electricsheepafrica/africa-world-bank-millenium-development-goals-indicators-for-tanzania

Tanzania - Millenium development goals

Publisher: World Bank Group · Source: HDX · License: cc-by · Updated: 2026-03-27

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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 2026-03-27. Geographic scope: TZA.

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

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Dataset Characteristics

Domain	Humanitarian and development data
Unit of observation	Country-level aggregates
Rows (total)	27
Columns	8 (2 numeric, 6 categorical, 0 datetime)
Train split	21 rows
Test split	5 rows
Geographic scope	TZA
Publisher	World Bank Group
HDX last updated	2026-03-27

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Variables

Geographic — country_name (Tanzania), country_iso3 (TZA), year (range 2000.0–2017.0).

Outcome / Measurement — value (range 1.0–5760577133.7304).

Identifier / Metadata — indicator_name (Status under enhanced HIPC initiative, Mosquito net use by children (insecticide-treated net) (% of children under 5): Q1 (lowest), Mosquito net use by children (insecticide-treated net) (% of children under 5): Q5 (highest)), indicator_code (DT.HPC.STTS, SH.MLR.NETS.Q1.ZS, SH.MLR.NETS.Q5.ZS), esa_source (HDX), esa_processed (2026-04-12).

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-world-bank-millenium-development-goals-indicators-for-tanzania")
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
country_name	object	0.0%	Tanzania
country_iso3	object	0.0%	TZA
year	int64	0.0%	2000.0 – 2017.0 (mean 2008.8148)
indicator_name	object	0.0%	Status under enhanced HIPC initiative, Mosquito net use by children (insecticide-treated net) (% of children under 5): Q1 (lowest), Mosquito net use by children (insecticide-treated net) (% of children under 5): Q5 (highest)
indicator_code	object	0.0%	DT.HPC.STTS, SH.MLR.NETS.Q1.ZS, SH.MLR.NETS.Q5.ZS
value	float64	0.0%	1.0 – 5760577133.7304 (mean 426709440.3985)
esa_source	object	0.0%	HDX
esa_processed	object	0.0%	2026-04-12

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Numeric Summary

Column	Min	Max	Mean	Median
year	2000.0	2017.0	2008.8148	2009.0
value	1.0	5760577133.7304	426709440.3985	12.9

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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. 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 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.

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Citation

@dataset{hdx_africa_world_bank_millenium_development_goals_indicators_for_tanzania,
  title     = {Tanzania - Millenium development goals},
  author    = {World Bank Group},
  year      = {2026},
  url       = {https://data.humdata.org/dataset/world-bank-millenium-development-goals-indicators-for-tanzania},
  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.