U.S. Department of the Interior

U.S. Geological Survey

Scientific Investigations Report 2010-5034

National Water-Quality Assessment Program 

Method for Estimating Annual Atrazine Use for Counties in 

the Conterminous United States, 1992–2007
﻿ ﻿

Left: Photograph showing heads of grain sorghum (milo).

Middle: Photograph showing a red barn in a corn field.

Right: Photograph showing flowering sugar cane plants.

(Stock images purchased from istockphotos.com/)
Method for Estimating Annual Atrazine Use

for Counties in the Conterminous United

States, 1992–2007

By Gail P. Thelin and Wesley W. Stone

National Water-Quality Assessment Program

Scientific Investigations Report 2010–5034

U.S. Department of the Interior

U.S. Geological Survey
U.S. Department of the Interior

KEN SALAZAR, Secretary

U.S. Geological Survey

Marcia K. McNutt, Director

U.S. Geological Survey, Reston, Virginia: 2010

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reproduce any copyrighted materials contained within this report.

Suggested citation:

Thelin, G.P., and Stone, W.W., 2010, Method for estimating annual atrazine use for counties in the conterminous 

United States, 1992–2007: U.S. Geological Survey Scientific Investigations Report 2010–5034, 129 p.
iii

Foreword

The U.S. Geological Survey (USGS) is committed to providing the Nation with reliable scientific 

information that helps to enhance and protect the overall quality of life and that facilitates effective 

management of water, biological, energy, and mineral resources (http://www.usgs.gov/). Information 

on the Nation’s water resources is critical to ensuring long-term availability of water that is safe for 

drinking and recreation and is suitable for industry, irrigation, and fish and wildlife. Population growth and 

increasing demands for water make the availability of that water, now measured in terms of quantity and 

quality, even more essential to the long-term sustainability of our communities and ecosystems.

The USGS implemented the National Water-Quality Assessment (NAWQA) Program in 1991 to support 

national, regional, state, and local information needs and decisions related to water-quality management 

and policy (http://water.usgs.gov/nawqa). The NAWQA Program is designed to answer: What is the 

quality of our Nation’s streams and groundwater? How are conditions changing over time? How do 

natural features and human activities affect the quality of streams and groundwater, and where are those 

effects most pronounced? By combining information on water chemistry, physical characteristics, stream 

habitat, and aquatic life, the NAWQA Program aims to provide science-based insights for current and 

emerging water issues and priorities. From 1991–2001, the NAWQA Program completed interdisciplinary 

assessments and established a baseline understanding of water-quality conditions in 51 of the Nation’s 

river basins and aquifers, referred to as Study Units (http://water.usgs.gov/nawqa/studyu.html).

National and regional assessments are ongoing in the second decade (2001–2012) of the NAWQA 

Program as 42 of the 51 Study Units are selectively reassessed. These assessments extend the findings in 

the Study Units by determining status and trends at sites that have been consistently monitored for more 

than a decade, and filling critical gaps in characterizing the quality of surface water and groundwater. 

For example, increased emphasis has been placed on assessing the quality of source water and finished 

water associated with many of the Nation’s largest community water systems. During the second decade, 

NAWQA is addressing five national priority topics that build an understanding of how natural features 

and human activities affect water quality, and establish links between sources of contaminants, the 

transport of those contaminants through the hydrologic system, and the potential effects of contaminants 

on humans and aquatic ecosystems. Included are studies of the fate of agricultural chemicals, effects of 

urbanization on stream ecosystems, bioaccumulation of mercury in stream ecosystems, effects of nutrient 

enrichment on aquatic ecosystems, and transport of contaminants to public-supply wells. In addition, 

national syntheses of information on pesticides, volatile organic compounds (VOCs), nutrients, trace 

elements, and aquatic ecology are continuing.

The USGS aims to disseminate credible, timely, and relevant science information to address practical and 

effective water-resource management and strategies that protect and restore water quality. We hope this 

NAWQA publication will provide you with insights and information to meet your needs, and will foster 

increased citizen awareness and involvement in the protection and restoration of our Nation’s waters.

The USGS recognizes that a national assessment by a single program cannot address all water-resource 

issues of interest. External coordination at all levels is critical for cost-effective management, regulation, 

and conservation of our Nation’s water resources. The NAWQA Program, therefore, depends on advice 

and information from other agencies—Federal, state, regional, interstate, tribal, and local—as well as 

nongovernmental organizations, industry, academia, and other stakeholder groups. Your assistance and 

suggestions are greatly appreciated.

Matthew C. Larsen

Associate Director for Water
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v

Contents

Abstract...........................................................................................................................................................1

Introduction ....................................................................................................................................................1

Background ...........................................................................................................................................2

Purpose and Scope .............................................................................................................................2

Data Sources .................................................................................................................................................3

Atrazine-Use Data.................................................................................................................................3

Harvested Crop Acreage.....................................................................................................................4

Geospatial Data.....................................................................................................................................5

Method for Estimating Atrazine Use ..........................................................................................................5

Compilation of Annual Harvested Crop Acreages for each County.............................................6

Calculation of Atrazine Application Rates for Crops in CRDs Surveyed by DMRK:

Surveyed-CRD EPest Rates ..................................................................................................6

Estimation of Atrazine Crop Application Rates for Unsurveyed CRDs: Tier 1, Tier 2, and

Regional EPest Rates.......................................................................................................................7

Application of California DPR–PUR Data...................................................................................................7

Results and Discussion.................................................................................................................................9

Comparison of EPest-Use Estimates with Estimates from Other Sources................................24

Comparison of National Use Estimates ..........................................................................................24

Comparison of State Use Estimates ................................................................................................24

Application of County Atrazine-Use Data................................................................................................26

Summary and Conclusions.........................................................................................................................26

Acknowledgments.......................................................................................................................................27

References Cited..........................................................................................................................................27
vi

Tables

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and

associated counties ........................................................................ 30

Table 2. Relation of Doane Marketing Research-Kynetec (DMRK) crop categories (not

including California) to Census of Agriculture and National Agriculture

Statistics Service crop categories used in the atrazine-use estimation

process .......................................................................................104

Table 3. Mapping of California Department of Pesticide Regulation (DPR) crops to EPest

crops and associated 1992 and 2001 National Land Cover Dataset (NLCD) crop

categories reported in the county atrazine-use database..............................105

Figures

Figure 1. Map showing Crop Reporting Districts (CRD), counties, and U.S. Department of

Agriculture (USDA) Farm Production Regions .......................................... 3

Figure 2. Map showing example of a Primary Crop Reporting District (CRD) and

surrounding Tier 1 and Tier 2 CRDs ...................................................... 5

Figure 3. Diagram showing summary of the decision process followed to estimate

EPest rates and EPest use for unsurveyed Crop Reporting Districts (CRD) ......... 8

Figure 4. Graph showing national use of atrazine on major crops and other crops, 

1992–2007 .................................................................................... 9

Figure 5. Graphs showing dtribution of atrazine use by estimation method on all crops, 

on corn, sorghum, and sugar cane, and on minor crops, 1992–2007 .................. 10

Figure 6. Maps showing distribution of atrazine use and the proportion estimated using

an unsurveyed Crop Reporting District (CRD) rate, 1992–2007 ........................ 11

Figure 7. Maps showing distribution of atrazine use on corn and estimates derived from

an unsurveyed Crop Reporting District (CRD) rate,1992–2007 ........................ 18

Figure 8. Graph showing percentage of atrazine use and acreage estimates derived from

interpolated crop acreage, 1992–2007 ................................................... 22

Figure 9. Graphs showing comparison of Census of Agriculture and National Agriculture

Statistics Service (NASS) estimates of corn acreage in a county for 1992, 1997,

2002, and 2007 .............................................................................. 23

Figure 10. Graph showing national atrazine-use estimates for agricultural purposes,

1992–2007 .................................................................................... 24

Figure 11. Graphs showing comparison of EPest and National Pesticide Use Database

(NPUD) and National Agriculture Statistics Service Chemical Use (NASS-CU)

estimates of state atrazine use on corn................................................... 25
vii

Abbreviations and Acronyms

CRD Crop Reporting District

DMRK Doane Marketing Research-Kynetec 

DPR-PUR Department of Pesticide Regulation-Pesticide Use Reporting (California)

FIPS Federal Information Processing Standards

FSA Farm Services Administration

EPest use pesticide use estimates derived from surveyed and EPest rates

EPest rate crop application rate derived from surveyed-CRD, Tier 1, Tier 2 or regional rates

GIS Geographic Information System

NASS National Agriculture Statistics Service

NASS-CU National Agriculture Statistics Service Chemical Use

NAWQA National Water Quality Assessment Program

NCFAP National Center for Food and Agricultural Policy

NPUD National Pesticide Use Database

TRS Township, Range, Section

USDA U.S. Department of Agriculture

USEPA U.S. Environmental Protection Agency 

USGS U.S. Geological Survey
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Abstract

A method was developed to estimate annual atrazine use 

during 1992 to 2007 on sixteen crops and four agricultural 

land uses. For each year, atrazine use was estimated for all 

counties in the conterminous United States (except California) 

by combining (1) proprietary data from the Doane Marketing 

Research-Kynetec (DMRK) AgroTrak database on the mass 

of atrazine applied to agricultural crops, (2) county harvested 

crop acreage, by county, from the 1992, 1997, 2002, and 

2007 Censuses of Agriculture, and (3) annual harvested 

crop acreage from National Agriculture Statistics Service 

(NASS) for non-Census years. DMRK estimates of pesticide 

use on individual crops were derived from surveys of major 

field crops and selected specialty crops in multicounty areas 

referred to as Crop Reporting Districts (CRD). The CRDlevel atrazine-use estimates were disaggregated to obtain 

county-level application rates by dividing the mass (pounds) 

of pesticides applied to a crop by the acreage of that crop in 

the CRD to yield a rate per harvested acre. When atrazineuse estimates were not available for a CRD, crop, or year, 

an estimated rate was developed following a hierarchy of 

decision rules that checked first for the availability of a crop 

application rate from surveyed atrazine application rate(s) for 

adjacent CRDs for a specific year, and second, the rates from 

surveyed CRDs within for U.S. Department of Agriculture 

Farm Production Regions for a specific year or multiple years. 

The estimation method applied linear interpolation to estimate 

crop acreage for years when harvested acres for a crop and 

county were not reported in either the Census of Agriculture 

or the NASS database, but were reported by these data sources 

for other years for that crop and county. Data for atrazine 

use for the counties in California was obtained from farmers’ 

reports of pesticide use collected and published by the 

California Department of Pesticide Regulation-Pesticide Use 

Reporting (DPR–PUR) because these data are more complete 

than DMRK survey data. National and state annual atrazineuse totals derived by this method were compared with other 

published pesticide-use estimates and were highly correlated. 

The method developed is designed to be applicable to other 

pesticides for which there are similar data; however, for some 

pesticides that are applied to specialty crops, fewer surveys 

are usually available to estimate application rates and there 

are a greater number of years with unreported crop acreage, 

potentially resulting in greater uncertainty in use estimates.

Introduction

An important component of crop management is the 

application of pesticides to control weeds, insect infestations, 

plant diseases, and other pests. Pesticides have beneficial 

effects by improving the quality and yield of crops produced, 

but also may be transported to surface and groundwater 

where they may affect water quality adversely. Pesticide 

concentrations in streams vary widely across the United 

States and are influenced by many factors, such as the amount 

and timing of pesticide applications and the natural features 

of the area where they are applied, including soils, climate, 

and hydrology. In 1991, the U.S. Geological Survey (USGS) 

initiated the National Water Quality Assessment (NAWQA) 

Program to assess the quality of the Nation’s surface-water 

and groundwater resources, including a national assessment of 

the effects of pesticides on water quality. 

Nationally consistent current and historic information 

on the amount and geographic distribution of pesticide use is 

essential for designing NAWQA studies, interpreting waterquality data, assessing trends in pesticide use, and developing 

water-quality models. Readily available public data on 

pesticide use are incomplete and have coarse geographic and 

temporal coverage. Information on pesticide use is needed 

that has sufficient spatial and temporal resolution, as well as 

complete spatial coverage, in order to support a range of local, 

regional, and national studies. Methods are needed that enable 

estimation of pesticide use for areas and time periods that have 

not been surveyed.

Method for Estimating Annual Atrazine Use for Counties in

the Conterminous United States, 1992–2007

By Gail P. Thelin and Wesley W. Stone
2﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Background

The design of NAWQA national and regional studies 

is based on an environmental framework, which includes 

information on soils, hydrology, climate, land use and a 

variety of human-related attributes, including pesticide use. 

This framework is used to characterize the environmental 

setting of study areas and, in relation to pesticides, provides 

a context in which to explain their occurrence in the 

hydrologic environment and evaluate the processes that 

transport pesticides applied on the land surface to water. To 

date, pesticide-use information included in the NAWQA 

environmental framework and most interpretive studies has 

been limited primarily to agricultural uses. Information on 

agricultural use was developed by combining data on county 

harvested crop acres with state-level estimates of pesticidecrop application rates that were published in a series of three 

national pesticide-use databases compiled by the National 

Center for Food and Agricultural Policy (NCFAP) (Gianessi 

and Anderson, 1995; Gianessi and Marcelli, 2000) and most 

recently updated by CropLife Foundation (Gianessi and 

Reginar, 2006). Each of the three versions of the National 

Pesticide Use Database (NPUD) was centered on a year of the 

Census of Agriculture (1992, 1997, and 2002). 

The NPUD databases contain state-level pesticide-use 

information for over 200 pesticides used on 87 agricultural 

crops, and include state totals of the amounts of pesticides 

applied (in pounds) and percentage of crop acres treated 

in each state. These data were compiled from many 

sources, including the U.S. Department of Agriculture 

(USDA) Agricultural Chemical Use Database (http://www.

pestmanagement.info/nass/) for row crops, vegetables, 

and fruits and nut crops; crop profiles developed by crop 

specialists and agricultural extension agents; and annual data 

on pesticide use collected by the California Department of 

Pesticide Regulation-Pesticide Use Reporting, (DPR–PUR). 

NPUD estimates of the pounds of pesticides applied and 

percentage of acres treated were developed from typical 

application rates reported by the sources noted above. 

Although each NPUD database is centered on a specific 

Census year, the pesticide application rates and the state-level 

estimates are a combination of rates and estimates taken from 

a 4 to 5 year period. The data are not intended to represent 

actual pesticide use for a specific year, but instead represent 

broad use patterns for a multi-year period. For example, 

state estimates for a specific pesticide and crop in the NPUD 

1997 database may include application rates that are based 

on information from 1997 for some states and 1996 or 1998 

for other states. In addition, for some states and crops, the 

state-level pesticide-use estimates may be imputed from the 

application rate for a neighboring state(s). The NPUD 1992, 

1997, and 2002 databases are publicly available and are 

comprehensive sources of state-level pesticide-use information 

for the conterminous United States (http://cipm.ncsu.edu/

croplife/).

 The last NPUD database was published in 2002, and 

because of the temporal and geographic limitations of NPUD 

estimates, an alternative source of pesticide-use information 

was sought that could yield improved spatial resolution on 

an annual basis. Such data are not available from public 

sources. Doane Marketing Research-Kynetec (DMRK) is an 

agricultural marketing research firm that for the past 20 years 

has conducted annual crop surveys of over twenty-thousand 

United States farm operations. DMRK markets farm-related 

data through its proprietary electronic database, AgroTrak. 

AgroTrak data is used by industry to conduct market research 

and by private industry and the U.S. Environmental Protection 

Agency (USEPA) for such purposes as modeling applications 

and risk assessment. AgroTrak is the only source of annual 

pesticide-use data that is available for most states and for a 

large number of active ingredients. Like NPUD, however, 

these data are limited to agricultural pesticide uses only. 

Purpose and Scope

This report describes a new method for developing 

annual county-level estimates of atrazine use on agricultural 

crops for all areas of the conterminous United States that 

had reported crop acreage and that likely (based on reported 

crops) had applications of atrazine during 1992–2007. The 

method described for atrazine is a prototype for additional 

applications to other pesticides. The method uses AgroTrak 

survey data on pesticide use and Census of Agriculture and 

NASS data on harvested crop acreages for counties in all 

conterminous states except California. California DPR–

PUR data were used for California counties. To ensure that 

atrazine use was accounted for in all geographic areas of the 

conterminous United States, the method derived atrazine 

crop application rates for CRDs not surveyed by DMRK 

from adjacent Crop Reporting Districts (CRD) that had been 

surveyed. CRDs consist of multiple adjacent counties in each 

state, which were grouped by DMRK to represent similar 

geography, climate, and cropping practices. Atrazine was 

selected for method development and demonstration because 

it is a major agricultural herbicide that has been used in all 48 

contiguous states. From 1992 to 2007, atrazine use accounted 

for almost 10 percent of the total mass of all pesticides used 

in agriculture. County-level estimates produced by the method 

were used to produce national and state atrazine-use totals 

for comparison with other published atrazine-use data. An 

example application of these data is described that profiles 

atrazine-use intensity for 1992 through 1999 in selected 

watersheds. 
Data Sources 

3

Data Sources

The method incorporates pesticide-use information and 

data on harvested crop acreage for each year for counties 

in the conterminous United States for 1992 through 2007. 

Pesticide use information came from two sources: (1) 

AgroTrak annual atrazine-use estimates by CRD for the 

conterminous United States, except California and, (2) annual 

reported atrazine-use by Township, Range and Section (TRS) 

from the DPR–PUR for California. Annual county harvested 

crop acreages from the Censuses of Agriculture and NASS 

surveys were used in conjunction with the AgroTrak atrazineuse estimates to calculate estimates of pesticide use by crop 

and allocate pesticide use estimates to individual counties. 

Harvested rather than planted acreage was used to estimate 

atrazine use because the Census of Agriculture reports 

harvested crop acreage for the crops reported by DMRK, 

but not planted acres. Although, NASS reports planted and 

harvested crop acreage, fewer crops are reported and data 

are not reported for all counties. Finally, GIS coverages of 

CRD-county boundaries and TRS-county boundaries were 

used to (1) associate and disaggregate the AgroTrak CRD data 

to counties, and (2) link and aggregate the DPR–PUR TRS 

atrazine data to counties. The GIS coverage of CRDs was also 

used to produce a table that contained the spatial relationships 

of CRDs. Each of these data sets is described below.

Atrazine-Use Data

The proprietary DMRK database, AgroTrak, includes 

pesticide-use estimates for 447 active ingredients collected 

as part of annual surveys of more than 80 crops, including 

major field crops, some fruit and specialty crops, and other 

agricultural land use such as pasture and rangeland. These 

annual crop surveys are based on a statistical sample of 

commercial farm operations distributed throughout the 

geographic area surveyed, which is a CRD or group of CRDs 

(fig. 1). A survey was designed for each crop according to the 

geographic region and size of farm operation. DMRK uses 

data from the Census of Agriculture on the number and size of 

farm operations in each state to determine the sampling rate 

in a state and a CRD. Farm operations included in the survey 

are selected from lists of agricultural producers compiled by 

the USDA, agricultural associations, agricultural publications, 

previous survey participants, and other sources. The DMRK 

survey design allocates a higher proportion of the sample 

(farms to be surveyed) to larger farm operations in order to 

characterize a greater percentage of crop acres and increase 

Figure 1. Crop Reporting Districts (CRD), counties, and U.S. Department of Agriculture (USDA) Farm Production Regions.

EXPLANATION

Appalachian

Corn Belt

Delta States

Lake States

Mountain

Northeast

Northern Plains

Pacific

Southeast

Southern Plains

USDA Farm Production 

Regions

Crop Reporting District (CRD)

County

Boundaries
4﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

accuracy. To adjust and correct for possible bias in survey 

responses, a modified regression weighting method was used 

which calculates a weighting factor (on the basis of Census 

of Agriculture data on number and size of farm operations) 

for each response. This process ensures that the sum of 

survey responses when expanded to the survey area (the 

CRD and the state) agree with known crop acreage estimates 

from the Census of Agriculture or NASS (John Thompson, 

DMRKynetec, written commun., January 2009).

Prior to entering the survey data collected from farm 

operations into AgroTrak, the survey responses are reviewed 

by DMRK and verified for accuracy as part of a data 

quality check. Data checks include comparing each survey 

respondent’s report of crop application rates, timing, and 

method of application with the USEPA-approved pesticide 

application rates that are published in the USEPA’s Pesticide 

Product Label System (http://www.epa.gov/pesticides/

pestlabels/). Additional checks verify that the amount applied 

is accurately reported in the survey response by multiplying 

the reported planted acres by the reported crop application rate 

to verify if the calculated and reported mass are equal. Data 

are also compared with patterns of historical use, and when 

necessary, DMRK contacts the survey respondent to review 

and verify the data submitted. In some cases, outside industry 

consultants also review rates and the geographic patterns of 

use reported. 

Pesticide-use data collected by the California Department 

of Pesticide Regulation (DPR–PUR) (http://www.cdpr.ca.gov/

docs/pur/purmain.htm) was used instead of AgroTrak data 

to estimate pesticide use for California because the data are 

generally considered the most complete and accurate source 

of pesticide-use information for all areas of the State. DPR 

instituted a pesticide data collection program in 1990, which 

requires that all commercial pesticide applications be reported 

to the agricultural commissioner in the county where the 

pesticide was applied. For each pesticide applied to a crop, 

pesticide applicators are required to report the date and time 

of application, the number of planted and treated acres for 

the crop, the method and rate of application, and the location 

of use referenced to township, range and section (TRS). This 

information is entered into a county-level database 

which is uploaded and merged into the state electronic 

DPR–PUR database. 

Pesticide-use information from AgroTrak and DPR–PUR 

were used to estimate county-level atrazine use by crop from 

1992 to 2007. Data elements from AgroTrak reports used in 

this study included surveyed CRD reports on: (1) total pounds 

of atrazine applied on planted crop acres and (2) the number of 

planted crop acres. DPR–PUR data included information 

on the pounds of atrazine applied to individual crops by 

date and TRS. 

Harvested Crop Acreage

The method developed to estimate county atrazine use 

requires county crop acreage estimates for the crop categories 

included in the AgroTrak database in order to (1) calculate 

atrazine-application rates for each harvested crop and CRD 

surveyed, and (2) estimate county atrazine use for all crops in 

all counties in the conterminous United States where atrazine 

was likely used by applying the CRD crop application rate 

to county-level harvested crop acreage. Harvested crop 

acreage per county was obtained from two independent 

USDA sources: Census of Agriculture data from 1992, 1997, 

2002, and 2007 (http://www.agcensus.usda.gov/), and NASS 

for non-Census years (http://www.nass.usda.gov/Data_and_

Statistics/Quick_Stats/) (U.S. Department of Agriculture, 

National Agricultural Statistics Service, variously dated). 

The Census of Agriculture collects information every 

five years on land use and ownership, operator characteristics, 

production practices, income, and other farm-related topics 

for every farm, ranch and agricultural business that produces 

or sells $1,000 or more of agricultural products. The Census 

is the only source of uniform and comprehensive farm-related 

data for every county in the United States and is considered a 

reliable and consistent source of harvested crop acreage data 

for row crops, specialty crops, fruit and nut crops, fallow land, 

and pasture.

Although NASS reports acreage for many planted crops, 

NASS annual crop surveys are not a complete enumeration 

of farm operations as in the Census of Agriculture, but rather 

data are collected from a subset of farm operations selected 

on the basis of a statistically designed survey of major crop 

production states. NASS does not report crop acreage for all 

counties in the conterminous United States. NASS county 

data include estimates of planted and harvested acres for 

major field crops, including major grains, oilseeds, edible 

beans, sugar crops, cotton, and tobacco. Other crops for which 

data are collected include hay, potatoes, minor oil seeds, 

and fruit crops; the data are not collected directly through 

NASS surveys, but through cooperative programs with 

state departments of agriculture and land-grant universities. 

Although the list of crops that is included in annual NASS 

surveys is not as extensive as the Census of Agriculture, 

NASS surveys provide harvested crop acreage data for many 

of the crops needed to estimate atrazine use for non-Census 

years. Although for atrazine, as well as many other pesticides, 

planted crop acreage would probably be the preferred estimate 

of actual treated acreage, but the sole availability of harvested 

acreage data in the Census and the high correlation between 

planted and harvested acreage made it preferable to use 

harvested acreage as the basis of estimates.
Method for Estimating Atrazine Use 

5

Geospatial Data

A geographic information system (GIS) was used to 

develop a geospatial coverage of United States CRDs and 

associated counties so that pesticide-use data in AgroTrak 

reported by CRD could be spatially allocated to CRDs and 

counties. There are 304 CRDs in the conterminous United 

States (fig. 1). CRDs are similar to NASS Agricultural Statistic 

Districts (ASD). The geographic attributes used to define the 

CRDs include soil type, terrain, and elevation and climatic 

factors, such as mean temperature, annual precipitation, and 

length of growing season. All of these factors influence the 

types of crops grown and crop management practices. Most 

states are divided into nine CRDs; however, some states, such 

as Massachusetts and New Hampshire, contain only one CRD, 

while Texas contains 15 CRDs.

A geospatial vector dataset, hereinafter referred to as 

GIS coverage, of the 304 CRD boundaries was developed in 

a two step process. First, the CRD codes and related county 

Federal Information Processing Standard (FIPS) codes 

given in table 1 (all tables shown in back of report) were 

joined to a 1:100,000-scale GIS coverage of 2001-defined 

county boundaries that contained county FIPS codes (JoAnn 

Gronberg, written commun., June 2008). Next, a GIS function 

was used to dissolve or eliminate the county boundaries that 

were inside the CRD boundary. The GIS CRD coverage was 

used to generate a table that contained the spatial relationship 

between each of the 304 CRDs (primary) and its surrounding 

CRDs. Any CRD can be considered a primary or a Tier 1 or a 

Tier 2 CRD, depending on which CRD is central to the area of 

interest. For each primary CRD, two concentric rings of CRDs 

were identified using a GIS proximity mapping function. 

CRDs that touched the primary CRD were designated as Tier 1 

CRDs and CRDs that were outside but touching Tier 1 CRDs 

were designated as Tier 2 CRDs. Figure 2, for example, shows 

Primary CRD 20060 (Kansas CRD 60) and the Tier 1 and 2 

CRDs that are associated with it. Each of the 304 CRDs were 

considered primary CRDs and their associated Tier 1 and Tier 

2 CRDs were determined and were used to calculate atrazine 

crop application rates when AgroTrak data were not available 

for the CRD.

Method for Estimating Atrazine Use

Annual estimates of atrazine use on agricultural land in 

each county were developed using the best available pesticideuse information and crop data for each individual year, as 

determined by a hierarchy of decisions. This section describes 

the method used to develop atrazine crop application rates 

for DMRK surveyed and unsurveyed CRDs, develop countylevel harvested crop acreage for individual crops, and estimate 

annual atrazine-use by crop and county. The atrazine-use 

estimates derived using these methods are hereinafter referred 

to as EPest use estimates, while the crop application rates for 

harvested acres in surveyed and nonsurveyed CRDs that were 

developed following this method are hereinafter referred to 

as EPest rates. The method consists of six steps for counties 

in all states except for California. (Atrazine-use estimates for 

California were derived directly from DPR–PUR atrazine-use 

data and are described later in this report.)

1. Compile annual harvested crop acreage for each 

county from the Census of Agriculture and NASS 

for each of the crops for which AgroTrak reported 

atrazine use during 1992–2007.

2. Sum annual county harvested crop acreage by CRD 

to produce CRD harvested crop acreage totals.

3. Calculate annual atrazine application rates per 

harvested acre for each crop in a CRD by dividing 

the total mass of atrazine for a DMRK-surveyed 

CRD by the harvested crop acreage total (surveyedCRD EPest rate).

4. Estimate annual atrazine application rates per 

harvested acre for CRDs not surveyed by DMRK 

using rates from adjacent (Tier 1) CRDs (Tier 1 

EPest rate), when available, or from CRDs adjacent 

to Tier 1 CRDs (Tier 2) when Tier 1 data were 

incomplete (Tier 2 EPest rate).

5. Estimate regional median atrazine application rates 

per harvested acre for CRDs that were not surveyed 

by DMRK and that did not have a Tier 1 or Tier 

2 crop application rate on the basis of the crop 

application rates from a USDA Farm Production 

Region for a specific year or for all years (regional 

EPest rate).

Figure 2. Example of a Primary Crop Reporting District (CRD) and 

surrounding Tier 1 and Tier 2 CRDs.

AAXXXX_fig 01

Missouri

40

 Kansas 50

Kansas 40 Colorado 60

Kansas 30

Kansas 20

Kansas 60

Kansas 10

Colorado 90

Oklahoma 70

Kansas 90

Missouri 70

Kansas 70

Kansas 80

Oklahoma 40

Texas 11

Oklahoma 10

Oklahoma 20 Oklahoma 50 Oklahoma 80

New Mexico 30 Arkansas 10

EXPLANATION

Primary Crop Reporting District

Tier 1 Crop Reporting District

Tier 2 Crop Reporting District
6﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

6. Use the harvested acreages from step 1, the CRD 

crop acreage totals from (2), and application rates 

per harvested acre derived from steps 3, 4, or 5 to 

estimate atrazine use on agricultural land in each 

county for each year (EPest use).

Compilation of Annual Harvested Crop Acreages

for each County

Annual harvested crop acreages were compiled from 

Census of Agriculture and NASS data for 1992 through 2007. 

The AgroTrak database included atrazine-use estimates for one 

or more years for 1992 through 2007 for 58 crops; however, 

a subset consisting of 16 major and minor crops and four 

categories of agricultural land uses—including pastureland, 

summer fallow, lots and farmsteads, and land set aside for 

conservation reserve programs—were selected and used to 

develop the atrazine database. Some minor crops were not 

included in the atrazine database because the amount of 

acreage for some crops, such as roots and tubers and bulb 

crops, was small, and compared to the mass applied to the 

other crops selected, reported atrazine use on these minor 

crops was insignificant and DMRK estimates were available 

for only a few years. Atrazine-use estimates were developed 

for the crops and agricultural land uses listed in table 2.

For Census years, harvested crop acreage data from 

the 1992, 1997, 2002, and 2007 Census of Agriculture were 

compiled for these 16 crops and four agricultural land uses. 

For most crops, the harvested crop acreage for a single crop 

category was used to calculate the crop application rate. 

However, for some crops, such as sorghum, the Census 

reported four categories of sorghum: sorghum for grain, 

sorghum for silage, sorghum hogged or grazed, and sorghum 

for syrup. To insure that all crop acres were included when 

calculating the overall application rate for the crop, the 

acreage for the four sorghum categories was summed and used 

to calculate the atrazine-sorghum application rate and estimate 

county atrazine use on sorghum. Table 2 lists the Census of 

Agriculture items that were summed to compute harvested 

crop acreage.

For non-Census years, NASS harvested acreage estimates 

were compiled for 14 of the major crops included in the NASS 

county database. NASS county harvested acreage estimates 

do not necessarily match acreage reported in the Census of 

Agriculture for the same years because NASS county acreage 

is based on a sample of growers and statistically derived 

county totals, whereas the acreage reported in the Census of 

Agriculture is collected from a complete enumeration of all 

farms producing the crop. Table 2 lists the NASS crops for 

which data were retrieved and used to produce harvested crop 

acreage totals for 1993–1996, 1998–2001, and 2003–2006.

Annual harvested acreage for each crop in each county 

was estimated by combining data from the Census of 

Agriculture for Census years with annual NASS survey data 

for non-Census years. For some years, harvested acres for 

a crop and county were not reported in either the Census or 

NASS annual survey data, but these data sources reported 

acres for other years for that crop and county. Missing years 

of data could be due to nondisclosure rules that prohibit 

publication of data when there are too few reports for a county, 

or in the case of NASS, when not all the same crops or states 

are surveyed annually. When acreage was not reported for a 

crop and county for a specific year (or years), but was reported 

for that crop and county in another year, linear interpolation 

between reported years for that crop and county was used to 

estimate acreage. The method used to fill in missing county 

harvested acreage requires the assumption that harvested crop 

acreage estimates based on Census and NASS are comparable.

Following these procedures, county harvested crop 

acreages were estimated for each of the years 1992 through 

2007 for the crops listed in table 2. Annual CRD crop 

harvested acreage totals were calculated by summing the crop 

acreage for the counties (table 1) within each CRD.

Calculation of Atrazine Application Rates for

Crops in CRDs Surveyed by DMRK: SurveyedCRD EPest Rates

CRD crop application rates contained in AgroTrak 

were not used to estimate county atrazine use because these 

rates were developed using planted acreage. If applied to 

harvested crop acreage, these planted-acreage rates would, in 

most cases, produce total CRD use estimates that are lower 

than total atrazine use estimates reported in AgroTrak. This 

underestimation occurs because harvested acreage is typically 

less than planted acreage. One objective in developing the 

county atrazine-use database was to ensure that atrazine 

estimates developed using this method preserved the reported 

AgroTrak total mass for surveyed CRDs. Therefore, a new 

EPest rate was developed by dividing the surveyed mass of 

atrazine applied to the CRD by the harvested crop acreage 

estimate for the CRD to yield an atrazine application rate per 

harvested acre. 

For each year, a new CRD crop application rate was 

calculated using harvested crop acreage. In some cases, the 

new rate was unrealistically high when compared to surveyed 

rates and atrazine label rates because the harvested acreage 

was substantially less than the planted acreage. To compensate 

for the difference in planted and harvested acreage, an 

adjustment factor was developed that effectively increased 

the harvested acreage in the CRD to equal the planted acreage 

reported in AgroTrak. Specifically, a county-CRD weighting 

factor by crop and year was calculated by determining the 

percentage of acreage for individual crops that each county 

contributed to the CRD’s total acreage for that crop. When the 

sum of the harvested crop acreage totals for the counties in 

the CRD was less than the AgroTrak reported planted acreage, 

the weighting factor was applied to adjust the harvested crop 

acreage to the planted acreage total to apportion revised 

acreage values to the counties that are within the CRD. 
Application of California DPR–PUR Data﻿ ﻿ 7

The new CRD crop application rate (EPest rate) was then 

calculated by dividing the AgroTrak report of total pounds of 

atrazine applied to a crop in a CRD by the revised crop acres 

in the CRD.

The new surveyed-CRD EPest rates were applied to the 

crop acreage estimates for the counties within each CRD. 

This produced county use estimates for all counties and years 

within surveyed CRDs that had reported atrazine use in the 

AgroTrak database. However, some CRDs may not have been 

surveyed by DMRK for a particular year or combination of 

years, even though atrazine may have been used within those 

CRDs, thus indirect estimates were required for these CRDs. 

Estimation of Atrazine Crop Application

Rates for Unsurveyed CRDs: Tier 1,

Tier 2, and Regional EPest Rates

A primary objective of this study was to produce 

estimates of atrazine use on all reported crop acreage in 

the conterminous United States that likely had applications 

of atrazine. The AgroTrak database had atrazine survey 

estimates for as many as 295 of the 304 CRDs contained in the 

conterminous United States, but not all of these CRDs were 

surveyed every year between 1992 and 2007, nor was every 

crop surveyed during this period.

To obtain an EPest rate for the crops in a CRD not 

surveyed in a given year or years, a hierarchy of decision rules 

was developed to determine how the rate would be calculated. 

For a specific year and crop, the decision rules were stepped 

through as described below and shown in figure 3. 

First, it was determined if an EPest rate(s) for a CRD not 

surveyed during a particular year could be calculated on the 

basis of EPest rates for that same year from adjacent surveyed 

CRDs. The proximity table (described in table 1) includes a 

list of Tier 1 and Tier 2 CRDs that surrounded the unsurveyed 

primary CRD (the primary CRD is the CRD for which an 

EPest rate is to be derived). This list of Tier 1 and Tier 2 CRDs 

was used to search for surveyed-CRD EPest rate(s) which 

could be used to estimate atrazine use for this primary CRD. 

If a surveyed-CRD EPest rate existed in one or more of the 

Tier 1 CRDs, then the primary CRD adopted the median value 

of the Tier 1 surveyed-CRD rates (Tier 1 EPest rate). If there 

were no surveyed-CRD EPest rates for Tier 1 CRD rates, then 

surveyed-CRD EPest rates from a minimum of three Tier 2 

CRDs were required to calculate the Tier 2 EPest rate as the 

median of qualifying CRDs. 

If no Tier 1 or Tier 2 EPest rates were available, but the 

primary CRD had been surveyed at least once during 1992 

through 2007, a regional EPest rate was estimated. To develop 

regional EPest rates, each CRD was associated with one of 

the 10 USDA Farm Production Regions (fig. 1), which are 

areas that have generally similar conditions affecting crop 

management, including economics, soils, and climate (U.S. 

Department of Agriculture, 1998). A regional EPest rate for a 

particular year and CRD was calculated as the median of the 

surveyed-CRD, Tier 1, and Tier 2 EPest rates from all of the 

CRDs in the Farm Production Region. Lastly, if a regional 

EPest rate could not be calculated for the particular year from 

Tier 1 or Tier 2 surveyed rates for that year, but the CRD had 

been surveyed at some point in time, surveyed-CRD, Tier 1, 

and Tier 2 rates from the entire period 1992–2007 were used 

to calculate a regional EPest rate (median of all CRD values), 

which was assigned to that CRD.

Application of California DPR–PUR

Data

California PUR data were obtained from DPR 

(Department of Pesticide Regulation, 2009) for 1992 through 

2007 to estimate county atrazine use for California. Table 3

contains a list of the 41 crops that were reported in the DPR–

PUR database for one or more years and the 16 crops, reported 

by AgroTrak for California. Although both DPR–PUR and 

AgroTrak include estimates for some of the same crops, DPR–

PUR included atrazine data for specialty crop categories not 

included in AgroTrak, such as strawberries, sod, tomatoes, 

olives, nurseries, and Bermuda grass. 

Annual county estimates of atrazine use on individual 

crops were compiled from DPR–PUR data through a three 

step process: (1) summing the individual atrazine applications 

per crop to produce atrazine annual totals for each crop and 

TRS, (2) summing the atrazine annual totals for all crops in 

each TRS, and (3) finally summing the total atrazine use for 

all TRS in each county to produce the total atrazine use by 

county. 
8﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Figure 3. Summary of the decision process followed to estimate EPest rates and EPest use for unsurveyed Crop Reporting Districts 

(CRD). DMRK, Doane Marketing Research-Kynetec.

IP-014194_fig 03

 

 

Are there one or more DMRK 

surveyed rates for the crop from 

Tier 1 CRDs for the same year?

Calculate the median EPest rate 

for the crop and year on the 

basis of DMRK surveyed Tier 2 

CRDS

Calculate the median EPest 

rate for the crop and year on 

the basis of DMRK surveyed 

Tier 1 CRDS

Estimate county atrazine use 

on the basis of the calculated 

Tier 1 median EPest rate and 

county harvested crop acreage

Estimate county atrazine use 

on the basis of the calculated 

Tier 2 median EPest rate and 

county harvested crop acreage

Estimate county atrazine use 

on the basis of the calculated 

median regional EPest rate and 

county harvested crop acreage

Calculate the median EPest 

rate for the crop and year on 

the basis of DMRK surveyed 

Tier 1 or Tier 2 CRDs in the U.S. 

Department of Agriculture 

Farm Production Region

Calculate the median EPest 

rate for the crop on the basis of 

DMRK surveyed Tier 1 or Tier 2 

CRDs in the U.S. Department of 

Agriculture Farm Production 

Region for any year(s) between 

1992 and 2007

Are there one or more DMRK 

surveyed rates for the crop from 

Tier 1 or Tier 2 CRDs for the same 

year for CRDs in the Farm 

Production Region?

Are there three or more DMRK 

surveyed rates for the crop from 

Tier 2 CRDs for the same year?

YES

NO

YES

NO

YES

NO

YES

NO

Are there one or more DMRK 

surveyed rates for the crop from 

Tier 1 or Tier 2 CRDs in the Farm 

Production Region for one or more 

years between 1992 and 2007

No county atrazine use estimated
Results and Discussion﻿ ﻿ 9

Results and Discussion

The atrazine-use database produced from the methods 

described above includes county-level estimates of the mass 

of atrazine applied to agricultural crops from 1992 through 

2007. Annual county estimates of atrazine used on as many as 

16 major and minor crops and four agricultural land uses were 

made for as many as 2,966 counties in one or more years for 

1992 through 2007 (fig. 3). Estimates for some crops are not 

available for every state or year, and estimates for some crops, 

such as avocados, strawberries, and walnuts, were reported by 

DPR–PUR and are available for California only. Atrazine-use 

estimates for individual crops were totaled for each county and 

year and are available from http://water.usgs.gov/nawqa/pnsp/

data/atrazine_use_1992_2007.dat

 The total amount of atrazine used annually in the 

conterminous United States fluctuated between a low of 

about 66 million pounds in 2006 to a high of about 82 million 

pounds reported in 1996 (fig. 4). Some of the fluctuation may 

be related to changes in AgroTrak survey methods over time, 

in addition to changes in crop acres harvested or application 

rates. Between 1992 and 1997, DMRK collected data on all 

crops that were part of a farm operation, but in 1998, DMRK 

began to survey and collect data for major crops and selected 

specialty crops across all states so that data for several minor 

crops were no longer collected. Then in 2005, DMRK further 

modified their survey design so that major crops and specialty 

crops were surveyed only in those states that accounted for 

80 percent of the national crop acreage as determined from 

USDA acreage estimates from the previous year. However, 

for some specialty crops, additional states were surveyed so 

that more than 80 percent of some specialty crop acres were 

surveyed.

Figure 4 shows the annual proportional distribution of 

atrazine use on corn, sorghum, sugar cane, and other crops. 

The first three are major row crops for which atrazine is 

most heavily used to control weeds; “other crops” includes 

fallow, pasture, hay, wheat, and other minor crops. More than 

80 percent of the estimated atrazine use was on corn, followed 

by sorghum, which accounted for about 7 to 10 percent of use, 

and sugar cane, which accounted for between 1 and 3 percent 

of atrazine use in the conterminous United States. Atrazine use 

on other crops accounted for between 1 and 3 percent of total 

annual use. 

Between 96 and 99 percent of the estimated atrazine used 

on all crops in the conterminous United States each year was 

accounted for by EPest rates derived from surveyed CRDs 

(fig. 5A). Regional EPest-rates calculated across the 16-year 

period (1992–2007) added approximately 1 to 2 percent to the 

national total in any given year, and Tier 1 EPest rates added 

1 percent or less to the annual national total in most years. 

Tier 2 EPest rates contributed the least to the national total in 

any year and California DPR–PUR added a small fraction of 

a percent, or about 22 to 40 thousand pounds annually to the 

national total. Most estimates of atrazine used on the major 

crops corn, sorghum, and sugar cane between 1992 and 2005 

were based on surveyed rates; less than 1 percent was derived 

using EPest rates (fig. 5B). However, in 2006 and 2007, 

about 1 percent of atrazine use was estimated using Tier 1 or 

regional EPest rates for a specific year. Extrapolation methods 

were used more frequently to estimate use on minor crops 

with 26–63 percent of atrazine use on these crops estimated 

using Tier 1, Tier 2, or regional EPest rates (fig. 5C). EPest 

rates for surveyed CRDs were not available for many of the 

minor crops because most of these crops were not surveyed 

every year, and some CRDs or crops were surveyed only once 

during the 16 year period. Of the extrapolation methods used, 

regional EPest rates calculated from the data for the 16 year 

period contributed the greatest amount to estimates of atrazine 

use on minor crops. 

Figure 4. National use of atrazine on major crops and other 

crops, 1992–2007.

IP_014194_fig 04

90,000,000

80,000,000

70,000,000

60,000,000

50,000,000

40,000,000

30,000,000

20,000,000

ESTIMATED ATRAZINE USE, IN POUNDS PER YEAR

10,000,000

0

YEAR

1992199319941995199619971998199920002001200220032004200520062007

Corn

Sorghum

Sugar cane

Other crops

Pounds of atrazine applied by crop 
10﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

National patterns of atrazine-use intensity and the 

percentage of total county atrazine use derived from Tier 1, 

Tier 2, or regional EPest rates are shown for 1992–2007 in 

figure 6. Atrazine-use intensity expressed as an annual average 

rate of atrazine use in a county was calculated by dividing the 

total mass of atrazine applied in each county by the square 

miles of land in the county. A frequency distribution of county 

atrazine-use intensity was used to divide the atrazine-use 

intensity data into five classes (quintiles) so that each class 

represented 20 percent of the use-intensity values. These 

five classes were then used to show atrazine-use intensity 

on agricultural land in each county as determined from a 

2001 version of the National Land Cover Dataset (NLCD) 

(figure 6). To facilitate comparisons of use patterns across all 

geographic regions and years, use-intensity intervals shown 

in figure 6 were based on atrazine use for 1998—the year 

that had the maximum amount of atrazine used nationally. As 

these maps show, the greatest concentration of atrazine-use 

was in the areas where corn and sorghum were the primary 

crops, including the Corn Belt, parts of the Northeast, the 

Mid-Atlantic States, and the Texas-New Mexico area. Outside 

of these areas, atrazine use was also estimated for one or more 

counties in each state throughout the 16-year period, but the 

estimates were much lower. Using Tier 1, 2, and regional 

EPest rates increased the percentage of counties outside 

the Corn Belt for which atrazine use could be estimated; 

80 percent or more of estimates for counties in some 

western states were derived from Tier 1, Tier 2 and regional 

EPest rates. 

Figure 5. Contribution of atrazine use by estimation method (A) 

on all crops, (B) on corn, sorghum, and sugar cane, and (C) on 

minor crops, 1992–2007.

IP_014194_fig 05

YEAR

95

96

97

98

99

100

1992199319941995199619971998199920002001200220032004200520062007

CONTRIBUTION TO ATRAZINE-USE ESTIMATE, AS PERCENT OF NATIONAL

99

98

97

100

40

50

60

70

80

90

100

A. All crops

B. Corn, sorghum, and sugar cane

C. Minor crops

California DPR-PUR reports (1992–2007)

Median regional EPest rate (1992–2007)

Median regional EPest rate for a 

 specific year

Tier 2 EPest rate

Tier1 EPest rate

EPest rate for surveyed CRD

Type of rate estimate
Results and Discussion﻿ ﻿ 11

Figure 6. Distribution of atrazine use and the proportion estimated using an unsurveyed Crop Reporting District (CRD) rate, 1992–2007.

Distribution of use in non-surveyed CRDs

(1.04 percent of national total)

Total use: 79,217,945 pounds

1994

Distribution of use in non-surveyed CRDs

(0.86 percent of national total)

Total use: 80,774,073 pounds

1992

Distribution of use in non-surveyed CRDs

(1.17 percent of national total)

Total use: 70,898,659 pounds

1993

>0–0.13

>0.13–0.84 

>0.84–3.3 

>3.3–10

>10

1–20

21–40

41–60

61–80

>80

Proportion of atrazine use estimated using Tier 1, 2 or

regional median rates, as percentage of county total 

Estimated use intensity, in pounds per 

square mile per year. Quintiles were 

calculated on the basis of 1998 atrazine use.

EXPLANATION
12﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Figure 6. Continued.

Distribution of use in non-surveyed CRDs

(0.98 percent of national total)

Total use: 77,637,252 pounds

1997

Distribution of use in non-surveyed CRDs

(1.21 percent of national total)

Total use: 69,471,038 pounds

1995

Distribution of use in non-surveyed CRDs

(0.89 percent of national total)

Total use: 81,974,543 pounds

1996

>0–0.13

>0.13–0.84 

>0.84–3.3 

>3.3–10

>10

1–20

21–40

41–60

61–80

>80

Proportion of atrazine use estimated using Tier 1, 2 or

regional median rates, as percentage of county total 

Estimated use intensity, in pounds per 

square mile per year. Quintiles were 

calculated on the basis of 1998 atrazine use.

EXPLANATION
Results and Discussion﻿ ﻿ 13

Figure 6. Continued.

Distribution of use in non-surveyed CRDs

(1.30 percent of national total)

Total use: 79,895,462 pounds

2000

Total use: 80,239,436 pounds

1998

Distribution of use in non-surveyed CRDs

(1.24 percent of national total)

Distribution of use in non-surveyed CRDs

(1.32 percent of national total)

Total use: 76,335,597 pounds

1999

>0–0.13

>0.13–0.84 

>0.84–3.3 

>3.3–10

>10

1–20

21–40

41–60

61–80

>80

Proportion of atrazine use estimated using Tier 1, 2 or

regional median rates, as percentage of county total 

Estimated use intensity, in pounds per 

square mile per year. Quintiles were 

calculated on the basis of 1998 atrazine use.

EXPLANATION
14﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Figure 6. Continued.

Total use: 79,362,390 pounds

2001

Distribution of use in non-surveyed CRDs

(1.37 percent of national total)

Distribution of use in non-surveyed CRDs

(1.37 percent of national total)

Total use: 79,362,390 pounds

2002

Distribution of use in non-surveyed CRDs

(1.54 percent of national total)

Total use: 78,469,933 pounds

2003

>0–0.13

>0.13–0.84 

>0.84–3.3 

>3.3–10

>10

1–20

21–40

41–60

61–80

>80

Proportion of atrazine use estimated using Tier 1, 2 or

regional median rates, as percentage of county total 

Estimated use intensity, in pounds per 

square mile per year. Quintiles were 

calculated on the basis of 1998 atrazine use.

EXPLANATION
Results and Discussion﻿ ﻿ 15

Figure 6. Continued.

Total use: 75,600,508 pounds

2004

Distribution of use in non-surveyed CRDs

(2.66 percent of national total)

Distribution of use in non-surveyed CRDs

(1.69 percent of national total)

Total use: 73,378,825 pounds

2005

>0–0.13

>0.13–0.84 

>0.84–3.3 

>3.3–10

>10

1–20

21–40

41–60

61–80

>80

Proportion of atrazine use estimated using Tier 1, 2 or

regional median rates, as percentage of county total 

Estimated use intensity, in pounds per 

square mile per year. Quintiles were 

calculated on the basis of 1998 atrazine use.

EXPLANATION
16﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Figure 6. Continued.

Distribution of use in non-surveyed CRDs

(3.75 percent of national total)

Total use: 66,775,230 pounds

2006

Distribution of use in non-surveyed CRDs

(2.73 percent of national total)

Total use: 76,891,310 pounds

2007

>0–0.13

>0.13–0.84 

>0.84–3.3 

>3.3–10

>10

1–20

21–40

41–60

61–80

>80

Proportion of atrazine use estimated using Tier 1, 2 or

regional median rates, as percentage of county total 

Estimated use intensity, in pounds per 

square mile per year. Quintiles were 

calculated on the basis of 1998 atrazine use.

EXPLANATION
Results and Discussion﻿ ﻿ 17

The national maps show broad patterns of atrazine 

use, but do not show differences in use patterns among 

the crops. The regional patterns in the intensity of atrazine 

use on corn and the source application rate that was used 

to estimate county-level atrazine use in 1992, 1997, 2002, 

and 2007 are shown in figure 7. Within the areas of primary 

corn cultivation, EPest rates were used almost exclusively. 

Tier 1, Tier 2, or regional EPest rates were used in areas 

that have a smaller proportion of the nation’s corn acreage 

and consequently where AgroTrak had fewer crop surveys. 

Nationally, the mass derived from Tier 1, Tier 2, or regional 

EPest rates accounted for 1 percent or less of the total use on 

corn in CRDs not surveyed. However, these rates contributed 

more than 80 percent of the atrazine total for corn in some 

states. For example, an EPest rate for corn existed for only 

one CRD in Nevada in 2001, but atrazine use on corn was 

estimated in one or more counties every year from 1992 to 

2007 on the basis of Tier 1, Tier 2, or regional EPest rates 

for adjacent areas or years. Similarly, for some years, EPest 

rates for atrazine on corn were available for only one or two 

surveyed CRDs in Arizona, Idaho, Montana, Connecticut, 

Vermont, and Massachusetts, but Tier 1, Tier 2, or regional 

EPest rates could be calculated and used to estimate atrazine 

use in all counties in the state that reported corn acreage. The 

use of Tier 1, Tier 2, or regional EPest rates from another year 

or multiple years assumes that atrazine application rates are 

fairly consistent within a localized region. 

Comparing the maps of atrazine-use intensity for corn 

from 1992 to 2007 illustrates the effect of changes in DMRK 

survey methods (fig.7). As mentioned earlier, the survey 

method was modified in 2005 for major crops and follows 

an 80–20 rule that targets geographic areas that account for 

80 percent of the nation’s crop acres and from within these 

areas 15 to 20 percent of the corn acres are surveyed. The 

survey results were then expanded to represent the total acres 

and management practices within a CRD. Implementing the 

80–20 rule resulted in eliminating some states from the corn 

survey that had previously been surveyed, such as Arizona, 

Florida, and Maine. Unless a Tier 1, Tier 2, or regional rate 

for the specific year or a regional rate from a different year 

is available, atrazine use on corn will not be accounted for in 

such states after 2004. If in a future year corn acreage in the 

state increases enough to account for 80 percent of national 

corn acreage, the state can be added back into the AgroTrak 

survey of corn.

Atrazine use for sorghum production ranked second 

and equaled about 10 percent of the total atrazine applied 

to corn. Sorghum is drought tolerant and is not managed 

as intensively as corn. Most sorghum acreage is located in 

the High Plains and the Lower Mississippi area where the 

majority of AgroTrak sorghum surveys were conducted. 

Sorghum is also grown in several other regions of the country, 

including the Mid-Atlantic States. Fewer AgroTrak surveys 

were done within the Mid-Atlantic States; therefore half of 

the atrazine use estimated in this region was based on Tier 1, 

Tier 2, or regional EPest rates. Beginning in 2001, sorghum 

acreage decreased in the Mid-Atlantic States and consequently 

fewer AgroTrak surveys were conducted there, so that a larger 

proportion of atrazine use on sorghum was calculated using 

EPest rates for unsurveyed CRDs. By 2005, the Mid-Atlantic 

States were dropped from sorghum surveys because sorghum 

acreage in these states did not meet the 80-percent criterion 

for crop acreage. Because crop acreage is one of the major 

criteria used to allocate AgroTrak crop surveys, changes in 

crop acreage determine which regions and states are included 

in a crop survey. In addition, if no Tier 1, Tier 2, or regional 

EPest rates are available from adjacent states or from other 

years for a specific crop, atrazine use for that crop cannot be 

estimated even though the Census or NASS reported crop 

acreage and atrazine may have been applied. The 80-percent 

rule guarantees that some portion of the crop acreage in 

primary production areas will be surveyed, but if the crop is 

grown outside of the radius of Tiers 1 and 2, or if a CRD has 

never been surveyed and therefore does not have a rate, then 

pesticide use for that crop will not be accounted for using the 

method developed to estimate county-level pesticide use.

The amount of atrazine applied to sugar cane is third 

highest among the agricultural crops treated with atrazine. 

AgroTrak reported atrazine use on sugar cane in four states: 

Florida, Georgia, Louisiana, and Texas. Using DMRK 

surveyed CRD atrazine-use estimates for sugar cane and 

harvested crop acreage from the Census and NASS, atrazine 

application rates for sugar cane were calculated for only 3 

of 4 states reported by AgroTrak because county-level sugar 

cane acreage was not published for Georgia. Some specialty 

crops, such as sugar cane, may be grown on only a few farms 

in a county, making it possible to connect a specific farm 

operation with reported crop acreage. The harvested acres may 

represent a large portion of the total acres grown for the crop 

in the CRD, but the harvested acreage may not be reported 

for some counties and years because of USDA nondisclosure 

rules that are designed to protect information about individual 

growers. The potential effect of unreported or nondisclosed 

county crop acreage is two-fold. First, crop application rates 

may be unrealistically high if the acreage used to calculate the 

rate is too low compared to the surveyed acres that AgroTrak 

estimated or second, as in the case of Georgia, atrazine use for 

a state or CRD may not be estimated even though AgroTrak 

reports atrazine use for the specific crop. Our method takes 

into account the first condition—that of under-reported crop 

acreage—by adjusting the county harvested acreage used to 

calculate the rate based on AgroTrak surveyed CRD acreage. 

If acreage for a crop is not reported at all, however, there is no 

way to make this adjustment and atrazine use for the crop will 

not be estimated. 
18﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Figure 7. Distribution of atrazine use on corn and estimates derived from an unsurveyed Crop Reporting District (CRD) rate,1992–2007.

1992 1993

1994 1995

>0–4

>4–24

>24–59

>59–167

>167

>Tier 1 or 2 or EPest rate

Estimated atrazine use intensity on corn,

in pounds per square mile per year. Quintiles

were calculated on the basis of 2007 atrazine 

use on corn.

EXPLANATION
Results and Discussion﻿ ﻿ 19

Figure 7. Continued.

1996 1997

1998 1999

>0–4

>4–24

>24–59

>59–167

>167

>Tier 1 or 2 or EPest rate

Estimated atrazine use intensity on corn,

in pounds per square mile per year. Quintiles

were calculated on the basis of 2007 atrazine 

use on corn.

EXPLANATION
20﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

>0–4

>4–24

>24–59

>59–167

>167

>Tier 1 or 2 or EPest rate

Estimated atrazine use intensity on corn,

in pounds per square mile per year. Quintiles

were calculated on the basis of 2007 atrazine

use on corn. 

EXPLANATION

2000 2001

2002 2003

Figure 7. Continued.
Results and Discussion﻿ ﻿ 21

Figure 7. Continued.

2004 2005

2006 2007

>0–4

>4–24

>24–59

>59–167

>167

>Tier 1 or 2 or EPest rate

Estimated atrazine use intensity on corn,

in pounds per square mile per year. Quintiles

were calculated on the basis of 2007 atrazine 

use on corn.

EXPLANATION
22﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

As these examples illustrate, the atrazine-use estimation 

method developed for this study is dependent on county-level 

harvested crop acreage reported by the USDA sources, Census 

or NASS, to calculate a crop application rate and allocate 

the pesticide mass applied to crop acres in a county reported 

in AgroTrak. If county harvested acreage is not disclosed 

by the USDA, the crop application rate calculated may be 

unrealistically high or AgroTrak pesticide-use reports for a 

crop cannot be allocated to crop acreage in the county. In order 

to minimize the effect of unreported crop acreage, county 

crop acres were estimated for some years by interpolating 

crop acreage for a missing year by using reported crop 

acres from other years. The acreage interpolation method 

accounted for 70 to 79 percent of the acres used to estimate 

atrazine use in non-Census years and accounted for 4 to 9 

percent in Census years (fig. 8). Crops not reported in the 

NASS county database, such as pasture and summer fallow, 

accounted for the largest proportion of total acres derived 

from the interpolation method used for non-Census years. 

For example, summer fallow acreage during non-Census 

years was derived solely from interpolating county acreage 

for Census years. Likewise, as much as 42 percent of the 

corn acreage and as much as 82 percent of sorghum acreage 

was interpolated because NASS does not report acreage for 

all sorghum categories. For example, total sorghum acreage 

used to develop crop application rates included acreage for all 

categories of sorghum reported by the Census of Agriculture 

including sorghum for grain, silage, and syrup; however, 

Figure 8. Percentage of atrazine use and acreage estimates 

derived from interpolated crop acreage, 1992–2007.

because NASS reports only sorghum for grain acreage, in nonCensus years acreage for these subcategories was based on 

interpolation of Census acres and added to the NASS 

sorghum acres.

The acreage interpolation method added a much larger 

portion of the acres for non-Census years than for the Census 

years (fig. 8). To determine if there was a systematic difference 

between the Census and NASS, 1992, 1997, 2002, and 

2007 county harvested acreage estimates from these sources 

were compared (fig. 9). Corn for grain was selected for this 

comparison because about 70 percent of all atrazine is applied 

to corn acreage and if corn acreage is significantly under 

or over estimated for a given year, the atrazine application 

rates for corn will be affected as will the atrazine estimate 

for the counties. The graphs in figure 9 indicate that county 

estimates of harvested corn acreage from the two USDA 

sources are about the same, although there is somewhat more 

variability in 2007 estimates, particularly for some counties 

with a large amount of corn acreage. Corn acreage in about 

300 counties reported in the Census was not reported by 

NASS, and conversely, NASS reported acreage for about a 

dozen counties not reported by the Census. County acreage 

of corn for grain was not reported by NASS in 1997 or 2002 

for Connecticut, Maine, Massachusetts, New Hampshire, and 

Vermont; the crop acreage in these states from Census years 

was interpolated to fill in acreage for the counties not reported 

by NASS.

10

0

20

30

40

50

60

70

80

90

INTERPOLATED ACRES AND POUNDS, AS PERCENT OF NATIONAL

YEAR

1992199319941995199619971998199920002001200220032004200520062007

Pounds

Acres
Results and Discussion﻿ ﻿ 23

Figure 9. Comparison of Census of Agriculture and National Agriculture Statistics Service (NASS) estimates of corn acreage in a 

county for 1992, 1997, 2002, and 2007.

IP-014194_fig 09

2002 2007

Census of Agriculture acres

NASS ACRES

NASS ACRES NASS ACRES

1992

150,000250,000350,000450,000

50,000

0

100,000200,000300,000400,000

Census of Agriculture acres 150,000 250,000

350,000450,000

50,000

100,000200,000300,000400,000

0

Census of Agriculture acres 150,000 250,000

350,000450,000

50,000

0

100,000200,000300,000400,000

Census of Agriculture acres 150,000 250,000

350,000450,000

50,000

0

100,000200,000300,000400,000

100,000

150,000

50,000

0

200,000

250,000

300,000

350,000

400,000

450,000

NASS ACRES

100,000

150,000

50,000

200,000

250,000

300,000

350,000

400,000

450,000

0

100,000

150,000

50,000

0

200,000

250,000

300,000

350,000

400,000

450,000

100,000

150,000

50,000

0

200,000

250,000

300,000

350,000

400,000

450,000

1997

Best fit regression line, 

R2

 = 0.99

NASS = 1.03 Census of 

Agriculture-2,010

NASS = Census of 

Agriculture

Best fit regression line, 

R2

 = 0.99

NASS = 1.05 Census of 

Agriculture-1,761

Best fit regression line, 

R2

 = 0.98

NASS = 1.01 Census of 

Agriculture-3,459

Best fit regression line, 

R2

 = 0.99

NASS = 1.03 Census of 

Agriculture-2,379

NASS = Census of 

Agriculture

NASS = Census of 

Agriculture

NASS = Census of 

Agriculture
24    Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Because of the NASS rotational survey method, the NASS-CU 

values for each year are not intended to be national totals and 

it is expected that the NASS-CU total would be lower than the 

other sources compared. In addition, atrazine estimates could 

not be compared for every year because, at the time of this 

report, NASS-CU national estimates were not available for 

2005 and 2007. 

Comparison of State Use Estimates

EPest estimates were also compared with state-level 

estimates from NASS-CU and NPUD. In addition to showing 

variability of estimates at this smaller scale, this approach 

allowed direct comparison with NASS-CU estimates for 

specific states and years surveyed. EPest state estimates for 

atrazine use on corn were compared with state estimates from 

(1) NASS-CU and NPUD data for Census years 1992, 1997, 

and 2007; and (2) NASS-CU data for non-Census years. This 

comparison focused on atrazine use on corn because of the 

Figure 10. National atrazine-use estimates for agricultural

purposes, 1992–2007. Data from EPest, Doane Marketing

Research-Kynetec (DMRK), National Agriculture Statistics

Service Chemical Use (NASS-CU), National Pesticide Use

Database (NPUD), and U.S. Environmental Protection Agency

(USEPA) ..

Comparison of EPest-Use Estimates with

Estimates from Other Sources

Atrazine-use estimates produced by the method described 

in this report were compared with data from other available 

sources in order to evaluate the reasonableness of the 

EPest-use estimates. Data were collected from: (1) USDA’s 

Agricultural Resource Management Survey (ARMS) and 

published in the NASS Chemical Use Database at (http://

www.pestmanagement.info/nass/app_usage.cfm), (2) countylevel estimates developed by Thelin and Gianessi (2000) using 

NPUD state data, and (3) USEPA estimates for atrazine use in 

the agricultural market sector (Kiely and others, 2004). 

Since 1991, ARMS has collected information on 

agricultural practices, including chemical and fertilizer use, 

through annual statistical surveys of major field crops and 

fruit, nut, and vegetable crops. NASS does not survey the 

same states or crops every year, but instead rotates crops and 

states in and out of the survey on the basis of a number of 

criteria, including the proportion of national acreage the state 

represents and the geography represented. The survey is based 

on a statistical sample of all farm and ranch operations in the 

conterminous 48 states that have an annual income of $1,000 

or more and is conducted by personal interview. The resulting 

data are publicly available and are an important benchmark to 

compare against. Hereinafter, data from the USDA Chemical 

Use Database will be referred to as NASS-CU. 

NPUD atrazine estimates were produced by applying 

NPUD state chemical application rates to county harvested 

crop acreage and adding the county estimates for each 

conterminous state and then summing the state totals to 

produce a total for the conterminous United States. USEPA 

estimates of atrazine use were compiled from a variety of 

public and proprietary information sources and are reported 

as low to high ranges of pounds used in the agricultural sector.

Comparison of National Use Estimates

Annual national atrazine-use estimates for agriculture 

from the EPest county database, AgroTrak, NPUD, and 

USEPA are compared in figure 10. National totals compared 

were derived for EPest and NPUD by summing the county 

estimates, NASS-CU annual estimates were published as the 

total pounds per year for ‘All Program States’; and the USEPA 

estimates were reported as a low to high range of atrazine 

pounds. EPest national totals were higher than NPUD totals 

by about 14 percent in 1992, 4 percent in 1997, and 3 percent 

in 2002. EPest totals and USEPA estimates were compared for 

11 years and EPest estimates were about in the middle of the 

low and high range of atrazine estimates reported by USEPA 

except in 2003, when the EPest total was about 3 percent 

higher than the USEPA high estimate. The NASS-CU national 

totals represent only the amount of atrazine used on the crops 

and states surveyed in a specific year, so these totals cannot be 

compared to the total atrazine use estimated by other methods. 

NATIONAL ATRAZINE USE, IN MILLION POUNDS PER YEAR

YEAR

1992199319941995199619971998199920002001200220032004200520062007

NASS-CU (Program States only)

EPest

DMRK

NPUD

USEPA low

USEPA high

10

0

20

30

40

50

60

70

80

90
Results and Discussion﻿ ﻿ 25

limited availability of NASS-CU data for atrazine use in all 

states and on all the crops surveyed by DMRK and included in 

the county database. EPest and NPUD annual state totals were 

derived by summing county-level atrazine estimates for corn 

to the state-level and NASS-CU state totals that were retrieved 

from http://www.pestmanagement.info/nass/app-usage.cfm. 

The state comparisons for Census years were based on NPUD 

data for 48 states in 1992 and 1997 and 47 states in 2002 

and on published NASS-CU state data for 17 states in 1992, 

10 states in 1997, and 7 states in 2002. 

 The state-by-state comparisons for Census years show 

good agreement between EPest estimates and both NPUD 

(fig. 11A) and NASS (fig. 11B), although EPest state totals 

tend to be slightly greater. The NPUD and EPest estimates 

were highly correlated (R2 = 0.99) with a slope close to 

1 (y = 0.97x – 45,829). NASS-CU and EPest estimates had a 

similar correlation (R2 = 0.98), but a lower slope (y = 0.89x 

+ 42,377), indicating the tendency of EPest estimates to be 

higher than NASS-CU estimates for most states. There were 

some states, such as Nevada, New Hampshire, and Montana, 

for which NPUD estimates were higher for corn than EPest 

estimates, and in many of these cases, EPest estimates for 

these states were based on unsurveyed rates. NASS-CU and 

EPest state comparisons for Census years also showed that 

EPest atrazine totals tended to be greater than NASS-CU 

totals for most of the years compared, including estimates for 

major corn producing states, such as Indiana and Iowa, which 

differed by about 15 percent. However, three states (Michigan, 

North Dakota, and South Dakota) had NASS-CU atrazine 

estimates that were 10 percent or more greater than the EPest 

estimate. In non-Census years, EPest and NASS-CU estimates 

also had good agreement (R2 = 0.95); these comparisons were 

based on as few as 3 states in 2000 and as many as 19 states in 

2001 and 2005 (not shown).

Differences in geographic and temporal coverage and 

methods used to collect pesticide use information are factors 

that contribute to the variation in atrazine estimates for corn 

from the three datasets compared. Both NASS and EPest 

data are based on statistical surveys which are selective by 

their design and dependent on sampling density to produce 

statistically reliable estimates for states and the nation. EPest 

and NASS-CU data are highly correlated when compared 

state-by-state for the same years; however, because of the 

constraints of NASS sample design, atrazine use on corn could 

not be compared for all states that had an EPest estimate. 

Although NPUD data are derived from NASS survey data 

for multiple years, NPUD also incorporates information 

from chemical use specialists and when necessary, uses 

application rates imputed from neighboring states to produce 

a more complete set of chemical application rates for the 

conterminous United States. 

Figure 11. Comparison of EPest and (A) National Pesticide Use Database (NPUD) and (B) National Agriculture Statistics Service 

Chemical Use (NASS-CU) estimates of state atrazine use on corn. NPUD ESTIMATE, IN MILLION POUNDS PER STATE

NASS-CU ESTIMATE, IN MILLION POUNDS PER ACRE

A. B. 

Best fit regression line, 

R2

 = 0.98

NASS CU = 0.89 EPest + 42, 377

NASS-CU = EPest

0 2 4 6 8 10 12 14 16

2

0

4

6

8

10

12

14

16

2

0

4

6

8

10

12

14

16

EPEST ESTIMATE, IN MILLION POUNDS PER STATE

0 2 4 6 8 10 12 14 16

EPEST ESTIMATE, IN MILLION POUNDS PER STATE

Best fit regression line, 

R2

 = 0.99

NPUD = 0.97 EPest - 45, 829

NPUD = EPest
26﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Application of County Atrazine-Use

Data

For U.S. Geological Survey water-quality studies, a 

primary application of atrazine-use estimates produced in 

this study is as an explanatory variable in regression models 

developed to predict atrazine concentrations in streams by 

using watershed characteristics. The Watershed Regressions 

for Pesticides (WARP) model developed using watershed 

atrazine-use estimates from NPUD data (Larson and others, 

2004) indicated that pesticide use in a watershed was the most 

influential variable for predicting atrazine concentrations 

in a stream. An updated WARP model (Stone, and Gilliom, 

2009) was developed that incorporates annual concentration 

statistics, and annual use estimates for watersheds using EPest 

1992–1999 county-level atrazine data.

Annual atrazine use was estimated from EPest county 

atrazine-use data for 112 watershed between 1992 through 

1999 and used as input to the updated WARP model following 

the method described by Nakagaki and Wolock (2005). This 

method included the development of a basin land-covercounty weighting factor that was produced through a series of 

GIS processes in which GIS coverages of county boundaries 

and basin boundaries were intersected with an enhanced 

version of the 1992 National Land Cover Dataset (NLCD 

1992) (Nakagaki and others, 2007) in order to determine: 

(1) the counties that were entirely or partially contained in 

each of the 112 watersheds, and (2) the percentage of three 

types of NLCD agricultural land cover (row crops/grains/

fallow, orchards/vineyards, and pasture/hay) within each of the 

counties in the watershed. The weighting factors were used to 

allocate county-level pesticide use by crop to the three landcover classes. The watershed use-intensity estimate, expressed 

in kilograms of atrazine applied to watershed area (km2), 

was calculated by summing the pesticide use estimates for 

the counties entirely and partially contained in the watershed 

and dividing the total mass by the watershed area. Atrazine 

use-intensity estimates for the 112 watersheds used in WARP 

model development were calculated using EPest 1992 through 

1999 atrazine-use estimates and 1992 NLCD land-cover data 

and are included in appendix table A-1. 

 As described above, land-cover information is a key 

component of the method used to estimate agricultural atrazine 

use in a watershed. Although this step in the process does 

not affect estimated use contributions from counties that are 

entirely within a watershed, this information is used to allocate 

a portion of a county’s use to a watershed for any county that 

is not entirely in the watershed. To date, the 1992 version of 

NLCD agricultural land-cover data has been used to allocate 

NPUD and EPest county-level pesticide-use estimates to a 

watershed. An updated version of the NLCD dataset has been 

developed by using data centered on the year 2001; it provides 

updated information on the spatial distribution and area of 

various land-cover classes across the conterminous United 

States. Although the 2001 NLCD (Homer and others, 2004) 

data were produced using data sources and methods similar 

to the 1992 NLCD data, two slightly different classification 

systems were used to map land-cover. The 1992 NLCD 

dataset identifies five agricultural land-cover classes (pasture/

hay, row crops, small grains, fallow, and orchards and 

vineyards), whereas the 2001 NLCD dataset identifies two 

broad agricultural classes (pasture/hay and cultivated crops 

that includes orchards and vineyards). A cross-walk (table 3) 

between the specific crops contained in the EPest countyatrazine database and the 1992 and 2001 NLCD agricultural 

land-cover classes was used to select and sum atrazine use for 

specific crops and associate them with the appropriate 1992 or 

2001 agricultural land-cover class. 

The 1992 and 2001 NLCD datasets provide information 

on the amount and spatial distribution of land-cover across 

almost a decade, and provide a framework to which the EPest 

multi-year atrazine-use data can be linked and to improve 

the characterization of agricultural pesticide use over time. 

For studies evaluating pesticide use trends that span the 

range of years for 1992 through 2007, it may be appropriate 

to (1) generalize the 1992 NLCD land-cover data to make it 

comparable with the 2001 NLCD by combining orchards and 

vineyards, small grains and fallow with the row crop category 

and (2) associate 1992–1997 EPest county pesticide use data 

with the general 1992 NLCD land-cover data and 1998–2007 

EPest county pesticide use with the 2001 NLCD data. This 

break-point was selected because beginning in 1998 AgroTrak 

data collection methods changed and the 2001 NLCD data 

includes some data collected in the late 1990s. However, for 

studies where improved land-cover information is available, 

these break points may not be appropriate.

Summary and Conclusions

A method was developed to estimate annual atrazine 

use on agricultural crops for all counties in the conterminous 

United States from 1992 to 2007. For all conterminous 

states, except California, atrazine crop application rates 

were developed on the basis of atrazine-use estimates for 

Crop Reporting Districts (CRD) included in the proprietary 

AgroTrak database developed by Doane Marketing ResearchKynetec (DMRK), and from publicly available data for 

annual county harvested crop acreage reported by the U.S. 

Department of Agriculture. To calculate atrazine cropapplication rates for the CRDs surveyed by DMRK, harvested 

acreage rather than planted acreage was used because the 

USDA reports county harvested acreage for almost all 

agricultural crops, whereas planted acreage is reported for only 

a subset of these crops. The atrazine crop-application rate was 

developed by dividing the DMRK-AgroTrak estimate of the 

mass of atrazine applied to a crop in the CRD by the harvested 

acreage for that crop in the CRD. The DMRK-AgroTrak 
References Cited﻿ ﻿ 27

database included atrazine-use data for most CRDs in the 

conterminous United States for most years between 1992 and 

2007. If atrazine-use data were not available for a CRD and 

crop for which USDA reported harvested acreage, an atrazine 

crop application rate (EPest rate) for that crop and year was 

estimated on the basis of rates determined through proximity 

analysis of surrounding CRDs. A hierarchy of decision rules 

was followed to develop a rate for the crop and year for the 

CRD without a rate. These rules included (1) calculating a Tier 

1 rate on the basis of the median rates of the DMRK surveyed 

rate(s) for the CRDs adjacent to the primary CRD or (2) if a 

Tier 1 rate was not available, calculating a Tier 2 rate using 

the median rate derived from a minimum of three DMRK 

surveyed CRDs adjacent to the Tier 1 CRDs, or (3) calculating 

the median of DMRK surveyed rates, Tier 1, or Tier 2 EPest 

rates from the CRDs that were part of the same USDA Farm 

Production Region, and lastly, (4) calculating a median crop 

application rate using available surveyed CRD rates from 

DMRK, and, or Tier 1, and Tier 2 CRDS that are part of the 

same USDA Farm Production Region for any year(s) between 

1992 and 2007. CRD crop application rates were then applied 

to county harvested-acreage values to estimate county atrazine 

use by crop, except in California, where county use was 

estimated directly from pesticide applicators usage reports. 

Total atrazine use derived from unsurveyed Tier 1, Tier 

2, or regional EPest rates contributed 2 percent or less to the 

national atrazine total estimates in any year; however, the 

method described above did not cover crops for years when 

harvested acres for a crop and county were not reported in the 

Census of Agriculture or NASS. Atrazine use in unsurveyed 

CRDS was important for some crops, particularly outside 

of the primary production areas of a crop and consequently 

where there were fewer DMRK-AgroTrak surveys.

To ensure that all crop acres were included in the 

development of crop application rates and that atrazine use 

on all crop acres in a county for all years was accounted for, 

the method developed in this study used linear interpolation 

to estimate acreage, for a crop that was not reported, by 

using data on acreage that was reported for another year. 

Crop acreage added by the interpolation method increased 

the estimated national acreage for all crops by less than 20 

percent. The acreage interpolation method was used most 

often to estimate county crop acreage in non-Census years for 

minor crops not reported by NASS, and less often to estimate 

acreage for major crops in years when NASS did not conduct 

a crop survey in a state.

EPest estimates of annual total atrazine use for the 

conterminous United States were compared with published 

data from USEPA, NPUD and NASS-CU. EPest totals agreed 

well with NPUD and USEPA estimates of total agricultural 

atrazine use, and were consistently higher than estimates 

reported by NASS, between 1992 and 2004 for selected 

crops and states. State-level atrazine use on corn was limited 

to comparisons between EPest and NPUD and EPest and 

NASS-CU. Atrazine-use estimates from EPest and NASS were 

compared for as few as seven states and as many as 

48 states when comparing EPest and NPUD data. EPest, 

NPUD, and NASS estimates were highly correlated, although 

EPest estimates tended to be slightly higher than those from 

NASS. 

This study used the herbicide atrazine for method 

development and testing because of the availability of 

extensive temporal and geographic data on atrazine use 

between 1992 and 2007. Tier 1, Tier 2, and regional EPest 

rates for unsurveyed CRDs enable estimation of atrazine use 

for all counties that reported harvested acreage of the crops 

on which atrazine was applied. Applying Tier 1, Tier 2 and 

regional EPest rates to counties in unsurveyed CRDs ensures 

that atrazine use is accounted for in areas of the country that 

have few DMRK-AgroTrak surveys. The method developed 

in this study should be applicable to pesticides included in 

DMRK-AgroTrak that have widespread use and relatively 

consistent usage patterns. However, the method will most 

likely need to be adjusted for insecticides and fungicides that 

do not have consistent geographic and temporal usage patterns 

and for pesticides that are primarily applied to specialty crops. 

In these cases, pesticide use estimated on the basis of Tier 1, 

Tier 2 or regional rates and interpolated crop acreage may 

represent a larger proportion of the estimated use, resulting in 

greater uncertainty in use estimates. 

Acknowledgments

The authors would like to thank Hylon Kauffman, Cliff 

Schasch, and John Thompson of DMRKynetec for their 

technical support and useful discussions that have provided 

a better understanding of the data, collection methods, 

and extrapolation procedures used in the development of 

AgroTrak. The authors would also like to acknowledge 

the GIS expertise of Naomi Nakagaki of the USGS, who 

developed the table of CRD relationships used to develop 

application rates for non-surveyed CRDs. The authors thank 

Bill Battaglin and Nancy Baker for their valuable comments 

during the USGS review process. 

References Cited

California Department of Pesticide Regulation, 2009, 

California Pesticide Information Portal (CALPIP), accessed 

on July 8, 2009, at http://www.cdpr.ca.gov/docs/pur/

purmain.htm

Gianessi, L.P., and Anderson, J.E., 1995, Pesticide use in U.S. 

crop production —National summary report: Washington, 

D.C., National Center for Food and Agricultural Policy, 

280 p. 
28﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Gianessi, L.P., and Marcelli M.B., 2000, Pesticide use 

in U.S. crop production: 1997—National summary 

report: Washington, D.C., National Center for Food and 

Agricultural Policy, variously paged. Available at http://

www.croplifefoundation.org/Documents/PUD/1997%20

PUD%20National%20Summary.pdf

Gianessi, L.P., and Reigner, N., 2006, Pesticide use in U.S. 

crop production: 2002—Insecticides & other pesticides: 

Washington, D.C., CropLife Foundation, 34 p. Available 

at http://www.croplifefoundation.org/Documents/PUD/

NPUD%202002/Inst%20and%20OP%20Data%20Report.

pdf

Homer, Collin, Huang, Chengquan, Yang, Limin, Wylie, 

Bruce, and Coan, Michael, 2004, Development of a 

2001 national land-cover database for the United States: 

Photogrammetric Engineering and Remote Sensing, v. 70, 

no. 7, p. 829–840. Available at http://www.mrlc.gov/pdf/

July_PERS.pdf

Kiely, T., Donaldson, D., and Grube, A., 2004, Pesticides 

industry sales and usage—2000 and 2001 market 

estimates: U.S. Environmental Protection Agency, Office of 

Prevention, Pesticides, and Toxic Substances, EPA-733-R 

04-001, 33 p.

Larson, S.J., Crawford, C.G., and Gilliom, R.J., 2004, 

Development and application of watershed regressions for 

pesticides (WARP) for estimating atrazine concentration 

distributions in streams: U.S. Geological Survey WaterResource Investigations Report 3–4047, 68 p.

Nakagaki, Naomi, Price, C.P., Falcone, J.A., Hitt, K.J., and 

Ruddy, B.C., 2007, Enhanced national land cover data 1992 

(NLCDe 92), version 1.0, [digital map], accessed December 

1, 2007, at http://water.usgs.gov/lookup/getspatial?nlcde92

Nakagaki, Naomi, and Wolock, D.M., 2005, Estimation of 

agricultural pesticide use in drainage basins using land 

cover maps and county pesticide data: U.S. Geological 

Survey Open File Report 2005–1188, 46 p.

Stone, W.W., and Gilliom, R.J., 2009, Update of watershed 

regressions for pesticides (WARP) for predicting atrazine 

concentration in streams: U.S. Geological Survey Open-File 

Report 2009–1122, 22 p.

Thelin, G.P., and Gianessi, L.P., 2000, Method for estimating 

pesticide use for county areas of the United States: U.S. 

Geological Survey Open-File Report 2000–25, 62 p.

U.S. Department of Agriculture, 1998, Agriculture fact book 

1998, accessed December 18, 2008, at http://www.usda.gov/

news/pubs/fbook98/content.htm

U.S. Department of Agriculture, 2009, Census of Agriculture, 

accessed January 7, 2009 at http://www.agcensus.usda.gov/

U.S. Department of Agriculture, 2009, National Agricultural 

Statistics Service (NASS). Agricultural chemical use 

database, accessed January 7, 2009, at http://www.

pestmanagement.info/nass/

U.S. Department of Agriculture, 2009, National Agricultural 

Statistics Service (NASS). Quick Stats, U.S. & All States 

County Data- Crops., accessed January 7, 2009 at http://

www.nass.usda.gov/Data_and_Statistics/Quick_Stats/index.

asp

 U.S. Environmental Protection Agency, 2009, Pesticide 

Product Label System (PPLS), accessed on July 8, 2009, at 

http://www.epa.gov/pesticides/pestlabels/
Tables﻿ ﻿ 29

Tables
30﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Alabama Alabama CRD 40 1040 Autauga 1001 Southeast

Alabama Alabama CRD 50 1050 Baldwin 1003 Southeast

Alabama Alabama CRD 60 1060 Barbour 1005 Southeast

Alabama Alabama CRD 30 1030 Bibb 1007 Southeast

Alabama Alabama CRD 20 1020 Blount 1009 Southeast

Alabama Alabama CRD 40 1040 Bullock 1011 Southeast

Alabama Alabama CRD 50 1050 Butler 1013 Southeast

Alabama Alabama CRD 20 1020 Calhoun 1015 Southeast

Alabama Alabama CRD 30 1030 Chambers 1017 Southeast

Alabama Alabama CRD 20 1020 Cherokee 1019 Southeast

Alabama Alabama CRD 30 1030 Chilton 1021 Southeast

Alabama Alabama CRD 50 1050 Choctaw 1023 Southeast

Alabama Alabama CRD 50 1050 Clarke 1025 Southeast

Alabama Alabama CRD 30 1030 Clay 1027 Southeast

Alabama Alabama CRD 20 1020 Cleburne 1029 Southeast

Alabama Alabama CRD 60 1060 Coffee 1031 Southeast

Alabama Alabama CRD 10 1010 Colbert 1033 Southeast

Alabama Alabama CRD 50 1050 Conecuh 1035 Southeast

Alabama Alabama CRD 30 1030 Coosa 1037 Southeast

Alabama Alabama CRD 60 1060 Covington 1039 Southeast

Alabama Alabama CRD 60 1060 Crenshaw 1041 Southeast

Alabama Alabama CRD 20 1020 Cullman 1043 Southeast

Alabama Alabama CRD 60 1060 Dale 1045 Southeast

Alabama Alabama CRD 40 1040 Dallas 1047 Southeast

Alabama Alabama CRD 20 1020 De Kalb 1049 Southeast

Alabama Alabama CRD 40 1040 Elmore 1051 Southeast

Alabama Alabama CRD 50 1050 Escambia 1053 Southeast

Alabama Alabama CRD 20 1020 Etowah 1055 Southeast

Alabama Alabama CRD 30 1030 Fayette 1057 Southeast

Alabama Alabama CRD 10 1010 Franklin 1059 Southeast

Alabama Alabama CRD 60 1060 Geneva 1061 Southeast

Alabama Alabama CRD 40 1040 Greene 1063 Southeast

Alabama Alabama CRD 40 1040 Hale 1065 Southeast

Alabama Alabama CRD 60 1060 Henry 1067 Southeast

Alabama Alabama CRD 60 1060 Houston 1069 Southeast

Alabama Alabama CRD 20 1020 Jackson 1071 Southeast

Alabama Alabama CRD 30 1030 Jefferson 1073 Southeast

Alabama Alabama CRD 30 1030 Lamar 1075 Southeast

Alabama Alabama CRD 10 1010 Lauderdale 1077 Southeast

Alabama Alabama CRD 10 1010 Lawrence 1079 Southeast

Alabama Alabama CRD 30 1030 Lee 1081 Southeast

Alabama Alabama CRD 10 1010 Limestone 1083 Southeast

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]
Tables﻿ ﻿ 31

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Alabama Alabama CRD 40 1040 Lowndes 1085 Southeast

Alabama Alabama CRD 40 1040 Macon 1087 Southeast

Alabama Alabama CRD 10 1010 Madison 1089 Southeast

Alabama Alabama CRD 40 1040 Marengo 1091 Southeast

Alabama Alabama CRD 10 1010 Marion 1093 Southeast

Alabama Alabama CRD 20 1020 Marshall 1095 Southeast

Alabama Alabama CRD 50 1050 Mobile 1097 Southeast

Alabama Alabama CRD 50 1050 Monroe 1099 Southeast

Alabama Alabama CRD 40 1040 Montgomery 1101 Southeast

Alabama Alabama CRD 10 1010 Morgan 1103 Southeast

Alabama Alabama CRD 40 1040 Perry 1105 Southeast

Alabama Alabama CRD 30 1030 Pickens 1107 Southeast

Alabama Alabama CRD 60 1060 Pike 1109 Southeast

Alabama Alabama CRD 30 1030 Randolph 1111 Southeast

Alabama Alabama CRD 60 1060 Russell 1113 Southeast

Alabama Alabama CRD 20 1020 St. Clair 1115 Southeast

Alabama Alabama CRD 30 1030 Shelby 1117 Southeast

Alabama Alabama CRD 40 1040 Sumter 1119 Southeast

Alabama Alabama CRD 30 1030 Talladega 1121 Southeast

Alabama Alabama CRD 30 1030 Tallapoosa 1123 Southeast

Alabama Alabama CRD 30 1030 Tuscaloosa 1125 Southeast

Alabama Alabama CRD 30 1030 Walker 1127 Southeast

Alabama Alabama CRD 50 1050 Washington 1129 Southeast

Alabama Alabama CRD 50 1050 Wilcox 1131 Southeast

Alabama Alabama CRD 10 1010 Winston 1133 Southeast

Arizona Arizona CRD 10 4010 Yavapai 4025 Mountain

Arizona Arizona CRD 10 4010 Mohave 4015 Mountain

Arizona Arizona CRD 10 4010 Navajo 4017 Mountain

Arizona Arizona CRD 10 4010 Gila 4007 Mountain

Arizona Arizona CRD 10 4010 Apache 4001 Mountain

Arizona Arizona CRD 10 4010 Coconino 4005 Mountain

Arizona Arizona CRD 80 4080 Yuma 4027 Mountain

Arizona Arizona CRD 80 4080 Pima 4019 Mountain

Arizona Arizona CRD 80 4080 Santa Cruz 4023 Mountain

Arizona Arizona CRD 80 4080 Pinal 4021 Mountain

Arizona Arizona CRD 80 4080 Graham 4009 Mountain

Arizona Arizona CRD 80 4080 Cochise 4003 Mountain

Arizona Arizona CRD 80 4080 Greenlee 4011 Mountain

Arizona Arizona CRD 80 4080 Maricopa 4013 Mountain

Arizona Arizona CRD 80 4080 La Paz 4012 Mountain

Arkansas Arkansas CRD 60 5060 Arkansas 5001 Delta

Arkansas Arkansas CRD 90 5090 Ashley 5003 Delta
32﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Arkansas Arkansas CRD 20 5020 Baxter 5005 Delta

Arkansas Arkansas CRD 10 5010 Benton 5007 Delta

Arkansas Arkansas CRD 10 5010 Boone 5009 Delta

Arkansas Arkansas CRD 80 5080 Bradley 5011 Delta

Arkansas Arkansas CRD 80 5080 Calhoun 5013 Delta

Arkansas Arkansas CRD 10 5010 Carroll 5015 Delta

Arkansas Arkansas CRD 90 5090 Chicot 5017 Delta

Arkansas Arkansas CRD 80 5080 Clark 5019 Delta

Arkansas Arkansas CRD 30 5030 Clay 5021 Delta

Arkansas Arkansas CRD 20 5020 Cleburne 5023 Delta

Arkansas Arkansas CRD 80 5080 Cleveland 5025 Delta

Arkansas Arkansas CRD 80 5080 Columbia 5027 Delta

Arkansas Arkansas CRD 50 5050 Conway 5029 Delta

Arkansas Arkansas CRD 30 5030 Craighead 5031 Delta

Arkansas Arkansas CRD 40 5040 Crawford 5033 Delta

Arkansas Arkansas CRD 60 5060 Crittenden 5035 Delta

Arkansas Arkansas CRD 60 5060 Cross 5037 Delta

Arkansas Arkansas CRD 80 5080 Dallas 5039 Delta

Arkansas Arkansas CRD 90 5090 Desha 5041 Delta

Arkansas Arkansas CRD 90 5090 Drew 5043 Delta

Arkansas Arkansas CRD 50 5050 Faulkner 5045 Delta

Arkansas Arkansas CRD 40 5040 Franklin 5047 Delta

Arkansas Arkansas CRD 20 5020 Fulton 5049 Delta

Arkansas Arkansas CRD 50 5050 Garland 5051 Delta

Arkansas Arkansas CRD 50 5050 Grant 5053 Delta

Arkansas Arkansas CRD 30 5030 Greene 5055 Delta

Arkansas Arkansas CRD 70 5070 Hempstead 5057 Delta

Arkansas Arkansas CRD 50 5050 Hot Spring 5059 Delta

Arkansas Arkansas CRD 70 5070 Howard 5061 Delta

Arkansas Arkansas CRD 30 5030 Independence 5063 Delta

Arkansas Arkansas CRD 20 5020 Izard 5065 Delta

Arkansas Arkansas CRD 30 5030 Jackson 5067 Delta

Arkansas Arkansas CRD 90 5090 Jefferson 5069 Delta

Arkansas Arkansas CRD 40 5040 Johnson 5071 Delta

Arkansas Arkansas CRD 70 5070 Lafayette 5073 Delta

Arkansas Arkansas CRD 30 5030 Lawrence 5075 Delta

Arkansas Arkansas CRD 60 5060 Lee 5077 Delta

Arkansas Arkansas CRD 90 5090 Lincoln 5079 Delta

Arkansas Arkansas CRD 70 5070 Little River 5081 Delta

Arkansas Arkansas CRD 40 5040 Logan 5083 Delta

Arkansas Arkansas CRD 60 5060 Lonoke 5085 Delta

Arkansas Arkansas CRD 10 5010 Madison 5087 Delta
Tables﻿ ﻿ 33

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Arkansas Arkansas CRD 20 5020 Marion 5089 Delta

Arkansas Arkansas CRD 70 5070 Miller 5091 Delta

Arkansas Arkansas CRD 30 5030 Mississippi 5093 Delta

Arkansas Arkansas CRD 60 5060 Monroe 5095 Delta

Arkansas Arkansas CRD 70 5070 Montgomery 5097 Delta

Arkansas Arkansas CRD 80 5080 Nevada 5099 Delta

Arkansas Arkansas CRD 10 5010 Newton 5101 Delta

Arkansas Arkansas CRD 80 5080 Ouachita 5103 Delta

Arkansas Arkansas CRD 50 5050 Perry 5105 Delta

Arkansas Arkansas CRD 60 5060 Phillips 5107 Delta

Arkansas Arkansas CRD 70 5070 Pike 5109 Delta

Arkansas Arkansas CRD 30 5030 Poinsett 5111 Delta

Arkansas Arkansas CRD 40 5040 Polk 5113 Delta

Arkansas Arkansas CRD 40 5040 Pope 5115 Delta

Arkansas Arkansas CRD 60 5060 Prairie 5117 Delta

Arkansas Arkansas CRD 50 5050 Pulaski 5119 Delta

Arkansas Arkansas CRD 30 5030 Randolph 5121 Delta

Arkansas Arkansas CRD 60 5060 St. Francis 5123 Delta

Arkansas Arkansas CRD 50 5050 Saline 5125 Delta

Arkansas Arkansas CRD 40 5040 Scott 5127 Delta

Arkansas Arkansas CRD 20 5020 Searcy 5129 Delta

Arkansas Arkansas CRD 40 5040 Sebastian 5131 Delta

Arkansas Arkansas CRD 70 5070 Sevier 5133 Delta

Arkansas Arkansas CRD 20 5020 Sharp 5135 Delta

Arkansas Arkansas CRD 20 5020 Stone 5137 Delta

Arkansas Arkansas CRD 80 5080 Union 5139 Delta

Arkansas Arkansas CRD 20 5020 Van Buren 5141 Delta

Arkansas Arkansas CRD 10 5010 Washington 5143 Delta

Arkansas Arkansas CRD 30 5030 White 5145 Delta

Arkansas Arkansas CRD 60 5060 Woodruff 5147 Delta

Arkansas Arkansas CRD 40 5040 Yell 5149 Delta

California California CRD 40 6040 Alameda 6001 Pacific

California California CRD 60 6060 Alpine 6003 Pacific

California California CRD 60 6060 Amador 6005 Pacific

California California CRD 50 6050 Butte 6007 Pacific

California California CRD 60 6060 Calaveras 6009 Pacific

California California CRD 50 6050 Colusa 6011 Pacific

California California CRD 40 6040 Contra Costa 6013 Pacific

California California CRD 10 6010 Del Norte 6015 Pacific

California California CRD 60 6060 El Dorado 6017 Pacific

California California CRD 51 6051 Fresno 6019 Pacific

California California CRD 50 6050 Glenn 6021 Pacific
34﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

California California CRD 10 6010 Humboldt 6023 Pacific

California California CRD 80 6080 Imperial 6025 Pacific

California California CRD 60 6060 Inyo 6027 Pacific

California California CRD 51 6051 Kern 6029 Pacific

California California CRD 51 6051 Kings 6031 Pacific

California California CRD 40 6040 Lake 6033 Pacific

California California CRD 30 6030 Lassen 6035 Pacific

California California CRD 80 6080 Los Angeles 6037 Pacific

California California CRD 51 6051 Madera 6039 Pacific

California California CRD 40 6040 Marin 6041 Pacific

California California CRD 60 6060 Mariposa 6043 Pacific

California California CRD 10 6010 Mendocino 6045 Pacific

California California CRD 51 6051 Merced 6047 Pacific

California California CRD 30 6030 Modoc 6049 Pacific

California California CRD 60 6060 Mono 6051 Pacific

California California CRD 40 6040 Monterey 6053 Pacific

California California CRD 40 6040 Napa 6055 Pacific

California California CRD 60 6060 Nevada 6057 Pacific

California California CRD 80 6080 Orange 6059 Pacific

California California CRD 60 6060 Placer 6061 Pacific

California California CRD 30 6030 Plumas 6063 Pacific

California California CRD 80 6080 Riverside 6065 Pacific

California California CRD 50 6050 Sacramento 6067 Pacific

California California CRD 40 6040 San Benito 6069 Pacific

California California CRD 80 6080 San Bernardino 6071 Pacific

California California CRD 80 6080 San Diego 6073 Pacific

California California CRD 40 6040 San Francisco 6075 Pacific

California California CRD 51 6051 San Joaquin 6077 Pacific

California California CRD 40 6040 San Luis Obispo 6079 Pacific

California California CRD 40 6040 San Mateo 6081 Pacific

California California CRD 80 6080 Santa Barbara 6083 Pacific

California California CRD 40 6040 Santa Clara 6085 Pacific

California California CRD 40 6040 Santa Cruz 6087 Pacific

California California CRD 20 6020 Shasta 6089 Pacific

California California CRD 60 6060 Sierra 6091 Pacific

California California CRD 20 6020 Siskiyou 6093 Pacific

California California CRD 50 6050 Solano 6095 Pacific

California California CRD 40 6040 Sonoma 6097 Pacific

California California CRD 51 6051 Stanislaus 6099 Pacific

California California CRD 50 6050 Sutter 6101 Pacific

California California CRD 50 6050 Tehama 6103 Pacific

California California CRD 20 6020 Trinity 6105 Pacific
Tables﻿ ﻿ 35

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

California California CRD 51 6051 Tulare 6107 Pacific

California California CRD 60 6060 Tuolumne 6109 Pacific

California California CRD 80 6080 Ventura 6111 Pacific

California California CRD 50 6050 Yolo 6113 Pacific

California California CRD 50 6050 Yuba 6115 Pacific

Colorado Colorado CRD 60 8060 Adams 8001 Mountain

Colorado Colorado CRD 80 8080 Alamosa 8003 Mountain

Colorado Colorado CRD 60 8060 Arapahoe 8005 Mountain

Colorado Colorado CRD 70 8070 Archuleta 8007 Mountain

Colorado Colorado CRD 90 8090 Baca 8009 Mountain

Colorado Colorado CRD 90 8090 Bent 8011 Mountain

Colorado Colorado CRD 20 8020 Boulder 8013 Mountain

Colorado Colorado CRD 60 8060 Broomfield 8014 Mountain

Colorado Colorado CRD 10 8010 Chaffee 8015 Mountain

Colorado Colorado CRD 60 8060 Cheyenne 8017 Mountain

Colorado Colorado CRD 10 8010 Clear Creek 8019 Mountain

Colorado Colorado CRD 80 8080 Conejos 8021 Mountain

Colorado Colorado CRD 80 8080 Costilla 8023 Mountain

Colorado Colorado CRD 90 8090 Crowley 8025 Mountain

Colorado Colorado CRD 90 8090 Custer 8027 Mountain

Colorado Colorado CRD 70 8070 Delta 8029 Mountain

Colorado Colorado CRD 60 8060 Denver 8031 Mountain

Colorado Colorado CRD 70 8070 Dolores 8033 Mountain

Colorado Colorado CRD 60 8060 Douglas 8035 Mountain

Colorado Colorado CRD 10 8010 Eagle 8037 Mountain

Colorado Colorado CRD 60 8060 Elbert 8039 Mountain

Colorado Colorado CRD 60 8060 El Paso 8041 Mountain

Colorado Colorado CRD 90 8090 Fremont 8043 Mountain

Colorado Colorado CRD 70 8070 Garfield 8045 Mountain

Colorado Colorado CRD 10 8010 Gilpin 8047 Mountain

Colorado Colorado CRD 10 8010 Grand 8049 Mountain

Colorado Colorado CRD 10 8010 Gunnison 8051 Mountain

Colorado Colorado CRD 70 8070 Hinsdale 8053 Mountain

Colorado Colorado CRD 90 8090 Huerfano 8055 Mountain

Colorado Colorado CRD 10 8010 Jackson 8057 Mountain

Colorado Colorado CRD 20 8020 Jefferson 8059 Mountain

Colorado Colorado CRD 60 8060 Kiowa 8061 Mountain

Colorado Colorado CRD 60 8060 Kit Carson 8063 Mountain

Colorado Colorado CRD 10 8010 Lake 8065 Mountain

Colorado Colorado CRD 70 8070 La Plata 8067 Mountain

Colorado Colorado CRD 20 8020 Larimer 8069 Mountain

Colorado Colorado CRD 90 8090 Las Animas 8071 Mountain
36﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Colorado Colorado CRD 60 8060 Lincoln 8073 Mountain

Colorado Colorado CRD 20 8020 Logan 8075 Mountain

Colorado Colorado CRD 70 8070 Mesa 8077 Mountain

Colorado Colorado CRD 80 8080 Mineral 8079 Mountain

Colorado Colorado CRD 10 8010 Moffat 8081 Mountain

Colorado Colorado CRD 70 8070 Montezuma 8083 Mountain

Colorado Colorado CRD 70 8070 Montrose 8085 Mountain

Colorado Colorado CRD 20 8020 Morgan 8087 Mountain

Colorado Colorado CRD 90 8090 Otero 8089 Mountain

Colorado Colorado CRD 70 8070 Ouray 8091 Mountain

Colorado Colorado CRD 10 8010 Park 8093 Mountain

Colorado Colorado CRD 60 8060 Phillips 8095 Mountain

Colorado Colorado CRD 10 8010 Pitkin 8097 Mountain

Colorado Colorado CRD 90 8090 Prowers 8099 Mountain

Colorado Colorado CRD 90 8090 Pueblo 8101 Mountain

Colorado Colorado CRD 10 8010 Rio Blanco 8103 Mountain

Colorado Colorado CRD 80 8080 Rio Grande 8105 Mountain

Colorado Colorado CRD 10 8010 Routt 8107 Mountain

Colorado Colorado CRD 80 8080 Saguache 8109 Mountain

Colorado Colorado CRD 70 8070 San Juan 8111 Mountain

Colorado Colorado CRD 70 8070 San Miguel 8113 Mountain

Colorado Colorado CRD 20 8020 Sedgwick 8115 Mountain

Colorado Colorado CRD 10 8010 Summit 8117 Mountain

Colorado Colorado CRD 10 8010 Teller 8119 Mountain

Colorado Colorado CRD 60 8060 Washington 8121 Mountain

Colorado Colorado CRD 20 8020 Weld 8123 Mountain

Colorado Colorado CRD 60 8060 Yuma 8125 Mountain

Connecticut Connecticut CRD 10 9010 Fairfield 9001 Northeast

Connecticut Connecticut CRD 10 9010 Hartford 9003 Northeast

Connecticut Connecticut CRD 10 9010 Litchfield 9005 Northeast

Connecticut Connecticut CRD 10 9010 Middlesex 9007 Northeast

Connecticut Connecticut CRD 10 9010 New Haven 9009 Northeast

Connecticut Connecticut CRD 10 9010 New London 9011 Northeast

Connecticut Connecticut CRD 10 9010 Tolland 9013 Northeast

Connecticut Connecticut CRD 10 9010 Windham 9015 Northeast

Delaware Delaware CRD 50 10050 Kent 10001 Northeast

Delaware Delaware CRD 20 10020 New Castle 10003 Northeast

Delaware Delaware CRD 80 10080 Sussex 10005 Northeast

Florida Florida CRD 50 12050 Alachua 12001 Southeast

Florida Florida CRD 30 12030 Baker 12003 Southeast

Florida Florida CRD 10 12010 Bay 12005 Southeast

Florida Florida CRD 50 12050 Bradford 12007 Southeast
Tables﻿ ﻿ 37

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Florida Florida CRD 80 12080 Brevard 12009 Southeast

Florida Florida CRD 80 12080 Broward 12011 Southeast

Florida Florida CRD 10 12010 Calhoun 12013 Southeast

Florida Florida CRD 80 12080 Charlotte 12015 Southeast

Florida Florida CRD 50 12050 Citrus 12017 Southeast

Florida Florida CRD 50 12050 Clay 12019 Southeast

Florida Florida CRD 80 12080 Collier 12021 Southeast

Florida Florida CRD 30 12030 Columbia 12023 Southeast

Florida Florida CRD 80 12080 De Soto 12027 Southeast

Florida Florida CRD 30 12030 Dixie 12029 Southeast

Florida Florida CRD 30 12030 Duval 12031 Southeast

Florida Florida CRD 10 12010 Escambia 12033 Southeast

Florida Florida CRD 50 12050 Flagler 12035 Southeast

Florida Florida CRD 10 12010 Franklin 12037 Southeast

Florida Florida CRD 10 12010 Gadsden 12039 Southeast

Florida Florida CRD 50 12050 Gilchrist 12041 Southeast

Florida Florida CRD 80 12080 Glades 12043 Southeast

Florida Florida CRD 10 12010 Gulf 12045 Southeast

Florida Florida CRD 30 12030 Hamilton 12047 Southeast

Florida Florida CRD 80 12080 Hardee 12049 Southeast

Florida Florida CRD 80 12080 Hendry 12051 Southeast

Florida Florida CRD 50 12050 Hernando 12053 Southeast

Florida Florida CRD 80 12080 Highlands 12055 Southeast

Florida Florida CRD 50 12050 Hillsborough 12057 Southeast

Florida Florida CRD 10 12010 Holmes 12059 Southeast

Florida Florida CRD 80 12080 Indian River 12061 Southeast

Florida Florida CRD 10 12010 Jackson 12063 Southeast

Florida Florida CRD 10 12010 Jefferson 12065 Southeast

Florida Florida CRD 30 12030 Lafayette 12067 Southeast

Florida Florida CRD 50 12050 Lake 12069 Southeast

Florida Florida CRD 80 12080 Lee 12071 Southeast

Florida Florida CRD 10 12010 Leon 12073 Southeast

Florida Florida CRD 50 12050 Levy 12075 Southeast

Florida Florida CRD 10 12010 Liberty 12077 Southeast

Florida Florida CRD 30 12030 Madison 12079 Southeast

Florida Florida CRD 80 12080 Manatee 12081 Southeast

Florida Florida CRD 50 12050 Marion 12083 Southeast

Florida Florida CRD 80 12080 Martin 12085 Southeast

Florida Florida CRD 80 12080 Miami-Dade 12086 Southeast

Florida Florida CRD 80 12080 Monroe 12087 Southeast

Florida Florida CRD 30 12030 Nassau 12089 Southeast

Florida Florida CRD 10 12010 Okaloosa 12091 Southeast
38﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Florida Florida CRD 80 12080 Okeechobee 12093 Southeast

Florida Florida CRD 50 12050 Orange 12095 Southeast

Florida Florida CRD 50 12050 Osceola 12097 Southeast

Florida Florida CRD 80 12080 Palm Beach 12099 Southeast

Florida Florida CRD 50 12050 Pasco 12101 Southeast

Florida Florida CRD 50 12050 Pinellas 12103 Southeast

Florida Florida CRD 50 12050 Polk 12105 Southeast

Florida Florida CRD 50 12050 Putnam 12107 Southeast

Florida Florida CRD 50 12050 St. Johns 12109 Southeast

Florida Florida CRD 80 12080 St. Lucie 12111 Southeast

Florida Florida CRD 10 12010 Santa Rosa 12113 Southeast

Florida Florida CRD 80 12080 Sarasota 12115 Southeast

Florida Florida CRD 50 12050 Seminole 12117 Southeast

Florida Florida CRD 50 12050 Sumter 12119 Southeast

Florida Florida CRD 30 12030 Suwannee 12121 Southeast

Florida Florida CRD 30 12030 Taylor 12123 Southeast

Florida Florida CRD 50 12050 Union 12125 Southeast

Florida Florida CRD 50 12050 Volusia 12127 Southeast

Florida Florida CRD 10 12010 Wakulla 12129 Southeast

Florida Florida CRD 10 12010 Walton 12131 Southeast

Florida Florida CRD 10 12010 Washington 12133 Southeast

Georgia Georgia CRD 90 13090 Appling 13001 Southeast

Georgia Georgia CRD 80 13080 Atkinson 13003 Southeast

Georgia Georgia CRD 90 13090 Bacon 13005 Southeast

Georgia Georgia CRD 70 13070 Baker 13007 Southeast

Georgia Georgia CRD 50 13050 Baldwin 13009 Southeast

Georgia Georgia CRD 30 13030 Banks 13011 Southeast

Georgia Georgia CRD 20 13020 Barrow 13013 Southeast

Georgia Georgia CRD 10 13010 Bartow 13015 Southeast

Georgia Georgia CRD 80 13080 Ben hill 13017 Southeast

Georgia Georgia CRD 80 13080 Berrien 13019 Southeast

Georgia Georgia CRD 50 13050 Bibb 13021 Southeast

Georgia Georgia CRD 50 13050 Bleckley 13023 Southeast

Georgia Georgia CRD 90 13090 Brantley 13025 Southeast

Georgia Georgia CRD 80 13080 Brooks 13027 Southeast

Georgia Georgia CRD 90 13090 Bryan 13029 Southeast

Georgia Georgia CRD 60 13060 Bulloch 13031 Southeast

Georgia Georgia CRD 60 13060 Burke 13033 Southeast

Georgia Georgia CRD 50 13050 Butts 13035 Southeast

Georgia Georgia CRD 70 13070 Calhoun 13037 Southeast

Georgia Georgia CRD 90 13090 Camden 13039 Southeast

Georgia Georgia CRD 60 13060 Candler 13043 Southeast
Tables﻿ ﻿ 39

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Georgia Georgia CRD 40 13040 Carroll 13045 Southeast

Georgia Georgia CRD 10 13010 Catoosa 13047 Southeast

Georgia Georgia CRD 90 13090 Charlton 13049 Southeast

Georgia Georgia CRD 90 13090 Chatham 13051 Southeast

Georgia Georgia CRD 40 13040 Chattahoochee 13053 Southeast

Georgia Georgia CRD 10 13010 Chattooga 13055 Southeast

Georgia Georgia CRD 20 13020 Cherokee 13057 Southeast

Georgia Georgia CRD 20 13020 Clarke 13059 Southeast

Georgia Georgia CRD 70 13070 Clay 13061 Southeast

Georgia Georgia CRD 40 13040 Clayton 13063 Southeast

Georgia Georgia CRD 80 13080 Clinch 13065 Southeast

Georgia Georgia CRD 20 13020 Cobb 13067 Southeast

Georgia Georgia CRD 80 13080 Coffee 13069 Southeast

Georgia Georgia CRD 80 13080 Colquitt 13071 Southeast

Georgia Georgia CRD 60 13060 Columbia 13073 Southeast

Georgia Georgia CRD 80 13080 Cook 13075 Southeast

Georgia Georgia CRD 40 13040 Coweta 13077 Southeast

Georgia Georgia CRD 50 13050 Crawford 13079 Southeast

Georgia Georgia CRD 80 13080 Crisp 13081 Southeast

Georgia Georgia CRD 10 13010 Dade 13083 Southeast

Georgia Georgia CRD 20 13020 Dawson 13085 Southeast

Georgia Georgia CRD 70 13070 Decatur 13087 Southeast

Georgia Georgia CRD 20 13020 De Kalb 13089 Southeast

Georgia Georgia CRD 50 13050 Dodge 13091 Southeast

Georgia Georgia CRD 80 13080 Dooly 13093 Southeast

Georgia Georgia CRD 70 13070 Dougherty 13095 Southeast

Georgia Georgia CRD 40 13040 Douglas 13097 Southeast

Georgia Georgia CRD 70 13070 Early 13099 Southeast

Georgia Georgia CRD 80 13080 Echols 13101 Southeast

Georgia Georgia CRD 60 13060 Effingham 13103 Southeast

Georgia Georgia CRD 30 13030 Elbert 13105 Southeast

Georgia Georgia CRD 60 13060 Emanuel 13107 Southeast

Georgia Georgia CRD 90 13090 Evans 13109 Southeast

Georgia Georgia CRD 20 13020 Fannin 13111 Southeast

Georgia Georgia CRD 40 13040 Fayette 13113 Southeast

Georgia Georgia CRD 10 13010 Floyd 13115 Southeast

Georgia Georgia CRD 20 13020 Forsyth 13117 Southeast

Georgia Georgia CRD 30 13030 Franklin 13119 Southeast

Georgia Georgia CRD 20 13020 Fulton 13121 Southeast

Georgia Georgia CRD 20 13020 Gilmer 13123 Southeast

Georgia Georgia CRD 60 13060 Glascock 13125 Southeast

Georgia Georgia CRD 90 13090 Glynn 13127 Southeast
40﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Georgia Georgia CRD 10 13010 Gordon 13129 Southeast

Georgia Georgia CRD 70 13070 Grady 13131 Southeast

Georgia Georgia CRD 50 13050 Greene 13133 Southeast

Georgia Georgia CRD 20 13020 Gwinnett 13135 Southeast

Georgia Georgia CRD 30 13030 Habersham 13137 Southeast

Georgia Georgia CRD 20 13020 Hall 13139 Southeast

Georgia Georgia CRD 50 13050 Hancock 13141 Southeast

Georgia Georgia CRD 40 13040 Haralson 13143 Southeast

Georgia Georgia CRD 40 13040 Harris 13145 Southeast

Georgia Georgia CRD 30 13030 Hart 13147 Southeast

Georgia Georgia CRD 40 13040 Heard 13149 Southeast

Georgia Georgia CRD 40 13040 Henry 13151 Southeast

Georgia Georgia CRD 50 13050 Houston 13153 Southeast

Georgia Georgia CRD 80 13080 Irwin 13155 Southeast

Georgia Georgia CRD 20 13020 Jackson 13157 Southeast

Georgia Georgia CRD 50 13050 Jasper 13159 Southeast

Georgia Georgia CRD 80 13080 Jeff Davis 13161 Southeast

Georgia Georgia CRD 60 13060 Jefferson 13163 Southeast

Georgia Georgia CRD 60 13060 Jenkins 13165 Southeast

Georgia Georgia CRD 50 13050 Johnson 13167 Southeast

Georgia Georgia CRD 50 13050 Jones 13169 Southeast

Georgia Georgia CRD 40 13040 Lamar 13171 Southeast

Georgia Georgia CRD 80 13080 Lanier 13173 Southeast

Georgia Georgia CRD 50 13050 Laurens 13175 Southeast

Georgia Georgia CRD 70 13070 Lee 13177 Southeast

Georgia Georgia CRD 90 13090 Liberty 13179 Southeast

Georgia Georgia CRD 30 13030 Lincoln 13181 Southeast

Georgia Georgia CRD 90 13090 Long 13183 Southeast

Georgia Georgia CRD 80 13080 Lowndes 13185 Southeast

Georgia Georgia CRD 20 13020 Lumpkin 13187 Southeast

Georgia Georgia CRD 60 13060 McDuffie 13189 Southeast

Georgia Georgia CRD 90 13090 McIntosh 13191 Southeast

Georgia Georgia CRD 40 13040 Macon 13193 Southeast

Georgia Georgia CRD 30 13030 Madison 13195 Southeast

Georgia Georgia CRD 40 13040 Marion 13197 Southeast

Georgia Georgia CRD 40 13040 Meriwether 13199 Southeast

Georgia Georgia CRD 70 13070 Miller 13201 Southeast

Georgia Georgia CRD 70 13070 Mitchell 13205 Southeast

Georgia Georgia CRD 50 13050 Monroe 13207 Southeast

Georgia Georgia CRD 50 13050 Montgomery 13209 Southeast

Georgia Georgia CRD 50 13050 Morgan 13211 Southeast

Georgia Georgia CRD 10 13010 Murray 13213 Southeast
Tables﻿ ﻿ 41

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Georgia Georgia CRD 40 13040 Muscogee 13215 Southeast

Georgia Georgia CRD 50 13050 Newton 13217 Southeast

Georgia Georgia CRD 20 13020 Oconee 13219 Southeast

Georgia Georgia CRD 30 13030 Oglethorpe 13221 Southeast

Georgia Georgia CRD 10 13010 Paulding 13223 Southeast

Georgia Georgia CRD 50 13050 Peach 13225 Southeast

Georgia Georgia CRD 20 13020 Pickens 13227 Southeast

Georgia Georgia CRD 90 13090 Pierce 13229 Southeast

Georgia Georgia CRD 40 13040 Pike 13231 Southeast

Georgia Georgia CRD 10 13010 Polk 13233 Southeast

Georgia Georgia CRD 50 13050 Pulaski 13235 Southeast

Georgia Georgia CRD 50 13050 Putnam 13237 Southeast

Georgia Georgia CRD 70 13070 Quitman 13239 Southeast

Georgia Georgia CRD 30 13030 Rabun 13241 Southeast

Georgia Georgia CRD 70 13070 Randolph 13243 Southeast

Georgia Georgia CRD 60 13060 Richmond 13245 Southeast

Georgia Georgia CRD 50 13050 Rockdale 13247 Southeast

Georgia Georgia CRD 40 13040 Schley 13249 Southeast

Georgia Georgia CRD 60 13060 Screven 13251 Southeast

Georgia Georgia CRD 70 13070 Seminole 13253 Southeast

Georgia Georgia CRD 40 13040 Spaulding 13255 Southeast

Georgia Georgia CRD 30 13030 Stephens 13257 Southeast

Georgia Georgia CRD 70 13070 Stewart 13259 Southeast

Georgia Georgia CRD 70 13070 Sumter 13261 Southeast

Georgia Georgia CRD 40 13040 Talbot 13263 Southeast

Georgia Georgia CRD 50 13050 Taliaferro 13265 Southeast

Georgia Georgia CRD 90 13090 Tattnall 13267 Southeast

Georgia Georgia CRD 40 13040 Taylor 13269 Southeast

Georgia Georgia CRD 80 13080 Telfair 13271 Southeast

Georgia Georgia CRD 70 13070 Terrell 13273 Southeast

Georgia Georgia CRD 70 13070 Thomas 13275 Southeast

Georgia Georgia CRD 80 13080 Tift 13277 Southeast

Georgia Georgia CRD 90 13090 Toombs 13279 Southeast

Georgia Georgia CRD 20 13020 Towns 13281 Southeast

Georgia Georgia CRD 50 13050 Treutlen 13283 Southeast

Georgia Georgia CRD 40 13040 Troup 13285 Southeast

Georgia Georgia CRD 80 13080 Turner 13287 Southeast

Georgia Georgia CRD 50 13050 Twiggs 13289 Southeast

Georgia Georgia CRD 20 13020 Union 13291 Southeast

Georgia Georgia CRD 40 13040 Upson 13293 Southeast

Georgia Georgia CRD 10 13010 Walker 13295 Southeast

Georgia Georgia CRD 20 13020 Walton 13297 Southeast
42﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Georgia Georgia CRD 90 13090 Ware 13299 Southeast

Georgia Georgia CRD 60 13060 Warren 13301 Southeast

Georgia Georgia CRD 50 13050 Washington 13303 Southeast

Georgia Georgia CRD 90 13090 Wayne 13305 Southeast

Georgia Georgia CRD 70 13070 Webster 13307 Southeast

Georgia Georgia CRD 50 13050 Wheeler 13309 Southeast

Georgia Georgia CRD 20 13020 White 13311 Southeast

Georgia Georgia CRD 10 13010 Whitfield 13313 Southeast

Georgia Georgia CRD 80 13080 Wilcox 13315 Southeast

Georgia Georgia CRD 30 13030 Wilkes 13317 Southeast

Georgia Georgia CRD 50 13050 Wilkinson 13319 Southeast

Georgia Georgia CRD 80 13080 Worth 13321 Southeast

Idaho Idaho CRD 70 16070 Ada 16001 Mountain

Idaho Idaho CRD 70 16070 Adams 16003 Mountain

Idaho Idaho CRD 90 16090 Bannock 16005 Mountain

Idaho Idaho CRD 90 16090 Bear Lake 16007 Mountain

Idaho Idaho CRD 10 16010 Benewah 16009 Mountain

Idaho Idaho CRD 90 16090 Bingham 16011 Mountain

Idaho Idaho CRD 80 16080 Blaine 16013 Mountain

Idaho Idaho CRD 70 16070 Boise 16015 Mountain

Idaho Idaho CRD 10 16010 Bonner 16017 Mountain

Idaho Idaho CRD 90 16090 Bonneville 16019 Mountain

Idaho Idaho CRD 10 16010 Boundary 16021 Mountain

Idaho Idaho CRD 90 16090 Butte 16023 Mountain

Idaho Idaho CRD 80 16080 Camas 16025 Mountain

Idaho Idaho CRD 70 16070 Canyon 16027 Mountain

Idaho Idaho CRD 90 16090 Caribou 16029 Mountain

Idaho Idaho CRD 80 16080 Cassia 16031 Mountain

Idaho Idaho CRD 90 16090 Clark 16033 Mountain

Idaho Idaho CRD 10 16010 Clearwater 16035 Mountain

Idaho Idaho CRD 90 16090 Custer 16037 Mountain

Idaho Idaho CRD 70 16070 Elmore 16039 Mountain

Idaho Idaho CRD 90 16090 Franklin 16041 Mountain

Idaho Idaho CRD 90 16090 Fremont 16043 Mountain

Idaho Idaho CRD 70 16070 Gem 16045 Mountain

Idaho Idaho CRD 80 16080 Gooding 16047 Mountain

Idaho Idaho CRD 10 16010 Idaho 16049 Mountain

Idaho Idaho CRD 90 16090 Jefferson 16051 Mountain

Idaho Idaho CRD 80 16080 Jerome 16053 Mountain

Idaho Idaho CRD 10 16010 Kootenai 16055 Mountain

Idaho Idaho CRD 10 16010 Latah 16057 Mountain

Idaho Idaho CRD 90 16090 Lemhi 16059 Mountain
Tables﻿ ﻿ 43

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Idaho Idaho CRD 10 16010 Lewis 16061 Mountain

Idaho Idaho CRD 80 16080 Lincoln 16063 Mountain

Idaho Idaho CRD 90 16090 Madison 16065 Mountain

Idaho Idaho CRD 80 16080 Minidoka 16067 Mountain

Idaho Idaho CRD 10 16010 Nez Perce 16069 Mountain

Idaho Idaho CRD 90 16090 Oneida 16071 Mountain

Idaho Idaho CRD 70 16070 Owyhee 16073 Mountain

Idaho Idaho CRD 70 16070 Payette 16075 Mountain

Idaho Idaho CRD 90 16090 Power 16077 Mountain

Idaho Idaho CRD 10 16010 Shoshone 16079 Mountain

Idaho Idaho CRD 90 16090 Teton 16081 Mountain

Idaho Idaho CRD 80 16080 Twin Falls 16083 Mountain

Idaho Idaho CRD 70 16070 Valley 16085 Mountain

Idaho Idaho CRD 70 16070 Washington 16087 Mountain

Illinois Illinois CRD 30 17030 Adams 17001 Corn-belt

Illinois Illinois CRD 80 17080 Alexander 17003 Corn-belt

Illinois Illinois CRD 60 17060 Bond 17005 Corn-belt

Illinois Illinois CRD 20 17020 Boone 17007 Corn-belt

Illinois Illinois CRD 30 17030 Brown 17009 Corn-belt

Illinois Illinois CRD 10 17010 Bureau 17011 Corn-belt

Illinois Illinois CRD 60 17060 Calhoun 17013 Corn-belt

Illinois Illinois CRD 10 17010 Carroll 17015 Corn-belt

Illinois Illinois CRD 60 17060 Cass 17017 Corn-belt

Illinois Illinois CRD 50 17050 Champaign 17019 Corn-belt

Illinois Illinois CRD 60 17060 Christian 17021 Corn-belt

Illinois Illinois CRD 70 17070 Clark 17023 Corn-belt

Illinois Illinois CRD 70 17070 Clay 17025 Corn-belt

Illinois Illinois CRD 80 17080 Clinton 17027 Corn-belt

Illinois Illinois CRD 70 17070 Coles 17029 Corn-belt

Illinois Illinois CRD 20 17020 Cook 17031 Corn-belt

Illinois Illinois CRD 70 17070 Crawford 17033 Corn-belt

Illinois Illinois CRD 70 17070 Cumberland 17035 Corn-belt

Illinois Illinois CRD 20 17020 De Kalb 17037 Corn-belt

Illinois Illinois CRD 40 17040 De Witt 17039 Corn-belt

Illinois Illinois CRD 70 17070 Douglas 17041 Corn-belt

Illinois Illinois CRD 20 17020 Du Page 17043 Corn-belt

Illinois Illinois CRD 70 17070 Edgar 17045 Corn-belt

Illinois Illinois CRD 90 17090 Edwards 17047 Corn-belt

Illinois Illinois CRD 70 17070 Effingham 17049 Corn-belt

Illinois Illinois CRD 70 17070 Fayette 17051 Corn-belt

Illinois Illinois CRD 50 17050 Ford 17053 Corn-belt

Illinois Illinois CRD 90 17090 Franklin 17055 Corn-belt
44﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Illinois Illinois CRD 30 17030 Fulton 17057 Corn-belt

Illinois Illinois CRD 90 17090 Gallatin 17059 Corn-belt

Illinois Illinois CRD 60 17060 Greene 17061 Corn-belt

Illinois Illinois CRD 20 17020 Grundy 17063 Corn-belt

Illinois Illinois CRD 90 17090 Hamilton 17065 Corn-belt

Illinois Illinois CRD 30 17030 Hancock 17067 Corn-belt

Illinois Illinois CRD 90 17090 Hardin 17069 Corn-belt

Illinois Illinois CRD 30 17030 Henderson 17071 Corn-belt

Illinois Illinois CRD 10 17010 Henry 17073 Corn-belt

Illinois Illinois CRD 50 17050 Iroquois 17075 Corn-belt

Illinois Illinois CRD 80 17080 Jackson 17077 Corn-belt

Illinois Illinois CRD 70 17070 Jasper 17079 Corn-belt

Illinois Illinois CRD 90 17090 Jefferson 17081 Corn-belt

Illinois Illinois CRD 60 17060 Jersey 17083 Corn-belt

Illinois Illinois CRD 10 17010 Jo Daviess 17085 Corn-belt

Illinois Illinois CRD 80 17080 Johnson 17087 Corn-belt

Illinois Illinois CRD 20 17020 Kane 17089 Corn-belt

Illinois Illinois CRD 50 17050 Kankakee 17091 Corn-belt

Illinois Illinois CRD 20 17020 Kendall 17093 Corn-belt

Illinois Illinois CRD 30 17030 Knox 17095 Corn-belt

Illinois Illinois CRD 20 17020 Lake 17097 Corn-belt

Illinois Illinois CRD 20 17020 La Salle 17099 Corn-belt

Illinois Illinois CRD 70 17070 Lawrence 17101 Corn-belt

Illinois Illinois CRD 10 17010 Lee 17103 Corn-belt

Illinois Illinois CRD 50 17050 Livingston 17105 Corn-belt

Illinois Illinois CRD 40 17040 Logan 17107 Corn-belt

Illinois Illinois CRD 30 17030 McDonough 17109 Corn-belt

Illinois Illinois CRD 20 17020 McHenry 17111 Corn-belt

Illinois Illinois CRD 40 17040 McLean 17113 Corn-belt

Illinois Illinois CRD 40 17040 Macon 17115 Corn-belt

Illinois Illinois CRD 60 17060 Macoupin 17117 Corn-belt

Illinois Illinois CRD 60 17060 Madison 17119 Corn-belt

Illinois Illinois CRD 70 17070 Marion 17121 Corn-belt

Illinois Illinois CRD 40 17040 Marshall 17123 Corn-belt

Illinois Illinois CRD 40 17040 Mason 17125 Corn-belt

Illinois Illinois CRD 90 17090 Massac 17127 Corn-belt

Illinois Illinois CRD 40 17040 Menard 17129 Corn-belt

Illinois Illinois CRD 10 17010 Mercer 17131 Corn-belt

Illinois Illinois CRD 80 17080 Monroe 17133 Corn-belt

Illinois Illinois CRD 60 17060 Montgomery 17135 Corn-belt

Illinois Illinois CRD 60 17060 Morgan 17137 Corn-belt

Illinois Illinois CRD 70 17070 Moultrie 17139 Corn-belt
Tables﻿ ﻿ 45

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Illinois Illinois CRD 10 17010 Ogle 17141 Corn-belt

Illinois Illinois CRD 40 17040 Peoria 17143 Corn-belt

Illinois Illinois CRD 80 17080 Perry 17145 Corn-belt

Illinois Illinois CRD 50 17050 Piatt 17147 Corn-belt

Illinois Illinois CRD 60 17060 Pike 17149 Corn-belt

Illinois Illinois CRD 90 17090 Pope 17151 Corn-belt

Illinois Illinois CRD 80 17080 Pulaski 17153 Corn-belt

Illinois Illinois CRD 10 17010 Putnam 17155 Corn-belt

Illinois Illinois CRD 80 17080 Randolph 17157 Corn-belt

Illinois Illinois CRD 70 17070 Richland 17159 Corn-belt

Illinois Illinois CRD 10 17010 Rock Island 17161 Corn-belt

Illinois Illinois CRD 80 17080 St. Clair 17163 Corn-belt

Illinois Illinois CRD 90 17090 Saline 17165 Corn-belt

Illinois Illinois CRD 60 17060 Sangamon 17167 Corn-belt

Illinois Illinois CRD 30 17030 Schuyler 17169 Corn-belt

Illinois Illinois CRD 60 17060 Scott 17171 Corn-belt

Illinois Illinois CRD 70 17070 Shelby 17173 Corn-belt

Illinois Illinois CRD 40 17040 Stark 17175 Corn-belt

Illinois Illinois CRD 10 17010 Stephenson 17177 Corn-belt

Illinois Illinois CRD 40 17040 Tazewell 17179 Corn-belt

Illinois Illinois CRD 80 17080 Union 17181 Corn-belt

Illinois Illinois CRD 50 17050 Vermilion 17183 Corn-belt

Illinois Illinois CRD 90 17090 Wabash 17185 Corn-belt

Illinois Illinois CRD 30 17030 Warren 17187 Corn-belt

Illinois Illinois CRD 80 17080 Washington 17189 Corn-belt

Illinois Illinois CRD 90 17090 Wayne 17191 Corn-belt

Illinois Illinois CRD 90 17090 White 17193 Corn-belt

Illinois Illinois CRD 10 17010 Whiteside 17195 Corn-belt

Illinois Illinois CRD 20 17020 Will 17197 Corn-belt

Illinois Illinois CRD 80 17080 Williamson 17199 Corn-belt

Illinois Illinois CRD 10 17010 Winnebago 17201 Corn-belt

Illinois Illinois CRD 40 17040 Woodford 17203 Corn-belt

Indiana Indiana CRD 30 18030 Adams 18001 Corn-belt

Indiana Indiana CRD 30 18030 Allen 18003 Corn-belt

Indiana Indiana CRD 50 18050 Bartholomew 18005 Corn-belt

Indiana Indiana CRD 10 18010 Benton 18007 Corn-belt

Indiana Indiana CRD 60 18060 Blackford 18009 Corn-belt

Indiana Indiana CRD 50 18050 Boone 18011 Corn-belt

Indiana Indiana CRD 80 18080 Brown 18013 Corn-belt

Indiana Indiana CRD 20 18020 Carroll 18015 Corn-belt

Indiana Indiana CRD 20 18020 Cass 18017 Corn-belt

Indiana Indiana CRD 90 18090 Clark 18019 Corn-belt
46﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Indiana Indiana CRD 40 18040 Clay 18021 Corn-belt

Indiana Indiana CRD 50 18050 Clinton 18023 Corn-belt

Indiana Indiana CRD 80 18080 Crawford 18025 Corn-belt

Indiana Indiana CRD 70 18070 Daviess 18027 Corn-belt

Indiana Indiana CRD 90 18090 Dearborn 18029 Corn-belt

Indiana Indiana CRD 50 18050 Decatur 18031 Corn-belt

Indiana Indiana CRD 30 18030 De Kalb 18033 Corn-belt

Indiana Indiana CRD 60 18060 Delaware 18035 Corn-belt

Indiana Indiana CRD 70 18070 Dubois 18037 Corn-belt

Indiana Indiana CRD 20 18020 Elkhart 18039 Corn-belt

Indiana Indiana CRD 60 18060 Fayette 18041 Corn-belt

Indiana Indiana CRD 80 18080 Floyd 18043 Corn-belt

Indiana Indiana CRD 40 18040 Fountain 18045 Corn-belt

Indiana Indiana CRD 90 18090 Franklin 18047 Corn-belt

Indiana Indiana CRD 20 18020 Fulton 18049 Corn-belt

Indiana Indiana CRD 70 18070 Gibson 18051 Corn-belt

Indiana Indiana CRD 50 18050 Grant 18053 Corn-belt

Indiana Indiana CRD 70 18070 Greene 18055 Corn-belt

Indiana Indiana CRD 50 18050 Hamilton 18057 Corn-belt

Indiana Indiana CRD 50 18050 Hancock 18059 Corn-belt

Indiana Indiana CRD 80 18080 Harrison 18061 Corn-belt

Indiana Indiana CRD 50 18050 Hendricks 18063 Corn-belt

Indiana Indiana CRD 60 18060 Henry 18065 Corn-belt

Indiana Indiana CRD 50 18050 Howard 18067 Corn-belt

Indiana Indiana CRD 30 18030 Huntington 18069 Corn-belt

Indiana Indiana CRD 80 18080 Jackson 18071 Corn-belt

Indiana Indiana CRD 10 18010 Jasper 18073 Corn-belt

Indiana Indiana CRD 60 18060 Jay 18075 Corn-belt

Indiana Indiana CRD 90 18090 Jefferson 18077 Corn-belt

Indiana Indiana CRD 90 18090 Jennings 18079 Corn-belt

Indiana Indiana CRD 50 18050 Johnson 18081 Corn-belt

Indiana Indiana CRD 70 18070 Knox 18083 Corn-belt

Indiana Indiana CRD 20 18020 Kosciusko 18085 Corn-belt

Indiana Indiana CRD 30 18030 Lagrange 18087 Corn-belt

Indiana Indiana CRD 10 18010 Lake 18089 Corn-belt

Indiana Indiana CRD 10 18010 La Porte 18091 Corn-belt

Indiana Indiana CRD 80 18080 Lawrence 18093 Corn-belt

Indiana Indiana CRD 50 18050 Madison 18095 Corn-belt

Indiana Indiana CRD 50 18050 Marion 18097 Corn-belt

Indiana Indiana CRD 20 18020 Marshall 18099 Corn-belt

Indiana Indiana CRD 70 18070 Martin 18101 Corn-belt

Indiana Indiana CRD 20 18020 Miami 18103 Corn-belt
Tables﻿ ﻿ 47

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Indiana Indiana CRD 80 18080 Monroe 18105 Corn-belt

Indiana Indiana CRD 40 18040 Montgomery 18107 Corn-belt

Indiana Indiana CRD 50 18050 Morgan 18109 Corn-belt

Indiana Indiana CRD 10 18010 Newton 18111 Corn-belt

Indiana Indiana CRD 30 18030 Noble 18113 Corn-belt

Indiana Indiana CRD 90 18090 Ohio 18115 Corn-belt

Indiana Indiana CRD 80 18080 Orange 18117 Corn-belt

Indiana Indiana CRD 40 18040 Owen 18119 Corn-belt

Indiana Indiana CRD 40 18040 Parke 18121 Corn-belt

Indiana Indiana CRD 80 18080 Perry 18123 Corn-belt

Indiana Indiana CRD 70 18070 Pike 18125 Corn-belt

Indiana Indiana CRD 10 18010 Porter 18127 Corn-belt

Indiana Indiana CRD 70 18070 Posey 18129 Corn-belt

Indiana Indiana CRD 10 18010 Pulaski 18131 Corn-belt

Indiana Indiana CRD 40 18040 Putnam 18133 Corn-belt

Indiana Indiana CRD 60 18060 Randolph 18135 Corn-belt

Indiana Indiana CRD 90 18090 Ripley 18137 Corn-belt

Indiana Indiana CRD 50 18050 Rush 18139 Corn-belt

Indiana Indiana CRD 20 18020 St. Joseph 18141 Corn-belt

Indiana Indiana CRD 90 18090 Scott 18143 Corn-belt

Indiana Indiana CRD 50 18050 Shelby 18145 Corn-belt

Indiana Indiana CRD 70 18070 Spencer 18147 Corn-belt

Indiana Indiana CRD 10 18010 Starke 18149 Corn-belt

Indiana Indiana CRD 30 18030 Steuben 18151 Corn-belt

Indiana Indiana CRD 70 18070 Sullivan 18153 Corn-belt

Indiana Indiana CRD 90 18090 Switzerland 18155 Corn-belt

Indiana Indiana CRD 40 18040 Tippecanoe 18157 Corn-belt

Indiana Indiana CRD 50 18050 Tipton 18159 Corn-belt

Indiana Indiana CRD 60 18060 Union 18161 Corn-belt

Indiana Indiana CRD 70 18070 Vanderburgh 18163 Corn-belt

Indiana Indiana CRD 40 18040 Vermillion 18165 Corn-belt

Indiana Indiana CRD 40 18040 Vigo 18167 Corn-belt

Indiana Indiana CRD 20 18020 Wabash 18169 Corn-belt

Indiana Indiana CRD 40 18040 Warren 18171 Corn-belt

Indiana Indiana CRD 70 18070 Warrick 18173 Corn-belt

Indiana Indiana CRD 80 18080 Washington 18175 Corn-belt

Indiana Indiana CRD 60 18060 Wayne 18177 Corn-belt

Indiana Indiana CRD 30 18030 Wells 18179 Corn-belt

Indiana Indiana CRD 10 18010 White 18181 Corn-belt

Indiana Indiana CRD 30 18030 Whitley 18183 Corn-belt

Iowa Iowa CRD 70 19070 Adair 19001 Corn-belt

Iowa Iowa CRD 70 19070 Adams 19003 Corn-belt
48﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Iowa Iowa CRD 30 19030 Allamakee 19005 Corn-belt

Iowa Iowa CRD 80 19080 Appanoose 19007 Corn-belt

Iowa Iowa CRD 40 19040 Audubon 19009 Corn-belt

Iowa Iowa CRD 60 19060 Benton 19011 Corn-belt

Iowa Iowa CRD 30 19030 Black Hawk 19013 Corn-belt

Iowa Iowa CRD 50 19050 Boone 19015 Corn-belt

Iowa Iowa CRD 30 19030 Bremer 19017 Corn-belt

Iowa Iowa CRD 30 19030 Buchanan 19019 Corn-belt

Iowa Iowa CRD 10 19010 Buena Vista 19021 Corn-belt

Iowa Iowa CRD 20 19020 Butler 19023 Corn-belt

Iowa Iowa CRD 40 19040 Calhoun 19025 Corn-belt

Iowa Iowa CRD 40 19040 Carroll 19027 Corn-belt

Iowa Iowa CRD 70 19070 Cass 19029 Corn-belt

Iowa Iowa CRD 60 19060 Cedar 19031 Corn-belt

Iowa Iowa CRD 20 19020 Cerro Gordo 19033 Corn-belt

Iowa Iowa CRD 10 19010 Cherokee 19035 Corn-belt

Iowa Iowa CRD 30 19030 Chickasaw 19037 Corn-belt

Iowa Iowa CRD 80 19080 Clarke 19039 Corn-belt

Iowa Iowa CRD 10 19010 Clay 19041 Corn-belt

Iowa Iowa CRD 30 19030 Clayton 19043 Corn-belt

Iowa Iowa CRD 60 19060 Clinton 19045 Corn-belt

Iowa Iowa CRD 40 19040 Crawford 19047 Corn-belt

Iowa Iowa CRD 50 19050 Dallas 19049 Corn-belt

Iowa Iowa CRD 90 19090 Davis 19051 Corn-belt

Iowa Iowa CRD 80 19080 Decatur 19053 Corn-belt

Iowa Iowa CRD 30 19030 Delaware 19055 Corn-belt

Iowa Iowa CRD 90 19090 Des Moines 19057 Corn-belt

Iowa Iowa CRD 10 19010 Dickinson 19059 Corn-belt

Iowa Iowa CRD 30 19030 Dubuque 19061 Corn-belt

Iowa Iowa CRD 10 19010 Emmet 19063 Corn-belt

Iowa Iowa CRD 30 19030 Fayette 19065 Corn-belt

Iowa Iowa CRD 20 19020 Floyd 19067 Corn-belt

Iowa Iowa CRD 20 19020 Franklin 19069 Corn-belt

Iowa Iowa CRD 70 19070 Fremont 19071 Corn-belt

Iowa Iowa CRD 40 19040 Greene 19073 Corn-belt

Iowa Iowa CRD 50 19050 Grundy 19075 Corn-belt

Iowa Iowa CRD 40 19040 Guthrie 19077 Corn-belt

Iowa Iowa CRD 50 19050 Hamilton 19079 Corn-belt

Iowa Iowa CRD 20 19020 Hancock 19081 Corn-belt

Iowa Iowa CRD 50 19050 Hardin 19083 Corn-belt

Iowa Iowa CRD 40 19040 Harrison 19085 Corn-belt

Iowa Iowa CRD 90 19090 Henry 19087 Corn-belt
Tables﻿ ﻿ 49

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Iowa Iowa CRD 30 19030 Howard 19089 Corn-belt

Iowa Iowa CRD 20 19020 Humboldt 19091 Corn-belt

Iowa Iowa CRD 40 19040 Ida 19093 Corn-belt

Iowa Iowa CRD 60 19060 Iowa 19095 Corn-belt

Iowa Iowa CRD 60 19060 Jackson 19097 Corn-belt

Iowa Iowa CRD 50 19050 Jasper 19099 Corn-belt

Iowa Iowa CRD 90 19090 Jefferson 19101 Corn-belt

Iowa Iowa CRD 60 19060 Johnson 19103 Corn-belt

Iowa Iowa CRD 60 19060 Jones 19105 Corn-belt

Iowa Iowa CRD 90 19090 Keokuk 19107 Corn-belt

Iowa Iowa CRD 20 19020 Kossuth 19109 Corn-belt

Iowa Iowa CRD 90 19090 Lee 19111 Corn-belt

Iowa Iowa CRD 60 19060 Linn 19113 Corn-belt

Iowa Iowa CRD 90 19090 Louisa 19115 Corn-belt

Iowa Iowa CRD 80 19080 Lucas 19117 Corn-belt

Iowa Iowa CRD 10 19010 Lyon 19119 Corn-belt

Iowa Iowa CRD 80 19080 Madison 19121 Corn-belt

Iowa Iowa CRD 90 19090 Mahaska 19123 Corn-belt

Iowa Iowa CRD 80 19080 Marion 19125 Corn-belt

Iowa Iowa CRD 50 19050 Marshall 19127 Corn-belt

Iowa Iowa CRD 70 19070 Mills 19129 Corn-belt

Iowa Iowa CRD 20 19020 Mitchell 19131 Corn-belt

Iowa Iowa CRD 40 19040 Monona 19133 Corn-belt

Iowa Iowa CRD 80 19080 Monroe 19135 Corn-belt

Iowa Iowa CRD 70 19070 Montgomery 19137 Corn-belt

Iowa Iowa CRD 60 19060 Muscatine 19139 Corn-belt

Iowa Iowa CRD 10 19010 O'Brien 19141 Corn-belt

Iowa Iowa CRD 10 19010 Osceola 19143 Corn-belt

Iowa Iowa CRD 70 19070 Page 19145 Corn-belt

Iowa Iowa CRD 10 19010 Palo Alto 19147 Corn-belt

Iowa Iowa CRD 10 19010 Plymouth 19149 Corn-belt

Iowa Iowa CRD 10 19010 Pocahontas 19151 Corn-belt

Iowa Iowa CRD 50 19050 Polk 19153 Corn-belt

Iowa Iowa CRD 70 19070 Pottawattamie 19155 Corn-belt

Iowa Iowa CRD 50 19050 Poweshiek 19157 Corn-belt

Iowa Iowa CRD 80 19080 Ringgold 19159 Corn-belt

Iowa Iowa CRD 40 19040 Sac 19161 Corn-belt

Iowa Iowa CRD 60 19060 Scott 19163 Corn-belt

Iowa Iowa CRD 40 19040 Shelby 19165 Corn-belt

Iowa Iowa CRD 10 19010 Sioux 19167 Corn-belt

Iowa Iowa CRD 50 19050 Story 19169 Corn-belt

Iowa Iowa CRD 50 19050 Tama 19171 Corn-belt
50﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Iowa Iowa CRD 70 19070 Taylor 19173 Corn-belt

Iowa Iowa CRD 80 19080 Union 19175 Corn-belt

Iowa Iowa CRD 90 19090 Van Buren 19177 Corn-belt

Iowa Iowa CRD 90 19090 Wapello 19179 Corn-belt

Iowa Iowa CRD 80 19080 Warren 19181 Corn-belt

Iowa Iowa CRD 90 19090 Washington 19183 Corn-belt

Iowa Iowa CRD 80 19080 Wayne 19185 Corn-belt

Iowa Iowa CRD 50 19050 Webster 19187 Corn-belt

Iowa Iowa CRD 20 19020 Winnebago 19189 Corn-belt

Iowa Iowa CRD 30 19030 Winneshiek 19191 Corn-belt

Iowa Iowa CRD 40 19040 Woodbury 19193 Corn-belt

Iowa Iowa CRD 20 19020 Worth 19195 Corn-belt

Iowa Iowa CRD 20 19020 Wright 19197 Corn-belt

Kansas Kansas CRD 90 20090 Allen 20001 Northern-plains

Kansas Kansas CRD 80 20080 Anderson 20003 Northern-plains

Kansas Kansas CRD 70 20070 Atchison 20005 Northern-plains

Kansas Kansas CRD 60 20060 Barber 20007 Northern-plains

Kansas Kansas CRD 50 20050 Barton 20009 Northern-plains

Kansas Kansas CRD 90 20090 Bourbon 20011 Northern-plains

Kansas Kansas CRD 70 20070 Brown 20013 Northern-plains

Kansas Kansas CRD 90 20090 Butler 20015 Northern-plains

Kansas Kansas CRD 80 20080 Chase 20017 Northern-plains

Kansas Kansas CRD 90 20090 Chautauqua 20019 Northern-plains

Kansas Kansas CRD 90 20090 Cherokee 20021 Northern-plains

Kansas Kansas CRD 10 20010 Cheyenne 20023 Northern-plains

Kansas Kansas CRD 30 20030 Clark 20025 Northern-plains

Kansas Kansas CRD 40 20040 Clay 20027 Northern-plains

Kansas Kansas CRD 40 20040 Cloud 20029 Northern-plains

Kansas Kansas CRD 80 20080 Coffey 20031 Northern-plains

Kansas Kansas CRD 60 20060 Comanche 20033 Northern-plains

Kansas Kansas CRD 90 20090 Cowley 20035 Northern-plains

Kansas Kansas CRD 90 20090 Crawford 20037 Northern-plains

Kansas Kansas CRD 10 20010 Decatur 20039 Northern-plains

Kansas Kansas CRD 50 20050 Dickinson 20041 Northern-plains

Kansas Kansas CRD 70 20070 Doniphan 20043 Northern-plains

Kansas Kansas CRD 80 20080 Douglas 20045 Northern-plains

Kansas Kansas CRD 60 20060 Edwards 20047 Northern-plains

Kansas Kansas CRD 90 20090 Elk 20049 Northern-plains

Kansas Kansas CRD 50 20050 Ellis 20051 Northern-plains

Kansas Kansas CRD 50 20050 Ellsworth 20053 Northern-plains

Kansas Kansas CRD 30 20030 Finney 20055 Northern-plains

Kansas Kansas CRD 30 20030 Ford 20057 Northern-plains
Tables﻿ ﻿ 51

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Kansas Kansas CRD 80 20080 Franklin 20059 Northern-plains

Kansas Kansas CRD 80 20080 Geary 20061 Northern-plains

Kansas Kansas CRD 20 20020 Gove 20063 Northern-plains

Kansas Kansas CRD 10 20010 Graham 20065 Northern-plains

Kansas Kansas CRD 30 20030 Grant 20067 Northern-plains

Kansas Kansas CRD 30 20030 Gray 20069 Northern-plains

Kansas Kansas CRD 20 20020 Greeley 20071 Northern-plains

Kansas Kansas CRD 90 20090 Greenwood 20073 Northern-plains

Kansas Kansas CRD 30 20030 Hamilton 20075 Northern-plains

Kansas Kansas CRD 60 20060 Harper 20077 Northern-plains

Kansas Kansas CRD 60 20060 Harvey 20079 Northern-plains

Kansas Kansas CRD 30 20030 Haskell 20081 Northern-plains

Kansas Kansas CRD 30 20030 Hodgeman 20083 Northern-plains

Kansas Kansas CRD 70 20070 Jackson 20085 Northern-plains

Kansas Kansas CRD 70 20070 Jefferson 20087 Northern-plains

Kansas Kansas CRD 40 20040 Jewell 20089 Northern-plains

Kansas Kansas CRD 80 20080 Johnson 20091 Northern-plains

Kansas Kansas CRD 30 20030 Kearny 20093 Northern-plains

Kansas Kansas CRD 60 20060 Kingman 20095 Northern-plains

Kansas Kansas CRD 60 20060 Kiowa 20097 Northern-plains

Kansas Kansas CRD 90 20090 Labette 20099 Northern-plains

Kansas Kansas CRD 20 20020 Lane 20101 Northern-plains

Kansas Kansas CRD 70 20070 Leavenworth 20103 Northern-plains

Kansas Kansas CRD 50 20050 Lincoln 20105 Northern-plains

Kansas Kansas CRD 80 20080 Linn 20107 Northern-plains

Kansas Kansas CRD 20 20020 Logan 20109 Northern-plains

Kansas Kansas CRD 80 20080 Lyon 20111 Northern-plains

Kansas Kansas CRD 50 20050 McPherson 20113 Northern-plains

Kansas Kansas CRD 50 20050 Marion 20115 Northern-plains

Kansas Kansas CRD 70 20070 Marshall 20117 Northern-plains

Kansas Kansas CRD 30 20030 Meade 20119 Northern-plains

Kansas Kansas CRD 80 20080 Miami 20121 Northern-plains

Kansas Kansas CRD 40 20040 Mitchell 20123 Northern-plains

Kansas Kansas CRD 90 20090 Montgomery 20125 Northern-plains

Kansas Kansas CRD 80 20080 Morris 20127 Northern-plains

Kansas Kansas CRD 30 20030 Morton 20129 Northern-plains

Kansas Kansas CRD 70 20070 Nemaha 20131 Northern-plains

Kansas Kansas CRD 90 20090 Neosho 20133 Northern-plains

Kansas Kansas CRD 20 20020 Ness 20135 Northern-plains

Kansas Kansas CRD 10 20010 Norton 20137 Northern-plains

Kansas Kansas CRD 80 20080 Osage 20139 Northern-plains

Kansas Kansas CRD 40 20040 Osborne 20141 Northern-plains
52﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Kansas Kansas CRD 40 20040 Ottawa 20143 Northern-plains

Kansas Kansas CRD 60 20060 Pawnee 20145 Northern-plains

Kansas Kansas CRD 40 20040 Phillips 20147 Northern-plains

Kansas Kansas CRD 70 20070 Pottawatomie 20149 Northern-plains

Kansas Kansas CRD 60 20060 Pratt 20151 Northern-plains

Kansas Kansas CRD 10 20010 Rawlins 20153 Northern-plains

Kansas Kansas CRD 60 20060 Reno 20155 Northern-plains

Kansas Kansas CRD 40 20040 Republic 20157 Northern-plains

Kansas Kansas CRD 50 20050 Rice 20159 Northern-plains

Kansas Kansas CRD 70 20070 Riley 20161 Northern-plains

Kansas Kansas CRD 40 20040 Rooks 20163 Northern-plains

Kansas Kansas CRD 50 20050 Rush 20165 Northern-plains

Kansas Kansas CRD 50 20050 Russell 20167 Northern-plains

Kansas Kansas CRD 50 20050 Saline 20169 Northern-plains

Kansas Kansas CRD 20 20020 Scott 20171 Northern-plains

Kansas Kansas CRD 60 20060 Sedgwick 20173 Northern-plains

Kansas Kansas CRD 30 20030 Seward 20175 Northern-plains

Kansas Kansas CRD 80 20080 Shawnee 20177 Northern-plains

Kansas Kansas CRD 10 20010 Sheridan 20179 Northern-plains

Kansas Kansas CRD 10 20010 Sherman 20181 Northern-plains

Kansas Kansas CRD 40 20040 Smith 20183 Northern-plains

Kansas Kansas CRD 60 20060 Stafford 20185 Northern-plains

Kansas Kansas CRD 30 20030 Stanton 20187 Northern-plains

Kansas Kansas CRD 30 20030 Stevens 20189 Northern-plains

Kansas Kansas CRD 60 20060 Sumner 20191 Northern-plains

Kansas Kansas CRD 10 20010 Thomas 20193 Northern-plains

Kansas Kansas CRD 20 20020 Trego 20195 Northern-plains

Kansas Kansas CRD 80 20080 Wabaunsee 20197 Northern-plains

Kansas Kansas CRD 20 20020 Wallace 20199 Northern-plains

Kansas Kansas CRD 40 20040 Washington 20201 Northern-plains

Kansas Kansas CRD 20 20020 Wichita 20203 Northern-plains

Kansas Kansas CRD 90 20090 Wilson 20205 Northern-plains

Kansas Kansas CRD 90 20090 Woodson 20207 Northern-plains

Kansas Kansas CRD 70 20070 Wyandotte 20209 Northern-plains

Kentucky Kentucky CRD 30 21030 Adair 21001 Appalachian

Kentucky Kentucky CRD 30 21030 Allen 21003 Appalachian

Kentucky Kentucky CRD 50 21050 Anderson 21005 Appalachian

Kentucky Kentucky CRD 10 21010 Ballard 21007 Appalachian

Kentucky Kentucky CRD 30 21030 Barren 21009 Appalachian

Kentucky Kentucky CRD 50 21050 Bath 21011 Appalachian

Kentucky Kentucky CRD 60 21060 Bell 21013 Appalachian

Kentucky Kentucky CRD 40 21040 Boone 21015 Appalachian
Tables﻿ ﻿ 53

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Kentucky Kentucky CRD 50 21050 Bourbon 21017 Appalachian

Kentucky Kentucky CRD 60 21060 Boyd 21019 Appalachian

Kentucky Kentucky CRD 50 21050 Boyle 21021 Appalachian

Kentucky Kentucky CRD 40 21040 Bracken 21023 Appalachian

Kentucky Kentucky CRD 60 21060 Breathitt 21025 Appalachian

Kentucky Kentucky CRD 30 21030 Breckinridge 21027 Appalachian

Kentucky Kentucky CRD 30 21030 Bullitt 21029 Appalachian

Kentucky Kentucky CRD 30 21030 Butler 21031 Appalachian

Kentucky Kentucky CRD 20 21020 Caldwell 21033 Appalachian

Kentucky Kentucky CRD 10 21010 Calloway 21035 Appalachian

Kentucky Kentucky CRD 40 21040 Campbell 21037 Appalachian

Kentucky Kentucky CRD 10 21010 Carlisle 21039 Appalachian

Kentucky Kentucky CRD 40 21040 Carroll 21041 Appalachian

Kentucky Kentucky CRD 60 21060 Carter 21043 Appalachian

Kentucky Kentucky CRD 30 21030 Casey 21045 Appalachian

Kentucky Kentucky CRD 20 21020 Christian 21047 Appalachian

Kentucky Kentucky CRD 50 21050 Clark 21049 Appalachian

Kentucky Kentucky CRD 60 21060 Clay 21051 Appalachian

Kentucky Kentucky CRD 30 21030 Clinton 21053 Appalachian

Kentucky Kentucky CRD 20 21020 Crittenden 21055 Appalachian

Kentucky Kentucky CRD 30 21030 Cumberland 21057 Appalachian

Kentucky Kentucky CRD 20 21020 Daviess 21059 Appalachian

Kentucky Kentucky CRD 30 21030 Edmonson 21061 Appalachian

Kentucky Kentucky CRD 60 21060 Elliott 21063 Appalachian

Kentucky Kentucky CRD 60 21060 Estill 21065 Appalachian

Kentucky Kentucky CRD 50 21050 Fayette 21067 Appalachian

Kentucky Kentucky CRD 50 21050 Fleming 21069 Appalachian

Kentucky Kentucky CRD 60 21060 Floyd 21071 Appalachian

Kentucky Kentucky CRD 50 21050 Franklin 21073 Appalachian

Kentucky Kentucky CRD 10 21010 Fulton 21075 Appalachian

Kentucky Kentucky CRD 40 21040 Gallatin 21077 Appalachian

Kentucky Kentucky CRD 50 21050 Garrard 21079 Appalachian

Kentucky Kentucky CRD 40 21040 Grant 21081 Appalachian

Kentucky Kentucky CRD 10 21010 Graves 21083 Appalachian

Kentucky Kentucky CRD 30 21030 Grayson 21085 Appalachian

Kentucky Kentucky CRD 30 21030 Green 21087 Appalachian

Kentucky Kentucky CRD 60 21060 Greenup 21089 Appalachian

Kentucky Kentucky CRD 20 21020 Hancock 21091 Appalachian

Kentucky Kentucky CRD 30 21030 Hardin 21093 Appalachian

Kentucky Kentucky CRD 60 21060 Harlan 21095 Appalachian

Kentucky Kentucky CRD 50 21050 Harrison 21097 Appalachian

Kentucky Kentucky CRD 30 21030 Hart 21099 Appalachian
54﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Kentucky Kentucky CRD 20 21020 Henderson 21101 Appalachian

Kentucky Kentucky CRD 40 21040 Henry 21103 Appalachian

Kentucky Kentucky CRD 10 21010 Hickman 21105 Appalachian

Kentucky Kentucky CRD 20 21020 Hopkins 21107 Appalachian

Kentucky Kentucky CRD 60 21060 Jackson 21109 Appalachian

Kentucky Kentucky CRD 30 21030 Jefferson 21111 Appalachian

Kentucky Kentucky CRD 50 21050 Jessamine 21113 Appalachian

Kentucky Kentucky CRD 60 21060 Johnson 21115 Appalachian

Kentucky Kentucky CRD 40 21040 Kenton 21117 Appalachian

Kentucky Kentucky CRD 60 21060 Knott 21119 Appalachian

Kentucky Kentucky CRD 60 21060 Knox 21121 Appalachian

Kentucky Kentucky CRD 30 21030 Larue 21123 Appalachian

Kentucky Kentucky CRD 60 21060 Laurel 21125 Appalachian

Kentucky Kentucky CRD 60 21060 Lawrence 21127 Appalachian

Kentucky Kentucky CRD 60 21060 Lee 21129 Appalachian

Kentucky Kentucky CRD 60 21060 Leslie 21131 Appalachian

Kentucky Kentucky CRD 60 21060 Letcher 21133 Appalachian

Kentucky Kentucky CRD 60 21060 Lewis 21135 Appalachian

Kentucky Kentucky CRD 50 21050 Lincoln 21137 Appalachian

Kentucky Kentucky CRD 10 21010 Livingston 21139 Appalachian

Kentucky Kentucky CRD 20 21020 Logan 21141 Appalachian

Kentucky Kentucky CRD 10 21010 Lyon 21143 Appalachian

Kentucky Kentucky CRD 10 21010 McCracken 21145 Appalachian

Kentucky Kentucky CRD 60 21060 McCreary 21147 Appalachian

Kentucky Kentucky CRD 20 21020 McLean 21149 Appalachian

Kentucky Kentucky CRD 50 21050 Madison 21151 Appalachian

Kentucky Kentucky CRD 60 21060 Magoffin 21153 Appalachian

Kentucky Kentucky CRD 30 21030 Marion 21155 Appalachian

Kentucky Kentucky CRD 10 21010 Marshall 21157 Appalachian

Kentucky Kentucky CRD 60 21060 Martin 21159 Appalachian

Kentucky Kentucky CRD 50 21050 Mason 21161 Appalachian

Kentucky Kentucky CRD 30 21030 Meade 21163 Appalachian

Kentucky Kentucky CRD 60 21060 Menifee 21165 Appalachian

Kentucky Kentucky CRD 50 21050 Mercer 21167 Appalachian

Kentucky Kentucky CRD 30 21030 Metcalfe 21169 Appalachian

Kentucky Kentucky CRD 30 21030 Monroe 21171 Appalachian

Kentucky Kentucky CRD 50 21050 Montgomery 21173 Appalachian

Kentucky Kentucky CRD 60 21060 Morgan 21175 Appalachian

Kentucky Kentucky CRD 20 21020 Muhlenberg 21177 Appalachian

Kentucky Kentucky CRD 30 21030 Nelson 21179 Appalachian

Kentucky Kentucky CRD 50 21050 Nicholas 21181 Appalachian

Kentucky Kentucky CRD 20 21020 Ohio 21183 Appalachian
Tables﻿ ﻿ 55

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Kentucky Kentucky CRD 40 21040 Oldham 21185 Appalachian

Kentucky Kentucky CRD 40 21040 Owen 21187 Appalachian

Kentucky Kentucky CRD 60 21060 Owsley 21189 Appalachian

Kentucky Kentucky CRD 40 21040 Pendleton 21191 Appalachian

Kentucky Kentucky CRD 60 21060 Perry 21193 Appalachian

Kentucky Kentucky CRD 60 21060 Pike 21195 Appalachian

Kentucky Kentucky CRD 60 21060 Powell 21197 Appalachian

Kentucky Kentucky CRD 60 21060 Pulaski 21199 Appalachian

Kentucky Kentucky CRD 50 21050 Robertson 21201 Appalachian

Kentucky Kentucky CRD 60 21060 Rockcastle 21203 Appalachian

Kentucky Kentucky CRD 60 21060 Rowan 21205 Appalachian

Kentucky Kentucky CRD 30 21030 Russell 21207 Appalachian

Kentucky Kentucky CRD 50 21050 Scott 21209 Appalachian

Kentucky Kentucky CRD 50 21050 Shelby 21211 Appalachian

Kentucky Kentucky CRD 20 21020 Simpson 21213 Appalachian

Kentucky Kentucky CRD 50 21050 Spencer 21215 Appalachian

Kentucky Kentucky CRD 30 21030 Taylor 21217 Appalachian

Kentucky Kentucky CRD 20 21020 Todd 21219 Appalachian

Kentucky Kentucky CRD 10 21010 Trigg 21221 Appalachian

Kentucky Kentucky CRD 40 21040 Trimble 21223 Appalachian

Kentucky Kentucky CRD 20 21020 Union 21225 Appalachian

Kentucky Kentucky CRD 30 21030 Warren 21227 Appalachian

Kentucky Kentucky CRD 50 21050 Washington 21229 Appalachian

Kentucky Kentucky CRD 60 21060 Wayne 21231 Appalachian

Kentucky Kentucky CRD 20 21020 Webster 21233 Appalachian

Kentucky Kentucky CRD 60 21060 Whitley 21235 Appalachian

Kentucky Kentucky CRD 60 21060 Wolfe 21237 Appalachian

Kentucky Kentucky CRD 50 21050 Woodford 21239 Appalachian

Louisiana Louisiana CRD 70 22070 Acadia 22001 Delta

Louisiana Louisiana CRD 70 22070 Allen 22003 Delta

Louisiana Louisiana CRD 90 22090 Ascension 22005 Delta

Louisiana Louisiana CRD 80 22080 Assumption 22007 Delta

Louisiana Louisiana CRD 50 22050 Avoyelles 22009 Delta

Louisiana Louisiana CRD 70 22070 Beauregard 22011 Delta

Louisiana Louisiana CRD 20 22020 Bienville 22013 Delta

Louisiana Louisiana CRD 10 22010 Bossier 22015 Delta

Louisiana Louisiana CRD 10 22010 Caddo 22017 Delta

Louisiana Louisiana CRD 70 22070 Calcasieu 22019 Delta

Louisiana Louisiana CRD 20 22020 Caldwell 22021 Delta

Louisiana Louisiana CRD 70 22070 Cameron 22023 Delta

Louisiana Louisiana CRD 50 22050 Catahoula 22025 Delta

Louisiana Louisiana CRD 20 22020 Claiborne 22027 Delta
56﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Louisiana Louisiana CRD 50 22050 Concordia 22029 Delta

Louisiana Louisiana CRD 10 22010 De Soto 22031 Delta

Louisiana Louisiana CRD 60 22060 East Baton Rouge 22033 Delta

Louisiana Louisiana CRD 30 22030 East Carroll 22035 Delta

Louisiana Louisiana CRD 60 22060 East Feliciana 22037 Delta

Louisiana Louisiana CRD 50 22050 Evangeline 22039 Delta

Louisiana Louisiana CRD 30 22030 Franklin 22041 Delta

Louisiana Louisiana CRD 50 22050 Grant 22043 Delta

Louisiana Louisiana CRD 80 22080 Iberia 22045 Delta

Louisiana Louisiana CRD 80 22080 Iberville 22047 Delta

Louisiana Louisiana CRD 20 22020 Jackson 22049 Delta

Louisiana Louisiana CRD 90 22090 Jefferson 22051 Delta

Louisiana Louisiana CRD 70 22070 Jefferson Davis 22053 Delta

Louisiana Louisiana CRD 80 22080 Lafayette 22055 Delta

Louisiana Louisiana CRD 90 22090 Lafourche 22057 Delta

Louisiana Louisiana CRD 50 22050 La Salle 22059 Delta

Louisiana Louisiana CRD 20 22020 Lincoln 22061 Delta

Louisiana Louisiana CRD 60 22060 Livingston 22063 Delta

Louisiana Louisiana CRD 30 22030 Madison 22065 Delta

Louisiana Louisiana CRD 30 22030 Morehouse 22067 Delta

Louisiana Louisiana CRD 40 22040 Natchitoches 22069 Delta

Louisiana Louisiana CRD 90 22090 Orleans 22071 Delta

Louisiana Louisiana CRD 20 22020 Ouachita 22073 Delta

Louisiana Louisiana CRD 90 22090 Plaquemines 22075 Delta

Louisiana Louisiana CRD 50 22050 Pointe Coupee 22077 Delta

Louisiana Louisiana CRD 50 22050 Rapides 22079 Delta

Louisiana Louisiana CRD 10 22010 Red River 22081 Delta

Louisiana Louisiana CRD 30 22030 Richland 22083 Delta

Louisiana Louisiana CRD 40 22040 Sabine 22085 Delta

Louisiana Louisiana CRD 90 22090 St. Bernard 22087 Delta

Louisiana Louisiana CRD 90 22090 St. Charles 22089 Delta

Louisiana Louisiana CRD 60 22060 St. Helena 22091 Delta

Louisiana Louisiana CRD 90 22090 St. James 22093 Delta

Louisiana Louisiana CRD 90 22090 St. John the Baptist 22095 Delta

Louisiana Louisiana CRD 50 22050 St. Landry 22097 Delta

Louisiana Louisiana CRD 80 22080 St. Martin 22099 Delta

Louisiana Louisiana CRD 80 22080 St. Mary 22101 Delta

Louisiana Louisiana CRD 60 22060 St. Tammany 22103 Delta

Louisiana Louisiana CRD 60 22060 Tangipahoa 22105 Delta

Louisiana Louisiana CRD 30 22030 Tensas 22107 Delta

Louisiana Louisiana CRD 90 22090 Terrebonne 22109 Delta

Louisiana Louisiana CRD 20 22020 Union 22111 Delta
Tables﻿ ﻿ 57

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Louisiana Louisiana CRD 70 22070 Vermilion 22113 Delta

Louisiana Louisiana CRD 40 22040 Vernon 22115 Delta

Louisiana Louisiana CRD 60 22060 Washington 22117 Delta

Louisiana Louisiana CRD 10 22010 Webster 22119 Delta

Louisiana Louisiana CRD 50 22050 West Baton Rouge 22121 Delta

Louisiana Louisiana CRD 30 22030 West Carroll 22123 Delta

Louisiana Louisiana CRD 60 22060 West feliciana 22125 Delta

Louisiana Louisiana CRD 20 22020 Winn 22127 Delta

Maine Maine CRD 30 23030 Androscoggin 23001 Northeast

Maine Maine CRD 10 23010 Aroostook 23003 Northeast

Maine Maine CRD 30 23030 Cumberland 23005 Northeast

Maine Maine CRD 30 23030 Franklin 23007 Northeast

Maine Maine CRD 20 23020 Hancock 23009 Northeast

Maine Maine CRD 30 23030 Kennebec 23011 Northeast

Maine Maine CRD 30 23030 Knox 23013 Northeast

Maine Maine CRD 30 23030 Lincoln 23015 Northeast

Maine Maine CRD 30 23030 Oxford 23017 Northeast

Maine Maine CRD 20 23020 Penobscot 23019 Northeast

Maine Maine CRD 20 23020 Piscataquis 23021 Northeast

Maine Maine CRD 30 23030 Sagadahoc 23023 Northeast

Maine Maine CRD 20 23020 Somerset 23025 Northeast

Maine Maine CRD 20 23020 Waldo 23027 Northeast

Maine Maine CRD 20 23020 Washington 23029 Northeast

Maine Maine CRD 30 23030 York 23031 Northeast

Maryland Maryland CRD 10 24010 Allegany 24001 Northeast

Maryland Maryland CRD 80 24080 Anne Arundel 24003 Northeast

Maryland Maryland CRD 20 24020 Baltimore 24005 Northeast

Maryland Maryland CRD 80 24080 Calvert 24009 Northeast

Maryland Maryland CRD 30 24030 Caroline 24011 Northeast

Maryland Maryland CRD 20 24020 Carroll 24013 Northeast

Maryland Maryland CRD 30 24030 Cecil 24015 Northeast

Maryland Maryland CRD 80 24080 Charles 24017 Northeast

Maryland Maryland CRD 90 24090 Dorchester 24019 Northeast

Maryland Maryland CRD 20 24020 Frederick 24021 Northeast

Maryland Maryland CRD 10 24010 Garrett 24023 Northeast

Maryland Maryland CRD 20 24020 Harford 24025 Northeast

Maryland Maryland CRD 20 24020 Howard 24027 Northeast

Maryland Maryland CRD 30 24030 Kent 24029 Northeast

Maryland Maryland CRD 20 24020 Montgomery 24031 Northeast

Maryland Maryland CRD 80 24080 Prince George's 24033 Northeast

Maryland Maryland CRD 30 24030 Queen Anne's 24035 Northeast

Maryland Maryland CRD 80 24080 St. Mary's 24037 Northeast
58﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Maryland Maryland CRD 90 24090 Somerset 24039 Northeast

Maryland Maryland CRD 30 24030 Talbot 24041 Northeast

Maryland Maryland CRD 20 24020 Washington 24043 Northeast

Maryland Maryland CRD 90 24090 Wicomico 24045 Northeast

Maryland Maryland CRD 90 24090 Worcester 24047 Northeast

Maryland Maryland CRD 20 24020 Baltimore 24510 Northeast

Massachusetts Massachusetts CRD 10 25010 Barnstable 25001 Northeast

Massachusetts Massachusetts CRD 10 25010 Berkshire 25003 Northeast

Massachusetts Massachusetts CRD 10 25010 Bristol 25005 Northeast

Massachusetts Massachusetts CRD 10 25010 Dukes 25007 Northeast

Massachusetts Massachusetts CRD 10 25010 Essex 25009 Northeast

Massachusetts Massachusetts CRD 10 25010 Franklin 25011 Northeast

Massachusetts Massachusetts CRD 10 25010 Hampden 25013 Northeast

Massachusetts Massachusetts CRD 10 25010 Hampshire 25015 Northeast

Massachusetts Massachusetts CRD 10 25010 Middlesex 25017 Northeast

Massachusetts Massachusetts CRD 10 25010 Nantucket 25019 Northeast

Massachusetts Massachusetts CRD 10 25010 Norfolk 25021 Northeast

Massachusetts Massachusetts CRD 10 25010 Plymouth 25023 Northeast

Massachusetts Massachusetts CRD 10 25010 Suffolk 25025 Northeast

Massachusetts Massachusetts CRD 10 25010 Worcester 25027 Northeast

Michigan Michigan CRD 30 26030 Alcona 26001 Lake-states

Michigan Michigan CRD 10 26010 Alger 26003 Lake-states

Michigan Michigan CRD 70 26070 Allegan 26005 Lake-states

Michigan Michigan CRD 30 26030 Alpena 26007 Lake-states

Michigan Michigan CRD 20 26020 Antrim 26009 Lake-states

Michigan Michigan CRD 60 26060 Arenac 26011 Lake-states

Michigan Michigan CRD 10 26010 Baraga 26013 Lake-states

Michigan Michigan CRD 80 26080 Barry 26015 Lake-states

Michigan Michigan CRD 60 26060 Bay 26017 Lake-states

Michigan Michigan CRD 20 26020 Benzie 26019 Lake-states

Michigan Michigan CRD 70 26070 Berrien 26021 Lake-states

Michigan Michigan CRD 80 26080 Branch 26023 Lake-states

Michigan Michigan CRD 80 26080 Calhoun 26025 Lake-states

Michigan Michigan CRD 70 26070 Cass 26027 Lake-states

Michigan Michigan CRD 20 26020 Charlevoix 26029 Lake-states

Michigan Michigan CRD 30 26030 Cheboygan 26031 Lake-states

Michigan Michigan CRD 10 26010 Chippewa 26033 Lake-states

Michigan Michigan CRD 50 26050 Clare 26035 Lake-states

Michigan Michigan CRD 80 26080 Clinton 26037 Lake-states

Michigan Michigan CRD 30 26030 Crawford 26039 Lake-states

Michigan Michigan CRD 10 26010 Delta 26041 Lake-states

Michigan Michigan CRD 10 26010 Dickinson 26043 Lake-states
Tables﻿ ﻿ 59

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Michigan Michigan CRD 80 26080 Eaton 26045 Lake-states

Michigan Michigan CRD 20 26020 Emmet 26047 Lake-states

Michigan Michigan CRD 90 26090 Genesee 26049 Lake-states

Michigan Michigan CRD 50 26050 Gladwin 26051 Lake-states

Michigan Michigan CRD 10 26010 Gogebic 26053 Lake-states

Michigan Michigan CRD 20 26020 Grand Traverse 26055 Lake-states

Michigan Michigan CRD 50 26050 Gratiot 26057 Lake-states

Michigan Michigan CRD 80 26080 Hillsdale 26059 Lake-states

Michigan Michigan CRD 10 26010 Houghton 26061 Lake-states

Michigan Michigan CRD 60 26060 Huron 26063 Lake-states

Michigan Michigan CRD 80 26080 Ingham 26065 Lake-states

Michigan Michigan CRD 80 26080 Ionia 26067 Lake-states

Michigan Michigan CRD 30 26030 Iosco 26069 Lake-states

Michigan Michigan CRD 10 26010 Iron 26071 Lake-states

Michigan Michigan CRD 50 26050 Isabella 26073 Lake-states

Michigan Michigan CRD 80 26080 Jackson 26075 Lake-states

Michigan Michigan CRD 70 26070 Kalamazoo 26077 Lake-states

Michigan Michigan CRD 20 26020 Kalkaska 26079 Lake-states

Michigan Michigan CRD 70 26070 Kent 26081 Lake-states

Michigan Michigan CRD 10 26010 Keweenaw 26083 Lake-states

Michigan Michigan CRD 40 26040 Lake 26085 Lake-states

Michigan Michigan CRD 90 26090 Lapeer 26087 Lake-states

Michigan Michigan CRD 20 26020 Leelanau 26089 Lake-states

Michigan Michigan CRD 90 26090 Lenawee 26091 Lake-states

Michigan Michigan CRD 90 26090 Livingston 26093 Lake-states

Michigan Michigan CRD 10 26010 Luce 26095 Lake-states

Michigan Michigan CRD 10 26010 Mackinac 26097 Lake-states

Michigan Michigan CRD 90 26090 Macomb 26099 Lake-states

Michigan Michigan CRD 20 26020 Manistee 26101 Lake-states

Michigan Michigan CRD 10 26010 Marquette 26103 Lake-states

Michigan Michigan CRD 40 26040 Mason 26105 Lake-states

Michigan Michigan CRD 50 26050 Mecosta 26107 Lake-states

Michigan Michigan CRD 10 26010 Menominee 26109 Lake-states

Michigan Michigan CRD 50 26050 Midland 26111 Lake-states

Michigan Michigan CRD 20 26020 Missaukee 26113 Lake-states

Michigan Michigan CRD 90 26090 Monroe 26115 Lake-states

Michigan Michigan CRD 50 26050 Montcalm 26117 Lake-states

Michigan Michigan CRD 30 26030 Montmorency 26119 Lake-states

Michigan Michigan CRD 40 26040 Presque Isle 26121 Lake-states

Michigan Michigan CRD 40 26040 Newaygo 26123 Lake-states

Michigan Michigan CRD 90 26090 Oakland 26125 Lake-states

Michigan Michigan CRD 40 26040 Oceana 26127 Lake-states
60﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Michigan Michigan CRD 30 26030 Ogemaw 26129 Lake-states

Michigan Michigan CRD 10 26010 Ontonagon 26131 Lake-states

Michigan Michigan CRD 50 26050 Osceola 26133 Lake-states

Michigan Michigan CRD 30 26030 Oscoda 26135 Lake-states

Michigan Michigan CRD 30 26030 Otsego 26137 Lake-states

Michigan Michigan CRD 70 26070 Ottawa 26139 Lake-states

Michigan Michigan CRD 30 26030 Presque Isle 26141 Lake-states

Michigan Michigan CRD 30 26030 Roscommon 26143 Lake-states

Michigan Michigan CRD 60 26060 Saginaw 26145 Lake-states

Michigan Michigan CRD 90 26090 St. Clair 26147 Lake-states

Michigan Michigan CRD 80 26080 St. Joseph 26149 Lake-states

Michigan Michigan CRD 60 26060 Sanilac 26151 Lake-states

Michigan Michigan CRD 10 26010 Schoolcraft 26153 Lake-states

Michigan Michigan CRD 80 26080 Shiawassee 26155 Lake-states

Michigan Michigan CRD 60 26060 Tuscola 26157 Lake-states

Michigan Michigan CRD 70 26070 Van Buren 26159 Lake-states

Michigan Michigan CRD 90 26090 Washtenaw 26161 Lake-states

Michigan Michigan CRD 90 26090 Wayne 26163 Lake-states

Michigan Michigan CRD 20 26020 Wexford 26165 Lake-states

Minnesota Minnesota CRD 60 27060 Aitkin 27001 Lake-states

Minnesota Minnesota CRD 60 27060 Anoka 27003 Lake-states

Minnesota Minnesota CRD 10 27010 Becker 27005 Lake-states

Minnesota Minnesota CRD 20 27020 Beltrami 27007 Lake-states

Minnesota Minnesota CRD 50 27050 Benton 27009 Lake-states

Minnesota Minnesota CRD 40 27040 Big Stone 27011 Lake-states

Minnesota Minnesota CRD 80 27080 Blue Earth 27013 Lake-states

Minnesota Minnesota CRD 80 27080 Brown 27015 Lake-states

Minnesota Minnesota CRD 60 27060 Carlton 27017 Lake-states

Minnesota Minnesota CRD 50 27050 Carver 27019 Lake-states

Minnesota Minnesota CRD 20 27020 Cass 27021 Lake-states

Minnesota Minnesota CRD 40 27040 Chippewa 27023 Lake-states

Minnesota Minnesota CRD 60 27060 Chisago 27025 Lake-states

Minnesota Minnesota CRD 10 27010 Clay 27027 Lake-states

Minnesota Minnesota CRD 10 27010 Clearwater 27029 Lake-states

Minnesota Minnesota CRD 30 27030 Cook 27031 Lake-states

Minnesota Minnesota CRD 70 27070 Cottonwood 27033 Lake-states

Minnesota Minnesota CRD 60 27060 Crow Wing 27035 Lake-states

Minnesota Minnesota CRD 90 27090 Dakota 27037 Lake-states

Minnesota Minnesota CRD 90 27090 Dodge 27039 Lake-states

Minnesota Minnesota CRD 40 27040 Douglas 27041 Lake-states

Minnesota Minnesota CRD 80 27080 Faribault 27043 Lake-states

Minnesota Minnesota CRD 90 27090 Fillmore 27045 Lake-states
Tables﻿ ﻿ 61

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Minnesota Minnesota CRD 80 27080 Freeborn 27047 Lake-states

Minnesota Minnesota CRD 90 27090 Goodhue 27049 Lake-states

Minnesota Minnesota CRD 40 27040 Grant 27051 Lake-states

Minnesota Minnesota CRD 60 27060 Hennepin 27053 Lake-states

Minnesota Minnesota CRD 90 27090 Houston 27055 Lake-states

Minnesota Minnesota CRD 20 27020 Hubbard 27057 Lake-states

Minnesota Minnesota CRD 60 27060 Isanti 27059 Lake-states

Minnesota Minnesota CRD 20 27020 Itasca 27061 Lake-states

Minnesota Minnesota CRD 70 27070 Jackson 27063 Lake-states

Minnesota Minnesota CRD 60 27060 Kanabec 27065 Lake-states

Minnesota Minnesota CRD 50 27050 Kandiyohi 27067 Lake-states

Minnesota Minnesota CRD 10 27010 Kittson 27069 Lake-states

Minnesota Minnesota CRD 20 27020 Koochiching 27071 Lake-states

Minnesota Minnesota CRD 40 27040 Lac Qui Parle 27073 Lake-states

Minnesota Minnesota CRD 30 27030 Lake 27075 Lake-states

Minnesota Minnesota CRD 20 27020 Lake of the Woods 27077 Lake-states

Minnesota Minnesota CRD 80 27080 Le Sueur 27079 Lake-states

Minnesota Minnesota CRD 70 27070 Lincoln 27081 Lake-states

Minnesota Minnesota CRD 70 27070 Lyon 27083 Lake-states

Minnesota Minnesota CRD 50 27050 McLeod 27085 Lake-states

Minnesota Minnesota CRD 10 27010 Mahnomen 27087 Lake-states

Minnesota Minnesota CRD 10 27010 Marshall 27089 Lake-states

Minnesota Minnesota CRD 80 27080 Martin 27091 Lake-states

Minnesota Minnesota CRD 50 27050 Meeker 27093 Lake-states

Minnesota Minnesota CRD 60 27060 Mille Lacs 27095 Lake-states

Minnesota Minnesota CRD 50 27050 Morrison 27097 Lake-states

Minnesota Minnesota CRD 90 27090 Mower 27099 Lake-states

Minnesota Minnesota CRD 70 27070 Murray 27101 Lake-states

Minnesota Minnesota CRD 80 27080 Nicollet 27103 Lake-states

Minnesota Minnesota CRD 70 27070 Nobles 27105 Lake-states

Minnesota Minnesota CRD 10 27010 Norman 27107 Lake-states

Minnesota Minnesota CRD 90 27090 Olmsted 27109 Lake-states

Minnesota Minnesota CRD 40 27040 Otter Tail 27111 Lake-states

Minnesota Minnesota CRD 10 27010 Pennington 27113 Lake-states

Minnesota Minnesota CRD 60 27060 Pine 27115 Lake-states

Minnesota Minnesota CRD 70 27070 Pipestone 27117 Lake-states

Minnesota Minnesota CRD 10 27010 Polk 27119 Lake-states

Minnesota Minnesota CRD 40 27040 Pope 27121 Lake-states

Minnesota Minnesota CRD 60 27060 Ramsey 27123 Lake-states

Minnesota Minnesota CRD 10 27010 Red Lake 27125 Lake-states

Minnesota Minnesota CRD 70 27070 Redwood 27127 Lake-states

Minnesota Minnesota CRD 50 27050 Renville 27129 Lake-states
62﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Minnesota Minnesota CRD 80 27080 Rice 27131 Lake-states

Minnesota Minnesota CRD 70 27070 Rock 27133 Lake-states

Minnesota Minnesota CRD 10 27010 Roseau 27135 Lake-states

Minnesota Minnesota CRD 30 27030 St. Louis 27137 Lake-states

Minnesota Minnesota CRD 50 27050 Scott 27139 Lake-states

Minnesota Minnesota CRD 50 27050 Sherburne 27141 Lake-states

Minnesota Minnesota CRD 50 27050 Sibley 27143 Lake-states

Minnesota Minnesota CRD 50 27050 Stearns 27145 Lake-states

Minnesota Minnesota CRD 80 27080 Steele 27147 Lake-states

Minnesota Minnesota CRD 40 27040 Stevens 27149 Lake-states

Minnesota Minnesota CRD 40 27040 Swift 27151 Lake-states

Minnesota Minnesota CRD 50 27050 Todd 27153 Lake-states

Minnesota Minnesota CRD 40 27040 Traverse 27155 Lake-states

Minnesota Minnesota CRD 90 27090 Wabasha 27157 Lake-states

Minnesota Minnesota CRD 50 27050 Wadena 27159 Lake-states

Minnesota Minnesota CRD 80 27080 Waseca 27161 Lake-states

Minnesota Minnesota CRD 60 27060 Washington 27163 Lake-states

Minnesota Minnesota CRD 80 27080 Watonwan 27165 Lake-states

Minnesota Minnesota CRD 40 27040 Wilkin 27167 Lake-states

Minnesota Minnesota CRD 90 27090 Winona 27169 Lake-states

Minnesota Minnesota CRD 50 27050 Wright 27171 Lake-states

Minnesota Minnesota CRD 40 27040 Yellow Medicine 27173 Lake-states

Mississippi Mississippi CRD 70 28070 Adams 28001 Delta

Mississippi Mississippi CRD 30 28030 Alcorn 28003 Delta

Mississippi Mississippi CRD 70 28070 Amite 28005 Delta

Mississippi Mississippi CRD 50 28050 Attala 28007 Delta

Mississippi Mississippi CRD 20 28020 Benton 28009 Delta

Mississippi Mississippi CRD 10 28010 Bolivar 28011 Delta

Mississippi Mississippi CRD 20 28020 Calhoun 28013 Delta

Mississippi Mississippi CRD 50 28050 Carroll 28015 Delta

Mississippi Mississippi CRD 60 28060 Chickasaw 28017 Delta

Mississippi Mississippi CRD 50 28050 Choctaw 28019 Delta

Mississippi Mississippi CRD 70 28070 Claiborne 28021 Delta

Mississippi Mississippi CRD 90 28090 Clarke 28023 Delta

Mississippi Mississippi CRD 60 28060 Clay 28025 Delta

Mississippi Mississippi CRD 10 28010 Coahoma 28027 Delta

Mississippi Mississippi CRD 70 28070 Copiah 28029 Delta

Mississippi Mississippi CRD 80 28080 Covington 28031 Delta

Mississippi Mississippi CRD 20 28020 De Soto 28033 Delta

Mississippi Mississippi CRD 90 28090 Forrest 28035 Delta

Mississippi Mississippi CRD 70 28070 Franklin 28037 Delta

Mississippi Mississippi CRD 90 28090 George 28039 Delta
Tables﻿ ﻿ 63

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Mississippi Mississippi CRD 90 28090 Greene 28041 Delta

Mississippi Mississippi CRD 20 28020 Grenada 28043 Delta

Mississippi Mississippi CRD 90 28090 Hancock 28045 Delta

Mississippi Mississippi CRD 90 28090 Harrison 28047 Delta

Mississippi Mississippi CRD 70 28070 Hinds 28049 Delta

Mississippi Mississippi CRD 50 28050 Holmes 28051 Delta

Mississippi Mississippi CRD 40 28040 Humphreys 28053 Delta

Mississippi Mississippi CRD 40 28040 Issaquena 28055 Delta

Mississippi Mississippi CRD 30 28030 Itawamba 28057 Delta

Mississippi Mississippi CRD 90 28090 Jackson 28059 Delta

Mississippi Mississippi CRD 90 28090 Jasper 28061 Delta

Mississippi Mississippi CRD 70 28070 Jefferson 28063 Delta

Mississippi Mississippi CRD 80 28080 Jefferson Davis 28065 Delta

Mississippi Mississippi CRD 90 28090 Jones 28067 Delta

Mississippi Mississippi CRD 60 28060 Kemper 28069 Delta

Mississippi Mississippi CRD 20 28020 Lafayette 28071 Delta

Mississippi Mississippi CRD 80 28080 Lamar 28073 Delta

Mississippi Mississippi CRD 90 28090 Lauderdale 28075 Delta

Mississippi Mississippi CRD 80 28080 Lawrence 28077 Delta

Mississippi Mississippi CRD 50 28050 Leake 28079 Delta

Mississippi Mississippi CRD 30 28030 Lee 28081 Delta

Mississippi Mississippi CRD 40 28040 Leflore 28083 Delta

Mississippi Mississippi CRD 70 28070 Lincoln 28085 Delta

Mississippi Mississippi CRD 60 28060 Lowndes 28087 Delta

Mississippi Mississippi CRD 50 28050 Madison 28089 Delta

Mississippi Mississippi CRD 80 28080 Marion 28091 Delta

Mississippi Mississippi CRD 20 28020 Marshall 28093 Delta

Mississippi Mississippi CRD 60 28060 Monroe 28095 Delta

Mississippi Mississippi CRD 50 28050 Montgomery 28097 Delta

Mississippi Mississippi CRD 60 28060 Neshoba 28099 Delta

Mississippi Mississippi CRD 90 28090 Newton 28101 Delta

Mississippi Mississippi CRD 60 28060 Noxubee 28103 Delta

Mississippi Mississippi CRD 60 28060 Oktibbeha 28105 Delta

Mississippi Mississippi CRD 20 28020 Panola 28107 Delta

Mississippi Mississippi CRD 90 28090 Pearl River 28109 Delta

Mississippi Mississippi CRD 90 28090 Perry 28111 Delta

Mississippi Mississippi CRD 80 28080 Pike 28113 Delta

Mississippi Mississippi CRD 30 28030 Pontotoc 28115 Delta

Mississippi Mississippi CRD 30 28030 Prentiss 28117 Delta

Mississippi Mississippi CRD 10 28010 Quitman 28119 Delta

Mississippi Mississippi CRD 50 28050 Rankin 28121 Delta

Mississippi Mississippi CRD 50 28050 Scott 28123 Delta
64﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Mississippi Mississippi CRD 40 28040 Sharkey 28125 Delta

Mississippi Mississippi CRD 80 28080 Simpson 28127 Delta

Mississippi Mississippi CRD 80 28080 Smith 28129 Delta

Mississippi Mississippi CRD 90 28090 Stone 28131 Delta

Mississippi Mississippi CRD 40 28040 Sunflower 28133 Delta

Mississippi Mississippi CRD 10 28010 Tallahatchie 28135 Delta

Mississippi Mississippi CRD 20 28020 Tate 28137 Delta

Mississippi Mississippi CRD 30 28030 Tippah 28139 Delta

Mississippi Mississippi CRD 30 28030 Tishomingo 28141 Delta

Mississippi Mississippi CRD 10 28010 Tunica 28143 Delta

Mississippi Mississippi CRD 30 28030 Union 28145 Delta

Mississippi Mississippi CRD 80 28080 Walthall 28147 Delta

Mississippi Mississippi CRD 70 28070 Warren 28149 Delta

Mississippi Mississippi CRD 40 28040 Washington 28151 Delta

Mississippi Mississippi CRD 90 28090 Wayne 28153 Delta

Mississippi Mississippi CRD 50 28050 Webster 28155 Delta

Mississippi Mississippi CRD 70 28070 Wilkinson 28157 Delta

Mississippi Mississippi CRD 60 28060 Winston 28159 Delta

Mississippi Mississippi CRD 20 28020 Yalobusha 28161 Delta

Mississippi Mississippi CRD 40 28040 Yazoo 28163 Delta

Missouri Missouri CRD 20 29020 Adair 29001 Corn-belt

Missouri Missouri CRD 10 29010 Andrew 29003 Corn-belt

Missouri Missouri CRD 10 29010 Atchison 29005 Corn-belt

Missouri Missouri CRD 30 29030 Audrain 29007 Corn-belt

Missouri Missouri CRD 70 29070 Barry 29009 Corn-belt

Missouri Missouri CRD 70 29070 Barton 29011 Corn-belt

Missouri Missouri CRD 40 29040 Bates 29013 Corn-belt

Missouri Missouri CRD 50 29050 Benton 29015 Corn-belt

Missouri Missouri CRD 80 29080 Bollinger 29017 Corn-belt

Missouri Missouri CRD 50 29050 Boone 29019 Corn-belt

Missouri Missouri CRD 10 29010 Buchanan 29021 Corn-belt

Missouri Missouri CRD 90 29090 Butler 29023 Corn-belt

Missouri Missouri CRD 10 29010 Caldwell 29025 Corn-belt

Missouri Missouri CRD 50 29050 Callaway 29027 Corn-belt

Missouri Missouri CRD 50 29050 Camden 29029 Corn-belt

Missouri Missouri CRD 90 29090 Cape Girardeau 29031 Corn-belt

Missouri Missouri CRD 20 29020 Carroll 29033 Corn-belt

Missouri Missouri CRD 80 29080 Carter 29035 Corn-belt

Missouri Missouri CRD 40 29040 Cass 29037 Corn-belt

Missouri Missouri CRD 40 29040 Cedar 29039 Corn-belt

Missouri Missouri CRD 20 29020 Chariton 29041 Corn-belt

Missouri Missouri CRD 70 29070 Christian 29043 Corn-belt
Tables﻿ ﻿ 65

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Missouri Missouri CRD 30 29030 Clark 29045 Corn-belt

Missouri Missouri CRD 10 29010 Clay 29047 Corn-belt

Missouri Missouri CRD 10 29010 Clinton 29049 Corn-belt

Missouri Missouri CRD 50 29050 Cole 29051 Corn-belt

Missouri Missouri CRD 50 29050 Cooper 29053 Corn-belt

Missouri Missouri CRD 60 29060 Crawford 29055 Corn-belt

Missouri Missouri CRD 70 29070 Dade 29057 Corn-belt

Missouri Missouri CRD 50 29050 Dallas 29059 Corn-belt

Missouri Missouri CRD 10 29010 Daviess 29061 Corn-belt

Missouri Missouri CRD 10 29010 De kalb 29063 Corn-belt

Missouri Missouri CRD 80 29080 Dent 29065 Corn-belt

Missouri Missouri CRD 80 29080 Douglas 29067 Corn-belt

Missouri Missouri CRD 90 29090 Dunklin 29069 Corn-belt

Missouri Missouri CRD 60 29060 Franklin 29071 Corn-belt

Missouri Missouri CRD 60 29060 Gasconade 29073 Corn-belt

Missouri Missouri CRD 10 29010 Gentry 29075 Corn-belt

Missouri Missouri CRD 70 29070 Greene 29077 Corn-belt

Missouri Missouri CRD 20 29020 Grundy 29079 Corn-belt

Missouri Missouri CRD 10 29010 Harrison 29081 Corn-belt

Missouri Missouri CRD 40 29040 Henry 29083 Corn-belt

Missouri Missouri CRD 50 29050 Hickory 29085 Corn-belt

Missouri Missouri CRD 10 29010 Holt 29087 Corn-belt

Missouri Missouri CRD 50 29050 Howard 29089 Corn-belt

Missouri Missouri CRD 80 29080 Howell 29091 Corn-belt

Missouri Missouri CRD 80 29080 Iron 29093 Corn-belt

Missouri Missouri CRD 40 29040 Jackson 29095 Corn-belt

Missouri Missouri CRD 70 29070 Jasper 29097 Corn-belt

Missouri Missouri CRD 60 29060 Jefferson 29099 Corn-belt

Missouri Missouri CRD 40 29040 Johnson 29101 Corn-belt

Missouri Missouri CRD 30 29030 Knox 29103 Corn-belt

Missouri Missouri CRD 50 29050 Laclede 29105 Corn-belt

Missouri Missouri CRD 40 29040 Lafayette 29107 Corn-belt

Missouri Missouri CRD 70 29070 Lawrence 29109 Corn-belt

Missouri Missouri CRD 30 29030 Lewis 29111 Corn-belt

Missouri Missouri CRD 60 29060 Lincoln 29113 Corn-belt

Missouri Missouri CRD 20 29020 Linn 29115 Corn-belt

Missouri Missouri CRD 20 29020 Livingston 29117 Corn-belt

Missouri Missouri CRD 70 29070 McDonald 29119 Corn-belt

Missouri Missouri CRD 20 29020 Macon 29121 Corn-belt

Missouri Missouri CRD 80 29080 Madison 29123 Corn-belt

Missouri Missouri CRD 50 29050 Maries 29125 Corn-belt

Missouri Missouri CRD 30 29030 Marion 29127 Corn-belt
66﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Missouri Missouri CRD 20 29020 Mercer 29129 Corn-belt

Missouri Missouri CRD 50 29050 Miller 29131 Corn-belt

Missouri Missouri CRD 90 29090 Mississippi 29133 Corn-belt

Missouri Missouri CRD 50 29050 Moniteau 29135 Corn-belt

Missouri Missouri CRD 30 29030 Monroe 29137 Corn-belt

Missouri Missouri CRD 60 29060 Montgomery 29139 Corn-belt

Missouri Missouri CRD 50 29050 Morgan 29141 Corn-belt

Missouri Missouri CRD 90 29090 New Madrid 29143 Corn-belt

Missouri Missouri CRD 70 29070 Newton 29145 Corn-belt

Missouri Missouri CRD 10 29010 Nodaway 29147 Corn-belt

Missouri Missouri CRD 80 29080 Oregon 29149 Corn-belt

Missouri Missouri CRD 50 29050 Osage 29151 Corn-belt

Missouri Missouri CRD 80 29080 Ozark 29153 Corn-belt

Missouri Missouri CRD 90 29090 Pemiscot 29155 Corn-belt

Missouri Missouri CRD 60 29060 Perry 29157 Corn-belt

Missouri Missouri CRD 50 29050 Pettis 29159 Corn-belt

Missouri Missouri CRD 50 29050 Phelps 29161 Corn-belt

Missouri Missouri CRD 30 29030 Pike 29163 Corn-belt

Missouri Missouri CRD 10 29010 Platte 29165 Corn-belt

Missouri Missouri CRD 50 29050 Polk 29167 Corn-belt

Missouri Missouri CRD 50 29050 Pulaski 29169 Corn-belt

Missouri Missouri CRD 20 29020 Putnam 29171 Corn-belt

Missouri Missouri CRD 30 29030 Ralls 29173 Corn-belt

Missouri Missouri CRD 20 29020 Randolph 29175 Corn-belt

Missouri Missouri CRD 10 29010 Ray 29177 Corn-belt

Missouri Missouri CRD 80 29080 Reynolds 29179 Corn-belt

Missouri Missouri CRD 80 29080 Ripley 29181 Corn-belt

Missouri Missouri CRD 60 29060 St. Charles 29183 Corn-belt

Missouri Missouri CRD 40 29040 St. Clair 29185 Corn-belt

Missouri Missouri CRD 60 29060 Ste. Genevieve 29186 Corn-belt

Missouri Missouri CRD 60 29060 St. Francois 29187 Corn-belt

Missouri Missouri CRD 60 29060 St. Louis 29189 Corn-belt

Missouri Missouri CRD 50 29050 Saline 29195 Corn-belt

Missouri Missouri CRD 20 29020 Schuyler 29197 Corn-belt

Missouri Missouri CRD 30 29030 Scotland 29199 Corn-belt

Missouri Missouri CRD 90 29090 Scott 29201 Corn-belt

Missouri Missouri CRD 80 29080 Shannon 29203 Corn-belt

Missouri Missouri CRD 30 29030 Shelby 29205 Corn-belt

Missouri Missouri CRD 90 29090 Stoddard 29207 Corn-belt

Missouri Missouri CRD 70 29070 Stone 29209 Corn-belt

Missouri Missouri CRD 20 29020 Sullivan 29211 Corn-belt

Missouri Missouri CRD 80 29080 Taney 29213 Corn-belt
Tables﻿ ﻿ 67

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Missouri Missouri CRD 80 29080 Texas 29215 Corn-belt

Missouri Missouri CRD 40 29040 Vernon 29217 Corn-belt

Missouri Missouri CRD 60 29060 Warren 29219 Corn-belt

Missouri Missouri CRD 60 29060 Washington 29221 Corn-belt

Missouri Missouri CRD 80 29080 Wayne 29223 Corn-belt

Missouri Missouri CRD 80 29080 Webster 29225 Corn-belt

Missouri Missouri CRD 10 29010 Worth 29227 Corn-belt

Missouri Missouri CRD 80 29080 Wright 29229 Corn-belt

Missouri Missouri CRD 60 29060 St. Louis 29510 Corn-belt

Montana Montana CRD 70 30070 Beaverhead 30001 Mountain

Montana Montana CRD 80 30080 Big Horn 30003 Mountain

Montana Montana CRD 20 30020 Blaine 30005 Mountain

Montana Montana CRD 50 30050 Broadwater 30007 Mountain

Montana Montana CRD 80 30080 Carbon 30009 Mountain

Montana Montana CRD 90 30090 Carter 30011 Mountain

Montana Montana CRD 50 30050 Cascade 30013 Mountain

Montana Montana CRD 20 30020 Chouteau 30015 Mountain

Montana Montana CRD 90 30090 Custer 30017 Mountain

Montana Montana CRD 30 30030 Daniels 30019 Mountain

Montana Montana CRD 30 30030 Dawson 30021 Mountain

Montana Montana CRD 10 30010 Deer Lodge 30023 Mountain

Montana Montana CRD 90 30090 Fallon 30025 Mountain

Montana Montana CRD 50 30050 Fergus 30027 Mountain

Montana Montana CRD 10 30010 Flathead 30029 Mountain

Montana Montana CRD 70 30070 Gallatin 30031 Mountain

Montana Montana CRD 30 30030 Garfield 30033 Mountain

Montana Montana CRD 20 30020 Glacier 30035 Mountain

Montana Montana CRD 50 30050 Golden Valley 30037 Mountain

Montana Montana CRD 10 30010 Granite 30039 Mountain

Montana Montana CRD 20 30020 Hill 30041 Mountain

Montana Montana CRD 70 30070 Jefferson 30043 Mountain

Montana Montana CRD 50 30050 Judith Basin 30045 Mountain

Montana Montana CRD 10 30010 Lake 30047 Mountain

Montana Montana CRD 50 30050 Lewis and Clark 30049 Mountain

Montana Montana CRD 20 30020 Liberty 30051 Mountain

Montana Montana CRD 10 30010 Lincoln 30053 Mountain

Montana Montana CRD 30 30030 McCone 30055 Mountain

Montana Montana CRD 70 30070 Madison 30057 Mountain

Montana Montana CRD 50 30050 Meagher 30059 Mountain

Montana Montana CRD 10 30010 Mineral 30061 Mountain

Montana Montana CRD 10 30010 Missoula 30063 Mountain

Montana Montana CRD 50 30050 Musselshell 30065 Mountain
68﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Montana Montana CRD 80 30080 Park 30067 Mountain

Montana Montana CRD 50 30050 Petroleum 30069 Mountain

Montana Montana CRD 20 30020 Phillips 30071 Mountain

Montana Montana CRD 20 30020 Pondera 30073 Mountain

Montana Montana CRD 90 30090 Powder River 30075 Mountain

Montana Montana CRD 10 30010 Powell 30077 Mountain

Montana Montana CRD 90 30090 Prairie 30079 Mountain

Montana Montana CRD 10 30010 Ravalli 30081 Mountain

Montana Montana CRD 30 30030 Richland 30083 Mountain

Montana Montana CRD 30 30030 Roosevelt 30085 Mountain

Montana Montana CRD 90 30090 Rosebud 30087 Mountain

Montana Montana CRD 10 30010 Sanders 30089 Mountain

Montana Montana CRD 30 30030 Sheridan 30091 Mountain

Montana Montana CRD 70 30070 Silver Bow 30093 Mountain

Montana Montana CRD 80 30080 Stillwater 30095 Mountain

Montana Montana CRD 80 30080 Sweet Grass 30097 Mountain

Montana Montana CRD 20 30020 Teton 30099 Mountain

Montana Montana CRD 20 30020 Toole 30101 Mountain

Montana Montana CRD 80 30080 Treasure 30103 Mountain

Montana Montana CRD 30 30030 Valley 30105 Mountain

Montana Montana CRD 50 30050 Wheatland 30107 Mountain

Montana Montana CRD 90 30090 Wibaux 30109 Mountain

Montana Montana CRD 80 30080 Yellowstone 30111 Mountain

Nebraska Nebraska CRD 80 31080 Adams 31001 Northern-plains

Nebraska Nebraska CRD 30 31030 Antelope 31003 Northern-plains

Nebraska Nebraska CRD 20 31020 Arthur 31005 Northern-plains

Nebraska Nebraska CRD 10 31010 Banner 31007 Northern-plains

Nebraska Nebraska CRD 20 31020 Blaine 31009 Northern-plains

Nebraska Nebraska CRD 30 31030 Boone 31011 Northern-plains

Nebraska Nebraska CRD 10 31010 Box Butte 31013 Northern-plains

Nebraska Nebraska CRD 20 31020 Boyd 31015 Northern-plains

Nebraska Nebraska CRD 20 31020 Brown 31017 Northern-plains

Nebraska Nebraska CRD 50 31050 Buffalo 31019 Northern-plains

Nebraska Nebraska CRD 30 31030 Burt 31021 Northern-plains

Nebraska Nebraska CRD 60 31060 Butler 31023 Northern-plains

Nebraska Nebraska CRD 60 31060 Cass 31025 Northern-plains

Nebraska Nebraska CRD 30 31030 Cedar 31027 Northern-plains

Nebraska Nebraska CRD 70 31070 Chase 31029 Northern-plains

Nebraska Nebraska CRD 20 31020 Cherry 31031 Northern-plains

Nebraska Nebraska CRD 10 31010 Cheyenne 31033 Northern-plains

Nebraska Nebraska CRD 90 31090 Clay 31035 Northern-plains

Nebraska Nebraska CRD 60 31060 Colfax 31037 Northern-plains
Tables﻿ ﻿ 69

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Nebraska Nebraska CRD 30 31030 Cuming 31039 Northern-plains

Nebraska Nebraska CRD 50 31050 Custer 31041 Northern-plains

Nebraska Nebraska CRD 30 31030 Dakota 31043 Northern-plains

Nebraska Nebraska CRD 10 31010 Dawes 31045 Northern-plains

Nebraska Nebraska CRD 50 31050 Dawson 31047 Northern-plains

Nebraska Nebraska CRD 10 31010 Deuel 31049 Northern-plains

Nebraska Nebraska CRD 30 31030 Dixon 31051 Northern-plains

Nebraska Nebraska CRD 60 31060 Dodge 31053 Northern-plains

Nebraska Nebraska CRD 60 31060 Douglas 31055 Northern-plains

Nebraska Nebraska CRD 70 31070 Dundy 31057 Northern-plains

Nebraska Nebraska CRD 90 31090 Fillmore 31059 Northern-plains

Nebraska Nebraska CRD 80 31080 Franklin 31061 Northern-plains

Nebraska Nebraska CRD 70 31070 Frontier 31063 Northern-plains

Nebraska Nebraska CRD 80 31080 Furnas 31065 Northern-plains

Nebraska Nebraska CRD 90 31090 Gage 31067 Northern-plains

Nebraska Nebraska CRD 10 31010 Garden 31069 Northern-plains

Nebraska Nebraska CRD 20 31020 Garfield 31071 Northern-plains

Nebraska Nebraska CRD 80 31080 Gosper 31073 Northern-plains

Nebraska Nebraska CRD 20 31020 Grant 31075 Northern-plains

Nebraska Nebraska CRD 50 31050 Greeley 31077 Northern-plains

Nebraska Nebraska CRD 50 31050 Hall 31079 Northern-plains

Nebraska Nebraska CRD 60 31060 Hamilton 31081 Northern-plains

Nebraska Nebraska CRD 80 31080 Harlan 31083 Northern-plains

Nebraska Nebraska CRD 70 31070 Hayes 31085 Northern-plains

Nebraska Nebraska CRD 70 31070 Hitchcock 31087 Northern-plains

Nebraska Nebraska CRD 20 31020 Holt 31089 Northern-plains

Nebraska Nebraska CRD 20 31020 Hooker 31091 Northern-plains

Nebraska Nebraska CRD 50 31050 Howard 31093 Northern-plains

Nebraska Nebraska CRD 90 31090 Jefferson 31095 Northern-plains

Nebraska Nebraska CRD 90 31090 Johnson 31097 Northern-plains

Nebraska Nebraska CRD 80 31080 Kearney 31099 Northern-plains

Nebraska Nebraska CRD 70 31070 Keith 31101 Northern-plains

Nebraska Nebraska CRD 20 31020 Keya Paha 31103 Northern-plains

Nebraska Nebraska CRD 10 31010 Kimball 31105 Northern-plains

Nebraska Nebraska CRD 30 31030 Knox 31107 Northern-plains

Nebraska Nebraska CRD 60 31060 Lancaster 31109 Northern-plains

Nebraska Nebraska CRD 70 31070 Lincoln 31111 Northern-plains

Nebraska Nebraska CRD 20 31020 Logan 31113 Northern-plains

Nebraska Nebraska CRD 20 31020 Loup 31115 Northern-plains

Nebraska Nebraska CRD 20 31020 McPherson 31117 Northern-plains

Nebraska Nebraska CRD 30 31030 Madison 31119 Northern-plains

Nebraska Nebraska CRD 60 31060 Merrick 31121 Northern-plains
70﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Nebraska Nebraska CRD 10 31010 Morrill 31123 Northern-plains

Nebraska Nebraska CRD 60 31060 Nance 31125 Northern-plains

Nebraska Nebraska CRD 90 31090 Nemaha 31127 Northern-plains

Nebraska Nebraska CRD 90 31090 Nuckolls 31129 Northern-plains

Nebraska Nebraska CRD 90 31090 Otoe 31131 Northern-plains

Nebraska Nebraska CRD 90 31090 Pawnee 31133 Northern-plains

Nebraska Nebraska CRD 70 31070 Perkins 31135 Northern-plains

Nebraska Nebraska CRD 80 31080 Phelps 31137 Northern-plains

Nebraska Nebraska CRD 30 31030 Pierce 31139 Northern-plains

Nebraska Nebraska CRD 60 31060 Platte 31141 Northern-plains

Nebraska Nebraska CRD 60 31060 Polk 31143 Northern-plains

Nebraska Nebraska CRD 70 31070 Red Willow 31145 Northern-plains

Nebraska Nebraska CRD 90 31090 Richardson 31147 Northern-plains

Nebraska Nebraska CRD 20 31020 Rock 31149 Northern-plains

Nebraska Nebraska CRD 90 31090 Saline 31151 Northern-plains

Nebraska Nebraska CRD 60 31060 Sarpy 31153 Northern-plains

Nebraska Nebraska CRD 60 31060 Saunders 31155 Northern-plains

Nebraska Nebraska CRD 10 31010 Scotts Bluff 31157 Northern-plains

Nebraska Nebraska CRD 60 31060 Seward 31159 Northern-plains

Nebraska Nebraska CRD 10 31010 Sheridan 31161 Northern-plains

Nebraska Nebraska CRD 50 31050 Sherman 31163 Northern-plains

Nebraska Nebraska CRD 10 31010 Sioux 31165 Northern-plains

Nebraska Nebraska CRD 30 31030 Stanton 31167 Northern-plains

Nebraska Nebraska CRD 90 31090 Thayer 31169 Northern-plains

Nebraska Nebraska CRD 20 31020 Thomas 31171 Northern-plains

Nebraska Nebraska CRD 30 31030 Thurston 31173 Northern-plains

Nebraska Nebraska CRD 50 31050 Valley 31175 Northern-plains

Nebraska Nebraska CRD 60 31060 Washington 31177 Northern-plains

Nebraska Nebraska CRD 30 31030 Wayne 31179 Northern-plains

Nebraska Nebraska CRD 80 31080 Webster 31181 Northern-plains

Nebraska Nebraska CRD 20 31020 Wheeler 31183 Northern-plains

Nebraska Nebraska CRD 60 31060 York 31185 Northern-plains

Nevada Nevada CRD 10 32010 Churchill 32001 Mountain

Nevada Nevada CRD 80 32080 Clark 32003 Mountain

Nevada Nevada CRD 10 32010 Douglas 32005 Mountain

Nevada Nevada CRD 30 32030 Elko 32007 Mountain

Nevada Nevada CRD 80 32080 Esmeralda 32009 Mountain

Nevada Nevada CRD 30 32030 Eureka 32011 Mountain

Nevada Nevada CRD 10 32010 Humboldt 32013 Mountain

Nevada Nevada CRD 30 32030 Lander 32015 Mountain

Nevada Nevada CRD 80 32080 Lincoln 32017 Mountain

Nevada Nevada CRD 10 32010 Lyon 32019 Mountain
Tables﻿ ﻿ 71

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Nevada Nevada CRD 80 32080 Mineral 32021 Mountain

Nevada Nevada CRD 80 32080 Nye 32023 Mountain

Nevada Nevada CRD 10 32010 Pershing 32027 Mountain

Nevada Nevada CRD 10 32010 Storey 32029 Mountain

Nevada Nevada CRD 10 32010 Washoe 32031 Mountain

Nevada Nevada CRD 30 32030 White Pine 32033 Mountain

Nevada Nevada CRD 10 32010 Carson City 32510 Mountain

New Hampshire New Hampshire CRD 10 33010 Belknap 33001 Northeast

New Hampshire New Hampshire CRD 10 33010 Carroll 33003 Northeast

New Hampshire New Hampshire CRD 10 33010 Cheshire 33005 Northeast

New Hampshire New Hampshire CRD 10 33010 Coos 33007 Northeast

New Hampshire New Hampshire CRD 10 33010 Grafton 33009 Northeast

New Hampshire New Hampshire CRD 10 33010 Hillsborough 33011 Northeast

New Hampshire New Hampshire CRD 10 33010 Merrimack 33013 Northeast

New Hampshire New Hampshire CRD 10 33010 Rockingham 33015 Northeast

New Hampshire New Hampshire CRD 10 33010 Strafford 33017 Northeast

New Hampshire New Hampshire CRD 10 33010 Sullivan 33019 Northeast

New Jersey New Jersey CRD 80 34080 Atlantic 34001 Northeast

New Jersey New Jersey CRD 20 34020 Bergen 34003 Northeast

New Jersey New Jersey CRD 50 34050 Burlington 34005 Northeast

New Jersey New Jersey CRD 80 34080 Camden 34007 Northeast

New Jersey New Jersey CRD 80 34080 Cape May 34009 Northeast

New Jersey New Jersey CRD 80 34080 Cumberland 34011 Northeast

New Jersey New Jersey CRD 20 34020 Essex 34013 Northeast

New Jersey New Jersey CRD 80 34080 Gloucester 34015 Northeast

New Jersey New Jersey CRD 20 34020 Hudson 34017 Northeast

New Jersey New Jersey CRD 20 34020 Hunterdon 34019 Northeast

New Jersey New Jersey CRD 50 34050 Mercer 34021 Northeast

New Jersey New Jersey CRD 50 34050 Middlesex 34023 Northeast

New Jersey New Jersey CRD 50 34050 Monmouth 34025 Northeast

New Jersey New Jersey CRD 20 34020 Morris 34027 Northeast

New Jersey New Jersey CRD 50 34050 Ocean 34029 Northeast

New Jersey New Jersey CRD 20 34020 Passaic 34031 Northeast

New Jersey New Jersey CRD 80 34080 Salem 34033 Northeast

New Jersey New Jersey CRD 20 34020 Somerset 34035 Northeast

New Jersey New Jersey CRD 20 34020 Sussex 34037 Northeast

New Jersey New Jersey CRD 20 34020 Union 34039 Northeast

New Jersey New Jersey CRD 20 34020 Warren 34041 Northeast

New Mexico New Mexico CRD 10 35010 Bernalillo 35001 Mountain

New Mexico New Mexico CRD 70 35070 Catron 35003 Mountain

New Mexico New Mexico CRD 90 35090 Chaves 35005 Mountain

New Mexico New Mexico CRD 10 35010 Cibola 35006 Mountain
72﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

New Mexico New Mexico CRD 30 35030 Colfax 35007 Mountain

New Mexico New Mexico CRD 30 35030 Curry 35009 Mountain

New Mexico New Mexico CRD 30 35030 De Baca 35011 Mountain

New Mexico New Mexico CRD 90 35090 Dona Ana 35013 Mountain

New Mexico New Mexico CRD 90 35090 Eddy 35015 Mountain

New Mexico New Mexico CRD 70 35070 Grant 35017 Mountain

New Mexico New Mexico CRD 30 35030 Guadalupe 35019 Mountain

New Mexico New Mexico CRD 30 35030 Harding 35021 Mountain

New Mexico New Mexico CRD 70 35070 Hidalgo 35023 Mountain

New Mexico New Mexico CRD 90 35090 Lea 35025 Mountain

New Mexico New Mexico CRD 90 35090 Lincoln 35027 Mountain

New Mexico New Mexico CRD 10 35010 Los Alamos 35028 Mountain

New Mexico New Mexico CRD 70 35070 Luna 35029 Mountain

New Mexico New Mexico CRD 10 35010 McKinley 35031 Mountain

New Mexico New Mexico CRD 30 35030 Mora 35033 Mountain

New Mexico New Mexico CRD 90 35090 Otero 35035 Mountain

New Mexico New Mexico CRD 30 35030 Quay 35037 Mountain

New Mexico New Mexico CRD 10 35010 Rio Arriba 35039 Mountain

New Mexico New Mexico CRD 30 35030 Roosevelt 35041 Mountain

New Mexico New Mexico CRD 10 35010 Sandoval 35043 Mountain

New Mexico New Mexico CRD 10 35010 San Juan 35045 Mountain

New Mexico New Mexico CRD 30 35030 San Miguel 35047 Mountain

New Mexico New Mexico CRD 10 35010 Santa Fe 35049 Mountain

New Mexico New Mexico CRD 70 35070 Sierra 35051 Mountain

New Mexico New Mexico CRD 70 35070 Socorro 35053 Mountain

New Mexico New Mexico CRD 10 35010 Taos 35055 Mountain

New Mexico New Mexico CRD 30 35030 Torrance 35057 Mountain

New Mexico New Mexico CRD 30 35030 Union 35059 Mountain

New Mexico New Mexico CRD 10 35010 Valencia 35061 Mountain

New York New York CRD 60 36060 Albany 36001 Northeast

New York New York CRD 70 36070 Allegany 36003 Northeast

New York New York CRD 91 36091 Bronx 36005 Northeast

New York New York CRD 80 36080 Broome 36007 Northeast

New York New York CRD 70 36070 Cattaraugus 36009 Northeast

New York New York CRD 50 36050 Cayuga 36011 Northeast

New York New York CRD 70 36070 Chautauqua 36013 Northeast

New York New York CRD 80 36080 Chemung 36015 Northeast

New York New York CRD 50 36050 Chenango 36017 Northeast

New York New York CRD 30 36030 Clinton 36019 Northeast

New York New York CRD 90 36090 Columbia 36021 Northeast

New York New York CRD 50 36050 Cortland 36023 Northeast

New York New York CRD 90 36090 Delaware 36025 Northeast
Tables﻿ ﻿ 73

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

New York New York CRD 90 36090 Dutchess 36027 Northeast

New York New York CRD 40 36040 Erie 36029 Northeast

New York New York CRD 30 36030 Essex 36031 Northeast

New York New York CRD 30 36030 Franklin 36033 Northeast

New York New York CRD 60 36060 Fulton 36035 Northeast

New York New York CRD 40 36040 Genesee 36037 Northeast

New York New York CRD 90 36090 Greene 36039 Northeast

New York New York CRD 30 36030 Hamilton 36041 Northeast

New York New York CRD 50 36050 Herkimer 36043 Northeast

New York New York CRD 20 36020 Jefferson 36045 Northeast

New York New York CRD 91 36091 Kings 36047 Northeast

New York New York CRD 20 36020 Lewis 36049 Northeast

New York New York CRD 40 36040 Livingston 36051 Northeast

New York New York CRD 50 36050 Madison 36053 Northeast

New York New York CRD 40 36040 Monroe 36055 Northeast

New York New York CRD 60 36060 Montgomery 36057 Northeast

New York New York CRD 91 36091 Nassau 36059 Northeast

New York New York CRD 91 36091 New York 36061 Northeast

New York New York CRD 40 36040 Niagara 36063 Northeast

New York New York CRD 50 36050 Oneida 36065 Northeast

New York New York CRD 50 36050 Onondaga 36067 Northeast

New York New York CRD 40 36040 Ontario 36069 Northeast

New York New York CRD 90 36090 Orange 36071 Northeast

New York New York CRD 40 36040 Orleans 36073 Northeast

New York New York CRD 50 36050 Oswego 36075 Northeast

New York New York CRD 50 36050 Otsego 36077 Northeast

New York New York CRD 90 36090 Putnam 36079 Northeast

New York New York CRD 91 36091 Queens 36081 Northeast

New York New York CRD 60 36060 Rensselaer 36083 Northeast

New York New York CRD 91 36091 Richmond 36085 Northeast

New York New York CRD 90 36090 Rockland 36087 Northeast

New York New York CRD 20 36020 St. Lawrence 36089 Northeast

New York New York CRD 60 36060 Saratoga 36091 Northeast

New York New York CRD 60 36060 Schenectady 36093 Northeast

New York New York CRD 60 36060 Schoharie 36095 Northeast

New York New York CRD 80 36080 Schuyler 36097 Northeast

New York New York CRD 40 36040 Seneca 36099 Northeast

New York New York CRD 70 36070 Steuben 36101 Northeast

New York New York CRD 91 36091 Suffolk 36103 Northeast

New York New York CRD 90 36090 Sullivan 36105 Northeast

New York New York CRD 80 36080 Tioga 36107 Northeast

New York New York CRD 80 36080 Tompkins 36109 Northeast
74﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

New York New York CRD 90 36090 Ulster 36111 Northeast

New York New York CRD 30 36030 Warren 36113 Northeast

New York New York CRD 60 36060 Washington 36115 Northeast

New York New York CRD 40 36040 Wayne 36117 Northeast

New York New York CRD 90 36090 Westchester 36119 Northeast

New York New York CRD 40 36040 Wyoming 36121 Northeast

New York New York CRD 40 36040 Yates 36123 Northeast

North Carolina North Carolina CRD 40 37040 Alamance 37001 Appalachian

North Carolina North Carolina CRD 50 37050 Alexander 37003 Appalachian

North Carolina North Carolina CRD 10 37010 Alleghany 37005 Appalachian

North Carolina North Carolina CRD 60 37060 Anson 37007 Appalachian

North Carolina North Carolina CRD 10 37010 Ashe 37009 Appalachian

North Carolina North Carolina CRD 10 37010 Avery 37011 Appalachian

North Carolina North Carolina CRD 80 37080 Beaufort 37013 Appalachian

North Carolina North Carolina CRD 70 37070 Bertie 37015 Appalachian

North Carolina North Carolina CRD 90 37090 Bladen 37017 Appalachian

North Carolina North Carolina CRD 90 37090 Brunswick 37019 Appalachian

North Carolina North Carolina CRD 20 37020 Buncombe 37021 Appalachian

North Carolina North Carolina CRD 20 37020 Burke 37023 Appalachian

North Carolina North Carolina CRD 60 37060 Cabarrus 37025 Appalachian

North Carolina North Carolina CRD 10 37010 Caldwell 37027 Appalachian

North Carolina North Carolina CRD 70 37070 Camden 37029 Appalachian

North Carolina North Carolina CRD 80 37080 Carteret 37031 Appalachian

North Carolina North Carolina CRD 40 37040 Caswell 37033 Appalachian

North Carolina North Carolina CRD 50 37050 Catawba 37035 Appalachian

North Carolina North Carolina CRD 50 37050 Chatham 37037 Appalachian

North Carolina North Carolina CRD 20 37020 Cherokee 37039 Appalachian

North Carolina North Carolina CRD 70 37070 Chowan 37041 Appalachian

North Carolina North Carolina CRD 20 37020 Clay 37043 Appalachian

North Carolina North Carolina CRD 60 37060 Cleveland 37045 Appalachian

North Carolina North Carolina CRD 90 37090 Columbus 37047 Appalachian

North Carolina North Carolina CRD 80 37080 Craven 37049 Appalachian

North Carolina North Carolina CRD 90 37090 Cumberland 37051 Appalachian

North Carolina North Carolina CRD 70 37070 Currituck 37053 Appalachian

North Carolina North Carolina CRD 70 37070 Dare 37055 Appalachian

North Carolina North Carolina CRD 50 37050 Davidson 37057 Appalachian

North Carolina North Carolina CRD 50 37050 Davie 37059 Appalachian

North Carolina North Carolina CRD 90 37090 Duplin 37061 Appalachian

North Carolina North Carolina CRD 40 37040 Durham 37063 Appalachian

North Carolina North Carolina CRD 70 37070 Edgecombe 37065 Appalachian

North Carolina North Carolina CRD 40 37040 Forsyth 37067 Appalachian

North Carolina North Carolina CRD 40 37040 Franklin 37069 Appalachian
Tables﻿ ﻿ 75

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

North Carolina North Carolina CRD 60 37060 Gaston 37071 Appalachian

North Carolina North Carolina CRD 70 37070 Gates 37073 Appalachian

North Carolina North Carolina CRD 20 37020 Graham 37075 Appalachian

North Carolina North Carolina CRD 40 37040 Granville 37077 Appalachian

North Carolina North Carolina CRD 80 37080 Greene 37079 Appalachian

North Carolina North Carolina CRD 40 37040 Guilford 37081 Appalachian

North Carolina North Carolina CRD 70 37070 Halifax 37083 Appalachian

North Carolina North Carolina CRD 90 37090 Harnett 37085 Appalachian

North Carolina North Carolina CRD 20 37020 Haywood 37087 Appalachian

North Carolina North Carolina CRD 20 37020 Henderson 37089 Appalachian

North Carolina North Carolina CRD 70 37070 Hertford 37091 Appalachian

North Carolina North Carolina CRD 90 37090 Hoke 37093 Appalachian

North Carolina North Carolina CRD 80 37080 Hyde 37095 Appalachian

North Carolina North Carolina CRD 50 37050 Iredell 37097 Appalachian

North Carolina North Carolina CRD 20 37020 Jackson 37099 Appalachian

North Carolina North Carolina CRD 80 37080 Johnston 37101 Appalachian

North Carolina North Carolina CRD 80 37080 Jones 37103 Appalachian

North Carolina North Carolina CRD 50 37050 Lee 37105 Appalachian

North Carolina North Carolina CRD 80 37080 Lenoir 37107 Appalachian

North Carolina North Carolina CRD 60 37060 Lincoln 37109 Appalachian

North Carolina North Carolina CRD 20 37020 McDowell 37111 Appalachian

North Carolina North Carolina CRD 20 37020 Macon 37113 Appalachian

North Carolina North Carolina CRD 20 37020 Madison 37115 Appalachian

North Carolina North Carolina CRD 70 37070 Martin 37117 Appalachian

North Carolina North Carolina CRD 60 37060 Mecklenburg 37119 Appalachian

North Carolina North Carolina CRD 20 37020 Mitchell 37121 Appalachian

North Carolina North Carolina CRD 60 37060 Montgomery 37123 Appalachian

North Carolina North Carolina CRD 60 37060 Moore 37125 Appalachian

North Carolina North Carolina CRD 70 37070 Nash 37127 Appalachian

North Carolina North Carolina CRD 90 37090 New Hanover 37129 Appalachian

North Carolina North Carolina CRD 70 37070 Northampton 37131 Appalachian

North Carolina North Carolina CRD 90 37090 Onslow 37133 Appalachian

North Carolina North Carolina CRD 40 37040 Orange 37135 Appalachian

North Carolina North Carolina CRD 80 37080 Pamlico 37137 Appalachian

North Carolina North Carolina CRD 70 37070 Pasquotank 37139 Appalachian

North Carolina North Carolina CRD 90 37090 Pender 37141 Appalachian

North Carolina North Carolina CRD 70 37070 Perquimans 37143 Appalachian

North Carolina North Carolina CRD 40 37040 Person 37145 Appalachian

North Carolina North Carolina CRD 80 37080 Pitt 37147 Appalachian

North Carolina North Carolina CRD 20 37020 Polk 37149 Appalachian

North Carolina North Carolina CRD 50 37050 Randolph 37151 Appalachian

North Carolina North Carolina CRD 60 37060 Richmond 37153 Appalachian
76﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

North Carolina North Carolina CRD 90 37090 Robeson 37155 Appalachian

North Carolina North Carolina CRD 40 37040 Rockingham 37157 Appalachian

North Carolina North Carolina CRD 50 37050 Rowan 37159 Appalachian

North Carolina North Carolina CRD 20 37020 Rutherford 37161 Appalachian

North Carolina North Carolina CRD 90 37090 Sampson 37163 Appalachian

North Carolina North Carolina CRD 90 37090 Scotland 37165 Appalachian

North Carolina North Carolina CRD 60 37060 Stanly 37167 Appalachian

North Carolina North Carolina CRD 40 37040 Stokes 37169 Appalachian

North Carolina North Carolina CRD 10 37010 Surry 37171 Appalachian

North Carolina North Carolina CRD 20 37020 Swain 37173 Appalachian

North Carolina North Carolina CRD 20 37020 Transylvania 37175 Appalachian

North Carolina North Carolina CRD 70 37070 Tyrrell 37177 Appalachian

North Carolina North Carolina CRD 60 37060 Union 37179 Appalachian

North Carolina North Carolina CRD 40 37040 Vance 37181 Appalachian

North Carolina North Carolina CRD 50 37050 Wake 37183 Appalachian

North Carolina North Carolina CRD 40 37040 Warren 37185 Appalachian

North Carolina North Carolina CRD 70 37070 Washington 37187 Appalachian

North Carolina North Carolina CRD 10 37010 Watauga 37189 Appalachian

North Carolina North Carolina CRD 80 37080 Wayne 37191 Appalachian

North Carolina North Carolina CRD 10 37010 Wilkes 37193 Appalachian

North Carolina North Carolina CRD 80 37080 Wilson 37195 Appalachian

North Carolina North Carolina CRD 10 37010 Yadkin 37197 Appalachian

North Carolina North Carolina CRD 20 37020 Yancey 37199 Appalachian

North Dakota North Dakota CRD 70 38070 Adams 38001 Northern-plains

North Dakota North Dakota CRD 60 38060 Barnes 38003 Northern-plains

North Dakota North Dakota CRD 20 38020 Benson 38005 Northern-plains

North Dakota North Dakota CRD 70 38070 Billings 38007 Northern-plains

North Dakota North Dakota CRD 20 38020 Bottineau 38009 Northern-plains

North Dakota North Dakota CRD 70 38070 Bowman 38011 Northern-plains

North Dakota North Dakota CRD 10 38010 Burke 38013 Northern-plains

North Dakota North Dakota CRD 80 38080 Burleigh 38015 Northern-plains

North Dakota North Dakota CRD 60 38060 Cass 38017 Northern-plains

North Dakota North Dakota CRD 30 38030 Cavalier 38019 Northern-plains

North Dakota North Dakota CRD 90 38090 Dickey 38021 Northern-plains

North Dakota North Dakota CRD 10 38010 Divide 38023 Northern-plains

North Dakota North Dakota CRD 40 38040 Dunn 38025 Northern-plains

North Dakota North Dakota CRD 50 38050 Eddy 38027 Northern-plains

North Dakota North Dakota CRD 80 38080 Emmons 38029 Northern-plains

North Dakota North Dakota CRD 50 38050 Foster 38031 Northern-plains

North Dakota North Dakota CRD 70 38070 Golden Valley 38033 Northern-plains

North Dakota North Dakota CRD 30 38030 Grand Forks 38035 Northern-plains

North Dakota North Dakota CRD 80 38080 Grant 38037 Northern-plains
Tables﻿ ﻿ 77

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

North Dakota North Dakota CRD 60 38060 Griggs 38039 Northern-plains

North Dakota North Dakota CRD 70 38070 Hettinger 38041 Northern-plains

North Dakota North Dakota CRD 50 38050 Kidder 38043 Northern-plains

North Dakota North Dakota CRD 90 38090 La Moure 38045 Northern-plains

North Dakota North Dakota CRD 90 38090 Logan 38047 Northern-plains

North Dakota North Dakota CRD 20 38020 McHenry 38049 Northern-plains

North Dakota North Dakota CRD 90 38090 McIntosh 38051 Northern-plains

North Dakota North Dakota CRD 40 38040 McKenzie 38053 Northern-plains

North Dakota North Dakota CRD 40 38040 McLean 38055 Northern-plains

North Dakota North Dakota CRD 40 38040 Mercer 38057 Northern-plains

North Dakota North Dakota CRD 80 38080 Morton 38059 Northern-plains

North Dakota North Dakota CRD 10 38010 Mountrail 38061 Northern-plains

North Dakota North Dakota CRD 30 38030 Nelson 38063 Northern-plains

North Dakota North Dakota CRD 40 38040 Oliver 38065 Northern-plains

North Dakota North Dakota CRD 30 38030 Pembina 38067 Northern-plains

North Dakota North Dakota CRD 20 38020 Pierce 38069 Northern-plains

North Dakota North Dakota CRD 30 38030 Ramsey 38071 Northern-plains

North Dakota North Dakota CRD 90 38090 Ransom 38073 Northern-plains

North Dakota North Dakota CRD 10 38010 Renville 38075 Northern-plains

North Dakota North Dakota CRD 90 38090 Richland 38077 Northern-plains

North Dakota North Dakota CRD 20 38020 Rolette 38079 Northern-plains

North Dakota North Dakota CRD 90 38090 Sargent 38081 Northern-plains

North Dakota North Dakota CRD 50 38050 Sheridan 38083 Northern-plains

North Dakota North Dakota CRD 80 38080 Sioux 38085 Northern-plains

North Dakota North Dakota CRD 70 38070 Slope 38087 Northern-plains

North Dakota North Dakota CRD 70 38070 Stark 38089 Northern-plains

North Dakota North Dakota CRD 60 38060 Steele 38091 Northern-plains

North Dakota North Dakota CRD 50 38050 Stutsman 38093 Northern-plains

North Dakota North Dakota CRD 30 38030 Towner 38095 Northern-plains

North Dakota North Dakota CRD 60 38060 Traill 38097 Northern-plains

North Dakota North Dakota CRD 30 38030 Walsh 38099 Northern-plains

North Dakota North Dakota CRD 10 38010 Ward 38101 Northern-plains

North Dakota North Dakota CRD 50 38050 Wells 38103 Northern-plains

North Dakota North Dakota CRD 10 38010 Williams 38105 Northern-plains

Ohio Ohio CRD 80 39080 Adams 39001 Corn-belt

Ohio Ohio CRD 10 39010 Allen 39003 Corn-belt

Ohio Ohio CRD 20 39020 Ashland 39005 Corn-belt

Ohio Ohio CRD 30 39030 Ashtabula 39007 Corn-belt

Ohio Ohio CRD 90 39090 Athens 39009 Corn-belt

Ohio Ohio CRD 40 39040 Auglaize 39011 Corn-belt

Ohio Ohio CRD 60 39060 Belmont 39013 Corn-belt

Ohio Ohio CRD 80 39080 Brown 39015 Corn-belt
78﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Ohio Ohio CRD 70 39070 Butler 39017 Corn-belt

Ohio Ohio CRD 60 39060 Carroll 39019 Corn-belt

Ohio Ohio CRD 40 39040 Champaign 39021 Corn-belt

Ohio Ohio CRD 40 39040 Clark 39023 Corn-belt

Ohio Ohio CRD 70 39070 Clermont 39025 Corn-belt

Ohio Ohio CRD 70 39070 Clinton 39027 Corn-belt

Ohio Ohio CRD 30 39030 Columbiana 39029 Corn-belt

Ohio Ohio CRD 60 39060 Coshocton 39031 Corn-belt

Ohio Ohio CRD 20 39020 Crawford 39033 Corn-belt

Ohio Ohio CRD 30 39030 Cuyahoga 39035 Corn-belt

Ohio Ohio CRD 40 39040 Darke 39037 Corn-belt

Ohio Ohio CRD 10 39010 Defiance 39039 Corn-belt

Ohio Ohio CRD 50 39050 Delaware 39041 Corn-belt

Ohio Ohio CRD 20 39020 Erie 39043 Corn-belt

Ohio Ohio CRD 50 39050 Fairfield 39045 Corn-belt

Ohio Ohio CRD 50 39050 Fayette 39047 Corn-belt

Ohio Ohio CRD 50 39050 Franklin 39049 Corn-belt

Ohio Ohio CRD 10 39010 Fulton 39051 Corn-belt

Ohio Ohio CRD 80 39080 Gallia 39053 Corn-belt

Ohio Ohio CRD 30 39030 Geauga 39055 Corn-belt

Ohio Ohio CRD 70 39070 Greene 39057 Corn-belt

Ohio Ohio CRD 90 39090 Guernsey 39059 Corn-belt

Ohio Ohio CRD 70 39070 Hamilton 39061 Corn-belt

Ohio Ohio CRD 10 39010 Hancock 39063 Corn-belt

Ohio Ohio CRD 40 39040 Hardin 39065 Corn-belt

Ohio Ohio CRD 60 39060 Harrison 39067 Corn-belt

Ohio Ohio CRD 10 39010 Henry 39069 Corn-belt

Ohio Ohio CRD 80 39080 Highland 39071 Corn-belt

Ohio Ohio CRD 90 39090 Hocking 39073 Corn-belt

Ohio Ohio CRD 60 39060 Holmes 39075 Corn-belt

Ohio Ohio CRD 20 39020 Huron 39077 Corn-belt

Ohio Ohio CRD 80 39080 Jackson 39079 Corn-belt

Ohio Ohio CRD 60 39060 Jefferson 39081 Corn-belt

Ohio Ohio CRD 50 39050 Knox 39083 Corn-belt

Ohio Ohio CRD 30 39030 Lake 39085 Corn-belt

Ohio Ohio CRD 80 39080 Lawrence 39087 Corn-belt

Ohio Ohio CRD 50 39050 Licking 39089 Corn-belt

Ohio Ohio CRD 40 39040 Logan 39091 Corn-belt

Ohio Ohio CRD 20 39020 Lorain 39093 Corn-belt

Ohio Ohio CRD 10 39010 Lucas 39095 Corn-belt

Ohio Ohio CRD 50 39050 Madison 39097 Corn-belt

Ohio Ohio CRD 30 39030 Mahoning 39099 Corn-belt
Tables﻿ ﻿ 79

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Ohio Ohio CRD 50 39050 Marion 39101 Corn-belt

Ohio Ohio CRD 30 39030 Medina 39103 Corn-belt

Ohio Ohio CRD 90 39090 Meigs 39105 Corn-belt

Ohio Ohio CRD 40 39040 Mercer 39107 Corn-belt

Ohio Ohio CRD 40 39040 Miami 39109 Corn-belt

Ohio Ohio CRD 90 39090 Monroe 39111 Corn-belt

Ohio Ohio CRD 70 39070 Montgomery 39113 Corn-belt

Ohio Ohio CRD 90 39090 Morgan 39115 Corn-belt

Ohio Ohio CRD 50 39050 Morrow 39117 Corn-belt

Ohio Ohio CRD 90 39090 Muskingum 39119 Corn-belt

Ohio Ohio CRD 90 39090 Noble 39121 Corn-belt

Ohio Ohio CRD 20 39020 Ottawa 39123 Corn-belt

Ohio Ohio CRD 10 39010 Paulding 39125 Corn-belt

Ohio Ohio CRD 90 39090 Perry 39127 Corn-belt

Ohio Ohio CRD 50 39050 Pickaway 39129 Corn-belt

Ohio Ohio CRD 80 39080 Pike 39131 Corn-belt

Ohio Ohio CRD 30 39030 Portage 39133 Corn-belt

Ohio Ohio CRD 70 39070 Preble 39135 Corn-belt

Ohio Ohio CRD 10 39010 Putnam 39137 Corn-belt

Ohio Ohio CRD 20 39020 Richland 39139 Corn-belt

Ohio Ohio CRD 50 39050 Ross 39141 Corn-belt

Ohio Ohio CRD 20 39020 Sandusky 39143 Corn-belt

Ohio Ohio CRD 80 39080 Scioto 39145 Corn-belt

Ohio Ohio CRD 20 39020 Seneca 39147 Corn-belt

Ohio Ohio CRD 40 39040 Shelby 39149 Corn-belt

Ohio Ohio CRD 30 39030 Stark 39151 Corn-belt

Ohio Ohio CRD 30 39030 Summit 39153 Corn-belt

Ohio Ohio CRD 30 39030 Trumbull 39155 Corn-belt

Ohio Ohio CRD 60 39060 Tuscarawas 39157 Corn-belt

Ohio Ohio CRD 50 39050 Union 39159 Corn-belt

Ohio Ohio CRD 10 39010 Van Wert 39161 Corn-belt

Ohio Ohio CRD 90 39090 Vinton 39163 Corn-belt

Ohio Ohio CRD 70 39070 Warren 39165 Corn-belt

Ohio Ohio CRD 90 39090 Washington 39167 Corn-belt

Ohio Ohio CRD 30 39030 Wayne 39169 Corn-belt

Ohio Ohio CRD 10 39010 Williams 39171 Corn-belt

Ohio Ohio CRD 10 39010 Wood 39173 Corn-belt

Ohio Ohio CRD 20 39020 Wyandot 39175 Corn-belt

Oklahoma Oklahoma CRD 80 40080 Adair 40001 Southern-plains

Oklahoma Oklahoma CRD 40 40040 Alfalfa 40003 Southern-plains

Oklahoma Oklahoma CRD 60 40060 Atoka 40005 Southern-plains

Oklahoma Oklahoma CRD 10 40010 Beaver 40007 Southern-plains
80﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Oklahoma Oklahoma CRD 20 40020 Beckham 40009 Southern-plains

Oklahoma Oklahoma CRD 20 40020 Blaine 40011 Southern-plains

Oklahoma Oklahoma CRD 60 40060 Bryan 40013 Southern-plains

Oklahoma Oklahoma CRD 30 40030 Caddo 40015 Southern-plains

Oklahoma Oklahoma CRD 50 40050 Canadian 40017 Southern-plains

Oklahoma Oklahoma CRD 60 40060 Carter 40019 Southern-plains

Oklahoma Oklahoma CRD 80 40080 Cherokee 40021 Southern-plains

Oklahoma Oklahoma CRD 90 40090 Choctaw 40023 Southern-plains

Oklahoma Oklahoma CRD 10 40010 Cimarron 40025 Southern-plains

Oklahoma Oklahoma CRD 50 40050 Cleveland 40027 Southern-plains

Oklahoma Oklahoma CRD 60 40060 Coal 40029 Southern-plains

Oklahoma Oklahoma CRD 30 40030 Comanche 40031 Southern-plains

Oklahoma Oklahoma CRD 30 40030 Cotton 40033 Southern-plains

Oklahoma Oklahoma CRD 70 40070 Craig 40035 Southern-plains

Oklahoma Oklahoma CRD 50 40050 Creek 40037 Southern-plains

Oklahoma Oklahoma CRD 20 40020 Custer 40039 Southern-plains

Oklahoma Oklahoma CRD 70 40070 Delaware 40041 Southern-plains

Oklahoma Oklahoma CRD 20 40020 Dewey 40043 Southern-plains

Oklahoma Oklahoma CRD 10 40010 Ellis 40045 Southern-plains

Oklahoma Oklahoma CRD 40 40040 Garfield 40047 Southern-plains

Oklahoma Oklahoma CRD 60 40060 Garvin 40049 Southern-plains

Oklahoma Oklahoma CRD 50 40050 Grady 40051 Southern-plains

Oklahoma Oklahoma CRD 40 40040 Grant 40053 Southern-plains

Oklahoma Oklahoma CRD 30 40030 Greer 40055 Southern-plains

Oklahoma Oklahoma CRD 30 40030 Harmon 40057 Southern-plains

Oklahoma Oklahoma CRD 10 40010 Harper 40059 Southern-plains

Oklahoma Oklahoma CRD 80 40080 Haskell 40061 Southern-plains

Oklahoma Oklahoma CRD 80 40080 Hughes 40063 Southern-plains

Oklahoma Oklahoma CRD 30 40030 Jackson 40065 Southern-plains

Oklahoma Oklahoma CRD 60 40060 Jefferson 40067 Southern-plains

Oklahoma Oklahoma CRD 60 40060 Johnston 40069 Southern-plains

Oklahoma Oklahoma CRD 40 40040 Kay 40071 Southern-plains

Oklahoma Oklahoma CRD 50 40050 Kingfisher 40073 Southern-plains

Oklahoma Oklahoma CRD 30 40030 Kiowa 40075 Southern-plains

Oklahoma Oklahoma CRD 90 40090 Latimer 40077 Southern-plains

Oklahoma Oklahoma CRD 90 40090 Le Flore 40079 Southern-plains

Oklahoma Oklahoma CRD 50 40050 Lincoln 40081 Southern-plains

Oklahoma Oklahoma CRD 50 40050 Logan 40083 Southern-plains

Oklahoma Oklahoma CRD 60 40060 Love 40085 Southern-plains

Oklahoma Oklahoma CRD 50 40050 McClain 40087 Southern-plains

Oklahoma Oklahoma CRD 90 40090 McCurtain 40089 Southern-plains

Oklahoma Oklahoma CRD 80 40080 McIntosh 40091 Southern-plains
Tables﻿ ﻿ 81

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Oklahoma Oklahoma CRD 40 40040 Major 40093 Southern-plains

Oklahoma Oklahoma CRD 60 40060 Marshall 40095 Southern-plains

Oklahoma Oklahoma CRD 70 40070 Mayes 40097 Southern-plains

Oklahoma Oklahoma CRD 60 40060 Murray 40099 Southern-plains

Oklahoma Oklahoma CRD 80 40080 Muskogee 40101 Southern-plains

Oklahoma Oklahoma CRD 40 40040 Noble 40103 Southern-plains

Oklahoma Oklahoma CRD 70 40070 Nowata 40105 Southern-plains

Oklahoma Oklahoma CRD 50 40050 Okfuskee 40107 Southern-plains

Oklahoma Oklahoma CRD 50 40050 Oklahoma 40109 Southern-plains

Oklahoma Oklahoma CRD 80 40080 Okmulgee 40111 Southern-plains

Oklahoma Oklahoma CRD 70 40070 Osage 40113 Southern-plains

Oklahoma Oklahoma CRD 70 40070 Ottawa 40115 Southern-plains

Oklahoma Oklahoma CRD 70 40070 Pawnee 40117 Southern-plains

Oklahoma Oklahoma CRD 50 40050 Payne 40119 Southern-plains

Oklahoma Oklahoma CRD 80 40080 Pittsburg 40121 Southern-plains

Oklahoma Oklahoma CRD 60 40060 Pontotoc 40123 Southern-plains

Oklahoma Oklahoma CRD 50 40050 Pottawatomie 40125 Southern-plains

Oklahoma Oklahoma CRD 90 40090 Pushmataha 40127 Southern-plains

Oklahoma Oklahoma CRD 20 40020 Roger Mills 40129 Southern-plains

Oklahoma Oklahoma CRD 70 40070 Rogers 40131 Southern-plains

Oklahoma Oklahoma CRD 50 40050 Seminole 40133 Southern-plains

Oklahoma Oklahoma CRD 80 40080 Sequoyah 40135 Southern-plains

Oklahoma Oklahoma CRD 60 40060 Stephens 40137 Southern-plains

Oklahoma Oklahoma CRD 10 40010 Texas 40139 Southern-plains

Oklahoma Oklahoma CRD 30 40030 Tillman 40141 Southern-plains

Oklahoma Oklahoma CRD 70 40070 Tulsa 40143 Southern-plains

Oklahoma Oklahoma CRD 70 40070 Wagoner 40145 Southern-plains

Oklahoma Oklahoma CRD 70 40070 Washington 40147 Southern-plains

Oklahoma Oklahoma CRD 20 40020 Washita 40149 Southern-plains

Oklahoma Oklahoma CRD 40 40040 Woods 40151 Southern-plains

Oklahoma Oklahoma CRD 40 40040 Woodward 40153 Southern-plains

Oregon Oregon CRD 30 41030 Baker 41001 Pacific

Oregon Oregon CRD 10 41010 Benton 41003 Pacific

Oregon Oregon CRD 10 41010 Clackamas 41005 Pacific

Oregon Oregon CRD 10 41010 Clatsop 41007 Pacific

Oregon Oregon CRD 10 41010 Columbia 41009 Pacific

Oregon Oregon CRD 70 41070 Coos 41011 Pacific

Oregon Oregon CRD 80 41080 Crook 41013 Pacific

Oregon Oregon CRD 70 41070 Curry 41015 Pacific

Oregon Oregon CRD 80 41080 Deschutes 41017 Pacific

Oregon Oregon CRD 70 41070 Douglas 41019 Pacific

Oregon Oregon CRD 20 41020 Gilliam 41021 Pacific
82﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Oregon Oregon CRD 80 41080 Grant 41023 Pacific

Oregon Oregon CRD 80 41080 Harney 41025 Pacific

Oregon Oregon CRD 20 41020 Hood River 41027 Pacific

Oregon Oregon CRD 70 41070 Jackson 41029 Pacific

Oregon Oregon CRD 80 41080 Jefferson 41031 Pacific

Oregon Oregon CRD 70 41070 Josephine 41033 Pacific

Oregon Oregon CRD 80 41080 Klamath 41035 Pacific

Oregon Oregon CRD 80 41080 Lake 41037 Pacific

Oregon Oregon CRD 10 41010 Lane 41039 Pacific

Oregon Oregon CRD 10 41010 Lincoln 41041 Pacific

Oregon Oregon CRD 10 41010 Linn 41043 Pacific

Oregon Oregon CRD 80 41080 Malheur 41045 Pacific

Oregon Oregon CRD 10 41010 Marion 41047 Pacific

Oregon Oregon CRD 20 41020 Morrow 41049 Pacific

Oregon Oregon CRD 10 41010 Multnomah 41051 Pacific

Oregon Oregon CRD 10 41010 Polk 41053 Pacific

Oregon Oregon CRD 20 41020 Sherman 41055 Pacific

Oregon Oregon CRD 10 41010 Tillamook 41057 Pacific

Oregon Oregon CRD 30 41030 Umatilla 41059 Pacific

Oregon Oregon CRD 30 41030 Union 41061 Pacific

Oregon Oregon CRD 30 41030 Wallowa 41063 Pacific

Oregon Oregon CRD 20 41020 Wasco 41065 Pacific

Oregon Oregon CRD 10 41010 Washington 41067 Pacific

Oregon Oregon CRD 80 41080 Wheeler 41069 Pacific

Oregon Oregon CRD 10 41010 Yamhill 41071 Pacific

Pennsylvania Pennsylvania CRD 80 42080 Adams 42001 Northeast

Pennsylvania Pennsylvania CRD 70 42070 Allegheny 42003 Northeast

Pennsylvania Pennsylvania CRD 40 42040 Armstrong 42005 Northeast

Pennsylvania Pennsylvania CRD 40 42040 Beaver 42007 Northeast

Pennsylvania Pennsylvania CRD 80 42080 Bedford 42009 Northeast

Pennsylvania Pennsylvania CRD 90 42090 Berks 42011 Northeast

Pennsylvania Pennsylvania CRD 50 42050 Blair 42013 Northeast

Pennsylvania Pennsylvania CRD 20 42020 Bradford 42015 Northeast

Pennsylvania Pennsylvania CRD 90 42090 Bucks 42017 Northeast

Pennsylvania Pennsylvania CRD 40 42040 Butler 42019 Northeast

Pennsylvania Pennsylvania CRD 50 42050 Cambria 42021 Northeast

Pennsylvania Pennsylvania CRD 20 42020 Cameron 42023 Northeast

Pennsylvania Pennsylvania CRD 60 42060 Carbon 42025 Northeast

Pennsylvania Pennsylvania CRD 50 42050 Centre 42027 Northeast

Pennsylvania Pennsylvania CRD 90 42090 Chester 42029 Northeast

Pennsylvania Pennsylvania CRD 40 42040 Clarion 42031 Northeast

Pennsylvania Pennsylvania CRD 50 42050 Clearfield 42033 Northeast
Tables﻿ ﻿ 83

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Pennsylvania Pennsylvania CRD 20 42020 Clinton 42035 Northeast

Pennsylvania Pennsylvania CRD 50 42050 Columbia 42037 Northeast

Pennsylvania Pennsylvania CRD 10 42010 Crawford 42039 Northeast

Pennsylvania Pennsylvania CRD 80 42080 Cumberland 42041 Northeast

Pennsylvania Pennsylvania CRD 50 42050 Dauphin 42043 Northeast

Pennsylvania Pennsylvania CRD 90 42090 Delaware 42045 Northeast

Pennsylvania Pennsylvania CRD 20 42020 Elk 42047 Northeast

Pennsylvania Pennsylvania CRD 10 42010 Erie 42049 Northeast

Pennsylvania Pennsylvania CRD 70 42070 Fayette 42051 Northeast

Pennsylvania Pennsylvania CRD 10 42010 Forest 42053 Northeast

Pennsylvania Pennsylvania CRD 80 42080 Franklin 42055 Northeast

Pennsylvania Pennsylvania CRD 80 42080 Fulton 42057 Northeast

Pennsylvania Pennsylvania CRD 70 42070 Greene 42059 Northeast

Pennsylvania Pennsylvania CRD 50 42050 Huntingdon 42061 Northeast

Pennsylvania Pennsylvania CRD 40 42040 Indiana 42063 Northeast

Pennsylvania Pennsylvania CRD 40 42040 Jefferson 42065 Northeast

Pennsylvania Pennsylvania CRD 50 42050 Juniata 42067 Northeast

Pennsylvania Pennsylvania CRD 30 42030 Lackawanna 42069 Northeast

Pennsylvania Pennsylvania CRD 90 42090 Lancaster 42071 Northeast

Pennsylvania Pennsylvania CRD 40 42040 Lawrence 42073 Northeast

Pennsylvania Pennsylvania CRD 90 42090 Lebanon 42075 Northeast

Pennsylvania Pennsylvania CRD 60 42060 Lehigh 42077 Northeast

Pennsylvania Pennsylvania CRD 60 42060 Luzerne 42079 Northeast

Pennsylvania Pennsylvania CRD 20 42020 Lycoming 42081 Northeast

Pennsylvania Pennsylvania CRD 20 42020 Mckean 42083 Northeast

Pennsylvania Pennsylvania CRD 10 42010 Mercer 42085 Northeast

Pennsylvania Pennsylvania CRD 50 42050 Mifflin 42087 Northeast

Pennsylvania Pennsylvania CRD 60 42060 Monroe 42089 Northeast

Pennsylvania Pennsylvania CRD 90 42090 Montgomery 42091 Northeast

Pennsylvania Pennsylvania CRD 50 42050 Montour 42093 Northeast

Pennsylvania Pennsylvania CRD 60 42060 Northampton 42095 Northeast

Pennsylvania Pennsylvania CRD 50 42050 Northumberland 42097 Northeast

Pennsylvania Pennsylvania CRD 50 42050 Perry 42099 Northeast

Pennsylvania Pennsylvania CRD 90 42090 Philadelphia 42101 Northeast

Pennsylvania Pennsylvania CRD 60 42060 Pike 42103 Northeast

Pennsylvania Pennsylvania CRD 20 42020 Potter 42105 Northeast

Pennsylvania Pennsylvania CRD 60 42060 Schuylkill 42107 Northeast

Pennsylvania Pennsylvania CRD 50 42050 Snyder 42109 Northeast

Pennsylvania Pennsylvania CRD 70 42070 Somerset 42111 Northeast

Pennsylvania Pennsylvania CRD 20 42020 Sullivan 42113 Northeast

Pennsylvania Pennsylvania CRD 30 42030 Susquehanna 42115 Northeast

Pennsylvania Pennsylvania CRD 20 42020 Tioga 42117 Northeast
84﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Pennsylvania Pennsylvania CRD 50 42050 Union 42119 Northeast

Pennsylvania Pennsylvania CRD 10 42010 Venango 42121 Northeast

Pennsylvania Pennsylvania CRD 10 42010 Warren 42123 Northeast

Pennsylvania Pennsylvania CRD 70 42070 Washington 42125 Northeast

Pennsylvania Pennsylvania CRD 30 42030 Wayne 42127 Northeast

Pennsylvania Pennsylvania CRD 70 42070 Westmoreland 42129 Northeast

Pennsylvania Pennsylvania CRD 30 42030 Wyoming 42131 Northeast

Pennsylvania Pennsylvania CRD 80 42080 York 42133 Northeast

Rhode Island Rhode island CRD 10 44010 Bristol 44001 Northeast

Rhode Island Rhode island CRD 10 44010 Kent 44003 Northeast

Rhode Island Rhode island CRD 10 44010 Newport 44005 Northeast

Rhode Island Rhode island CRD 10 44010 Providence 44007 Northeast

Rhode Island Rhode island CRD 10 44010 Washington 44009 Northeast

South Carolina South Carolina CRD 40 45040 Abbeville 45001 Southeast

South Carolina South Carolina CRD 40 45040 Aiken 45003 Southeast

South Carolina South Carolina CRD 80 45080 Allendale 45005 Southeast

South Carolina South Carolina CRD 10 45010 Anderson 45007 Southeast

South Carolina South Carolina CRD 80 45080 Bamberg 45009 Southeast

South Carolina South Carolina CRD 80 45080 Barnwell 45011 Southeast

South Carolina South Carolina CRD 80 45080 Beaufort 45013 Southeast

South Carolina South Carolina CRD 80 45080 Berkeley 45015 Southeast

South Carolina South Carolina CRD 50 45050 Calhoun 45017 Southeast

South Carolina South Carolina CRD 80 45080 Charleston 45019 Southeast

South Carolina South Carolina CRD 10 45010 Cherokee 45021 Southeast

South Carolina South Carolina CRD 20 45020 Chester 45023 Southeast

South Carolina South Carolina CRD 30 45030 Chesterfield 45025 Southeast

South Carolina South Carolina CRD 50 45050 Clarendon 45027 Southeast

South Carolina South Carolina CRD 80 45080 Colleton 45029 Southeast

South Carolina South Carolina CRD 30 45030 Darlington 45031 Southeast

South Carolina South Carolina CRD 30 45030 Dillon 45033 Southeast

South Carolina South Carolina CRD 80 45080 Dorchester 45035 Southeast

South Carolina South Carolina CRD 40 45040 Edgefield 45037 Southeast

South Carolina South Carolina CRD 20 45020 Fairfield 45039 Southeast

South Carolina South Carolina CRD 30 45030 Florence 45041 Southeast

South Carolina South Carolina CRD 30 45030 Georgetown 45043 Southeast

South Carolina South Carolina CRD 10 45010 Greenville 45045 Southeast

South Carolina South Carolina CRD 40 45040 Greenwood 45047 Southeast

South Carolina South Carolina CRD 80 45080 Hampton 45049 Southeast

South Carolina South Carolina CRD 30 45030 Horry 45051 Southeast

South Carolina South Carolina CRD 80 45080 Jasper 45053 Southeast

South Carolina South Carolina CRD 20 45020 Kershaw 45055 Southeast

South Carolina South Carolina CRD 20 45020 Lancaster 45057 Southeast
Tables﻿ ﻿ 85

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

South Carolina South Carolina CRD 10 45010 Laurens 45059 Southeast

South Carolina South Carolina CRD 50 45050 Lee 45061 Southeast

South Carolina South Carolina CRD 50 45050 Lexington 45063 Southeast

South Carolina South Carolina CRD 40 45040 McCormick 45065 Southeast

South Carolina South Carolina CRD 30 45030 Marion 45067 Southeast

South Carolina South Carolina CRD 30 45030 Marlboro 45069 Southeast

South Carolina South Carolina CRD 40 45040 Newberry 45071 Southeast

South Carolina South Carolina CRD 10 45010 Oconee 45073 Southeast

South Carolina South Carolina CRD 50 45050 Orangeburg 45075 Southeast

South Carolina South Carolina CRD 10 45010 Pickens 45077 Southeast

South Carolina South Carolina CRD 50 45050 Richland 45079 Southeast

South Carolina South Carolina CRD 40 45040 Saluda 45081 Southeast

South Carolina South Carolina CRD 10 45010 Spartanburg 45083 Southeast

South Carolina South Carolina CRD 50 45050 Sumter 45085 Southeast

South Carolina South Carolina CRD 10 45010 Union 45087 Southeast

South Carolina South Carolina CRD 30 45030 Williamsburg 45089 Southeast

South Carolina South Carolina CRD 20 45020 York 45091 Southeast

South Dakota South Dakota CRD 50 46050 Aurora 46003 Northern-plains

South Dakota South Dakota CRD 50 46050 Beadle 46005 Northern-plains

South Dakota South Dakota CRD 70 46070 Bennett 46007 Northern-plains

South Dakota South Dakota CRD 90 46090 Bon Homme 46009 Northern-plains

South Dakota South Dakota CRD 60 46060 Brookings 46011 Northern-plains

South Dakota South Dakota CRD 20 46020 Brown 46013 Northern-plains

South Dakota South Dakota CRD 50 46050 Brule 46015 Northern-plains

South Dakota South Dakota CRD 50 46050 Buffalo 46017 Northern-plains

South Dakota South Dakota CRD 10 46010 Butte 46019 Northern-plains

South Dakota South Dakota CRD 20 46020 Campbell 46021 Northern-plains

South Dakota South Dakota CRD 90 46090 Charles Mix 46023 Northern-plains

South Dakota South Dakota CRD 30 46030 Clark 46025 Northern-plains

South Dakota South Dakota CRD 90 46090 Clay 46027 Northern-plains

South Dakota South Dakota CRD 30 46030 Codington 46029 Northern-plains

South Dakota South Dakota CRD 10 46010 Corson 46031 Northern-plains

South Dakota South Dakota CRD 70 46070 Custer 46033 Northern-plains

South Dakota South Dakota CRD 60 46060 Davison 46035 Northern-plains

South Dakota South Dakota CRD 30 46030 Day 46037 Northern-plains

South Dakota South Dakota CRD 30 46030 Deuel 46039 Northern-plains

South Dakota South Dakota CRD 10 46010 Dewey 46041 Northern-plains

South Dakota South Dakota CRD 90 46090 Douglas 46043 Northern-plains

South Dakota South Dakota CRD 20 46020 Edmunds 46045 Northern-plains

South Dakota South Dakota CRD 70 46070 Fall River 46047 Northern-plains

South Dakota South Dakota CRD 20 46020 Faulk 46049 Northern-plains

South Dakota South Dakota CRD 30 46030 Grant 46051 Northern-plains
86﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

South Dakota South Dakota CRD 80 46080 Gregory 46053 Northern-plains

South Dakota South Dakota CRD 40 46040 Haakon 46055 Northern-plains

South Dakota South Dakota CRD 30 46030 Hamlin 46057 Northern-plains

South Dakota South Dakota CRD 50 46050 Hand 46059 Northern-plains

South Dakota South Dakota CRD 60 46060 Hanson 46061 Northern-plains

South Dakota South Dakota CRD 10 46010 Harding 46063 Northern-plains

South Dakota South Dakota CRD 50 46050 Hughes 46065 Northern-plains

South Dakota South Dakota CRD 90 46090 Hutchinson 46067 Northern-plains

South Dakota South Dakota CRD 50 46050 Hyde 46069 Northern-plains

South Dakota South Dakota CRD 40 46040 Jackson 46071 Northern-plains

South Dakota South Dakota CRD 50 46050 Jerauld 46073 Northern-plains

South Dakota South Dakota CRD 80 46080 Jones 46075 Northern-plains

South Dakota South Dakota CRD 60 46060 Kingsbury 46077 Northern-plains

South Dakota South Dakota CRD 60 46060 Lake 46079 Northern-plains

South Dakota South Dakota CRD 40 46040 Lawrence 46081 Northern-plains

South Dakota South Dakota CRD 90 46090 Lincoln 46083 Northern-plains

South Dakota South Dakota CRD 80 46080 Lyman 46085 Northern-plains

South Dakota South Dakota CRD 60 46060 Mccook 46087 Northern-plains

South Dakota South Dakota CRD 20 46020 McPherson 46089 Northern-plains

South Dakota South Dakota CRD 30 46030 Marshall 46091 Northern-plains

South Dakota South Dakota CRD 40 46040 Meade 46093 Northern-plains

South Dakota South Dakota CRD 80 46080 Mellette 46095 Northern-plains

South Dakota South Dakota CRD 60 46060 Miner 46097 Northern-plains

South Dakota South Dakota CRD 60 46060 Minnehaha 46099 Northern-plains

South Dakota South Dakota CRD 60 46060 Moody 46101 Northern-plains

South Dakota South Dakota CRD 40 46040 Pennington 46103 Northern-plains

South Dakota South Dakota CRD 10 46010 Perkins 46105 Northern-plains

South Dakota South Dakota CRD 20 46020 Potter 46107 Northern-plains

South Dakota South Dakota CRD 30 46030 Roberts 46109 Northern-plains

South Dakota South Dakota CRD 60 46060 Sanborn 46111 Northern-plains

South Dakota South Dakota CRD 70 46070 Shannon 46113 Northern-plains

South Dakota South Dakota CRD 20 46020 Spink 46115 Northern-plains

South Dakota South Dakota CRD 40 46040 Stanley 46117 Northern-plains

South Dakota South Dakota CRD 50 46050 Sully 46119 Northern-plains

South Dakota South Dakota CRD 80 46080 Todd 46121 Northern-plains

South Dakota South Dakota CRD 80 46080 Tripp 46123 Northern-plains

South Dakota South Dakota CRD 90 46090 Turner 46125 Northern-plains

South Dakota South Dakota CRD 90 46090 Union 46127 Northern-plains

South Dakota South Dakota CRD 20 46020 Walworth 46129 Northern-plains

South Dakota South Dakota CRD 90 46090 Yankton 46135 Northern-plains

South Dakota South Dakota CRD 10 46010 Ziebach 46137 Northern-plains

Tennessee Tennessee CRD 60 47060 Anderson 47001 Appalachian
Tables﻿ ﻿ 87

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Tennessee Tennessee CRD 40 47040 Bedford 47003 Appalachian

Tennessee Tennessee CRD 20 47020 Benton 47005 Appalachian

Tennessee Tennessee CRD 50 47050 Bledsoe 47007 Appalachian

Tennessee Tennessee CRD 60 47060 Blount 47009 Appalachian

Tennessee Tennessee CRD 60 47060 Bradley 47011 Appalachian

Tennessee Tennessee CRD 60 47060 Campbell 47013 Appalachian

Tennessee Tennessee CRD 40 47040 Cannon 47015 Appalachian

Tennessee Tennessee CRD 20 47020 Carroll 47017 Appalachian

Tennessee Tennessee CRD 60 47060 Carter 47019 Appalachian

Tennessee Tennessee CRD 30 47030 Cheatham 47021 Appalachian

Tennessee Tennessee CRD 20 47020 Chester 47023 Appalachian

Tennessee Tennessee CRD 60 47060 Claiborne 47025 Appalachian

Tennessee Tennessee CRD 40 47040 Clay 47027 Appalachian

Tennessee Tennessee CRD 60 47060 Cocke 47029 Appalachian

Tennessee Tennessee CRD 50 47050 Coffee 47031 Appalachian

Tennessee Tennessee CRD 20 47020 Crockett 47033 Appalachian

Tennessee Tennessee CRD 50 47050 Cumberland 47035 Appalachian

Tennessee Tennessee CRD 40 47040 Davidson 47037 Appalachian

Tennessee Tennessee CRD 20 47020 Decatur 47039 Appalachian

Tennessee Tennessee CRD 40 47040 De Kalb 47041 Appalachian

Tennessee Tennessee CRD 30 47030 Dickson 47043 Appalachian

Tennessee Tennessee CRD 10 47010 Dyer 47045 Appalachian

Tennessee Tennessee CRD 20 47020 Fayette 47047 Appalachian

Tennessee Tennessee CRD 50 47050 Fentress 47049 Appalachian

Tennessee Tennessee CRD 50 47050 Franklin 47051 Appalachian

Tennessee Tennessee CRD 20 47020 Gibson 47053 Appalachian

Tennessee Tennessee CRD 40 47040 Giles 47055 Appalachian

Tennessee Tennessee CRD 60 47060 Grainger 47057 Appalachian

Tennessee Tennessee CRD 60 47060 Greene 47059 Appalachian

Tennessee Tennessee CRD 50 47050 Grundy 47061 Appalachian

Tennessee Tennessee CRD 60 47060 Hamblen 47063 Appalachian

Tennessee Tennessee CRD 60 47060 Hamilton 47065 Appalachian

Tennessee Tennessee CRD 60 47060 Hancock 47067 Appalachian

Tennessee Tennessee CRD 20 47020 Hardeman 47069 Appalachian

Tennessee Tennessee CRD 20 47020 Hardin 47071 Appalachian

Tennessee Tennessee CRD 60 47060 Hawkins 47073 Appalachian

Tennessee Tennessee CRD 20 47020 Haywood 47075 Appalachian

Tennessee Tennessee CRD 20 47020 Henderson 47077 Appalachian

Tennessee Tennessee CRD 20 47020 Henry 47079 Appalachian

Tennessee Tennessee CRD 30 47030 Hickman 47081 Appalachian

Tennessee Tennessee CRD 30 47030 Houston 47083 Appalachian

Tennessee Tennessee CRD 30 47030 Humphreys 47085 Appalachian
88﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Tennessee Tennessee CRD 40 47040 Jackson 47087 Appalachian

Tennessee Tennessee CRD 60 47060 Jefferson 47089 Appalachian

Tennessee Tennessee CRD 60 47060 Johnson 47091 Appalachian

Tennessee Tennessee CRD 60 47060 Knox 47093 Appalachian

Tennessee Tennessee CRD 10 47010 Lake 47095 Appalachian

Tennessee Tennessee CRD 10 47010 Lauderdale 47097 Appalachian

Tennessee Tennessee CRD 30 47030 Lawrence 47099 Appalachian

Tennessee Tennessee CRD 30 47030 Lewis 47101 Appalachian

Tennessee Tennessee CRD 40 47040 Lincoln 47103 Appalachian

Tennessee Tennessee CRD 60 47060 Loudon 47105 Appalachian

Tennessee Tennessee CRD 60 47060 Mcminn 47107 Appalachian

Tennessee Tennessee CRD 20 47020 Mcnairy 47109 Appalachian

Tennessee Tennessee CRD 40 47040 Macon 47111 Appalachian

Tennessee Tennessee CRD 20 47020 Madison 47113 Appalachian

Tennessee Tennessee CRD 50 47050 Marion 47115 Appalachian

Tennessee Tennessee CRD 40 47040 Marshall 47117 Appalachian

Tennessee Tennessee CRD 40 47040 Maury 47119 Appalachian

Tennessee Tennessee CRD 60 47060 Meigs 47121 Appalachian

Tennessee Tennessee CRD 60 47060 Monroe 47123 Appalachian

Tennessee Tennessee CRD 30 47030 Montgomery 47125 Appalachian

Tennessee Tennessee CRD 40 47040 Moore 47127 Appalachian

Tennessee Tennessee CRD 50 47050 Morgan 47129 Appalachian

Tennessee Tennessee CRD 10 47010 Obion 47131 Appalachian

Tennessee Tennessee CRD 50 47050 Overton 47133 Appalachian

Tennessee Tennessee CRD 30 47030 Perry 47135 Appalachian

Tennessee Tennessee CRD 50 47050 Pickett 47137 Appalachian

Tennessee Tennessee CRD 60 47060 Polk 47139 Appalachian

Tennessee Tennessee CRD 50 47050 Putnam 47141 Appalachian

Tennessee Tennessee CRD 60 47060 Rhea 47143 Appalachian

Tennessee Tennessee CRD 60 47060 Roane 47145 Appalachian

Tennessee Tennessee CRD 30 47030 Robertson 47147 Appalachian

Tennessee Tennessee CRD 40 47040 Rutherford 47149 Appalachian

Tennessee Tennessee CRD 50 47050 Scott 47151 Appalachian

Tennessee Tennessee CRD 50 47050 Sequatchie 47153 Appalachian

Tennessee Tennessee CRD 60 47060 Sevier 47155 Appalachian

Tennessee Tennessee CRD 10 47010 Shelby 47157 Appalachian

Tennessee Tennessee CRD 40 47040 Smith 47159 Appalachian

Tennessee Tennessee CRD 30 47030 Stewart 47161 Appalachian

Tennessee Tennessee CRD 60 47060 Sullivan 47163 Appalachian

Tennessee Tennessee CRD 40 47040 Sumner 47165 Appalachian

Tennessee Tennessee CRD 10 47010 Tipton 47167 Appalachian

Tennessee Tennessee CRD 40 47040 Trousdale 47169 Appalachian
Tables﻿ ﻿ 89

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Tennessee Tennessee CRD 60 47060 Unicoi 47171 Appalachian

Tennessee Tennessee CRD 60 47060 Union 47173 Appalachian

Tennessee Tennessee CRD 50 47050 Van Buren 47175 Appalachian

Tennessee Tennessee CRD 50 47050 Warren 47177 Appalachian

Tennessee Tennessee CRD 60 47060 Washington 47179 Appalachian

Tennessee Tennessee CRD 30 47030 Wayne 47181 Appalachian

Tennessee Tennessee CRD 20 47020 Weakley 47183 Appalachian

Tennessee Tennessee CRD 50 47050 White 47185 Appalachian

Tennessee Tennessee CRD 40 47040 Williamson 47187 Appalachian

Tennessee Tennessee CRD 40 47040 Wilson 47189 Appalachian

Texas Texas CRD 51 48051 Anderson 48001 Southern-plains

Texas Texas CRD 12 48012 Andrews 48003 Southern-plains

Texas Texas CRD 52 48052 Angelina 48005 Southern-plains

Texas Texas CRD 82 48082 Aransas 48007 Southern-plains

Texas Texas CRD 30 48030 Archer 48009 Southern-plains

Texas Texas CRD 11 48011 Armstrong 48011 Southern-plains

Texas Texas CRD 96 48096 Atascosa 48013 Southern-plains

Texas Texas CRD 81 48081 Austin 48015 Southern-plains

Texas Texas CRD 12 48012 Bailey 48017 Southern-plains

Texas Texas CRD 70 48070 Bandera 48019 Southern-plains

Texas Texas CRD 81 48081 Bastrop 48021 Southern-plains

Texas Texas CRD 22 48022 Baylor 48023 Southern-plains

Texas Texas CRD 81 48081 Bee 48025 Southern-plains

Texas Texas CRD 40 48040 Bell 48027 Southern-plains

Texas Texas CRD 81 48081 Bexar 48029 Southern-plains

Texas Texas CRD 70 48070 Blanco 48031 Southern-plains

Texas Texas CRD 21 48021 Borden 48033 Southern-plains

Texas Texas CRD 40 48040 Bosque 48035 Southern-plains

Texas Texas CRD 51 48051 Bowie 48037 Southern-plains

Texas Texas CRD 90 48090 Brazoria 48039 Southern-plains

Texas Texas CRD 52 48052 Brazos 48041 Southern-plains

Texas Texas CRD 60 48060 Brewster 48043 Southern-plains

Texas Texas CRD 11 48011 Briscoe 48045 Southern-plains

Texas Texas CRD 96 48096 Brooks 48047 Southern-plains

Texas Texas CRD 30 48030 Brown 48049 Southern-plains

Texas Texas CRD 81 48081 Burleson 48051 Southern-plains

Texas Texas CRD 70 48070 Burnet 48053 Southern-plains

Texas Texas CRD 81 48081 Caldwell 48055 Southern-plains

Texas Texas CRD 90 48090 Calhoun 48057 Southern-plains

Texas Texas CRD 30 48030 Callahan 48059 Southern-plains

Texas Texas CRD 97 48097 Cameron 48061 Southern-plains

Texas Texas CRD 51 48051 Camp 48063 Southern-plains
90﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Texas Texas CRD 11 48011 Carson 48065 Southern-plains

Texas Texas CRD 51 48051 Cass 48067 Southern-plains

Texas Texas CRD 11 48011 Castro 48069 Southern-plains

Texas Texas CRD 90 48090 Chambers 48071 Southern-plains

Texas Texas CRD 51 48051 Cherokee 48073 Southern-plains

Texas Texas CRD 21 48021 Childress 48075 Southern-plains

Texas Texas CRD 30 48030 Clay 48077 Southern-plains

Texas Texas CRD 12 48012 Cochran 48079 Southern-plains

Texas Texas CRD 70 48070 Coke 48081 Southern-plains

Texas Texas CRD 22 48022 Coleman 48083 Southern-plains

Texas Texas CRD 40 48040 Collin 48085 Southern-plains

Texas Texas CRD 21 48021 Collingsworth 48087 Southern-plains

Texas Texas CRD 81 48081 Colorado 48089 Southern-plains

Texas Texas CRD 81 48081 Comal 48091 Southern-plains

Texas Texas CRD 30 48030 Comanche 48093 Southern-plains

Texas Texas CRD 70 48070 Concho 48095 Southern-plains

Texas Texas CRD 40 48040 Cooke 48097 Southern-plains

Texas Texas CRD 40 48040 Coryell 48099 Southern-plains

Texas Texas CRD 21 48021 Cottle 48101 Southern-plains

Texas Texas CRD 60 48060 Crane 48103 Southern-plains

Texas Texas CRD 70 48070 Crockett 48105 Southern-plains

Texas Texas CRD 12 48012 Crosby 48107 Southern-plains

Texas Texas CRD 60 48060 Culberson 48109 Southern-plains

Texas Texas CRD 11 48011 Dallam 48111 Southern-plains

Texas Texas CRD 40 48040 Dallas 48113 Southern-plains

Texas Texas CRD 12 48012 Dawson 48115 Southern-plains

Texas Texas CRD 11 48011 Deaf Smith 48117 Southern-plains

Texas Texas CRD 40 48040 Delta 48119 Southern-plains

Texas Texas CRD 40 48040 Denton 48121 Southern-plains

Texas Texas CRD 81 48081 De Witt 48123 Southern-plains

Texas Texas CRD 21 48021 Dickens 48125 Southern-plains

Texas Texas CRD 96 48096 Dimmit 48127 Southern-plains

Texas Texas CRD 21 48021 Donley 48129 Southern-plains

Texas Texas CRD 96 48096 Duval 48131 Southern-plains

Texas Texas CRD 30 48030 Eastland 48133 Southern-plains

Texas Texas CRD 60 48060 Ector 48135 Southern-plains

Texas Texas CRD 70 48070 Edwards 48137 Southern-plains

Texas Texas CRD 40 48040 Ellis 48139 Southern-plains

Texas Texas CRD 60 48060 El Paso 48141 Southern-plains

Texas Texas CRD 30 48030 Erath 48143 Southern-plains

Texas Texas CRD 40 48040 Falls 48145 Southern-plains

Texas Texas CRD 40 48040 Fannin 48147 Southern-plains
Tables﻿ ﻿ 91

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Texas Texas CRD 81 48081 Fayette 48149 Southern-plains

Texas Texas CRD 22 48022 Fisher 48151 Southern-plains

Texas Texas CRD 11 48011 Floyd 48153 Southern-plains

Texas Texas CRD 21 48021 Foard 48155 Southern-plains

Texas Texas CRD 90 48090 Fort Bend 48157 Southern-plains

Texas Texas CRD 51 48051 Franklin 48159 Southern-plains

Texas Texas CRD 52 48052 Freestone 48161 Southern-plains

Texas Texas CRD 96 48096 Frio 48163 Southern-plains

Texas Texas CRD 12 48012 Gaines 48165 Southern-plains

Texas Texas CRD 90 48090 Galveston 48167 Southern-plains

Texas Texas CRD 21 48021 Garza 48169 Southern-plains

Texas Texas CRD 70 48070 Gillespie 48171 Southern-plains

Texas Texas CRD 12 48012 Glasscock 48173 Southern-plains

Texas Texas CRD 81 48081 Goliad 48175 Southern-plains

Texas Texas CRD 81 48081 Gonzales 48177 Southern-plains

Texas Texas CRD 11 48011 Gray 48179 Southern-plains

Texas Texas CRD 40 48040 Grayson 48181 Southern-plains

Texas Texas CRD 51 48051 Gregg 48183 Southern-plains

Texas Texas CRD 52 48052 Grimes 48185 Southern-plains

Texas Texas CRD 81 48081 Guadalupe 48187 Southern-plains

Texas Texas CRD 11 48011 Hale 48189 Southern-plains

Texas Texas CRD 21 48021 Hall 48191 Southern-plains

Texas Texas CRD 40 48040 Hamilton 48193 Southern-plains

Texas Texas CRD 11 48011 Hansford 48195 Southern-plains

Texas Texas CRD 21 48021 Hardeman 48197 Southern-plains

Texas Texas CRD 52 48052 Hardin 48199 Southern-plains

Texas Texas CRD 90 48090 Harris 48201 Southern-plains

Texas Texas CRD 51 48051 Harrison 48203 Southern-plains

Texas Texas CRD 11 48011 Hartley 48205 Southern-plains

Texas Texas CRD 22 48022 Haskell 48207 Southern-plains

Texas Texas CRD 81 48081 Hays 48209 Southern-plains

Texas Texas CRD 11 48011 Hemphill 48211 Southern-plains

Texas Texas CRD 51 48051 Henderson 48213 Southern-plains

Texas Texas CRD 97 48097 Hidalgo 48215 Southern-plains

Texas Texas CRD 40 48040 Hill 48217 Southern-plains

Texas Texas CRD 12 48012 Hockley 48219 Southern-plains

Texas Texas CRD 30 48030 Hood 48221 Southern-plains

Texas Texas CRD 51 48051 Hopkins 48223 Southern-plains

Texas Texas CRD 51 48051 Houston 48225 Southern-plains

Texas Texas CRD 12 48012 Howard 48227 Southern-plains

Texas Texas CRD 60 48060 Hudspeth 48229 Southern-plains

Texas Texas CRD 40 48040 Hunt 48231 Southern-plains
92﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Texas Texas CRD 11 48011 Hutchinson 48233 Southern-plains

Texas Texas CRD 70 48070 Irion 48235 Southern-plains

Texas Texas CRD 30 48030 Jack 48237 Southern-plains

Texas Texas CRD 90 48090 Jackson 48239 Southern-plains

Texas Texas CRD 52 48052 Jasper 48241 Southern-plains

Texas Texas CRD 60 48060 Jeff Davis 48243 Southern-plains

Texas Texas CRD 90 48090 Jefferson 48245 Southern-plains

Texas Texas CRD 96 48096 Jim Hogg 48247 Southern-plains

Texas Texas CRD 96 48096 Jim Wells 48249 Southern-plains

Texas Texas CRD 40 48040 Johnson 48251 Southern-plains

Texas Texas CRD 22 48022 Jones 48253 Southern-plains

Texas Texas CRD 81 48081 Karnes 48255 Southern-plains

Texas Texas CRD 40 48040 Kaufman 48257 Southern-plains

Texas Texas CRD 70 48070 Kendall 48259 Southern-plains

Texas Texas CRD 96 48096 Kenedy 48261 Southern-plains

Texas Texas CRD 21 48021 Kent 48263 Southern-plains

Texas Texas CRD 70 48070 Kerr 48265 Southern-plains

Texas Texas CRD 70 48070 Kimble 48267 Southern-plains

Texas Texas CRD 21 48021 King 48269 Southern-plains

Texas Texas CRD 70 48070 Kinney 48271 Southern-plains

Texas Texas CRD 82 48082 Kleberg 48273 Southern-plains

Texas Texas CRD 22 48022 Knox 48275 Southern-plains

Texas Texas CRD 40 48040 Lamar 48277 Southern-plains

Texas Texas CRD 12 48012 Lamb 48279 Southern-plains

Texas Texas CRD 70 48070 Lampasas 48281 Southern-plains

Texas Texas CRD 96 48096 LaSalle 48283 Southern-plains

Texas Texas CRD 81 48081 Lavaca 48285 Southern-plains

Texas Texas CRD 81 48081 Lee 48287 Southern-plains

Texas Texas CRD 52 48052 Leon 48289 Southern-plains

Texas Texas CRD 90 48090 Liberty 48291 Southern-plains

Texas Texas CRD 40 48040 Limestone 48293 Southern-plains

Texas Texas CRD 11 48011 Lipscomb 48295 Southern-plains

Texas Texas CRD 96 48096 Live Oak 48297 Southern-plains

Texas Texas CRD 70 48070 Llano 48299 Southern-plains

Texas Texas CRD 60 48060 Loving 48301 Southern-plains

Texas Texas CRD 12 48012 Lubbock 48303 Southern-plains

Texas Texas CRD 12 48012 Lynn 48305 Southern-plains

Texas Texas CRD 70 48070 McCulloch 48307 Southern-plains

Texas Texas CRD 40 48040 McLennan 48309 Southern-plains

Texas Texas CRD 96 48096 McMullen 48311 Southern-plains

Texas Texas CRD 52 48052 Madison 48313 Southern-plains

Texas Texas CRD 51 48051 Marion 48315 Southern-plains
Tables﻿ ﻿ 93

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Texas Texas CRD 12 48012 Martin 48317 Southern-plains

Texas Texas CRD 70 48070 Mason 48319 Southern-plains

Texas Texas CRD 90 48090 Matagorda 48321 Southern-plains

Texas Texas CRD 96 48096 Maverick 48323 Southern-plains

Texas Texas CRD 81 48081 Medina 48325 Southern-plains

Texas Texas CRD 70 48070 Menard 48327 Southern-plains

Texas Texas CRD 12 48012 Midland 48329 Southern-plains

Texas Texas CRD 40 48040 Milam 48331 Southern-plains

Texas Texas CRD 30 48030 Mills 48333 Southern-plains

Texas Texas CRD 22 48022 Mitchell 48335 Southern-plains

Texas Texas CRD 30 48030 Montague 48337 Southern-plains

Texas Texas CRD 52 48052 Montgomery 48339 Southern-plains

Texas Texas CRD 11 48011 Moore 48341 Southern-plains

Texas Texas CRD 51 48051 Morris 48343 Southern-plains

Texas Texas CRD 21 48021 Motley 48345 Southern-plains

Texas Texas CRD 51 48051 Nacogdoches 48347 Southern-plains

Texas Texas CRD 40 48040 Navarro 48349 Southern-plains

Texas Texas CRD 52 48052 Newton 48351 Southern-plains

Texas Texas CRD 22 48022 Nolan 48353 Southern-plains

Texas Texas CRD 82 48082 Nueces 48355 Southern-plains

Texas Texas CRD 11 48011 Ochiltree 48357 Southern-plains

Texas Texas CRD 11 48011 Oldham 48359 Southern-plains

Texas Texas CRD 90 48090 Orange 48361 Southern-plains

Texas Texas CRD 30 48030 Palo Pinto 48363 Southern-plains

Texas Texas CRD 51 48051 Panola 48365 Southern-plains

Texas Texas CRD 30 48030 Parker 48367 Southern-plains

Texas Texas CRD 11 48011 Parmer 48369 Southern-plains

Texas Texas CRD 60 48060 Pecos 48371 Southern-plains

Texas Texas CRD 52 48052 Polk 48373 Southern-plains

Texas Texas CRD 11 48011 Potter 48375 Southern-plains

Texas Texas CRD 60 48060 Presidio 48377 Southern-plains

Texas Texas CRD 51 48051 Rains 48379 Southern-plains

Texas Texas CRD 11 48011 Randall 48381 Southern-plains

Texas Texas CRD 70 48070 Reagan 48383 Southern-plains

Texas Texas CRD 70 48070 Real 48385 Southern-plains

Texas Texas CRD 51 48051 Red River 48387 Southern-plains

Texas Texas CRD 60 48060 Reeves 48389 Southern-plains

Texas Texas CRD 82 48082 Refugio 48391 Southern-plains

Texas Texas CRD 11 48011 Roberts 48393 Southern-plains

Texas Texas CRD 52 48052 Robertson 48395 Southern-plains

Texas Texas CRD 40 48040 Rockwall 48397 Southern-plains

Texas Texas CRD 22 48022 Runnels 48399 Southern-plains
94﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Texas Texas CRD 51 48051 Rusk 48401 Southern-plains

Texas Texas CRD 52 48052 Sabine 48403 Southern-plains

Texas Texas CRD 52 48052 San Augustine 48405 Southern-plains

Texas Texas CRD 52 48052 San Jacinto 48407 Southern-plains

Texas Texas CRD 82 48082 San Patricio 48409 Southern-plains

Texas Texas CRD 70 48070 San Saba 48411 Southern-plains

Texas Texas CRD 70 48070 Schleicher 48413 Southern-plains

Texas Texas CRD 22 48022 Scurry 48415 Southern-plains

Texas Texas CRD 30 48030 Shackelford 48417 Southern-plains

Texas Texas CRD 51 48051 Shelby 48419 Southern-plains

Texas Texas CRD 11 48011 Sherman 48421 Southern-plains

Texas Texas CRD 51 48051 Smith 48423 Southern-plains

Texas Texas CRD 30 48030 Somervell 48425 Southern-plains

Texas Texas CRD 97 48097 Starr 48427 Southern-plains

Texas Texas CRD 30 48030 Stephens 48429 Southern-plains

Texas Texas CRD 70 48070 Sterling 48431 Southern-plains

Texas Texas CRD 22 48022 Stonewall 48433 Southern-plains

Texas Texas CRD 70 48070 Sutton 48435 Southern-plains

Texas Texas CRD 11 48011 Swisher 48437 Southern-plains

Texas Texas CRD 40 48040 Tarrant 48439 Southern-plains

Texas Texas CRD 22 48022 Taylor 48441 Southern-plains

Texas Texas CRD 60 48060 Terrell 48443 Southern-plains

Texas Texas CRD 12 48012 Terry 48445 Southern-plains

Texas Texas CRD 30 48030 Throckmorton 48447 Southern-plains

Texas Texas CRD 51 48051 Titus 48449 Southern-plains

Texas Texas CRD 70 48070 Tom Green 48451 Southern-plains

Texas Texas CRD 81 48081 Travis 48453 Southern-plains

Texas Texas CRD 52 48052 Trinity 48455 Southern-plains

Texas Texas CRD 52 48052 Tyler 48457 Southern-plains

Texas Texas CRD 51 48051 Upshur 48459 Southern-plains

Texas Texas CRD 70 48070 Upton 48461 Southern-plains

Texas Texas CRD 70 48070 Uvalde 48463 Southern-plains

Texas Texas CRD 70 48070 Val Verde 48465 Southern-plains

Texas Texas CRD 51 48051 Van Zandt 48467 Southern-plains

Texas Texas CRD 90 48090 Victoria 48469 Southern-plains

Texas Texas CRD 52 48052 Walker 48471 Southern-plains

Texas Texas CRD 52 48052 Waller 48473 Southern-plains

Texas Texas CRD 60 48060 Ward 48475 Southern-plains

Texas Texas CRD 81 48081 Washington 48477 Southern-plains

Texas Texas CRD 96 48096 Webb 48479 Southern-plains

Texas Texas CRD 90 48090 Wharton 48481 Southern-plains

Texas Texas CRD 21 48021 Wheeler 48483 Southern-plains
Tables﻿ ﻿ 95

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Texas Texas CRD 21 48021 Wichita 48485 Southern-plains

Texas Texas CRD 21 48021 Wilbarger 48487 Southern-plains

Texas Texas CRD 97 48097 Willacy 48489 Southern-plains

Texas Texas CRD 40 48040 Williamson 48491 Southern-plains

Texas Texas CRD 81 48081 Wilson 48493 Southern-plains

Texas Texas CRD 60 48060 Winkler 48495 Southern-plains

Texas Texas CRD 30 48030 Wise 48497 Southern-plains

Texas Texas CRD 51 48051 Wood 48499 Southern-plains

Texas Texas CRD 12 48012 Yoakum 48501 Southern-plains

Texas Texas CRD 30 48030 Young 48503 Southern-plains

Texas Texas CRD 96 48096 Zapata 48505 Southern-plains

Texas Texas CRD 96 48096 Zavala 48507 Southern-plains

Utah Utah CRD 70 49070 Beaver 49001 Mountain

Utah Utah CRD 10 49010 Box Elder 49003 Mountain

Utah Utah CRD 10 49010 Cache 49005 Mountain

Utah Utah CRD 60 49060 Carbon 49007 Mountain

Utah Utah CRD 60 49060 Daggett 49009 Mountain

Utah Utah CRD 10 49010 Davis 49011 Mountain

Utah Utah CRD 60 49060 Duchesne 49013 Mountain

Utah Utah CRD 60 49060 Emery 49015 Mountain

Utah Utah CRD 70 49070 Garfield 49017 Mountain

Utah Utah CRD 60 49060 Grand 49019 Mountain

Utah Utah CRD 70 49070 Iron 49021 Mountain

Utah Utah CRD 50 49050 Juab 49023 Mountain

Utah Utah CRD 70 49070 Kane 49025 Mountain

Utah Utah CRD 50 49050 Millard 49027 Mountain

Utah Utah CRD 10 49010 Morgan 49029 Mountain

Utah Utah CRD 70 49070 Piute 49031 Mountain

Utah Utah CRD 10 49010 Rich 49033 Mountain

Utah Utah CRD 10 49010 Salt Lake 49035 Mountain

Utah Utah CRD 60 49060 San Juan 49037 Mountain

Utah Utah CRD 50 49050 Sanpete 49039 Mountain

Utah Utah CRD 50 49050 Sevier 49041 Mountain

Utah Utah CRD 60 49060 Summit 49043 Mountain

Utah Utah CRD 10 49010 Tooele 49045 Mountain

Utah Utah CRD 60 49060 Uintah 49047 Mountain

Utah Utah CRD 50 49050 Utah 49049 Mountain

Utah Utah CRD 60 49060 Wasatch 49051 Mountain

Utah Utah CRD 70 49070 Washington 49053 Mountain

Utah Utah CRD 70 49070 Wayne 49055 Mountain

Utah Utah CRD 10 49010 Weber 49057 Mountain

Vermont Vermont CRD 10 50010 Addison 50001 Northeast
96﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Vermont Vermont CRD 10 50010 Bennington 50003 Northeast

Vermont Vermont CRD 10 50010 Caledonia 50005 Northeast

Vermont Vermont CRD 10 50010 Chittenden 50007 Northeast

Vermont Vermont CRD 10 50010 Essex 50009 Northeast

Vermont Vermont CRD 10 50010 Franklin 50011 Northeast

Vermont Vermont CRD 10 50010 Grand Isle 50013 Northeast

Vermont Vermont CRD 10 50010 Lamoille 50015 Northeast

Vermont Vermont CRD 10 50010 Orange 50017 Northeast

Vermont Vermont CRD 10 50010 Orleans 50019 Northeast

Vermont Vermont CRD 10 50010 Rutland 50021 Northeast

Vermont Vermont CRD 10 50010 Washington 50023 Northeast

Vermont Vermont CRD 10 50010 Windham 50025 Northeast

Vermont Vermont CRD 10 50010 Windsor 50027 Northeast

Virginia Virginia CRD 60 51060 Accomack 51001 Appalachian

Virginia Virginia CRD 50 51050 Albemarle 51003 Appalachian

Virginia Virginia CRD 40 51040 Alleghany 51005 Appalachian

Virginia Virginia CRD 50 51050 Amelia 51007 Appalachian

Virginia Virginia CRD 50 51050 Amherst 51009 Appalachian

Virginia Virginia CRD 50 51050 Appomattox 51011 Appalachian

Virginia Virginia CRD 20 51020 Arlington 51013 Appalachian

Virginia Virginia CRD 40 51040 Augusta 51015 Appalachian

Virginia Virginia CRD 40 51040 Bath 51017 Appalachian

Virginia Virginia CRD 50 51050 Bedford 51019 Appalachian

Virginia Virginia CRD 70 51070 Bland 51021 Appalachian

Virginia Virginia CRD 40 51040 Botetourt 51023 Appalachian

Virginia Virginia CRD 90 51090 Brunswick 51025 Appalachian

Virginia Virginia CRD 70 51070 Buchanan 51027 Appalachian

Virginia Virginia CRD 50 51050 Buckingham 51029 Appalachian

Virginia Virginia CRD 50 51050 Campbell 51031 Appalachian

Virginia Virginia CRD 50 51050 Caroline 51033 Appalachian

Virginia Virginia CRD 70 51070 Carroll 51035 Appalachian

Virginia Virginia CRD 60 51060 Charles City 51036 Appalachian

Virginia Virginia CRD 80 51080 Charlotte 51037 Appalachian

Virginia Virginia CRD 50 51050 Chesterfield 51041 Appalachian

Virginia Virginia CRD 20 51020 Clarke 51043 Appalachian

Virginia Virginia CRD 40 51040 Craig 51045 Appalachian

Virginia Virginia CRD 20 51020 Culpeper 51047 Appalachian

Virginia Virginia CRD 50 51050 Cumberland 51049 Appalachian

Virginia Virginia CRD 70 51070 Dickenson 51051 Appalachian

Virginia Virginia CRD 90 51090 Dinwiddie 51053 Appalachian

Virginia Virginia CRD 60 51060 Essex 51057 Appalachian

Virginia Virginia CRD 20 51020 Fairfax 51059 Appalachian
Tables﻿ ﻿ 97

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Virginia Virginia CRD 20 51020 Fauquier 51061 Appalachian

Virginia Virginia CRD 70 51070 Floyd 51063 Appalachian

Virginia Virginia CRD 50 51050 Fluvanna 51065 Appalachian

Virginia Virginia CRD 80 51080 Franklin 51067 Appalachian

Virginia Virginia CRD 20 51020 Frederick 51069 Appalachian

Virginia Virginia CRD 70 51070 Giles 51071 Appalachian

Virginia Virginia CRD 60 51060 Gloucester 51073 Appalachian

Virginia Virginia CRD 50 51050 Goochland 51075 Appalachian

Virginia Virginia CRD 70 51070 Grayson 51077 Appalachian

Virginia Virginia CRD 50 51050 Greene 51079 Appalachian

Virginia Virginia CRD 90 51090 Greensville 51081 Appalachian

Virginia Virginia CRD 80 51080 Halifax 51083 Appalachian

Virginia Virginia CRD 50 51050 Hanover 51085 Appalachian

Virginia Virginia CRD 50 51050 Henrico 51087 Appalachian

Virginia Virginia CRD 80 51080 Henry 51089 Appalachian

Virginia Virginia CRD 40 51040 Highland 51091 Appalachian

Virginia Virginia CRD 90 51090 Isle of Wight 51093 Appalachian

Virginia Virginia CRD 60 51060 James City 51095 Appalachian

Virginia Virginia CRD 60 51060 King and Queen 51097 Appalachian

Virginia Virginia CRD 60 51060 King George 51099 Appalachian

Virginia Virginia CRD 60 51060 King Eilliam 51101 Appalachian

Virginia Virginia CRD 60 51060 Lancaster 51103 Appalachian

Virginia Virginia CRD 70 51070 Lee 51105 Appalachian

Virginia Virginia CRD 20 51020 Loudoun 51107 Appalachian

Virginia Virginia CRD 50 51050 Louisa 51109 Appalachian

Virginia Virginia CRD 80 51080 Lunenburg 51111 Appalachian

Virginia Virginia CRD 20 51020 Madison 51113 Appalachian

Virginia Virginia CRD 60 51060 Mathews 51115 Appalachian

Virginia Virginia CRD 90 51090 Mecklenburg 51117 Appalachian

Virginia Virginia CRD 60 51060 Middlesex 51119 Appalachian

Virginia Virginia CRD 70 51070 Montgomery 51121 Appalachian

Virginia Virginia CRD 50 51050 Nelson 51125 Appalachian

Virginia Virginia CRD 60 51060 New Kent 51127 Appalachian

Virginia Virginia CRD 60 51060 Northampton 51131 Appalachian

Virginia Virginia CRD 60 51060 Northumberland 51133 Appalachian

Virginia Virginia CRD 80 51080 Nottoway 51135 Appalachian

Virginia Virginia CRD 50 51050 Orange 51137 Appalachian

Virginia Virginia CRD 20 51020 Page 51139 Appalachian

Virginia Virginia CRD 80 51080 Patrick 51141 Appalachian

Virginia Virginia CRD 80 51080 Pittsylvania 51143 Appalachian

Virginia Virginia CRD 50 51050 Powhatan 51145 Appalachian

Virginia Virginia CRD 50 51050 Prince Edward 51147 Appalachian
98﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Virginia Virginia CRD 90 51090 Prince George 51149 Appalachian

Virginia Virginia CRD 20 51020 Prince William 51153 Appalachian

Virginia Virginia CRD 70 51070 Pulaski 51155 Appalachian

Virginia Virginia CRD 20 51020 Rappahannock 51157 Appalachian

Virginia Virginia CRD 60 51060 Richmond 51159 Appalachian

Virginia Virginia CRD 40 51040 Roanoke 51161 Appalachian

Virginia Virginia CRD 40 51040 Rockbridge 51163 Appalachian

Virginia Virginia CRD 20 51020 Rockingham 51165 Appalachian

Virginia Virginia CRD 70 51070 Russell 51167 Appalachian

Virginia Virginia CRD 70 51070 Scott 51169 Appalachian

Virginia Virginia CRD 20 51020 Shenandoah 51171 Appalachian

Virginia Virginia CRD 70 51070 Smyth 51173 Appalachian

Virginia Virginia CRD 90 51090 Southampton 51175 Appalachian

Virginia Virginia CRD 50 51050 Spotsylvania 51177 Appalachian

Virginia Virginia CRD 20 51020 Stafford 51179 Appalachian

Virginia Virginia CRD 90 51090 Surry 51181 Appalachian

Virginia Virginia CRD 90 51090 Sussex 51183 Appalachian

Virginia Virginia CRD 70 51070 Tazewell 51185 Appalachian

Virginia Virginia CRD 20 51020 Warren 51187 Appalachian

Virginia Virginia CRD 70 51070 Washington 51191 Appalachian

Virginia Virginia CRD 60 51060 Westmoreland 51193 Appalachian

Virginia Virginia CRD 70 51070 Wise 51195 Appalachian

Virginia Virginia CRD 70 51070 Wythe 51197 Appalachian

Virginia Virginia CRD 60 51060 York 51199 Appalachian

Virginia Virginia CRD 20 51020 Alexandria 51510 Appalachian

Virginia Virginia CRD 50 51050 Bedford 51515 Appalachian

Virginia Virginia CRD 70 51070 Bristol 51520 Appalachian

Virginia Virginia CRD 40 51040 Buena Vista 51530 Appalachian

Virginia Virginia CRD 50 51050 Charlottesville 51540 Appalachian

Virginia Virginia CRD 90 51090 Chesapeake 51550 Appalachian

Virginia Virginia CRD 40 51040 Clifton Forge 51560 Appalachian

Virginia Virginia CRD 50 51050 Colonial Heights 51570 Appalachian

Virginia Virginia CRD 40 51040 Covington 51580 Appalachian

Virginia Virginia CRD 80 51080 Danville 51590 Appalachian

Virginia Virginia CRD 90 51090 Emporia 51595 Appalachian

Virginia Virginia CRD 20 51020 Fairfax City 51600 Appalachian

Virginia Virginia CRD 20 51020 Falls Church 51610 Appalachian

Virginia Virginia CRD 90 51090 Franklin 51620 Appalachian

Virginia Virginia CRD 50 51050 Fredericksburg 51630 Appalachian

Virginia Virginia CRD 70 51070 Galax 51640 Appalachian

Virginia Virginia CRD 60 51060 Hampton 51650 Appalachian

Virginia Virginia CRD 20 51020 Harrisonburg 51660 Appalachian
Tables﻿ ﻿ 99

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Virginia Virginia CRD 90 51090 Hopewell 51670 Appalachian

Virginia Virginia CRD 40 51040 Lexington 51678 Appalachian

Virginia Virginia CRD 50 51050 Lynchburg 51680 Appalachian

Virginia Virginia CRD 20 51020 Manassas 51683 Appalachian

Virginia Virginia CRD 20 51020 Manassas Park 51685 Appalachian

Virginia Virginia CRD 80 51080 Martinsville 51690 Appalachian

Virginia Virginia CRD 60 51060 Newport News 51700 Appalachian

Virginia Virginia CRD 90 51090 Norfolk 51710 Appalachian

Virginia Virginia CRD 70 51070 Norton 51720 Appalachian

Virginia Virginia CRD 90 51090 Petersburg 51730 Appalachian

Virginia Virginia CRD 60 51060 Poquoson 51735 Appalachian

Virginia Virginia CRD 90 51090 Portsmouth 51740 Appalachian

Virginia Virginia CRD 70 51070 Radford 51750 Appalachian

Virginia Virginia CRD 50 51050 Richmond 51760 Appalachian

Virginia Virginia CRD 40 51040 Roanoke 51770 Appalachian

Virginia Virginia CRD 40 51040 Salem 51775 Appalachian

Virginia Virginia CRD 40 51040 Staunton 51790 Appalachian

Virginia Virginia CRD 90 51090 Suffolk 51800 Appalachian

Virginia Virginia CRD 90 51090 Virginia Beach 51810 Appalachian

Virginia Virginia CRD 40 51040 Waynesboro 51820 Appalachian

Virginia Virginia CRD 60 51060 Williamsburg 51830 Appalachian

Virginia Virginia CRD 20 51020 Winchester 51840 Appalachian

Washington Washington CRD 50 53050 Adams 53001 Pacific

Washington Washington CRD 90 53090 Asotin 53003 Pacific

Washington Washington CRD 20 53020 Benton 53005 Pacific

Washington Washington CRD 20 53020 Chelan 53007 Pacific

Washington Washington CRD 10 53010 Clallam 53009 Pacific

Washington Washington CRD 10 53010 Clark 53011 Pacific

Washington Washington CRD 90 53090 Columbia 53013 Pacific

Washington Washington CRD 10 53010 Cowlitz 53015 Pacific

Washington Washington CRD 50 53050 Douglas 53017 Pacific

Washington Washington CRD 30 53030 Ferry 53019 Pacific

Washington Washington CRD 50 53050 Franklin 53021 Pacific

Washington Washington CRD 90 53090 Garfield 53023 Pacific

Washington Washington CRD 50 53050 Grant 53025 Pacific

Washington Washington CRD 10 53010 Grays Harbor 53027 Pacific

Washington Washington CRD 10 53010 Island 53029 Pacific

Washington Washington CRD 10 53010 Jefferson 53031 Pacific

Washington Washington CRD 10 53010 King 53033 Pacific

Washington Washington CRD 10 53010 Kitsap 53035 Pacific

Washington Washington CRD 20 53020 Kittitas 53037 Pacific

Washington Washington CRD 20 53020 Klickitat 53039 Pacific
100﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Washington Washington CRD 10 53010 Lewis 53041 Pacific

Washington Washington CRD 50 53050 Lincoln 53043 Pacific

Washington Washington CRD 10 53010 Mason 53045 Pacific

Washington Washington CRD 20 53020 Okanogan 53047 Pacific

Washington Washington CRD 10 53010 Pacific 53049 Pacific

Washington Washington CRD 30 53030 Pend Oreille 53051 Pacific

Washington Washington CRD 10 53010 Pierce 53053 Pacific

Washington Washington CRD 10 53010 San juan 53055 Pacific

Washington Washington CRD 10 53010 Skagit 53057 Pacific

Washington Washington CRD 10 53010 Skamania 53059 Pacific

Washington Washington CRD 10 53010 Snohomish 53061 Pacific

Washington Washington CRD 30 53030 Spokane 53063 Pacific

Washington Washington CRD 30 53030 Stevens 53065 Pacific

Washington Washington CRD 10 53010 Thurston 53067 Pacific

Washington Washington CRD 10 53010 Wahkiakum 53069 Pacific

Washington Washington CRD 90 53090 Walla Walla 53071 Pacific

Washington Washington CRD 10 53010 Whatcom 53073 Pacific

Washington Washington CRD 90 53090 Whitman 53075 Pacific

Washington Washington CRD 20 53020 Yakima 53077 Pacific

West Virginia West Virginia CRD 20 54020 Barbour 54001 Appalachian

West Virginia West Virginia CRD 60 54060 Berkeley 54003 Appalachian

West Virginia West Virginia CRD 40 54040 Boone 54005 Appalachian

West Virginia West Virginia CRD 40 54040 Braxton 54007 Appalachian

West Virginia West Virginia CRD 20 54020 Brooke 54009 Appalachian

West Virginia West Virginia CRD 40 54040 Cabell 54011 Appalachian

West Virginia West Virginia CRD 40 54040 Calhoun 54013 Appalachian

West Virginia West Virginia CRD 40 54040 Clay 54015 Appalachian

West Virginia West Virginia CRD 20 54020 Doddridge 54017 Appalachian

West Virginia West Virginia CRD 40 54040 Fayette 54019 Appalachian

West Virginia West Virginia CRD 40 54040 Gilmer 54021 Appalachian

West Virginia West Virginia CRD 60 54060 Grant 54023 Appalachian

West Virginia West Virginia CRD 60 54060 Greenbrier 54025 Appalachian

West Virginia West Virginia CRD 60 54060 Hampshire 54027 Appalachian

West Virginia West Virginia CRD 20 54020 Hancock 54029 Appalachian

West Virginia West Virginia CRD 60 54060 Hardy 54031 Appalachian

West Virginia West Virginia CRD 20 54020 Harrison 54033 Appalachian

West Virginia West Virginia CRD 40 54040 Jackson 54035 Appalachian

West Virginia West Virginia CRD 60 54060 Jefferson 54037 Appalachian

West Virginia West Virginia CRD 40 54040 Kanawha 54039 Appalachian

West Virginia West Virginia CRD 20 54020 Lewis 54041 Appalachian

West Virginia West Virginia CRD 40 54040 Lincoln 54043 Appalachian

West Virginia West Virginia CRD 40 54040 Logan 54045 Appalachian
Tables﻿ ﻿ 101

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

West Virginia West Virginia CRD 40 54040 McDowell 54047 Appalachian

West Virginia West Virginia CRD 20 54020 Marion 54049 Appalachian

West Virginia West Virginia CRD 20 54020 Marshall 54051 Appalachian

West Virginia West Virginia CRD 40 54040 Mason 54053 Appalachian

West Virginia West Virginia CRD 40 54040 Mercer 54055 Appalachian

West Virginia West Virginia CRD 60 54060 Mineral 54057 Appalachian

West Virginia West Virginia CRD 40 54040 Mingo 54059 Appalachian

West Virginia West Virginia CRD 20 54020 Monongalia 54061 Appalachian

West Virginia West Virginia CRD 60 54060 Monroe 54063 Appalachian

West Virginia West Virginia CRD 60 54060 Morgan 54065 Appalachian

West Virginia West Virginia CRD 40 54040 Nicholas 54067 Appalachian

West Virginia West Virginia CRD 20 54020 Ohio 54069 Appalachian

West Virginia West Virginia CRD 60 54060 Pendleton 54071 Appalachian

West Virginia West Virginia CRD 20 54020 Pleasants 54073 Appalachian

West Virginia West Virginia CRD 60 54060 Pocahontas 54075 Appalachian

West Virginia West Virginia CRD 20 54020 Preston 54077 Appalachian

West Virginia West Virginia CRD 40 54040 Putnam 54079 Appalachian

West Virginia West Virginia CRD 40 54040 Raleigh 54081 Appalachian

West Virginia West Virginia CRD 60 54060 Randolph 54083 Appalachian

West Virginia West Virginia CRD 20 54020 Ritchie 54085 Appalachian

West Virginia West Virginia CRD 40 54040 Roane 54087 Appalachian

West Virginia West Virginia CRD 60 54060 Summers 54089 Appalachian

West Virginia West Virginia CRD 20 54020 Taylor 54091 Appalachian

West Virginia West Virginia CRD 60 54060 Tucker 54093 Appalachian

West Virginia West Virginia CRD 20 54020 Tyler 54095 Appalachian

West Virginia West Virginia CRD 20 54020 Upshur 54097 Appalachian

West Virginia West Virginia CRD 40 54040 Wayne 54099 Appalachian

West Virginia West Virginia CRD 40 54040 Webster 54101 Appalachian

West Virginia West Virginia CRD 20 54020 Wetzel 54103 Appalachian

West Virginia West Virginia CRD 40 54040 Wirt 54105 Appalachian

West Virginia West Virginia CRD 20 54020 Wood 54107 Appalachian

West Virginia West Virginia CRD 40 54040 Wyoming 54109 Appalachian

Wisconsin Wisconsin CRD 50 55050 Adams 55001 Lake-states

Wisconsin Wisconsin CRD 20 55020 Ashland 55003 Lake-states

Wisconsin Wisconsin CRD 10 55010 Barron 55005 Lake-states

Wisconsin Wisconsin CRD 10 55010 Bayfield 55007 Lake-states

Wisconsin Wisconsin CRD 60 55060 Brown 55009 Lake-states

Wisconsin Wisconsin CRD 40 55040 Buffalo 55011 Lake-states

Wisconsin Wisconsin CRD 10 55010 Burnett 55013 Lake-states

Wisconsin Wisconsin CRD 60 55060 Calumet 55015 Lake-states

Wisconsin Wisconsin CRD 10 55010 Chippewa 55017 Lake-states

Wisconsin Wisconsin CRD 20 55020 Clark 55019 Lake-states
102﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Wisconsin Wisconsin CRD 80 55080 Columbia 55021 Lake-states

Wisconsin Wisconsin CRD 70 55070 Crawford 55023 Lake-states

Wisconsin Wisconsin CRD 80 55080 Dane 55025 Lake-states

Wisconsin Wisconsin CRD 80 55080 Dodge 55027 Lake-states

Wisconsin Wisconsin CRD 60 55060 Door 55029 Lake-states

Wisconsin Wisconsin CRD 10 55010 Douglas 55031 Lake-states

Wisconsin Wisconsin CRD 40 55040 Dunn 55033 Lake-states

Wisconsin Wisconsin CRD 40 55040 Eau Claire 55035 Lake-states

Wisconsin Wisconsin CRD 30 55030 Florence 55037 Lake-states

Wisconsin Wisconsin CRD 60 55060 Fond du Lac 55039 Lake-states

Wisconsin Wisconsin CRD 30 55030 Forest 55041 Lake-states

Wisconsin Wisconsin CRD 70 55070 Grant 55043 Lake-states

Wisconsin Wisconsin CRD 80 55080 Green 55045 Lake-states

Wisconsin Wisconsin CRD 50 55050 Green Lake 55047 Lake-states

Wisconsin Wisconsin CRD 70 55070 Iowa 55049 Lake-states

Wisconsin Wisconsin CRD 20 55020 Iron 55051 Lake-states

Wisconsin Wisconsin CRD 40 55040 Jackson 55053 Lake-states

Wisconsin Wisconsin CRD 80 55080 Jefferson 55055 Lake-states

Wisconsin Wisconsin CRD 50 55050 Juneau 55057 Lake-states

Wisconsin Wisconsin CRD 90 55090 Kenosha 55059 Lake-states

Wisconsin Wisconsin CRD 60 55060 Kewaunee 55061 Lake-states

Wisconsin Wisconsin CRD 40 55040 La Crosse 55063 Lake-states

Wisconsin Wisconsin CRD 70 55070 Lafayette 55065 Lake-states

Wisconsin Wisconsin CRD 30 55030 Langlade 55067 Lake-states

Wisconsin Wisconsin CRD 20 55020 Lincoln 55069 Lake-states

Wisconsin Wisconsin CRD 60 55060 Manitowoc 55071 Lake-states

Wisconsin Wisconsin CRD 20 55020 Marathon 55073 Lake-states

Wisconsin Wisconsin CRD 30 55030 Marinette 55075 Lake-states

Wisconsin Wisconsin CRD 50 55050 Marquette 55077 Lake-states

Wisconsin Wisconsin CRD 30 55030 Menominee 55078 Lake-states

Wisconsin Wisconsin CRD 90 55090 Milwaukee 55079 Lake-states

Wisconsin Wisconsin CRD 40 55040 Monroe 55081 Lake-states

Wisconsin Wisconsin CRD 30 55030 Oconto 55083 Lake-states

Wisconsin Wisconsin CRD 20 55020 Oneida 55085 Lake-states

Wisconsin Wisconsin CRD 60 55060 Outagamie 55087 Lake-states

Wisconsin Wisconsin CRD 90 55090 Ozaukee 55089 Lake-states

Wisconsin Wisconsin CRD 40 55040 Pepin 55091 Lake-states

Wisconsin Wisconsin CRD 40 55040 Pierce 55093 Lake-states

Wisconsin Wisconsin CRD 10 55010 Polk 55095 Lake-states

Wisconsin Wisconsin CRD 50 55050 Portage 55097 Lake-states

Wisconsin Wisconsin CRD 20 55020 Price 55099 Lake-states

Wisconsin Wisconsin CRD 90 55090 Racine 55101 Lake-states
Tables﻿ ﻿ 103

Table 1. Crop Reporting Districts (CRD) of the conterminous United States and associated counties.—Continued

[FIPS, Federal Information Processing Standard; USDA, U.S. Department of Agriculture]

State Crop Reporting District

(CRD) CRD Identifier County Name County FIPS USDA Farm ProductionRegion

Wisconsin Wisconsin CRD 70 55070 Richland 55103 Lake-states

Wisconsin Wisconsin CRD 80 55080 Rock 55105 Lake-states

Wisconsin Wisconsin CRD 10 55010 Rusk 55107 Lake-states

Wisconsin Wisconsin CRD 40 55040 St. Croix 55109 Lake-states

Wisconsin Wisconsin CRD 70 55070 Sauk 55111 Lake-states

Wisconsin Wisconsin CRD 10 55010 Sawyer 55113 Lake-states

Wisconsin Wisconsin CRD 30 55030 Shawano 55115 Lake-states

Wisconsin Wisconsin CRD 60 55060 Sheboygan 55117 Lake-states

Wisconsin Wisconsin CRD 20 55020 Taylor 55119 Lake-states

Wisconsin Wisconsin CRD 40 55040 Trempealeau 55121 Lake-states

Wisconsin Wisconsin CRD 70 55070 Vernon 55123 Lake-states

Wisconsin Wisconsin CRD 20 55020 Vilas 55125 Lake-states

Wisconsin Wisconsin CRD 90 55090 Walworth 55127 Lake-states

Wisconsin Wisconsin CRD 10 55010 Washburn 55129 Lake-states

Wisconsin Wisconsin CRD 90 55090 Washington 55131 Lake-states

Wisconsin Wisconsin CRD 90 55090 Waukesha 55133 Lake-states

Wisconsin Wisconsin CRD 50 55050 Waupaca 55135 Lake-states

Wisconsin Wisconsin CRD 50 55050 Waushara 55137 Lake-states

Wisconsin Wisconsin CRD 60 55060 Winnebago 55139 Lake-states

Wisconsin Wisconsin CRD 50 55050 Wood 55141 Lake-states

Wyoming Wyoming CRD 40 56040 Albany 56001 Mountain

Wyoming Wyoming CRD 10 56010 Big Horn 56003 Mountain

Wyoming Wyoming CRD 20 56020 Campbell 56005 Mountain

Wyoming Wyoming CRD 40 56040 Carbon 56007 Mountain

Wyoming Wyoming CRD 50 56050 Converse 56009 Mountain

Wyoming Wyoming CRD 20 56020 Crook 56011 Mountain

Wyoming Wyoming CRD 10 56010 Fremont 56013 Mountain

Wyoming Wyoming CRD 50 56050 Goshen 56015 Mountain

Wyoming Wyoming CRD 10 56010 Hot Springs 56017 Mountain

Wyoming Wyoming CRD 20 56020 Johnson 56019 Mountain

Wyoming Wyoming CRD 50 56050 Laramie 56021 Mountain

Wyoming Wyoming CRD 30 56030 Lincoln 56023 Mountain

Wyoming Wyoming CRD 40 56040 Natrona 56025 Mountain

Wyoming Wyoming CRD 50 56050 Niobrara 56027 Mountain

Wyoming Wyoming CRD 10 56010 Park 56029 Mountain

Wyoming Wyoming CRD 50 56050 Platte 56031 Mountain

Wyoming Wyoming CRD 20 56020 Sheridan 56033 Mountain

Wyoming Wyoming CRD 30 56030 Sublette 56035 Mountain

Wyoming Wyoming CRD 40 56040 Sweetwater 56037 Mountain

Wyoming Wyoming CRD 30 56030 Teton 56039 Mountain

Wyoming Wyoming CRD 30 56030 Uinta 56041 Mountain

Wyoming Wyoming CRD 10 56010 Washakie 56043 Mountain

Wyoming Wyoming CRD 20 56020 Weston 56045 Mountain
104﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 2. Relation of Doane Marketing Research-Kynetec (DMRK) crop categories (not including California) to Census of Agriculture 

and National Agriculture Statistics Service crop categories used in the atrazine-use estimation process.

[USDA, U.S. Department of Agriculture]

Crop atrazine estimates reported in

DMRK-AgroTrak database

Census of Agriculture

crop categories

USDA National Agriculture Statistics

Service crop categories

Alfalfa Alfalfa seed, alfalfa hay Alfalfa hay

Apples Apples, total Apples

Barley Barley for grain Barley, all

Beans/peas, vegetables Snap beans, green peas (excluding southern) Snap beans for processing

CRP long term acres Land enrolled in conservation reserve or wetlands 

reserve programs

Corn Corn for silage or greenchop, corn for grain or seed, 

corn cut for dry fodder, hogged or grazed

Corn for grain, corn for silage, corn for 

forage

Cotton Cotton, all Cotton, American, pima, cotton upland

Cropland for pasture Cropland used only for pasture or grazing

Fallow, summer Other cropland, cropland in cultivated summer fallow 

Grapefruit Grapefruit, total 

Hay, other Other haylage, grass silage, and greenchop Hay, other

Lots/farmstead, other Land in farmsteads, buildings, livestock facilities, 

ponds, roads, wasteland, etc.

Oats/rye Oats for grain, rye for grain Oats

Oranges Oranges

Pasture/rangeland, or pasture/

rangeland, other

Pasture land and rangeland, other than cropland and 

woodland pastured

Pasture land Pasture land, all types

Sorghum Sorghum- including grain, syrup, silage, and hogged Sorghum for grain and sorghum for silage 

Soybeans Soybeans for beans Soybeans

Sugarcane Sugarcane for sugar, sugarcane for seed Sugarcane for sugar

Sweet corn Sweet corn, sweet corn for seed Sweet corn for processing

Wheat, spring Spring wheat for grain, other spring wheat for grain, 

durum wheat for grain

Wheat, durum, other spring wheat

Wheat, winter Winter wheat for grain Wheat, winter, all
Tables﻿ ﻿ 105

Table 3. Mapping of California Department of Pesticide Regulation (DPR) crops to EPest crops and associated 1992 and 2001 

National Land Cover Dataset (NLCD) crop categories reported in the county atrazine-use database.—Continued

[—, not reported]

California Department

of DPR Crop EPest Crop

1992 land-cover category

from an enhanced version

of the NLCD

2001 NLCD land-cover

category

— Alfalfa Pasture/hay Pasture/hay

Almonds — Orchards/vineyards Cultivated crops

Apples Apples Orchards/vineyards Cultivated crops

Avocados — Orchards/vineyards Cultivated crops

— Barley Row crops/small grains/fallow Cultivated crops

— Beans, peas, vegetable Row crops/small grains/fallow Cultivated crops

— CRP long-term acres Pasture/hay Pasture/hay

Celery — Row crops/small grains/fallow Cultivated crops

— Citrus, other Orchards/vineyards Cultivated crops

— Corn Row crops/small grains/fallow Cultivated crops

Corn for human consumption — Row crops/small grains/fallow Cultivated crops

Corn for fodder — Row crops/small grains/fallow Cultivated crops

Cotton Cotton Row crops/small grains/fallow Cultivated crops

— Cropland for pasture Pasture/hay Pasture/hay

— Summer fallow Row crops/small grains/fallow Cultivated crops

— Grapefruit Orchards/vineyards Cultivated crops

Grapes — Orchards/vineyards Cultivated crops

Grapes, wine — Orchards/vineyards Cultivated crops

— Other hay Pasture/hay Pasture/hay

Sudan grass — Pasture/hay Pasture/hay

Bermuda grass — Pasture/hay Pasture/hay

Turf sod — Pasture/hay Pasture/hay

Clover — Pasture/hay Pasture/hay

— Lemons Orchards/vineyards Cultivated crops

Lettuce — Row crops/small grains/fallow Cultivated crops

— Lots, farmsteads, other Pasture/hay Pasture/hay

Nurseries, outdoor, transplants — Orchards/vineyards Cultivated crops

Nurseries, outdoor plants in 

containers

— Orchards/vineyards Cultivated crops

Nurseries, outdoor flowers — Orchards/vineyards Cultivated crops

Dates — Orchards/vineyards Cultivated crops

— Oats, rye Row crops/small grains/fallow Cultivated crops

Oranges Oranges Orchards/vineyards Cultivated crops

— Pasture, range Pasture/hay Pasture/hay

— Pasture, rangeland, other Pasture/hay Pasture/hay

Uncultivated agriculture — Pasture/hay Pasture/hay

Rangeland — Pasture/hay Pasture/hay

Pastureland Pastureland Pasture/hay Pasture/hay

— Sorghum Row crops/small grains/fallow Cultivated crops

Sorghum, milo — Row crops/small grains/fallow Cultivated crops

Sorghum, forage, fodder — Row crops/small grains/fallow Cultivated crops

Table 3. Mapping of California Department of Pesticide Regulation (DPR) crops to EPest crops and associated 1992 and 2001 National 

Land Cover Dataset (NLCD) crop categories reported in the county atrazine-use database.

[—, not reported]
106﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Table 3. Mapping of California Department of Pesticide Regulation (DPR) crops to EPest crops and associated 1992 and 2001 

National Land Cover Dataset (NLCD) crop categories reported in the county atrazine-use database.—Continued

[—, not reported]

California Department

of DPR Crop EPest Crop

1992 land-cover category

from an enhanced version

of the NLCD

2001 NLCD land-cover

category

— Soybeans Row crops/small grains/fallow Cultivated crops

Olive — Orchards/vineyards Cultivated crops

Strawberries — Orchards/vineyards Cultivated crops

Sugarcane Sugarcane Row crops/small grains/fallow Cultivated crops

— Sweet corn Row crops/small grains/fallow Cultivated crops

Tomato — Row crops/small grains/fallow Cultivated crops

Walnut — Orchards/vineyards Cultivated crops

— Wheat, spring Row crops/small grains/fallow Cultivated crops

— Wheat, winter Row crops/small grains/fallow Cultivated crops

Wheat — Row crops/small grains/fallow Cultivated crops
Tables﻿ ﻿ 107

Appendix: Table A1. Annual atrazine-use intensity estimates for watersheds used to develop the Watershed Regressions for 

Pesticides model, 1992 through 1999.—Continued

[kg/km2, kilogram per square kilometer; —, no estimate]

Station ID Station name Year

Watershed

atrazine-use

intensity

(kg/km2

)

01102500 Aberjona River at Winchester, Massachusetts 1992 — 

01102500 Aberjona River at Winchester, Massachusetts 1993 —

01102500 Aberjona River at Winchester, Massachusetts 1994 —

01102500 Aberjona River at Winchester, Massachusetts 1995 0.000 

01102500 Aberjona River at Winchester, Massachusetts 1996 0.000 

01102500 Aberjona River at Winchester, Massachusetts 1997 — 

01102500 Aberjona River at Winchester, Massachusetts 1998 —

01102500 Aberjona River at Winchester, Massachusetts 1999 —

01104615 Charles River above Watertown Dam at Watertown, Massachusetts 1992 0.636 

01104615 Charles River above Watertown Dam at Watertown, Massachusetts 1993 0.939 

01104615 Charles River above Watertown Dam at Watertown, Massachusetts 1994 0.447 

01104615 Charles River above Watertown Dam at Watertown, Massachusetts 1995 0.418 

01104615 Charles River above Watertown Dam at Watertown, Massachusetts 1996 0.222 

01104615 Charles River above Watertown Dam at Watertown, Massachusetts 1997 0.194 

01104615 Charles River above Watertown Dam at Watertown, Massachusetts 1998 0.313 

01104615 Charles River above Watertown Dam at Watertown, Massachusetts 1999 0.238 

01209710 Norwalk River at Winnipauk, Connecticut 1992 0.096 

01209710 Norwalk River at Winnipauk, Connecticut 1993 0.094 

01209710 Norwalk River at Winnipauk, Connecticut 1994 0.076 

01209710 Norwalk River at Winnipauk, Connecticut 1995 0.127 

01209710 Norwalk River at Winnipauk, Connecticut 1996 0.063 

01209710 Norwalk River at Winnipauk, Connecticut 1997 0.049 

01209710 Norwalk River at Winnipauk, Connecticut 1998 0.116 

01209710 Norwalk River at Winnipauk, Connecticut 1999 0.079 

01349150 Canajoharie Creek near Canajoharie, New York 1992 6.757 

01349150 Canajoharie Creek near Canajoharie, New York 1993 6.460 

01349150 Canajoharie Creek near Canajoharie, New York 1994 6.857 

01349150 Canajoharie Creek near Canajoharie, New York 1995 8.912 

01349150 Canajoharie Creek near Canajoharie, New York 1996 7.040 

01349150 Canajoharie Creek near Canajoharie, New York 1997 8.809 

01349150 Canajoharie Creek near Canajoharie, New York 1998 5.443 

01349150 Canajoharie Creek near Canajoharie, New York 1999 6.108 

01357500 Mohawk River at Cohoes, New York 1992 4.059 

01357500 Mohawk River at Cohoes, New York 1993 3.916 

01357500 Mohawk River at Cohoes, New York 1994 4.491 

01357500 Mohawk River at Cohoes, New York 1995 5.187 

01357500 Mohawk River at Cohoes, New York 1996 4.827 

01357500 Mohawk River at Cohoes, New York 1997 5.049 

01357500 Mohawk River at Cohoes, New York 1998 3.291 

01357500 Mohawk River at Cohoes, New York 1999 3.528 

Appendix: Table A1. Annual atrazine-use intensity estimates for watersheds used to develop the Watershed Regressions for 

Pesticides model, 1992 through 1999.

[kg/km2, kilogram per square kilometer; —, no estimate]
108﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Appendix: Table A1. Annual atrazine-use intensity estimates for watersheds used to develop the Watershed Regressions for 

Pesticides model, 1992 through 1999.—Continued

[kg/km2, kilogram per square kilometer; —, no estimate]

Station ID Station name Year

Watershed

atrazine-use

intensity

(kg/km2

)

01403900 Bound Brook at Middlesex, New Jersey 1992 0.152 

01403900 Bound Brook at Middlesex, New Jersey 1993 0.102 

01403900 Bound Brook at Middlesex, New Jersey 1994 0.344 

01403900 Bound Brook at Middlesex, New Jersey 1995 0.115 

01403900 Bound Brook at Middlesex, New Jersey 1996 0.127 

01403900 Bound Brook at Middlesex, New Jersey 1997 0.278 

01403900 Bound Brook at Middlesex, New Jersey 1998 0.100 

01403900 Bound Brook at Middlesex, New Jersey 1999 0.084 

01410784 Great Egg Harbor River near Sicklerville, New Jersey 1992 0.364 

01410784 Great Egg Harbor River near Sicklerville, New Jersey 1993 0.198 

01410784 Great Egg Harbor River near Sicklerville, New Jersey 1994 0.287 

01410784 Great Egg Harbor River near Sicklerville, New Jersey 1995 0.557 

01410784 Great Egg Harbor River near Sicklerville, New Jersey 1996 0.442 

01410784 Great Egg Harbor River near Sicklerville, New Jersey 1997 0.582 

01410784 Great Egg Harbor River near Sicklerville, New Jersey 1998 0.598 

01410784 Great Egg Harbor River near Sicklerville, New Jersey 1999 0.500 

01464907 Little Neshaminy Creek at Valley Road near Neshaminy, Pennsylvania 1992 7.677 

01464907 Little Neshaminy Creek at Valley Road near Neshaminy, Pennsylvania 1993 6.070 

01464907 Little Neshaminy Creek at Valley Road near Neshaminy, Pennsylvania 1994 9.207 

01464907 Little Neshaminy Creek at Valley Road near Neshaminy, Pennsylvania 1995 12.650 

01464907 Little Neshaminy Creek at Valley Road near Neshaminy, Pennsylvania 1996 11.969 

01464907 Little Neshaminy Creek at Valley Road near Neshaminy, Pennsylvania 1997 11.535 

01464907 Little Neshaminy Creek at Valley Road near Neshaminy, Pennsylvania 1998 7.220 

01464907 Little Neshaminy Creek at Valley Road near Neshaminy, Pennsylvania 1999 6.307 

01470779 Tulpehocken Creek near Bernville, Pennsylvania 1992 37.655 

01470779 Tulpehocken Creek near Bernville, Pennsylvania 1993 33.590 

01470779 Tulpehocken Creek near Bernville, Pennsylvania 1994 45.345 

01470779 Tulpehocken Creek near Bernville, Pennsylvania 1995 61.427 

01470779 Tulpehocken Creek near Bernville, Pennsylvania 1996 59.871 

01470779 Tulpehocken Creek near Bernville, Pennsylvania 1997 54.604 

01470779 Tulpehocken Creek near Bernville, Pennsylvania 1998 38.486 

01470779 Tulpehocken Creek near Bernville, Pennsylvania 1999 33.311 

01474500 Schuylkill River at Philadelphia, Pennsylvania 1992 10.674 

01474500 Schuylkill River at Philadelphia, Pennsylvania 1993 9.114 

01474500 Schuylkill River at Philadelphia, Pennsylvania 1994 11.777 

01474500 Schuylkill River at Philadelphia, Pennsylvania 1995 14.873 

01474500 Schuylkill River at Philadelphia, Pennsylvania 1996 14.404 

01474500 Schuylkill River at Philadelphia, Pennsylvania 1997 13.451 

01474500 Schuylkill River at Philadelphia, Pennsylvania 1998 8.955 

01474500 Schuylkill River at Philadelphia, Pennsylvania 1999 8.386 
Tables﻿ ﻿ 109

Appendix: Table A1. Annual atrazine-use intensity estimates for watersheds used to develop the Watershed Regressions for 

Pesticides model, 1992 through 1999.—Continued

[kg/km2, kilogram per square kilometer; —, no estimate]

Station ID Station name Year

Watershed

atrazine-use

intensity

(kg/km2

)

01493112 Chesterville Branch near Crumpton, Maryland 1992 33.699 

01493112 Chesterville Branch near Crumpton, Maryland 1993 36.891 

01493112 Chesterville Branch near Crumpton, Maryland 1994 12.534 

01493112 Chesterville Branch near Crumpton, Maryland 1995 24.545 

01493112 Chesterville Branch near Crumpton, Maryland 1996 42.226 

01493112 Chesterville Branch near Crumpton, Maryland 1997 20.658 

01493112 Chesterville Branch near Crumpton, Maryland 1998 21.874 

01493112 Chesterville Branch near Crumpton, Maryland 1999 28.133 

01555400 East Mahantango Creek at Klingerstown, Pennsylvania 1992 41.732 

01555400 East Mahantango Creek at Klingerstown, Pennsylvania 1993 35.039 

01555400 East Mahantango Creek at Klingerstown, Pennsylvania 1994 30.110 

01555400 East Mahantango Creek at Klingerstown, Pennsylvania 1995 20.672 

01555400 East Mahantango Creek at Klingerstown, Pennsylvania 1996 22.666 

01555400 East Mahantango Creek at Klingerstown, Pennsylvania 1997 22.918 

01555400 East Mahantango Creek at Klingerstown, Pennsylvania 1998 21.974 

01555400 East Mahantango Creek at Klingerstown, Pennsylvania 1999 27.631 

01571490 Cedar Run at Eberlys Mill, Pennsylvania 1992 8.304 

01571490 Cedar Run at Eberlys Mill, Pennsylvania 1993 10.793 

01571490 Cedar Run at Eberlys Mill, Pennsylvania 1994 10.416 

01571490 Cedar Run at Eberlys Mill, Pennsylvania 1995 10.175 

01571490 Cedar Run at Eberlys Mill, Pennsylvania 1996 7.786 

01571490 Cedar Run at Eberlys Mill, Pennsylvania 1997 6.120 

01571490 Cedar Run at Eberlys Mill, Pennsylvania 1998 13.188 

01571490 Cedar Run at Eberlys Mill, Pennsylvania 1999 9.393 

01576540 Mill Creek at Eshelman Mill Road near Lyndon, Pennsylvania 1992 36.809 

01576540 Mill Creek at Eshelman Mill Road near Lyndon, Pennsylvania 1993 31.840 

01576540 Mill Creek at Eshelman Mill Road near Lyndon, Pennsylvania 1994 42.464 

01576540 Mill Creek at Eshelman Mill Road near Lyndon, Pennsylvania 1995 56.948 

01576540 Mill Creek at Eshelman Mill Road near Lyndon, Pennsylvania 1996 53.117 

01576540 Mill Creek at Eshelman Mill Road near Lyndon, Pennsylvania 1997 50.405 

01576540 Mill Creek at Eshelman Mill Road near Lyndon, Pennsylvania 1998 33.675 

01576540 Mill Creek at Eshelman Mill Road near Lyndon, Pennsylvania 1999 30.570 

01621050 Muddy Creek at Mount Clinton, Virginia 1992 26.243 

01621050 Muddy Creek at Mount Clinton, Virginia 1993 20.350 

01621050 Muddy Creek at Mount Clinton, Virginia 1994 4.576 

01621050 Muddy Creek at Mount Clinton, Virginia 1995 8.046 

01621050 Muddy Creek at Mount Clinton, Virginia 1996 6.603 

01621050 Muddy Creek at Mount Clinton, Virginia 1997 10.755 

01621050 Muddy Creek at Mount Clinton, Virginia 1998 7.966 

01621050 Muddy Creek at Mount Clinton, Virginia 1999 7.914 
110﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Appendix: Table A1. Annual atrazine-use intensity estimates for watersheds used to develop the Watershed Regressions for 

Pesticides model, 1992 through 1999.—Continued

[kg/km2, kilogram per square kilometer; —, no estimate]

Station ID Station name Year

Watershed

atrazine-use

intensity

(kg/km2

)

01639000 Monocacy River at Bridgeport, Maryland 1992 6.518 

01639000 Monocacy River at Bridgeport, Maryland 1993 7.815 

01639000 Monocacy River at Bridgeport, Maryland 1994 8.240 

01639000 Monocacy River at Bridgeport, Maryland 1995 7.141 

01639000 Monocacy River at Bridgeport, Maryland 1996 6.110 

01639000 Monocacy River at Bridgeport, Maryland 1997 4.986 

01639000 Monocacy River at Bridgeport, Maryland 1998 9.839 

01639000 Monocacy River at Bridgeport, Maryland 1999 7.486 

01646580 Potomac River at Chain Bridge at Washington, District of Columbia 1992 6.685 

01646580 Potomac River at Chain Bridge at Washington, District of Columbia 1993 5.888 

01646580 Potomac River at Chain Bridge at Washington, District of Columbia 1994 7.030 

01646580 Potomac River at Chain Bridge at Washington, District of Columbia 1995 4.257 

01646580 Potomac River at Chain Bridge at Washington, District of Columbia 1996 4.194 

01646580 Potomac River at Chain Bridge at Washington, District of Columbia 1997 5.108 

01646580 Potomac River at Chain Bridge at Washington, District of Columbia 1998 5.023 

01646580 Potomac River at Chain Bridge at Washington, District of Columbia 1999 3.553 

01654000 Accotink Creek near Annandale, Virginia 1992 —

01654000 Accotink Creek near Annandale, Virginia 1993 —

01654000 Accotink Creek near Annandale, Virginia 1994 —

01654000 Accotink Creek near Annandale, Virginia 1995 —

01654000 Accotink Creek near Annandale, Virginia 1996 —

01654000 Accotink Creek near Annandale, Virginia 1997 —

01654000 Accotink Creek near Annandale, Virginia 1998 —

01654000 Accotink Creek near Annandale, Virginia 1999 —

02083500 Tar River at Tarboro, North Carolina 1992 2.387 

02083500 Tar River at Tarboro, North Carolina 1993 3.167 

02083500 Tar River at Tarboro, North Carolina 1994 2.051 

02083500 Tar River at Tarboro, North Carolina 1995 2.297 

02083500 Tar River at Tarboro, North Carolina 1996 2.300 

02083500 Tar River at Tarboro, North Carolina 1997 1.296 

02083500 Tar River at Tarboro, North Carolina 1998 2.270 

02083500 Tar River at Tarboro, North Carolina 1999 1.314 

02083833 Pete Mitchell Swamp at Highway 1409 near Penny Hill, North Carolina 1992 11.123 

02083833 Pete Mitchell Swamp at Highway 1409 near Penny Hill, North Carolina 1993 12.852 

02083833 Pete Mitchell Swamp at Highway 1409 near Penny Hill, North Carolina 1994 10.069 

02083833 Pete Mitchell Swamp at Highway 1409 near Penny Hill, North Carolina 1995 8.330 

02083833 Pete Mitchell Swamp at Highway 1409 near Penny Hill, North Carolina 1996 5.685 

02083833 Pete Mitchell Swamp at Highway 1409 near Penny Hill, North Carolina 1997 5.982 

02083833 Pete Mitchell Swamp at Highway 1409 near Penny Hill, North Carolina 1998 12.989 

02083833 Pete Mitchell Swamp at Highway 1409 near Penny Hill, North Carolina 1999 6.856 
Tables﻿ ﻿ 111

Appendix: Table A1. Annual atrazine-use intensity estimates for watersheds used to develop the Watershed Regressions for 

Pesticides model, 1992 through 1999.—Continued

[kg/km2, kilogram per square kilometer; —, no estimate]

Station ID Station name Year

Watershed

atrazine-use

intensity

(kg/km2

)

02084558 Albemarle Canal near Swindell, North Carolina 1992 16.453 

02084558 Albemarle Canal near Swindell, North Carolina 1993 16.193 

02084558 Albemarle Canal near Swindell, North Carolina 1994 17.981 

02084558 Albemarle Canal near Swindell, North Carolina 1995 18.082 

02084558 Albemarle Canal near Swindell, North Carolina 1996 12.887 

02084558 Albemarle Canal near Swindell, North Carolina 1997 12.665 

02084558 Albemarle Canal near Swindell, North Carolina 1998 24.900 

02084558 Albemarle Canal near Swindell, North Carolina 1999 17.498 

02169570 Gills Creek at Columbia, South Carolina 1992 0.661 

02169570 Gills Creek at Columbia, South Carolina 1993 0.553 

02169570 Gills Creek at Columbia, South Carolina 1994 0.383 

02169570 Gills Creek at Columbia, South Carolina 1995 0.319 

02169570 Gills Creek at Columbia, South Carolina 1996 0.505 

02169570 Gills Creek at Columbia, South Carolina 1997 0.390 

02169570 Gills Creek at Columbia, South Carolina 1998 0.781 

02169570 Gills Creek at Columbia, South Carolina 1999 0.198 

02215100 Tucsawhatchee Creek at Highway 27 near Hawkinsville, Georgia 1992 3.170 

02215100 Tucsawhatchee Creek at Highway 27 near Hawkinsville, Georgia 1993 2.536 

02215100 Tucsawhatchee Creek at Highway 27 near Hawkinsville, Georgia 1994 4.185 

02215100 Tucsawhatchee Creek at Highway 27 near Hawkinsville, Georgia 1995 0.877 

02215100 Tucsawhatchee Creek at Highway 27 near Hawkinsville, Georgia 1996 1.588 

02215100 Tucsawhatchee Creek at Highway 27 near Hawkinsville, Georgia 1997 0.854 

02215100 Tucsawhatchee Creek at Highway 27 near Hawkinsville, Georgia 1998 1.553 

02215100 Tucsawhatchee Creek at Highway 27 near Hawkinsville, Georgia 1999 1.089 

02318500 Withlacoochee River at US 84 near Quitman, Georgia 1992 3.863 

02318500 Withlacoochee River at US 84 near Quitman, Georgia 1993 4.778 

02318500 Withlacoochee River at US 84 near Quitman, Georgia 1994 4.051 

02318500 Withlacoochee River at US 84 near Quitman, Georgia 1995 5.075 

02318500 Withlacoochee River at US 84 near Quitman, Georgia 1996 1.880 

02318500 Withlacoochee River at US 84 near Quitman, Georgia 1997 2.034 

02318500 Withlacoochee River at US 84 near Quitman, Georgia 1998 2.971 

02318500 Withlacoochee River at US 84 near Quitman, Georgia 1999 2.763 

02335870 Sope Creek at South Roswell Road near Marietta, Georgia 1992 0.000 

02335870 Sope Creek at South Roswell Road near Marietta, Georgia 1993 0.000 

02335870 Sope Creek at South Roswell Road near Marietta, Georgia 1994 0.000 

02335870 Sope Creek at South Roswell Road near Marietta, Georgia 1995 0.000 

02335870 Sope Creek at South Roswell Road near Marietta, Georgia 1996 0.000 

02335870 Sope Creek at South Roswell Road near Marietta, Georgia 1997 0.000 

02335870 Sope Creek at South Roswell Road near Marietta, Georgia 1998 0.000 

02335870 Sope Creek at South Roswell Road near Marietta, Georgia 1999 0.000 
112﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Appendix: Table A1. Annual atrazine-use intensity estimates for watersheds used to develop the Watershed Regressions for 

Pesticides model, 1992 through 1999.—Continued

[kg/km2, kilogram per square kilometer; —, no estimate]

Station ID Station name Year

Watershed

atrazine-use

intensity

(kg/km2

)

02350080 Lime Creek at County Road near Cobb, Georgia 1992 8.184 

02350080 Lime Creek at County Road near Cobb, Georgia 1993 3.790 

02350080 Lime Creek at County Road near Cobb, Georgia 1994 4.753 

02350080 Lime Creek at County Road near Cobb, Georgia 1995 0.869 

02350080 Lime Creek at County Road near Cobb, Georgia 1996 5.455 

02350080 Lime Creek at County Road near Cobb, Georgia 1997 5.507 

02350080 Lime Creek at County Road near Cobb, Georgia 1998 9.929 

02350080 Lime Creek at County Road near Cobb, Georgia 1999 4.890 

02424000 Cahaba River at Centreville, Alabama 1992 0.133 

02424000 Cahaba River at Centreville, Alabama 1993 0.202 

02424000 Cahaba River at Centreville, Alabama 1994 0.044 

02424000 Cahaba River at Centreville, Alabama 1995 0.220 

02424000 Cahaba River at Centreville, Alabama 1996 0.593 

02424000 Cahaba River at Centreville, Alabama 1997 0.037 

02424000 Cahaba River at Centreville, Alabama 1998 0.410 

02424000 Cahaba River at Centreville, Alabama 1999 0.146 

03167000 Reed Creek at Grahams Forge, Virginia 1992 3.851 

03167000 Reed Creek at Grahams Forge, Virginia 1993 4.562 

03167000 Reed Creek at Grahams Forge, Virginia 1994 7.883 

03167000 Reed Creek at Grahams Forge, Virginia 1995 2.671 

03167000 Reed Creek at Grahams Forge, Virginia 1996 8.244 

03167000 Reed Creek at Grahams Forge, Virginia 1997 0.903 

03167000 Reed Creek at Grahams Forge, Virginia 1998 6.808 

03167000 Reed Creek at Grahams Forge, Virginia 1999 3.638 

03176500 New River at Glen Lyn, Virginia 1992 2.334 

03176500 New River at Glen Lyn, Virginia 1993 2.502 

03176500 New River at Glen Lyn, Virginia 1994 3.663 

03176500 New River at Glen Lyn, Virginia 1995 1.333 

03176500 New River at Glen Lyn, Virginia 1996 4.010 

03176500 New River at Glen Lyn, Virginia 1997 0.407 

03176500 New River at Glen Lyn, Virginia 1998 3.157 

03176500 New River at Glen Lyn, Virginia 1999 1.805 

03216600 Ohio River at Greenup Dam, Kentucky 1992 3.926 

03216600 Ohio River at Greenup Dam, Kentucky 1993 2.784 

03216600 Ohio River at Greenup Dam, Kentucky 1994 3.400 

03216600 Ohio River at Greenup Dam, Kentucky 1995 2.923 

03216600 Ohio River at Greenup Dam, Kentucky 1996 3.102 

03216600 Ohio River at Greenup Dam, Kentucky 1997 3.831 

03216600 Ohio River at Greenup Dam, Kentucky 1998 4.108 

03216600 Ohio River at Greenup Dam, Kentucky 1999 3.084 
Tables﻿ ﻿ 113

Appendix: Table A1. Annual atrazine-use intensity estimates for watersheds used to develop the Watershed Regressions for 

Pesticides model, 1992 through 1999.—Continued

[kg/km2, kilogram per square kilometer; —, no estimate]

Station ID Station name Year

Watershed

atrazine-use

intensity

(kg/km2

)

03274000 Great Miami River at Hamilton, Ohio 1992 27.570 

03274000 Great Miami River at Hamilton, Ohio 1993 20.693 

03274000 Great Miami River at Hamilton, Ohio 1994 30.312 

03274000 Great Miami River at Hamilton, Ohio 1995 18.639 

03274000 Great Miami River at Hamilton, Ohio 1996 31.959 

03274000 Great Miami River at Hamilton, Ohio 1997 31.638 

03274000 Great Miami River at Hamilton, Ohio 1998 27.925 

03274000 Great Miami River at Hamilton, Ohio 1999 26.891 

03353637 Little Buck Creek near Indianapolis, Indiana 1992 8.633 

03353637 Little Buck Creek near Indianapolis, Indiana 1993 11.287 

03353637 Little Buck Creek near Indianapolis, Indiana 1994 11.138 

03353637 Little Buck Creek near Indianapolis, Indiana 1995 8.021 

03353637 Little Buck Creek near Indianapolis, Indiana 1996 5.449 

03353637 Little Buck Creek near Indianapolis, Indiana 1997 6.577 

03353637 Little Buck Creek near Indianapolis, Indiana 1998 7.910 

03353637 Little Buck Creek near Indianapolis, Indiana 1999 7.193 

03354000 White River near Centerton, Indiana 1992 29.356 

03354000 White River near Centerton, Indiana 1993 31.403 

03354000 White River near Centerton, Indiana 1994 33.704 

03354000 White River near Centerton, Indiana 1995 27.309 

03354000 White River near Centerton, Indiana 1996 25.318 

03354000 White River near Centerton, Indiana 1997 30.173 

03354000 White River near Centerton, Indiana 1998 36.628 

03354000 White River near Centerton, Indiana 1999 37.208 

03360895 Kessinger Ditch near Monroe City, Indiana 1992 46.567 

03360895 Kessinger Ditch near Monroe City, Indiana 1993 51.014 

03360895 Kessinger Ditch near Monroe City, Indiana 1994 58.268 

03360895 Kessinger Ditch near Monroe City, Indiana 1995 42.885 

03360895 Kessinger Ditch near Monroe City, Indiana 1996 35.294 

03360895 Kessinger Ditch near Monroe City, Indiana 1997 52.469 

03360895 Kessinger Ditch near Monroe City, Indiana 1998 51.779 

03360895 Kessinger Ditch near Monroe City, Indiana 1999 52.801 

03373500 East Fork White River at Shoals, Indiana 1992 26.379 

03373500 East Fork White River at Shoals, Indiana 1993 31.677 

03373500 East Fork White River at Shoals, Indiana 1994 34.039 

03373500 East Fork White River at Shoals, Indiana 1995 27.821 

03373500 East Fork White River at Shoals, Indiana 1996 28.330 

03373500 East Fork White River at Shoals, Indiana 1997 34.472 

03373500 East Fork White River at Shoals, Indiana 1998 33.259 

03373500 East Fork White River at Shoals, Indiana 1999 29.890 
114﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Appendix: Table A1. Annual atrazine-use intensity estimates for watersheds used to develop the Watershed Regressions for 

Pesticides model, 1992 through 1999.—Continued

[kg/km2, kilogram per square kilometer; —, no estimate]

Station ID Station name Year

Watershed

atrazine-use

intensity

(kg/km2

)

03374100 White River at Hazleton, Indiana 1992 28.706 

03374100 White River at Hazleton, Indiana 1993 30.073 

03374100 White River at Hazleton, Indiana 1994 34.546 

03374100 White River at Hazleton, Indiana 1995 26.741 

03374100 White River at Hazleton, Indiana 1996 24.780 

03374100 White River at Hazleton, Indiana 1997 31.692 

03374100 White River at Hazleton, Indiana 1998 32.526 

03374100 White River at Hazleton, Indiana 1999 30.376 

03466208 Big Limestone Creek near Limestone, Tennessee 1992 11.356 

03466208 Big Limestone Creek near Limestone, Tennessee 1993 8.284 

03466208 Big Limestone Creek near Limestone, Tennessee 1994 5.548 

03466208 Big Limestone Creek near Limestone, Tennessee 1995 13.898 

03466208 Big Limestone Creek near Limestone, Tennessee 1996 11.457 

03466208 Big Limestone Creek near Limestone, Tennessee 1997 7.478 

03466208 Big Limestone Creek near Limestone, Tennessee 1998 6.746 

03466208 Big Limestone Creek near Limestone, Tennessee 1999 4.938 

03467609 Nolichucky River near Lowland, Tennessee 1992 3.725 

03467609 Nolichucky River near Lowland, Tennessee 1993 3.136 

03467609 Nolichucky River near Lowland, Tennessee 1994 1.827 

03467609 Nolichucky River near Lowland, Tennessee 1995 4.262 

03467609 Nolichucky River near Lowland, Tennessee 1996 3.443 

03467609 Nolichucky River near Lowland, Tennessee 1997 2.283 

03467609 Nolichucky River near Lowland, Tennessee 1998 2.027 

03467609 Nolichucky River near Lowland, Tennessee 1999 1.470 

03526000 Copper Creek near Gate City, Virginia 1992 0.703 

03526000 Copper Creek near Gate City, Virginia 1993 0.856 

03526000 Copper Creek near Gate City, Virginia 1994 1.524 

03526000 Copper Creek near Gate City, Virginia 1995 0.578 

03526000 Copper Creek near Gate City, Virginia 1996 1.595 

03526000 Copper Creek near Gate City, Virginia 1997 0.142 

03526000 Copper Creek near Gate City, Virginia 1998 1.267 

03526000 Copper Creek near Gate City, Virginia 1999 0.706 

03612500 Ohio River near Grand Chain, Illinois 1992 12.260 

03612500 Ohio River near Grand Chain, Illinois 1993 11.003 

03612500 Ohio River near Grand Chain, Illinois 1994 12.830 

03612500 Ohio River near Grand Chain, Illinois 1995 10.357 

03612500 Ohio River near Grand Chain, Illinois 1996 10.069 

03612500 Ohio River near Grand Chain, Illinois 1997 11.248 

03612500 Ohio River near Grand Chain, Illinois 1998 11.924 

03612500 Ohio River near Grand Chain, Illinois 1999 11.502 
Tables﻿ ﻿ 115

Appendix: Table A1. Annual atrazine-use intensity estimates for watersheds used to develop the Watershed Regressions for 

Pesticides model, 1992 through 1999.—Continued

[kg/km2, kilogram per square kilometer; —, no estimate]

Station ID Station name Year

Watershed

atrazine-use

intensity

(kg/km2

)

04087000 Milwaukee River at Milwaukee, Wisconsin 1992 9.883 

04087000 Milwaukee River at Milwaukee, Wisconsin 1993 6.588 

04087000 Milwaukee River at Milwaukee, Wisconsin 1994 4.962 

04087000 Milwaukee River at Milwaukee, Wisconsin 1995 5.096 

04087000 Milwaukee River at Milwaukee, Wisconsin 1996 4.395 

04087000 Milwaukee River at Milwaukee, Wisconsin 1997 6.047 

04087000 Milwaukee River at Milwaukee, Wisconsin 1998 7.194 

04087000 Milwaukee River at Milwaukee, Wisconsin 1999 5.986 

04178000 St. Joseph River near Newville, Indiana 1992 25.278 

04178000 St. Joseph River near Newville, Indiana 1993 24.148 

04178000 St. Joseph River near Newville, Indiana 1994 21.871 

04178000 St. Joseph River near Newville, Indiana 1995 22.782 

04178000 St. Joseph River near Newville, Indiana 1996 21.539 

04178000 St. Joseph River near Newville, Indiana 1997 22.994 

04178000 St. Joseph River near Newville, Indiana 1998 19.324 

04178000 St. Joseph River near Newville, Indiana 1999 17.678 

04186500 Auglaize River near Fort Jennings, Ohio 1992 25.152 

04186500 Auglaize River near Fort Jennings, Ohio 1993 24.403 

04186500 Auglaize River near Fort Jennings, Ohio 1994 24.740 

04186500 Auglaize River near Fort Jennings, Ohio 1995 19.305 

04186500 Auglaize River near Fort Jennings, Ohio 1996 25.806 

04186500 Auglaize River near Fort Jennings, Ohio 1997 27.480 

04186500 Auglaize River near Fort Jennings, Ohio 1998 28.444 

04186500 Auglaize River near Fort Jennings, Ohio 1999 23.718 

04193500 Maumee River at Waterville, Ohio 1992 30.755 

04193500 Maumee River at Waterville, Ohio 1993 29.453 

04193500 Maumee River at Waterville, Ohio 1994 24.865 

04193500 Maumee River at Waterville, Ohio 1995 24.193 

04193500 Maumee River at Waterville, Ohio 1996 24.416 

04193500 Maumee River at Waterville, Ohio 1997 31.651 

04193500 Maumee River at Waterville, Ohio 1998 25.987 

04193500 Maumee River at Waterville, Ohio 1999 23.915 

04208504 Cuyahoga River at LTV Steel at Cleveland, Ohio 1992 3.241 

04208504 Cuyahoga River at LTV Steel at Cleveland, Ohio 1993 2.654 

04208504 Cuyahoga River at LTV Steel at Cleveland, Ohio 1994 3.485 

04208504 Cuyahoga River at LTV Steel at Cleveland, Ohio 1995 3.341 

04208504 Cuyahoga River at LTV Steel at Cleveland, Ohio 1996 4.015 

04208504 Cuyahoga River at LTV Steel at Cleveland, Ohio 1997 2.844 

04208504 Cuyahoga River at LTV Steel at Cleveland, Ohio 1998 3.737 

04208504 Cuyahoga River at LTV Steel at Cleveland, Ohio 1999 2.496 
116﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Appendix: Table A1. Annual atrazine-use intensity estimates for watersheds used to develop the Watershed Regressions for 

Pesticides model, 1992 through 1999.—Continued

[kg/km2, kilogram per square kilometer; —, no estimate]

Station ID Station name Year

Watershed

atrazine-use

intensity

(kg/km2

)

04211820 Grand River at Harpersfield, Ohio 1992 7.637 

04211820 Grand River at Harpersfield, Ohio 1993 6.062 

04211820 Grand River at Harpersfield, Ohio 1994 8.212 

04211820 Grand River at Harpersfield, Ohio 1995 7.888 

04211820 Grand River at Harpersfield, Ohio 1996 10.478 

04211820 Grand River at Harpersfield, Ohio 1997 6.610 

04211820 Grand River at Harpersfield, Ohio 1998 9.891 

04211820 Grand River at Harpersfield, Ohio 1999 6.036 

05062500 Wild Rice River at Twin Valley, Minnesota 1992 0.048 

05062500 Wild Rice River at Twin Valley, Minnesota 1993 0.033 

05062500 Wild Rice River at Twin Valley, Minnesota 1994 0.066 

05062500 Wild Rice River at Twin Valley, Minnesota 1995 0.062 

05062500 Wild Rice River at Twin Valley, Minnesota 1996 0.209 

05062500 Wild Rice River at Twin Valley, Minnesota 1997 0.428 

05062500 Wild Rice River at Twin Valley, Minnesota 1998 1.015 

05062500 Wild Rice River at Twin Valley, Minnesota 1999 0.314 

05082625 Turtle River at Turtle River State Park near Arvilla, North Dakota 1992 0.002 

05082625 Turtle River at Turtle River State Park near Arvilla, North Dakota 1993 0.004 

05082625 Turtle River at Turtle River State Park near Arvilla, North Dakota 1994 0.011 

05082625 Turtle River at Turtle River State Park near Arvilla, North Dakota 1995 0.006 

05082625 Turtle River at Turtle River State Park near Arvilla, North Dakota 1996 1.099 

05082625 Turtle River at Turtle River State Park near Arvilla, North Dakota 1997 0.001 

05082625 Turtle River at Turtle River State Park near Arvilla, North Dakota 1998 0.001 

05082625 Turtle River at Turtle River State Park near Arvilla, North Dakota 1999 0.001 

05085900 Snake River above Alvarado, Minnesota 1992 0.027 

05085900 Snake River above Alvarado, Minnesota 1993 0.028 

05085900 Snake River above Alvarado, Minnesota 1994 0.094 

05085900 Snake River above Alvarado, Minnesota 1995 0.044 

05085900 Snake River above Alvarado, Minnesota 1996 0.133 

05085900 Snake River above Alvarado, Minnesota 1997 0.386 

05085900 Snake River above Alvarado, Minnesota 1998 0.783 

05085900 Snake River above Alvarado, Minnesota 1999 0.203 

05288705 Shingle Creek at Queen Avenue at Minneapolis, Minnesota 1992 0.801 

05288705 Shingle Creek at Queen Avenue at Minneapolis, Minnesota 1993 0.266 

05288705 Shingle Creek at Queen Avenue at Minneapolis, Minnesota 1994 0.329 

05288705 Shingle Creek at Queen Avenue at Minneapolis, Minnesota 1995 0.171 

05288705 Shingle Creek at Queen Avenue at Minneapolis, Minnesota 1996 0.191 

05288705 Shingle Creek at Queen Avenue at Minneapolis, Minnesota 1997 0.158 

05288705 Shingle Creek at Queen Avenue at Minneapolis, Minnesota 1998 0.147 

05288705 Shingle Creek at Queen Avenue at Minneapolis, Minnesota 1999 0.412 
Tables﻿ ﻿ 117

Appendix: Table A1. Annual atrazine-use intensity estimates for watersheds used to develop the Watershed Regressions for 

Pesticides model, 1992 through 1999.—Continued

[kg/km2, kilogram per square kilometer; —, no estimate]

Station ID Station name Year

Watershed

atrazine-use

intensity

(kg/km2

)

05320270 Little Cobb River near Beauford, Minnesota 1992 8.847 

05320270 Little Cobb River near Beauford, Minnesota 1993 8.866 

05320270 Little Cobb River near Beauford, Minnesota 1994 12.283 

05320270 Little Cobb River near Beauford, Minnesota 1995 16.108 

05320270 Little Cobb River near Beauford, Minnesota 1996 17.832 

05320270 Little Cobb River near Beauford, Minnesota 1997 23.022 

05320270 Little Cobb River near Beauford, Minnesota 1998 17.764 

05320270 Little Cobb River near Beauford, Minnesota 1999 13.985 

05330000 Minnesota River near Jordan, Minnesota 1992 7.345 

05330000 Minnesota River near Jordan, Minnesota 1993 6.173 

05330000 Minnesota River near Jordan, Minnesota 1994 9.306 

05330000 Minnesota River near Jordan, Minnesota 1995 7.888 

05330000 Minnesota River near Jordan, Minnesota 1996 9.251 

05330000 Minnesota River near Jordan, Minnesota 1997 11.268 

05330000 Minnesota River near Jordan, Minnesota 1998 10.856 

05330000 Minnesota River near Jordan, Minnesota 1999 10.548 

05330902 Nine Mile Creek near James Circle at Bloomington, Minnesota 1992 0.006 

05330902 Nine Mile Creek near James Circle at Bloomington, Minnesota 1993 0.002 

05330902 Nine Mile Creek near James Circle at Bloomington, Minnesota 1994 0.002 

05330902 Nine Mile Creek near James Circle at Bloomington, Minnesota 1995 0.001 

05330902 Nine Mile Creek near James Circle at Bloomington, Minnesota 1996 0.001 

05330902 Nine Mile Creek near James Circle at Bloomington, Minnesota 1997 0.001 

05330902 Nine Mile Creek near James Circle at Bloomington, Minnesota 1998 0.001 

05330902 Nine Mile Creek near James Circle at Bloomington, Minnesota 1999 0.003 

05331580 Mississippi River below Lock and Dam no. 2 at Hastings, Minnesota 1992 6.200 

05331580 Mississippi River below Lock and Dam no. 2 at Hastings, Minnesota 1993 4.731 

05331580 Mississippi River below Lock and Dam no. 2 at Hastings, Minnesota 1994 7.460 

05331580 Mississippi River below Lock and Dam no. 2 at Hastings, Minnesota 1995 5.110 

05331580 Mississippi River below Lock and Dam no. 2 at Hastings, Minnesota 1996 6.897 

05331580 Mississippi River below Lock and Dam no. 2 at Hastings, Minnesota 1997 8.059 

05331580 Mississippi River below Lock and Dam no. 2 at Hastings, Minnesota 1998 7.619 

05331580 Mississippi River below Lock and Dam no. 2 at Hastings, Minnesota 1999 7.653 

05420500 Mississippi River at Clinton, Iowa 1992 11.511 

05420500 Mississippi River at Clinton, Iowa 1993 7.756 

05420500 Mississippi River at Clinton, Iowa 1994 9.833 

05420500 Mississippi River at Clinton, Iowa 1995 8.953 

05420500 Mississippi River at Clinton, Iowa 1996 10.364 

05420500 Mississippi River at Clinton, Iowa 1997 10.577 

05420500 Mississippi River at Clinton, Iowa 1998 9.681 

05420500 Mississippi River at Clinton, Iowa 1999 9.169 
118﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Appendix: Table A1. Annual atrazine-use intensity estimates for watersheds used to develop the Watershed Regressions for 

Pesticides model, 1992 through 1999.—Continued

[kg/km2, kilogram per square kilometer; —, no estimate]

Station ID Station name Year

Watershed

atrazine-use

intensity

(kg/km2

)

05449500 Iowa River near Rowan, Iowa 1992 14.791 

05449500 Iowa River near Rowan, Iowa 1993 18.168 

05449500 Iowa River near Rowan, Iowa 1994 19.456 

05449500 Iowa River near Rowan, Iowa 1995 15.387 

05449500 Iowa River near Rowan, Iowa 1996 29.825 

05449500 Iowa River near Rowan, Iowa 1997 21.069 

05449500 Iowa River near Rowan, Iowa 1998 23.190 

05449500 Iowa River near Rowan, Iowa 1999 23.206 

05464220 Wolf Creek near Dysart, Iowa 1992 34.184 

05464220 Wolf Creek near Dysart, Iowa 1993 24.841 

05464220 Wolf Creek near Dysart, Iowa 1994 23.367 

05464220 Wolf Creek near Dysart, Iowa 1995 26.309 

05464220 Wolf Creek near Dysart, Iowa 1996 22.557 

05464220 Wolf Creek near Dysart, Iowa 1997 35.745 

05464220 Wolf Creek near Dysart, Iowa 1998 23.726 

05464220 Wolf Creek near Dysart, Iowa 1999 29.064 

05465500 Iowa River at Wapello, Iowa 1992 30.960 

05465500 Iowa River at Wapello, Iowa 1993 25.443 

05465500 Iowa River at Wapello, Iowa 1994 26.092 

05465500 Iowa River at Wapello, Iowa 1995 22.191 

05465500 Iowa River at Wapello, Iowa 1996 32.689 

05465500 Iowa River at Wapello, Iowa 1997 27.399 

05465500 Iowa River at Wapello, Iowa 1998 27.194 

05465500 Iowa River at Wapello, Iowa 1999 29.148 

05525500 Sugar Creek at Milford, Illinois 1992 55.511 

05525500 Sugar Creek at Milford, Illinois 1993 47.447 

05525500 Sugar Creek at Milford, Illinois 1994 48.298 

05525500 Sugar Creek at Milford, Illinois 1995 41.819 

05525500 Sugar Creek at Milford, Illinois 1996 35.595 

05525500 Sugar Creek at Milford, Illinois 1997 38.549 

05525500 Sugar Creek at Milford, Illinois 1998 49.676 

05525500 Sugar Creek at Milford, Illinois 1999 51.181 

05531500 Salt Creek at Western Springs, Illinois 1992 0.425 

05531500 Salt Creek at Western Springs, Illinois 1993 0.365 

05531500 Salt Creek at Western Springs, Illinois 1994 0.379 

05531500 Salt Creek at Western Springs, Illinois 1995 0.292 

05531500 Salt Creek at Western Springs, Illinois 1996 0.165 

05531500 Salt Creek at Western Springs, Illinois 1997 0.295 

05531500 Salt Creek at Western Springs, Illinois 1998 0.293 

05531500 Salt Creek at Western Springs, Illinois 1999 0.227 
Tables﻿ ﻿ 119

Appendix: Table A1. Annual atrazine-use intensity estimates for watersheds used to develop the Watershed Regressions for 

Pesticides model, 1992 through 1999.—Continued

[kg/km2, kilogram per square kilometer; —, no estimate]

Station ID Station name Year

Watershed

atrazine-use

intensity

(kg/km2

)

05532500 Des Plaines River at Riverside, Illinois 1992 8.102 

05532500 Des Plaines River at Riverside, Illinois 1993 7.501 

05532500 Des Plaines River at Riverside, Illinois 1994 5.354 

05532500 Des Plaines River at Riverside, Illinois 1995 5.058 

05532500 Des Plaines River at Riverside, Illinois 1996 2.791 

05532500 Des Plaines River at Riverside, Illinois 1997 4.831 

05532500 Des Plaines River at Riverside, Illinois 1998 6.361 

05532500 Des Plaines River at Riverside, Illinois 1999 4.394 

05553500 Illinois River at Ottawa, Illinois 1992 38.508 

05553500 Illinois River at Ottawa, Illinois 1993 31.965 

05553500 Illinois River at Ottawa, Illinois 1994 33.190 

05553500 Illinois River at Ottawa, Illinois 1995 27.999 

05553500 Illinois River at Ottawa, Illinois 1996 24.881 

05553500 Illinois River at Ottawa, Illinois 1997 29.166 

05553500 Illinois River at Ottawa, Illinois 1998 32.687 

05553500 Illinois River at Ottawa, Illinois 1999 31.291 

05572000 Sangamon River at Monticello, Illinois 1992 43.621 

05572000 Sangamon River at Monticello, Illinois 1993 44.088 

05572000 Sangamon River at Monticello, Illinois 1994 36.335 

05572000 Sangamon River at Monticello, Illinois 1995 34.367 

05572000 Sangamon River at Monticello, Illinois 1996 29.819 

05572000 Sangamon River at Monticello, Illinois 1997 28.594 

05572000 Sangamon River at Monticello, Illinois 1998 42.747 

05572000 Sangamon River at Monticello, Illinois 1999 42.453 

05584500 La Moine River at Colmar, Illinois 1992 29.777 

05584500 La Moine River at Colmar, Illinois 1993 51.895 

05584500 La Moine River at Colmar, Illinois 1994 60.006 

05584500 La Moine River at Colmar, Illinois 1995 48.527 

05584500 La Moine River at Colmar, Illinois 1996 40.363 

05584500 La Moine River at Colmar, Illinois 1997 57.781 

05584500 La Moine River at Colmar, Illinois 1998 44.180 

05584500 La Moine River at Colmar, Illinois 1999 50.789 

05586100 Illinois River at Valley City, Illinois 1992 38.234 

05586100 Illinois River at Valley City, Illinois 1993 34.021 

05586100 Illinois River at Valley City, Illinois 1994 37.986 

05586100 Illinois River at Valley City, Illinois 1995 33.351 

05586100 Illinois River at Valley City, Illinois 1996 34.158 

05586100 Illinois River at Valley City, Illinois 1997 37.244 

05586100 Illinois River at Valley City, Illinois 1998 36.600 

05586100 Illinois River at Valley City, Illinois 1999 37.212 
120﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Appendix: Table A1. Annual atrazine-use intensity estimates for watersheds used to develop the Watershed Regressions for 

Pesticides model, 1992 through 1999.—Continued

[kg/km2, kilogram per square kilometer; —, no estimate]

Station ID Station name Year

Watershed

atrazine-use

intensity

(kg/km2

)

06279500 Bighorn River at Kane, Wyoming 1992 0.000 

06279500 Bighorn River at Kane, Wyoming 1993 0.005 

06279500 Bighorn River at Kane, Wyoming 1994 0.003 

06279500 Bighorn River at Kane, Wyoming 1995 0.010 

06279500 Bighorn River at Kane, Wyoming 1996 0.026 

06279500 Bighorn River at Kane, Wyoming 1997 0.082 

06279500 Bighorn River at Kane, Wyoming 1998 0.003 

06279500 Bighorn River at Kane, Wyoming 1999 0.007 

06295000 Yellowstone River at Forsyth, Montana 1992 0.001 

06295000 Yellowstone River at Forsyth, Montana 1993 0.003 

06295000 Yellowstone River at Forsyth, Montana 1994 0.002 

06295000 Yellowstone River at Forsyth, Montana 1995 0.027 

06295000 Yellowstone River at Forsyth, Montana 1996 0.015 

06295000 Yellowstone River at Forsyth, Montana 1997 0.045 

06295000 Yellowstone River at Forsyth, Montana 1998 0.002 

06295000 Yellowstone River at Forsyth, Montana 1999 0.004 

06329500 Yellowstone River near Sidney, Montana 1992 0.022 

06329500 Yellowstone River near Sidney, Montana 1993 0.023 

06329500 Yellowstone River near Sidney, Montana 1994 0.023 

06329500 Yellowstone River near Sidney, Montana 1995 0.040 

06329500 Yellowstone River near Sidney, Montana 1996 0.031 

06329500 Yellowstone River near Sidney, Montana 1997 0.049 

06329500 Yellowstone River near Sidney, Montana 1998 0.002 

06329500 Yellowstone River near Sidney, Montana 1999 0.012 

06713500 Cherry Creek at Denver, Colorado 1992 0.006 

06713500 Cherry Creek at Denver, Colorado 1993 0.004 

06713500 Cherry Creek at Denver, Colorado 1994 0.009 

06713500 Cherry Creek at Denver, Colorado 1995 0.015 

06713500 Cherry Creek at Denver, Colorado 1996 0.012 

06713500 Cherry Creek at Denver, Colorado 1997 0.014 

06713500 Cherry Creek at Denver, Colorado 1998 0.007 

06713500 Cherry Creek at Denver, Colorado 1999 0.025 

06714000 South Platte River at Denver, Colorado 1992 0.018 

06714000 South Platte River at Denver, Colorado 1993 0.031 

06714000 South Platte River at Denver, Colorado 1994 0.019 

06714000 South Platte River at Denver, Colorado 1995 0.021 

06714000 South Platte River at Denver, Colorado 1996 0.027 

06714000 South Platte River at Denver, Colorado 1997 0.055 

06714000 South Platte River at Denver, Colorado 1998 0.026 

06714000 South Platte River at Denver, Colorado 1999 0.061 
Tables﻿ ﻿ 121

Appendix: Table A1. Annual atrazine-use intensity estimates for watersheds used to develop the Watershed Regressions for 

Pesticides model, 1992 through 1999.—Continued

[kg/km2, kilogram per square kilometer; —, no estimate]

Station ID Station name Year

Watershed

atrazine-use

intensity

(kg/km2

)

06753990 Lonetree Creek near Greeley, Colorado 1992 2.362 

06753990 Lonetree Creek near Greeley, Colorado 1993 5.453 

06753990 Lonetree Creek near Greeley, Colorado 1994 1.761 

06753990 Lonetree Creek near Greeley, Colorado 1995 0.751 

06753990 Lonetree Creek near Greeley, Colorado 1996 3.580 

06753990 Lonetree Creek near Greeley, Colorado 1997 3.102 

06753990 Lonetree Creek near Greeley, Colorado 1998 1.209 

06753990 Lonetree Creek near Greeley, Colorado 1999 4.051 

06800000 Maple Creek near Nickerson, Nebraska 1992 42.886 

06800000 Maple Creek near Nickerson, Nebraska 1993 36.206 

06800000 Maple Creek near Nickerson, Nebraska 1994 45.993 

06800000 Maple Creek near Nickerson, Nebraska 1995 25.260 

06800000 Maple Creek near Nickerson, Nebraska 1996 38.981 

06800000 Maple Creek near Nickerson, Nebraska 1997 43.834 

06800000 Maple Creek near Nickerson, Nebraska 1998 45.577 

06800000 Maple Creek near Nickerson, Nebraska 1999 40.547 

06805500 Platte River at Louisville, Nebraska 1992 8.499 

06805500 Platte River at Louisville, Nebraska 1993 8.279 

06805500 Platte River at Louisville, Nebraska 1994 9.405 

06805500 Platte River at Louisville, Nebraska 1995 7.649 

06805500 Platte River at Louisville, Nebraska 1996 8.116 

06805500 Platte River at Louisville, Nebraska 1997 8.046 

06805500 Platte River at Louisville, Nebraska 1998 8.116 

06805500 Platte River at Louisville, Nebraska 1999 7.843 

06934500 Missouri River at Hermann, Missouri 1992 5.960 

06934500 Missouri River at Hermann, Missouri 1993 5.575 

06934500 Missouri River at Hermann, Missouri 1994 6.157 

06934500 Missouri River at Hermann, Missouri 1995 5.302 

06934500 Missouri River at Hermann, Missouri 1996 6.038 

06934500 Missouri River at Hermann, Missouri 1997 6.008 

06934500 Missouri River at Hermann, Missouri 1998 6.189 

06934500 Missouri River at Hermann, Missouri 1999 6.163 

07043500 Little River Ditch no. 1 near Morehouse, Missouri 1992 32.413 

07043500 Little River Ditch no. 1 near Morehouse, Missouri 1993 30.995 

07043500 Little River Ditch no. 1 near Morehouse, Missouri 1994 47.466 

07043500 Little River Ditch no. 1 near Morehouse, Missouri 1995 23.727 

07043500 Little River Ditch no. 1 near Morehouse, Missouri 1996 24.535 

07043500 Little River Ditch no. 1 near Morehouse, Missouri 1997 47.027 

07043500 Little River Ditch no. 1 near Morehouse, Missouri 1998 37.155 

07043500 Little River Ditch no. 1 near Morehouse, Missouri 1999 20.458 
122﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Appendix: Table A1. Annual atrazine-use intensity estimates for watersheds used to develop the Watershed Regressions for 

Pesticides model, 1992 through 1999.—Continued

[kg/km2, kilogram per square kilometer; —, no estimate]

Station ID Station name Year

Watershed

atrazine-use

intensity

(kg/km2

)

07053250 Yocum Creek near Oak Grove, Arkansas 1992 0.353 

07053250 Yocum Creek near Oak Grove, Arkansas 1993 0.652 

07053250 Yocum Creek near Oak Grove, Arkansas 1994 0.070 

07053250 Yocum Creek near Oak Grove, Arkansas 1995 0.055 

07053250 Yocum Creek near Oak Grove, Arkansas 1996 0.928 

07053250 Yocum Creek near Oak Grove, Arkansas 1997 0.108 

07053250 Yocum Creek near Oak Grove, Arkansas 1998 0.639 

07053250 Yocum Creek near Oak Grove, Arkansas 1999 0.638 

07263620 Arkansas River at David Terry Dam, Arkansas 1992 3.738 

07263620 Arkansas River at David Terry Dam, Arkansas 1993 2.921 

07263620 Arkansas River at David Terry Dam, Arkansas 1994 3.869 

07263620 Arkansas River at David Terry Dam, Arkansas 1995 4.096 

07263620 Arkansas River at David Terry Dam, Arkansas 1996 5.525 

07263620 Arkansas River at David Terry Dam, Arkansas 1997 5.327 

07263620 Arkansas River at David Terry Dam, Arkansas 1998 5.089 

07263620 Arkansas River at David Terry Dam, Arkansas 1999 5.544 

07288650 Bogue Phalia near Leland, Mississippi 1992 2.120 

07288650 Bogue Phalia near Leland, Mississippi 1993 2.513 

07288650 Bogue Phalia near Leland, Mississippi 1994 1.341 

07288650 Bogue Phalia near Leland, Mississippi 1995 1.337 

07288650 Bogue Phalia near Leland, Mississippi 1996 4.332 

07288650 Bogue Phalia near Leland, Mississippi 1997 2.883 

07288650 Bogue Phalia near Leland, Mississippi 1998 1.335 

07288650 Bogue Phalia near Leland, Mississippi 1999 4.121 

07288955 Yazoo River below Steele Bayou near Long Lake, Mississippi 1992 3.349 

07288955 Yazoo River below Steele Bayou near Long Lake, Mississippi 1993 4.181 

07288955 Yazoo River below Steele Bayou near Long Lake, Mississippi 1994 1.910 

07288955 Yazoo River below Steele Bayou near Long Lake, Mississippi 1995 2.632 

07288955 Yazoo River below Steele Bayou near Long Lake, Mississippi 1996 6.163 

07288955 Yazoo River below Steele Bayou near Long Lake, Mississippi 1997 4.124 

07288955 Yazoo River below Steele Bayou near Long Lake, Mississippi 1998 3.264 

07288955 Yazoo River below Steele Bayou near Long Lake, Mississippi 1999 2.886 

07373420 Mississippi River at St. Francisville, Louisiana 1992 9.258 

07373420 Mississippi River at St. Francisville, Louisiana 1993 8.016 

07373420 Mississippi River at St. Francisville, Louisiana 1994 9.353 

07373420 Mississippi River at St. Francisville, Louisiana 1995 7.925 

07373420 Mississippi River at St. Francisville, Louisiana 1996 9.140 

07373420 Mississippi River at St. Francisville, Louisiana 1997 9.250 

07373420 Mississippi River at St. Francisville, Louisiana 1998 9.217 

07373420 Mississippi River at St. Francisville, Louisiana 1999 9.147 
Tables﻿ ﻿ 123

Appendix: Table A1. Annual atrazine-use intensity estimates for watersheds used to develop the Watershed Regressions for 

Pesticides model, 1992 through 1999.—Continued

[kg/km2, kilogram per square kilometer; —, no estimate]

Station ID Station name Year

Watershed

atrazine-use

intensity

(kg/km2

)

07381495 Atchafalaya River at Melville, Louisiana 1992 2.298 

07381495 Atchafalaya River at Melville, Louisiana 1993 1.352 

07381495 Atchafalaya River at Melville, Louisiana 1994 2.125 

07381495 Atchafalaya River at Melville, Louisiana 1995 1.663 

07381495 Atchafalaya River at Melville, Louisiana 1996 2.564 

07381495 Atchafalaya River at Melville, Louisiana 1997 2.825 

07381495 Atchafalaya River at Melville, Louisiana 1998 2.927 

07381495 Atchafalaya River at Melville, Louisiana 1999 2.695 

08012150 Mermentau River at Mermentau, Louisiana 1992 7.070 

08012150 Mermentau River at Mermentau, Louisiana 1993 3.518 

08012150 Mermentau River at Mermentau, Louisiana 1994 3.252 

08012150 Mermentau River at Mermentau, Louisiana 1995 2.836 

08012150 Mermentau River at Mermentau, Louisiana 1996 3.995 

08012150 Mermentau River at Mermentau, Louisiana 1997 1.962 

08012150 Mermentau River at Mermentau, Louisiana 1998 5.943 

08012150 Mermentau River at Mermentau, Louisiana 1999 5.707 

08178800 Salado Creek (lower station) at San Antonio, Texas 1992 0.106 

08178800 Salado Creek (lower station) at San Antonio, Texas 1993 0.166 

08178800 Salado Creek (lower station) at San Antonio, Texas 1994 0.146 

08178800 Salado Creek (lower station) at San Antonio, Texas 1995 0.278 

08178800 Salado Creek (lower station) at San Antonio, Texas 1996 0.170 

08178800 Salado Creek (lower station) at San Antonio, Texas 1997 0.390 

08178800 Salado Creek (lower station) at San Antonio, Texas 1998 0.233 

08178800 Salado Creek (lower station) at San Antonio, Texas 1999 0.155 

08180640 Medina River at La Coste, Texas 1992 0.951 

08180640 Medina River at La Coste, Texas 1993 1.451 

08180640 Medina River at La Coste, Texas 1994 1.233 

08180640 Medina River at La Coste, Texas 1995 2.315 

08180640 Medina River at La Coste, Texas 1996 1.596 

08180640 Medina River at La Coste, Texas 1997 3.901 

08180640 Medina River at La Coste, Texas 1998 1.931 

08180640 Medina River at La Coste, Texas 1999 1.255 

08181800 San Antonio River near Elmendorf, Texas 1992 1.302 

08181800 San Antonio River near Elmendorf, Texas 1993 2.117 

08181800 San Antonio River near Elmendorf, Texas 1994 1.810 

08181800 San Antonio River near Elmendorf, Texas 1995 3.501 

08181800 San Antonio River near Elmendorf, Texas 1996 2.208 

08181800 San Antonio River near Elmendorf, Texas 1997 5.375 

08181800 San Antonio River near Elmendorf, Texas 1998 2.964 

08181800 San Antonio River near Elmendorf, Texas 1999 1.920 
124﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Appendix: Table A1. Annual atrazine-use intensity estimates for watersheds used to develop the Watershed Regressions for 

Pesticides model, 1992 through 1999.—Continued

[kg/km2, kilogram per square kilometer; —, no estimate]

Station ID Station name Year

Watershed

atrazine-use

intensity

(kg/km2

)

09153290 Reed Wash near Mack, Colorado 1992 5.897 

09153290 Reed Wash near Mack, Colorado 1993 37.290 

09153290 Reed Wash near Mack, Colorado 1994 26.305 

09153290 Reed Wash near Mack, Colorado 1995 0.732 

09153290 Reed Wash near Mack, Colorado 1996 1.095 

09153290 Reed Wash near Mack, Colorado 1997 2.088 

09153290 Reed Wash near Mack, Colorado 1998 0.652 

09153290 Reed Wash near Mack, Colorado 1999 1.723 

09315000 Green River at Green River, Utah 1992 0.000 

09315000 Green River at Green River, Utah 1993 0.000 

09315000 Green River at Green River, Utah 1994 0.003 

09315000 Green River at Green River, Utah 1995 0.000 

09315000 Green River at Green River, Utah 1996 0.003 

09315000 Green River at Green River, Utah 1997 0.000 

09315000 Green River at Green River, Utah 1998 0.000 

09315000 Green River at Green River, Utah 1999 0.000 

09514000 Buckeye Canal near Avondale, Arizona 1992 0.004 

09514000 Buckeye Canal near Avondale, Arizona 1993 0.009 

09514000 Buckeye Canal near Avondale, Arizona 1994 0.067 

09514000 Buckeye Canal near Avondale, Arizona 1995 0.000 

09514000 Buckeye Canal near Avondale, Arizona 1996 0.066 

09514000 Buckeye Canal near Avondale, Arizona 1997 0.087 

09514000 Buckeye Canal near Avondale, Arizona 1998 0.071 

09514000 Buckeye Canal near Avondale, Arizona 1999 0.091 

09517000 Hassayampa River near Arlington, Arizona 1992 0.004 

09517000 Hassayampa River near Arlington, Arizona 1993 0.014 

09517000 Hassayampa River near Arlington, Arizona 1994 0.111 

09517000 Hassayampa River near Arlington, Arizona 1995 0.000 

09517000 Hassayampa River near Arlington, Arizona 1996 0.119 

09517000 Hassayampa River near Arlington, Arizona 1997 0.140 

09517000 Hassayampa River near Arlington, Arizona 1998 0.111 

09517000 Hassayampa River near Arlington, Arizona 1999 0.132 

10171000 Jordan River at 1700 South Road at Salt Lake City, Utah 1992 0.096 

10171000 Jordan River at 1700 South Road at Salt Lake City, Utah 1993 0.167 

10171000 Jordan River at 1700 South Road at Salt Lake City, Utah 1994 0.062 

10171000 Jordan River at 1700 South Road at Salt Lake City, Utah 1995 0.277 

10171000 Jordan River at 1700 South Road at Salt Lake City, Utah 1996 0.006 

10171000 Jordan River at 1700 South Road at Salt Lake City, Utah 1997 0.006 

10171000 Jordan River at 1700 South Road at Salt Lake City, Utah 1998 0.121 

10171000 Jordan River at 1700 South Road at Salt Lake City, Utah 1999 0.289 
Tables﻿ ﻿ 125

Appendix: Table A1. Annual atrazine-use intensity estimates for watersheds used to develop the Watershed Regressions for 

Pesticides model, 1992 through 1999.—Continued

[kg/km2, kilogram per square kilometer; —, no estimate]

Station ID Station name Year

Watershed

atrazine-use

intensity

(kg/km2

)

11273500 Merced River at River Road Bridge near Newman, California 1994 —

11273500 Merced River at River Road Bridge near Newman, California 1995 —

11273500 Merced River at River Road Bridge near Newman, California 1996 0.000 

11273500 Merced River at River Road Bridge near Newman, California 1997 —

11273500 Merced River at River Road Bridge near Newman, California 1998 0.000 

11273500 Merced River at River Road Bridge near Newman, California 1999 0.001 

11303500 San Joaquin River near Vernalis, California 1992 0.004 

11303500 San Joaquin River near Vernalis, California 1993 0.007 

11303500 San Joaquin River near Vernalis, California 1994 0.008 

11303500 San Joaquin River near Vernalis, California 1995 0.002 

11303500 San Joaquin River near Vernalis, California 1996 0.003 

11303500 San Joaquin River near Vernalis, California 1997 0.002 

11303500 San Joaquin River near Vernalis, California 1998 0.004 

11303500 San Joaquin River near Vernalis, California 1999 0.004 

11447360 Arcade Creek near Del Paso Heights, California 1992 0.005 

11447360 Arcade Creek near Del Paso Heights, California 1993 0.004 

11447360 Arcade Creek near Del Paso Heights, California 1994 0.003 

11447360 Arcade Creek near Del Paso Heights, California 1995 0.003 

11447360 Arcade Creek near Del Paso Heights, California 1996 0.005 

11447360 Arcade Creek near Del Paso Heights, California 1997 0.005 

11447360 Arcade Creek near Del Paso Heights, California 1998 0.008 

11447360 Arcade Creek near Del Paso Heights, California 1999 0.008 

12128000 Thornton Creek near Seattle, Washington 1992 0.008 

12128000 Thornton Creek near Seattle, Washington 1993 0.003 

12128000 Thornton Creek near Seattle, Washington 1994 0.016 

12128000 Thornton Creek near Seattle, Washington 1995 0.010 

12128000 Thornton Creek near Seattle, Washington 1996 0.005 

12128000 Thornton Creek near Seattle, Washington 1997 0.023 

12128000 Thornton Creek near Seattle, Washington 1998 0.008 

12128000 Thornton Creek near Seattle, Washington 1999 0.008 

12213140 Nooksack River at Brennan, Washington 1992 2.095 

12213140 Nooksack River at Brennan, Washington 1993 0.636 

12213140 Nooksack River at Brennan, Washington 1994 3.576 

12213140 Nooksack River at Brennan, Washington 1995 0.941 

12213140 Nooksack River at Brennan, Washington 1996 0.981 

12213140 Nooksack River at Brennan, Washington 1997 2.549 

12213140 Nooksack River at Brennan, Washington 1998 1.706 

12213140 Nooksack River at Brennan, Washington 1999 2.041 

12464770 Crab Creek at Marcellus Road near Ritzville, Washington 1992 0.563 

12464770 Crab Creek at Marcellus Road near Ritzville, Washington 1993 0.029 
126﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Appendix: Table A1. Annual atrazine-use intensity estimates for watersheds used to develop the Watershed Regressions for 

Pesticides model, 1992 through 1999.—Continued

[kg/km2, kilogram per square kilometer; —, no estimate]

Station ID Station name Year

Watershed

atrazine-use

intensity

(kg/km2

)

12464770 Crab Creek at Marcellus Road near Ritzville, Washington 1994 0.015 

12464770 Crab Creek at Marcellus Road near Ritzville, Washington 1995 0.320 

12464770 Crab Creek at Marcellus Road near Ritzville, Washington 1996 0.024 

12464770 Crab Creek at Marcellus Road near Ritzville, Washington 1997 0.096 

12464770 Crab Creek at Marcellus Road near Ritzville, Washington 1998 0.032 

12464770 Crab Creek at Marcellus Road near Ritzville, Washington 1999 0.013 

12472380 Crab Creek Lateral above Royal Lake near Othello, Washington 1992 3.289 

12472380 Crab Creek Lateral above Royal Lake near Othello, Washington 1993 1.500 

12472380 Crab Creek Lateral above Royal Lake near Othello, Washington 1994 1.084 

12472380 Crab Creek Lateral above Royal Lake near Othello, Washington 1995 6.503 

12472380 Crab Creek Lateral above Royal Lake near Othello, Washington 1996 1.840 

12472380 Crab Creek Lateral above Royal Lake near Othello, Washington 1997 3.517 

12472380 Crab Creek Lateral above Royal Lake near Othello, Washington 1998 2.988 

12472380 Crab Creek Lateral above Royal Lake near Othello, Washington 1999 0.452 

12473740 El 68 D Wasteway near Othello, Washington 1992 0.644 

12473740 El 68 D Wasteway near Othello, Washington 1993 0.344 

12473740 El 68 D Wasteway near Othello, Washington 1994 0.227 

12473740 El 68 D Wasteway near Othello, Washington 1995 1.098 

12473740 El 68 D Wasteway near Othello, Washington 1996 0.264 

12473740 El 68 D Wasteway near Othello, Washington 1997 0.352 

12473740 El 68 D Wasteway near Othello, Washington 1998 0.399 

12473740 El 68 D Wasteway near Othello, Washington 1999 0.135 

13055000 Teton River near St. Anthony, Idaho 1992 0.061 

13055000 Teton River near St. Anthony, Idaho 1993 0.009 

13055000 Teton River near St. Anthony, Idaho 1994 0.024 

13055000 Teton River near St. Anthony, Idaho 1995 0.016 

13055000 Teton River near St. Anthony, Idaho 1996 0.011 

13055000 Teton River near St. Anthony, Idaho 1997 0.011 

13055000 Teton River near St. Anthony, Idaho 1998 0.079 

13055000 Teton River near St. Anthony, Idaho 1999 0.014 

13092747 Rock Creek above Highway 30/93 Crossing at Twin Falls, Idaho 1992 0.496 

13092747 Rock Creek above Highway 30/93 Crossing at Twin Falls, Idaho 1993 0.110 

13092747 Rock Creek above Highway 30/93 Crossing at Twin Falls, Idaho 1994 0.070 

13092747 Rock Creek above Highway 30/93 Crossing at Twin Falls, Idaho 1995 0.442 

13092747 Rock Creek above Highway 30/93 Crossing at Twin Falls, Idaho 1996 0.061 

13092747 Rock Creek above Highway 30/93 Crossing at Twin Falls, Idaho 1997 0.012 

13092747 Rock Creek above Highway 30/93 Crossing at Twin Falls, Idaho 1998 0.287 

13092747 Rock Creek above Highway 30/93 Crossing at Twin Falls, Idaho 1999 0.056 

13351000 Palouse River at Hooper, Washington 1992 0.019 

13351000 Palouse River at Hooper, Washington 1993 0.042 
Tables﻿ ﻿ 127

Appendix: Table A1. Annual atrazine-use intensity estimates for watersheds used to develop the Watershed Regressions for 

Pesticides model, 1992 through 1999.—Continued

[kg/km2, kilogram per square kilometer; —, no estimate]

Station ID Station name Year

Watershed

atrazine-use

intensity

(kg/km2

)

13351000 Palouse River at Hooper, Washington 1994 0.163 

13351000 Palouse River at Hooper, Washington 1995 0.493 

13351000 Palouse River at Hooper, Washington 1996 0.005 

13351000 Palouse River at Hooper, Washington 1997 0.143 

13351000 Palouse River at Hooper, Washington 1998 0.030 

13351000 Palouse River at Hooper, Washington 1999 0.004 

13353200 Snake River at Burbank, Washington 1992 0.086 

13353200 Snake River at Burbank, Washington 1993 0.029 

13353200 Snake River at Burbank, Washington 1994 0.044 

13353200 Snake River at Burbank, Washington 1995 0.091 

13353200 Snake River at Burbank, Washington 1996 0.019 

13353200 Snake River at Burbank, Washington 1997 0.030 

13353200 Snake River at Burbank, Washington 1998 0.117 

13353200 Snake River at Burbank, Washington 1999 0.043 

094196783 Las Vegas Wash below Flamingo Wash Conf. near Las Vegas, Nevada 1992 0.000 

094196783 Las Vegas Wash below Flamingo Wash Conf. near Las Vegas, Nevada 1993 0.000 

094196783 Las Vegas Wash below Flamingo Wash Conf. near Las Vegas, Nevada 1994 0.000 

094196783 Las Vegas Wash below Flamingo Wash Conf. near Las Vegas, Nevada 1996 0.001 

094196783 Las Vegas Wash below Flamingo Wash Conf. near Las Vegas, Nevada 1997 0.000 

094196783 Las Vegas Wash below Flamingo Wash Conf. near Las Vegas, Nevada 1998 0.000 

094196783 Las Vegas Wash below Flamingo Wash Conf. near Las Vegas, Nevada 1999 0.000 

0242354750 Cahaba Valley Creek at Cross Creek Road at Pelham, Alabama 1992 0.175 

0242354750 Cahaba Valley Creek at Cross Creek Road at Pelham, Alabama 1993 0.315 

0242354750 Cahaba Valley Creek at Cross Creek Road at Pelham, Alabama 1994 0.072 

0242354750 Cahaba Valley Creek at Cross Creek Road at Pelham, Alabama 1995 0.352 

0242354750 Cahaba Valley Creek at Cross Creek Road at Pelham, Alabama 1996 0.908 

0242354750 Cahaba Valley Creek at Cross Creek Road at Pelham, Alabama 1997 0.052 

0242354750 Cahaba Valley Creek at Cross Creek Road at Pelham, Alabama 1998 0.763 

0242354750 Cahaba Valley Creek at Cross Creek Road at Pelham, Alabama 1999 0.216 

0357479650 Hester Creek at Buddy Williamsom Road near Plevena, Alabama 1992 17.103 

0357479650 Hester Creek at Buddy Williamsom Road near Plevena, Alabama 1993 21.987 

0357479650 Hester Creek at Buddy Williamsom Road near Plevena, Alabama 1994 47.448 

0357479650 Hester Creek at Buddy Williamsom Road near Plevena, Alabama 1995 12.789 

0357479650 Hester Creek at Buddy Williamsom Road near Plevena, Alabama 1996 15.124 

0357479650 Hester Creek at Buddy Williamsom Road near Plevena, Alabama 1997 8.414 

0357479650 Hester Creek at Buddy Williamsom Road near Plevena, Alabama 1998 15.146 

0357479650 Hester Creek at Buddy Williamsom Road near Plevena, Alabama 1999 11.915 

252414080333200 C-111 Canalfeet above S-177 near Homestead, Florida 1992 1.028 

252414080333200 C-111 Canalfeet above S-177 near Homestead, Florida 1993 2.422 

252414080333200 C-111 Canalfeet above S-177 near Homestead, Florida 1994 3.948 
128﻿ ﻿ Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007

Appendix: Table A1. Annual atrazine-use intensity estimates for watersheds used to develop the Watershed Regressions for 

Pesticides model, 1992 through 1999.—Continued

[kg/km2, kilogram per square kilometer; —, no estimate]

Station ID Station name Year

Watershed

atrazine-use

intensity

(kg/km2

)

252414080333200 C-111 Canalfeet above S-177 near Homestead, Florida 1995 6.031 

252414080333200 C-111 Canalfeet above S-177 near Homestead, Florida 1996 2.906 

252414080333200 C-111 Canalfeet above S-177 near Homestead, Florida 1997 4.005 

252414080333200 C-111 Canalfeet above S-177 near Homestead, Florida 1998 7.581 

252414080333200 C-111 Canalfeet above S-177 near Homestead, Florida 1999 6.994 

294349094345999 East Fork Double Bayou at Sykes Road near Anahuac, Texas 1992 1.031 

294349094345999 East Fork Double Bayou at Sykes Road near Anahuac, Texas 1993 1.078 

294349094345999 East Fork Double Bayou at Sykes Road near Anahuac, Texas 1994 1.024 

294349094345999 East Fork Double Bayou at Sykes Road near Anahuac, Texas 1995 8.067 

294349094345999 East Fork Double Bayou at Sykes Road near Anahuac, Texas 1996 9.972 

294349094345999 East Fork Double Bayou at Sykes Road near Anahuac, Texas 1997 4.025 

294349094345999 East Fork Double Bayou at Sykes Road near Anahuac, Texas 1998 8.114 

294349094345999 East Fork Double Bayou at Sykes Road near Anahuac, Texas 1999 3.368 

295001094384699 Whites Bayou at Highway 61 near Anahuac, Texas 1992 0.360 

295001094384699 Whites Bayou at Highway 61 near Anahuac, Texas 1993 0.468 

295001094384699 Whites Bayou at Highway 61 near Anahuac, Texas 1994 0.452 

295001094384699 Whites Bayou at Highway 61 near Anahuac, Texas 1995 2.799 

295001094384699 Whites Bayou at Highway 61 near Anahuac, Texas 1996 2.949 

295001094384699 Whites Bayou at Highway 61 near Anahuac, Texas 1997 1.380 

295001094384699 Whites Bayou at Highway 61 near Anahuac, Texas 1998 2.300 

295001094384699 Whites Bayou at Highway 61 near Anahuac, Texas 1999 0.986 

295740094542399 West Prong Old River at Highway 146 near Dayton, Texas 1992 0.761 

295740094542399 West Prong Old River at Highway 146 near Dayton, Texas 1993 0.773 

295740094542399 West Prong Old River at Highway 146 near Dayton, Texas 1994 1.040 

295740094542399 West Prong Old River at Highway 146 near Dayton, Texas 1995 3.204 

295740094542399 West Prong Old River at Highway 146 near Dayton, Texas 1996 22.299 

295740094542399 West Prong Old River at Highway 146 near Dayton, Texas 1997 2.043 

295740094542399 West Prong Old River at Highway 146 near Dayton, Texas 1998 17.622 

295740094542399 West Prong Old River at Highway 146 near Dayton, Texas 1999 10.860 

385234087071801 White River at Highway 58 near Elnora, Indiana 1992 31.410 

385234087071801 White River at Highway 58 near Elnora, Indiana 1993 28.830 

385234087071801 White River at Highway 58 near Elnora, Indiana 1994 35.473 

385234087071801 White River at Highway 58 near Elnora, Indiana 1995 26.678 

385234087071801 White River at Highway 58 near Elnora, Indiana 1996 22.653 

385234087071801 White River at Highway 58 near Elnora, Indiana 1997 28.669 
Tables﻿ ﻿ 129

Appendix: Table A1. Annual atrazine-use intensity estimates for watersheds used to develop the Watershed Regressions for 

Pesticides model, 1992 through 1999.—Continued

[kg/km2, kilogram per square kilometer; —, no estimate]

Station ID Station name Year

Watershed

atrazine-use

intensity

(kg/km2

)

385234087071801 White River at Highway 58 near Elnora, Indiana 1998 31.344 

385234087071801 White River at Highway 58 near Elnora, Indiana 1999 31.490 

393944084120700 Holes Creek in Huffman Park at Kettering, Ohio 1992 8.443 

393944084120700 Holes Creek in Huffman Park at Kettering, Ohio 1993 8.031 

393944084120700 Holes Creek in Huffman Park at Kettering, Ohio 1994 12.293 

393944084120700 Holes Creek in Huffman Park at Kettering, Ohio 1995 8.200 

393944084120700 Holes Creek in Huffman Park at Kettering, Ohio 1996 9.263 

393944084120700 Holes Creek in Huffman Park at Kettering, Ohio 1997 12.339 

393944084120700 Holes Creek in Huffman Park at Kettering, Ohio 1998 5.671 

393944084120700 Holes Creek in Huffman Park at Kettering, Ohio 1999 8.445 

394340085524601 Sugar Creek at County Road 400 South at New Palestine, Indiana 1992 44.117 

394340085524601 Sugar Creek at County Road 400 South at New Palestine, Indiana 1993 47.388 

394340085524601 Sugar Creek at County Road 400 South at New Palestine, Indiana 1994 51.338 

394340085524601 Sugar Creek at County Road 400 South at New Palestine, Indiana 1995 43.447 

394340085524601 Sugar Creek at County Road 400 South at New Palestine, Indiana 1996 37.175 

394340085524601 Sugar Creek at County Road 400 South at New Palestine, Indiana 1997 49.991 

394340085524601 Sugar Creek at County Road 400 South at New Palestine, Indiana 1998 56.014 

394340085524601 Sugar Creek at County Road 400 South at New Palestine, Indiana 1999 56.233 
Thelin and Stone—Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992–2007— SIR 2010–5034

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