Datasets:
country_name stringlengths 4 28 | country_iso3 stringlengths 3 3 | year int64 2.02k 2.02k | Alcohol-attributable fractions, all-cause deaths (%) - Sex: both sexes - Age group: Total (All ages) float64 0.39 9.11 |
|---|---|---|---|
Algeria | DZA | 2,019 | 1.0572 |
Angola | AGO | 2,019 | 6.56265 |
Benin | BEN | 2,019 | 5.02344 |
Botswana | BWA | 2,019 | 6.5644 |
Burkina Faso | BFA | 2,019 | 4.74436 |
Burundi | BDI | 2,019 | 4.65847 |
Cameroon | CMR | 2,019 | 7.00462 |
Cape Verde | CPV | 2,019 | 8.75317 |
Central African Republic | CAF | 2,019 | 3.88266 |
Chad | TCD | 2,019 | 2.77932 |
Comoros | COM | 2,019 | 0.55052 |
Congo | COG | 2,019 | 7.67548 |
Cote d'Ivoire | CIV | 2,019 | 3.15327 |
Democratic Republic of Congo | COD | 2,019 | 4.34397 |
Djibouti | DJI | 2,019 | 1.4491 |
Egypt | EGY | 2,019 | 2.06673 |
Equatorial Guinea | GNQ | 2,019 | 5.99198 |
Eritrea | ERI | 2,019 | 2.67494 |
Eswatini | SWZ | 2,019 | 6.98948 |
Ethiopia | ETH | 2,019 | 4.27325 |
Gabon | GAB | 2,019 | 9.11243 |
Gambia | GMB | 2,019 | 1.9409 |
Ghana | GHA | 2,019 | 6.04878 |
Guinea | GIN | 2,019 | 1.16599 |
Guinea-Bissau | GNB | 2,019 | 4.81026 |
Kenya | KEN | 2,019 | 4.98718 |
Lesotho | LSO | 2,019 | 5.2241 |
Liberia | LBR | 2,019 | 4.58356 |
Libya | LBY | 2,019 | 0.39108 |
Madagascar | MDG | 2,019 | 2.41922 |
Malawi | MWI | 2,019 | 4.37193 |
Mali | MLI | 2,019 | 2.13184 |
Mauritania | MRT | 2,019 | 0.40274 |
Mauritius | MUS | 2,019 | 3.8691 |
Morocco | MAR | 2,019 | 1.06344 |
Mozambique | MOZ | 2,019 | 2.18001 |
Namibia | NAM | 2,019 | 6.56825 |
Niger | NER | 2,019 | 0.7815 |
Nigeria | NGA | 2,019 | 3.77106 |
Rwanda | RWA | 2,019 | 4.68955 |
Sao Tome and Principe | STP | 2,019 | 7.38821 |
Senegal | SEN | 2,019 | 1.23298 |
Alcohol Attributable Fraction Of Mortality | Africa (Our World in Data)
🌍 53 observations · 53 Africa countries · 2019–2019 · Repackaged by Electric Sheep Africa
TL;DR
This dataset contains 53 observations of Alcohol Attributable Fraction Of Mortality data across 53 Africa countries, spanning 2019–2019.
About the source
- Source: Our World in Data
- Publisher: Our World in Data
- License: cc-by-4.0
- Topic: Alcohol Attributable Fraction Of Mortality
Geographic coverage
53 Africa countries · top rows shown below, sorted by row count:
| Country | Rows | First year | Last year |
|---|---|---|---|
AGO |
1 | 2019 | 2019 |
BDI |
1 | 2019 | 2019 |
BEN |
1 | 2019 | 2019 |
BFA |
1 | 2019 | 2019 |
BWA |
1 | 2019 | 2019 |
CAF |
1 | 2019 | 2019 |
CIV |
1 | 2019 | 2019 |
CMR |
1 | 2019 | 2019 |
COD |
1 | 2019 | 2019 |
COG |
1 | 2019 | 2019 |
COM |
1 | 2019 | 2019 |
CPV |
1 | 2019 | 2019 |
DJI |
1 | 2019 | 2019 |
DZA |
1 | 2019 | 2019 |
EGY |
1 | 2019 | 2019 |
| ... | 38 more countries |
Schema
| Column | Type | Description | Example |
|---|---|---|---|
country_name |
string |
— | Algeria |
country_iso3 |
string |
— | DZA |
year |
int64 |
— | 2019 |
Alcohol-attributable fractions, all-cause deaths (%) - Sex: both sexes - Age group: Total (All ages) |
float64 |
— | 1.0572 |
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-owid-alcohol-attributable-fraction-of-mortality")
df = ds["train"].to_pandas()
print(df.head())
Filter to one country
kenya = df[df["country_iso3"] == "KEN"]
Time-series for a single indicator
sample = df.sort_values("year")
sample.plot(x="year", y="Alcohol-attributable fractions, all-cause deaths (%) - Sex: both sexes - Age group: Total (All ages)")
Citation
@misc{africa_owid_alcohol_attributable_fraction_of_mortality_2019,
title = {Alcohol Attributable Fraction Of Mortality | Africa (Our World in Data)},
author = {Our World in Data},
year = {2019},
url = {https://ourworldindata.org/grapher/alcohol-attributable-fraction-of-mortality},
publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-owid-alcohol-attributable-fraction-of-mortality}}
}
License
Released under cc-by-4.0.
Original data © Our World in Data. 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 HuggingFace. 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 2026-06-01 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/alcohol-attributable-fraction-of-mortality
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