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2026-04-07 00:00:00
2026-04-07 00:00:00
Federal Republic of Somalia
SOM
2,006
Mosquito net use by children (insecticide-treated net) (% of children under 5): Q1 (lowest)
SH.MLR.NETS.Q1.ZS
2.4
HDX
2026-04-07
Federal Republic of Somalia
SOM
2,007
Status under enhanced HIPC initiative
DT.HPC.STTS
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HDX
2026-04-07
Federal Republic of Somalia
SOM
2,004
Status under enhanced HIPC initiative
DT.HPC.STTS
4
HDX
2026-04-07
Federal Republic of Somalia
SOM
2,010
Status under enhanced HIPC initiative
DT.HPC.STTS
3
HDX
2026-04-07
Federal Republic of Somalia
SOM
2,011
Status under enhanced HIPC initiative
DT.HPC.STTS
3
HDX
2026-04-07
Federal Republic of Somalia
SOM
2,006
Mosquito net use by children (insecticide-treated net) (% of children under 5): Q5 (highest)
SH.MLR.NETS.Q5.ZS
16.5
HDX
2026-04-07
Federal Republic of Somalia
SOM
2,008
Status under enhanced HIPC initiative
DT.HPC.STTS
3
HDX
2026-04-07
Federal Republic of Somalia
SOM
2,005
Status under enhanced HIPC initiative
DT.HPC.STTS
4
HDX
2026-04-07
Federal Republic of Somalia
SOM
2,002
Status under enhanced HIPC initiative
DT.HPC.STTS
4
HDX
2026-04-07
Federal Republic of Somalia
SOM
2,000
Status under enhanced HIPC initiative
DT.HPC.STTS
4
HDX
2026-04-07
Federal Republic of Somalia
SOM
2,009
Status under enhanced HIPC initiative
DT.HPC.STTS
3
HDX
2026-04-07
Federal Republic of Somalia
SOM
2,006
Status under enhanced HIPC initiative
DT.HPC.STTS
3
HDX
2026-04-07

Federal Republic of Somalia - Millenium development goals

Publisher: World Bank Group · Source: HDX · License: cc-by · Updated: 2025-11-04


Abstract

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

Each row in this dataset represents country-level aggregates. Data was last updated on HDX on 2025-11-04. Geographic scope: SOM.

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


Dataset Characteristics

Domain Humanitarian and development data
Unit of observation Country-level aggregates
Rows (total) 15
Columns 8 (2 numeric, 6 categorical, 0 datetime)
Train split 12 rows
Test split 3 rows
Geographic scope SOM
Publisher World Bank Group
HDX last updated 2025-11-04

Variables

Geographiccountry_name (Federal Republic of Somalia, #country+name), country_iso3 (SOM, #country+code), year (range 2000.0–2011.0).

Outcome / Measurementvalue (range 2.4–16.5).

Identifier / Metadataindicator_name (Status under enhanced HIPC initiative, #indicator+name, Mosquito net use by children (insecticide-treated net) (% of children under 5): Q1 (lowest)), indicator_code (DT.HPC.STTS, #indicator+code, SH.MLR.NETS.Q1.ZS), esa_source (HDX), esa_processed (2026-04-07).


Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-world-bank-millenium-development-goals-indicators-for-federal-republic-of-somalia")
train = ds["train"].to_pandas()
test  = ds["test"].to_pandas()

print(train.shape)
train.head()

Schema

Column Type Null % Range / Sample Values
country_name object 0.0% Federal Republic of Somalia, #country+name
country_iso3 object 0.0% SOM, #country+code
year float64 6.7% 2000.0 – 2011.0 (mean 2005.5714)
indicator_name object 0.0% Status under enhanced HIPC initiative, #indicator+name, Mosquito net use by children (insecticide-treated net) (% of children under 5): Q1 (lowest)
indicator_code object 0.0% DT.HPC.STTS, #indicator+code, SH.MLR.NETS.Q1.ZS
value float64 6.7% 2.4 – 16.5 (mean 4.35)
esa_source object 0.0% HDX
esa_processed object 0.0% 2026-04-07

Numeric Summary

Column Min Max Mean Median
year 2000.0 2011.0 2005.5714 2006.0
value 2.4 16.5 4.35 3.5

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.


Limitations

  • Data originates from World Bank Group 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_world_bank_millenium_development_goals_indicators_for_federal_republic_of_somalia,
  title     = {Federal Republic of Somalia - Millenium development goals},
  author    = {World Bank Group},
  year      = {2025},
  url       = {https://data.humdata.org/dataset/world-bank-millenium-development-goals-indicators-for-federal-republic-of-somalia},
  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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