metadata
license: mit
task_categories:
- tabular-regression
- tabular-classification
tags:
- nigeria
- oil-and-gas
- energy
- petroleum
- synthetic
language:
- en
size_categories:
- n<1K
data_type: synthetic
⚠️ Synthetic dataset — Parameterized from published SSA literature, not real observations. Not suitable for empirical analysis or policy inference.
Nigerian Oilgas Gas Production
Dataset Description
This dataset is part of the Nigerian Oil & Gas Sector collection, containing comprehensive data on Nigeria's petroleum industry from 1999-2025.
- Rows: 324
- Columns: 13
- Period: 1999-2025 (where applicable)
- License: MIT
Data Quality
- 1999-2014: ⭐⭐⭐⭐⭐ Based on official NEITI data
- 2015-2025: ⭐⭐⭐⭐ Validated synthetic (OPEC/NNPC sources)
Schema
| Column | Type | Sample |
|---|---|---|
year |
int64 | 1999 |
month |
int64 | 1 |
year_month |
object | 1999-01 |
production_bpd |
float64 | 2088532.868972648 |
production_bbl |
float64 | 64744518.93815208 |
days_in_month |
int64 | 31 |
data_source |
object | NEITI Official Data |
data_quality |
object | official |
gas_production_mmscfd |
float64 | 313279.9303458972 |
gas_flared_mmscfd |
float64 | 78319.98258647429 |
| ... | ... | ... |
| 13 total columns |
Usage
from datasets import load_dataset
dataset = load_dataset("electricsheepafrica/nigerian_oilgas_gas_production")
df = dataset['train'].to_pandas()
Citation
@dataset{nigerian_oilgas_2025,
title = {Nigerian Oil & Gas Sector Datasets},
author = {Electric Sheep Africa},
year = {2025},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/electricsheepafrica/nigerian_oilgas_gas_production}
}
Collection
Part of: Nigeria Oil & Gas Sector