admin0name_fr string | admin0pcode string | admin0refname string | f_00_04 int64 | m_00_04 int64 | f_05_19 int64 | m_05_19 int64 | f_adulte int64 | m_adulte int64 | f_agee int64 | m_agee int64 | t_00_04 int64 | t_05_19 int64 | t_adulte int64 | t_agee int64 | f_tl int64 | m_tl int64 | t_tl int64 | esa_source string | esa_processed string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
République démocratique du Congo (la) | CD | Republique democratique du Congo (la) | 9,853,646 | 10,147,364 | 19,705,741 | 20,293,436 | 20,505,508 | 19,920,596 | 1,544,393 | 1,303,085 | 20,001,010 | 39,999,177 | 40,426,104 | 2,847,478 | 52,367,665 | 50,831,693 | 103,199,358 | HDX | 2026-04-04 |
Democratic Republic of the Congo - Subnational Population Statistics
Publisher: OCHA Democratic Republic of the Congo (DRC) · Source: HDX · License: cc-by-igo · Updated: 2025-12-31
Abstract
Democratic Republic of the Congo administrative level 0 (country), 1 (province), 2 (district) sex and age disaggregated population statistics by year. These tables are suitable for database or GIS linkage to the RDC - Administrative Boundaries (levels 0 - 2).
For year 2019 and 2020, please see caveats.
Each row in this dataset represents tabular records. Data was last updated on HDX on 2025-12-31. Geographic scope: COD.
Curated into ML-ready Parquet format by Electric Sheep Africa.
Dataset Characteristics
| Domain | Demographics and population |
| Unit of observation | Tabular records |
| Rows (total) | 1 |
| Columns | 20 (15 numeric, 5 categorical, 0 datetime) |
| Train split | 0 rows |
| Test split | 0 rows |
| Geographic scope | COD |
| Publisher | OCHA Democratic Republic of the Congo (DRC) |
| HDX last updated | 2025-12-31 |
Variables
Geographic — admin0name_fr (République démocratique du Congo (la)), admin0pcode (CD), admin0refname (Republique democratique du Congo (la)).
Demographic — f_agee (range 1544393.0–1544393.0), m_agee (range 1303085.0–1303085.0), t_agee (range 2847478.0–2847478.0).
Identifier / Metadata — esa_source (HDX), esa_processed (2026-04-04).
Other — f_00_04 (range 9853646.0–9853646.0), m_00_04 (range 10147364.0–10147364.0), f_05_19 (range 19705741.0–19705741.0), m_05_19 (range 20293436.0–20293436.0), f_adulte (range 20505508.0–20505508.0) and 7 others.
Quick Start
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-cod-ps-cod")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()
print(train.shape)
train.head()
Schema
| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
admin0name_fr |
object | 0.0% | République démocratique du Congo (la) |
admin0pcode |
object | 0.0% | CD |
admin0refname |
object | 0.0% | Republique democratique du Congo (la) |
f_00_04 |
int64 | 0.0% | 9853646.0 – 9853646.0 (mean 9853646.0) |
m_00_04 |
int64 | 0.0% | 10147364.0 – 10147364.0 (mean 10147364.0) |
f_05_19 |
int64 | 0.0% | 19705741.0 – 19705741.0 (mean 19705741.0) |
m_05_19 |
int64 | 0.0% | 20293436.0 – 20293436.0 (mean 20293436.0) |
f_adulte |
int64 | 0.0% | 20505508.0 – 20505508.0 (mean 20505508.0) |
m_adulte |
int64 | 0.0% | 19920596.0 – 19920596.0 (mean 19920596.0) |
f_agee |
int64 | 0.0% | 1544393.0 – 1544393.0 (mean 1544393.0) |
m_agee |
int64 | 0.0% | 1303085.0 – 1303085.0 (mean 1303085.0) |
t_00_04 |
int64 | 0.0% | 20001010.0 – 20001010.0 (mean 20001010.0) |
t_05_19 |
int64 | 0.0% | 39999177.0 – 39999177.0 (mean 39999177.0) |
t_adulte |
int64 | 0.0% | 40426104.0 – 40426104.0 (mean 40426104.0) |
t_agee |
int64 | 0.0% | 2847478.0 – 2847478.0 (mean 2847478.0) |
f_tl |
int64 | 0.0% | 52367665.0 – 52367665.0 (mean 52367665.0) |
m_tl |
int64 | 0.0% | 50831693.0 – 50831693.0 (mean 50831693.0) |
t_tl |
int64 | 0.0% | 103199358.0 – 103199358.0 (mean 103199358.0) |
esa_source |
object | 0.0% | HDX |
esa_processed |
object | 0.0% | 2026-04-04 |
Numeric Summary
| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
f_00_04 |
9853646.0 | 9853646.0 | 9853646.0 | 9853646.0 |
m_00_04 |
10147364.0 | 10147364.0 | 10147364.0 | 10147364.0 |
f_05_19 |
19705741.0 | 19705741.0 | 19705741.0 | 19705741.0 |
m_05_19 |
20293436.0 | 20293436.0 | 20293436.0 | 20293436.0 |
f_adulte |
20505508.0 | 20505508.0 | 20505508.0 | 20505508.0 |
m_adulte |
19920596.0 | 19920596.0 | 19920596.0 | 19920596.0 |
f_agee |
1544393.0 | 1544393.0 | 1544393.0 | 1544393.0 |
m_agee |
1303085.0 | 1303085.0 | 1303085.0 | 1303085.0 |
t_00_04 |
20001010.0 | 20001010.0 | 20001010.0 | 20001010.0 |
t_05_19 |
39999177.0 | 39999177.0 | 39999177.0 | 39999177.0 |
t_adulte |
40426104.0 | 40426104.0 | 40426104.0 | 40426104.0 |
t_agee |
2847478.0 | 2847478.0 | 2847478.0 | 2847478.0 |
f_tl |
52367665.0 | 52367665.0 | 52367665.0 | 52367665.0 |
m_tl |
50831693.0 | 50831693.0 | 50831693.0 | 50831693.0 |
t_tl |
103199358.0 | 103199358.0 | 103199358.0 | 103199358.0 |
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. 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 OCHA Democratic Republic of the Congo (DRC) and has not been independently validated by ESA.
- Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
- Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.
Citation
@dataset{hdx_africa_cod_ps_cod,
title = {Democratic Republic of the Congo - Subnational Population Statistics},
author = {OCHA Democratic Republic of the Congo (DRC)},
year = {2025},
url = {https://data.humdata.org/dataset/cod-ps-cod},
note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}
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