Impact of Heavy Rainfall on Crime in Hunan Province, 2014-2018

Regression model robustness test results analyzing the relationship between extreme weather and crime. The dataset likely contains county-level panel data from Hunan Province, China, covering criminal offenses, climate conditions, and socio-economic indicators for the period 2014–2018. It was authored by Dongshui Zhang and last updated in April 2026.

Use Cases

• Modeling the spatiotemporal relationship between rainfall duration and crime rates based on the described panel data model.
• Analyzing spatial autocorrelation of crime intensity in agricultural regions like Ningxiang and Dongkou as mentioned in the description.
• Investigating how socio-economic moderators like GDP per capita and population mobility amplify weather impacts on crime.
• Testing the robustness of regression models for climate-crime relationships using the provided test results.

Strengths

• Data covers a 5-year time range (2014–2018) for longitudinal analysis.
• Integrates multiple data types: crime, climate, and socio-economic indicators for a multi-faceted study.
• Results include a specific quantified relationship (0.374% crime increase per 1% storm duration increase).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small (5.5 KB), suggesting limited scope or summary-level results rather than raw observational data.

Provenance

Source

figshare

Collection Method

Likely compiled from official county and city records in Hunan Province.

Time Range

2014–2018

Freshness

Last updated 2026-04-22 17:24:04; freshness should be verified.

Geography

Counties and cities in Hunan Province, China