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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) | Africa (Electric Sheep Africa metadata inventory)

Size category: n<1K - Formats: parquet - Sector: other_unclassified - Engineered by Electric Sheep Africa

size sector downloads license

TL;DR

This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.

What This Dataset Covers

Public datasets help analysts inspect structured evidence, build reproducible workflows, and compare patterns across domains.

Dataset context from the existing Hugging Face card: Adolescent Fertility 15 19 | Africa (Our World in Data) 🌍 723 observations · 54 Africa countries · 2000–2023 · Repackaged by Electric Sheep Africa TL;DR This dataset contains 723 observations of Adolescent Fertility 15 19 data across 54 Africa countries, spanning 2000–2023. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Adolescent Fertility 15 19 Geographic coverage 54 Africa… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-owid-adolescent-fertility-15-19.

Dataset Profile

Field Value
Hugging Face repo electricsheepafrica/africa-owid-adolescent-fertility-15-19
Sector other_unclassified
Topic tags tabular, our-world-in-data, adolescent-fertility-15-19, owid, long-run-series, time-series
Modalities tabular, text
Formats parquet
Size category n<1K
Countries Africa-wide or source-defined African coverage
ISO3 coverage not declared
Last modified on HF 2026-06-01 18:35:20+00:00
Inventory snapshot 2026-07-16T16:00:34Z

How To Read This Dataset

  • Start from the repository files and the dataset viewer when available.
  • Treat the README context as a fast orientation layer; confirm variable definitions and units in the data files before modeling.
  • Use explicit country columns when present. When geography is only implied by the title or source metadata, document that assumption in downstream analysis.
  • Preserve missing values until you have a defensible imputation rule.

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-owid-adolescent-fertility-15-19")
print(ds)

split_name = next(iter(ds))
table = ds[split_name]
print(table.features)
print(table[:3])

Convert To Pandas When Tabular

from datasets import Dataset

first_split = ds[next(iter(ds))]
if isinstance(first_split, Dataset):
    df = first_split.to_pandas()
    print(df.head())

Data Quality Notes

  • This card was standardized from the Electric Sheep Africa Hugging Face metadata inventory.
  • Exact schema, row counts, and source files should be inspected in the repository data files.
  • Metadata gaps from the inventory: country, sector, upstream_publisher.
  • Do not infer policy meaning from labels alone; confirm definitions, units, and methods in the source material.

Source And Provenance

Suggested Analyses

  • Inspect schema and missingness before modeling.
  • Profile variables by geography, time, and subgroup columns where present.
  • Join with other Electric Sheep Africa datasets using explicit country, year, and indicator fields when available.
  • Build reproducible notebooks that cite both the original source context and the Electric Sheep Africa Hugging Face repo.

Citation

@misc{electric_sheep_africa_africa_owid_adolescent_fertility_15_19_2026,
  title        = {Adolescent Fertility 15 19 | Africa (Our World in Data) | Africa (Electric Sheep Africa metadata inventory)},
  author       = {Public dataset metadata},
  year         = {2026},
  url          = {https://huggingface.co/datasets/electricsheepafrica/africa-owid-adolescent-fertility-15-19},
  publisher    = {Hugging Face Datasets, engineered 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 source rights remain with the original publisher or data provider. Electric Sheep Africa engineering standardizes discovery metadata, documentation, and usage guidance for analysis on Hugging Face.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.


Provenance: metadata-backed README standardized 2026-08-12 by the Electric Sheep Africa README system. Inventory source: catalog/esa_metadata_inventory/master_metadata.jsonl.

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