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electricsheepafrica/africa-angola-unicef-esaro-regional-db-31-march-2018-7928edd8

UNICEF ESARO Regional db 31 March 2018 | Africa (Angola official open data) 501 rows - 1 Africa country - 2018 - Repackaged by Electric Sheep Africa TL;DR This dataset packages one official XLSX resource from Angola 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: UNICEF ESARO Regional db 31 March 2018 Publisher:… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-angola-unicef-esaro-regional-db-31-march-2018-7928edd8.

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Dataset Card

UNICEF ESARO Regional db 31 March 2018 | Africa (Angola official open data)

501 rows - 1 Africa country - 2018 - Repackaged by Electric Sheep Africa

rows countries years indicators license

TL;DR

This dataset packages one official XLSX resource from Angola 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
AGO50120182018Angola

Indicators or Resource Contents

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

Schema

ColumnTypeDescriptionExample
source_record_idstringStable row identifier for tabular resources.88b22d64-10c7-4279-822f-f36e38ba4403:guidance-dates-of-update:0
country_iso3categoryISO3 country code.AGO
country_namecategoryCountry name.Angola
source_sheetstringWorkbook sheet name, when the source is a spreadsheet.Guidance & Dates of update
yearInt64Observation year.2018
countrystringSource column.Ethiopia
date_of_updatestringSource column.2018-01-31 00:00:00
source_period_start_yearInt64First year inferred from source resource metadata.2018
source_period_end_yearInt64Last year inferred from source resource metadata.2018
source_period_labelcategoryHuman-readable period inferred from source resource metadata.2018
source_providercategoryPublishing organization.UNICEF Eastern and Southern Africa Regional Office (ESARO) (inactive)
source_datasetcategorySource package title.UNICEF ESARO Regional db 31 March 2018
source_resourcecategorySource resource title.UNICEF ESARO Regional db January 2018.xlsx
source_package_idcategoryCKAN package UUID.e514b983-cf97-4af6-9fc9-ec2b62f1283b
source_resource_idcategoryCKAN resource UUID.88b22d64-10c7-4279-822f-f36e38ba4403
source_urlcategoryOriginal source resource URL.https://data.humdata.org/dataset/e514b983-cf97-4af6-9fc9-ec2b62f1283b/re
license_idcategorySource license identifier.cc-by
retrieved_atcategoryUTC retrieval timestamp.2026-08-17T20:52:25Z
sourcestringSource column.``
hrpstringSource column.``
hrp_hrd_flash_appealfloat64Source column.``
hacfloat64Source column.``
hac_unicef_sitrepfloat64Source column.``
hac_unicef_sitrep_2float64Source column.``
fewsnet_flash_appeal_riasco_plan_2016_2017stringSource column.``
hrp_hrd_flash_appeal_2stringSource column.``
hrp_hrd_flash_appeal_3stringSource column.``
hrd_hacstringSource column.``
unesco_uisstringSource column.``
hac_unicefstringSource column.``
hac_unicef_2stringSource column.``
sectorstringSource column.``
indicatorstringSource column.``
2018float64Source column.``
latest_resultsfloat64Source column.``
gapfloat64Source column.``
achievedfloat64Source column.``
resultsfloat64Source column.``
sector_2stringSource column.``
indicator_2stringSource column.``
country_2stringSource column.``
2018_2float64Source column.``
results_2float64Source column.``
gap_2float64Source column.``
achieved_2float64Source column.``
kenyastringSource column.``
d_34235000stringSource column.``
d_5569433stringSource column.``
d_28665567stringSource column.``
d_0_8373175697385716stringSource column.``
rwandastringSource column.``
d_1837000stringSource column.``
d_0stringSource column.``
d_1837000_2stringSource column.``
d_1stringSource column.``
madagascarstringSource column.``
d_23750000stringSource column.``
d_0_2stringSource column.``
d_19150000stringSource column.``
d_0_8063157894736842stringSource column.``
funding_informationstringSource column.``
eritreafloat64Source column.``
ethiopiafloat64Source column.``
somaliafloat64Source column.``
horn_of_africafloat64Source column.``
south_sudanfloat64Source column.``
burundifloat64Source column.``
ugandafloat64Source column.``
tanzaniafloat64Source column.``
great_lakesfloat64Source column.``
angolafloat64Source column.``
southern_africafloat64Source column.``
grand_totalfloat64Source column.``
healthstringSource column.``
of_people_provided_with_access_to_essential_and_life_savstringSource column.``
d_1400000float64Source column.``
d_31167float64Source column.``
d_1368833float64Source column.``
d_0_02226214285714286float64Source column.``
of_crisis_affected_people_with_adequate_access_to_phc_sestringSource column.``

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-angola-unicef-esaro-regional-db-31-march-2018-7928edd8")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

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

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_angola_unicef_esaro_regional_db_31_march_2018_7928edd8_2018,
  title        = {UNICEF ESARO Regional db 31 March 2018 | Africa (Angola official open data)},
  author       = {UNICEF Eastern and Southern Africa Regional Office (ESARO) (inactive)},
  year         = {2018},
  url          = {https://data.humdata.org/dataset/unicef-esaro-regional-db-31-october-2017},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-angola-unicef-esaro-regional-db-31-march-2018-7928edd8}}
}

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 2026-08-17 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/e514b983-cf97-4af6-9fc9-ec2b62f1283b/resource/88b22d64-10c7-4279-822f-f36e38ba4403/download/unicef-esaro-regional-db-january-2018.xlsx