2022 Census of Agriculture County-Level Boundaries, (coUSAKHI_LAEA_2022.shp -.shx, -.dbf, -.sbn, -.sbx, -.prj)

Frequently anticipated questions:

• What does this data set describe?
1. How might this data set be cited?
2. What geographic area does the data set cover?
3. Does the data set describe conditions during a particular time period?
4. What is the general form of this data set?
5. How does the data set represent geographic features?
6. How does the data set describe geographic features?
• Who produced the data set?
1. Who are the originators of the data set?
2. Who also contributed to the data set?
3. To whom should users address questions about the data?
• Why was the data set created?
• How was the data set created?
1. From what previous works were the data drawn?
2. How were the data generated, processed, and modified?
• How reliable are the data; what problems remain in the data set?
1. How well have the observations been checked?
2. How accurate are the geographic locations?
3. Where are the gaps in the data? What is missing?
4. How consistent are the relationships among the data, including topology?
• How can someone get a copy of the data set?
1. Are there legal restrictions on access or use of the data?
2. Who distributes the data?
3. What's the catalog number I need to order this data set?
4. What legal disclaimers am I supposed to read?
5. How can I download or order the data?
• Who wrote the metadata?

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What does this data set describe?

Title:

2022 Census of Agriculture County-Level Boundaries, (coUSAKHI_LAEA_2022.shp -.shx, -.dbf, -.sbn, -.sbx, -.prj)

Abstract:

The United States Department of Agriculture (USDA), National Agricultural Statistics Service (NASS) conducted an Agricultural Census in 2022. The statistical census data are summarized at the county, state, and U.S. levels and are available in a digital format. The Research and Development Division of NASS modified generalized county boundaries to show geographic areas for which the 2022 Agricultural Census statistics are reported at the county level. These NASS county-level boundary files were used in the production of the 2022 United States Census of Agriculture, Agricultural Census Web Maps. The boundary files can be employed in a desktop or online Geographic Information System (GIS) with the 2022 Agricultural Census statistical data by using the NASS Agricultural Census county codes to associate the NASS county-level spatial entities with the NASS county-level statistical data.

Supplemental_Information:

These NASS Agricultural Census county-level boundary files may be used with statistical data in the 2022 Census of Agriculture, Volume 1, Geographic Area Series, Parts 1 - 50.

1. How might this data set be cited?

United States Department of Agriculture (USDA), National Agricultural Statistics Service (NASS) Research and Development Division (RDD), Spatial Analysis Research Section (SARS), 2024, 2022 Census of Agriculture County-Level Boundaries, (coUSAKHI_LAEA_2022.shp -.shx, -.dbf, -.sbn, -.sbx, -.prj): U.S. Department of Agriculture, National Agricultural Statistics Service, Washington, DC.

Online Links:

• https://www.nass.usda.gov/Publications/AgCensus/2022/Online_Resources/Ag_Atlas_Maps/mapfiles/CoUSAKHI_LAEA_2022.zip

2. What geographic area does the data set cover?
   West_Bounding_Coordinate: -5,794,392.8564
   East_Bounding_Coordinate: 2,516,293.0001
   North_Bounding_Coordinate: 3,909,566.776
   South_Bounding_Coordinate: -2,114,924.9612
3. Does the data set describe conditions during a particular time period?

Beginning_Date: 2022

Ending_Date: 2024
Currentness_Reference:

2024: Publication of US, AK, HI county-level boundaries and land areas in a single shapefile. 2024-2023: Production of NASS county-level boundaries and land areas.

4. What is the general form of this data set?
   Geospatial_Data_Presentation_Form: vector digital data
5. How does the data set represent geographic features?

a. How are geographic features stored in the data set?
Indirect_Spatial_Reference:

American National Standards Institute, 2009, Information Technology Codes for the Identification of the Counties, and Equivalent Areas within the United States, Puerto Rico, and the Insular Areas (INCITS 31–2009[R2014]): Washington, D.C., American National Standards Institute. https://webstore.ansi.org/RecordDetail.aspx?sku=INCITS+31-2009%5bR2014%5d https://www.census.gov/geo/reference/ansi.html

This is a Vector data set. It contains the following vector data types (SDTS terminology):

§ G-Polygon (3079)

b. What coordinate system is used to represent geographic features?
The map projection used is Lambert Azimuthal Equal Area.

Projection parameters:

Longitude_of_Projection_Center: -100.0
Latitude_of_Projection_Center: 45.0
False_Easting: 0.0
False_Northing: 0.0

Planar coordinates are encoded using coordinate pair
Abscissae (x-coordinates) are specified to the nearest 0.001
Ordinates (y-coordinates) are specified to the nearest 0.001
Planar coordinates are specified in meters

6. How does the data set describe geographic features?

coUSAKHI_LAEA22

NASS County-level boundaries of geographic areas for which 2022 Agricultural Census statistics are reported. (Source: USDA, National Agricultural Statistics Service.)

FID

Internal feature identification number. (Source: ESRI) Sequential unique whole numbers automatically generated.

SHAPE

Feature geometry. (Source: ESRI) Coordinates defining the features.

ATLAS_STCO

Full NASS Agricultural Census state-county equivalent code. (Source: USDA, National Agricultural Statistics Service)

Formal codeset
Codeset Name:	American National Standards Institute, 2009, Information Technology Codes for the Identification of the Counties, and Equivalent Areas within the United States, Puerto Rico, and the Insular Areas (INCITS 31-2009[R2014]): Washington, D.C., American National Standards Institute.
Codeset Source:	American National Standards Institute

ATLAS_NAME

Lowercase NASS county equivalent (or agriculture area) name. (Source: USDA, National Agricultural Statistics Service)

Formal codeset
Codeset Name:	American National Standards Institute, 2009, Information Technology Codes for the Identification of the Counties, and Equivalent Areas within the United States, Puerto Rico, and the Insular Areas (INCITS 31-2009[R2014]): Washington, D.C., American National Standards Institute.
Codeset Source:	American National Standards Institute

ATLAS_CAPS

Uppercase NASS county equivalent (or agriculture area) name. (Source: USDA, National Agricultural Statistics Service)

Formal codeset
Codeset Name:	American National Standards Institute, 2009, Information Technology Codes for the Identification of the Counties, and Equivalent Areas within the United States, Puerto Rico, and the Insular Areas (INCITS 31-2009[R2014]): Washington, D.C., American National Standards Institute.
Codeset Source:	American National Standards Institute

ATLAS_AREA

Land area in square miles of a NASS county equivalent (or agriculture area). (Source: USDA, National Agricultural Statistics Service)

Range of values
Minimum:	22.658 (actual value, not min. range value)
Maximum:	265876.125 (actual value, not max. range value)
Units:	Square mile

ATLAS_ACRE

Land area in acres of a NASS county equivalent (or agriculture area). (Source: USDA, National Agricultural Statistics Service)

Range of values
Minimum:	14501.12 (actual value, not min. range value)
Maximum:	170160720.0 (actual value, not max. range value)
Units:	Acre

ENTITY

Type of NASS county-level entity. (Source: USDA, National Agricultural Statistics Service)

Value	Definition
County, Parish, Agricultural Census Area	Type of county-level entity.

CNTYA

NASS Agricultural Census county equivalent character codes (Source: USDA, National Agricultural Statistics Service)

Formal codeset
Codeset Name:	American National Standards Institute, 2009, Information Technology Codes for the Identification of the Counties, and Equivalent Areas within the United States, Puerto Rico, and the Insular Areas (INCITS 31-2009[R2014]): Washington, D.C., American National Standards Institute.
Codeset Source:	American National Standards Institute

CNTYN

NASS Agricultural Census county equivalent numeric codes (Source: USDA, National Agricultural Statistics Service)

Formal codeset
Codeset Name:	American National Standards Institute, 2009, Information Technology Codes for the Identification of the Counties, and Equivalent Areas within the United States, Puerto Rico, and the Insular Areas (INCITS 31-2009[R2014]): Washington, D.C., American National Standards Institute.
Codeset Source:	American National Standards Institute

CENSUS_YR

Census of Agriculture Year for county-level boundaries. (Source: USDA, National Agricultural Statistics Service)

Value	Definition
2022	Census of Agriculture year.

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Who produced the data set?

1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
• United States Department of Agriculture (USDA), National Agricultural Statistics Service (NASS) Research and Development Division (RDD), Spatial Analysis Research Section (SARS)
2. Who also contributed to the data set?

Research and Development Division staff

3. To whom should users address questions about the data?

USDA NASS, Spatial Analysis Research Section Staff

USDA NASS, Spatial Analysis Research Section

1400 Independence Avenue, SW, Room 5029 South Building

Washington, District of Columbia

800-727-9540 (voice)

855-493-0447 (FAX)

SM.NASS.RDD.GIB@usda.gov

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Why was the data set created?

The boundaries are intended for geographic display and analysis at the county- level. The boundary data are designed for small scale thematic mapping applications at a scale of 1:20,000,000 or smaller (e.g., 1:50,000,000, etc.). The county-level boundaries are provided "as is". The USDA/NASS does not warrant the results you may obtain using the Agricultural Census county-level boundary data.

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How was the data set created?

1. From what previous works were the data drawn?

BOCUSCO22 (source 1 of 7)

U.S. Bureau of the Census, Geography Division, 2022, usda_2022_us_county_ct_old_20m feature class (Generalized digital vector county polygon files): U.S. Bureau of the Census, Geography Division, Suitland, MD.

Type_of_Source_Media: online
Source_Scale_Denominator: 20000000
Source_Contribution: spatial and attribute information

SQMIUSCO22 (source 2 of 7)

USDA, National Agricultural Statistics Service, 2023, NASS 2022 Agricultural Census county-level boundary file created with land area in square miles.: USDA, National Agricultural Statistics Service, Washington, DC.

Type_of_Source_Media: online
Source_Scale_Denominator: 20000000
Source_Contribution: spatial and attribute information

ACREUSCO22 (source 3 of 7)

USDA, National Agricultural Statistics Service, 2023, NASS 2022 Agricultural Census county-level boundary file attributed and land acreage calculated: USDA, National Agricultural Statistics Service, Washington, DC.

Type_of_Source_Media: online
Source_Scale_Denominator: 20000000
Source_Contribution: attribute information

USCOAST_WMS12 (source 4 of 7)

USDA, National Agricultural Statistics Service, 2013, 2012 Agricultural Census US coastline boundary file: USDA, National Agricultural Statistics Service, Washington, DC.

Type_of_Source_Media: online
Source_Scale_Denominator: 20000000
Source_Contribution: spatial information

USCOCLIP_WMS22 (source 5 of 7)

USDA, National Agricultural Statistics Service, 2023, NASS 2022 Agricultural Census county-level boundary file clipped to 2012 coastline: USDA, National Agricultural Statistics Service, Washington, DC.

Type_of_Source_Media: online
Source_Scale_Denominator: 20000000
Source_Contribution: spatial and attribute information

COUSAKHI_AEA22 (source 6 of 7)

USDA, National Agricultural Statistics Service, 2023, NASS 2022 Agricultural Census county-level boundary files extracted and projected for US, AK, HI: USDA, National Agricultural Statistics Service, Washington, DC.

Type_of_Source_Media: online
Source_Scale_Denominator: 20000000
Source_Contribution: spatial and attribute information

CoUSAKHI_LAEA22 (source 7 of 7)

USDA, National Agricultural Statistics Service, 2024, Final reprojected NASS 2022 Agricultural Census county-level boundary files for US, AK, HI: USDA, National Agricultural Statistics Service, Washington, DC.

Type_of_Source_Media: online
Source_Scale_Denominator: 20000000
Source_Contribution: spatial and attribute information

2. How were the data generated, processed, and modified?

Date: 2022 (process 1 of 6)

1 - Creation of NASS Agricultural Census counties and summation of land area. Use county boundary and attribute source files provided by the Bureau of the Census. The county-level boundaries show geographic areas for which 2022 Agricultural Census statistics are reported. Certain individual counties were assigned the ANSI code of a designated adjacent or surrounding county. County boundaries were dissolved on the NASS Agricultural Census county (ANSI) codes and county land area values (in square miles) were summed - this modified only the land area values for aggregated (dissolved) counties in AK, HI, MD, MO, VA. The following is a list of counties with modified boundaries. The Agricultural Census county codes and associated (=) U.S. county ANSI codes are identified below. 02010 = 02013, 02016, 02050, 02060, 02070, 02150, 02158, 02164, 02180, 02185, 02188. 02020 = 02020, 02170, 02261. 02090 = 02090, 02068, 02240, 02290. 02110 = 02100, 02105, 02110, 02130, 02195, 02198, 02201, 02220, 02230 02275, 02282. 15009 = 15009, 15005. 24033 = 24033, 11001. 24005 = 24005, 24510. 29189 = 29189, 29510. 51003 = 51003, 51540. 51005 = 51005, 51580. 51015 = 51015, 51790, 51820. 51031 = 51031, 51680. 51041 = 51041, 51570. 51059 = 51059, 51510, 51600, 51610. 51069 = 51069, 51840. 51077 = 51077, 51640. 51081 = 51081, 51595. 51087 = 51087, 51760. 51089 = 51089, 51690. 51095 = 51095, 51830. 51121 = 51121, 51750. 51143 = 51143, 51590. 51149 = 51149, 51670, 51730. 51153 = 51153, 51683, 51685. 51161 = 51161, 51770, 51775. 51163 = 51163, 51530, 51678. 51165 = 51165, 51660. 51175 = 51175, 51620. 51177 = 51177, 51630. 51191 = 51191, 51520. 51195 = 51195, 51720. 51199 = 51199, 51650, 51700, 51735. 51550 = 51550, 51740. 51810 = 51810, 51710. Data sources used in this process:

• BOCUSCO22

Data sources produced in this process:

• SQMIUSCO22

Date: 2022 (process 2 of 6)

2 - Modification and update of Agricultural Census county-level boundary file. The 2022 Agricultural Census county boundary files were updated with 2022 attribute values. The Agricultural Census county-level boundary files were modified to contain a field for county land area in acres. The county acreage fields were populated by multiplying the county land area in square miles by 640 (1 sq. mi. = 640 ac.). Data sources used in this process:

• SQMIUSCO22

Data sources produced in this process:

• ACREUSCO22

Date: 2023 (process 3 of 6)

3 - Create coastline of the 2012 1:20,000,000 scale Agricultural Census boundary file. Dissolve the 2012 1:20,000,000 scale Agricultural Census state-level boundary file to create a coastline boundary file (more detailed than 2022 1:20,000,000 scale coastline). Data sources used in this process:

• USSTATES_WMS2

Data sources produced in this process:

• USCOAST_WMS12

Date: 2018 (process 4 of 6)

4 - Clip 2022 Agricultural Census county-level boundary file. Projected 2012 1:20,000,000 US coastline boundary file and used it to clip the 2022 1:20,000,000 scale NASS Agricultural Census county-level boundary file. Clipping the 2022 county-level boundary file by the 2012 coastline adds more detail (e.g., coastal inlets) to the 2022 county-level boundary file. Data sources used in this process:

• ACREUSCO22
• USCOAST_WMS12

Data sources produced in this process:

• USCOCLIP_WMS22

Date: 2023 (process 5 of 6)

5 - Extract and project clipped NASS Agricultural Census county-level boundary files. Extracted NASS 2022 Agricultural Census county-level boundary files to create separate shapefiles for the continental US, AK, and HI. Reprojected shapefiles to custom Albers Equal Area projections. Data sources used in this process:

• USCOCLIP_WMS22

Data sources produced in this process:

• COUSAKHI_AEA22

Date: 2023 (process 6 of 6)

6 - Project NASS Agricultural Census county-level boundary file to Lambert Azimuthal Equal Area. Merged separate shapefiles for the continental US, AK, and HI to a single shapefile and reprojected the shapefile to Lambert Azimuthal Equal Area; added Census year attribute. Data sources used in this process:

• CoUSAKHI_AEA22

Data sources produced in this process:

• CoUSAKHI_LAEA22

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How reliable are the data; what problems remain in the data set?

1. How well have the observations been checked?
   Unmodified entities have entity codes and names which conform to the American National Standards Institute's INCITS 31–2009[R2014], formerly Federal Information Processing Standard (FIPS) 6-4, and INCITS 38–2009[R2014], formerly Federal Information Processing Standard (FIPS) 5-2. Area values in square miles are derived from land polygon area values from the U.S. Census Bureau's TIGER database.
2. How accurate are the geographic locations?
   The county-level boundary data are highly generalized and suitable for use in small scale (1:20,000,000) thematic mapping applications. No accuracy tests were performed.
3. Where are the gaps in the data? What is missing?
   The generalized data do NOT include 1) boundaries for the Aleutian Islands in the Eastern Hemisphere, 2) boundaries for Hawaiian Islands west of -160.555771 degrees longitude, 3) very small polygons because of coordinate thinning, and 4) water polygons. This data set provides the land area in square miles and in acres for each county equivalent (or agricultural census area in Alaska). The land area values are based on the area of land polygons from the U.S. Census Bureau's TIGER database. If a county is composed of several polygons, the area value assigned to each polygon is the land area value of the entire county (for the purpose of choropleth mapping). Some of the county-level boundaries were modified to show geographic areas for which Agricultural Census statistics are reported. County Federal Information Processing (FIPS) codes for the modified counties were replaced by Agricultural Census county codes. States with modifications to their county boundaries and county codes are - Alaska, Hawaii, Maryland, Missouri, Virginia (and the District of Columbia).
4. How consistent are the relationships among the observations, including topology?
   No topological checks were performed on the data.

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How can someone get a copy of the data set?

Are there legal restrictions on access or use of the data?

Access_Constraints: None
Use_Constraints:

None. Acknowledgment of the U.S. Department of Agriculture, National Agricultural Statistics Service would be appreciated in products derived from these data files.

1. Who distributes the data set? (Distributor 1 of 1)

USDA, NASS Customer service

1400 Independence Avenue, SW, Room 5038-S

Washington, District of Columbia

USA

1-800-727-9540 (voice)

855-493-0447 (FAX)

SM.NASS.RDD.GIB@usda.gov

2. What's the catalog number I need to order this data set? United States: 2022 Census of Agriculture downloadable county-level boundary files.
3. What legal disclaimers am I supposed to read?

Users of the Agricultural Census county-level boundary data are solely responsible for interpretations made from the product. The boundary data are provided "as is". USDA/NASS does not warrant results you may obtain by using the boundary data. Feel free to contact our staff at (SM.NASS.RDD.GIB@usda.gov) if technical questions arise in the use of the state-level boundary data.

4. How can I download or order the data?
• Availability in digital form:

Data format:	ESRI Shapefile (.shp, .shx., .dbf, .sbn, .sbx, .prj) Size: .967
Network links:	https://www.nass.usda.gov/Publications/AgCensus/2022/ Online_Resources/Ag_Atlas_Maps/mapfiles/CoUSAKHI_LAEA_2022.zip

• Cost to order the data: There is no charge for online option.

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Who wrote the metadata?

Dates:

Last modified: 21-Aug-2024

Metadata author:

USDA NASS, Spatial Analysis Research Section

1400 Independence Avenue, SW, Room 5029 South Building

Washington, DC

USA

800-727-9540 (voice)

7855-493-0447 (FAX)

SM.NASS.RDD.GIB@usda.gov

Metadata standard:

FGDC Content Standards for Digital Geospatial Metadata (FGDC-STD-001-1998)

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