mali_evolution_du_nombre_de_réfugiés_depuis_septembre_2012 stringlengths 16 22 | esa_source stringclasses 1
value | esa_processed stringdate 2026-04-06 00:00:00 2026-04-06 00:00:00 |
|---|---|---|
Septembre 2014;143 253 | HDX | 2026-04-06 |
Janvier 2014;160 272 | HDX | 2026-04-06 |
Mai 2013;169 147 | HDX | 2026-04-06 |
Décembre 2013;160 272 | HDX | 2026-04-06 |
Septembre 2013;163 556 | HDX | 2026-04-06 |
Mai 2015;135 686 | HDX | 2026-04-06 |
Juin 2013;168 913 | HDX | 2026-04-06 |
Avril 2014;141 274 | HDX | 2026-04-06 |
Septembre 2012;110 963 | HDX | 2026-04-06 |
Avril 2015;137 502 | HDX | 2026-04-06 |
Février 2013;156 824 | HDX | 2026-04-06 |
Août 2013;163 326 | HDX | 2026-04-06 |
Octobre 2012;111 719 | HDX | 2026-04-06 |
Décembre 2014;136 000 | HDX | 2026-04-06 |
Juin 2014;137 202 | HDX | 2026-04-06 |
Novembre 2012;116 771 | HDX | 2026-04-06 |
Novembre 2015;139502 | HDX | 2026-04-06 |
Juillet 2015;137 789 | HDX | 2026-04-06 |
Décembre 2012;122 328 | HDX | 2026-04-06 |
Juin 2015;136 733 | HDX | 2026-04-06 |
Août 2014;140 033 | HDX | 2026-04-06 |
Mars 2015;136 712 | HDX | 2026-04-06 |
Juillet 2013;168 911 | HDX | 2026-04-06 |
Juillet 2014;140 033 | HDX | 2026-04-06 |
Mars 2014;142 969 | HDX | 2026-04-06 |
Mai 2014;137 202 | HDX | 2026-04-06 |
Avril 2013;167 676 | HDX | 2026-04-06 |
Novembre 2013;160 078 | HDX | 2026-04-06 |
Janvier 2015;133 313 | HDX | 2026-04-06 |
Evolution of Malian refugees since September 2012
Publisher: OCHA Mali · Source: HDX · License: cc-by-igo · Updated: 2023-08-14
Abstract
This excel spreadsheet compiles the data of the number of malian refugees in Mauritania, Niger and Burkina Faso from September 2012 - December 2014. The data source is UNHCR's data portal for the Sahel: http://data.unhcr.org/SahelSituation/country.php?id=501
Each row in this dataset represents tabular records. Data was last updated on HDX on 2023-08-14. Geographic scope: MLI.
Curated into ML-ready Parquet format by Electric Sheep Africa.
Dataset Characteristics
| Domain | Conflict and security |
| Unit of observation | Tabular records |
| Rows (total) | 37 |
| Columns | 3 (0 numeric, 3 categorical, 0 datetime) |
| Train split | 29 rows |
| Test split | 7 rows |
| Geographic scope | MLI |
| Publisher | OCHA Mali |
| HDX last updated | 2023-08-14 |
Variables
Identifier / Metadata — esa_source (HDX), esa_processed (2026-04-06).
Other — mali_evolution_du_nombre_de_réfugiés_depuis_septembre_2012 (Septembre 2012;110 963, Avril 2014;141 274, Juin 2014;137 202).
Quick Start
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-evolution-of-malian-refugees-since-september-2012")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()
print(train.shape)
train.head()
Schema
| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
mali_evolution_du_nombre_de_réfugiés_depuis_septembre_2012 |
object | 0.0% | Septembre 2012;110 963, Avril 2014;141 274, Juin 2014;137 202 |
esa_source |
object | 0.0% | HDX |
esa_processed |
object | 0.0% | 2026-04-06 |
Numeric Summary
| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| No numeric columns. |
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 Mali 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_evolution_of_malian_refugees_since_september_2012,
title = {Evolution of Malian refugees since September 2012},
author = {OCHA Mali},
year = {2023},
url = {https://data.humdata.org/dataset/evolution-of-malian-refugees-since-september-2012},
note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}
Electric Sheep Africa — Africa's ML dataset infrastructure. Lagos, Nigeria.
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