electricsheepafrica/africa-hrp-projects-tza

United Republic of Tanzania: Response Plan projects

Publisher: OCHA Humanitarian Programme Cycle Tools (HPC Tools) · Source: HDX · License: cc-by-igo · Updated: 2026-03-30

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Abstract

Projects proposed, in progress, or completed as part of the annual United Republic of Tanzania Humanitarian Response Plans (HRPs) or other Humanitarian Programme Cycle plans. The original data is available on https://hpc.tools

Important: some projects in United Republic of Tanzania might be missing, and others might not apply specifically to United Republic of Tanzania. See Caveats under the Additional information tab.

Each row in this dataset represents time-series observations. Temporal coverage is indicated by the startdate, enddate column(s). 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	Time-series observations
Rows (total)	37
Columns	13 (1 numeric, 10 categorical, 2 datetime)
Train split	29 rows
Test split	7 rows
Geographic scope	TZA
Publisher	OCHA Humanitarian Programme Cycle Tools (HPC Tools)
HDX last updated	2026-03-30

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Variables

Geographic — locations (ETH, SOM, KEN).

Temporal — startdate, enddate.

Identifier / Metadata — name (Ethiopia: Save the Children (Multi-sector response), Somalia: Danish Refugee Council (Multi-sector response), Ethiopia: Ethiopian Evangelical Church Mekane Yesus Development and Social Services Commission (Multi-sector response)), versioncode (RRHOAY24-MS-211697-1, RRHOAY24-MS-211716-1, RRHOAY24-MS-211718-1), response_plan_code (RRHOAY24), esa_source (HDX), esa_processed (2026-04-05).

Other — currentrequestedfunds (range 12727.0–26915203.0), objective (Save the Children - Multi-sector response in Ethiopia, Danish Refugee Council - Multi-sector response in Somalia, Ethiopian Evangelical Church Mekane Yesus Development and Social Services Commission - Multi-sector response in Ethiopia), globalclusters (Multi-sector), organizations (International Organization for Migration, United Nations Children's Fund, Norwegian Refugee Council), plans (Regional Migrant Response Plan for Horn of Africa to Yemen and Southern Africa 2024).

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-hrp-projects-tza")
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
name	object	0.0%	Ethiopia: Save the Children (Multi-sector response), Somalia: Danish Refugee Council (Multi-sector response), Ethiopia: Ethiopian Evangelical Church Mekane Yesus Development and Social Services Commission (Multi-sector response)
versioncode	object	0.0%	RRHOAY24-MS-211697-1, RRHOAY24-MS-211716-1, RRHOAY24-MS-211718-1
currentrequestedfunds	int64	0.0%	12727.0 – 26915203.0 (mean 1996428.5135)
objective	object	0.0%	Save the Children - Multi-sector response in Ethiopia, Danish Refugee Council - Multi-sector response in Somalia, Ethiopian Evangelical Church Mekane Yesus Development and Social Services Commission - Multi-sector response in Ethiopia
startdate	datetime64[ns]	0.0%
enddate	datetime64[ns]	0.0%
globalclusters	object	0.0%	Multi-sector
locations	object	21.6%	ETH, SOM, KEN
organizations	object	0.0%	International Organization for Migration, United Nations Children's Fund, Norwegian Refugee Council
plans	object	0.0%	Regional Migrant Response Plan for Horn of Africa to Yemen and Southern Africa 2024
response_plan_code	object	0.0%	RRHOAY24
esa_source	object	0.0%	HDX
esa_processed	object	0.0%	2026-04-05

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Numeric Summary

Column	Min	Max	Mean	Median
currentrequestedfunds	12727.0	26915203.0	1996428.5135	757200.0

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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. 1 column(s) with >80% missing values were removed: partners. 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 OCHA Humanitarian Programme Cycle Tools (HPC Tools) and has not been independently validated by ESA.
• Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
• The following columns have >20% missing values and should be treated with caution in modelling: locations.
• Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

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Citation

@dataset{hdx_africa_hrp_projects_tza,
  title     = {United Republic of Tanzania: Response Plan projects},
  author    = {OCHA Humanitarian Programme Cycle Tools (HPC Tools)},
  year      = {2026},
  url       = {https://data.humdata.org/dataset/hrp-projects-tza},
  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.