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electricsheepafrica/africa-burundi-unicef-burundi-great-lakes-30-june-2017-2f5637fe

UNICEF Burundi Great Lakes 30 June 2017 | Africa (Burundi official open data) 471 rows - 1 Africa country - 2016-2017 - Repackaged by Electric Sheep Africa TL;DR This dataset packages one official XLSX resource from Burundi 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 Burundi Great Lakes 30 June 2017… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-burundi-unicef-burundi-great-lakes-30-june-2017-2f5637fe.

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Dataset Card

UNICEF Burundi Great Lakes 30 June 2017 | Africa (Burundi official open data)

471 rows - 1 Africa country - 2016-2017 - Repackaged by Electric Sheep Africa

rows countries years indicators license

TL;DR

This dataset packages one official XLSX resource from Burundi 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
BDI47120162017Burundi

Indicators or Resource Contents

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

Schema

ColumnTypeDescriptionExample
source_record_idstringStable row identifier for tabular resources.eb5ee3e5-1f37-4c4a-b20d-c5fd558872f9:1-situation:0
country_iso3categoryISO3 country code.BDI
country_namecategoryCountry name.Burundi
source_sheetstringWorkbook sheet name, when the source is a spreadsheet.1.SITUATION
sourcestringSource column.``
hrp_hrd_flash_appealfloat64Source column.``
hacfloat64Source column.``
hac_uniceffloat64Source column.``
hac_unicef_2float64Source column.``
fewsnet_flash_appealfloat64Source column.``
hrp_hrd_flash_appeal_2float64Source column.``
hrp_hrd_flash_appeal_3stringSource column.Children needing water
hrdstringSource column.Children with MAM burden
hrd_2float64Source column.``
hac_unicef_3float64Source column.``
source_period_start_yearInt64First year inferred from source resource metadata.2016
source_period_end_yearInt64Last year inferred from source resource metadata.2017
source_period_labelcategoryHuman-readable period inferred from source resource metadata.2016-2017
source_providercategoryPublishing organization.UNICEF Eastern and Southern Africa Regional Office (ESARO) (inactive)
source_datasetcategorySource package title.UNICEF Burundi Great Lakes 30 June 2017
source_resourcecategorySource resource title.Regional database_july16 2017- ESARO.xlsx
source_package_idcategoryCKAN package UUID.abf58988-c4d7-4515-9dcd-1cddda34f7e8
source_resource_idcategoryCKAN resource UUID.eb5ee3e5-1f37-4c4a-b20d-c5fd558872f9
source_urlcategoryOriginal source resource URL.https://data.humdata.org/dataset/abf58988-c4d7-4515-9dcd-1cddda34f7e8/re
license_idcategorySource license identifier.cc-by
retrieved_atcategoryUTC retrieval timestamp.2026-08-15T08:23:53Z
countrystringSource column.``
sectorstringSource column.``
indicatorstringSource column.``
2017float64Source column.``
latest_resultsfloat64Source column.``
gapfloat64Source column.``
achievedfloat64Source column.``
resultsfloat64Source column.``
ethiopiastringSource column.``
d_110500000stringSource column.``
d_68085393stringSource column.``
d_42414607stringSource column.``
d_0_38384259728506787stringSource column.``
burundistringSource column.``
d_18500000stringSource column.``
d_8748557stringSource column.``
d_9751443stringSource column.``
d_0_527105027027027stringSource column.``
angolastringSource column.``
d_7528038float64Source column.``
d_2493565float64Source column.``
d_5034473stringSource column.``
d_0_668762963205021float64Source column.``
appeal_sectorstringSource column.``
total_2017_hac_requirements_usfloat64Source column.``
funds_received_to_date_usfloat64Source column.``
funding_gap_usfloat64Source column.``
funding_gapstringSource column.``
appeal_sector_2stringSource column.``
total_2017_hac_requirements_us_2float64Source column.``
funds_received_to_date_us_2float64Source column.``
funding_gap_2float64Source column.``
funding_gap_3float64Source column.``
appeal_sector_3stringSource column.``
total_2017_hac_requirements_us_3float64Source column.``
funds_received_to_date_us_3float64Source column.``
funding_gap_4float64Source column.``
funding_gap_5stringSource column.``
appeal_sector_4stringSource column.``
total_2017_hac_requirements_us_4stringSource column.``
funds_received_to_date_us_4stringSource column.``
funding_gap_6stringSource column.``
funding_gap_7float64Source column.``
appeal_sector_5stringSource column.``
total_2017_hac_requirements_us_5float64Source column.``
funds_received_to_date_us_5float64Source column.``
funding_gap_8float64Source column.``
funding_gap_9float64Source column.``
appeal_sector_6stringSource column.``
total_2017_hac_requirements_us_6float64Source column.``
funds_received_to_date_us_6float64Source column.``
funding_gap_us_2float64Source column.``
funding_gap_10float64Source column.``
appeal_sector_7stringSource column.``
total_2017_hac_requirements_us_7float64Source column.``
funds_received_to_date_us_7float64Source column.``
funding_gap_11float64Source column.``
funding_gap_12float64Source column.``
appeal_sector_8stringSource column.``
total_2017_hac_requirements_us_8float64Source column.``
funds_received_to_date_us_8float64Source column.``
funding_gap_13float64Source column.``
funding_gap_14float64Source column.``
appeal_sector_9stringSource column.``
total_2017_hac_requirements_us_9float64Source column.``
funds_received_to_date_us_9float64Source column.``
funding_gap_15float64Source column.``
funding_gap_16float64Source column.``
appeal_sector_10stringSource column.``
total_2017_hac_requirements_us_10float64Source column.``
funds_received_to_date_us_10float64Source column.``
funding_gap_17float64Source column.``
funding_gap_18float64Source column.``
washstringSource column.``
of_people_with_access_to_safe_waterstringSource column.``
d_500000float64Source column.``
d_389800float64Source column.``
d_110200float64Source column.``
d_0_7796float64Source column.``

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-burundi-unicef-burundi-great-lakes-30-june-2017-2f5637fe")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

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

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_burundi_unicef_burundi_great_lakes_30_june_2017_2f5637fe_2017,
  title        = {UNICEF Burundi Great Lakes 30 June 2017 | Africa (Burundi official open data)},
  author       = {UNICEF Eastern and Southern Africa Regional Office (ESARO) (inactive)},
  year         = {2017},
  url          = {https://data.humdata.org/dataset/unicef-burundi-great-lakes-30-june-2017},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-burundi-unicef-burundi-great-lakes-30-june-2017-2f5637fe}}
}

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 2026-08-15 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/abf58988-c4d7-4515-9dcd-1cddda34f7e8/resource/eb5ee3e5-1f37-4c4a-b20d-c5fd558872f9/download/regional-database_july16-2017-esaro.xlsx