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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

rows countries years license

TL;DR

This dataset contains 53 observations of Alcohol Attributable Fraction Of Mortality data across 53 Africa countries, spanning 2019–2019.

About the source

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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