electricsheepafrica/africa-nigeria-gross-domestic-product-1fcefe59

Gross Domestic Product | Africa (National Bureau of Statistics, Nigeria)

386 rows - 1 Africa country/area - 2025 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 386 rows from National Bureau of Statistics, Nigeria, covering Gross Domestic Product. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Economic datasets help analysts examine production, prices, public finance, trade flows, market conditions, and macroeconomic change.

Source-provided context: Document, Report [doc/rep]

How To Read This Dataset

• One row means: one source record from the original tabular resource, with Electric Sheep Africa provenance columns added where available.
• Primary geography column: country_iso3.
• Best time column: year.
• Time coverage basis: year.
• Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

Dimension	Value
Rows	386
Countries/areas	1
First period	2025
Last period	2025
Indicators	0
Columns	52
Source format	ZIP

Geographic Coverage

Top areas shown below, sorted by row count when available:

Area	Rows	First year	Last year	Name
NGA	386	2025	2025	Nigeria

Indicators, Variables, Or Resource Contents

• This repo preserves one source tabular resource with its usable columns kept together.

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier assigned during Electric Sheep Africa engineering.	nbs-nada-147-1287:q2-2025-gdp-xlsx-gdp-curr-k-dfl:0
country_iso3	string	ISO3 country or area code.	NGA
country_name	string	Country or area name.	Nigeria
source_sheet	string	Source column from the original resource.	Q2 2025 GDP.xlsx::GDP_Curr_K_dfl_%Distrn
year	int64	Observation year.	2025
d_1_crop_production	string	Source column from the original resource.	2. Livestock
d_10187999_370158553	double	Source column from the original resource.	3959911.0939634014
d_11434772_513609285	double	Source column from the original resource.	5189870.855011607
d_17639218_85772576	double	Source column from the original resource.	5630818.802970379
d_17633945_49829028	double	Source column from the original resource.	6855899.785861037
d_56895936_23978388	double	Source column from the original resource.	21636500.537806425
d_10799573_86469823	double	Source column from the original resource.	3416082.7591971867
d_12007259_113416864	double	Source column from the original resource.	6424357.165540876
d_20009618_058434695	double	Source column from the original resource.	7466510.778122213
d_19100123_40889334	double	Source column from the original resource.	7491522.924486091
d_61916574_44544313	double	Source column from the original resource.	24798473.627346367
d_11781472_180426212	double	Source column from the original resource.	3320828.451956264
d_12090891_639068244	double	Source column from the original resource.	6625789.112799859
source_period_start_year	int64	Start year inferred from source metadata.	2025
source_period_end_year	int64	End year inferred from source metadata.	2025
source_period_label	string	Source column from the original resource.	2025
source_provider	string	Publishing organization.	National Bureau of Statistics, Nigeria
source_dataset	string	Source dataset or package title.	Gross Domestic Product
source_resource	string	Source resource title, table name, or file name.	Nigerian Gross Domestic Product Report Q2 2025
source_package_id	string	Source package identifier.	NGA-NBS-GDP
source_resource_id	string	Source resource identifier.	nbs-nada-147-1287
source_url	string	Original source URL or download URL.	https://microdata.nigerianstat.gov.ng/index.php/catalog/147/download/...
license_id	string	Source license identifier.	other-open
retrieved_at	string	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	2026-07-19T04:13:01Z
agriculture	string	Source column from the original resource.	``
d_2_168678545473446	double	Source column from the original resource.	``
d_11_54601443641543	double	Source column from the original resource.	``
d_18_055251987549227	double	Source column from the original resource.	``
d_8_824286817768655	double	Source column from the original resource.	``
d_10_822047318673533	double	Source column from the original resource.	``
d_10_04048228766563	double	Source column from the original resource.	``
d_1_8370921433609633	double	Source column from the original resource.	``
d_1_787636964744621	double	Source column from the original resource.	``
d_2_6006869890114137	double	Source column from the original resource.	``
d_2_5531670175972465	double	Source column from the original resource.	``
d_2_5444612783751097	double	Source column from the original resource.	``
d_1_6893386032502455	double	Source column from the original resource.	``
d_0_06613569220124127	double	Source column from the original resource.	``
d_2_8202700944042203	double	Source column from the original resource.	``
growth	string	Source column from the original resource.	``
q1	double	Source column from the original resource.	``
q2	double	Source column from the original resource.	``
q3	double	Source column from the original resource.	``
q4	double	Source column from the original resource.	``
total	double	Source column from the original resource.	``
q1_2	double	Source column from the original resource.	``
q2_2	double	Source column from the original resource.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-nigeria-gross-domestic-product-1fcefe59")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

print(df.info())
print(df.head())

Filter By Geography

if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "NGA"]

Time-Series Pattern

if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("year")

Pivot For Analysis

if {"indicator_id", "year", "value"}.issubset(df.columns):
    matrix = df.pivot_table(index="year", columns="indicator_id", values="value")
    print(matrix.tail())

Data Quality Notes

• Canonical time field: year.
• Missing values are preserved rather than silently imputed.
• Column names are standardized for machine use; source meanings are preserved where known.
• Always confirm source methodology, units, and collection definitions before policy, production, or redistribution-sensitive use.

Source And Provenance

• Source: National Bureau of Statistics, Nigeria
• Publisher: National Bureau of Statistics, Nigeria
• Portal: https://microdata.nigerianstat.gov.ng
• Resource: Nigerian Gross Domestic Product Report Q2 2025
• License: other-open
• Retrieved/generated: 2026-07-19T04:17:12Z
• Hugging Face repo: electricsheepafrica/africa-nigeria-gross-domestic-product-1fcefe59

Transformations Applied

• Converted the source table to Parquet for efficient analytics and ML workflows.
• Added or preserved source provenance columns where available.
• Standardized README metadata, dataset loading configuration, schema documentation, and citation format.
• Preserved source-reported values without analytical imputation.

Suggested Analyses

• Build time-series dashboards
• Compare economic indicators
• Join with population or sector data
• Build time-series views and period-over-period comparisons
• Check missingness before modeling
• Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_nigeria_gross_domestic_product_1fcefe59_2025,
  title        = {Gross Domestic Product | Africa (National Bureau of Statistics, Nigeria)},
  author       = {National Bureau of Statistics, Nigeria},
  year         = {2025},
  url          = {https://microdata.nigerianstat.gov.ng/index.php/catalog/147/related-materials},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-nigeria-gross-domestic-product-1fcefe59}}
}

License

Released under other-open.

Original data is published by National Bureau of Statistics, Nigeria. Electric Sheep Africa engineering standardizes the data for discovery, loading, and analysis on Hugging Face. Cite both the original source and this ML-ready dataset when used.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.

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Provenance: README standardized 2026-08-12 by the Electric Sheep Africa README system. Source URL: https://microdata.nigerianstat.gov.ng/index.php/catalog/147/related-materials