County-Level U.S. Agricultural Census and Geographic Data from 1972-1998
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Description
27 years of annual crop acreage, production, and yield estimates for 3,111 counties and independent cities in the contiguous United States. The National Agricultural Statistics Service compiled this data, which also includes livestock, geography, management practices, and soil properties from the early 1990s. The dataset was last updated in 1998.
Use Cases
Model historical crop yield trends using annual county-level acreage and production data from 1972 to 1998.
Analyze relationships between soil properties, geographic features, and agricultural management practices from the 1992 data collection.
Assess livestock population distributions across counties for supply chain or environmental impact studies.
Correlate county-level geography and population data with historical agricultural productivity.
Use land use variables to drive agro-ecosystem models like DNDC for greenhouse gas production assessments.
Strengths
27-year temporal coverage (1972-1998) for crop statistics.
Data spans 3,111 counties and independent cities across the contiguous U.S.
Includes seven integrated datasets covering crops, livestock, geography, soil, and management.
Limitations
Primary crop data ends in 1998, making it temporally stale for contemporary analysis.
Supplemental data on livestock, soil, and management is primarily from a single year (1992).
No data for Alaska, Hawaii, or U.S. territories, limiting geographic scope.
Provenance
Source
National Agricultural Statistics Service (NASS), U.S. Department of Agriculture.
Collection Method
Official county-based agricultural statistics and estimates derived from public national databases.
Time Range
1972 to 1998 for crop data; early 1990s for supplemental datasets.
Freshness
null
Geography
Contiguous United States (48 states + District of Columbia).
Data is divided into seven separate datasets; users must join them for a complete county profile. Includes 41 independent cities in Virginia classified as counties.