Datasets:

electricsheepafrica
/

africa-ghana-annual-distribution-of-casualties-477520f5

license: cc-by-4.0
language:
  - en
task_categories:
  - tabular-regression
  - time-series-forecasting
multilinguality: monolingual
size_categories:
  - n<1K
tags:
  - tabular
  - csv
  - africa
  - ghana
  - official-statistics
  - open-data
  - health
pretty_name: Annual Distribution of Casualties | Africa (Ghana official open data)

Annual Distribution of Casualties | Africa (Ghana official open data)

40 rows - 1 Africa country - 1991-2010 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from Ghana 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: Annual Distribution of Casualties
Publisher: Official government open data portal
Resource: Annual Distribution of Casualties for 1991-2005 by gender
Format: CSV
License: CC BY 4.0
Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
`GHA`	40	1991	2010	`Ghana`

Indicators or Resource Contents

annual-distribution-of-casualties-unnamed-1-cf6cf4d9 - Annual Distribution of Casualties - unnamed 1
annual-distribution-of-casualties-unnamed-2-e07e74cd - Annual Distribution of Casualties - unnamed 2

Schema

Column	Type	Description	Example
`indicator_id`	`string`	Stable indicator identifier.	`annual-distribution-of-casualties-unnamed-1-cf6cf4d9`
`indicator_name`	`string`	Human-readable indicator name.	`Annual Distribution of Casualties - unnamed 1`
`country_iso3`	`string`	ISO3 country code.	`GHA`
`country_name`	`string`	Country name.	`Ghana`
`year`	`Int64`	Observation year.	`1991`
`value`	`float64`	Numeric observation value.	`6306.0`
`unit`	`string`	Measurement unit, when available.	`source_units_unspecified`
`source_period_start_year`	`Int64`	First year inferred from source resource metadata.	`1991`
`source_period_end_year`	`Int64`	Last year inferred from source resource metadata.	`2005`
`source_period_label`	`string`	Human-readable period inferred from source resource metadata.	`1991-2005`
`source_provider`	`string`	Publishing organization.	`Official government open data portal`
`source_dataset`	`string`	Source package title.	`Annual Distribution of Casualties`
`source_resource`	`string`	Source resource title.	`Annual Distribution of Casualties for 1991-2005 by gender`
`source_package_id`	`string`	CKAN package UUID.	`6272ce5a-8209-49d8-b268-207c4101910c`
`source_resource_id`	`string`	CKAN resource UUID.	`538788c2-cf9d-407a-a484-f0e473bcce44`
`source_url`	`string`	Original source resource URL.	`http://data.gov.gh/sites/default/files/Annual%20Distribution%20of%20Casu`
`license_id`	`string`	Source license identifier.	`cc-by`
`retrieved_at`	`string`	UTC retrieval timestamp.	`2026-07-18T20:11:31Z`

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-ghana-annual-distribution-of-casualties-477520f5")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "GHA"]

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_ghana_annual_distribution_of_casualties_477520f5_2010,
  title        = {Annual Distribution of Casualties | Africa (Ghana official open data)},
  author       = {Official government open data portal},
  year         = {2010},
  url          = {http://data.gov.gh/dataset/annual-distribution-casualties},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-ghana-annual-distribution-of-casualties-477520f5}}
}

License

Released under CC BY 4.0.

Original data (c) Official government open data portal. 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 2026-07-18 via the Electric Sheep pipeline. Source URL: http://data.gov.gh/sites/default/files/Annual%20Distribution%20of%20Casualties%20by%20Sex_0.csv