electricsheepafrica/africa-unsom-sgrunpresence

Peace and Security Pillar: UN Presence in Somalia, Data From Secretary General Reports

Publisher: United Nations Peace and Security Data Hub · Source: HDX · License: cc-by-igo · Updated: 2026-04-09

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Abstract

This dataset was last updated in April 2023 and will no longer receive updates. Historical data remains available for reference.

This dataset is an extraction of information from the Secretary General's Report on the situation in Somalia (SG reports) since 2013. It provides the number of UN personnel, including international and national, in the country.

Each row in this dataset represents country-level aggregates. Temporal coverage is indicated by the date, last_update column(s). Geographic scope: SOM.

Curated into ML-ready Parquet format by Electric Sheep Africa.

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Dataset Characteristics

Domain	Conflict and security
Unit of observation	Country-level aggregates
Rows (total)	28
Columns	11 (3 numeric, 6 categorical, 2 datetime)
Train split	22 rows
Test split	5 rows
Geographic scope	SOM
Publisher	United Nations Peace and Security Data Hub
HDX last updated	2026-04-09

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Variables

Geographic — country_or_area (range 706.0–706.0).

Temporal — date, last_update.

Outcome / Measurement — number_of_un_international_staff (range 152.0–783.0), number_of_un_national_staff (range 75.0–1556.0).

Identifier / Metadata — id (Somalia), m49_code (SOM), source (S/2023/109, S/2022/665, S/2013/709), esa_source (HDX), esa_processed (2026-04-09).

Other — narratives (United Nations entities remained present in Baidoa, Beledweyne, Berbera, Boosaaso, Dhooble, Dhuusamarreeb, Doolow, Gaalkacyo, Garoowe, Hargeysa, Jawhar, Kismaayo and Mogadishu. As at 7 February, 783 international staff and 1,556 national staff were deployed throughout Somalia., United Nations entities remained present in Baidoa, Beledweyne, Berbera, Boosaaso, Dhooble, Dhuusamarreeb, Doolow, Gaalkacyo, Garoowe, Hargeysa, Jawhar, Kismaayo and Mogadishu. As at 23 August, 630 international staff and 1,361 national staff were deployed throughout Somalia., As at 7 November, a total of 329 international staff members from UNSOM and United Nations agencies, funds and programmes were deployed in Somalia.).

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-unsom-sgrunpresence")
train = ds["train"].to_pandas()
test  = ds["test"].to_pandas()

print(train.shape)
train.head()

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Schema

Column	Type	Null %	Range / Sample Values
id	object	0.0%	Somalia
country_or_area	float64	10.7%	706.0 – 706.0 (mean 706.0)
m49_code	object	0.0%	SOM
date	datetime64[ns]	0.0%
number_of_un_international_staff	float64	0.0%	152.0 – 783.0 (mean 459.0714)
number_of_un_national_staff	float64	7.1%	75.0 – 1556.0 (mean 1183.1923)
narratives	object	0.0%	United Nations entities remained present in Baidoa, Beledweyne, Berbera, Boosaaso, Dhooble, Dhuusamarreeb, Doolow, Gaalkacyo, Garoowe, Hargeysa, Jawhar, Kismaayo and Mogadishu. As at 7 February, 783 international staff and 1,556 national staff were deployed throughout Somalia., United Nations entities remained present in Baidoa, Beledweyne, Berbera, Boosaaso, Dhooble, Dhuusamarreeb, Doolow, Gaalkacyo, Garoowe, Hargeysa, Jawhar, Kismaayo and Mogadishu. As at 23 August, 630 international staff and 1,361 national staff were deployed throughout Somalia., As at 7 November, a total of 329 international staff members from UNSOM and United Nations agencies, funds and programmes were deployed in Somalia.
source	object	0.0%	S/2023/109, S/2022/665, S/2013/709
last_update	datetime64[ns]	0.0%
esa_source	object	0.0%	HDX
esa_processed	object	0.0%	2026-04-09

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Numeric Summary

Column	Min	Max	Mean	Median
country_or_area	706.0	706.0	706.0	706.0
number_of_un_international_staff	152.0	783.0	459.0714	419.0
number_of_un_national_staff	75.0	1556.0	1183.1923	1264.0

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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. 2 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.

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Limitations

• Data originates from United Nations Peace and Security Data Hub 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.

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Citation

@dataset{hdx_africa_unsom_sgrunpresence,
  title     = {Peace and Security Pillar: UN Presence in Somalia, Data From Secretary General Reports},
  author    = {United Nations Peace and Security Data Hub},
  year      = {2026},
  url       = {https://data.humdata.org/dataset/unsom-sgrunpresence},
  note      = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

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Electric Sheep Africa — Africa's ML dataset infrastructure. Lagos, Nigeria.