electricsheepafrica/africa-aid-flows-zimbabwe

Zimbabwe - Current IATI Aid Activities

Publisher: International Aid Transparency Initiative · Source: HDX · License: hdx-other · Updated: 2026-04-21

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Abstract

List of active aid activities shared via the International Aid Transparency Initiative (IATI). Includes both humanitarian and development activities. More information on each activity (including financial data) is available from http://www.d-portal.org

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

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)	13,163
Columns	27 (12 numeric, 13 categorical, 2 datetime)
Train split	10,530 rows
Test split	2,632 rows
Geographic scope	ZWE
Publisher	International Aid Transparency Initiative
HDX last updated	2026-04-21

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Variables

Geographic — day_start, day_end, day_length (range 0.0–28853.0), country_code, country_percent (range 0.0–100.0).

Outcome / Measurement — sector_percent (range 0.0–100.0).

Identifier / Metadata — aid (http://d-portal.org/q.html?aid=NL-KVK-27378529-4000002092, http://d-portal.org/q.html?aid=NL-KVK-27378529-26067, http://d-portal.org/q.html?aid=NL-KVK-27378529-28385), reporting_ref (US-GOV-1, SE-0, AU-5), funder_ref (US-GOV-1, SE, AU), title (USAID redacted this field in accordance with the exceptions outlined in the Foreign Aid Transparency and Accountability Act of 2016., USAID Travel and Transportation, USAID Pay and Benefits), status_code (Finalisation, Implementation, Closed) and 3 others.

Other — reporting (U.S. Agency for International Development, Sweden, Australia Aid), slug (ausgov-activity, usaid-zw, rvo-01), description (This program supports the Mission's goal for an independent, prosperous, and healthy Ukraine united around core European values in one or more of the following sectors: strengthening of democratic governance, and more inclusive, sustainable, market-driven economic growth., Administrative costs and operating expenses of USAID contributing to Travel and Transportation., Administrative costs and operating expenses of USAID contributing to Payrolls and Benefits.), commitment (range -3422378.0–6789381600.0), spend (range -761065.3–5922666500.0) and 8 others.

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-aid-flows-zimbabwe")
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
aid	object	0.0%	http://d-portal.org/q.html?aid=NL-KVK-27378529-4000002092, http://d-portal.org/q.html?aid=NL-KVK-27378529-26067, http://d-portal.org/q.html?aid=NL-KVK-27378529-28385
reporting	object	0.0%	U.S. Agency for International Development, Sweden, Australia Aid
reporting_ref	object	0.0%	US-GOV-1, SE-0, AU-5
funder_ref	object	0.0%	US-GOV-1, SE, AU
title	object	0.0%	USAID redacted this field in accordance with the exceptions outlined in the Foreign Aid Transparency and Accountability Act of 2016., USAID Travel and Transportation, USAID Pay and Benefits
slug	object	0.0%	ausgov-activity, usaid-zw, rvo-01
status_code	object	0.0%	Finalisation, Implementation, Closed
day_start	datetime64[ns]	0.0%
day_end	datetime64[ns]	0.0%
day_length	float64	0.0%	0.0 – 28853.0 (mean 1391.3902)
description	object	0.1%	This program supports the Mission's goal for an independent, prosperous, and healthy Ukraine united around core European values in one or more of the following sectors: strengthening of democratic governance, and more inclusive, sustainable, market-driven economic growth., Administrative costs and operating expenses of USAID contributing to Travel and Transportation., Administrative costs and operating expenses of USAID contributing to Payrolls and Benefits.
commitment	float64	0.0%	-3422378.0 – 6789381600.0 (mean 34332852.0936)
spend	float64	0.0%	-761065.3 – 5922666500.0 (mean 30864868.3253)
commitment_eur	float64	0.0%	-2578154.5 – 6054103000.0 (mean 29950809.9594)
spend_eur	float64	0.0%	-706947.1 – 5275019300.0 (mean 27226368.986)
commitment_gbp	float64	0.0%	-2169449.0 – 5257404000.0 (mean 25587265.0518)
spend_gbp	float64	0.0%	-604496.0 – 4592923600.0 (mean 23331960.4101)
commitment_cad	float64	0.0%	-3573110.2 – 9021294000.0 (mean 44228960.5021)
spend_cad	float64	0.0%	-1034374.6 – 7843841000.0 (mean 40160010.7645)
flags	int64	0.0%	0.0 – 0.0 (mean 0.0)
sector_group	object	1.6%	Government & Civil Society-general, Population Policies/Programmes & Reproductive Health, Agriculture
sector_code	object	6.0%	Democratic participation and civil society, STD control including HIV/AIDS, Administrative costs (non-sector allocable)
sector_percent	float64	1.5%	0.0 – 100.0 (mean 43.4398)
country_code	object	0.0%
country_percent	float64	0.0%	0.0 – 100.0 (mean 49.824)
esa_source	object	0.0%
esa_processed	object	0.0%

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Numeric Summary

Column	Min	Max	Mean	Median
day_length	0.0	28853.0	1391.3902	943.0
commitment	-3422378.0	6789381600.0	34332852.0936	438729.0
spend	-761065.3	5922666500.0	30864868.3253	505586.5
commitment_eur	-2578154.5	6054103000.0	29950809.9594	378943.75
spend_eur	-706947.1	5275019300.0	27226368.986	444524.06
commitment_gbp	-2169449.0	5257404000.0	25587265.0518	331778.88
spend_gbp	-604496.0	4592923600.0	23331960.4101	388888.1
commitment_cad	-3573110.2	9021294000.0	44228960.5021	568887.4
spend_cad	-1034374.6	7843841000.0	40160010.7645	663343.8
flags	0.0	0.0	0.0	0.0
sector_percent	0.0	100.0	43.4398	27.6
country_percent	0.0	100.0	49.824	20.0

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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. 26 exact duplicate rows were removed. 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 International Aid Transparency Initiative 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_aid_flows_zimbabwe,
  title     = {Zimbabwe - Current IATI Aid Activities},
  author    = {International Aid Transparency Initiative},
  year      = {2026},
  url       = {https://data.humdata.org/dataset/iati-zwe},
  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.