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electricsheepafrica/africa-zimbabwe-mozambique-zimbabwe-malawi-post-cyclone-drought-disease-ou-f4f5a9f4

Mozambique, Zimbabwe, Malawi-Post cyclone, drought, disease outbreak for Idai countries- | Africa (Zimbabwe official open data) 589 rows - 1 Africa country - 2019-2020 - Repackaged by Electric Sheep Africa TL;DR This dataset packages one official XLSX resource from Zimbabwe as ML-ready Parquet. The source file is the provenance boundary; all usable indicators or tabular columns from the resource stay together in this repo. About the source… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-zimbabwe-mozambique-zimbabwe-malawi-post-cyclone-drought-disease-ou-f4f5a9f4.

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Dataset Card

Mozambique, Zimbabwe, Malawi-Post cyclone, drought, disease outbreak for Idai countries- | Africa (Zimbabwe official open data)

589 rows - 1 Africa country - 2019-2020 - Repackaged by Electric Sheep Africa

rows countries years indicators license

TL;DR

This dataset packages one official XLSX resource from Zimbabwe as ML-ready Parquet. The source file is the provenance boundary; all usable indicators or tabular columns from the resource stay together in this repo.

About the source

Geographic coverage

1 Africa country:

CountryRowsFirst yearLast yearName
ZWE58920192020Zimbabwe

Indicators or Resource Contents

  • —This source file is packaged as a normalized tabular resource.

Schema

ColumnTypeDescriptionExample
source_record_idstringStable row identifier for tabular resources.95a795e0-143e-4e87-8daf-62e5e496d06c:guidance-dates-of-update:0
country_iso3categoryISO3 country code.ZWE
country_namecategoryCountry name.Zimbabwe
source_sheetstringWorkbook sheet name, when the source is a spreadsheet.Guidance & Dates of update
ethiopiastringSource column.Kenya
2019stringSource column.2019-06-01 00:00:00
hacstringSource column.hac
source_period_start_yearInt64First year inferred from source resource metadata.2019
source_period_end_yearInt64Last year inferred from source resource metadata.2020
source_period_labelcategoryHuman-readable period inferred from source resource metadata.2019-2020
source_providercategoryPublishing organization.UNICEF Eastern and Southern Africa Regional Office (ESARO) (inactive)
source_datasetcategorySource package title.Mozambique, Zimbabwe, Malawi-Post cyclone, drought, disease outbreak for
source_resourcecategorySource resource title.UNICEF ESARO Regional db 2019 September 20.2019.xlsx
source_package_idcategoryCKAN package UUID.01ff0d49-b49b-4d63-a3a5-17e741a7ad7c
source_resource_idcategoryCKAN resource UUID.95a795e0-143e-4e87-8daf-62e5e496d06c
source_urlcategoryOriginal source resource URL.https://data.humdata.org/dataset/01ff0d49-b49b-4d63-a3a5-17e741a7ad7c/re
license_idcategorySource license identifier.cc-by
retrieved_atcategoryUTC retrieval timestamp.2026-08-24T16:01:50Z
burundistringSource column.``
d_1770000float64Source column.``
d_991200_0000000001float64Source column.``
d_500000float64Source column.``
d_260000float64Source column.``
d_1700000float64Source column.``
d_255000stringSource column.``
d_142800stringSource column.``
d_30000float64Source column.``
d_114262stringSource column.``
d_32float64Source column.``
d_6236611float64Source column.``
d_0float64Source column.``
d_0_2float64Source column.``
d_0_3float64Source column.``
d_80897float64Source column.``
d_130562float64Source column.``
d_72_720_returnee_from_tzastringSource column.``
nutritionstringSource column.``
of_children_aged_6_to_59_months_provided_with_vitamin_astringSource column.``
d_300000float64Source column.``
d_112996float64Source column.``
d_187004float64Source column.``
d_0_37665333333333334float64Source column.``
healthstringSource column.``
d_1820000float64Source column.``
d_572508float64Source column.``
d_1247492stringSource column.``
d_0_6854351648351649float64Source column.``
d_222000float64Source column.``
d_350508float64Source column.``
d_572508_2float64Source column.``
of_children_vaccinated_against_measlesstringSource column.``
d_760270float64Source column.``
d_600884float64Source column.``
d_159386float64Source column.``
d_0_7903560577163377float64Source column.``
child_protectionstringSource column.``
d_3687192float64Source column.``
d_2056900float64Source column.``
d_1630292stringSource column.``
d_0_44215001551316013float64Source column.``
d_1731703float64Source column.``
d_325197float64Source column.``
d_2056900_2float64Source column.``
ethiopia_2stringSource column.``
of_children_under_5_accessing_an_integrated_package_of_hstringSource column.``
d_579200float64Source column.``
d_188170float64Source column.``
d_391030float64Source column.``
d_0_32487914364640885float64Source column.``
kenyastringSource column.``
d_12239122float64Source column.``
d_3962455float64Source column.``
d_8276667stringSource column.``
d_0_676246792866351float64Source column.``
d_2850000float64Source column.``
d_1112455float64Source column.``
d_3962455_2float64Source column.``
kenya_2stringSource column.``
of_children_under_1_year_received_penta3_vaccinestringSource column.``
d_81600float64Source column.``
d_38358float64Source column.``
d_43242float64Source column.``
d_0_4700735294117647float64Source column.``
sam_and_mam_treatmentstringSource column.``
washstringSource column.``
d_35830088float64Source column.``
d_17237530float64Source column.``
d_18592558stringSource column.``
d_0_518909079988863float64Source column.``
d_14573828float64Source column.``
d_2663702float64Source column.``
d_17237530_2float64Source column.``
of_pregnant_and_lactating_women_attending_support_groupsstringSource column.``
d_984700float64Source column.``
d_1075388float64Source column.``
d_1_092097085406723float64Source column.``
d_11201300float64Source column.``
d_4224742stringSource column.``
d_6976558stringSource column.``
d_0_6228346709756903float64Source column.``
column_12stringSource column.``
d_1003330float64Source column.``
d_3221412float64Source column.``
d_4224742_2float64Source column.``
of_people_at_least_half_of_them_children_provided_with_estringSource column.``
d_250000float64Source column.``
d_30300float64Source column.``
d_219700float64Source column.``
d_0_1212float64Source column.``
d_2500000stringSource column.``
d_1921244float64Source column.``
d_578756stringSource column.``
d_0_2315024float64Source column.``
d_214382float64Source column.``
d_1706862float64Source column.``
d_1921244_2float64Source column.``
educationstringSource column.``
of_children_accessing_quality_educationstringSource column.``
d_108704float64Source column.``
d_44823float64Source column.``
d_63881float64Source column.``
d_0_4123399322931999float64Source column.``
d_9190623float64Source column.``
d_2042058float64Source column.``
d_7148565stringSource column.``
d_0_7778107098942041float64Source column.``
d_787904float64Source column.``
d_1254154float64Source column.``
d_2042058_2float64Source column.``
of_children_admitted_for_sam_treatmentstringSource column.``
d_32912float64Source column.``
d_4384float64Source column.``
d_28528float64Source column.``
d_0_1332036947010209float64Source column.``
d_4000000float64Source column.``
d_3398343float64Source column.``
d_601657stringSource column.``
d_0_15041425float64Source column.``
d_1768269float64Source column.``
d_1630074float64Source column.``
d_3398343_2float64Source column.``
c4dstringSource column.``
disaster_affected_people_reached_with_key_messages_and_cstringSource column.``
d_495960float64Source column.``
d_150000float64Source column.``
d_345960float64Source column.``
d_0_3024437454633438float64Source column.``
d_2050000float64Source column.``
d_735278float64Source column.``
d_1314722stringSource column.``
d_0_6413278048780487float64Source column.``
d_735278_2float64Source column.``
d_735278_3float64Source column.``
of_people_with_access_to_safe_waterstringSource column.``
d_105000float64Source column.``
d_76062float64Source column.``
d_28938float64Source column.``
d_0_7244float64Source column.``
column_7stringSource column.``
d_700000float64Source column.``
d_700000_2stringSource column.``
d_1float64Source column.``
columnstringSource column.``
column_2stringSource column.``
d_380000float64Source column.``
d_72497float64Source column.``
d_307503float64Source column.``
d_0_1907815789473684float64Source column.``
d_6000000float64Source column.``
d_203490float64Source column.``
d_5796510stringSource column.``
d_0_966085float64Source column.``
d_203490_2float64Source column.``
d_203490_3float64Source column.``
d_73640float64Source column.``
d_61162float64Source column.``
d_12478float64Source column.``
d_0_8305540467137426float64Source column.``
d_5100000float64Source column.``
d_4642417float64Source column.``
d_457583float64Source column.``
d_0_0897221568627451float64Source column.``
d_4642417_2float64Source column.``
d_4642417_3float64Source column.``
d_3100000float64Source column.``
children_and_women_with_acute_malnutrition_have_access_tstringSource column.``
d_10200stringSource column.``
d_500float64Source column.``
column_4float64Source column.``
column_3stringSource column.``
children_under_5_years_with_sam_admitted_to_therapeuticstringSource column.``
zambiastringSource column.``
d_400float64Source column.``
d_34float64Source column.``
d_366float64Source column.``
d_112040stringSource column.``
d_137960stringSource column.``
d_0_55184stringSource column.``
child_protection_2stringSource column.``
d_1710000float64Source column.``
d_177040float64Source column.``
d_189543float64Source column.``
d_366583float64Source column.``
d_1343417float64Source column.``
d_0_7856239766081872float64Source column.``
d_550000float64Source column.``
d_591175float64Source column.``
d_0_4float64Source column.``
d_370000float64Source column.``
d_0_5float64Source column.``
d_160000float64Source column.``
d_210000float64Source column.``
d_57float64Source column.``
d_1000000float64Source column.``
d_320985float64Source column.``
d_109803float64Source column.``
d_569212float64Source column.``
d_0_57float64Source column.``
d_1500000float64Source column.``
d_0_6float64Source column.``
d_29000float64Source column.``
d_1471000float64Source column.``
d_0_019333333333333334float64Source column.``
d_1200000float64Source column.``
d_825000float64Source column.``
d_0_7float64Source column.``
d_375000float64Source column.``
d_0_31float64Source column.``
d_4620000float64Source column.``
d_1737160float64Source column.``
d_298803float64Source column.``
d_2625212float64Source column.``
d_0_5682277056277056float64Source column.``
wash_2stringSource column.``
d_591175_2float64Source column.``
d_0_8float64Source column.``
d_160000_2float64Source column.``
d_210000_2float64Source column.``
d_430788float64Source column.``
d_569212_2float64Source column.``
d_29000_2float64Source column.``
d_1471000_2float64Source column.``
d_825000_2float64Source column.``
d_375000_2float64Source column.``
d_2035963float64Source column.``
d_2625212_2float64Source column.``
ugandastringSource column.``
of_people_reached_with_evd_prevention_and_control_messagstringSource column.``
d_577481float64Source column.``
d_3258484_4000000004float64Source column.``
d_0_17722380380277405float64Source column.``
d_821546stringSource column.``
d_163868stringSource column.``
d_163868_2stringSource column.``
d_368000stringSource column.``
d_368000_2stringSource column.``
d_531868stringSource column.``
d_289678stringSource column.``
d_0_35260107163810667stringSource column.``
of_entry_points_provided_with_essential_wash_services_instringSource column.``
d_16float64Source column.``
d_20float64Source column.``
d_3426float64Source column.``
cpstringSource column.``
children_reached_with_psychosocial_supportstringSource column.``
d_270000float64Source column.``
d_84769float64Source column.``
d_185231float64Source column.``
d_0_31395925925925927float64Source column.``
communications_for_developmentstringSource column.``
d_2100000float64Source column.``
d_1099510float64Source column.``
d_1000490float64Source column.``
d_0_4764238095238095float64Source column.``
horn_of_africastringSource column.``
d_331089869stringSource column.``
d_128036984stringSource column.``
d_203052885stringSource column.``
d_0_6132863129073877stringSource column.``
d_0_38671368709261233float64Source column.``
totalstringSource column.``
d_70620731stringSource column.``
d_19296577stringSource column.``
d_51324154stringSource column.``
d_0_7267576145593848stringSource column.``
zimbabwestringSource column.``
d_18400000stringSource column.``
d_8534512stringSource column.``
d_9865488stringSource column.``
d_0_5361678260869566stringSource column.``
total_region_requirementfloat64Source column.``
total_region_availablefloat64Source column.``
total_region_gapfloat64Source column.``
total_region_available_2float64Source column.``
sectorstringSource column.``
indicatorstringSource column.``
countrystringSource column.``
resultsfloat64Source column.``
gapfloat64Source column.``
achievedfloat64Source column.``
column_8stringSource column.``
sector_2stringSource column.``
indicator_2stringSource column.``
country_2stringSource column.``
2019_2float64Source column.``
results_2float64Source column.``
gap_2float64Source column.``
achieved_2float64Source column.``
children_under_18stringSource column.``
d_219535_65stringSource column.``
d_109768_05stringSource column.``
d_109768_05_2stringSource column.``
children_in_needstringSource column.``
d_790512_65float64Source column.``
d_389689_95315798325float64Source column.``

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-zimbabwe-mozambique-zimbabwe-malawi-post-cyclone-drought-disease-ou-f4f5a9f4")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python
sample_country = df[df["country_iso3"] == "ZWE"]

Work with indicators

python
if "indicator_id" in df.columns:
    print(df["indicator_id"].value_counts().head())
    sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])

Citation

bibtex
@misc{electric_sheep_africa_africa_zimbabwe_mozambique_zimbabwe_malawi_post_cyclone_drought_disease_ou_f4f5a_2020,
  title        = {Mozambique, Zimbabwe, Malawi-Post cyclone, drought, disease outbreak for Idai countries- | Africa (Zimbabwe official open data)},
  author       = {UNICEF Eastern and Southern Africa Regional Office (ESARO) (inactive)},
  year         = {2020},
  url          = {https://data.humdata.org/dataset/mozambique-zimbabwe-malawi-post-cyclone-drought-disease-outbreak-for-idai-countries},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-zimbabwe-mozambique-zimbabwe-malawi-post-cyclone-drought-disease-ou-f4f5a9f4}}
}

License

Released under CC BY 4.0.

Original data (c) UNICEF Eastern and Southern Africa Regional Office (ESARO) (inactive). When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging.

About Electric Sheep

Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa on Hugging Face. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use load_dataset() to start working in seconds.

Browse the full collection: huggingface.co/electricsheepafrica

Provenance: ingested 2026-08-24 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/01ff0d49-b49b-4d63-a3a5-17e741a7ad7c/resource/95a795e0-143e-4e87-8daf-62e5e496d06c/download/unicef-esaro-regional-db-2019-september-20.2019.xlsx