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electricsheepafrica/africa-zimbabwe-eastern-and-southern-africa-humanitarian-situation-and-res-aba34d19

Eastern and Southern Africa Humanitarian Situation and Response | Africa (Zimbabwe official open data) 745 rows - 1 Africa country - 2020-2021 - 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 Source: Eastern and Southern… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-zimbabwe-eastern-and-southern-africa-humanitarian-situation-and-res-aba34d19.

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Dataset Card

Eastern and Southern Africa Humanitarian Situation and Response | Africa (Zimbabwe official open data)

745 rows - 1 Africa country - 2020-2021 - 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
ZWE74520202021Zimbabwe

Indicators or Resource Contents

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

Schema

ColumnTypeDescriptionExample
source_record_idstringStable row identifier for tabular resources.b060b8d8-f066-4e4d-9824-4a063a7a426a: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
december_2020stringSource column.December 2020
hacstringSource column.hac
source_period_start_yearInt64First year inferred from source resource metadata.2020
source_period_end_yearInt64Last year inferred from source resource metadata.2021
source_period_labelcategoryHuman-readable period inferred from source resource metadata.2020-2021
source_providercategoryPublishing organization.UNICEF Eastern and Southern Africa Regional Office (ESARO) (inactive)
source_datasetcategorySource package title.Eastern and Southern Africa Humanitarian Situation and Response
source_resourcecategorySource resource title.UNICEF ESARO Regional db 2020 10.2.2021 annual 2020.xlsx
source_package_idcategoryCKAN package UUID.6af23552-38ee-4bd6-a4ac-e4ccf229bca5
source_resource_idcategoryCKAN resource UUID.b060b8d8-f066-4e4d-9824-4a063a7a426a
source_urlcategoryOriginal source resource URL.https://data.humdata.org/dataset/6af23552-38ee-4bd6-a4ac-e4ccf229bca5/re
license_idcategorySource license identifier.cc-by
retrieved_atcategoryUTC retrieval timestamp.2026-08-24T16:01:50Z
countrystringSource column.``
people_in_needfloat64Source column.``
children_in_needfloat64Source column.``
people_to_be_reached_in_2020float64Source column.``
children_to_be_reached_in_2020float64Source column.``
people_food_insecure_ipc_3_or_abovefloat64Source column.``
people_in_need_of_waterfloat64Source column.``
children_needing_waterfloat64Source column.``
children_with_sam_burdenfloat64Source column.``
children_out_of_school_primaryfloat64Source column.``
cholera_awd_confirmed_casesfloat64Source column.``
malaria_cases_cumulativefloat64Source column.``
measles_confirmed_casesfloat64Source column.``
ebola_confirmed_casesfloat64Source column.``
other_diseases_specifystringSource column.``
floods_how_many_affectedfloat64Source column.``
number_of_refugees_hostedfloat64Source column.``
number_of_returneesfloat64Source column.``
number_of_idpsfloat64Source column.``
inform_overall_ranking_0_21float64Source column.``
inform_overall_risk_rating_0_10float64Source column.``
inform_human_hazard_risk_0_10float64Source column.``
next_election_risk_data_critical_poststringSource column.``
inform_socio_economic_vulnerability_0_10float64Source column.``
natural_hazard_rating_0_10float64Source column.``
iso3stringSource column.``
inform_riskfloat64Source column.``
risk_classstringSource column.``
rankfloat64Source column.``
earthquakefloat64Source column.``
floodfloat64Source column.``
tsunamifloat64Source column.``
tropical_cyclonefloat64Source column.``
droughtfloat64Source column.``
epidemicfloat64Source column.``
naturalfloat64Source column.``
projected_conflict_riskfloat64Source column.``
current_highly_violent_conflict_intensityfloat64Source column.``
humanfloat64Source column.``
hazard_exposurefloat64Source column.``
development_deprivationfloat64Source column.``
inequalitystringSource column.``
economic_dependencyfloat64Source column.``
socio_economic_vulnerabilityfloat64Source column.``
uprooted_peoplefloat64Source column.``
health_conditionsfloat64Source column.``
children_u5float64Source column.``
recent_shocksfloat64Source column.``
food_securityfloat64Source column.``
other_vulnerable_groupsfloat64Source column.``
vulnerable_groupsfloat64Source column.``
vulnerabilityfloat64Source column.``
drrstringSource column.``
governancefloat64Source column.``
institutionalfloat64Source column.``
communicationfloat64Source column.``
physical_infrastructurefloat64Source column.``
access_to_health_carefloat64Source column.``
infrastructurefloat64Source column.``
lack_of_coping_capacityfloat64Source column.``
lack_of_reliabilityfloat64Source column.``
number_of_missing_indicatorsfloat64Source column.``
of_missing_indicatorsfloat64Source column.``
countries_in_hvcstringSource column.``
recentness_data_average_yearsfloat64Source column.``
south_sudanstringSource column.``
d_180406390stringSource column.``
d_100652927stringSource column.``
d_79753463stringSource column.``
d_0_44207670803678295stringSource column.``
d_0_5579232919632171float64Source column.``
totalstringSource column.``
d_97565920stringSource column.``
d_49140658stringSource column.``
d_48425262stringSource column.``
d_0_4963337813039635stringSource column.``
zimbabwestringSource column.``
d_101536809stringSource column.``
d_17763921stringSource column.``
d_83772888stringSource column.``
d_0_8308664791701303stringSource column.``
total_region_requirementfloat64Source column.``
total_region_availablefloat64Source column.``
total_region_gapfloat64Source column.``
total_region_available_2float64Source column.``
officestringSource column.``
funding_needfloat64Source column.``
new_funding_against_hac_appealfloat64Source column.``
reprogrammedstringSource column.``
funds_available_new_reprogfloat64Source column.``
current_gapfloat64Source column.``
gap_less_pipelinefloat64Source column.``
rankingfloat64Source column.``
sectorstringSource column.``
indicatorstringSource column.``
2020float64Source column.``
resultsfloat64Source column.``
gapfloat64Source column.``
achievedfloat64Source column.``
column_8stringSource column.``
sector_2stringSource column.``
indicator_2stringSource column.``
country_2stringSource column.``
2020_2float64Source column.``
results_2float64Source column.``
gap_2float64Source column.``
achieved_2stringSource column.``
nutritionstringSource column.``
of_children_reached_with_vitamin_a_supplementationstringSource column.``
d_400000float64Source column.``
d_247275float64Source column.``
d_152725float64Source column.``
d_0_6181875float64Source column.``
eritreastringSource column.``
healthstringSource column.``
d_2000000float64Source column.``
d_1426429float64Source column.``
d_573571stringSource column.``
d_0_2867855float64Source column.``
d_1115824float64Source column.``
d_310605float64Source column.``
d_1426429_2float64Source column.``
of_children_vaccinated_against_measlesstringSource column.``
d_160000float64Source column.``
d_23539float64Source column.``
d_136461float64Source column.``
d_0_14711875float64Source column.``
child_protectionstringSource column.``
d_9378579float64Source column.``
d_5905077float64Source column.``
d_3473502stringSource column.``
d_0_370365489270816float64Source column.``
d_4827414float64Source column.``
d_1077663float64Source column.``
d_5905077_2float64Source column.``
ethiopia_2stringSource column.``
of_children_accessing_primary_health_care_through_unicefstringSource column.``
d_255614float64Source column.``
d_229985float64Source column.``
d_25629float64Source column.``
d_0_8997355387420094float64Source column.``
kenyastringSource column.``
d_13271640float64Source column.``
d_6086312float64Source column.``
d_7185328stringSource column.``
d_0_5414046794518236float64Source column.``
d_4479910float64Source column.``
d_1606402float64Source column.``
d_6086312_2float64Source column.``
kenya_2stringSource column.``
of_primary_caregivers_of_children_aged_0_23_months_who_rstringSource column.``
d_650000float64Source column.``
d_937561float64Source column.``
d_0float64Source column.``
d_1_4424015384615385float64Source column.``
somaliastringSource column.``
of_people_with_sustained_access_to_safe_water_through_nestringSource column.``
d_21346576float64Source column.``
d_9485796float64Source column.``
d_11860780stringSource column.``
d_0_5556291557015982float64Source column.``
d_7090072float64Source column.``
d_2395724float64Source column.``
d_9485796_2float64Source column.``
d_540000float64Source column.``
d_339076float64Source column.``
d_200924float64Source column.``
d_0_6279185185185185float64Source column.``
washstringSource column.``
d_45587830float64Source column.``
d_19172597float64Source column.``
d_26415233stringSource column.``
d_0_5794360687929213float64Source column.``
d_16357519float64Source column.``
d_2815078float64Source column.``
d_19172597_2float64Source column.``
of_people_at_least_half_of_them_children_provided_with_estringSource column.``
d_250000float64Source column.``
d_58942float64Source column.``
d_191058float64Source column.``
d_0_235768float64Source column.``
burundistringSource column.``
d_3700000float64Source column.``
d_3112230float64Source column.``
d_587770stringSource column.``
d_0_15885675675675676float64Source column.``
d_1463674float64Source column.``
d_1648556float64Source column.``
d_3112230_2float64Source column.``
educationstringSource column.``
of_children_accessing_quality_educationstringSource column.``
d_71853float64Source column.``
d_43213float64Source column.``
d_28640float64Source column.``
d_0_6014084311023896float64Source column.``
ugandastringSource column.``
d_11054879float64Source column.``
d_6100318stringSource column.``
d_4954561stringSource column.``
d_0_4481786729642179stringSource column.``
column_13stringSource column.``
d_699989float64Source column.``
d_5400329float64Source column.``
d_6100318_2float64Source column.``
health_facilities_and_points_of_entry_staff_trained_andstringSource column.``
d_535float64Source column.``
d_304float64Source column.``
d_231float64Source column.``
d_0_5682242990654206float64Source column.``
rwandastringSource column.``
sector_coordinationstringSource column.``
d_156485float64Source column.``
d_243515stringSource column.``
d_0_6087875float64Source column.``
d_39636float64Source column.``
d_116849float64Source column.``
d_156485_2float64Source column.``
d_35887float64Source column.``
d_35697float64Source column.``
d_0_9947056037005043float64Source column.``
tanzaniastringSource column.``
d_853000float64Source column.``
d_196300float64Source column.``
column_9float64Source column.``
d_656700float64Source column.``
d_0_23012895662368113float64Source column.``
column_12stringSource column.``
of_children_screened_for_sam_treatmentstringSource column.``
d_379907float64Source column.``
d_390841float64Source column.``
d_1_0287807279149896float64Source column.``
angolastringSource column.``
nutrition_2stringSource column.``
d_7100000float64Source column.``
d_2685678float64Source column.``
d_4414322stringSource column.``
d_0_6217354929577464float64Source column.``
d_2478379float64Source column.``
d_207299float64Source column.``
d_2685678_2float64Source column.``
people_provided_with_access_to_essential_and_life_savingstringSource column.``
d_180000float64Source column.``
d_224000float64Source column.``
d_1_2444444444444445float64Source column.``
madagascarstringSource column.``
health_2stringSource column.``
d_1100000float64Source column.``
d_1058819float64Source column.``
d_41181stringSource column.``
d_0_03743727272727273float64Source column.``
d_1057842float64Source column.``
d_977float64Source column.``
d_1058819_2float64Source column.``
d_43800float64Source column.``
d_17355float64Source column.``
d_26445float64Source column.``
d_0_39623287671232876float64Source column.``
mozambiquestringSource column.``
d_4823831stringSource column.``
d_0_4364138408468535float64Source column.``
of_people_reached_with_key_messages_on_hygiene_practicesstringSource column.``
d_340000float64Source column.``
d_293418float64Source column.``
d_46582float64Source column.``
d_0_8629941176470588float64Source column.``
lesothostringSource column.``
d_220000stringSource column.``
d_0_55float64Source column.``
d_180000_2float64Source column.``
d_180000_3float64Source column.``
of_households_provided_with_hygiene_kitsstringSource column.``
d_35000float64Source column.``
d_47859float64Source column.``
d_1_3674float64Source column.``
d_5766030float64Source column.``
d_2564548float64Source column.``
d_3201482float64Source column.``
d_0_5552315891523284float64Source column.``
d_1739481float64Source column.``
d_825067float64Source column.``
d_2564548_2float64Source column.``
appeal_sectorstringSource column.``
requirementfloat64Source column.``
funds_available_usfloat64Source column.``
funding_gapfloat64Source column.``
funding_gap_2float64Source column.``
funds_recievedfloat64Source column.``
funds_carryoverfloat64Source column.``
d_152_784float64Source column.``
d_150_926float64Source column.``
d_147_626float64Source column.``
d_184_532float64Source column.``

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-zimbabwe-eastern-and-southern-africa-humanitarian-situation-and-res-aba34d19")
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_eastern_and_southern_africa_humanitarian_situation_and_res_aba34_2021,
  title        = {Eastern and Southern Africa Humanitarian Situation and Response | Africa (Zimbabwe official open data)},
  author       = {UNICEF Eastern and Southern Africa Regional Office (ESARO) (inactive)},
  year         = {2021},
  url          = {https://data.humdata.org/dataset/eastern-southern-africa-humanitarian-situation-and-response-dec2019},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-zimbabwe-eastern-and-southern-africa-humanitarian-situation-and-res-aba34d19}}
}

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/6af23552-38ee-4bd6-a4ac-e4ccf229bca5/resource/b060b8d8-f066-4e4d-9824-4a063a7a426a/download/unicef-esaro-regional-db-2020-10.2.2021-annual-2020.xlsx