Missouri County-Level Corn Yield and Climate Data for Impact Analysis

Historical county-level data for Missouri combines USDA corn yield and harvested acreage with NOAA climate variables like precipitation, minimum and maximum temperature, and diurnal temperature range. The dataset, compiled by Gursewak Singh and last updated in 2026, also includes EIA carbon emissions data for climate change impact analysis. It supports statistical modeling, machine learning, and agricultural sustainability research.

Use Cases

• Assessing climate change impacts on agricultural productivity based on corn yield, acreage, and climate variables.
• Performing statistical trend analysis and correlation studies using precipitation, temperature, and carbon emissions data.
• Developing crop models or machine learning forecasts for corn yield using historical climate and production data.
• Conducting econometric modeling (e.g., ARDL) to evaluate short- and long-term effects of climate variables on crop output.

Strengths

• Integrates data from three authoritative sources: USDA, NOAA, and EIA.
• Includes derived variables like diurnal temperature range (DTR) calculated from Tmax and Tmin.
• Comes with associated code files for analysis and ARDL model outputs from EViews software.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data freshness should be verified as the last update is listed as 2026-05-30.

Provenance

Source

United States Department of Agriculture (USDA), National Oceanic and Atmospheric Administration (NOAA), Energy Information Administration (EIA).

Collection Method

Compiled from the listed public agency sources for analysis.

Freshness

Last updated 2026-05-30 19:42:49.

Geography

Missouri, United States (county-level).