United States Office of
Environmental Protection Research and Development
Agency Washington, DC 20460
EPA-600/R-95-132b
August 1995
EPA Economic Growth
Analysis System:
User's Guide
Version 3.0
Prepared by Air Pollution Prevention and Control Division
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PREFACE
The U. S. Environmental Protection Agency is charged by Congress with pro-
tecting the Nation's land, air, and water resources. Under a mandate of national
environmental laws, the Agency strives to formulate and implement actions lead-
ing to a compatible balance between human activities and the ability of natural
systems to support and nurture life. To meet this mandate, EPA's research
program is providing data and technical support for solving environmental pro-
blems today and building a science knowledge base necessary to manage our eco-
logical resources wisely, understand how pollutants affect our health, and pre-
vent or reduce environmental risks in the future.
The National Risk Management Research Laboratory is the Agency's center for
investigation of technological and management approaches for reducing risks
from threats to human health and the environment. The focus of the Laboratory's
research program is on methods for the prevention and control of pollution to air.
land, water, and subsurface resources; protection of water quality in public water
systems; remediation of contaminated sites and groundwater; and prevention and
control of indoor air pollution. The goal of this research effort is to catalyze
development and implementation of innovative, cost-effective environmental
technologies; develop scientific and engineering information needed by EPA to
support regulatory and policy decisions; and provide technical support and infor-
mation transfer to ensure effective implementation of environmental regulations
and strategies.
This publication has been produced as part of the Laboratory's strategic long-
term research plan. It is published and made available by EPA's Office of Re-
search and Development to assist the user community and to link researchers
with their clients.
E. Timothy Oppelt, Director
National Risk Management Research Laboratory
EPA REVIEW NOTICE
This report has been reviewed by the U.S. Environmental Protection Agency, and
approved for publication. Approval does not signify that the contents necessarily
reflect the views and policy of the Agency, nor does mention of trade names or
commercial products constitute endorsement or recommendation for use.
This document is available to the public through the National Technical Informa-
tion Service, Springfield, Virginia 22161.
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EPA-600/R-95-132b
August 1995
ECONOMIC GROWTH ANALYSIS SYSTEM:
VERSION 3.0 USER'S GUIDE
FINAL REPORT
Prepared by:
Terri Young
TRC ENVIRONMENTAL CORPORATION
6340 Quadrangle Drive, Suite 200
Chapel Hill, North Carolina 27514
EPA Contract 68-D2-0181
Work Assignment 2/019
Project Officer: Sue Kimbrough
U.S. Environmental Protection Agency
National Risk Management Research Laboratory
Research Triangle Park, NC 27711
Prepared for:
U.S. Environmental Protection Agency U.S. Environmental Protection Agency
Office of Air Quality Planning and Standards Office of Research and Development
Research Triangle Park, NC 27711 Washington, DC 20460
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FOREWORD
Previous versions of this report were prepared under the auspices of the Joint Emissions
Inventory Oversight Group (JEIOG). However, this version was prepared under the auspices of
the North American Research Strategy for Tropospheric Ozone (NARSTO). NARSTO evolved
out of a call by the Clean Air Act Amendments (CAAA) of 1990 [Sec. 185B], in conjunction with
the National Academy of Sciences (NAS), to examine the role of ozone (O3) precursors in
tropospheric 03 formation and control. In addition, the study called for an examination of the
roles of nitrogen oxide (NOX) and volatile organic compound (VOC) emission reductions, the
extent to which NOX reductions may contribute (or be counterproductive) to achievement of
attainment in different nonattainment areas, the sensitivity of O3 to the control of N£) , the
availability and extent of controls for NOX, the role of biogenic VOC emissions, and the basic
information required for air quality models.
The NAS called for a rethinking of the O3 problem through a comprehensive program of
tropospheric O3 research coordinated across organizations from government (federal,
state/provincial, and local), industry, academia, and other private-sector interests within North
America. This call is based on the apparently disappointing results of recent efforts to control
high O3 concentrations and the lack of coordination of ongoing research efforts in tropospheric
O3 science. This effort is known as NARSTO.
ABSTRACT
This guide is intended to function as a manual for Version 3.0 of the Economic Growth
Analysis System (E-GAS), which was developed under EPA Contract No. 68-D2-0181. The
objective of this report is to describe the usage of the E-GAS modeling system. The E-GAS
model will be used to project emissions inventories of volatile organic compounds, oxides of
nitrogen, and carbon monoxide for ozone nonattainment areas and Regional Oxidation Model
(ROM) modeling regions.
This guide describes in detail the workings of the E-GAS computer modeling software, and
its relationships with internal modeling software components, like Regional Economic Models,
Inc. (REMI) models, and external software, like the Regional Oxidant Model (ROM), the
Aerometric Information Retrieval System (AIRS), and the Urban Airshed Model (UAM). The
guide describes all inputs to and outputs from the software, and includes a description of all
variables used by the E-GAS system.
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TABLE OF CONTENTS
Section Page
FOREWORD ii
ABSTRACT ii
LIST OF FIGURES v
LIST OF ACRONYMS vi
ACKNOWLEDGEMENTS vii
1 INTRODUCTION 1-1
1.1 BACKGROUND 1-1
1.2 PURPOSE 1-4
1.3 BEFORE USING THE SYSTEM 1-4
1.4 CONCEPTS AND KEYWORDS 1-5
1.5 PROGRAM INPUT AND USER GUIDE SYNTAX 1-6
1.6 REFERENCES 1-7
2 GETTING STARTED 2-1
2.1 INSTALLING E-GAS 2-1
2.2 RUNNING E-GAS 2-1
2.3 MAIN MENU 2-2
2.4 E-GAS MAIN MENU 2-3
2.5 E-GAS UTILITIES 2-5
2.5.1 Help 2-6
2.5.2 User Assumptions 2-6
2.5.3 Abort Execution 2-6
3 ECONOMIC MODELS IN E-GAS 3-1
3.1 INTRODUCTION 3-1
3.2 THE BLS / REMI U.S. FORECAST 3-2
3.3 WHARTON ECONOMETRIC FORECASTING ASSOCIATES (WEFA)
3-2
3.4 REFERENCES 3-3
4 POLICY VARIABLE CHANGES 4-1
4.1 INTRODUCTION 4-1
4.2 REGULAR POLICY VARIABLES 4-2
4.3 TRANSLATOR POLICY VARIABLES 4-5
4.4 POPULATION VARIABLE 4-7
5 MODEL SUPPRESSIONS 5-1
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TABLE OF CONTENTS (continued)
Section Pa8e
6 TIER 1: THE NATIONAL MODEL 6-1
6.1 INTRODUCTION 6-1
6.2 NATIONAL MODEL MAIN SCREEN 6-1
6.3 BASELINE FORECAST 6-1
6.4 MAIN MENU 6-3
7 TIER 2: THE REGIONAL MODEL 7-1
7.1 INTRODUCTION 7-1
7.2 REGIONAL MODEL TIER MAIN SCREEN 7-2
7.3 BASELINE FORECAST 7-2
7.4 SIMULATION FORECAST 7-3
7.5 MAIN MENU 7-3
8 TIER 3: THE GROWTH FACTOR MODULE 8-1
8.1 INTRODUCTION 8-1
8.2 OUTPUT FILE SELECTION SCREENS 8-2
8.2.1 Output File Format Selection Screen 8-2
8.2.2 Output File Year Selection Screen 8-3
8.2.3 Output File Area/State/County Selection Screens 8-4
8.3 VMT DATA ENTRY SEQUENCE 8-5
8.3.1 VMT Data Source Screen 8-5
8.3.2 VMT Data Detail Screen 8-6
8.3.3 VMT Data Entry Screens 8-7
9 FOR FURTHER INFORMATION 9-1
APPENDIX A E-GAS MODELING AREAS A-l
APPENDIX B FILE FORMATS FOR E-GAS VEHICLE VMT INPUT B-l
APPENDIX C E-GAS OUTPUT FILES C-l
APPENDIX D BEA MODULE MESSAGE AND OUTPUT FILES D-l
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LIST OF FIGURES
Number Page
2-1 Main menu 2-2
2-2 BEA module message 2-3
2-3 E-GAS main menu 2-4
2-4 E-GAS utilities 2-5
6-1 National model main screen 6-2
6-2 National model baseline forecast screen 6-2
7-1 Regional model main screen 7-2
8-1 Output file format selection screen 8-2
8-2 Output file year selection screen 8-4
8-3 Output file area selection screen 8-5
8-4 VMT data screen 8-6
8-5 VMT data detail screen 8-7
8-6 Single growth factor screen 8-8
8-7 Growth factor by road type screen 8-8
8-8 Growth factor by road and vehicle type screen 8-9
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LIST OF ACRONYMS
AEERL Air and Energy Engineering Research Laboratory (now APPCD)
AIRS Aerometric Information Retrieval System
APPCD Air Pollution Prevention and Control Division
BEA U.S. Department of Commerce Bureau of Economic Analysis
BLS Bureau of Labor Statistics
CAAA Clean Air Act Amendments of 1990
CO carbon monoxide
CPI consumer price index
CSEMS Commercial Sector Energy Model by State
E-GAS Economic Growth Analysis System
EPA U.S. Environmental Protection Agency
EPS Emissions Preprocessor System
EPV employees per dollar value added
EUMOD Electric Utility Model
FHWA Federal Highway Administration
FIPS Federal Information Processing Standards
GNP Gross National Product
GRP Gross Regional Product
HH Household
HOMES Household Model of Energy by State
HPMS Highway Performance Monitoring System
INRAD Industrial Regional Activity and Energy Demand Model
JEIOG Joint Emissions Inventory Oversight Group (now NARSTO)
MSA Metropolitan Statistical Area
NAS National Academy of Science
NAAQS national ambient air quality standards
NARSTO North American Research Strategy for Tropospheric Ozone
NRMRL National Risk Management Research Laboratory
NUMOD Neural Network Electric Utility Model
OAQPS Office of Air Quality Planning and Standards
PCE Personal Consumption Expenditures
REMI Regional Economic Models, Inc.
REO regional economic opportunity
ROM Regional Oxidant Model
RPC regional price coefficient
RWM relative wage mix
RWR relative wage rate
SCC source classification code
SIC Standard Industrial Classification (code)
UAM Urban Airshed Model
WEFA Wharton Econometric Forecasting Associates
VMT vehicle miles traveled
CH-95-51
VI
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ACKNOWLEDGEMENTS
This document was prepared by TRC Environmental Corporation, for the U.S. Environmental
Protection Agency's (EPA's) Office of Research and Development, Air Pollution Prevention and
Control Division (APPCD) and Office of Air Quality Planning and Standards (OAQPS) under the
auspices of the North American Research Strategy for Tropospheric Ozone (NARSTO). EPA
involvement included: Sue Kimbrough (Work Assignment Manager) and Larry Jones of the
APPCD Emissions and Modeling Branch; Richard Wayland of the OAQPS Technical Support
Division; and Laurel Schultz of the OAQPS Air Quality Management Division. Further
significant contributions to this document have been made by staff from Regional Economic
Models, Inc. (REMI), Amherst, MA, and their documents.
vn
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CHAPTER 1
INTRODUCTION
1.1 BACKGROUND
The Clean Air Act Amendments (CAAA) of 1990 were signed into law on November 15,
1990. The CAAA require that extreme, severe, serious, and multi-State moderate ozone
non-attainment areas use photochemical grid modeling to demonstrate future attainment with the
ozone national ambient air quality standard (NAAQS) [Section 182(e)(2)(A)]. In addition to
photochemical grid modeling, the CAAA require that moderate, serious, severe, and extreme
ozone nonattainment areas submit rate-of-progress plans demonstrating a 15 percent reduction in
emissions from 1990 to 1996 [Section 182(b)(l)(A)]. Further, rate-of-progress plans for serious,
severe, and extreme areas must include demonstration of a three percent reduction (averaged over
three years) from 1996 until attainment is achieved [Section 182(c)(2)(B)].
Section 182(b)(l)(A) of the CAAA specifies that the 15 percent reduction from baseline
emissions accounts for any growth in emissions after 1990. A key component of the rate-
-of-progress plans and photochemical grid modeling demonstrations will be the development of
credible growth factors for the existing inventories.
When emission source growth estimates are not available by directly surveying individual
facilities or from other local sources, surrogate growth indicators must be used. The Economic
Growth Analysis System (E-GAS) Model is one source for these growth factors. The EPA also
endorses the use of economic data to forecast growth in emissions. Acceptable economic
indicators are product output, value added, earnings, and employment. Product output is
measured in physical units; value added is the difference between the value of industry outputs and
inputs; earnings denotes wage earnings in an industry; and employment measures the number of
workers in an industry. The emission projection guidance suggests that product output is the best
indicator of future emission source growth and that its use is "preferable to any of the [other]
indicators, if it is available".1 If product output projections are not available, value added data
should be used, and if they are not available, earnings data may be used. Finally, employment
projections may be used, but are not considered to be "an effective growth indicator in most
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cases." The guidance also indicates that for the purposes of projecting SIP inventories, States are
expected to use earnings, value added, or product output data.1
The traditional data source for economic indicators used in projecting stationary source
growth is the U.S. Department of Commerce's Bureau of Economic Analysis (BEA) growth
factors. The BEA has published Metropolitan Statistical Area (MSA), State and regional growth
factors in print and disk formats under the titles, Bureau of Economic Analysis Regional
Projections to 2040 Volumes 1, 2, and 3.2'3-4 This source includes personal income, earnings, and
employment data for the MS As, States, regions, and the entire United States.
EPA guidance on projection of mobile source emissions can also be found in Procedures for
Preparing Emissions Projections.1 This guidance covers highway vehicles as well as some
non-highway mobile sources (aircraft and railroads). Additional guidance specific to highway
mobile source inventory forecasting and tracking for carbon monoxide (CO) nonattainment areas
is contained in Section 187 VMT Forecasting and Tracking Guidance, a document required by
Section 187 of the Clean Air Act Amendments.5 These two documents discuss the same basic
methods and sources for mobile source projections. In order of preference, these include the
following:
1. Use of projections based on a network-type travel demand model for the area of concern
2. Use of projections based on data generated by the Federal Highway Administration (FHWA) Highway
Performance Monitoring System (HPMS) for the subject area
3. Use of "any reasonable methodology" for areas not covered by HPMS
The Procedures for Preparing Emissions Projections states that the preferred method for
performing vehicle miles traveled (VMT) projections for on-road mobile sources is to use a
validated travel demand model. Travel demand models are locality-specific computerized models
which simulate travel on a network representing an area's transportation system. The number of
cities with a current travel demand model is limited and there are many nonattainment areas
without such models. For areas that do not have a validated travel demand model, this guidance
permits VMT projections to be based on the FHWA's HPMS. For areas outside the domain of
a travel demand model and/or HPMS reporting area, the use of an historically-based extrapolation
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method is allowed. An example trend projection method, requiring the quantifying of road
mileage and associated VMT, is outlined; however, details on these methodologies are not
provided.
Since growth in source emissions largely depends on the amount of economic activity
growth in an area, a consistent set of growth factors requires forecasts using consistent Gross
National Product (GNP) forecasts and a consistent methodology for estimating economic activity
in Urban Airshed Model (UAM) and Regional Oxidant Model (ROM) modeling regions. The
need for consistent economic growth factors, however, must be satisfied in a way that allows
States to use their own estimates of national and regional economic activity. The E-GAS is an
economic and activity forecast model which satisfies both of these standards.
Inventories for rate-of-progress plans and photochemical modeling will be housed in the
Aerometric Information Retrieval System (AIRS). E-GAS generated growth factors can be
applied to AIRS inventories for the development of emission projections to the year 2015. State
users can create custom regional forecasts by modifying input assumptions for the regional models
in the E-GAS system.
The E-GAS modeling system contains three tiers. The first tier includes available national
economic forecasts which are used to drive the regional economic models. The second tier includes
regional economic models for the UAM modeling areas, as well as the States in the ROM modeling
regions. The third tier estimates fuel consumption, physical output, and VMT based on the second
tier's regional economic forecasts. The tiers must be sequentially executed, since data are created
by early tiers for transfer to later tiers. The three-tiered structure of E-GAS allows users flexibility
in modeling. Although a tier must be run before proceeding to the next tier, the system allows the
models to be rerun at the user's discretion. For example, users may run the national model using
either Bureau of Labor Statistics (BLS) or Wharton Econometrics Forecasting Associates (WEFA)
forecasts before performing regional modeling on the last national model run.
The E-GAS system also has a module which allows users to select the BEA growth factors
as output. This module uses the growth factors created by the program BEAFAC which is part of
the UAM/ROM Emission Preprocessor. This option does not rely on economic data from the
REMI models. Appendix H of the E-GAS Reference Manual contains more information on this
module.
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1.2 PURPOSE
The purpose of this User's Guide is to provide a guide through the E-GAS system. This
chapter introduces the terminology used with the system as well as the syntax and format of the
program and user's guide. Chapter 2 discusses the use of E-GAS by explaining the logical
progression of the program, presenting sample screens, providing explanations of input formats,
and describing the E-GAS utilities found throughout the system. Chapter 3 describes the role of
national economic models in E-GAS and the two options available to the user. Chapter 4 first
explains the general function of E-GAS's policy variables, then describes the specific variables
while explaining their input. Chapter 5 describes the role of model suppressions in E-GAS and
describes all suppressions available to the user. Chapter 6 describes the operation and type of data
required for the E-GAS National Model (Tier 1). Chapter 7 provides similar descriptions of the
Regional Model (Tier 2), and Chapter 8 describes the Growth Factor Module (Tier 3). Chapter
9 identifies contacts for further information regarding the operation of E-GAS and the logic of the
system.
This document only addresses the use of the E-GAS model for economic and emissions
modeling. Background material regarding economics and economic forecasting techniques are
available from a variety of sources, including the E-GAS Reference Manual.6
1.3 BEFORE USING THE SYSTEM
The program has been designed for an IBM-compatible personal computer environment. The
system requires the following minimum hardware configurations:
IBM 80386 or 100 percent compatible personal computer
Math coprocessor
580 Kilobytes of Free Conventional Memory
100 Megabytes of available fixed disk storage
VGA graphics capabilities
DOS 5.0 or higher
51A or 3x/2 inch floppy disk drive
CH-95-51 1-4
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1.4 CONCEPTS AND KEYWORDS
The following definitions present the major keywords and expressions as used in this guide.
Baseline Forecast: The default economic activity forecast without any policy variable
changes.
Demand Data: Demand for products is usually measured in dollars and in many models is
considered equal to the level of spending for a type of product. Final demand represents the
demand for a finished product. Regional consumer and government spending are
representative of final demand in an area. In contrast, industrial demand for products is
typically for subsequent use in producing another product.
Growth Factor Module: The third tier of E-GAS. This system translates economic activity
data from the first two tiers into source classification code (SCC)-level growth factors.
Model Response Suppression: When running a regional simulation in E-GAS the user is
given the option of suppressing model responses. Such suppressions dissolve links between
key elements of the model, thus changing the simulation.
National REMI Forecast: An economic activity forecast for the entire United States. The
user is given the choice of two forecasts: BLS and WEFA.
Policy Variables: E-GAS provides policy variables that can be used in scenario testing for
a region. Changing policy variables allows the user to simulate the economic impact of
anticipated government policy changes, market changes, or other exogenous changes to the
regional economy. The effect of a policy change is the difference between a baseline forecast
and the simulation forecast with policy variable changes.
Regional REMI Model: An economic model for a subset, or region, of the country.
Relative Costs/Prices: Some of the policy variables that can be defined in E-GAS are
described as relative costs or prices. In these cases, the default cost per unit represents the
average cost for the nation and is standardized to a value of one (1). Therefore, only the
relative change in cost needs to be entered, rather than the actual local cost. If default =1.0
and a 10 percent increase in the price of gasoline was entered, it would indicate a relative
gasoline cost of 1.1. A 10 percent decrease would indicate a 0.9 relative cost.
REMI Model: An economic model developed by Regional Economic Models, Inc. REMI
models are incorporated into E-GAS to forecast economic activity.
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Simulation Forecast: An economic activity forecast allowing policy variable changes.
Model responses can be suppressed in the simulation forecasts. If model responses are
suppressed in a simulation, a baseline forecast is also created using the model suppression.
Tiers: E-GAS is a series of three related tiers. The tiers must be executed consecutively,
but may be run any number of times before proceeding to the next. The tiers are as follows:
- Tier 1: National Economic Forecast
- Tier 2: Regional Economic Forecast
- Tier 3: Growth Factor Computations
1.5 PROGRAM INPUT AND USER GUIDE SYNTAX
E-GAS is a menu-driven system that guides the user through a series of screens which collect
information for adapting the model to the user's needs. User input is limited to selecting menu
items and setting parameters by entering data in text boxes.
It should be noted that, in both the E-GAS system and this guide, references to specific
computer keys are enclosed with < > symbols: for example, the Escape key is identified as
, the Control key is < Ctrl>, and the function keys use notation.
Menu screens offer choices regarding progress through E-GAS. Vertical and horizontal
movement is brought about with the cursor control keys (Up, Down, Left, and Right arrows).
These screens only offer choices of data entry screens or other menu screens. Cursor keys are used
to highlight the desired choice. The < Enter> key is then pressed to select the option. Pressing
the highlighted letter in the choice can also select the option.
Text boxes allow users to answer system questions necessary for model execution. Data can
be entered by basic typing, edited with the < Backspace> and cursor keys, and accepted with the
< Enter > key.
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1.6 REFERENCES
1. U.S. Environmental Protection Agency. Procedures for Preparing Emissions Projections.
EPA-450/4/91-019 (NTIS PB91-242404). Office of Air Quality Planning and Standards,
Research Triangle Park, NC. July 1991.
2. U.S. Department of Commerce. BEA Regional Projections to 2040, Volume 1: States.
Bureau of Economic Analysis. Washington, DC. 1990.
3. U.S. Department of Commerce. BEA Regional Projections to 2040, Volume 2: Metropolitan
Statistical Areas. Bureau of Economic Analysis. Washington, DC. 1990.
4. U.S. Department of Commerce. BEA Regional Projections to 2040, Volume 3: BEA
Economic Areas. Bureau of Economic Analysis. Washington, DC. 1990.
5. U.S. Environmental Protection Agency. VMT Forecasting and Tracking Guidance, Section
187. (NTIS PB92-164961). Office of Mobile Sources. Ann Arbor, MI. January 1992.
6. Young, T., and R. Capone. Economic Growth Analysis System: Reference Manual Version
3.0. EPA-600/R-95-132a. U.S. Environmental Protection Agency, Air Pollution Prevention
and Control Division, Research Triangle Park, NC. August 1995.
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CHAPTER 2
GETTING STARTED
2.1 INSTALLING E-GAS
E-GAS can be installed through the following steps:
1. Place the E-GAS Program Diskette 1 in the appropriate disk drive.
2. Switch to the floppy disk drive containing the E-GAS diskette.
e.g.: A:
3. Run the Install Program.
e.g.: INSTALL
4. Follow instructions printed to the screen to select installation disk and path.
The install routine will create the specified directory on the destination (fixed) disk drive.
If no directory is entered, the install routine will create an \EGAS directory. Once installation is
complete, the E-GAS system will automatically be started and the title screen will appear.
2.2 RUNNING E-GAS
After E-GAS has been installed, the system can easily be run by:
1. Setting the default drive to the fixed disk containing E-GAS.
e.g.: C:
2. Setting the default directory to the one chosen when installing the system.
e.g.: CD \EGAS
3. Typing EGAS < Enter > at the DOS prompt.
Upon successful start-up of the system, the title screen is presented, asking the user to press any
key to continue.
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2.3 MAIN MENU
After leaving the title screen, the user arrives at the Main Menu.
Economic Growth Analysis System
E-GflS E-GAS E-GflS E-GAS E-GflS E-GAS E-GAS E-GAS E-GAS
E-GAS E-GAS E-GAS E-GflS E-GAS E-GAS E-GAS E-GAS E-G
E-GAS E-GAS F \mmmmi\ VM\\\\\nmmmSSS\ ° E-GAS E-GAS E
Jl E-GflS Growth Factors .
AS E-GAS E-GAS E-lmil!lt«iJiliHA.MMyfiE-GAS E-GAS E-GAS
E-GAS E-GAS E-GAS BSB^^^BI E~GflS E~^^ E~GfiS
E-GAS E-GAS E-GAS ISJSSSSSS^ffip E-GAS E-GAS E-G
E-GAS E-GAS E-GAS E-GAS E-GAS E-GAS E-GAS E-GAS E
AS E-GAS E-GAS E-GAS E-GAS E-GAS E-GAS E-GAS E-GAS
E-GAS E-GAS E-GAS E-GAS E-GAS E-GAS E-GAS E-GAS E-GAS
E-GAS E-GAS E-GAS E-GAS E-GAS E-GAS E-GAS E-GAS E-G
E-GAS E-GAS E-GAS E-GAS E-GAS E-GAS E-GAS E-GAS E
Figure 2-1. Main menu.
The user has the option of using the E-GAS system to develop the growth factors or using
the BEA growth factors. If the user selects the BEA growth factors option, the system provides
a message informing the user that neither the economic data from E-GAS nor any of the E-GAS
modules will be used to develop these growth factors. This screen is shown in Figure 2-2. The
user may return to the menu by pressing < F4 > or continue by pressing < F3 >. The full text
of this message may be found hi Appendix D along with the output file naming conventions.
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== Economic Growth Analysis System =
E-GflS E-GfiS E-GflS E-GflS E-GflS E-GflS E-GflS E-GflS E-GAS
AS
EH
AS
E-
to continue to return to Menu
The utility you haue selected to use to develop growth factors for your
geographic area is the BEAFAC pro gran fron the Urban Airshed ModeKUAMV
Regional Oxidant Model (ROM) Emissions Preprocessor Systen (EPS). This
program is a linear interpolation of the projected data points provided
by the Bureau of Economic Analysis (BEA). The BEAFAC progran does not
allow any user options (e.g., selection of a national nacroeconomic
forecast).
This utility does not input/output any of its economic data to or
through the REMI models or any part of the main E-GAS model. There
are in fact no economic modeling interactions between this utility and
the rest of E-GAS.
E-GAS E-GAS E-GAS E-GAS E-GAS E-GAS E-GAS E-GAS E-G
E-GAS E-GAS E-GAS E-GAS E-GAS E-GAS E-GAS E-GAS E
Figure 2-2. BEA module message.
If the user continues using the BEA option, the system allows for selecting the specific years
and counties which can be output. This option provides either a 2-digit SIC or SCC level output
file. The process for selecting the file format, years, and counties is the same as the one used in
Tier 3 of the E-GAS system. Chapter 8 contains the instructions and sample screens used in these
selections.
2.4 E-GAS MAIN MENU
Upon selecting the E-GAS growth factors option, the user arrives at the E-GAS Main Menu.
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E-CfiS
B
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E SOS E 80S E CfiS E
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n
isasafsass
B
E-SftS
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Figure 2-3. E-GAS main menu.
The user can advance to the major tiers of E-GAS through the Main Menu. Options can be
chosen by pressing the first letter of the option name or by highlighting the choice and pressing
the key. The Main Menu's options are as follows:
National Economic Forecast: This option allows the user to create a national-level
economic forecast and is Tier 1 of the three-part process of creating estimated growth
factors; it generates data to drive the Regional Economic Forecast (Tier 2). This tier may
be rerun any number of times before proceeding to Tier 2. Use of the national model is
discussed in Chapter 6 of this guide.
Regional Economic Forecast: This choice allows the user to develop a regional economic
forecast. This is Tier 2 of the three-part process of creating estimated growth factors which
generate data to drive the Growth Factor Computations (Tier 3). This tier may be rerun any
number of times before proceeding to Tier 3. Use of the regional model is discussed in
Chapter 7 of this guide.
Growth Factor Computations: This is the third tier where growth factors are generated
and written to files in the current subdirectory. Tier 3 is discussed in Chapter 8.
Print User Assumptions: This option prints the user assumptions.
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About E-GAS: This provides a summary of the E-GAS program and its components.
Exit: This option returns the user to the operating system after leaving E-GAS.
2.5 E-GAS UTILITIES
Several features are available to E-GAS users throughout the three tiers of the system.
These features are available to users whenever they are indicated on the information bars.
Figure 2-4, from the Regional Model Tier, illustrates some of these options.
Figure 2-4. E-GAS utilities.
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The E-GAS utilities include the following:
Help screens summarizing system operation
User Assumptions under which the model is currently being run
Abort Execution option (Tiers 1 and 2 only)
2.5.1 Help
Pressing while running E-GAS or from the menu will display help text or
a menu of topics associated with the part of E-GAS currently being used. When the system is at
the menu, the Help screen is a menu from which the user can highlight the preferred topic and
select it for review by pressing < Enter >. The Help provides information about the
specific topic and its relation to the current execution point of the system. Help screens include
instructions on closing the help function and returning to regular system operation.
2.5.2 User Assumptions
Pressing while running E-GAS returns information on the user assumptions under
which the model is operating. The assumptions including the chosen national model, changes in
policy variables, and model response suppressions are summarized in full-screen windows. The
assumptions are presented for the current tier, if it has previously been run, as well as preceding
tiers.
2.5.3 Abort Execution
Pressing < F10 > while the system is performing calculations will end the data processing
and return the user to the menu bar. This is convenient when the user realizes that the current tier
has been misspecified through choice of an inappropriate model, policy variable changes, or model
response suppressions. Aborting execution of E-GAS calculations does not undermine data from
previous runs of the current tier or data from other tiers. This option is only available in Tiers
1 and 2 of the system.
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CHAPTERS
ECONOMIC MODELS IN E-GAS
3.1 INTRODUCTION
E-GAS is designed such that growth factor projection scenarios for each nonattainment area
and attainment portion of States can be made using a common assumption about future U.S.
economic activity. The national economic forecasts in E-GAS can provide a common forecast
with which to forecast regional economic growth. The nature of ozone formation requires
attention to the location as well as the level of economic activity. National forecasts provide
estimates of total economic activity. The regional model will distribute this activity among U.S.
urban areas, States, and regions. The spatial characteristics of the regional forecasts are designed
to meet the needs of the photochemical models used by the ozone nonattainment areas.
A major component of the E-GAS system is the REMI EDFS-14 economic model. The
major advantage of the REMI system is its ability to distribute modeled national growth to smaller
modeling regions comprising the United States. The REMI model also contains a national
economic growth model, which creates national growth projections for distribution by the regional
model. The REMI national model can create forecasts from its own data or other compatible
national forecasts. E-GAS allows the user to specify national macroeconomic forecasts to produce
the outputs necessary to run the regional model.
In the REMI regional models, growth is affected by a number of factors, including the
performance of the national economy and the relative costs of doing business in the modeled
region. The relative costs of doing business are determined endogenously, although the user may
simulate policies which would affect the relative costs in a region. The growth or decline of the
national economy, however, is determined outside of the regional model.1 The choice of national
forecast is left solely to the user. This choice can have a large impact on the estimates of growth
in the region being modeled.
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3.2 THE BLS / REMI U.S. FORECAST
The REMI U.S. forecast is based on the BLS Trend-2000 forecast. The BLS forecast
provides "fundamental information" for use in the REMI national and regional models. The
methodology for projecting U.S. final demand by industry relies on the creation of technical
coefficient matrices for each historical and forecasted year. This methodology involves
developing an input-output model for the years for which BLS provides input-output accounts
(1982, 1986, and 2000).2 The BLS forecasts include employment and output by industry, as well
as GNP. The final demand components of the BLS forecast are used to drive the input-output
models, resulting in a prediction of intermediate demand for and output by industries.
3.3 WHARTON ECONOMETRIC FORECASTING ASSOCIATES (WEFA)
The WEFA Group produces short- and long-term economic forecasts of U.S. economic
activity. The short-term forecasts range from 10 to 13 quarters (2.5 to 3.25 years) and are issued
monthly. The long-term forecasts are 25-year forecasts which are issued quarterly. In addition to
the baseline short-term forecast, the WEFA Group provides two alternative forecasts focusing on
macroeconomic risks and their probable effects on industries. The 25-year forecasts include trend,
cycle, and two alternative forecasts.3
The WEFA Group uses Mark 9, a quarterly economic model developed at WEFA, to produce
its short- and long-term forecasts. The model is comprised of over 1200 equations and contains
a "satellite" industry model which produces detailed industrial forecasts using outputs from the core
macroeconomic model.4 The Mark 9 model contains the following nine major sectors:
Personal Consumption Expenditures
Fixed Investment
Inventory Investment
Government
International Trade
Labor Market
Wages and Prices
Financial Market
Income
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Variables included in the WEFA model include consumption, investment, income, and inflation
data from the National Income and Product Accounts; population, employment, and wage rate data
from the BLS; industrial production data from the Federal Reserve Board; and demand, production,
and price data for the auto, housing, and energy sectors of the economy.4
The long-term economic forecasts are issued in a two-volume report. The first volume of the
report covers the trend or moderate growth scenario and contains an overview of the forecast results
and detailed sector reviews of the population, housing, investment, government, inflation, labor
market, industrial activity, and energy forecasts in addition to tables detailing the sector forecasts.4
The REMI models may be run using 92 forecasted variables from WEFA. These 92 variables
include 25 final demand variables. WEFA also forecasts housing and energy variables which may
be used in E-GAS development and simulations. Mark 9 forecasts detailed energy price, supply,
demand, and consumption variables. The model also forecasts housing variables including housing
starts, sales, stocks, and prices.
3.4 REFERENCES
1. Regional Economic Models, Inc. Operator's Manual for a Single Region EDFS-14
Conjoined Forecasting and Simulation Model. REMI Reference Set, Volume 2. Amherst,
MA. 1991.
2. Shao, G., and G. Treyz. Building a U.S. and Regional Forecasting and Simulation Model.
Research Paper. Regional Economic Models, Inc. Amherst, MA. 1991.
3. Randall, T., Wharton Econometric Forecasting Associates. Telecon with Teresa Lynch,
Alliance Technologies Corporation. Chapel Hill, NC. April 1992.
4. Wharton Econometric Forecasting Associates. Mark 9 Model Reference. The WEFA Group.
Bala Cynwyd, PA. January 1990.
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CHAPTER 4
POLICY VARIABLE CHANGES
4.1 INTRODUCTION
By changing policy variables, the user is allowed to simulate the economic impact of
anticipated government policy changes, market changes, or other exogenous changes to the
regional economy. The effect of a policy change is the difference between a baseline forecast and
the simulation forecast with policy variable changes.
In the E-GAS model, there are over 100 regular economic policy variables, translator policy
variables (which control combinations of economic policy variables), and population variables that
can be adjusted. These variables are accessed from the REMI EDFS-14 model and offer scenarios
for changes in tax rates (corporate profit tax, equipment tax, investment tax, personal income tax,
and property tax), costs (including relative production cost, import cost, and export cost), wage
rate, employment transfer payments, purchasing power, and final demand.
Policy variables have default values for baseline scenarios. Variables that describe additive
changes have defaults of 0, and multiplicative variables use 1 for the default. Therefore, entered
values for additive changes will represent the injection (of dollars, employees, etc.) into the
economy and values for multiplicative phenomena will represent the ratio of the new value (cost,
tax points, etc.) to the default.
The policy variables in E-GAS are grouped into three categories: (1) regular economic
policy variables, (2) translator variables, and (3) population variables. Variable changes may have
any number of decimal places and may be positive or negative. These categories are broken into
subcategories containing the individual variables that can be changed by the user. Category,
subcategory, and variable descriptions follow. The numbers in parentheses are two-digit Standard
Industrial Classification (SIC) codes which apply to the policy variable.
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4.2 REGULAR POLICY VARIABLES
Employment
EMPLOYMENT CHNG - DURABLE(24,25,32-39) Durable Goods
EMPLOYMENT CHNG - NONDUR.(20-23,26-31) Nondurable Goods
EMPLOYMENT CHNG - MINING(10,12-14) Mining
EMPLOYMENT CHNG - CONSTRUCTION(15-17) Construction
EMPLOYMENT CHNG - TRANSP+PUB UT(40-49) Transportation and Public Utilities
EMPLOYMENT CHNG - FIN, INS, + RE(60-67) Finance, Insurance, and Real Estate
EMPLOYMENT CHNG - RETAIL TRADE(52-59) Retail Trade
EMPLOYMENT CHNG - WHOLESALE TR(50,51) Wholesale Trade
EMPLOYMENT CHNG - SERVICE(70-79,80-89) Services
EMPLOYMENT CHNG - AGRI/F/F SERV(07-09) Agriculture, Farm, and Fishing Services
EMPLOYMENT CHNG - STATE & LOCAL GOVT State and Local Government
EMPLOYMENT CHNG - FEDERAL CIVILIAN Federal Civilian Government
EMPLOYMENT CHNG - FEDERAL MILITARY Federal Military
EMPLOYMENT CHNG - AGRICULTURE Agriculture
Policy variables for employment can be used to simulate the growth of the labor force that
is not attributable to factors from within the region. For example, the opening of a major
appliance manufacturing factory in the region would increase employment in the durable goods
sector. The value entered should be in thousands (1000s) of employees.
Non-government Final Demand
FINAL DEM - PCE AUTOS & PARTS Autos and Parts
FINAL DEM - PCE FURN & HH EQUP Furniture and Household Equipment
FINAL DEM - PCE OTHER DURABLES Other Durables
FINAL DEM - PCE FOOD & BEVERAGES Food and Beverages
FINAL DEM PCE CLOTHING AND SHOES Clothing and Shoes
FINAL DEM PCE GASOLINE & OIL Gasoline and Oil
FINAL DEM PCE FUEL OIL & COAL Fuel Oil and Coal
FINAL DEM PCE OTHER NONDURABLES Other Nondurables
FINAL DEM PCE HOUSING Housing
FINAL DEM - PCE HSEHLD OPERATION Household Operation
FINAL DEM - PCE TRANSPORT + PUB UT Transportation and Public Utilities
FINAL DEM - PCE HEALTH SERVICES Health Services
FINAL DEM - PCE OTHER SERVICES Other Services
FINAL DEM - INV RESIDENTIAL Residential Investment
FINAL DEM - INV NON RESIDENTIAL Nonresidential Investment
FINAL DEM - INV PROD DUR EQUIP Durable Equipment Investment
Non-government final demand [i.e., personal consumption expenditures (PCE)] represents
consumer spending and investment in the region. The combination of this section and government
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spending represents final demand for the region. Intermediate demand for products to
subsequently be used in industry is not included. This section can be used to anticipate economic
impacts of changes in consumer behavior. For example, the economic effects of introducing
appealing, popular electric automobiles could be explored by deflating the consumer spending for
gasoline and oil increasing the Transportation and Public Utilities (in areas where electricity is
publicly provided). Consumer demand/spending should be entered as millions of dollars.
Government Final Demand
FINAL DEM - GOV ST/LOC-EDUC State and Local Government Education
FINAL DEM - GOV ST/LOC HLTH/WLFAR State and Local Government Health and Welfare
FINAL DEM - GOV ST/LOC SAFETY State and Local Government Public Safety
FINAL DEM - GOV ST/LOC OTHER State and Local Government Other
Government Final Demand represents the public sector's purchase of finished products. For
example, purchase of new fire-fighting equipment would represent government spending for
safety, but any increases in staff expenses would represent an increase in employment.
Government demand/spending should be entered as millions of dollars.
Relative Cost Change
REL COST CHANGE - DURABLE(24,25,32-39) Durable Goods
REL COST CHANGE - NONDUR. (20-23,26-31) Nondurable Goods
REL COST CHANGE - MINING(10,12-14) Mining
REL COST CHANGE - CONSTRUCTION(15-17) Construction
REL COST CHANGE - TRANSP+PUB UT(40-49) Transportation and Public Utilities
REL COST CHANGE - FIN, INS, + RE(60-67) Finance, Insurance, and Real Estate
REL COST CHANGE - RETAIL TRADE(52-59) Retail Trade
REL COST CHANGE - WHOLESALE TR(50,51) Wholesale Trade
REL COST CHANGE - SERVICE(70-79,80-89) Services
REL COST CHANGE - AGRI/F/F SERV(07-09) Agriculture, Farm, and Fishing Services
Relative cost change represents changes in production costs due to a policy change. The
relative change in costs can be entered as millions of dollars per year or as percent change, where
entering -1.0 would decrease the value by one percent and entering 1.0 would increase it by one
percent. The choice of dollars or percent must be used for all changes within a single simulation.
Cost changes from additional health regulations placed on agriculture, therefore, would involve
entry of a positive value for the AGRI/F/F variable.
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Industry Demand
DEMAND CHANGE - DURABLE(24,25,32-39) Durable Goods
DEMAND CHANGE - NONDUR.(20-23,26-31) Nondurable Goods
DEMAND CHANGE - MINDSfG(10,12-14) Mining
DEMAND CHANGE - CONSTRUCTION(15-17) Construction
DEMAND CHANGE - TRANSP+PUB UT(40-49) Transportation and Public Utilities
DEMAND CHANGE - FIN, INS, + RE(60-67) Finance, Insurance, and Real Estate
DEMAND CHANGE - RETAIL TRADE(52-59) Retail Trade
DEMAND CHANGE - WHOLESALE TR(50,51) Wholesale Trade
DEMAND CHANGE - SERVICE(70-79,80-89) Services
DEMAND CHANGE - AGRI/F/F SERV(07-09) Agriculture, Farm, and Fishing Services
Industry demand describes sales of intermediate goods that will be incorporated into the final
product of another industry. Increased sales of motors for electric vehicles would be an increase
in industry demand. Changes in industry demand are entered in millions of dollars.
(Relative) Fuel Costs
REL ELEC FUEL COSTS CHNG - COMM Relative Price of Commercial Electric
REL ELEC FUEL COSTS CHNG - IND Relative Price of Industrial Electricity
REL NATRL GAS FUEL COSTS CHNG - COMM Relative Price of Commercial Natural Gas
REL NATRL GAS FUEL COSTS CHNG - IND Relative Price of Industrial Natural Gas
REL RESIDUAL FUEL COSTS CHNG - COMM Relative Price of Commercial Oil
REL RESIDUAL FUEL COSTS CHNG -IND Relative Price of Industrial Oil
Relative fuel cost change represents changes in industrial and commercial fuel costs due to
a policy change. The relative change in costs needs to be entered as a percent, where entering
-1.0 would decrease the value by one percent and entering 1.0 would increase it by one percent.
Tax Rates
CORPORATE PROFIT TAX RATE Corporate Profit Tax Rate
EQUIPMENT TAX RATE Equipment Tax Rate
INVESTMENT TAX CREDIT Investment Tax Credit
Changes in business tax rates attributable to policy changes are entered as a change in
percentage points charged.
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PERSONAL TAXES Personal Taxes
Changes in personal taxes attributable to policy changes are entered as a change in millions
of dollars collected.
Purchasing Power
CHANGE IN PURCHASING POWER Change in Purchasing Power
Purchasing power represents the amount of disposable income available to consumers. The
value entered represents the decrease in purchasing power experienced by consumers. Therefore,
the decrease in a community's disposable income associated with automobile tire disposal fees
would be entered as a positive number. Changes in the purchasing power of consumers are
entered as millions of dollars.
4.3 TRANSLATOR POLICY VARIABLES
Translator policy variables can be used to automatically change the series of regular
economic policy variables associated with the output of a variety of industrial/service/government
sectors. These changes may be entered as millions of nominal or real dollars. The choice of
nominal or real dollars must be applied to all changes within a single simulation.
New Utilities and Facilities
NEW COMMUNICATIONS FACILITIES
NEW ELECTRIC UTILITY FACILITIES
NEW WATER SUPPLY AND SEWER FACILITIES
NEW GAS UTILITY AND PIPELINE FACILITIES
NEW ROADS
NEW LOCAL TRANSIT FACILITIES
NEW CONSERVATION AND DEVELOPMENT FACILITIES
Changes in production from new utilities and facilities can be simulated by entering the
changes in spending in millions of dollars.
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Transit
LOCAL GOVERNMENT PASSENGER TRANSIT
STATE AND LOCAL ELECTRIC UTILITIES
STATE AND LOCAL GOVT ENTERPRISES, NEC
Changes in production from transit and other public enterprises can be simulated by entering
the changes in spending in millions of dollars.
Purchase of Electricity and Natural Gas
ELECTRICITY; PCE
NATURAL GAS; PCE
Changes in the final demand for electricity and natural gas should be entered as millions of
dollars.
Local Transportation Expenditures
BUS AND TROLLEY CAR TRANSPORTATION; PCE
TAXICABS; PCE
COMMUTER RAIL TRANSPORTATION; PCE
RAILWAY TRANSPORTATION; PCE
INTERCITY BUS; PCE
Changes in final demand for die various modes of local transportation should be entered in
millions of dollars.
State and Local Government Expenditures
ELEMENTARY AND SECON. EDUCATION; STATE & LOCAL GOVT (SL GOVT)
HIGHER EDUCATION; SL GOVT
OTHER EDUCATION AND LIBRARIES; SL GOVT
HEALTH AND HOSPITALS; SL GOVT
PUBLIC ASSISTANCE AND RELIEF; SL GOVT
SEWERAGE; SL GOVT
SANITATION; SL GOVT
POLICE; SL GOVT
FIRE; SL GOVT
CORRECTIONS; SL GOVT
HIGHWAYS; SL GOVT
WATER AND AIR FACILITIES; SL GOVT
TRANSIT UTILITIES; SL GOVT
OTHER COMMERCE AND TRANSPORTATION; SL GOVT
GAS AND ELECTRIC UTILITIES; SL GOVT
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WATER; SL GOVT
URBAN RENEWAL AND COMMUNITY FACILITIES; SL GOVT
NATURAL AND AGRICULTURAL RESOURCES AND RECREATION; SL GOVT
Changes in final demand for the services of local government should be entered in millions
of dollars.
4.4 POPULATION VARIABLE
POPULATION AMENITY TERM
The population amenity term represents changes in the quality of life and appeal of a region.
This term is an indicator for the morbidity, crime, visibility or other characteristics of a region.
This is defined as a real wage gain to individuals moving into and out of the area (migrants) and
can be interpreted as the portion of a migrant's salary that is equivalent to the quality of living hi
the area.
The values for the population amenity term are entered as the equivalent proportion of
migrant earnings gained in quality of life. For example, if it is estimated that migrants value the
effects of certain pollution control measures at one half of one percent of their income, then the
entered value should be 0.5. If the negative environmental and convenience effects of reducing
public transit is equivalent to losing one percent of the migrants' income, then the entered value
should be -1.0.
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CHAPTERS
MODEL SUPPRESSIONS
When running a regional simulation in E-GAS, the user is given the option of suppressing
model responses. Such suppressions dissolve links between key elements of the model. Model
suppressions are designed to provide flexibility in modeling policy changes; therefore, model
suppressions cannot be imposed during baseline forecasts and should only be imposed in
conjunction with a policy variable change in a simulation forecast. When a model response is
supressed, a baseline forecast will be created before developing the simulation forecast. The
decision to suppress model responses should be carefully considered, since changes in the structure
of the model can reverberate throughout the forecasting process and undermine the credibility of
the results. The available model suppressions are described below.
Wage Response Suppression: If this response is suppressed, the wage rates in the
baseline forecast and the simulation will not be connected to changes in occupational
demand or changes in relative economic opportunity (REO).
Labor Intensity Response Suppression: If this response is suppressed, labor
intensity in the baseline forecast and in the simulation is not influenced by local
determinants of the labor force, but instead maintains the value appearing for the most
recent year recorded by the model.
Net Migration Response Suppression: If this response is suppressed, net migration
will not respond to changes in REO, relative wage rate (RWR), and relative wage mix
(RWM) and will be kept at zero in the baseline forecast and the simulation.
Regional Price Coefficients' (RFC) Response to GRP and Selling Price
Suppression: When this response is suppressed, the regional purchase coefficients
are fixed for the baseline and simulation forecasts at the value appearing for the most
recent year recorded by the model.
RFC Response to GRP Only Suppression: This suppression changes exogenous
RFC response to GRP to endogenous response (as output expands, RPCs will
increase, and vice versa), but retains endogenous response to selling price with either
setting.
Export Response Suppression: If this response is suppressed, exports will not
respond to changes in relative costs or changes in profitability.
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Consumer Price Index CPI-WAGE Response Suppression: When this response is
suppressed, increases in the consumer price index (CPI) are not transmitted to wages.
House-Land Price Response Suppression: If this response is suppressed, housing
and land prices will not fluctuate with the market, but will be fixed in the forecast
years with the value appearing for the most recent year recorded by the model.
Property Income Response to Population Suppression: If this response is
suppressed, property income will not respond to a change in the population density
(population of the region relative to the United States).
Transfer Payment Response to Dependent Population Suppression: Similar to
property income, transfer payments will not respond to a change in the dependent
population of the region relative to the United States.
Local Consumption Suppression: If this suppression is used, local consumption will
not respond to a change in the real disposable income of the region relative to the
United States in the forecast years.
Investment Suppression: If this response is suppressed, investment will not respond
to changes in the local optimal capital stock.
Changing the Default Status of Stock Adjustment Investment Process: This
option changes default Stock Adjustment Investment Process' status (either replaces
old investment equations with stock adjustment investment equations, or vice versa).
Use of the stock adjustment investment equations leads to more immediate investment
impacts during simulations. The short-term properties will also differ.
Government Demand Response to Population Suppression: If this response is
suppressed, government demand will not respond to a change in the population of the
region relative to the United States.
Changing the Default Status of Employees Per Dollar Value Added (EPV):
Endogenous EPV will endogenize productivity so that when output increases,
productivity will increase accordingly in the short run. This results in less new
employment in the initial years of a simulation.
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CHAPTER 6
TIER 1: THE NATIONAL MODEL
6.1 INTRODUCTION
The national tier of E-GAS provides forecasts of national economic activity to drive the
regional economic models and, subsequently, the growth factor tier. The user may choose one
of two forecasts (BLS or WEFA) to create the national forecast. The growth forecasted by this
model is then distributed among and within regions hi Tier 2. The national tier may be changed
and rerun any number of times before proceeding to Tier 2. Unless the user chooses to change
the national forecast, the national model needs to be run only once before advancing to or
subsequently rerunning the Regional Tier. Output from the National Tier is maintained through
multiple runs of subsequent tiers.
6.2 NATIONAL MODEL MAIN SCREEN
Upon entering the subsystem, the user is presented with the screen shown hi Figure 6-1.
At the top of the screen are options that can be selected by pressing the first letter of the option
or highlighting the choice and pressing the < ENTER > key. These options are discussed in
Sections 6.3 and 6.4. The E-GAS Utilities found in the information bar at the bottom of the
screen are described in Section 2.4.
6.3 BASELINE FORECAST
Choosing the Baseline Forecast option from the National Model Main Screen leads to the
display of the screen shown in Figure 6-2. The menu items are the two national forecasts which
can be baseline forecasts. These forecasts include:
BLS: Bureau of Labor Statistics
WEFA: Wharton Econometrics Forecasting Associates
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Met in MKIIU
Figure 6-1. National model main screen.
Main MBMU
Figure 6-2. National model baseline forecast screen.
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Further information on these forecasts can be found in this tier's help screens and Chapter 3 of
this guide.
6.4 MAIN MENU
Choosing the Main Menu option from the National Model Main Screen returns the user to
the E-GAS Main Menu.
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CHAPTER?
TIER 2: THE REGIONAL MODEL
7.1 INTRODUCTION
The regional tier of E-GAS provides economic forecasts for the UAM and ROM modeling
regions. E-GAS includes separate economic forecasts for extreme, severe, serious, and
multi-State moderate ozone nonattainment areas, as well as models for the attainment portions of
these States. In addition, an economic model for each State in a ROM modeling region is
included hi E-GAS.
The regional tier, Tier 2, takes input from the National Model and cannot be run unless that
model has been run at least once. Tier 2 can be adjusted and rerun any number of times without
rerunning the national tier, unless the user wishes to change the national forecast. The regional
tier must be run before proceeding to the Growth Factor Computations tier.
Model responses can be suppressed in a regional simulation. A baseline forecast is run
automatically using the model suppressions before the requested simulation is run.
A baseline forecast must be generated within Tier 2. Baseline forecasts use the
REMI/E-GAS default settings to distribute growth within the region. Simulation forecasts may
be run if the user wishes to change policy variables for any area within their region (policy
variables are described in Chapter 5). Tier 2 may be run several times before proceeding to the
growth factor computations (Tier 3). The latest regional model run will drive the growth factor
computations. The user may abandon the simulation forecast by running another baseline forecast
and advancing to the Growth Factor Computations. If the national forecast needs to be changed,
the user should return to Tier 1.
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7.2 REGIONAL MODEL TIER MAIN SCREEN
This is the regional model's main screen:
Ifs& ttm
Figure 7-1. Regional model main screen.
At the top of the screen are four options that can be selected by pressing the first letter of
the option or highlighting the choice and pressing the < ENTER > key. With the exception of
the HELP option, these options are discussed in Sections 7.3 through 7.5. The E-GAS Utilities
found in the information bar at the bottom of the screen are described in Section 2.4.
7.3 BASELINE FORECAST
Choosing the Baseline Forecast option from the Regional Model Main Screen causes
E-GAS to take the parameters from the selected national economic forecast and apply them to the
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regional modeling program. Upon completion of the regional baseline, the user is returned to the
Regional Model Tier Main Screen.
7.4 SIMULATION FORECAST
Regional simulation forecasting cannot be executed until a regional baseline scenario has
been run. Choosing the Simulation Forecast option from the Regional Model Main Screen, after
having run the baseline, leads to a sequence of screens soliciting input.
The user must provide additional information to execute simulation forecasts in Regional
Simulation Forecasting. The system requires the user to enter the ending year, as well as any
model suppressions (see Chapter 5 for an explanation of model suppressions). The user may then
change one or more policy variables for any of the areas within the user's region (Chapter 4
describes the E-GAS policy variables). Multiple policy variable changes should be made with
caution since excessive changes would distort any causality between results and policy variable
changes. After supplying all of the required additional information, the system processes the data
and returns the user to the Regional Model Main Screen.
7.5 MAIN MENU
Choosing the Main Menu option from the Regional Model Main Screen returns the user to
the E-GAS Main Menu.
7-3
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CHAPTERS
TIER 3: THE GROWTH FACTOR MODULE
8.1 INTRODUCTION
The growth factor tier in E-GAS translates changes in the economic activity levels of the
most recent regional forecast to growth factors for physical output, fuel consumption, and VMT.
These growth factors will be developed for two-, three-, and four-digit SIC levels depending on
available data for developing and disaggregating the factors. These SIC-level growth factors will
be matched with SCC codes. The final output from this tier will be ASCII files containing SCC
growth factors to be used for AIRS inventories.
The growth factor tier cannot be run unless Tiers 1 and 2 have been run, generating the
economic data necessary for energy consumption calculation. Tier 3 uses the following six
modules to calculate the activity growth factors from the diverse economic data produced by the
first two tiers:
Household Model of Energy by State (HOMES)
Commercial Sector Energy Model by State (CSEMS)
Industrial Regional Activity and Energy Demand (INRAD) Model
Electric Utility Model (EUMOD)
VMT Module
Physical Output Module
E-GAS's crosswalk module translates the energy consumption factors to point, area, and
mobile SCC growth factors. The output ASCII files are named:
RES_FUEL.SCC HOMES / residential fossil fuel
COM_FUEL.SCC CSEMS / commercial fossil fuel
IND_FUEL.SCC INRAD / industrial fossil fuel
ELECTRIC.SCC EUMOD / electric growth factors
VMT. SCC VMT / transportation
PHY.SCC PHYSICAL OUTPUT / industrial output
OTHER.SCC Growth for unclassified SCC's
The user can exit E-GAS to read and print the E-GAS output (SCC) files with an ASCII file
reader/editor.
O 1
CH-95-51 °"i
-------
8.2 OUTPUT FILE SELECTION SCREENS
The user has the opportunity to choose the layout of the E-GAS output files. The first data
entry screens of the Growth Factor Tier allow the user to choose the years and counties to be
included in the output files.
8.2.1 Output File Format Selection Screen
This screen follows the User Assumption screen series:
Figure 8-1. Output file format selection screen.
The user should use the up and down cursor keys to highlight desired format and press the
< Enter > key. Three output formats are available:
CH-95-51
8-2
-------
Standard E-GAS Format: The output data are aggregated by SCC and are prefaced with
a header describing the modeling regions represented, selected policy variable changes and
model suppressions, and the date and time that the file was generated.
EPS Format: The input format for the Emissions Preprocessor System (EPS) for the
UAM. This format does not include the data header found in the Standard E-GAS Format.
2-digit SIC Format: Output data are aggregated by SIC instead of SCC. This format
includes a header describing the modeling regions represented; selected policy variable
changes and model suppressions; and the date and time that the file was generated.
All three output formats are standard text files that can be read with text editors or imported into
analytical software. After the user has chosen a format, E-GAS proceeds to the Output File Year
Selection Screen. The E-GAS Utilities found in the information bar at the bottom of the screen
are described in Section 2.4.
8.2.2 Output File Year Selection Screen
The screen that appears after the file format has been chosen is shown in Figure 8-2. The
user should use up and down cursor keys to highlight desired years or the All Years option and
mark the highlighted selection by pressing the space bar. The user should press the < Enter >
key when all of the desired choices have been marked. E-GAS then proceeds to the Output File
Area selection screen. If All Years is one of the marked choices, the system will ignore any
individual year selections and print data for all of the available years.
The size of the output files will be significantly smaller if only the desired areas,
counties, and years are selected.
O -3
CH-95-51 °~J
-------
Years flvailaLle
Press: to Select/Deselect Items
to Continue Using Selected Items
t.n Return t.n Hi in MRnn
Selected items are identified bu a -f to their left.
PH f ffj, >r, > n^j, r ,11 *rrft*. r'/tf ' ~\* ft* *?fnrr - fi*!**p*wiqp v it y»K»- -
Figure 8-2. Output file year selection screen.
8.2.3 Output File Area/State/County Selection Screens
After the years to be included in output have been selected, the desired areas of the REMI
region can be chosen from the screen shown in Figure 8-3. The up and down cursor keys may
be used to highlight desired areas or the All Model Areas option and mark the highlighted selection
by pressing the space bar. The user should press the < Enter > key when all of the desired
choices have been marked.
After the user chooses the area of interest, States and counties within the chosen area can
be selected through similar screens. If there is only one county in the chosen State/area
combination, it is automatically selected and the county selection screen is not displayed.
Appendix A lists the E-GAS modeling areas and the States, counties and/or independent cities that
comprise each. The system proceeds to the VMT Data Source Screen after the areas, States, and
counties have been chosen.
CH-95-51
8-4
-------
ft veil I able HrtJrt
Boston firea
Greater Connecticut Urea
Portsmouth flrea
Prouidence flrea
Springfield Rrea
Rfist nf Nfiui HampshirH fir pa
Ma i nH firpa
Ti snrnII, «
Press: to Select/Deselect Items
to Continue Using Selected Items
tn Rfitiirn t.n hbin Mnnn
Selected items are identified hy a J" to their left.
Figure 8-3. Output file area selection screen.
8.3 VMT DATA ENTRY SEQUENCE
The user has several options for entering VMT data. The user can enter data from the
keyboard or through user-prepared files. The E-GAS VMT module can be chosen, avoiding any
need for user data, or the VMT section can be omitted from E-GAS if no VMT output is needed.
8.3.1
VMT Data Source Screen
The first screen in the VMT data entry sequence is shown in Figure 8-4. If the user selects
the E-GAS VMT module or elects to skip the VMT module, the system proceeds to calculate the
output files and returns to the Main Menu. If the Enter user VMT growth factors from the
keyboard or Enter user VMT growth factors from a file is chosen, the system advances to the VMT
Data Detail Screen. Pressing exits the Growth Factor Computations before data
processing begins.
CH-95-51
8-5
-------
Figure 8-4. VMT data screen.
8.3.2 VMT Data Detail Screen
When the Enter user VMT growth factors from the keyboard or Enter user VMT growth
factors from a file options are chosen from the VMT Data Screen, the screen shown in Figure 8-5
is produced. This screen is used to choose the VMT data inputs which are appropriate for the
level of detail found in the user's data. The higher levels of detail are accommodated by the
choices found lower on the list. If Enter user VMT growth factors from a file is chosen from the
VMT Data Screen, the user is prompted for the file name; if Enter user VMT growth factors from
the keyboard is chosen, the system moves to the appropriate VMT data entry screen. If the VMT
data are to be entered from the keyboard, the system will present the user with the Data Detail
Screen and Data Entry Screen for each county selected for output. Since there are no VMT
defaults for manual data entry, VMT calculations will not be performed on counties not addressed
in user output.
CH-95-51
8-6
-------
^;^^.mEI,^^
Be Iknap County:
Select one option
flnfi grnurth f antnr f nr a 1 1 UMT Sfts
nrniiith far.tnrR hy mart t.ypR
Growth factors bn road tnpe and vehicle twpe
Nu Hiuwlli fauLuib fur lliiu uuuulH
En Lu r
Eec exite
^i^::^ or exit by pressing . The three
available tables are shown in Figures 8-6, 8-7, and 8-8. Only the table chosen with the VMT
Data Detail Screen is produced by the system. The user will be presented with the Data Entry
Screen for each year selected to be output.
Since the system is capable of dealing with floating decimal points, an example entry for this
screen might be 0.1, 1.1, 1.123, or 1.1234.
Select each road type by using the < spacebar > in the USE column. An X will appear in
the USE column and the cursor will automatically tab over to the factor column. Pressing
< Enter > will send the cursor to the next road type selection in the USE column.
CH-95-51
8-7
-------
Figure 8-6. Single growth factor screen.
Crourth Factors by Road Type for the Vear 1991
RCIflD TVPE
Interstate: Rura1
nt.hfir Prinr.ipal RrtRrial: Rural
Minnr flrtfirial: Rural
Majnr CnllRr.t.nr: Knra I Tnt.a I
Minor Collector: Rural Total
Luua I; Ruia I
InLei tiLaLu; Urban
Olliui' Fi-««wayti & Exprtmttwayb ; Uibaii
Other Principal Hrterial: Urban
Minor Hrterial? Urban
Cnllfir.tnr: llrhnn
Loca1 : Urban
FfiCTOR
_ Select Road Tijpe Saue Exit Without Sauimj
ii^r^^M
Figure 8-7. Growth factor by road type screen.
CH-95-51
8-8
-------
Growth Factors by Utehicle and Road Types for Vear 1991
1. Interstate: Rural C 1
7.. flthfir Prinr.ipal Rrt.Rrial : Rural \ 1
.1. Minnr RrtRrial: Rural I" 1
4. Majnr Cnl Ifirtnr: Rural Tnt.a I F 1
5. Minor Collector: Rural Total [ ]
6. Luual: Rural [ 3
7. Inlt:islalt:: Urban [ ]
8. OUtwr FiHuwajjb & E.xpi HbBways: Urban' C 3
9. Other Principal Arterial: Urban C 3
10. Minor nrterial: Urban [ 3
11. CnllRr.tnr: Urban F 1
12. Local: Urban [ 3
Select Tl Scroll Saue Exit Without Saving
Figure 8-8. Growth factor by road and vehicle type screen.
Select each vehicle/road type by using the < spacebar >. An X will appear in the USE
column and the cursor will automatically tab over to the factor column. Pressing < Enter > will
send the cursor to the next vehicle/road type selection. The left column identifies vehicle types.
The following types are found in E-GAS:
LDGV - Light Duty Gasoline Vehicle
LDGT1 - Light Duty Gasoline Truck 1
LDGT2 - Light Duty Gasoline Truck 1
LDGT - Light Duty Gasoline Truck Total
HDGV - Heavy Duty Gasoline Vehicle
LDDV Light Duty Diesel Vehicle
LDDT - Light Duty Diesel Truck
HDDV - Heavy Duty Diesel Vehicle
CH-95-51
8-9
-------
CHAPTER 9
FOR FURTHER INFORMATION
In the event that the on-line help function and this user's guide are unable to answer
questions about E-GAS, please call Charles O. Mann of the U.S. Environmental Protection
Agency at (919) 541-4593 or write to:
Charles 0. Mann
APPCD/MD-62
U.S. Environmental Protection Agency
Research Triangle Park, NC 27711
Please have the following information available:
Hardware issues
hardware configuration
type of computer
amount of available memory
display type
peripherals
Any memory-resident software used including network drivers
The version of DOS being used
Specific description of the problem
CH-95-51
9-1
-------
APPENDIX A
E-GAS MODELING AREAS
CH-95-51
A-l
-------
BOSTON Nonattainment AREA - NE1
25 001 Massachusetts Barnstable
25 005 Massachusetts Bristol
25 007 Massachusetts Dukes
25 009 Massachusetts Essex
25 017 Massachusetts Middlesex
25 019 Massachusetts Nantucket
25 021 Massachusetts Plymouth
25 023 Massachusetts Suffolk
25 025 Massachusetts Worchester
33 Oil New Hampshire HiUsborough
GREATER CONNECTICUT Nonattainment AREA -
NE2
09 003
Connecticut
09 007 Connecticut
09 009 Connecticut
09 Oil Connecticut
09 013 Connecticut
09 015 Connecticut
Hartford
Middlesex
New Haven
New London
Tolland
Windham
PORTSMOUTH Nonattainment AREA - NE3
33 015 New Hampshire Rockingham
33 017 New Hampshire Stratford
PROVIDENCE Nonattainment AREA - NE4
44 001 Rhode Island Bristol
44 003 Rhode Island Kent
44 005 Rhode Island Newport
44 007 Rhode Island Providence
44 009 Rhode Island Washington
SPRINGFIELD Nonattainment AREA NE5
25 003 Massachusetts Berkshire
25 Oil Massachusetts Franklin
25 013 Massachusetts Hampden
25 015 Massachusetts Hampshire
ATTAINMENT PORTION OF NEW HAMPSHIRE
NE6
33 001 New Hampshire Belknap
33 003 New Hampshire Carroll
33 005 New Hampshire Cheshire
33 007 New Hampshire Coos
33 009 New Hampshire Grafton
33 013 New Hampshire Merrimack
33 019 New Hampshire
MAINE - NE7
23 001 Maine
23 003 Maine
23 005 Maine
23 007 Maine
23 009 Maine
Sullivan
Androscoggin
Aroostook
Cumberland
Franklin
Hancock
23 Oil Maine
23 013 Maine
23 015 Maine
23 017 Maine
23 019 Maine
23 021 Maine
23 023 Maine
23 025 Maine
23 027 Maine
23 029 Maine
23 031 Maine
VERMONT NE8
50 001 Vermont
50 003 Vermont
50 005 Vermont
50 007 Vermont
50 009 Vermont
50 Oil Vermont
50 013 Vermont
50 015 Vermont
50 017 Vermont
50 019 Vermont
50 021 Vermont
50 023 Vermont
50 025 Vermont
50 027 Vermont
Kennebec
Knox
Lincoln
Oxford
Penobscot
Piscataquis
Sagadahoc
Somerset
Waldo
Washington
York
Addison
Bennington
Caledonia
Chittenden
Essex
Franklin
Grand Isle
Lamoille
Orange
Orleans
Rutland
Washington
Windham
Windsor
NEW YORK-NEW JERSEY-LONG ISLAND
Nonattainment AREA - Ml
09 001 Connecticut
09 005 Connecticut
34 003 New Jersey
34 013 New Jersey
34 017 New Jersey
34 019 New Jersey
34 023 New Jersey
34 025 New Jersey
34 027 New Jersey
34 029 New Jersey
34 031 New Jersey
34 035 New Jersey
34 037 New Jersey
34 039 New Jersey
36 005 New York
36 047 New York
36 059 New York
36 061 New York
36 071 New York
36 079 New York
36 081 New York
36 085 New York
36 087 New York
36 103 New York
Fairfield
Litchfield
Bergen
Essex
Hudson
Hunterdon
Middlesex
Monmouth
Morris
Ocean
Passaic
Somerset
Sussex
Union
Bronx
Kings
Nassau
New York
Orange
Putnam
Queens
Richmond
Rockland
Suffolk
CH-95-51
A-2
-------
36 119 New York
Westchester
BALTIMORE Nonattainment AREA - M2
24 003 Maryland Anne Arundel
24 005 Maryland Baltimore
24 510 Maryland City of Baltimore
24 013 Maryland Carroll
24 025 Maryland Harford
24 027 Maryland Howard
PHILADELPHIA-WILMINGTON-TRENTON
Nonattainment AREA - M3
10 001 Delaware Kent
10 003 Delaware Newcastle
24 015 Maryland Cecil
34 005 New Jersey Burlington
34 007 New Jersey Camden
34 Oil New Jersey Cumberland
34 015 New Jersey Gloucester
34 021 New Jersey Mercer
34 033 New Jersey Salem
42 017 Pennsylvania Bucks
42 029 Pennsylvania Chester
42 045 Pennsylvania Delaware
42 091 Pennsylvania Montgomery
42 101 Pennsylvania Philadelphia
WASHINGTON, DC Nonattainment AREA - M4
11 Oil District of Columbia District of Columbia
24 009 Maryland Calvert
24 017 Maryland Charles
24 021 Maryland Frederick
24 031 Maryland Montgomery
24 033 Maryland Prince George's
51 510 Virginia City of Alexandria
51 013 Virginia Arlington
51 059 Virginia Fairfax
51 600 Virginia City of Fairfax
51 610 Virginia City of Falls Church
51 107 Virginia Loudoun
51 683 Virginia City of Manassas
51 685 Virginia City of Manassas Park
51 153 Virginia Prince William
51 179 Virginia Stafford
HUNGTON-ASHLAND Nonattainment AREA - M5
21 019 Kentucky Boyd
21 089 Kentucky Greenup
54 Oil West Virginia Cabell
54 099 West Virginia Wayne
ATTAINMENT PORTION OF NEW YORK - M6
36 001 New York Albany
36 003 New York Allegany
36 007
36 009
36 Oil
36 013
36 015
36 017
36 019
36 021
36 023
36 025
36 027
36 029
36 031
36 033
36 035
36 037
36 039
36 041
36 043
36 045
36 049
36 051
36 053
36 055
36 057
36 063
36 065
36 067
36 069
36 073
36 075
36 077
36 083
36 089
36 091
36 093
36 095
36 097
36 099
36 101
36 105
36 107
36 109
36 111
36 113
36 115
36 117
36 121
36 123
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
Broome
Cattaraugus
Cayuga
Chautauqua
Chemung
Chenango
Clinton
Columbia
Cortland
Delaware
Dutchess
Erie
Essex
Franklin
Fulton
Genesee
Greene
Hamilton
Herkimer
Jefferson
Lewis
Livingston
Madison
Monroe
Montgomery
Niagara
Oneida
Onondaga
Ontario
Orleans
Oswego
Otsego
Rensselaer
St. Lawrence
Saratoga
Schenectady
Schoharie
Schuyler
Seneca
Steuben
Sullivan
Tioga
Tompkins
Ulster
Warren
Washington
Wayne
Wyoming
Yates
ATTAINMENT PORTION OF NEW JERSEY
34 001 New Jersey Atlantic
34 009 New Jersey Cape May
34 041 New Jersey Warren
M7
CH-95-51
A-3
-------
ATTAINMENT PORTION
M8
42 001 Pennsylvania
42 003 Pennsylvania
42 005 Pennsylvania
42 007 Pennsylvania
42 009 Pennsylvania
42 Oil Pennsylvania
42 013 Pennsylvania
42 015 Pennsylvania
42 017 Pennsylvania
42 019 Pennsylvania
42 021 Pennsylvania
42 023 Pennsylvania
42 025 Pennsylvania
42 027 Pennsylvania
42 031 Pennsylvania
42 033 Pennsylvania
42 035 Pennsylvania
42 037 Pennsylvania
42 039 Pennsylvania
42 041 Pennsylvania
42 043 Pennsylvania
42 047 Pennsylvania
42 049 Pennsylvania
42 051 Pennsylvania
42 053 Pennsylvania
42 055 Pennsylvania
42 057 Pennsylvania
42 059 Pennsylvania
42 061 Pennsylvania
42 063 Pennsylvania
42 065 Pennsylvania
42 067 Pennsylvania
42 069 Pennsylvania
42 071 Pennsylvania
42 073 Pennsylvania
42 075 Pennsylvania
42 077 Pennsylvania
42 079 Pennsylvania
42 081 Pennsylvania
42 083 Pennsylvania
42 085 Pennsylvania
42 087 Pennsylvania
42 089 Pennsylvania
42 093 Pennsylvania
42 095 Pennsylvania
42 097 Pennsylvania
42 099 Pennsylvania
42 103 Pennsylvania
42 105 Pennsylvania
42 107 Pennsylvania
42 109 Pennsylvania
42 111 Pennsylvania
OF PENNSYLVANIA -
Adams
Allegheny
Armstrong
Beaver
Bedford
Berks
Blair
Bradford
Bucks
Butler
Cambria
Cameron
Carbon
Centre
Clarion
Clearfield
Clinton
Columbia
Crawford
Cumberland
Dauphin
Elk
Erie
Fayette
Forest
Franklin
Fulton
Greene
Huntingdon
Indiana
Jefferson
Juniata
Lackawanna
Lancaster
Lawrence
Lebanon
Lehigh
Luzerne
Lycoming
Me Kean
Mercer
Mifflin
Monroe
Montour
Northampton
Northumberland
Perry
Pike
Potter
Schuylkill
Snyder
Somerset
42 113
42 115
42 117
42 119
42 121
42 123
42 125
42 127
42 129
42 131
42 133
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Sullivan
Susquehanna
Tioga
Union
Venango
Warren
Washington
Wayne
Westmoreland
Wyoming
York
ATTAINMENT PORTION OF DELAWARE - M9
10 005 Delaware Sussex
ATTAINMENT PORTION OF VIRGINIA - M10
51 001 Virginia Accomack
51 003 Virginia Albemarle
51 005 Virginia Alleghany
51 007 Virginia Amelia
51 009 Virginia Amherst
51 Oil Virginia Appomattox
51 015 Virginia Augusta
51 017 Virginia Bath
51 019 Virginia Bedford
51 515 Virginia City of Bedford
51 021 Virginia Bland
51 023 Virginia Botetourt
51 520 Virginia City of Bristol
51 025 Virginia Brunswick
51 027 Virginia Buchanan
51 029 Virginia Buckingham
51 530 Virginia City of Buena Vista
51 031 Virginia Campbell
51 033 Virginia Caroline
51 035 Virginia Carroll
51 036 Virginia Charles City
51 037 Virginia Charlotte
51 540 Virginia City of Charlottesville
51 041 Virginia Chesterfield
51 550 Virginia City of Chesapeake
51 043 Virginia Clarke
51 560 Virginia City of Clifton Forge
51 570 Virginia City of Colonial Heights
51 580 Virginia City of Covington
51 045 Virginia Craig
51 047 Virginia Culpeper
51 049 Virginia Cumberland
51 590 Virginia City of Danville
51 051 Virginia Dickenson
51 053 Virginia Dinwiddie
51 595 Virginia City of Emporia
51 057 Virginia Essex
51 061 Virginia Fauquier
CH-95-51
A-4
-------
51 063 Virginia Floyd
51 065 Virginia Fluvanna
51 067 Virginia Franklin
51 620 Virginia City of Franklin
51 069 Virginia Frederick
51 630 Virginia City of Fredericksburg
51 640 Virginia City of Galax
51 071 Virginia Giles
51 073 Virginia Gloucester
51 075 Virginia Goochland
51 077 Virginia Grayson
51 079 Virginia Greene
51 081 Virginia Greensville
51 083 Virginia Halifax
51 650 Virginia City of Hampton
51 085 Virginia Hanover
51 660 Virginia City of Harrisonburg
51 087 Virginia Henrico
51 089 Virginia Henry
51 091 Virginia Highland
51 670 Virginia City of Hopewell
51 093 Virginia Isle of Wright
51 095 Virginia James City
51 097 Virginia King and Queen
51 099 Virginia King George
51 101 Virginia King William
51 103 Virginia Lancaster
51 105 Virginia Lee
51 678 Virginia City of Lexington
51 109 Virginia Louisa
51 111 Virginia Lunenberg
51 680 Virginia City of Lynchburg
51 113 Virginia Madison
51 690 Virginia City of Martinsville
51 115 Virginia Madiews
51 117 Virginia Mecklenburg
51 119 Virginia Middlesex
51 121 Virginia Montgomery
51 123 Virginia Nansemond
51 125 Virginia Nelson
51 127 Virginia New Kent
51 700 Virginia City of Newport News
51 710 Virginia City of Norfolk
51 131 Virginia Northampton
51 133 Virginia Northumberland
51 720 Virginia City of Norton
51 135 Virginia Nottoway
51 137 Virginia Orange
51 139 Virginia Page
51 141 Virginia Patrick
51 730 Virginia City of Petersburg
51 143 Virginia Pittsylvania
51 145 Virginia Powhatan
51 735 Virginia City of Poquoson
51 740
51 147
51 149
51 155
51 750
51 157
51 159
51 760
51 161
51 770
51 163
51 165
51 167
51 775
51 169
51 171
51 173
51 780
51 175
51 177
51 790
51 800
51 181
51 183
51 185
51 810
51 187
51 191
51 820
51 193
51 830
51 840
51 195
51 197
51 199
Virginia City of Portsmouth
Virginia Prince Edward
Virginia Prince George
Virginia Pulaski
Virginia City of Radford
Virginia Rappahannock
Virginia Richmond
Virginia City of Richmond
Virginia Roanoke
Virginia City of Roanoke
Virginia Rockbridge
Virginia Rockingham
Virginia Russell
Virginia City of Salem
Virginia Scott
Virginia Shenandoah
Virginia Smyth
Virginia City of South Boston
Virginia Southampton
Virginia Spotsylvania
Virginia City of Staunton
Virginia City of Suffolk
Virginia Surry
Virginia Sussex
Virginia Tazewell
Virginia City of Virginia Beach
Virginia Warren
Virginia Washington
Virginia City of Waynesboro
Virginia Westmoreland
Virginia City of Wilhamsburg
Virginia City of Winchester
Virginia Wise
Virginia Wythe
Virginia York
ATTAINMENT PORTION OF WEST VIRGINIA
Mil
54 001
54 003
54 005
54 007
54 009
54 013
54 015
54 017
54 019
54 021
54 023
54 025
54 027
54 029
54 031
54 033
West Virginia Barbour
West Virginia Berkeley
West Virginia Boone
West Virginia Braxton
West Virginia Brooke
West Virginia Calhoun
West Virginia Clay
West Virginia Doddridge
West Virginia Fayette
West Virginia Gilmer
West Virginia Grant
West Virginia Greenbrier
West Virginia Hampshire
West Virginia Hancock
West Virginia Hardy
West Virginia Harrison
CH-95-51
A-5
-------
54 035 West Virginia
54 037 West Virginia
54 039 West Virginia
54 041 West Virginia
54 043 West Virginia
54 045 West Virginia
54 047 West Virginia
54 049 West Virginia
54 051 West Virginia
54 053 West Virginia
54 055 West Virginia
54 057 West Virginia
54 059 West Virginia
54 061 West Virginia
54 063 West Virginia
54 065 West Virginia
54 067 West Virginia
54 069 West Virginia
54 071 West Virginia
54 073 West Virginia
54 075 West Virginia
54 077 West Virginia
54 079 West Virginia
54 081 West Virginia
54 083 West Virginia
54 085 West Virginia
54 087 West Virginia
54 089 West Virginia
54 091 West Virginia
54 093 West Virginia
54 095 West Virginia
54 097 West Virginia
54 101 West Virginia
54 103 West Virginia
54 105 West Virginia
54 107 West Virginia
54 109 West Virginia
Jackson
Jefferson
Kanawha
Lewis
Lincoln
Logan
McDowell
Marion
Marshall
Mason
Mercer
Mineral
Mingo
Monongalia
Monroe
Morgan
Nicholas
Ohio
Pendleton
Pleasants
Pocahontas
Preston
Putnam
Raleigh
Randolph
Ritchie
Roane
Summers
Taylor
Tucker
Tyler
Upshur
Webster
Wetzel
Wirt
Wood
Wyoming
ATTAINMENT PORTION
24 001 Maryland
24 009 Maryland
24 017 Maryland
24 021 Maryland
24 027 Maryland
24 033 Maryland
24 035 Maryland
24 037 Maryland
24 039 Maryland
24 041 Maryland
24 043 Maryland
24 045 Maryland
OF MARYLAND - M12
Allegany
Calvert
Charles
Frederick
Howard
Prince Georges
Queen Annes
St. Marys
Somerset
Talbot
Washington
Wicomico
13 063
13 067
13 077
13 089
13 097
13 113
13 117
13 121
13 135
13 151
13 223
13 247
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Clayton
Cobb
Coweta
DeKalb
Douglas
Fayette
Forsyth
Fulton
Gwinnett
Henry
Paulding
Rockdale
LOUISVILLE Nonattainment AREA - S2
18 019 Indiana Clark
18 043 Indiana Floyd
21 029 Kentucky Bullitt
21 111 Kentucky Jefferson
21 185 Kentucky Oldham
ATLANTA Nonattainment AREA - SI
13 057 Georgia Cherokee
ATTAINMENT PORTION
21 001 Kentucky
21 003 Kentucky
21 005 Kentucky
21 007 Kentucky
21 009 Kentucky
21 Oil Kentucky
21 013 Kentucky
21 017 Kentucky
21 021 Kentucky
21 023 Kentucky
21 025 Kentucky
21 027 Kentucky
21 031 Kentucky
21 033 Kentucky
21 035 Kentucky
21 039 Kentucky
21 041 Kentucky
21 043 Kentucky
21 045 Kentucky
21 047 Kentucky
21 049 Kentucky
21 051 Kentucky
21 053 Kentucky
21 055 Kentucky
21 057 Kentucky
21 059 Kentucky
21 061 Kentucky
21 063 Kentucky
21 065 Kentucky
21 067 Kentucky
21 069 Kentucky
21 071 Kentucky
21 073 Kentucky
OF KENTUCKY - S3
Adair
Allen
Anderson
Ballard
Barren
Bath
Bell
Bourbon
Boyle
Bracken
Breathitt
Breckinridge
Butler
Caldwell
Galloway
Carlisle
Carroll
Carter
Casey
Christian
Clark
Clay
Clinton
Crittenden
Cumberland
Daviess
Edmonson
Elliott
Estill
Fayette
Fleming
Floyd
Franklin
CH-95-51
A-6
-------
21 075 Kentucky
21 077 Kentucky
21 079 Kentucky
21 081 Kentucky
21 083 Kentucky
21 085 Kentucky
21 087 Kentucky
21 091 Kentucky
21 093 Kentucky
21 095 Kentucky
21 097 Kentucky
21 099 Kentucky
21 101 Kentucky
21 103 Kentucky
21 105 Kentucky
21 107 Kentucky
21 109 Kentucky
21 113 Kentucky
21 115 Kentucky
21 119 Kentucky
21 121 Kentucky
21 123 Kentucky
21 125 Kentucky
21 127 Kentucky
21 129 Kentucky
21 131 Kentucky
21 133 Kentucky
21 135 Kentucky
21 137 Kentucky
21 139 Kentucky
21 141 Kentucky
21 143 Kentucky
21 145 Kentucky
21 147 Kentucky
21 149 Kentucky
21 151 Kentucky
21 153 Kentucky
21 155 Kentucky
21 157 Kentucky
21 159 Kentucky
21 161 Kentucky
21 163 Kentucky
21 165 Kentucky
21 167 Kentucky
21 169 Kentucky
21 171 Kentucky
21 173 Kentucky
21 175 Kentucky
21 177 Kentucky
21 179 Kentucky
21 181 Kentucky
21 183 Kentucky
21 187 Kentucky
21 189 Kentucky
Fulton
Gallatin
Garrard
Grant
Graves
Grayson
Green
Hancock
Hardin
Harlan
Harrison
Hart
Henderson
Henry
Hickman
Hopkins
Jackson
Jessamine
Johnson
Knott
Knox
Larue
Laurel
Lawrence
Lee
Leslie
Letcher
Lewis
Lincoln
Livingston
Logan
Lyon
McCracken
McCreary
McLean
Madison
Magoffin
Marion
Marshall
Martin
Mason
Meade
Menifee
Mercer
Metcalfe
Monroe
Montgomery
Morgan
Muhlenberg
Nelson
Nicholas
Ohio
Owen
Owsley
21 191
21 193
21 195
21 197
21 199
21 201
21 203
21 205
21 207
21 209
21 211
21 213
21 215
21 217
21 219
21 221
21 223
21 225
21 227
21 229
21 231
21 233
21 235
21 237
21 239
Kentucky
Kentucky
Kentucky
Kentucky
Kentucky
Kentucky
Kentucky
Kentucky
Kentucky
Kentucky
Kentucky
Kentucky
Kentucky
Kentucky
Kentucky
Kentucky
Kentucky
Kentucky
Kentucky
Kentucky
Kentucky
Kentucky
Kentucky
Kentucky
Kentucky
ATTAINMENT PORTION
13 001 Georgia
13 003 Georgia
13 005 Georgia
13 007 Georgia
13 009 Georgia
13 Oil Georgia
13 013 Georgia
13 015 Georgia
13 017 Georgia
13 019 Georgia
13 021 Georgia
13 023 Georgia
13 025 Georgia
13 027 Georgia
13 029 Georgia
13 031 Georgia
13 033 Georgia
13 035 Georgia
13 037 Georgia
13 039 Georgia
13 043 Georgia
13 045 Georgia
13 047 Georgia
13 049 Georgia
13 051 Georgia
13 053 Georgia
13 055 Georgia
Pendleton
Perry
Pike
Powell
Pulaski
Robertson
Rockcastle
Rowan
Russell
Scott
Shelby
Simpson
Spencer
Taylor
Todd
Trigg
Trimble
Union
Warren
Washington
Wayne
Webster
Whitley
Wolfe
Woodford
OF GEORGIA - S4
Appling
Atkinson
Bacon
Baker
Baldwin
Banks
Barrow
Bartow
Ben Hill
Berrien
Bibb
Bleckley
Brantley
Brooks
Bryan
Bulloch
Burke
Butts
Calhoun
Camden
Candler
Carroll
Catoosa
Charlton
Chatham
Chattahoochee
Chattooga
CH-95-51
A-7
-------
13 059
13 061
13 065
13 069
13 071
13 073
13 075
13 079
13 081
13 083
13 085
13 087
13 091
13 093
13 095
13 099
13 101
13 103
13 105
13 107
13 109
13 111
13 115
13 119
13 123
13 125
13 127
13 129
13 131
13 133
13 137
13 139
13 141
13 143
13 145
13 147
13 149
13 153
13 155
13 157
159
161
163
165
13 167
13 169
13 171
13 173
13
13
13 179
13 181
13 183
13 185
13
13
13
13
175
177
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Clarke
Clay
Clinch
Coffee
Colquitt
Columbia
Cook
Crawford
Crisp
Dade
Dawson
Decatur
Dodge
Dooly
Dougherty
Early
Echols
Effingham
Elbert
Emanuel
Evans
Fannin
Floyd
Franklin
Gilmer
Glascock
Glynn
Gordon
Grady
Greene
Habersham
Hall
Hancock
Haralson
Harris
Hart
Heard
Houston
Irwin
Jackson
Jasper
Jeff Davis
Jefferson
Jenkins
Johnson
Jones
Lamar
Lanier
Laurens
Lee
Liberty
Lincoln
Long
Lowndes
13 187
13 189
13 191
13 193
13 195
13 197
13 199
13 201
13 205
13 207
13 209
13 211
13 213
13 215
13 217
13 219
13 221
13 223
13 225
13 227
13 229
13 231
13 233
13 235
13 237
13 239
13 241
13 243
13 245
13 249
13 251
13 253
13 255
13 257
13 259
13 261
13 263
13 265
13 267
13 269
13 271
13 273
13 275
13 277
13 279
13 281
13 283
13 285
13 287
13 289
13 291
13 293
13 295
13 297
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Lumpkin
McDuffie
Mclntosh
Macon
Madison
Marion
Meriwether
Miller
Mitchell
Monroe
Montgomery
Morgan
Murray
Muscogee
Newton
Oconee
Oglethorpe
Paulding
Peach
Pickens
Pierce
Pike
Polk
Pulaski
Putnam
Quitman
Rabun
Randolph
Richmond
Schley
Screven
Seminole
Spalding
Stephens
Stewart
Sumter
Talbot
Taliaferro
Tattnall
Taylor
Telfair
Terrell
Thomas
Tift
Toombs
Towns
Treutlen
Troup
Turner
Twiggs
Union
Upson
Walker
Walton
CH-95-51
A-8
-------
13 299
13 301
13 303
13 305
13 307
13 309
13 311
13 313
13 315
13 317
13 319
13 321
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Ware
Warren
Washington
Wayne
Webster
Wheeler
White
Whitfield
Wilcox
Wilkes
Wilkinson
Worth
TENNESSEE - S5
47 001 Tennessee
47 003 Tennessee
47 005 Tennessee
47 007 Tennessee
47 009 Tennessee
47 Oil Tennessee
47 013 Tennessee
47 015 Tennessee
47 017 Tennessee
47 019 Tennessee
47 021 Tennessee
47 023 Tennessee
47 025 Tennessee
47 027 Tennessee
47 029 Tennessee
47 031 Tennessee
47 033 Tennessee
47 035 Tennessee
47 037 Tennessee
47 039 Tennessee
47 041 Tennessee
47 043 Tennessee
47 045 Tennessee
47 047 Tennessee
47 049 Tennessee
47 051 Tennessee
47 053 Tennessee
47 055 Tennessee
47 057 Tennessee
47 059 Tennessee
47 061 Tennessee
47 063 Tennessee
47 065 Tennessee
47 067 Tennessee
47 069 Tennessee
47 071 Tennessee
47 073 Tennessee
47 075 Tennessee
47 077 Tennessee
47 079 Tennessee
Anderson
Bedford
Benton
Bledsoe
Blount
Bradley
Campbell
Cannon
Carroll
Carter
Cheatham
Chester
Claiborne
Clay
Cocke
Coffee
Crockett
Cumberland
Davidson
Decatur
DeKalb
Dickson
Dyer
Fayette
Fentress
Franklin
Gibson
Giles
Grainger
Greene
Grundy
Hamblen
Hamilton
Hancock
Hardeman
Hardin
Hawkins
Haywood
Henderson
Henry
47 081 Tennessee
47 083 Tennessee
47 085 Tennessee
47 087 Tennessee
47 089 Tennessee
47 091 Tennessee
47 093 Tennessee
47 095 Tennessee
47 097 Tennessee
47 099 Tennessee
47 101 Tennessee
47 103 Tennessee
47 105 Tennessee
47 107 Tennessee
47 109 Tennessee
47 111 Tennessee
47 113 Tennessee
47 115 Tennessee
47 117 Tennessee
47 119 Tennessee
47 121 Tennessee
47 123 Tennessee
47 125 Tennessee
47 127 Tennessee
47 129 Tennessee
47 131 Tennessee
47 133 Tennessee
47 135 Tennessee
47 137 Tennessee
47 139 Tennessee
47 141 Tennessee
47 143 Tennessee
47 145 Tennessee
47 147 Tennessee
47 149 Tennessee
47 151 Tennessee
47 153 Tennessee
47 155 Tennessee
47 157 Tennessee
47 159 Tennessee
47 161 Tennessee
47 163 Tennessee
47 165 Tennessee
47 167 Tennessee
47 169 Tennessee
47 171 Tennessee
47 173 Tennessee
47 175 Tennessee
47 177 Tennessee
47 179 Tennessee
47 181 Tennessee
47 183 Tennessee
47 185 Tennessee
47 187 Tennessee
Hickman
Houston
Humphreys
Jackson
Jefferson
Johnson
Knox
Lake
Lauderdale
Lawrence
Lewis
Lincoln
London
McMinn
McNairy
Macon
Madison
Marion
Marshall
Maury
Meigs
Monroe
Montgomery
Moore
Morgan
Obion
Overton
Perry
Pickett
Polk
Putnam
Rhea
Roane
Robertson
Rutherford
Scott
Sequatchie
Sevier
Shelby
Smith
Stewart
Sullivan
Sumner
Tipton
Trousdale
Unicoi
Union
Van Buren
Warren
Washington
Wayne
Weakley
White
Williamson
CH-95-51
A-9
-------
47 189 Tennessee
NORTH
37 001
37 003
37 005
37 007
37 009
37 Oil
37 013
37 015
37 017
37 019
37 021
37 023
37 025
37 027
37 029
37 031
37 033
37 035
37 037
37 039
37 041
37 043
37 045
37 047
37 049
37 051
37 053
37 055
37 057
37 059
37 061
37 063
37 065
37 067
37 069
37 071
37 073
37 075
37 077
37 079
37 081
37 083
37 085
37 087
37 089
37 091
37 093
37 095
37 097
37 099
37 101
CAROLINA - S6
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
Wilson
Alamance
Alexander
AUeghany
Anson
Ashe
Avery
Beaufort
Bertie
Bladen
Brunswick
Buncombe
Burke
Cabarrus
Caldwell
Camden
Carteret
Caswell
Catawba
Chatham
Cherokee
Chowan
Clay
Cleveland
Columbus
Craven
Cumberland
Currituck
Dare
Davidson
Davie
Duplin
Durham
Edgecombe
Forsyth
Franklin
Gaston
Gates
Graham
Granville
Greene
Guilford
Halifax
Hamett
Haywood
Henderson
Hertford
Hoke
Hyde
Iredell
Jackson
Johnston
37 103 North Carolina
37 105 North Carolina
37 107 North Carolina
37 109 North Carolina
37 111 North Carolina
37 113 North Carolina
37 115 North Carolina
37 117 North Carolina
37 119 North Carolina
37 121 North Carolina
37 123 North Carolina
37 125 North Carolina
37 127 North Carolina
37 129 North Carolina
37 131 North Carolina
37 133 North Carolina
37 135 North Carolina
37 137 North Carolina
37 139 North Carolina
37 141 North Carohna
37 143 North Carolina
37 145 North Carolina
37 147 North Carolina
37 149 North Carolina
37 151 North Carolina
37 153 North Carolina
37 155 North Carolina
37 157 North Carolina
37 159 North Carolina
37 161 North Carolina
37 163 North Carolina
37 165 North Carolina
37 167 North Carolina
37 169 North Carolina
37 171 North Carolina
37 173 North Carolina
37 175 North Carolina
37 177 North Carolina
37 179 North Carolina
37 181 North Carolina
37 183 North Carolina
37 185 North Carolina
37 187 North Carolina
37 189 North Carolina
37 191 North Carolina
37 193 North Carolina
37 195 North Carolina
37 197 North Carolina
37 199 North Carolina
Jones
Lee.
Lenoir
Lincoln
McDowell
Macon
Madison
Martin
Mecklenburg
Mitchell
Montgomery
Moore
Nash
New Hanover
Northampton
Onslow
Orange
Pamlico
Pasquotank
Fender
Perquimans
Person
Pitt
Polk
Randolph
Richmond
Robeson
Rockingham
Rowan
Rutherford
Sampson
Scotland
Stanly
Stokes
Surry
Swain
Transylvania
Tyrrell
Union
Vance
Wake
Warren
Washington
Watauga
Wayne
Wilkes
Wilson
Yadkin
Yancey
MISSISSIPPI - S7
28 001 Mississippi
28 003 Mississippi
28 005 Mississippi
Adams
Alcom
Amite
CH-95-51
A-10
-------
28 007 Mississippi
28 009 Mississippi
28 Oil Mississippi
28 013 Mississippi
28 015 Mississippi
28 017 Mississippi
28 019 Mississippi
28 021 Mississippi
28 023 Mississippi
28 025 Mississippi
28 027 Mississippi
28 029 Mississippi
28 031 Mississippi
28 033 Mississippi
28 035 Mississippi
28 037 Mississippi
28 039 Mississippi
28 041 Mississippi
28 043 Mississippi
28 045 Mississippi
28 047 Mississippi
28 049 Mississippi
28 051 Mississippi
28 053 Mississippi
28 055 Mississippi
28 057 Mississippi
28 059 Mississippi
28 061 Mississippi
28 063 Mississippi
28 065 Mississippi
28 067 Mississippi
28 069 Mississippi
28 071 Mississippi
28 073 Mississippi
28 075 Mississippi
28 077 Mississippi
28 079 Mississippi
28 081 Mississippi
28 083 Mississippi
28 085 Mississippi
28 087 Mississippi
28 089 Mississippi
28 091 Mississippi
28 093 Mississippi
28 095 Mississippi
28 097 Mississippi
28 099 Mississippi
28 101 Mississippi
28 103 Mississippi
28 105 Mississippi
28 107 Mississippi
28 109 Mississippi
28 111 Mississippi
28 113 Mississippi
Attala
Benton
Bolivar
Calhoun
Carroll
Chickasaw
Choctaw
Claiborne
Clarke
Clay
Coahoma
Copiah
Covington
De Soto
Forrest
Franklin
George
Greene
Grenada
Hancock
Harrison
Hinds
Holmes
Humphreys
Issaquena
Itawamba
Jackson
Jasper
Jefferson
Jefferson Davis
Jones
Kemper
Lafayette
Lamar
Lauderdale
Lawrence
Leake
Lee
Letlore
Lincoln
Lowndes
Madison
Marion
Marshall
Monroe
Montgomery
Neshoba
Newton
Noxubee
Oktibbeha
Panola
Pearl River
Perry
Pike
28 115 Mississippi
28 117 Mississippi
28 119 Mississippi
28 121 Mississippi
28 123 Mississippi
28 125 Mississippi
28 127 Mississippi
28 129 Mississippi
28 131 Mississippi
28 133 Mississippi
28 135 Mississippi
28 137 Mississippi
28 139 Mississippi
28 141 Mississippi
28 143 Mississippi
28 145 Mississippi
28 147 Mississippi
28 149 Mississippi
28 151 Mississippi
28 153 Mississippi
28 155 Mississippi
28 157 Mississippi
28 159 Mississippi
28 161 Mississippi
28 163 Mississippi
ALABAMA - S8
01 001 Alabama
01 003 Alabama
01 005 Alabama
01 007 Alabama
01 009 Alabama
01 Oil Alabama
01 013 Alabama
01 015 Alabama
01 017 Alabama
01 019 Alabama
01 021 Alabama
01 023 Alabama
01 025 Alabama
01 027 Alabama
01 029 Alabama
01 031 Alabama
01 033 Alabama
01 035 Alabama
01 037 Alabama
01 039 Alabama
01 041 Alabama
01 043 Alabama
01 045 Alabama
01 047 Alabama
01 049 Alabama
01 051 Alabama
01 053 Alabama
Pontotoc
Prentiss
Quitman
Rankin
Scott
Sharkey
Simpson
Smith
Stone
Sunflower
Tallahatchie
Tate
Tippah
Tishomingo
Tunica
Union
Walthall
Warren
Washington
Wayne
Webster
Wilkinson
Winston
Yalobusha
Yazoo
Autauga
Baldwin
Barbour
Bibb
Blount
Bullock
Butler
Calhoun
Chambers
Cherokee
Chilton
Choctaw
Clarke
Clay
Clebume
Coffee
Colbert
Conecuh
Coosa
Covington
Crenshaw
Culhnan
Dale
Dallas
DeKalb
Elmore
Escambia
CH-95-51
A-ll
-------
01 055
01 057
01 059
01 061
01 063
01 065
01 067
01 069
01 071
01 073
01 075
01 077
01 079
01 081
01 083
01 085
01 087
01 089
01 091
01 093
01 095
01 097
01 099
01 101
01 103
01 105
01 107
01 109
01 111
01 113
01 115
01 117
01 119
01 121
01 123
01 125
01 127
01 129
01 131
01 133
SOUTH
45 001
45 003
45 005
45 007
45 009
45 Oil
45 013
45 015
45 017
45 019
45 021
45 023
Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
CAROLINA - S9
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
Etowah
Fayette
Franklin
Geneva
Greene
Hale
Henry
Houston
Jackson
Jefferson
Lamar
Lauderdale
Lawrence
Lee
Limestone
Lowndes
Macon
Madison
Marengo
Marion
Marshall
Mobile
Monroe
Montgomery
Morgan
Perry
Pickens
Pike
Randolph
Russell
St. Clan-
Shelby
Sumter
Talladega
Tallapoosa
Tuscaloosa
Walker
Washington
Wilcox
Winston
Abbeville
Aiken
Allendale
Anderson
Bamberg
Barnwell
Beaufort
Berkeley
Calhoun
Charleston
Cherokee
Chester
45 025
45 027
45 029
45 031
45 033
45 035
45 037
45 039
45 041
45 043
45 045
45 047
45 049
45 051
45 053
45 055
45 057
45 059
45 061
45 063
45 065
45 067
45 069
45 071
45 073
45 075
45 077
45 079
45 081
45 083
45 085
45 087
45 089
45 091
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
Chesterfield
Clarendon
Colleton
Darlington
Dillon
Dorchester
Edgefield
Fair-field
Florence
Georgetown
Greenville
Greenwood
Hampton
Horry
Jasper
Kershaw
Lancaster
Laurens
Lee
Lexington
McCormick
Marion
Malboro
Newberry
Oconee
Orangeburg
Pickens
Richland
Saluda
Spartanburg
Sumter
Union
Williamsburg
York
FLORIDA-S10
12 001 Florida
12 003
12 005
12 007
12 009
12 Oil
12 013
12 015
12 017
12 019
12 021
12 023
12 025
12 027
12 029
12 031
12 033
12 035
Florida
Florida
Florida
Florida
Florida
Florida
Florida
Florida
Florida
Florida
Florida
Florida
Florida
Florida
Florida
Florida
Florida
Alachua
Baker
Bay
Bradford
Brevard
Broward
Calhoun
Charlotte
Citrus
Clay
Collier
Columbia
Dade
De Soto
Dixie
Duval
Escambia
Flagler
CH-95-51
A-12
-------
12 037 Florida
12 039 Florida
12 041 Florida
12 043 Florida
12 045 Florida
12 047 Florida
12 049 Florida
12 051 Florida
12 053 Florida
12 055 Florida
12 057 Florida
12 059 Florida
12 061 Florida
12 063 Florida
12 065 Florida
12 067 Florida
12 069 Florida
12 071 Florida
12 073 Florida
12 075 Florida
12 077 Florida
12 079 Florida
12 081 Florida
12 083 Florida
12 085 Florida
12 087 Florida
12 089 Florida
12 091 Florida
12 093 Florida
12 095 Florida
12 097 Florida
12 099 Florida
12 101 Florida
12 103 Florida
12 105 Florida
12 107 Florida
12 109 Florida
12 111 Florida
12 113 Florida
12 115 Florida
12 117 Florida
12 119 Florida
12 121 Florida
12 123 Florida
12 125 Florida
12 127 Florida
12 129 Florida
12 131 Florida
12 133 Florida
CHICAGO-GARY-LAKE
AREA-G1
17 031 Illinois
17 043 Illinois
Franklin
Gadsden
Gilchrist
Glades
Gulf
Hamilton
Hardee
Hendiy
Hernando
Highlands
Hillsborough
Holmes
Indian River
Jackson
Jefferson
Lafayette
Lake
Lee
Leon
Levy
Liberty
Madison
Manatee
Marion
Martin
Monroe
Nassau
Okaloosa
Okeechobee
Orange
Osceola
Palm Beach
Pasco
Pinellas
Polk
Putnam
St. Johns
St. Lucie
Santa Rosa
Sarasota
Seminole
Sumter
Suwannee
Taylor
Union
Volusia
Wakulla
Walton
Washington
COUNTY Nonattainment
Cook
Du Page
17 063 Illinois Grundy
17 089 Illinois Kane
17 093 Illinois Kendall
17 097 Illinois Lake
17 111 Illinois McHenry
17 197 Illinois Will
18 089 Indiana Lake
18 127 Indiana Porter
MILWAUKEE-RACINE NONATTAINMENT
AREA-G2
55 059 Wisconsin Kenosha
55 079 Wisconsin Milwaukee
55 089 Wisconsin Ozaukee
55 101 Wisconsin Racine
55 131 Wisconsin Washington
55 133 Wisconsin Waukesha
MUSKEGON NONATTAINMENT AREA - G3
26 121 Michigan Muskegon
SHEBOYGAN NONATTAINMENT AREA - G4
55 117 Wisconsin Sheboygan
CINCINNATI-HAMILTON NONATTAINMENT
AREA-G5
21 015 Kentucky Boone
21 037 Kentucky Campbell
21 117 Kentucky Kenton
39 017 Ohio Butler
39 025 Ohio Clermont
39 061 Ohio Hamilton
39 165 Ohio Warren
ST. LOUIS NONATTAINMENT AREA - G6
17 119 Illinois Madison
17 133 Illinois Monroe
17 163 Illinois St. Clair
29 071 Missouri Franklin
29 099 Missouri Jefferson
29 183 Missouri St. Charles
29 510 Missouri St. Louis
29 229 Missouri Wright
ATTAINMENT PORTION OF ILLINOIS - G7
17 001 Illinois Adams
17 003 Illinois Alexander
17 005 Illinois Bond
17 007 Illinois Boone
17 009 Illinois Brown
17 Oil Illinois Bureau
17 013 Illinois Calhoun
17 015 Illinois Carroll
17 017 Illinois Cass
CH-95-51
A-13
-------
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
019
021
023
025
027
029
033
035
037
039
041
045
047
049
051
053
055
057
059
061
065
067
069
071
073
075
077
079
081
083
085
087
091
095
099
101
103
105
107
109
113
115
117
121
123
125
127
129
131
135
137
139
141
143
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Champaign
Christian
Clark
Clay
Clinton
Coles
Crawford
Cumberland
DeKalb
DeWitt
Douglas
Edgar
Edwards
Effingham
Fayette
Ford
Franklin
Fulton
Gallatin
Greene
Hamilton
Hancock
Hardin
Henderson
Henry
Iroquois
Jackson
Jasper
Jefferson
Jersey
Jo Davies
Johnson
Kankakee
Knox
LaSalle
Lawrence
Lee
Livingston
Logan
McDonough
McLean
Macon
Macoupin
Marion
Marshall
Mason
Massac
Menard
Mercer
Montgomery
Morgan
Moultrie
Ogle
Peoria
17 145
17 147
17 149
17 151
17 153
17 155
17 157
17 159
17 161
17 165
17 167
17 169
17 171
17 173
17 175
17 177
17 179
17 181
17 183
17 185
17 187
17 189
17 191
17 193
17 195
17 199
17 201
17 203
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
ATTAINMENT PORTION
18 001
18 003
18 005
18 007
18 009
18 Oil
18 013
18 015
18 017
18 021
18 023
18 025
18 027
18 029
18 031
18 033
18 035
18 037
18 039
18 041
18 045
18 047
18 049
18 051
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Perry
Piatt
Pike
Pope
Pulaski
Putnam
Randolph
Richland
Rock Island
Saline
Sangamon
Schuyler
Scott
Shelby
Stark
Stephenson
Tazewell
Union
Vermilion
Wabash
Warren
Washington
Wayne
White
Whiteside
Williamson
Winnebago
Woodford
OF INDIANA - G8
Adams
Allen
Bartholomew
Benton
Blackford
Boone
Brown
Carroll
Cass
Clay
Clinton
Crawford
Davies
Dearborn
Decatur
DeKalb
Delaware
Dubois
Elkhart
Fayette
Fountain
Franklin
Fulton
Gibson
CH-95-51
A-14
-------
18 053
18 055
18 057
18 059
18 061
18 063
18 065
18 067
18 069
18 071
18 073
18 075
18 077
18 079
18 081
18 083
18 085
18 087
18 091
18 093
18 095
18 097
18 099
18 101
18 103
18 105
18 107
18 109
18 111
18 113
18 115
18 117
18 119
18 121
18 123
18 125
18 129
18 131
18 133
18 135
18 137
18 139
18 141
18 143
18 145
18 147
18 149
18 151
18 153
18 155
18 157
18 159
18 161
18 163
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Grant
Greene
Hamilton
Hancock
Harrison
Hendricks
Henry
Howard
Huntington
Jackson
Jasper
Jay
Jefferson
Jennings
Johnson
Knox
Kosciusko
Lagrange
La Porte
Lawrence
Madison
Marion
Marshall
Martin
Miami
Monroe
Montgomery
Morgan
Newton
Noble
Ohio
Orange
Owen
Parke
Perry
Pike
Pisey
Pulaski
Putnam
Randolph
Ripley
Rush
St. Joseph
Scott
Shelby
Spencer
Starke
Steuben
Sullivan
Switzerland
Tippecanoe
Tipton
Union
Vanderburgh
18
18
18
18
18
18
18
18
18
18
165
167
169
171
173
175
177
179
181
183
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
ATTAINMENT PORTION
55
55
55
55
55
55
55
55
55
55
55
55
55
55
55
55
55
55
55
55
55
55
55
55
55
55
55
55
55
55
55
55
55
55
55
55
55
55
55
55
55
55
001
003
005
007
009
Oil
013
015
017
019
021
023
025
027
029
031
033
035
037
039
041
043
045
047
049
051
053
055
057
061
063
065
067
069
071
073
075
077
081
083
085
087
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Vermillion
Vigo
Wabash
Warren
Warrick
Washington
Wayne
Wells
White
Whitley
OF WISCONSIN - G9
Adams
Ashland
Barren
Bayfield
Brown
Buffalo
Burnett
Calumet
Chippewa
Clark
Columbia
Crawford
Dane
Dodge
Door
Douglas
Dunn
Eau Claire
Florence
Fond Du Lac
Forest
Grant
Green
Green Lake
Iowa
Iron
Jackson
Jefferson
Juneau
Kewaunee
La Crosse
Lafayette
Langlade
Lincoln
Manitowoc
Marathon
Marinette
Marquette
Monroe
Oconto
Oneida
Outagamie
CH-95-51
A-15
-------
55 091
55 093
55 095
55 097
55 099
55 103
55 105
55 107
55 109
55 111
55 113
55 115
55 119
55 121
55 123
55 125
55 127
55 129
55 135
55 137
55 139
55 141
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
ATTAINMENT PORTION
39 001
39 003
39 005
39 007
39 009
39 Oil
39 013
39 015
39 019
39 021
39 023
39 027
39 029
39 031
39 033
39 035
39 037
39 039
39 041
39 043
39 045
39 047
39 049
39 051
39 053
39 055
39 057
39 059
39 063
39 065
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Pepin
Pierce
Polk
Portage
Price
Richland
Rock
Rusk
St. Croix
Sauk
Sawyer
Shawano
Taylor
Trempealeau
Vernon
Vilas
Walworth
Washburn
Waupaca
Waushara
Winnebago
Wood
OF OHIO - G10
Adams
Allen
Ashland
Ashtabula
Athens
Auglaize
Belmont
Brown
Carroll
Champaign
Clark
Clinton
Columbiana
Coshocton
Crawford
Cuyahoga
Darke
Defiance
Delaware
Erie
Fairfield
Fayette
Franklin
Fulton
Gallia
Geauga
Greene
Guernsey
Hancock
Hardin
39 067
39 069
39 071
39 073
39 075
39 077
39 079
39 081
39 083
39 085
39 087
39 089
39 091
39 093
39 095
39 097
39 099
39 101
39 103
39 105
39 107
39 109
39 111
39 113
39 115
39 117
39 119
39 121
39 123
39 125
39 127
39 129
39 131
39 133
39 135
39 137
39 139
39 141
39 143
39 145
39 147
39 149
39 151
39 153
39 155
39 157
39 159
39 161
39 163
39 167
39 169
39 171
39 173
39 175
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Harrison
Henry
Highland
Hocking
Holmes
Huron
Jackson
Jefferson
Knox
Lake
Lawrence
Licking
Logan
Lorain
Lucas
Madison
Mahoning
Marion
Medina
Meigs
Mercer
Miami
Monroe
Montgomery
Morgan
Morrow
Muskingum
Noble
Ottawa
Paulding
Perry
Pickaway
Pike
Portage
Preble
Putnam
Richland
Ross
Sandusky
Scioto
Seneca
Shelby
Stark
Summit
Trumbull
Tuscarawas
Union
VanWert
Vinton
Washington
Wayne
Williams
Wood
Wyandot
CH-95-51
A-16
-------
ATTAINMENT PORTION
26 001 Michigan
26 003 Michigan
26 005 Michigan
26 007 Michigan
26 009 Michigan
26 Oil Michigan
26 013 Michigan
26 015 Michigan
26 017 Michigan
26 019 Michigan
26 021 Michigan
26 023 Michigan
26 025 Michigan
26 027 Michigan
26 029 Michigan
26 031 Michigan
26 033 Michigan
26 035 Michigan
26 037 Michigan
26 039 Michigan
26 041 Michigan
26 043 Michigan
26 045 Michigan
26 047 Michigan
26 049 Michigan
26 051 Michigan
26 053 Michigan
26 055 Michigan
26 057 Michigan
26 059 Michigan
26 061 Michigan
26 063 Michigan
26 065 Michigan
26 067 Michigan
26 069 Michigan
26 071 Michigan
26 073 Michigan
26 075 Michigan
26 077 Michigan
26 079 Michigan
26 081 Michigan
26 083 Michigan
26 085 Michigan
26 087 Michigan
26 089 Michigan
26 091 Michigan
26 093 Michigan
26 095 Michigan
26 097 Michigan
26 099 Michigan
26 101 Michigan
26 103 Michigan
26 105 Michigan
OF MICHIGAN-Gil
Alcona
Alger
Allegan
Alpena
Antrim
Arenac
Baraga
Barry
Bay
Benzie
Berrien
Branch
Calhoun
Cass
Charlevoix
Cheboygan
Chippewa
Clare
Clinton
Crawford
Delta
Dickinson
Eaton
Emmet
Genesee
Gladwin
Gogebic
Grand Traverse
Gratiot
Hillsdale
Houghton
Huron
Ingham
Ionia
losco
Iron
Isabella
Jackson
Kalamazoo
Kalkaska
Kent
Keweenaw
Lake
Lapeer
Leelanau
Lenawee
Livingston
Luce
Mackinac
Macomb
Manistee
Marquette
Mason
CH-95-51
A-17
-------
26
26
26
26
26
26
26
26
26
26
26
26
26
26
26
26
26
26
26
26
26
26
26
26
26
26
26
26
26
107
109
111
113
115
117
119
123
125
127
129
131
133
135
137
139
141
143
145
147
149
151
153
155
157
159
161
163
165
Michigan
Michigan
Michigan
Michigan
Michigan
Michigan
Michigan
Michigan
Michigan
Michigan
Michigan
Michigan
Michigan
Michigan
Michigan
Michigan
Michigan
Michigan
Michigan
Michigan
Michigan
Michigan
Michigan
Michigan
Michigan
Michigan
Michigan
Michigan
Michigan
ATTAINMENT PORTION
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
001
003
005
007
009
Oil
013
015
017
019
021
023
025
027
029
031
033
035
037
039
041
043
045
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Mecosta
Menominee
Midland
Missaukee
Monroe
Montcalm
Montmorency
Newaygo
Oakland
Oceana
Ogemaw
Ontonagon
Osceola
Oscoda
Otsego
Ottawa
Presque Isle
Roscommon
Saginaw
St. Clair
St. Joseph
Sanilac
Schoolcraft
Shiawassee
Tuscola
VanBuren
Washtenaw
Wayne
Wexford
OF MINNESOTA - G12
Aitkin
Anoka
Becker
Beltrami
Benton
Big Stone
Blue Earth
Brown
Carlton
Carver
Cass
Chippewa
Chisago
Clay
Clearwater
Cook
Cottonwood
Crow Wing
Dakota
Dodge
Douglas
Faribault
Fillmore
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
047
049
051
053
055
057
059
061
063
065
067
069
071
073
075
077
079
081
083
085
087
089
091
093
095
097
099
101
103
105
107
109
111
113
115
117
119
121
123
125
127
129
131
133
135
137
139
141
143
145
147
149
151
153
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Freebom
Goodhue
Grant
Hennepin
Houston
Hubbard
Isanti
Itasca
Jackson
Kanabec
Kandiyohi
Kittson
Koochiching
Lac qui Parle
Lake
Lake of the
Le Sueur
Lincoln
Lyon
McLeod
Mahnomen
Marshall
Martin
Meeker
Mille Lacs
Morrison
Mower
Murray
Nicollet
Nobles
Norman
Ohnsted
Otter Tail
Pennington
Pine
Pipestone
Polk
Pope
Ramsey
Red Lake
Redwood
Renville
Rice
Rock
Roseau
St. Louis
Scott
Sherburne
Sibley
Stearns
Steele
Stevens
Swift
Todd
Woods
CH-95-51
A-18
-------
27
27
27
27
27
27
27
27
27
27
155
157
159
161
163
165
167
169
171
173
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Traverse
Wabasha
Wadena
Waseca
Washington
Watonwan
Wilkin
Winona
Wright
Yellow Medicine
HOUSTON-GALVESTON-BRAZORIA
NONATTAINMENT AREA - SW1
48 039 Texas Brazoria
48 071 Texas Chambers
48 157 Texas Fort Bend
48 167 Texas Galveston
48 201 Texas Harris
48 291 Texas Liberty
48 339 Texas Montgomery
48 473 Texas Waller
BATON ROUGE NONATTAINMENT AREA - SW2
22 005 Louisiana Ascension
22 033 Louisiana East Baton Rouge
22 047 Louisiana Iberville
22 063 Louisiana Livingston
22 077 Louisiana Pointe Coupee
22 121 Louisiana West Baton Rouge
BEAUMONT-PORT ARTHUR NONATTAINMENT
AREA - SW3
48 199 Texas Hardin
48 245 Texas Jefferson
48 361 Texas Orange
EL PASO NONATTAINMENT AREA - SW4
48 141 Texas El Paso
ATTAINMENT PORTION OF TEXAS - SW5
48 001
48 003
48 005
48 007
48 009
48 Oil
48 013
48 015
48 017
48 019
48 021
48 023
48 025
48 027
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Anderson
Andrews
Angelina
Aransas
Archer
Armstrong
Atascosa
Austin
Bailey
Bandera
Bastrop
Baylor
Bee
Bell
48 029
48 031
48 033
48 035
48 037
48 041
48 043
48 045
48 047
48 049
48 051
48 053
48 055
48 057
48 059
48 061
48 063
48 065
48 067
48 069
48 073
48 075
48 077
48 079
48 081
48 083
48 085
48 087
48 089
48 091
48 093
48 095
48 097
48 099
48 101
48 103
48 105
48 107
48 109
48 111
48 113
48 115
48 117
48 119
48 121
48 123
48 125
48 127
48 129
48 131
48 133
48 135
48 137
48 139
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Bexar
Blanco
Borden
Bosque
Bowie
Brazos
Brewster
Briscoe
Brooks
Brown
Burleson
Burnet
Caldwell
Calhoun
Callahan
Cameron
Camp
Carson
Cass
Castro
Cherokee
Childress
Clay
Cochran
Coke
Coleman
Collin
Collingsworth
Colorado
Comal
Camanche
Concho
Cooke
Coryell
Cottle
Crane
Crockett
Crosby
Culberson
Dallam
Dallas
Dawson
Deaf Smith
Delta
Denton
DeWitt
Dickens
Dimmit
Donley
Duval
Eastland
Ector
Edwards
Ellis
CH-95-51
A-19
-------
48
48
143
145
48 147
48 149
48
48
48
151
153
155
48
48
48
159
161
163
48 165
48 169
48
48
48
171
173
175
48
48
48
191
193
195
177
179
181
48 183
48 185
48 187
48 189
48
48
48
48 197
48 203
48 205
48 207
48 209
48 211
48 213
48 215
48 217
48 219
48 221
48 223
48 225
48 227
48 229
48 231
48 233
48 235
48 237
48 239
48 241
48 243
48 247
48 249
48 251
48 253
48 255
48 257
48 259
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Erath
Falls
Fannin
Fayette
Fisher
Floyd
Foard
Franklin
Freestone
Frio
Gaines
Garza
Gillespie
Glasscock
Goliad
Gonzales
Gray
Grayson
Gregg
Grimes
Guadalupe
Hale
Hall
Hamilton
Hansford
Hardeman
Harrison
Hartley
Haskell
Hays
Hemphilll
Henderson
Hidalgo
Hill
Hockley
Hood
Hopkins
Houston
Howard
Hudspeth
Hunt
Hutchinson
Irion
Jack
Jackson
Jasper
Jeff Davis
Jim Hogg
Jim Wells
Johnson
Jones
Karnes
Kaufman
Kendall
48 261
48 263
48 265
48 267
48 269
48 271
48 273
48 275
48 277
48 279
48 281
48 283
48 285
48 287
48 289
48 293
48 295
48 297
48 299
48 301
48 303
48 305
48 307
48 309
48 311
48 313
48 315
48 317
48 319
48 321
48 323
48 325
48 327
48 329
48 331
48 333
48 335
48 337
48 341
48 343
48 345
48 347
48 349
48 351
48 353
48 355
48 357
48 359
48 363
48 365
48 367
48 369
48 371
48 373
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Kenedy
Kent
Kerr
Kimble
King
Kinney
Kleberg
Knox
Lamar
Lamb
Lampasas
LaSalle
Lavaca
Lee
Leon
Limestone
Lipscomb
Live Oak
Llano
Loving
Lubbock
Lynn
McCulloch
McLennan
McMullen
Madison
Marion
Martin
Mason
Matagorda
Maverick
Medina
Menard
Midland
Milam
Mills
Mitchell
Montague
Moore
Morris
Motley
Nacogdoches
Navarro
Newton
Nolan
Nueces
Ochiltree
Oldham
Palo Pinto
Panola
Parker
Farmer
Pecos
Polk
CH-95-51
A-20
-------
48 375
48 377
48 379
48 381
48 383
48 385
48 387
48 389
48 391
48 393
48 395
48 397
48 399
48 401
48 403
48 405
48 407
48 409
48 411
48 413
48 415
48 417
48 419
48 421
48 423
48 425
48 427
48 429
48 431
48 433
48 435
48 437
48 439
48 441
48 443
48 445
48 447
48 449
48 451
48 453
48 455
48 457
48 459
48 461
48 463
48 465
48 467
48 469
48 471
48 475
48 477
48 479
48 481
48 483
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Potter
Presidio
Rains
Randall
Reagan
Real
Red River
Reeves
Refiigio
Roberts
Robertson
Rockwall
Runnels
Rusk
Sabine
San Augustine
San Jacinto
San Patrick)
San Saba
Schleicher
Scurry
Shackelford
Shelby
Sherman
Smith
Somervell
Stan-
Stephens
Sterling
Stonewall
Sutton
Swisher
Tarrant
Taylor
Terrell
Terry
Throckmorton
Titus
Tom Green
Travis
Trinity
Tyler
Upshur
Upton
Uvalde
Val Verde
VanZandt
Victoria
Walker
Ward
Washington
Webb
Wharton
Wheeler
48 485
48 487
48 489
48 491
48 493
48 495
48 497
48 499
48 501
48 503
48 505
48 507
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
ATTAINMENT PORTION OF
22 001 Louisiana
22 003 Louisiana
22 007 Louisiana
22 009 Louisiana
22 Oil Louisiana
22 013 Louisiana
22 015 Louisiana
22 017 Louisiana
22 019 Louisiana
22 021 Louisiana
22 023 Louisiana
22 025 Louisiana
22 027 Louisiana
22 029 Louisiana
22 031 Louisiana
22 035 Louisiana
22 037 Louisiana
22 039 Louisiana
22 041 Louisiana
22 043 Louisiana
22 045 Louisiana
22 049 Louisiana
22 051 Louisiana
22 053 Louisiana
22 055 Louisiana
22 057 Louisiana
22 059 Louisiana
22 061 Louisiana
22 065 Louisiana
22 067 Louisiana
22 069 Louisiana
22 071 Louisiana
22 073 Louisiana
22 075 Louisiana
22 079 Louisiana
22 081 Louisiana
22 083 Louisiana
22 085 Louisiana
22 087 Louisiana
22 089 Louisiana
Wichita
Wilbarger
Willacy
Williamson
Wilson
Winkler
Wise
Wood
Yoakum
Young
Zapata
Zavala
LOUISIANA - SW6
Acadia
Allen
Assumption
Avoyelles
Beauregard
Bienville
Bossier
Caddo
Calcasieu
CaldweU
Cameron
Catahoula
Claibome
Concordia
De Soto
East Carroll
East Feliciana
Evangeline
Franklin
Grant
Iberia
Jackson
Jefferson
Jefferson Davis
Lafayette
Lafourche
La Salle
Lincoln
Madison
Morehouse
Natchitoches
Orleans
Oauchita
Plaquemines
Rapides
Red River
Richland
Sabine
St. Bernard
St. Charles
CH-95-51
A-21
-------
22 091
22 093
22 095
22 097
22 099
22 101
22 103
22 105
22 107
22 109
22 111
22 113
22 115
22 117
22 119
22 123
22 125
22 127
Louisiana
Louisiana
Louisiana
Louisiana
Louisiana
Louisiana
Louisiana
Louisiana
Louisiana
Louisiana
Louisiana
Louisiana
Louisiana
Louisiana
Louisiana
Louisiana
Louisiana
Louisiana
St. Helena
St. James
St. John the Baptist
St. Landry
St. Martin
St. Mary
St. Tammany
Tangipahoa
Tensas
Terrebonne
Union
Vermilion
Vernon
Washington
Webster
West Carroll
West Feliciana
Winn
NEW MEXICO - SW7
35 001 New Mexico
35 003 New Mexico
35 005 New Mexico
35 007 New Mexico
35 009 New Mexico
35 Oil New Mexico
35 013 New Mexico
35 015 New Mexico
35 017 New Mexico
35 019 New Mexico
35 021 New Mexico
35 023 New Mexico
35 025 New Mexico
35 027 New Mexico
35 028 New Mexico
35 029 New Mexico
35 031 New Mexico
35 033 New Mexico
35 035 New Mexico
35 037 New Mexico
35 039 New Mexico
35 041 New Mexico
35 043 New Mexico
35 045 New Mexico
35 047 New Mexico
35 049 New Mexico
35 051 New Mexico
35 053 New Mexico
35 055 New Mexico
35 057 New Mexico
35 059 New Mexico
35 061 New Mexico
OKLAHOMA - SW8
Bemalillo
Catron
Chaves
Colfax
Curry
DeBaca
Dona Ana
Eddy
Grant
Guadalupe
Harding
Hidalgo
Lea
Lincoln
Los Alamos
Luna
McKinley
Mora
Otero
Quay
Rio Arriba
Roosevelt
Sandoval
San Juan
San Miguel
Santa Fe
Sierra
Socorro
Taos
Torrance
Union
Valencia
40 001
40 003
40 005
40 007
40 009
40 Oil
40 013
40 015
40 017
40 019
40 021
40 023
40 025
40 027
40 029
40 031
40 033
40 035
40 037
40 039
40 041
40 043
40 045
40 047
40 049
40 051
40 053
40 055
40 057
40 059
40 061
40 063
40 065
40 067
40 069
40 071
40 073
40 075
40 077
40 079
40 081
40 083
40 085
40 087
40 089
40 091
40 093
40 095
40 097
40 099
40 101
40 103
40 105
40 107
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Adair
Alfalfa
Atoka
Beaver
Beckham
Blaine
Bryan
Caddo
Canadian
Carter
Cherokee
Choctaw
Cimarron
Cleveland
Coal
Comanche
Cotton
Craig
Creek
Custer
Delaware
Dewey
Ellis
Garfield
Garvin
Grady
Grant
Greer
Harmon
Harper
Haskell
Hughes
Jackson
Jefferson
Johnston
Kay
Kingfisher
Kiowa
Latimer
Le Flore
Lincoln
Logan
Love
McClain
McCurtain
Mclntosh
Major
Marshall
Mayes
Murray
Muskogee
Noble
Nowata
Okftiskee
CH-95-51
A-22
-------
40 109 Oklahoma
40 111 Oklahoma
40 113 Oklahoma
40 115 Oklahoma
40 117 Oklahoma
40 119 Oklahoma
40 121 Oklahoma
40 123 Oklahoma
40 125 Oklahoma
40 127 Oklahoma
40 129 Oklahoma
40 131 Oklahoma
40 133 Oklahoma
40 135 Oklahoma
40 137 Oklahoma
40 139 Oklahoma
40 141 Oklahoma
40 143 Oklahoma
40 145 Oklahoma
40 147 Oklahoma
40 149 Oklahoma
40 151 Oklahoma
40 153 Oklahoma
ARKANSAS - SW9
05 001 Arkansas
05 003 Arkansas
05 005 Arkansas
05 007 Arkansas
05 009 Arkansas
05 Oil Arkansas
05 013 Arkansas
05 015 Arkansas
05 017 Arkansas
05 019 Arkansas
05 021 Arkansas
05 023 Arkansas
05 025 Arkansas
05 027 Arkansas
05 029 Arkansas
05 031 Arkansas
05 033 Arkansas
05 035 Arkansas
05 037 Arkansas
05 039 Arkansas
05 041 Arkansas
05 043 Arkansas
05 045 Arkansas
05 047 Arkansas
05 049 Arkansas
05 051 Arkansas
05 053 Arkansas
05 055 Arkansas
05 057 Arkansas
Oklahoma
Okmulgee
Osage
Ottawa
Pawnee
Payne
Pittsburg
Pontotoc
Pottawatomie
Pushmataha
Roger Mills
Rogers
Seminole
Sequoyah
Stephens
Texas
Tillman
Tulsa
Wagoner
Washington
Washita
Woods
Woodward
Arkansas
Ashley
Baxter
Benton
Boone
Bradley
Calhoun
Carroll
Chicot
Clark
Clay
Cleburne
Cleveland
Columbia
Conway
Craighead
Crawford
Crittenden
Cross
Dallas
Desha
Drew
Faulkner
Franklin
Fulton
Garland
Grant
Greene
Hempstead
05 059 Arkansas
05 061 Arkansas
05 063 Arkansas
05 065 Arkansas
05 067 Arkansas
05 069 Arkansas
05 071 Arkansas
05 073 Arkansas
05 075 Arkansas
05 077 Arkansas
05 079 Arkansas
05 081 Arkansas
05 083 Arkansas
05 085 Arkansas
05 087 Arkansas
05 089 Arkansas
05 091 Arkansas
05 093 Arkansas
05 095 Arkansas
05 097 Arkansas
05 099 Arkansas
05 101 Arkansas
05 103 Arkansas
05 105 Arkansas
05 107 Arkansas
05 109 Arkansas
05 111 Arkansas
05 113 Arkansas
05 115 Arkansas
05 117 Arkansas
05 119 Arkansas
05 121 Arkansas
05 123 Arkansas
05 125 Arkansas
05 127 Arkansas
05 129 Arkansas
05 131 Arkansas
05 133 Arkansas
05 135 Arkansas
05 137 Arkansas
05 139 Arkansas
05 141 Arkansas
05 143 Arkansas
05 145 Arkansas
05 147 Arkansas
05 149 Arkansas
ATTAINMENT PORTION
29 001 Missouri
29 003 Missouri
29 005 Missouri
29 007 Missouri
29 009 Missouri
29 Oil Missouri
Hot Spring
Howard
Independence
Izard
Jackson
Jefferson
Johnson
Lafayette
Lawrence
Lee
Lincoln
Little River
Logan
Lonoke
Madison
Marion
Miller
Mississippi
Monroe
Montgomery
Nevada
Newton
Ouachita
Perry
Phillips
Pike
Poinsett
Polk
Pope
Prairie
Pulaski
Randolph
St. Francis
Saline
Scott
Searcy
Sebastian
Sevier
Sharp
Stone
Union
Van Buren
Washington
White
Woodruff
Yell
OF MISSOURI - PL1
Adair
Andrew
Atchison
Audrain
Barry
Barton
CH-95-51
A-23
-------
29 013
29 015
29 017
29 019
29 021
29 023
29 025
29 027
29 029
29 031
29 033
29 035
29 037
29 039
29 041
29 043
29 045
29 047
29 049
29 051
29 053
29 055
29 057
29 059
29 061
29 063
29 065
29 067
29 069
29 073
29 075
29 077
29 079
29 081
29 083
29 085
29 087
29 089
29 091
29 093
29 095
29 097
29 101
29 103
29 105
29 107
29 109
29 111
29 113
29 115
29 117
29 119
29 121
29 123
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Bates
Benton
Bellinger
Boone
Buchanan
Butler
Caldwell
Callaway
Camden
Cape Girardeau
Carroll
Carter
Cass
Cedar
Chariton
Christian
Clark
Clay
Clinton
Cole
Cooper
Crawford
Dade
Dallas
Davies
DeKalb
Dent
Douglas
Dunklin
Gasconade
Gentry
Green
Grundy
Harrison
Henry
Hickory
Holt
Howard
Howell
Iron
Jackson
Jasper
Johnson
Knox
Laclede
Lafayette
Lawrence
Lewis
Lincoln
Linn
Livingston
McDonald
Macon
Madison
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
125 Missouri
127 Missouri
129 Missouri
131 Missouri
133 Missouri
135 Missouri
137 Missouri
139 Missouri
141 Missouri
143 Missouri
145 Missouri
147 Missouri
149 Missouri
151 Missouri
153 Missouri
155 Missouri
157 Missouri
159 Missouri
161 Missouri
163 Missouri
165 Missouri
167 Missouri
169 Missouri
171 Missouri
173 Missouri
175 Missouri
177 Missouri
179 Missouri
181 Missouri
185 Missouri
186 Missouri
187 Missouri
510 Missouri
195 Missouri
197 Missouri
199 Missouri
201 Missouri
203 Missouri
205 Missouri
207 Missouri
209 Missouri
211 Missouri
213 Missouri
215 Missouri
217 Missouri
219 Missouri
221 Missouri
223 Missouri
225 Missouri
227 Missouri
KANSAS - PL2
20
20
001 Kansas
003 Kansas
Maries
Marion
Mercer
Miller
Mississippi
Moniteau
Monroe
Montgomery
Morgan
New Madrid
Newton
Nodaway
Oregon
Osage
Ozark
Pemiscot
Perry
Pettis
Phelps
Pike
Platte
Polk
Pulaski
Putnam
Rails
Randolph
Ray
Reynolds
Ripley
St. Clair
Ste. Genevieve
St. Francois
St. Louis City
Saline
Schuyler
Scotland
Scott
Shannon
Shelby
Stoddard
Stone
Sullivan
Taney
Texas
Vernon
Warren
Washington
Wayne
Webster
Worth
Allen
Anderson
CH-95-51
A-24
-------
20 005
20 007
20 009
20 Oil
20 013
20 015
20 017
20 019
20 021
20 023
20 025
20 027
20 029
20 031
20 033
20 035
20 037
20 039
20 041
20 043
20 045
20 047
20 049
20 051
20 053
20 055
20 057
20 059
20 061
20 063
20 065
20 067
20 069
20 071
20 073
20 075
20 077
20 079
20 081
20 083
20 085
20 087
20 089
20 091
20 093
20 095
20 097
20 099
20 101
20 103
20 105
20 107
20 109
20 111
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Atchison
Barber
Barton
Bourbon
Brown
Butler
Chase
Chautauqua
Cherokee
Cheyenne
Clark
Clay
Cloud
Coffey
Comanche
Cowley
Crawford
Decatur
Dickinson
Doniphan
Douglas
Edwards
Elk
Ellis
Ellsworth
Finney
Ford
Franklin
Geary
Gove
Graham
Grant
Gray
Greeley
Greenwood
Hamilton
Harper
Harvey
Haskell
Hodgeman
Jackson
Jefferson
Jewell
Johnson
Kearny
Kingman
Kiowa
Labette
Lane
Leavenworth
Lincoln
Linn
Logan
Lyon
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
113
115
117
119
121
123
125
127
129
131
133
135
137
139
141
143
145
147
149
151
153
155
157
159
161
163
165
167
169
171
173
175
177
179
181
183
185
187
189
191
193
195
197
199
201
203
205
207
209
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
Kansas
McPherson
Marion
Marshall
Meade
Miami
Mitchell
Montgomery
Morris
Morton
Nemaha
Neosho
Ness
Norton
Osage
Osborne
Ottawa
Pawnee
Phillips
Pottawatomie
Pratt
Rawlins
Reno
Republic
Rice
Riley
Rooks
Rush
Russell
Saline
Scott
Sedgwick
Seward
Shawnee
Sheridan
Sherman
Smith
Stafford
Stanton
Stevens
Sumner
Thomas
Trego
Wabaunsee
Wallace
Washington
Wichita
Wilson
Woodson
Wyandotte
NEBRASKA - PL3
31
31
31
001
003
005
Nebraska
Nebraska
Nebraska
Adams
Antelope
Arthur
CH-95-51
A-25
-------
31 007
31 009
31 Oil
31 013
31 015
31 017
31 019
31 021
31 023
31 025
31 027
31 029
31 031
31 033
31 035
31 037
31 039
31 041
31 043
31 045
31 047
31 049
31 051
31 053
31 055
31 057
31 059
31 061
31 063
31 065
31 067
31 069
31 071
31 073
31 075
31 077
31 079
31 081
31 083
31 085
31 087
31 089
31 091
31 093
31 095
31 097
31 099
31 101
31 103
31 105
31 107
31 109
31 111
31 113
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Nebraska
Banner
Blaine
Boone
Box Butte
Boyd
Brown
Buffalo
Burt
Butler
Cass
Cedar
Chase
Cherry
Cheyenne
Clay
Colfax
Cuming
Custer
Dakota
Dawes
Dawson
Deuel
Dixon
Dodge
Douglas
Dundy
Fillmore
Franklin
Frontier
Fumas
Gage
Garden
Garfield
Gosper
Grant
Greeley
Hall
Hamilton
Harlan
Hayes
Hitchcock
Holt
Hooker
Howard
Jefferson
Johnson
Kearney
Keith
Keya Paha
Kimball
Knox
Lancaster
Lincoln
Logan
31 115 Nebraska
31 117 Nebraska
31 119 Nebraska
31 121 Nebraska
31 123 Nebraska
31 125 Nebraska
31 127 Nebraska
31 129 Nebraska
31 131 Nebraska
31 133 Nebraska
31 135 Nebraska
31 137 Nebraska
31 139 Nebraska
31 141 Nebraska
31 143 Nebraska
31 145 Nebraska
31 147 Nebraska
31 149 Nebraska
31 151 Nebraska
31 153 Nebraska
31 155 Nebraska
31 157 Nebraska
31 159 Nebraska
31 161 Nebraska
31 163 Nebraska
31 165 Nebraska
31 167 Nebraska
31 169 Nebraska
31 171 Nebraska
31 173 Nebraska
31 175 Nebraska
31 177 Nebraska
31 179 Nebraska
31 181 Nebraska
31 183 Nebraska
31 185 Nebraska
IOWA - PL4
19 001 Iowa
19 003 Iowa
19 005 Iowa
19 007 Iowa
19 009 Iowa
19 Oil Iowa
19 013 Iowa
19 015 Iowa
19 017 Iowa
19 019 Iowa
19 021 Iowa
19 023 Iowa
19 025 Iowa
19 027 Iowa
19 029 Iowa
19 031 Iowa
Loup
McPherson
Madison
Merrick
Morrill
Nance
Nemaha
Nuckolls
Otoe
Pawnee
Perkins
Phelps
Pierce
Platte
Polk
Red Willow
Richardson
Rock
Saline
Sarpy
Saunders
Scotts Bluff
Seward
Sheridan
Sherman
Sioux
Stauton
Thayer
Thomas
Thurston
Valley
Washington
Wayne
Webster
Wheeler
York
Adair
Adams
Allamakee
Appanoose
Audubon
Benton
Black Hwak
Boone
Bremer
Buchanan
Buena Vista
Butler
Calhoun
Carroll
Cass
Cedar
CH-95-51
A-26
-------
19 033
19 035
19 037
19 039
19 041
19 043
19 045
19 047
19 049
19 051
19 053
19 055
19 057
19 059
19 061
19 063
19 065
19 067
19 069
19 071
19 073
19 075
19 077
19 079
19 081
19 083
19 085
19 087
19 089
19 091
19 093
19 095
19 097
19 099
19 101
19 103
19 105
19 107
19 109
19 111
19 113
19 115
19 117
19 119
19 121
19 123
19 125
19 127
19 129
19 131
19 133
19 135
19 137
19 139
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Cerro Gordo
Cherokee
Chickasaw
Clarke
Clay
Clayton
Clinton
Crawford
Dallas
Davis
Decatur
Delaware
Des Moines
Dickinson
Dubuque
Emmet
Fayette
Floyd
Franklin
Fremont
Greene
Grundy
Gutnrie
Hamilton
Hancock
Hardin
Harrison
Henry
Howard
Humboldt
Ida
Iowa
Jackson
Jasper
Jefferson
Johnson
Jones
Keokuk
Kossuth
Lee
Linn
Louisa
Lucas
Lyon
Madison
Mahaska
Marion
Marshall
Mills
Mitchell
Monona
Monroe
Montgomery
Muscatine
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
141
143
145
147
149
151
153
155
157
159
161
163
165
167
169
171
173
175
177
179
181
183
185
187
189
191
193
195
197
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
Iowa
COLORADO - RM1
08 001 Colorado
08 003 Colorado
08 005 Colorado
08 007 Colorado
08 009 Colorado
08 Oil Colorado
08 013 Colorado
08 015 Colorado
08 017 Colorado
08 019 Colorado
08 021 Colorado
08 023 Colorado
08 025 Colorado
08 027 Colorado
08 029 Colorado
08 031 Colorado
08 033 Colorado
08 035 Colorado
08 037 Colorado
08 039 Colorado
08 041 Colorado
08 043 Colorado
08 045 Colorado
O'Brien
Osceola
Page
Palo Alto
Plymouth
Pocahontas
Polk
Pottawattamie
Poweshiek
Ringgold
Sac
Scott
Shelby
Sioux
Story
Tama
Taylor
Union
Van Buren
Wapello
Warren
Washington
Wayne
Webster
Winnebago
Winneshiek
Woodbury
Worth
Wright
Adams
Alamosa
Arapahoe
Archuleta
Baca
Bent
Boulder
Chaffee
Cheyenne
Clear Creek
Conejos
Costilla
Crowley
Custer
Delta
Denver
Dolores
Douglas
Eagle
Elbert
El Paso
Fremont
Garfield
CH-95-51
A-27
-------
08 047
08 049
08 051
08 053
08 055
08 057
08 059
08 061
08 063
08 065
08 067
08 069
08 071
08 073
08 075
08 077
08 079
08 081
08 083
08 085
08 087
08 089
08 091
08 093
08 095
08 097
08 099
08 101
08 103
08 105
08 107
08 109
08 111
08 113
08 115
08 117
08 119
08 121
08 123
08 125
UTAH
49 001
49 003
49 005
49 007
49 009
49 Oil
49 013
49 015
49 017
49 019
49 021
49 023
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
RM2
Utah
Utah
Utah
Utah
Utah
Utah
Utah
Utah
Utah
Utah
Utah
Utah
Gilpin
Grand
Gunnison
Hinsdale
Huerfano
Jackson
Jefferson
Kiowa
Kit Carson
Lake
La Plata
Larimer
Las Animas
Lincoln
Logan
Mesa
Mineral
Moffat
Montezuma
Montrose
Morgan
Otero
Ouray
Park
Phillips
Pitkin
Prowers
Pueblo
Rio Blanco
Rio Grande
Routt
Saguache
San Juan
San Miguel
Sedgwick
Summit
Teller
Washington
Weld
Yuma
Beaver
Box Elder
Cache
Carbon
Daggett
Davis
Duchesne
Emery
Garfield
Grand
Iron
Juab
49 025
49 027
49 029
49 031
49 033
49 035
49 037
49 039
49 041
49 043
49 045
49 047
49 049
49 051
49 053
49 055
49 057
Utah
Utah
Utah
Utah
Utah
Utah
Utah
Utah
Utah
Utah
Utah
Utah
Utah
Utah
Utah
Utah
Utah
WYOMING - RM3
56 001 Wyoming
56 003 Wyoming
56 005 Wyoming
56 007 Wyoming
56 009 Wyoming
56 Oil Wyoming
56 013 Wyoming
56 015 Wyoming
56 017 Wyoming
56 019 Wyoming
56 021 Wyoming
56 023 Wyoming
56 025 Wyoming
56 027 Wyoming
56 029 Wyoming
56 031 Wyoming
56 033 Wyoming
56 035 Wyoming
56 037 Wyoming
56 039 Wyoming
56 041 Wyoming
56 043 Wyoming
56 045 Wyoming
NORTH
38 001
38 003
38 005
38 007
38 009
38 Oil
38 013
38 015
38 017
38 019
DAKOTA - RM4
North Dakota
North Dakota
North Dakota
North Dakota
North Dakota
North Dakota
North Dakota
North Dakota
North Dakota
North Dakota
Kane
Millard
Morgan
Piute
Rich
Salt Lake
San Juan
Sanpete
Sevier
Summit
Tooele
Uintah
Utah
Wasatch
Washington
Wayne
Weber
Albany
Big Horn
Campbell
Carbon
Converse
Crook
Fremont
Goshen
Hot Springs
Johnson
Laramie
Lincoln
Natrona
Niobrara
Park
Platte
Sheridan
Sublette
Sweetwater
Teton
Uinta
Washakie
Weston
Adams
Barnes
Benson
Billings
Bottineau
Bowman
Burke
Burleigh
Cass
Cavalier
CH-95-51
A-28
-------
38
38
38
38
38
38
38
38
38
38
38
38
38
38
38
38
38
38
38
38
38
38
38
38
38
38
38
38
38
38
38
38
38
38
38
38
38
38
38
38
38
38
38
021
023
025
027
029
031
033
035
037
039
041
043
045
047
049
051
053
055
057
059
061
063
065
067
069
071
073
075
077
079
081
083
085
087
089
091
093
095
097
099
101
103
105
SOUTH
46
46
46
46
46
46
46
46
46
003
005
007
009
Oil
013
015
017
019
North
Dakota
North Dakota
North
North
North
North
North
North
North
North
North
North
North
North
North
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
North Dakota
North
North
North
North
North
North
North
North
North
North
North
North
North
North
North
North
North
North
North
North
North
North
North
North
North
North
North
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dickey
Divide
Dunn
Eddy
Emmons
Foster
Golden Valley
Grand Forks
Grant
Griggs
Hettinger
Kidder
LaMoure
Logan
McHenry
Mclntosh
McKenzie
McLean
Mercer
Morton
Mountrail
Nelson
Oliver
Pembina
Pierce
Ramsey
Ransom
Renville
Richland
Rolette
Sargent
Sheridan
Sioux
Slope
Stark
Steele
Stutsman
Towner
Traill
Walsh
Ward
Wells
Williams
DAKOTA - RM5
South
South
South
South
South
South
South
South
South
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Aurora
Beadle
Bennett
Bon Homme
Brookings
Brown
Brule
Buffalo
Butte
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
46
021
023
025
027
029
031
033
035
037
039
041
043
045
047
049
051
053
055
057
059
061
063
065
067
069
071
073
075
077
079
081
083
085
087
089
091
093
095
097
099
101
103
105
107
109
111
113
115
117
119
121
123
125
127
South Dakota
South
South
South
South
South
South
South
South
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
South Dakota
South
South
South
South
South
South
South
South
South
South
South
South
South
South
South
South
South
South
South
South
South
South
South
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
South Dakota
South Dakota
South
South
South
South
South
South
South
South
South
South
South
South
South
South
South
South
South
South
South
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Dakota
Campbell
Charles Mix
Clark
Clay
Codington
Corson
Custer
Davison
Day
Deuel
Dewey
Douglas
Edmunds
Fall River
Faulk
Grant
Gregory
Haakon
Hamlin
Hand
Hanson
Harding
Hughes
Hutchinson
Hyde
Jackson
Jerauld
Jones
Kingsbury
Lake
Lawrence
Lincoln
Lyman
McCook
McPherson
Marshall
Meade
MeUette
Miner
Minnehaha
Moody
Pennington
Perkins
Potter
Roberts
Sanborn
Shannon
Spink
Stanley
Sully
Todd
Tripp
Turner
Union
CH-95-51
A-29
-------
46 129 South Dakota
46 131 South Dakota
46 135 South Dakota
46 137 South Dakota
MONTANA - RM6
30 001 Montana
30 003 Montana
30 005 Montana
30 007 Montana
30 009 Montana
Montana
Montana
30 Oil
30 013
30 015 Montana
31 017 Montana
30 019
30 021
30 023
30 025
30 027
Montana
Montana
Montana
Montana
Montana
30 029 Montana
30 030 Montana
30 033 Montana
30 035 Montana
30 037 Montana
30 039 Montana
30 041 Montana
30 043 Montana
30 045 Montana
30 047 Montana
30 049 Montana
30 051 Montana
30 053 Montana
30 055 Montana
30 057 Montana
30 059 Montana
30 061 Montana
30 063 Montana
Montana
Montana
Montana
Montana
Montana
Montana
Montana
Montana
Montana
Montana
Montana
Montana
Montana
Montana
Montana
30 065
30 067
30 069
30 071
30 073
30 075
30 077
30 079
30 081
30 083
30 085
30 087
30 089
30 091
30 093
30 095 Montana
Walworth
Washabaugh
Yankton
Ziebach
Beaverhead
Big Horn
Blaine
Broadwater
Carbon
Carter
Cascade
Chouteau
Custer
Daniels
Dawson
Deer Lodge
Fallen
Fergus
Flat Head
Gallatin
Garfield
Glacier
Golden Valley
Granite
Hill
Jefferson
Judith Basin
Lake
Lewis and Clark
Liberty
Lincoln
McCone
Madison
Meagher
Mineral
Missoula
Musselshell
Park
Petroleum
Phillips
Pondera
Powder River
Powell
Prairie
Ravalli
Richland
Roosevelt
Rosebud
Sanders
Sheridan
Silver Bow
Stillwater
30
30
30
30
30
30
30
30
30
097 Montana
099 Montana
101 Montana
103 Montana
105 Montana
107 Montana
109 Montana
1 1 1 Montana
1 13 Montana
IDAHO - RM7
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
001 Idaho
003 Idaho
005 Idaho
007 Idaho
009 Idaho
Oil Idaho
013 Idaho
015 Idaho
017 Idaho
019 Idaho
021 Idaho
023 Idaho
025 Idaho
027 Idaho
029 Idaho
031 Idaho
033 Idaho
035 Idaho
037 Idaho
039 Idaho
041 Idaho
043 Idaho
045 Idaho
047 Idaho
049 Idaho
051 Idaho
053 Idaho
055 Idaho
057 Idaho
059 Idaho
061 Idaho
063 Idaho
065 Idaho
067 Idaho
069 Idaho
071 Idaho
073 Idaho
075 Idaho
077 Idaho
079 Idaho
081 Idaho
083 Idaho
085 Idaho
Sweet Grass
Teton
Toole
Treasure
Valley
Wheatland
Wibaux
Yellowstone
Yellowstone Park
Ada
Adams
Bannock
Bear Lake
Benewah
Bingham
Blaine
Boise
Bonner
Bonneville
Boundary
Butte
Camas
Canyon
Caribou
Cassia
Clark
Clearwater
Custer
Elmore
Franklin
Fremont
Gem
Gooding
Idaho
Jefferson
Jerome
Kootenai
Latah
Lemhi
Lewis
Lincoln
Madison
Minidoka
Nez Perce
Oneida
Owyhee
Payette
Power
Shoshone
Teton
Twin Falls
Valley
CH-95-51
A-30
-------
16 087 Idaho
OREGON - RMS
41 001 Oregon
41 003 Oregon
41 005 Oregon
41 007 Oregon
41 009 Oregon
41 Oil Oregon
41 013 Oregon
41 015 Oregon
41 017 Oregon
41 019 Oregon
41 021 Oregon
41 023 Oregon
41 025 Oregon
41 027 Oregon
41 029 Oregon
41 031 Oregon
41 033 Oregon
41 035 Oregon
41 037 Oregon
41 039 Oregon
41 041 Oregon
41 043 Oregon
41 045 Oregon
41 047 Oregon
41 049 Oregon
41 051 Oregon
41 053 Oregon
41 055 Oregon
41 057 Oregon
41 059 Oregon
41 061 Oregon
41 063 Oregon
41 065 Oregon
41 067 Oregon
41 069 Oregon
41 071 Oregon
WASHINGTON - RM9
53 001 Washington
53 003 Washington
53 005 Washington
53 007 Washington
53 009 Washington
53 Oil Washington
53 013 Washington
53 015 Washington
53 017 Washington
53 019 Washington
53 021 Washington
53 023 Washington
53 025 Washington
Washington
Baker
Benton
Clackamas
Clatsop
Columbia
Coos
Crook
Curry
Deschutes
Douglas
Gilliam
Grant
Harney
Hood River
Jackson
Jefferson
Josephine
Klamath
Lake
Lane
Lincoln
Linn
Malheur
Marion
Morrow
Multnomah
Polk
Sherman
Tillamook
Umatilla
Union
Wallowa
Wasco
Washington
Wheeler
Yamhill
Adams
Asotin
Benton
Chelan
Clallam
Clark
Columbia
Cowlitz
Douglas
Ferry
Franklin
Garfield
Grant
53 027 Washington
53 029 Washington
53 03 1 Washington
53 033 Washington
53 035 Washington
53 037 Washington
53 039 Washington
53 041 Washington
53 043 Washington
53 045 Washington
53 047 Washington
53 049 Washington
53 051 Washington
53 053 Washington
53 055 Washington
53 057 Washington
53 059 Washington
53 061 Washington
53 063 Washington
53 065 Washington
53 067 Washington
53 069 Washington
53 071 Washington
53 073 Washington
53 075 Washington
53 077 Washington
Grays Harbor
Island
Jefferson
King
Kitsap
Kittitas
Klickitat
Lewis
Lincoln
Mason
Okanogan
Pacific
Pend Oreille
Pierce
San Juan
Skagit
Skamania
Snohomish
Spokane
Stevens
Thurston
Wahkiakum
Walla Walla
Whatcom
Whitman
Yakima
LOS ANGELES-SOUTH COAST AIR BASIN
NONATTAINMENT AREA - FW1
06 037 California Los Angeles
06 053 California Monterey
06 059 California Orange
06 065 California Riverside
06 069 California SanBenito
06 071 California San Bernardino
06 087 California Santa Cruz
SAN DIEGO NONATTAINMENT AREA - FW2
06 073 California San Diego
VENTURA COUNTY NONATTAINMENT AREA
FW3
06 111 California Ventura
SACRAMENTO METRO NONATTAINMENT
AREA FW4
06 017 California El Dorado
06 061 California Placer
06 067 California Sacramento
06 095 California Solano
06 101 California Sutler
06 113 California Yolo
SAN JOAQUIN VALLEY NONATTAINMENT
CH-95-51
A-31
-------
AREA
06
06
06
06
06
06
06
06
019
029
031
039
047
077
099
107
FW5
California
California
California
Calfornia
California
California
California
California
ATTAINMENT PORTION
06
06
06
06
06
06
06
06
06
06
06
06
06
06
06
06
06
06
06
06
06
06
06
06
06
06
06
06
06
06
06
06
06
06
06
001
003
005
007
009
Oil
013
015
021
023
025
027
033
035
041
043
045
049
051
055
057
063
075
079
081
083
085
089
091
093
097
103
105
109
115
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
Fresno
Kern
Kings
Madera
Merced
San Joaquin
Stanislaus
Tulare
OF CALIFORNIA FW6
Alameda
Alpine
Amador
Butte
Calaveras
Colusa
Contra Costa
Del None
Glenn
Humboldt
Imperial
Inyo
Lake
Lassen
Marin
Mariposa
Mendocino
Modoc
Mono
Napa
Nevada
Plumas
San Francisco
San Luis Obispo
San Mateo
Santa Barbara
Santa Clara
Shasta
Sierra
Siskiyou
Sonoma
Tenama
Trinity
Tuolumne
Yuba
32
32
32
32
32
32
32
32
32
32
32
Oil
013
015
017
019
021
023
027
029
031
033
Nevada
Nevada
Nevada
Nevada
Nevada
Nevada
Nevada
Nevada
Nevada
Nevada
Nevada
ARIZONA FW8
04
04
04
04
04
04
04
04
04
04
04
04
04
04
001
003
005
007
009
Oil
013
015
017
019
021
023
025
027
Arizona
Arizona
Arizona
Arizona
Arizona
Arizona
Arizona
Arizona
Arizona
Arizona
Arizona
Arizona
Arizona
Arizona
NEVADA FW7
32 510 Nevada
32 001 Nevada
32 003 Nevada
32 005 Nevada
32 007 Nevada
32 009 Nevada
Carson City
Churchill
Clark
Douglas
Elko
Esmeralda
Eureka
Humboldt
Lander
Lincoln
Lyon
Mineral
Nye
Pershing
Storey
Washoe
White Pine
Apache
Cochise
Coconino
Gila
Graham
Greenlee
Maricopa
Mohave
Navajo
Pirna
Final
Santa Cruz
Yavapai
Yuma
CH-95-51
A-32
-------
APPENDIX B
FILE FORMATS FOR E-GAS VEHICLE
VMT INPUT
CH-95-51
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E-GAS VEHICLE MILES Traveled (VMT) INPUT FILE FORMAT
Filename: chosen by user
1. For one growth factor for all VMT SCCs.
FORMAT:
STATE COUNTY YEAR FACTOR
2. For one growth factor for each road type.
FORMAT:
STATE COUNTY YEAR ROAD TYPE FACTOR
ROAD TYPE CODES:
11 - Interstate - Rural
13 - Other principal arterial - Rural
15 Minor Arterial - Rural
17 - Major Collector - Rural Total
19 - Minor Collector - Rural Total
21 - Local Rural
23 - Interstate - Urban
25 - Other freeways and expressways - Urban
27 - Other principal arterial - Urban
29 - Minor arterial Urban
31 Collector - Urban
33 - Local - Urban
3. For one growth factor for each road and vehicle type combination.
FORMAT:
STATE COUNTY YEAR ROAD TYPE VEHICLE TYPE FACTOR
ROAD TYPE CODES:
11 - Interstate - Rural
13 - Other principal arterial - Rural
15 - Minor Arterial Rural
17 Major Collector - Rural Total
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19 - Minor Collector - Rural Total
21 - Local Rural
23 - Interstate Urban
25 - Other freeways and expressways Urban
27 - Other principal arterial Urban
29 - Minor arterial Urban
31 Collector - Urban
33 - Local Urban
VEHICLE TYPE CODES:
1001 - Light duty gasoline vehicle
1020 - Light duty gasoline truck 1
1040 - Light duty gasoline truck 2
1060 - Light duty gasoline truck total
1070 - Heavy duty gasoline vehicle
0001 - Light duty diesel vehicle
0060 - Light duty diesel truck
0070 - Heavy duty diesel vehicle
where: STATE = 2-digit Federal Information Processing Standard
(FIPS) code
COUNTY = 3-digit FIPS code
YEAR = 4-digit year
ROAD TYPE = 2-digit road type code
VEHICLE TYPE = 4-digit vehicle type code
FACTOR = Growth Factor (e.g., .1, 1.1, 1.12, 1.123, etc.)
NOTE: When creating this file, at least one space must exist between each
field. Since the system is capable of handling floating decimal points, the
growth factor character length and position of the decimal is flexible. In
addition, do not use the following file names when creating the VMTfile:
VMT OUT.DAT or VMT OUT. SCC. These file names are created by the
system when processing either the EGAS default VMT data or when processing
user supplied VMT data. Using these file names could cause a loss of data or
could cause the system to crash.
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APPENDIX C
E-GAS OUTPUT FILES
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STANDARD E-GAS OUTPUT
Commercial Fuel Combustion File
Electric Utility Fuel Combustion File
Industrial Fuel Combustion File
Miscellaneous Point and Area Source Processes File
Point Source and Area Source Processes (Manufacturing) File
Residential Fuel Combustion File
Mobil Source (VMT) File
FILENAME.EXTENSION
COMM FUEL.SCC
ELECTRIC. SCC
IND FUEL.SCC
OTHER.SCC
PHY. SCC
RES FUEL.SCC
VMT OUT. SCC
EPS OUTPUT
Point Source File
Area/Mobile Source File
FILENAME.EXTENSION
PROJECT.PTS
PROJECT.AMS
2-DIGIT SIC OUTPUT
Commercial Fuel Combustion File
Electric Utility Fuel Combustion File
Industrial Fuel Combustion File
Point Source and Area Source Processes (Manufacturing) File
FILENAME.EXTENSION
COM FUEL.SIC
ELECTRIC.SIC
IND FUEL.SIC
PHY.SIC
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APPENDIX D
BEA MODULE MESSAGE
AND
OUTPUT FILES
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BEA MODULE MESSAGE
The utility you have selected to use to develop growth factors for your geographic area is the BEAFAC
program from the Urban Airshed Model(UAM)/Regional Oxidant Model (ROM) Emissions Preprocessor
System (EPS). This program is a linear interpolation of the projected data points provided by the Bureau
of Economic Analysis (BEA). The BEAFAC program does not allow any user options (e.g., selection of a
national macroeconomic forecast).
This utility does not input/output any of its economic data to or through the REMI models or any part of
the main E-GAS model. There are in fact no economic modeling interactions between this utility and the
restofE-GAS.
Currently, the data provided by the BEA is from their projections released in August 1990 and the latest
historical year included in the forecast is 1988.
The following assumptions are made within this utility:
1. Basis for the linear interpolation is earnings growth by 2-digit SIC by State.
2. Projections have been developed for the years 1990 - 2015.
3. Geographic detail is at the State-level only.
4. As a convenience to the user, these State-level projections are crosswalked to all counties
within a State. However, growth is uniform across the State due to the level of detail that is
available from BEA.
5. The growth from these 2-digit SICs are crosswalked to SCCs based on the crosswalk
developed for the main E-GAS model.
6. The same growth factors used for the manufacturing SCCs are used for the associated fossil
fuel SCCs. That is to say, as the growth in SIC 29 goes, so goes the growth in its associated
fossil fuel consumption.
This utility does not use any input/output from the main E-GAS fossil fuel models, HOMES, CSEMS,
INRAD, andEUMOD.
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The VMT module cannot be accessed within this BE A utility. You must run the main E-GAS model to
obtain VMT growth factors.
Two output options are available. These are ASCII text files - a standard SCC output similar to the
Standard E-GAS output and an SIC output. An EPS output option is not provided within this utility. Both
the SCC and SIC output use the same file naming convention (see the table below).
BEA OUTPUT FILES
BEA OUTPUT
Commercial Fuel Combustion File
Electric Utility Fuel Combustion File
Industrial Fuel Combustion File
Miscellaneous Point and Area Source Processes File
Point Source and Area Source Processes (Manufacturing) File
Residential Fuel Combustion File
FILENAME.EXTENSION
COMM FUEL.BEA
ELECTRIC. BE A
IND FUEL.BEA
OTHER.BEA
PHY.BEA
RES FUEL.BEA
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TECHNICAL REPORT DATA .
(Please read Jruovflions OH the reverse before completing)
. REPORT NO.
EPA-600/R-95-132b
3. RECIPIENT'S ACCESSION-NO.
4. TITLE AND SUBTITLE
Economic Growth Analysis System: User's Guide,
Version 3.0
6. REPORT DATE
August 1995
6. PERFORMING ORGANIZATION CODE
. AUTHOR(S)
Terri Young
8. PERFORMING ORGANIZATION REPORT NO.
CH-95-51
1O. PROGRAM ELEMENT NO.
I. PERFORMING ORGANIZATION NAME AND ADDRESS
TRC Environmental Corporation
6340 Quadrangle Drive, ^uite 100
Chapel Hill, North Carolina 27514
11. CONTRACT/GRANT NO.
68-D2-0181, Task 27019
12. SPONSORING AGENCY NAME AND ADDRESS
EPA, Office of Research and Development
Air Pollution Prevention and Control Division
Research Triangle Park, NC 27711
13. TYPE OF REPORT AND PERIOD COVERED
Task Final; 10/94 - 6/95
14. SPONSORING AGENCY CODE
EPA/600/13
IB.SUPPLEMENTARY NOTES APPCD project officer is E. Sue Kimbrough, Mail Drop 62, 919/
541-2612. This volume cancels and supersedes EPA-600/R-94-l39b. The full report
cc;nsists of two volumes and 39 related disks.
ie. ABSTRACT
two-volume report describes the development of, and provides infor-
mation needed to operate, the Economic Growth Analysis System (E-GAS) Version
3.0 model. The model will be used to project emissions inventories of volatile orga-
nic compounds (VOCs), oxides of nitrogen (NOx), and carbon monoxide (CO) for
ozone nonattainment areas and Regional Oxidation Model (ROM) modeling regions.
The report details the design and development of E-GAS and includes detailed des-
criptions of the workings of the E-GAS computer modeling software components and
external software. The system is an economic and activity forecast model that trans-
lates the user's assumptions regarding regional economic policies and respurce pri-
ces into Source Classification Code (SCC) level growth factors. The report provides
E-GAS users with sufficient background information to understand the model's con-
struction, as well as the procedures and syntax necessary to operate the system. The
organization of the user's guide is determined by the process used in operating the
system, providing images of sample screens as well as text.
17.
KEY WORDS AND DOCUMENT ANALYSIS
DESCRIPTORS
O.IDENTIFIERS/OPEN ENDED TERMS
c. COSATI Field/Group
Pollution
Economics
rowth
Analyzing
Inventories
Nitrogen Oxides
Carbon Monoxide
Ozone
Pollution Control
Stationary Sources
Volatile Organic Com-
pounds (VOCs)
Mathematical Models Volatility
Emission Organic Compounds
3B 15E
|05C 07B
06P.06C
.4B
12A 20M
14G 07 C
18. DISTRIBUTION STATEMENT
Release to Public
19. SECURITY CLASS (ThisReport)'
Unclassified
21. NO. OF PAGES
89
20. SECURITY CLASS (This page)
Unclassified
22. PRICE
EPA Form 222O-1 (9-73)
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