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2000
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66.8
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0.6
77.9
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3.3
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100
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81.3
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0.1
80.1
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esa_source
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2026-04-14 00:00:00
2026-04-14 00:00:00
Gross enrolment ratio in secondary - Female (%)
null
8.1
null
null
null
9.2
9.8
9.3
12.6
11.8
HDX
2026-04-14
Ratio of girls to boys in secondary education (ratio)
null
null
null
null
null
0.6
0.6
0.6
0.6
0.5
HDX
2026-04-14
Gross graduation Ratio from Primary education - Female (%)
null
null
null
null
null
null
null
null
null
19.1
HDX
2026-04-14
Net enrolment rate in primary education - Female (%)
null
null
49.5
49.8
58.4
67.8
68.3
70.8
68.7
71.9
HDX
2026-04-14
Gross enrolment ratio in teritiary - Female (%)
0.6
null
null
0.5
null
1.2
1.5
1.2
null
1.5
HDX
2026-04-14
Literacy rates of 15-24 years old - Total (%)
null
null
null
null
null
null
null
36.4
null
null
HDX
2026-04-14
School life Expectancy in Secondary - Female (years)
null
0.6
null
null
null
null
0.7
null
0.9
0.9
HDX
2026-04-14
Mean years of schooling (years)
2.9
null
3.3
null
null
null
null
4.2
4.2
4.2
HDX
2026-04-14
School life Expectancy in Tertiary - Female (years)
0
null
null
0
null
0.1
0.1
0.1
null
0.1
HDX
2026-04-14
School life Expectancy in Secondary - Total (years)
null
0.8
null
null
null
null
1
null
1.3
1.3
HDX
2026-04-14
Adult literacy rate - Female (%)
35.3
null
null
null
null
null
null
24.4
null
null
HDX
2026-04-14
Ratio of girls to boys in tertiary education (ratio)
null
null
null
0.3
null
0.4
0.4
0.3
null
0.4
HDX
2026-04-14
Gross enrolment ratio in primary - Total (%)
null
77.9
65
64.8
75
86.8
88.9
91.8
null
null
HDX
2026-04-14
Gross enrolment ratio in teritiary - Total (%)
1.9
null
null
1.1
null
2.3
2.5
2.6
3.1
2.8
HDX
2026-04-14
Adult literacy rate - Male (%)
66.8
null
null
null
null
null
null
50.7
null
null
HDX
2026-04-14
School life Expectancy in Primary - Male (years)
null
5.6
4.8
4.8
5.5
6.3
6.4
6.6
6.6
6.6
HDX
2026-04-14
Net enrolment rate in secondary education - Total (%)
null
null
null
null
null
null
10.8
null
14.3
13.9
HDX
2026-04-14
Adult literacy rate - Total (%)
50.7
null
null
null
null
null
null
36.8
null
null
HDX
2026-04-14
School life Expectancy in Primary - Total (years)
null
4.7
4
4
4.6
5.3
5.5
5.6
5.7
5.7
HDX
2026-04-14
School life Expectancy in Tertiary - Total (years)
0.1
null
null
0.1
null
0.1
0.1
0.1
0.2
0.1
HDX
2026-04-14
Gross enrolment ratio in primary - Female (%)
null
63.3
53.1
52.8
61.7
71.9
73.8
76.4
77.9
79.8
HDX
2026-04-14
School life Expectancy in Tertiary - Male (years)
0.2
null
null
0.1
null
0.2
0.2
0.2
null
0.2
HDX
2026-04-14
Pupil-teacher ratio, secondary education - Total (rate)
null
null
null
null
null
null
80.1
null
66.8
68.1
HDX
2026-04-14
School life Expectancy in Secondary - Male (years)
null
1.1
null
null
null
null
1.3
null
1.7
1.7
HDX
2026-04-14
Gross enrolment ratio in teritiary - Male (%)
3.2
null
null
1.8
null
3.4
3.4
3.9
null
4.1
HDX
2026-04-14
Pupil-teacher ratio, primary education - Total (rate)
null
null
88.6
null
null
100.2
94.6
84.3
81.3
80.1
HDX
2026-04-14
Net enrolment rate in primary education - Total (%)
null
null
48.4
48.7
57.1
66.3
66.9
69.3
67.4
70.6
HDX
2026-04-14
Net enrolment rate in secondary education - Male (%)
null
null
null
null
null
null
13.3
null
17.9
17.9
HDX
2026-04-14
Gross enrolment ratio in secondary - Male (%)
null
15.6
null
null
null
16.2
17.7
16
23
23
HDX
2026-04-14
Gross graduation Ratio from Primary education - Total (%)
null
null
null
null
null
null
null
null
null
23.3
HDX
2026-04-14
Ratio of school attendance rate of orphans to school attendance rate of non orphans (%)
null
null
null
1
null
null
null
0.9
null
null
HDX
2026-04-14
Survival Rate to the last grade in Primary - Female (%)
null
null
null
null
null
40.7
38.9
43.9
45.4
null
HDX
2026-04-14

CENTRAL AFRICAN REPUBLIC - Education indicators, UNECA | Africa (original)

Size category: n<1K - Formats: parquet - Sector: education - 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

Education datasets help researchers study access, participation, attainment, learning systems, staffing, and infrastructure.

Dataset context from the existing Hugging Face card: CENTRAL AFRICAN REPUBLIC - Education indicators, UNECA Publisher: United Nations Economic Commission for Africa · Source: HDX · License: cc-by-igo · Updated: 2024-09-13 Abstract This dataset contains many indicators in education such as as Net enrolment rate in primary education, Ratio of girls to boys in primary education, etc. The whole list and their description can be find in this link https://bit.ly/2NWP6Z1 Each row in this dataset represents tabular records. Data… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-central-african-republic-uneca-education.

Dataset Profile

Field Value
Hugging Face repo electricsheepafrica/africa-central-african-republic-uneca-education
Sector education
Topic tags humanitarian, hdx, electric-sheep-africa, education, indicators, literacy, caf
Modalities tabular, text
Formats parquet
Size category n<1K
Countries Central African Republic
ISO3 coverage CAF
Last modified on HF 2026-04-14 09:40:20+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-central-african-republic-uneca-education")
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: 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_central_african_republic_uneca_education_2026,
  title        = {CENTRAL AFRICAN REPUBLIC - Education indicators, UNECA | Africa (original)},
  author       = {original},
  year         = {2026},
  url          = {https://huggingface.co/datasets/electricsheepafrica/africa-central-african-republic-uneca-education},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-central-african-republic-uneca-education}}
}

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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