Nigerian Electricity Disco Performance: Synthetic Geospatial Estimates

Synthetic data modeling the performance of Nigerian electricity distribution companies (DISCOs) at state and local government area (LGA) levels. The dataset was generated by electricsheepafrica using a geospatial disaggregation model and is grounded in official World Bank national data. It was last updated on October 14, 2025.

Use Cases

• Methodology demonstration for geospatial disaggregation models based on proxy indicators.
• Educational analysis of electricity distribution performance patterns across Nigerian states and LGAs.
• Research into rural electrification and energy access disparities using modeled estimates.
• Benchmarking synthetic data generation techniques for energy sector applications.

Strengths

• Model is grounded in official World Bank national data, providing a high-level anchor.
• Provides geospatial disaggregation to state and LGA levels, which may not be available in raw national statistics.
• Explicitly labeled as synthetic data for research and education, clarifying its intended use.

Limitations

• All state and LGA estimates are modeled, not measured, limiting accuracy for operational decisions.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and specific column names are unknown, which may limit suitability assessment.

Provenance

Source

Modeled from official World Bank national data.

Collection Method

Generated via a geospatial disaggregation model using proxy indicators.

Time Range

null

Freshness

Last updated 2025-10-14 17:31:20.

Geography

Nigeria, disaggregated to state and local government area (LGA) levels.