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electricsheepafrica/africa-chad-afdb-socio-economic-database-1960-2019-e4ecd570

Afdb Socio Economic Database 1960 2019 | Africa (African Development Bank Group (inactive)) 49,492 rows - 1 Africa country/area - 1960-2019 - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 49,492 rows from African Development Bank Group (inactive), covering Afdb Socio Economic Database 1960 2019. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-chad-afdb-socio-economic-database-1960-2019-e4ecd570.

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Afdb Socio Economic Database 1960 2019 | Africa (African Development Bank Group (inactive))

49,492 rows - 1 Africa country/area - 1960-2019 - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 49,492 rows from African Development Bank Group (inactive), covering Afdb Socio Economic Database 1960 2019. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Agriculture datasets help analysts examine production, prices, inputs, land use, food systems, and rural economic activity.

Source-provided context: http://dataportal.opendataforafrica.org/bbkawjf/afdb-socio-economic-database-1960-2019

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: not detected.
  • —Time coverage basis: source metadata.
  • —Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

DimensionValue
Rows49,492
Countries/areas1
First period1960
Last period2019
Indicators0
Columns15
Source formatCSV

Geographic Coverage

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

AreaRowsFirst yearLast yearName
TCD49,492n/an/aChad

Indicators, Variables, Or Resource Contents

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

Schema

ColumnTypeDescriptionExample
source_record_idstringStable row identifier assigned during Electric Sheep Africa engineering.280b1991-bb4a-4991-934a-d7470fb28026:0
country_iso3dictionary<values=string, indices=int8, ordered=0>ISO3 country or area code.TCD
country_namedictionary<values=string, indices=int8, ordered=0>Country or area name.Chad
pk_h_liib_k_country_csvstringSource column from the original resource.çæ÷¯ ófQ-áŽÌgÁfîÍHxÅ: n Eá53»ٝ·:†«¯î Ú(\DëzK‡ÅÞÊa“qñšõþµq“(öá«...
source_period_start_yearint64Start year inferred from source metadata.1960
source_period_end_yearint64End year inferred from source metadata.2019
source_period_labeldictionary<values=string, indices=int8, ordered=0>Source column from the original resource.1960-2019
source_providerdictionary<values=string, indices=int8, ordered=0>Publishing organization.African Development Bank Group (inactive)
source_datasetdictionary<values=string, indices=int8, ordered=0>Source dataset or package title.AfDB Socio Economic Database, 1960-2019
source_resourcedictionary<values=string, indices=int8, ordered=0>Source resource title, table name, or file name.AFDB Socio Economic Database, 1960-2019-ggotmbd.zip
source_package_iddictionary<values=string, indices=int8, ordered=0>Source package identifier.2136432f-4932-47ad-a87a-5d3996647c4b
source_resource_iddictionary<values=string, indices=int8, ordered=0>Source resource identifier.280b1991-bb4a-4991-934a-d7470fb28026
source_urldictionary<values=string, indices=int8, ordered=0>Original source URL or download URL.https://data.humdata.org/dataset/2136432f-4932-47ad-a87a-5d3996647c4b...
license_iddictionary<values=string, indices=int8, ordered=0>Source license identifier.cc-by
retrieved_atdictionary<values=string, indices=int8, ordered=0>UTC source retrieval timestamp from the Electric Sheep Africa pipeline.2026-08-10T22:51:43Z

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-chad-afdb-socio-economic-database-1960-2019-e4ecd570")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

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

Filter By Geography

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

Time-Series Pattern

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

Pivot For Analysis

python
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

  • —No canonical year/date column was detected in the packaged table; use source metadata and domain context for temporal interpretation.
  • —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

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

  • —Track production or price movements
  • —Compare regions or commodities
  • —Join with climate and trade data
  • —Check missingness before modeling
  • —Use country_iso3 as the safest geography join key when present

Citation

bibtex
@misc{electric_sheep_africa_africa_chad_afdb_socio_economic_database_1960_2019_e4ecd570_2019,
  title        = {Afdb Socio Economic Database 1960 2019 | Africa (African Development Bank Group (inactive))},
  author       = {African Development Bank Group (inactive)},
  year         = {2019},
  url          = {https://data.humdata.org/dataset/afdb-socio-economic-database-1960-2019},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-chad-afdb-socio-economic-database-1960-2019-e4ecd570}}
}

License

Released under CC BY 4.0.

Original data is published by African Development Bank Group (inactive). 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.


Provenance: README standardized 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://data.humdata.org/dataset/afdb-socio-economic-database-1960-2019