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country_name
stringclasses
43 values
country_iso3
stringclasses
43 values
year
int64
2.01k
2.02k
Affordability of cigarettes (as a share of GDP per capita)
float64
0.45
114
Algeria
DZA
2,012
1.97
Algeria
DZA
2,014
3.41
Algeria
DZA
2,016
4.9
Algeria
DZA
2,018
6.25
Algeria
DZA
2,020
7.16
Algeria
DZA
2,022
5.8
Angola
AGO
2,012
3
Angola
AGO
2,014
3.62
Angola
AGO
2,018
5.14
Angola
AGO
2,020
8.31
Angola
AGO
2,022
5.88
Benin
BEN
2,012
8.55
Benin
BEN
2,014
7.84
Benin
BEN
2,016
7.76
Benin
BEN
2,018
7.26
Benin
BEN
2,020
6.74
Benin
BEN
2,022
5.9
Botswana
BWA
2,012
4.8
Botswana
BWA
2,014
4.11
Botswana
BWA
2,016
4.38
Botswana
BWA
2,018
5.05
Botswana
BWA
2,020
6.81
Botswana
BWA
2,022
5.34
Burkina Faso
BFA
2,012
12.92
Burkina Faso
BFA
2,014
12.77
Burkina Faso
BFA
2,016
15.94
Burkina Faso
BFA
2,018
16.61
Burkina Faso
BFA
2,020
15.7
Burkina Faso
BFA
2,022
14.65
Burundi
BDI
2,012
22.17
Burundi
BDI
2,014
37.87
Burundi
BDI
2,016
34.4
Burundi
BDI
2,018
33.08
Burundi
BDI
2,020
40.18
Burundi
BDI
2,022
33.59
Cameroon
CMR
2,012
6.98
Cameroon
CMR
2,014
6.31
Cameroon
CMR
2,016
5.97
Cameroon
CMR
2,018
6.81
Cameroon
CMR
2,020
7.91
Cameroon
CMR
2,022
7.13
Cape Verde
CPV
2,012
6.15
Cape Verde
CPV
2,014
6.14
Cape Verde
CPV
2,016
5.86
Cape Verde
CPV
2,018
4.86
Cape Verde
CPV
2,020
7.7
Cape Verde
CPV
2,022
8
Central African Republic
CAF
2,014
23.86
Central African Republic
CAF
2,018
20.28
Central African Republic
CAF
2,022
25.99
Chad
TCD
2,012
10.09
Chad
TCD
2,014
9.88
Chad
TCD
2,016
12.04
Chad
TCD
2,018
12.62
Chad
TCD
2,020
13.32
Chad
TCD
2,022
11.43
Comoros
COM
2,012
9.31
Comoros
COM
2,014
8.97
Comoros
COM
2,016
13.43
Comoros
COM
2,018
6.93
Comoros
COM
2,020
6.84
Comoros
COM
2,022
8.28
Congo
COG
2,012
2.13
Congo
COG
2,014
2.74
Congo
COG
2,016
4.58
Congo
COG
2,018
3.82
Congo
COG
2,020
5.91
Congo
COG
2,022
4.11
Cote d'Ivoire
CIV
2,012
8.13
Cote d'Ivoire
CIV
2,014
6.7
Cote d'Ivoire
CIV
2,016
5.99
Cote d'Ivoire
CIV
2,018
5.56
Cote d'Ivoire
CIV
2,020
5.34
Cote d'Ivoire
CIV
2,022
5.33
Democratic Republic of Congo
COD
2,012
19.56
Democratic Republic of Congo
COD
2,014
16.9
Democratic Republic of Congo
COD
2,016
22.55
Democratic Republic of Congo
COD
2,018
13.91
Democratic Republic of Congo
COD
2,020
10.07
Democratic Republic of Congo
COD
2,022
7.48
Djibouti
DJI
2,012
5.14
Djibouti
DJI
2,014
4.57
Djibouti
DJI
2,016
4.01
Egypt
EGY
2,012
2.96
Egypt
EGY
2,014
3.22
Egypt
EGY
2,016
3.23
Egypt
EGY
2,018
3.33
Egypt
EGY
2,020
2.78
Egypt
EGY
2,022
2.76
Equatorial Guinea
GNQ
2,012
0.45
Equatorial Guinea
GNQ
2,014
0.53
Equatorial Guinea
GNQ
2,016
0.92
Equatorial Guinea
GNQ
2,018
0.9
Equatorial Guinea
GNQ
2,020
1.21
Equatorial Guinea
GNQ
2,022
0.76
Eritrea
ERI
2,012
37.5
Eritrea
ERI
2,014
49.62
Eritrea
ERI
2,016
101.21
Eritrea
ERI
2,018
114.2
Eswatini
SWZ
2,014
7.81
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Affordability Cigarettes | Africa (Our World in Data)

🌍 300 observations · 54 Africa countries · 2012–2022 · Repackaged by Electric Sheep Africa

rows countries years license

TL;DR

This dataset contains 300 observations of Affordability Cigarettes data across 54 Africa countries, spanning 2012–2022.

About the source

Geographic coverage

54 Africa countries · top rows shown below, sorted by row count:

Country Rows First year Last year
BDI 6 2012 2022
BEN 6 2012 2022
BWA 6 2012 2022
BFA 6 2012 2022
CMR 6 2012 2022
CIV 6 2012 2022
GMB 6 2012 2022
ETH 6 2012 2022
COD 6 2012 2022
COG 6 2012 2022
COM 6 2012 2022
CPV 6 2012 2022
DZA 6 2012 2022
EGY 6 2012 2022
GAB 6 2012 2022
... 39 more countries

Schema

Column Type Description Example
country_name string Algeria
country_iso3 string DZA
year int64 2012
Affordability of cigarettes (as a share of GDP per capita) float64 1.97

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-owid-affordability-cigarettes")
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="Affordability of cigarettes (as a share of GDP per capita)")

Citation

@misc{africa_owid_affordability_cigarettes_2022,
  title        = {Affordability Cigarettes | Africa (Our World in Data)},
  author       = {Our World in Data},
  year         = {2022},
  url          = {https://ourworldindata.org/grapher/affordability-cigarettes},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-owid-affordability-cigarettes}}
}

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/affordability-cigarettes

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