Nigeria Oil & Gas Sector
Collection
35 datasets on Nigeria's oil & gas: production, pricing, infrastructure, environmental, operators & trade (1999-2025). 100K+ rows. • 35 items • Updated
facility_id stringclasses 10
values | name stringclasses 10
values | operator stringclasses 1
value | capacity_mtpa float64 2.89 4.68 | production_mtpa float64 1.54 3.66 |
|---|---|---|---|---|
LNG-01 | Train_1 | NLNG | 2.969701 | 1.540633 |
LNG-02 | Train_2 | NLNG | 4.391315 | 2.483816 |
LNG-03 | Train_3 | NLNG | 3.071928 | 2.508018 |
LNG-04 | Train_4 | NLNG | 3.496218 | 3.607499 |
LNG-05 | Train_5 | NLNG | 4.315589 | 2.677712 |
LNG-06 | Train_6 | NLNG | 3.989306 | 3.662053 |
LNG-07 | Train_7 | NLNG | 2.890752 | 1.789864 |
LNG-08 | Train_8 | NLNG | 4.683997 | 3.531348 |
LNG-09 | Train_9 | NLNG | 3.944331 | 1.676708 |
LNG-10 | Train_10 | NLNG | 4.453619 | 3.198162 |
⚠️ Synthetic dataset — Parameterized from published SSA literature, not real observations. Not suitable for empirical analysis or policy inference.
This dataset is part of the Nigerian Oil & Gas Sector collection, containing comprehensive data on Nigeria's petroleum industry from 1999-2025.
| Column | Type | Sample |
|---|---|---|
facility_id |
object | LNG-01 |
name |
object | Train_1 |
operator |
object | NLNG |
capacity_mtpa |
float64 | 2.969700731203563 |
production_mtpa |
float64 | 1.5406329717732064 |
from datasets import load_dataset
dataset = load_dataset("electricsheepafrica/nigerian_oilgas_lng_facilities")
df = dataset['train'].to_pandas()
@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_lng_facilities}
}
Part of: Nigeria Oil & Gas Sector