2022 Census of Agriculture State-Level Boundaries, (stUSAKHI_LAEA_2022.shp -.shx, -.dbf, -.sbn, -.sbx, -.prj)

Frequently anticipated questions:


What does this data set describe?

Title:

2022 Census of Agriculture State-Level Boundaries, (stUSAKHI_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 state, county, and U.S. levels and are available in a digital format. The Research and Development Division of NASS modified generalized state boundaries to show geographic areas for which the 2022 Agricultural Census statistics are reported at the state level. These NASS state-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 state codes to associate the state-level spatial entities with the NASS state-level statistical data.

Supplemental_Information:

These NASS Agricultural Census state-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 State-Level Boundaries, (stUSAKHI_LAEA_2022.shp -.shx, -.dbf, -.sbn, -.sbx, -.prj): U.S. Department of Agriculture, National Agricultural Statistics Service, Washington, DC.

Online Links:

  1. 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
  2. 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 state-level boundaries and land areas in a single shapefile. 2024-2023: Production of NASS state-level boundaries and land areas.

  1. What is the general form of this data set?
    Geospatial_Data_Presentation_Form: vector digital data
  2. 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 States, and Equivalent Areas within the United States, Puerto Rico, and the Insular Areas (INCITS 38–2009[R2014]): Washington, D.C., American National Standards Institute. https://webstore.ansi.org/RecordDetail.aspx?sku=INCITS+38-2009%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 (50)

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

  1. How does the data set describe geographic features?

stUSAKHI_LAEA22

NASS State-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_ST

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

Formal codeset

Codeset Name:

American National Standards Institute, 2009, Information Technology Codes for the Identification of the States, and Equivalent Areas within the United States, Puerto Rico, and the Insular Areas (INCITS 38–2009[R2014]): Washington, D.C., American National Standards Institute.

Codeset Source:

American National Standards Institute

ST_ABBREV

NASS State equivalent abbreviation. (Source: USDA, National Agricultural Statistics Service)

Formal codeset

Codeset Name:

American National Standards Institute, 2009, Information Technology Codes for the Identification of the States, and Equivalent Areas within the United States, Puerto Rico, and the Insular Areas (INCITS 38–2009[R2014]): Washington, D.C., American National Standards Institute.

Codeset Source:

American National Standards Institute.

ATLAS_NAME

Lowercase NASS state equivalent name. (Source: USDA, National Agricultural Statistics Service)

Formal codeset

Codeset Name:

American National Standards Institute, 2009, Information Technology Codes for the Identification of the States, and Equivalent Areas within the United States, Puerto Rico, and the Insular Areas (INCITS 38–2009[R2014]): Washington, D.C., American National Standards Institute.

Codeset Source:

American National Standards Institute

ATLAS_CAPS

Uppercase NASS state equivalent name. (Source: USDA, National Agricultural Statistics Service)

Formal codeset

Codeset Name:

American National Standards Institute, 2009, Information Technology Codes for the Identification of the States, and Equivalent Areas within the United States, Puerto Rico, and the Insular Areas (INCITS 38–2009[R2014]): Washington, D.C., American National Standards Institute.

Codeset Source:

American National Standards Institute

ATLAS_AREA

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

Range of values

Minimum:

1033.89 (actual value, not min. range value)

Maximum:

571023.318 (actual value, not max. range value)

Units:

Square mile

ATLAS_ACRE

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

Range of values

Minimum:

661689.6 (actual value, not min. range value)

Maximum:

365454932.52 (actual value, not max. range value)

Units:

Acre

ENTITY

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

Value

Definition

State, State Equivalent

Type of state-level entity.

CENSUS_YR

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

Value

Definition

2022

Census of Agriculture year.


Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
  2. Who also contributed to the data set?

Research and Development Division staff

  1. 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


Why was the data set created?

The boundaries are intended for geographic display and analysis at the state 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 state-level boundaries are provided "as is". The USDA/NASS does not warrant the results you may obtain using the Agricultural Census state-level boundary data.


How was the data set created?

  1. From what previous works were the data drawn?

BOCUSST22 (source 1 of 7)

U.S. Bureau of the Census, Geography Division, 2022, usda_2022_us_state_20m feature class (Generalized digital vector state 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

SQMIUSST22 (source 2 of 7)

USDA, National Agricultural Statistics Service, 2023, NASS 2022 Agricultural Census state-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

ACREUSST22 (source 3 of 7)

USDA, National Agricultural Statistics Service, 2023, NASS 2022 Agricultural Census state-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: spatial and 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

USSTCLIP_WMS22 (source 5 of 7)

USDA, National Agricultural Statistics Service, 2023, NASS 2022 Agricultural Census state-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

STUSAKHI_AEA22 (source 6 of 7)

USDA, National Agricultural Statistics Service, 2023, NASS 2022 Agricultural Census state-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

StUSAKHI_LAEA22 (source 7 of 7)

USDA, National Agricultural Statistics Service, 2024, Final reprojected NASS 2022 Agricultural Census state-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

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

Date: 2023 (process 1 of 6)

1 - Creation of NASS Agricultural Census state-level boundary file. Use state boundary and attribute source files provided by the Bureau of the Census. State boundaries were aggregated (dissolved) on the NASS Agricultural Census state (ANSI) codes. State land area values were summed to produce state land area values in square miles (District of Columbia aggregated with Maryland). Data sources used in this process:

Data sources produced in this process:

Date: 2023 (process 2 of 6)

2 - Update of state-level boundary file. The 2022 Agricultural Census state boundary files were updated with 2022 attribute values. The state acreage fields were populated by multiplying the state land area in square miles by 640 (1 square mile = 640 acres). Data sources used in this process:

Data sources produced in this process:

Date: 2013 (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:

Data sources produced in this process:

Date: 2023 (process 4 of 6)

4 - Clip 2022 Agricultural Census state-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 state-level boundary file. Clipping the 2022 state-level boundary file by the 2012 coastline adds more detail (e.g., coastal inlets) to the 2022 state-level boundary file. Data sources used in this process:

Data sources produced in this process:

Date: 2023 (process 5 of 6)

5 - Extract and project clipped NASS Agricultural Census state-level boundary files. Extracted NASS 2022 clipped Agricultural Census state-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:

Data sources produced in this process:

Date: 2023 (process 6 of 6)

6 - Project NASS Agricultural Census state-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:

Data sources produced in this process:


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 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 state-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 number of acres for each state equivalent. The land area values are based on the area of land polygons from the U.S. Census Bureau's TIGER database. If a state is composed of several polygons, the area value assigned to each polygon is the land area value of the entire state (for the purpose of choropleth mapping). The state-level boundary for Maryland was modified to include the District of Columbia (D.C.), because Agricultural Census data for D.C. are not reported separately. State-level American National Standards Institute (ANSI) codes are used to identify states. Because Maryland and D.C. state boundaries were aggregated, Maryland's ANSI code 24 represents both Maryland (24) and D.C. (11).
  4. How consistent are the relationships among the observations, including topology?
    No topological checks were performed on the data.

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

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

Users of the Agricultural Census state-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.

  1. How can I download or order the data?

Data format:

ESRI Shapefile (.shp, .shx., .dbf, .sbn, .sbx, .prj) Size: .480

Network links:

https://www.nass.usda.gov/Publications/AgCensus/2022/
Online_Resources/Ag_Atlas_Maps/mapfiles/StUSAKHI_LAEA_20122.zip


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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