HomeMy WebLinkAbout200805302008 IRP Part I.pdfEXECUTIVE OFFICES
INTERMOUNTAIN GAS COMPANY D
555 SOUTH COLE ROAD · P.O. BOX 7608 · BOISE, IDAHO 83707 · (208) 377-6000. FAX: 377-6097 2ßOB~lÂY 30 RHlO:I'f
May 30,2008
Jean Jewell
Commission Secretary
Idaho Public Utiliies Commission
472 West Washington St.
P. O. Box 83720
Boise, 10 83720-0074
RE: Intermountain Gas Company's 2008 Integrated Resource Plan
Case No. INT-G-08-02
Dear Ms. Jewell:
Attached for filing with the Idaho Public Utilities Commission are the original and seven
copies of Intermountain Gas Company's 2008 Integrated Resource Plan.
If there are any questions regarding the attached, please contact me at (208) 377-6168.
MPM/sc
Attachments
cc W. C. Glynn
E. Book
P. Powell
M. Rich
Table of Contents
EXECUTIVE SUMMARY ............................................................................................................................. 1
DEMAND FORECAST OVERVIEW ............................................................................................................ 8
HEATING DEGREE DAYS AND DESIGN WEATHER............................................................................. 22
USAGE PER CUSTOMER ........................................................................................................................ 27
CUSTOMER USAGE DURING PEAK MONTHS...................................................................................... 27
CUSTOMER USAGE DURING NON-PEAK MONTHS ............................................................................ 28
INDUSTRIAL FORECAST......................................................................................................................... 31
LOAD DURATION CURVES.....................................................................................................................38
TRADITIONAL SUPPLY-SIDE RESOURCES..........................................................................................43
NON-TRADITIONAL SUPPLY RESOURCES .......................................................................................... 51
AVAILABLE AND POTENTIAL SYSTEM CAPACITY ENHANCEMENTS .............................................55
DISTRIBUTION SYSTEM MODELING ..................................................................................................... 56
THE EFFICIENT AND DIRECT USE OF NATURAL GAS ...................................................................... 58
INTERMOUNTAIN DEMAND-SIDE MANAGEMENT PROCESS ............................................................ 64
RESOURCE OPTIMIZATION .................................................................................................................... 67
COMPARATIVE ANALYSIS ..................................................................................................................... 74
ATTACHMENTS........................................................................................................................................79
i
Table of Exhibits
Exhibit No. 1
Appendix A: John Church Economic Forecast
Appendix B: Intermountain Gas Market Penetration rates
Appendix C: Intermountain Gas Market Conversion Rates
Appendix D: Base Case - New Customers, Adjustments & Total Customer
Forecast
Appendix E: High Case - New Customers, Adjustments & Total Customer
Forecast
Appendix F: Low Case - New Customers, Adjustments & Total Customer
Forecast
Exhibit NO.2
Appendix A: Regression Statistical Output
Appendix B: Regression Equations
Appendix C: AGA I Intermountain Gas Company Price Elasticity Study
Appendix D: Regression Data - Peak and Non-Peak
Exhibit No. 3
Appendix A: Total Company Design Weather LDC Oata - Low Growth
Appendix B: Total Company Design Weather LDC Data - Base Growth
Appendix C: Total Company Design Weather LDC Data - High Growth
Exhibit NO.4
Appendix A: Idaho Falls Lateral Design Weather LDC Data - Low Growth
Appendix B: Idaho Falls Lateral Design Weather LDC Data - Base Growth
Appendix C: Idaho Falls Lateral Design Weather LDC Data - High Growth
Exhibit NO.5
Appendix A: Sun Valley Lateral Design Weather LDC Data - Low Growth
Appendix B: Sun Valley Lateral Design Weather LDC Data - Base Growth
Appendix C: Sun Valley Lateral Design Weather LDC Data - High Growth
Exhibit NO.6
Appendix A: Canyon County Area Design Weather LDC Data - Low Growth
Appendix B: Canyon County Area Design Weather LDC Data - Base Growth
Appendix C: Canyon County Area Design Weather LDC Data - High Growth
11
Exhibit No. 7
Appendix A: Map: Western North America - Natural Gas Basins and Pipelines
Appendix B: Chart - Historical Index Prices
Appendix C: Charts - Forecast Index Prices (Base, Low, High)
Appendix D: Arc and Node Representation
Exhibit NO.8
Appendix A: Aggregation of Days into 12 Periods
Appendix B: Model Inputs - Peak and Annual Demand by Period by Year
Appendix C: Model Inputs - Supply Resources
Appendix D: Model Inputs - Transport Resources
Appendix E: Model Results - Design Weather, Base Price, Base Case Growth
Appendix F: Model Results - Design Weather, High Price, Low Case Growth
Appendix G: Model Results - Design Weather, Low Price, High Case Growth
Appendix H: Model Results - Normal Weather, Base Price, Base Case Growth
Appendix I: Model Results - Normal Weather, High Price, Low Case Growth
Appendix J: Model Results - Normal Weather, Low Price, High Case Growth
Exhibit NO.9
Appendix A: Boise Public Workshop Announcement & Agenda
Appendix B: Pocatello Public Workshop Announcement & Agenda
Appendix C: Boise/Pocatello Workshop Presentation
Exhibit No. 10
Intermountain Gas Company Natural Gas Energy Effciency DVD
iii
Intermountain Gas Company System Map
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Intermountain Gas Company
Integrated Resource Plan
Executive Summary
This Executive Summary provides an overview of Intermountain Gas Company's (Intermountain or IGC)
2008 Integrated Resource Plan (IRP or Plan). Intermountain files an IRP bi-annually as directed by the
Idaho Public Utilities Commission (IPUC). This IRP encompasses a five-year forecast period from 2009
through 2013. Public input is an integral part of this planning process.
The main objective of the IRP is to rigorously develop a range of demand forecasts and then ensure the
Company has adequate natural gas supply resources to meet those projected demands over the five-
year timeline. The Company's commitment to provide reliable, year-round natural gas service to its firm
service customers is not limited to the IRP process but is grounded in a continual process of long-term
resource planning. Resource planning matches forecasted customer demand over various scenarios and
time periods with the appropriate mix of resources to ensure a reliable and consistent supply of natural
gas over the planning horizon.
This document represents a snapshot in time similar to a balance sheet. It is not meant to be a
prescription for all future energy resource decisions, as conditions wil invariably change over the planning
horizon impacting components of this Plan. Rather, this document is meant to describe conditions based
on current expectations for various demand scenarios over the 2009-13 five-year planning horizon, the
anticipated resource portolio, and the process for making resource decisions. The planning process
described herein is an integral part of Intermountain's ongoing commitment to make the wise and effcient
use of natural gas an important part of Idaho's energy future.
Backdrop
Natural gas continues to be the fuel of choice in Idaho. Many of Southern Idaho's homes, manufacturing
plants, commercial businesses, and anticipated natural gas fired generation, rely on natural gas to
provide an economic, effcient, environmentally friendly and most comfortable form of heating energy.
Intermountain endorses and encourages the wise and effcient use of energy in general and, in particular,
the direct use of natural gas within the Company's service area (see page 58).
Intermountain is the sole distributor of natural gas in Southern Idaho. Its service area extends across the
entire breadth of Southern Idaho, an area of 50,000 square miles, with a population of approximately
1,000,000. During fiscal year 2008, Intermountain has served over 300,000 customers in 74 communities
through a system of over 10,000 miles of transmission, distribution and service lines. Over 421 miles of
distribution and serVice lines were added during fiscal 2007 to accommodate new customer additions and
maintain service for Intermountain's growing customer base.
The economy of the Company's service area is based largely on agriculture and related industries. Major
crops are potatoes and sugar beets. Major agricultural industries include food processing and production
of chemical fertilizers. Other significant industries are electronics, general manufacturing, services and
tourism.
Intermountain provides natural gas sales and services to two major markets: the residential/commercial
market (or "Core Market) and the large volume, contract customer (or "Industrial) market. During the first
half of fiscal year 2008, an average of 272,200 residential and 33,700 commercial customers used natural
gas primarily for space and water heating, compared to an average of 261,000 residential and 26,200
commercial customers in the first half of fiscal year 2007. This equates to an increase in average
residential and commercial customers of nearly 5%.
Intermountain's industrial customers use natural gas for boiler and manufacturing applications, as well as
for feedstock in the production of chemical fertilizers. Industrial demand for natural gas is strongly
influenced by demand for agricultural products, the general state of the economy and the price of
1
alternative fuels. Forty-three percent (43%) of IGC's total system throughput during fiscal 2007 was
attributable to industrial sales and transportation.
Intermountain's peak day loads (throughput during the projected coldest winter day) are growing at a
manageable rate. But peak day loads are growing at a faster rate than the summer off-peak (or baseload)
throughput. The growth in Intermountain's projected peak day load is attributable to two factors: 1)
growth in Intermountain's customer base, primarily residential and commercial, and 2) production related
growth occurring in the industrial market which primarily impacts Intermountain's distribution system
requirements but not its interstate pipeline capacity demand. The disproportionate growth in the Core
Market peak loads are largely driven by the fact that much of the energy effciency gained from new
technology and codes is most effective on the non-peak load.
The customer growth forecast and commensurate demand forecast was analyzed and forecast not only
from a total company perspective but also by three specific geographic regions within Intermountain's
service territory. The regions were selected because they are located in growth areas that have a finite
amount of capacity which therefore could potentially be exceeded under the most robust demand
projections. Those regions, or "Focus Zones", as more fully delineated later in this document, are known
as the Idaho Falls Lateral (lFL), the Sun Valley Lateral (SVL) and the Canyon County Area (CCA). The
remaining demand zones on the distribution system do not exhibit the same potential capacity issues and
are therefore combined into one group denoted as "All Othet'.
Peak day sendout studies and load duration curves were developed under both normal and design
weather conditions (see page 38) to determine the magnitude and timing of future deficiencies in firm
peak day delivery capabilty from both a total company interstate mainline perspective, as well as within
each specific geographic Focus Zone. Residential, commercial and industrial customer peak day sendout
was matched against available resources to determine which combination of new resources would be
needed to meet Intermountain's future peak day delivery requirements at the best possible cost.
Forecast Peak Day Sendout
Total Company
Residential, commercial and industrial peak day load growth on Intermountain's system under design
conditions is forecast over the five-year period to grow at an average annual rate of 4%. The table below
summarizes the forecast for peak day sendout under the Design "Base Case," which includes the most
likely customer growth and gas price assumptions. Those figures also highlight the fact that growth in the
peak day is commensurate with the growth projected to occur in Intermountain's residential and small
commercial customer markets.
LOAD DURATION CURVE - TOTAL COMPANY DESIGN BASE CASE
(Volumes in Therms)
NWPFirm Peak Day Sendout Incremental Peak Day Sendout
Transport Core Industrial Core Industrial
Capacity Market Firm CD Total Market Firm CD1 Total
FY09 2,749,590 3,614,703 190,630 3,805,333
FY10 2,748,770 3,726,241 190,630 3,916,871 111,538 0 111,538
FY11 2,751,270 3,837,766 190,630 4,028,396 111,525 0 111,525
FY12 2,743,760 3,949,245 190,630 4,139,875 111,479 0 111,479
FY13 2,736,250 4,060,829 190,630 4,251,459 111,584 0 111,584
1 Future growth in transport CD is limited to T-4, which does not affect Intermountain's interstate pipeline capacity requirements.
2
Existing Resources:
Intermountain's existing firm delivery capabilty on the peak day is made up of the resources shown
below:
PEAK DAY FIRM DELIVERY CAPABILITY
(Volumes in Therms)
FY09 FY10 FY11 E:FY13
Maximum Daily Storage Withdrawals:
Nampa LNG 560,000 560,000 560,000 560,000 560,000
Plymouth LS 1,132,000 1,132,000 1,132,000 1,132,000 1,132,000
Jackson Prairie SGS 225,000 303,370 303,370 303,370 303,370
Total Storage 1,917,000 1,995,370 1,995,370 1,995,370 1,995,370
Maximum Deliverabilty (NWP)2,749,590 2,748,770 2,751,270 2,743,760 2,736,250
Total Peak Day Deliverabilty 4666590 4744140 4746640 4739130 4731620
When forecasted peak day sendout is matched against existing resources, there are no peak day delivery
deficits.
Regional Studies
As mentioned above, certain Focus Zones within Intermountain's distribution system were analyzed
based upon the anticipated need for distribution system upgrades. Not unlike the total company interstate
mainline perspective, the projected peak day send out for each region was measured against the known
distribution capacity available to serve that region under various demand projections. In addition to the
firm delivery requirements for Intermountain's residential and commercial customers, the needs of those
industrial customers contracting for firm distribution transportation service (Intermountain's T-1, T-2 and
T -4 customers) were also included as part of these regional studies. A wide array of alternatives were
evaluated in determining the preferred method of meeting any projected deficits in Intermountain's service
territory (see Non-Traditional Supply Resources - Page 51). Additionally, each region is assessed within
the framework of the Company's Distribution System Model (See Page 56).
Idaho Falls Lateral Region
The IFL is 104 miles in length and serves a number of cities from Pocatello in the south through St.
Anthony in the north (See Map on Page vi). The customers served off the IFL represent a diverse base of
residential, commercial and large industrial customers. The residential, commercial and industrial load
served off the IFL represents approximately 16% of the total company customers and 21 % of the
company's total winter sendout during December 2009.
When forecasted peak day sendout on the IFL is matched against the existing peak day distribution
capacity of 1,000,000 therms, there are no peak day deficits throughout the 5 year IRP Plan:
3
5"
LOAD DURATION CURVE ..IDAHO FALLS DESIGN BASE CASE
(Volumes in Therms)Existing
Distribution Peak Day Sendout Incremental Peak Day Sendout
Transport Core Industrial Core Industrial
Capacity Market FirmCD1 Total Market Firm CO2 Total
FY09 1,000,000 653,248 221,750 874,998
FY10 1,000,000 681,303 221,750 903,053 28,055 0 28,055
FY11 1,000,000 707,330 221,750 929,080 26,027 0 26,027
FY12 1,000,000 732,419 221,750 954,169 25,089 0 25,089
FY13 1,000,000 757,149 221,750 978,899 24,730 0 24,730
, Existing firm contract demand includes T -1, T -2 and T -4 requirements.2Future growt in trnsport CD is limited to T-4 and, under Base Case assumptions, there is no growth in T -4 CD.
FIRM DELIVERY DEFICIT - IDAHO FALLS DESIGN BASE CASE
(Volumes in Therms)
Peak Day Deficit1
Total Winter Deficit
FY09
o
FY10
o
FY11
o
o
FY12
o
o
o
FY13
o
o o
o
o o
Days Requiring Additional Capacity o o
'Equal to the total winter sendout in excess of distrbution capacity.2Equal to the total winter sendout in excess of interstate capacity less total "peaking" storage. Peaking storage does not
require the use of Intermountain's traditional interstate capacity to deliver inventory to the citygate.
The industrial customer base on the IFL is unique in that several of these customers have the potential
and abilty to mitigate peak day consumption by switching to alternate fuels during extreme cold
temperatures. Although these customers prefer using natural gas to any other fuel, Intermountain
believes that small, short duration peak day distribution delivery deficits in the future could be mitigated by
working with these customers to faciltate the use of fuel oil at these customer's faciliies. However, since
there are no deficits in the Base Case, no industrial alternate fuel use is required.
Sun Valley Lateral Region
The residential, commercial and industrial load served by the SVL represents approximately 3.5% of the
total company customers and 3.3% of the company's total winter sendout during December 2007.
When forecasted peak day sendout on the SVL is matched against the existing peak day distribution
capacity (180,000 therms), a peak day delivery deficit occurs during 2009 and increases at the levels
shown on the following tables:
4
LOAD DURATON CURVE - SUN VALLEY DESIGN BASE CASE
. (Volumes in Therms)
Existing
Distribution Peak Day Sendout Incremental Peak Day Sendout
Transport Core Industrial Core Industrial
Capacity Market Firm CDt Total Market FirmCD2 Total
FY09 180,000 172,538 8,150 180,688
FY10 180,000 175,695 8,150 183,845 3,157 0 3,157
FY11 180,000 180,230 8,150 188,380 4,535 0 4,535
FY12 180,000 184,037 8,150 192,187 3,807 0 3,807
FY13 180,000 187,705 8,150 195,855 3,668 0 3,668
, Existing firm contract demand includes T -1, T.2 and T -4 requirements.2Future growth in transport CD is limited to T-4 which only impact Intermountain's distribution capacity requirements.
FIRM DELIVERY DEFICIT. SUN VALLEY DESIGN BASE CASE
(Volumes in Therms)
FY09 FY10 FY11 FY12 FY13
Peak Day Deficit 690 3,840 8,380 12,190 15,860
Total Winter Deficit 690 4,970 13,960 25,130 38,500
Days Requiring Additional Capacity 2 2 3 4
'Equal to the total winter sendout in excess of distribution capacity.
2Equal to the total winter send out in excess of interstate capacity less total "peaking" storage. Peaking storage does not
require the use of Intermountain's traditional interstate capacity to deliver inventory to the citygate.
As can be seen from the preceding table, growth at the end of the SVL results in small deficits under the
Design Base Case beginning in FY09. The primary industrial load on the SVL is tourism and medical
services related and its peak day throughput is relatively small. Moreover, not one industrial customer on
the SVL has the capability to switch to alternative fuels so using industrial fuel to mitigate peak day
sendout is not an option. Again, a wide array of alternatives was evaluated to determine the best means
to cover the projected deficits. The optimization model indicated that the most cost-effective method to
increase delivery capabilty on the SVL is the addition of a compressor station prior to FY11. While there
are some small deficits in FY09 and FY10, the rebuilding of the primary gate station that serves the SVL
and the use of Iinepack should be able to cover small, short-duration deficits until the new capacity comes
on line for the FY11 heating season.
5
Canyon County Region
The residential, commercial and industrial load served off the CCA represented approximately 15% of the
total company customers and 13% of the company's total winter sendout during Decmber 2007.
When forecasted CCA peak day design send out is matched against only the existing peak day
distribution capacity (690,000 therms), a peak day delivery deficit occurs during 2012 and increases at
the levels shown on the following tables:
LOAD DURTON CURVE - CANYON COUNTY DESIGN BASE CASE
(Volumes in Thers)
Existing
Distribution Peak Day Sendout Incremental Peak Day Sendout
Transport Core Industral Core Industral
Capacity Market FirmCDI Total Market FirmCDz Total
FY09 690,000 519,931 102,500 622,431
FYIO 690,000 543,845 102,500 64,345 23,914 0 23,914
FYll 690,000 567,020 102,500 669,520 23,175 0 23,175
FY12 690,000 591,1l7 102,500 693,617 24,097 0 24,097
FY13 690,000 614,610 102,500 717,1l0 23,493 0 23,493
¡Existig fir contrct demad includes T-t, T-2 and T-4 reuirements.
2Futu grwth in trnsport CD is limited to T -4 which only imacts Intennuntain's dibution capacity reuients.
FIR DELIVERY DEFICIT - CANYON COUNTY DESIGN BASE CASE
(Volumes in Thers)
FY09 FYIO FYll FY12 FY13
Peak Day Deficit!0 0 0 3,620 27,110
Total Winter Deficir 0 0 0 3,620 34,730
Days Requiring Additional Capacity 0 0 0 2
¡Equal to the total witer senout in excess of distrbuton capaity.2Equal to the tota winer senout in exces of intere capaity less total "peg" storage. Peang storage does not reui the use of
Intermountain's trditiona intertate capacity to deliver inventory to the citygate.
While diverse in nature, no industrial customers served in the CCA currently have the capabilty to switch
to alternative fuels as a means of mitigating peak day send out and Intermountain is currently exploring
optional means of enhancing the distribution capability in this area. Therefore the optimization model
selected a pipeline looping project with an in-service of FY12 as the best solution to this capacity deficit.
6
Summary
Residential, commercial and industrial customer growth and its consequent impact on Intermountain's
distribution system was analyzed using both design and normal weather conditions under various
projected outcomes of Idaho's economy and natural gas price projections. Peak day i;endout under each
of these demand scenarios was measured against the available natural gas delivery systems - both
interstate and distribution - to project the magnitude and timing of delivery deficits, from both a total
company and regional perspective. The resources brought to bear to meet demand and eliminate any
potential deficits were analyzed within a framework of options, both traditional and non-traditional, to help
chart the most cost-effective means to meet projected loads. As Intermountain employs the alternatives
highlighted by this IRP process, its core market and firm transportation customers wil continue to enjoy
uninterrupted firm service both now and in the years to come.
7
DEMAND FORECAST OVERVIEW
The first step in resource planning is forecasting future load requirements. Three essential components
of the load forecast include projecting the number of customers requiring service, forecasting the weather
sensitive customers' response to changing temperature assumptions and estimating the weather those
customers may experience. Load projections of non-weather sensitive customers are also included.
Intermountain's long-range demand forecast incorporates various factors including divergent customer
forecasts (Low Growth, Base Case, High Growth), statistically based gas usage per customer
calculations, varied weather profiles and banded natural gas price projections (all of which are fully
discussed further in this document). Using various combinations of these factors results in eighteen
separate and diverse demand forecast scenarios for the weather sensitive Core Market customers.
Combining those projections with the largely non-weather sensitive industrial market forecast provides
Intermountain with eighteen total company demand scenarios that envelop a wide range of potential
outcomes. These forecasts not only project monthly and annual loads but also predict daily usage
including peak demand events. The forecast is further refined by the development and inclusion of base,
high and low gas price forecasts. The inclusion of all this detail allows Intermountain to evaluate the
adequacy of its supply arrangements under a wide range of demand scenarios. The next several
sections outlne the methodology used to build the demand forecast for this IRP.
RESIDENTIAL AND COMMERCIAL CUSTOMER GROWTH FORECAST
This section of Intermountain Gas Company's Integrated Resource Plan describes and summarizes the
residential and commercial customer growth forecast for the years 2009 through 2013. This forecast
provides the anticipated magnitude and direction of IGC's residential and small customer growth by IGC
focus zones for IGC's current service territory. Customer growth is the primary driving factor in IGC's five-
year demand forecast contained within this IRP.
The Focus Zones are as follows:
· Canyon County Area Focus Zone: consisting of the Core Market Customers in Canyon County.
· Sun Valley Lateral Focus Zone: consisting of the Core Market Customers in Blaine and Lincoln
Counties.
· The Idaho Falls Lateral Focus Zone: consisting of the Core Market Customers in Bingham,
Bonnevile, Fremont, Jefferson, and Madison Counties, along with approximately 30% of the Core
Market Customers in Pocatello, Bannock County.
· All Other Customers Focus Zone: consisting of the Core Market Customers in Bear Lake, Caribou,
Cassia, Elmore, Gem, Gooding, Jerome, Minidoka, Owyhee, Payette, Power, Twin Falls, and
Washington Counties. Additionally, 70% of the Core Market Customers in Pocatello, Bannock
County, as well as the rest of Bannock County, are included in this segment.
IGC's customer growth forecast includes three (3) key components:
· Residential New Construction Customers
· Residential Customers who convert to natural gas from an alternative fuel (conversion customers)
· Small Commercial Customers
8
To calculate the number of customers added each year, the annual change in households for each
county in the IGC Service Territory is determined using the Idaho Economics 2007 Economic Forecast for
the State of Idaho by John S. Church (Church Forecast), dated May 2007 (see Exhibit 1, Appendix A).
Usihg the assumption that a new household means the need for a new dwellng, the annual change in
households by county is multiplied by IGC's market penetration rate in that region to determine the
additional residential new construction customers. Next, that number is multiplied by the IGC conversion
rate, which is the anticipated percentage of conversion customers relative to new construction customers
in those locales. This results in the number of expected residential conversion customers and, when
added to the residential new construction numbers, the total expected additional residential customers
across the periods is derived, by county.
The residential new construction numbers by county are multiplied by the IGC commercial multiplier rate,
which is the anticipated percentage of commercial customers relative to residential new construction
customers in those locales, to arrive at the number of expected additional small commercial customers.
The residential numbers must be split across our two residential rate classes, RS-1 and RS-2, since these
classes have different load patterns. RS-1 is a space heating customer who does not have both a gas
furnace and a gas water heater, regardless of other appliances. RS-2 customers have at least a gas
furnace and a gas water heater. Virtually 100% of IGC's residential new construction customers are RS-
2, while only regionally varying percentages of IGC's residential conversion customers are RS-2. So, the
additional residential conversion customers are split between RS-1 and RS-2, depending on the region.
With the current uncertainty in the housing market, IGC has chosen to project a base case core-market
customer growth forecast as a flat 10,000 new customers per year for the 2009 - 2013 IRP period. The
Church Forecast household numbers are employed to determine the relative shape of the customer
additions, that is, the location of additional customers within our system.
The following graph depicts the relationship or "shape" of customer additions by segment~
IIRP BASE CASE FORECAST GROWT BY SEGMENTI
6,000
5,000
4,000
o FY09
~FY10
3,000 .FY11
I!FY12
.FY13
2,000
1,000
o
CANYON SUN VALLEY IDAHO FALLS ALL OTHER
9
The Church Forecast contains three ecnomic scenarios: base case, low growth, and high growth. IGC
has incorporated these scenarios into the customer growth model, and has developed three five-year
core market customer growth forecasts. The following graph shows the annual additional customers for
each of the three economic scenarios.
Annual Additional Customers
Residential and Small Commercial
16,000
8,000
~High Growth
"Base Case..LowGrowth
14,000
12,000
10,000
6,000
FY09 FY10 FY11 FY12 FY13
The following table shows the relationship of the results from the 5-year customer growth model for each
scenario for the total customers at each year-end, and the annual additional or incremental, customers:
TOTAL CUSTOMERS ANNUAL ADDITIONAL CUSTOMERS
Range as a %Average as a %Rangeasa%Average as a %
Of Base Case of Base Case Of Base Case of Base Case
Low Growth 96%-99%97%64%-75%69%
Base Growth 100%-100%100%100% -100%100%
Hiah Growth 101% -105%103%128% -152%137%
Range Range
(2009 - 2013)Average (2009 - 2013)Average
Low Growth ~02,073 - 326,886 314,530 6,425 -7,500 6,944
Base Growth ~04,577 - 342,177 323,375 10,000 - 10,000 10,000
High Growth ß08,257 - 360 707 334,44 13,690-15,180 13,707
The following sections explore more fully the different components of the customer forecast, including the
Church Forecast, market penetration and conversion rates, and small commercial growth.
10
Household Projections I Church Forecast
The May 2007 Church Forecast provides county by county projections of output, employment and wage
data for 21 industry categories for the State of Idaho, as well as a population and household forecast.
This simultaneous equation based model uses personal income and employment by industry as the main
economic drivers of the forecast. This model uses forecasts of national inputs and demands for those
sectors of the Idaho economy having a national or international exposure. Industries that do not have as
large a national profile, and are thus serving local communities, are considered secondary industries.
Local economic factors, rather than the national economy determine demand for these products.
The Church Forecast uses two methods for population projections: (1) a cohort-component population
model in which annual births and deaths are forecast, and then the net number is either added to or
subtracted from the population; and (2) an econometric model which forecasts population as a function of
economic activity. The two forecasts are then compared and reconciled for each quarter of the forecast.
Migration into or out of the state is arrived at in this reconcilation.
As previously mentioned, the Church Forecast provides three scenarios: (1) baseline, (2) high growth,
and (3) low growth. The baseline scenario assumes a normal amount of economic fluctuation, a normal
business cycle. This becomes the standard against which changes in customer growth, as affected by
the low and high growth scenarios can be measured.
The Base Case Economic Growth Scenarios
The Summer 2007 Economic Forecast for the State of Idaho and its 44 counties is for a stronger
economic outlook than that contemplated in the Summer 2006 Forecast. Despite a slowdown in housing
construction, Idaho's economy continued to post employment gains at a rate that was at lest twice the
national average rate, and at times, close to three times that of the nation as a whole.
Nevertheless, the manufacturing industries in Idaho, which were the hardest hit in the national recession
of 2001, had stil not regained employment to pre-recession levels by the end of 2006. The prospects for
future manufacturing job gains have softened in the Summer 2007 economic outlook from those projected
in the prior year. In particular, Idaho's natural resource-related manufacturing industries, and its high-tech
manufacturing industries are deemed to be troubled in the near-term of this economic outlook.
Idaho's manufacturing sector had been the State's engine of growth throughout the 1990s. Nevertheless,
Idaho's manufacturing industries could not withstand the economic forces of the 2001 national recession,
and manufacturing in Idaho slipped by 2.3%, 5.0%, and 4.5% in 2001, 2002, and 2003, respectively. In
2004, the rate of manufacturing job losses in the State slowed to a more modest 0.8% pace. At year-end
2004, Idaho had shed nearly 9,500 manufacturing jobs from its August 2000 pre-recession peak, when
the manufacturing sector employed nearly 71,100 statewide. Similarly, the natural resource industries of
logging and mining also experienced severe employment cutbacks during the last recession which, in
total, reduced the industry's employment in Idaho by nearly 25% during the 2001 to 2004 period.
Despite an unprecedented level of housing demand in the nation during 2005, Idaho's lumber and wood
products industries did not even exhibit a glimmer of renewed life in spite of the overwhelming demand for
lumber products. Add to that a serious downturn in the prices for computer memory chips, and two of
Idaho's larger manufacturing industries that one would have expected to be a continuing source of
economic strength throughout 2005 and 2006, faltered badly. However, Idaho's mining industry showed
renewed strength with the rise in precious metals prices that has occurred over the last two years.
During the 2001 national economic slowdown, and the concurrent slowdown in the Idaho economy, state
government in Idaho experienced a sharp drop in income and sales tax collections. Faced with the
prospect of annual operating budget deficits, the state found it necessary to not only cut spending, but to
curtail employment. Government employment in Idaho, which, prior to the recession had been increasing
at an annual average pace of nearly 2.5% per year, slowed to a 1.3% pace in 2001 and 2002. During
2003, state government employment declined by nearly 0.7%. Total government in Idaho (federal, state,
11
and local) managed to post a modest 0.9% gain for 2004. However, in 2005 and 2006, government
employment growth in Idaho returned to positive territory, with gains of 1.1 % and 1.5%, respectively.
In 2006, Idaho's economy posted an overall gain in nonagricultural employment of 4.6%, about 28,300
jobs. Construction employment in Idaho also remained strong in 2006, posting an annual average gain of
15.8% over 2005 levels. This was a surprising outcome given Idaho's 2006 slowdown in residential
housing construction from the torrid pace of housing additions that the state experienced in 2005.
Increased commercial and infrastructure construction activity made up for the losses that occurred due to
the slackening of residential housing starts.
Employment gains throughout Idaho were stronger than expected in 2006. In particular, the Treasure
Valley and the Magic Valley captured the lion's share of the employment gains that the State experience
in 2005 and 2006.
In the Boise MSA, overall nonagricultural employment increased by 6.2% in 2006, a pace three times
greater than the national average. Similar gains were posted in the Magic Valley, with strong growth
continuing in that area's economy. Southwest Idaho and South central Idaho were the only two regions
of the State that could boast of manufacturing employment gains over the past two years. The
manufacturing job gains in Southwest Idaho were largely due to increased employment in the area's
durable goods manufacturing sectors (mostly equipment, with only a modest gain in electronics
manufacturing). The manufacturing job gains in South central Idaho can be solely attributed to
employment gains in the region's dairy industry.
The service industry in Idaho has also experienced a notable increase in employment over the past 12 to
18 months. The professional and business services sector of the Idaho economy posted an annual
average increase in employment of 4.7% in 2006. Professional and Business services employment
growth in the Boise MSA averaged 6.2% in 2006. The Leisure and Hospitality service industries posted
employment gains of 4.5% and 5.6% in the State and Boise MSA, respectively, in 2006. Health care
services posted modest employment gains in the most recent past when compared to some historic
trends. Health care service industry employment in Idaho increased at a 3.9% rate in 2006. In the Boise
MSA, a more modest 1.9% increase was posted in the most recent annual period.
Another area of strong employment gains over the 12 to 18 months has been in the Wholesale and Retail
Trade sectors of the economy. Retail Trade employment in Idaho increased at a 5.2% pace in 2006-
about 4,000 additional jobs. The Boise MSA also posted strong employment gains in Retail Trade, with a
7.0% increase - 2,100 jobs, in the latest annual period.
Recent economic indicators show that some areas of the Idaho economy have slowed over the past 12 to
18 months. Nevertheless, the statistics clearly indicate that the Idaho ecnomy remains strong, despite
the slowdown in some sectors of the national and local economies.
In the Summer 2007 Economic Forecast, nonagricultural employment in Idaho is projected to be nearly
2.8% higher by the year 2030 than the level projected in the 2006 Forecast.
Manufacturing employment does not fare as well in the Summer 2007 Outlook, slipping 1.9% below the
levels forecasted in the Summer 2006 Outlook by the year 2015, and dropping by 1.3% by the year 2030.
Projections of the future population growth in Idaho remain strong in the 2007 Outlook. Idaho's total
population is forecasted to reach nearly 1.76 millon by 2015, and exceed 2.28 millon by 2030. These
projected population figures are 3.5% and 4.8%, respectively, above the population levels anticipated in
the Summer 2006 Outlook. The number of future household projected in the State are similarly higher in
the 2007 Outlook.
Idaho continues to be one of the few states in the union with a positive net internal migration - more
people are moving to Idaho than are leaving. This fact has been the major cause for Idaho being ranked
as one of the top five fastest growing states, in terms of population growth for the last five years. Current
indications are that this trend is likely to continue.
The High and Low Economic Growth Scenarios
12
The High and Low Growth Scenarios of the Summer 2007 Economic Forecast present alternative views
of the economic future of Idaho and its fort-four counties. The High Growth Scenario of the Economic
Forecast presents a long-term vision of rapidly growing economy in Idaho. For example, the High Growth
Scenario produces a projected statewide population of nearly 2,539,300 in the year 2030 versus a Base
Scenario Idaho population forecast of 2,281 ,240 in the same year. The High Growth scenario presents an
absolute population gain of nearly 1,073,000 over Idaho's estimated 2006 population of 1,466,470, and
an annual average compound rate of population growth of 1.9% per year.
Alternatively, the Low Growth Scenario of the Summer 2007 Economic Forecast does not present as rosy
an economic outlook for the Idaho economy. In the Low Growth Scenario, Idaho's 2030 population is
projected to reach the much lower level of 1,968,060. The Low Growth Scenario's projected 2030
population is 173,800 above Idaho's estimated 2006 population of 1,466,470, and represents an annual
average compound growth rate of population growth of 1.1 percent per year.
While the High and Low Growth Scenarios of the Economic Forecast represent two significantly diferent
views of Idaho's economic future, they are not unprecedented. An examination of historic employment,
population, and household growth over the 1970 through 2000 period was performed. This examination,
using either 5-year or 10-year moving averages of the growth of 1-digit SiC code employment concepts,
population, and households in order to dampen the effects of peak periods of economic growth, revealed
that historic levels have exceeded the projected rates of growth in the High and Low Growth Scenarios of
the Summer 2007 Economic Forecast.
An examination of the possible economic and demographic events that could produce the economic and
population growth projected in the High and Low Growth Scenarios is outlined below.
The High Growth Economic Forecast Scenario:
In the High Growth Scenario (High Growth) of the Summer 2007 Idaho Economic Forecast, it is assumed
that the State of Idaho continues to be an attractive environment for manufacturing firms. Therefore, in
spite of the employment losses that the State experienced in the last economic slowdown, Idaho's
manufacturing industries regain some economic traction, and continue to expand in the future. However,
High Growth does not assume that new growth in the manufacturing sector will be the driver of economic
growth in the State. A greater number of manufacturing jobs in High Growth, when compared to Base
Case, only account for approximately 5.0 percent of the total additional jobs projected in High Growth.
Nevertheless, the specific assumptions concerning the manufacturing industries in High Growth are:
· The Food Processing industry regains strength, and increases employment. By the years 2010
and 2020, High Growth projects that employment in the Food Processing segment wil be nearly
500 jobs (5.0%) and 600 jobs (4.0%), respectively, higher than in the Base Case. Differing from
High Growth Forecasts from prior years, High Growth assumes that at least two additional food
processing plants wil open during the 2007 - 2036 forecast period. However, it is also assumed
that Idaho's traditional food processing plants, which primarily process vegetable products, wil
not fare well in any of the future scenarios. In High Growth, it is projected that the traditional
vegetable processing plants will only lose jobs at a slower rate than is forecasted in the Base
Case and Low Growth. The projected employment gains in the food processing industry are all
expected to be in those plants processing dairy products. Those plants are most likely to be
located in the Magic Valley area of the State, and maybe more likely to be located at the
periphery of the traditional concentration of the dairy industry in that area, Le., on the eastern
edge in either Cassia or Minidoka Counties, or in Elmore County on the western side of the area.
13
. Employment in Idaho's Lumber and Wood Products manufacturing industry has remained stable,
and with the surge in residential housing that occurred in 2005, the industry actually posted some
overall job gains. Nevertheless, while High Growth does project higher levels of employment
than those projected in the Base Case, they are modest. The Lumber and Wood Products
industry is projected to have nearly 100 more jobs in High Growth compared to the Base Case by
the year 2010. Most of these jobs wil be in wood product manufacturing - doors, windows, and
moldings, etc.
. Idaho's Electronics Industry rebounds in High Growth, with the projected opening of a new
production plant in the Boise MSA. This plant is projected to be roughly equivalent in size to
AMI's facilty in Pocatello, and is expected to employ approximately 750 people by the year 2010.
In the Base Case, it is projected that other, already existing electronics industry manufacturers in
Idaho are expected to add nearly 4,000 jobs over the 2005 to 2035 forecast period with other,
new-to-Idaho manufacturers adding nearly 4,400 new jobs in that same forecast period. High
Growth does not produce a signifcantly-higher level of employment than that found in the Base
Case.
· Idaho's employment in Stone, Clay, and Glass Products, and Fabricated Metal Products
manufacturing are projected to be nearly 5.0% greater in High Growth than in the Base Case by
the year 2010. This assumption is based upon an economic outlook that anticipates a
continuation of high levels of activity in the region's Construction Industry. This assumption adds
an additional 400 manufacturing to the High Scenario.
· Transportation, Communications, and Utilties employment in High Growth is projected to be
greater by the year 2013 than in the Base Case. The High Growth increases in Transportation
Industry employment are expected to occur in Idaho's air transportation sector. It is anticipated in
High Growth, that growth in air transportation employment in Boise will accelerate, and that a
long-rumored regional air freight hub wil be established at the Boise Air TerminaL. In addition, a
new airport for the Wood River Valley wil be put on a fast track. This new, larger, and safer
airport facility wil attract increased air transportation activity not only directly to the Wood River
Valley, but also indirectly with connecting flights to Boise. In addition, the Communications and
Utilities sectors are expected to see higher levels of employment in High Growth. In both the
Communications and Utilties industries, a large portion of this projected increase in employment
is in reaction to faster population and household growth in the State. However, another
component of this projected higher level of employment is the assumed continuation of the
growth in the Communications industry's "Call centet' faciliies in Idaho, and the possible
establishment of two or three large independent electric power production facilities, including wind
farms, in Idaho.
· Wholesale and Retail Trade industry employment in High Growth is projected to be nearly 7,950
jobs (4.7%) greater by the year 2010 than in the Base Case. This difference is largely due to the
higher levels of population and households projected in High Growth. It is also anticipated that
most of this Wholesale and Retail Trade employment would be physically located on the Snake
River plain of Southern Idaho near the population and household growth.
· Service industry employment in High Growth is projected to be even more robust than in the
already strong outlook found in the Base Case. In High Growth, the outlook for employment in
the Service industry is projected to be nearly 8,140 jobs (4.0%) greater than the Base Case
outlook by the year 2010. Again, a large portion of this difference is due to the higher levels of
population and household growth anticipated in High Growth. Hotel and motel accommodations
and activities are also classified in the Service industry category.
· High Growth assumes that tourism-related or recreation travel Idaho increases, and as a result,
employment in the lodging and recreation sectors also increases.
14
. The Service industry outlook in High Growth assumes that there is a portion, roughly one-half, of
the projected higher level of service industry employment that is caused by the relocation of firms
new to Idaho. The Federal Reserve Bank of San Francisco speculates that a portion of the
strong economic growth that is currently being experienced in Arizona, Nevada, New Mexico,
Oregon, Utah, and Idaho is due to an out migration of population and businesses from California.
Their studies have shown that many small California firms have come to a realization that the
cost of doing business in California has become too great for them to remain competitive.
Therefore, an increasing number of these firms are making decisions to relocate close to, but
outside of, California. Hence, the very rapid growth occurring in Nevada, Arizona, and to a lesser
extent, Southern Oregon. Currently, New Mexico, Utah, and Idaho are capturing only a small
portion of that exodus. High Growth assumes that this trend continues, and that Idaho, over time,
captures a larger share of those relocation decisions.
. Federal Government employment in High Growth is projected to be nearly 375 jobs greater than
in the Base Case by the year 2010. These increased Federal Government jobs area all assumed
to be associated with increased activity at INEEL in Eastern Idaho. Local Government
employment in High Growth is projected to be nearly 2,700 jobs higher (2.5%) than Base Case by
the year 2010. Higher rates of population and household growth in High Growth are the driving
force behind the projected greater numbers for Local Government Employment.
. By the year 2010, the High Growth forecast of population and number of households in Idaho is
3.0% higher than the Base Case figures. This represents nearly 48,340 more people in the State
by the year 2010, and nearly 18,440 additional households.
The Low Growth Economic Forecast Scenario:
In Base Case, it is projected that Idaho wil gain nearly 4,300 manufacturing industry jobs over the 2005
to 2013 period. In Low Growth, Idaho gains virtually no jobs in manufacturing employment, and gains
nearly 5,000 jobs over the period 2005 to 2013.
. In Low Growth, the State's loss of jobs in the Food Processing industry accelerates. The potato
processing plants in Southern Idaho would realize most of these job losses. It is assumed in Low
Growth that the JR Simplot plant in Caldwell would cut its workforce by nearly half. In addition, it
is anticipated in Low Growth that the sugar processing plants in Southern Idaho would also feel
increased pressure from competition, and would find it necessary to close one or both of the
plants in Paul or Twin Falls. The dairy industry and its associated food processing would reach a
point where no further capacity could be added due to increased population and environmental
pressures.
. Employment losses in Idaho's Lumber and Wood Products manufacturing industry are assumed
to accelerate in Low Growth. The brunt of these additional losses would be felt in those portions
of the wood products industry that could be increasingly vulnerable to low cost foreign-produced
products - the Wood Grain Molding plants in Fruitland and Nampa.
. Idaho's Electronics industry continues to add jobs over the period 2005 to 2013 in Low Growth,
but at a pace much slower than that in the Base Case. No existing firms are assumed to close in
this scenario. On the contrary, Low Growth can accommodate the addition of one or two small
Electronics manufacturing pants equivalent to AMI's Pocatello facility. In Low Growth, the plant
being constructed in Pocatello to manufacture photovoltaic and panels is assumed to open and
operate for 5 years, and then close because of pressures from foreign competition in the industry.
. Idaho's employment in Stone, Clay, and Glass Products and Fabricated Metal Products
manufacturing are both projected to be at lower levels in Low Growth. This projection is based
upon an economic outlook that foresees lower levels of construction activity in the State.
· Transportation, Communications, and Utilities employment in Low Growth is projected to have
fewer jobs by the year 2013 than Base Case. It is assumed that the lower overall economic
15
growth inherent in Low Growth produces lower levels of demand for transportation. Also inherent
in Low Growth is the assumption that there wil be some closures of some food processing
facilties, which normally require large amounts of truck transportation.
· Wholesale and Retail Trade employment in Low Growth is projected to be lower than in Base
Case in the year 2010. This trend continues through the IRP forecast period. The difference is
largely due to the lower levels of population and household growth found in Low Growth.
· The forecasted Low Growth employment in the Finance, Insurance, and Real Estate sector falls
below Base Case by the year 2010, and slips even further below the Base Case by the year
2013. Again, the difference is largely due to the lower levels of population and household growth
found in Low Growth.
· The outlook for the Service industry in Low Growth assumes that employment growth in the
Service sector wil slow to a 2.3% pace from the present to the year 2013 from the robust 4.3%
rate the State experienced between 2000 and 2005. By the end of the forecast period (2013), the
Low Growth forecast of Service industry employment is well below Base Case. However, by any
standard, Idaho's annual average increase in Service industry employment over the IRP forecast
period in Low Growth remains respectable.
· Future Government employment in Low Growth is projected to be 3.2% (3,940 jobs) lower than
the Base Case in the year 2010, and even further below the Base Case in the year 2013. The
differences are roughly the same as the 2020 outcome in the year 2030. Again, the difference is
largely due to the lower levels of population and household growth. Federal Government
employment is projected to increase by a modest amount in Low Growth.
· In Low Growth, the forecasted population and number of households in Idaho is nearly 3.6%
below Base Case by the year 2010. This represents nearly 57,900 fewer people, and nearly
21,440 fewer households in the State in the year 2010. The projected gap between Low Growth
and the Base Case widens further through 2013. Similarly, the forecasted number of Idaho
households in Low Growth is lower than the Base Case forecast by nearly 192,000 in the year
2013.
The following graphs ilustrate the relationship between the three economic scenarios for the annual total
households forecast and the annual additional households forecast for the IGC Service Territory counties.
16
16,000
14,000
12,000
10,000
8,000
6,000
4,000
I ANNUAL ADDITONAL HOUSEHOLDS FORECAST I
..HIGH GROWTH
-eBASE CASE
..LOWGROWT
FY09 FY10 FY11 FY12 FY13
510,000
495,000
480,000
465,000
450,000
435,000
420,000
I
ANNUAL TOTAL HOUSEHOLDS FORECAST
I
..HIGH GROWTH
-eBASE CASE
..LOWGROWTH
FY09 FY10 FY11 FY12 FY13
Market Share Rates
IGC utilizes market penetration rates that vary across the service territory. These regional penetration
rates are applied to the IGC service-territory counties within the three specific regions: west, central, and
east. These penetration rates are the ratio of IGC's additional residential new construction customers to
17
the total building permits in those regions. Forecasted additional households multiplied by the regional
market penetration rate equal the anticipated residential new construction customers.
IGC derives the regional market penetration rates by dividing the fiscal year regional residential new
construction sales total by the number of regional residential building permits compiled by the Wells
Fargo Bank Construction Report (Wells Report). The Wells Report arranges the data by city, as well as
unincorporated portions of the more populous counties in Idaho. These city/county talles are reconciled
to IGC's residential sales by IGC's company town codes for valid comparison, and are then collapsed to
the county leveL.
IGC also develops another market penetration rate by way of the county construction reports which IGC
marketing and construction personnel use in prospecting for new construction customers. Again, as
above, the residential new construction sales in the specific areas covered by these reports are divided
by the total dwellngs listed in these reports, to derive the market penetration rate. The areas covered
here are the major population centers in the IGC Service Territory: Ada/Canyon County, Twin FallsIood
River Valley, Pocatello/Soda Springs, and Idaho Falls/Rexburg. These market penetration rates are
derived month by month, and are compared and reconciled to the market penetration rates derived using
the Wells Report.
The market penetration rates used in the customer forecasting varied somewhat when going into the
future out of anticipated market share gains in the Central and Eastern regions. Those for the West
remained relatively static through the forecast period, since they are already near 100%. The same set of
market penetration rates was used in the baseline, high growth, and low growth scenarios. The table
below highlights those assumptions:
Market Penetration Rates
FY09 FY10 FY11 FY12 FY13
Western Region 99%99%99%99%99%
Central Division 97%97%97%97%97%
Eastern Reaion 87%87%87%87%87%
The chart on the following page ilustrates the relationship between the three ecnomic scenarios for the
annual residential new construction growth forecast for 2009 - 2013:
18
ANNUAL RESIDENTIAL NEW CONSTRUCTION GROWTH
14,000
12,000
10,000 ~HIGH GROWTH
~BASECASE
..LOWGROWTH.....
8,000
6,000
4,000
FY09 FY10 FY11 FY12 FY13
Conversions
The conversion market represents another source of customer growth. IGC acquires these customers
when the homeowner replaces an electric, oil, coal, wood, or other alternate fuel source furnacelwater
heater with a natural gas unit. IGC forecasts these customer additions by applying regional conversion
rates based on historical data and future expectations. During a high and low growth scenario, the rates
are adjusted to maintain reasonable expectations within the context of those alternative economic
climates.
The following table shows, by region the assumed conversion rates over the five-year period. These
rates represent the percentage of new construction additions which wil be conversions.
Regional Conversion Rates
FY09 FY10 FY11 FY12 FY13
Western Region
Base Case 5%5%5%5%5%
High Growth 5%5%5%5%5%
Low Growth 5%5%5%5%5%
Central Region
Base Case 13%13%13%13%13%
High Growth 12%12%12%12%12%
Low Growth 13%13%13%13%13%
Eastern Division
Base Case 11%11%11%11%11%
High Growth 11%11%11%11%11%
Low Growth 11%11%11%11%11%
19
The following chart ilustrates the relationship between the three economic scenarios for the annual
residential conversion growth forecast for 2009 - 2013:
ANNUAL RESIDENTIAL CONVERSION GROWTH
1,000
800
....
..HIGH GROWT
..BASECASE
..LOWGROWTH.
600
400
FY09 FY10 FY11 FY12 FY13
Small Commercial Customers
Small commercial customer. growth is forecast as a certain proportion of new construction customer
additions. The logic being that as household growth drives the major proportion of IGC's residential
customer growth, household growth therefore drives small commercial customer growth. New
households require additional new businesses to serve them. Based on recent IGC sales data, this ratio
of small commercial customer growth to new construction residential varies across the IGC system, and
thus different regional rates for small commercial customer growth are used, and are as follows:
Regional Small Commercial Customer to Residential New Construction Customer Growth Ratios
FY09 FY10 FY11 FY12 FY13
Western Region
Base Case 8%8%10%9%10%
High Growth 12%8%10%9%10%
Low Growth 8%8%10%9%10%
Central Region
Base Case 10%10%10%10%10%
High Growth 12%10%10%10%10%
Low Growth 10%10%10%10%10%
Eastern Division
Base Case 10%10%10%10%10%
High Growth 10%10%10%10%10%
Low Growth 10%10%10%10%10%
20
The following graphs show the annual additional, as well as the annual total small commercial customers
for the period 2009 - 2013:
1,600
1,400
1,200
1,000
800
600
ANNUAL ADDITIONAL SMALL COMMERCIAL CUSTOMERS
FY09 FY10 FY11 FY12 FY13
..HIGH GROWTH
~BASECASE
..LOWGROWTH
35,000
33,000
31,000
29,000
27,000
TOTAL ANNUAL SMALL COMMERCIAL CUSTOMERS
FY09 FY10 FY11 FY12 FY13
..HIGH GROWTH
~BASECASE
..LOWGROWTH
21
HEATING DEGREE DAYS AND DESIGN WEATHER
The IRP demand forecast captures the influence weather has on system loads by incorporating Heating
Degree Days (HDD's). HOD's are a measure of the coldness of the weather based on the extent to which
the daily mean temperature falls below a reference temperature base. HOD values are inverse to
temperature meaning that as temperatures decline, HOD's increase. The standard HDD base - and the
one Intermountain utilzes in this IRP - is 65°F (also called HDD65). As an example, if one assumes a
day where the mean outdoor temperature is 30°F, the resulting HDD65 would be 35 (Le. 65°F base minus
the 30°F mean temperature = 35 Heating Degree Days).
Customer Weighted Weather
Since Intermountain's service territory is composed of a diverse geographic area with differing weather
patterns and elevations, Intermountain uses weather data from seven NOAA weather stations locted
throughout the communities served by Intermountain. This weather data is "weighted" by the customers
in each of the geographic weather districts to arrive at weighted weather for both the total company as
well as previously identified Focus Zones within the Company.
Two distinct types of heating degree days are used in the development of the IRP: Normal Degree Days
and Design Degree Days.
Normal Degree-Days
A "normal" degree day is a calculation based on historical data and represents the weather that could
most reasonably be expected to occur on a given day. The normal degree day that Intermountain utilzes
in the IRP is computed based on weather data for the thirt years ended December 2006. For each day
of the year, the HDD65 for that day for each year of the thirt year period is averaged to come up with the
average HDD65 for the thirt year period for that day. This method is used for each day of the year to
arrive at normal degree days for a year.
Design Degree-Days
A "design" degree day is an estimation of the coldest temperatures that can be expected to occur for a
given day. Design degree days are useful in estimating the highest level of customer demand that may
occur, particularly during extreme cold or "peak" weather events. For IRP load forecasting purposes,
Intermountain makes use of design weather assumptions (See table below: Design Degree-Days by
Month). Aggregating the daily HOD's over months and/or seasons allows Intermountain to constrct
normal and design scenarios.
Design Weather Development1
Intermountain's design year is based on the premise that the coldest weather experienced for any month,
season or year will occur again. The basis of a design year was determined by evaluating the weather
extremes over the last thirty years of heating degree data from NOAA (see the Degree Day Tables on
page 25). The review revealed Intermountain's coldest twelve consecutive months to be the fiscal year
1985 (October 1984 through September 1985). This year, with certain modifications discussed below,
represents the base for design weather. These degree days reflect a set of temperature extremes that
have actually occurred in Intermountain's service area and would result in a maximum customer usage
response due to the high correlation between weather and customer usage.
Intermountain also engaged the services of Dr. Russell Qualls, Idaho State Climatologist, to perform a
review of the methodology used by Intermountain in calculating design weather, and to provide
suggestions that may enhance our design weather planning. One crucial area that Dr. Qualls was able to
1 30 Year Climate Report, Prepared for Intermountain Gas Company, By Russell J. Qualls, July 5, 2007
22
assist Intermountain was in developing a method to select a design weather peak day, as well as in
designing the heating degree days surrounding the peak day.
Peak Heating Degree Day Calculation
To develop the peak heating degree day, or coldest day of the design year, Dr. Qualls fitted probabilty
distributions to thirty years of daily temperature data from seven weather station locations (Caldwell,
Boise, Hailey, Twin Falls, Pocatello, Idaho Falls and Rexburg). From these distributions he calculated
monthly and annual minimum daily average temperatures for each weather location, corresponding to
different values of exceedance probability. Two probabilty distributions were fitted, a Normal Distribution,
and a Pearson Type III (P3) distribution. Dr. Qualls deemed it more appropriate for Intermountain to use
the P3 distribution as weather patterns more closely resembled a P3 distribution.
According to Dr. Qualls, "selecting design temperatures from the values generated by these probabilty
distributions is preferable over using the coldest observed daily average temperatures because
exceedance probabilties corresponding to values obtained from the probabilty distributions are known.
This enables IGC to choose a design temperature, from among a range of values, which corresponds to
an exceedance probability that IGC considers appropriate for the intended use".
Intermountain used Dr. Qualls' exceedance probabilty data to review the data associated with both the
50 and 100 year probability events. After careful consideration of the data, Intermountain determined that
the company-wide 50 year probability event, which was an 81 degree day, would be appropriate to use
for our design weather modeL. For modeling purposes, this 81 degree day was assumed to occur on
January 15th.
Design Modification
A few adjustments were made to the base design year. First, since the coldest month of the last thirt
years was December 1985 (1638 HDD's), the weather profile for December 1985 replaced the January
1985 data in the base design year; for planning purposes, the aforementioned peak day event occurs on
January 15th.
To model the days surrounding the peak event, Dr. Qualls suggested calculating a 5-day moving average
of the temperatures for the thirty year period to select the 5 coldest consecutive days for the period.
December 1990 contained this cold data. The coldest day of December 1985 (the peak month) was
replaced with the 81 degree day peak day. Then, the day prior and three days following the peak day,
were replaced with the 4 cold days from the December 1990 cold weather event.
While taking a closer look at the heating degree days used for the Load Duration Curves (LDC's), it was
noticed that the design weather HOD's in some months were lower than the normal weather HDD's. This
occurred generally in the non-winter months, April through July. However, the Total Company and Idaho
Falls Lateral design HDD's had this same occurrence in November, although the differences were
minimal (1 to 3%). This occurred because, while FY 1985 was the coldest year on record and therefore
used as the base year for the design weather, the shoulder months were, in some cases, warmer than
normaL. Manipulating the shoulder and summer month design weather to make it colder would add
degree days to the already coldest year on record, creating an unnecessary layer of added degree days.
Intermountain decided not to adjust the summer and shoulder months of the design year.
After design modifications were complete, the total design HOD curve assumed a bell-like shaped curve
with a peak at mid-January (see the Chart on page 26). This curve provides a robust projection of the
extreme temperatures that may occur in Intermountain's service territory.
Regional Lateral Degree Days
The 2006 IRP noted the unique characteristics of the Idaho Falls and Sun Valley Laterals. The
temperatures experienced in Idaho Falls or Sun Valley can be significantly different from those
experienced in Boise or Pocatello. Since filing the previous IRP, Intermountain has been working to build
23
the capabilty to uniquely forecast loads for these two distinct regions. A key driver to these lateral
specific load forecasts is regional heating degree days.
Intermountain has developed normal and design degree days for both the IFL and SVL regions. The
methods employed to calculate the normal and design degree days for each of these laterals mirror the
methods used to calculate total company normal and design degree days. Having distinct weather for IFL
and SVL allows Intermountain to better forecst peak heating loads in areas of the system that have
unique weather characteristics and wil enhance the Company's efforts to identify and mitigate potential
capacity constraints.
DESIGN DEGREE DAYS BY MONTH
HEATING DEGREE DAYS - NORM/ ACTUAL FY 85/DESIGN
65 DEGREE BASE
Weighted Actu Design - Bell
Month Normal (30 yrs)Fiscal 1985 Shaped Cure
October 444 605 606
November 826 834 833
December 1129 1350 1360
Januar 1145 1512 1711
Februar 890 1196 1188
March 707 1026 976
April 466 435 427
May 269 236 241
June 80 69 71
July 6 0 1
August 11 35 43
September 140 288 317
Total Year 6112 7586 7774
24
25
1800
1600
1400
~ 1200
C'c 1000
CD! 800C)
CDc 600
400
200
o
Degree Day Graph
- - - .30 Year Weighted Normal
-Actual FY 1985
- - Design Weather
__ø" ø" ~ ~'\ ~ ~ &~ ~ r:ø'!¥ ,.~ ~ $" ~q; - 'tq,~ ~ ~q, 'ijO(j ~.. v0 'l' 1;" ~.~o ()0 ~
).:'\ ~q. ~ø"~~ ø~
~ fX~cf
Months
26
USAGE PER CUSTOMER
This section of Intermountain's IRP discusses the calculation of therm usage per customer. These
results, when combined with the design degree days and customer forecast, are used to develop the IRP
. demand forecast.
Because of the diferent usage characteristics in the peak-load winter months (November through
February) and the non-peak months (March through October), different modeling techniques have been
used for these two distinct seasons. In the winter months, the link between the weather and customer
usage is strongest, so a daily usage per customer equation is used. During the non-peak months, an
equation is used to predict monthly usage per customer and that usage is then converted to a daily usage
formula.
The following paragraphs describe the respective methods used to calculate usage per customer per
degree day and describe the application of the resulting equations.
Customer Usage During Peak Months
Predicting Variable Selection
Usage per customer per degree-day under design weather is based upon a multiple regression equation
for each month during the peak heating season of November through February. Because the relationship
between weather and usage is so strong during the winter months, it is possible to develop a daily usage
per customer equation. The dependent variable, usage per customer, is calculated by dividing the total
residential and small commercial market sendout for each day during each of the peak months by total
residential and small commercial customers for each day during each of the peak months. Daily
customers are developed by evenly spreading the difference between the customers at the beginning of
the month and the customers at the end of the month to the days of the month. With Intermountain's
current technology, it is not possible to split the daily sendout into its component residential and small
commercial pieces, so the dependant variable is a core market usage per customer.
The first step in developing the regression equations was to determine the appropriate time period to
include in the study. Studies by the American Gas Association show that the average U.S. home using
natural gas service is using one third less natural gas today than it did three decades ago. Following the
national effciency trend, we have also noticed a decline in usage per customer in our service territory.
Some possible reasons for the decline in usage per customer include the Idaho Residential Energy Code
which was adopted by many cities beginning in 1991. This new building standard was designed to
improve the energy effciency of new homes and buildings. About the same time, effciency standards for
furnaces and water heaters were improved. Additionally, programmable thermostats are now installed
routinely in new construction, and many people have installed them in older homes as a way to reduce
their energy expense (see The Effcient & Direct Use of Natural Gas, page 58).
All of these conservation influences began impacting usage in the early 1990's. Since roughly half of
Intermountain's customers are new since 1990, the effciency factors and building codes have had a
tremendous influence on our customer base. Rising energy prices have also heightened the customer's
interest in conservation. The higher energy prices recently experienced have created an economic
incentive for people to use natural gas as effciently as possible, creating downward pressure on our
usage per customer, and contributing to the structural changes we have seen in the data.
Unfortunately, these structural shifts in the data are difficult to modeL. Finding appropriate variables to
effectively model these changing usage patterns was problematic. The approach used to deal with this
problem was to use a sixteen year time horizon upon which to calculate the usage per customer
27
regression equations. We believe the usage per customer refleced in this time period will be more
indicative of the usage per customer we wil likely see in the future. The models seem to substantiate
this approach, since the models created using the 1989/90 through 2006/07 data provided a much better
statistical fit than models that were based on the inclusion of older data.
The following independent variables were tested in trying to explain changes in usage per customer:
1. Actual 65HDD and 45HDD for each day during the peak months
2. Intermountain Gas natural gas prices
3. Consumer Price Index
4. Bank. Prime Loan Rate
5. 30-Year Conventional Mortgage Rate
6. Gross Domestic Product
7. Idaho Per Capita Personal Income
8. A weekend binary variable to establish whether or not a relationship exists between usage levels
and the weekend.
Methodology and Results
A regression equation was developed for each of the peak months. The independent variables included
in the model to explain changes in daily usage per customer are, daily actual 65HDD and the weekend
binary (see "Regression Equations," Exhibit 2, Appendix B). The weekend binary variable was not
significant in the February model, so the 65HDD variable is the only variable remaining in the February
modeL. The models for November, December and January all include both the 65HDD variable and the
weekend binary variable.
Each of the selected models meets accepted standards for statistical soundness. The models all have
high R2 statistics which determine what percent of the variabilty in usage per customer is explained by
the independent variables. T -statistics for each of the variables indicate they are individually signifcant
(p~0.05). The models have all been corrected where necessary to ensure the Durbin-Watson statistic
falls within an accepted range, and the F-statistics indicate that the regression models are significant (See
"Regression Statistical Output," Exhibit 2, Appendix B).
After the regression equations were developed, design degree-days were used in the models in place of
actual 65HDD to calculate the daily usage per customer during the peak months.
Customer Usage During Non-Peak Months
Predicting Variable Selection
Modeling usage per customer for the non-peak months begins with a slightly different data set than the
peak usage month models. The dramatically different usage patterns of the various classes of customers
during the non-peak months as well as a weaker link between weather and usage led Intermountain to
develop unique models for residential space heating customers, residential space and water heating
customers and small commercial customers. Since daily usage data is not available by customer class,
Intermountain developed monthly usage per customer models. Daily usage per customer per degree day
is then calculated from these models. Intermountain constructed a dataset for each of the three customer
classes. The dependent variable was once again usage per customer.
For the reasons outlined in the discussion of "Customer Usage During Peak Months" above,
Intermountain once again selected a time series beginning in the early 1990s and ending with the winter
of 2006/2007. This shortened time series more accurately reflects Intermountain's customer base, and
28
hence the way customers can reasonably be expect to behave in the forecast period. Again, the models
based upon this time series provided a much better statistical fit than models incorporating older data.
The following independent variables were tested in trying to explain changes in usage per customer:
1 . Actual 65HDD and 45HDD for each day during the peak months
2. Intermountain Gas natural gas prices
3. Summer/winter seasonal natural gas prices
4. 2 and 3-year moving average natural gas price
5. Oct - Mar trend binary
6. Consumer Price Index
7. Bank Prime Loan Rate
8. 30- Year Conventional Mortgage Rate
9. Gross Domestic Product
10. Idaho Per Capita Personal Income
Methodology and Results
A regression equation was developed for each of the three customer classes. The independent
variables that remained in the models as being statistically significant in explaining changes in daily
usage per customer include, actual 65HDD, summer/winter seasonal natural gas prices (RS-1), natural
gas price (RS-2), and Oct - Mar trend binary (GS) (see "Regression Equations," Exhibit 2, Appendix B).
Each of the selected models meets accepted standards for statistical soundness. The models all have
high R2 statistics which determine what percent of the variability in usage per customer is explained by
the independent variables. T -statistics for each of the variables indicate they are individually signifcant
(p::0.05). The models have all been corrected where necessary to ensure the Durbin-Watson statistic
falls within an accepted range, and the F-statistics indicate that the regression models are significant (See
"Regression Statistical Output," Exhibit 2, Appendix A).
Since the models calculated monthly usage, the constant and price variables were divided evenly by the
days of the month to arrive at daily usage. Then, the heating degree day coeffcient was multiplied by
design heating degree days for each day of the month. These components were added together to arrive
at daily usage for each day of the month.
Price Elasticity
With the volatile natural gas market we have seen in recent years, much interest has been generated in
quantifying price elasticity of demand for natural gas. The price elasticity of demand is defined as the
percent change in demand for each 1 % change in price. This interest led the American Gas Association
to commission a study on the price elasticity of natural gas. Intermountain was a. participant in the study
which was release in April 2007 (see "AGAllntermountain Gas Company Price Elasticity Study", Exhibit 2,
Appendix C). This AGA study found that price elasticity has had an impact on natural gas consumption
nationwide, and that the impact varies across the regions of the country. The nationwide study reports
that an assumed 10% price increase would result in a 2.8% decline in natural gas consumption. Of the
decline, 1.8% would be due to price elasticity, while 1.0% would be due to a long-run declining usage
trend. Intermountain's price elasticity response of a 1.6% decline in usage for a 10% price increase was
slightly lower than the nationwide price elasticity response.
In conference calls related to this study, the authors made it clear that these results were for annual
usage and no attempt was made to include a price elasticity response for peak day analysis.
Intermountain also tested for the effect of price elasticity in both the non-peak and peak models. In the
non-peak models, price remained a significant variable in both the RS-1 and RS-2 equations. The RS-1
customers had a stronger response to price during the winter months than they did during the summer
months, resulting in unique coefficients for the summer and winter price period. RS-1 customers use
natural gas for space heat only, so this makes sense given the seasonal nature of their usage. RS-2
customers, on the other hand, had the same response to price throughout the year. RS-2 customers use
29
natural gas for space and water heating, and thus have a more constant usage throughout the year which
would explain the similar price response for the entire year. The RS-1 price elasticity was a 2.0% decline
in usage given a 10% price increase, while the RS-2 price elasticity was a 1.6% decline in usage given a
10% price increase. Again, it follows that the price response should be stronger for RS-1 customers
since they are using the gas for space heat only, while the RS-2 customer has less opportunity to
respond to price since they use natural gas for both space and water heat.
Price did not remain in the GS models as a signifcant explanatory variable. However, in reviewing the
statistics of the model, it appeared that perhaps something was influencing usage that was not being
captured by the weather variable alone. The GS customer class is very diverse, ranging from small offce
buildings all the way up to small food processors. The statistical "noise" created by this diversity may
have made it diffcult to isolate the true response to price. Instead, a trend variable was tested that
showed a declining usage trend during the months of Oct - Mar. The inclusion of the trend variable was
beneficial to the statistics of the overall GS modeL. The trend variable captures effciency factors as well
as a price response.
Testing for price elasticity in the peak month models presented a greater challenge. As previously noted,
Intermountain does not currently have the capabilty to measure daily usage by customer class. Because
of this, the daily usage equations in the winter months are derived from aggregate RS-1, RS-2 and GS
daily usage data. This presented a challenge in constructing the price variable. A customer weighted
price variable was finally used. The peak models that included a price coeffcient produced por results.
The price variables were either not significant or barely significant at the p::0.05 leveL. In addition, the
models including a price coeffcient forecast a higher usage per customer than the equations that did not
include price. Since this seemed counterintuitive, the models that did not include a price term seemed
the better choice. Intermountain wil continue to test the effects of price elasticity on usage per customer
and adjust for that impact where appropriate.
Total Daily Usage
The total usage for each day was calculated by multiplying the usage per customer in both the peak and
non-peak periods by the appropriate customers for that day (see Customer Forecast, page 8). Total daily
usage varied depending upon the customer growth assumption that was used (Le. Low Growth, Base
Case, or High Growth).
Usage Per Customer By Geographic Area
In a service territory that is as geographically and economically diverse as Intermountain Gas Company's,
we recognize that there could be significant differences in the way that customers use natural gas based
upon their location. In an attempt to quantify some of these differences, Intermountain has installed
additional meters on targeted areas of its system that measure natural gas throughput in addition to the
existing pressure measurement. We have now collected four years of usage data on the SVL and two
years of usage data on the IFL. Unfortunately, the relatively small amount of data collected to date did
not allow us to make any statistically significant correlations between consumption and heating degree
days specific to the laterals for this IRP.
Intermountain next tested a simple average method for calculating usage per customer per degree day on
both laterals. The usage per customer calculated for the IFL was similar to the total company usage per
customer calculated in a similar manner. Usage per customer on the SVL was roughly three therms per
customer higher than the total company, however. To accunt for this difference, the peak day period
was adjusted upward by three therms for the Sun Valley LateraL.
It is believed that through the collection of additional data Intermountain wil be able to refine the usage
forecasts for these laterals. As a database of usage and weather data is built for these specific areas of
the service territory, we should be able to make statistical correlations and forecasts based upon their
own unique usage patterns in the future.
30
INDUSTRIAL FORECAST
Customer Survey
A survey of the industrial customers served by Intermountain was completed in the Spring of 2007 to help
forecast each customer's future natural gas requirements. The survey included a cover letter explaining
the intent of the requested information with the assurance that all responses would remain confidentiaL.
The survey form was sent to the management of each of Intermountain's large volume contract
customers, and identified their historical usage on an annual peak month and peak day basis for the past
two years ending 2006. This information helped provide a basis for each customer to determine their
future natural gas requirements. Additional information was requested as to each customer's alternative
fuel capabilities and if there was a desire for additional service options from Intermountain.
The results of this survey were used to forecast three distinct and separate large volume customer
forecasts (High Growth, Base Case, and Low Growth) for a six year period, commencing in 2008. The
projections incorporate information from the customer's management, engineers, and marketing
personnel regarding plant expansion or modification, equipment replacement, and anticipated product
demand. Other forecast data was then utilzed to adjust the survey data base for two of the three
forecasts (Base Case and Low Growth). The 110 customers were further refined into six separate sub-
groupings comprised of:
. 16 potato processors
. 37 other food processors including sugar, milk, beef, and seed companies
· 3 chemical and fertilizer companies
. 18 light manufacturing companies including electronics, paper, and asphalt companies
· 27 schools and hospitals
· 9 other companies
Efficient Use
Plant effciency and getting the most production out of their plants using the least amount of energy is
foremost on the minds of the owners, operators, and managers of these large volume plants. In order to
help them with their natural gas needs and evaluation, Intermountain has developed and deployed an
industrial customer website with specific and timely usage reads. The information on this site is gathered
through the company's SCADA system, and is transferred to the web-based site, which can be accessed
by the appropriate plant personnel from their own location over the internet. This "real-time" information
has helped many of the plants with their energy conservation and effciency needs.
Additionally, Intermountain has offered to consult and help direct leak detection and corrosion control
efforts on the natural gas piping systems within the customers' facilties.
All current customers were assumed to remain on their current tariff, while any new customers if less than
500,000 therms) were classified as an LV-1 Customer and those over 500,000 annual therms were
classified as a T-4 customer.
31
Base Case Forecast
The Base Case was compiled using the customer surveys with adjustments made to reflect known
changes of existing customers. The projected usage for the Base Case increased from 221.3 millon
therms to 225.4 milion, a 0.5% compound rate of growth over the five-year period.
Base Case Forect by Market Segment
(Thousands of Therms)
Compound
Rate of
FY09 FY10 FY11 FY12 FY13 Growth
Potato Processors 82,901 84,578 85,278 85,403 85,539 0.8%
Other Food
Processors 56,026 56,146 56,161 56,174 56,184 0.1%
Chemical & Fertilzer 27.600 27,600 27,600 27,600 27.600 0.0%
Manufacturers 24,101 24225 24,323 24,357 24,400 0.3%
Instiutions 14,117 14252 14,668 14,882 14,946 1.4%
Other 16,505 16,639 16,763 16,612 16,771 0.4%
Total Base Case
Forecast Therm
Sales 221,250 223440 224,793 225,028 225,440 0.5%
A. The Potato Processors group is projected to experience modest growth over the five year period.
Demand for potato products is coming back, but the cost of production is steadily rising. No new
plants are on the drawing boards in the near future. Most of the plants in this group are looking
for ways to conserve resources while stil getting the most out of production.
B. The Other Food Processors group is projected to increase approximately 0.1 %, with modest
production increases in several of the plants. The malting plants are at nearly-full production
capacity.
C. The three plants in the Chemicals/Fertilzers group wil continue at current levels with no
projected growth and production increases in the forecast. In their forecasts, the managers of
these plants assume imported fertilzers wil not, at least in the foreseeable future, affect their
operations.
D. The Manufacturing group is projected to remain relatively flat with less than 0.3% growth over the
period.
E. The Institutional group is projected to grow at 1.4% a year, due mainly to growth of the existing
facilities. Medical facilities as well as private and state schools are planning expansions.
F. The increase in the other group is projected to increase 0.4% over the period due primarily to
some moderate expansions at some of the facilties in this group.
32
High Growth Forecast
The High Growth - or most optimistic - forecast figures incorporate usage data directly from the survey
with minor adjustments. The increase from the 2009 annual usage of 235.3 milion therms is projected to
increase by 4.3 milion therms which equates to 0.5% compound rate of growth. The following table
summarizes the changes over this period:
High Growth Forecast by Market Segment
(Thousand of Therms
Compound
Rate of
FY09 FY10 FY11 FY12 FY13 Growth
Potato Processors 87,726 89403 90,103 90,228 90,364 0.7%
Other Food
Processors 57,431 57,613 57,628 57,641 57,651 1.0%
Chemical & Fertilizer 27,600 27,600 27,600 27,600 27,600 0.0%
Manufacturers 24,176 24,225 24,323 24,357 24,400 0.2%
Institutions 14,162 14,005 14,726 14,950 15,001 1.4%
Other 24,236 24,470 24,614 24,463 24,652 0.4%
Total High Demand
Forecast Therm
Sales 235,331 237,316 238,994 239,239 239,668 0.5%
A. Potato production and consumption is down from previous projections, but the future looks very
good for the potato industry, and most firms are projecting slow but steady growth over the next
few years. The past years of drought have affected the industry a great deal, and all are hoping
to return to better crop years. The increase in natural gas prices in 2005 had pushed those who
could to burn more heavy oiL. However, oil prices have risen over the past year. These
projections assume natural gas prices will remain relatively moderate and more competitive. One
additional processor is in the projection starting in 2009.
B. Other Food Processors are projected to increase approximately 0.8% over the period. Only one
additional cheese producer is in the projection starting in 2009, but other companies are looking
at locating in Idaho. Those plants dealing with cattle are optimistic for steady increases in output.
C. The Chemical/Fertilzer group is not projected to increase in size; however, all three plants in this
group project steady production and usage.
D. The Manufacturing group is projected to remain steady. The big user in this group is a high tech
memory firm; therefore, if their production or sales should turn around, this projection could be
low.
E. The Institutional group, which is made up mostly of schools and hospitals, is projected by the
survey to increase over 6% during the five year period with growth of existing facilties and the
addition of at least one more institution by 2009. Both Saint Alphonsus Regional Medical Center
and St. Luke's Regional Medical Center in Boise, and BYU of Idaho in Rexburg are growing
substantially at their locations.
F. The Other group is expected to remain relatively flat in the high demand case.
33
Low Growth Forecast
The projected usage for the Low Growth scenario is based upon the assumption that the agricultural
economy wil weaken and experience a material decline in sales and production. It is also assumed that
natural gas prices wil remain moderate and reasonably competitive. Under those assumptions,
downturns are projected in Potato Processing - including a possible closure of one plant and production
downturns at others - leading to an overall decline of 18.8 milion therms. Total industrial usage declines
are projected to be 18.2 milion therms or a 2.2% compounded rate of decline over the five-year, as
shown below.
Low Growh Forect by Market Segment
(Thousand of Therms)
Compound
Rate of
FY09 FY10 FY11 FY12 FY13 Growth
Potato Processors 82,701 82,828 63,615 63740 63,876 -6.3%
Other Food
Processors 56,026 55,946 55,961 55,974 55,984 0.0%
Chemical &
Fertilizer 24,220 24,220 24,220 24,220 24,220 0.0%
Manufacturers 24,101 24,225 24,323 24,357 24,400 0.3%
Institutions 13,955 13,798 13,896 14.110 14,179 0.4%
Other 10,774 10,798 10,922 10,771 10,930 0.4%
Total Low Growth
Forecast Therm
Sales 211,777 211,815 192,937 193,172 193,589 -2.2%
A. This group, as a whole, looks at any way possible to conserve energy and make its plants more
effcient. This scenario assumes the price of natural gas to remain competitive against the
delivered price of oil and potato consumption is assumed to remain at current levels. However,
the assumed shutdown of a major processing plant has resulted in a decline in gas usage of
6.3% for the potato processing group.
B. In the Other Food Processor group, the dairy market is expected to remain steady, even in this
low growth forecast. No new plants are in these projections, but the existing facilties remain at
current levels. Usage in the sugar industry will remain flat.
C. The projection for the Chemical/Fertilzer group remains flat with no increase or decrease in
usage or production.
D. The Manufacturing group is also projected to remain relatively flat, assuming that no additional
"High Tech" production occurs and no unforeseen state or federal highway projects begin.
E. The compounded growth projection of 0.4% for the Institutional low growth forecast is attributed
to the known expansion of universities, schools, and hospitals.
F. Facilities in the Other group are also projected to increase by a compounded rate of 0.4% due to
a projection of increased usage at Mountain Home Air Force Base. This projection assumes,
however, that power generation remains flat.
34
Firm Contract Demand
The survey sent to the industrial customers requested information regarding both the customer's future
peak requirements and its forecasted annual usage. Some of the largest customers predict that while the
peak day may not increase, the off-peak day requirements could, due in part to their use of varying work
schedules. Intermountain determines each customer's CD based on the survey and historical usage.
The aggregate CD's are included with the Core Market throughput to help assess potential capacity
deficits on existing laterals or on the interstate system where applicable. Due to several companies going
out of business, and others doing as much as possible in energy conservation, total firm daily demand
requirements have dropped by more than 15,000 therms since the last IRP filing. The current peak day
firm (CD) requirements for the large volume contract customers are as follows:
Class of Service
Total Firm Daily
Demand Requirements
(Therms)
Large Volume Firm Sales Services (LV-1)12,850
Firm Transportation Services 851.420
Total 864,270
Although Intermountain forecasts the industrial customers' load shape, the optimization model demand
inputs utilze only the customers' CD's. This is done based on the assumptions that these customers'
contracts indicate that on any given day, they may consume a quantity of firm natural gas up to the CD.
Therefore, even though a forecast based upon load shape may indicate an excess of capacity on any day
or during any period, Intermountain must stand ready to provide up to the CD level of capacity should the
customer need that amount on any given day. Alternatively, should Intermountain find that capacity is
tight or constrained on a given day or period, the industrials can be notified that consumption may not
exceed the CD for that day or period. Therefore, it makes more sense, from a modeling perspective, to
use the customer CD to reflect the industrial capacity requirement that Intermountain is contractually
committed to provide rather than a load profile that could be greater or less than the CD.
35
SURVEY COVER LETTER SAMPLE
March 12, 2007
Customer
Address
Town,ID Zip
Dear:
In order to meet your future natural gas needs, we are requesting a projection of your future incremental
requirements on an annual, monthly, and peak day basis. To assist in your projection, we have included
historical usage information for the prior two calendar years (beginning January 2005) on the enclosed
survey form.
The increase in natural gas usage that has taken place in southern Idaho over the past five years as a
result of the growth in the residential and commercial sectors of our business as well as the expanding
industrial requirements in southern Idaho has demanded additional emphasis on forecasting our
customers' future needs. An Order from the Idaho Public Utilities Commission also requires
Intermountain Gas Company to document its forecsting efforts as an added assurance that we are
meeting our customers' needs in a prudent manner.
We want to re-emphasize our commitment to continue reliable services to you as a valued customer of
Intermountain Gas Company.
We appreciate your busy schedule and the effort required to complete this survey. However, it is only
with your assistance that we wil be able to accurately plan for the future and continue to provide you with
the highest quality service. Please return your completed survey, including any comments you may have
by March 26, 2007. After evaluating the responses, i wil contact you concerning our plans for the future.
Should you have any questions, or if i can be of assistance to you, please call me at (208) 377-6053.
Very truly yours,
J. Brent Wilde
Intermountain Gas Company
Director - Marketing & Industrial Services
JBW/blf
Enclosures
36
SURVEY FORM SAMPLE
Intermountain Gas Company - Industral Survey
#
Accunt
HISTORICAL INFORMATION
In Thenns
12 Months Ending December 2006
12 Months Ending December 2005
Annual Usage Peak Day UsageI I Date of Peak Day
Ar the usage figures slatEl above low than they otherwse might be bElUSe 01 the use of an altemative enery sourc? 0 yes 0 No
II Yes, what percent was your natural gas usage lowered by using an afiemative enery? Anual Usage
Pek Day Usage
REQUESTED INFORMATION - PROJECTED USAGE
Description
Annual Usage
Peak Day Usage
2007 2008 2009 2010 2011 2012 2013
What is the prime reason lor the projected change in usage?
What is your existing alternative source of energy? 0 None 0 Coal 0 Oil 0 Other (specify)
Wha percent of your CUlTent peak day enery nee, servEl by natural gas, can be sered by existing a1ternive fuEl?
Are you contemplating the deveopment and use of an afiernative energy source, what is yor prelerence? 0 Noe 0 Coal 0 Oil 0 Other (specif)
What additional options would you consider or suggest to enhance tli servce prvidEl by Intermounlain Gas Company?
THE INFORMATION PROVIDED ON THIS FORM WILL REMAIN CONFIDENTIAL WITH INTERMOUNTAIN GAS COMPANY
37
LOAD DURATION CURVES
The culmination of the demand forecasting process is aggregating the information discussed in the
previous sections into a forecast of future load requirements. A brief review of the methodology follows.
The IRP customer forecast provides a total company daily projection through FY13 and includes a
forecast for each of the three focus zones of the Company's distribution system - the Idaho Falls and Sun
Valley Laterals and the Canyon County Area - where capacity could potentially be constrained. Each
forecast was developed under each of three different customer growth scenarios - Base Case, High
Growth and Low Growth, as well as three different pricing scenarios - Base Price, Low Price, and High
Price.
The development of a design weather curve - which reflects the coldest historical weather patterns across
the service area - provides a means to distribute the core market heat sensitive portion of the Company's
load on a daily basis. Applying Design Weather to the residential and small commercial usage per
customer forecast creates core market usage-per-cstomer under design weather conditions. That
combined with the applicable customer forecst yields a daily core market load projection through FY13
for company total as well as for each regional segment. A similar normal weather scenario is also
available, but is not included in the IRP filing.
As discussed in the Industrial Forecast section, the forecast also incorporates the industrial CD from both
a company-wide perspective (interstate capacity) and the regional segments (distribution capacity). When
added to the core market figures, the result is a grand total daily forecast for both gas supply and capacity
requirements including a break-out by regional segment.
Price Elasticity was added to the load duration curves for the 2008 IRP filing. For each growth scenario,
there are 3 pricing scenarios. For example, a Design weather, high growth scenario wil have a base, low
and high price scenario. This enables us to see the resultant usage when prices change.
Peak day sendout under each of these customer growth scenarios was measured against the currently
available capacity to project the magnitude, frequency and timing of potential delivery deficits, both from a
total company perspective and a regional perspective.
Once the demand forecasts were finished and evaluation complete, the data was arranged in a fashion
more conducive to IRP modeling. Specifcally, the daily demand data for each individual forecast was
sorted from high-to-Iow to create what is known as a Load Duration Curve (LDC). The LDC incorporates
all the previously discussed factors that impact Intermountain's future loads and therefore is the basic tool
used to reflect demand in the IRP Optimization Model (see page 67).
It is important to note that the Load Duration Curves incorporates existing resources and are intended to
identify potential capacity constraints and to assist in the long term resource planning process.
Design FY 09 - FY 13 Customer Growth Summary Observations
Idaho Falls Lateral
The Low Growth customer forecast projects an increase in customers of 8,997 through FY13 (Oct 1, 2008
to Sep 30, 2013) which corresponds to an annualized average growth rate of 2.37%. Base Case
customers increase by 10,367 customers (2.43%) and High Growth customers increase by 15,375
customers (2.6%). When comparing the FY09 Base Case customer starting point (Oct. 1) of the 2007
LDC to the current LDC, there is a decrease of 2,628 Base Case customers (5.4%).
Sun Valley Lateral
38
The Low Growth customer forecast (FY09 - FY13) projects an increase of 856 customers (2.16%
annualized growth rate), Base Case customer forecast increases by 1 ,227 customers (2.23% annualized
growth rate), and High Growth customer forecast shows an increase of 1,781 customers (2.33%
annualized growth rate).
Canyon County Area
The Low Case customer Forecast for Canyon County (CC) reflects an increase of 7,088 customers during
this IRP period (FY09 - FY13), which is an annualized growth rate of 2.32%. The Base Case customer
forecast for CC increases by 10,083 customers (2.46% annualized growth rate) over the 5-year period.
The High Growth customer forecast shows an increase of 11,793 customers (2.53% annualized growth
rate)
Total Company
The Low Growth customer forecast (2009 - FY13) projects an increase of 31,636 customers (2.21 %
annualized growth rate), the Base Case customer forecast increases by 46,920 customers (2.32%
annualized growth rate), and the High Growth customer forecast shows an increase of 65,432 customers
(2.44% annualized growth rate).
Using the LDC analyses, Intermountain wil be able to anticipate changes in future demand requirements
and plan for the use of existing resources and the timely acquisition of additional resources.
Price Elasticity Combined with Growth Scenario Comparisons
Having price elasticity in our load duration curves provides us with the opportunity to combine the
different pricing scenarios with the different growth scenarios to show us a 'highest usage case' and a
'lowest usage case'. For example, the highest customer usage would occur when combining the 'high'
customer growth case with the 'low' price scenario. The lowest customer usage would occur when
combining the 'low' customer growth case with the 'high' pricing scenario. The following tables show
these combined customer growth and pricing scenarios, as well as the 'base' growth and 'base' price
scenarios for comparison. These scenarios were run using both 'Design' and 'Normal' weather for the
Idaho Falls and Sun Valley Laterals, the Canyon County Area, and the Total Company scenario.
Idaho Falls
Idaho Falls Lateral Design Weather- Total Annual Usage (MMBtu)
Growth Scenario Price Scenario 2009 2010 2011 2012 2013
Low High 7,085,097 7,331,981 7,570,139 7,881,951 8,085,280
Base Base 7,119,769 7,421,165 7,699,956 8,001,143 8,217,663
High Low 7,295,652 7,712,345 8,117,504 8,611,387 8,983,358
Idaho Falls Lateral Normal Weather- Total Annual Usage (MMBtu)
Growth Scenario Price Scenario 2009 2010 2011 2012 2013
Low High 6,300,942 6,519,927 6,731,520 7,006,560 7,188,180
Base Base 6,334,990 6,603,534 6,851,949 7,118,108 7,311,391
High Low 6,505,715 6,876,207 7,236,362 7,673,068 8,004,250
39
Sun Valley
Sun Valley Lateral Design Weather. Total Annual Usage (MMBtu)
Growth Scenario Price Scenario 2009 2010 2011 2012 2013
Low High 1,734,955 1,767,873 1,790,030 1,819,407 1,835,172
Base Base 1,742,763 1,775,694 1,818,533 1,864,722 1,892,137
Hiah Low 1,780,164 1,835,483 1,890,343 1,955,784 2,000,093
Sun Valley Lateral Normal Weather. Total Annual Usage (MMBtu)
Growth Scenario Price Scenario 2009 2010 2011 2012 2013
Low High 1,491,552 1,515,212 1,533,340 1,558,487 1,571,478
Base Base 1,503,507 1,522,256 1,558,940 1,598,601 1,621,60
Hiah Low 1,529,96 1,577,169 1,623,943 1,679,934 1,717,265
Canyon County
Canyon County Area Design Weather. Total Annual Usage (MMBtu)
Growth Scenario Price Scenario 2009 2010 2011 2012 2013
Low High 5,275,496 5,461,085 5,615,801 5,815,785 5,929,579
Base Base 5,312,324 5,558,138 5,798,609 6,070,006 6,276,153
Hiah Low 5,44,454 5,721,262 5,995,546 6,318,624 6,566,631
Canyon County Area Normal Weather. Total Annual Usage (MMBtu)
Growth Scenario Price Scenario 2009 2010 2011 2012 2013
Low High 4,522,305 4,680,537 4,813,039 4,984,838 5,080,075
Base Base 4,557,596 4,768,788 4,975,427 5,209,168 5,383,665
Hiah Low 4,688,616 4,925,455 5,160,509 5,438,049 5,647,933
Total Company
Total Company Design Weather. Total Annual Usage (MMBtu)
Growth Scenario Price Scenario 2009 2010 2011 2012 2013
Low High 38,326,156 39,141,548 39,919,105 40,925,882 41,484,349
Base Base 38,594,010 39,796,233 40,993,897 42,351,555 43,301,840
Hiah Low 39,557,624 41,170,519 42,805,975 44,743,655 46,117,394
40
Total Company Normal Weather- Total Annual Usage (MMBtu)
Growth Scenario Price Scenario 2009 2010 2011 2012 2013
Low High 32,605,457 33,479,591 33,954,638 34,872,452 35,274,323
Base Base 32,858,629 33,883,667 34,904,233 36,124,969 36,857,889
High Low 33,795,805 35,162,853 36,549,449 38,262,281 39,346,050
Projected Capacity Deficits - All Scenarios
Residential, commercial and industrial peak day load growth on Intermountain's system is forecast over
the five-year period to grow at an average annual rate of 2.1% (low growth), 3% (base case) and 4.1%
(high growth). This section outlnes capacity deficits that would occur absent any corrective action by the
Company.
Idaho Falls Lateral LDC Study
When forecast peak day sendout from the IFL Design Base Case is compared against the existing peak
day lateral capacity total of 1,000,000 therms - which includes the Satellte LNG peak withdrawal
capabilty - no peak day delivery deficit occurs in any year under any customer growth scenario.
Sun Valley Lateral LDC Study
When forecasted peak day send out on the Sun Valley Lateral is matched against the existing peak day
distribution capacity of 180,000 therms (before any new capacity enhancements), a peak day delivery
deficit occurs starting in 2009 for design weather scenarios and increases at the levels shown on the
following table. Because the deficits are small relatively small through 2010, the Company determined
that it could forestall the investment in a new compressor station until 2011. In the event the small deficits
do occur in '09 and '10, the Company believes that rebuilding the gate station feeding this lateral before
2009 as well the ability to rely on linepack for deficits of very short durations can support the SVL
pressures until 2011.
SVL - Design Weather Peak Day Deficit Under Existing Resources (MMBtu)
ScenariolY ear 2009 2010 2011 2012 2013
Low Growth (59)(357)(646)(857)(1,118)
Base Growth (69)(384)(838)(1,219)(1,586)
High Growth (172)(711 )(1,253)(1,824)(2,355)
41
Canyon County LDC Study
When forecasted peak day send out for the Canyon County region is matched against the existing peak
day distribution capacity (690,000 therms), a peak day delivery deficit occurs starting in 2012 (High
Growth and Base Case). These deficits then increase at the levels shown on the following table:
CCA - Design Weather Peak Day Deficit Under Existing Resources (MMBtu)
ScenariolY ear 2009 2010 2011 2012 2013
Low Growth
Base Growth
High Growth
o
o
o
o
o
o
o
o
o
o
(362)
(1,431 )
o
(2,711)
(4,158)
All Other LDC Study
No deficits are projected to occur in any of the locations making up the "All Othet' group on
Intermountain's system over the five-year study.
Total Company LDC Study
The Total Company perspective differs from the laterals in that it reflects the amount of gas that can be
delivered to Intermountain via the various resources on the interstate system. Hence, total system
deliveries should provide at least the net sum demand - or a summation of the available distribution
capacity from all nodes where applicable - of all the laterals/areas on the distribution system. The
following table shows that there are no annual peak day deficits based on existing resources:
Total Company - Design Weather Peak Day Surplus/(Deficit) Under Existing Resources (MMBtu)
ScenariolY ear 2009 2010 2011 2012 2013
84,313 75,608 67,602
75,824 63,926 52,016
66,322 48,829 32,819
Low Growth
Base Growth
High Growth
91,005
90,126
88,784
90,960
86,727
81,332
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TRADITIONAL SUPPLY-SIDE RESOURCES
Overview
Traditional Supply-side resources generally include the natural gas and related infrastructure resources
necessary to deliver energy to the Local Distribution Company (LDC). Specifically included in this
definition is the natural gas commodity (Le. the natural gas molecule), interstate gas pipeline capacity and
various types of storage facilities.
In today's energy environment, Intermountain bears the responsibility to structure and manage a supply-
side portolio that wil effciently meet its customers' year-round energy needs. This section will outline and
discuss the various resources available to Intermountain and address strategies for employing them.
Background/Historical Perspective
The procurement and distribution of natural gas is in concept a straightforward process. It simply follows
the movement of gas from its original geological source through processing, gathering and pipéline
systems to end-use facilities where the gas is ultimately ignited and converted into thermal energy.
Intermountain physically receives all gas supply to its distribution system via "citygate" taps with Wiliams
Northwest Pipeline (Northwest or NWP), the only interstate pipeline with interconnects to Intermountain's
system. Northwest's facilties essentially run north from the Four Corners area to western Wyoming,
across Southern Idaho to Western Washington, and then up the 1-5 corridor where it interconnects with
Spectra Energy, a Canadian pipeline in British Columbia, near Sumas, Washington (See Exhibit 7,
Appendix A).
Along its path, NWP also interconnects with Gas Transmission Northwest (GTN) near Stanfield, Oregon
as well as several other interstate and gathering systems in Wyoming, Utah, Colorado and New Mexico.
From those interconnects, Northwest receives gas supplies from the gas producing regions in British
Columbia, Alberta and the Rocky Mountain region of the Western U.S. for delivery to utiities and other
end-use customers located both on and off its system.
While the natural gas marketplace has seen material changes over the past two decades, Intermountain's
commitment to providing secure, reliable and price-competitive firm natural gas delivery to its customers
has not changed. Intermountain wil, through its long-term planning, continue to identify, evaluate and
employ best-practice strategies as it builds a portolio that wil provide the value of service that its
customers expect. The following paragraphs will identif and discuss each of the available supply and
delivery resources and describe how each may be employed in a portolio approach to gas delivery
management.
Gas Supply
General
Natural gas is a naturally occurring mixture of combustible gases found in geologic formations beneath
the surface of the earth. Natural gas is principally methane and is produced or extracted by driling into
porous formations of various types. Intermountain receivés about 50% of its natural gas from sources in
the Rocky Mountain region with the remainder coming from the Canadian provinces of British Columbia
and Alberta. Intermountain's access to the various producing basins is dependent upon its firm capacity
arrangements with the various interstate pipelines in the region.
The last decade has seen growing demand for natural gas, maturing supply basins and increasing
challenges in replacing reserves. Consequently, a "tight" gas supply market evolved which has resulted
to a period of higher prices. In response to higher prices, the E&P industry has increased investment in
efforts to find, dril and deliver new supplies. Over time, these activities should lead to increased
43
production that may mitigate otherwise continued price increases but even so, natural gas consumers
should not expect to see prices levels experienced earlier in this decade.
Interstate pipeline capacity constraints have also caused disproportionate regional pricing as supplies
constrained to a region with lower demand and prices, cannot access higher priced market. This
generally leads to the producing market seeking new pipeline capacity enhancements to the interstate
pipeline grid. As more capacity is built, a more integrated, effcient delivery system emerges easing the
regional price variation which, generally speaking, results in higher prices for some and lower prices for
others. This is essentially the world that the Pacific Northwest has experienced since the late '80's as
constrained capacity resulted in lower gas prices for the region. However, as new pipeline capacity - or
expansion of existing infrastructure - continues to increase delivery capability out the Western Canada
and the Rockies, these producers have more access to higher priced markets in the Midwest and in
California. Consequently, once captive gas supplies now have greater access to higher priced markets.
Consequently, Intermountain is in a mega-regional marketplace where market conditions across the
continent can and often do affect regional supply availabilty and pricing dynamics. While gas supplies are
stil readily available, Intermountain must now compete with higher priced markets to obtain those
supplies erasing much of the historic price discount.
However, Intermountain is well positioned in a region with a diverse and stable supply base including two
large and prolifc natural gas producing basins: the Western Canadian Sedimentary Basin (WCSB) in
Alberta and British Columbia and the Rocky Mountain region (Rockies) of Colorado, Utah and Wyoming.
One recent report indicated that these two major producing regions contain approximately 85 Tcf of
remaining proven natural gas reserves. (Proven reserves are those known to exist with a high degree of
probabilty and can economically produced with today's technology and economic conditions). From a
future production standpoint, these basins are estimated to contain nearly 500 Tcf of ultimate resource
potential.
A recent Canadian National Energy Board (NEB) study projected that 271 Tcf is recoverable from the
Western Canadian Sedimentary Basin - a 50-year supply at current rates of production. However, other
studies indicate that over the medium term, producing entities' plans for driling and production may not
replace natural declines in production, particularly in Alberta. New gas finds in Northern British Columbia
and the Northwest Territories indicate significant potential supply pools as does the recent activity in the
Glendale formation in Northwestern Alberta. As well, interest has again peaked in the supply potential
from the Arctic regions of Alaska and Canada in the Prudhoe Bay and Mackenzie Delta region although a
huge investment in pipeline capacity would need to be addressed. Forecast production figures for
domestically produced gas are more difcult to obtain. However, projections indicate that free-market
competition continues to spur future exploration and new technologies in the Rocky Mountain regions,
ensuring ample gas production well into the future.
From a production standpoint, recent evidence indicates a tight supply/demand balance with several of
the historical production basins in decline. While the unprecedented price increases during 2000 and
2001 were the result of many factors, clearly overall demand growth has exceeded supply growth over
most of the last decade. Supply shocks like those caused by severe hurricanes in the Gulf of Mexico or
demand surges like the long, cold winter of 2007/08 have a great affect on the supply/demand balance
and market prices. Continued reserve finds and driling success in the Rockies and recent success in the
Alberta and BC areas indicate that production should continue to support demand estimates throughout
the forecast and well into the future.
Price
One key determinant of an optimal resource portolio is the cost of delivered natural gas vis-à-vis other
competitive resources. For example, would it more efficient to meet any future deficit with storage, a
combination of natural gas and new capacity or other alternatives and what effect does the relative cost of
gas have on that determination? In order to adequately address the affect a range of natural gas prices
would have on optimization results, Intermountain evaluated a range price forecasts in order to determine
how movement in prices may affect the Company's plans to effciently meet customer demand.
44
Intermountain believes that the definitive source for current expectations of future natural gas prices is the
NYMEX natural gas futures index. Experienced participants in this market recognize that the vast majority
of players in the natural gas industry rely exclusively on the NYMEX as their principal pricing point and
further, that these same companies have similar basis differential assumptions. With this in mind,
Intermountain obtained two independent price forecasts from two different multinational energy
companies. Both forecasts were priced on the same day from the identical NYMEX close. Intermountain
then evaluated and compared them for consistency over the IRP's five year term. In each case, the
assessment of the monthly, seasonal and longer term variations were found to have no material variance.
Because the forecasts from these independent companies were nearly identical, not once, but twice,
supports the above assertion that the transparency of the market essentially leaves little room for extreme
divergence which is what one would expect from a mature, liquid market. Further, the nearly identical
figures should not be perceived as negative but it indicates that even though these two companies
compete against one another in a liquid and robust marketplace, the market generally settles to like
projections. This is not to suggest that contrary ideas are completely absent, only that in the absence of
external market shocks, the course of business ordinary tends toward order rather than chaos.
Consequently, Intermountain determined that selecting only one of those companies' forecasts would be
preferable as using both of them for optimization model runs would result in the twice the effort with no
material difference in outcome. Due to these companies concern for trade secrets, both companies
requested, and Intermountain agreed, to keep their identities confidentiaL.
In order to test optimization results against a range of natural gas prices, Intermountain requested not
only a Base Case, or expected price forecast, but also separate high and low price forecasts for the
purpose of banding the baseline forecast. Intermountain received four additional price forecasts, two each
for both high and low price assumptions. These alternate forecasts reflect a series of statistically-derived
projections utilzing a geometric Brownian motion methodology to calculate the potential movement in
prices. This type of continuous, risk-neutral, stochastic approach takes into consideration the implied
volatility, time to expiration, confidence intervals, and forward curves over the five year term. While this
specific model was designed to evaluate NYMEX projections, the provider adjusted it to allow for basis
differential analysis. This was the methodology used to provide Intermountain with four corresponding
price bands for each of the three basins utilized by Intermountain: For each basin, a plus and minus one
standard deviation from the baseline projection and a plus and minus two standard deviations for the
baseline projection was received (see Exhibit NO.7, Appendix C).
Next Intermountain had to determine which of these five different price forecasts to use in the optimization
modeL. It was apparent that the Base Case forecast would be most appropriate for the Base Case
scenario but which of the remaining four price forecasts was appropriate? Would the one or two standard
deviation prices provide superior results? From a purely visual perspective, it seems that both of the two
standard deviation projections result in prices that would appear to be either too high or too low to even
be in the realm of reasonableness. The definition of the standard deviation assumes that 95.4% of all
expected variation in a normally distributed curve would be captured by the plus and minus two standard
deviations based at some confidence intervaL. Therefore, the use of the two standard deviation forecasts
would imply that those forecasts intended to capture 95 plus percent of the volatility in gas prices that
could occur. With that in mind, It is no surprise that the plus/minus two standard deviation forecsts
provide such huge variation from the baseline. Consequently, Intermountain determined that to using the
plus/minus one standard deviation prices would be appropriate.
Types
Long-term supply has historically been priced at a premium to spot or index-based supply, so it is
imperative that term supply contracts have flexible pricing terms (e.g. annual renegotiation or index based
provisions) in order to remain market competitive. While the Company at one time relied very heavily on
Long-term gas supply, the liquidity of the natural gas market at its various pricing/receipt points has
rendered reliance on this type of supply less criticaL.
45
Spot gas is typically gas that suppliers, for various reasons, do not contact on a term delivery basis. The
term "spot gas" may apply to gas sold under differing terms including firm, interrptible, swing, day gas or
best efforts and is usually available at almost anytime at varying volumes, prices and contract terms. Spot
gas may be bought for one or several days a time, for one month or even for seasonal periods such as
the summer injection periods. During peak usage periods, spot may be diffcult to find, be relatively
expensive, unreliable or may be available only on a day-to-day basis. Of course in non-peak months, spot
is most often readily found and is usually relatively inexpensive compared to firm supply. Intermountain
generally purchases firm spot supplies for a given month and as a rule, targets those suppliers with
reputation for reliability.
Winter peaking supply is typically base load volume purchased for the two-to-four winter peak usage
months to augment the storage withdrawal cycle. While these contracts may be structured in any numbe
of ways, they are ordinarily firm in nature and have 100% daily take commitments but often have price
levels that exceed month-to-month spot. If Intermountain's loads continue to grow and new storage
resources are not contracted for, the medium term forecst may include a higher level of this type of
contract in order to fortify the reliability of winter deliveries.
Capacity Release has led to more availabilty on "Citygate" delivered gas supply. The abilty for holders of
firm transportation capacity to sell unused capacity into the competitive marketplace has encouraged
marketers and other like entities to package released firm capacity with gas supply and then sell the
combined commodity directly to utilities and/or endusers at citygate locations. Use of citygate delivered
supplies can lessen the need for year-round firm capacity.
Supply Regions
Intermountain's natural gas supplies are locted primarily in three producing regions: British Columbia
(BC) Canada, Alberta, Canada and the Rocky Mountain (or Domestic) region consisting of production
primarily from the states of Wyoming, Utah, Colorado and New Mexico. In general, the proportion of
purchases from the various supply basins is very dependent upon firm receipt capacity on the pipelines
(see "Transportation").
British Columbia
BC has traditionally been a source of inexpensive and abundant gas for the Pacific Northwest. Much of
the gas produced in the province was exported into the U.S. at an international interconnect point located
near Sumas, WA since much of that supply had historically been captive to the region due to the lack of
alternative pipeline options into Eastern Canada or the Midwest U.S. However, the expansion of
TransCanada Pipeline's capacity into Eastern Canada and the completion of the Allance pipeline
delivering supply into the Chicago region, eliminated that bottleneck. While there continues to be an
adequate supply from BC over and above provincial demand, new discoveries in Northeast BC and other
northern Provinces are critical to future deliverabilty to export markets. Even though these supplies must
be transported long distances in Canada and over an international border, there have historically been
few political or operational constraints to impede delivery to U.S markets.
Alberta
Production in this province has always been abundant. In fact, Alberta is believed to have the largest
natural gas reserves in the North American continent and annually produces 10 times the Pacifc
Northwest's yearly consumption. Since a 1993 PGT (PG&E NW) expansion that increased the delivery of
Alberta supply into NWP, Alberta supply has greatly increased in importance within Intermountain's
portolio. The Stanfield interconnect between NWP and PGT offers added operational reliability and
flexibility over other receipts points both north and south. Other positive factors influencing the decision to
purchase Alberta supplies are vast reserves, extensive pipeline facilities, and access to production-based
storage. Where these supplies once amounted to a trickle, today's purchases amount to nearly 40
percent of the company's daily supply purchases.
46
One area of concern is the rapid production decline of wells in this basin. In response to the price
increases in 2000 and 2001, record numbers of rigs were driled in Alberta however those wells did not
translate into commensurate increases in production. A large number of these new well completions were
in shallow reservoirs which produced huge levels of natural gas early on, but then declined rapidly.
However, regions that are expected to be the next frontier for future exploration and production are in
basins requiring deeper well depths. These deeper wells generally do not have the robust early
production of the shallower wells but neither do they have the steep production decline curve and
therefore produce gas, at steadier rates, for much longer periods. So, while the short-run supply
availabilty from Alberta may tighten somewhat, longer-term forecasts project some growth in production.
Additionally, the northern most pipeline facilties in Alberta are well positioned and have the capacity to
receive supply from the Arctic regions if and when exploration and production commence in those basins.
Rockies
Domestic supply from the Rocky Mountain region has historically been the second largest source of
supply for Intermountain partly due to capacity controlled by the Company on Northwest. Due to too little
interstate capacity from this production basin, Rockies gas has historically traded at a discount to gas
from the other aforementioned basins. For Intermountain these supplies have been readily available,
relatively inexpensive and highly reliable.
One area of concern is that NWP has a capacity limitation through its Kemmerer, Wyoming compressor
station which limits the amount of Rockies supply that can flow west into Idaho. In fact, the Kemmerer
station had been operating a maximum capacity for some time now. Because the cost of physically
increasing capacity through the Kemmerer would be exorbitant, the company will likely be able to
increase its purchases of Rockies supply unless additional released capacity can be obtained from
another firm shipper.
While Rockies production currently exceeds regional demand and takeaway capacity, several new
projects have been announced and/or proposed to take more Rockies gas east into the Midwestern
pipeline system. Completion of any or all of these projects would greatly affect the price of Rockies
supplies. On top of that, three new pipeline projects have been proposed to bring Rockies gas west to
the interconnect with the GTN system moving gas into California. While none of these projects have
plans to physically deliver natural gas into to Idaho, any of the three would provide additional supply to
the region and would offer increased liquidity at the Stanfield interconnect but would also likely add
upward price pressure to the Rockies supplies.
Rockies production will continue to grow and the Company wil continue to obtain approximately 50
percent of its annual gas supply from the Rockies.
Transportation Capacity
General
All U.S. interstate pipelines are transporters and no longer sell delivered gas. Firm transportation capacity
provides a mechanism whereby a pipeline wil, on behalf of a designated and approved shipper, reserve
the right to receive a specified amount of natural gas supply on its pipeline system .from that shipper and
subsequently redeliver that specified volume to particular delivery point. Intermountain has firm capacity
on Northwest Pipeline and three other pipelines that deliver Alberta gas to Northwest's Stanfield
interconnect. The major pipelines with which NWP interconnects can be seen on Exhibit 7, Appendix A.
Intermountain currently has enough firm capacity to deliver nearly 275,000 MMBtu per day to its various
citygates. When coupled with its peak day storage deliverability of 196,000 MMBtu, the Company can
deliver nearly 471,000 MMBtu on a peak day. When compared against the Design Base Case LDC, no
interstate deficits occur through 2013.
Intermountain provides both interstate and distribution transport services to its industrial customers in its
service territory through the use of its pipeline contracts and/or distribution system. For Intermountain's
47
firm T-1 and T-2 customers, the customer's gas is recived at the NWP mainline, transported on the
Company's interstate capacity and distribution system and then redelivered to the customers' facilties.
The Company also transports gas under its T -4 tariff where the customer delivers supply to one of
Intermountain's applicable citygates and that supply is then redelivered to the customer's facilties via the
Company's distribution facilties.
Intermountain has actively managed the utilization of its transport capacity through the growth years of
the 1990's as projects to build new capacity have largely been either extremely expensive or unavailable
to this area requiring the company to consider several alternatives. In fact, NWP has no current plans for
facilties expansion that would provide additional rights to Intermountain. One strategy to forestall the
need to purchases new capacity has been to encourage the Company's industrial customers to
participate in the open market to procure their own capacity. The Company has also limited growth in the
industrial customer's loads under firm agreements and has required new transporters to elect T-4
distribution-only transportation service. These strategies have allowed the company to continue to serve
the core market with firm service without adding new pipeline capacity. Intermountain recognizes that
eventually growth wil dictate the need for additional capacity; projections for adding new capacity are
addressed in this study.
The company has one main transmission line in Eastern Idaho that serves customers in the Idaho Falls
region. Due to increased customer load in this area, this line has been capacity constrained at times and
is one of the resources that the company monitors closely. Intermountain has also recently identified two
other locales that are projected to see capacity constraints in the coming years. The first is the Sun Valley
lateral in Central Idaho and the Canyon County area in Western Idaho. All three of these constraint areas
are addressed in this study.
Regulation
All activity regarding transportation of natural gas supplies through any part of the interstate pipeline grid
continues to be under the review and regulatory oversight of the Federal Energy Regulatory Commission
(FERC). The Idaho Public Utilties Commission (IPUC) continues to oversee all operations conducted
within the state of Idaho.
Storage Resources
General
As previously discussed, gas supply and transport capacity availabilty are very linear in nature. Because
of the low load factor as reflected in the Company's LDC, peak demand greatly exceeds maximum supply
deliverability as the cost to obtain such low load factor gas supplies and firm transport capacity to make
supply the peak day would be enormous. The use of storage facilities is a cost effcient way to fill the gap
between peak demand and available deliverable supply. Intermountain injects excess gas into storage
during off-peak periods and then withdraws it during the peak load months. The advantage is two-fold:
first, the Company can shave the winter peak off the LDC minimizing firm gas supply and transport
capacity needs and secondly, injecting gas in off-peak months provides a more effcient year-round use of
the interstate capacity resource. Additionally, the marketplace normally prices off-peak supplies at a
discount allowing the Company to inject gas into storage during lower price months which most often
results in a lower overall WACOG. Storage facilities are normally of two general types: liquefied storage
and underground storage.
Liquefied Storage
Liquefied storage facilties make use of a process that supercools gaseous methane under pressure until
it reaches approximately minus 260°F until it liquefies. Liquefied natural gas (LNG) occupies only one-six
hundredth the volume compared to its gaseous state and so it is an effcient method for storing peak
requirements. LNG is also non-toxic, non-corrosive and wil only burn when vaporized to a 5-15%
concentration with air. However, because of the liquid nature of the supply, LNG is normally stored in
man-made steel tanks and safety equipment is required.
48
Liquefying natural gas is relatively slow and costly compression equipment is required. It typically requires
as much as one unit used for liquefaction fuel for every three to four units liquefied. Also, a full
liquefaction cycle may take 5 - 6 months to complete. Because of the high cost and length of time
involved filing a typical LNG facility, it is normally cycled, at most, once per year and its use reserved for
peaking purposes.
However, the process of changing the liquid back into the gaseous state is an effcient process called
vaporization. Since the natural state of methane under typical atmospheric and temperature conditions is
gaseous and in fact, lighter than air, and the liquid methane is super-compressed, vaporization requires
little energy and wil occur naturally under normal conditions but the process can be enhanced using
pumps and vaporizers. Vaporization of LNG into a system is usually accomplished by utilzing the system
pressure differentials through the opening and closing of valves. The high pressure LNG is moved
through the vaporization and then into the lower pressure distribution system. Potential LNG daily
withdrawal rates are normally large and a typical withdrawal cycle may last less than 10 days at full rate.
For this reason, LNG is typically used as "needle" peaking supply and is usually located in market areas.
Intermountain utilzes two such facilties; one is Northwest's LS facility located near Plymouth,
Washington and the other resides on Intermountain's distribution system near Nampa. Neither facilty
requires the use of existing TF-1 transportation capacity as the Plymouth facility has bundled transport
capacity for delivery to Intermountain and the LNG tank withdrawals go directly into the Company's
distribution system.
Underground Storage
This type of facility is typically found in naturally occurring underground reservoirs or aquifers (e.g.
depleted gas formations, salt domes, etc.) or sometimes in man-made caverns or mine shafts. These
facilties often require little hardware compared to LNG and are usually less expensive to build per
equivalent volume. In addition, commodity costs of injections and withdrawals are usually minimal by
comparison. These lower costs allow the more frequent cycling of inventory; many such entities are
utilzed to take arbitrage changing market prices. Of more significance to Intermountain, the minimal
commodity costs make underground storage an ideal tool for winter baseload or for daily load balancing.
Another material difference is the maximum level of injection and withdrawaL. Because underground
storage involves far less compression as compared to LNG, daily injection levels are much higher while
daily withdrawal maximums are significantly less. Consequently, a typical withdrawal cycle might last 35
days or more at maximum withdrawaL. For this reason, the company generally utilizes underground
storage for winter base load supply and the withdrawal cycle typically lasts from November to mid-March.
Intermountain utilizes three underground storage facilities. The first is Jackson Prairie located near
Chehalis, WA and operated by NWP. Another is Questar's Clay Basin facilty Northeastern Utah that has
a direct connection to NWP. Lastly, the company utilizes a facilty located in Eastern Alberta called
"AECO" operated by the Alberta Energy Company. It is connected to the NOVA system and, unlike the
other storage sites used by the company which are market based, AECO is located near the producing
fields of Alberta and does not require the use of Intermountain's interstate capacity to effectuate
injections.
Delivery Capacity
Both the Plymouth and Jackson Prairie facilities include distinct bundled firm redelivery transport capacity
on NWP equal to the daily the withdrawal rights. This enables Intermountain to withdraw and redeliver
these volumes without using its annualized firm capacity; however, injections do require the use of
interstate capacity. This is advantageous because allows the company to minimize its daily, or annualized
maximum requirement during peak seasons but also provides a mechanism whereby the Company can
use otherwise unutilized capacity during the non-peak season.
49
AECO and Clay Basin are not bundled with transport capacity. This requires Intermountain to use its
already existing annualized capacity on NWP to move withdrawals to the company's citygate locations.
As such, these facilties' inventory is generally withdrawn in a winter baseload fashion. Clay Basin also
requires existing capacity for injections, while AECO does not. The LNG facilty only requires capacity for
injections since it is located on the company's own system; withdrawals generally occur via pressure
differentials and are reserved for the coldest peak periods.
The company generally utilzes its diverse storage assets to offset winter load requirements, provide peak
load protection and, to a lesser extent, for system balancing. Intermountain believes that the geographic
and operational diversity of the five facilties utilzed offers the company and its customers a level of
effciency, economics and security not otherwise achievable. Geographic diversity provides security
should pipeline capacity become constrained in one particular area. The lower commodity costs and
flexibilty of underground storage allows the company flexibilty to determine its best use from alternative
such as winter baseload, peak protection, price arbitrage or system balancing. Because of high levels of
daily withdrawal capacity along with relatively high operating costs, the Company has traditionally used
the liquefied inventory facilities (LS and LNG) for needle peaking supply during periods of extreme cold.
Supply Resources Summary
Because of the dynamic environment in which it operates, the Company wil continue to evaluate
customer needs in order to provide an efficient mix of the above supply resources to provide reliable,
secure, and economic firm service to its customers. Intermountain actively manages its supply and
delivery portolio and consistently seeks additional resources and techniques to maintain and improve
customer service. The Company actively monitors natural gas pricing and production trends in order to
maintain a secure, reliable and price competitive portolio. Intermountain also seeks innovative
techniques to manage its transportation and storage assets in order to provide both economic benefits to
the customers and operational efficiencies to its interstate and distribution assets.
50
NON-TRADITIONAL SUPPLY RESOURCES
Non-traditional supply resources help supplement the traditional supply-side resources during peak
demand conditions. Non-traditional resources include two general types: energy supplies not received
from an interstate pipeline supplier, producer or interstate storage operator and various methods used to
increase capacity within the Company's distribution system that enhance the ability to flow gas during
periods of peak demand. Six (6) non-traditional supply resources and three (3) capacity upgrade options
were considered in this IRP and are as follows:
Non-Traditional Supply Resources
1. Fuel Oil
2. Coal
3. Wood Chips
4. Propane
5. Remote/Portable LNG Facilties
6. Biofuel Production
Capacity Upgrades
1. Pipeline Loop
2. Pipeline Uprate
3. Compressor Station
Non-traditional Supplies
While the large volume industrial customers' load profile is relatively flat compared to the Core Market, the
industrials are stil a significant contributor to overall peak demand. However, some industrials have the
ability to use alternate fuel sources to temporarily reduce reliance on natural gas. By using alternative
energy resources such as fuel oil, coal, propane and wood chips, an industrial customer can lower their
natural gas requirement during peak load periods while continuing to receive the energy needed for their
specific process. Even these alternative resources have the ability to be used at any time, they are
ideally suited to be applied during peak demand. However, only the industrial market has abilty to use
any of the aforementioned alternate supplies in large enough volumes to make any material difference in
system demand. More specifically, only industrial customers located along the Idaho Falls Lateral have
the abilty to use any of these non-traditional resources. In order to rely on these types of peak supplies,
Intermountain would need to engage in negotiations with specific customers to ensure availabilty. The
overall expense cost of these kinds of arrangements, if any, is difficult to assess.
The two remaining non-traditional resources - Remote/Portable LNG facilties and bio-fuel production -
are technically not forms of demand side management but they do have the ability to provide additional
natural gas supply at the most favorable locations within a potentially constrained distribution system.
They can therefore supplant the normal capacity fixes - capacity related upgrades to the distribution
system. The ability to create new, portable supply points can maximize capacity possibilities in existing
distribution systems.
Fuel Oil
There is one large volume industrial customer along the Idaho Falls Lateral that currently has the abilty to
use fuel oil as a natural gas supplement. That plant can switch its boilers to burn oil and decrease a
portion of their gas usage, up to 35%, but cannot run the plant at capacity with just oiL. Burning fuel oil in
lieu of natural gas requires various permitting from the local governing agencies, increases the amount of
emissions from the plant, and can have a lengthy approval process depending on the specific type of fuel
oil used.
Capital costs for fuel oil facilities are approximately $150,000 - $250,000 providing 5,000 - 10,000 therms
per day with a limited supply onsite; the industrial customer typically has a three (3) day supply of oiL.
After three days, the facility would then have to be refilled with oil at a cost between $1.50 - $2.00 per
51
gallon depending on contractual obligations and time of year. (Note: one gallon of fuel oil is typically
138,000 - 155,000 BTU, depending on grade and blending which calculates into $0.97 - $1.45 per therm.)
Fixed operation and maintenance (O&M) costs are approximately $60,000 - $120,000 per year.
Coal
Coal use is very limited as a resource for industrial customers within Intermountain's service territory. A
coal user must have a separate boiler installed that wil burn coal, along with their natural gas burning
boilers, and typically must have direct railroad access to transport the large quantities of coal required to
fuel a boiler. Regulations and permitting requirements can also be a challenge. Intermountain currently
has one institutional industrial customer capable of and wiling to burn coal, on the IFL. This customer
typically supplements their winter gas usage with coal and has the ability to run completely on coal if
requested. At maximum usage, it would offset 1800 therms of natural gas.
The cost of coal in the northwest ranges from $30.00 - $60.00 per ton, depending on the quality of the
coaL. Lower BTU coal would range from 8,000 - 13,000 BTU per pound while higher quality coal would
range from 12,000 - 15,000 BTU per pound. This translates into a per therm cost of coal of roughly $0.18
- $0.25 plus rail transportation and equipment O&M costs.
Wood Chips
Using wood chips as an alternative fuel is a practice utilized by one large volume industrial customer on
the IFL. In order to accommodate wood burning additional equipment must be installed, such as wood
fired boilers and storage facilties for the wood chips. The wood is supplied from various tree clearing and
wood mil operations that produce chips within regulatory specifications to be used as fueL. The chips are
then transported by truck to location where the customer wil typically store a two (2) to three (3) month
supply. The wood fired boilers are currently used on a full-time basis in conjunction with natural gas
boilers, and technically won't offset gas usage. For comparison purposes the wood fired boilers, if used
to replace natural gas for this specific industrial customer, could offset gas usage by approximately 5000
therms per day. Unfortunately, this single customer does not have the abilty to use any more wood chips
than it is currently using.
The cost of wood chips changes based on transportation, location and the type of wood processing plant
that is providing the chips. Wood has a typical value of 4,500 BTU per pound, which converts into twenty
two (22) pounds of wood being burned to produce one (1) therm of natural gas. An approximate cost of
purchasing wood chips in the northwest is estimated at $70.00 - $100.00 per ton or $.78 - $1.10 per
thermo
Propane
Since propane is similar to natural gas, the conversion to propane is much easier than a conversion to
most other alternative resources. With the equipment, orifices and burners being similar to that of natural
gas, an entire industrial customer load (boiler and direct fire) may be switched to propane. Therefore,
utiizing propane on peak demand could reduce an industrial customets natural gas needs by 100%. The
use of propane requires onsite storage, additional gas piping and a reliable supply of propane to maintain
adequate storage. Currently, there are no industrial customers on the system that have the ability to use
propane as an alternative to natural gas.
Capital costs for propane facilities are considerably higher than that for fuel oiL. Typical capital costs for a
peak day send out of 30,000 therms per day and required storage tanks are approximately $600,000 -
$700,000. As with oil, storage facilties could be designed to accommodate delivery of a peak day load
for up to seven (7) days thus requiring the facilities to be refilled with propane weekly at a cost ranging
from $1.60 - $2.00 per gallon. (NOTE: One gallon of propane is approximately 92,000 BTU). Fixed O&M
costs are approximately $50,000 - $100,000 per year.
52
Remote/Portable LNG Equipment
Remote/Portable LNG equipment allows natural gas to be transported in tanker trucks in a liquid form;
meaning that larger quantities can be delivered to key supply locations throughout the distribution system.
Liquefied natural gas has tremendous withdrawal capabilty due to the natural gas being in a different
state of matter. Portable equipment has the abilty to convert LNG to a gas and deliver it into the
distribution system by heating the liquid from -260°F to a typical temperature of 500 - 700F. This portable
equipment is available to lease or purchase from various companies and can be used for peak shaving at
industrial plants or within a distribution system. Regulatory and environmental approvals are minimal
compared to permanent LNG plants and are dependent upon the specific location where the portable
LNG equipment is placed. The available delivery pressure from LNG equipment ranges from 150 psig to
650 psig with a flow capability of approximately 2,000 - 8,000 therms per hour.
Intermountain Gas recently purchased a portable LNG unit, which is currently in operation on the Idaho
Falls Lateral to peak shave the northern end of the system. In addition to the portable equipment,
Intermountain also has a permanent LNG facilty on the Idaho Falls Lateral that is designed to
accommodate the portable equipment, provide an onsite control building and allow onsite LNG storage
capabilities to partially mitigate the risk associated with relying on truck deliveries. This particular
permanent facilty is designed to store up to two (2) days of LNG onsite, and along with the portable
equipment, has the ability to send out approximately 50,000 - 90,000 therms per day depending on
demand.
The cost of the portable LNG equipment is approximately $1 - $2 millon with additional cost to either
lease or purchase property to place the equipment and the cost of the optional permanent LNG facilty.
The fixed cost to lease the portable equipment is approximately $200,000 - $300,000 per month plus the
cost of LNG. The price of LNG is dependent upon time of usage, natural gas prices, liquefaction charges,
and transportation costs.
Biofuel Production
Biofuel can be defined as utilizing any biomass product as a fueL. Biomass is organic material being
derived from plants, animals or animal byproduct. A biofuel can be used as a substitute or reproduction
of typical fossil fuels such as oil, coal and natural gas, and is a renewable source of energy. A biofuel
that is abundant in southern Idaho and has the potential to become a renewable energy is cow waste,
due to the numerous dairy farms in the area.
Currently, Intrepid Inc. is utilizing a large dairy cow population to collect cow manure, and through
anaerobic digestion they essentially collect and process the methane that is released to create natural
gas. Intrepid has continually enhanced their process and wil be subjected to a quality regulations test to
ensure their gas meets industry standards. Two digester facilties are scheduled to be producing 2,000 -
6,500 therms per day of natural gas that possibly could be injected into Intermountain's distribution
system and be a permanent additional gas supply. With the concentration of dairies in southern Idaho
there is potential for more digesters to be constructed and renewable natural gas could be available in a
much larger supply in the future.
Capacity Upgrades
The three capacity upgrades discussed below do not reduce demand nor do they create additional supply
points, rather they increase the overall capacity of a pipeline system while utilzing the existing gate
station supply points.
Pipeline Loop
Pipeline looping is a traditional method of increasing capacity within an existing distribution system. The
loop refers to the construction of new pipe parallel to an existing pipeline that has, or may become, a
constraint point. The feasibilty of looping a pipeline is primarily dependant upon the location where the
53
pipeline wil be constructed. Installng gas pipelines through private easements, residential areas,
existing asphalt, and steep or rocky terrain can greatly increase the cost to amounts that are unjustifiable
so that other alternative solutions offer a more cost-effective solution.
The potential increase in system capacity by constructing a pipeline loop is dependant on the size and
length of new pipe being installed with typical increases in capacity ranging from 100,000 - 250,000
therms per day on large, high pressure laterals. The cost for a new pipeline installation of this magnitude
is generally in the range of $5 - $10 million.
Pipeline Uprate
A quick and sometimes relatively inexpensive method of increasing capacity in an existing pipeline is to
increase the maximum allowable operating pressure of the line, usually called a pipeline uprate. Uprates
allow a company to maximize the potential of their existing systems before constructing additional
facilties and are normally a low cost option to increase capacity; however, leaks and damages are
sometimes found or incurred during the uprate process creating costly repairs. There are also safety
considerations and pipe regulations that restrict the feasibility of increasing the pressure in any pipeline,
such as the material composition, strength rating and location of the existing pipeline.
Compressor Stations
Compressor stations are a third capacity-related option. They are typically installed on pipelines or
laterals with significant gas flow and the abilty to operate at higher pressures. Intermountain currently
has two such transmission pipelines for which the installation of a compressor station would be practical:
the SVL and the IFL. Regulatory and environmental approvals to install a station along with engineering
and construction time can be a signifcant deterrent, but compressors can also be a cost effective,
feasible solution to lateral constraint points. Compressor stations can be broken down into the following
two (2) scenarios:
A single, large volume compressor can be installed on the pipeline when there is a constant, high flow of
gas. The compressor is sized accrding to the natural gas flow and is placed in the optimal position
along the lateraL. This type of compressor will not function properly if the flow in the pipeline has a
tendency to increase or decrease significantly. This type of station can have a price range of $3 - $5
millon plus land, and a typical O&M cost will be in the range of $150,000 - $200,000 annually.
The second option is the installation of multiple, smaller compressors located close together or
strategically placed in different locations along a lateraL. Multiple compressors are very beneficial as they
allow for a large flow range, redundancy and the use of smaller and typically very reliable compressors.
These smaller compressor stations are well suited for areas where gas demand is growing at a relatively
slow and steady pace so that purchasing and installng these less expensive compressors can be done
over time. This "just in time" approach allows a pipeline to serve growing customer demand for many
years into the future while avoiding the single, rather large expenditure to purchase a larger station.
However, high land prices or the unavailabilty of land may render this option economically or
operationally infeasible. The cost of a smaller compressor station, excluding land, is estimated at $1.2 -
$2.5 milion with O&M costs of $80,000 - $150,000 annually.
54
AVAILABLE AND POTENTIAL SYSTEM CAPACITY ENHANCEMENTS
Throughout the previous sections of the IRP it has been shown that due to system growth, Intermountain
could possibly experience future capacity deficits. Through the use of a gas modeling system that
incorporates regional and total customer loads and current distribution system capacities, any such deficit
has been defined as to both timing and magnitude. Where any such deficit occurs, multiple solutions
including possible system capacity enhancements, were evaluated and provided as inputs to the
optimization modeL.
The three identified Focus Zones that were analyzed under design conditions were: the Idaho Falls
Lateral, the Sun Valley Lateral and the Canyon County Area. Each of these areas are unique in their
pipeline characteristics and the optimization of each requires different enhancement solutions.
Idaho Falls Lateral
Based on conclusions from the 2006 IRP, near-term IFL deficits have been remedied through the
installation of an LNG facility, just south of Rexburg, which operates using portable LNG equipment. The
facilty was installed in 2007 and current plans include the addition of a permanent LNG storage tank to
be installed by 2009. The onsite storage tank wil mitigate the plant's reliance on tanker trucks
transporting LNG supply when it is required in times of high demand. The addition of this facility
increases the maximum daily capacity of the IFL to 1,000,000 therms per day.
Sun Valley Lateral
The SVL is a long stretch of pipeline that has little gas usage except near the very end of the lateraL.
Land near the load center is either very expensive or simply unavailable. This type of situation indicates
that a compressor station installation on the lateral would best maximize the performance of the existing
line. Based on current lateral dynamics and project estimates, the Company believes that optimal timing
of such an enhancement should occur prior to fiscal year 2011.
Based on earlier resource planning, Intermountain is currently planning to rebuild the gate station that
feeds this lateral which wil enhance the receipt capacity of the lateraL. With the gate rebuild and the
installation of a compressor station, the total lateral capacity would increase to 204,000 therms per day.
Even though Design Base Case estimates show some small deficits for 2009 and 2010, the Company
believes that the gate rebuild project coupled with SVL linepack would provide enough flexibilty to
weather a small one or two day deficit until the compressor station is completed.
Canyon County Area
The Canyon County area has multiple pipelines of different diameters and pressures spread throughout
the area but there exists a single, undersized, botteneck line which stands out as the weakest point in the
system. The best enhancement alternative for this situation is a loop line that wil remove the current
bottleneck restriction. The line loop is eštimated to be installed prior to fiscal year 2012 and would
increase the system capacity to 833,000 therms per day.
55
DISTRIBUTION SYSTEM MODELING
A gas distribution system relies on pressure differentials to move gas from one point to another. If the
pressure is exactly the same on both ends of a particular system, gas wil not flow. When gas is removed
from some point on a system (i.e. regulator station, house meter, industrial customer) to get to an
appliance or boiler, the pressure in the system at that point is then lower than the pressure upstream in
the system. This pressure differential causes gas to move from the higher pressure point to the point of
removal in order to equalize the pressure throughout the distribution system. The same principle keeps
gas moving from the interstate pipelines to the LDC distribution system. When loads exceed a system
capacity, the pressure at the far end of the system falls off, and the system essentially runs out of
pressure. Therefore, it is important that gas engineers design a distribution system in which the
beginning pressure (from gate and/or regulator stations) within the system is high enough that a feasible
and practical pressure differential is created when gas leaves the system.
Gas flow through a pipe falls under the engineering discipline of fluid mechanics. Due to the nature of
fluid flow, there is a finite amount of gas that can flow through a pipe of a certain size and length so the
laws of fluid mechanics are used to approximate flow conditions of gas through pipes under varying
conditions. Using the laws of fluid mechanics, engineers determine the maximum flow of gas through a
distribution system of various pipe diameters and lengths that wil not cause significant pressure drops.
This process is known as "distribution system modeling." Ultimately, lateral and total system throughput
under certain weather conditions can be ascertained. Peak system capacity is determined through the
same methodology using the design weather assumptions.
The modeling process is important because it allows the engineer to determine the capacity of various
distribution systems. For example, if a large usage customer is added to a distribution system, the
engineer must evaluate the existing system and then determine whether or not there is adequate capacity
to maintain the new customer along with the existing customers. Modeling is also important when
planning new distribution systems. The correct size of pipes must be installed to allow for the flow
needed to meet the requirements of current customers and reasonably anticipated future customers.
Furthermore, existing system capacities can be evaluated using the model by gradually increasing the
loads throughout the system until the pressure loss within the system becomes unacceptable.
In order to identify the maximum capabilty of all sections of the distribution system, the Company utilzes
gas modeling software to ascertain maximum system throughput under the various demand scenarios.
Comparing these flows against pipeline capacities identifies the magnitude and timing of potential
distribution system deficits.
Modeling by Town
Intermountain utiizes a gas network analysis softare program created and supported by Advantica, Inc.
to model all sizes of distribution systems. The softare program was chosen for its reliability, versatilty,
and power. Using the softare, individual models have been created for each of Intermountain's various
distribution systems, including high pressure laterals, intermediate pressure systems, and distribution
system networks.
The model of the various systems is constructed as a group of nodes and elements. A node is defined in
a system as being a point where gas either enters or leaves the system, where a change in pipe diameter
occurs or at an interconnection with another pipe. An example of a node in a distribution system might be
a number of homes within a subdivision, a small commercial load, or a large industrial load. An element
is defined in a system as the various sizes of pipe, valves, regulator stations, or compressor stations,
which make up a distribution system. A model for a small town typically consists of approximately 100 -
300 nodes and 250 elements, a medium town typically consists of 500 - 1,500 nodes and 1,200 elements,
and a large city or area typically consists of 4,000 or more nodes and 4,000 or more elements. The
Boise/Meridian distribution model is the largest and involves approximately 20,000 nodes and 20,000
elements.
56
The softare program allows the engineer to input and/or change the gas load at an individual node,
selected specific nodes, or all nodes. By using the forecasted loads within this integrated resource plan,
Intermountain engineers can determine the most likely points where future constraints may occur based
on the calculated pressure drops. When constraint areas are identified, the most practical and cost
effective methods of solving the constraint are evaluated. Sometimes the solution is as simple as
increasing pressure within the system, but in many situations, additional pipe or looping is required.
Looping scenarios can then be modeled to determine the ultimate size and location of pipe in order to
maintain adequate pressures throughout the system.
57
THE EFFICIENT AND DIRECT USE OF NATURAL GAS
Natural Gas and our National Energy Picture
According to the American Gas Association, in the United States natural gas currently meets 23% of the
nation's energy needs, providing energy to over 63 milion American homes. The residential market uses
24% of total U.S. natural gas consumption. Over 5,000,000 commercial customers also use natural gas
for their energy needs, consuming 15% of our nation's annual throughput. 215,000 industrial and
manufacturing sector customers use natural gas in their processes consuming 38% of the U.S. annual
total. And in another fast-rising sector, 2,600 electric-power-generating enterprises consume the
remaining 23% of annual U.S. demand.
The simple reason for the widespread use of this energy source is: natural gas is the cleanest and most
effcient fossil fuel, period. Continued expansion of natural gas usage can help address several
environmental concerns simultaneously, including smog, acid rain, and carbon footprint.
Furthermore, 97% of the natural gas used in the United States comes from North America, where
supplies are abundant. And the 2.2-milion-mile underground natural gas delivery system has an
outstanding safety record, and is reliably capable of delivering natural gas, regardless of the weather.
Thus, for all the right reasons, the demand for natural gas has risen, and with that, so has its price.
Wellhead gas prices have shown considerable volatilty over the last 10 years, reaching levels five times
greater than the prices in the mid 90s. Natural gas is stil very plentiful in North America, with an
estimated 60+ years supply at current consumption levels. Furthermore, when new "unconventional.
supplies such at coal bed methane are included in forecasts, U.S. natural gas supplies could be extended
several hundred years. What has happened, though, is that our nation's demand for natural gas has
caught up to the deliverability of the fueL. While there is enough production and delivery capabilty to
meet the demand, it now takes more driling, more wells to maintain capacity. And with this tightening of
supply vs. demand, the price is up.
Now, more than ever, it is vital that all natural gas customers use the energy as wisely and as effciently
as possible.
Natural Gas Equipment Effciency
Technology has given us many new and more effcient ways to meet our energy needs without sacrificing
the environment. Over the recent years, new natural gas residential and commercial HVAC equipment
and appliances have become far more effcient as Federal and State equipment effciency standards
have taken effect. And in the existing customer group, as older, less-effcient equipment wears out, it's
replaced with these newer, more efficient units. Thus, the entire natural gas user base grows more
effcient each year.
The adoption of more energy effcient building codes and standards - new homes and commercial
structures built to higher standards driven by Federal and State codes, has meant far more effcient use
of natural gas. And as with the replacement of older equipment mentioned above, older housing and
commercial units are being upgraded to higher effciency standards. Most people don't realize it, but the
average household uses 32% less natural gas than it did in 1980, thanks largely to the aforementioned
effciency improvements. And by using energy wisely, consumers wil continue to use less, and therefore
help control their energy costs.
The Gas Technology Institute continues to perform important ongoing research and development work in
the gas equipment arena, from residential to large industriaL. GTI is not just developing new uses for
natural gas, but is also improving the effciency and cleanliness of existing applications. IGC has
participated in local GTI research and development projects, and wil continue that collaboration as the
opportunities arise.
58
Natural gas equipment effciency makes economic sense in today's new energy era, and IGC wil
continue to encourage new residential and commercial technologies, as they become available.
Natural Gas Conservation Customer Education
On our website, ww.intgas.com. residential and small commercial customers can obtain detailed
information regarding energy conservation at home or their business. Large-volume/Industrial customers
have their own website from which they can obtain real-time gas consumption information.
Also at the website, customers can view our Energy Conservation Brochure, which was mailed to all our
+290,000 core-market customers in October 2007. The web version of this brochure contains a link to
the Idaho Department of Water Resources Energy Division. IDWR offers low-interest loans for energy
effciency upgrades, including space and water heating equipment, insulation, and duct sealing. The
Energy Conservation Brochure in hard copy is also available at all of our customer contact offces
throughout the IGC service territory.
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In addition to bil paying and other services, IGC customers can also access their individual biling and
gas consumption history on the website. Customers can enroll online or by phone. The process is easy,
and access is immediate. IGC customer communications, mass-media advertising, website, and
marketing information all encourage customers to consider high-efficiency equipment when making their
equipment purchase or upgrade decisions.
We also continue to provide a detailed, 10-minute conservation tips video on our website. This video was
produced by the Alliance to Save Energy and our AGA partner, Washington (D.C.) Gas. It gives a wide
variety of energy saving instruction and advice, including do-it-yourself installation of insulation, storm
windows, and weather-stripping, as well as how-to's for natural gas conservation measures and practices.
59
Customers can view the entire video, or select segments that deal with particular conservation-minded
tasks and instructions. We have also provided DVD copies of the conservation tips video to community
action agencies and others working to counsel homeowners on wise energy usage (see exhibit 10).
WhereVer possible, our communications messages promote the use of our website for such information.
Intermountain Gas Company's Industrial Website was designed to allow the industrial customer access to
the most up-to-date natural gas usage information on their location. The site is accessible via the internet
using a specific logon name and password, making the information on each customer site-specifc. It
contains a great deal of information useful to the large volume customer. They can access information as
to the different services and applicable tariffs.
Viewing Consumption
*Note: Usage information is shown in Decatherms
There are several tools to review, evaluate, and analyze the natural gas consumption at their specific
facility. The meter reads are taken hourly, and sent via radio communication to our Gas Control Center.
Once this information is in our system, it is available for viewing on the website. This is especially useful
in tracking and evaluating energy saving measures and new production procedures. History may be
downloaded as far back as January 1994 and all information is available on an hourly, weekly, monthly,
and annual basis.
IGC strives to keep this site in the most usable format for the customers, so a "feedback" button is also
included on the site to let us know how best to fulfill their needs.
Intermountain's customer contact and marketing personnel are equipped to assist current and potential
customers with evaluating the advantages of installing high-effciency gas equipment where possible.
Fall 2007, IGC participated in the Energy Resource Symposium, a half-day seminar for energy~assistance
providers and advisors. Held at Idaho Power's headquarters, participants were given information on
various developments in energy payment assistance and utilty payment plans and arrangements.
Continuing this conservation information outreach, IGC personnel have participated in other such energy
conservation seminars at the Boise Public Library, the Bureau of Land Management, and the Department
60
of Environmental Quality. During these talks, the IGC personnel gave a brief outline of the energy pricing
situation, offered conservation tips including the installation of automatic setback thermostats, turning
down water heater thermostats, and the importance of regular furnace filter maintenance. IGC hopes to
continue this particular activity in the future.
Further community conservation outreach took place at Fort Hall, Idaho in February 2008, where the Sho-
Ban Native American tribe conducted its own energy symposium. IGC presented residential energy-
conservation information similar to that given at the aforementioned Senior Citizen Center visits.
Intermountain has a long history of promoting the effcient use of natural gas by our customers. Over the
years, IGC has offered rebates and incentives for the installation of energy saving devices such as
pilotless furnace ignition systems, furnace flue dampers, and stil to this day, a high-effciency (90%)
furnace conversion rebate.
IGC remains a partner in the Rebuild Idaho energy effciency campaign, targeted toward our state,
municipal and county entities, our school districts, and our institutions of higher education.
In the summer of 2004, IGC granted funds to the Energy Division of the Idaho Department of Water
Resources to assist in educating remodeling contractors in the use of high-effciency energy techniques
and products, which will serve to improve energy usage efficiency in the older-home market. This grant
was funded in two parts, and IGC funded the second part of the contribution in 2006.
In the Fall of 2007, IGC became an ENERGY STAR Utility Partner. Through this partnership, we plan to
promote energy efficiency in the new and existing residential markets via the encouragement of high-
effciency ENERGY STAR appliances and equipment, as well as ENERGY STAR building practices for
new single-family and multi-family dwellings. Our development of our policies and actions in this area is
ongoing.
In March 2008, IGC co-sponsored, along with Idaho Power and the Governor's Offce of Energy
Resources, the Idaho Building Effciency Conference. Held in Boise, the gathering featured seminars on
energy-effcient building techniques, and showcased new HVAC technologies and equipment.
IGC is an active voice in Idaho's legislative process as the lawmakers consider new, higher-effciency
building and energy codes.
Energy Efficiency Through the Direct Use of Natural Gas
Aside from technical improvements in equipment efficiency, and conservation-minded customer behavior,
on overriding factor in efficient natural gas usage is the concept of direct use, whenever possible. "Direct
use" refers to employing natural gas at the user point for space heat, water heating, and other
applications, as opposed to using natural gas to generate electricity to be transmitted to the user point
and then employed for space or water heating.
As electric generating capacity becomes more constrained in the Pacifc Northwest, additional generating
capacity will primarily be natural gas fired. While siting additional hydro or coal-fired generating faciliies,
may be nearly impossible, those already in place with continue to operate a generally full capacity for
many years to come. Direct use will mitigate the need for future generating capacity. If more homes and
businesses use natural gas for heating and commercial applications, then the need for additional
generating resources wil be mitigated. And at times of excess capacity, water storage normally used for
generating power, can be released for additional irrigating, aquifer recharging, fish migration, and
navigation uses.
This more effcient, direct use obviously translates into a much lower carbon footprint. Below is a
discussion of coal-fired electricity, which makes up a sizeable portion of our region's power supply.
Coal-fired, sub-critical steam power plants such as Jim Bridger 40% effcient at best (a 40% heat rate).
The typical sub-bituminous coal used there has a heat-content of 18 millon Btu's per ton (9,000 Btu's per
pound). When burned, this ton of coal produces over 3,700 pounds of C02 into the atmosphere (1.85 Ibs
61
of C02 per pound of coal burned). At the facilty's 40% heat rate, for each kilowatt-hour (3,413 Btu's) of
electricity produced, 8,532.5 Btu's worth of coal, or about .948 of a pound of coal must be burned. So, 1
kwh of electricity from Bridger emits 1.751bs of C02. To deliver the same amount of energy to the natural
gas direct user (3,413 Btu's), requires .03413 of a therm of natural gas, emitting .41 of a pound of C02
when burned. So, natural gas used directly instead of coal-fired electricity has a 76% smaller carbon
footprint than the electricity from a coal-fired plant.
Now, let's consider natural gas powered electrical generation plants:
Natural gas fired combustion turbines like Danskin, are generally 60% effcient at best. Furthermore,
transmission and distribution losses can total another 5 - 10%. Effectively, half of the energy originally
contained in the natural gas has been lost before arriving at the point of use. High-effciency natural gas
furnaces are rated at up to 96% effciency. New gas water heater effciency standards provide for 60% to
80% effciency. In terms of the carbon footprint, the therm of natural gas (100,OOObtu's) delivered and
burned at the user source emits roughly 12 Ibs of C02 into the atmosphere. The equivalent amount of
electricity, 100,000 Btu's, or just under 30 kilowatt hours delivers emits roughly 24 Ibs of C02, again
considering a 60% generating plant heat rate and 10% transmission line losses. So, in this case, direct
use of natural gas, where possible, has a 50% smaller carbon footprint than electricity from a natural gas-
fired plant.
So, from a resource and environmental basis, direct use makes the most sense. More energy is
delivered using the same amount of natural gas. Thus, lower cost and lower C02 emissions are spread
out over a far wider airshed. This direct, and therefore more-effcient, natural gas usage wil serve to
keep natural gas prices, as well as electricity prices, lower in the future. Our success in marketing to
Idaho's residential new construction market, where we have nearly a 100% penetration rate along our
service mains, is a prime of example the direct use of natural gas.
The following example illustrates the significant role that Intermountain plays in southern Idaho's total
energy picture. IGC has over 270,000 space-heating residential customers that use an annual average
555 therms (a therm is 100,000 Btu's of heat.). That equates to a total residential heating load of
approximately 150,000,000 therms per year. If the total was used at the Federal effciency minimum of
78%, then 11,700,000,000,000 Btu's were generated (150,000,000 therms X .78 = 117,000,000 therms X
100,000 Btu's/therm). There are 3,412 Btu's in a kilowatt-hour. At 100% effcient electric resistance heat
efficiency, this means that the IGC residential space-heat customers would use the equivalent of
3,427,073,857 kilowatt-hours (11,700,000,000,000 Btu's /3,412) in a year to heat their homes. This is
the same as 3,427,074 megawatt hours of power saved, year in, year out. According to their 2006 Annual
Report, website, Idaho Powets total annual residential megawatt hour sales for 2006 were 5,068,000.
Were the aforementioned 270,000 IGC residential customer using electric space heat, Idaho Power's
total residential sendout would rise to 8,495,074 mWh, a 68% increase, requiring additional generation
and transmission facilities.
In peak terms, if these 270,000 IGC customers had electric furnaces with 25kw capacity, and just 1/3 of
them were operating simultaneously during a cold-weather winter peak, there would be an additional
winter peak load of 2,250 megawatts. Again, accrding to their website, Idaho Power Winter recently
experienced a 2008 winter peak load of 2,461 megawatts. Without the direct use of natural gas to heat
these 250,000 homes, Idaho Powets winter peak load could reach 4,711 megawatts, a 91 % increase!
This additional 2,250 megawatt peak load would be the equivalent of nine 250 megawatt natural gas-fired
electric generating facilties all running at full throttle. This would probably also require a substantial
increase in transmission facilties to handle this peak load, since it would be well above the Idaho Power
Summer 2007 peak of 3,193 megawatts.
In terms of recently-shed electric load, just since 1991, IGC has converted 27,200 residential electric
heating customers to natural gas. Using the space heating consumption rates shown above, these gas
conversions save about 345,000 megawatt hours of residential sendout per year. In winter peak terms,
using the "1/3 operating simultaneously" example in the paragraph above, 227 megawatts of peak load is
saved. This "year in, year out" electrical conservation is realized at no cost to the electric customers in
Southern Idaho. If residential natural water heating were included, the annual sendout figures would rise
by at least 25%.
62
In terms of summer energy consumption, IGC residential water heaters also provide significant relief to
the ever-growing hot weather electric demand. IGC has over 188,000 RS-2 (space and water heat)
customers. If, instead these were 188,000 electric water heaters each rated at 9,000 watts, or 9kW, this
would amount to 1,692 megawatts of total load. If this total amount was treated as shifted or curtailed,
per the Utah Power and Light irrigation load control credit rider of a couple years ago, the credit value
would have ranged from $1,624,320 in September to $3,790,080 for July. But the summer water heating
load curtailment and shifting provided by the IGC water heater customers has come at no cost to electric
utilities or their customers.
Conclusion
Ever-increasing and more pervasive energy standards and practices wil continue to improve the energy
effciency of Intermountain Gas Company's customers. Intermountain wil continue in its active role
promoting the wise and effcient use of natural gas. The wise, direct use of natural gas in the coming
years wil help keep overall energy costs down in southern Idaho, help protect the environment, and
ensure ample, lower-cost electricity for its many other valuable uses.
63
Intermountain Demand-Side Management Process
Demand-side Management (DSM) relates to any actions, programs or efforts enacted by a utility
company that is intended to change or influence the quantity or pattern of energy consumed by its
customers. DSM programs normally incorprate the analysis, selection, and potential deployment of
available effciency measures. Natural gas related DSM measures most often include consumer behavior
modification, building and/or envelope improvements and the installation of higher-effciency natural gas
equipment.
One particularly important consideration is the method used to compare the economic cost/savings of a
particular DSM against other available potential measures and the cost of traditional supply resources.
More to the point, how does one compare the cost savings of reduced demand relating to the
employment of a given measure against the cost of building additional infrastructure or purchasing
incremental pipeline capacity and more of the natural gas commodity? The Total Resource Cost (TRC)
test is one of the more commonly used among several different widely-used DSM measures. TRC is
calculated by dividing the capitalized total annual cost of a DSM measure by the annual therms saved
over the expected life of that measure. Peak therm savings can also be evaluated using this approach.
In either instance, the per-unit cost of reducing demand growth can be compared against the per-unit cost
of other DSM measures and/or against the cost adding incremental supply-side resources. Again, both
year-round or a peak-day energy savings can evaluated using TRC.
In 2007, IGC began an evaluation of its natural gas effciency and conservation opportunities. The
purpose of this process was two-fold: 1) to ascertain whether achievable and economically viable DSM
could provide a reliable resource in IGC's peak-load management, and 2) to faciltate year-round
improvements in natural gas usage. The Intermountain Gas Company DSM process consists of four
steps:
1. Establishment of broad DSM Objectives
2. Ascertain and address a full spectrum of DSM opportunities
3. Perform an assessment of DSM programs
4. Select and design programs for pilot testing and later, possible deployment
DSM Objectives
From the very outset, Intermountain realized that any DSM activities must be managed by a set of broad-
based objectives agreeable to all parties. After a thorough analysis, the Company determined that its
DSM program would be governed by the following objectives:
1 . Provide customer service
2. Accommodate high effciency and off-peak load growth
3. Limit the need for new staffng resources
4. Maintain Intermountain's competitive position as a low-cost energy provider
5. Provide environmental benefits
6. Focus solely on the most cost-effective DSM measures
Addressing a full spectrum of DSM Opportunities
Intermountain performed previous DSM analyses in the early and mid-90s. Through those efforts and its
participation in regulatory procedures and evaluations, the Company gained an understanding of the
various factors and processes involved. At the conclusion of those studies, it was not clear that DSM
made sense for IGC for a variety of reasons. As a result, the IPUC ordered IGC not to deploy any new
core-market DSM programs.
Intermountain continues to encourage its customers to use high-effciency equipment and employ efficient
energy usage practices. As well, the Company continues its efforts to remain familar with DSM trends
and developments.
64
To this end, in 2007 IGC engaged Navigant Consulting, of Philadelphia, (Navigant) to assist in the
discovery and evaluation of the full spectrum of DSM opportunities then available. An importnt
requirement of Navigant's work was that only established, natural gas DSM measures being employed by
other gas utilties were to be catalogued and evaluated.
Assessment of Potential DSM Programs
IGC provided Navigant with customer segmentation and distribution data, service-area market
assumptions, and other pertinent data. Navigant's work was very thorough. A number of various
measures were listed, along with their various costs, market deployment potential, peak savings, and
year-round gas savings. The identified DSM programs were also broken down by their market potential
in the geographically-specific constrained laterals, as previously outlned and described in this document.
The programs identified in Navigant's report generally include insulation and ductwork improvements,
appliance effciency upgrades, ventilation upgrades, improved windows, and other building envelope
measures.
Screening and Ranking
Intermountain determined to first consider programs which would not duplicate other programs, would not
be redundant with regard to codes or other regulations, and would provide truly incremental energy
savings. Cost-effectiveness was important, but the selected measures had to also impact the greatest
number of customers and affect their most significant gas usage.
Measures such as building envelope improvements (windows and insulation) will have a less direct
impact on natural gas usage. It's assumed that a tightly-sealed, better-insulated home wil use less gas
for space heat, but the gas-usage impact of such an upgrade is going to be more variable, and a litle
harder to quantify. On the other hand, appliance effciency upgrades have a more direct usage impact
which is more readily quantified. Furthermore, appliance effciency upgrades, namely furnace and water
heaters, fit in with IGC's ENERGY STAR Utility Partner efforts.
While most of the measures in Navigant's group provided cost-effective, year-round gas savings, none
had any meaningful effect on IGC's peak demand. Nonetheless, significant year-round energy effciency
is important.
DSM Program Selection and Design
IGC's potential DSM programs target the residential market segments consisting of new construction,
existing homes who switch to natural gas from other energy sources (conversions), and our existing
customers. There are some geographical particulars with regard to weather and our system capacity. As
a consequence, DSM approaches and programs will be devised and deployed within this framework.
New Construction
As previously mentioned, building techniques and codes, and improved appliance technology have
resulted in homes using 32% less gas than in 1980. This is the market. Additional upgrades, such as
ENERGY STAR, typically provide monthly utility cost savings that outweigh the additional monthly
mortgage payment to cover their added cost. Therefore, new-home buyers already have a financial
incentive to include higher energy effciency features in their new home.
Since these new-construction effciency measures already offer a significant financial incentive, IGC
proposes to continue its promotion of high-effciency new construction in our advertising, builder
association participation, and through our ENERGY STAR Utility Partner .activities. This market-based
approach makes the most sense in the new-construction arena.
Conversions
65
IGC wil continue to offer the $200 rebate when a homeowner converts to natural gas from another
energy source, and installs a 90%-or-greater effciency natural gas furnace. IGC is evaluating and
considering a $30 rebate when a homeowner converts to a natural gas water heater from another energy
source, and installs a ~64-or-greater energy factor (EF) gas water heater.
Existing IGC Customers
IGC is evaluating and considering offering a $200 rebate when an existing customer replaces a below-
90% effciency natural gas furnace with a 9O%-or-greater effciency natural gas furnace. IGC is also
evaluating and considering a $30 rebate when an existing customer replaces a .59-or-below EF natural
gas water heater with a .64-or-greater EF natural gas unit.
Implementation
The additional programs - water heater conversions, and the furnace/water heater upgrades would be
deployed in a pilot program on the Idaho Falls lateral in Calendar 2009. This pilot approach allows for
evaluation of the market acceptance of the particular programs, and the opportunity to adjust the
programs and develop effcient administration routines. Expansion could come later, based on the pilot
program's results. The furnace conversion program is already in place, company-wide.
Our advertising promotion of high-effciency new homes and ENERGY STAR could begin as early as
Summer 2008.
66
RESOURCE OPTIMIZATION
Introduction
Intermountain's IRP utilizes an optimization model that selects resources over a pre-determined planning
horizon to meet forecasted loads by minimizing the present value of resource costs. The model
evaluates and selects the best mix of supply and transportation resources utilzing a standard
mathematical technique called linear programming.
This summary wil first describe the model structure and its assumptions in general. Initial results wil then
be discussed.
Data Components of the Model
The optimization model has three basic data components:
· Demand forecast (See Exhibit 8, Appendix B)
· Supply resources (See Exhibit 8, Appendix C)
· Transportation resources (See Exhibit 8, Appendix D)
Underlying these three components is a model structure incorporating demand side management,
transport capacity (arcs) and demand areas (nodes) which mirror how the Intermountain Gas delivery
system contractually and operationally functions (see below). In any IRP model, there must be a balance
between modeling in suffcient detail to capture all major economic impacts while at the same time,
simplifying the system so that the model operates effciently and the results are understandable and
auditable. Since Intermountain's model evaluates gas supply and capacity additions over a 5 year period,
only major elements need to be recognized. This is in distinction to a dispatch model that needs to
balance every detail precisely and so requires a level of detail that is fully representative of all system
requirements. For this reason, a more simplified structure is utilzed in the IRP modeL.
Model Structure
The following table and graphic presents the demand and supply nodes and transport arcs of the IRP
modeL.
Area # 1 2 3 4 5 6 7 8 9 10
Name Sumas Stanfield North South NIT IMG All Canyon Idaho Sun
Green Green Other Countv Falls Vallev
All Other I I Canyon CO. II Idaho Falls
I Sun Valley I~
""i
I
Sumas
I~\I ~i-- IMG .-
I ~ (Pool)
Stanfield N. Green
..
I S. Green I
67
Demand Areas and Forecast
Four demand areas, or nodes, are designated: Canyon County area, the Sun Valley and Idaho Falls
Laterals and the All Other area. The Idaho Falls, Canyon County and Sun Valley nodes reflect all loads
served off of specific "laterals. and/or gate stations with finite capacity. These are modeled separately in
order to facilitate the evaluation of distribution capacity enhancements for those nodes. The All Other
area represents all demand points outside of those specific areas with potential for constraint.
The model utilzes a true load duration curve (LDC) to represent the demand forecast meaning that the
demand data is sorted from the highest period usage to the lowest. The LDC approach is utilzed for an
IRP rather than a chronological approach to capture the general forecasting problem of planning for peak,
shoulder and base demand in distinction to short term or daily dispatching. The graphic below depicts the
LDC for the total system in FY09. Design and Normal weather, three price forecast and three projected
customer-growth scenarios are used to model forecast load requirements.
To simplify modeling, the LDC was aggregated into 12 periods with similar load characteristics and then
each of those period loads were averaged. The resultant demand curve represents load changes over
the entire year but with a minimum of data points (see Exhibit No.8, Appendix A). The bold horizontal
lines in the figure below provide an example of how the LDC looks after the aggregation and averaging is
performed. The optimization model utilzes four separate LDC's so as to separately represent the All
Other, Sun Valley, Canyon County, and Idaho Falls demand characteristics. The model recognizes that
Intermountain must provide gas supply and interstate and distribution transportation for core and LV-1
customers but only interstate and distribution capacity for T-1 and T-2 customers. It also is programmed
to compute that the T-4 customers' loads only require Intermountain's distribution system capacity. The
industrial customer forecast is not load-shaped but reflects the aggregate firm industrial CD for each
period in the LDC.
LDC Chart
The following graph depicts the Design Base Case LDC after the data is aggregated into homogenous
groups. Each aggregated "level" reflects one period modeled in the optimization model although the
model stil recognizes the number of days in each period and computes the total flow per period.
Intermountain Gas Company's 2009.13 IRP
2009 Design Wx Daily LDC vs Aggregated LDC
500,000
450,000
~400,000
t350,000
300,000 i ..
:i "i..i 250,000 i ,
:¡.. ..
..i200,000
~..150,000 . .1
100,000
50,000
0
1 16 31 46 61 76 91 106121136151166181196211226241256 271286301316331346 361
Chronological Days
I. . Daily LDC -- Aggregated LDC I
68
Supply Resources
Resource options for the model are of three types: supply resources, storage contracts and DSM inputs
and all are utilzed in a similar manner. All resources have beginning and ending years of availabilty,
period of availability, period and annual flow capability and a peak day capability. Supply resources have
price information entered in the model over all points on the load duration curve for the study period.
Additionally, information relating to storage resources includes injection period, injection rate, fuel losses
and other storage related parameters are included.
Each resource must be designated from a supply area. One advantage of citygate supplies, certain of
the storage facilities and DSM is that they do not utilize any of Intermountain's existing interstate capacity
as the resource is they are sited within a demand area node or are bundled with their own specific
redelivery capacity. Supply resources from British Columbia are delivered into the Northwest system at
Sumas while Rockies supplies are received from receipt pools known as North of Green River and South
of Green River. Alberta supplies are delivered to Northwest's Stanfield interconnect utilzing available
"Upstream" capacity. Each supply utilzes the appropriate transport arc(s).
From a model perspective, the DSM resources are considered a subset of supply resources and fill
demand needs on the applicable node by offsetting other supply resources. These resourcs are
assignable to a specific node to essentially offset demand in any or the demand regions. These
resources have costs and resource capacity that was determined by a separate DSM analysis (Navigant).
Transport Resources
Transport resources are contracts for interstate capacity such as those with Northwest Pipeline (NWP),
three separate pipelines that deliver gas supplies to the NWP interconnect called Stanfield (for modeling
purposes these pipelines are treated as one and are called "Upstream" capacity), or for distribution
system nodes such as the IFL. Transport resources are explicitly associated with arcs in the model which
represent the flow of supplies from specific receipt areas to Intermountain's receipt pool called IMG (IMG
is a general pooling point where all external gas supply is first delivered before it flows to the four system
nodes.) For example, supply resources to be delivered from Sumas to Idaho Falls, first must use the
Sumas to IMG arc and from there flow to the Idaho Falls arc. Supplies such as Nampa and Rexburg LNG
or DSM are already located on the Intermountain system at a specific demand lateral and only use
distribution capacity. The system representation recognizes Northwest's postage stamp pricing and
capacity release.
Transport resources have a peak day capabilty and are assumed to be available year round unless
otherwise noted. Transport resources can have different cost and capabilities assigned them as well as
different years of availability. For example, different looping options for the Idaho Falls lateral are
available to the model at different periods to faciltate the flexibility of timing decisions.
Model Operation
The selection of a best cost mix of resources, or resource optimization, is based on the cost, availability
and capability of the available resources as compared to the projected loads at the nodes. The model
chooses the mix of resources which best meet the optimization goal of minimizing the present value cost
of delivering gas supply to meet customer demand. The model recognizes contractual take commitments
and all resources are evaluated for reasonableness prior to input. Both the fixed and variable costs of
transport, storage and supply can be included. The model will exclude resources it deems too expensive
compared to other available alternatives.
The model can treat fixed costs as sunk costs for certain resources. If a fixed cost or annual cost is
entered for a resource, the model will include that cost for the resource in the selection process that wil
influence its inclusion vis-à-vis other available resources. If certain resources are committed to and the
associated fixed cost will be paid in any event, only the variable cost of that resource is considered during
the selection process. However, any "new" resources, which would be additional to the resource mix, wil
be evaluated using both fixed and variable cost.
69
The model operates in a PC environment. Inputs and outputs are in a spreadsheet format. The
optimization is performed by PC linear programming softare.
Once the model computes the best resource mix, it writes the results to spreadsheet files, which are then
organized by a set of macros in a summary spreadsheet.
Special Constraints
As stated earlier, the model minimized cost while satisfying demand and operational constraints. Several
constraints specific to Intermountain's system were modeled in the IRP modeL.
· Both LNG storage and DSM do not require redelivery transport capacity. Both SGS and LS storage
are bundled with firm delivery capacity; transportation utilzation of this capacity must match storage
withdrawal from these facilties.
· The T-1 and T-2 customers' transportation requirements are met utilizing interstate and distribution
capacity but no supply resources are provided.
· The T -4 customer transportation requirements utilze only Intermountain's distribution capacity.
· Traditional resources destined for a specifc lateral node (e.g. IFL) must be first be transported to the
IMG pool and then from IMG to the lateral node.
· Non-traditional resources such as mobile LNG that are designed to serve a specific lateral are
employed only when lateral capacity is fully utilzed.
Model Results
The Design Weather optimization model results for the five-year study, FY09 through FY13, are
presented and discussed below. The results of the model are summarized, by demand scenario, by four
types of tables:
· Resource Utilization Table
· Transport Utilization Table
· Storage Injection Table
· Annual Cost Summary
To refer to these tables please see: Base Price, Base Case Growth (Exhibit 8, Appendix E); High Price,
Low Growth: (Exhibit 7, Appendix F); and Low Price, High Growth Scenario: (Exhibit 7, Appendix G):
Each of these tables wil be discussed below for years 1 and 5. The changes in model results between
years 2 through 4 are presented in summary fashion only but are available for review in the applicable
appendix; however, a full discussion for those years is not presented in this document.
Resource Utilzation - General
The Resource Utilization Table for each scenario found in Exhibit NO.8 provides usage information on
supply and resources available to Intermountain. Column 1 corresponds to the resource number. Column
2 corresponds to a resource acronym, which the model utilizes for printouts. The next column identifies
the arc to which the resources are delivered to Northwest (or upstream arc where applicable). For
example, the Sum-A resource is delivered to NWP at Sumas.
The utiization rates are the most important data determined by the modeL. These rates specify the
percent of capability that the model determines are optimal for a resource in each period. The utilization
rate by period for a resource multiplied by the resources capability in MMBtu per day basis adjusted fora
loss factor results in the daily capacity of that resource that is utilized by period, columns 13 through 18.
The total column represents the simple sum of the daily capacities utilized. Note that total gas flow
70
utilized per period is the capacity utilzed per day times the number of days in a period and is contained in
other detail tables.
There are generally three types of supply resources; existing supply contracts, existing storage contracts
and incremental/spot contracts. Transport resources include both Northwest and Upstream capacities (to
bring Alberta supply to NWP at Stanfield) as well as the capacities for the four regional segments on the
Intermountain system. The following sections wil summarize the utilization of each type of supply and
transport resource for the model years 1 and 5.
The model selects the best cost portolio based on relative variable cost pricing. However, it also has
been designed to comply with operational and contractual constraints that exist in the real world (i.e. if the
most inexpensive supply is located as Sumas, the model can only take as much as can be transported
from that point). It should also be noted here that in order for the results to provide a reasonable
representation of actual operations, all existing resources that have committed must take contracts are
assigned as "must run" resources. Other resources are evaluated only by variable cost. One observation
is that particularly during the early years, the committed must-take supplies exceed demand in the off
peak months. In the real world, these volumes are sold into the market at the then prevailng prices
whereas the model only identifies those volumes and cost thereof.
Another important assumption regarding "Fill" supply is that it is treated as an economic commodity
meaning that its availability is dynamic. The model can select available Fill supply at any node, for any
period and in any volume that it needs up to capacity constraints. To ensure that the model provides
results that mirror reality, these supplies have been aggregated into peak, winter, summer and annual
price periods. Each aggregated group has a different relative price with the peak price the highest and
the summer the lowest. Additionally, since term pricing is normally based on the monthly spot index
price, no attempt has been made to develop fixed pricing for incremental term contracts but each
incremental supply includes a market premium amount. The Fil resources provide intellgence as to
where and how much of new resources will be needed.
The transportation utilization table provides the same type of information for transportation resources and
is shown in a similar format as the resource utilization table. Each transportation resource has a resource
number and acronym. In addition, the receipt (from) and delivery (to) points associated with each
transport arc are listed in columns 3 and 4. Columns 5-10 show the transportation utilization rate output
from the model and represent the percent of total resource available that the model utilzes by period.
These utilzation rates multiplied by the transport capabilty determine the daily transport capacity utilized
by period as shown in columns 13-18.
Again, the incremental transportation "Fill" contracts are being treated as "commodity" resources in that
the model can utilize this capacity in the period it needs it, but in somewhat limited volumes. The current
assumption of on-demand incremental transport is likely not "real-world" since it would generally only be
readily available on demand in the summer. But, selection of this type of resource in a peak or winter
period would generally indicate the need for a term contract of some nature. As most available capacity
found in today's world comes via capacity release, a
Transportation resources fall into four categories: existing, Lateral capacity, storage, and incremental
resources. The existing resources are labeled ES (NWP) or PGT. Lateral expansions demonstrate the
need for their implementation by the change in utilization rates over time.
The storage injection table provides the amount of resources injected into the various storage facilities.
Just as storage may only be withdrawn in the peak and winter periods, injections may only occur in
winter, reflecting the actual withdrawal cycle in the winter and the injection cycle in the summer. The
injection rate multiplied by the injection MMBTU and the loss factor results in the net MMBTU injected by
period.
71
Resource Optimization Summary Results
While Intermountain has completed runs for all demand scenarios discussed in this document, all of the
following year-by-year comparisons are based on the design weather, base price, base growth Le. Base
Case run.
Design Base Case - Year 1
Supply Resources
The existing supply resources (contracts 1 - 8) have utilzation rates of 1.0 (or 100%) for all applicable
periods meaning that these resources are utilzed at maximum capacity in all demand periods. This is
due to contractual take obligations and follows real-world constraints. Resources 25-28 represent the
industrial interstate transportation requirements are at maximum and are included to ensure that
interstate transportation capacity is available for these firm transportation customers. Resources 1, 7, 9,
29, and 30 are delivered at IMG (Le. citygate) and reflect gas delivered directly to Intermountain which
does not utilze any interstate capacity.
A significant amount of spot-type supply from all supply basins (Resources 28, 41, 46, 51 and 55) is
utilized during periods 1-8. Rockies spot (28, 46 and 60-62) are heavily utilzed all year long. These
resources have prices tied to the applicable basin index prices (calculated from Nymex Futures prices
plus or minus the appropriate basin differential). These resources are selected by the model only afer
existing contract supplies are utilzed and are arc specific meaning that all existing interstate capacity is
used before the "purchases" new capacity. Note that these additional supplies use up all the remaining
interstate capacity during periods 1-6 and Rockies capacity is fully utilzed through period 8 which may
suggest the Company could look to further increase its term supplies through these periods.
Storage Resources
The swing storage faciliies (12, 14 and 18) are not fully withdrawn but average just over 80% withdrawal;
all annual minimum withdrawals are achieved. The baseload contracts (19 and 20) are fully utilzed. The
liquid storage at Plymouth, WA (16 and 17) show withdrawals totaling 353,000 MMBtu or 32% of the total
inventory. Intermountain's LNG facility has zero withdrawals. As loads continue to grow, further
utilzation of these facilities can be expected.
All storage except LNG is fully withdrawn during the peak day. As described above, injections may only
occur in the summer period and after factoring in fuel losses, total injections match the withdrawals in the
other periods for each facility. Although the storage cycle can overlap years (e.g. injections could actually
occur in a subsequent year) in the real world, the nature of this model has resulted in a closed system
where net injections must equal net withdrawals.
The satellte storage facility on the IFL shows total withdrawals of 9,321 MMBtu or approximately 10% of
the total inventory.
DSM
All of the IFL pilot DSM is utilzed; however, as it is calculated in therms and the year 1 amounts are
relatively small, it does not show up in the summary report which shows volume in MMBtu.
Capacity
All existing NWP firm capacity is fully utilized for the peak period, which implies that absent any additional
storage withdrawal capacity, Intermountain would require incremental capacity. No deficits occur on any
the focus zones.
72
Annual Cost Summary
The last two pages of each year shown in the Appendix in Exhibit 8 summarizes the variable cost of the
supply and capacity resources selected by the models. Per Exhibit 8, Appendix E, the grand total of all
FY09 variable resource costs are $332 milion.
Design Base Case - Year 5
Supply Resources
The existing supply resources (contracts 1 - 8) stil have utilization rates of 1.0 (or 100%). The industrial
Resources 25-28 are also at 100%. Resources 1, 7 and 9 are delivered at IMG (Le. citygate) and are
also fully utilized.
A significant amount of spot-type supply from all supply basins (Resources 28, 41, 46, 51 and 55) is
utilized during periods 1-8. Rockies spot (28, 46 and 60-62) are heavily utilzed all year long. Note that
these additional supplies use up all the remaining interstate capacity during periods 1-7 and in fact the
model selects an additional 7,500 MMBtu from Alberta in periods 1-8 meaning that there is no excess
capacity available during those periods.
Storage Resources
The swing storage facilities (12, 14 and 18) are almost fully withdrawn and the baseload contracts (19
and 20) are fully utilized. The liquid storage at Plymouth, WA (16 and 17) show withdrawals totaling
492,120 MMBtu or 45% of the total inventory. Intermountain's LNG facility has zero withdrawals. If loads
continue to grow, the only existing resources left are the Plymouth and Nampa liquid storage.
All storage except LNG is fully withdrawn on the peak.
The satellte storage facility on the IFL shows near maximum withdrawal in periods 1-2 and tota.1
withdrawals of 48,082 MMBtu (or approximately 51 % of the total inventory). No other fill-type resources
are needed on the SVL and CCA.
DSM
Again, all available DSM is utilzed which totals 2,025 MMBtu for Year 5. The five-year total usage is
5,023 MMBtu.
Capacity
All existing NWP firm capacity is fully utilzed for periods 1-6. Rockies capacity is at near 100% usage
through period 10. Stanfield is at full capacity through period 8 and in fact, as noted above, the model
selects and additional 7,500 MMBtu/day through period 8. No deficits occur on any the focus zones.
Annual Cost Summary
Per Exhibit 8, Appendix E, the grand total of all FY13 variable resource costs are $352.6 millon.
73
COMPARATIVE ANALYSIS
2008 IRP vs. 2006 IRP
Residential and Commercial Growth Forecast
The methodology used to calculate residential and commercial customers for the 2008 IRP is in respects
consistent with that same rigorous approach used in the 2006 IRP. However, customer growth in the
2008 IRP is forecast to be more moderate than in the 2006 IRP, mainly due to the downturn in housing
construction. On average, the forecst annual growth from 2009 through 2013 is 30% less than that
which was forecast for the preceding 2007 - 2011 IRP. The current five-year customer growth is now
forecast at an annual rate of 3.0% compared to 4.5% in the previous IRP. The 2009 beginning customer
figure of 295,169 per the 2008 IRP is 24,145 customers lower than the 2009 projection of 319,314 found
in the 2006 Plan.
Usage per Customer with Design Degree Days
The method of calculating the design degree days in the 2006 IRP was largely the same, except for the
peak day calculation and the 4 days surrounding the peak day. For more information on design degree
day calculations see "Heating Degree Days and Design Weathet' on page 22.
The usage-per-customer calculations for the 2006 IRP were based upon data from 1989 through 2005.
The 2008 IRP filing makes use of two additional years of data and therefore includes data from 1989
through 2007. Price Elasticity was not a signifcant explanatory variable in the 2006 IRP filing. As noted
in this filing, however, it has become a significant explanatory variable in the summer and shoulder
months. Intermountain did not have enough data available for the 2006 filing from the Sun Valley and
Idaho Falls laterals to enable the Company to correlate usage and weather for those two unique areas of
the service territory. Although there was still not enough data available to calculate statistically significant
lateral specific usage equations, Intermountain was able to use the data to make refinements to the peak
day usage per customer equation for the Sun Valley lateraL.
Industrial Forecast
There is now, and will probably remain, a movement toward energy conservation to maximize industrial
production and output in order to stay competitive. The industrials must get the most production from
their invested capital and hold the line on prices in anyway possible. Many of Intermountain's customers
are using the Intermountain Gas Industrial Website to assist with this effort as they can immediately know
whether a process adjustment or other improvement is actually saving them energy. The Customer
Demand (CD) forecast reported in this 2008 IRP shows a continued decline although, not as much as in
the 2006 IRP. We have found that the agricultural markets as well as the declining economic conditions
have made the greatest influence. However, there is a mixture of forecast increases and decreases
across the market segments (see Attachment NO.1, tables 1.1 and 1.3).
The Chemical segment continues to increase as the costs of raw materials for fertilizer is stable but the
cost of transportation has made the domestic supplies more attractive than importing. As in the last few
years, while natural gas prices remain at relatively high levels relative to those experienced prior to 2005,
prices of other alternative fuels have also risen, reducing the economic incentive to switch back and forth
to take advantage of price differentials as many of Intermountain's industrials are able to do. This has
helped to mitigate some of the price driven demand-destruction that has occurred among the industrial
classes.
The Idaho Dairy Industry continues to show strength as it is a great place to produce cheese and other
dairy related products. Currently several companies are talking about building new plants and some of
the existing plants are talking of expansions.
74
The Company will continue to be active in managing this market as in general, a reduction in industrial
CD may forestall the timing of capital enhancements to Intermountain distribution system and also may
provide the Company with an alternative to purchasing new interstate capacity to serve the growing core
market.
Load Duration Curves
The total company core market peak send out forecast for 2009-2011 is lower than 2006's IRP by a range
of 17.2% - 19%. The overall peak day sendout for the same period is slightly less at a 16.7% - 18.4%
decrease (see.Attachment 2, Table 2.3). The 2008 IRP reflects no peak day firm delivery differences for
2009, but reflects an increase in 2010 and 2011 by 11.5% and 11.7%, respectively. Storage deliveries
are projected to increase by 26.7% per day in 2009 over the 2006 IRP and 25.4% in 2010 and 2011 (see
Attachment No 3. 3, table 3.3). Without additional interstate capacity or some type of winter-peaking
supply, the number of days exceeding peak deliverability decreases by 2 days in 2009 and 2010, and 3
days in 2011 under design weather conditions when compared to the 2006 IRP (see Attachment No.4,
table 4.3).
Idaho Falls LateraL. The 2008 IRP reflects a decrease in peak demand of approximately 4.5% each year
when compared to the 2006 IRP (see Attachment No.5, Table 5.3). Due to capacity additions the peak
day deficit projected occurrences decreased to 0 from 2009 through 2011 from the 2006 IRP (see
Attachment No.6, Table 6.3).
Sun Valley LateraL. Peak loads decrease by 3% - 5% for years 2009-2011 when compared to the 2006
IRP. The fact that there is no growth in industrial CD highlights the decrease in core market growth in this
region (see Attachment NO.7, Table 7.3). There are minor deficits only on the peak day in 2009 and 2
days in 2010 when compared with the 2006 IRP. However, the Gate Station rebuild project wil enhance
deliverabilty slightly, resulting in 0 deficits. Additionally, in 2011 there is a planned compressor station
which wil add additional capacity, removing any further peak deficits (see Attachment No.8, Table 8.3).
Canyon County. Peak load usage waned greatly compared to 2006 IRP projections. In fact, the 2008
IRP showed a reduction in peak day usage by approximately 21.5% on average when compared to the
20061RP. Several system enhancements such as mainline looping and more available throughput at the
interconnection between Intermountain and Northwest Pipeline account for the increased capacity
projections for 2009. You'll note that in the 2008 IRP there are no projected deficits (see Attachment No.
9, Table 9.3).
Traditional Supply and Delivery Resources
The available supply resources for the 2008 optimization model were increased from 70 to 100 allowing
for more alternatives - particularly for DSM inputs -and greater flexibility in meeting system demand. As in
the prior filing, these resources are a mix of term and spot supplies, storage withdrawals, on-system
alternatives (e.g. mobile LNG) and a few resources specific to temporarily reducing industrial demand.
The inputs continue to include third-party interstate "citygate" deliveries and other winter-only supply. As
compared to 2006, this IRP indicates that Intermountain's peak and winter loads are growing faster than
the average daily usage when compared to current winter delivery options; however current peak
resources are adequate through FY13.
Interstate transport resources continue to allow for 30 inputs. The 2006 IRP indicated a need for more
interstate capacity and storage resources. The Company actively monitored the capacity release market
and both new interstate and storage capacity. Therefore, the current model indicates that the current
levels of capacity and storage satisfy the Company's needs through 2013.
Non-Traditional Supply Resources
The 2008 IRP expanded upon the options researched and even the definition of non-traditional resources
when compared to the related section in the 2006 IRP filing. The options included in the 2008 filing
75
include the same researched resources as the 2006 section and also include wood chips, renewable
biofuel production, pipeline looping, remote or satellte LNG, and pipeline uprating. The newly included
pipeline looping and pipeline uprating, along with the compressor station research from 2006, fall into the
recently created sub-section named "Capacity Upgrades"; which is now included in-the Non-Traditional
Supply Resources section.
Distribution System
Intermountain used the same softare utilzed in 2006 to model the pressure and capacity of the
individual distribution systems. This softare has the capabilty to accurately represent a gas pipeline
system by applying user inputs such as customer loads, pressures, dimensions, etc. The results of these
engineering models are then used to determine the effectiveness and effciency of potential system
capacity enhancements for each defined restraint point. As before, the model continues to project the
capacities for any projected scenario on the Idaho Falls Lateral, Sun Valley Lateral and Canyon County
areas; which are then utilzed in the five-year projections.
The Effcient Use of Natural Gas
Intermountain continues to embrace and support the need for effcient use of natural gas, and has
continued its conservation efforts on behalf of its residential, commercial and industrial customers.
By way of example, Intermountain has 1) continued its annual mailing of brochures to all core-market
customers outlning conservation tips and low income assistance, 2) upgraded its website to include more
information on residential and commercial conservation measures, and maintained the abilty for
customers to view their historical therm usage anytime on-line, 3) continued to offer the detailed
conservation DVD video by request to conservation and payment-assistance advisors, as well as
maintaining that video's prominence the company's website, 4) held public meetings in conjunction with
the IRP Planning Process meetings that emphasize conservation, 5) continued to produce and air
television messages emphasizing the importance of natural gas conservation, and giving practical, easy-
to-understand conservation tips, 6) continued to deploy and improve and industrial-customer website
designed to provide real-time and historical consumption data to better enable those customers to make
wise energy management decisions.
In support of high effciency standards, Intermountain has changed its Parade of Homes sponsorship to a
practice wherein the Company now assists the local Building Contractor Associations with promotion of
their respective Parades, including encouragement of high-effciency appliances in the messaging.
Intermountain continues to encourage homeowners to replace older, ineffcient heating equipment
through the furnace rebate program and our mass-media advertising.
Fall 2007, IGC participated in the Energy Resource Symposium, a half-day seminar for energy-assistance
providers and advisors. Held at Idaho Power's headquarters, participants were given information on
various developments in energy payment assistance and utilty payment plans and arrangements. .
Continuing this conservation information outreach, IGC personnel have participated in other such energy
conservation seminars at the Boise Public Library, the Bureau of Land Management, the Department of
Environmental Quality, and at Fort Hall, Idaho, where the Sho-Ban Native American tribe conducted its
own energy symposium.
IGC remains a partner in the Rebuild Idaho energy effciency campaign whose efforts are targeted toward
our state, municipal and county entities, our school districts, and our institutions of higher education.
In the fall of 2007, IGC became an ENERGY STAR Utility Partner. Through this partnership, the
Company wil promote energy effciency in both the new and existing residential markets via the
encouragement of high-effciency ENERGY STAR appliances and equipment, as well as ENERGY STAR
building practices for new single-family and multi-family dwellngs.
76
In March 2008, IGC co-sponsored, along with Idaho Power and the Governor's Ofce of Energy
Resources, the Idaho Building Effciency Conference. Intermountain continues to be an active voice in
Idaho's legislative process as lawmakers consider new, higher-effciency building and energy codes.
Demand-Side Management
In 2007, IGC began an evaluation of natural gas effciency and conservation opportunities. The analysis,
selection, and potential deployment of such measures is known as Demand-5ide Management, or DSM.
The purpose of this process was two-fold: 1) to ascertain whether achievable and economically viable
DSM could provide a reliable resource in IGC's peak-load management, and 2) to facilitate year-round
improvements in natural gas usage.
The Intermountain Gas Company DSM process consists of four steps:
1. Establishment of broad DSM Objectives
2. Ascertain and address a full spectrum of DSM opportunities
3. Perform an assessment of DSM programs
4. Select and design programs for pilot testing and later, possible deployment
DSM Objectives
· Provide customer service
· Accommodate high effciency and off-peak load growth
· Limit the need for new staffng resources
· Maintain competitive position as low-cost energy provider
· Provide environmental benefits
· Focus solely on the most cost-effective DSM measures
Addressing a full spectrum of DSM Opportunities
IGC engaged Navigant Consulting, of Philadelphia, (Navigant) to assist in the discovery and evaluation of
the full spectrum of DSM opportunities. An important requirement of Navigants work was that only
established, natural gas DSM measures being employed by other gas utilities were to be catalogued and
evaluated.
Assessment of Potential DSM Programs
The programs listed in Navigants work included ductwork improvements, appliance effciency upgrades,
insulation improvements, ventilation upgrades, improved windows, and other building envelope
measures.
DSM Program Selection and Design
IGC's potential DSM programs target the residential market segments consisting of new construction,
existing homes who switch to natural gas from other energy sources (conversions), and our existing
customers.
77
New Construction
IGC proposes to continue its promotion of high-effciency new construction in our advertising, builder
association participation, and through our ENERGY STAR Utilty Partner activities. This market-based
approach makes the most sense in the new-cnstruction arena.
Conversions
IGC wil continue to offer the $200 rebate when a homeowner converts to natural gas from another
energy source, and installs a 90%-or-greater effciency natural gas furnace. IGC is evaluating and
considering a $30 rebate when a homeowner converts to a natural gas water heater from another energy
source, and installs a .64-or-greater energy factor (EF) gas water heater.
Existing IGC Customers
IGC is evaluating and considering offering a $200 rebate when an existing customer replaces a below-
90% effciency natural gas furnace with a 9O%-or-greater effciency natural gas furnace. IGC is also
evaluating and considering a $30 rebate when an existing customer replaces a .59-or-below EF natural
gas water heater with a .64-or-greater EF natural gas unit.
Implementation
The additional programs - water heater conversions, and the furnacelwater heater upgrades would be
deployed in a pilot program on the Idaho Falls lateral in Calendar 2009. Our advertising promotion of
high-effciency new homes and ENERGY STAR could begin as early as Summer 2008.
Resource Optimization
Intermountain utilized the same consultant and softare vendor to run the 2008 optimization. The 2008
model was enhanced over the prior program to allow for additional supply, storage and DSM inputs.
The results of the optimization runs indicate that the Company's current resource portolio of interstate
transport and storage capacity along with its term and spot gas supplies, are adequate to meet the
natural gas demands of southern Idaho. It does suggest that reliance on spot or index supplies in the
winter could be replaced with term gas or peaking storage. As for interstate capacity, the current levels of
capacity were fully suffcient through 2012. The model did select a small amount additional "Fil" capacity
in 2013 but did so while leaving some liquid storage not utilzed likely due to price comparison.
Again, when load growth was compared with available distribution system enhancements (e.g. various
pipe and compression upgrades) in concert with minor use of some non-traditional resources, the
resultant overall system capacity was forecast to be adequate to serve all firm loads and eliminate any
capacity deficit thru the 5-year horizon. As well, the optimization model selected all projected distribution
system upgrade options and indicates that for 2009-2013, suffcient resources exist to meet firm the
forecast requirements of Intermountain's customers even under design weather conditions.
78
ATTACHMENT NO.1
Table 1.1
I 2008 IRP Design Base Case Industrial Forecst by Market Segment I(Thousands of Therms)
2009 2010 2011
Potato Processors 82,901 84,578 85,278
Other Food Processors 56,026 56,146 56,161
Chemical & Fertilizer 27,600 27,600 27,600
Manufacturers 24,101 24,225 24,323
Institutions 14,117 14,252 14668
Other 16,505 16,639 16763
Total Base Case Forecast Therm Sales
221,250 223,440 224,793
Table 1.2
I 2006 IRP Design Base Case Industrial Forecast by Market Segment I(Thousands of Therms)
2009 2010 2011
Potato Processors 90,950 91,250 91,400
Other Food Processors 60,330 61280 61430
Chemical & Fertilizer 33,850 33850 33850
Manufacturers 18,500 18,500 1850
Institutions 14,895 15,105 15,140
Other 15,520 15,920 16,320
Total Base Case Forecast Therm Sales
234,045 235905 236,640
Table 1.3
2008 IRP Design Base Case Industrial Forecast by Market Segment
Over/(Under) the 2006 IRP Design Base Case
(Thousands of Therms)
2009 2010 2011
Potato Processors (8,049)(6,672)(6.122)
Other Food Processors (4,304)(5,134)(5.269)
Chemical & Fertilizer (6,250)(6,250)(6.250)
Manufacturers 5,601 5,725 5823
Institutions (778)(853)(472)
Other 985 719 443
Total Base Case Forecast Therm Sales
(12,795)(12,465)(11,847)
79
Total Company Design Weather/Base Growth 20061RP vs. 20081RP Usage Comparison
Table 2.1
2008 IRP LOAD DURATION CURVE. TOTAL COMPANY USAGE DESIGN BASE CASE
(Volumes in Therms)
NWP Firm Peak Day Sendout
Transport Core Industrial
Capacity Market Firm CD1 I2
2009 2,749,590 3,614,703 190,630 3,805,330
2010 2,748,770 3,726,241 190,630 3,916,870
2011 2,751,270 3,837,766 190,630 4,028,400
1Future growth in transport CD is limited to T -4, which does not affec Intermountain's intertate pipeline capacity requirements.
Table 2.2
2006 IRP LOAD DURATION CURVE. TOTAL COMPANY DESIGN BASE CASE
(Volumes in Therms)
NWP Firm Peak Day Sendout
Transport Core Industrial
Capacity Market Firm CD1 Total
2009 2,463,300 4,366,300 201,500 4,567,800
2010 2,463,300 4,551,223 201,500 4,752,723
2011 2,463,300 4,735,871 201,500 4,937,371
1Future growth in transport CD is limited to T-4, which does not affec Intermountain's interstate pipeline capacity requirements.
Table 2.3
2008 IRP LOAD DURATION CURVE - TOTAL COMPANY DESIGN BASE CASE
Over/(Under) 2006 IRP
(Volumes in Therms)
NWP
Firm Peak Day Sendout
Transport Core Industrial
Capacity Market Firm CD1 Total
2009 286,290 (751,597)(10,870)(762,470)
2010 285,470 (824,982)(10,870)(835,852)
2011 287,970 (898,105)(10,870)(908,975)
1Future growth in transport CD is limited to T-4, which does not affect Intermountain's interstate pipeline capacity requirements.
80
Total Company Peak Day Deliverabilty Comparison for 20061RP VS. 20081RP
Table 3.1
20081RP PEAK DAY FIRM DELIVERY CAPABILITY
(Volumes in Therms)
2009
Maximum Daily Storage Withdrawals:
Nampa LNG
Plymouth LS
Jackson Prairie SGS
Total Storage
Maximum Deliverabilty (NWP)
Total Peak Day Deliverabilty
600,000
1,132,000
225,000
1,957,000
2.463.300
4420300
2010
600,000
1,132,000
303,370
2,035,370
2.748,770
4,784,140
2011
600,000
1,132,000
303,370
2,035,370
2.751.270
4786640
Table 3.2
2006 IRP PEAK DAY FIRM DELIVERY CAPABILITY
(Volumes in Therms)
2009
Maximum Daily Storage Withdrawals:
Nampa LNG
Plymouth LS
Jackson Prairie SGS
Total Storage
Maximum Deliverabilty (NWP)
Total Peak Day Deliverabilty
600,000
720,000
225,000
1,545,000
2.463,300
4oo83Qo
2010 2010 - 2011
600,000
720,000
303,370
1,623,370
2.463,300
4086670
600,000
720,000
303.370
1,623,370
2.463,300
4086670
Table 3.3
20081RP PEAK DAY FIRM DELIVERY CAPABILITY
Over/(Under) 2006 IRP
(Volumes in Therms)
2009 2010 2011
Maximum Daily Storage Withdrawals:
Nampa LNG °°°
Plymouth LS 412,000 412,000 412,000
Jackson Prairie SGS ll ll ll
Total Storage 412,000 412,000 412,000
Maximum Deliverabilty (NWP)ll 285.470 287,970
Total Peak Day Deliverabilty 412000 697470 699970
81
Total Company Peak Delivery Deficit for 20061RP vs. 20081RP
Table 4.1
2008 IRP FIRM DELIVERY DEFICIT - TOTAL COMPANY DESIGN BASE CASE
Peak Day Deficit 1
Total Winter Deficit
Days Requiring Additional Resources
(Volumes in Therms)
2009
o
o
o
2010
o
o
o
2011
o
o
o
1 Peaking storage increases by 78,370 therms per day in 2010.
2Equal to the total winter sendout in excess of intertate capacity less total "peaking" storage. Peaking storage does not
require the use of Intermountain's trditional interstate capacity to deliver inventory to the citygate.
Table 4.2
Peak Day Deficit 1
Total Winter Deficit
Days Requiring Additional Resources
20061RP FIRM DELIVERY DEFICIT - TOTAL COMPANY DESIGN BASE CASE
(Volumes in Therms)
2009
358,003
528,911
2
2010
464,553
679,068
2
2011
649,201
1,128,805
3
2Equal to the total winter sendout in excess of interstate capacity less total "peaking" strage. Peaking storage does not
require the use of Intermountain's trditional interstate capacity to deliver inventory to the citygate.
Table 4.3
2008 IRP FIRM DELIVERY DEFICIT - TOTAL COMPANY DESIGN BASE CASE
Over/(Under) 2006 IRP
Peak Day Deficit 1
Total Winter Deficit
Days Requiring Additional Resources
(Volumes in Therms)
2007
(358,003)
(528,911)
(2)
2008
(464,553)
(679,068)
(2)
2009
(649,201)
(1,128,805)
(3)
1Peaking storage increased by 78,370 therms per day in 2008.
2Equal to the total winter sendout in excess of interstate capacity less total "peaking" storage. Peaking storage does not
require the use of Intermountain's traditional interstate capacity to deliver inventory to the citygate.
82
Idaho Falls Lateral Design Weather/Base Growth Comparison for 2006 IRP vs. 2008 IRP
Table 5.1
2008 LOAD DURATION CURVE -IDAHO FALLS DESIGN BASE CASE
(Volumes in Therms)
Existing
Distribution Peak Day 8endout
Transport Core Industrial
Capacity Market Firm CD1 Total
2009 1,000,000 653,250 221,750 875,000
2010 1,000,000 681,300 221,750 903,050
2011 1,000,000 707,330 221,750 929,105
1Existing firm contract demand indudes T-1, T -2, and T -4 requirements.
Table 5.2
2006 LOAD DURATION CURVE -IDAHO FALLS DESIGN BASE CASE
(Volumes in Therms)
Existing
Distribution Peak Day Sendout
Transport Core Industrial
Capacity Market Firm CD1 Total
2009 830,000 693,827 223,030 916,857
2010 830,000 721,430 223,030 944,460
2011 830,000 748,055 223,030 971,085
1 Existing firm contract demand includes T -1, T -2, and T -4 requirements.
Table 5.3
2008 LOAD DURATION CURVE -IDAHO FALLS DESIGN BASE CASE
Over/(Under) 2006 IRP
(Volumes in Therms)
Existing
Distribution
Transport
Capacity
Core
Market
Peak Day Sendout
Industrial
Firm CD1 Total
2009
2010
2011
170,000
170,000
170,000
(40,577)
(40,130)
(40,725)
(1,280)
(1,280)
(1,280)
(46,434)
(41,410)
(42,005)
1Existin firm contract demand indudes T-1, T-2, and T -4 re uirements.
83
Idaho Falls Lateral Delivery Deficit Comparison for 2006 IRP vs. 2008 IRP
Table 6.1
2008 IRP FIRM DELIVERY DEFICIT - IDAHO FALLS DESIGN BASE CASE
(Volumes in Thenns)
2009 2010 2011
Peak Day Deficit1 o o o
Total Winter Deficif o o o
Days Requiring Additional Capacity o o o
lEqual to the total winter sendout in excess of distrbution capacity.
Table 6.2
2006 IRP FIRM DELIVERY DEFICIT - IDAHO FALLS DESIGN BASE CASE
(Volumes in Thenns)
2009 2010 2011
Peak Day Deficit1 86,860 115,420 142,040
Total Winter Deficif 143,980 219,590 326,190
Days Requiring Additional Capacity 2 4 4
lEqual to the total winter sedout in excess of distrbution capacity.
Table 6.3
2008 IRP FIRM DELIVERY DEFICIT. IDAHO FALLS DESIGN BASE CASE
Over/(Under) 2006 IRP
(Volumes in Therms)
2009 2010 2011
Peak Day Deficit1 (86,860)(115,420)(142,040)
Total Winter Deficif (143,980)(219,590)(326,190)
Days Requiring Additional Capacity 0 0 0
IE ual to the total winter sendout in excess of distnbution ca aci
84
Sun Valley Lateral Design Weather/Base Growth Comparison for 2006 IRP vs. 2008 IRP
Table 7.1
2008 IRP LOAD DURATION CURVE - SUN VALLEY DESIGN BASE CASE
(Volumes in Therms)
Existing
Distribution Peak Day Sendout
Transport Core Industrial
Capacity Market Firm CD1 Total
2009 180,000 172,538 8,150 180,688
2010 180,000 175,695 8,150 183,845
2011 180,000 180,230 8,150 188,380
1Existing firm contract demand includes T-1, T-2, and T -4 requirements.
Table 7.2
20061RP LOAD DURATION CURVE - SUN VALLEY DESIGN BASE CASE
(Volumes in Therms)
Existing
Distribution Peak Day Sendout
Transport Core Industrial
Capacity Market Firm CD1 Total
2009 180,000 172,216 8,150 180,366
2010 180,000 181,143 8,150 189,293
2011 180,000 190,374 8,150 198,524
1Existing firm contract demand includes T-1, T-2, and T-4 requirements.
Table 7.3
20081RP LOAD DURATION CURVE. SUN VALLEY DESIGN BASE CASE
Over/(Under) 2006 IRP
(Volumes in Therms)
Existing
Distribution Peak Day Sendout
Transport Core Industrial
Capacity Market Firm CD1 Total
2009 0 322 0 322
2010 0 (5,448)0 (5,448)
2011 0 (10,144)0 (10,144)
1Existing firm contract demand includes T-1, T-2, and T-4 requirements.
85
Sun Valley Lateral Delivery Deficit Comparison for 2006 IRP vs. 2008 IRP
Table 8.1
2008 IRP FIRM DELIVERY DEFICIT. SUN VALLEY DESIGN BASE CASE
(Volumes in Therms)
2009 2010 2011
Peak Day Deficie 688 3840 0
Total Winter Deficit 688 4970 0
Days Requiring Additional Capacity 1 2 0
1Equal to the total winter sendout in exce of distrbuon capacity.
Table 8.2
2006 IRP FIRM DELIVERY DEFICIT - SUN VALLEY DESIGN BASE CASE
(Volumes in Therms)
2009 2010 2011
Peak Day Deficie 370 9,290 18,520
Total Winter Deficit 370 9,290 26,590
Days Requiring Additional Capacity 1 1 2
1Equal to the total winter sendout in excess of distrbution capacity.
Table 8.3
2008 IRP FIRM DELIVERY DEFICIT - SUN VALLEY DESIGN BASE CASE
Over/(Under) 2006 IRP
(Volumes in Therms)
2009 2010 2011
Peak Day Deficit1 318 (5,450)(18,520)
Total Winter Deficit 318 (4,320)(26,590)
Days Requiring Additional Capacity o (2)
lEqual to the total winter sendout in excess of distrbution capacity.
86
Canyon County Area Design Weather/Base Growth Comparison for 2006 IRP VS. 2008 IRP
Table 9.1
2008 LOAD DURATION CURVE - CANYON COUNTY DESIGN BASE CASE
(Volumes in Therms)
Existing
Distribution Peak Day Sendout
Transport Core Industrial
Capacity Market Firm CD1 Total
2009 690,000 519,931 102,500 622,431
2010 690,000 543,845 102,500 646,345
2011 690,000 567,020 102,500 669,520
lExisting firm contract demand includes T-1, T-2, and T -4 requirements.
Table 9.2
2006 LOAD DURATION CURVE -CANYON COUNTY DESIGN BASE CASE
(Volumes in Therms)
Existing
Distribution Peak Day Sendout
Transport Core Industrial
. Capacity Market Firm CD1 Total
2009 690,000 685,184 103,420 788,604
2010 690,000 720,203 103,420 823,623
2011 690,000 755,552 103,420 858,972
lExisting firm contract demand includes T-1, T-2, and T -4 requirements.
Table 9.3
2008 LOAD DURATION CURVE - CANYON COUNTY DESIGN BASE CASE
Over/(Under) 2006 IRP
(Volumes in Therms)
Existing
Distribution Peak Day Sendout
Transport Core Industrial
Capacity Market Firm CD1 Total
2009 (10,000)(165,253)(920)(166,173)
2010 (10,000)(176,358)(920)(177,278)
2011 (10,000)(188,532)(920)(189,452)
lExisting firm contract demand includes T-1, T-2, and T-4 requirements.
87
Canyon County Area Firm Delivery Deficit Comparison for 2006 IRP vs. 2008 IRP
Table 10.1
2008 IRP FIRM DELIVERY DEFICIT - CANYON COUNTY DESIGN BASE CASE
(Volumes in Therms)
2009 2010 2011
Peak Day Deficit1 0 0 0
Total Winter Deficif 0 0 0
Days Requiring Additional Capacity 0 0 0
1Equal to the total winter sendout in excess of distrbution capacity.
Table 10.2
2006 IRP FIRM DELIVERY DEFICIT - CANYON COUNTY DESIGN BASE CASE
(Volumes in Therms)
2009 2010 2011
Peak Day Deficie 98,600 133,620 168,970
Total Winter Deficif 167,870 292,890 431,580
Days Requiring Additional Capacity 2 4 4
1Equal to the total winter send out in excess of distribution capacity.
Table 10.3
2008 IRP FIRM DELIVERY DEFICIT - CANYON COUNTY DESIGN BASE CASE
Over/(Under) 20061RP
(Volumes in Therms)
2009 2010 2011
Peak Day Deficit1 (98,600)(133,620)(168,970)
Total Winter Deficif (167,870)(292,890)(431,580)
Days Requiring Additional Capacity (2)(4)(4)
1Equal to the total winter sendout in excess of distribution capacity.
88
Total Company Firm Receipt Point Capacity comparison for 20061RP VS. 20081RP
Table 11.1
Intermountain Gas Company
2008 IRP Firm Receipt Point Capacity Through 2011
Volumes in MMBtu
Receipt Point 2009 2010 2011
Sumas 41,146 41,146 41,146
Stanfield 115,429 115,429 115,429
Rockies 93,384 93,302 92,552
Storage 195,700 203,537 203,537
Citygate 25,000 25,000 26,000
Total 470,659 478,414 478,664
Table 11.2
Intermountain Gas Company
2006 IRP Firm Receipt Point Capacity Through 2011
Volumes in MMBtu
Receipt Point 2009 2010 2011
Sumas 41,146 41,146 41,146
Stanfield 86,800 86,800 86,800
Rockies 93,384 93,384 93,384
Storage 94,500 102,337 102,337
Citygate 25,000 25,000 25,000
Total 340,830 348,667 348,667
Table 11.3
Intermountain Gas Company
2008 IRP Firm Receipt Point Capacity Through 2011
Overl (Under) 2006 IRP
Volumes in MMBtu
Receipt Point 2009 2010 2011
Sumas 0 0 0
Stanfield 28,629 28,629 28,629
Rockies 0 (82)(832)
Storage 101,200 101,200 101,200
Citygate 0 0 1,000
Total 129,829 129,747 129,997
89
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Intormountin Gltli Company
Fivo Vür Proj.clod CU5tomr Growth based
on 5/07 John Church County Eeonoii; Forecast
Preparo by Byron Dofenbach
SUboiroetot: 20081RP
Fii. oa: 200 JRP BASE CASE CUSTOMER FOReCAT WORKSH££T2
Stwot na: BAE CAE HOUSEHOLD GROWTH
Households Households Posili Houseolds Posili..o Houaéholds Poiiti...Housøholds Positi..o HOUHholds PosilJ..o Households Po.iUIi
WESTERN REGION SqUAe ....Housøhold at Hosøhold ..Household ..Household ..Hou$Oltld ..HouseholdCountyMiles1213112007~IneroaS!12/311200 ~1213112010 !.12J311201'Inc,,!so ~Incroso ~Increase
Ad.1.05 145.850 151,770 5.920 156,730 4,960 160.790 4,060 166.370 5,580 170,530 4.160 174,820 4.290Canyon58563.880 65.690 1.810 67.00 1,310 68.480 1,480 70.030 '.550 7'.500 1.470 72.810 1.380G.m 55 0.200 6,320 120 6,410 90 6,510 '00 6,20 110 8,710 90 6,800 80Elmore3.077 9.330 9,540 210 9.690 150 9,870 '80 10.050 180 '0.220 170 10.400 180
OwhGO 7.&41 4.200 4.300 '00 4.380 80 4,460 80 4,50 90 4.640 .0 4,730 90Poyen.40S 8.310 8.470 100 8,20 'SO 8.780 160 8,960 180 9,110 150 9.2SO 140Washington145742204280704350604.400 SO 4.470 70 4530 00 4,590 0014,775 241990 250,380 8390 257,180 6,800 263.290 6.110 27105 7.760 277,240 6,190 283.470 6.230
INCREE 8.390 6,800 6.110 7.7&0 6,190 6.230NE\'V CONSTRUCTION PENETRATION RATE 99%...~99%99.1.99%99%IOC NEW CONSTRUCTION SALES 3.840 5,043 5.143 5,301 5,346 5.365IGC CONVERSION RATE 7%5%5%5'~5%5%
IGC CONVERSION SAES 289 252 257 205 267 268TOTAl4.109 5,295 5,400 5.567 5.614 5,634
Houuholds Households Posilivo Houaoholds Po.lli...Housoholds Poslli..a Housøhalds Positi..e Housoholds Po.iti...Households Positi..o
CENTRAL OivSION Squaro ....Houaohold ..Household ..Household ..Household at Housohold ..HousOhoh;lCountyM!~~!D 12111200 Inereaso 12/3112010 !!12/3112011 !!~!!1213112013 Incroasa
Gooding 724 5,70 5.720 '50 5,860 140 6.000 140 6.150 '50 6.80 130 6.400 120Blaine2.598 9,33 9,600 270 9,860 260 10.060 200 10.320 200 10,50 200 10.72 200Lincoln1,239 1.740 1.790 50 1;840 50 1.880 40 1.130 50 1,980 50 2.020 40Joromo5"7.520 7.720 200 7.920 200 8.120 200 8,30 220 8.56 220 8.780 220
Twin Falls 1.949 28.210 28.770 560 29,280 510 29,730 450 30,310 580 30,810 500 31.370 560Caul..2,546 7.060 7.759 99 7,825 68 7.890 65 7,978 88 8.05 77 8.120 71Mlnldo'"757
o::::~o::~:!50
0::~~~1
40
7::~~~1
40 7~::1 60 7::::'40 7:::::'50
10.412 1,791 1,6.1 1.'35'1,4081 1.171 1,611
INCREE 1.379 1.68 1,135 1.408 1,217 1.261
NEW CONSTRUCTION PENETRATION RATE 97%97%97%97%97"~97%IGC NEW CONSTRUCTION SAlES 976 952 88 9SO 901 1.00
IGC CONVERSION RATE 15%13%13~.13%13%13%IGC CONVERSION SAL 14.124 115 '23 125 131
TOTAL 1,123 1.075 1,000 1.073 1.086 1,140
EATERN REGION Squaro Housoholds Hosoholds Posillvo Housoholda Positive Hou$Oholds PosiU..o Households Posili..o Household.Posill..o Housoholds PositivGCounty.M ....Househod at Housoold ..Household ..Household ..Household at HOUSllhoid~~Ineree".21311200 ~12/3112010 !!12/3112011 !D nt Ineroua ~Ineroaso
Bingham 2.102 14.130 15,090 260 15,20 180 15.510 230 15,750 240 15,960 210 16.170 210Øonnovillo1.797 32.195 32.730 53 33.129 399 33.401 272 33,897 490 34.345 448 34.770 425Madso4098,360 6,5ao 220 8.780 200 8.30 150 9,150 220 9.350 200 9.550 200Jefetson1.086 7,640 7.780 140 7.88 100 7.980 100 8.070 90 8.160 90 8.240 80Freont1.855 4.150 4.230 60 4,330 100 4.400 70 4,490 90 4.570 80 4.64 70P..1.387 2.7'0 2.820 60 2,84 20 2,880 40 2,930 50 2.960 30 3.00 40Ba.oc 1,113 30.380 31.100 720 31.50 480 32,040 400 32.580 540 33.090 510 33,580 490_La'"9..2,390 2,400 10 2.410 10 2,440 30 2.470 30 2.500 30 2,30 30Caribo,~:~~1~:5:~10~:::~1
50 1~:::!20 11~::~1
SO
11~:~:~1
30
11~::~1
40
11:$~~1
30
20751 151!1,402!17861 16381 1,5751
TOTAL BASELINE HOUSEHOLD INCREAE 11.84 9.585 8.647 10,954 9.045 9.066
707AL BAEUNE HOUSEHOLDS 435,624 444.271 455,225 464.270 473.336
Squarø Milo Tolal 45,952
Wi OWYHEE INCREAE 2,075 1,519 1.402 1,786 1,638 1.575
NEW CONSTRUCTION PENETRATION RATE 87%87~.87%87"/.87Y.87%
IGC NEW CONSTRUCTION SALES 1.918 2.511 2.493 2.277 2.2:3 2,156
IGC CONVERSION RATE 14%11%11%11...11".11%
IGC CONVERSION SAES 277 277 274 250 245 237
tOTAL 2,2 2.797 2.767 2.527 2.488 2.394
WESTERN REGION RESIDEf\'T1AL
2008 200 2010 2011 2012 2013NECONST.3.84 5,043 5,143 5.301 5,38 5.365
CONVERSlON~2S 252 257 265 287 281TOTAL4,109 5.295 5,400 5.567 ',614 5,634
CENTRA DIVISION RESIDEIAl
2001 200 2010 2011 2012 2013
NEWCONST.978 952 as 9.0 961 1.008CONVERSION~148 '24 ".'23 '25 13'TOTAL ','23 1 075 1 00 1,073 1,086 1.140
EASTERN REGION RESIDENTIAL
200 200 2010 2011 2012 2013
NEWCONST.1,978 2,519 2,493 2.277 2.223 2.156CONVERSION!277 277 274 250 24.237TOTAL225527172,767 2527 2.468 2.39'
TOTAL COMPANY REIDETIA
2008 200 2010 2011 2012 20'3NECONST.6,795 8.514 ..520 8.528 8,530 8,530CONVERSION'612 SS 848 139 837 837TOTAL7.417 .1'67 ',167 9.167 9,167 9,167
WESTERN REGION COMMERCl
2001 200 2010 2011 2012 2013
NEWCONST.'7'S0 52.547 531 527CONVERSION!25 27 28 29 21 2'TOTAL 4"53 ..57G 55'555
CENTRA DIVISION COMMERCI
200.200 2010 2011 2012 2013NEWCONST,8G '00 83 I.97 .1CONVERSION!8 10 8 .'0 '0
TOTAL 94 "0 .,91 '07 101
EATER REGION COMMERCIA 20 200 2010 2011 2012 2013NEWCONST.186 170 ,..'40 147 '51CONVRSION:23 23 22 "2.21
70TAL 199 '93 197 159 lG7 '7'
TOT At COMPAN COMMERCiA
200 200 2010 2011 2012 2013NEWCONST.72.77.775 777 775 77G
CONVERSIONl 56 eo 5'57 58 58TOTAL78283838383834
WESTERN REGION TOTAL
200.200 2010 2011 2012 2013NEWCONS7.',3"5,5G 5,670 5,849 5,878 5,892
CONERSION!294 271 285 294 2.5 29G
TOTAL . 60 582 5,955 8,"3 6,173 6.188
CENRA DIVISION TOTAL
200 200 2010 2011 2012 2013NEWCONST.'.06 ',05 9.7 1.039 ,,OS,1,107
CONVRSION!155 134 123 132 '35 '"
TOTAt 1,217 1185 , ...1.1n 1.'92 1,248
EATERN REGION TOTAL 20 200 2010 2D11 2012 2013NEWCONST.2.144 2."2.157 2.416 2,370 2,37CONVION!30 30 297 269 26.258TOTAL2442..0 2,54 2,686 2 G34 2.565
COMPANY TOTAL
2001 200 2010 2011 20'2 2013-
NECONST.7,520 1.87 ',25 9,304 9,305 9,306
CONVRSION!748 7'3 70s G"......
TOTAL 1.61 10.00 10,00 10,000 10,000 10,000
1H11RMONT AIN GAS COMPANYBllUG REGISTER COUNTY ROLLoUP
SubclO: 200 IRP
Fli naI: 2001 lRP BASE CASE CUSTOMER FORECAST WORKSHEET2 5,0" Poc"'Uo C\l.tom.f. on IF bioi". 3OY.S..ln_.: CUSTOMER GROWT BREAKDOWN
DO'Pø UH: S.pt 30. 2007 BIllng R...P., tli; Sipl 30, 2O7 BlUing Rial'llt
DONE DONE DOH'DONE DONE CUSTOMERS BY CONTYRS.'RS.:Z OS."GS.10,12 G$.201 zoe 60 PJPE R$.1 .S"GS RS-1 .S"G5.11 G$.10 GSo220ClO!Q !W ~~~~~=~~~i;~~~~~
Wil..r Waahlnglon ...au ""Canyon Wa.....au ""Plfnl Payih....1.03 ".-....32'92 3.05'P.,1.51 una ."f,\Ihllld Pay'lli m .....NNPlym04Ih Payltl "..."SunVall)Em",11I 0_92 1.,37 ".I.3,021 6,U1 1,50 Gom 92 t,37 26
Caliii Canyon 2.24'9.013 ..,,,Id.aF6 Can)'Ol 7.203 '..,....."32P...e..yo 31 ..,....I.10,099 3M"',7120,,-,1..1 Canyon ..'",.I .Wilda,Cflon ...."..AIIOdHom.d.ii Owy....,.."..~37,2-47 133.,452 n,DS3MlddlllCilyon,..'......,".Ma '"....,70 I ,57.653 203,711 :8.13a Ad.20.'"'7.336 ',107 ,.,.N...e..yo '.41.21,41 '...""Ku".Ad.:13 3,57 10 ,.
Miildlan Ad.1.135 23.171 1,32 ,217.500....Ad.m a,601 ..IO..donClIy Ad.50'3,301 1.40 .801..Ad.18,'"51.352 G,_'",.
."'~"'10 ..,.Owho ,.,'"..Mount.mHomo ...1."2 ',Otl ..Elmr.1.6U "'251 .,H_n ...,,Glln5F..ry ..ZO '50 "
SunYaI.,""....,asKfltchu....',197 2,'"...H........2,'2''"....2.133 ..,..1,10.......'"...13-Go""...'"'6l Goodln .......Sho.ho.Uncolft I..'",.Uncoln I....,,.W..Go"'."...n.--J..om..to uSO '"Jeom....1,50 m
Buhl TwlnF"i.......,6l Twin F.ii.'...'0,15&2.75r..,TwlnF.ii.,..,."TwlFalll TwlnFII....'....,1,701KI..TwlnFiii.,.,...asH..~Twlnhlb...as .._h Twinhll."""
Bur..,CU51...,.....Ci..l....1,21 ...H.putn Mirndob '"....Mlndoki ...6l'.....Mlnldou .....,..P..Midok...........eMSI.....15Mali.e..i.,,"RafRlq,0:1.S 11 .
MorelandoRlverliici .-,7a .."Olngham ..'..,'"
FOlHail .,...."...Blackfo Bingham ...'.....
O.ai'Slngll ..as .....Slnglnim ",.."SMII."Bingham ...1,10 ".
Ammon 8onn.""In.,......'"80nnivllli 4,717 11,1H 2,32Idahf.l.80"Mvl.,...10,7$2 2.319...80nnmll ..sa "UCOIl ...m ..ia
Rliby --..,..'".Je".on ...2.67 '".kt _...,..'7t.wl.1i _...ia '""...._..50 ,.."Riilxrg U..'"4,322 ..Modl.on '"",797 ,,.Sugll CI MiI.on '16 '"..P...fqmo ..".,f,._t ......13St. Ant f~'....,...
t.ava Hot Sptlll' Banck ..m ".~..5,33'13.256 2.0778_,'of'Carlbii ..",..e...".1,_2 ..GrKI C.,lboll .....,.So.Sprin.e....137 ."..,o-plown Si., Lall "'"".....'15 ......Mollf SurLa1 lB'lS ,..
ÂI Fill.Pow"'"...15'Pow.'.73 ...,..AlnI..n Bingham lB'".'"Chuuck Banock ..3,N7 ,..McCamn S..,,ock ""..."'..Bannok "to.,.Poelio Sin"ock '...9,50 1,96
57,653 203,711 a,GOZ "..57.653 203,711 ...."..
287,5 TES7
ENTER
%OF2008 2008 2008 2008
C.CONV'S W. REGION W.REGION W.REGION~CONY RATE ~Comm'I.RATE
6'1.7'"99%12'"
200 201l ADD'L CUSTOMERS BY COUNTY 200 AOD'L CUSTOMERS BY PIPE DIST.RES.COMM.HOUSEHOLD RS.1 RS.2 GS RS.1 RS.2 GS
CHURCH CHURCH ~CUSTOMERS CUSTOMERS CUSTQMERS CUSTOMERS CUSTOMERS CUSTOMERSi;i;8,390 253 3,856 499
Washington 32'1.25'1.70 1 22 2 Canyon
Payetto 32Y.25'1.160 3 51 5 ~85 1,301 107
Sun Vaiiey
Gem 32~.25%120 38 I.22 169 26
Canyon 72%SO'..U10 85 1,301 107 Idaho FalJs bi 204 1.661 135
All Other ~319 3,725 514
Ad.37'"54%5,920 144 2,205 377 631 6,856 782
200 TOTAL CUSTOMERS BY PIPE DIST.
R5-1 RS.2 GS
CUSTOMERS CUSTOMERS CUSTOMERS
Owyhee 78%13%100 5 77
Elmore 7S'I,13~.210 11 162 ~on
% OF 2008 2008 2008 2008 k2 7,371 33,793 3.158ENTE-~CONYS CENT. DIY. CENT. DIY.CENT. DlY.
COMM.~CONY. RATE ~Comm'l.RATE Sun Valley
CHURCH CHURCH 10%15%97%14,..I.3,043 6,520 1,276~~1,379 132 991 94
Blaine 49'1,65'1.270 17 130 24 Idaho FallsYI 10,302 33.077 4,917
Gooding 79~.38'1.150 15 116 AnOthr
Lincoln 79%38~.50 5 39 Customers 37,567 137,177 17,567
Jerome 79'1,38%200 21 155 10 56,284 210,567 26,916
Twin Falls 79%38%560 58 433 29
295,789
Ca..'"80'/.105%99 10 76 14
Minidoka 8D-.4 105%50 5 40 7
%OF 200 2006 2008 201l
ENTER-~E.CONS E.REGION E. REGION E. REGION
COMM.~CONY. RATE ~Comm'1.BATE
CHURCH CHURCH 11'!.14%87%14'"
CORR%~2,075 246 2,00 189
Bingham 44%30"260 12 100 10
Bonnevile 194%84%535 113 917 55
Jefferson 137'/.94'1.140 21 169 16
Madison 137".94'4 220 33 266 25
Fremont 137'1.84%60 12 87
Bannock 59%nv.720 46 374 68
Caribou 103'1.15%50 6 46 1
Bear Lake 103'/.15%10 0
Power 59%,77%80 31
11,84 631 6,856 782
7,467 8,268
% OF 2009 200 2009 2009
C. CONV"S W.REGION W.REGION W. REGION~CONV, RATE f!Comm'l.RATE
ENTER-~16'''5'1.99%8%
2009 2009 AOO'L CUSTOMERS BY COUNT 200 AOO'L CUSTOMERS BY PIPE OIST.
COMM.HOUSEHOLD RS.l RS.2 GS RS.l RS.2 GS~CHURCH CHURCH ~CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS~~6,800 212 5,083 530
Washingion 56'1.630/.60 1 34 3 CanyonPayet1056%63'1 150 3 84 7 ~71 1.699 140
Sun ValleyG6m56'1.63'1.BO 50 bi 23 221 29
Canyon 130%135%1,310 71 1,699 140 Idaho Fallsld 188 2,131 144
All Other ~259 4,574 520
Ada 610/.92'1.4,960 126 3,024 360 542 8,625 833
200 TOTAL CUSTOMERS BY PIPE OIST.
RS.l RS.2 GS
CUSTOMERS CUSTOMERS CUSTOMERSOwhee840/.84'1.80 67 5Elmore84'4 84'1.150 125 10 Canyon
%OF 200 2009 200 200 ~7.442 35,492 3,298
ENTER-~CONV"S CENT.OIV.CENT.OIV.CENT.OIV.
COMM.~CONV. RATE mi Comm'l.RATE Sun Valley
CHURCH CHURCH 17%13'/.97';'10-/.lateral 3,061 6,741 1,305
CORR%~1,266 103 973 110
Blaine 700/.99%260 19 181 25 Idaho Fallsld 10,491 35,201 5,061
Gooding 81%801.140 12 113 11 All Other
Lincoln 81'1.80"1.50 4 40 4 ~37,826 141,751 18,087
Jerome 81'1.80Y.200 17 161 16 58,828 219,192 21,751
Twin Falls 81%80%510 43 410 40
305.769
Cassia 65%1470/.66 42Minidoka65'1.14711.40 28
'1' OF 2009 200 200 2_ENTER-~E.CONV'S E. REGION E.REGION E.REGION
COMM.~CONY. RATE PENT. RATE Carom'. RATE
CHURCH CHURCH 18'1.11';'87'1.10%
CORR'1t ~1,519 227 2,569 193Bingham68'1.60%190 10 115 10
Bonnevile 330%202%399 103 1,166 70
Jefferson 191'1.130'1.100 15 189 11
Madison iii' A. 1301.200 30 339 23
Fremoni 191'1.130%100 15 169 11
Bannock 135%1500/.480 51 573 63caribou51'/.100-t.20 1 9 2
Bear Lake 51'1.100"/.10 0
Power 135%150%20 24
9,585 542 8,625 833
9,187 10,000
%OF 2010 2010 2010 2010
C. CONV'S W.REGION W. REGION W.REGIONlìCONV. RATE ~ Comm'l RATEENTER-:15%5%98%8%
2010 2010 AOO'L CUSTOMERS BY COUNTY 2010 AOO'L CUSTOMERS BY PIPE OIST.
COMM.HOUSEHOLD RS.l RS.2 GS RS.l RS.2 GS~CHURCH CHURCH ~CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS~CORR'I,6,110 218 5,181 555
Washington 62%42';'50 1 31 2 CanyonPayette62%42't.160 4 99 5 ~81 1,919 155
Sun V.Uey
Gem 62%42'1.100 62 YJ 20 191 23
Canyon 130-/.132'/.1,480 81 1,919 155 Idaho Fallsb!183 2,037 147
All Other ~258 4,479 508
Ad.71'1.118t¡.4,06 121 2.878 380 542 8,625 833
2010 TOTAL CUSTOMERS BY PIPE DIST.
RS.1 RS.2 GS
CUSTOMERS CUSTOMERS CUSTOMERSOwhee74'1.50'1.80 59elmore74'¡'50'1.180 133 Canyon
.1. OF 2010 2010 2010 2010 &.7.523 37,411 3,452
ENTER-)o CONY'S CENT. DIV.CENT.OIV.CENT. DIV.ENTER-.COMM.~CONY RATE PENT. RATE Commi. RATE Sun Valley
CHURCH CHURCH 17Y.13'1.97',4 10"4 Laleral 3,087 6,932 1,328~~1,135 95 90 91
Blaine 80%104'1.200 17 158 20 Idaho Fallsb!10.873 37,244 5,208
GOOding 82'1.74%140 12 114 10 All Other
Lincoln 82'1.74Y.40 3 33 3 Customers 38,084 146.229 18,595
Jerome 82%74%200 17 163 14 59,367 227,817 28,584
Twin Falls 82'1.74%450 39 388 32
315,768
Cassia 88%110%85 42 7Minidoka66%110"4 40 28 4
'4 OF 2010 2010 2010 2010ENTER-:E. CONYS E.REGION E.REGION E. REGION
COMM.~CONV RATE PENT. RATE Comm'l. RATE
CHURCH CHURCH 17'1.11'4 87'1.10-J.
CORR%~1,402 228 2,540 187
Bingham 74%63'1.230 14 151 13
Bonnevile 457%340%272 99 1,102 80
Jefferson 214%144%100 17 190 13
Madjson 214'1.144%150 26 285 19
Fremont 214'''144%70 12 133
Bannock 144%115'1.460 53 587 46Caribou5S'I,50%50 2 28 2
Bear Lake 58%50%30 15
Power 144Y.115%40 51 4
8,647 542 8,825 833
9,187 10,000
'i, OF 2011 2011 2011 2011
C. CONY'S W.REGION W.REGION W.REGION~CONY RATE ~Comln'l. RATE
ENTER-'14'1,5%99%10'1.
2011 2011 ADD'L CUSTOMERS BY COUNTY 2011 AOD'L CUSTOMERS BY PIPE DlST.
COMM.HOUSEHOLD RSol RS.2 GS RS.l RS.2 GS£Q CHURCH CHURCH ~CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS~~7,760 228 5,339 576
WaShington 51'1,67'1,70 2 35 5 CanyonPayette51'k 67'"180 4 91 12 ~80 1,877 159
Sun Valley
Gem 51'1,67'"110 58 !.27 249 23
Canyon 121%104%1.550 80 1,877 159 Idal'. Falls!.174 1,920 121
All Other~261 4,579 530
Ada 58%88'"5,580 132 3,097 373 542 8,625 833
2011 TOTAL CUSTOMERS BY PIPE DIST.
RS.l RS.2 GS
CUSTOMERS CUSTOMERS CUSTOMERS
Owhee 68'1,75%90 61 7Elmore6S'I,75%180 122 13 Canyon
'I, OF 2011 2011 2011 2011 ~7,603 39,288 3,611ENTER~CONY'S CENT. DIY. CENT.DIV.CENT.DIV.
COMM.~CONV,RATE PENT RATE Comrn'l. RATE Sun Valley
CHURCH CHURCH 16'1,13%97%Ill"I.3,114 7,181 1,352~~1,408 104 970 98
Blaine 83'1,80"260 23 214 20 Idaho FallsI.10.848 39.164 5,329
GOOding 69%68%150 11 103 10 All Other
Uncoln 69'1,68%50 4 34 3 Customers 38.345 150,808 19,125
Jerome 69%68%220 16 151 15 59,90 236,442 29,417Twin Falls 69%WI.580 43 398 38
325,768
Cassia 47%85%88 41
Minidoka 47%85'1,60 28
%OF2011 2011 2011 2011ENTER-'E.CONVS E. REGION E.REGION E.REGION
COMM.~CONY. RATE PENT. RATE Carom" RA
CHURCH CHURCH 16'4 11'1.87%10%~~1,786 210 2,317 159Bingham57'k 78,1,240 11 122 16
Bonnevilo 238%147'1.496 95 1,045 63
Jefferson 172%81'/.90 12 137
Madison 172%81%220 30 335 16
Fremont 172'1.81'/,90 12 137
Bannock 100%91%540 43 479 43
Caribou 33'1,80%30 1 9 2
Bear Lake 33%SO'I.30
Power 100%91'.4 50 4 44 4
10,954 542 8,625 833
9,167 10,000
"4 OF 2012 2012 2012 2012
C. CONYS W.REGION W.REGION W.REGION~CONY RATE PENT. RATE COmm'l, RATE
ENTER-.14".5"4 99%9'k
2012 2012 ADD'L CUSTOMERS BY COUNTY 2012 AOD'L CUSTOMERS BY PIPE OIST.
COMM.HOUSEHOLD RS.1 RS.2 GS RS.1 RS.2 GSCQUNTYCHURCHCHURCH~CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS~~6.190 230 5,384 559
Washington 65~.85V.60 2 39 5 CanyonPayette65"4 65%150 4 98 11 W!65 2.000 153
Sun Valley
Gem 65~i/.8S.I.90 59 Lateral 25 224 27
Canyon 136~.117%1.470 85 2.000 153 Idaho Fallsbi 168 1,850 123
All Other ki 265 4,551 529
Ada 72~i4 99~i1.4.160 127 2.873 367 543 8,624 833
2012 TOTAL CUSTOMERS BY PIPE OIST.
RS.1 RS.2 GS
CUSTOMERS CUSTOMERS CUSTOMERS
Owyhee 83%70'4 90 75 6
Elmore 83~.70'1.170 141 11 Canyon
'k OF 2012 2012 2012 2012 ~7,668 41,288 3,765
ENTER-.CONYS ceNT.DIV.CENT.DIV.CENT.DIV.
COMM.GOING RS2 CONY RATE ~ Comm'I.RATE Sun Valley
CHURCH CHURCH 14'k 13"4 97%10%!d 3,136 7,405 1.379~CORR"4 1.217 107 978 107
Blaine 94'k 120%200 20 165 23 Idaho Falls!d 11.016 41.014 5,452
GOOding 80'1.80%130 11 103 10 All Other
Lincoln 80%80%50 4 40 4 ~38.610 155.359 19,654
Jerome 801l!.80%220 19 174 17 60.452 245,066 30,250
Twin Falls 80'Ii 800k 500 43 385 39
335,768
0
Cassla 71'1.120%n 54 9Minidoka71%120'k 40 28 5
"4 OF 2012 2012 2012 2012ENTER~E.CONYS E.REGION E.REGION E. REGION
COMM.~CONV.RATE PENT. RATE Cooom'l RATE
CHURCH CHURCH 16~i/.11%87-1,10'1.~~1.638 205 2.262 167
Singham 55'k 70%210 9 102 13
Bonneviiie 260.1.172'k 448 94 1.031 67
Jefferson 172./.84-t.90 12 137
Madison 172%84%200 26 305 15
Fremont 172%84-1.60 11 122
Bannock 113'/.121%510 46 508 54Caribou44%48~i1.40 1 15 2
Bear Lake 44%48%30 12
Power 113%121'/.30 30
9,045 543 8,624 833
9.167 10,000
V. OF 2013 2013 20'3 20'3
C.CONY'S W.REGION W.REGION W.REGION~CONV. RATE ~ Comm'l. RATEENTER~14';'5%,99'1.10'1,
20'3 2013 AOO'L CUSTOMERS BY COUNTY 20'3 AOO'L CUSTOMERS BY PIPE OIST.
COMM.HOUSEHOLD RS.'RS.2 GS RSo,RS.2 GS~CHURCH CHURCH ~CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS
CORR"!CS 6,230 23'5,40 554
Washington 64%53%60 2 36 3 Canyon
Polyeuo 64%53'1.'40 4 69 7 County 6''.906 '52
Sun Valley
Gem 64%5341.90 56 I.23 2'5 26
Canyon 139%111%',380 6'',906 '52 Idaho FallsI.166 1,801 '26
All Other
Customers 273 4,701 529
Ada 72'1'85V.4,290 '32 3,088 360 544 6,624 833
0
2013 TOTAL CUSTOMERS BY PIPE OIST.
RS.l RS.2 GS
CUSTOMERS CUSTOMERS CUSTOMERS
Owhee 83'4 '001.90 74 9
Elmore 83'1,1001.'60 149 16 Canyon
'1' OF 2013 2013 2013 2013 ~7.770 43,'94 3,916
CONY'S CENT.OIV.CENT.OIV,CENT.OIV.ENTER-'COMM.~CONV. RATE ~ Comm'l RAE Sun Valley
CHURCH CHURCH 15'1,'3'1,97%10%l.3,162 7,620 ',405
CORR%~',26''"',028 '08
Blaine 93'¡''20%200 20 '63 23 Idaho Fallsl.",'81 42,8'5 5,578
GOOdIng 82'1.80%120 "97 9 AllOlhor
Lincoln 82a¡.80't.40 4 32 3 ~36,663 '60,060 20,'63
Jerome 82'1,80'1.220 19 179 '7 60,996 253,690 31,083
Twin Faits 82a¡.80'1.560 49 455 43
345,768
Cassia 69%105'1,7'5 48
MinIdoka 69%105'/,SO 4 34
%OF20'3 2013 2013 2013
E.CONY'S E.REGION E. REGION E. REGION
ENTER-'COMM.~CONV. RATE ~ Comm'l. RATE
CHURCH CHURCH '5%11'''8'1%10%~CS ',575 202 2,'93 17'
Bingham 55%60'1,2'0 9 '02 "
Bonnevile 266'1,195'4 425 92 999 72
Joffersn 18'%89'/e 80 '2 '28
Madison 181'/,8S'/e 200 29 3'9 '5
Fremont 181%69%70 '0 "2
Bannock 1091l,'2311.49 43 47'52Caribou43'/e 80'1,30 ,"2
Bear Lake 43%8011.30 "
Power 109%123%40 38
9.066 54 8,624 833
9,168 10,000
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Intermountain Gas Company
Flv. Year Projeced Customer Growth baisd
on 5107 John Church County Economic Forecast
PNpero by Byron OeonbachSuboirotor: 2008 IRP
File no.: 20081RP HIGH CASE CUSTOMER FORECAST WORKSHEET2
Shot n4lG: HIGH CASE HOUSEHOLD GROWTH1
Housoholds Houseolds PosiUvo Hou$Ohods Po.iU1lo Housoholds Posjtiiio Housaholds Positlvo Housoholds Positive HouGOholds PostivoWETER REGION Squaro .,.1 HoulShoJd .1 Housahold at Houshold .1 HOUHhold ..Hausohold .1 HousohodConlyMilos~~InCf!'ll Increase 1213112010 Incroase 1213112011 Increaso 12/311212 Incroase ~Inerease
Ad 1,052 145.850 155,111 9,261 1$1,898 6.787 167,860 5,962 175,507 7.647 181.759 ',252 188,103 6,344Canyon58563.880 66,301 2,421 67.934 1.63 69,737 1,803 71,619 1,882 73,421 1.802 75,215 1,794
Oom 558 6.200 6.397 197 6.528 131 6.6G8 140 6,816 148 6.949 133 7,079 130elmor.3,077 9.330 9,647 317 9,852 205 10,006 2"10,337 241 10,571 234 10,797 226Owh..7.64'4,200 4,30 140 4,439 99 4.541 102 4,656 "5 4.769 113 4,884 115Payelt.405 8,310 8.s85 275 8,784 '99 9.012 22.9,248 236 9,457 209 9,669 212Washington1.457 4,220 4.340 '20 4.421 61 4.501 80 4.597 ""4.677 80 4,769 92
14,775 241.990 254.721 12731 263 85.9,135 272 415 8559 282.780 10.365 291.603 8,823 300516 8913
INCREE 12,731 9.135 8.559 10.365 '.823 8.913
NEW CONSTRUCTION PENETRATION RATE 99".99%99~,99%99%..%IGC NEW CONSTRUCTION SAES 3.805 6.847 6.171 7,914 6,453 6.553
IGC CONVERSION RATE 8%5%~¡,,5'4 5%5%IGC CONVSION SAES 304 342 309 396 323 328
TOTAL 4,109 7,190 6,480 8,310 6,775 6.880
Housoholdi HOU80hods Posilve Housoholdi Posltivo Housoholds Poiltiv.Houl5oholds Posilvo Housohold$Posllivo HOUHholds Pen,live
C£NTRAL OJVlSION Squaro .1 .,Houshold ..Housoold ..HOUHhotd ..Housohold ..Housohold .1 Household
County M!~121112008 !nero.s.~Increse 1213112010 !.~Ineroaso 121112012 lncroup ~InsrosG
Gooding 724 5,570 5.798 228 5.976 178 6.156 1.0 &.360 20.8.5 175 '.725 1.0
Blaino 2.s9.9.33 9,809 479 10.178 36.10,498 320 10,876 378 11,194 318 11.516 322
LincOln ',239 1.740 1,818 78 1.873 55 1,930 57 1.993 63 2.05 6.2,118 63
Jerome 599 7,50 7,869 349 8.142 273 8.43 2.,8.738 305 9,040 3"9,345 2.'
Twin FaUs 1.949 28,210 29.070 860 29.735 685 30,338 603 31,08 748 31.751 "5 32,499 748
Cassia 2...7,660 7.548 0 7.712 1"7,886 174 8.079 '93 8.64 1.5 8,452 '8'
Minidoka 757 6::::~.::~~:i
".7:::::'74
7~;~~'
64 7::~1 .2 7.081 75
7~:~~:1
.4
10.412 21101 '7801 '6891 19531 75.9291 17911 1.9011
INCREASE 2,110 1.780 1,689 1,983 1,791 1,901
NE CONSTRUCTION PENETRATION RATE 97%97%97%97-"97'4 97%
iac NEW CQTRUCTlON SALES 985 1.331 1.25 1.482 1,335 1.411
IGC CONVRSION RA 7E 14%12%12-,4 12%12%12%
IGC CONVERSION SALES 138 ..0 1..178 180 189
TOTAl 1,123 1,490 1,400 1...1.495 1,580
EATERN REGION 5q..Housoholds Housoholds Postive Houseold.Positive Housoholds Positive Households Positivo Housoholds PoilttvCl Housoholds Positive
Couniy Ml .1 ..Household ..Housohold .1 Housohold ..HoulØhold ..Housohold at Hou..hold~~Inc;roso ll l!~l!~l!~W!~IiSingham2.102 14,830 15,27'44 15,52 2.8 15,889 327 16,229 340 16.544 3'5 16,85'3078oneiUo1,797 32.195 36.21 3.82'36,920 .9.37..&&2.38.518 .72 39.434 .,&40,328 894
Madilln 4'.8.36 8,744 38 9.028 284 9,263 235 9,572 309 9,73 30'10.169 29&
Jeferson 1.08 7,&40 7.893 253 8,047 1..8.27 160 6,58 151 ',50 1.8 8,14&142
Froont 1,85 4,150 4,281 131 4.402 121 4,501 99 4,613 112 4,719 '08 4,829 110Pow,1,387 2.7.0 2,852 92 2,887 45 2,958 59 3.1.83 3,075 5'3.133 58_.1.113 30.380 31.423 1.04 32.08'646 32.700 631 33.412 712 34.08'.84 34,787 .9'
Bo Lako .82 2.390 2.418 28 2,432 14 2.475 43 2,513 38 2...33 2,580 34
Caribou 1;::S 10~::::2.873 68 l1a;~1 36 '1~:i1 53 11::::1 '8 3,060 45 3.107 47
1117841 62691 2,4'71 22331 2.7451 121.8531 2.041 124.4321 2.5791
TOTAL HIGH CASE HOUSEHOLD INCREAE 21,110 13.402 12,481 15.093 13,21.13,393
TOTAL HIGH CASE HOUSEHOLDS ,"8,593 461,074 476.167 489,385 502,778
Squaro Milo Total 45.52
WfOWYHEe INCREASE 6,269 2,487 2,233 2,745 2,&04 2,579
NEW CONSTRUCTION PENETRATION RATE 87"87'4 87%87'1.87%87"1_
IGC NEW CONSTRUCTION SALES 2.014 3.310 3.045 3,477 3,347 3.320
IGC CONVRSION RATE 12%11%11%11%11%11%
IGC CONVERSION SALE5 242 36 33 383 368 36
TOTAL 2,255 3,875 3,380 3,860 3,715 3,885
WESTERN REGION RESiDENTIAL
200.2.09 2010 2011 2012 2013
NEWCONST.3.805 &...7 6.171 7.914 6..$3 6.553
CONVERSIO~3..342 309 3..323 32.TOTAL 4.109 "90 ....1310 6.775 6.880
CENTRAL DIVISION REIDEIAL
200 200 2010 2011 2012 2013
NEWCONST.'85 1.331 1.250 1.482 1.335 1.411
CONVERSION!'3.,..I..n8 16.,..TOTAL 1,123 1490 1.400 166 1.495 1.580
EATER.N REGION RESIOENTIAL
2008 200 2010 2011 2012 2013
NEWCONST.2,014 3.310 3.045 3.477 3,347 3,32CONVERSION!2'2 364 33.383 3..365
TOTAL 2,255 3,.7.3,380 3860 3,715 3685
TOTAL COMPANY RESIDENTIAL
2008 2Ð 2010 2011 2012 2013NEWCONST.&,803 ".W 10.466 12.874 11.134 11.283CONVERSION'88 ..7'3 9..8.,8.2
TOTAL 7.487 12.35 11.360 13.830 ".985 12.145
WESTERN REGION COMMERCIA 200 2Ð 2010 2011 2012 2013NECONST.'7'785 827 7....0 7'.CONVERSION!25 40 ...0 ..39
TOTAL "9 79.870 .05 ...765
CENTRAL DIISION COMMERCIAL
200 200 2010 2011 2012 2013NEWCONST.86 '73 209 173 20.'64
CONVERSION!8 17 21 17 2.,.
TOTAL ..19.230 ".22.,..
EATERN REGION COMMERCIAL 20 2Ð 2010 2011 2012 2013
NEWCONST.'66 301 34.313 330 2..
CONVERSION!23 '2 '7 '3 ..3.
TOTAL ,..35 39.3..375 32.
TOTAL COMPAN COMMERCIAL
2008 200 2010 2011 2012 2013
NEWCONST.72.',237 ....1.250 '.380 1.195
CONVERSION!86 99 112 100 11...
TOTAL 782 ',3 1.415 '.350 ',490 ',290
WESTERN REGION TOTAL 20 200 2010 2011 2012 2013
NEWCONST.',278 7.60 6.998 8.'7'7.303 7,298
CONVERSION!32 38 3.2 .38 3.7 387
TOTAL ...7885 7.350 9,115 7670 7.665
CENTRA OISION TOTAL
200 200 2010 2011 20t2 2013
NEWCONST.1.071 '..'.459 1.655 1,535 1.575
CONVERSION~14',n 'T',..I..'8"
TOTAL 1,217 1.61 ',629 1,50 ',715 1.761
EASTERN REGION TOTAL
200 2009 2010 2011 2012 2013
NECONST.2.180 3,"9 3.93 3.790 3.677 3.05
CONVERSION!28 40 382 '2'"3 ...
TOTAL 244 '02.3n.4,215 4.090 4,0'0
COMPAN TOTAL
200 2Ð 20'0 2011 2012 2013
NEWCONST.7,5 12.72 1'.850 14,124 12.515 12.478
CONVERSIOM 740 865 .0.1.056 ..,'57
TOTAL 8,69 13,610 12,755 15.180 13.475 13.435
lNT¡llMOUNTAl GAS COMPANYBIWNG REOlTER COUNTY ROlLoUPS"bodl'MlO 20 IRPFII. nam.: _tlA HIGH CASE CUSTOMER FORECAST WORKSHEET2 5.01 Pocii Cu.klm.,. on IF Laieal,1OSh..t "11: CUSTOMR GROWT BREAKDOWN
NOT DONE P.. th.: S.pl 30. 2007 BUling Rcililer P., m.: So.)O. 2G07 ØlllJriø Ros.to,
DONE DONE DO'"DO'DONE CUSTOMERS BY COUNTYRS.i R.S.1 GS-ll GS.l0,12 GS.1O2O60 PLP,RS.t RS.2 GS RS,1 RS,2 as.11 OS-to GS.20IZOCGOI.lò ~~~~~Il ~=i~lò ~~~~=i
W.l..r Wuhl"QIo .56 ..'20 Canyan Wuhlngklri '"..'20P"Yolt.Payette ..,'..,no ~'....3:.492 3.051 piy.n.1.351 1,11 mFrultlndPayitto'".20 '"~N_Plyiouth Pl'lno ....."Sun V.ii.,Emmatt G...."1.37 ,..i.i.21 6.351 '..G...."U37 ..
C.id-i Canyon '..._,073 .U i ,IdlhFali Canyon 7,203 32.3&4 2.....22ParmaClnyon".202 ....I.10.099 3L,U&:4,712G,-.liaf CenyOl 46 m 10 ,.Wid.,Cln)'on ..O."0 0 AlIOth.lHonal.Owyh..ai ,.."0 .CUlioMt 37.247 133.452 17,05)Ml....Cinyon ,..1.....0 2.",...m :.047 "1 ,51,6"203.111 26.136 ...20...97,336 9,107 "..Hamp.Canyon 4,411 21.42 '..."".......m i.S7 '",0
..1.....t.13S 23,111 t,32 .217,50e.gl.Ad...5.601 ...Glldl"Clly Ad...3,01 1.0CO 0.......1I.'M ...m 6,104 to
8"",,,,Owyh....29 "Owyh..10.m ..MotaHom...M42 ......Elmot.1,42 OUS1 mH_m.n ...0 2 ,G'-F.rry ...~'DD .50 77
Sun Vall., ....'".07 ..K.lçum ....1.117 2.164 ..H"""81...U ~'24 ..Blaln.~13'6,10 1,1.e.IIa."",.Blline 21 '"m
G_In -46.'"."Gooing ,....".Shosbon.Un ,sa 202 "Uncoln ,sa 20'"W.nd.-".US n.J.rei J._'"1,50 '"J.,om.".1,50 '"...TwiF..........TwlFaila ....10.151 2.75Filettwinf.,..,.77TwlnFan.T¥tf.3,37 l,07 uoaKimlmlyTwin'.'"....H_..Twlhlb ....20MwWlhTwiF.22 ""...C.....'3D ......C_.I..56 1.527 ..Hoybum M...11 '29 ai .....sa.mRupo_.3U 34'23P'"Mtnlob ......Dod Cuil...42 "M....e...,...RafRI_Cu.la .".
MOllland-Reisf Bil'ihii 27 .."Birh.m ....'...."FortH.i Bingham ..'22 ..Blackfot Blnghun 1.339 '..,......Bingham "".,..lUnghii ,.,..27Sh.u.Blnvhar 34'1010 '".m.......,......m Bo....117 16,lH 2,32IdMO'..Bomwlfll.....Lø.S2 %,1Sl..Bo_vine ....."U...Bonnevin."..."
Rigby J.ft..son ,SO 2,0'21 Joff..62 2,667 '"Rh"J.ff...a "..."UwvUll Jaffr.on "11 "....Jelfl"Of 50 .56 "Rixlrg MMilion 63..m ...M....'47 ')'907 '"SupCily MMilion .16 '"52P..,Freont 52 .29 .Fntmot ....mSt.Anthny Flamonl '"56.m
La. Hot Sp,lngl Bannok ai ..51 .-.U3l 13.56 2,011...h e....12 "C."bo 23 1.12 3D,"'-e-....."SoIiSptln1 e..m ..20'Googaton S..,lae "'"..aUtla.'"...20'MonrpUu 81.,...,..'"...
Am&lcan F iii P_,'"..."P..'",..."....n Binham '80 '46 10.Clfbuk ...m 3.041 "'McCMtlnn .-."'".."'..._.71 I....PORlatlO ...".Stt 9,50 '...
ST.653 203.711 26.02 54 ..57.653 203.711 26,002 "80
287,50 reST
ENTER
%OF 200l 2008 2008 2008
C. CONY'S W.REGION W.REGION W.REGION~CONY. RATE ~Comm'l. RATE
8'1.8%89%12%
2008 2008 ADD'L CUSTOMERS BY COUNTY 2008 ADD'L CUSTOMERS BY PIPE DIST.
RES.COMM.HOUSEHOLD RS.l RS.2 GS RS.l RS.2 GS
CHURCH CHURCH ~CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS~~12.731 280 3,82 499Washington19'/,14%120 2 22 2 Canyon
Payette 19'Y,14%275 4 52 5 ~94 1,292 LOL
Sun Valley
Gem 19%14'1'197 37 Lateral 22 170 27
Canyon 54%37'1.2.421 94 1,292 106 Idaho Fallsld 186 1,679 135
All Othr ~330 3.715 514
Ada 24'1,34%9.261 160 2,189 3n 832 6,856 782
0
200 TOTAL CUSTOMERS BY PIPE DIST.
RS.l RS.2 GS
CUSTOMERS CUSTOMERS CUSTOMERS
Owyhee 52%9'Y.140 5 73
Elmore 52~.g'i.317 12 165 CanyonY.OF 200 200 200 20 ~7,380 33,784 3.157ENTER-~CONY'S CENT. OW.CENT. DIY.CENT. DIY.
COMM.li CONY RA ~Cpro' RATE SunVaDey
CHURCH CHURCH 8%14%t7Y.14'4 b!3,043 6.521 1,277
CORR'1o ~2,110 127 998 94Blaine28'!.37'1.479 17 131 24 Idaho FaUs l.10,285 33,095 4,917
Gooding 50%24'4 228 14 112 All Otr
Lincoln 50'1,24'1.78 5 38 ~37,577 137,167 17,567
Jerome 50'1.24'/i 349 22 172 11 58,285 210.567 26,918
Twin Falls 50'1,24%860 54 424 28
295.769
Cassia 104'Y.133%0 0 0 0
Minidoka 104'/.133%116 15 118 21
e¡. OF 2008 2008 2008 2008
ENTER-'E.CONY'S E.REGION E. REGION E. REGION
COMM.~CONY. RATE ~Comm'l.RATE
CHURCH CHURCH 7%12%87%14%~~6,269 225 2.031 189
Bingham 26'"18%44 11 102 10
Bonnevile 28'1.12't.3,826 103 926 55
Jeffersn 80'1,54'1,253 20 in 16
Madison 80%MY.384 30 269 25
Fremont 80'1'54'1.131 10 92
Bannock 41'/.53'Y.1,043 42 377 67
Caribou 65~.11%68 4 39 1
Bear Lake 65%11'/.28 16
Power 41%53%92 33
21.110 632 6,856 782
7,487 8,269
y,OF2009 2009 2009 2009
C. CONY'S W. REGION W.REGION W. REGION~~PENT. RATE eorom'1. RATE
ENTER....U.I,5'1.99%12%
2009 2009 ADD'L CUSTOMERS BY COUNTY 2009 ADD'L CUSTOMERS BY PIPE DIST.
COMM.HOUSEHOLD RS.1 RS.2 GS RS.1 RS-2 GS
COUNTY CHURCH CHURCH ~CUSTOMERS CUSTMERS CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS
CORR'I,i;9,135 233 6,957 795Washington59~.72,1,81 2 48 7 canyonPayette59'1.72'1.199 4 117 17 ~65 1,935 235
Sun Valley
Gem 59%72%131 77 11 ld 30 326 45
Canyon 118%121'1.1,633 65 1,935 235 Idaho Fallsld 208 2,640 270
AIlOthor~307 6.64 786
Ad_67'1.62%6,787 152 4,548 500 610 11,744 1,335
0
200 TOTAL CUSTOMERS BY PIPE DIST.
RS.1 RS.2 GS
CUSTOMERS CUSTOMERS CUSTOMERS
Owhee 76...70%99 76 8
Elmore 76'4 70'/,205 157 17 Canyon
.1, OF 2009 2009 200 200 ~7,445 35,719 3,392ENTER-'CONYS CENT. DIV.CENT.DIV.CENT.DIV.
COMM.~CONY. RATE PENT. RATE Cprom'l RATE SunV_lIey
CHURCH CHURCH 21'4 12%97%12';'ld 3,073 6,847 1,322i;i;1,760 128 1,36 190
Blaine 77,1,92%369 26 284 40 Idaho FallsYi 10,493 35,935 5,187
Gooding 77%88%178 13 136 18 AIIOlher
Lincoln 77%88...55 4 42 6 ~37.684 143,811 18,353
Jerome 77%88'"273 19 209 26 58,695 222,311 28,253
Twin Falls 77%88%665 47 510 66
309,459
0
Cassia 77%109'1.166 12 126 21Minidokan'4 109'/.74 5 5&9
'I, OF 2009 200 200 2009
ENTER-.'E. CONY'S E.REGION E. REGION E.REGION
COMM.~CONV.RATE PENT RATE Commi.RATE
CHURCH CHURCH 31'1.11%87'1.10%
CORR%CORR%2,487 251 3,423 350Bingham79~.100%288 15 205 25
Bonnevile 196'1.179'1,899 116 1.584 140
Jeffersn 167'1.155'4 154 17 231 21
Madison 167'1.155%284 31 428 36
Fremont 167%1SS'I_121 13 181 16
Bannock 122%175'1.846 52 710 98Caribou83%110'1'38 2 27 3
Bear Lake 83'1.110%14 10
Power 122'1.175'1.45 49
13,402 610 11,744 1,335
12,355 13,690
-I_ OF 2010 2010 2010 2010
C. CONV'S W.REGION W.REGION W.REGION~CONY. RATE ~ Comm'l RATE
ENTER-'32'1_5%99%8%
2010 2010 AOO'L CUSTOMERS BY COUNTY 2010 AOO'L CUSTOMERS BY PIPE OIST.
COMM,HOUSEHOLO RS.l RS.2 GS RS.l RS.2 GS~CHURCH CHURCH ~CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERSÇ.CORR%8,559 210 6,270 870
Washington 64%100-;'80 2 52 6 CanyonPayette64%1oo'Y_228 5 148 18 ~71 2,129 250
Sun Valley
Gem 64lJ,100%140 91 11 ~26 281 56
Canyon 117'1.175-1.1,803 71 2,129 250 Idaho Fallsl.186 2.538 303
All Other ld 276 5,752 886
Ada 60'1.119-1.5,962 120 3.580 560 559 10.700 1,495
2010 TOTAL CUSTOMERS BY PIPE OIST.
RS.l RS.2 GS
CUSTOMERS CUSTOMERS CUSTOMERS
Owyhee 78-1_90%102 80 7Elmore78-;'90%244 191 17 Canyon
-I. OF 2010 2010 2010 2010 ~7,516 37.848 3,642ENTER-'CONYS CENT.DIV.CENT. DIV.CENT.OIV.
ENTER.-.COMM.~CONY. RATE PENT. RATE Commi RATE Sun Valley
CHURCH CHURCH 21%12%97".10%l.3,099 7,128 1,378Ç.Ç.1.689 118 1.281 230
Blaino 75%160 320 22 238 50 Idaho FallsY1 10,679 38.72 5.489
GOOding 77lJ,123%180 13 137 21 All Other
LinCOln 77%123".57 4 43 7 ~38,160 149,563 19.239
Jerome 71'1.123%291 20 221 35 59,454 233,011 29,749
Twin Falls 77".123%603 42 459 72
322,214
Cassia n%195-1_174 12 134 33
Minidoka 77'4 195'1.64 5 49 12
'4 OF 2010 2010 2010 2010ENTER-'E.CONYS E.REGION E.REGION E.REGION
COMM.~CONY,RATE ~ Comm'I.BATE
CHURCH CHURCH 3a'.11%87%10%Ç.CORR'Y.2,233 231 3,149 395
Bingham 82-1,104';'327 18 242 30
Bonnevile 236%285%626 97 1,328 155
Jefferson 171%198%160 18 246 28
Madison 171'4 198-1.235 27 361 40
Fremont 171%198'4 99 11 152 17
Bannock 122%200%631 51 694 110Caribou70,,,65%53 2 33 3
Bear Lake 70%65%43 27
Power 122'4 200%59 65 10
12,481 559 10,700 1,495
11,260 12,755
'I. OF 2011 2011 2011 2011
C. CONY'S W.REGION W.REGION W.REGION~CONY. RATE ~ CQmm'l.RATE
ENTER....32'1,5%11%10'1.
2011 2011 AOO'L CUSTOMERS BY COUNTY 2011 AOO'L CUSTOMERS BY PIPE OIST.
COMM.HOUSEHOLD RS.l RS.2 GS RS.l RS.2 GS~CHURCH CHURCH ~CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS
CQRR%~10.365 269 8.041 805Washington6S'I,851'.98 2 63 8 Canyon
POlyene 65'10 85'1.236 5 155 20 £i 74 2,225 260
Sun ValleyGom65'1.85%148 97 12 l.32 341 40
Canyon 118'/,140%1,882 74 2,225 260 Idaho Fallsl.216 2,941 263
All Other ~352 7,649 786
Ada 68'1,63%7,647 175 5,230 475 674 13.157 1.350
2011 TOTAL CUSTOMERS BY PIPE OIST.
RS.l RS.2 GS
CUSTOMERS CUSTMERS CUSTOMERS
Owyhoe 76%84'1,115 87 10
Elmore 7S'"84'1,241 183 20 Canyon
% OF 2011 2011 2011 2011 £i 7.591 40,073 3,902ENTER.-'CONVS CENT. DIY. CENT. DIY, CENT. DIY.
COMM.~CONY RAE PENT. RATE Comm'l, RATE Sun Valley
CHURCH CHURCH 21%12%97,1,10'/,l.3,130 7,469 1,419
CORR'1o ~1,983 141 1,520 190Blaine78%95'1.378 27 293 35 Idaho FaUsY!10,895 41,413 5,753
GooinO 77%90'1.204 14 158 18 All Other Lincoln 771'.90%83 4 48 5 ~38,511 157,212 20,025
Jerome n'i,90'1.305 22 233 27 60,128 246,168 31,098
Twin Falls 77,1,90'1.748 53 571 65
337,395
0
Cassia 78,1,143'/,193 14 149 27
Minidoka 781'.143%92 7 71 13
%OF2011 2011 2011 2011
ENTER....E.CONV'S E.REGION E. REGION E. REGION
COMM.~CONY. RATE PENT. RATE Comm'l RATE
CHURCH CHURCH 31".11'/,87'"10'1,
CORR%CORR'I.2,745 264 3,596 355
Bingham 84%120%340 19 256 35
Bonnevile 186'/.154%972 120 1,630 130
Jefferson 160'/.130'1.151 16 218 17
Madison 160%130'"30 33 44 35
Fremont 160%130'1,112 12 162 13
Bannock 120'1.17..1.712 56 788 110Caribou661'.65'10 48 2 29 3
Bear Lake 66%65'1,38 23
Power 120'4 178'1.63 68 10
15,093 674 13,157 1,350
13,630 15,180
.1. OF 2012 2012 2012 2012
C.CONV'S W. REGION W.REGION W.REGION~CONY RATE PENT RATE Comm.l. RATE
ENTER..""32'/0 5'1.99'/1 9%
2012 2012 ADD'L CUSTOMERS BY COUNTY 2012 ADD'L CUSTOMERS BY PIPE DIST.
COMM.HOUSEHOLD RS.l RS.2 GS RS.l RS.2 GS£Q CHURCH CHURCH ~CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS~~8,823 219 6,556 895Washington65%107%80 2 52 8 CanyonPayone65'1.107%209 5 137 20 ~72 2,148 270
Sun ValleyGem65'11 107%133 87 13 ld 26 286 56
Canyon 119'/0 168%1,02 72 2,148 270 Idaho Fall.ld 208 2,840 280
All Other
Customers 293 6,112 884
Ada 62'1.1011""6,252 130 3,871 560 600 11,385 1,490
0
2012 TOTAL CUSTOMERS BY PIPE DIST.
RS-l RS.2 GS
CUSTOMERS CUSTOMERS CUSTOMERSOwyhee7S%811/1 113 3 85 8Elmor.75%811/1 234 8 178 17 Canyon
'/0 OF 2012 2012 2012 2012 County 7,863 42,221 4.172
ENTER-~CONVS CENT.DIV.CENT. DlV.CENT.DIV.
COMM.~CONV.RATE PENT. RATE Comm" RATE Sun Valley
CHURCH CHURCH 21%12%97%10%ld 3,157 7,755 1,475~~1,791 127 1,369 220
Blaíne 75'/0 161%318 22 238 50 Idho Fall.I.11,104 44,253 8,033
Gooding 77%111%175 12 134 19 Al Other
Lincoln 77%111%82 4 47 7 ~38.805 163,324 20,909
Jerome n%111.,.311 22 238 33 60.728 257,553 32,589
Twin Falls n%111%665 47 50 71
350,870
Ca..la 78%160'Yi 185 13 143 29
Minidoka 78~.160%75 5 58 12
%OF2012 2012 2012 2012ENTER-~E. CONVS E.REGION E.REGION E.REGION
COMM.GOING RS2 CONY RATE PENT. RATE Comm"1 BAJE
CHURCH CHURCH 31%111;'87%10"/0
CORR%CORR%2,604 254 3,481 375
Bingham 821'"126%315 17 233 35
Bonneville 1921'"1761;'916 118 1,584 140
Jefferson 161W1 146.,1 148 16 214 19
Madison 160'/1 146'''301 32 434 38
Fremont 160%146%106 11 153 13
Bannock 120~,1941'"684 54 741 115
Caribou 60'''10'''45 2 24 3
Boar Lake 60%7eW.33 18
Powor 120%1941/.56 61
13,218 800 11,385 1,490
11,985 13,475
'" OF 2013 2013 2013 2013
C. CONV'S W.REGION W.REGION W.REGION~~PENT, RATE Comm'1. RATE
ENTER...'31';'5%89%10-;.
2013 2013 ADD'L CUSTOMERS BY COUNTY 2013 ADD'L CUSTOMERS BY PIPE DIST.
COMM.HOUSEHOLD RS.l RS.2 GS RS.l RS.2 GS~CHURCH CHURCH ~CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERSi;£Q 8,913 225 8,655 779Washington67'1.70%92 2 82 6 CanyonPayette67'1.70%212 5 142 15 ~73 2.148 244
Sun ValleyGem67'1.70'1.130 87 Lateral 27 290 45
Canyon 1191/.13S-J.1,794 73 2,148 244 Idaho Fallsl.208 2,797 240
All Other
Customers 308 8,294 755
Ada 62%76%6,344 134 3,966 475 616 11,529 1.284
2013 TOTAL CUSTOMERS BY PIPE DIST.
RS.l RS.2 GS
CUSTOMERS CUSTOMERS CUSTOMERS
Owhee 73%89%115 85 10
Elmore 73'Y.89'1.226 167 20 Canyon
'" OF 2013 2013 2013 2013 ~7,735 44,368 4,416
CONV'S CENT.DIV.CENT.DIV.CENT.DIV.
ENTER....COMM.~CONV RA ~ Comm'l RATE Sun Valley
CHURCH CHURCH 20%12%97%10%l.3.184 8,045 1,520
CORR%£Q 1.901 136 1,445 160Blaine76~.128~.322 23 242 40 Idaho Fallsbi 11.312 47,050 6.273
GoOding 7&"1.881J.190 14 144 16 All Other Lincoln 76'1.88%63 4 48 5 ~39,113 169,618 21,664
Jerome 76'''88'1,296 21 224 25 61.34 269,083 33.873
Twin Falls 76".88'4 748 53 567 63
384,299
Cassia 78'1.110~.188 14 146 20
Minidoka 78'1.110'/.94 7 73 10
.1. OF 2013 2013 2013 2013
E. CONYS E.REGION E. REGION E, REGIONENTER...'COMM.~CONV.RA PENT. RATE Comm'l RATE
CHURCH CHURCH 30'"11%87%10%i;CORR ~.2,579 256 3,429 325Bingham81'1,92'1.307 17 223 25
Bonnevile 194'1.161'4 894 116 1,559 125
Jefferson 161'1.125'1.142 15 205 15
Madison 161'1.1250/,296 32 427 32
Fromont 161%125't.110 12 159 12
Bannock 120'1.170'1,691 56 747 102
Caribou 64~.70~.47 2 27 3
Bear Lake 64%70%34 20
Powor 120-1.170%56 63
13,393 616 11,529 1,264
12,145 13,429
¡
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i
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Intormounl3in Gu Company
Fivo Yur Prajoctod Customr Growh basadon 517 John Church Cont Econoic FOfOcut
P,.parod by By ton Oefonbach
Sub.diroctot: 2008 IRP
Filo nam.: 2008 IRP LOW CAE CUSTOMER FORECATWORKSHEET2
Shoot namo: LOW CAE HOUSEHLD GROWTH
Houaoholds Households PositÎvo Housoholds Posilivo HoU60ho1ds Positive Households Positive Houaoholds Positivo HoulSoholds PoiiitivoWESTERN REGION Squaro al al Housod al Housohold al Hosohold al Housohold al Housohold al HouseholdCountyMilos,?!'12007 ~Inero'H 121311200 !!~!!12131f2011 !D ~Inçrollso ~Incto.se
Ada 1.052 144.304 148,550 4,248 151.737 3.'87 153.964 2.27 157.533 3,S69 159.655 2.122 161.88 2.28Canyon5863,484 64.872 1.388 65.756 88 66.781 1.025 67.856 1.075 68,83 978 69,685 85'Gam 558 6,151 8,27 76 8,70 43 6.320 50 6.375 55 6.414 38 6.446 32Elmoro3.077 9,47 8,375 '28 9.439 64 .,57 .8 9,626 8.9,706 80 9,785 78Owhoo7,641 4.170 4.241 7'4,28.48 4,337 48 4,396 5.4.452 56 4.50 48Peylte4058.45 8.346 '0'8.420 74 8,5'9 .9 8,821 '02 8.697 78 8.759 62Wuhlngion1,457 4189 4.226 37 4,249 23 4.210 2'4.304 34 4323 ,.434 2'14.715 239.190 245.837 6,047 250160 4323 253.728 3568 258,711 4,983 262081 3,370 265 402 3.321
INCREAE 6.047 4,323 3,568 4.983 3.370 3,321
NE CONSTRUCTION PENETRATION RATE 99'",88~.99%99%99'1,99'",JGe NEW CONSTRUCTION SALES 3.805 3,381 2,667 3,28 2,667 2.533IGC CONVION RATE 8%5%S't.5%5%5%IGC COERSION SALES 304 '89 133 '62 '33 '27TOTAL4.109 3.550 2.800 3._2,800 2.660
Hous.lds Households Positivo Housoholda Posllivo Households Poaltive Housolds Posiiive HoU50hoidi Poiitivo Housoholds PositveCENTRAL DIVISION Square al al Household al Ilusohold al HOUHhOld .1 HolOhold al HOUHhold al HousehldCountyM!121112007 12!31f2008 !i ~!!121J112010 Incroso .1 !!~!.~~
Gooding 724 5,518 5,611 98 5.897 80 5.772 75 5.8r.93 5,928 63 5.72 44elaino2.598 9,221 9,378 '57 9.516 '38 ...8 82 9.726 '28 9.790 64 .,863 73L1ncoln1.239 1,727 1.758 31 1,781 23 "'04 23 1.832 28 1,857 2.1,88 25Jeroo.99 7.458 7,588 '30 7,710 '22 7,841 '3'7,977 '38 8.110 '33 8,242 '32Twin F.lis 1.&49 27.987 29,33 348 28,626 283 2U31 2'2 29.177 33.29.428 25'2.,7'5 287ea$ISÌII 2.548 7,267 7.358 8.7.424 G8 7.495 7'7.582 87 7,659 77 7.733 74Minidoka757660868126Ofl0208 82 0 658.7 6,578 0 6578 010412657948665856735671467.30 594 68748 8'8 6.35 6'3 69983 835
INCREAE 85 7'4 594 8'8 6'3 635NEW CONSTRUCTION PENETRATION RATE .7%97%.7%.7%97%97%
JGC NEW CONSTRUCTION SAeS .76 8'0 722 84'78'80'iac CONVERSION RATE '5%'3%'3%'3%'3%13%IGC CONVERSION SALES '48 ,os 94 '09 99 '04
TOTAL 1,123 9'5 8".50 880 .05
EATERN REGION Square HousehOlds HoushOlds Posltivo HoushOds Poiiitivo Households Positivo Househods Positivo Housoholds Posilivo Housoholds PositlvaCountyMiatatHousoholdalHou&ohold al Housohold .1 HoU$hOid al Housohold al Houaohold~12/3112008 lneroaso ll Inctoaso 1213112010 Incroasa .!~1213112012 l!1213112013 l.Bingham 2.102 14.711 14,846 '35 14.914 68 15.013 99 15,121 '08 15,201 80 15,274 73Bonneillo1,797 34,372 34.775 403 35.025 250 35.006 0 35,26 290 35.5'9 223 35.697 '78Madiso48.8,78 8,5 302 8,780 200 8.930 "0 9,150 220 9,350 200 9.550 200Jofars1,086 7.561 7,710 211 7.880 '00 7,980 '00 8,070 90 .,160 .0 8,240 80Freont1,855 4.117 4.2 113 4_'00 4.400 70 4.410 90 4,570 80 4,640 70Power1.387 2.736 2,820 84 2.840 20 2.180 40 2..30 50 2.980 30 3.00 40Bannock1,113 30.166 31.100 934 3',580 480 32.040 480 32,0 54 33.090 5'0 33.580 4.0Bet Lab .82 2,72 2.400 28 2.410 '0 2.440 30 2,470 30 2.500 30 2.530 30Caribou.784 2711 2880 89 2880 20 2930 50 2.80 30 3 40 303 30
'2 75 10711 109 391 2279 110639 1248 111619 .88 113017 ',44 114350 '283 115541 1191TOTAL SAELJNE HOUSEHOL INCRE 1,184 6.85 5,'6'7,246 5.88 5.147TOTAL BASEUN! HOUSEHOLDS 428.155 433,277 44,56 445.781 450..26Squaro Milo Tolal 45.852
Wi OWYHEE INCREAE 2.279 1.248 898 1.448 '.283 1.191NEW CONSTRUCTION PeRATION RATE 87%97%87%87%87%87%IGC NE CONSTRUt0N SALES 1.996 1.991 1.'10 2,2 2.122 2.005IGC CONVION RATE '3%11%1'%11%11%11%
IGC CONVION SALES 259 2'9 2'0 246 233 22'
TOTAL 2.255 2,2'0 2.'20 2._2.355 2.225
WESTERN REGION RESIOENTIAL
2008 200 2ö1Q 2011 2012 2013NEWCOT,3,805 3,381 2,667 3,238 2.661 2.S33
CONVRSION~304 ,..'33 162 '33 127
TOTAl 4,109 3.550 2800 3,400 2800 2,660
CENTRAL DIVISION REIOENnAL
2008 200 2010 2011 2012 2013
NEWCONST..76 8'0 722 841 7.'801
CONVERSION!...10...,og .9 '04
TOTAL 1,123 9'5 .'5 9....0 90S
EATER REGION RESiDENTIAL
200B 200 2010 2011 2012 2013
NECONST.1,996 1,991 1,910 2,239 2,122 2,OOS
CONVERSION!2'.2'.2'0 24.233 221
TOTAL 2,255 2,210 2,120 2,485 2,355 2,225
TOTAL COMPANY RESIDENTiAl 200 200 2010 2011 2012 2013
NEWCONST.6,7n 6,181 5,29.6,3'1 5,S49 5,339
CONvERSION~710 403 437 517 ...451
TOTAL 7,487 6,674 5,135 6.3S 6.015 5,790
WESTERN REGION COMMERCIAL200 200 2010 2011 2012 2013
NEWCONST,474 50 4'.389 45'390
CONVERSION~25 27 22 20 24 21
TOYAL 499 530 440 0'0 4.0 410
CENTRAL DIVSION COMMERCIAL
200a 200 2010 2011 2012 2013
NEWCONST,65 82 ,..8 ..63
CONveRSION~..7 7 9 ,
TOTAL 94 90 75 7'95 70
EATERN REGION COMMERCIAL
2009 200 2010 2011 2012 20'3
NEWCONST,..,,ao '54 '54 ,..,..
CONVERSION!23 25 2'2.27 2'
TOTAL '89 205 175 '75 22.215
TOTAL COMPANY COMMERCIAL 200 200 2010 2011 2012 2013
NEWCONST.72.768 640 '"ToO 642
CONVERSION!5.59 50 48 ao 53
TOTAL 782 12 ..0 .80 800 ...
WESTERN REGION TOTAl 200 200 2010 2011 2012 2013
NEWCONST,4,279 3,184 3,085 3.'27 3,123 2.923
CONvERSION!32 ."'55 182 '57 147
TOTAL 4,08 4,08 3.240 3810 3,280 3,070
CEN OIVlSION TOTAl
2008 200 2010 2011 2012 2013
NEWCONST.1.06 .92 790 9..847 a64
CONVERSION''55 113 101 116 .07 110
TOTAL 1,216 1,00 .90 1025 954 975
EATER REGION TOTAL
2001 20D 2010 2011 2012 2013
NEWCONST,2,162 2.171 2,064 2,393 2,319 2,194
CONVERSION~282 244 23'267 2.0 24'
TOTAl 2444 2415 2295 2,660 2.580 2,44Ð
COMPANY TOTAL 20 200 2010 2011 2012 2013
NEWCONST.7,$03 6,147 5,938 6.929 6.289 5,981
CONVERSION!716 55 487 5"525 500
TOTAL a.2 7.5 6,425 7,495 6,814 6,485
INtERMOUNTAI GAS COMPANYBILUNG REGISTER COUNtY ROLL-UP$ub-il.ciory: iollRP
fl" nam: 20IIRP LOW CASE CUstOMER FORECASTWORKSHEET2 S.0lPocHocu_lc on IF Latl,af, 30%Sl\nll.: CUSTOMER GROWT BR£AOOWN
DONE P.r dw: 5.pl 30, 2007 8111ng R~i.tw P..ih: S4130, 2007 Billing Ragl.li,
DONE DON'DON'DOE DONE CUStOMERS BY COUNTYRS-1 RS.2 as..,OS.10,12 GS.20120C60 ...RS.'RS.Z as RS.'RS"os..,05"0 OS-2120CGO Im ;;~~~~~Il ~~~lõ ~~~~~
Wal..,Wuhington ...lJ m C,,yon Wuhinton ...lJ ""Pa)'.ltl Pay."_..,1.03 ,iø ~,,,..12'"US1 Payaii.1,351 1,l1a '"Frul'land P.~U...ai noN_PI)'ino"'h P"Y.....os "SunYal.yEmma"aom 0"1.37 ...J.~U21 6.351 "'''C.m ."1,)37 ..
C.i.ii CMl)'on :1'9.73 ..,,,td.tohll.Canyon 7,2Q3 31.1"..."",.Puma eM,.2..202 ..0 .Li 10.tl 31.16 ",712G,.."i..f Ciiyon ..m 10 ,.Wi....Canyo".,.."..MOth.,HonMaia Owyh..13 .09 "..ii 37,241 133.452 17,03.....Ciiyo"."1,.~...,$...'d.m ....,..,,S7,"3 203,711 2l,1U 'd.20.4S 17,33l 9.101 10 "Namp.Canyon 4."11 21,20 '..11 ""un..d.m U57 107 ,.
Meddlan .d.1.l3S 23178 1.332 .'''..Eagla 'd...1.81 ...,GardanClty 'd.50.1.01 1,40 .Bol.....11.'11 5&.352 l.104 ..
B'Uftll """10 ",.Ow'"..,'"..MolalnH_Elmora 1...U ......EI__'.'"OS,53.Hamm.lI Elmo'..2 2GlonnaF.ny ...20 '50 77
SunVaday .,..'54 ..,.."m.....1,197 2.1'"'50Wiu.)'.,..'"1.42""7 ....2,131 6.149 1.0ø...vu-.,..21 ..'37...Go ...,.,...Gooni .....270S........,ao 20'"Uncoln ,..202 1.w......".m ".J....-91'U50 is ,I,om....'..is..Twln'.i.........Twin Fal. 4,"9 10.1A z.75,..TwlF.n "...77Twi'''Twin Fal. 3,237 1.01 1.01K_Twin FilII. ,.50'..N_Twin-'.u....,,...TwlnFaU."13 17
.w..""...1.469 ..eli..l....1,521 ,..",,.MI..'""..,Mlrtola '14 10''"R.."..,is ..2JPadMlnht.......D_C...I.14 "1$M'"C..i.7 ...RiiRl..Cu.l..".
Mo,el.:.ftsid Bingham 27 '"..8lngh_i.4""'"FOtIHan Bingham ..'"..B1Ktfooi Bingham U3l U"...
eu"1 Binham "...Fl'"BlAgham ...10 "Sh.ll 8ligh....,1.10 ,......on"",..'.W ,.80n"livll.4,117 1G.136 U"Idahf.Bonn-vill.",OM 10.75.2 2.311..~BonlWvllJi ....""".8onMv",_'"....
Rigby JatranOl ..2.'"_..-'""00 ..,Ri.Jiiff.raon IS .."i..vm.Jdaraon ..11 ""'OM Jafanon 50 '50 17Rubu'9 Madl.on '"4,322 ...Madlaon '"".751 '"$uvuCliy Madi.on ".4""Park..'ramon-t "'30 .fremoni ...OO '"St.Anty ,,.moni 20 56.'"
Lav. HoISprlngl Bannock SO '"51 Bannock $"'."..2.077BancroftCw_""...Çarlbo 2J 1.12 'OSGUIC.e..OS ..."SociiSprlngl Cw_13 .",.,o.orø-town B.......'"14 S.., La 21 .".......w ........m '94
AIn,lcanf.p-m ..10'Po..'"..,..Abi,ein Binham ,eo ,....,Chubbuck ....$$i.47 ,eoMoCiimo.-53 17 "'nkm Bannok "..,"POCiiceUO .-....,1"1,96
57,153 203,711 ....2 54 ..57,6 20.7U 26,002 54 eo
ZI1.500 lEST
ENTER
,..OF 2008 2008 2008 2008
C. CONY'S W.REGION W. REGION W.REGION~CONY. RATE PENT. RATE Commtl.RATE
11'1,8,..99%12%
2008 2008 ADD'l CUSTOMERS BY COUNTY 200 ADD'l CUSTOMERS BY PIPE DIST.
RES.COMM.HOUSEHOLD RS.l RS.2 GS RS.l RS.2 GS
CHURCH CHURCH ~CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS~~8,047 271 3,838 499
Washington 52';'40%37 1 19 2 Canyon
Payette 52%40%101 4 53 5 l;91 1.295 107
Sun Valley
Gem 52%40Y.78 40 4 !d 22 189 28
Canyon 93%85%1,389 91 1,295 107 Idaho Fallsl.191 1,673 135
AIlOlhe,l:327 3,720 514
Ada 52'1.75%4.246 155 2,194 377 631 6,957 782
2009 TOTAL CUSTOMERS BY PIPE DIST.
RS.l RS.2 GS
CUSTOMERS CUSTOMERS CUSTOMERS
Owyhee 120'1.20%71 8 85
Elmore 120%20'/,128 11 153 Canyon
,., OF 2008 2008 2008 200 l;7,377 33,787 3,158
ENTER-'CONY'S CEN. Dl.CEN.DIV.CENT.DIV.
COMM.~CONY. RATE ~Carom'. RATE Sun Valley
CHURCH CHURCH 12'/,15'1.97'4 14%l.3,043 8,520 1,276
CORR,.,~858 129 994 94
Blaine SS%112'1.157 17 131 24 Idallo Falls!d 10,290 33,08 4,817
Gooding 125'1.60'1,99 16 122 AIlOlhe,
Lincoln 125'1.GO'1a 31 5 38 l:37,574 137,172 17,567
Jerome 125%80'4 130 21 160 11 58,284 210,56 26,918
Twin Falls 125'/.80'.34 55 425 28
295,769
Cassia 126%160'/.89 14 110 19
Minidoka 126,..180'4 6 1 7 1
'!.OF 2008 2008 200 2008
ENTER-'E.CONY'S E.REGION E.REGION E. REGION
COMM.~CONY. RATE ~Comm'!. RATe
CHURCH CHURCH 11%13%87'1.14t¡.~~2,279 231 2,024 189
Bingham 85'1.61%135 12 101 10
Bonnevile 260%113'/.403 105 924 55
Jefferson 97%65%211 21 180 17
Madison 97%6S't.302 29 258 24
Fremont 97t¡.65%113 11 97
Bannock 46'1.59%934 43 375 87
Caribou 64'1.11'fa 69 4 39 1
Bear Lake 64'1.11'4 28 16
Power 46%59 84 4 34
9,184 831 8,857 782
7,487 8,289
%OF2009 200 2009 200
C.CONV'S W.REGION W. REGION W.REGION~~~Comm1.RATEENTER-.32"10 5%99%8~.
2009 2009 ADD'L CUSTOMERS BY COUNTY 2009 ADD'L CUSTOMERS BY PIPE DIST.COMM.HOUSEHOLD RS.l RS.2 GS RS.l RS.2 GS~CHURCH CHURCH ~CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERSCORR'I,~4,323 115 3,435 530Washington89%135%23 1 21 2 CanyonPayeno89%135~.74 2 66 8 ~43 1,262 130
Sun ValleyGem89-;.135%43 39 Lateral 19 192 23
Canyon 144"1.186'1 884 43 1,282 130 Idaho FallsYl 127 1,730 154
All Other ~160 3,122 518
Ada 60%149'1.3,187 64 1,911 375 349 6,325 825
0
200 TOTAL CUSTOMERS BY PIPE DIST.
RS.l RS.2 GS
CUSTOMERS CUSTOMERS CUSTOMERSOwyhee103'1,109%48 50Elmore103%109%84 66 Canyon
% OF 200 2009 200 200 &2 7,420 35,069 3,288ENTER..CONV'S CENT. DIY. CENT.DIV.CENT.DIV.
COMM.~CONV.RATE ei Comm'l. RATE Sun ValleyCHURCHCHURCH21%13%97%10'1,b!3,062 6,712 1,299CORR'I,~714 83 832 90Blaine119'1.152'1.138 16 184 20 Idaho Fallsb!10,416 34,819 5,071
Gooding 122%122%80 10 97 All Other L1ncoln 122~.122%23 3 28 ~37,734 140,294 18,085
Jerome 122%12211.122 15 148 14 58,633 216,893 27,744Twin Falls 122%122"1.283 34 34 33
303,269
Cassia 74%150%68 50 10Mlnidoka74%150 0 0 0
%OF2009 2009 200 200ENTER-..E.CONV'S E.REGION E. REGION E. REGION
COMM.~CONV.RATE ~Comm't. RATE
CHURCH CHURCH 31%11%87'1.10%~CORR%1.248 151 2,059 205Bingham106~.170%68 5 65 10
Bonnevile 456...390'1.250 75 1,024 85
Jefferson 143%115'/.100 128 10
Madison 143'4 115%200 19 256 20
Fremont 143"1.115'/.100 128 10
Bannock 98"1.150%480 31 424 63caribou53%180%,20 1 10 3
Bear Lake 53%180%,10
Power 98'1.150%20 18
6,285 349 6,325 825
6,674 7,500
V.OF 2010 2010 2010 2010
C.CONV'S W. REGION W.REGION W.REGION~CONY RATE PENT RATE Comm'l. RATE
ENTER.-.32'~5%99%8'1.
2010 2010 AOD'L CUSTOMERS BY COUNTY 2010 ADD'L CUSTOMERS BY PIPE DIST.
COMM.HOUSEHOLD RS.l RS.2 GS RS.l RS.2 GS~CHURCH CHURCH ~CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS~~3.568 91 2,709 44
WaSbington 85"1.75'1.21 1 18 1 Canyon
Payette 85'f,75'~99 3 84 8 ~49 1,452 100
Sun Valley
Gem 85'1.75%50 43 Yl 15 149 16
Canyon 141"~123'/.1,025 49 1,452 100 Idaho FallsY.117 1,594 133
All Oter
Customers 129 2,232 439
Ad.43'1.181'¡'2,227 32 987 320 310 5,426 689
2010 TOTAL CUSTOMERS BY PIPE DIST.
RS.1 RS.2 GS
CUSTOMERS CUSTOMERS CUSTOMERS
Owyhee 99'h 90%46 48
Elmore 99'f.90'~98 98 Canyon
'I. OF 2010 2010 2010 2010 ~7,469 38,521 3,388
ENTER~CONV'S CENT. DIY.CENT. DIY.CENT.DIV.ENTER-.COMM.~~~ Comm'l RATE Sun Valley
CHURCH CHURCH 21%13%97%1(W.Yl 3,077 6,660 1,317~~594 74 741 75
81alne 145%190'1,92 12 118 15 Idaho F.II.Y.10,534 36,413 5,204
Gooding 128'1.116';'75 10 96 All Other
Lincoln 128'~116%23 3 29 ~37,863 142,525 18,524
Jerome 128'1.116~,131 17 167 15 56,943 222,318 28,433
Twin Falls 128'~116V.212 27 271 24
309,894
Cassia 84%150 71 6 56 10
Minidoka 84'/.150.0 0 0 0
'f. OF 2010 2010 2010 2010
ENTER~E. CONVS E.REGION E.REGION E.REGION
COMM.~CONY RATE ~ Comm'I,RATE
CHURCH CHURCH 31%11'/,87%10%~~1,286 145 1,975 174
Bingham 105'1.118V,99 7 94 10
Bonneville 362'1.358'1,287 68 932 69
1000
Jefferson 155'/.143'1,100 10 140 12
Madison 155%143%150 15 210 19
Fremont 155%143'1,70 98 9
Bannock 98';'114%460 30 407 46
Caribou 84'~74%50 3 38 3
Bear Lake 84%74'¡.30 2 23
Power 98%114%40 35
5,_310 5,426 689
5,735 6,425
';'OF2010 2010 2010 2010
C.CONY'S W.REGION W.REGION W.REGION!i CONY, RATE ~ Comm'l. RATEENTER-'32"1,5"1,99%S'i.
2010 2010 ADD'L CUSTOMERS BY COUNT 2010 AOO'L CUSTOMERS BY PIPE DIST.
COMM.HOUSEHOLD RS.l RS.2 GS RS.l RS.2 GSi;CHURCH CHURCH INCREASE CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS
CORR%~3,568 91 2,709 440Washington85%75%21 1 18 1 CanyonPayetto85~.75%89 3 84 6 !d 49 1,452 100
Sun ValleyGem85%75%50 43 bi 15 148 18
Canyon 141"1,123%1,025 49 1,452 100 Idaho Fall.bi 117 1,594 133
AIlOthe,~129 2,232 439
Ada 43'1,181'1.2,227 32 967 320 310 5,426 689
0
2010 TOTAL CUSTOMERS BY PIPE OIST.
RS.l RS.2 GS
CUSTOMERS CUSTOMERS CUSTOMERSOwyh..99%90%48 48Elmore99%90%98 98 Canyon
'i. OF 2010 2010 2010 2010 !d 7,469 36,521 3,388
ENTER-'CONY'S CENT.DIV,CENT.DIV.CENT.OIV.
ENTER-'COMM.!i CONY RATE ~ Comm'l.RATE Sun Valley
CHURCH CHURCH 21%13%97%10'-'Lateral 3.077 8,860 1,317~~594 74 741 75
Blaine 145'1,190%82 12 118 15 Idaho Fallsbi 10,534 36,413 5,204
Gooding 128'1,116%75 10 96 AIIOthe,Lincoln 128"1,111"1,23 3 29 ~37,863 142.525 18,524
Jerome 128%116'.4 131 17 187 15 58,943 222,318 28,433
Twin Falls 128'4 116%212 27 271 24 30,694
Cassia 84"1,150-'71 59 10
Minidoka 84~.150%0 0 0
'I. OF 2010 2010 2010 2010ENER-"E.CONY'S E.REGION E.REGION E. REGION
COMM.!i CONV RATE ~ Comm'I.RAE
CHURCH CHURCH 31';'ii'"87%10%~~1,286 145 1,975 174Bingham105,.,118"-'99 7 94 10
Bonnevile 362%358'1,287 68 932 69
1000
Jefferson 155~.143'¡'100 10 140 12
Madison 155%143'"150 15 210 19
Fremont 155,.,143'1,70 98
Bannock 980/.114%460 30 407 48Caribou84"1.74'1.50 3 38 3
Bear Lake 84%74'10 30 23
Power 98':,114"/,40 35 4
5,448 310 5,426 6st
5,735 6,425
'I. OF 2011 2011 2011 2011
C. CONV'S W.REGION W.REGION W.REGION~CONV RATE ~ Comm"1 BAE
ENTER..32%5%99".10%
2011 2011 AOD'L CUSTOMERS BY COUNTY 2011 AOD'L CUSTOMERS BY PIPE DlST.
COMM.HOUSEHOLD RS.1 RS.2 GS RS.1 RS-2 GS
COUNTY CHURCH CHURCH ~CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS~CORR%4,983 110 3,290 410
Washington 81'1.55~0 34 1 28 2 Canyon
Payolte 81'1'55%102 3 83 8 lõ 49 1,452 90
Sun Valley
Gem 81'1.55'1.55 45 J.19 189 17
Canyon 134'/.85'1.1,075 49 1,452 90 Idaho Falls
lateral 139 1.897 134
AIlOlherCystomars 160 2,940 418
Ad.43".85%3,569 52 1,54 300 368 6,468 660
0 0 0
2011 TOTAL CUSTOMERS BY PIPE DIST.
RS.l RS-2 GS
CUSTOMERS CUSTOMERS CUSTOMERS
Owyhee 91".6801.59 54
Elmore 91%68'1'89 81 CanyOn
%OF2011 2011 2011 2011 lõ 7,517 37,972 3,478
ENTER-'CONYS CENT. DIY. CENT. DIY.CEN. DIY.
COMM.~CONV.RATE PENT. RATE Comm'. RATE Sun Va"ey
CHURCH CHURCH 21%13%97%10'10 i.3,096 7,049 1,334~~818 86 864 75
Blalno 125%120'/.128 16 159 15 Idaho FallsY!10,672 38,301 5,338
Gooding 10711/.86%93 10 99 All Other
Lincoln 107%86~.28 3 30 £i 38,024 145,465 18,942
Jerome 107./.86~.138 15 145 11 59,30 228,787 28,093
Twin Falls 107';'86%339 36 36 28
317,189
0
Cassia 73%110%87 63
Minidoka 73~.111W.7 5
%OF 2011 2011 2011 2011
ENTER..E.CONYS E.REGION E.REGION E.REGION
COMM,~CONY. RAE e! Comm'i' RA
CHURCH CHURCH 31%11.1.87',4 10',4~~1.448 170 2.315 175
Bingham 105%110%108 7 102 10
Bonnevlle 429%277\1/.290 82 1,118 70
Jefferson 145';'116%gO 117
Madison 145%116%220 21 287 22
Fremont 145%116%90 117
Bannock 100~,9W.540 38 48 46
Caribou 79".90%30 2 21 2
Saatlake 79%90%30 21
Power 100%97%50 45
7,249 386 6,48 660
6.835 7,495
'I. OF 2012 2012 2012 2012
C.CONVS W.REGION W.REGION W.REGION~CONY. RATE ~ Comm'l RATE
ENTER...'32"1.5%99%9'1.
2012 2012 ADD'L CUSTOMERS BY COUNTY 2012 ADD'L CUSTOMERS BY PIPE DIST.COMM.HOUSEHOLD RS.l RS.2 GS RS.l RS.2 GS~CHURCH CHURCH INCREASE CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS CUStOMERS CUSTOMERS~~3,370 91 2,709 480Washington87'1,1250/.19 1 17 2 CanyonPayette87%125'1.78 2 68 8 k2 47 1,403 95
Sun ValleyGem87'1.125%39 34 Laleral 14 141 23
Canyon 143%109%978 47 1,403 95 Idaho FallsY!132 1,796 169
All Other
Cuslomers 137 2.345 513
Ada 50%191'4 2,122 36 1,094 360 330 5.685 800
2012 TOTAL CUSTOMERS BY PIPE DIST.
RS.l RS.2 GS
CUSTOMERS CUSTOMERS CUSTOMERSOwhee92%85'1.56 52 4elmore92%85'1.80 74 6 Canyon
.", OF 2012 2012 2012 2012 ~7,564 39,375 3,573ENTER...'CONY'S CENT. DIY.CENT,OIY.CENT. DIY. CDMM.~CONY RATE PENT. RATE Comm'l. RATE Sun ValleyCHURCHCHURCH21'/.13%97"k 10%Yi 3,110 7,190 1,3579l9l6137878195Blaine171';'318%64 11 109 20 Idaho FallsYl 10,804 40,096 5,507
Gooding 128%131%63 80 AIlOlhe,Lincoln 128%131'/.25 32 ~38,161 147,810 19,455
Jerome 128%131%133 17 169 17 59,639 234,471 29,893Twin Falls 128%131%251 32 319 32
324,003
Cassia 94'1,203%77 72 15Minidoka94';'203'1.0 0 0
'I. OF 2012 2012 2012 2012
ENTER-'E,CONV"S E.REGION E.REGION E. REGION
COMM.GOINGRS2 CONY. RATE PENT. RATE Comm'l. RATE
CHURCH CHURCH 31l1,11'1.87l1.10'/.~CORR%1,283 161 2,194 225Bingham104%140'1.80 5 75 10
Bonnevile 548'1.462'1.223 81 1,099 90
Jefferson 146%155%90 118 12
Madison 146'/.155%200 19 282 27
Fremont 146%155%80 105 11
Bannock 100 150%510 34 457 67Caribou81'1.80%40 2 29 3
Bear Lake 81'1 80%30 22
Power 100'''150'/.30 27
5,268 330 5,685 800
6,015 6,814
"I. OF 2013 2013 2013 2013
C. CONY'S W.REGION W.REGION W.REGION~CONY. RATE ~ Comm'I.RATE
ENTER-"31%5%99%10%
2013 2013 ADD'L CUSTOMERS BY COUNTY 2013 ADD'L CUSTOMERS BY PIPE DIST.
COMM.HOUSEHOLD RS.l RS.2 GS RS.l RS.2 GS~CHURCH CHURCH ~CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS CUSTOMERS~~3,321 87 2,573 412
WaShington 88%9D-1t 21 1 19 2 Canyon
Paye1te 88.t.80'10 62 2 55 6 ~40 1.185 85
Sun Valley
Gem 8S.I,90'1,32 28 i.15 150 12
Canyon 139'/,101%851 40 1.11S 85 Idaho Fallsi.126 1,687 159
All Other
Customers 144 2,_440
Ada 52',4 136'/,2,228 39 1,161 300 325 5,465 696
2013 TOTAL CUSTOMERS BY PIPE DIST.
RS.l RS.2 GS
CUSTOMERS CUSTOMERS CUSTMERS
Owhe.99'1,130'/,48 2 48 6
Elmore 99'1,130Of,79 3 76 10 Canyon
%OF 2013 2013 2013 2013 ~7,604 40.560 3,658
CONYS CENT. DIY. CENT. DI. CENT. DIY.
ENTER-'COMM.~CONV.RATE ~ Comm'l.RATE Sun Valley
CHURCH CHURCH 20'1t 13%97'1,10%b!3,125 7.340 1,370~~635 63 621 70
Blaine 162',4 140%73 12 118 10 Idaho Falls~10,930 41,783 5.666
Gooding 130'/,105'/,44 57 All Other
Lincoln 130'/.105'1.25 32 ~38,30 150.254 19.895
Jerome 130%105%132 17 171 13 59.964 239,937 30,589
Twin Falls 130',4 105%267 38 371 29
330.489
Cassia 90't.140%74 73 10
Minidoka 99%140%0 0 0
%OF 2013 2013 2013 2013
E.CONY'S E.REGION E.REGION E.REGION
ENTER-"COMM.GOING RS2 CONV RATE WL Corom'!. RATE
CHURCH CHURCH 30'1,11'/,87%10%CORR'!CORR'I,1.191 154 2,071 215
Bingham 100°/,1520/,73 5 66 10
Bonneville 640'1,515',4 178 76 1.024 80
Jefferson 148'/.165'/,80 106 11
Madison 148%165'/.200 20 266 2l
Fremont 1480/.165%70 93 10
Bannock 100'/,152'/.490 33 43 85
Caribou 77%100%30 2 21 3
SalrLake 77%100lf.30 21
Power 100'/.152't.40 36
5.147 325 5,41S 696
5,790 6,487
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PEAK MONTH USAGE MODELS
NOVEMBER
Dependent Variable: NOVUSAGE
Method: Least Squares
Date: 06/27/07 Time: 11 :49
Sample (adjusted): 2 540
Included observations: 539 after adjustments
Convergence achieved after 9 iterations
Variable Coeffcient Std. Error t-Statistic Prob,
C 1.070040 0.098802 10.83012 0.0000
NOVDD 0,133292 0.003432 38.84326 0.0000
NOVWKND -0.245286 0.036826 -6.660725 0.0000
AR(1)0.419514 0.046814 8.961213 0.0000
R-squared 0.904921 Mean dependent var 4.685113
Adjusted R-squared 0,904388 S.D. dependent var 1.245553
S.E. of regression 0.385139 Akaike info criterion 0.936971
Sum squared resid 79,35780 Schwarz criterion 0.968805
Log likelihood -248.5136 F-statistic 1697.306
Durbin-Watson stat 2.080829 Prob(F -statistic)0.000000
Inverted AR Roots .42
DECEMBER
Dependent Variable: DECUSAGE
Method: Least Squares
Date: 06/27/07 Time: 11 :52
Sample (adjusted): 2 558
Included observations: 557 after adjustments
Convergence achieved after 7 iterations
Variable Coeffcient Std. Error t-Statistic Prob.
C 1.531076 0.131568 11.63714 0.0000
DECDD 0.134668 0.003542 38.02527 0.0000
DECWKND -0.180567 0.036424 -4.957365 0.0000
AR(1)0.533803 0.042943 12.43064 0.0000
R-squared 0,924666 Mean dependent var 6.329368
Adjusted R-squared 0.924257 S.D. dependent var 1.393604
S. E. of regression 0.383539 Akaike info criterion 0.928405
Sum squared resid 81.34757 Schwarz criterion 0.959447
Log likelihood -254.5609 F-statistic 2262.548
Durbin-Watson stat 2.065558 Prob(F-statistic)0.000000
Inverted AR Roots .53
JANUARY
Dependent Variable: JANUSAGE
Method: Least Squares
Date: 07/02/07 Time: 10:21
Sample (adjusted): 2 558
Included observations: 557 after adjustments
Convergence achieved after 6 iterations
Variable Coeffcient Std. Error t-Statistic Prob.
C 2.070805 0.132525 15.62574 0.0000
JANDD 0,120824 0.003573 33.81810 0.0000
JANWKND -0,153220 0,035740 -4.287008 0.0000
AR(1)0.592999 0.036825 16.10325 0.0000
R-squared 0.888195 Mean dependent var 6.290468
Adjusted R-squared 0.887589 S.D. dependent var 1.168125
S. E. of regression 0.391646 Akaike info criterion 0.970240
Sum squared resid 84,82292 Schwarz criterion 1.001282
Log likelihood -266,2119 F-statistic 1464.375
Durbin-Watson stat 2.154913 Prob(F-statistic)0.000000
Inverted AR Roots ,59
FEBRUARY
Dependent Variable: FEBUSAGE
Method: Least Squares
Date: 07/02/07 Time: 10:24
Sample (adjusted): 2 508
Included observations: 507 after adjustments
Convergence achieved after 7 iterations
Variable Coeffcient Std. Error t-Statistic Prob.
C 3.159213 0.248923 12.69154 0.0000
FEBDD 0.070523 0.006839 10.31211 0,0000
AR(1)0,781536 0.031148 25.09134 0.0000
R-squared 0.777638 Mean dependent var 5.394211
Adjusted R-squared 0,776755 S,D. dependent var 1.338502
S.E. of regression 0.632426 Akaike info criterion 1.927391
Sum squared resid 201.5809 Schwarz criterion 1.952412
Log likelihood -485.5937 F-statistic 881.2862
Durbin-Watson stat 1.932409 Prob(F-statistic)0.000000
Inverted AR Roots ,78
NON.PEAK MONTH MODELS
RS-1 Model
Dependent Variable: THERMS
Method: Least Squares
Date: 04/26/07 Time: 21:30
Sample: 1991M10 2007M02
Included observations: 185
Convergence achieved after 9 iterations
Variable Coeffcient Std. Error t-Statistic Prob.
C 10.77134 1.519611 7.088218 0.0000
JAN65 0,097648 0,001120 87.22387 0.0000
FEB65 0.095995 0.001253 76,62592 0.0000
MAR65 0,092055 0.001619 56,86033 0.0000
APR65 0,079063 0,001197 66.04962 0,0000
MAY65 0.065309 0.001755 37.22041 0.0000
JUN65 0,046792 0.003347 13,98085 0.0000
JUL65 0.029922 0.008270 3.618369 0.0004
SEP65 0,036511 0.005828 6,264693 0.0000
OCT65 0.056743 0.002267 25.02767 0.0000
NOV65 0.081053 0.001013 79,97935 0.0000
DEC65 0.093871 0.001264 74.25494 0.0000
SUMMERP -0,067164 0.018605 -3.610051 0.0004
WINTERP -0.103843 0.021461 -4.838626 0,0000
AR(1)0.675473 0,057503 11,74669 0.0000
R-squared 0,997921 Mean dependent var 49.50053
Adjusted R-squared 0.997750 S.D. dependent var 39,26917
S.E. of regression 1.862633 Akaike info criterion 4.159464
Sum squared resid 589.7986 Schwarz criterion 4.420574
Log likelihood -369.7505 F-statistic 5829.548
Durbin-Watson stat 1.871750 Prob( F-statistic)0.000000
Inverted AR Roots .68
RS-2 Model
Dependent Variable: THERMS
Method: Least Squares
Date: 05/20/07 Time: 14:03
Sample: 1991M10 2007M02
Included observations: 185
Convergence achieved after 5 iterations
Variable Coeffcient Std. Error t-Statistic Prob.
C 25.34002 1,106771 22.89545 0,0000
JAN65 0.119734 0.000733 163.2426 0.0000
FEB65 0.116639 0.000817 142.7766 0.0000
MAR65 0.110540 0.001064 103.9186 0.0000
APR65 0.100001 0.001363 73,39387 0.0000
MAY65 0.083829 0.002060 40.68427 0.0000
JUN65 0.068318 0.004066 16.80106 0.0000
JUL65 0.063384 0.010273 6.170073 0.0000
SEP65 0,061886 0.007743 7.992073 0.0000
OCT65 0.069791 0.002743 25.44498 0.0000
NOV65 0.099880 0.001169 85.40960 0.0000
DEC65 0.114148 0.000814 140.1580 0.0000
PRICE -0.101615 0,015159 -6,703312 0.0000
AR(1)0.507813 0.065897 7.706174 0.0000
R-squared 0.998068 Mean dependent var 73.60477
Adjusted R-squared 0.997921 S.D. dependent var 48.31545
S,E. of regression 2.202775 Akaike info criterion 4.489972
Sum squared resid 829,7290 Schwarz criterion 4.733674
Log likelihood -401,3224 F-statistic 6796.207
Durbin-Watson stat 2.043985 Prob(F-statistic)0.000000
Inverted AR Roots .51
GS Model
Dependent Variable: THERMS
Method: Least Squares
Date: 05/31/07 Time: 14:18
Sample (adjusted): 1991 M11 2007M02
Included observations: 184 after adjustments
Convergence achieved after 7 iterations
Variable Coefficient Std. Error t-Statistic Prob.
C 116.4050 5.033869 23.12436 0.0000
JAN65 0.495464 0.006528 75,90173 0,0000
FEB65 0.481324 0.007264 66.25725 0.0000
MAR65 0.449399 0.009211 48.78989 0.0000
APR65 0.341718 0.009112 37,50134 0.0000
MAY65 0.240258 0.012707 18,90703 0.0000
JUN65 0,138777 0.021375 6.492471 0.0000
SEP65 0.309862 0.046039 6.730450 0.0000
OCT65 0.283426 0.025539 11.09793 0.0000
NOV65 0,380419 0.010670 35.65305 0.0000
DEC65 0.468747 0.007322 64.01959 0.0000
WTREND_Y2Y -2.545998 0.617939 -4,120147 0.0001
AR(1)0.709857 0.056912 12.47284 0.0000
R-squared 0.994514 Mean dependent var 324.8752
Adjusted R-squared 0.994129 S.D. dependent var 198.3481
S,E. of regression 15.19790 Akaike info criterion 8.348224
Sum squared resid 39496.94 Schwarz criterion 8.575366
Log likelihood -755.0366 F-statistic 2583.268
Durbin-Watson stat 2.162432 Prob(F-statistic)0.000000
Inverted AR Roots .71
REGRESSION EQUATIONS
NON.PEAK MONTHS
NOVEMBER = 1.070 - 0.245(weekend; yes=1, no=2) + 0.133(design 65HDD)
DECEMBER = 1.531-0.181(weekend; yes=1, no=2) + 0.135(design 65HDD)
JANUARY = 2.071 - 0.153(weekend; yes=1, no=2) + O.121(design 65HDD)
FEBRUARY = 3.16 + 0.071 (design 65HDD)
PEAK MONTHS
RS-1 = 10.77/days in month + monthly coefficient(design 65HDD) - ((summer or
winter price coeffcient)*(price))/days in month
RS-2 = 25.34/days in month + monthly coeffcient(design 65HDD) -
(0.102(price))/days in month
GS = 116.41/days in month + monthly coeffcient(design 65HDD) - (2.546(year
of trend))/days in month
Final report for Intermountain Gas Corporation
Estimating Short-run and Long-run Price Elasticities of
Natural Gas Demand for Intermountain Gas Corporation
Company Data Description - Two figures are presented for each distribution company.
The first is the anual winter use per customer. The second figure contains four graphs:
Total Consumption, Actual and Weather Normal Use per Customer, the Number of
Customers, and Natural Gas Prices (nominal and $2000 prices.) When there is more than
one distribution company per corporation, the same figure numbers wil apply and a letter
wil be added to distinguish between the companies. There is a single company for the
Intermountain Gas Corporation.
Figure L.A
Intermountain - Annual Winter Use Per Customer
90
80 - --- ----- ------ --- - - - - ----- ----- ------- ----- -------------- -------
70rn
E(I
:6a:~
~
40
30
1992 1994 1996 1998 2000 2002 2004 2006
1- Actual .. Weather Normal I
Final report for Intermountain Gas Corporation
Figure 2.A
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Final report for Intermountain Gas Corporation
Empirical Results
Although the following individual LDC results are useful as a point of reference, from a
statistical reliabilty point of view, we recommend Corporations base Policy and Rate
Case decisions on the Regional and National results found in the main text.
The regression output for Southern Idaho LDC is given in Tables 1 and 2. In Table 1, we
do not observe a statistically significant shift in elasticity in year 2000 and beyond. In
Table 2, the short-run elasticity is -0.08 and the long-run elasticity is -0.16. We also
observe in Table 2 an anual increasing rate of weather normal use per customer demand
of 0.1 %, which is not statistically significant.
Table 1: OLS Output
Intermountain
Dep. Var. - Log Weather Normal Residential Gas Consumption per Day
Equation 4a: Includes Price Shift in 2000'
Included observations: 93
Variable Coeffcient Std. Error t-Statistic Prob,
LN(Price( -1))-0.065914 0.028150 -2,341524 0,0216
DSOO*LN(Price( -1)J -0.005077 0.008976 -0.565698 0.5731
LN(Price(-12)J -0.074321 0.023537 -3.157638 0.0022
DM10 0.445718 0.049702 8.967762 0,0000
DM11 1.247676 0.049893 25.00691 0.0000
DM12 1.696697 0.049095 34.55922 0.0000
DM1 1.902363 0.047283 40.23382 0.0000
DM2 1.845599 0.047403 38.93390 0.0000
DM3 1.430984 0.047539 30.10120 0.0000
Time Trend 0,001318 0.001374 0.959151 0.3403
R-squared 0,997057 Mean dependent var 1.210126
Adjusted R-squared 0.996738 S.D. dependent var 0.498432
S.E, of regression 0.028466 Akaike info criterion -4.178932
Sum squared resid 0.067255 Schwarz criterion -3.906610
Log likelihood 204.3203
3
Final report for Intermountain Gas Corporation
Table 2: OLS Output
Intermountain
Dep. Var. - Log Weather Normal Residential Gas Consumption per Day
Equation 4b: No Price Shift in 2000'
Included observations: 93
Variable Coeffcient Std. Error t-Statistic Prob.
LN(Price(-1))-0.075968 0,021741 -3.494201 0.0008
LN(Price(-12))-0.076945 0.022982 -3.348098 0.0012
DM10 0.466615 0.033118 14.08926 0.0000
DM11 1.268647 0.033257 38,14625 0,0000
DM12 1,717485 0.032424 52.97010 0.0000
DM1 1.922032 0.031913 60.22787 0.0000
DM2 1.865290 0.032048 58.20380 0.0000
DM3 1.450728 0.032146 45.12872 0.0000
Time Trend 0.000921 0.001177 0.782790 0.4360
R-squared 0.997046 Mean dependent var 1.210126
Adjusted R-squared 0.996765 S.D. dependent var 0.498432
S.E. of regression 0.028350 Akaike info criterion -4.196589
Sum squared resid 0.067514 Schwarz criterion -3.951499
Log likelihood 204.1414
* Equations (4a) and (4b) are given on p. 21 in the main text.
4
Nov Date NOVusage NOVwknd NOVDD NovP
11/1/89 5.139999866 0 30,99 49.11847
11/2/89 4.659999847 0 31.24 49.11847
11/3/89 3.380000114 0 26.86 49.11847
11/4/89 3.609999895 1 19.54 49.11847
11/5/89 4.289999962 1 24.34 49.11847
11/6/89 4.409999847 0 27.63 49.11847
11/7/89 4.78000021 0 23.06 49.11847
11/8/89 3.609999895 0 26.12 49.11847
11/9/89 3.069999933 0 16.96 49.11847
11/10/89 2,710000038 0 14.68 49.11847
11/11/89 2,579999924 1 17.04 49.11847
11/12/89 3.269999981 1 19.43 49.11847
11/13/89 4.28000021 0 21.15 49.11847
11/14/89 5.369999886 0 28.35 49.11847
11/15/89 5.099999905 0 31.79 49.11847
11/16/89 4.659999847 0 30.34 49,11847
11/17/89 3.99000001 0 27.03 49.11847
11/18/89 3.74000001 1 23.33 49.11847
11/19/89 4.260000229 1 25.48 49.11847
11/20/89 4.760000229 0 26.31 49.11847
11/21/89 4.849999905 0 27.44 49.11847
11/22/89 4,25 0 27.4 49.11847
11/23/89 3.869999886 1 30.59 49.11847
11/24/89 4.690000057 0 26.31 49.11847
11/25/89 4.28000021 1 30.41 49.11847
11/26/89 5.739999771 1 28.92 49.11847
11/27/89 6.650000095 0 34.8 49.11847
11/28/89 6.96999979 0 38.12 49.11847
11/29/89 7.309999943 0 38.84 49.11847
11/30/89 7.260000229 0 40.17 49.11847
11/1/90 4.989999771 0 24.73 50.795419
11/2190 4.800000191 0 30.96 50.795419
11/3/90 3.730000019 1 32.88 50,795419
11/4/90 4.119999886 1 25.83 50.795419
11/5/90 5.210000038 0 26.75 50.795419
11/6/90 5.670000076 0 30.61 50.795419
11/7/90 4.960000038 0 34.51 50.795419
11/8/90 3.650000095 0 25.06 50.795419
1119/90 3.059999943 0 17,23 50.795419
11/10/90 2.940000057 1 14.71 50.795419
11/11/90 3.460000038 1 20.31 50.795419
11/12/90 3.809999943 0 20.54 50.795419
11/13/90 3.25 0 18.04 50.795419
11/14/90 4.349999905 0 21.27 50.795419
11/15/90 4.849999905 0 28.96 50.795419
11/16/90 4.070000172 0 28.56 50.795419
11/17/90 3.230000019 1 24.54 50.795419
11/18/90 4.239999771 1 23.7 50.795419
11/19/90 4.489999771 0 26.88 50.795419
11/20/90 5.690000057 0 28.58 50.795419
11/21/90 4.519999981 0 30.4 50.795419
11/22/90 4.150000095 0 24.1 50,795419
11/23/90 3.359999895 0 21.66 50.795419
11/24/90 3.220000029 1 17,22 50.795419
11/25/90 5.050000191 1 19,7 50.795419
11/26/90 6.559999943 0 31.63 50.795419
11/27/90 6.179999828 0 36.79 50.795419
11/28/90 5.860000134 0 33.89 50.795419
11/29/90 4.619999886 1 29.74 50.795419
11/30/90 5.800000191 0 30.38 50.795419
11/1/91 6.409999847 0 34.32 50.153874
11/2/91 6.96999979 1 40.82 50.153874
11/3/91 5.980000019 1 42.79 50.153874
11/4/91 5.389999866 0 35.48 50.153874
11/5/91 4.630000114 0 29.89 50.153874
11/6/91 4.079999924 0 25.82 50.153874
11/7/91 3.950000048 0 22.05 50.153874
11/8/91 2.980000019 0 21,01 50.153874
11/9/91 3.029999971 1 19,01 50.153874
11/10/91 3.779999971 1 23.13 50.153874
11/11/91 4.03000021 0 24.63 50.153874
11/12/91 3.569999933 0 25.01 50.153874
11/13/91 4.710000038 0 23.72 50.153874
11/14/91 5.230000019 0 27.74 50.153874
11/15/91 5.190000057 0 31,34 50.153874
11/16/91 4.179999828 1 30,11 50.153874
11/17/91 4.610000134 1 25,13 50,153874
11/18/91 5.289999962 0 27.47 50.153874
11/19/91 4.739999771 0 29.36 50.153874
11/20/91 4.889999866 0 25.33 50.153874
11/21/91 5.860000134 0 30.12 50.153874
11/22/91 6,289999962 0 34.83 50.153874
11/23/91 5.619999886 1 37,48 50.153874
11/24/91 5.420000076 1 35,74 50,153874
11/25/91 4.949999809 0 29.43 50.153874
11/26/91 4.389999866 0 27.43 50.153874
11/27/91 4.690000057 0 27.79 50.153874
11/28/91 4.989999771 1 34.53 50.153874
11/29/91 6.28000021 0 35.17 50.153874
11/30/91 6.78000021 1 44.78 50,153874
11/1/92 2.650000095 1 19.53 49.722412
11/2/92 4.119999886 0 21.66 49.722412
11/3/92 4.409999847 0 27.86 49.722412
11/4/92 4.809999943 0 30.37 49.722412
11/5/92 4.769999981 0 28.18 49.722412
11/6/92 3,940000057 0 27.06 49.722412
11/7/92 3.900000095 1 24.7 49.722412
11/8/92 4.480000019 1 26.51 49.722412
11/9/92 5.679999828 0 31.42 49.722412
11/10/92 6.059999943 0 35.35 49.722412
11/11/92 5.239999771 0 33.36 49.722412
11/12/92 5.090000153 0 31.09 49.722412
11/13/92 4.769999981 0 28.51 49.722412
11/14/92 4,480000019 1 28.04 49.72241211/15/92 4.340000153 1 27.64 49.72241211/16/92 4.559999943 0 26.94 49.722412
11/17/92 4.739999771 0 27.55 49.72241211/18/92 4.909999847 0 26.92 49.722412
11/19/92 5.730000019 0 28.53 49,72241211/20/92 6.059999943 0 32.27 49,72241211/21/92 5.849999905 1 35.96 49.72241211/22/92 5.340000153 1 31.2 49.72241211/23/92 6,789999962 0 36,79 49.722412
11/24/92 7.619999886 0 43.32 49.72241211/25/92 8.210000038 0 47.05 49.72241211/26/92 7.659999847 1 47.76 49.722412
11/27/92 7.360000134 0 47,51 49.72241211/28/92 6.800000191 1 45.13 49.72241211/29/92 7.360000134 1 44.27 49.72241211/30/92 7.199999809 0 42.56 49.72241211/1/93 4.349999905 0 25.19 54.76597811/2/93 3.910000086 0 25.26 54.76597811/3/93 3.690000057 0 15.69 54.76597811/4/93 4.320000172 0 25,56 54.765978
11/5/93 4.880000114 0 31.12 54.76597811/6/93 4,909999847 1 32,34 54.76597811/7/93 4.710000038 1 31.57 54.765978
11/8/93 5.400000095 0 32.14 54.76597811/9/93 5.46999979 0 32.58 54.76597811110/93 5.190000057 0 28.3 54.76597811/11/93 5.019999981 0 29.48 54.76597811/12/93 5 0 28.79 54.76597811/13/93 5.380000114 1 31.79 54.76597811/14/93 4.889999866 1 30.32 54.76597811/15/93 5.269999981 0 32.26 54.76597811/16/93 4.559999943 0 25.55 54.76597811/17/93 4.769999981 0 27.12 54.76597811/18/93 6.099999905 0 32.32 54.76597811/19/93 6.179999828 0 36.72 54.76597811/20/93 5.840000153 1 35.52 54.76597811/21/93 4.769999981 1 33,65 54.76597811/22/93 5.75 0 27.46 54.765978
11/23/93 7.900000095 0 43.25 54.76597811/24/93 9.06000042 0 54.12 54.76597811/25/93 8.930000305 1 56.73 54.76597811/26/93 9.420000076 0 56,56 54.76597811/27/93 8.5 1 54.05 54.76597811/28/93 7,110000134 1 44.46 54.76597811/29/93 5.860000134 0 33.86 54.76597811/30/93 5.449999809 0 30.4 54.76597811/1/94 4.650000095 0 17.75 54.5165511/2/94 5.789999962 0 30.78 54.5165511/3/94 5.590000153 0 36.68 54.51655
11/4/94 5.489999771 0 32.66 54,5165511/5/94 4.059999943 1 25.25 54.51655
11/6/94 3.940000057 1 23.52 54.5165511/7/94 5.289999962 0 27.89 54.51655
11/8/94 5.070000172 0 33.1 54.51655
11/9/94 4.46999979 0 26.53 54.5165511/10/94 4.28000021 0 23.82 54.51655
11/11/94 4.369999886 0 27.28 54.5165511/12/94 5.300000191 1 28.74 54,5165511/13/94 5.480000019 1 32.9 54.51655
11/14/94 5.920000076 0 32.9 54.5165511/15/94 5.769999981 0 31.66 54.51655
11/16/94 6.150000095 0 30.72 54.51655
11/17/94 6.630000114 0 36.03 54,5165511/18/94 6.880000114 0 41.84 54.51655
11/19/94 6.679999828 1 44.4 54.5165511/20/94 6.739999771 1 40.89 54.5165511/21/94 7.489999771 0 46.92 54.51655
11/22/94 8.119999886 0 48.75 54.5165511/23/94 7.170000076 0 48.23 54.5165511/24/94 5.929999828 1 39.68 54.51655
11/25/94 5.900000095 0 31.74 54.5165511/26/94 6.170000076 1 37.77 54.51655
11/27/94 7.010000229 1 42.49 54.51655
11/28/94 6.769999981 0 39.18 54.5165511/29/94 6.440000057 0 36.96 54.5165511/30/94 5.110000134 0 26.48 54.51655
11/1/95 5,800000191 0 37.22 51.24981711/2/95 6.159999847 0 36.61 51.249817
11/3/95 5,849999905 0 34.75 51.24981711/4/95 4.829999924 1 33.96 51.24981711/5/95 4 1 19,82 51.249817
11/6/95 4.150000095 0 24.5 51.249817
11/7/95 3,74000001 0 18.82 51.24981711/8/95 3.00999999 0 13.93 51.24981711/9/95 4.539999962 0 21.97 51.24981711/10/95 4.349999905 0 30.39 51.249817
11/11/95 3.25 1 18.57 51,24981711/12/95 3.00999999 1 16.93 51.24981711/13/95 2.75999999 0 14.27 51.249817
11/14/95 3.069999933 0 18.29 51.24981711/15/95 3.059999943 0 18.62 51.249817
11/16/95 3.299999952 0 17.52 51.249817
11/17/95 2.970000029 0 18.92 51.24981711/18/95 3.140000105 1 17.61 51.24981711/19/95 3.769999981 1 23.24 51,249817
11/20/95 3.99000001 0 20.98 51.24981711/21/95 4.110000134 0 23.3 51.24981711/22/95 3.349999905 0 19.14 51.249817
11/23/95 3,170000076 1 20,82 51.24981711/24/95 3.349999905 0 15.07 51.24981711/25/95 3.470000029 1 16.56 51.249817
11/26/95 4.480000019 1 24.56 51.24981711/27/95 4.960000038 0 29.38 51.249817
11/28/95 4.190000057 0 23.06 51,24981711/29/95 3.019999981 0 14.94 51.249817
11/30/95 3.099999905 0 14,27 51.249817
11/1/96 3.970000029 0 24,51 50.523432
11/2/96 3.609999895 1 22.12 50.523432
11/3/96 3.599999905 1 22.99 50.52343211/4/96 4.880000114 0 24.76 50.523432
11/5/96 5.539999962 0 30.91 50.523432
11/6/96 5.070000172 0 32.3 50.523432
11/7/96 4.119999886 0 24,6 50.523432
11/8/96 3.890000105 0 21.09 50.52343211/9/96 3.640000105 1 21.42 50.523432
11/10/96 3.690000057 1 22 50.523432
11/11/96 4.289999962 0 23.05 50.523432
11/12/96 3.920000076 0 23.33 50.523432
11/13/96 3.519999981 0 18.93 50,52343211/14/96 4.829999924 0 24.48 50.523432
11/15/96 5.099999905 0 30.17 50.523432
11/16/96 4.690000057 1 30.54 50.523432
11/17/96 4,650000095 1 26.3 50.523432
11/18/96 3.349999905 0 17.31 50.523432
11/19/96 3.079999924 0 9.18 50.523432
11/20/96 3.980000019 0 20.04 50.523432
11/21/96 3,920000076 0 23.32 50.523432
11/22/96 4.070000172 0 22,2 50.523432
11/23/96 4.150000095 1 26.79 50.52343211/24/96 4.139999866 1 25,66 50.523432
11/25/96 5.039999962 0 27.51 50.52343211/26/96 5.679999828 0 33.29 50.523432
11/27/96 4.78000021 0 29.91 50.523432
11/28/96 4.909999847 1 27.57 50.52343211/29/96 5.78000021 0 34.07 50.523432
11/30/96 5.269999981 1 34.68 50.523432
11/1/97 3,662313226 1 23.05 50.925752
11/2/97 3.45907985 1 23.59 50.925752
11/3/97 4.519504918 0 23,79 50.925752
11/4/97 3.372736307 0 21.02 50.925752
11/5/97 3.069954761 0 16.12 50.925752
11/6/97 2.544762955 0 13.39 50.925752
11/7/97 3.183265396 0 18.36 50.925752
11/8/97 3.644870101 1 25.74 50.925752
11/9/97 3.636123639 1 24.03 50.925752
11/10/97 4.088700813 0 25.98 50.92575211/11/97 4.569522241 0 26.65 50.925752
11/12/97 4.834119842 0 28.89 50.925752
11/13/97 4.933709837 0 29.27 50.925752
11/14/97 5.309664694 0 32.25 50.925752
11/15/97 5.131720136 1 32.98 50.925752
11/16/97 4.531673961 1 30.85 50.92575211/17/97 4.491417951 0 25.28 50,92575211/18/97 4.389774962 0 27.01 50.925752
11/19/97 4.424353237 0 21.56 50.925752
11/20/97 4,712260035 0 24,35 50.925752
11/21/97 5.040435967 0 27.46 50,925752
11/22/97 5.020801568 1 29.87 50.925752
11/23/97 4.086625313 1 24.34 50.925752
11/24/97 3.645443671 0 20.75 50.925752
11/25/97 4.241443008 0 25.04 50.925752
11/26/97 4.736807818 0 29.22 50.925752
11/27/97 3.980742107 1 26.32 50.925752
11/28/97 4.216012576 0 25.78 50.925752
11/29/97 4.561531795 1 27.96 50.925752
11/30/97 4.697945532 1 30.19 50.925752
11/1/98 3.716171445 1 22.15 50.052225
11/2/98 4.269097014 0 25.79 50.052225
11/3/98 4.004397459 0 25.92 50.052225
11/4/98 3.761721536 0 22.22 50.052225
11/5/98 4,127569683 0 23 50.052225
11/6/98 4.605485506 0 26,64 50.052225
11/7/98 4.95123586 1 28,24 50.052225
11/8/98 5.298329603 1 28.95 50.052225
11/9/98 5.585743121 0 32.02 50.052225
11/10/98 5.374352486 0 30.95 50.052225
11/11/98 5.246884473 0 28.37 50.052225
11/12/98 4.547191599 0 26.64 50.052225
11/13/98 4.008248426 0 21.41 50.052225
11/14/98 3.538093194 1 20.81 50.052225
11/15/98 3.454341569 1 17.37 50.052225
11/16/98 3.643832787 0 20,33 50,052225
11/17/98 4.757169324 0 22.18 50.052225
11/18/98 4.955417232 0 27.78 50.052225
11/19/98 4.766260739 0 28.11 50.052225
11/20/98 4.625205358 0 24,02 50.052225
11/21/98 4.29463987 1 17.32 50.052225
11/22/98 4.361155541 1 22.58 50.052225
11/23/98 4.188180029 0 17.24 50.052225
11/24/98 4.63546669 0 20.71 50.052225
11/25/98 4.463309604 0 20.26 50.052225
11/26/98 2.924678789 1 13.8 50.052225
11/27/98 3.889091068 0 22.23 50.052225
11/28/98 4.396170651 1 24.53 50.052225
11/29/98 4.894272654 1 26.1 50.052225
11/30/98 4.008747474 0 17.95 50.052225
11/1/99 4.450747732 0 26.65 54.210174
11/2/99 3.832855568 0 22.5 54.210174
11/3/99 3.486141038 0 20.31 54.210174
11/4/99 2.86367307 0 15.23 54.210174
11/5/99 3.105404744 0 17.78 54.210174
11/6/99 2.132029818 1 10.71 54,210174
11/7/99 2.071519297 1 9,15 54.210174
11/8/99 2,789991456 0 12.57 54.210174
11/9/99 3.298170285 0 17.93 54.210174
11/10/99 2.838083628 0 15.34 54.210174
11/11/99 2.309892788 0 8.1 54.210174
11/12/99 2.507147206 0 11.78 54.210174
11/13/99 2.731418837 1 14.1 54.210174
11114/99 3,110251733 1 18.45 54.210174
11/15/99 4.132425863 0 20.67 54.210174
11/16/99 3.424656869 0 21.43 54,210174
11/17/99 4.576013596 0 23.76 54.210174
11/18/99 4.451389057 0 29.17 54.210174
11/19/99 4.303637245 0 26.34 54.210174
11/20/99 4.361613959 1 22.8 54.210174
11/21/99 5.333833858 1 32 54.210174
11/22/99 5.753116302 0 35.28 54.210174
11/23/99 5.553120464 0 34.7 54.210174
11/24/99 4.80860631 0 31.38 54.210174
11/25/99 3.490649915 1 21.88 54,210174
11/26/99 3,258529518 0 16.76 54.210174
11/27/99 3.518725869 1 21.01 54.210174
11/28/99 4.057687206 1 25.14 54.210174
11/29/99 3,7835141 0 20.69 54.210174
11130/99 3.105768999 0 14.27 54,210174
11/1/00 4.728832164 0 26.7 69.612146
11/2/00 4.80350096 0 27.76 69.612146
11/3/00 4.263584255 0 27.67 69.612146
11/4/00 4.051134702 1 23,3 69.612146
11/5/00 4.394969755 1 26,56 69.612146
11/6/00 4,957143718 0 29.07 69.612146
11/7/00 5,05952767 0 33.6 69.612146
11/8/00 5.765910069 0 33.45 69.612146
11/9/00 5.382177686 0 33.22 69.612146
11/10/00 6.206767421 0 37.45 69.612146
11/11/00 6.149709396 1 39.91 69,612146
11/12/00 6.578620534 1 39.63 69.612146
11/13/00 6.497997564 0 37.25 69.612146
11/14/00 6.424306417 0 37.28 69.612146
11/15/00 6.806880282 0 38.6 69.612146
11/16/00 6.918511219 0 42.28 69.612146
11/17/00 7.327210146 0 44.1 69.612146
11/18/00 6,954948244 1 44.46 69.612146
11/19/00 7.202558753 1 43.67 69.612146
11/20/00 7.091035173 0 40.37 69.612146
11/21/00 6.541102177 0 38.96 69.612146
11/22/00 6.463371568 0 36.32 69,612146
11/23/00 6.097503965 1 37.6 69.612146
11/24/00 6,33029666 0 37.26 69.612146
11/25/00 5,795144547 1 35.22 69.612146
11/26/00 5.212353799 1 30.63 69.612146
11/27/00 5.554565152 0 27.05 69.612146
11/28/00 6.044282836 0 35.01 69.612146
11/29/00 5.605552918 0 28.43 69.612146
11/30/00 5.340839622 0 28.76 69.612146
11/1/01 2.548485758 0 15.19 85.170305
11/2/01 2.574808224 0 15.24 85.170305
11/3/01 2.656834986 1 17.46 85.170305
11/4/01 2.808778298 1 16.83 85.170305
11/5/01 2.891744447 0 16.44 85,170305
11/6/01 3.499986603 0 20.79 85.170305
11/7/01 4.309546869 0 26,97 85.170305
11/8/01 4.341088729 0 25.28 85.170305
11/9/01 4.097444196 0 26.06 85,170305
11/10/01 3.741567827 1 24.94 85.170305
11/11/01 3.060521992 1 22.44 85.170305
11/12/01 2.708110803 0 15.14 85,170305
11/13/01 2.849968641 0 15.36 85.170305
11/14/01 3.14131005 0 16,71 85.170305
11/15/01 2.823742685 0 16.15 85.170305
11/16/01 2.769685774 0 15.48 85.170305
11/17/01 3.33629218 1 22 85.170305
11/18/01 3,834313647 1 25.7 85.170305
11/19/01 3.641111352 0 22.42 85,170305
11/20/01 3,085099784 0 20.5 85.170305
11/21/01 3.231257722 0 18.26 85.170305
11/22/01 3.723410847 1 21.46 85.170305
11/23/01 4.707493044 0 28.11 85.170305
11/24/01 5.249084832 1 31.2 85.170305
11/25/01 5.233194735 1 30.32 85.170305
11/26/01 5.942686298 0 34.06 85.170305
11/27/01 6,774362981 0 40.73 85.170305
11/28/01 7.095964497 0 38,82 85.170305
11/29/01 5.827487842 0 31.65 85.170305
11/30/01 6.298997466 0 37.3 85.170305
11/1/02 6.458032178 0 42.62 61,150215
11/2/02 6.152034737 1 40,9 61.150215
11/3/02 5.838095238 1 37.16 61.150215
11/4/02 5.644818491 0 36.04 61.150215
11/5/02 5.354446899 0 32.73 61.150215
11/6/02 4.368015956 0 27.78 61.150215
11/7/02 3.610512508 0 18.18 61.150215
11/8/02 3.570030217 0 17.9 61.150215
11/9/02 3.796260856 1 21.77 61.150215
11/10/02 3.806959685 1 22.85 61.150215
11/11/02 4,026552055 0 23,06 61.150215
11112/02 3.923123934 0 22,23 61.150215
11/13/02 3.637134739 0 22,03 61.150215
11/14/02 4.324275071 0 23.95 61.150215
11/15/02 4.370399546 0 27.11 61.150215
11/16/02 4,013720893 1 24.1 61.150215
11/17/02 4.152702943 1 24.69 61.150215
11/18/02 4,364228055 0 26.72 61.150215
11/19/02 3.700448529 0 22.06 61.150215
11/20/02 3,667372899 0 21.79 61.150215
11/21/02 3.49161964 0 19.66 61.150215
11/22/02 3.564438225 0 22.81 61.150215
11/23/02 3.693425431 1 22.74 61.150215
11/24/02 5.29836612 1 31.48 61.150215
11/25/02 5.960177996 0 36.41 61.150215
11/26/02 5.731836484 0 35.12 61.150215
11/27/02 5.44664533 0 33.83 61.150215
11/28/02 4.851332634 1 31.14 61.150215
11/29/02 5.037539742 0 32.31 61.150215
11/30/02 4.763333948 1 30.87 61.150215
11/1/03 4.830352937 1 37,77 81.620917
11/2103 4.472468873 1 33,88 81.620917
11/3/03 5.039383812 0 30.59 81,620917
11/4/03 5.763730116 0 37.76 81.620917
11/5/03 5.942873349 0 38.47 81.620917
11/6/03 5.598203729 0 35.3 81.620917
11/7/03 4.981707218 0 33.46 81.620917
11/8/03 3.970343165 1 25.72 81.620917
11/9/03 4.035793406 1 25.2 81.620917
11110/03 3.678060606 0 22.05 81.620917
11/11/03 3.992795878 0 18.51 81.620917
11/12/03 4.409537801 0 27.36 81.620917
11/13/03 4.948569631 0 32 81.620917
11/14/03 4.205584493 0 29.73 81.620917
11/15/03 3.833991458 1 24,53 81.620917
11/16/03 3.934100098 1 22.94 81.620917
11/17/03 4.267061646 0 23.93 81,620917
11/18/03 3.423536132 0 20.08 81.620917
11/19/03 3.205842621 0 13.07 81,620917
11/20/03 4.689785422 0 28.63 81.620917
11/21/03 5.674308021 0 35.38 81,620917
11/22/03 6.666184994 1 41.95 81.620917
11/23/03 6.060665629 1 39.71 81.620917
11/24/03 6.09260477 0 33.72 81,620917
11/25/03 5.975995832 0 36.5 81.620917
11/26/03 5.656610968 0 32.95 81.620917
11/27/03 5.396097866 0 35,18 81.620917
11/28/03 4.678453118 0 28.63 81.620917
11/29/03 4.187313063 1 25.85 81.620917
11/30/03 4.056230517 1 23.38 81.620917
11/1/04 4.943375214 0 31.41 89.546039
11/2/04 3.778039773 0 23.4 89.546039
11/3/04 4.290809178 0 24.86 89.546039
11/4/04 3.879290048 0 23.58 89,546039
11/5/04 3.678345563 0 23.27 89.546039
11/6/04 3.848230213 1 25.65 89.546039
11/7/04 4.029633153 1 27.26 89.546039
11/8/04 4.405746248 0 27,37 89.546039
11/9/04 3.735894021 0 23.83 89.546039
11/10/04 3.523113638 0 22.29 89.546039
11/11/04 3.451381524 0 21.47 89.546039
11/12/04 3.425139261 0 22,18 89.546039
11/13/04 3.688203966 1 23.29 89.546039
11/14/04 4.043811556 1 23.62 89.546039
11/15/04 3.741014086 0 23.41 89.546039
11/16/04 4.145280229 0 25.4 89.546039
11/17/04 4.317952157 0 28 89.546039
11/18/04 4.664494011 0 27.44 89.546039
11/19/04 5.096993586 0 31.15 89.546039
11/20/04 5.730021946 1 32.2 89.546039
11/21/04 5.596753689 1 37.13 89.546039
11/22104 5.780596194 0 35.28 89.546039
11/23/04 5.122803798 0 31.72 89,546039
11/24/04 4.547706163 0 27.95 89.546039
11/25/04 4.378554138 0 25.48 89.546039
11/26/04 4.930266059 0 30.04 89.546039
11/27/04 5.917686065 1 33.6 89.54603911/28/04 6,656469829 1 36.03 89.54039
11/29/04 7.096841098 0 42.68 89.546039
11/30/04 7.102800456 0 43.09 89.546039
11/1/05 2.176919223 0 11.14 114.10715
11/2/05 3.025769584 0 18.01 114,10715
11/3/05 3.351503465 0 23.71 114.10715
11/4/05 3.654115045 0 23.1 114.10715
11/5/05 3.852755309 1 27,18 114.10715
11/6/05 3.435354383 1 19.81 114.10715
1117/05 3.518362998 0 19.09 114.10715
11/8/05 4.664551062 0 26.55 114.10715
11/9/05 3.987069785 0 26.45 114.10715
11/10/05 3.836519371 0 23.59 114.10715
11/11/05 3.532160681 0 23.17 114.10715
11/12/05 4.027815315 1 24.94 114.10715
11/13/05 4.48072997 1 27.38 114,10715
11/14/05 5.428667908 0 29.21 114.1071511/15/05 5.570614485 0 36.45 114.10715
11/16/05 5.179804563 0 30.88 114.10715
11/17/05 4.958627992 0 30.69 114,10715
11/18/05 4.903617885 0 31.01 114.10715
11/19/05 4.4 71588689 1 28.62 114.10715
11/20/05 4.655237577 1 28.89 114.10715
11/21/05 5.109501325 0 30.35 114,10715
11/22105 5.372059232 0 31.35 114.10715
11/23/05 5.483522555 0 34.39 114.10715
11/24/05 5.500941747 0 37.38 114.10715
11/25/05 5.336470938 0 35 114.10715
11/26/05 5.76878981 1 32.6 114.10715
11/27/05 6.45831913 1 39.21 114.10715
11/28/05 6.438784674 0 40.66 114.10715
11/29/05 6.33998062 0 34.98 114.10715
11/30/05 5.929728096 0 37.68 114.10715
11/1/06 5.400235831 0 33.76 109.88149
11/2/06 4.341272323 0 26.77 109.88149
11/3/06 2.936495322 0 18,21 109.88149
11/4/06 2.47453504 1 15.89 109.88149
11/5/06 2.616180096 1 15.86 109.88149
11/6/06 2,004314403 0 8,37 109.88149
11/7/06 1.466118979 0 2.35 109.8814911/8/06 3.076564094 0 17.46 109.88149
11/9/06 4.767396552 0 27,21 109.88149
11/10/06 4.162317876 0 25.94 109.88149
11/11/06 4.393005847 1 23.65 109.88149
11/12/06 4.527390407 1 30 109.88149
11/13/06 4.339864892 0 22.69 109.8814911/14/06 5.030994732 0 27.68 109,88149
11/15/06 4.5549509 0 27.57 109.88149
11/16/06 3.75093675 0 20.42 109.8814911/17/06 3.794314026 0 23.55 109.88149
11/18/06 3.629440545 1 23.6 109.88149
11/19/06 3.511942774 1 20.24 109.88149
11/20/06 2.994088652 0 14,34 109.88149
11/21/06 3,031373089 0 12.81 109.8814911/22/06 3.560492269 0 21,95 109.88149
11/23/06 4.574388843 0 26.22 109.88149
11/24/06 4.468591696 0 27.66 109.88149
11/25/06 4.842448022 1 28.59 109.88149
11/26/06 5.064735189 1 28.64 109.8814911/27/06 6.027242401 0 32.9 109.88149
11/28/06 7.361656578 0 41.89 109.88149
11/29/06 7.959500113 0 48.8 109,88149
11/30/06 7.01493171 0 42,52 109.88149
DecDate DECusage DECwknd DECDD DeeP
12/1/89 6.87 0 39.43 41.0201013
12/2/89 5.97 1 38.37 41.0201013
12/3/89 5.64 1 35.54 41.0201013
12/4/89 5.24 0 31.26 41.0201013
12/5/89 5.1 0 27.73 41.0201013
12/6/89 5.61 0 28.2 41,0201013
12/7/89 5.55 0 30.69 41.0201013
12/8/89 5,04 0 30.39 41.0201013
12/9/89 5,99 1 32,32 41.0201013
12/10/89 6.95 1 37.86 41,0201013
12/11/89 7.9 0 43.73 41.0201013
12/12/89 7.02 0 41.65 41.0201013
12/13/89 6.2 0 38.46 41.0201013
12/14/89 5.79 0 32.55 41,0201013
12/15/89 5.75 0 31,61 41,0201013
12/16/89 5.56 1 35.44 41.0201013
12/17/89 7.07 1 39.75 41.0201013
12/18/89 7.54 0 43.69 41.0201013
12/19/89 7.28 0 41.4 41.0201013
12/20/89 6.63 0 39.79 41.0201013
12/21/89 6.38 0 34.78 41.0201013
12/22/89 5.67 0 34.35 41.0201013
12/23/89 5.73 1 35.7 41.0201013
12/24/89 5.75 1 36.49 41.0201013
12/25/89 6.54 0 38.74 41.0201013
12/26/89 7.32 0 41.19 41,0201013
12/27/89 7,35 0 42,12 41.0201013
12/28/89 7.34 0 41,23 41.0201013
12/29/89 7.21 0 41.62 41.0201013
12/30/89 6.38 1 38.85 41.0201013
12/31/89 6.01 1 36.73 41.0201013
12/1/90 5.74 1 36.03 43.8220196
12/2/90 5.86 1 36.19 43.8220196
12/3/90 5,99 0 35.1 43.8220196
12/4/90 4.88 0 30.25 43.8220196
12/5/90 6 0 31.9 43.8220196
12/6/90 6.29 0 36.65 43,8220196
12/7/90 6.01 0 37.32 43.8220196
12/8/90 5.09 1 34.55 43.8220196
12/9/90 4.96 1 31.27 43.8220196
12/10/90 4.55 0 29.92 43.8220196
12/11/90 5.84 0 30.08 43.8220196
12/12/90 5.92 0 37.86 43.8220196
12/13/90 7.16 0 38.52 43.8220196
12/14/90 7.65 0 45.55 43.8220196
12/15/90 8.07 1 48.25 43.8220196
12/16/90 7.34 1 51.17 43.8220196
12/17/90 6.31 0 41,88 43.8220196
12/18/90 6.91 0 32.93 43,8220196
12/19/90 10.3 0 46.74 43.8220196
12/20/90 11.75 0 64.22 43,8220196
12/21/90 13.31 0 76.63 43.8220196
12/22/90 13.45 1 80.43 43.8220196
12/23/90 13,13 1 77.74 43.8220196
12/24/90 11.18 0 74.74 43.8220196
12/25/90 10.82 0 70.19 43.8220196
12/26/90 9.53 0 58.89 43.8220196
12/27/90 8,5 0 48.29 43,8220196
12/28/90 10.12 0 46.65 43.8220196
12/29/90 12.1 1 63.59 43.8220196
12/30/90 10.25 1 68.91 43.8220196
12/31/90 9.07 0 56.07 43.8220196
12/1/91 6.05 1 45.37 43.3199569
12/2/91 5.82 0 35.08 43.3199569
12/3/91 6.21 0 34.09 43,3199569
12/4/91 6.22 0 34.67 43.3199569
12/5/91 5.11 0 32.06 43,3199569
12/6/91 4.4 0 23,77 43.3199569
12/7/91 5.47 1 27,01 43.3199569
12/8/91 5.65 1 32,67 43.3199569
12/9/91 6.09 0 32.46 43.3199569
12/10/91 6.64 0 33.65 43.3199569
12/11/91 6.06 0 37.32 43,3199569
12/12/91 5.92 0 30.44 43.3199569
12/13/91 6,6 0 34.48 43.3199569
12/14/91 6.94 1 39.59 43.3199569
12/15/91 7.44 1 40.51 43.3199569
12/16/91 7.24 0 40.12 43.3199569
12/17/91 6.41 0 39.48 43.3199569
12/18/91 6.13 0 30.15 43.3199569
12/19/91 6.92 0 34,24 43,3199569
12/20/91 7.21 0 39,81 43.3199569
12/21/91 6.64 1 42.51 43,3199569
12/22/91 6.72 1 41.46 43.3199569
12/23/91 6,85 0 39.51 43.3199569
12/24/91 6.48 0 39.91 43.3199569
12/25/91 7,12 0 39.83 43.3199569
12/26/91 6.85 0 39.43 43.3199569
12/27/91 6.86 0 36.38 43.3199569
12/28/91 5.81 1 34.97 43.3199569
12/29/91 6.03 1 36.2 43.3199569
12/30/91 5.81 0 33.67 43.3199569
12/31/91 5.67 0 32.86 43.3199569
12/1/92 6.77 0 38.19 43.0382529
12/2/92 6.67 0 35,28 43.0382529
12/3/92 7.96 0 44.99 43.0382529
12/4/92 9.32 0 54.42 43.0382529
12/5/92 9.57 1 57.59 43.0382529
12/6/92 8.77 1 56.18 43.0382529
12/7/92 7,1 0 42.91 43.0382529
12/8/92 6.18 0 35.21 43.0382529
12/9/92 6.2 0 30.42 43.038252912/10/92 4.95 0 27.2 43.0382529
12/11/92 5.59 0 31.38 43.0382529
12/12/92 6.73 1 35.43 43.0382529
12/13/92 6.72 1 42,09 43.0382529
12/14/92 7.34 0 40.23 43.0382529
12/15/92 7.35 0 40.76 43.0382529
12/16/92 8.16 0 45,67 43.0382529
12/17/92 7.22 0 41.41 43.0382529
12/18/92 8.2 0 48.42 43.0382529
12/19/92 8.2 1 49.1 43.0382529
12/20/92 7.14 1 42.37 43.0382529
12/21/92 6.63 0 34.45 43,0382529
12/22/92 6.42 0 32.69 43.0382529
12/23/92 6.18 0 30.81 43,0382529
12/24/92 6.46 0 36.86 43.0382529
12/25/92 6.98 0 42.2 43,0382529
12/26/92 6.47 1 42.79 43.0382529
12/27/92 5.82 1 33.33 43.0382529
12/28/92 5.59 0 28.84 43.0382529
12/29/92 6.18 0 29.53 43.0382529
12/30/92 6.98 0 37 43.0382529
12/31/92 6.75 0 39.38 43.0382529
12/1/93 5.69 0 29.3 47.0520281
12/2/93 5.66 0 28.7 47.0520281
12/3/93 5.24 0 30.68 47.0520281
12/4/93 5,76 1 29.63 47.0520281
12/5/93 6.06 1 35.67 47.0520281
12/6/93 6.73 0 37.52 47.0520281
12/7/93 6 0 32.73 47.0520281
12/8/93 4.63 0 22.45 47.0520281
12/9/93 4.3 0 22.69 47.0520281
12/10/93 3.79 0 19.76 47.0520281
12/11/93 3.79 1 19.99 47,0520281
12/12/93 5.88 1 29.83 47.0520281
12/13/93 6.88 0 35.38 47,0520281
12/14/93 6.18 0 34.71 47.0520281
12/15/93 6.11 0 33.8 47.0520281
12/16/93 6 0 35.43 47.0520281
12/17/93 5.98 0 35.77 47.0520281
12/18/93 6.08 1 38.04 47.0520281
12/19/93 6.73 1 40.47 47.0520281
12/20/93 7.33 0 42.31 47.0520281
12/21/93 7.34 0 39.78 47.0520281
12/22/93 7,46 0 41.12 47.0520281
12/23/93 7.35 0 43.49 47,0520281
12/24/93 6.77 0 41,9 47.0520281
12/25/93 6.8 1 43.43 47.0520281
12/26/93 6.67 1 42.02 47,0520281
12/27/93 6.88 0 37.74 47.052028112/28/93 6.94 0 37.76 47,0520281
12/29/93 6.89 0 39.56 47.0520281
12/30/93 6.71 0 39.17 47.0520281
12/31/93 5.56 0 33.95 47.0520281
12/1/94 5.2 0 23.98 48.1987685
12/2/94 5.03 0 26.7 48.1987685
12/3/94 5.89 1 29.71 48.1987685
12/4/94 6.52 1 37.65 48.1987685
12/5/94 6.77 0 41,07 48.1987685
12/6/94 6.93 0 40,29 48.1987685
12/7/94 7.18 0 42.46 48.1987685
12/8/94 8,25 0 47.33 48.1987685
12/9/94 7.75 0 46.63 48.1987685
12/10/94 7.59 1 46.97 48.1987685
12/11/94 7.08 1 46.77 48,1987685
12/12/94 6.71 0 39.84 48.1987685
12/13/94 6.76 0 38,61 48.1987685
12/14/94 6,79 0 41.09 48.1987685
12/15/94 6.63 0 39.47 48.1987685
12/16/94 5.79 0 32.44 48,1987685
12/17/94 5.56 1 27.72 48.1987685
12/18/94 6.07 1 30.58 48,1987685
12/19/94 6.32 0 32.82 48.1987685
12/20/94 6.82 0 37.55 48.1987685
12/21/94 6.89 0 38.67 48.1987685
12/22/94 6.74 0 39.48 48.1987685
12/23/94 6,64 0 41.22 48.1987685
12/24/94 5.52 1 35.14 48.1987685
12/25/94 5,58 1 31.18 48.1987685
12/26/94 4.97 0 30,21 48.1987685
12/27/94 4,51 0 25.72 48.1987685
12/28/94 5.7 0 27.91 48.1987685
12/29/94 6.89 0 37.02 48.1987685
12/30/94 7.54 0 42.66 48.1987685
12/31/94 8.11 1 45.06 48.1987685
12/1/95 3.52 0 16.33 45.0696491
12/2/95 4,55 1 26.58 45,0696491
12/3/95 4.37 1 27.05 45.0696491
12/4/95 5,32 0 26.23 45.0696491
12/5/95 6.4 0 35.81 45.0696491
12/6/95 6.47 0 37.12 45.0696491
12/7/95 6.51 0 36.48 45.0696491
12/8/95 6.58 0 39.87 45.0696491
12/9/95 5.72 1 35.88 45.0696491
12/10/95 4.63 1 24.13 45.0696491
12/11/95 4,12 0 22.2 45.0696491
12/12/95 3.92 0 14.35 45.0696491
12/13/95 4.68 0 23.25 45.0696491
12/14/95 4.78 0 24.8 45,0696491
12/15/95 4.88 0 24.35 45.0696491
12/16/95 5.51 1 30.88 45,0696491
12/17/95 6.1 1 35.72 45.0696491
12/18/95 6.73 0 36.82 45,069649112/19/95 6.77 0 37.46 45.0696491
12/20/95 7.01 0 41.17 45.0696491
12/21/95 6.89 0 37.27 45.0696491
12/22/95 7.14 0 39.23 45.0696491
12/23/95 7.08 1 41 45.0696491
12/24/95 7.24 1 45.61 45.0696491
12/25/95 7,26 0 44.37 45.0696491
12/26/95 7.82 0 41.06 45.0696491
12/27/95 7.83 0 43.62 45,0696491
12/28/95 7.29 0 40.01 45.0696491
12/29/95 6.37 0 36.72 45.0696491
12/30/95 5.52 1 30.58 45.0696491
12/31/95 5.33 1 28.97 45.069691
12/1/96 5.76 0 30,34 44.4555965
12/2/96 6.35 0 35.24 44.4555965
12/3/96 7 0 38.4 44.4555965
12/4/96 7.4 0 40.17 44.4555965
12/5/96 5.82 0 31.67 44.4555965
12/6/96 5.66 0 31.45 44.4555965
12/7/96 5.36 1 31.47 44.4555965
12/8/96 3.97 1 19.69 44.4555965
12/9/96 4.03 0 17.56 44.455596512/10/96 4.44 0 18.44 44.4555965
12/11/96 5.41 0 27.31 44.4555965
12/12/96 4.78 0 26.22 44.455596512/13/96 5.71 0 27,62 44.4555965
12/14/96 6,25 1 36.25 44.455596512/15/96 6.13 1 37.28 44.455596512/16/96 7.38 0 37.35 44.4555965
12/17/96 8.74 0 46.7 44.4555965
12/18/96 8.41 0 46.4 44.455596512/19/96 7.53 0 43.38 44.4555965
12/20/96 6.95 0 39.08 44.4555965
12/21/96 6.49 1 37.79 44.455596512/22/96 6.33 1 39.81 44.455596512/23/96 6.49 0 35,36 44.4555965
12/24/96 5.61 0 30.31 44.455596512/25/96 5.51 0 31,19 44.455596512/26/96 5.42 0 29.01 44.4555965
12/27/96 5.19 0 24.61 44.4555965
12/28/96 4.86 1 25.9 44.455596512/29/96 4.05 1 19.12 44.4555965
12/30/96 3.89 0 18.3 44.4555965
12/31/96 3.34 0 14.72 44.455596512/1/97 5.774809 0 30.23 44.9212011
12/2/97 6.132846 0 34.34 44.921201112/3/97 6.613303 0 36.58 44,921201112/4/97 6.597263 0 37.55 44.9212011
12/5/97 6.475084 0 38.56 44.9212011
12/6/97 5.89314 1 35.89 44.921201112/7/97 5.13006 1 29.62 44,9212011
12/8/97 6.556377 0 30.05 44.9212011
12/9/97 6.987618 0 36.56 44.921201112/10/97 7.986133 0 41.82 44.921201112/11/97 7.429908 0 42.11 44.9212011
12/12/97 7.571619 0 43.87 44.9212011
12/13/97 7.188935 1 43.62 44.9212011
12/14/97 6.502449 1 37.53 44.9212011
12/15/97 5.43889 0 30,6 44.9212011
12/16/97 5.294729 0 26.88 44.9212011
12/17/97 5.299608 0 26.63 44.9212011
12/18/97 6.39602 0 34.15 44.9212011
12/19/97 7,103044 0 41.76 44.9212011
12/20/97 7.102466 1 40.19 44.9212011
12/21/97 7,44646 1 40.43 44,9212011
12/22/97 7.710475 0 43.89 44.9212011
12/23/97 8.125369 0 45.5 44.9212011
12/24/97 8.00711 0 44.02 44.9212011
12/25/97 7.46516 0 46.47 44.9212011
12/26/97 7.425715 0 43.54 44.9212011
12/27/97 6.915228 1 40.02 44,9212011
12/28/97 6.144238 1 36.77 44.9212011
12/29/97 5.868376 0 29.91 44.9212011
12/30/97 6.102575 0 31.44 44.9212011
12/31/97 6.172363 0 32.98 44.9212011
12/1/98 3.850679 0 20.09 44.1458633
12/2/98 4,184631 0 19.33 44.1458633
12/3/98 5.568896 0 24.89 44.1458633
12/4/98 6.734957 0 34.8 44.1458633
12/5/98 6.824433 1 38.44 44.1458633
12/6/98 6.85804 1 39.45 44.1458633
12/7/98 7.197563 0 39.13 44.1458633
12/8/98 6.93848 0 34.19 44.1458633
12/9/98 7.121066 0 41.85 44.1458633
12/10/98 7,361898 0 42.81 44.1458633
12/11/98 6,745384 0 39.68 44.1458633
12/12/98 6.22155 1 32.73 44.1458633
12/13/98 5.719026 1 28.7 44.1458633
12/14/98 6.1176 0 32.49 44.1458633
12/15/98 6.420795 0 34.73 44.1458633
12/16/98 6.399024 0 35.06 44.1458633
12/17/98 6.490679 0 35.94 44.1458633
12/18/98 8.087315 0 41.23 44.1458633
12/19/98 9.695196 1 50.89 44.1458633
12/20/98 10.89485 1 56.75 44.1458633
12/21/98 11,38903 0 61.12 44.1458633
12/22/98 11.41101 0 61,14 44.1458633
12/23/98 10.74623 0 58.2 44.1458633
12/24/98 8.932186 0 51.39 44,1458633
12/25/98 7.096675 1 40.66 44.1458633
12/26/98 6.512857 1 31.7 44.1458633
12/27/98 6.509009 1 32,6 44.1458633
12/28/98 6.191598 0 25.49 44.1458633
12/29/98 5.265281 0 21.31 44.1458633
12/30/98 5.107634 0 24.66 44,1458633
12/31/98 5.600398 0 27.51 44.1458633
12/1/99 4.821342 0 27.57 48.3920626
12/2/99 6.152724 0 31.1 48.3920626
12/3/99 6.223792 0 36.99 48.392062612/4/99 6.58079 1 39.39 48,3920626
12/5/99 6.474955 1 40.59 48.3920626
12/6/99 6.105572 0 35.59 48.392062612/7/99 5.976354 0 34.24 48.3920626
12/8/99 6.346617 0 36.52 48.392062612/9/99 6.249694 0 33.41 48,392062612/10/99 6.083665 0 35.42 48.3920626
12/11/99 5.969172 1 35.93 48.392062612/12/99 5.232836 1 27.06 48.392062612/13/99 6.420239 0 32.81 48.3920626
12/14/99 6.575442 0 38,54 48.392062612/15/99 5.87593 0 33.09 48.392062612/16/99 5.112011 0 27.64 48.3920626
12/17/99 5.087486 0 27.61 48.392062612/18/99 5.110309 1 25.31 48.3920626
12/19/99 5.452133 1 32.02 48,3920626
12/20/99 5,748586 0 30.67 48.392062612/21/99 5.739728 0 31.6 48.392062612/22/99 6.120295 0 34 48.392062612/23/99 6.598189 0 37.14 48.392062612/24/99 6.505052 1 39.57 48.392062612/25/99 6.837964 1 42.94 48.392062612/26/99 7.394051 1 43.1 48.392062612/27/99 7.580812 0 43.36 48,392062612/28/99 7.627918 0 43.36 48.392062612/29/99 8,112269 0 45,21 48.392062612/30/99 8.007607 0 45.1 48.392062612/31/99 7.569507 0 42.99 48.3920626
12/1/00 5.583958 0 31.74 63.898443312/2/00 5.870881 1 35.45 63.898443312/3/00 6.074386 1 36.57 63.898433
12/4/00 6.051637 0 35.59 63,898443312/5/00 6.330854 0 36.57 63.898443312/6/00 6.252967 0 36.58 63.8984433
12/7/00 6.447987 0 37.53 63.898443312/8/00 6.353035 0 37.16 63.89843312/9/00 5.947825 1 33.34 63.898443312/10/00 6.402161 1 35.58 63.898443312/11/00 6.959382 0 40.83 63.898443312/12/00 6.848703 0 40.33 63.898443312/13/00 6.435392 0 35.72 63.898443312/14/00 5.719156 0 28.37 63.898443312/15/00 6.607649 0 32.79 63.898443312/16/00 6.590507 1 36.96 63.898443312/17/00 6.374075 1 32.33 63.898443312/18/00 6.952927 0 40.08 63.898443312/19/00 7.020545 0 39.67 63.898443312/20/00 6,889355 0 41.26 63.898443312/21/00 6.237943 0 34.82 63.898443312/22/00 5.506203 0 31.49 63.8984433
12/23/00 5,077221 1 28.99 63.8984433
12/24/00 5.804793 1 31.14 63.8984433
12/25/00 6.134017 1 36.56 63.8984433
12/26/00 6.884999 0 40.47 63.8984433
12/27/00 7.299665 0 41.88 63.8984433
12/28/00 7.423123 0 43.76 63.8984433
12/29/00 7.317951 0 41.96 63.8984433
12/30/00 6.888574 1 42.4 63,8984433
12/31/00 6.84372 1 40.86 63.8984433
12/1/01 5.698711 1 32.09 79,521825
12/2/01 5,187967 1 28.45 79,521825
12/3/01 5,251859 0 30.48 79.521825
12/4/01 6.077896 0 36.79 79.521825
12/5/01 6.301192 0 35.23 79.521825
12/6/01 5.559294 0 30.27 79.521825
12/7/01 5.806801 0 33.1 79.521825
12/8/01 6.28634 1 38,37 79.521825
12/9/01 6.444995 1 39.23 79.521825
12/10/01 7.029147 0 42.82 79,521825
12/11/01 7.132357 0 44.5 79,521825
12/12/01 7.120191 0 42,23 79.521825
12/13/01 6.305343 0 34.47 79.521825
12/14/01 6.162743 0 31.98 79.521825
12/15/01 6.317721 1 40.76 79.521825
12/16/01 6.381076 1 36.25 79,521825
12/17/01 6.211967 0 34.31 79.521825
12/18/01 6.058484 0 35.33 79,521825
12/19/01 5.630136 0 30.29 79.521825
12/20/01 5.475838 0 30.57 79.521825
12/21/01 6.263709 0 36.98 79.521825
12/22/01 6.57451 1 40.08 79,521825
12/23/01 6.963423 1 42,96 79,521825
12/24/01 7.796962 0 48.49 79.521825
12/25/01 8.296195 1 50.96 79.521825
12/26/01 8.48821 0 52.4 79,521825
12/27/01 7.776352 0 45.11 79,521825
12/28/01 7.146304 0 40.84 79.521825
12/29/01 6.80208 1 42.49 79.521825
12/30/01 6.307711 1 40.3 79.521825
12/31/01 6.175989 0 36.39 79.521825
12/1/02 4,835684 1 29,29 55.6063944
12/2/02 5.135629 0 30.35 55.6063944
12/3/02 5,397161 0 32.63 55,6063944
12/4/02 5.142801 0 31.98 55.6063944
12/5/02 4.99799 0 28.76 55.6063944
12/6/02 5.496528 0 34.19 55.6063944
12/7/02 5.728383 1 36.7 55.6063944
12/8/02 6.007849 1 38.19 55.6063944
12/9/02 5.989443 0 35.68 55.6063944
12/10/02 5.448779 0 32.99 55.6063944
12/11/02 5.141756 0 29.83 55.6063944
12/12/02 4.418273 0 26.16 55.6063944
12/13/02 3.932624 0 22.14 55.6063944
12/14/02 3.353592 1 15.98 55.6063944
12/15/02 3.828683 1 19.92 55.6063944
12/16/02 4.390141 0 21.62 55.6063944
12/17/02 5.171116 0 30.24 55.6063944
12118/02 5.793323 0 35.73 55.6063944
12/19/02 6.111524 0 36.12 55.6063944
12/20/02 5,330131 0 31.37 55.6063944
12/21/02 5.096513 1 30.85 55.6063944
12122/02 5,340288 1 32.89 55.6063944
12123/02 5.93569 0 37.86 55.6063944
12124/02 6.216638 0 39.47 55.6063944
12/25/02 6.205919 1 39.51 55.6063944
12/26/02 6.207695 0 37.73 55.6063944
12/27/02 4.405837 0 23,71 55.6063944
12/28/02 3.867942 1 18.59 55.6063944
12/29/02 5.064563 1 26.6 55.6063944
12/30/02 5.656293 0 32.05 55.6063944
12131/02 5,180507 0 26.61 55.6063944
1211/03 3.754291 0 21.98 76.1267154
12/2/03 3.628466 0 22.7 76,1267154
1213/03 3.9993 0 21.1 76.1267154
1214/03 4.455237 0 28.13 76.1267154
1215/03 3.578668 0 19.32 76,1267154
12/6/03 3.435118 1 17.36 76.1267154
1217/03 4.516781 1 26.09 76.1267154
12/8/03 5.225043 0 29.65 76.1267154
1219/03 5.35128 0 31.84 76,1267154
12/10/03 5.117168 0 30,21 76.1267154
12/11/03 5,222488 0 32,15 76.1267154
12/12103 5.129984 0 32.32 76.1267154
12/13/03 4.350105 1 24.36 76.1267154
12/14/03 5.323722 1 25.88 76.1267154
12115/03 5.752511 0 34.91 76.1267154
12/16/03 5.653 0 34.53 76.1267154
12117/03 5.396585 0 31.54 76,1267154
12118/03 5.573321 0 33.18 76.1267154
12119/03 5.106331 0 31.81 76,1267154
12/20/03 4.726002 1 30.05 76.1267154
12/21/03 4.873732 1 29.19 76,1267154
12/22/03 5.479054 0 31.94 76.1267154
12/23/03 5.462092 0 32.75 76.1267154
12124/03 4.864372 0 26,61 76.1267154
12/25/03 4.808217 0 29.46 76.1267154
12/26/03 6.500141 0 36 76.1267154
12127/03 6.476846 1 41.97 76.1267154
12/28/03 6.376632 1 37.79 76.1267154
12/29/03 6.383713 0 33.55 76.1267154
12/30/03 6.510049 0 41.42 76.1267154
12/31/03 6,007616 0 37.15 76.1267154
12/1/04 6.654677 0 40.54 84.1441387
12/2104 6.542036 0 39.27 84.1441387
12/3/04 6.806995 0 39.44 84.1441387
12/4/04 6.505679 1 38.05 84.1441387
1215/04 6.051477 1 39,23 84.1441387
12/6/04 5.994879 0 34.41 84.1441387
1217/04 5.236161 0 26.69 84.1441387
12/8/04 4.955271 0 25.69 84.1441387
1219/04 4.323499 0 24.76 84,1441387
12110/04 3.325608 0 18.69 84.1441387
12111/04 3.643089 1 19.38 84,1441387
12/12104 4.367677 1 25.26 84.1441387
12/13/04 4.266975 0 23.23 84.1441387
12/14/04 4.981699 0 26.63 84.1441387
12115/04 5.3062 0 29.44 84.1441387
12/16/04 5.444365 0 31.46 84.1441387
12/17/04 5.649346 0 34.2 84,1441387
12/18/04 5.759208 1 34.89 84.1441387
12119/04 5,702749 1 34.41 84.1441387
12/20/04 6,605931 0 34.91 84.1441387
12/21/04 6,783059 0 40.24 84.1441387
12/22/04 6,852387 0 36.69 84.1441387
12/23104 7.287297 0 43.93 84.1441387
12/24/04 6.473726 0 39,14 84.1441387
12125/04 5.694677 1 34.87 84.1441387
12/26/04 5,715972 1 31.12 84.1441387
12/27/04 5.423306 0 28.87 84.1441387
12/28/04 4.759106 0 28.9 84.1441387
12/29/04 5,046166 0 25.39 84.1441387
12/30/04 5.44699 0 28.24 84.1441387
12/31/04 5.560518 0 31.23 84.1441387
1211/05 5.648403 0 30.62 108,798551
12/2/05 5.363624 0 31.17 108.798551
12/3/05 6.312417 1 36.63 108.798551
12/4/05 6.762507 1 42.11 108.798551
12/5/05 7.193235 0 42.02 108.798551
1216/05 7.677556 0 43.54 108.798551
12/7/05 9.131713 0 50.77 108.798551
12/8/05 9.108596 0 53.78 108.798551
12/9/05 8.091764 0 50.82 108.798551
12/10/05 8.11145 1 48.08 108.798551
12/11/05 8.119051 1 48.16 108.798551
12112105 8,025541 0 48.32 108.798551
12/13/05 8.024972 0 45.32 108.798551
12114/05 8.26761 0 46.96 108.798551
12/15/05 8.460964 0 50.61 108.798551
12/16/05 8.314924 0 51.23 108.798551
12/17/05 8.421612 1 48.53 108,798551
12118/05 8.303478 1 50.81 108,798551
12/19/05 6.645722 0 37.4 108.798551
12/20/05 5.929367 0 33.6 108.798551
12/21/05 5.277172 0 28.02 108.798551
12/22/05 4.697595 0 24,76 108.798551
12/23/05 4.748143 0 25.57 108.798551
12/24/05 5.159133 1 30.11 108,798551
12/25/05 4.910798 1 28.56 108.798551
12/26/05 5.104184 0 27.28 108.798551
12/27/05 5.096053 0 28.01 108.798551
12/28/05 4.787955 0 21.37 108.798551
12/29/05 4.904198 0 29.29 108.798551
12/30/05 5.084888 0 26.82 108.798551
12/31/05 4.732307 1 20.95 108.798551
12/1/06 6.879859 0 42.97 104.658026
12/2/06 7,103782 1 42.34 104.658026
12/3/06 7,286638 1 42,68 104.658026
12/4/06 7.328536 0 43.12 104.658026
12/5/06 6.852607 0 40.11 104.658026
12/6/06 6.406284 0 37.18 104.658026
12/7/06 6.004351 0 34.43 104.658026
12/8/06 5.276481 0 32.16 104.658026
12/9/06 4,958521 1 29.06 104.658026
12/10/06 4.910457 1 29.37 104.658026
12/11/06 4.888007 0 29.51 104,658026
12/12/06 4.513214 0 24.15 104.658026
12/13/06 4.134811 0 20.96 104.658026
12/14/06 4.104883 0 20.37 104.658026
12/15/06 5.339205 0 24.65 104.658026
12/16/06 6.675497 1 39.86 104.658026
12/17/06 7.428234 1 42.96 104.658026
12/18/06 7.895495 0 44.65 104.658026
12/19/06 7.744038 0 45.67 104.658026
12/20/06 7.480439 0 43.94 104.658026
12/21/06 6.943489 0 43.28 104.658026
12/22/06 6.541269 0 39.76 104.658026
12/23/06 6.374632 1 36.92 104,658026
12/24/06 5.99938 1 38.16 104.658026
12/25/06 5.233439 0 31,66 104,658026
12/26/06 4.690343 0 25,24 104.658026
12/27/06 5.725397 0 27.98 104,658026
12/28/06 6.60934 0 37 104.658026
12/29/06 7.081581 0 41.14 104.658026
12/30/06 6.839141 1 41.94 104.658026
12/31/06 6,77049 1 41.02 104.658026
JanOate JANus age JANwknd JANOD JanP
1/1/90 6.37 1 38.53 0.439414
1/2/90 8.32 0 41.94 0.439414
1/3/90 7.72 0 46.43 0.439414
1/4/90 7.4 0 42.44 0.439414
1/5/90 6.84 0 40,5 0.439414
1/6/90 5.92 1 38.83 0.439414
1/7/90 4.82 1 31.28 0.439414
1/8/90 4.7 0 20.9 0.439414
1/9/90 3.87 0 18.97 0.439414
1/10/90 4,53 0 21.87 0.439414
1/11/90 4.92 0 25.18 0.439414
1/12/90 4.49 0 27,23 0.439414
1/13/90 4.22 1 24.29 0.439414
1/14/90 5.03 1 27,58 0.439414
1/15/90 5.34 0 30.04 0.439414
1/16/90 5.78 0 29.18 0.439414
1/17/90 6.59 0 34.63 0.439414
1/18/90 7.26 0 38.14 0.439414
1/19/90 7.36 0 42.67 0.439414
1/20/90 7,07 1 42.55 0.439414
1/21/90 6.61 1 39.44 0.439414
1/22/90 5.72 0 34.28 0.439414
1/23/90 7.36 0 32.04 0.439414
1/24/90 6.72 0 37.5 0.439414
1/25/90 5.87 0 31.48 0.439414
1/26/90 6.78 0 31.2 0.439414
1/27/90 6.64 1 38.02 0.439414
1128/90 6.39 1 34.51 0.439414
1/29/90 6.1 0 28.95 0.439414
1/30/90 6.22 0 29,29 0.439414
1/31/90 6.34 0 33.2 0.439414
1/1/91 10.07 1 55.81 0.434137
1/2/91 10.61 0 57.12 0.434137
1/3/91 10.61 0 59.04 0.434137
1/4/91 10.8 0 59.85 0.434137
1/5/91 10.21 1 63.4 0.434137
1/6/91 8.81 1 56.63 0.434137
1/7/91 7.89 0 46.43 0.434137
1/8/91 7.94 0 43.49 0.434137
1/9/91 7.61 0 46.83 0.434137
1/10/91 5.54 0 42.29 0.434137
1/11/91 5.78 0 33.42 0.434137
1/12/91 5.16 1 29.48 0.434137
1/13/91 5.59 1 27.19 0.434137
1/14/91 5.41 0 30.79 0.434137
1/15/91 6.3 0 29.79 0.434137
1/16/91 5.97 0 35.29 0.434137
1/17/91 5.82 0 32.21 0.434137
1/18/91 5.48 0 30.11 0.434137
1/19/91 6.27 1 35.83 0.434137
1/20/91 7.4 1 41.19 0.434137
1/21/91 7.49 0 43,65 0.434137
1/22/91 7.3 0 41.91 0.434137
1/23/91 6.95 0 38.61 0.434137
1/24/91 7.63 0 39.94 0.434137
1/25/91 7.33 0 43 0.434137
1/26/91 7.01 1 44.53 0.434137
1/27/91 7.04 1 40.53 0.434137
1/28/91 8.92 0 43.24 0.434137
1/29/91 8,58 0 49.05 0.434137
1/30/91 8.21 0 47.08 0.434137
1/31/91 7.37 0 42.96 0.434137
1/1/92 6.43 1 34.39 0.4313711/2/92 7.25 0 37.33 0.431371
1/3/92 6.11 0 38.22 0.431371
1/4/92 5.41 1 32.46 0.431371
1/5/92 5.14 1 29.37 0.431371
1/6/92 6.09 0 28.75 0.4313711/7/92 7.36 0 35.9 0.431371
1/8/92 7.33 0 42.97 0.431371
1/9/92 7.08 0 41.12 0.4313711/10/92 6.62 0 40.23 0.4313711/11/92 6.69 1 38.25 0.431371
1/12/92 6,95 1 37.9 0.4313711/13/92 7.05 0 38.24 0.4313711/14/92 7.15 0 38 0.431371
1/15/92 7.1 0 38.87 0.4313711/16/92 6.66 0 39.09 0.4313711/17/92 6.41 0 37,13 0.431371
1/18/92 6.66 1 39.64 0.431371
1/19/92 7,39 1 42.51 0.4313711/20/92 7.84 0 44.44 0.4313711/21/92 7.6 0 43.1 0.431371
1/22/92 6.64 0 40.79 0.4313711/23/92 5.87 0 36.05 0.4313711/24/92 4.72 0 26.48 0.431371
1/25/92 5,04 1 24.85 0.4313711/26/92 5.74 1 31.34 0.4313711/27/92 5.34 0 31.46 0.431371
1/28/92 5.19 0 25.92 0.4313711/29/92 5,25 0 25,02 0.4313711/30/92 5.38 0 27.17 0.431371
1/31/92 4.69 0 25,18 0.4313711/1/93 6.08 1 32,98 0.4716251/2/93 8.09 1 42.16 0.471625
1/3/93 8.38 1 48.66 0.471625
1/4/93 8.31 0 45.63 0.4716251/5/93 8.66 0 47.66 0.4716251/6/93 9.12 0 51.42 0.471625
1/7/93 8.68 0 53.07 0.4716251/8/93 7.68 0 45.16 0.4716251/9/93 7.52 1 46.34 0.471625
1/10/93 7,97 1 52.11 0.471625
1/11/93 8.79 0 48.42 0.471625
1/12/93 9.02 0 53,89 0.471625
1/13/93 8.17 0 50.72 0.471625
1/14/93 6.57 0 38,04 0.471625
1/15/93 6.83 0 40.06 0,471625
1/16/93 6.42 1 39.78 0.471625
1/17/93 6.94 1 44.06 0.471625
1/18/93 7.37 0 44.09 0.471625
1/19/93 6.65 0 39,1 0.471625
1/20/93 6.04 0 31.05 0.471625
1/21/93 5.15 0 30.26 0.471625
1/22/93 7.32 0 30.52 0.471625
1/23/93 7,16 1 41.43 0.471625
1/24/93 6.38 1 39,92 0.471625
1/25/93 6.89 0 40.78 0.471625
1/26/93 7.57 0 43.79 0.471625
1/27/93 7.51 0 44.44 0.471625
1/28/93 7.84 0 44.21 0.471625
1/29/93 7.16 0 43.1 0.471625
1/30/93 7.31 1 44.82 0.471625
1/31/93 6.8 1 44.86 0.471625
1/1/94 5.66 1 30.96 0.482926
1/2/94 5.26 1 30.64 0.482926
1/3/94 5,31 0 27.9 0.482926
1/4/94 5.34 0 26.04 0.482926
1/5/94 6.13 0 27.61 0.482926
1/6/94 6.82 0 32.69 0.482926
1/7/94 6,66 0 35.1 0.482926
1/8/94 6.17 1 34.82 0.482926
1/9/94 5.7 1 32.62 0.482926
1/10/94 6,29 0 32.49 0.482926
1/11/94 6.09 0 32.83 0.482926
1/12/94 6.13 0 32.67 0.482926
1/13/94 5.53 0 29.61 0.482926
1/14/94 5.86 0 31.35 0.482926
1/15/94 5.97 1 31.87 0.482926
1/16/94 5.89 1 33,52 0.482926
1/17/94 6.54 0 35.58 0.482926
1/18/94 6.88 0 38,03 0.482926
1/19/94 7.03 0 38.47 0.482926
1/20/94 6.78 0 38.34 0.482926
1/21/94 6.47 0 36.05 0.482926
1/22/94 6.17 1 34.71 0.482926
1/23/94 5.76 1 34.6 0.482926
1/24/94 5.39 0 29.37 0.482926
1/25/94 5.47 0 29.52 0.482926
1/26/94 6.05 0 30.74 0.482926
1/27/94 5,92 0 32.42 0.482926
1/28/94 6.16 0 35.51 0.482926
1/29/94 6,07 1 35.52 0.482926
1/30/94 6.88 1 37.98 0.482926
1/31/94 7.88 0 44.1 0.482926
1/1/95 8.71 1 49.1 0.45188
1/2/95 9.07 1 50,19 0.45188
1/3/95 9.25 0 49.62 0.45188
1/4/95 8.12 0 46.64 0.45188
1/5/95 7.33 0 42.4 0.45188
1/6/95 6,54 0 37.13 0,45188
1/7/95 5.32 1 31.44 0.45188
1/8/95 4.9 1 25.25 0.45188
1/9/95 4.12 0 19.49 0.45188
1/10/95 4.21 0 18.23 0.45188
1/11/95 4.73 0 24,97 0.45188
1/12/95 5.04 0 26.8 0.45188
1/13/95 4.78 0 24.29 0.45188
1/14/95 4,37 1 20.95 0.451881/15/95 4.91 1 27.23 0.45188
1/16/95 5.37 0 28.73 0.45188
1/17/95 5.87 0 21.22 0.45188
1/18/95 5.6 0 20.31 0.45188
1/19/95 5.34 0 14 0.45188
1/20/95 6.16 0 21.38 0.45188
1/21/95 6,7 1 36.7 0.45188
1/22/95 6.67 1 27.94 0.45188
1/23/95 6.27 0 17.64 0.451881/24/95 5.12 0 16.55 0.45188
1/25/95 4.59 0 18.74 0.45188
1/26/95 5.02 0 26.54 0.45188
1/27/95 4.94 0 27.54 0.45188
1/28/95 4.94 1 29.1 0.45188
1/29/95 5.18 1 29,76 0.45188
1/30/95 4.9 0 27.55 0,45188
1/31/95 3.93 0 20.99 0.45188
1/1/96 5.81 1 33.82 0.450648
1/2/96 5.97 0 33.57 0.450648
1/3/96 5.41 0 26.01 0.450648
1/4/96 5.87 0 34.57 0.450648
1/5/96 6.21 0 35.47 0.450648
1/6/96 6.26 1 34,02 0.450648
1/7/96 5.66 1 32,85 0.450648
1/8/96 5.42 0 30.45 0.450648
1/9/96 5.28 0 28.74 0.450648
1/10/96 5.41 0 28 0.450648
1/11/96 5.7 0 30.34 0.450648
1/12/96 5.85 0 32.78 0.450648
1/13/96 5.78 1 33.07 0.450648
1/14/96 5.26 1 34.29 0.450648
1/15/96 5,16 0 26,31 0.450648
1/16/96 5.57 0 27.95 0.450648
1/17/96 7.09 0 36.81 0.450648
1/18/96 8.08 0 42.16 0.450648
1/19/96 5.95 0 33.4 0.450648
1/20/96 6.09 1 32.15 0.450648
1/21/96 6.27 1 34.06 0.450648
1/22/96 7.17 0 41.86 0.450648
1/23/96 7.03 0 38.6 0.450648
1/24/96 6.71 0 36.37 0.450648
1/25/96 7.37 0 42.92 0.450648
1/26/96 7.57 0 43.45 0.450648
1/27/96 6.96 1 35.53 0.450648
1/28/96 6.15 1 34.94 0.450648
1/29/96 6.88 0 35.87 0.450648
1/30/96 8,37 0 47.62 0.450648
1/31/96 9.31 0 54.85 0.45064
1/1/97 3.7 1 15.43 0.44561
1/2/97 4.3 0 19.93 0.444561
1/3/97 5.88 0 29.82 0.444561
1/4/97 6.22 1 36.14 0.44561
1/5/97 6.92 1 37.64 0.444561
1/6/97 7.06 0 41.06 0.444561
1/7/97 6.64 0 35.23 0.444561
1/8/97 6.05 0 32.24 0.444561
1/9/97 5.71 0 29.72 0.444561
1/10/97 5.34 0 30.99 0.444561
1/11/97 7.52 1 37.1 0.44561
1/12/97 9.27 1 51.77 0.444561
1/13/97 8.85 0 50.56 0.44561
1/14/97 8.5 0 42.71 0.44561
1/15/97 7.58 0 41 0.444561
1/16/97 7,18 0 40.73 0.44561
1117/97 6.8 0 36.41 0.444561
1/18/97 5.7 1 32.16 0.444561
1/19/97 5,82 1 31,46 0.444561
1/20/97 6.16 0 32.87 0.444561
1/21/97 6.23 0 30.68 0.444561
1/22/97 6.79 0 35.11 0,444561
1/23/97 7.47 0 40.23 0.444561
1/24/97 6.97 0 40.06 0.444561
1/25/97 6.45 1 35.62 0.444561
1/26/97 6.69 1 31.81 0.444561
1/27/97 6.72 0 38.52 0.444561
1/28/97 6.58 0 34.29 0.444561
1/29/97 5.98 0 32.11 0.444561
1/30/97 5.63 0 31.3 0.44561
1/31/97 5.02 0 26.79 0.444561
1/1/98 5.74 1 32.22 0.449212
1/2/98 4.98 0 26.38 0.449212
1/3/98 4.90 1 24.34 0.449212
1/4/98 5.59 1 27.36 0.449212
1/5/98 6.67 0 35.55 0.449212
1/6/98 6.49 0 34.59 0.449212
1/7/98 6.20 0 31.78 0.449212
1/8/98 6.77 0 34.92 0.449212
1/9/98 6.79 0 40.68 0,449212
1/10/98 6.28 1 35.09 0.449212
1/11/98 6.21 1 32.85 0.449212
1/12/98 6.18 0 34.71 0.449212
1/13/98 5.93 0 29.3 0,4492121/14/98 5.98 0 31.07 0.449212
1/15/98 5.64 0 30.9 0.449212
1/16/98 6.02 0 34.3 0.4492121/17/98 4.63 1 24.15 0.449212
1/18/98 4,58 1 22.21 0.4492121/19/98 5.96 0 25.63 0.449212
1/20/98 5.78 0 29.96 0.449212
1/21/98 5.91 0 32.29 0.4492121/22/98 5.77 0 30.19 0.449212
1/23/98 5.03 0 25.85 0.449212
1/24/98 4.79 1 26.15 0.4492121/25/98 4.53 1 25.57 0.449212
1/26/98 4.66 0 22.13 0.449212
1/27/98 4.74 0 23.45 0.4492121/28/98 4.50 0 25.25 0.449212
1/29/98 4.44 0 25.83 0.4492121/30/98 5,24 0 27.65 0.4492121/31/98 5.47 1 28.96 0.449212
1/1/99 6.16 1 30.91 0.44151/2/99 6.77 1 35.95 0.4415
1/3/99 7.06 1 37.55 0.44151/4/99 7.18 0 36.92 0.44151/5/99 6.32 0 31.4 0.44151/6/99 6.33 0 30.63 0.44151/7/99 6.40 0 30.97 0.44151/8/99 6,32 0 32,2 0.44151/9/99 5,81 1 29,54 0.4415
1/10/99 5.35 1 25.12 0.44151/11/99 5.88 0 30.6 0.44151/12/99 6.16 0 30.72 0.44151/13/99 5.94 0 30.64 0.4415
1/14/99 5.60 0 27.84 0.44151/15/99 4.80 0 23.02 0.44151/16/99 5.81 1 25.63 0.44151/17/99 5.93 1 30.74 0.44151/18/99 5.10 0 23.28 0.44151/19/99 5.68 0 25.58 0.44151/20/99 5,52 0 26.12 0.44151/21/99 5.76 0 27,34 0.44151/22/99 6.12 0 30,24 0.4415
1/23/99 6.29 1 29.85 0.44151/24/99 6.52 1 36.69 0.44151/25/99 7.47 0 43.13 0.44151/26/99 7.65 0 39.83 0.44151/27/99 7.52 0 40.94 0.44151/28/99 7.62 0 40.45 0.44151/29/99 7.65 0 38.28 0.44151/30/99 6.86 1 37.74 0.44151/31/99 6,35 1 34.03 0.44151/1/00 7.09 1 42.19 0.483927
1/2/00 7.50 1 41.24 0.483927
1/3/00 6,97 0 40.73 0.483927
1/4/00 6.60 0 31.9 0.483927
1/5/00 6,63 0 35.39 0.483927
1/6/00 6,62 0 40.12 0.483927
1/7/00 6,32 0 38,13 0.483927
1/8/00 6.27 1 35.5 0.483927
1/9/00 6.01 1 33.67 0.483927
1/10/00 5,93 0 29.84 0.483927
1/11/00 6,03 0 25.99 0.483927
1/12/00 6,59 0 35.68 0.483927
1/13/00 5.79 0 30.86 0.483927
1/14/00 5.02 0 24.25 0.483927
1/15/00 4.79 1 25.34 0.483927
1/16/00 4,38 1 20.84 0.483927
1/17/00 5.66 0 30.88 0.483927
1/18/00 5.96 0 33.9 0.483927
1/19/00 5.47 0 30.99 0.483927
1/20/00 5.06 0 28.67 0.483927
1/21/00 5.39 0 31.12 0.483927
1/22/00 5.90 1 31.8 0.483927
1/23/00 5.77 1 34.92 0.483927
1/24/00 5.35 0 28.79 0.483927
1/25/00 4.75 0 25.14 0.483927
1/26/00 6.20 0 30.96 0.483927
1/27/00 7.37 0 38.69 0.483927
1/28/00 6.83 0 40.26 0.483927
1/29/00 7.13 1 40.85 0.483927
1/30/00 6.73 1 39.41 0.483927
1/31/00 5.90 0 35.37 0.483927
1/1/01 7.09 1 41.38 0.63895
1/2/01 7.57 0 41.34 0.63895
1/3/01 7.13 0 40.61 0.63895
1/4/01 6.91 0 39.4 0.63895
1/5/01 6.75 0 38.74 0.63895
1/6/01 7.21 1 42.8 0.63895
1/7/01 6.84 1 41.03 0.63895
1/8/01 6.69 0 39.37 0.63895
1/9/01 6.30 0 36.02 0,63895
1/10/01 6.01 0 32.81 0,63895
1/11/01 5.88 0 32.85 0,63895
1/12/01 5.77 0 32.05 0.63895
1/13/01 5.59 1 33.99 0.63895
1/14/01 6.24 1 35.58 0.63895
1/15/01 7.38 0 42.54 0.63895
1/16/01 8.04 0 47.23 0,63895
1/17/01 8.15 0 47.35 0.63895
1/18/01 7.29 0 42,82 0.63895
1/19/01 7.33 0 40.39 0.63895
1/20/01 7,15 1 42.79 0,63895
1/21/01 6.76 1 40.1 0.63895
1/22101 6.87 0 41.66 0.63895
1/23/01 7.28 0 43.39 0,63895
1/24/01 6.65 0 39.77 0.63895
1/25/01 6.68 0 37.73 0.63895
1/26/01 7.17 0 43.12 0.63895
1/27/01 7.73 1 46.92 0.63895
1/28/01 8.29 1 49,97 0.63895
1/29/01 8.41 0 49.38 0.63895
1/30/01 8,03 0 49.16 0,63895
1/31/01 7.26 0 44.57 0.63895
1/1/02 6.25 1 37.5 0.795226
1/2/02 6.38 0 36.75 0.795226
1/3/02 5.96 0 34.09 0.795226
1/4/02 6.70 0 39.13 0.795226
1/5/02 6.34 1 40.11 0.795226
1/6/02 5.59 1 32.09 0.795226
1/7/02 5.28 0 26.75 0.795226
1/8/02 5.27 0 29.47 0.795226
1/9/02 5,74 0 32.25 0.795226
1/10/02 6.34 0 35.15 0.795226
1/11/02 5.79 0 34.4 0.795226
1/12/02 5.30 1 30.16 0.795226
1/13/02 5.88 1 35.67 0,795226
1/14/02 6.13 0 36,71 0.795226
1/15/02 7.10 0 38.66 0.795226
1/16/02 7.07 0 41.88 0.795226
1/17/02 6.99 0 41.77 0.795226
1/18/02 6.62 0 41.09 0.795226
1/19/02 6.64 1 42.8 0.795226
1/20/02 6.53 1 41.1 0.795226
1/21/02 6.19 0 29.97 0.795226
1/22/02 6.73 0 41.29 0.795226
1/23/02 6.48 0 41.27 0.795226
1/24/02 6.05 0 34.83 0.795226
1/25/02 5.20 0 28.75 0.795226
1/26/02 5.01 1 28.12 0.795226
1/27/02 6.19 1 36.39 0.795226
1/28/02 7.52 0 45.15 0.795226
1/29/02 8.10 0 48.87 0.795226
1/30/02 8.18 0 50.99 0.795226
1/31/02 7.49 0 43.95 0.795226
1/1/03 5.24 1 31.92 0.556073
1/2/03 5.02 0 28.88 0,556073
1/3/03 4.11 0 23.9 0.556073
1/4/03 4.45 1 25.26 0.556073
1/5/03 5.04 1 28.73 0,556073
1/6/03 5,65 0 32.77 0.556073
1/7/03 5.87 0 34.04 0.556073
1/8/03 6.33 0 39.17 0.556073
1/9/03 6.35 0 39.34 0.556073
1/10/03 5.67 0 36,3 0.556073
1/11/03 5.06 1 30.92 0.556073
1/12/03 4.49 1 27.25 0.556073
1/13/03 3.74 0 20.81 0.556073
1/14/03 4.48 0 23.89 0.556073
1/15/03 5.10 0 31.02 0.556073
1/16/03 5.41 0 32,81 0,556073
1/17/03 5.16 0 35.96 0.556073
1/18/03 5.59 1 36 0.556073
1/19/03 5.12 1 32.81 0.556073
1/20/03 5.51 0 34.46 0.556073
1/21/03 5.35 0 32.96 0.556073
1/22/03 5.10 0 28,72 0.556073
1/23/03 4,13 0 23.91 0.556073
1/24/03 4.21 0 27.71 0.556073
1/25/03 3.78 1 23.91 0.556073
1/26/03 3.31 1 18.88 0.556073
1/27/03 4.07 0 21.23 0.556073
1/28/03 4.57 0 27.98 0.556073
1/29/03 4.33 0 27.38 0,556073
1/30/03 3.51 0 20.28 0,556073
1/31/03 2.72 0 13.32 0.556073
1/1/04 5.923597 0 29.83 0.761264
1/2/04 6.021528 0 36.73 0.761264
1/3/04 6.50337 1 43.79 0.761264
1/4/04 7.329139 1 44.86 0.761264
1/5/04 9.019259 0 58.28 0.761264
1/6/04 8.31616 0 52.17 0.761264
1/7/04 6.784979 0 39.14 0.761264
1/8/04 6.004571 0 35.85 0.761264
1/9/04 5.571576 0 35.92 0.761264
1/10/04 6.017513 1 38.44 0.761264
1/11/04 6.206451 1 40.15 0,761264
1/12/04 6.584922 0 41.31 0.761264
1/13/04 6,677086 0 42.24 0.761264
1/14/04 7.13903 0 43.37 0.761264
1/15/04 7,717437 0 46.37 0,761264
1/16/04 7.124363 0 41.84 0.761264
1/17/04 7.203311 1 41.16 0.761264
1/18/04 7,225537 1 47.52 0.761264
1/19/04 6.713719 0 39.09 0.761264
1/20/04 6.530041 0 38.2 0.761264
1/21/04 6.912293 0 39.42 0.761264
1/22/04 7.504994 0 43,03 0.761264
1/23/04 7.226064 0 44.16 0,761264
1/24/04 6,945629 1 39.35 0.761264
1/25/04 6.586542 1 40.53 0.761264
1/26/04 6.361729 0 38.98 0.761264
1/27/04 5.955224 0 33.96 0.761264
1/28/04 5.465201 0 30.28 0.761264
1/29/04 4.921018 0 27.84 0,761264
1/30/04 5.536831 0 27.36 0.761264
1/31/04 6.192833 1 36.58 0.761264
1/1/05 5.911342 1 34.79 0.841459
1/2/05 6.046939 1 37.55 0.841459
1/3/05 6.512594 0 39.49 0.841459
1/4/05 7.257242 0 42.47 0.841459
1/5/05 7.536201 0 43.83 0.841459
1/6/05 7.20823 0 43.81 0.841459
1/7/05 6.720729 0 36.55 0.841459
1/8/05 5.920163 1 30.69 0.841459
1/9/05 5.214739 1 29.4 0.841459
1/10/05 5.676041 0 35 0.841459
1/11/05 6.558489 0 36.02 0.841459
1/12/05 6.642578 0 36.74 0.841459
1/13/05 6.643653 0 37.56 0.841459
1/14/05 6.903251 0 42.66 0,841459
1/15/05 6.905436 1 45,99 0.841459
1/16/05 6,193817 1 38.96 0.841459
1/17/05 5.693524 0 33.11 0.841459
1/18/05 5.114313 0 29.4 0.841459
1/19/05 5.138932 0 31.99 0,841459
1/20/05 5.461114 0 33,38 0.841459
1/21/05 5.739335 0 35.48 0.841459
1/22/05 5.510754 1 35.29 0.841459
1/23/05 5,575952 1 35.23 0.841459
1/24/05 6.006275 0 38.06 0.841459
1/25/05 6.124059 0 36.88 0.841459
1/26/05 5.317102 0 33.89 0.841459
1/27/05 4.894273 0 29.94 0,841459
1/28/05 4.35296 0 24.72 0.841459
1/29/05 5.001598 1 29.84 0.841459
1/30/05 5.112016 1 30,37 0.841459
1/31/05 5.636509 0 32.67 0.841459
1/1/06 4,830882 1 26.82 1.087998
1/2/06 4.974969 0 25.39 1.087998
1/3/06 4.913572 0 27.49 1.087998
1/4/06 5.12364 0 29.18 1.087998
1/5/06 5.407547 0 29.57 1,087998
1/6/06 5,694295 0 33.06 1.087998
1/7/06 5.190057 1 29,11 1.087998
1/8/06 5.726798 1 32.62 1.087998
1/9/06 5.574393 0 33,22 1.087998
1/10/06 5.172869 0 27.72 1.087998
1/11/06 5.234599 0 24.47 1.087998
1/12/06 4.966302 0 31.73 1.087998
1/13/06 4,82669 0 25.24 1.087998
1/14/06 4.848547 1 23.39 1.087998
1/15/06 6.062865 1 33.79 1.087998
1/16/06 6.15651 0 38.52 1.087998
1/17/06 5.320483 0 30.46 1.087998
1/18/06 5.264035 0 27.95 1.087998
1/19/06 5.36558 0 33.72 1.087998
1/20/06 5.964766 0 32.83 1.087998
1/21/06 5.694354 1 34.28 1.087998
1/22/06 6.300537 1 39.19 1.087998
1/23/06 6.425561 0 38.48 1.087998
1/24/06 6.288883 0 36.33 1.087998
1/25/06 6.073825 0 36.84 1.087998
1/26/06 5.898659 0 36.26 1.087998
1/27/06 5.503903 0 31.39 1.087998
1/28/06 6.139114 1 33.46 1.087998
1/29/06 5.462328 1 33.11 1.087998
1/30/06 5,165882 0 25.87 1.087998
1/31/06 5.409397 0 30,85 1.087998
1/1/07 6,688665 0 42.32 1.046603
1/2/07 6,235658 0 35.57 1.046603
1/3/07 5.366418 0 27.03 1.046603
1/4/07 6.002981 0 31.06 1.046603
1/5/07 6,534634 0 37.28 1.046603
1/6/07 6.509073 1 35.14 1.046603
1/7/07 5.844463 1 34.66 1.046603
1/8/07 4.811921 0 25.62 1,046603
1/9/07 4.4127 0 25.73 1.046603
1/10/07 5,979824 0 29.57 1,046603
1/11/07 8.144571 0 44.2 1.046603
1/12/07 8,694371 0 54.36 1.046603
1/13/07 8.432378 1 53.7 1.046603
1/14/07 8.845544 1 53.35 1.046603
1/15/07 8.98664 0 52.14 1.046603
1/16/07 8.808398 0 49.85 1.046603
1/17/07 8.314609 0 49.53 1.046603
1/18/07 7.65672 0 45.81 1.046603
1/19/07 7.317937 0 43.52 1.046603
1/20/07 7.115112 1 42.82 1.046603
1/21/07 6.802931 1 40.5 1.046603
1/22/07 6.724413 0 39.66 1.046603
1/23/07 6.674766 0 38.8 1.046603
1/24/07 6.346732 0 37,52 1.046603
1/25/07 6.180127 0 36.1 1.046603
1/26/07 6.143853 0 37.2 1,046603
1/27/07 6.432556 1 38.08 1.046603
1/28/07 6.734685 1 40.36 1.046603
1/29/07 6.394104 0 41.01 1.046603
1/30/07 6.051122 0 35,88 1.046603
1/31/07 6.396297 0 40.69 1.046603
FebDate FEBusage FEBwknd FEBDO FebP
2/1/90 6.52 0 32.68 43.93196
2/2/90 6,13 0 37.08 43.93196
2/3/90 5.34 1 32.97 43.93196
2/4/90 6.75 1 34.5 43.93196
2/5/90 6,32 0 37.76 43.93196
2/6/90 6.73 0 35.37 43.93196
2/7/90 7.46 0 39.15 43.93196
2/8/90 6.44 0 38.63 43.93196
2/9/90 5.05 0 30.33 43.93196
2/10/90 4.16 1 23.03 43.93196
2111/90 4.63 1 21.35 43.93196
2112/90 6.99 0 30.49 43.93196
2113/90 8.54 0 41.28 43.93196
2/14/90 8.74 0 46.03 43.93196
2/15/90 7.84 0 46.15 43.93196
2/16/90 7.08 0 36.82 43,93196
2/17/90 6.52 1 39.15 43.93196
2/18/90 7.02 1 42.4 43.93196
2/19/90 7,18 0 41.14 43.93196
2/20/90 6.44 0 39.67 43.93196
2/21/90 5,98 0 32.61 43.93196
2/22/90 5.05 0 28.41 43.93196
2/23/90 4.4 0 25.88 43.93196
2/24/90 4.14 1 24.79 43.93196
2/25/90 4.17 1 24.39 43.93196
2/26/90 4.73 0 25.86 43.93196
2/27/90 4.98 0 27.73 43.93196
2128/90 4.49 0 27.13 43.93196
2/1/91 3.14 0 36.81 43.40735
2/2/91 2.34 1 32.41 43.40735
2/3/91 2.29 1 25.15 43.40735
214/91 2,32 0 22,14 43.40735
2/5/91 2.61 0 24.78 43.40735
2/6/91 2.74 0 28.59 43.40735
217/91 2.82 0 29.26 43.40735
2/8/91 2.93 0 29.52 43.40735
2/9/91 2.95 1 31 43.40735
2/10/91 3.14 1 32.13 43.40735
2/11/91 3.21 0 31.94 43.40735
2/12/91 2.91 0 27.72 43.40735
2113/91 2.58 0 24.16 43.40735
2/14/91 2.54 0 21.21 43.40735
2115/91 2.17 0 21.38 43.40735
2116/91 2.93 1 22,28 43.40735
2117/91 3,71 1 26.73 43.40735
2/18/91 3.62 0 31.5 43.40735
2/19/91 3.27 0 23.4 43.40735
2/20/91 2.81 0 20.5 43.40735
2/21/91 2.63 0 19.23 43.40735
2122/91 2.82 0 19.4 43.40735
2123/91 3.2 1 23.98 43.40735
2/24/91 3.66 1 27.24 43.40735
2/25/91 3.93 0 26.29 43.40735
2/26/91 4.14 0 24.26 43.40735
2/27/91 4.42 0 24.36 43.40735
2/28/91 3,96 0 24.74 43.40735
2/1/92 4.31 1 24.82 43.13063
2/2/92 5.69 1 28.88 43.13063
2/3/92 6.11 0 31.98 43.13063
2/4/92 6.11 0 31.59 43.13063
2/5/92 6.19 0 32.71 43,13063
2/6/92 6.3 0 32.14 43,13063
2/7/92 5.13 0 31.07 43,13063
2/8/92 4.65 1 27.96 43.13063
2/9/92 5.19 1 28.37 43.13063
2/10/92 5,24 0 26.43 43.13063
2/11/92 5.06 0 23.38 43.13063
2/12/92 4.43 0 23.6 43.13063
2/13/92 4.35 0 22.48 43,13063
2/14/92 4.09 0 22.92 43.13063
2/15/92 4.49 1 24 43,13063
2/16/92 5.03 1 29 43,130632/17/92 5,02 0 27.98 43.13063
2/18/92 4.48 0 26.77 43.13063
2/19/92 3.93 0 21.27 43.13063
2/20/92 4.56 0 19.77 43.13063
2/21/92 4.04 0 22.9 43.13063
2/22/92 4,21 1 23.08 43,13063
2/23/92 4.27 1 26.23 43.13063
2/24/92 4.36 0 24.97 43.13063
2/25/92 3.95 0 23.02 43.13063
2/26/92 3.58 0 22,92 43,13063
2/27/92 3.26 0 18.68 43.13063
2/28/92 2.82 0 17.93 43.13063
2/29/92 7.97 1 15.67 43.13063
2/1/93 8 0 43.75 47.15709
2/2/93 7.84 0 45.52 47.15709
2/3/93 7.47 0 46,13 47,15709
2/4/93 6.96 0 42.73 47.15709
2/5/93 6.11 0 41.79 47.15709
2/6/93 5.55 1 38.43 47.15709
2/7/93 6,08 1 34.41 47.15709
2/8/93 5.28 0 34.78 47.15709
2/9/93 5,22 0 29.1 47.15709
2/10/93 5.56 0 27.74 47.15709
2/11/93 6,01 0 28.41 47.15709
2/12/93 5.15 0 31.86 47.15709
2/13/93 5.33 1 31.49 47,15709
2/14/93 7.95 1 33.76 47.15709
2/15/93 9.22 0 40.59 47.15709
2/16/93 8.74 0 52.56 47.15709
2/17/93 6.76 0 55.64 47.157092/18/93 4.91 0 42.07 47.15709
2/19/93 5.65 0 28.26 47.15709
2/20/93 6.4 1 29.77 47.15709
2/21/93 6.57 1 36.93 47.15709
2/22/93 6.72 0 38.72 47.15709
2/23/93 7.24 0 36.95 47.15709
2/24/93 7.4 0 38.13 47.15709
2/25/93 7,94 0 44.09 47.15709
2/26/93 7.64 0 49.01 47.15709
2/27/93 7.73 1 52.72 47.15709
2/28/93 7.36 1 51.98 47.15709
2/1/94 7,27 0 41.56 48.28362
2/2/94 7,05 0 42.04 48.28362
2/3/94 7.01 0 40.14 48.28362
2/4/94 6.45 0 40.77 48.28362
2/5/94 5.57 1 38.19 48.28362
2/6/94 6.3 1 36.22 48.28362
2/7/94 7,72 0 31.11 48.28362
2/8/94 6.88 0 41.32 48.28362
2/9/94 6.68 0 41.16 48.28362
2/10/94 6.85 0 35.8 48.28362
2/11/94 7.12 0 38.75 48.28362
2/12/94 6.13 1 43.43 48.28362
2/13/94 5.63 1 39.11 48.28362
2/14/94 5.63 0 31.78 48.28362
2/15/94 4.44 0 32.87 48.28362
2/16/94 4.63 0 26.27 48.28362
2/17/94 5.61 0 22.36 48,28362
2/18/94 5.77 0 28.48 48,28362
2/19/94 5.8 1 33.08 48.28362
2/20/94 6.04 1 31.8 48.28362
2/21/94 6.13 0 32.38 48.28362
2/22/94 6.22 0 34.8 48.28362
2/23/94 4.8 0 32.77 48.28362
2/24/94 3.84 0 25,01 48.28362
2/25/94 4.27 0 21.96 48.28362
2/26/94 4.74 1 22.48 48.28362
2/27/94 4.46 1 24.78 48.28362
2/28/94 3.88 0 23.94 48.28362
2/1/95 3,81 0 17.7 45.18084
2/2/95 4.07 0 22.16 45.18084
2/3/95 3.88 0 25 45.18084
2/4/95 3.98 1 24.59 45.18084
2/5/95 4.23 1 23.67 45.18084
2/6/95 4.47 0 24.3 45.18084
21/95 4.44 0 24.9 45.18084
2/8/95 4.59 0 24.14 45.18084
2/9/95 4.94 0 28.25 45.18084
2/10/95 6,54 0 29.79 45.18084
2/11/95 6.75 1 35.41 45.18084
2/12/95 6.47 1 39.87 45.18084
2/13/95 7.22 0 37.74 45.18084
2/14/95 6.72 0 42.23 45.18084
2/15/95 5.22 0 40.75 45.18084
2/16/95 4.55 0 34.73 45.18084
2/17/95 3.37 0 26.35 45.18084
2/18/95 2.88 1 20.31 45.18084
2/19/95 3,01 1 14.02 45.18084
2/20/95 3.25 0 16.61 45.18084
2/21/95 3.11 0 19.73 45.18084
2/22/95 2.91 0 19.22 45.18084
2/23/95 2,71 0 17.64 45.18084
2/24/95 2.79 0 16,55 45.18084
2/25/95 3.02 1 17.76 45.18084
2/26/95 4.16 1 19.23 45.18084
2/27/95 4.69 0 23,16 45.18084
2/28/95 10.08 0 28.53 45,18084
2/1/96 10.57 0 57.11 45.05938
2/2/96 10.27 0 59,63 45,05938
2/3/96 8.27 1 59.79 45.05938
2/4/96 5.91 1 50.33 45.05938
2/5/96 5.22 0 38.85 45.05938
2/6/96 4.64 0 38.85 45.05938
2/7/96 3.94 0 38.85 45.05938
2/8/96 4.6 0 38.85 45.05938
2/9/96 5.19 0 38.85 45.05938
2/10/96 4.88 1 38.85 45.05938
2/11/96 4.95 1 31.81 45.05938
2/12/96 4.79 0 27.04 45.05938
2/13/96 4.48 0 27.03 45.05938
2/14/96 4.46 0 25.38 45.05938
2/15/96 3.87 0 23.49 45.05938
2/16/96 4.04 0 24.04 45.05938
2/17/96 3.06 1 20.67 45.05938
2/18/96 4.21 1 19.93 45.05938
2/19/96 3.93 0 18.73 45.05938
2/20/96 4,39 0 19.5 45,05938
2/21/96 5.73 0 19.5 45.05938
2/22/96 5,88 0 25.55 45.05938
2/23/96 6.14 0 29.13 45.05938
2/24/96 6.57 1 34.06 45.05938
2/25/96 7.76 1 39.86 45.05938
2/26/96 7.65 0 43.02 45.05938
2/27/96 6.82 0 43.08 45.05938
2/28/96 5;88 0 37.81 45.05938
2/29/96 4.89 0 36.67 45.05938
2/1/97 5.76 1 26.18 44.45219
2/2/97 5,96 1 31.88 44.45219
2/3/97 6.32 0 32.95 44.45219
2/4/97 6.67 0 34.48 44.45219
2/5/97 6.88 0 37.24 44.45219
2/6/97 6.99 0 39.29 44.45219
2/7/97 6.33 0 37.8 44.45219
2/8/97 6.06 1 36.65 44.45219
2/9/97 5.81 1 33.27 44.45219
2/10/97 5.38 0 31.8 44.45219
2/11/97 6 0 28.81 44.45219
2/12/97 5.43 0 28.76 44.45219
2/13/97 4.96 0 31.13 44.45219
2/14/97 4 0 25.25 44.45219
2/15/97 3.64 1 23.25 44.45219
2/16/97 4.85 1 23.5 44.45219
2/17/97 4.64 0 23.21 44.45219
2/18/97 5.49 0 29.12 44.45219
2/19/97 6.04 0 23.12 44.45219
2/20/97 5.72 0 31.37 44.45219
2/21/97 5.76 0 33.19 44.45219
2/22/97 5.75 1 32.5 44.45219
2/23/97 5.82 1 33.4 44.45219
2/24/97 4.99 0 33.36 44.45219
2/25/97 4,91 0 29.98 44.45219
2/26/97 5.67 0 26.72 44.45219
2/27/97 6.01 0 31.42 44.45219
2/28/97 5.05 0 34.12 44.45219
2/1/98 5.05 1 30.15 44.91462
2/2/98 4,80 0 26.44 44.91462
2/3/98 4.01 0 18.42 44.91462
2/4/98 4.75 0 22.22 44.91462
2/5/98 4.78 0 27.04 44.91462
2/6/98 4.47 0 24.96 44.91462
2/7/98 3.73 1 19.22 44.91462
2/8/98 4.53 1 24.34 44,91462
2/9/98 5.45 0 29.54 44.91462
2/10/98 5.67 0 30.73 44.91462
2/11/98 5.37 0 29.18 44.91462
2/12/98 5.21 0 28.11 44.91462
2/13798 4.84 0 26.48 44.91462
2/14/98 5.12 1 26.5 44.91462
2/15/98 5.34 1 27.78 44.91462
2/16/98 5.04 0 31.48 44.91462
2/17/98 5.11 0 28.39 44.91462
2/18/98 4.89 0 29.16 44.91462
2/19/98 4.88 0 26.66 44.91462
2/20/98 4.23 0 24.61 44.91462
2/21/98 4,81 1 22.9 44.91462
2/22/98 4.90 1 28.22 44.91462
2/23/98 4.96 0 28.75 44.91462
2/24/98 6.10 0 30.27 44.91462
2/25/98 5.91 0 35.18 44.91462
2/26/98 6.33 0 34.97 44,91462
2/27/98 5.95 0 36.56 44.91462
2/28/98 5.45 1 35.81 44.91462
2/1/99 6.96 0 34.66 44.14176
2/2/99 6.59 0 35.33 44.14176
2/3/99 6.14 0 37.06 44.14176
2/4/99 6.14 0 30.53 44.14176
2/5/99 5.69 0 34,56 44.14176
2/6/99 5.54 1 29,14 44.14176
2/7/99 5.33 1 23.37 44.14176
2/8/99 6.20 0 31.65 44.14176
2/9/99 6.44 0 24.78 44.14176
2/10/99 7.72 0 39.25 44.14176
2111/99 7.43 0 40.75 44.14176
2/12/99 6.96 0 36.92 44.14176
2/13/99 6.02 1 33.71 44.14176
2114/99 6.23 1 35.34 44.14176
2115/99 5.71 0 33.24 44.14176
2116/99 5.33 0 28.31 44,14176
2/17/99 5.92 0 30.08 44.14176
2/18/99 6.53 0 31.7 44.14176
2/19/99 5.81 0 30.66 44.14176
2/20/99 5.82 1 33.38 44.14176
2121/99 6.24 1 29.49 44.14176
2/22199 5.85 0 33.61 44.14176
2/23/99 4.74 0 23.28 44.14176
2124/99 3.70 0 17.58 44.14176
2/25/99 5.22 0 24.4 44.14176
2126/99 5.28 0 30.69 44.14176
2/27/99 4.56 1 26.39 44.14176
2128/99 3.71 1 18.68 44.14176
2/1/00 5.56 0 28.77 48.39031
212100 4.94 0 26.77 48.39031
2/3/00 4.95 0 29.78 48,39031
214/00 4.69 0 27.33 48.39031
215/00 4.11 1 22.82 48.39031
216/00 4.40 1 26.46 48.39031
217/00 4.51 0 25.63 48.39031
218/00 4.14 0 24.26 48.39031
219/00 3.71 0 20.9 48,39031
2110/00 3.84 0 25.34 48.39031
2111/00 4.23 0 24.31 48.39031
2/12100 4.59 1 25,6 48,39031
2113/00 4.74 1 29.03 48.39031
2114/00 3,91 0 17.19 48.39031
2115/00 4.26 0 26.01 48.39031
2/16/00 4.97 0 28.79 48.39031
2117/00 4.98 0 28.47 48.39031
2/18/00 4.96 0 32.57 48.39031
2/19/00 4.78 1 30.93 48.39031
2/20/00 4.18 1 26.06 48.39031
2/21/00 3.39 0 17.08 48.39031
2/22100 3.88 0 21,07 48,39031
2/23/00 4.40 0 22.77 48.39031
2124/00 5.01 0 30,29 48.39031
2/25/00 4.83 0 33.46 48.39031
2/26/00 4.73 1 28.94 48.39031
2/27/00 4.24 1 23.03 48.39031
2/28/00 4.30 0 23,98 48.39031
2129/00 4.32 0 25,68 48.39031
2/1/01 7.09 0 43.48 63.88984
2/2/01 6.47 0 40.1 63.88984
2/3/01 5.71 1 33.58 63.88984
2/4/01 5.14 1 30.29 63,88984
2/5/01 5.87 0 32.33 63,88984
2/6/01 6.98 0 40 63.88984
2/7/01 8.06 0 44.26 63.88984
2/8/01 8.07 0 49.88 63.88984
2/9/01 7.80 0 43.76 63.88984
2/10/01 6.79 1 36.58 63.88984
2/11/01 5.48 1 34,83 63.88984
2/12/01 6.41 0 37.63 63.88984
2/13/01 7.22 0 39.83 63.88984
2/14/01 7.16 0 42.06 63.88984
2/15/01 6.21 0 34.27 63.88984
2/16/01 5.61 0 31.77 63.88984
2/17/01 5.32 1 33.93 63,88984
2/18/01 4,35 1 27.21 63.88984
2/19/01 4.82 0 27.3 63.88984
2/20/01 4.81 0 25.39 63.88984
2/21/01 5.05 0 27.35 63.88984
2/22/01 4.75 0 27.06 63.88984
2/23/01 5.29 0 28.56 63.88984
2/24/01 4.81 1 31.73 63.88984
2/25/01 5,24 1 29.4 63.88984
2/26/01 5.80 0 35.33 63.88984
2/27/01 6.09 0 35.53 63.88984
2/28/01 5.78 0 37.44 63.88984
2/1/02 7.03 0 40.88 79.52425
2/2/02 6.67 1 40.67 79,52425
2/3/02 7.04 1 42.79 79,52425
2/4/02 7.38 0 44.82 79.52425
2/5/02 7.49 0 44.7 79.52425
2/6/02 6.82 0 42.73 79.52425
2/7/02 5.59 0 32.34 79.52425
2/8/02 6.11 0 29.04 79,52425
2/9/02 6.02 1 38.17 79.52425
2/10/02 6.48 1 39.08 79.52425
2/11/02 6.18 0 36.49 79.52425
2/12/02 6.64 0 41.05 79.52425
2/13/02 6,90 0 40.63 79.52425
2/14/02 6.30 0 38.8 79.52425
2/15/02 6.39 0 39.61 79.52425
2/16/02 5.70 1 36,36 79.52425
2/17/02 5.19 1 34.13 79.52425
2/18/02 5.11 0 32.32 79.52425
2/19/02 5.25 0 30.11 79.52425
2/20/02 4.86 0 28.81 79.52425
2/21/02 4.98 0 28.9 79,52425
2/22/02 4.01 0 25.37 79.52425
2/23/02 4.18 1 24.4 79.52425
2/24/02 5.67 1 30.82 79.52425
2125/02 6.90 0 43.54 79.52425
2/26/02 7.24 0 43.1 79,52425
2127/02 6.00 0 40.6 79.52425
2128/02 6.54 0 38.35 79.52425
211/03 4.428032 1 21.22 55.60696
212/03 4.941895 1 28.37 55.60696
213/03 5.476501 0 31.72 55.60696
214/03 5.832206 0 33.15 55.60696
215/03 6.555274 0 38.02 55.60696
216/03 6.682688 0 39.84 55.6069621/03 6.368381 0 40.32 55.60696
218/03 6.384585 1 40.03 55.60696
219/03 5.51056 1 34.95 55.60696
2110/03 5.233476 0 29.33 55,60696
2/11/03 5.049976 0 30.95 55.60696
2112103 4.431972 0 27.57 55.60696
2/13/03 4.573699 0 27,98 55.60696
2114/03 4.303739 0 24.46 55.60696
2/15/03 3.787598 1 22.43 55.60696
2116/03 4.624077 1 23.24 55,60696
2117/03 4.632274 0 25.32 55.60696
2/18/03 5.278907 0 27,94 55,60696
2119/03 4.909517 0 28.21 55.60696
2120/03 4.507229 0 26.41 55.60696
2121/03 4.11967 0 19.9 55.60696
2122103 5.005084 1 25.47 55.60696
2123/03 6.201809 1 34.67 55,60696
2124/03 6.847871 0 41.08 55.60696
2125/03 6.394255 0 39,09 55,60696
2126/03 5.607095 0 35.28 55.60696
2127/03 5.623156 0 32,22 55,60696
2/28/03 5.425349 0 34.22 55.60696
211/04 6.611916 1 38.68 76.12521
212104 6.681492 0 37.71 76.12521
2/3/04 5.962314 0 34.12 76.12521
2/4/04 5.756072 0 34.37 76.12521
215/04 6.027045 0 35.43 76.12521
2/6/04 6.135337 0 37.42 76.12521
2/7/04 6.158743 1 37,11 76.12521
2/8/04 6.399593 1 36.98 76.12521
219/04 6.191222 0 37,99 76.12521
2110/04 6.647361 0 40.46 76.12521
2111/04 6,948187 0 43.09 76.12521
2/12/04 7.610183 0 45.4 76,12521
2/13/04 7.414424 0 48.8 76.12521
2114/04 6.731812 1 44.28 76.12521
2/15/04 6.239592 1 39.04 76.12521
2/16/04 6.036644 0 34.31 76.12521
2117/04 4.217391 0 22.41 76.12521
2/18/04 4.487415 0 22.57 76.12521
2119/04 4.885358 0 27.62 76.12521
2/20/04 5.133985 0 31.59 76.12521
2/21/04 5.302355 1 34,94 76.12521
2/22/04 4.96105 1 31.44 76,12521
2/23/04 4.298647 0 26.66 76.12521
2124/04 5.299671 0 28.57 76.12521
2/25/04 5.166855 0 28.09 76.12521
2126/04 4.653975 0 23.76 76.12521
2/27/04 4.407616 0 27.08 76.12521
2/28/04 4.703933 1 26.32 76.12521
2/29/04 4.69924 1 29.37 76.12521
211/05 5.529904 0 33.44 84.14245
212/05 5.584633 0 33.1 84.14245
2/3/05 5,530568 0 33.85 84.14245
2/4/05 5.469861 0 35.42 84.14245
2/5/05 5.604066 1 32.3 84.14245
2/6/05 5.753722 1 36.97 84.14245
217/05 5.474197 0 32.67 84.14245
218/05 5.871781 0 35.2 84.14245
219/05 5.893145 0 35.78 84.14245
2/10/05 5.702461 0 35.56 84.14245
2/11/05 5.313876 0 36.01 84.14245
2/12/05 4.370157 1 26.77 84.14245
2/13/05 4,9033 1 25.06 84.14245
2114/05 5.996332 0 34.19 84.14245
2/15/05 6,516691 0 40.59 84.14245
2116/05 6.6035 0 41.01 84.14245
2/17/05 6.342999 0 40.56 84.14245
2/18/05 5.558422 0 37.52 84.14245
2/19/05 5.184314 1 32.51 84.14245
2120/05 4.476796 1 26.65 84,14245
2121/05 4.649915 0 28.52 84,14245
2/22/05 4.581127 0 28,32 84.14245
2/23/05 4.441021 0 28.77 84.14245
2/24/05 4.415016 0 27.77 84.14245
2/25/05 4.224914 0 27.64 84.14245
2126/05 4.116671 1 28.59 84.14245
2/27/05 3.930389 1 26.3 84.14245
2/28/05 4.407831 0 25.69 84.14245
2/1/06 4.486832 0 24.58 108.7957
2/2/06 4.832929 0 28.18 108.7957
2/3/06 4,168671 0 26.79 108.7957
2/4/06 5.079721 1 25.83 108.7957
2/5/06 5.526015 1 32.99 108.7957
2/6/06 6.301462 0 33.72 108.7957
217/06 5.746962 0 35.42 108.7957
218/06 5.57838 0 34.59 108.7957
2/9/06 5.816183 0 33.68 108.7957
2/10/06 6.728427 0 38.16 108.7957
2/11/06 6.532512 1 40.27 108.7957
2112106 6.143057 1 38.46 108.7957
2/13/06 5.47723 0 34.4 108.7957
2/14/06 6,114202 0 35.66 108.7957
2115/06 7.229869 0 38.96 108.7957
2116/06 7.361725 0 45.45 108,7957
2/17/06 8.161796 0 46.07 108.7957
2/18/06 8.124747 1 50.34 108.7957
2/19/06 7.457043 1 47,89 108.7957
2120/06 6,983747 0 45.53 108.7957
2121/06 6.476714 0 39,34 108.7957
2/22/06 5,570604 0 31.24 108.7957
2123/06 4.530894 0 29.32 108.7957
2/24/06 4.415288 0 26.85 108,7957
2/25/06 4.140815 1 28.39 108.7957
2/26/06 3.698471 1 22.46 108.7957
2/27/06 3.696027 0 17.83 108.7957
2/28/06 3.941038 0 18.74 108.7957
2/1/07 4.260712 0 42.09 104.6589
2/2/07 4.589406 0 45.8 104.6589
2/3/07 3.958653 1 40.34 104.6589
214/07 4.823846 1 26.99 104.6589
2/5/07 5.247705 0 26.1 104.6589
216/07 5.984148 0 23.99 104.6589
2/7/07 5.457617 0 26.71 104.6589
2/8/07 5.297568 0 22.88 104.6589
219/07 5.523448 0 20.67 104.6589
2/10/07 6.389833 1 24.36 104.6589
2/11/07 6.20383 1 22,68 104,6589
2/12/07 5.834019 0 26.27 104.6589
2113/07 5.201733 0 29.08 104.6589
2/14/07 5.806716 0 29.53 104.6589
2115/07 6,866334 0 25.06 104.6589
2116/07 6.99162 0 20.7 104.6589
2117/07 7.751534 1 21.98 104.6589
2/18/07 7.716414 1 25,76 104.6589
2119/07 7.082327 0 30.22 104.6589
2/20/07 6.632871 0 22.49 104.6589
2/21/07 6,151364 0 28.27 104.6589
2/22/07 5.290817 0 22.54 104.6589
2123/07 4.303364 0 30.99 104,6589
2/24/07 4.193599 1 34.45 104.6589
2/25/07 3,93294 1 29.91 104,6589
2126/07 3.512833 0 31.53 104,6589
2/27/07 3.510541 0 31.96 104.6589
2/28/07 3.75045 0 36.66 104.6589
Dale THERMS
1981.01 106.29
1981.02 99.00
1981.03 68.61
1981.04 58.02
1981.05 33.43
1981.06 19.36
1981.07 11.571981.08 8.63
1981,09 8.86
1981.10 27.73
1981.11 49.93
1981.12 82.66
1982.01 128.50
1982.02 113.01
1982.03 81.48
1982.04 71.90
1982.05 38.10
1982.06 19.62
1982.07 10.00
1982.08 7.60
1982.09 10.22
1982.10 28.75
1982,11 57.90
1982.12 94.85
1983.01 115.51
1983.02 87.08
1983.03 61.27
1983.04 63.13
1983.05 38.33
1983.06 16.83
1983.07 10.201983.08 7.82
1983.09 9.60
1983.10 22.60
1983.11 42.79
1983.12 93.70
1984.01 135.42
1984.02 116.41
1984.03 85.59
1984.04 60.62
1984.05 42.90
1984.06 20.68
1984.07 9.08
1984.08 6.27
1984.09 8.72
1984.10 24.59
1984.11 68.84
1984.12 101.46
1985.01 125.60
1985.02 134.10
1985.03 89.75
1985.04 55.25
1985.05 27.86
1985.06 13.82
1985.07 6.78
1985.08 6.14
1985.09 11.08
1985.10 31.01
1985.11 59.70
1985.12 125.28
1986.01 148.69
1986.02 94.33
1986.03 58.71
1986.04 42.63
1986.05 38.02
1986.06 14.55
PRICE
47.226
47.226
47.226
58.543
58.543
58.543
58.543
58.543
58.543
65.068
65.068
57.378
57.378
57.378
57.378
69.963
69.963
69.963
69.963
69.963
69.963
69.927
69.927
64.717
64.717
64.717
64.717
74.862
72.666
72.666
72,666
72.666
72.666
70.818
70.818
59.562
59.562
59.562
59.562
74.587
74.587
74.587
73.872
73.872
73.872
73.872
73.872
60.393
60.393
60.393
60.393
71.649
71.335
71.335
70.396
70.396
70.396
67.609
67.609
54.947
54,947
54.947
54.947
62.058
62.058
62.058
OclMarP SummerP WinterP TREND81 TREND92 TRENDOO WTREND81 WTREND92 WTRENDOO47.226 0 47.226 1 147.226 0 47.226 2 247.226 0 47.226 3 3o 58,543 0 4 0o 58.543 0 5 0o 58.543 0 6 0o 58.543 0 7 0o 58.543 0 8 0o 58.543 0 9 065.068 65.068 0 10 465.068 65.068 0 11 557.378 0 57.378 12 657.378 0 57.378 13 757.378 0 57.378 14 857.378 0 57.378 15 9o 69.963 0 16 0o 69.963 0 17 0o 69.963 0 18 0o 69.963 0 19 0o 69.963 0 20 0o 69.963 0 21 069.927 69.921 0 22 1069.927 69.927 0 23 1164.717 0 64.717 24 1264.717 0 64.717 25 1364.717 0 64.717 26 1464.717 0 64.717 27 15o 74.862 0 28 0o 72.666 0 29 0o 72,666 0 30 0o 72.666 0 31 0o 72.666 0 32 0o 72.666 0 33 070.818 70.818 0 34 1670.818 70.818 0 35 1759.562 0 59.562 36 1859.562 0 59.562 37 1959.562 0 59.562 38 2059.562 0 59.562 39 21o 74.587 0 40 0o ~ß~ 0 ~ 0o 74.587 0 42 0o 73.872 0 43 0o 73.872 0 44 0o 73.872 0 45 073.872 73.872 0 46 2273,872 73.872 0 47 2360.393 0 60,393 48 2460.393 0 60.393 49 2560.393 0 60.393 50 2660.393 0 60.393 51 27o 71.649 0 52 0o 71.335 0 53 0o 71.335 0 54 0o 70.396 0 55 0o 70.396 0 56 0o 70.396 0 57 067.609 67.609 0 58 2867.609 67.609 0 59 2954.947 0 54.947 60 3054.947 0 54.947 61 3154,947 0 54.947 62 3254.947 0 54.947 63 33o 62.058 0 64 0o 62.058 0 65 0o 62.058 0 66 0
RS-1 Non Peak
Date THERMS
1986.07 7.111986.08 6.22
1986.09 8.94
1986.10 29.95
1986.11 47.93
1986.12 87.89
1987.01 124.93
1987.02 94.58
1987.03 68.27
1987.04 48.93
1987.05 18.56
1987.06 12.19
1987.07 7.051987.08 7.03
1987.09 7.85
1987.10 17.34
1987.11 44.42
1987.12 82.07
1988.01 126.57
1988,02 99.87
1988.03 69.01
1988.04 56.29
1988.05 29.66
1988.06 14.77
1988.07 5.471988.08 6.15
1988.09 10.24
1988.10 15.90
1988.11 41.08
1988.12 97.05
1989.01 130.37
1989.02 135.92
1989.03 92.77
1989.04 53.40
1989.05 22.40
1989.06 17.24
1989.07 6.36
1989.08 5.61
1989.09 11.50
1989.10 20.39
1989.11 56.04
1989.12 93.20
1990.01 109.16
1990.02 105.85
1990,03 76.96
1990.04 40.79
1990.05 27.36
1990,06 19,451990.07 5,731990.08 6.45
1990.09 7.39
1990.10 19.11
1990.11 60.29
1990.12 98.65
1991.01 164.00
1991.02 102.17
1991.03 68.22
1991.04 57.72
1991,05 43.44
1991.06 20.441991.07 6.25
1991,08 6,371991.09 8,03
1991.10 14.79
1991.11 70.15
1991.12 102,19
PRICE
62.058
62.058
62.058
62.058
62.058
50.109
48,669
50.091
50.091
62.934
61.635
61.635
60.436
60.436
60.436
61.757
61.757
50.501
50.501
50.501
50.501
61.757
61.757
61.757
61.757
61.757
61.757
56.449
56.449
45.193
45.193
45.193
45.193
56.449
56.449
56.449
54.663
54.663
54.663
54.663
54.663
43.407
43.407
43.407
43.407
54.663
54.663
54.663
58.52
58.52
58.52
58.52
58.52
47.264
47.264
47.264
47.264
58.52
58.52
58.52
57,761
57.761
57.761
57.761
57.761
46.505
OctMarP SummerP WinterP TREND81 TREND92 TRENDOO WTREND81 WTREND92 WTRENDOOo 62.058 0 67 0o 62.058 0 68 0o 62.058 0 69 062.058 62.058 0 70 3462.058 62.058 0 71 3550.109 0 50.109 72 3648.669 0 48.669 73 3750.091 0 50.091 74 3850.091 0 50.091 75 39o 62.934 0 76 0o 61.635 0 77 0o 61.635 0 78 0o 60.436 0 79 0o 60.436 0 80 0o 60.436 0 81 061.757 61.757 0 82 4061.757 61.757 0 83 4150.501 0 50.501 84 4250.501 0 50.501 85 4350.501 0 50,501 86 4450.501 0 50.501 87 45o 61.757 0 88 0o 61.757 0 89 0o 61.757 0 90 0o 61.757 0 91 0o 61.757 0 92 0o 61.757 0 93 056.449 56.449 0 94 4656.449 56.449 0 95 4745.193 0 45.193 96 4845.193 0 45.193 97 4945.193 0 45.193 98 5045.193 0 45,193 99 51o 56,449 0 100 0o 56.449 0 101 0o 56.449 0 102 0o 54.663 0 103 0o 54.663 0 104 0o 54.663 0 105 054.663 54.663 0 106 5254.663 54.663 0 107 5343.407 0 43.407 108 5443.407 0 43.407 109 5543.407 0 43.407 110 5643.407 0 43.407 111 57o 54.663 0 112 0o 54.663 0 113 0o 54.663 0 114 0o 58,52 0 115 0o 58.52 0 116 0o 58.52 0 117 058.52 58.52 0 118 5858.52 58.52 0 119 5947.264 0 47.264 120 6047.264 0 47.264 121 6147.264 0 47.264 122 6247.264 0 47,264 123 63o 58.52 0 124 0o 58.52 0 125 0o 58.52 0 126 0o 57.761 0 127 0o 57.761 0 128 0o 57.761 0 129 057.761 57.761 0 130 6457.761 57.761 0 131 6546.505 0 46.505 132 66
RS-1 Non Peak
Dale THERMS PRICE OclMarP SummerP WinlerP TREND81 TREND92 TRENDOO WTREND81 WTREND92 WTRENDOO
1992.01 123.01 46.505 46.505 0 46.505 133 1 67 11992.02 86.18 46.505 46,505 0 46.505 134 2 68 21992.03 55.19 46.505 46.505 0 46.505 135 3 69 31992.04 39.80 57.761 0 57.761 0 136 4 0 01992.05 20.68 57.761 0 57.761 0 137 5 0 01992.06 8.58 57.761 0 57.761 0 138 6 0 0
1992.07 7.53 57.529 0 57.529 0 139 7 0 01992.08 5.59 57.529 0 57.529 0 140 8 0 01992.09 10.27 57.529 0 57.529 0 141 9 0 01992.10 19.62 57.529 57.529 57.529 0 142 10 70 41992.11 58,10 57.529 57.529 57.529 0 143 11 71 5
1992.12 117.67 46.273 46.273 0 46.273 144 12 72 61993.01 138.74 46.273 46.273 0 46.273 145 13 73 71993.02 117.47 46.273 46.273 0 46.273 146 14 74 81993.03 99.63 46.273 46.273 0 46.273 147 15 75 91993.04 55.50 57.529 0 57.529 0 148 16 0 01993.05 33.91 57.529 0 57.529 0 149 17 0 01993.06 12.86 57.529 0 57.529 0 150 18 0 01993.07 9.53 64.683 0 64.683 0 151 19 0 0
1993.08 7.73 64.683 0 64.683 0 152 20 0 01993.09 10.45 64.683 0 64.683 0 153 21 0 01993.10 20.85 64.683 64.683 64.683 0 154 22 76 10
1993.11 62.46 64.683 64.683 64.683 0 155 23 77 111993.12 112.22 53.427 53.427 0 53.427 156 24 78 12
1994.01 107.32 53.427 53.427 0 53.427 157 25 79 131994.02 105.44 53.427 53.427 0 53.427 158 26 80 14
1994.03 72.97 53.427 53.427 0 53.427 159 27 81 151994.04 49.76 64.683 0 64.683 0 160 28 0 01994.05 23.88 64.683 0 64.683 0 161 29 0 0
1994.06 11.98 64.683 0 64.683 0 162 30 0 01994.07 7.00 63.212 0 63.212 0 163 31 0 0
1994.08 5.25 63.212 0 63.212 0 164 32 0 01994.09 6.85 63.212 0 63.212 0 165 33 0 01994.10 20.77 63.212 63.212 63.212 0 166 34 82 16
1994.11 65.56 63.212 63.212 63.212 0 167 35 83 171994.12 112.04 51,956 51.956 0 51,956 168 36 84 18
1995.01 118.74 51.956 51.956 0 51.956 169 37 85 191995.02 85.78 51.956 51.956 0 51.956 170 38 86 201995.03 69.73 51.56 51.956 0 51.956 171 39 87 21
1995.04 59.27 63.212 0 63.212 0 172 40 0 01995.05 37.00 63.212 0 63.212 0 173 41 0 0
1995.06 18.53 63.212 0 63.212 0 174 42 0 01995.07 9.31 61.811 0 61.811 0 175 43 0 01995.08 5.69 61.811 0 61.811 0 176 44 0 01995.09 7.17 61.811 0 61.811 0 177 45 0 01995.10 23.90 61.811 61.811 61.811 0 178 46 88 22
1995.11 59.64 61.811 61.811 61.811 0 179 47 89 231995.12 76.15 50.555 50.555 0 50.555 180 48 90 241996.01 108.33 50.555 50.555 0 50.555 181 49 91 251996,02 114.71 50.555 50.555 0 50.555 182 50 92 261996.03 78.30 50.555 50.555 0 50.555 183 51 93 27
1996.04 53.24 61.811 0 61.811 0 184 52 0 01996.05 36.72 61,811 0 61.811 0 185 53 0 01996.06 16.57 61.811 0 61.811 0 186 54 0 01996.07 6.60 61.796 0 61,796 0 187 55 0 01996.08 5.90 61.796 0 61.796 0 188 56 0 0
1996.09 9.13 61.796 0 61.796 0 189 57 0 01996.10 21.95 61.796 61.796 61.796 0 190 58 94 28
1996.11 66.38 61.796 61.796 61.796 0 191 59 95 291996.12 91.89 50.54 50.54 0 50,54 192 60 96 301997.01 105.56 50.54 50.54 0 50.54 193 61 97 311997.02 106.60 50.54 50.54 0 50.54 194 62 98 321997.03 7770 50.54 50.54 0 50.54 195 63 99 331997.04 55.32 61.796 0 61.796 0 196 64 0 01997.05 31.97 61.796 0 61,796 0 197 65 0 01997.06 10.22 61.796 0 61.796 0 198 66 0 0
RS-1 Non Peak
Dale THERMS PRICE OclMarP SummerP . WinlerP TREND81 TREND92 TRENDOO WTREND81 WTREND92 WTRENDOO
1997.07 7.23 60.423 0 60.423 0 199 67 0 0
1997.08 5.83 60.423 0 60.423 0 200 68 0 0
1997.09 6.51 60.423 0 60.423 0 201 69 0 0
1997.10 20.70 60.423 60.423 60.423 0 202 70 100 34
1997.11 56.19 60.423 60.423 60.423 0 203 71 101 35
1997.12 95.63 49.167 49.167 0 49.167 204 72 102 36
1998.01 120.91 49.167 49.167 0 49.167 205 73 103 37
1998.02 85.53 49,167 49.167 0 49.167 206 74 104 381998.3 78.34 49.167 49.167 0 49.167 207 75 105 39
1998.04 58.95 60.423 0 60.423 0 208 76 0 0
1998.05 29.91 60.423 0 60.423 0 209 77 0 0
1998.06 20,66 60.423 0 60.423 0 210 78 0 0
1998.07 8.68 59.954 0 59.954 0 211 79 0 0
1998.08 5.26 59.954 0 59.954 0 212 80 0 0
1998.09 5.77 59.954 0 59,954 0 213 81 0 0
1998.10 20.46 59.954 59.954 59.954 0 214 82 106 40
1998.11 56.72 59.954 59.954 59.954 0 215 83 107 41
1998.12 93.09 48.698 48.698 0 48.698 216 84 108 42
1999.01 118.61 48.698 48.698 0 48.698 217 85 109 43
1999.02 99.59 48.698 48.698 0 48.698 218 86 110 44
1999.03 81.74 48.698 48.698 0 48.698 219 87 111 45
1999.04 66.59 59.954 0 59.954 0 220 88 0 0
1999.05 42.99 59,954 0 59,954 0 221 89 0 0
1999.06 16.26 59.954 0 59.954 0 222 90 0 0
1999.07 7.54 59.954 0 59.954 0 223 91 0 0
1999.08 5.29 63.336 0 63.336 0 224 92 0 0
1999.09 8.07 63.336 0 63.336 0 225 93 0 0
1999.10 21.90 63.336 63.336 63.336 0 226 94 112 46 1
1999.11 47.40 63.336 63.336 63.336 0 227 95 113 47 2
1999.12 85.60 52.08 52.08 0 52.08 228 96 114 48 3
2000.01 117.87 52.08 52.08 0 52.08 229 97 1 115 49 4
2000.02 91.14 52.08 52,08 0 52.08 230 98 2 116 50 5
2000.03 75.30 52.08 52.08 0 52.08 231 99 3 117 51 6
2000.04 52.68 63.336 0 63.336 0 232 100 4 0 0 0
2000.05 23.24 63.336 0 63.336 0 233 101 5 0 0 0
2000.06 12.39 63.336 0 63,336 0 234 102 6 0 0 0
2000.07 6.42 81.147 0 81.147 0 235 103 7 0 0 0
2000.08 4.85 81.147 0 81.147 0 236 104 8 0 0 0
2000.09 8.65 81.147 0 81.147 0 237 105 9 0 0 0
2000.10 22.55 81.147 81.147 81.147 0 238 106 10 118 52 7
2000.11 69.52 81.147 81.147 81.147 0 239 107 11 119 53 8
2000.12 108,05 69.891 69.891 0 69.891 240 108 12 120 54 9
2001.01 117.50 69.891 69.891 0 69.891 241 109 13 121 55 10
2001.02 118.51 83.514 83.514 0 83.514 242 110 14 122 56 11
2001.03 75.41 83.514 83.514 0 83.514 243 111 15 123 57 12
2001.04 53.41 94.77 0 94.77 0 244 112 16 0 0 0
2001.05 26.56 94.77 0 94.77 0 245 113 17 0 0 0
2001.06 10.65 94.77 0 94.77 0 246 114 18 0 0 0
2001.07 5.97 94.975 0 94.975 0 247 115 19 0 0 0
2001.08 4.58 94.975 0 94.975 0 248 116 20 0 0 02001.09 6.32 94.975 0 94.975 0 249 117 21 0 0 0
2001.10 16.95 94.975 94.975 94.975 0 250 118 22 124 58 13
2001.11 46.38 94.975 94.975 94.975 0 251 119 23 125 59 14
2001.12 90.77 83,719 83.719 0 83.719 252 120 24 126 60 15
2002.01 111.68 83.719 83.719 0 83.719 253 121 25 127 61 16
2002.02 114.09 83.719 83.719 0 83.719 254 122 26 128 62 17
2002.03 88.69 83.719 83.719 0 83.719 255 123 27 129 63 18
2002.04 50.20 94.975 0 94.975 0 256 124 28 0 0 0
2002.05 33.37 94.975 0 94.975 0 257 125 29 0 0 02002.06 13.26 94.975 0 94.975 0 258 126 30 0 0 0
2002.07 5.34 70.862 0 70.862 0 259 127 31 0 0 0
2002.08 4.71 70.862 0 70.862 0 260 128 32 0 0 0
2002.09 6.64 70.862 0 70.862 0 261 129 33 0 0 0
2002.10 23.20 70.862 70.862 70.862 0 262 130 34 130 64 19
2002.11 66.31 70.862 70.862 70.862 0 263 131 35 131 65 20
2002.12 85.19 59.606 59.606 0 59.606 264 132 36 132 66 21
RS-1 Non Peak
Date THERMS PRICE
2003.01 90.78 59.606
2003.02 85.4564 59.606
2003.03 70.50079 59.606
2003.04 49.73716 70.862
2003.05 37.9 70.862
2003.06 10.49 70.862
2003.07 5.186356 91.883
2003.08 4.297742 91.883
2003.09 7.406149 91,883
2003.10 13.78993 91,883
2003.11 55.95936 91,883
2003.12 86.68405 80.627
2004.01 118.7436 80.627
2004.02 104.5956 80.627
2004.03 68.9446 80.627
2004.04 35.41607 91.883
2004.05 22.11896 91.883
2004.06 13.00792 91.883
2004.07 5.762525 99.929
2004.08 9.573659 99.929
2004.09 11.8542 99.929
2004.10 19.42681 99.929
2004.11 58.62265 99.929
2004.12 93.98262 88,673
2005,01 108.115 88.673
2005,02 94.45925 88.673
2005.03 64.29237 88.673
2005.04 56.39585 99.929
2005.05 27.00987 99.929
2005.06 15.29018 99.929
2005.07 10.11604 99.929
2005.08 8,427757 99.929
2005.09 11.62309 99.929
2005.10 22.98302 125.501
2005.11 53.55903 125.501
2005.12 107.5684 114.245
2006.01 101.4385 114.245
2006.02 96.58654 114.245
2006.03 78.17893 114.245
2006.04 55,68571 125.501
2006.05 20.608 125.501
2006.06 11,25112 125.501
2006.07 9.395546 125.501
2006.08 8.751275 125.501
2006.09 12.0868 125.501
2006.10 22.15351 121.543
2006.11 57.06087 121.543
2006.12 90.13612 110.287
2007.01 110.0594 110.287
2007.02 100.3183 110.287
2007.03 110.287
2007.04 121,543
2007.05 121.543
2007.06 121.543
2007.07 121.543
2007.08 121.543
2007.09 121.543
2007.10 121,543
2007.11 121.543
2007.12 110.287
2008.01 110.287
2008.02 110.287
2008.03 110.287
2008,04 121.543
2008.05 121.543
2008.06 121.543
OctMarP SummerP WinterP TREND81 TREND92 TRENDOO WTREND81 WTREND92 WTRENDOO59.606 0 59.606 265 133 37 133 67 2259.606 0 59.606 266 134 38 134 68 2359.606 0 59.606 267 135 39 135 69 24o 70.862 0 268 136 40 0 0 0o 70.862 0 269 137 41 0 0 0o 70.862 0 270 138 42 0 0 0o 91.883 0 271 139 43 0 0 0o 91.883 0 272 140 44 0 0 0o 91.883 0 273 141 45 0 0 091.883 91.883 0 274 142 46 136 70 2591.883 91,883 0 275 143 47 137 71 2680.627 0 80.627 276 144 48 138 72 2780.627 0 80.627 277 145 49 139 73 2880.627 0 80.627 278 146 50 140 74 2980.627 0 80.627 279 147 51 141 75 30o 91.883 0 280 148 52 0 0 0o 91.883 0 281 149 53 0 0 0o 91.883 0 282 150 54 0 0 0o 99.929 0 283 151 55 0 0 0o 99.929 0 284 152 56 0 0 0o 99.929 0 285 153 57 0 0 099.929 99.929 0 286 154 58 142 76 3199.929 99.929 0 287 155 59 143 77 3288.673 0 88.673 288 156 60 144 78 3388.673 0 88,673 289 157 61 145 79 3488.673 0 88.673 290 158 62 146 80 3588.673 0 88.673 291 159 63 147 81 36o 99.929 0 292 160 64 0 0 0o 99.929 0 293 161 65 0 0 0o 99.929 0 294 162 66 0 0 0o 99.929 0 295 163 67 0 0 0o 99.929 0 296 164 68 0 0 0o 99.929 0 297 165 69 0 0 0125.501 125.501 0 298 166 70 148 82 37125.501 125.501 0 299 167 71 149 83 38114,245 0 114.245 300 168 72 150 84 39114,245 0 114.245 301 169 73 151 85 40114.245 0 114.245 302 170 74 152 86 41114.245 0 114,245 303 171 75 153 87 42o 125.501 0 304 172 76 0 0 0o 125.501 0 305 173 77 0 0 0o 125.501 0 306 174 78 0 0 0o 125.501 0 307 175 79 0 0 0o 125.501 0 308 176 80 0 0 0o 125.501 0 309 177 81 0 0 0121.543 121.543 0 310 178 82 154 88 43121.543 121.543 0 311 179 83 155 89 44110.287 0 110.287 312 180 84 156 90 45110.287 0 110.287 313 181 85 157 91 46110.287 0 110.287 314 182 86 158 92 47110.287 0 110.287 315 183 87 159 93 48o 121.543 0 316 184 88 0 0 0o 121.543 0 317 185 89 0 0 0o 121.543 0 318 186 90 0 0 0o 121.543 0 319 187 91 0 0 0o 121.543 0 320 188 92 0 0 0o 121.543 0 321 189 93 0 0 0121.543 121.543 0 322 190 94 160 94 49121.543 121.543 0 323 191 95 161 95 50110.287 0 110.287 324 192 96 162 96 51110.287 0 110.287 325 193 97 163 97 52110.287 0 110.287 326 194 98 164 98 53110.287 0 110.287 327 195 99 165 99 54o 121.543 0 328 196 100 0 0 0o 121.543 0 329 197 101 0 0 0o 121.543 0 330 198 102 0 0 0
RS-1 Non Peak
Date THERMS
2008.07
2008.8
2008.9
2008.10
2008.11
2008.12
PRICE OctMarP SummerP WinterP
121.543 0 121.543
121.543 0 121.543
121.543 0 121.543
121.543 121.543 121,543
121.543 121.543 121.543110.287 110,287 0
TREND81 TREND92 TRENDOO WTREND81 WTREND92 WTRENDOOo 331 199 103 0 0 0o 332 200 104 0 0 0o 333 201 105 0 0 0o 334 202 106 166 100 55o 335 203 107 167 101 56110.287 336 204 108 168 102 57
RS-1 Non Peak
CPI GOP HOUSING INCOME MORTGAGE PRIME HDD45 HDD65 NDD45 NDD65
87.20 57.90 6.09 9.26 14.9 20.16 418.7976 1070.579
88.00 58.20 5.73 9.29 15.13 19.43 380.7071 981.2447
88.60 58.58 5.37 9.32 15.4 18.05 158.1719 718.9295
89.10 58.90 4.79 9.32 15.58 17.15 82.65907 604.9561
89.70 59.30 4.21 9.32 16.4 19.61 14.89538 391.1834
90.50 59.66 3.62 9.33 16.7 20.3 1.967846 202.1928
91.50 60.00 3.53 9.40 16.83 20.39 0.085377 66.90929
92.20 60.30 3.44 9.48 17.29 20.5 0 5.008836
93.10 60.70 3.35 9.56 18.16 20.08 0.058485 40.85829
93.40 61.00 2.91 9.51 18.45 18.45 18.70909 364.8012
93.80 61.0 2.47 9.46 17.83 16.84 51.70221 570.0009
94.10 61.56 2.03 9.42 16.92 15.75 244.8271 851.8598
94.40 61.80 2.03 9.43 17.4 15.75 651.2766 1306.891
94.70 62.10 2.04 9.45 17.6 16.56 574.9189 1145.796
94.70 62.33 2.05 9.46 17.16 16.5 251.9235 813.7116
95.00 62.60 2.10 9.50 16.89 16.5 172.1266 752.1147
95.90 62.90 2.15 9.54 16.8 16.5 49.48885 469.394
97.00 63.19 2.20 9.58 16.7 16.5 2.064259 245.1526
97.50 63.40 2.28 9.60 16.82 16.26 0 52.41238
97.70 63.60 2.36 9.62 16.27 14.39 0 7.59433
97.70 63.87 2.45 9.64 15.43 13.5 0.718407 79,35374
98.10 64.00 2.81 9.69 14.61 12.52 19.20482 367.4845
98.00 64.20 3.17 9.74 13.83 11.85 158.3532 678.0409
97.70 64.41 3.52 9.80 13.62 11.5 380.9031 992.1421
97.90 64.60 3.64 9.95 13.25 11.6 555.138 1193.832
98.00 64.80 3.76 10.10 13.04 10.98 307.2779 898,1908
98.10 64.88 3.88 10.24 12.8 10.5 111.3124 646.964
98.80 65.10 4.27 10.25 12.78 10.5 140.0978 722.3657
99.20 65.30 4.66 10.26 12.63 10.5 37.94253 489.555
99.40 65.54 5.06 10.28 12.87 10.5 6.970269 183.6728
99.80 65.70 4.76 10.26 13.42 10.5 0.037631 98.0569
100.10 65.90 4,46 10.24 13.81 10.89 0 16.19458
100.40 66.2 4.16 10.22 13.73 11 1.380507 70.37507
100.80 66.30 4.35 10.32 13.54 11 5.616477 304.0749
101.10 66.60 4.53 10.2 13.44 11 66.83768 522,5761
101.40 66.84 4.71 10.51 13.42 11 437.0878 1036.243
102.10 67.00 4.92 10.56 13.37 11 841.3977 1510.355
102.60 67.20 5.12 10.61 13.23 11 642.7287 1211.694
102.90 67.44 5.32 10.67 13.39 11.21 350.5985 925.7069
103.30 67.60 5.06 10.77 13.65 11.93 114.6736 685.785
103.50 67.80 4.80 10.87 13.94 12.39 52.26441 499.8989
103.70 67.99 4.54 10.96 14.42 12.6 4.538969 278.0759
104.10 68.10 4.40 11.04 14.67 13 0.200414 56.51454
104.40 68.20 4.26 11.2 14.47 13 0 3.683953
104.70 68.39 4.12 11.21 14.35 12.97 1.708919 80.15838
105.10 68.70 4.15 11.27 14.13 12.58 37.02143 338.8555
105.30 69.00 4.18 11.32 13.64 11.77 199.4614 815.8165
105.50 69.18 4.21 11.37 13.18 11.06 524.7621 1129.665
105.70 69.30 3.98 11.44 1308 10.61 751.7474 1361.734
106.30 69.40 3.75 11.51 12.92 10.5 857.9014 1473.849
106.80 69.54 3.53 11.57 13.17 10.5 425.4799 985.1032
107.00 69.70 3.84 11.59 13.2 10.5 163.1656 641.0056
107.20 69.80 4.15 11.61 12.91 10.31 37.6884 370.967
107.50 69.88 4.46 11.62 12.22 9.78 2.05686 166.1445
107.70 70.00 4.63 11.62 12.03 9.5 0.040235 24.12728
107.90 70.10 4.80 11.62 12.19 9.5 0 27.11645
108.10 70.30 4.98 11.63 12.19 9.5 0.928213 144.2647
108.50 70.40 4.78 11.68 12.14 9.5 44.32833 444.285
109.00 70.50 4.58 11.73 11.78 9.5 194.8428 729.8124
109.50 70.66 4.38 11.78 11.26 9.5 798.5384 1418.803
109.90 70.80 4.40 11.80 10.88 9.5 935.9864 1575.091
109.70 70.90 4.42 11.82 10.71 9.5 380.3914 961.0152
109.10 7100 4.44 11.85 10.8 9.1 100.122 624.5659
108.70 71.20 4.37 11.86 9.94 8.83 43.69103 510.4428
109.00 71.40 4.30 11.88 10.14 8.5 28.29432 473.8412
109.40 71.46 4.24 11.90 10.68 8.5 4.175177 139.3709
RS-1 Non Peak
CPI GOP HOUSING INCOME MORTGAGE PRIME HDD45 HDD65 NDD45 NDD65
109.50 71.60 4.23 11.95 10.51 8.16 0 39.194
109.60 71.80 4.21 12.00 10.2 7.9 0 16.80005
110.00 71.96 4.19 12.04 10.01 7.5 0.788526 95.13283
110.20 72.10 4.06 12.05 9.97 7.5 12.59211 413.9447
110.40 72.30 3.92 1206 9.7 7.5 92.78853 574.5056
110.80 72.51 3.78 12.07 9.31 7.5 351.322 968.7429111.40 72.60 3.83 12.14 9.2 7.5 667.806 1332.421
111.80 72.70 3.88 12.21 9.08 7.5 383.5855 973.705
112.20 72.90 3.92 12.29 9.04 7.5 183.624 725.6734
112.70 73.10 3.73 12.35 9.83 7.75 96.28317 566.6594
113.00 73.30 3.54 12.41 10.6 8.14 9.141094 206.712
113.50 73.45 3.36 12.47 10.54 8.25 0.086387 144.4318
113.80 73.60 3.22 12.54 10.28 8.25 0 40,32742
114.30 73.80 3.08 12.61 10,33 8.25 0 31.55791
114.70 73.95 2.93 12.67 10.89 8.7 0 54.82713
115.00 74.20 3.10 12.76 11.26 9.07 2.952208 220.572
115.40 74.40 3.27 12.85 10.65 8.78 59.43731 544.4256
115.60 74.56 3.43 12,93 10.65 8.75 302.1961 879.7676
116.00 74.80 3.32 12.96 1D.3 8.75 673.4502 1334.107
116.20 75.00 3.20 12.99 9.89 8.51 473.8145 1033.53
116.50 75.30 3.09 13.01 9.93 8.5 172,272 734.8675
117.20 75.60 3.11 13.13 10.2 8.5 113.8846 621.9625
117.50 75.90 3.14 13.25 10.46 8.84 20.53476 372.9529
118.00 76.18 3.17 13.37 10.46 9 3.046178 159.9937
118.50 76.40 3.28 13.49 1D.3 9.29 0.01118 28.05012
119.00 76.60 3.39 13.61 10.6 9.84 0 7.717242
119.50 76.79 3.49 13.73 10.48 10 0,563432 86.93264
119.90 7710 3.52 13.80 10,3 10 0.753386 193.2363
120.30 77.40 3.56 13.87 10.27 10.05 70.59001 480.2127
120.70 7759 3.59 13.93 10.61 10.5 419.5541 1028.032
121.20 77.80 3.51 14.12 10.73 10.5 693.5583 1335.64
121.60 78.10 3.42 14.31 10.65 10.93 796.5356 1383.486
122,20 78.34 3.33 14.51 11.03 11.5 343.8454 909.2158
123.10 78.50 3.71 14.57 11.05 11.5 72.6384 561.901
123.70 78.70 4.09 14.63 10.77 11.5 7.403501 298.9011
124.10 78.91 4.48 14.68 10.2 11.07 2.849223 221.7348
124.50 79.10 4.75 14.71 9.88 10.98 0.094909 37.65123
124.50 79.30 5.02 14.74 9.99 10.5 0.015907 9.96984
124.80 79.3 5.28 14.77 10.13 10.5 0.149442 119.338
125.40 79.80 5.39 14.89 9.95 10.5 6.456292 255.1226
125.90 80.10 5.50 15.00 9.77 10.5 126.6988 632.7524
126.30 80.39 5.61 15.11 9.74 10.5 365.0116 973.7037
127.50 80.70 5.74 15.30 9.9 10.11 474.9671 1084.014
128.00 81.00 5.88 15.49 10.2 10 413.6942 1027.147
128.60 81.33 6.02 15.68 10.27 10 226.4343 770.6363
128.90 81.60 5.94 15.72 10.37 10 48.56635 479.0229
129.10 81.80 5.86 15.76 10.48 10 17.02636 370.1091129.90 82.05 5.79 15.81 10.16 10 4,108123 252.0536
130.50 82.30 5.81 15.85 10,04 10 0.217364 37.36972
131.60 82.50 5.83 15.89 10.1 10 0 9.761263
132.50 82.69 5.85 15.93 10.18 10 0 34.9027
133.40 83.00 5.79 15.94 10.18 10 18.9599 235.1111
133.70 83.30 5.73 15.95 10.01 10 117.6611 663.5811
134.20 83.66 5.67 15.97 9.67 10 410.6106 1008.099
134.70 83.80 5.62 15.98 9.64 9.52 964.1917 1602.537
134.80 84.00 5.56 15.99 9.37 9.05 388.7585 972.1862
134.80 84.19 5.50 16.00 9,5 9 139.6663 673.1511
135.10 84.40 5.80 16.3 9.49 9 97.69995 611.1998
135.60 84.60 6.09 16.07 9.47 8.5 38.22824 494.6005
136.00 84.77 6.39 16.11 9.62 8.5 3.810921 244.7354
136.20 84.90 6.48 16.12 9.58 8.5 0.166483 56.83611
136.60 85.00 6.58 16.14 9.24 8.5 0 3.629862
137.00 85.20 6.68 16.15 9.01 8.2 0.2622 50.48275
137.20 85.40 7.06 16.23 8.86 8 4.019353 181.288
137.80 85.60 7.44 16.31 8.71 7.58 219.5078 781.606
138.20 85.77 7.83 16.39 8.5 7.21 395.597 1020.575
RS-1 Non Peak
CPI GOP HOUSING INCOME MORTGAGE PRIME HDD45 HDD65 NDD45 NDD65
138.30 85.90 8.38 16.55 8.43 6.5 534.6229 1192.894
138.60 86.00 8.93 16.72 8.76 6.5 268.2087 824.9098
139.10 86.21 9.49 16.88 8.94 6.5 67.4602 573.7243
139.40 86.30 9.40 16.95 8.85 6.5 28.77086 481.2515
139.70 86.40 9.32 17.02 8.67 6.5 9.244604 245.7468
140.10 86.59 9.23 17.09 8.51 6.5 0.143788 87.1821
140.50 86.70 9.18 17.13 8.13 6.02 0.068584 57.52296
140.80 86.90 9.12 17.17 7.98 6 0.100728 17.40334
141.0 87.04 9.07 17.21 7.92 6 0.802 125.2535
141.70 87.30 9.56 17.27 8.09 6 6.138014 246.4351
142.10 87.50 10.05 17.33 8.31 6 132.3573 642.9795
142.30 87.73 10.55 17.40 8.22 6 566.1569 1186.152
142.80 87.90 10.62 17.55 8.02 6 695.0045 1356.9
143.10 88.10 10.69 17.70 7.68 6 576.3141 1164.032
143.30 88.20 10.75 17.85 7.5 6 427.1067 1002.01
143.80 88.30 10.67 17.93 7.47 6 60.11806 576.1195
144.20 88.40 10.59 18.01 7.47 6 18.28827 379.273
144.30 88.60 10.51 18.09 7.42 6 1.528095 154.8222
144.50 88.70 10.87 18.09 7.21 6 0,350907 137.3405
144.80 88.80 11.23 18.09 7.11 6 0 53.64074
145.00 89.03 11.59 18.08 6.92 6 0.363978 119.6533
145.60 89.20 12.05 18.22 6.83 6 4.500793 260.936
146.00 89.40 12.52 18.36 7.16 6 153.4098 679.2377
146.30 89.60 12.98 18.51 7.17 6 477.6192 1115.177
146.30 89.70 13.43 18.2 7.06 6 441.173 1050.509
146.70 89.80 13.88 18.33 7.15 6 452.7235 1039.613
147.10 89.98 14.32 18.24 7.68 6.06 189.614 731.3487
147.20 90.20 14.09 18.38 8.32 6.45 71.38186 563,6595
147.50 90.40 13.86 18.52 8.6 6.99 10,98383 288.8576
147.90 90.53 13.63 18.65 8.4 7.25 0.474696 142.2451
148.40 90.70 13.19 18.73 8.61 7.25 0,054808 47.23985
149.00 90.80 12.75 18.80 8.51 7.51 0 3.988917
149.30 90.96 12.30 18.87 8.64 7.75 0 46.88893
149.40 91.20 11.80 18.91 8.93 7.75 9.63039 255.3411
149.80 91.40 11.30 18.95 9.17 8.15 179.6997 709.3465
150.10 91.55 10.81 18.99 9.2 8.5 520.6932 1130.661
150.50 91.70 10.23 19.09 9.15 8.5 466.7838 1097.718
150.90 91.80 9.65 19.19 8.83 9 184.6703 745.445
151.20 91.89 9.07 19.29 8.46 9 158.4408 697,4183
151.80 92.00 8.93 19.29 8.32 9 101.8634 642.9628
152.10 92.10 8.79 19.29 7.96 9 24.35166 440.1562
152.40 92.28 8.65 19.29 7.57 9 3.203897 234.1024
152.60 92.40 8.98 19.31 7.61 8.8 0.548789 69.54367
152.90 92.60 9.31 19.33 7.86 8.75 0 24.48447
153.10 92.73 9.63 19.36 7.64 8.75 0.34549 52.93582
153.50 92.90 9.79 19.50 7.48 8.75 9.658243 295.7827
153.70 93.10 9.95 19.64 7.38 8.75 107.4068 649.7972
153.90 93.30 10.10 19.78 7.2 8.65 192.526 758,3694
154.70 93.40 9.96 19.68 7.03 8.5 433.5068 1042.33
155.00 93.50 9.82 19.58 7.08 8.25 545.401 1158.729
155.50 93.2 9.68 19.48 7.62 8.25 224.3273 784.8867
156.10 93.80 9.82 19.59 7.93 8.25 83.22135 575.222
156.40 93.90 9.96 19.70 8.07 8.25 19.11834 410.2422
156.70 94.06 10.10 19.80 8.32 8.25 1.480161 200.8229
157.00 94.20 9.72 19.81 8.25 8.25 0 40.05449
157.20 94.30 9.34 19.82 8 8.25 0 14.01722
157.70 94.46 8.95 19.84 8.23 8.25 1.087465 88.36535
158.20 94.60 8.68 19.84 7.92 8.25 20.92709 252.939
158.70 94.80 8.41 19.84 7.62 8.25 133.813 697.7716
159.10 94.96 8.13 19.85 7.6 8.25 297.7242 894.7418
159.40 95,10 8.17 19.93 7.82 8.25 395.6788 989.2498
159.70 95.20 8.21 20.01 7.65 8.25 408.7688 1025.169
159.80 95.29 8.26 20,10 7.9 8.3 226.58 762.943
159.90 95.40 8.27 20.16 8.14 8.5 109.1678 616.0484
159.90 95.50 8.28 20.23 7.94 8.5 31.05433 386.0977
160.20 95.54 8.28 20,30 7.69 8.5 0.447436 103.9366
RS.1 Non Peak
CPI GOP HOUSING INCOME MORTGAGE PRIME HDD45 HDD65 NDD45 NDD65160.40 95.60 8.64 20.37 7.5 8.5 0 56.47281
160.80 95.70 9.00 20.44 7.48 8.5 0 8.9174
161.20 95.86 9.36 20.51 7.43 8.5 0 34.43458161.50 95.90 9.42 20.51 7.29 8.5 9.330936 264.1354
161.70 96.00 9.47 20.52 7.21 8.5 97.36088 612.8317161.80 96.10 9.53 20.52 7.1 8.5 338.9364 955.5761
162.00 96.20 9.87 20.90 6.99 8.5 486.2585 1151.622162.00 96.30 10.21 21.28 7.04 8.5 219.1204 798.7156
162.00 96.28 10.56 21.66 7.13 8.5 237.7829 779.4626162.20 96.40 10.33 21.70 7.14 8.5 86.62968 636.5167162.60 96.50 10.10 21.74 7.14 8.5 17.81946 365.6207
162.80 96.2 9.86 21.77 7 8.5 1.015335 259.0415163.20 96.70 9.75 21.83 6,95 8.5 0 66,50663163.40 96.80 9.64 21.89 6.92 8.5 0 0,468628163.50 96.90 9.52 21.94 6.72 8.49 0 19.493163.90 97.00 9.85 22.06 6.71 8.12 4.403843 259.2628
164.10 97.10 10.18 22.18 6.87 7.89 94.20056 608.0871164.40 97.27 10.51 22.31 6.72 7.75 307.6798 927.2636164.70 97.40 10.36 22.36 6.79 7.75 476.8774 1117.596
164.70 97.50 10.21 22.41 6.81 7.75 362.0538 921.5613164.80 97.70 10.05 22.47 7.04 7.75 221.3186 765.3592165.90 97.80 10.11 22.53 6.92 7.75 120.449 697.1209166.00 97.90 10.16 22.59 7.15 7.5 36.12474 504.0649166.00 98.02 10.21 22.65 7.55 7.75 4.974931 195.9546166.70 98.20 10.35 22.74 7.63 8 0 49.37589167.10 98.40 10.49 22.83 7.94 8.06 0 5.456804
167.80 98.48 10.63 22.92 7.82 8.25 0.500302 84.30199168.10 98.70 10.57 23.03 7.85 8.25 12.24347 264.3885168.40 99.00 10.51 23.14 7.74 8.37 46,11282 499.5755
168.80 99.29 10.45 23.25 7.91 8.5 278.6683 858.1408169.30 99.50 10.78 23.41 8.21 8.5 499.602 1139.531
170.00 99.70 11.11 23.57 8.33 8.73 288,3827 870.416917.00 99.78 11.44 23.74 8.24 8.83 165.5286 740.9273
170.90 99.90 11.42 23.85 8.15 9 82.82214 599.560117.20 100.10 11.41 23.96 8.52 9.24 3.608452 302.69217.20 100.24 11.39 24.06 8.29 9.5 1.657625 144.636917270100.40 11.53 24.11 8.15 9.5 0 27.9125172.70 100.50 11.67 24.15 8.03 9.5 0 1.16437617.60 100.69 11.81 24.20 7.91 9.5 1,195799 93.4089217.90 101.00 11.70 24.27 7.8 9.5 8,388067 279.096
174.20 101.30 11.60 24.34 7.75 9.5 213.8281 767.6455174.60 101.51 11.50 24.42 7.38 9.5 488.2238 1098.649175.60 101.80 11.99 24.42 7.03 9.05 567.3875 1179.407176.00 102.10 12.48 24.42 7.05 8.5 621.561 1237.658176.10 102.29 12.97 24.42 6.95 8.32 264.8969 808.3045176.40 102.40 12.99 24.46 7.08 7.8 96.21431 638.552517.30 102.50 13.02 24.50 7.15 7.24 26.35273 356.050717.70 102.69 13.05 24.55 7.16 6.98 1.143791 150.657317.40 102.80 12.60 24.56 7.13 6.75 0.44691 28.5092617.40 102.90 12.15 24.57 6.95 6.67 0 7.040488178.10 103.12 11.0 24.58 6.82 6.28 0 42.5153217.60 103.30 11.55 24.55 6.62 5.53 9.585405 232.848517.50 103.40 11.40 24.52 6.66 5.1 63.18516 552,934417.40 103.55 11.25 24.48 7.07 4,84 372.175 98.537517.70 103.70 11.30 24.71 7 4.75 557.5207 1167.515178.00 103.80 11.35 24.94 6.89 4.75 583.7139 1200.631
178.50 103.94 11.39 25.17 7.01 4.75 389.3941 943.4799179.30 104.10 11.70 25.32 6.99 4.75 96.4755 593.5742179.50 104.20 12.01 25.47 6.81 4.75 28.0011 449.8987179.60 104.35 12.32 25.63 6.65 4.75 3.205589 179.134180.00 104.50 12.56 25.52 6.49 4.75 0.176495 24,09180.50 104.70 12.80 25.42 6.29 4.75 0 10.2707180.80 104.93 13.04 25.32 6.09 4.75 0.019905 61.5251181.20 105.20 13.98 25.25 6.11 4.75 15.2695 341.5457181.50 105.50 14.93 25.19 6.07 4.35 211.5074 785.9096181.80 105.72 15.87 25.12 6.05 4.25 305.937 916.4687
RS-l Non Peak
CPI GOP HOUSING INCOME MORTGAGE PRIME HDD45 HDD65 NDD45 NDD65
182.30 105.80 15.88 25.16 5.92 4.25 332.6663 935.5831
183,30 105.90 15.89 25.20 5.84 4.25 291.1874 896.7928
184.00 106.08 15.90 25.24 5.75 4.25 217.4539 740.6747
183.30 106.30 15.66 25.24 5.81 4.25 88,40912 579.4346
183.20 106.50 15.43 25.24 5.48 4.25 22.4389 480.822
183.40 106.62 15.20 25.25 5.23 4.22 2.840869 116.3867
183.80 106.80 15.61 25.31 5.63 4 0 33.39399
184.50 107.00 16.2 25.37 6.26 4 0 0.157958
185.00 107.20 16.44 25.42 6.15 4 0,118709 67.40426
184.90 107.50 16.85 25.49 5.95 4 2.389138 177.8933
184.70 107.80 17.26 25.56 5.93 4 183.0104 658.5467
185.20 108.19 17.67 25.62 5.88 4 298.9043 912.9302
185.90 108.50 17.23 25.98 5.74 4 582.974 1240.639
186.50 108.80 16.80 26.34 5.64 4 509.4115 1096.342
187.20 109.17 16.37 26.71 5.45 4 223.5856 746.0749
187.50 109.40 16.87 26.90 5.83 4 29.3571 487.1524
188.60 109.60 17.37 27.09 6.27 4 6.791855 320.8802
189.30 109.74 17.88 27.28 6.29 4.01 0.950981 195,72
189.30 110.00 18.27 27.35 6.06 4.25 0 33.9032
189.40 110.30 18.66 27.43 5.87 4.43 0 8.890466
189.70 110.61 19.06 27.51 5.75 4.58 0.10607 117.2525
190.80 110.90 19.58 27.68 5.72 4.75 7.724226 248.6338
191.30 111.20 20.11 27.86 5.73 4.93 128.9865 6777246
191.30 111.56 20.64 28.04 5.75 5.15 367.9151 978.61191.111.8 21.43 28.07 5.71 5.25 469.5688 1103.67
192.1 112 22.22 28.1 5.63 5.49 412.8271 1001.986
193 112.229 23.009 28.123 5.93 5.58 204.8833 736.8348
193.9 112.5 22.91 28.15 5.86 5.75 92.99498 655.1058
194 112.8 22.81 28.18 5.72 5.98 13.09575 370.4047
194 113.139 22.698 28.20 5.58 6.01 1.012166 222.9116
195.1 113.23.38 28.31 5.7 6.25 0.464735 54.33007
196.2 113.7 24.06 28.2 5.82 6.44 0 4,135904
198.6 114.048 24.747 28.526 5.77 6.59 0.148246 99,0519
199.2 114.4 23.9 28.62 6.07 6.75 7.36987 327,6781
197.9 114.7 23.05 28.72 6.33 7 115.3809 633.1057
197.8 114.967 22.198 28.815 6.27 7.15 537.9324 1142.462
199 115.3 22.49 29.04 6.15 7.26 396,1311 1034,892
199.1 115.6 22.78 29.27 6.25 7.5 410.8201 997.4162
199.6 115.905 23.062 29.504 6.32 7.53 298.701 848.966920.8 116.1 22.52 29.61 6.51 7.75 101.6795 651.4094
201.9 116.3 21.98 29.72 6.6 7.93 13.25511 320.5212
202.4 116.446 21.27 29.82 6.68 8.02 2.102615 134.5319
203.2 116.6 20.47 29.97 6.76 8.25 0 20.12348
203.8 116.8 19.52 30.12 6.52 8.25 0 4.589791
202.7 116.924 18.567 30.276 6.4 8.25 0.181788 106.7458
201.8 113.9 19.11 30.47 6.36 8.25 6,142154 293.2648 6.073722 292.3922
201.9 110.9 19.65 30.67 6.24 8.25 128.8033 676.0338 136.8391 667.7804
202.8 107.855 20.197 30.864 6.14 8.25 389.0436 977.7058 398.4269 995.234
203.153 108 20.21 30.97 6.22 8.25 546.7284 1153.892 571.5446 1208.237
203.906 108.2 20.22 31.08 6.29 8.25 474.6528 1087.303 450.9763 1035.005188.108.335 20.223 31.188 6.27 4 216.5734 751.8852188.108.5 20.16 31.28 6.3 4 85.97945 624.6152
188.8 108.20.1 31.37 6.3 4 10.97873 347,1981
189.1 108.727 20.043 31.451 6.27 4 0.779612 184.8489
189.3 108.8 20.04 31.55 6.3 4 0 37.10208
189.5 108.9 20.3 31.65 6.3 4 0 6.480053189.7 109.093 20.022 31.738 6.27 4 0.118703 87.61777
189.9 109.2 20 31.83 6.3 4 6.073722 292.3922
190.1 109.3 19.98 31.92 6.3 4 136.8391 667.7804
19D.109.487 19.955 32.018 6.27 4 398.4269 995.234
126.9 109.1 19.96 32.11 6.3 4 571.5446 1208.23763.4 108.7 19.96 32.2 6.3 4 450.9763 1035.005
0 108.335 19.963 32.302 6.27 4 216.5734 751.8852
0 108.5 19.92 32.42 6.3 4 85.97945 624.6152
0 108.19.88 32.54 6.3 4 10.97873 347.1981
0 108.727 19.846 32.648 6.27 4 0.779612 184.8489
RS-1 Non Peak
CPI GOP HOUSING INCOME MORTGAGE PRIME HDD45 HDD65 NDD45 NDD65
0 108.8 19.8 32.75 6.3 4 o 37.10208
0 108.9 19.75 32.86 6.3 4 o 6.480053
0 109.093 19.701 32.968 6.27 4 0.118703 87,61777
0 109.2 19.65 33.09 6.3 4 6.073722 292.3922
0 109.3 19.6 33.21 6.3 4 136.8391 667.7804
0 109.487 19.547 33.327 6.27 4 398.4269 995.234
RS-1 Non Peak
janh45 janh65 febh45 febh65 marh45 marh65 aprh45 aprh65 mayh45 mayh65 junh45 junh65
418.7976 1070.579 0 0 0 0 0 0 0 0 0 0
0 0 380.7071 981.2447 0 0 0 0 0 0 0 0
0 0 0 0 158.1719 718.9295 0 0 0 0 0 0
0 0 0 0 0 0 82.65907 604.9561 0 0 0 0
0 0 0 0 0 0 0 0 14.89538 391.1834 0 0
0 0 0 0 0 0 0 0 0 0 1.96784 202.1928
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
651.2766 1306.891 0 0 0 0 0 0 0 0 0 0
0 0 574.9189 1145.796 0 0 0 0 0 0 0 0
0 0 0 0 251,9235 813.7116 0 0 0 0 0 0
0 0 0 0 0 0 172.1266 752.1147 0 0 0 0
0 0 0 0 0 0 0 0 49.48885 469.4394 0 0
0 0 0 0 0 0 0 0 0 0 2.064259 245.1526
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
555.138 1193.832 0 0 0 0 0 0 0 0 0 0
0 0 307.2779 898.1908 0 0 0 0 0 0 0 0
0 0 0 0 111.3124 646.964 0 0 0 0 0 0
0 0 0 0 0 0 140.0978 722.3657 0 0 0 0
0 0 0 0 0 0 0 0 37.94253 489.555 0 0
0 0 0 0 0 0 0 0 0 0 6.970269 183.6728
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0841.3977 1510.355 0 0 0 0 0 0 0 0 0 0
0 0 642.7287 1211.694 0 0 0 0 0 0 0 0
0 0 0 0 350.5985 925.7069 0 0 0 0 0 0
0 0 0 0 0 0 114.6736 685.0785 0 0 0 0
0 0 0 0 0 0 0 0 52.26441 499.8989 0 0
0 0 0 0 0 0 0 0 0 0 4.538969 278.0759
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
751,7474 1361.734 0 0 0 0 0 0 0 0 0 0
0 0 857.9014 1473.849 0 0 0 0 0 0 0 0
0 0 0 0 425.4799 985.1032 0 0 0 0 0 0
0 0 0 0 0 0 163.1656 641.0056 0 0 0 0
0 0 0 0 0 0 0 0 37.68844 370.967 0 0
0 0 0 0 0 0 0 0 0 0 2.05686 166.1445
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0935.9864 1575,091 0 0 0 0 0 0 0 0 0 0
0 0 380,3914 961.0152 0 0 0 0 0 0 0 0
0 0 0 0 100.122 624.5659 0 0 0 0 0 0
0 0 0 0 0 0 43.69103 510.4428 0 0 0 0
0 0 0 0 0 0 0 0 28.29432 473.8412 0 0
0 0 0 0 '0 0 0 0 0 0 4.175177 139.3709
RS-1 Non Peak
janh45 janh65 febh45 febh65 marh45 marh65 aprh45 aprh65 mayh45 mayh65 junh45 junh6500000000000 0
0 0 0 0 0 0 0 0 0 0 0 0000000000000
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0000000000000667.8066 1332.421 0 0 0 0 0 0 0 0 0 000383.5855 973.705 0 0 0 0 0 0 0 00000183.624 725.6734 0 0 0 0 0 000000096.28317 566.6594 0 0 0 0000000009.141094 206.712 0 000000000000.086387 144.4318
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0000000000000
0 0 0 0 0 0 0 0 0 0 0 0000000000000673.4502 1334.107 0 0 0 0 0 0 0 0 0 000473.8145 1033.53 0 0 0 0 0 0 0 00000172.272 734.8675 0 0 0 0 0 0000000113.8846 621.9625 0 0 0 00000000020.53476 372,9529 0 0
0 0 0 0 0 0 0 0 0 0 3.046178 159.9937000000000000000000000000
0 0 0 0 0 0 0 0 0 0 0 0000000000000
0 0 0 0 0 0 0 0 0 0 0 0000000000000693.5583 1335.64 0 0 0 0 0 0 0 0 0 000796.5356 1383.486 0 0 0 0 0 0 0 00000343.8454 909.2158 0 0 0 0 0 0
0 0 0 0 0 0 72.6384 561.901 0 0 0 0
0 0 0 0 0 0 0 0 7.403501 298.9011 0 0
0 0 0 0 0 0 0 0 0 0 2.849223 221.7348000000000000000000000000
0 0 0 0 0 0 0 0 0 0 0 0000000000000000000000000000000000000474.9671 1084.014 0 0 0 0 0 0 0 0 0 000413.6942 1027.147 0 0 0 0 0 0 0 00000226.4343 770.6363 0 0 0 0 0 000000048.56635 479.0229 0 0 0 00000000017.02636 370.1091 0 000000000004.108123 252.0536000000000000
0 0 0 0 0 0 0 0 0 0 0 0000000000000000000000000000000000000
0 0 0 0 0 0 0 0 0 0 0 0964.1917 1602.537 0 0 0 0 0 0 0 0 0 000388.7585 972.1862 0 0 0 0 0 0 0 0
0 0 0 0 139.6663 673.1511 0 0 0 0 0 000000097.69995 611.1998 0 0 0 00000000038.22824 494.6005 0 000000000003.810921 244.7354000000000000000000000000000000000000000000000000000000000000000000000000
RS-1 Non Peak
janh45 janh65 febh45 febh65 marh45 marh65 aprh45 aprh65 mayh45 mayh65 junh45 junh65534.6229 1192.894 0 0 0 0 0 0 0 0 0 000268.2087 824.9098 0 0 0 0 0 0 0 0000067.4602 573.7243 0 0 0 0 0 000000028.77086 481.2515 0 0 0 00000000o 9.244604 245.7468 0 000000000000.143788 87.1821000000000000000000000000000000000000000000000000000000000000000000000000695.0045 1356.9 0 0 0 0 0 0 0 0 0 000576.3141 1164.032 0 0 0 0 0 0 0 00000427.1067 1002.01 0 0 0 0 0 000000060.11806 576.1195 0 0 0 00000000018.28827 379.273 0 000000000001.528095 154.8222000000000000000000000000000000000000000000000000000000000000000000000000441,173 1050.509 0 0 0 0 0 0 0 0 0 000452,7235 1039.613 0 0 0 0 0 0 0 00000189.614 731.3487 0 0 0 0 0 000000071.38186 563.6595 0 0 0 00000000010.98383 288.8576 0 000000000000.474696 142.2451000000000000000000000000000000000000000000000000000000000000000000000000466.7838 1097.718 0 0 0 0 0 0 0 0 0 000184.6703 745.445 0 0 0 0 0 0 0 00000158.4408 697.4183 0 0 0 0 0 0000000101.8634 642.9628 0 0 0 00000000o 24.35166 440.1562 0 000000000003.203897 234.1024000000000000000000000000000000000000000000000000000000000000000000000000433.5068 1042.33 0 0 0 0 0 0 0 0 0 000545.401 1158.729 0 0 0 0 0 0 0 00000224.3273 784.8867 0 0 0 0 0 000000083.22135 575.222 0 0 0 00000000o 19.11834 410.2422 0 000000000001.480161 200.8229000000000000000000000000000000000000000000000000000000000000000000000000395.6788 989.2498 0 0 0 0 0 0 0 0 0 000408.7688 1025.169 0 0 0 0 0 0 0 00000226.58 762.9463 0 0 0 0 0 0000000109.1678 616.0484 0 0 0 00000000o 31.05433 386.0977 0 000000000000.447436 103.9366
RS-1 Non Peak
janh45 janh65 febh45 febh65 marh45 marh65 aprh45 aprh65 mayh45 mayh65 junh45 junh65
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0000000000000000000000000
0 0 0 0 0 0 0 0 0 0 0 0486.2585 1151.622 0 0 0 0 0 0 0 0 0 0
0 0 219.1204 798.7156 0 0 0 0 0 0 0 0
0 0 0 0 237.7829 779.4626 0 0 0 0 0 000000086.62968 636.5167 0 0 0 0
0 0 0 0 0 0 0 0 17.81946 365.6207 0 000000000001.015335 259.0415
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0000000000000
0 0 0 0 0 0 0 0 0 0 0 0000000000000
0 0 0 0 0 0 0 0 0 0 0 0476.8774 1117.596 0 0 0 0 0 0 0 0 0 0
0 0 362.0538 921.5613 0 0 0 0 0 0 0 0
0 0 0 0 221.3186 765,3592 0 0 0 0 0 0000000120.4439 697.1209 0 0 0 00000000036.12474 504.0649 0 0
0 0 0 0 0 0 0 0 0 0 4.974931 195.9546000000000000
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0000000000000499.602 1139.531 0 0 0 0 0 0 0 0 0 000288.3827 870.4169 0 0 0 0 0 0 0 0
0 0 0 0 165.5286 740.9273 0 0 0 0 0 000000082,82214 599.5601 0 0 0 0000000003.608452 302.692 0 000000000001.657625 144.6369
0 0 0 0 0 0 0 0 0 0 0 0000000000000000000000000
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0567,3875 1179.407 0 0 0 0 0 0 0 0 0 000621.561 1237.658 0 0 0 0 0 0 0 0
0 0 0 0 264.8969 808.3045 0 0 0 0 0 000000096.21431 638.5525 0 0 0 00000000026.35273 356.0507 0 000000000001.143791 150.6573
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0000000000000
0 0 0 0 0 0 0 0 0 0 0 0000000000000
0 0 0 0 0 0 0 0 0 0 0 0557.5207 1167.515 0 0 0 0 0 0 0 0 0 000583.7139 1200.631 0 0 0 0 0 0 0 00000389.3941 943.4799 0 0 0 0 0 000000096.4755 593.5742 0 0 0 00000000028,00411 449.8987 0 0
0 0 0 0 0 0 0 0 0 0 3.205589 179.134000000000000000000000000000000000000000000000000000000000000000000000000
R5-1 Non Peak
janh45 janh65 febh45 febh65 marh45 marh65 aprh45 aprh65 mayh45 mayh5 junh45 junh65
332.6663 935.5831 0 0 0 0 0 0 0 0 0 0
0 0 291.1874 896.7928 0 0 0 0 0 0 0 0
0 0 0 0 217.4539 740.6747 0 0 0 0 0 0
0 0 0 0 0 0 88.40912 579.4346 0 0 0 0
0 0 0 0 0 0 0 0 22.4389 480.822 0 0
0 0 0 0 0 0 0 0 0 0 2.840869 116,3867
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
582.974 1240.639 0 0 0 0 0 0 0 0 0 0
0 0 509.4115 1096,342 0 0 0 0 0 0 0 0
0 0 0 0 223.5856 746,0749 0 0 0 0 0 0
0 0 0 0 0 0 29.3571 487.1524 0 0 0 0
0 0 0 0 0 0 0 0 6.791855 320.8802 0 0
0 0 0 0 0 0 0 0 0 0 0.950981 195.72
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
469.5688 1103.67 0 0 0 0 0 0 0 0 0 0
0 0 412.8271 1001.986 0 0 0 0 0 0 0 0
0 0 0 0 204.8833 736.8348 0 0 0 0 0 0
0 0 0 0 0 0 92.99498 655.1058 0 0 0 0
0 0 0 0 0 0 0 0 13.09575 370.4047 0 0
0 0 0 0 0 0 0 0 0 0 1.012166 222.9116
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
396.1311 1034.892 0 0 0 0 0 0 0 0 0 0
0 0 410.8201 997.4162 0 0 0 0 0 0 0 0
0 0 0 0 298.701 848.9669 0 0 0 0 0 0
0 0 0 0 0 0 101.6795 651.4094 0 0 0 0
0 0 0 0 0 0 0 0 13.25511 320.5212 0 0
0 0 0 0 0 0 0 0 0 0 2.102615 134.5319
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
546.7284 1153.892 0 0 0 0 0 0 0 0 0 0
0 0 474.6528 1087.303 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
RS-1 Non Peak
janh45 janh65 febh45 febh65 marh45 marh65 aprh45 aprh65 mayh45 mayh65 junh45 junh65
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
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0 0 0 0 0 0 0 0 0 0 0 0
RS-1 Non Peak
julh45 julh65 augh45 augh65 seph45 seph65 oeth45 oelh65 novh45 novh65 deeh45 deeh65
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0.085377 66.90929 0 0 0 0 0 0 0 0 0 0
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0 0 0 0 0.058485 40.85829 0 0 0 0 0 0
0 0 0 0 0 0 18.70909 364.8012 0 0 0 0
0 0 0 0 0 0 0 0 51.70221 570.0009 0 0
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0 0 0 0 0 0 0 0 0 0 0 0
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0 0 0 0 0 0 0 0 0 0 0 0
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0 52.41238 0 0 0 0 0 0 0 0 0 0
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0 0 0 0 0 0 0 0 158.3532 678.0409 0 0
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0,037631 98.0569 0 0 0 0 0 0 0 0 0 0
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0 0 0 0 1.380507 70.37507 0 0 0 0 0 0
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0.200414 56.51454 0 0 0 0 0 0 0 0 0 0
0 0 0 3.683953 0 0 0 0 0 0 0 0
0 0 0 0 1.708919 80,15838 0 0 0 0 0 0
0 0 0 0 0 0 37.02143 338.8555 0 0 0 0
0 0 0 0 0 0 0 0 199.4614 815.8165 0 0
0 0 0 0 0 0 0 0 0 0 524.7621 1129.665
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0.040235 24.12728 0 0 0 0 0 0 0 0 0 0
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0 0 0 0 0 0 44,32833 444.285 0 0 0 0
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0 0 0 0 0 0 0 0 0 0 0 0
RS-1 Non Peak
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RS-1 Non Peak
julh45 julh65 augh45 augh65 seph45 seph65 oeth45 oeth65 novh45 novh65 deeM5 deeh65
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0 0 0 0 0 0 6.138014 246.4351 0 0 0 0
0 0 0 0 0 0 0 0 132.3573 642.9795 0 0
0 0 0 0 0 0 0 0 0 0 566.1569 1186.152
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0 0 0 0 0 0 0 0 0 0 0 0
0.350907 137.3405 0 0 0 0 0 0 0 0 0 0
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0 0 0 0 0 0 4.500793 260.936 0 0 0 0
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0 0 0 0 0 0 9.63039 255.3411 0 0 0 0
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RS-1 Non Peak
julh45 julh65 augh45 augh65 seph45 seph65 octh45 octh65 novh45 novh65 dech45 dach65
0 56.47281 0 0 0 0 0 0 0 0 0 0
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0 0 0 0 0 0 0 0 0 0 338.9364 955.5761
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0 66.50663 0 0 0 0 0 0 0 0 0 0
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0 0 0 0 0 19.493 0 0 0 0 0 0
0 0 0 0 0 0 4.403843 259.2628 0 0 0 0
0 0 0 0 0 0 0 0 94.20056 608,0871 0 0
0 0 0 0 0 0 0 0 0 0 307.6798 927.2636
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0 0 0 0 0 0 0 0 46.11282 499.5755 0 0
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0 0 0 0 0 0 0 0 0 0 372.175 964.5375
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0 0 0 0 0 0 0 0 0 0 305.937 916.4687
RS-1 Non Peak
julh45 julh65 augh45 augh65 seph45 seph65 oeth45 oelh65 novh45 novh65 deeM5 deeh65
0 0 0 0 0 0 0 0 0 0 0 0
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0 0 0 0 0 0 2.389138 1778933 0 0 0 0
0 0 0 0 0 0 0 0 183.0104 658.5467 0 0
0 0 0 0 0 0 0 0 0 0 298.9043 912.9302
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RS-1 Non Peak
julh45 julh65 . augh45 augh65 seph45 seph65 octh45 octh65 novh45 novh65 dech45 dech65
0 0 0 0 0 0 0 0 0 0 0 0
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0 0 0 0 0 0 0 0 0 0 0 0
RS-1 Non Peak
jann45 jann65 febn45 febn65 mam45 marn65 aprn45 aprn65 mayn45 mayn65 junn45 junn65
0 0 0 0 0 0 0 0 0 0 0 0
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RS-1 Non Peak
jann45 jann65 febn45 febn65 mam45 mam65 apm45 apm65 mayn45 mayn65 junn45 junn65
0 0 0 0 0 0 0 0 0 0 0 0000000000000000000000000
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RS.1 Non Peak
jann45 jann65 febn45 febn65 mam45 mam65 aprn45 aprn65 mayn45 mayn65 junn45 junn65
0 0 0 0 0 0 0 0 0 0 0 0000000000000000000000000
0 0 0 0 0 0 0 0 0 0 0 0000000000000000000000000000000000000000000000000
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RS-1 Non Peak
jann45 jann65 febn45 febn65 marn45 marn65 aprn45 aprn65 mayn45 mayn65 junn45 junn65
0 0 0 0 0 0 0 0 0 0 0 0
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RS-1 Non Peak
jann45 jann65 febn45 febn65 mam45 mam65 apm45 apm65 mayn45 mayn65 junn45 junn6500000000000 0000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000Ò00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000571.5446 1208.237 0 0 0 0 0 0 0 0 0 000450.9763 1035,005 0 0 0 0 0 0 0 00000216.5734 751.8852 0 0 0 0 0 000000085.97945 624.6152 0 0 0 00000000010.97873 347.1981 0 000000000000.779612 184.8489000000000000000000000000000000000000000000000000000000000000000000000000571.5446 1208.237 0 0 0 0 0 0 0 0 0 000450.9763 1035.005 0 0 0 0 0 0 0 00000216,5734 751.8852 0 0 0 0 0 000000085.97945 624.6152 0 0 0 00000000010.97873 347.1981 0 000000000000.779612 184.8489
RS-1 Non Peak
jann45 jann65 febn45 febn65 marn45 marn65 apm45 apm65 mayn45 mayn65 junn45 junn65
0 0 0 0 0 0 0 0 0 0 0 0
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R5-1 Non Peak
juln45 juln65 augn45 augn65 sepn45 sepn65 octn45 octn65 novn45 novn65 decn45 decn6500000000000 0000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
RS-1 Non Peak
juln45 juln65 augn45 augn65 sepn45 sepn65 ocln45 ocln65 novn45 novn65 decn45 decn65
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
RS-1 Non Peak
juln45 juln6S augn4S augn65 sepn45 sepn65 octn45 octn65 novn45 novn6S decn45 decn65
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0000000000000
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
RS-1 Non Peak
juln45 juln65 aU9n45 aU9n65 sepn45 sepn65 oc45 oeln65 novn45 novn65 decn45 deen65
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
RS-1 Non Peak
juln45 juln65 augn45 augn65 sepn45 sepn65 octn45 octn65 novn45 novn65 decn45 decn65
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0000000000000
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0000000000000
0 0 0 0 0 0 0 0 0 0 0 0000000000000
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 6.073722 292.3922 0 0 0 0
0 0 0 0 0 0 0 0 136.8391 667.7804 0 0
0 0 0 0 0 0 0 0 0 0 398.4269 995.234
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 37.10208 0 0 0 0 0 0 0 0 0 0
0 0 0 6.480053 0 0 0 0 0 0 0 0
0 0 0 0 0.118703 87.61777 0 0 0 0 0 0
0 0 0 0 0 0 6.073722 292.3922 0 0 0 0
0 0 0 0 0 0 0 0 136.8391 667.7804 0 0
0 0 0 0 0 0 0 0 0 0 398.4269 995.234
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
RS-1 Non Peak
juln45 juln65 augn45 augn65 sepn45 sepn65 oct45 octn65 novn45 novn65 decn45 decn65
o 37.10208 0 0 0 0 0 0 0 0 0 0
0 0 0 6.480053 0 0 0 0 0 0 0 0
0 0 0 0 0.118703 87.61777 0 0 0 0 0 0
0 0 0 0 0 0 6,073722 292.3922 0 0 0 0
0 0 0 0 0 0 0 0 136.8391 667.7804 0 0
0 0 0 0 0 0 0 0 0 0 398.4269 995.234
RS-1 Non Peak
JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
1 0 0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0 0 0
0 0 0 1 0 0 0 0 0 0 0 0
0 0 0 0 1 0 0 0 0 0 0 0
0 0 0 0 0 1 0 0 0 0 0 0
0 0 0 0 0 0 1 0 0 0 0 0
0 0 0 0 0 0 0 1 0 0 0 0
0 0 0 0 0 0 0 0 1 0 0 0
0 0 0 0 0 0 0 0 0 1 0 0
0 0 0 0 0 0 0 0 0 0 1 0
0 0 0 0 0 0 0 0 0 0 0 1
1 0 0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0 0 0
0 0 0 1 0 0 0 0 0 0 0 0
0 0 0 0 1 0 0 0 0 0 0 0
0 0 0 0 0 1 0 0 0 0 0 0
0 0 0 0 0 0 1 0 0 0 0 0
0 0 0 0 0 0 0 1 0 0 0 0
0 0 0 0 0 0 0 0 1 0 0 0
0 0 0 0 0 0 0 0 0 1 0 0
0 0 0 0 0 0 0 0 0 0 1 0
0 0 0 0 0 0 0 0 0 0 0 1
1 0 0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0 0 0
0 0 0 1 0 0 0 0 0 0 0 0
0 0 0 0 1 0 0 0 0 0 0 0
0 0 0 0 0 1 0 0 0 0 0 0
0 0 0 0 0 0 1 0 0 0 0 0
0 0 0 0 0 0 0 1 0 0 0 0
0 0 0 0 0 0 0 0 1 0 0 0
0 0 0 0 0 0 0 0 0 1 0 0
0 0 0 0 0 0 0 0 0 0 1 0
0 0 0 0 0 0 0 0 0 0 0 1
1 0 0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0 0 0
0 0 0 1 0 0 0 0 0 0 0 0
0 0 0 0 1 0 0 0 0 0 0 0
0 0 0 0 0 1 0 0 0 0 0 0
0 0 0 0 0 0 1 0 0 0 0 0
0 0 0 0 0 0 0 1 0 0 0 0
0 0 0 0 0 0 0 0 1 0 0 0
0 0 0 0 0 0 0 0 0 1 0 0
0 0 0 0 0 0 0 0 0 0 1 0
0 0 0 0 0 0 0 0 0 0 0 1
1 0 0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0 0 0
0 0 0 1 0 0 0 0 0 0 0 0
0 0 0 0 1 0 0 0 0 0 0 0
0 0 0 0 0 1 0 0 0 0 0 0
0 0 0 0 0 0 1 0 0 0 0 0
0 0 0 0 0 0 0 1 0 0 0 0
0 0 0 0 0 0 0 0 1 0 0 0
0 0 0 0 0 0 0 0 0 1 0 0
0 0 0 0 0 0 0 0 0 0 1 0
0 0 0 0 0 0 0 0 0 0 0 1
1 0 0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0 0 0
0 0 0 1 0 0 0 0 0 0 0 0
0 0 0 0 1 0 0 0 0 0 0 0
0 0 0 0 0 1 0 0 0 0 0 0
RS-1 Non Peak
JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC00000010000 0000000010000000000001000000000000100000000000010000000000001
1 0 0 0 0 0 0 0 0 0 0 0010000000000001000000000000100000000000010000000000001000000000000100000000000010000000000001000000000000100000000000010000000000001
1 0 0 0 0 0 0 0 0 0 0 0010000000000001000000000000100000000000010000000000001000000000000100000000000010000000000001000000000000100000000000010000000000001
1 0 0 0 0 0 0 0 0 0 0 0010000000000001000000000000100000000000010000000000001000000000000100000000000010000000000001000000000000100000000000010000000000001
1 0 0 0 0 0 0 0 0 0 0 0010000000000001000000000000100000000000010000000000001000000000000100000000000010000000000001000000000000100000000000010000000000001
1 0 0 0 0 0 0 0 0 0 0 0010000000000001000000000000100000000000010000000000001000000000000100000000000010000000000001000000000000100000000000010000000000001
RS-1 Non Peak
JAN FEB MAR APR MAY JUN JUl AUG SEP OCT NOV DEC
1 0 0 0 0 0 0 0 0 0 0 0010000000000
0 0 1 0 0 0 0 0 0 0 0 0000100000000
0 0 0 0 1 0 0 0 0 0 0 0000001000000000000100000
0 0 0 0 0 0 0 1 0 0 0 0000000001000000000000100
0 0 0 0 0 0 0 0 0 0 1 0000000000001
1 0 0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0 0 0
0 0 0 1 0 0 0 0 0 0 0 0
0 0 0 0 1 0 0 0 0 0 0 0000001000000
0 0 0 0 0 0 1 0 0 0 0 0
0 0 0 0 0 0 0 1 0 0 0 0
0 0 0 0 0 0 0 0 1 0 0 0000000000100000000000010
0 0 0 0 0 0 0 0 0 0 0 1
1 0 0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0 0 0000100000000
0 0 0 0 1 0 0 0 0 0 0 0000001000000
0 0 0 0 0 0 1 0 0 0 0 0
0 0 0 0 0 0 0 1 0 0 0 0000000001000
0 0 0 0 0 0 0 0 0 1 0 0000000000010
0 0 0 0 0 0 0 0 0 0 0 1
1 0 0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 0 0 0 0001000000000000100000000
0 0 0 0 1 0 0 0 0 0 0 0000001000000
0 0 0 0 0 0 1 0 0 0 0 0
0 0 0 0 0 0 0 1 0 0 0 0
0 0 0 0 0 0 0 0 1 0 0 0000000000100000000000010
0 0 0 0 0 0 0 0 0 0 0 1
1 0 0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0 0 0000100000000
0 0 0 0 1 0 0 0 0 0 0 0
0 0 0 0 0 1 0 0 0 0 0 0
0 0 0 0 0 0 1 0 0 0 0 0
0 0 0 0 0 0 0 1 0 0 0 0000000001000
0 0 0 0 0 0 0 0 0 1 0 0
0 0 0 0 0 0 0 0 0 0 1 0
0 0 0 0 0 0 0 0 0 0 0 1
1 0 0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 0 0 0 0001000000000000100000000
0 0 0 0 1 0 0 0 0 0 0 0000001000000
RS-1 Non Peak
JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
0 0 0 0 0 0 1 0 0 0 0 0
0 0 0 0 0 0 0 1 0 0 0 0
0 0 0 0 0 0 0 0 1 0 0 0
0 0 0 0 0 0 0 0 0 1 0 0
0 0 0 0 0 0 0 0 0 0 1 0
0 0 0 0 0 0 0 0 0 0 0 1
1 0 0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0 0 0
0 0 0 1 0 0 0 0 0 0 0 0
0 0 0 0 1 0 0 0 0 0 0 0
0 0 0 0 0 1 0 0 0 0 0 0
0 0 0 0 0 0 1 0 0 0 0 0
0 0 0 0 0 0 0 1 0 0 0 0
0 0 0 0 0 0 0 0 1 0 0 0
0 0 0 0 0 0 0 0 0 1 0 0
0 0 0 0 0 0 0 0 0 0 1 0
0 0 0 0 0 0 0 0 0 0 0 1
1 0 0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0 0 0
0 0 0 1 0 0 0 0 0 0 0 0
0 0 0 0 1 0 0 0 0 0 0 0
0 0 0 0 0 1 0 0 0 0 0 0
0 0 0 0 0 0 1 0 0 0 0 0
0 0 0 0 0 0 0 1 0 0 0 0
0 0 0 0 0 0 0 0 1 0 0 0
0 0 0 0 0 0 0 0 0 1 0 0
0 0 0 0 0 0 0 0 0 0 1 0
0 0 0 0 0 0 0 0 0 0 0 1
1 0 0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0 0 0
0 0 0 1 0 0 0 0 0 0 0 0
0 0 0 0 1 0 0 0 0 0 0 0
0 0 0 0 0 1 0 0 0 0 0 0
0 0 0 0 0 0 1 0 0 0 0 0
0 0 0 0 0 0 0 1 0 0 0 0
0 0 0 0 0 0 0 0 1 0 0 0
0 0 0 0 0 0 0 0 0 1 0 0
0 0 0 0 0 0 0 0 0 0 1 0
0 0 0 0 0 0 0 0 0 0 0 1
1 0 0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0 0 0
0 0 0 1 0 0 0 0 0 0 0 0
0 0 0 0 1 0 0 0 0 0 0 0
0 0 0 0 0 1 0 0 0 0 0 0
0 0 0 0 0 0 1 0 0 0 0 0
0 0 0 0 0 0 0 1 0 0 0 0
0 0 0 0 0 0 0 0 1 0 0 0
0 0 0 0 0 0 0 0 0 1 0 0
0 0 0 0 0 0 0 0 0 0 1 0
0 0 0 0 0 0 0 0 0 0 0 1
1 0 0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0 0 0
0 0 0 1 0 0 0 0 0 0 0 0
0 0 0 0 1 0 0 0 0 0 0 0
0 0 0 0 0 1 0 0 0 0 0 0
0 0 0 0 0 0 1 0 0 0 0 0
0 0 0 0 0 0 0 1 0 0 0 0
0 0 0 0 0 0 0 0 1 0 0 0
0 0 0 0 0 0 0 0 0 1 0 0
0 0 0 0 0 0 0 0 0 0 1 0
0 0 0 0 0 0 0 0 0 0 0 1
RS-1 Non Peak
JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
1 0 0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0 0 0
0 0 0 1 0 0 0 0 0 0 0 0
0 0 0 0 1 0 0 0 0 0 0 0
0 0 0 0 0 1 0 0 0 0 0 0
0 0 0 0 0 0 1 0 0 0 0 0
0 0 0 0 0 0 0 1 0 0 0 0
0 0 0 0 0 0 0 0 1 0 0 0
0 0 0 0 0 0 0 0 0 1 0 0
0 0 0 0 0 0 0 0 0 0 1 0
0 0 0 0 0 0 0 0 0 0 0 1
1 0 0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0 0 0
0 0 0 1 0 0 0 0 0 0 0 0
0 0 0 0 1 0 0 0 0 0 0 0
0 0 0 0 0 1 0 0 0 0 0 0
0 0 0 0 0 0 1 0 0 0 0 0
0 0 0 0 0 0 0 1 0 0 0 0
0 0 0 0 0 0 0 0 1 0 0 0
0 0 0 0 0 0 0 0 0 1 0 0
0 0 0 0 0 0 0 0 0 0 1 0
0 0 0 0 0 0 0 0 0 0 0 1
1 0 0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0 0 0
0 0 0 1 0 0 0 0 0 0 0 0
0 0 0 0 1 0 0 0 0 0 0 0
0 0 0 0 0 1 0 0 0 0 0 0
0 0 0 0 0 0 1 0 0 0 0 0
0 0 0 0 0 0 0 1 0 0 0 0
0 0 0 0 0 0 0 0 1 0 0 0
0 0 0 0 0 0 0 0 0 1 0 0
0 0 0 0 0 0 0 0 0 0 1 0
0 0 0 0 0 0 0 0 0 0 0 1
1 0 0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0 0 0
0 0 0 1 0 0 0 0 0 0 0 0
0 0 0 0 1 0 0 0 0 0 0 0
0 0 0 0 0 1 0 0 0 0 0 0
0 0 0 0 0 0 1 0 0 0 0 0
0 0 0 0 0 0 0 1 0 0 0 0
0 0 0 0 0 0 0 0 1 0 0 0
0 0 0 0 0 0 0 0 0 1 0 0
0 0 0 0 0 0 0 0 0 0 1 0
0 0 0 0 0 0 0 0 0 0 0 1
1 0 0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0 0 0
0 0 0 1 0 0 0 0 0 0 0 0
0 0 0 0 1 0 0 0 0 0 0 0
0 0 0 0 0 1 0 0 0 0 0 0
0 0 0 0 0 0 1 0 0 0 0 0
0 0 0 0 0 0 0 1 0 0 0 0
0 0 0 0 0 0 0 0 1 0 0 0
0 0 0 0 0 0 0 0 0 1 0 0
0 0 0 0 0 0 0 0 0 0 1 0
0 0 0 0 0 0 0 0 0 0 0 1
1 0 0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0 0 0
0 0 0 1 0 0 0 0 0 0 0 0
0 0 0 0 1 0 0 0 0 0 0 0
0 0 0 0 0 1 0 0 0 0 0 0
RS-1 Non Peak
JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC00000010000 0000000010000000000001000000000000100000000000010000000000001
RS-1 Non Peak
Dale THERMS
1981.01 131.79
1981.02 126.00
1981.03 92.62
1981.04 82,69
1981.05 58.25
1981.06 41.22
1981.07 31.77
1981.08 27.00
1981.09 27,39
1981.10 47.50
1981.11 71.68
1981.12 107.69
1982,01 159.87
1982.02 141.55
1982.03 107.10
1982.04 99.81
1982.05 63.19
1982.06 41.40
1982.07 29.41
1982.08 24.89
1982.09 29.57
1982.10 50.18
1982.11 79.66
1982.12 120.61
1983.01 144.08
1983.02 113.17
1983.03 86,69
1983.04 90.18
1983.05 62.37
1983.06 38.21
1983.07 29.86
1983.08 25.63
1983.09 29.79
1983.10 42.20
1983.11 64.33
1983.12 120,90
1984.01 167.57
1984.02 144.43
1984.03 115.52
1984.04 89.45
1984.05 68.79
1984.06 44.38
1984.07 28.57
1984.08 23.89
1984.09 27.77
1984.10 44.34
1984.11 96.45
1984.12 130.27
1985.01 155.27
1985.02 167.08
1985.03 118.15
1985.04 82.28
1985.05 52.23
1985.06 35.21
1985.07 24.83
1985.08 23.52
1985,09 30.98
1985.10 51.17
1985,11 82.29
1985.12 153,55
1986.01 179.71
1986.02 122.43
1986.03 85,03
1986.04 66.97
1986,05 63.62
1986.06 34.78
PRICE
45.154
45.154
45.154
55.954
55.954
55.954
55.954
55.954
55.954
62.476
62.476
53.42
53.42
53.42
53.42
66.173
66.173
66.173
66.173
66.173
66.173
66.137
66.137
61,734
61.734
61,734
61.734
63,986
61.79
61.79
61.79
61.79
61.79
59.942
59.942
56.579
56.579
56.579
56.579
63.711
63.711
63.711
62.996
62.996
62.996
62.996
62,996
47.41
47.41
47.41
47.41
60.773
60.459
60.459
59.52
59.52
59.52
56.733
56.733
51.964
51.964
51.964
51.964
51.182
51.182
51.182
OctMarP SummerP WinlerP TREND81 TREND92 TRENDOO WTREND81 WTREND92 WTRENDOO45.154 0 45,154 1 145.154 0 45.154 2 245.154 0 45.154 3 3o 55.954 0 4 0o 55.954 0 5 0o 55.954 0 6 0o 55.954 0 7 0o 55.954 0 8 0o 55.954 0 9 062.476 62.476 0 10 462.476 62.476 0 11 553.42 0 53.42 12 653.42 0 53.42 13 753.42 0 53.42 14 853.42 0 53.42 15 9o 66.173 0 16 0o 66.173 0 17 0o 66.173 0 18 0o 66.173 0 19 0o 66.173 0 20 0o 66.173 0 21 066.137 66.137 0 22 1066.137 66.137 0 23 1161.734 0 61.734 24 1261.734 0 61.734 25 1361.734 0 61.734 26 1461.734 0 61.734 27 15o 63.986 0 28 0o 61.79 0 29 0o 61.79 0 30 0o 61.79 0 31 0o 61.79 0 32 0o 61.79 0 33 059.942 59.942 0 34 1659.942 59.942 0 35 1756.579 0 56.579 36 1856.579 0 56.579 37 1956.579 0 56.579 38 2056.579 0 56.579 39 21o 63.711 0 40 0o 63.711 0 41 0o 63.711 0 42 0o ~~ 0 ~ 0o 62.996 0 44 0o 62,996 0 45 062.996 62,996 0 46 2262.996 62.996 0 47 2347.41 0 47.41 48 2447.41 0 47.41 49 2547.41 0 47.41 50 2647.41 0 47.41 51 27o 60,773 0 52 0o 60.459 0 53 0o 60.459 0 54 0o 59.52 0 55 0o 59.52 0 56 0o 59.52 0 57 056.733 56.733 0 58 2856.733 56.733 0 59 2951.96 0 51.96 60 3051.964 0 51.96 61 3151.964 0 51.964 62 3251.964 0 51.964 63 33o 51,182 0 64 0o 51.182 0 65 0o 51.182 0 66 0
RS-2 Non Peak
Date THERMS
1986.07 24.34
1986.08 24.96
1986.09 27.36
1986.10 51.94
1986.11 71.24
1986.12 116.64
1987.01 159.79
1987.02 123.53
1987.03 95.91
1987.04 74.90
1987.05 38.63
1987.06 31.57
1987.07 24.45
1987.08 25.08
1987.09 26.59
1987.10 37.24
1987.11 68.40
1987.12 111.80
1988.01 164.47
1988.2 130.39
1988.3 98.2
1988.04 84.46
1988.05 52.69
1988.06 33.92
1988.07 22.64
1988.08 22.11
1988.09 29.75
1988.10 35.19
1988.11 65.75
1988.12 130.81
1989,01 168.83
1989.02 172.76
1989.03 121.241989,04 81.8
1989.05 43.59
1989.06 38.34
1989.07 23.87
1989.08 22.81
1989.09 29.95
1989.10 40.60
1989.11 82.59
1989.12 126.25
1990.01 144.59
1990.02 143.43
1990.03 106.17
1990.04 65.84
1990.05 49.63
1990.06 40.34
1990.07 22.71
1990.08 22.25
1990.09 24.84
1990.10 38.47
1990.11 89.18
1990.12 133.81
1991.01 208.87
1991.02 137.78
1991.03 97.98
1991.04 85.40
1991.05 69.86
1991.06 41.01
1991.07 22.76
1991.08 22.76
1991.09 26.93
1991.10 33,00
1991.11 102.56
1991.12 140.37
PRICE
51.182
51.182
51.82
51.182
51.182
47.126
42.404
43.826
43.826
48.776
47.477
47.477
46.379
46.379
46.379
47.7
47.7
44.337
44.337
44.337
44.337
47.7
47.7
47.7
47.7
47.7
47.7
42.83
42.83
39.467
39.467
39.467
39.467
42.83
42.83
42.83
42.814
42.814
42.814
42.814
42.814
39.451
39.451
39.451
39.451
42.814
42.814
42.814
44.681
44.681
44.681
44.681
44.681
41.318
41.318
41.318
41.318
44.681
44.681
44.681
44.638
44.638
44,638
44.638
44.638
41.275
OclMarP SummerP WinterP TREND81 TREND92 TRENDOO WTREND81 WTREND92 WTRENDOOo 51.182 0 67 0o 51.182 0 68 0o 51.182 0 69 051.182 51.182 0 70 3451.182 51.182 0 71 3547.126 0 47.126 72 3642.404 0 42.404 73 3743.826 0 43.826 74 3843.826 0 43.826 75 39o 48.776 0 76 0o 47.477 0 77 0o 47.477 0 78 0o 46.379 0 79 0o 46,379 0 80 0o 46.379 0 81 047.7 47.7 0 82 4047.7 47.7 0 83 4144.337 0 44.337 84 4244.337 0 44.337 85 4344.337 0 44.337 86 4444.337 0 44.337 87 45o 47.7 0 88 0o 47.7 0 89 0o 47.7 0 90 0o 47.7 0 91 0o 47.7 0 92 0o 47.7 0 93 042,83 42.83 0 94 4642.83 42.83 0 95 4739.467 0 39.467 96 4839.467 0 39.467 97 4939.467 0 39.467 98 5039,467 0 39,467 99 51o 42.83 0 100 0o 42.83 0 101 0o 42.83 0 102 0o 42.814 0 103 0o 42.814 0 104 0o 42.814 0 105 042.814 42.814 0 106 5242.814 42,814 0 107 5339.451 0 39,451 108 5439.451 0 39.451 109 5539.451 0 39.451 110 5639.451 0 39.451 111 57o 42.814 0 112 0o 42.814 0 113 0o 42,814 0 114 0o 44.681 0 115 0o 44.681 0 116 0o 44.681 0 117 044.681 44.681 0 118 5844.681 44.681 0 119 5941.318 0 41.318 120 6041.318 0 41,318 121 6141.318 0 41.318 122 6241.318 0 41.318 123 63o 44.681 0 124 0o 44.681 0 125 0o 44.681 0 126 0o 44.638 0 127 0o 44.638 0 128 0o 44.638 0 129 044.638 44.638 0 130 6444.638 44.638 0 131 6541.275 0 41.275 132 66
RS-2 Non Peak
Dale THERMS
1992.01 165.15
1992.02 118,18
1992.03 81.49
1992.04 64.72
1992.05 41.15
1992.06 25.62
1992.07 26.46
1992.08 22.05
1992.09 27.72
1992.10 39.14
1992,11 87.47
1992.12 158.31
1993.01 183.54
1993.02 156.07
1993.03 133.42
1993.04 82.95
1993.05 56.59
1993.06 31.15
1993.07 28.64
1993.08 23,59
1993.09 28.88
1993.10 40,41
1993.11 90.67
1993.12 151.65
1994.01 145.98
1994.02 143.12
1994.03 103.64
1994.04 75.65
1994.05 44.17
1994.06 29.64
1994.07 23.34
1994.08 18.51
1994.09 23.76
1994.10 39.94
1994.11 95.18
1994.12 149.89
1995.01 157.95
1995.02 117.61
1995.03 98.40
1995.04 86.08
1995.05 58.10
1995.06 38.32
1995.07 25.84
1995.08 20.25
1995.09 23.83
1995.10 42.41
1995.11 86.25
1995.12 107.92
1996.01 145.81
1996.02 153.07
1996.03 108.38
1996.04 79.00
1996.05 59.97
1996.06 34.81
1996.07 21.38
1996.08 20.45
1996.09 26.21
1996,10 40.53
1996.11 92.85
1996.12 127.01
1997.01 142.91
1997.02 143.04
1997.03 107.11
1997.04 80.86
1997.05 53.41
1997.06 26.87
PRICE
41.275
41.275
41.275
44.638
44.638
44.638
44.548
44.548
44.548
44.548
44.548
41.185
41.185
41.185
41.185
44.548
44.548
44.548
49.174
49.174
49.174
49.174
49.174
45.811
45.811
45.811
45.811
49.174
49.174
49.174
49.801
49.801
49.801
49.801
49.801
46.438
46.438
46.438
46.438
49,801
49,801
49.801
45.455
45.455
45.455
45.455
45.455
42,092
42.092
42.092
42.092
45.455
45.455
45.455
44.667
44.667
44.667
44.667
44.667
41.304
41.304
41.304
41,304
44.667
44,667
44.667
OclMarP SummerP WinlerP TREND81 TREND92 TRENDOO WTREND81 WTREND92 WTRENDOO41.275 0 41.275 133 1 67 141.275 0 41.275 134 2 68 241.275 0 41.275 135 3 69 3o 44.638 0 136 4 0 0o 44.638 0 137 5 0 0o 44.638 0 138 6 0 0o 44.548 0 139 7 0 0o 44.548 0 140 8 0 0o 44.548 0 141 9 0 044.548 44.548 0 142 10 70 444.548 44.548 0 143 11 71 541.185 0 41.185 144 12 72 641.185 0 41.185 145 13 73 741.185 0 41.185 146 14 74 841.185 0 41.185 147 15 75 9o 44,548 0 148 16 0 0o 44.548 0 149 17 0 0o 44.54 0 150 18 0 0o 49.174 0 151 19 0 0o 49.174 0 152 20 0 0o 49.174 0 153 21 0 049.174 49.174 0 154 22 76 1049.174 49.174 0 155 23 77 1145.811 0 45.811 156 24 78 1245.811 0 45.811 157 25 79 1345.811 0 45.811 158 26 80 1445.811 0 45.811 159 27 81 15o 49.174 0 160 28 0 0o 49.174 0 161 29 0 0o 49.174 0 162 30 0 0o 49.801 0 163 31 0 0o 49.801 0 164 32 0 0o 49.801 0 165 33 0 049.801 49.801 0 166 34 82 1649.801 49.801 0 167 35 83 1746.438 0 46.438 168 36 84 1846.438 0 46.438 169 37 85 1946.438 0 46.438 170 38 86 2046.438 0 46.438 171 39 87 21o 49.801 0 172 40 0 0o 49.801 0 173 41 0 0o 49.801 0 174 42 0 0o 45.455 0 175 43 0 0o 45.455 0 176 44 0 0o 45.455 0 177 45 0 045.455 45.455 0 178 46 88 2245.455 45.455 0 179 47 89 2342.092 0 42.092 180 48 90 2442.092 0 42.092 181 49 91 2542.092 0 42,092 182 50 92 2642.092 0 42.092 183 51 93 27o 45.455 0 184 52 0 0o 45.455 0 185 53 0 0o 45.455 0 186 54 0 0o 44.667 0 187 55 0 0o 44.667 0 188 56 0 0o 44.667 0 189 57 0 044.667 44.667 0 190 58 94 2844.667 44.667 0 191 59 95 2941.304 0 41.304 192 60 96 3041.304 0 41,304 193 61 97 3141.304 0 41,304 194 62 98 3241.304 0 41.304 195 63 99 33o 44.667 0 196 64 0 0o 44.667 0 197 65 0 0o 44.667 0 198 66 0 0
RS-2 Non Peak
Date THERMS PRICE OclMarP SummerP WinterP TREND81 TREND92 TRENDOO WTREND81 WTREND92 WTRENDOO
1997.07 22.67 46.465 0 46.465 0 199 67 0 01997.08 20.28 46.465 0 46.465 0 200 68 0 01997.09 21.65 46.465 0 46.465 0 201 69 0 01997.10 38.43 46.465 46.465 46.465 0 202 70 100 341997.11 80.09 46.465 46.465 46.465 0 203 71 101 351997.12 130.26 43.102 43.102 0 43.102 204 72 102 36
1998.01 161.09 43.102 43.102 0 43.102 205 73 103 371998.2 117.61 43.102 43.102 0 43.102 206 74 104 381998.03 107.22 43.102 43.102 0 43.102 207 75 105 391998.04 85.33 46.465 0 46.465 0 208 76 0 01998.05 50.70 46.465 0 46.465 0 209 77 0 01998,06 38.44 46.465 0 46.465 0 210 78 0 01998.07 24.59 45.507 0 45.507 0 211 79 0 01998.08 18,82 45.507 0 45.507 0 212 80 0 01998.09 20.11 45.507 0 45.507 0 213 81 0 0
1998.10 37.50 45.507 45.507 45.507 0 214 82 106 40
1998.11 79.75 45.507 45.507 45.507 0 215 83 107 411998.12 128.75 42.144 42.144 0 42.144 216 84 108 42
1999.01 156.37 42.144 42.144 0 42.144 217 85 109 431999.02 134.14 42.144 42.144 0 42.144 218 86 110 44
1999.03 111,83 42.144 42.144 0 42.144 219 87 111 451999.04 95.00 45.507 0 45.507 0 220 88 0 01999.05 65.26 45.507 0 45.507 0 221 89 0 01999.06 33.18 45.507 0 45.507 0 222 90 0 01999.07 23.24 45,507 0 45.507 0 223 91 0 01999,08 18.99 50.332 0 50.332 0 224 92 0 01999.09 23.91 50.332 0 50.332 0 225 93 0 01999.10 39.13 50.332 50.332 50.332 0 226 94 112 46 11999.11 70.22 50.332 50.332 50.332 0 227 95 113 47 21999.12 116.77 46.969 46.969 0 46.969 228 96 114 48 32000.01 158.02 46.969 46.969 0 46.969 229 97 1 115 49 42000.02 124.37 46,969 46.969 0 46.969 230 98 2 116 50 52000.03 105.16 46.969 46.969 0 46.969 231 99 3 117 51 62000,04 77.13 50.332 0 50.332 0 232 100 4 0 0 02000.05 40,81 50.332 0 50.332 0 233 101 5 0 0 02000.06 30.10 50.332 0 50.332 0 234 102 6 0 0 02000.7 22.09 65.004 0 65.004 0 235 103 7 0 0 02000.8 18.29 65.004 0 65.004 0 236 104 8 0 0 02000.09 24.71 65.004 0 65.004 0 237 105 9 0 0 02000.10 39,07 65.004 65.004 65.004 0 238 106 10 118 52 72000.11 98.95 65.004 65.004 65.004 0 239 107 11 119 53 82000.12 144.59 61.641 61.641 0 61.641 240 108 12 120 54 92001.01 158.08 61.641 61.641 0 61.641 241 109 13 121 55 102001.02 158.15 75.264 75.264 0 75.264 242 110 14 122 56 112001.03 103.60 75.264 75.264 0 75.264 243 111 15 123 57 122001.04 78.99 78.627 0 78.627 0 244 112 16 0 0 02001.05 46.14 78.627 0 78.627 0 245 113 17 0 0 02001.06 27.20 78,627 0 78.627 0 246 114 18 0 0 02001.07 20.23 81.517 0 81.517 0 247 115 19 0 0 02001.08 17.71 81.517 0 81.517 0 248 116 20 0 0 02001.09 21.67 81.517 0 81.517 0 249 117 21 0 0 02001.10 33.86 81.517 81.517 81.517 0 250 118 22 124 58 132001.11 69.71 81.517 81.517 81.517 0 251 119 23 125 59 142001.12 126.35 78.154 78.154 0 78.154 252 120 24 126 60 152002.01 151.80 78.154 78.154 0 78.154 253 121 25 127 61 162002.02 152.31 78.154 78.154 0 78.154 254 122 26 128 62 172002.03 119.80 78.154 78.154 0 78.154 255 123 27 129 63 182002.04 73.16 81,517 0 81.517 0 256 124 28 0 0 02002.05 52.99 81.517 0 81.517 0 257 125 29 0 0 02002.06 31.09 81.517 0 81.517 0 258 126 30 0 0 02002.07 18.83 57.698 0 57.698 0 259 127 31 0 0 02002.08 18.10 57.698 0 57.698 0 260 128 32 0 0 02002.09 21.50 57.698 0 57.698 0 261 129 33 0 0 02002.10 38.35 57.698 57.698 57.698 0 262 130 34 130 64 192002.11 91.30 57.698 57.698 57.698 0 263 131 35 131 65 202002.12 115.80 54.335 54.335 0 54.335 264 132 36 132 66 21
RS-2 Non Peak
Date THERMS PRICE
2003.01 125.39 54.335
2003.02 118.8331 54.335
2003.03 100.3433 54.335
2003.04 76.01209 57.698
2003.05 58.85 57.698
2003.06 26.73 57.698
2003.07 19.18285 78.022
2003.08 17.03299 78.022
2003.09 20.97413 78.022
2003.10 28.07647 78.022
2003.11 77.82335 78,022
2003.12 118.6017 74.659
2004.01 159.747 74.659
2004.02 141.5393 74.659
2004.03 97.05735 74.659
2004.04 55.78794 78.022
2004.05 40.28607 78.022
2004.06 28.20187 78.022
2004.07 19.36916 86.105
2004.08 18.05896 86.105
2004,09 23.39609 86.105
2004,10 32.21869 86.105
2004.11 81.55144 86.105
2004.12 125.8078 82.742
2005.01 147.1087 82.742
2005.02 127.3871 82.742
2005.03 89.09553 82.742
2005.04 81.84043 86.105
2005.05 44.65062 86.105
2005.06 29.85252 86.105
2005.07 21.2352 86.105
2005.08 16.15074 86.105
2005.09 22.75449 86.105
2005.10 36.35909 110.648
2005,11 72.60207 110.648
2005,12 145,0394 107.285
2006,01 140.2041 107.285
2006.02 129.7774 107.285
2006.03 109.2696 107.285
2006.04 82.53476 110.648
2006.05 36.08115 110.648
2006.06 26.46525 110.648
2006.07 19.27318 110,648
2006.08 15.90986 110.648
2006.09 23.22115 110.648
2006.10 33.51916 106.648
2006,11 79.699 106.648
2006.12 123.4206 103.285
2007.01 150.1961 103.285
2007.02 140.6036 103.285
2007.03 103.285
2007.04 106.6482007.05 106,648
2007.06 106,648
2007.07 106.648
2007.08 106.648
2007.09 106.648
2007.10 106.648
2007.11 106.648
2007.12 103,285
2008.01 103.285
2008.02 103.285
2008.03 103.285
2008.04 106.648
2008.05 106.648
2008.06 106.648
OctMarP SummerP WinterP TREND81 TREND92 TRENDOO WTREND81 WTREND92 WTRENDOO54.335 0 54.335 265 133 37 133 67 2254.335 0 54.335 266 134 38 134 68 2354.335 0 54.335 267 135 39 135 69 24o 57.698 0 268 136 40 0 0 0o 57,698 0 269 137 41 0 0 0o 57.698 0 270 138 42 0 0 0o 78.022 0 271 139 43 0 0 0o 78.022 0 272 140 44 0 0 0o 78.022 0 273 141 45 0 0 078.022 78.022 0 274 142 46 136 70 2578.022 78.022 0 275 143 47 137 71 2674.659 0 74.659 276 144 48 138 72 2774.659 0 74.659 277 145 49 139 73 2874.659 0 74.659 278 146 50 140 74 2974.659 0 74.659 279 147 51 141 75 30o 78.022 0 280 148 52 0 0 0o 78.022 0 281 149 53 0 0 0o 78.022 0 282 150 54 0 0 0o 86.105 0 283 151 55 0 0 0o 86.105 0 284 152 56 0 0 0o 86.105 0 285 153 57 0 0 086.105 86.105 0 286 154 58 142 76 3186.105 86.105 0 287 155 59 143 77 3282.742 0 82.742 288 156 60 144 78 3382.742 0 82.742 289 157 61 145 79 3482.742 0 82.742 290 158 62 146 80 3582.742 0 82.742 291 159 63 147 81 36o 86.105 0 292 160 64 0 0 0o 86.105 0 293 161 65 0 0 0o 86.105 0 294 162 66 0 0 0o 86.105 0 295 163 67 0 0 0o 86.105 0 296 164 68 0 0 0o 86.105 0 297 165 69 0 0 0110.648 110.648 0 298 166 70 148 82 37110.648 110.648 0 299 167 71 149 83 38107.285 0 107.285 300 168 72 150 84 39107.285 0 107.285 301 169 73 151 85 40107.285 0 107.285 302 170 74 152 86 41107.285 0 107.285 303 171 75 153 87 42o 110.648 0 304 172 76 0 0 0o 110.648 0 305 173 77 0 0 0o 110.648 0 306 174 78 0 0 0o 110.648 0 307 175 79 0 0 0o 110.648 0 308 176 80 0 0 0o 110.648 0 309 177 81 0 0 0106.648 106.648 0 310 178 82 154 88 43106.648 106.648 0 311 179 83 155 89 44103.285 0 103.285 312 180 84 156 90 45103.285 0 103.285 313 181 85 157 91 46103.285 0 103.285 314 182 86 158 92 47103.285 0 103.285 315 183 87 159 93 48o 106.648 0 316 184 88 0 0 0o 106.648 0 317 185 89 0 0 0o 106.648 0 318 186 90 0 0 0o 106.648 0 319 187 91 0 0 0o 106.648 0 320 188 92 0 0 0o 106.648 0 321 189 93 0 0 0106.648 106.648 0 322 190 94 160 94 49106.648 106.648 0 323 191 95 161 95 50103.285 0 103.285 324 192 96 162 96 51103.285 0 103.285 325 193 97 163 97 52103.285 0 103.285 326 194 98 164 98 53103.285 0 103.285 327 195 99 165 99 54o 106.648 0 328 196 100 0 0 0o 106.648 0 329 197 101 0 0 0o 106.648 0 330 198 102 0 0 0
RS-2 Non Peak
Date THERMS
2008.07
2008.08
2008.09
2008.10
2008.11
2008.12
PRICE
106.648
106.648
106.648
106.648
106.648
103.285
OctMarP SummerP WinterP TREND81 TREND92 TRENDOO WTREND81 WTREND92 WTRENDOOo 106.648 0 331 199 103 0 0 0o 106.648 0 332 200 104 0 0 0o 106.648 0 333 201 105 0 0 0106.648 106.648 0 334 202 106 166 100 55106.648 106.648 0 335 203 107 167 101 56103.285 0 103.285 336 204 108 168 102 57
RS-2 Non Peak
CPI GOP HOUSING INCOME MORTGAGE PRIME HDD45 HDD65 NDD45 NDD65
87.20 57.90 6.09 9.26 14.9 20.16 446.1451 1100.854
88.00 58.20 5.73 9.29 15.13 19.43 442.9918 1043.171
88.60 58.58 5.37 9.32 15.18.05 195.8427 760.6666
89.10 58.90 4.79 9.32 15.58 17.15 105.7742 641.3444
89.70 59.30 4.21 9.32 16.4 19.61 20.06367 421.8917
90.50 59.66 3.62 9.33 16.7 20.3 4.069728 233.1921
91.50 60.00 3.53 9.40 16.83 20.39 0.253169 75.96918
92.20 60.30 3.44 9.48 17.29 20.5 0 6.017327
93.10 60.70 3.35 9.56 18.16 20.8 0.076741 42.03905
93.40 61.00 2.91 9,51 18.45 18.45 24.66878 376.9831
93.80 61.0 2.47 9.46 17.83 16.84 72.07951 605.7303
94.10 61.56 2.03 9.42 16.92 15.75 287.6364 899,3282
94.40 61.80 2.03 9.43 17.4 15.75 704.1281 1362.157
94.70 62.10 2.04 9.45 17.6 16.56 636.9559 1207.535
94.70 62.33 2.05 9.46 17.16 16.5 286.3301 851.1474
95.00 62.60 2.10 9.50 16.89 16.5 206.7926 797.6682
95.90 62.90 2.15 9.54 16.8 16.5 64.11795 511.2844
97.00 63.19 2.20 9.58 16.7 16.5 3.973808 281.5793
97.50 63.40 2.28 9.60 16.82 16.26 0 60.38324
97.70 63.60 2.36 9.62 16.27 14.39 0 7.420491
97.70 63.87 2.45 9.64 15.3 13.5 1.489075 82.43185
98.10 64.00 2.81 9.69 14,61 12.52 29.29414 400.7248
98.00 64.20 3.17 9.74 13.83 11.85 175.8936 706.8313
97.70 64.41 3.52 9.80 13.62 11.5 431.3483 1043.182
97.90 64.60 3.64 9.95 13.25 11.6 603.6307 1243.433
98.00 64.80 3.76 10.10 13.04 10.98 371.3263 961.7506
98,10 64.88 3.88 10.24 12.8 10.5 156.9159 706.0951
98,80 65.10 4.27 10.25 12.78 10.5 178.2896 770.044
99.20 65.30 4.66 10.26 12.63 10.5 50.93813 527.482
99.40 65.54 5.06 10.28 12.87 10.5 11,08372 211.6474
99.80 65.70 4.76 10.26 13.42 10.5 0.028042 111.0598
100.10 65.90 4.46 10.24 13.81 10.89 0 17.51164
100,40 66.2 4.16 10.22 13.73 11 2.009101 70.64814
100.80 66.30 4.35 10.32 13.54 11 7.986518 312.5902
101.10 66.60 4.53 10.42 13.44 11 72.72363 546.8243
101.40 66.84 4.71 10.51 13.2 11 470.8864 1074,507
102.10 67.00 4.92 10.56 13.37 11 886.6027 1555.156
102.60 67.20 5.12 10.61 13.23 11 689.5278 1257.633
102.90 67.44 5.32 10.67 13.39 11.21 435.6453 1013.955
103.30 67.60 5.06 10.77 13.65 11.93 151.688 732.2979
103.50 67.80 4.80 10.87 13.94 12.39 64.21439 526.0732
103.70 67.99 4.54 10.96 14.42 12.6 4.640993 298.8212
104.10 68.10 4.40 11.04 14.67 13 0.206108 61.62651
104.40 68.20 4.26 11.2 14.47 13 0 4.2827
104.70 68.39 4.12 11.21 14.35 12.97 1.387794 81.851
105.10 68.70 4.15 11.27 14.13 12.58 37.34827 349.3696
105.30 69.00 4.18 11.32 13.64 11.77 222.7095 842.6791
105.50 69.18 4.21 11.37 13.18 11.06 559.2633 1165.778
105.70 69.30 3.98 11.44 13.08 10.61 778.8269 1389.881
106.30 69.40 3.75 11.51 12.92 10.5 932.8573 1549.56
106.80 69.54 3.53 11.57 13.17 10.5 485.3368 1045.161
107.00 69.70 3.84 11.59 13.2 10.5 194.5924 686.8292
107.20 69.80 4.15 11.61 12.91 10.31 40.42662 389.6446
107.50 69.88 4.46 11.62 12.22 9.78 1.766419 178.4824
107.70 70.00 4.63 11.62 12.03 9.5 0.040113 29.36496
107.90 70.10 4.80 11.62 12.19 9.5 0 31.14308
108.10 70.30 4.98 11.63 12.19 9.5 1.159075 144.0941
108.50 70.40 4.78 11.68 12.14 9.5 54.1057 467.6909
109.00 70.50 4.58 11.73 11.8 9.5 196.0872 738.2258
109.50 70.66 4.38 11.78 11.26 9.5 809.6271 1428.483
109.90 70.80 4.40 11.80 10.88 9.5 962.5706 1603.265
109.70 70.90 4.42 11.82 10.71 9.5 421.3206 1003.507
109.10 7100 4.44 11.85 10.08 9.1 119.1276 656.1913
108.70 7120 4.37 11.86 9.94 8.83 55.29973 539.2369
109.00 7140 4.30 11.88 10.14 8.5 36.84343 502.8472
109.40 71.46 4.24 11.90 10.68 8.5 5.609279 156.3836
RS-2 Non Peak
CPt GOP HOUSING INCOME MORTGAGE PRIME HDD45 HDD65 NDD45 NDD65
109.50 71.60 4.23 11.95 10.51 8.16 0 42,26433
109.60 7180 4.21 12.00 10.2 7.9 0 17.24558
110.00 71.96 4.19 12.04 10.01 7.5 1.085012 100.3704
110.20 7210 4.06 12.05 9.97 7.5 18.56563 440.9391
110.40 72.30 3.92 12.06 9.7 7.5 112.6885 609.2952
110.80 72.51 3.78 12.07 9.31 7.5 375,338 992,7927
111.40 72.60 3.83 12.14 9.2 7.5 709,8745 1374.51
111.80 7270 3.88 12.21 9.08 7.5 411.5588 1001.151
112.20 72.90 3.92 12.29 9.04 7.5 208.5696 760.178
112.70 73.10 3.73 12.35 9.83 7.75 115.3575 605.4148
113.00 73.30 3.54 12.41 10.6 8.14 11.29471 223.77
113.50 73.45 3.36 12.47 10.54 8.25 0.096413 159.5435
113.80 73.60 3.22 12.54 10.28 8.25 0 46.60208
114.30 73.80 3.08 12.61 10.33 8.25 0 34.84902
114.70 73.95 2.93 12.67 10.89 8.7 0 66.22132
115.00 74.20 3.10 12.76 11.26 9.07 4.765498 244.169
115.40 74.40 3.27 12.85 10.65 8.78 71,80118 574.8538
115.60 74.56 3.43 12.93 10.65 8.75 337.1785 917.7792
116.00 74.80 3.32 12.96 10.3 8.75 715.6102 1377.395
116.20 75.00 3.20 12.99 9.89 8.51 504.6007 1064.47
116.50 75.30 3.09 13.01 9.93 8.5 201.6072 769.4859
11.20 75.60 3.11 13.13 10.2 8.5 130.0584 652.8285
117.50 75.90 3.14 13.25 10.46 8.84 24.55485 393.9787
118.00 76.18 3.17 13.37 10.46 9 3.173399 165.361
118.50 76.40 3.28 13.49 10.3 9.29 0.005829 27.04097
119.00 76.60 3.39 13.61 10.6 9.84 0 7.802593
119.50 76.79 3.49 13.73 10.48 10 0.80979 95.85949
119.90 7710 3,52 13.80 10.3 10 1.001664 215.2678
120.30 77.40 3.56 13.87 10.27 10.05 82.11821 511.6752
120.70 7759 3,59 13.93 10.61 10.5 461.6218 1071.308
121.20 7780 3.51 14.12 10.73 10.5 732.5151 1373.642
121.60 78.10 3.42 14.31 10.65 10.93 833.2754 1421.927
122.20 78.34 3.33 14.51 11.03 11.5 356.256 922.6315
123.10 78.50 3.71 14.57 11.05 11.5 87.91868 588.6514
123.70 78.70 4.09 14.63 10.77 11.5 9.759193 318.2542
124.10 78.91 4.48 14.68 10.2 11.07 3.190199 239.6976
124.50 79.10 4.75 14.71 9.88 10.98 0.090696 43.41275
124.50 79.30 5.02 14.74 9.99 10.5 0.013868 10.71322
124.80 79.43 5.28 14.77 10.13 10.5 0.130286 133.9937
125.40 79.80 5.39 14.89 9.95 10.5 7.873598 272.3767
125.90 80.10 5.50 15.00 9.77 10.5 142.6205 658.6464
126.30 80.39 5.61 15.11 9.74 10.5 397.1871 1005.739
127.50 80.70 5.74 15.30 9.9 10.11 502.4785 1111.837
128.00 81.00 5.88 15.49 10.2 10 446.1289 1060.989
128.60 81.33 6.02 15.68 10.27 10 244.9563 792.3109
128.90 81.60 5.94 15.72 10.37 10 53.28328 501.9565
129.10 81.80 5.86 15.76 10.48 10 20.79081 392.3184
129.90 82.05 5.79 15.81 10.16 10 4.06872 265.7516
130.50 82.30 5.81 15.85 10.04 10 0.162813 38.17514
131.60 82.50 5.83 15.89 10,1 10 0 10.82289
132.50 82.69 5.85 15.93 10.18 10 0 37.7366
133.40 83.00 5.79 15.94 10.18 10 23.4047 252.7254
133.70 83.30 5.73 15.95 10.01 10 133.5067 689.4006
134.20 83.66 5.67 15.97 9.67 10 44.5606 1042.462
134.70 83.80 5.62 15.98 9.64 9.52 975.5836 1613.243
134.80 84.00 5.56 15.99 9.37 9.05 421.3333 1004.53
134.80 84.19 5.50 16.00 9.5 9 159.3 697.9729
135.10 84.40 5.80 16.3 9.49 9 105.9106 626.9369
135.60 84.60 6.09 16.07 9.47 8.5 43.67708 511.1851
136.00 84.77 6.39 16.11 9.62 8.5 3.836271 247.741
136.20 84.90 6.48 16.12 9.58 8.5 0.086804 57.7144
136.60 85.00 6.58 16.14 9.24 8.5 0 3.691559
137.00 85.20 6.68 16.15 9.01 8.2 0.281078 58.27321
137.20 85.40 7.06 16.23 8.86 8 5.408691 201.4519
137.80 85.60 7.44 16.31 8.71 7.58 241.6665 811.8714
138.20 85.77 7.83 16.39 8.5 7.21 423.6113 1050,865
RS-2 Non Peak
CPI GOP HOUSING INCOME MORTGAGE PRIME HDD45 HOD65 NOD45 NDD65
138.30 85.90 8.38 16.55 8.43 6.5 560.0294 1217.112
138.60 86.00 8.93 16.72 8.76 6.5 282.6793 840.2505
139.10 86.21 9.49 16.88 8.94 6.5 76.3968 588.4345
139.40 86.30 9.40 16.95 8.85 6.5 32,95857 494.7228
139.70 86.40 9.32 17.02 8.67 6.5 9.418589 251.7031
140.10 86.59 9.23 17.09 8.51 6.5 0.118954 93.17017
140.50 86.70 9.18 17.13 8.13 6.02 0.066415 61.18675
140.80 86.90 9.12 17.17 7.98 6 0.10366 19.26707
141.10 87.04 9.07 17.21 7.92 6 0,814529 132.4762
141.70 87.30 9.56 17.27 8.09 6 7.76922 259.7171
142.10 87.50 10.05 17.33 8.31 6 148.7559 666.7537
142.30 87.73 10.55 17.40 8.22 6 594.6061 1216.416
142.80 87.90 10.62 17.55 8.02 6 716.2927 1375.167
143.10 88.10 10.69 17.70 7.68 6 595.8064 1184.332
143.30 88.20 10.75 17.85 7.5 6 436.7799 1011.472
143.80 88.30 10.67 17.93 7.47 6 67.73743 592.6269
144.20 88.40 10.59 18.01 7.47 6 20.5675 384.3549
144.30 88.60 10.51 18.09 7.42 6 1,682436 164.8133
144.50 88.70 10.87 18.09 7.21 6 0.301016 145.1459
144.80 88.80 11.23 18.09 7.11 6 0 56.43836
145.00 89.03 11.59 18.08 6.92 6 0.337015 127.322
145.60 89.20 12.05 18.22 6.83 6 5.076538 268.6941
146.00 89.40 12.52 18.36 7.16 6 168.1163 699.5429
146.30 89.60 12.98 18.51 7.17 6 492.266 1129.735
146.30 89.70 13.43 18.42 7.06 6 450.8581 1057.989
146.70 89.80 13.88 18.33 7.15 6 457.6029 1044.773
147.10 89.98 14.32 18.24 7.68 6.06 196.641 742,6637
147.20 90.20 14.09 18.38 8.32 6.45 74.0767 566.8826
147.50 90.40 13.86 18.52 8.6 6.99 11.23463 292,6987
147.90 90.53 13.63 18.65 8.4 7.25 0.433014 141.02
148.40 90.70 13.19 18.73 8.61 7.25 0.038666 46.58707
149.00 90.80 12.75 18.80 8.51 7.51 0 3.697975
149.30 90.96 12.30 18.87 8.64 7.75 0 45.14888
149.40 91.20 11.80 18.91 8.93 7.75 10,50162 262.8167
149.80 91.40 11.30 18.95 9.17 8.15 191.4802 728.3354
150.10 91.55 10.81 18.99 9.2 8.5 514.9505 1124.607
150.50 91.70 10.23 19.09 9.15 8.5 462.6851 1090.869
150.90 91.80 9.65 19,19 8.83 9 192.5934 755.0576
151.20 91.89 9.07 19.29 8.46 9 164.1133 704,7503
151.80 92.00 8.93 19.29 8.32 9 102.4637 643.0061
152.10 92.10 8.79 19.29 7.96 9 24.6934 436.1742
152.40 92.28 8.65 19.29 7.57 9 3.040912 234.5237
152.60 92.40 8.98 19.31 7.61 8.8 0.431291 67.78478
152.90 92.60 9.31 19.33 7.86 8.75 0 25.36768
153.10 92.73 9.63 19.36 7,64 8.75 0.371516 55.70648
153.50 92.90 9.79 19.50 7.48 8.75 10.644 303.9418
153.70 93.10 9.95 19.64 7.38 8.75 110.6006 659.2444
153.90 93.30 10.10 19.78 7.2 8.65 204.1648 769.0728
154.70 93.40 9.96 19.68 7.03 8.5 436.6651 1046.25
155.00 93.50 9.82 19.58 7.08 8.25 551.0245 1163.952
155.50 93.62 9.68 19.48 7.62 8.25 226.3292 785.6681
156.10 93.80 9.82 19.59 7.93 8.25 83.58278 576.1435
156.40 93.90 9.96 19.70 8.07 8.25 19.03768 413.8209
156.70 94.06 10.10 19.80 8.32 8.25 1,242009 197,4471
157.00 94.20 9.72 19.81 8.25 8.25 0 38.02532
157.20 94.30 9.34 19.82 8 8.25 0 13.97831
157.70 94.46 8.95 19.84 8.23 8.25 1.047133 93.14016
158.20 94.60 8.68 19.84 7.92 8.25 23.31251 263.5225
158.70 94.80 8.41 19.84 7.62 8.25 135.2924 698.0036
159.10 94.96 8.13 19.85 7.6 8.25 304.2122 903.3605
159.40 95.10 8.17 19.93 7.82 8.25 395.8472 988,5599
159.70 95.20 8.21 20.01 7.65 8.25 408.3946 1023.87
159.80 95.29 8.26 20.10 7.9 8.3 223.4985 756.4596
159.90 95.40 8.27 20.16 8.14 8.5 108.2 612.2618
159.90 95.50 8.28 20.23 7.94 8.5 31.3614 379.954
160.20 95.54 8.28 20.30 7.69 8.5 0.249753 99.46595
RS-2 Non Peak
CPI GOP HOUSING INCOME MORTGAGE PRIME HDD45 HDD65 NDD45 NDD65
160.40 95.60 8.64 20.37 7.5 8.5 0 54.84076
160.80 95.70 9.00 20.44 7.48 8.5 0 8.95342
161.20 95.86 9.36 20.51 7.43 8.5 0 35.1472
161.50 95.90 9.42 20.51 7.29 8.5 9.323251 261.0914
161.70 96.00 9.47 20.52 7.21 8.5 94.62954 607,1791
161.80 96.10 9.53 20.52 7.1 8.5 338.4527 955.7798
162.00 96.20 9.87 20.90 6.99 8.5 476.4986 1139.459
162.00 96.30 10.21 21.28 7.04 8.5 215.5474 794.5043
162.00 96.28 10.56 21.66 7.13 8.5 233.195 771,3354
162.20 96.40 10.33 21.70 7.14 8.5 84.16577 630.7633
162.60 96.50 10.10 21.74 7.14 8.5 17.475 358.7963
162.80 96.62 9.86 21.77 7 8.5 0,817573 251.2118
163.20 96.70 9.75 21.83 6.95 8.5 o 65.25968
163.40 96.80 9.64 21.89 6.92 8.5 0 0.491379
163.50 96.90 9.52 21.94 6.72 8.49 o 21.11793
163.90 97.00 9.85 22.06 6.71 8.12 4.485432 255.9562
164.10 97.10 10.18 22.18 6.87 7.89 90.88509 600.8028
164.40 97.27 10.51 22.31 6.72 7.75 314.469 935.1287
164.70 97.40 10.36 22.36 6.79 7.75 467.8557 1105.385
164.70 97.50 10.21 22.41 6.81 7.5 353.9701 913.4379
164.80 97.70 10.05 22.47 7.04 7.5 214.9513 755.5278
165.90 97.80 10.11 22.53 6.92 7.75 117.0631 689.6511
166.00 97.90 10.16 22.59 7.15 7.5 34,47867 494.039
166.00 98.02 10.21 22.65 7.55 7.75 5.274233 196.2164
166.70 98.20 10.35 22.74 7.63 8 0 49.73832
167.10 98.40 10.49 22.83 7.94 8.06 0 5.343024
167.80 98.8 10.63 22.92 7.82 8.25 0.556561 81.83704
168.10 98.70 10.57 23.03 7.85 8.25 11.5311 260.7732
168.40 99.00 10.51 23.14 7,74 8.37 47.03816 496.0931
168.80 99,29 10,45 23.25 7.91 8.5 271.3538 848.1395
169.30 99,50 10.78 23.41 8.21 8.5 494.907 1131.656
170.00 99.70 11.1 23.57 8.33 8.73 282.2961 864.8544
171.00 99.78 11.44 23.74 8.24 8.83 160.056 735.2413
170.90 99.90 11.42 23.85 8.15 9 79.39694 587.2504
171.20 100.10 11.1 23.96 8.52 9.24 3.314773 292.1627
172.20 100.24 11.39 24.06 8.29 9.5 1.701481 145.3043
17.70 100.40 11.53 24.11 8.15 9.5 0 28.18256
17.70 100.50 11.67 24.15 8.03 9.5 0 1.19341
173.60 100.69 11.81 24.20 7.91 9.5 1.12115 91.98493
173.90 101.00 11.70 24.27 7.8 9.5 7.897759 269.8097
174.20 101.0 11.60 24.34 7.75 9.5 212.5704 768.9225
174.60 101.51 11.50 24.42 7.38 9.5 4779186 1084.524
175.60 101.80 11.99 24.42 7.03 9,05 560.9637 1172.849
176.00 102.10 12.48 24.42 7.05 8.5 603.2905 1220.215
176.10 102.29 12.97 24.42 6.95 8,32 256.9886 795.9418
176.40 102.40 12.99 24.46 7.08 7,8 92,59301 630,1217
17.30 102.50 13.2 24.50 7.15 7.24 26.71888 352,5687
17.70 102.69 13.05 24.55 7.16 6.98 1,013881 144.7565
177.40 102.80 12.60 24.56 7,13 6.75 0.489304 28.50547
17.40 102.90 12.15 24.57 6.95 6.67 0 6.736197
178.10 103.12 11.70 24.58 6.82 6.28 0 37.97004
17.60 103.30 11.55 24.55 6.62 5.53 8.991327 232.0431
17.50 103.40 11.40 24.52 6.66 5.1 61,74251 547.5515
17.40 103.55 11.25 24.48 7.07 4.84 361.046 950.8706
17.70 103.70 11.30 24.71 7 4.75 541.1574 1152,035
178.00 103.80 11.35 24.94 6.89 4.75 555,4687 1170,704
178.50 103.94 11.39 25.17 7.01 4.75 369.4529 921.1029
179.30 104.10 11.70 25.32 6.99 4.75 91.32306 583.1485
179.50 104.20 12.01 25.47 6.81 4,75 25.44831 44.109
179.60 104.35 12.32 25.63 6.65 4.75 3.140405 179.4335
180.00 104.50 12.56 25.52 6.49 4.75 0.181086 26.87764
180.50 104.70 12.80 25.2 6.29 4.75 0 8.830047
180.80 104.93 13.04 25.32 6.09 4.75 0.013935 54.7279
181.20 105.20 13.98 25.25 6.11 4.75 13.02136 317.5212
181.50 105.50 14.93 25.19 6.07 4.35 197.8561 760.0616
181.80 105.72 15.87 25.12 6.05 4.25 285.6258 892.432
RS-2 Non Peak
CPI GOP HOUSING INCOME MORTGAGE PRIME HDD45 HDD65 NDD45 NDD65
182.30 105.80 15.88 25.16 5.92 4.25 317.281 919.4034
183.30 105.90 15.89 25.20 5.84 4.25 278.8704 882.012
184.00 106.8 15.90 25.24 5.75 4.25 213.2846 737.8036
183.30 106.30 15.66 25.24 5.81 4.25 81.73457 571.1308
183.20 106.50 15.43 25.24 5.48 4.25 18.99899 469.2025
183.40 106.62 15.20 25.25 5.23 4.22 2.738717 114.0831
183.80 106.80 15.61 25.31 5.63 4 0 34.40333
184.50 107.00 16.02 25.37 6.26 4 0 0.173792
185.00 107.20 16.44 25.42 6.15 4 0.086891 56.94075
184.90 107.50 16,85 25.49 5.95 4 1.91483 167.6258
184.70 107.80 17.26 25.56 5.93 4 167.4365 626.285
185.20 108.19 17.67 25.62 5.88 4 279.7076 888.3189
185.90 108.50 17.23 25.98 5.74 4 560,8633 1221.574
186.50 108.80 16.80 26.34 5.64 4 496.4686 1083.962
187.20 109.17 16.37 26.71 5.45 4 215.7927 743.3233
187.50 109.40 16.87 26.90 5.83 4 27.65497 466.233
188.60 109.60 17.37 27,09 6.27 4 5.860833 315.9657
189.30 109.74 17.88 27.28 6.29 4.01 0.990582 195.4781
189.30 110.00 18.27 27.35 6.06 4.25 0 30.0619
189.40 110.30 18.66 27.43 5.87 4.43 0 5.414189
189.70 110.61 19.06 27.51 5.75 4.58 0.070834 94.35107
190.80 110.90 19.58 27.68 5.72 4.75 5.364196 219.8108
191.30 111.20 20.11 27.86 5.73 4.93 113.1432 656.9509
191.30 111.56 20.64 28.04 5.75 5.15 344.4063 953,2354
191.3 111.8 21.43 28.07 5.71 5.25 455.2465 1091,877
192.1 112 22.22 28.1 5.63 5,49 392.7751 982.8152
193 112.229 23.009 28.123 5.93 5.58 195.7113 724.8524
193.9 112.5 22.91 28.15 5.86 5.75 87.18536 647.2056
194 112.8 22.81 28.18 5.72 5.98 12.00715 356.7634
194 113.139 22.698 28.209 5.58 6.01 0.787351 210.4231
195.1 113.4 23.38 28.31 5.7 6.25 0.378788 41.87538
196.2 113.7 24.06 28.2 5.82 6.44 0 2.706245
198.6 114.048 24.747 28.526 5.77 6.59 0.077809 72.68052
199.2 114.4 23.9 28.2 6.07 6.75 5.558299 310.0053
197.9 114.7 23.05 28.72 6.33 7 94,21901 590.0569
197.8 114.967 22.198 28.815 6.27 7.15 520.7223 1128.432
199 115.3 22.49 29.04 6.15 7.26 382.926 1024.769
199.1 115.6 22.78 29.27 6.25 7.5 385.9672 973.1813
199.6 115.905 23.062 29.504 6.32 7.53 298.9947 848.7175
200.8 116.1 22.52 29.61 6.51 7.75 94.86288 640.0169
201.9 116.3 21.98 29.72 6.6 7.93 12.77966 318.3124
202.4 116.446 21.427 29.82 6.68 8.02 1.760105 129.3669
203.2 116.6 20.47 29.97 6.76 8.25 0 16.16114
203.8 116.8 19.52 30.12 6.52 8.25 0 2.429238
202.7 116.924 18.567 30.276 6.4 8.25 0.097281 75.03268
201.8 113.9 19.11 30.47 6.36 8.25 4,002345 262.6242 4.071858 267.8387
201.9 110.9 19.65 30.67 6.24 8.25 109.7974 637.0204 114.6406 630.473
202.8 107.855 20.197 30.864 6,14 8.25 362,7981 950.3733 375.0049 973.913
203.153 108 20.21 30.97 6.22 8.25 513.9838 1122.89 562.8906 1202.812
203.906 108.2 20.22 31.08 6,29 8.25 476.6453 1089.469 441.3149 1026,146
188.4 108.335 20.223 31.188 6.27 4 206.8773 740.8765
188.108.5 20.16 31.28 6.3 4 80.37878 615.1236
188.108.6 20.1 31.37 6.3 4 10.51696 341.533
189.1 108.727 20.043 31.451 6.27 4 0,783026 179.8273
189.3 108.8 20.04 31.55 6.3 4 0 32.23089
189.5 108.9 20.03 31.65 6.3 4 0 3.01824
189.7 109.093 20.022 31.738 6.27 4 0.060448 60.85712
189.9 109.2 20 31.83 6.3 4 4.071858 267.8387
190.1 109.3 19.98 31.92 6.3 4 114,6406 630.473
190.4 109.487 19.955 32.018 6.27 4 375,0049 973.913
126.9 109.1 19.96 32.11 6.3 4 562.8906 1202.812
63.4 108.7 19.96 32.2 6.3 4 441.3149 1026.146
0 108.335 19.963 32.302 6.27 4 206.8773 740.8765
0 108.5 19.92 32.42 6.3 4 80.37878 615.1236
0 108.6 19.88 32.54 6.3 4 10.51696 341.533
0 108.727 19.846 32.648 6.27 4 0.783026 179.8273
RS-2 Non Peak
CPt GOP HOUSING INCOME MORTGAGE PRIME HOD45 HOO65 NOO45 NOD65
0 108.8 19.8 32.75 6.3 4 o 32.23089
0 108.9 19.75 32.86 6.3 4 0 3.01824
0 109.093 19.701 32.96 6.27 4 0.060448 60.85712
0 109.2 19.65 33.09 6.3 4 4.071858 267.8387
0 109.3 19.6 33.21 6.3 4 114.6406 630.473
0 109.487 19.547 33.327 6.27 4 375.0049 973.913
RS-2 Non Peak
janh45 janh65 febh45 febh65 marh45 marh65 aprh45 aprh65 mayh45 mayh65 junh45 junh65446.1451 1100.854 0 0 0 0 0 0 0 0 0 000442.9918 1043.171 0 0 0 0 0 0 0 00000195.8427 760.6666 0 0 0 0 0 0000000105.7742 641.3444 0 0 0 00000000o 20.06367 421.8917 0 000000000004.069728 233.1921
0 0 0 0 0 0 0 0 0 0 0 0000000000000000000000000000000000000000000000000
0 0 0 0 0 0 0 0 0 0 0 0704.1281 1362.157 0 0 0 0 0 0 0 0 0 0
0 0 636,9559 1207.535 0 0 0 0 0 0 0 00000286.3301 851.1474 0 0 0 0 0 0000000206.7926 797.6682 0 0 0 0
0 0 0 0 0 0 0 o 64.11795 511.2844 0 000000000003.973808 281.5793
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0000000000000000000000000
603,6307 1243.433 0 0 0 0 0 0 0 0 0 000371.3263 961.7506 0 0 0 0 0 0 0 0
0 0 0 0 156.9159 706.0951 0 0 0 0 0 0000000178.2896 770.044 0 0 0 00000000o 50.93813 527.482 0 0000000000011.08372 211.6474000000000000
0 0 0 0 0 0 0 0 0 0 0 0000000000000
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0000000000000
886.6027 1555.156 0 0 0 0 0 0 0 0 0 000689.5278 1257.633 0 0 0 0 0 0 0 0
0 0 0 0 435.6453 1013.955 0 0 0 0 0 0
0 0 0 0 0 0 151.688 732.2979 0 0 0 00000000o 64.21439 526.0732 0 0
0 0 0 0 0 0 0 0 0 0 4.640993 298.8212000000000000
0 0 0 0 0 0 0 0 0 0 0 0000000000000000000000000000000000000000000000000
778.8269 1389.881 0 0 0 0 0 0 0 0 0 000932.8573 1549.56 0 0 0 0 0 0 0 00000485.3368 1045.161 0 0 0 0 0 0
0 0 0 0 0 0 194.5924 686.8292 0 0 0 00000000o 40.42662 389.6446 0 0
0 0 0 0 0 0 0 0 0 0 1.766419 178.4824
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0000000000000000000000000000000000000000000000000962.5706 1603.265 0 0 0 0 0 0 0 0 0 000421.3206 1003.507 0 0 0 0 0 0 0 0
0 0 0 0 119.1276 656.1913 0 0 0 0 0 000000055.29973 539.2369 0 0 0 00000000o 36.84343 502.8472 0 0
0 0 0 0 0 0 0 0 0 0 5.609279 156.3836
RS-2 Non Peak
janh45 janh65 febh45 febh65 marh45 marh65 aprh5 aprh65 mayh45 mayh65 junh45 junh65
0 0 0 0 0 0 0 0 0 0 0 0
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709.8745 1374.51 0 0 0 0 0 0 0 0 0 0
0 0 411.5588 1001.151 0 0 0 0 0 0 0 0
0 0 0 0 208.5696 760.178 0 0 0 0 0 0
0 0 0 0 0 0 115.3575 605.4148 0 0 0 0
0 0 0 0 0 0 0 0 11.29471 223.77 0 0
0 0 0 0 0 0 0 0 0 0 0.096413 159.5435
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0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
715.6102 1377395 0 0 0 0 0 0 0 0 0 0
0 0 504.6007 1064.47 0 0 0 0 0 0 0 0
0 0 0 0 201.6072 769.4859 0 0 0 0 0 0
0 0 0 0 0 0 130.0584 652.8285 0 0 0 0
0 0 0 0 0 0 0 0 24.55485 393.9787 0 0
0 0 0 0 0 0 0 0 0 0 3.173399 165.361
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0 0 0 0 0 0 0 0 0 0 0 0
732.5151 1373.642 0 0 0 0 0 0 0 0 0 0
0 0 833.2754 1421.927 0 0 0 0 0 0 0 0
0 0 0 0 356.256 922.6315 0 0 0 0 0 0
0 0 0 0 0 0 87.91868 588.6514 0 0 0 0
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502.4785 1111.837 0 0 0 0 0 0 0 0 0 0
0 0 446.1289 1060.989 0 0 0 0 0 0 0 0
0 0 0 0 244.9563 792.3109 0 0 0 0 0 0
0 0 0 0 0 0 53.28328 501.9565 0 0 0 0
0 0 0 0 0 0 0 0 20.79081 392.3184 0 0
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975.5836 1613.243 0 0 0 0 0 0 0 0 0 0
0 0 421.3333 1004.53 0 0 0 0 0 0 0 0
0 0 0 0 159.3 697.9729 0 0 0 0 0 0
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0 0 0 0 0 0 0 0 0 0 0 0
RS-2 Non Peak
janh45 janh65 febh45 febh65 marh45 marh65 aprh45 aprh65 mayh45 mayh65 junh45 junh65
560.0294 1217.112 0 0 0 0 0 0 0 0 0 0
0 0 282.6793 840.2505 0 0 0 0 0 0 0 0
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0 0 0 0 0 0 0 0 0 0 0 0716.2927 1375.167 0 0 0 0 0 0 0 0 0 000595.8064 1184.332 0 0 0 0 0 0 0 0
0 0 0 0 436.7799 1011.472 0 0 0 0 0 000000067.73743 592.6269 0 0 0 0
0 0 0 0 0 0 0 0 20.56475 384.3549 0 0
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0 0 0 0 0 0 0 0 0 0 0 0000000000000450.8581 1057.989 0 0 0 0 0 0 0 0 0 000457.6029 1044.773 0 0 0 0 0 0 0 0
0 0 0 0 196.641 742.6637 0 0 0 0 0 000000074.0767 566.8826 0 0 0 0
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0 0 0 0 0 0 0 0 0 0 0 0000000000000462.6851 1090.869 0 0 0 0 0 0 0 0 0 000192.5934 755.0576 0 0 0 0 0 0 0 0
0 0 0 0 164.1133 704.7503 0 0 0 0 0 0000000102.4637 643.0061 0 0 0 00000000024.6934 436.1742 0 0
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0 0 0 0 0 0 0 0 0 0 0 0000000000000436.6651 1046.25 0 0 0 0 0 0 0 0 0 000551.0245 1163.952 0 0 0 0 0 0 0 00000226.3292 785.6681 0 0 0 0 0 0
0 0 0 0 0 0 83.58278 576.1435 0 0 0 00000000019,03768 413.8209 0 0
0 0 0 0 0 0 0 0 0 0 1.242009 197.4471
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0 0 0 0 0 0 108.2 612.2618 0 0 0 0
0 0 0 0 0 0 0 0 31.3614 379.954 0 000000000000.249753 99.46595
RS-2 Non Peak
janh45 janh65 febh45 febh65 marh45 marh65 aprh45 aprh65 mayh45 mayh65 junh45 junh65
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
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476.4986 1139.459 0 0 0 0 0 0 0 0 0 0
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0 0 0 0 233.195 771.3354 0 0 0 0 0 0
0 0 0 0 0 0 84.16577 630.7633 0 0 0 0
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0 0 0 0 0 0 0 0 0 0 0 0
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467.8557 1105.385 0 0 0 0 0 0 0 0 0 0
0 0 353.9701 913.4379 0 0 0 0 0 0 0 0
0 0 0 0 214.9513 755.5278 0 0 0 0 0 0
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494.9067 1131.656 0 0 0 0 0 0 0 0 0 0
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0 0 0 0 160.056 735.2413 0 0 0 0 0 0
0 0 0 0 0 0 79.39694 587.2504 0 0 0 0
0 0 0 0 0 0 0 o 3.314773 292.1627 0 0
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560.9637 1172.849 0 0 0 0 0 0 0 0 0 0
0 0 603.2905 1220.215 0 0 0 0 0 0 0 0
0 0 0 0 256.9886 795.9418 0 0 0 0 0 0
0 0 0 0 0 0 92.59301 630.1217 0 0 0 0
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0 0 0 0 0 0 0 0 0 0 0 0
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541.1574 1152.035 0 0 0 0 0 0 0 0 0 0
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0 0 0 0 0 0 0 0 0 0 0 0
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RS-2 Non Peak
janh45 janh65 febh45 febh65 marh45 marh65 aprh45 aprh65 mayh45 mayh65 junh45 junh65317.281 919.4034 0 0 0 0 0 0 0 0 0 000278.8704 882.012 0 0 0 0 0 0 0 00000213.2846 737.8036 0 0 0 0 0 000000081.73457 571.1308 0 0 0 00000000018.99899 469.2025 0 000000000002.738717 114.0831000000000000000000000000000000000000000000000000000000000000000000000000560.8633 1221.574 0 0 0 0 0 0 0 0 0 000496.4686 1083.962 0 0 0 0 0 0 0 00000215.7927 743.3233 0 0 0 0 0 000000027.65497 466.233 0 0 0 0000000005.860833 315.9657 0 000000000000.990582 195.4781000000000000000000000000000000000000000000000000000000000000000000000000455.2465 1091.877 0 0 0 0 0 0 0 0 0 000392.7751 982.8152 0 0 0 0 0 0 0 0
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0 0 0 0 0 0 0 0 0 0 0 0000000000000000000000000000000000000000000000000
382.926 1024.769 0 0 0 0 0 0 0 0 0 000385.9672 973.1813 0 0 0 0 0 0 0 00000298.9947 848.7175 0 0 0 0 0 000000094.86288 640.0169 0 0 0 00000000012.77966 318.3124 0 000000000001.760105 129.3669
0 0 0 0 0 0 0 0 0 0 0 0000000000000000000000000000000000000000000000000000000000000513.9838 1122.89 0 0 0 0 0 0 0 0 0 000476.6453 1089.469 0 0 0 0 0 0 0 0000000000000000000000000
0 0 0 0 0 0 0 0 0 0 0 0
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RS-2 Non Peak
janh45 janh65 febh45 febh65 marh45 marh65 aprh45 aprh65 mayh45 mayh65 junh45 junh65
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
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0 0 0 0 0 0 0 0 0 0 0 0
RS-2 Non Peak
julh45 julh65 aU9h45 augh65 seph45 seph65 oeth45 oeth65 novh45 novh65 deeh45 deeh6500000000000 00000000000000000000000000000000000000000000000000000000000000.253169 75.96918 0 0 0 0 0 0 0 0 0 00006.017327 0 0 0 0 0 0 0 000000.076741 42.03905 0 0 0 0 0 000000024.66878 376.9831 0 0 0 00000000072,07951 605.7303 0 00000000000287.6364 899.3282000000000000000000000000000000000000
0 0 0 0 0 0 0 0 0 0 0 0000000000000000000000000060.38324 0 0 0 0 0 0 0 0 0 00007.420491 0 0 0 0 0 0 0 0
0 0 0 0 1.489075 82.43185 0 0 0 0 0 000000029.29414 400.7248 0 0 0 000000000175.8936 706.8313 0 00000000000431.3483 1043.182
0 0 0 0 0 0 0 0 0 0 0 0
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RS-2 Non Peak
julh45 julh65 augh45 augh65 seph45 seph65 oeth45 oeth65 novh45 novh65 deeh45 deeh65042.26433 0 0 0 0 0 0 0 0 0 000017.24558 0 0 0 0 0 0 0 000001.085012 100.3704 0 0 0 0 0 000000018.56563 440.9391 0 0 0 000000000112.6885 609.2952 0 00000000000375.338 992.7927000000000000000000000000000000000000000000000000000000000000000000000000046.60208 0 0 0 0 0 0 0 0 0 000034.84902 0 0 0 0 0 0 0 00000066.22132 0 0 0 0 0 00000004.765498 244.169 0 0 0 00000000071.80118 574.8538 0 00000000000337.1785 917.77920000000000000000000000000000000000000000000000000000000000000000000000000.005829 27.04097 0 0 0 0 0 0 0 0 0 00007.802593 0 0 0 0 0 0 0 000000,80979 95.85949 0 0 0 0 0 00000001,001664 215.2678 0 0 0 00000000082.11821 511.6752 0 00000000000461.6218 1071.3080000000000000000000000000000000000000000000000000000000000000000000000000.090696 43.41275 0 0 0 0 0 0 0 0 0 0000.013868 10.71322 0 0 0 0 0 0 0 000000.130286 133.9937 0 0 0 0 0 00000007.873598 272.3767 0 0 0 000000000142.6205 658.6464 0 00000000000397.1871 1005.7390000000000000000000000000000000000000000000000000000000000000000000000000.162813 38.17514 0 0 0 0 0 0 0 0 0 000010.82289 0 0 0 0 0 0 0 00000037.73646 0 0 0 0 0 000000023.4047 252.7254 0 0 0 000000000133.5067 689.4006 0 00000000000444.5606 1042.4620000000000000000000000000000000000000000000000000000000000000000000000000.086804 57.7144 0 0 0 0 0 0 0 0 0 00003.691559 0 0 0 0 0 0 0 000000.281078 58.27321 0 0 0 0 0 00000005.408691 201.4519 0 0 0 000000000241.6665 811.8714 0 00000000000423.6113 1050.865
RS-2 Non Peak
julh45 julh65 augh45 augh65 seph45 seph65 oelh45 oelh65 novh45 novh65 deeh45 deeh6500000000000 00000000000000000000000000000000000000000000000000000000000000.066415 61.18675 0 0 0 0 0 0 0 0 0 0000.10366 19.26707 0 0 0 0 0 0 0 000000.814529 132.4762 0 0 0 0 0 00000007.76922 259.7171 0 0 0 000000000148.7559 666.7537 0 00000000000594.6061 1216.4160000000000000000000000000000000000000000000000000000000000000000000000000.301016 145.1459 0 0 0 0 0 0 0 0 0 000056.43836 0 0 0 0 0 0 0 000000.337015 127.322 0 0 0 0 0 00000005.076538 268.6941 0 0 0 000000000168.1163 699.5429 0 00000000000492.2664 1129.7350000000000000000000000000000000000000000000000000000000000000000000000000.038666 46.58707 0 0 0 0 0 0 0 0 0 00003.697975 0 0 0 0 0 0 0 00000045.14888 0 0 0 0 0 000000010.50162 262.8167 0 0 0 000000000191,4802 728.3354 0 00000000000514.9505 1124.6070000000000000000000000000000000000000000000000000000000000000000000000000.431291 67.78478 0 0 0 0 0 0 0 0 0 000025.36768 0 0 0 0 0 0 0 000000.371516 55.70648 0 0 0 0 0 000000010,6444 303.9418 0 0 0 000000000110.6006 659.2444 0 00000000000204.1648 769.0728000000000000000000000000000000000000000000000000000000000000000000000000038.02532 0 0 0 0 0 0 0 0 0 000013.97831 0 0 0 0 0 0 0 000001.047133 93.14016 0 0 0 0 0 000000023.31251 263.5225 0 0 0 000000000135.2924 698.0036 0 00000000000304.2122 903,3605000000000000000000000000000000000000000000000000000000000000000000000000
R8-2 Non Peak
julh45 julh65 augh45 aU9h65 seph45 seph65 octh45 octh65 novh45 novh65 dech45 dech65
0 54.84076 0 0 0 0 0 0 0 0 0 0
0 0 0 8.95342 0 0 0 0 0 0 0 0
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RS-2 Non Peak
julh45 julh65 augh45 augh65 seph45 seph65 oclh45 oclh65 novh45 novh65 deeh45 dech6500000000000 0000000000000000000000000000000000000000000000000000000000000034.40333 0 0 0 0 0 0 0 0 0 00000.173792 0 0 0 0 0 0 0 000000.086891 56.94075 0 0 0 0 0 00000001.91483 167.6258 0 0 0 000000000167.4365 626.285 0 00000000000279.7076 888.3189000000000000000000000000000000000000000000000000000000000000000000000000030.0619 0 0 0 0 0 0 0 0 0 00005.414189 0 0 0 0 0 0 0 000000.070834 94.35107 0 0 0 0 0 00000005.364196 219.8108 0 0 0 000000000113.1432 656.9509 0 00000000000344.4063 953.23540000000000000000000000000000000000000000000000000000000000000000000000000.378788 41.87538 0 0 0 0 0 0 0 0 0 00002.706245 0 0 0 0 0 0 0 000000.077809 72.68052 0 0 0 0 0 00000005.558299 310.0053 0 0 0 00000000094.21901 590.0569 0 00000000000520.7223 1128.432000000000000000000000000000000000000000000000000000000000000000000000000016.16114 0 0 0 0 0 0 0 0 0 00002.429238 0 0 0 0 0 0 0 000000.097281 75.03268 0 0 0 0 0 00000004.002345 262.6242 0 0 0 000000000109.7974 637.0204 0 00000000000362.7981 950.3733000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
RS-2 Non Peak
julh45 julh65 augh45 augh65 seph45 seph65 oelh45 oelh65 novh45 novh65 deeh45 dech65
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
RS-2 Non Peak
jann45 jann65 febn45 febn65 mam45 mam65 apm45 aprn65 mayn45 mayn65 junn45 junn65
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
RS-2 Non Peak
jann45 jann65 febn45 febn65 mam45 mam65 apm45 apm65 mayn45 mayn65 junn45 junn6500000000000 0000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
0 0 0 0 0 0 0 0 0 0 0 0000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
0 0 0 0 0 0 0 0 0 0 0 0000000000000000000000000000000000000000000000000000000000000000000000000
0 0 0 0 0 0 0 0 0 0 0 0000000000000000000000000000000000000000000000000000000000000000000000000
0 0 0 0 0 0 0 0 0 0 0 0000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
RS-2 Non Peak
jann45 jann65 febn45 febn65 marn45 marn65 aprn45 aprn65 mayn45 mayn65 junn45 junn65
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
RS-2 Non Peak
jann45 jann65 febn45 febn65 marn45 marn65 aprn45 aprn65 mayn45 mayn65 junn45 junn65
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 Ð 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
RS-2 Non Peak
jann45 jann65 febn45 febn65 mam45 mam65 apm45 apm65 mayn45 mayn65 junn45 junn6500000000000 0000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000562.8906 1202.812 0 0 0 0 0 0 0 0 0 000441.3149 1026.146 0 0 0 0 0 0 0 00000206.8773 740.8765 0 0 0 0 0 000000080.37878 615.1236 0 0 0 00000000010.51696 341.533 0 000000000000.783026 179.8273000000000000000000000000000000000000000000000000000000000000000000000000562.8906 1202.812 0 0 0 0 0 0 0 0 0 000441.3149 1026.146 0 0 0 0 0 0 0 00000206.8773 740.8765 0 0 0 0 0 000000080.37878 615,1236 0 0 0 00000000010.51696 341.533 0 000000000000.783026 179.8273
RS-2 Non Peak
jann45 jann65 febn45 febn65 marn45 marn65 aprn45 aprn65 mayn45 mayn65 junn45 junn65
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
RS-2 Non Peak
juln45 juln65 augn45 augn65 sepn45 sepn65 octn45 ocln65 novn45 novn65 decn45 decn65
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
RS-2 Non Peak
juln45 juln65 augn45 augn65 sepn45 sepn65 oct5 octn65 novn45 novn65 decn45 decn6500000000000 0000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
RS-2 Non Peak
juln45 juln65 augn45 augn65 sepn45 sepn65 ocln45 ocln65 novn45 novn65 decn45 decn65
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0000000000000
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0000000000000
0 0 0 0 0 0 0 0 0 0 0 0000000000000
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0000000000000
0 0 0 0 0 0 0 0 0 0 0 0000000000000
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0000000000000
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0000000000000
0 0 0 0 0 0 0 0 0 0 0 0000000000000
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0000000000000
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0000000000000
0 0 0 0 0 0 0 0 0 0 0 0000000000000
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0000000000000
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0000000000000
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
RS-2 Non Peak
juln45 juln65 augn45 augn65 sepn45 sepn65 octn45 octn65 novn45 novn65 decn45 decn65
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 O'0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
RS-2 Non Peak
juln45 juln65 aU9n45 augn65 sepn45 sepn65 oct45 octn65 novn45 novn65 decn45 decn6500000000000 00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000004.071858 267,8387 0 0 0 000000000114.6406 630.473 0 00000000000375.0049 973.913000000000000000000000000000000000000000000000000000000000000000000000000032.23089 0 0 0 0 0 0 0 0 0 00003.01824 0 0 0 0 0 0 0 000000.060448 60.85712 0 0 0 0 0 00000004.071858 267.8387 0 0 0 000000000114.6406 630.473 0 00000000000375.0049 973.913000000000000000000000000000000000000000000000000000000000000000000000000
RS-2 Non Peak
juln45 juln65 augn45 augn65 sepn45 sepn65 oct45 octn65 novn45 novn65 decn45 decn65
o 32.23089 0 0 0 0 0 0 0 0 0 0
0 0 0 3.01824 0 0 0 0 0 0 0 0
0 0 0 0 0.060448 60.85712 0 0 0 0 0 0
0 0 0 0 0 0 4.071858 267.8387 0 0 0 0
0 0 0 0 0 0 0 0 114.6406 630.473 0 0
0 0 0 0 0 0 0 0 0 0 375.0049 973.913
RS.2 Non Peak
JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
1 0 0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0 0 0
0 0 0 1 0 0 0 0 0 0 0 0
0 0 0 0 1 0 0 0 0 0 0 0
0 0 0 0 0 1 0 0 0 0 0 0
0 0 0 0 0 0 1 0 0 0 0 0
0 0 0 0 0 0 0 1 0 0 0 0
0 0 0 0 0 0 0 0 1 0 0 0
0 0 0 0 0 0 0 0 0 1 0 0
0 0 0 0 0 0 0 0 0 0 1 0
0 0 0 0 0 0 0 0 0 0 0 1
1 0 0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0 0 0
0 0 0 1 0 0 0 0 0 0 0 0
0 0 0 0 1 0 0 0 0 0 0 0
0 0 0 0 0 1 0 0 0 0 0 0
0 0 0 0 0 0 1 0 0 0 0 0
0 0 0 0 0 0 0 1 0 0 0 0
0 0 0 0 0 0 0 0 1 0 0 0
0 0 0 0 0 0 0 0 0 1 0 0
0 0 0 0 0 0 0 0 0 0 1 0
0 0 0 0 0 0 0 0 0 0 0 1
1 0 0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0 0 0
0 0 0 1 0 0 0 0 0 0 0 0
0 0 0 0 1 0 0 0 0 0 0 0
0 0 0 0 0 1 0 0 0 0 0 0
0 0 0 0 0 0 1 0 0 0 0 0
0 0 0 0 0 0 0 1 0 0 0 0
0 0 0 0 0 0 0 0 1 0 0 0
0 0 0 0 0 0 0 0 0 1 0 0
0 0 0 0 0 0 0 0 0 0 1 0
0 0 0 0 0 0 0 0 0 0 0 1
1 0 0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0 0 0
0 0 0 1 0 0 0 0 0 0 0 0
0 0 0 0 1 0 0 0 0 0 0 0
0 0 0 0 0 1 0 0 0 0 0 0
0 0 0 0 0 0 1 0 0 0 0 0
0 0 0 0 0 0 0 1 0 0 0 0
0 0 0 0 0 0 0 0 1 0 0 0
0 0 0 0 0 0 0 0 0 1 0 0
0 0 0 0 0 0 0 0 0 0 1 0
0 0 0 0 0 0 0 0 0 0 0 1
1 0 0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0 0 0
0 0 0 1 0 0 0 0 0 0 0 0
0 0 0 0 1 0 0 0 0 0 0 0
0 0 0 0 0 1 0 0 0 0 0 0
0 0 0 0 0 0 1 0 0 0 0 0
0 0 0 0 0 0 0 1 0 0 0 0
0 0 0 0 0 0 0 0 1 0 0 0
0 0 0 0 0 0 0 0 0 1 0 0
0 0 0 0 0 0 0 0 0 0 1 0
0 0 0 0 0 0 0 0 0 0 0 1
1 0 0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0 0 0
0 0 0 1 0 0 0 0 0 0 0 0
0 0 0 0 1 0 0 0 0 0 0 0
0 0 0 0 0 1 0 0 0 0 0 0
RS-2 Non Peak
JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
0 0 0 0 0 0 1 0 0 0 0 0
0 0 0 0 0 0 0 1 0 0 0 0
0 0 0 0 0 0 0 0 1 0 0 0
0 0 0 0 0 0 0 0 0 1 0 0
0 0 0 0 0 0 0 0 0 0 1 0
0 0 0 0 0 0 0 0 0 0 0 1
1 0 0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0 0 0
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JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
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JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
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JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
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JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
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1 0 0 0 0 0 0 0 0 0 0 0010000000000001000000000
JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC00010000000 0000010000000000001000000000000100000000000010000000000001000000000000100000000000010000000000001
1 0 0 0 0 0 0 0 0 0 0 0010000000000001000000000000100000000000010000000000001000000000000100000000000010000000000001000000000000100000000000010000000000001
1 0 0 0 0 0 0 0 0 0 0 0010000000000001000000000000100000000000010000000000001000000000000100000000000010000000000001000000000000100000000000010000000000001
1 0 0 0 0 0 0 0 0 0 0 0010000000000001000000000000100000000000010000000000001000000000000100000000000010000000000001000000000000100000000000010000000000001
1 0 0 0 0 0 0 0 0 0 0 0010000000000001000000000000100000000000010000000000001000000000000100000000000010000000000001000000000000100000000000010000000000001
1 0 0 0 0 0 0 0 0 0 0 0010000000000001000000000000100000000000010000000000001000000000000100000000000010000000000001000000000000100000000000010000000000001
1 0 0 0 0 0 0 0 0 0 0 0010000000000001000000000000100000000
JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC00001000000 0000001000000
0 0 0 0 0 0 1 0 0 0 0 0000000010000
0 0 0 0 0 0 0 0 1 0 0 0
0 0 0 0 0 0 0 0 0 1 0 0000000000010000000000001
1 0 0 0 0 0 0 0 0 0 0 0010000000000
0 0 1 0 0 0 0 0 0 0 0 0000100000000000010000000
0 0 0 0 0 1 0 0 0 0 0 0
0 0 0 0 0 0 1 0 0 0 0 0
0 0 0 0 0 0 0 1 0 0 0 0
0 0 0 0 0 0 0 0 1 0 0 0000000000100000000000010
0 0 0 0 0 0 0 0 0 0 0 1
1 0 0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0 0 0000100000000
0 0 0 0 1 0 0 0 0 0 0 0000001000000000000100000000000010000000000001000
0 0 0 0 0 0 0 0 0 1 0 0
0 0 0 0 0 0 0 0 0 0 1 0000000000001
1 0 0 0 0 0 0 0 0 0 0 0010000000000001000000000
0 0 0 1 0 0 0 0 0 0 0 0
0 0 0 0 1 0 0 0 0 0 0 0000001000000
0 0 0 0 0 0 1 0 0 0 0 0000000010000000000001000000000000100000000000010
0 0 0 0 0 0 0 0 0 0 0 1
Date THERMS
1981.01 769.10
1981.02 717.63
1981.03 526.50
1981.04 404.99
1981.05 261.07
1981.06 179.56
1981.07 153.19
1981.08 151.33
1981.09 158.08
1981.1 346.18
1981.11 464.33
1981.12 678.30
1982.01 946.21
1982.02 849.68
1982.03 603.18
1982.04 500.57
1982.05 282,25
1982.06 203.13
1982.07 156.46
1982.08 140.26
1982.09 199.37
1982.1 360.46
1982.11 540.79
1982.12 751.77
1983.01 815.97
1983.02 615.98
1983.03 467.61
1983.04 440.43
1983.05 302.01
1983.06 182.70
1983.07 156.38
1983.08 158.55
1983.09 187.54
1983.1 262.27
1983.11 377 .32
1983.12 706.09
1984.01 921.09
1984.02 780.94
1984.03 572.04
1984.04 422.71
1984.05 303.37
1984.06 192.20
1984.07 146.72
1984.08 143.07
1984.09 167.72
1984.1 308.48
1984.11 523.50
1984.12 741.81
1985.01 868.46
1985.02 886.84
1985.3 622,92
1985.04 386.98
1985.05 226.39
1985.06 159.84
1985.07 134.41
1985.08 155.08
1985.09 179.23
1985.1 307.82
1985.11 473.46
1985.12 840.48
1986.01 899.93
1986.02 591.81
1986.3 389.0
1986.04 299.70
1986.05 257,73
1986.06 155.72
1986.07 141.80
1986.08 133.27
1986.09 144.33
1986.1 236.56
1986.11 325.77
1986.12 554.20
1987.01 744.65
1987.02 572.50
1987.03 435.53
1987:04 307.29
PRICE OclMarP SummerP WinlerP Price2MA
45.872 45.872 0 45.872
45.872 45.872 0 45.872
45.872 45.872 0 45.872
56.851 0 56.851 056.851 0 56.851 056.851 0 56.851 056.851 0 56.851 056.851 0 56.851 056.851 0 56.851 063.376 63.376 63.376 063.376 63.376 63.376 0
53.701 53.701 0 53.701
53.701 53.701 0 53.701
55.479 55.479 0 55.479
55.479 55.479 0 55.47965.893 0 65.893 065.893 0 65.893 065.893 0 65.893 065.893 0 65.893 065.893 0 65.893 065.893 0 65.893 065.851 65.857 65.857 056.06481 56.06481 56.06481 0
58.317 58.317 0 58.317
58.27262 58.27262 0 58.27262
58.44133 58.44133 0 58.44133
58.65974 58.65974 0 58.65974
62.66077 0 62.66077 0
60.91704 0 60.91704 061.651 0 61.651 061.651 0 61.651 061.651 0 61.651 061.651 0 61.651 0
59.28708 59.28708 59.28708 0
58.18181 58.78181 58.78181 0
53.19849 53.19849 0 53.19849
53.05832 53.05832 0 53.05832
53.14094 53.14094 0 53.14094
53.33921 53.33921 0 53.33921
62.42714 0 62.42714 062.83155 0 62.83155 063.572 0 63.572 062.857 0 62.857 062.857 0 62.857 062.857 0 62.857 062.09285 62.09285 62.09285 061.51417 61.51417 61.51417 0
54.00058 54.00058 0 54.00058
53.91722 53.91722 0 53.91722
53.9071 53.9071 0 53.9071
54.1096 54.10966 0 54.10966
59.58405 0 59.58405 0
60.06672 0 60.06672 060.32 0 60.32 059.381 0 59.381 059.381 0 59.381 059.381 0 59.381 0
55.84689 55.84689 55.84689 0
55.36203 55.36203 55.36203 0
48.48748 48.48748 0 48.48748
48.45415 48.45415 0 48.45415
48.69945 48.69945 0 48.69945
49.07276 49.07276 0 49.07276
50.56037 0 50.56037 0
50.83566 0 50.83566 051.403 0 51.403 051.403 0 51.403 051.403 0 51.403 051.403 0 51.403 051.01151 51.01151 51.01151 050.4251 50.4251 50.4251 0
43.91006 43.91006 0 43.91006
41.7874 41.7814 0 41.7874
43.38061 43.3861 0 43.38061
43.61352 43.61352 0 43.61352
50.67328 0 50.67328 0
60.358
60.358
49.7865
49.7865
50.6755
50.6755
61.372
61.372
61.372
61.372
61.372
61.372
64.6165
59.72041
56.009
55.98681
56.96017
57.06937
64.27689
63.40502
63.772
63.772
63.772
63.772
62.57204
57.42331
55.75775
55.66547
55.79113
55.99948
62.54396
61.87429
62.6115
62.254
62.254
62.254
60.68997
60.14799
53.59954
53.48777
53.52402
53.72444
61.0056
61.44913
61.946
61.119
61.119
61.119
58.96987
58.4381
51.24403
51.18568
51.30327
51.59121
55.07221
55.45119
55.8615
55.392
55.392
55.392
53.4292
52.89357
46.19877
45.12077
46.04003
46.34314
50.61682
Price3MA TREND81 TREND92 TRENDOO WTREND81 WTREND92 WTRENDOO
62.191
58.92694
52.63
52.61521
53.26411
53.33691
61.80159
61.22035
61.465
61.465
61.465
61.465
62.84003
59.40754
55.07217
55.01065
55.68709
55.82598
63.6603
63.21386
63.70533
63.467
63.467
63.467
62.41231
58.78693
55.17203
55.08272
55.16312
55.36954
61.55732
61.27177
61.84767
61.29633
61.29633
61.29633
59.07561
58.55267
51.89552
51.8099
51.91583
52.17388
57.52385
57.91131
58.43167
57.88033
57.88033
57.8833
56.31708
55.7671
48.79937
48.05292
48.66239
48.93198
53.6059
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7
8
9
10
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14
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16
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20
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23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
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53
54
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71
72
73
74
75
76
1
2
3
o
o
o
o
o
o
4
5
6
7
8
9
o
o
o
o
o
o
10
11
12
13
14
15
o
o
o
o
o
o
16
17
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21
o
o
o
o
o
o
22
23
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o
o
o
o
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o
28
29
30
31
32
33
o
o
o
o
o
o
34
35
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37
38
39
o
Date THERMS
1987.05 154.04
1987.06 137.60
1987.07 126.53
1987.08 132.43
1987.09 137.59
1987.1 180.61
1987.11 311.85
1987.12 526.06
1988.01 744.71
1988.02 606.59
1988.03 441.25
1988.4 348.78
1988.05 206.51
1988.06 139.48
1988.07 117.81
1988.08 119.35
1988.09 150.53
1988.1 163.99
1988.11 294.25
1988.12 602.26
1989.01 774.32
1989.02 790.65
1989.03 547.37
1989.04 322.30
1989.05 175.65
1989.06 152.34
1989.07 136.93
1989.08 123.57
1989.09 150.12
1989.1 197.37
1989.11 364.98
1989.12 557.18
1990.01 644.18
1990.02 622.28
1990.03 460.13
1990.04 271.69
1990.05 204.65
1990.06 168.47
1990.07 126.42
1990.08 125.49
1990.09 130.08
1990.1 191.89
199.11 372.00
1990.12 593.57
1991.01 914.21
1991.02 597.51
1991.03 409.49
1991.04 351.25
1991.05 27778
1991.06 169.57
1991.07 123.88
1991.08 125.79
1991.09 136.54
1991.1 164.86
1991.11 407.10
1991.12 590.70
1992.01 688.24
1992.02 499.00
1992.03 336.34
1992.04 251.96
1992.05 161.71
1992.06 117.73
1992.07 128.49
1992.08 127.79
1992.09 144.08
1992.1 163.10
1992.11 346.94
1992.12 660.91
1993.01 781.51
1993.02 675.43
1993.03 586.58
1993.04 326.29
1993.05 221.35
1993.06 141.97
1993.07 135.59
1993.08 125.60
PRICE
50.133
50.133
49.075
49.075
49.075
50.396
49.61664
43.99699
43.76035
43.88999
44.1519
49.46906
50.32747
50.396
50.396
50.396
50.396
45.426
44.72998
38.92502
38.76857
38.75727
38.99561
44.60142
45.426
45.426
44.477
44.477
44.477
44.477
43.49475
38.03298
37.9302
37.95336
38.19348
43.90364
44.42761
44.477
47.682
47.682
47.682
47.682
46.67727
41.19132
40.94079
41.18661
41.51242
46.7463
47.07355
47.682
47.152
47.152
47.152
47.152
46.04656
40.66479
40.56307
40.7967
41.20762
46.70391
47.152
47.152
46.891
46.891
46.891
46.891
45.97067
40.32754
40.22854
40.31375
40.40884
46.04994
46.68136
46.891
52.359
52.359
OctMarP SummerP WinterP Prie2MA Price3MA TREND81 TREND92 TRENDOO WTREND81 WTREND92 WTRENDOOo 50.133 0 50.48433 53.67846 77 0o 50.133 0 50.768 53.952 78 0o 49.075 0 50.239 53.28633 79 0o 49.075 0 50.239 53.28633 80 0o 49.075 0 50.239 53.28633 81 050.396 50.396 0 50.70376 52.41813 82 4049.61664 49.61664 0 50.02087 51.80126 83 4143.99699 0 43.99699 43.95353 45.46484 84 4243.76035 0 43.76035 42.77387 44.6673 85 4343.88999 0 43.88999 43.6353 45.32335 86 4444.1519 0 44.1519 43.88271 45.61273 87 45o 49.46906 0 50.07117 50.23424 88 0o 50.32747 0 50.23023 50.43204 89 0o 50.396 0 50.2645 50.644 90 0o 50.396 0 49.7355 50.29133 91 0o 50.396 0 49.7355 50.29133 92 0o 50.396 0 49.7355 50.29133 93 045.426 45.426 0 47.911 48.9445 94 4644.72998 44.72998 0 47.17331 48.25724 95 4738.92502 0 38.92502 41.46101 42.27736 96 4838.7687 0 38.76857 41.26446 41.43877 97 4938.75727 0 38.75727 41.32363 42.00929 98 5038.99561 0 38.99561 41.57376 42.25368 99 51o 44.60142 0 47.03524 48.24792 100 0o 45.426 0 47.87673 48.62682 101 0o 45.426 0 47.911 48.65167 102 0o 44.477 0 47.436 47.98267 103 0o 44.477 0 47.436 47.98267 104 0o 44.477 0 47.4365 47.98267 105 044.477 44.477 0 44.9515 46.76633 106 5243.49475 43.49475 0 44.11236 45.94712 107 5338.03298 0 38.03298 38.479 40.31833 108 5437.9302 0 37.9302 38.34939 40.15304 109 5537.95336 0 37.95336 38.35532 40.20021 110 5638.19348 0 38.19348 38.59455 40.447 111 57o 43.90364 0 44.25253 45.99137 112 0o 44.42761 0 44.92681 46.72703 113 0o 44.477 0 44.9515 46.76633 114 0o 47.682 0 46.0795 47.51833 115 0o 47.682 0 46.0795 47.51833 116 0o 47.682 0 46.0795 47.51833 117 0o 47.682 0 46.0795 45.86167 118 58o 46.67727 0 45.08601 44.96733 119 5941.19132 0 41.19132 39.61215 39.38311 120 6040.94079 0 40.94079 39.4355 39.21319 121 6141.18661 0 41.18661 39.56999 39.29908 122 6241.51242 0 41.51242 39.85295 39.56717 123 63o 46.7463 0 45.32497 45.08379 124 0o 47.07355 0 45.75058 45.64239 125 0o 47.682 0 46.0795 45.86167 126 0o 47.152 0 47.417 46.437 127 0o 47.152 0 47.417 46.437 128 0o 47.152 0 47.417 46.437 129 0o 47.152 0 47.417 46.437 130 64o 46.04656 0 46.36191 45.40619 131 6540.66479 0 40.66479 40.92806 39.96303 132 6640.56307 0 40.56307 40.75193 39.81135 133 1 67 140.7967 0 40.7967 40.99165 39.97889 134 2 68 241.20762 0 41.20762 41.36002 40.30451 135 3 69 3o 46.70391 0 46.72511 45.78462 136 4 0 0o 47.152 0 47.11278 46.21772 137 5 0 0o 47.152 0 47.417 46.437 138 6 0 0o 46.891 0 47.0215 47.24167 139 7 0 0o 46.891 0 47.0215 47.24167 140 8 0 0o 46.891 0 47.0215 47.24167 141 9 0 046.891 46.891 0 47.0215 47.24167 142 10 70 445.97067 45.97067 0 46.00861 46.2315 143 11 71 540.32754 0 40.32754 40.49617 40.72788 144 12 72 640.22854 0 40.22854 40.3958 40.57747 145 13 73 740.31375 0 40.31375 40.55522 40.76568 146 14 74 840.40884 0 40.40884 40.80823 41.04296 147 15 75 9o 46.04994 0 46.37692 46.50005 148 16 0 0o 46.68136 0 46.91668 46.96897 149 17 0 0o 46.891 0 47.0215 47.24167 150 18 0 0o 52.359 0 49.625 48.80067 151 19 0 0o 52.359 0 49.625 48.80067 152 20 0 0
Date THERMS
1993.09 138.54
1993.1 175.47
1993.11 368.42
1993.12 635.64
1994.01 614.56
1994.02 592.03
1994.03 438.93
1994.04 304.20
1994.05 176.50
1994.06 129.87
1994.07 116.50
1994.08 105.86
1994.09 126.09
1994.1 173.80
1994.11 383.09
1994.12 634.48
1995.01 683.52
1995.2 494.65
1995.03 419.24
1995.4 347.00
1995.05 237.50
1995.06 163.94
1995.07 126.54
1995.08 114.09
1995.09 13o.2
1995.1 195.47
1995.11 350.80
1995.12 445.36
1996.1 624.98
1996.02 659.77
1996.3 462.08
1996.04 329.50
1996.05 239.60
1996.06 153.84
1996.07 110.91
1996.08 117.72
1996.09 141.30
1996.1 191.74
1996.11 378.04
1996.12 545.89
1997.01 613.53
1997.02 619.95
1997.03 456.70
1997.04 335.70
1997.05 220.31
1997.06 123.96
1997.07 114.92
1997.08 115.88
1997.09 133.12
1997.1 175.09
1997.11 316.89
1997.12 552.13
1998.01 682.01
1998.2 496.52
1998.03 461.08
1998.04 348.20
1998.05 206.99
1998.06 159.33
1998.07 121.20
1998.08 113.44
1998.09 119.68
1998.1 166.75
1998.11 327.75
1998.12 544.43
1999.01 682.45
1999.2 573.35
199.03 485.45
1999.04 393.26
1999.05 264.88
1999.06 146.31
1999.07 117.46
1999.08 109.47
1999.09 133.64
1999.1 170.03
1999.11 261.36
1999.12 465.92
PRICE OctMarP Summer? Winter? Price2MA Prie3MA TREND81 TREND92 TRENDOO WTREND61 WTREND92 WTRENDOO52.359 0 52.359 0 49.625 48.80067 153 21 0 052.359 52.359 52.359 0 49.625 48.80067 154 22 76 1049.06526 49.06526 49.06526 0 47.51797 47.0275 155 23 77 11
33.39618 33.39618 0 33.39618 36.86186 38.1295 156 24 78 1233.61477 33.61477 0 33.61477 36.92165 36.13546 157 25 79 13
33.86548 33.86548 0 33.86548 37.08961 38.32531 158 26 80 1436.25148 36.25146 0 36.25146 38.33016 39.28931 159 27 61 1549.89107 0 49.89107 0 47.9705 47.54831 160 28 0 052.359 0 52.359 0 49.52018 48.73079 161 29 0 052.359 0 52.359 0 49.625 48.60067 162 30 0 051.849 0 51.649 0 52.104 50.36633 163 31 0 051.849 0 51.849 0 52.104 50.36633 164 32 0 051.649 0 51.849 0 52.104 50.36633 165 33 0 051.649 51.649 51.849 0 52.104 50.36633 166 34 82 16
50.61046 50.81046 50.81046 0 49.93786 46.61546 167 35 83 17
45.31226 45.31226 0 45.31226 39.35422 39.6786 168 36 64 1845.26432 45.26432 0 45.26432 39.43954 39.70254 169 37 85 19
45.50117 45.50117 0 45.50117 39.66332 39.89346 170 36 86 20
45.65534 45.65534 0 45.65534 40.95341 40.77189 171 39 87 2150.92845 0 50.92845 0 50.40976 48.95649 172 40 0 051.50591 0 51.50591 0 51.93245 50.16209 173 41 0 051.849 0 51.649 0 52.104 50.36633 174 42 0 049.993 0 49.993 0 50.921 51.40033 175 43 0 049.993 0 49.993 0 50.921 51.40033 176 44 0 049.993 0 49.993 0 50.921 51.40033 177 45 0 049.993 49.993 49.993 0 50.921 51.40033 178 46 68 2249.0589 49.0589 49.0569 0 49,93468 49.64467 179 47 89 23
43.74004 43.74004 0 43.74004 44.52615 40.81616 180 48 90 2443.46643 43.46643 0 43.46643 44.36537 40.78164 181 49 91 25
43.43065 43.43065 0 43.43065 44.46591 40.93243 182 50 92 2643.7056 43.7056 0 43.7056 44.68047 41.87081 163 51 93 2749.13896 0 49.13896 0 50.0337 49.98616 164 52 0 049.63364 0 49.63384 0 50.56987 51.16625 165 53 0 049.993 0 49.993 0 50.921 51.40033 186 54 0 049.634 0 49.834 0 49.9135 50.557 187 55 0 049.834 0 49.634 0 49.9135 50.5587 188 56 0 049.834 0 49.834 0 49.9135 50.55887 189 57 0 049.834 49.634 49.834 0 49.9135 50.55867 190 58 94 26
48.61061 48.81061 48.81061 0 46.93476 49.55999 191 59 95 2943.40571 43.40571 0 43.40571 43.57267 44.15267 192 60 96 30
43.32006 43.32006 0 43.32006 43.39325 44.01694 193 61 97 3143.31292 43.31292 0 43.31292 43.37179 44.06158 194 62 96 3243.5574 43.5574 0 43.5574 43.6315 44.30611 195 63 99 3348.95559 0 46.95559 0 49.04726 49.67433 196 64 0 049.63369 0 49.63369 0 49.63377 50.25761 197 65 0 049.634 0 49.634 0 49.9135 50.55667 196 66 0 049.263 0 49.263 0 49.5485 49.69667 199 67 0 049.263 0 49.263 0 49.5485 49.69667 200 66 0 049.263 0 49.263 0 49.5485 49.69667 201 69 0 049.263 49.263 49.263 0 49.5465 49.69667 202 70 100 3448.46147 48.46147 48.46147 0 46.63604 48.77699 203 71 101 3542.82594 42.82594 0 42.82594 43.11582 43.32369 204 72 102 3642.67969 42.67969 0 42.67969 42.99989 43.1554 205 73 103 3742.91195 42.91195 0 42.91195 43.11244 43.21651 206 74 104 3642.97758 42.97756 0 42.97756 43.26749 43.41352 207 75 105 3948.33614 0 48.33814 0 46.64687 48.6109 208 76 0 049.18962 0 49.18962 0 49.41166 49.48572 209 77 0 049.263 0 49.263 0 49.5485 49.69667 210 78 0 049.309 0 49.309 0 49.266 49.46867 211 79 0 049.309 0 49.309 0 49.286 49.46867 212 60 0 049.309 0 49.309 0 49.286 49.46667 213 81 0 049.309 49.309 49.309 0 49.286 49.46667 214 82 106 4048.46201 48.46201 48.46201 0 48.46174 48.57803 215 83 107 4142.86279 42.66279 0 42.88279 42.65436 43.03814 216 84 108 4242.72529 42.72529 0 42.72529 42.70249 42.90835 217 85 109 4342.64351 42.84351 0 42.64351 42.87773 43.02279 218 86 110 4442.97743 42.97743 0 42.97143 42.9715 43.1706 219 87 111 4548.24111 0 48.24111 0 48.28962 48.51161 220 88 0 048.71675 0 48.77675 0 46.98319 49.20002 221 89 0 049.309 0 49.309 0 49.286 49.46867 222 90 0 049.309 0 49.309 0 49.309 49.29367 223 91 0 053.16 0 53.16 0 51.2345 50.57133 224 92 0 053.16 0 53.16 0 51.2345 50.57133 225 93 0 053.16 53.16 53.16 0 51.2345 50.57133 226 94 112 46 152.53165 52.53165 52.53165 0 50.49683 49.81836 227 95 113 47 246.82756 46.82758 0 46.82758 44,85518 44.17871 228 96 114 48 3
Dale THERMS
2000.01 674.69
2000.02 528.38
2000.3 440.02
2000.04 324.89
2000.05 168.06
2000.06 139.59
2000.07 112.50
2000.08 109.00
2000.09 134.45
2000.1 168.47
2000.11 402.83
2000.12 623.97
2001.01 693.11
2001.02 691.00
2001.03 456.93
2001.04 327.22
2001.05 196.Q
2001.06 127.31
2001.07 102.68
2001.08 103.64
2001.09 117.95
2001.1 148.68
2001.11 276.71
2001.12 531.59
2002.01 650.93
2002.02 670.41
2002.03 525.89
2002.04 308.21
2002.05 222.41
2002.06 132.13
2002.07 91.89
2002.08 104.64
2002.09 121.51
2002,1 174.09
2002.11 380.02
2002.12 484.66
2003.01 518.59
2003.02 487.9464
2003.03 412.1896
2003.04 299.9025
2003.05 234.32
2003.06 117.85
2003.07 93.94146
2003.08 89.39965
2003.09 111.7705
2003.1 125.3233
2003.11 316.6099
2003.12 500.5366
2004.01 679.0138
2004.02 605.8325
2004.03 414.5439
2004.04 230.1809
2004.05 162.6268
2004.06 126.6221
2004.07 96.72175
2004.08 167.7282
2004.09 174.2548
2004.1 176.0021
2004.11 351.6596
2004.12 550.5843
2005.01 639.9795
2005.02 565.471
2005.03 400.5658
2005.04 351.632
2005.05 207.4999
2005.06 167.0439
2005.07 160.4039
2005.08 156.8025
2005.09 181.4788
2005.1 194.223
2005.11 335.9465
2005.12 667.4846
2006.01 639.923
2006.02 600.9544
2006.03 496.648
2006.04 367.2225
PRICE
46.58343
46.75746
46.91859
52.32469
53.16
53.16
68.311
68.311
68.311
68.311
67.21688
61.78552
61.71773
75.34261
75.65693
81.08914
81.934
81.934
83.797
83.797
83.797
83.797
83.19458
773896
77.24338
77.22445
77.39825
83.03406
83.57802
83.797
60.083
60.083
60.083
60.083
59.05363
53.75284
53.69561
53.74695
53.90665
59.35914
59.76473
60.083
81.164
81.164
81.164
81.164
80.36367
74.80609
74.58344
74.65886
74.98181
80.87908
81.164
81.164
89.292
89.292
89.292
89.292
88.35485
82.85709
82.74952
82.83682
83~1455
88.35495
89.21346
89.292
89.292
89,292
89.292
113.515
112.6357
106.9452
106.9726
107.0155
107.1637
112.5255
OclMarP SummerP WinlerP Price2MA Price3MA TREND81 TREND92 TRENDOO WTREND81 WTREND92 WTRENDOO46.58343 0 46.58343 44.65436 43.99614 229 97 1 115 49 446.75746 0 46.75746 44.80048 44.17097 230 98 2 116 50 546.91859 0 46.91859 44.94801 44.2912 231 99 3 117 51 6o 52.32469 0 50.2829 49.63465 232 100 4 0 0 0o 53.16 0 50.96838 50.37546 233 101 5 0 0 0o 53.16 0 51.2345 50.57733 234 102 6 0 0 0o 68.311 0 58.81 55.643 235 103 7 0 0 0o 68.311 0 60.7355 56.92667 236 104 8 0 0 0o 68.311 0 60.7355 56.92667 237 105 9 0 0 068.311 68.311 0 60.7355 56.92667 238 106 10 118 52 767.21688 67.21688 0 59.87427 56.07018 239 107 11 119 53 861.78552 0 61.78552 54.30655 50.49863 240 108 12 120 54 961.71773 0 61.71773 54.15058 50.34215 241 109 13 121 55 1075.34261 0 75.34261 61.05003 54.98119 242 110 14 122 56 1175.65693 0 75.65693 61.28776 55.18431 243 111 15 123 57 12o 81.08914 0 66.70692 60.55165 244 112 16 0 0 0o 81.934 0 67.547 61.29025 245 113 17 0 0 0o 81.934 0 67.547 61.46767 246 114 18 0 0 0o 83.797 0 76.054 67.139 247 115 19 0 0 0o 83.797 0 76.054 68.42267 248 116 20 0 0 0o 83.797 0 76.054 68.42267 249 117 21 0 0 083.797 83.797 0 76.054 68.42267 250 118 22 124 58 1383.19458 83.19458 0 75.20573 67.6477 251 119 23 125 59 14773896 0 77.3896 69.58756 62.0009 252 120 24 126 60 157724338 0 7724338 69.48056 61.84818 253 121 25 127 61 167722445 0 77.22445 76.28353 66.4415 254 122 26 128 62 177739825 0 77.39825 76.52759 66.65792 255 123 27 129 63 18o 83.03406 0 82.0616 72.1493 256 124 28 0 0 0o 83.57802 0 82.75601 72.89067 257 125 29 0 0 0o 83.797 0 82.8655 72.96367 258 126 30 0 0 0o 60.083 0 71.94 70.73033 259 127 31 0 0 0o 60.083 0 71.94 70.73033 260 128 32 0 0 0o 60.083 0 71.94 70.73033 261 129 33 0 0 060.083 60.083 0 71.94 70.73033 262 130 34 130 64 1959.05363 59.05363 0 71.1241 69.8217 263 131 35 131 65 2053.75284 0 53.75284 65.57122 64.30932 264 132 36 132 66 2153.69561 0 53.69561 65.46949 64.21891 265 133 37 133 67 2253.74695 0 53.74695 65.4857 68.77133 266 134 38 134 68 2353.90665 0 53.90665 65.65245 68.98727 267 135 39 135 69 24o 59.35914 0 71.1966 74.49412 268 136 40 0 0 0o 59.76473 0 71.67138 75.09225 269 137 41 0 0 0o 60.083 0 71.94 75.27133 270 138 42 0 0 0o 81.164 0 70.6235 75.01467 271 139 43 0 0 0o 81.164 0 70.6235 75.01467 272 140 44 0 0 0o 81.164 0 70.6235 75.01467 273 141 45 0 0 081.164 81.164 0 70.6235 75.01467 274 142 46 136 70 2580.36367 80.36367 0 69.70865 74.20396 275 143 47 137 71 2674.80609 0 74.80609 64.27947 68.64951 276 144 48 138 72 27
74.58344 0 74.58344 64.13952 68.50747 277 145 49 139 73 2874.65886 0 74.65886 64.20291 68.54342 278 146 50 140 74 2974.98181 0 74.98181 64.44423 68.76224 279 147 51 141 75 30o 80.87908 0 70.11911 74.4240 280 148 52 0 0 0o 81.164 0 70.46436 74.83558 281 149 53 0 0 0o 81.164 0 70.6235 75.01467 282 150 54 0 0 0o 89.292 0 85.228 76.8463 283 151 55 0 0 0o 89.292 0 85.228 76.84633 284 152 56 0 0 0o 89.292 0 85.228 76.84633 285 153 57 0 0 089.292 89.292 0 85.228 76.84633 286 154 58 142 76 31
88.35485 88.35485 0 84.35926 75.92405 287 155 59 143 77 3282.85709 0 82.85709 78.83159 70.47201 288 156 60 144 78 3382.74952 0 82.74952 78.66648 70.34285 289 157 61 145 79 3482.83682 0 82.83682 78.74784 70.41421 290 158 62 146 80 3583.1455 0 83.1455 79.06366 70.67799 291 159 63 147 81 36o 88.35495 0 84.61702 76.19772 292 160 64 0 0 0o 89.21346 0 85.18873 76.71406 293 161 65 0 0 0o 89.292 0 85.228 76.84633 294 162 66 0 0 0o 89.292 0 89.292 86.58267 295 163 67 0 0 0o 89.292 0 89.292 86.58267 296 164 68 0 0 0o 89.292 0 89.292 86.58267 297 165 69 0 0 0113.515 113.515 0 101.4035 94.657 298 166 70 148 82 37112.6357 112.6357 0 100.4953 93.78473 299 167 71 149 83 38106.9452 0 106.9452 94.90116 88.2028 300 168 72 150 84 39
106.9726 0 106.9726 94.86105 88.10185 301 169 73 151 85 40107.0155 0 107.0155 94.92618 88.17041 302 170 74 152 86 41107.1637 0 107.1637 95.15461 88.43035 303 171 75 153 87 42o 112.5255 0 100.4402 93.91984 304 172 76 0 0 0
Dale
2006.05
2006.06
2006.07
2006.8
2006.09
2006.10
2006.11
2006.12
2007.01
2007.02
2007.03
2007.04
2007.05
2007.06
2007.07
2007.08
2007.09
2007.10
2007.11
2007.12
2008.1
2008.02
2008.3
2008.04
2008.05
2008.06
2008.07
2008.08
2008.9
2008.10
2008.11
2008.12
THERMS PRICE OclMarP SummerP WinlerP Price2MA Price3MA TREND81 TREND92 TRENDoo WTREND81 WTREND92 WTRENOOO183.3695 113.515 0 113.515 0 101.3642 94.63082 305 173 77 0 0 0158.8997 113.515 0 113.515 0 101.4035 94.657 306 174 78 0 0 0166.1751 113.515 0 113.515 0 101.4035 97.36633 307 175 79 0 0 0166.839 113.515 0 113.515 0 101.4035 97.36633 308 176 80 0 0 0262.0842 113.0002 0 113.0002 0 101.1461 97.19475 309 177 81 0 0 0191.579 108.406 108.406 108.406 0 110.9605 103.7377 310 178 82 154 88 43
355.7807 107.4545 107.4545 107.4545 0 110.0451 102.815 311 179 83 155 89 44
551.9074 101.9692 101.9692 0 101.9692 104.4572 97.25719 312 180 84 156 90 45
692.2423 101.8135 101.8135 0 101.8135 104.393 97.17853 313 181 85 157 91 46
636.7024 101.8669 101.8669 0 101.8669 104.4412 97.23976 314 182 86 158 92 47
102.0547 102.0547 0 102.0547 104.6092 97.45465 315 183 87 159 93 48107.4165 0 107.4165 0 109.971 102.7656 316 184 88 0 0 0108.406 0 108.406 0 110.9605 103.7115 317 185 89 0 0 0108.406 0 108.406 0 110.965 103.7377 318 186 90 0 0 0108.406 0 108.406 0 110.9605 103.7377 319 187 91 0 0 0108.406 0 108.406 0 110.9605 103.7377 320 188 92 0 0 0107.8912 0 107.8912 0 110.4457 103.3945 321 189 93 0 0 0108.406 108.406 108.406 0 108.406 110.109 322 190 94 160 94 49
107.4545 107.4545 107.4545 0 107.4545 109.1816 323 191 95 161 95 50101.9692 101.9692 0 101.9692 101.9692 103.6279 324 192 96 162 96 51
101.8135 101.8135 0 101.8135 101.8135 103.5332 325 193 97 163 97 52
101.8669 101.8669 0 101.8669 101.8669 103.5831 326 194 98 164 98 53
102.0547 102.0547 0 102.0547 102.0547 103.7577 327 195 99 165 99 54107.4165 0 107.4165 0 107.4165 109.1195 328 196 100 0 0 0108.406 0 108.406 0 108.406 110.109 329 197 101 0 0 0108.406 0 108.406 0 108.406 110.109 330 198 102 0 0 0108.406 0 108.406 0 108.406 110.109 331 199 103 0 0 0108.406 0 108.406 0 108.406 110.109 332 200 104 0 0 0107.8912 0 107.8912 0 107.8912 109.5942 333 201 105 0 0 0108.406 108.406 108.406 0 108.406 108.406 334 202 106 166 100 55107.4545 107.4545 107.4545 0 107.4545 107.4545 335 203 107 167 101 56101.9692 101.9692 0 101.9692 101.9692 101.9692 336 204 108 168 102 57
CPI GOP HOUSING INCOME MORTGAGE PRIME HDD45 HDD65 NDD45 NDD65
87.20 57.90 6.9 9.26 14.9 20.16 428.5479 1078.956
88.00 58.20 5.73 9.29 15.13 19.43 402.699 998.7698
88.60 58.58 5.37 9.32 15.4 18.05 174.3559 737.6845
89.10 58.90 4.79 9.32 15.58 17.15 94.10417 621.231
89.70 59.30 4.21 9.32 16.4 19.61 17.90158 404.468
90.50 59.66 3.62 9.33 16.7 20.03 2.211434 209.1452
91.50 60.00 3.53 9.40 16.83 20.39 0.094173 64,33011
92.20 60.30 3.44 9.48 17.29 20.5 0 6.083839
93.10 60.70 3.35 9.56 18.16 20.08 0.155648 50.61225
93.40 61.00 2.91 9.51 18.45 18.45 25.5335 389.0724
93.80 61.30 2.47 9.46 17.83 16.84 68.25357 595.8923
!M.l0 61.56 2.03 9.42 16.92 15.75 280.826 894.078
!M.40 61.80 2.03 9.43 17.4 15.75 667.3425 1314.434
94.70 62.10 2.04 9.45 17.6 16.56 597.9091 1165.832
94.70 62.33 2.05 9.46 17.16 16.5 263.6202 827.6496
95.00 62.60 2.10 9.50 16.89 16.5 183.9439 764.8958
95.90 62.90 2.15 9.54 16.68 16.5 52.75137 4n.2751
97.00 63.19 2.20 9.58 16.7 16.5 2.754122 252.8413
97.50 63.40 2.28 9.60 16.82 16.26 0 55.95876
97.70 63.60 2.36 9.62 16.27 14.39 0 8.494385
97.70 63.87 2.45 9.64 15.43 13.5 1.411676 93.48747
98.10 64.00 2.81 9.69 14.61 12.52 27.33321 391.6226
98.00 64.20 3.17 9.74 13.83 11.85 180.8169 710.4098
97.70 64.41 3.52 9.80 13.62 11.5 414.n55 1028.916
97.90 64.60 3.64 9.95 13.25 11.6 564.8212 1198.55
98.00 64.80 3.76 10.10 13.04 10.98 336.514 925.2972
98.10 64.88 3.88 10.24 12.8 10.5 136.4486 683.1115
98.80 65.10 4.27 10.25 12.78 10.5 155.9466 738.2325
99.20 65.30 4.66 10.26 12.63 10.5 45.5969 506.5282
99.40 65.54 5.06 10.28 12.87 10.5 7.914569 195.503
99.80 65.70 4.76 10.26 13.42 10.5 0.037442 102.8422
100.10 65.90 4.46 10.24 13.81 10.89 0 17.53599100.40 66.02 4.16 10.22 13.73 11 2.161897 78.62912
100.80 66.30 4.35 10.32 13.54 11 7.608718 322.36
101.10 66.60 4.53 10.42 13.44 11 82.12833 55.9107
101.40 66.84 4.71 10.51 13.42 11 471.965 1070.174
102.10 67.00 4.92 10.56 13.37 11 859.4063 1526.134
102.60 67.20 5.12 10.61 13.23 11 659.5555 1230.784102.90 67.44 5.32 10.67 13.39 11.21 386.118 959.4569
103.30 67.60 5.06 10.77 13.65 11.93 131.4584 703.681103.50 67.80 4.80 10.87 13.94 12.39 57.40409 504.6955103.70 67.99 4.54 10.96 14.42 12.6 4.766073 285.1639
104.10 68.10 4.40 11.04 14.67 13 0.226884 59.37467104.40 68.20 4.26 11.12 14.47 13 0 4.506541
104.70 68.39 4.12 11.21 14.35 12.97 1.952753 89.88308
105.10 68.70 4.15 11.27 14.13 12.58 42.82084 360.0559105.30 69.00 4.18 11.32 13.64 11.n 219.0784 835.9538
105.50 69.18 4.21 11.37 13.18 11.06 558.9364 1164.507
105.70 69.30 3.98 11.44 13.08 10.61 772.4512 1383.369
106.30 69.40 3.75 11.51 12.92 10.5 887.44 1501.28
106.80 69.54 3.53 11.57 13.17 10.5 458.9817 1018.745107.00 69.70 3.84 11.59 13.2 10.5 174.9681 656.2469
107.20 69.80 4.15 11.61 12.91 10.31 37.6045 378.6713
107.50 69.88 4.46 11.62 12.22 9.78 1.980273 170.5559
107.70 70.00 4.63 11.62 12.03 9.5 0.051265 27.21154107.90 70.10 4.80 11.62 12.19 9.5 0 31.59681
108.10 70.30 4.98 11.63 12.19 9.5 1,571789 156.7448108.50 70.40 4.78 11.68 12.14 9.5 52.34681 467.6554
109.00 70.50 4.58 11.73 11.78 9.5 216.7051 760.0371
109.50 70.66 4.38 11.78 11.26 9.5 810.2348 1428.835109.90 70.80 4.40 11.80 10.88 9.5 935.0036 1574.505
109.70 70.90 4.42 11.82 10.71 9.5 402.0111 981.0113109.10 71.00 4.44 11.85 10.8 9.1 115.3642 649.5586
108.70 71.20 4.37 11.86 9.94 8.83 51.54121 530.5489
109.00 71.40 4.30 11.88 10.14 8.5 33.76413 487.2296
109.40 71.46 4.24 11.90 10.68 8.5 5.204589 147.7593
109.50 71.60 4.23 11.95 10.51 8.16 0 42.17835
109.60 71.80 4.21 12.00 10.2 7.9 0 19.25155110.00 71.96 4.19 12.04 10.01 7.5 1.354266 102.941
110.20 72.10 4.06 12.05 9.97 7.5 17.01911 431.4722110.40 72.30 3.92 12.06 9.7 7.5 104.9155 597.0012110.80 72.51 3.78 12.07 9.31 7.5 368.2172 984.6079
111.40 7260 3.83 12.14 9.2 7.5 691.5721 1356.922111.80 72.70 3.88 12.21 9.08 7.5 412.9543 1000.199112.20 72.90 3.92 12.29 9.04 7.5 203.3057 753.8639
112.70 73.10 3.73 12.35 9.83 7.75 107.5188 589.559
CPJ GOP HOUSING INCOME MORTGAGE PRIME HDD45 HDD65 NDD45 NOD65113.00 73.30 3.54 12.41 10.6 8.14 10.62295 225.2186113.50 73.45 3.36 12.47 10.54 8.25 0.113818 156.857
113.80 73.60 3.22 12.54 10.28 8.25 0 47.27984114.30 73.80 3.08 12.61 10.33 8.25 0 36.39394
114.70 73.95 2.93 12.67 10.89 8.7 0 64.43272115.00 74.20 3.10 12.76 11.26 9.07 4.881077 242.6691115.40 74.40 3.27 12.85 10.65 8.78 70.89626 565.9052115.60 74.56 3.43 12.93 10.65 8.75 332.4445 915.7738116.00 74.80 3.32 12.96 10.43 8.75 697.1741 1353.925
116.20 75.00 3.20 12.99 9.89 8.51 495.9603 1055.696
116.50 75.30 3.09 13.01 9.93 8.5 200.5231 768.5787
117.20 75.60 3.11 13.13 10.2 8.5 126.6307 646.2083117.50 75.90 3.14 13.25 10.46 8.84 24.93054 388.886118.00 76.18 3.17 13.37 10.46 9 3.819993 167.2428
118.50 76.40 3.28 13.49 10.43 9.29 0.012519 29.03222119.00 76.60 3.39 13.61 10.6 9.84 0 8.530737
119.50 76.79 3.49 13.73 10.48 10 0.912555 97.99504119.90 77.10 3.52 13.80 10.3 10 1.065168 215.4158120.30 7740 3.56 13.87 10.27 10.05 82.01275 507.6238120.70 7759 3.59 13.93 10.61 10.5 455.124 1065.766121.20 7780 3.51 14.12 10.73 10.5 721.0128 1360.071
121.60 78.10 3.42 14.31 10.65 10.3 810.7447 1398.179122.20 78.34 3.33 14.51 11.03 11.5 362.5916 931.2815123.10 78.50 3.71 14.57 11.05 11.5 87.86716 584.4731
123.70 78.70 4.09 14.63 10.77 11.5 10.47528 318.0666124.10 78.91 4.48 14.68 10.2 11.07 3.641222 235.2468
124.50 79.10 4.75 14.71 9.88 10.98 0.124125 43.96134124.50 79.30 5.02 14.74 9.99 10.5 0.004154 12.85711
124.80 79.43 5.28 14.77 10.13 10.5 0.191668 133.1121
125.40 79.80 5.39 14.89 9.95 10.5 9.169372 276.3486125.90 80.10 5.50 15.00 9.77 10.5 141.0927 657.0264
126.30 80.39 5.61 15.11 9.74 10.5 389.7449 996.4676127.50 80.70 5.74 15.30 9.9 10.11 497.431 1105.963128.00 81.00 5.88 15.49 10.2 10 443.9875 1058.075
128.60 81.33 6.02 15.68 10.27 10 246.9224 793.0283128.90 81.60 5.94 15.72 10.37 10 55.95138 501.9895129.10 81.80 5.86 15.76 10.48 10 21.59202 390.863129.90 82.05 5.79 15.81 10.16 10 5.475113 275.9504130.50 82.30 5.81 15.85 10.04 10 0.215998 45.03097
131.60 82.50 5.83 15.89 10.1 10 0 12.55007
132.50 82.69 5.85 15.93 10.18 10 0 39.94875133.40 83.00 5.79 15.94 10.18 10 21.48039 234.7409133.70 83.30 5.73 15.95 10.01 10 128.8569 680.2166134.20 83.66 5.67 15.97 9.67 10 425.9273 1025.536134.70 83.80 5.62 15.98 9.64 9.52 974.3483 1610.869
134.80 84.00 5.56 15.99 9.37 9.05 433.337 1017.116134.80 84.19 5.50 16.00 9.5 9 161.7905 701.2906
135.10 84.40 5.80 16.03 9.49 9 114.4459 639.6431135.60 84.60 6.09 16.07 9.47 8.5 48.00742 523.7964136.00 84.77 6.39 16.11 9.62 8.5 4.843717 261.2268
136.20 84.90 6.48 16.12 9.58 8.5 0.158961 66.09008136.60 85.00 6.58 16.14 9.24 8.5 0 4.823982
137.00 85.20 6.68 16.15 9.01 8.2 0.349757 60.47847137.20 85.40 7.06 16.23 8.86 8 6.418575 202.6817137.80 85.60 7.44 16.31 8.71 7.58 238.1622 789.430
138.20 85.77 7.83 16.39 8.5 7.21 416.8825 1042.214138.30 85.90 8.38 16.55 8.43 6.5 562.2805 1220.09138.60 86.00 8.93 16.72 8.76 6.5 306.7624 864.2403139.10 86.21 9.49 16.88 8.94 6.5 85.77294 603.7692139.40 86.30 9.40 16.95 8.85 6.5 36.49542 509.5225139.70 86.40 9.32 17.02 8.67 6.5 11.42684 270.6927140.10 86.59 9.23 17.09 8.51 6.5 0.178611 101.1171140.50 86.70 9.18 17.13 8.13 6.02 0.086239 69.01611140.80 86.90 9.12 17.17 7.98 6 0.075662 20.7091141.10 87.04 9.07 17.21 7.92 6 1.087829 132.0955
141.70 87.30 9.56 17.27 8.09 6 7.194696 259.0855142.10 87.50 10.05 17.33 8.31 6 138.5238 648.006142.30 87.73 10.55 17.40 8.22 6 589.959 1210.727
142.80 87.90 10.62 17.55 8.02 6 727.7927 1387.296143.10 88.10 10.69 17.70 7.68 6 618.2304 1205.241143.30 88.20 10.75 17.85 7.5 6 467.6501 1046.315143.80 88.30 10.67 17.93 7.47 6 79.86524 607.6482144.20 88.40 10.59 18.01 7.47 6 25.24538 414.0357144.30 88.60 10.51 18.09 7.42 6 2.395999 169.2071144.50 88.70 10.87 18.09 7.21 6 0.459438 159.295144.80 88.80 11.23 18.09 7.11 6 0 65.05834
CP~GOP HOUSING INCOME MORTGAGE PRIME HDD45 HDD65 NDD45 NDD65
145.00 89.03 11.59 18.08 6.92 6 0.45569 130.4172
145.60 89.20 1205 18.22 6.83 6 6.122183 273.8188
146.00 89.40 12.52 18.36 7.16 6 160.7459 684.6538
146.30 89.60 12.98 18.51 7.17 6 505.8721 1144.179
146.30 89.70 13.43 18.42 7.06 6 460.7523 1069.698
146.70 89.80 13.88 18.33 7.15 6 473.6833 1059.617
147.10 89.98 14.32 18.24 7.68 6.06 224.17 776.756
147.20 90.20 14.09 18.38 8.32 6.45 86.2775 594.7699
147.50 90.40 13.86 18.52 8.6 6.99 15.34478 315.582
147.90 90.53 13.63 18.65 8.4 7.25 0.590273 153.0117
148.40 90.70 13.19 18.73 8.61 7.25 0.058903 56.80903
149.00 90.80 12.75 18.80 8.51 7.51 0 5.258331
149.30 90.96 12.30 18.87 8.64 7.75 0 51.26113
149.40 91.20 11.80 18.91 8.93 7.75 11.55275 257.7829
149.80 91.40 11.30 18.95 9.17 8.15 179.858 708.5276
150.10 91.55 10.81 18.99 9.2 8.5 529.7444 1139.917
150.50 91.70 10.23 19.09 9.15 8.5 499.862 1133.68
150.90 91.80 9.65 19.19 8.83 9 200.7414 764.7389
151.20 91.89 9.07 19.29 8.46 9 181.4285 729.1667
151.80 92.00 8.93 19.29 8.32 9 114.1371 662.4461
152.10 92.10 8.79 19.29 7.96 9 30.4636 462.9741
152.40 92.28 8.65 19.29 7.57 9 4.129228 259.8817
152.60 92.40 8.98 19.31 7.61 8.8 0.66114 83.17979
152.90 92.60 9.31 19.33 7.86 8.75 0 25.25962
153.10 92.73 9.63 19.36 7.64 8.75 0.460954 58.41894
153.50 92.90 9.79 19.50 7.48 8.75 12.66364 300.6025
153.70 93.10 9.95 19.64 7.38 8.75 115.0228 658.8692
153.90 93.30 10.10 19.78 7.2 8.65 196.2606 761.8317
154.70 93.40 9.96 19.68 7.03 8.5 453.8934 1062.696
155.00 93.50 9.82 19.58 7.08 8.25 563.237 1177.158
155.50 93.62 9.68 19.48 7.62 8.25 252.4958 817.4971
158.10 93.80 9.82 19.59 7.93 8.25 93.43665 595.2247
156.40 93.90 9.96 19.70 8.07 8.25 23.3694 427.4328
156.70 94.06 10.10 19.80 8.32 8.25 1.761354 218.6306
157.00 94.20 9.72 19.81 8.25 8.25 0 42.12759
157.20 94.30 9.34 19.82 8 8.25 0 16.26159
157.70 94.46 8.95 19.84 8.23 8.25 1.269638 89.63388
158.20 94.60 8.68 19.84 7.92 8.25 22.81583 267.399
158.70 94.80 8.41 19.84 7.62 8.25 145.5097 700.2684
159.10 94.96 8.13 19.85 7.6 8.25 312.6595 912.0987
159.40 95.10 8.17 19.93 7.82 8.25 409.9824 1004.033
159.70 95.20 8.21 20.01 7.65 8.25 436.4017 1052.1
159.80 95.29 8.26 20.10 7.9 8.3 252.146 793.9139
159.90 95.40 8.27 20.16 8.14 8.5 124.9255 642.4742
159.90 95.50 8.28 20.23 7.94 8.5 40.99116 422.2908
160.20 95.54 8.28 20.30 7.69 8.5 0.525306 113.8347
160.40 95.60 8.64 20.37 7.5 8.5 0 60.78443
160.80 95.70 9.00 20.44 7.48 8.5 0 11.07311
161.20 95.86 9.36 20.51 7.43 8.5 0 35.96907
161.50 95.90 9.42 20.51 7.29 8.5 10.88843 264.2919
161.70 96.00 9.47 20.52 7.21 8.5 106.8558 621.8553
161.80 96.10 9.53 20.52 7.1 8.5 349.3779 965.7701
162.00 96.20 9.87 20.90 6.99 8.5 516.1167 1180.902
162.00 96.30 10.21 21.28 7.04 8.5 248.7548 828.9749
162.00 96.28 10.56 21.66 7.13 8.5 257.1769 802.6135
162.20 96.40 10.33 21.70 7.14 8.5 100.0696 654.34
162.60 96.50 10.10 21.74 7.14 8.5 21.82672 391.3843
162.80 96.62 9.86 21.77 7 8.5 1.107182 273.8859
163.20 96.70 9.75 21.83 6.95 8.5 0 76.65147
163.40 96.80 9.64 21.89 6.92 8.5 0 0.59965
163.50 96.90 9.52 21.94 6.72 8.49 0 21.13688
163.90 97.00 9.85 22.06 6.71 8.12 4.952216 252.8812
164.10 97.10 10.18 22.18 6.87 7.89 96.25451 609.0386
164.40 97.27 10.51 22.31 6.72 7.75 314.1242 935.8054
164.70 97.40 10.36 22.36 6.79 7.75 506.0504 1146.5
164.70 97.50 10.21 22.41 6.81 7.75 378.1759 937.1912
164.80 97.70 10.05 22.47 7.04 7.75 243.2611 789.9804
165.90 97.80 10.11 22.53 6.92 7.75 134.4792 716,7113
166.00 97.90 10.16 22.59 7.15 7.75 42.6706 519.9666
166.00 98.2 10.21 22.65 7.55 7.75 7.082919 216.9111
166.70 98.20 10.35 22.74 7.63 8 0 57.95903
167.10 98.40 10.49 22.83 7.94 8.06 0 6.500068
167.80 98.8 10.63 22.92 7.82 8.25 0.635849 88.21405
168.10 98.70 10.57 23.03 7.85 8.25 13.42926 266.8451
168.40 99.00 10.51 23.14 7.74 8.37 51.28642 506.0071
168.80 99.29 10.45 23.25 7.91 8.5 283.2456 857.2438
CPI GOP HOUSING INCOME MORTGAGE PRIME HDD45 HDD65 NDD45 NDD65
169.30 99.50 10.78 23.41 8.21 8.5 521.8204 1162.161
170.00 99.70 11.11 23.57 833 8.73 315.4083 898.5831
171.00 99.78 11.44 23.74 8.24 8.83 180.5968 756.6689
170.90 99.90 11.42 23.85 8.15 9 96.62197 628.5695
171.20 100.10 11.41 23.96 8.52 9.24 4.1429 313.4787
17220 100.24 11.39 24.06 8.29 9.5 2.343807 161.0705
17.70 100.40 11.53 24.11 8.15 9.5 0 33.6262217270100.50 11.67 24.15 8.03 9.5 0 1.597575
173.60 100.69 11.81 24.20 7.91 9.5 1.419927 93.82003
173.90 101.00 11.70 24.27 7.8 9.5 9.802715 279.114
174.20 101.30 11.60 24.34 7.75 9.5 210.5287 761.4073
174.60 101.51 11.50 24.42 7.38 9.5 505.2047 1114.683
175.60 101.80 11.99 24.42 7.03 9.05 587.684 1198.961
176.00 102.10 12.48 24.42 7.05 8.5 637.8758 1252.185
176.10 102.29 12.97 24.2 6.95 8.32 297.3532 842.7324
176.40 102.40 12.99 24.46 7.08 7.8 101.7417 649.204217.30 102.50 13.02 24.50 7.15 7.24 32.51796 3777881
177.70 102.69 13.05 24.55 7.16 6.98 1.318633 158.4843
17.40 102.80 12.60 24.56 7.13 6.75 0.679736 35.3980817.40 102.90 12.15 24.57 6.95 6.67 0 7.11301
178.10 103.12 11.70 24.58 6.82 6.28 0 44.38567
177.60 103.30 11.55 24.55 6.62 5.53 10.40308 227.353617.50 103.40 11.40 24.52 6.66 5.1 66.68306 557.603517.40 103.55 11.25 24.48 7.07 4.84 378.3908 969.960517770103.70 11.30 24.71 7 4.5 578.898 1187.537
178.00 103.80 11.35 24.94 6.89 4.5 615.9322 1233.858
178.50 103.94 11.39 25.17 7.01 4.75 417.2855 972.1597
179.30 104.10 11.70 25.32 6.99 4.75 110.6624 614.8275
179.50 104.20 12.01 25.47 6.81 4.5 31.66588 463.2206
179.60 104.35 12.32 25.63 6.65 4.75 3.785285 192.0764
180.00 104.50 12.56 25.52 6.49 4.75 0.232727 27.8059
180.50 104.70 12.80 25.42 6.29 4.75 0 11.19444
180.80 104.93 13.04 25.32 6.09 4.75 0.004249 62.94709
181.20 105.20 13.98 25.25 6.11 4.5 17.31672 344.6476
181.50 105.50 14.93 25.19 6.07 4.35 221.6754 796.8425
181.80 105.72 15.87 25.12 6.05 4.25 309.0758 917.2382182.30 105.80 15.88 25.16 5.92 4.25 348.8997 953.8337
183.30 105.90 15.89 25.20 5.84 4.25 305.9195 910.7722
184.00 106.08 15.90 25.24 5.75 4.25 234.1397 761.0529
183.30 106.30 15.66 25.24 5.81 4.25 94.52042 592.2347
183.20 106.50 15.43 25.24 5.48 4.25 25.89367 492.3552
183.40 106.62 15.20 25.25 5.23 4.22 3.253574 122.5811
183.80 106.80 15.61 25.31 5.63 4 0 36.78298
184.50 107.00 16.2 25.37 6.26 4 0 0.237274
185.00 107.20 16.44 25.42 6.15 4 0.143706 69.03762
184.90 107.50 16.85 25.49 5.95 4 2.762336 184.9373
184.70 107.80 17.26 25.56 5.93 4 183.3382 658.4443
185.20 108.19 17.67 25.62 5.88 4 313.887 928.4456
185.90 108.50 17.23 25.98 5.74 4 594.4415 1253.29
186.50 108.80 16.80 26.34 5.84 4 526.8567 1114.202
187.20 109.17 16.37 26.71 5.45 4 238.6743 762.3408
187.50 109.40 16.87 26.90 5.83 4 36.05918 499.3959
188.60 109.60 17.37 27.09 6.27 4 7.816608 331.7589
189.30 109.74 17.88 27.28 6.29 4.01 1.253795 203.2256189.30 110.00 18.27 27.35 6.06 4.25 0 37.18434
189.40 110.30 18.66 27.43 5.87 4.43 0 8.190208
189.70 110.61 19.06 27.51 5.75 4.58 0.134586 119.0905
190.80 110.90 19.58 27.68 5.72 4.75 8.636974 256.7352
191.30 111.20 20.11 27.86 5.73 4.93 134.6697 686.1471
191.30 111.56 20.64 28.04 5.75 5.15 374.3167 982.5781
191.3 111.8 21.43 28.07 5.71 5.25 482.4809 1118.92
192.1 112 22.22 28.1 5.63 5.49 428.8551 1017.525
193 112.229 23.009 28.123 5.93 5.58 223.926 757.3795
193.9 112.5 22.91 28.15 5.86 5.75 104.0354 670.9891
194 112.8 22.81 28.18 5.72 5.98 15.10663 383.4804
194 113.139 22.698 28.20 5.58 6.01 1.159641 233.1114
195.1 113.4 23.38 28.31 5.7 6.25 0.569771 54.69596
196.2 113.7 24.06 28.42 5.82 6.44 0 4.137348198.114.048 24.747 28.526 5.77 6.59 0.135191 96.42934199.2 114.4 23.9 28.2 6.07 6.75 7.965955 334.5788
197.9 114.7 23.05 28.72 6.33 7 114.3891 631.0623
197.8 114.967 22.198 28.815 6.27 7.15 545.0871 1150.57
199 115.3 22.49 29.04 6.15 7.26 410.1669 1051.476
199.1 115.6 22.78 29.27 6.25 7.5 426.5296 1013.771
199.6 115.905 23.062 29.50 6.32 7.53 317.0488 868.81
200.8 116.1 22.52 29.61 6.51 7.75 110.333 663.1309
CPI GOP HOUSING INCOME MORTGAGE PRIME HDD45 HDD65 NDD45 NDD65
201.9 116.3 21.98 29.72 6.6 7.93 14.76327 329.3401
202.4 116.446 21.427 29.82 6.68 8.02 2.626899 144.3375
203.2 116.6 20.47 29.97 6.76 8.25 o 20.00283
203.8 116.8 19.52 30.12 6.52 8.25 o 3.676932
202.7 116.924 18.567 30.276 6.4 8.25 0.183331 104.6041
201.8 113.9 19.11 30.47 6.36 8.25 7.182938 300.4943 6.739949 298.9813
201.9 110.9 19.65 30.67 6.24 8.25 132.8446 6778515 139.0173 668.8616
202.8 107.855 20.197 30.864 6.14 8.25 391.043 979.3646 405.4063 1003.3
203.153 108 20.21 30.97 6.22 8.25 554.5187 1161.894 585.503 1225.009
203.90 108.2 20.22 31.08 6.29 8.25 493.4304 1104.671 464.7877 1049.702
188.4 108.335 20.223 31.88 6.27 4 229.8028 766.6598
188.6 108.5 20.16 31.28 6.3 4 94.31925 636.7517
188.8 108.6 20.1 31.37 6.3 4 13.37779 357.7938
189.1 108.727 20.043 31.451 6.27 4 1.078524 194.6844
189.3 108.8 20.04 31.55 6.3 4 0 37.19453
189.5 108.9 20.3 31.65 6.3 4 0 4.791085
189.7 109.093 20.022 31.738 6.27 4 0.107077 85.57603
189.9 109.2 20 31.83 6.3 4 6.739949 298.9813
190.1 109.3 19.98 31.92 6.3 4 139.0173 668.8616
190.4 109.487 19.955 32.018 6.27 4 405.4063 1003.63
126.9 109.1 19.96 32.11 6.3 4 585.503 1225.009
63.4 108.7 19.96 32.2 6.3 4 464.7877 1049.702
0 108.335 19.96 32.302 6.27 4 229.8028 766.6598
0 108.5 19.92 32.42 6.3 4 94.31925 636.7517
0 108.19.88 32.54 6.3 4 13.37779 357.7938
0 108.727 19.846 32.648 6.27 4 1.078524 194.684
0 108.19.8 32.75 6.3 4 0 37.19453
0 108.9 19.75 32.86 6.3 4 0 4.791085
0 109.09 19.701 32.96 6.27 4 0.107077 85.57603
0 109.2 19.65 33.09 6.3 4 6.739949 298.9813
0 109.3 19.6 33.21 6.3 4 139.0173 668.8616
0 109.487 19.547 33.327 6.27 4 405.4063 1003.63
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JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
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JAN FEB MAR APR MAY JUN JUl AUG SEP OCT NOV DEC
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