electricsheepafrica/africa-hrp-projects-zmb

Zambia: 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 Zambia Humanitarian Response Plans (HRPs) or other Humanitarian Programme Cycle plans. The original data is available on https://hpc.tools

Important: some projects in Zambia might be missing, and others might not apply specifically to Zambia. 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: ZMB.

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)	33
Columns	14 (1 numeric, 11 categorical, 2 datetime)
Train split	26 rows
Test split	6 rows
Geographic scope	ZMB
Publisher	OCHA Humanitarian Programme Cycle Tools (HPC Tools)
HDX last updated	2026-03-30

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Variables

Geographic — locations (ZMB).

Temporal — startdate, enddate.

Identifier / Metadata — name (Provision of integrated livelihoods support to enhance household recovery and build resilience to future shocks., Provision of of irrigation packs and agricultural inputs, Localisation - Solarization), versioncode (FZMB24-AGR-217577-1, FZMB24-PRO-227159-1, FZMB24-WSH-227155-1), response_plan_code (FZMB24), esa_source (HDX), esa_processed.

Other — currentrequestedfunds (range 16227.0–51720604.0), objective (Support the Ministry of Education and schools with interventions that will support learners with continued of learning during the drought. This will include school feeding, Catch-Up remediation, psychosocial support, access to alternative learning through radio, learning passport etc, Provision of agriculture inputs; small scale irrigation support, community water points rehabilitation, seed mutliplication, livestock disease out breal surveillance, supplementary feeding for livestock, vaccinations, drugs, water for livestock and wild life, Strengthen the capacity of the Government of Zambia in effective border management that maintreams the protection of vulnerable migrants including persons displaced by climate change), partners (MCDSS, LLCZ, Zambia Red Cross Society, MCDSS,Departmnet of Immigration, Zambia Police Service, Anti-Human Trafficking Department), globalclusters (Water Sanitation Hygiene, Protection, Food Security), organizations (United Nations Children's Fund, International Organization for Migration, World Food Programme) and 1 others.

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-hrp-projects-zmb")
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%	Provision of integrated livelihoods support to enhance household recovery and build resilience to future shocks., Provision of of irrigation packs and agricultural inputs, Localisation - Solarization
versioncode	object	0.0%	FZMB24-AGR-217577-1, FZMB24-PRO-227159-1, FZMB24-WSH-227155-1
currentrequestedfunds	int64	0.0%	16227.0 – 51720604.0 (mean 3214309.303)
objective	object	0.0%	Support the Ministry of Education and schools with interventions that will support learners with continued of learning during the drought. This will include school feeding, Catch-Up remediation, psychosocial support, access to alternative learning through radio, learning passport etc, Provision of agriculture inputs; small scale irrigation support, community water points rehabilitation, seed mutliplication, livestock disease out breal surveillance, supplementary feeding for livestock, vaccinations, drugs, water for livestock and wild life, Strengthen the capacity of the Government of Zambia in effective border management that maintreams the protection of vulnerable migrants including persons displaced by climate change
partners	object	33.3%	MCDSS, LLCZ, Zambia Red Cross Society, MCDSS,Departmnet of Immigration, Zambia Police Service, Anti-Human Trafficking Department
startdate	datetime64[ns]	0.0%
enddate	datetime64[ns]	0.0%
globalclusters	object	0.0%	Water Sanitation Hygiene, Protection, Food Security
locations	object	0.0%	ZMB
organizations	object	0.0%	United Nations Children's Fund, International Organization for Migration, World Food Programme
plans	object	0.0%	Zambia Drought Flash Appeal 2024
response_plan_code	object	0.0%	FZMB24
esa_source	object	0.0%	HDX
esa_processed	object	0.0%

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Numeric Summary

Column	Min	Max	Mean	Median
currentrequestedfunds	16227.0	51720604.0	3214309.303	269250.0

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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 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: partners.
• 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_zmb,
  title     = {Zambia: Response Plan projects},
  author    = {OCHA Humanitarian Programme Cycle Tools (HPC Tools)},
  year      = {2026},
  url       = {https://data.humdata.org/dataset/hrp-projects-zmb},
  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.