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country_name
stringclasses
43 values
country_iso3
stringclasses
43 values
year
int64
2k
2.02k
Adoscent birth rate
float64
4.01
254
Algeria
DZA
2,002
8.21
Algeria
DZA
2,005
9.01
Algeria
DZA
2,006
10.06
Algeria
DZA
2,007
9
Algeria
DZA
2,008
8.8
Algeria
DZA
2,009
9.6
Algeria
DZA
2,010
9.1
Algeria
DZA
2,011
9.5
Algeria
DZA
2,012
9.1
Algeria
DZA
2,013
9.8
Algeria
DZA
2,014
9.2
Algeria
DZA
2,015
9.7
Algeria
DZA
2,016
10.3
Algeria
DZA
2,017
9.8
Algeria
DZA
2,018
9.1
Algeria
DZA
2,019
11
Angola
AGO
2,002
149.52
Angola
AGO
2,003
150.88
Angola
AGO
2,004
157.77
Angola
AGO
2,005
165.64
Angola
AGO
2,006
171.92
Angola
AGO
2,008
187.9
Angola
AGO
2,009
190.87
Angola
AGO
2,011
169.1
Angola
AGO
2,013
166.1
Angola
AGO
2,014
162.65
Benin
BEN
2,001
130.11
Benin
BEN
2,002
118.89
Benin
BEN
2,003
127.24
Benin
BEN
2,004
114.32
Benin
BEN
2,005
112.27
Benin
BEN
2,006
114.6
Benin
BEN
2,007
103.04
Benin
BEN
2,008
106.55
Benin
BEN
2,009
104.11
Benin
BEN
2,010
94
Benin
BEN
2,011
97.77
Benin
BEN
2,012
94.26
Benin
BEN
2,013
106.42
Benin
BEN
2,014
102.01
Benin
BEN
2,015
108
Benin
BEN
2,016
108
Benin
BEN
2,017
98.09
Benin
BEN
2,019
83.85
Benin
BEN
2,020
77.23
Botswana
BWA
2,001
53.3
Botswana
BWA
2,003
68
Botswana
BWA
2,006
51
Botswana
BWA
2,011
38.81
Botswana
BWA
2,012
38.65
Botswana
BWA
2,013
41.03
Botswana
BWA
2,014
35.61
Botswana
BWA
2,015
47.54
Botswana
BWA
2,016
44.09
Botswana
BWA
2,017
50
Botswana
BWA
2,018
46.58
Botswana
BWA
2,019
48.09
Burkina Faso
BFA
2,002
120.11
Burkina Faso
BFA
2,003
151.51
Burkina Faso
BFA
2,004
126.71
Burkina Faso
BFA
2,005
133.07
Burkina Faso
BFA
2,006
139.11
Burkina Faso
BFA
2,008
136.14
Burkina Faso
BFA
2,009
130.1
Burkina Faso
BFA
2,011
127.52
Burkina Faso
BFA
2,013
132
Burkina Faso
BFA
2,014
123.76
Burkina Faso
BFA
2,015
136.99
Burkina Faso
BFA
2,016
124
Burkina Faso
BFA
2,017
113.43
Burkina Faso
BFA
2,019
100.58
Burkina Faso
BFA
2,020
92.94
Burundi
BDI
2,003
86.67
Burundi
BDI
2,004
93.32
Burundi
BDI
2,006
72.28
Burundi
BDI
2,008
65.48
Burundi
BDI
2,009
85.97
Burundi
BDI
2,010
86.93
Burundi
BDI
2,011
84.52
Burundi
BDI
2,012
74.77
Burundi
BDI
2,014
63.77
Burundi
BDI
2,015
58.22
Cameroon
CMR
2,002
137.58
Cameroon
CMR
2,003
143.19
Cameroon
CMR
2,004
138.65
Cameroon
CMR
2,005
131.73
Cameroon
CMR
2,006
130.08
Cameroon
CMR
2,007
134.53
Cameroon
CMR
2,008
128.07
Cameroon
CMR
2,009
126.74
Cameroon
CMR
2,010
123.73
Cameroon
CMR
2,011
144.69
Cameroon
CMR
2,012
118.77
Cameroon
CMR
2,013
118.62
Cameroon
CMR
2,014
132.15
Cameroon
CMR
2,016
123.86
Cameroon
CMR
2,017
122.23
Cameroon
CMR
2,020
105.28
Cameroon
CMR
2,021
98.05
Cape Verde
CPV
2,006
85.13
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Adolescent Fertility 15 19 | Africa (Our World in Data)

🌍 723 observations · 54 Africa countries · 2000–2023 · Repackaged by Electric Sheep Africa

rows countries years license

TL;DR

This dataset contains 723 observations of Adolescent Fertility 15 19 data across 54 Africa countries, spanning 2000–2023.

About the source

Geographic coverage

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

Country Rows First year Last year
SYC 24 2000 2023
MUS 24 2000 2023
TUN 20 2001 2021
LSO 19 2000 2022
BEN 19 2001 2020
RWA 19 2001 2023
SEN 19 2001 2019
NGA 19 2001 2020
LBR 18 2001 2021
GIN 18 2001 2020
CMR 17 2002 2021
TZA 17 2002 2020
MDG 17 2001 2019
SLE 17 2000 2018
CIV 17 2001 2020
... 39 more countries

Schema

Column Type Description Example
country_name string Algeria
country_iso3 string DZA
year int64 2002
Adoscent birth rate float64 8.21

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-owid-adolescent-fertility-15-19")
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="Adoscent birth rate")

Citation

@misc{africa_owid_adolescent_fertility_15_19_2023,
  title        = {Adolescent Fertility 15 19 | Africa (Our World in Data)},
  author       = {Our World in Data},
  year         = {2023},
  url          = {https://ourworldindata.org/grapher/adolescent-fertility-15-19},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-owid-adolescent-fertility-15-19}}
}

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-15-19

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