Dataset Viewer
Auto-converted to Parquet Duplicate
country_name
stringclasses
42 values
country_iso3
stringclasses
42 values
year
int64
2k
2.02k
Adolescent birth rate (per 1,000 women aged 15-19 and 10-14 years) - 10 to 14 years old
float64
0
28.6
Algeria
DZA
2,002
0.26
Algeria
DZA
2,005
0.2
Algeria
DZA
2,006
0.16
Algeria
DZA
2,008
0.02
Algeria
DZA
2,010
0.03
Algeria
DZA
2,011
0.05
Algeria
DZA
2,014
0.12
Algeria
DZA
2,016
0.02
Algeria
DZA
2,017
0
Angola
AGO
2,002
14.64
Angola
AGO
2,003
12.03
Angola
AGO
2,004
6.63
Angola
AGO
2,005
6.91
Angola
AGO
2,006
12.77
Angola
AGO
2,008
11.32
Angola
AGO
2,009
6.1
Angola
AGO
2,011
10.32
Angola
AGO
2,013
10.64
Angola
AGO
2,014
10.66
Benin
BEN
2,001
10.83
Benin
BEN
2,002
7.5
Benin
BEN
2,003
10.78
Benin
BEN
2,004
10.19
Benin
BEN
2,005
8.97
Benin
BEN
2,006
7.26
Benin
BEN
2,007
7.88
Benin
BEN
2,008
7.63
Benin
BEN
2,009
4.88
Benin
BEN
2,010
5.5
Benin
BEN
2,011
2.73
Benin
BEN
2,012
2.01
Benin
BEN
2,013
4.12
Benin
BEN
2,014
4.62
Benin
BEN
2,015
2.04
Benin
BEN
2,016
2
Benin
BEN
2,017
2.67
Benin
BEN
2,019
1.79
Benin
BEN
2,020
0.79
Botswana
BWA
2,006
0
Botswana
BWA
2,011
0.41
Botswana
BWA
2,012
0.42
Botswana
BWA
2,013
0.32
Botswana
BWA
2,014
0.27
Botswana
BWA
2,016
0.32
Botswana
BWA
2,017
0.15
Botswana
BWA
2,018
0.4
Botswana
BWA
2,019
0.34
Burkina Faso
BFA
2,002
12.45
Burkina Faso
BFA
2,003
4.89
Burkina Faso
BFA
2,004
10.99
Burkina Faso
BFA
2,005
10.26
Burkina Faso
BFA
2,006
2.57
Burkina Faso
BFA
2,008
1.22
Burkina Faso
BFA
2,009
0.6
Burkina Faso
BFA
2,011
6.89
Burkina Faso
BFA
2,014
6.76
Burkina Faso
BFA
2,015
4.67
Burkina Faso
BFA
2,016
2.59
Burkina Faso
BFA
2,017
2.76
Burkina Faso
BFA
2,019
1.65
Burkina Faso
BFA
2,020
1.21
Burundi
BDI
2,003
2.07
Burundi
BDI
2,004
3.14
Burundi
BDI
2,006
2.27
Burundi
BDI
2,008
0.59
Burundi
BDI
2,009
1.94
Burundi
BDI
2,010
1
Burundi
BDI
2,011
0.76
Burundi
BDI
2,012
0.96
Burundi
BDI
2,014
0.71
Burundi
BDI
2,015
0.73
Cameroon
CMR
2,002
13.08
Cameroon
CMR
2,003
12.92
Cameroon
CMR
2,004
14.17
Cameroon
CMR
2,005
14.77
Cameroon
CMR
2,006
13.33
Cameroon
CMR
2,007
12.7
Cameroon
CMR
2,008
10.37
Cameroon
CMR
2,009
6.05
Cameroon
CMR
2,010
10.94
Cameroon
CMR
2,011
9.44
Cameroon
CMR
2,012
7.5
Cameroon
CMR
2,013
6.27
Cameroon
CMR
2,014
6.95
Cameroon
CMR
2,016
4.41
Cameroon
CMR
2,017
2.9
Cameroon
CMR
2,020
3.24
Cameroon
CMR
2,021
2.36
Cape Verde
CPV
2,006
1.35
Cape Verde
CPV
2,007
1.6
Cape Verde
CPV
2,008
1.49
Cape Verde
CPV
2,009
0.45
Cape Verde
CPV
2,010
0.72
Cape Verde
CPV
2,011
1.2
Cape Verde
CPV
2,012
0.9
Cape Verde
CPV
2,013
0.85
Cape Verde
CPV
2,014
0.96
Cape Verde
CPV
2,015
1.15
Cape Verde
CPV
2,016
0.89
Cape Verde
CPV
2,017
1.19
End of preview. Expand in Data Studio

Adolescent Fertility | Africa (Our World in Data)

🌍 681 observations · 53 Africa countries · 2000–2023 · Repackaged by Electric Sheep Africa

rows countries years license

TL;DR

This dataset contains 681 observations of Adolescent Fertility data across 53 Africa countries, spanning 2000–2023.

About the source

Geographic coverage

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

Country Rows First year Last year
MUS 24 2000 2023
SYC 24 2000 2023
NGA 19 2001 2020
RWA 19 2001 2023
BEN 19 2001 2020
TUN 19 2001 2021
SEN 19 2001 2019
GIN 18 2001 2020
CIV 18 2001 2021
LBR 17 2001 2021
MDG 17 2001 2019
CMR 17 2002 2021
TZA 17 2002 2020
GMB 17 2001 2018
GHA 16 2002 2021
... 38 more countries

Schema

Column Type Description Example
country_name string Algeria
country_iso3 string DZA
year int64 2002
Adolescent birth rate (per 1,000 women aged 15-19 and 10-14 years) - 10 to 14 years old float64 0.26

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-owid-adolescent-fertility")
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="Adolescent birth rate (per 1,000 women aged 15-19 and 10-14 years) - 10 to 14 years old")

Citation

@misc{africa_owid_adolescent_fertility_2023,
  title        = {Adolescent Fertility | Africa (Our World in Data)},
  author       = {Our World in Data},
  year         = {2023},
  url          = {https://ourworldindata.org/grapher/adolescent-fertility},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-owid-adolescent-fertility}}
}

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/adolescent-fertility

Downloads last month
13