Datasets:

electricsheepafrica
/

africa-djibouti-djibouti-external-debt-6a22eb46

license: cc-by-4.0
language:
  - en
task_categories:
  - tabular-regression
  - time-series-forecasting
multilinguality: monolingual
size_categories:
  - 1K<n<10K
tags:
  - tabular
  - csv
  - africa
  - djibouti
  - official-statistics
  - open-data
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-00000-of-00001.parquet
pretty_name: Djibouti - External Debt | Africa (Djibouti official open data)

Djibouti - External Debt | Africa (Djibouti official open data)

1,961 rows - 1 Africa country - 1966-2025 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from Djibouti as ML-ready Parquet. The source file is the provenance boundary; all usable indicators or tabular columns from the resource stay together in this repo.

About the source

Source: Djibouti - External Debt
Publisher: World Bank Group
Resource: External Debt Indicators for Djibouti
Format: CSV
License: CC BY 4.0
Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
`DJI`	1,961	1966	2025	`Djibouti`

Indicators or Resource Contents

djibouti-external-debt-a5a9cb6f - Djibouti - External Debt

Schema

Column	Type	Description	Example
`indicator_id`	`string`	Stable indicator identifier.	`djibouti-external-debt-a5a9cb6f`
`indicator_name`	`string`	Human-readable indicator name.	`Djibouti - External Debt`
`country_iso3`	`string`	ISO3 country code.	`DJI`
`country_name`	`string`	Country name.	`Djibouti`
`year`	`Int64`	Observation year.	`2024`
`value`	`float64`	Numeric observation value.	`4923082737.87489`
`unit`	`string`	Measurement unit, when available.	`source_units_unspecified`
`dimension_country_name`	`string`	Source dimension.	`Djibouti`
`dimension_country_iso3`	`string`	Source dimension.	`DJI`
`dimension_indicator_name`	`string`	Source dimension.	`Imports of goods, services and primary income (BoP, current US$)`
`dimension_indicator_code`	`string`	Source dimension.	`BM.GSR.TOTL.CD`
`source_period_start_year`	`Int64`	First year inferred from source resource metadata.	``
`source_period_end_year`	`Int64`	Last year inferred from source resource metadata.	``
`source_period_label`	`string`	Human-readable period inferred from source resource metadata.	``
`source_provider`	`category`	Publishing organization.	`World Bank Group`
`source_dataset`	`category`	Source package title.	`Djibouti - External Debt`
`source_resource`	`category`	Source resource title.	`External Debt Indicators for Djibouti`
`source_package_id`	`category`	CKAN package UUID.	`e5dceb13-446c-414b-9745-8aee83491d2d`
`source_resource_id`	`category`	CKAN resource UUID.	`c9653b9b-5654-4abc-a0a9-8b512a8ddd11`
`source_url`	`category`	Original source resource URL.	`https://data.humdata.org/dataset/e5dceb13-446c-414b-9745-8aee83491d2d/re`
`license_id`	`category`	Source license identifier.	`cc-by`
`retrieved_at`	`category`	UTC retrieval timestamp.	`2026-08-16T10:32:57Z`

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-djibouti-djibouti-external-debt-6a22eb46")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "DJI"]

Work with indicators

if "indicator_id" in df.columns:
    print(df["indicator_id"].value_counts().head())
    sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])

Citation

@misc{electric_sheep_africa_africa_djibouti_djibouti_external_debt_6a22eb46_2025,
  title        = {Djibouti - External Debt | Africa (Djibouti official open data)},
  author       = {World Bank Group},
  year         = {2025},
  url          = {https://data.humdata.org/dataset/world-bank-external-debt-indicators-for-djibouti},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-djibouti-djibouti-external-debt-6a22eb46}}
}

License

Released under CC BY 4.0.

Original data (c) World Bank Group. When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging.

About Electric Sheep

Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa on Hugging Face. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use load_dataset() to start working in seconds.

Browse the full collection: huggingface.co/electricsheepafrica

Provenance: ingested 2026-08-16 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/e5dceb13-446c-414b-9745-8aee83491d2d/resource/c9653b9b-5654-4abc-a0a9-8b512a8ddd11/download/external-debt_dji.csv