indicator stringlengths 42 98 | 1992 stringclasses 4
values | 1993 stringclasses 4
values | 1994 stringclasses 4
values | 1995 stringclasses 4
values | 1997 stringclasses 4
values | 1998 stringclasses 4
values | 1999 stringclasses 4
values | 2000 stringclasses 8
values | 2001 stringclasses 5
values | 2003 stringclasses 5
values | 2004 stringclasses 5
values | 2005 stringclasses 7
values | 2006 float64 6.5 620 ⌀ | 2007 float64 6.1 992 ⌀ | 2008 float64 5.7 963 ⌀ | 2009 float64 5.4 941 ⌀ | 2010 float64 5.2 909 ⌀ | 2011 float64 4.9 888 ⌀ | 2012 float64 4.7 876 ⌀ | 2013 float64 4.5 873 ⌀ | 2014 float64 4.3 872 ⌀ | 2015 float64 22 882 ⌀ | esa_source stringclasses 1
value | esa_processed stringdate 2026-04-14 00:00:00 2026-04-14 00:00:00 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Percentage of mothers provided at least one antenatal care - Total (%) | null | null | null | null | null | null | null | null | null | null | null | null | null | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | null | HDX | 2026-04-14 |
Proportion of 1 year-old children immunised against measles (%) | 32.0 | 42.0 | 52.0 | 46.0 | 42.0 | 37.0 | 37.0 | 36.0 | 35.0 | 49.0 | 55.0 | 62.0 | 61 | 59 | 58 | 56 | 53 | 49 | 49 | 25 | null | null | HDX | 2026-04-14 |
Contraceptive use among currently married women 15-49 years old (%) | null | null | null | 14.8 | null | null | null | 27.9 | null | null | null | null | 19 | null | null | null | null | 15.2 | null | null | null | null | HDX | 2026-04-14 |
Tuberculosis treatment success rate under DOTS (%) | null | null | null | null | null | null | null | null | 54.0 | 59.0 | 88.0 | 68.0 | null | 67 | 71 | 47 | 59 | 59 | 68 | null | null | null | HDX | 2026-04-14 |
Maternal mortality ratio (per 100,000 live births) | 1,320 | 1,320 | 1,320 | 1,300 | 1,280 | 1,260 | 1,230 | 1,200 | 1,190 | 1,150 | 1,110 | 1,060 | null | 992 | 963 | 941 | 909 | 888 | 876 | 873 | 872 | 882 | HDX | 2026-04-14 |
Death rate associated with malaria per 100,000 population - Total (per 100,000 population) | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 115 | null | null | null | HDX | 2026-04-14 |
Prevalence of underweight children under-five years of age - Total (%) | null | null | null | null | null | null | null | 21.8 | null | null | null | null | 28 | null | null | null | 23.5 | null | null | null | null | null | HDX | 2026-04-14 |
Proportion of children under 5 with fever who are treated with appropriate anti-malarial drugs (%) | null | null | null | null | null | null | null | 69.0 | null | null | null | null | 57 | null | null | null | 34.1 | null | null | null | null | null | HDX | 2026-04-14 |
HIV prevalence among population aged 15-49 years old - Total (%) | null | null | null | null | null | null | null | null | null | null | null | 7.0 | 6.5 | 6.1 | 5.7 | 5.4 | 5.2 | 4.9 | 4.7 | 4.5 | 4.3 | null | HDX | 2026-04-14 |
Infant mortality rate (Per 1,000 live births) | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 103.6 | null | null | null | null | null | null | HDX | 2026-04-14 |
Tuberculosis incidence rate per year per 100,000 population - Mid-point (number) | 1,013 | 1,090 | 1,156 | null | 1,211 | 1,181 | 1,134 | null | 1,001 | 842 | 762 | null | 620 | 561 | 511 | null | 431 | 402 | 378 | 359 | null | null | HDX | 2026-04-14 |
Proportion of population using improved drinking water source - Total (%) | null | null | null | null | null | null | null | null | null | null | null | 65.0 | 65 | 66 | 66 | 67 | 67 | 68 | 68 | 68 | 68 | 69 | HDX | 2026-04-14 |
Tuberculosis prevalence rate per 100,000 population - Upper bound (number) | 2,989 | 3,027 | 3,013 | 2,935 | 2,635 | 2,464 | 2,305 | 2,149 | 1,982 | 1,653 | 1,493 | 1,350 | null | null | null | 922 | 826 | 758 | 705 | 670 | null | null | HDX | 2026-04-14 |
Proportion of population with advanced HIV infection with access to antiretroviral drugs (%) | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 23.1 | 23.5 | 22.3 | null | null | null | null | HDX | 2026-04-14 |
Women 15-24 years old with comprehensive correct knowledge of HIV/AIDS (%) | null | null | null | null | null | null | null | 5.0 | null | null | null | null | null | null | null | null | 17.4 | null | null | null | null | null | HDX | 2026-04-14 |
Neo-natal mortality (Per 1,000 live births) | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 43 | HDX | 2026-04-14 |
Prevalence of undernourishment - Total (%) | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 47.7 | 47.7 | HDX | 2026-04-14 |
Proportion of children under 5 sleeping under insecticide-treated bednets (%) | null | null | null | null | null | null | null | 2.0 | null | null | null | null | 15 | null | null | null | 36.4 | null | null | null | null | null | HDX | 2026-04-14 |
Proportion of the population using improved sanitation facilities - Total (%) | null | null | null | null | null | null | null | null | null | null | null | 19.0 | 19 | 20 | 20 | 20 | 21 | 21 | 22 | 22 | 22 | 22 | HDX | 2026-04-14 |
Men 15-24 years old with comprehensive correct knowledge of HIV/AIDS (%) | null | null | null | null | null | null | null | null | null | null | null | null | 26.1 | null | null | null | 25 | null | null | null | null | null | HDX | 2026-04-14 |
CENTRAL AFRICAN REPUBLIC - Health indicators, UNECA
Publisher: United Nations Economic Commission for Africa · Source: HDX · License: cc-by-igo · Updated: 2024-09-13
Abstract
This dataset contains many health indicators such as Infant mortality rate, Proportion of population with advanced HIV infection with access to antiretroviral drugs, Death rate associated with malaria per 100,000 population, Tuberculosis prevalence rate per 100,000 population, etc. The whole list and their description can be find in this link https://bit.ly/2NZBRH3
Each row in this dataset represents tabular records. Data was last updated on HDX on 2024-09-13. Geographic scope: CAF.
Curated into ML-ready Parquet format by Electric Sheep Africa.
Dataset Characteristics
| Domain | Public health |
| Unit of observation | Tabular records |
| Rows (total) | 25 |
| Columns | 25 (10 numeric, 15 categorical, 0 datetime) |
| Train split | 20 rows |
| Test split | 5 rows |
| Geographic scope | CAF |
| Publisher | United Nations Economic Commission for Africa |
| HDX last updated | 2024-09-13 |
Variables
Identifier / Metadata — esa_source, esa_processed.
Other — indicator (Prevalence of undernourishment - Total (%), Condom use to overall contraceptive use among currently married women 15-49 years old (%), Proportion of children under 5 sleeping under insecticide-treated bednets (%)), 1992 (1,320, 32.0, 47.6), 1993 (1,320, 42.0, 48.4), 1994 (1,320, 52.0, 49.2), 1995 (6.8, 14.8, 1,300) and 18 others.
Quick Start
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-central-african-republic-uneca-health")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()
print(train.shape)
train.head()
Schema
| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
indicator |
object | 0.0% | Prevalence of undernourishment - Total (%), Condom use to overall contraceptive use among currently married women 15-49 years old (%), Proportion of children under 5 sleeping under insecticide-treated bednets (%) |
1992 |
object | 80.0% | 1,320, 32.0, 47.6 |
1993 |
object | 80.0% | 1,320, 42.0, 48.4 |
1994 |
object | 80.0% | 1,320, 52.0, 49.2 |
1995 |
object | 76.0% | 6.8, 14.8, 1,300 |
1997 |
object | 80.0% | 1,280, 42.0, 48.2 |
1998 |
object | 80.0% | 1,260, 37.0, 46.8 |
1999 |
object | 80.0% | 1,230, 37.0, 45.0 |
2000 |
object | 48.0% | 21.8, 44.1, 3.2 |
2001 |
object | 80.0% | 1,190, 35.0, 1,001 |
2003 |
object | 76.0% | |
2004 |
object | 80.0% | |
2005 |
object | 64.0% | |
2006 |
float64 | 40.0% | 6.5 – 620.0 (mean 80.7333) |
2007 |
float64 | 56.0% | 6.1 – 992.0 (mean 188.0273) |
2008 |
float64 | 56.0% | 5.7 – 963.0 (mean 180.4364) |
2009 |
float64 | 48.0% | 5.4 – 941.0 (mean 189.8308) |
2010 |
float64 | 24.0% | 5.2 – 909.0 (mean 148.9842) |
2011 |
float64 | 40.0% | 4.9 – 888.0 (mean 171.5267) |
2012 |
float64 | 48.0% | 4.7 – 876.0 (mean 199.4923) |
2013 |
float64 | 56.0% | 4.5 – 873.0 (mean 212.4727) |
2014 |
float64 | 72.0% | 4.3 – 872.0 (mean 159.0714) |
2015 |
float64 | 76.0% | 22.0 – 882.0 (mean 185.2333) |
esa_source |
object | 0.0% | |
esa_processed |
object | 0.0% |
Numeric Summary
| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
2006 |
6.5 | 620.0 | 80.7333 | 28.0 |
2007 |
6.1 | 992.0 | 188.0273 | 59.0 |
2008 |
5.7 | 963.0 | 180.4364 | 58.0 |
2009 |
5.4 | 941.0 | 189.8308 | 55.0 |
2010 |
5.2 | 909.0 | 148.9842 | 34.4 |
2011 |
4.9 | 888.0 | 171.5267 | 49.0 |
2012 |
4.7 | 876.0 | 199.4923 | 68.0 |
2013 |
4.5 | 873.0 | 212.4727 | 68.0 |
2014 |
4.3 | 872.0 | 159.0714 | 47.7 |
2015 |
22.0 | 882.0 | 185.2333 | 47.7 |
Curation
Raw data was downloaded from HDX via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snake_case. Common missing-value markers (N/A, null, none, -, unknown, no data, #N/A) were unified to NaN. 6 column(s) with >80% missing values were removed: 1990, 1991, 1996, 2002, 2016, 2017. 3 column(s) were cast from string to numeric or datetime based on parse-success rate (>85% threshold). The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet.
Limitations
- Data originates from United Nations Economic Commission for Africa and has not been independently validated by ESA.
- Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
- The following columns have >20% missing values and should be treated with caution in modelling:
1992,1993,1994,1995,1997,1998,1999,2000.... - Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.
Citation
@dataset{hdx_africa_central_african_republic_uneca_health,
title = {CENTRAL AFRICAN REPUBLIC - Health indicators, UNECA},
author = {United Nations Economic Commission for Africa},
year = {2024},
url = {https://data.humdata.org/dataset/central-african-republic-uneca-health},
note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}
Electric Sheep Africa — Africa's ML dataset infrastructure. Lagos, Nigeria.
- Downloads last month
- 7