Peru Drug Trafficking and Micro-Distribution Arrests Time Series for ARIMA Forecasting

Peru's official national crime records provide a temporal series of arrests linked to illicit drug trafficking and micro-commercialization. The dataset was used to develop and evaluate ARIMA forecasting models for predicting arrest trends. Fabrizio Del Carpio-Delgado authored the study, which was last updated on 2026-05-19.

Use Cases

• Forecasting future arrest trends for drug-related offenses based on historical time-series data.
• Analyzing temporal patterns in illicit drug trafficking and micro-distribution activity in Peru.
• Evaluating the performance of ARIMA models for crime prediction tasks.
• Supporting criminal intelligence and public security policy decisions with data-driven forecasts.

Strengths

• Data is sourced from official national crime and law enforcement records in Peru.
• The 79.5 KB size suggests a focused, manageable time-series dataset.
• The study includes exploratory analyses, stationarity testing, and model diagnostics as described.

Limitations

• The dataset is very small at 79.5 KB, indicating limited scope.
• Row count and specific column definitions are unknown, requiring inspection after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Official national crime and law enforcement records in Peru.

Collection Method

Secondary data obtained from official records for a quantitative, longitudinal, and predictive research design.

Freshness

Last updated 2026-05-19 19:27:43; freshness should be verified.

Geography

Peru