electricsheepafrica/africa-libya-libya-humanitarian-needs-overview-e6d15dae

Libya: Humanitarian Needs Overview | Africa (Libya official open data)

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

TL;DR

This dataset packages one official XLSX resource from Libya 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: Libya: Humanitarian Needs Overview
• Publisher: OCHA Libya (inactive)
• Resource: LBY_HNO_2018.xlsx
• Format: XLSX
• License: CC BY 4.0
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
LBY	286	2018	2018	Libya

Indicators or Resource Contents

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

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier for tabular resources.	4b0349e3-d4d4-41ec-8d17-15e0566bf467:pin-by-admin1:0
country_iso3	category	ISO3 country code.	LBY
country_name	category	Country name.	Libya
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	PiN by admin1
year	Int64	Observation year.	2018
country	string	Source column.	#country+name
country_code	string	Source column.	#country+code
region	string	Source column.	#adm1+name
region_code	string	Source column.	#adm1+code
in_need	string	Source column.	#inneed
source_period_start_year	Int64	First year inferred from source resource metadata.	2018
source_period_end_year	Int64	Last year inferred from source resource metadata.	2018
source_period_label	category	Human-readable period inferred from source resource metadata.	2018
source_provider	category	Publishing organization.	OCHA Libya (inactive)
source_dataset	category	Source package title.	Libya: Humanitarian Needs Overview
source_resource	category	Source resource title.	LBY_HNO_2018.xlsx
source_package_id	category	CKAN package UUID.	f2557dd3-3343-416c-8041-978940523044
source_resource_id	category	CKAN resource UUID.	4b0349e3-d4d4-41ec-8d17-15e0566bf467
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/f2557dd3-3343-416c-8041-978940523044/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-17T13:13:43Z
adm1_pcode	string	Source column.	``
manitka	string	Source column.	``
adm2_pcode	string	Source column.	``
idps	float64	Source column.	``
returnees	float64	Source column.	``
migrants_refugees_asylum_seekers	float64	Source column.	``
non_displaced	float64	Source column.	``
overall_people_in_need	float64	Source column.	``
male	float64	Source column.	``
female	float64	Source column.	``
of_male	float64	Source column.	``
of_female	float64	Source column.	``
children	float64	Source column.	``
of_children	float64	Source column.	``
adult	float64	Source column.	``
of_adult	float64	Source column.	``
elderly	float64	Source column.	``
of_elderly	float64	Source column.	``
sector	string	Source column.	``
inneed_idps_all	float64	Source column.	``
inneed_returnees_all	float64	Source column.	``
inneed_migrants_refugees_asylum_seekers	float64	Source column.	``
inneed_non_displaced	float64	Source column.	``
inneed_all	float64	Source column.	``
inneed_m_all	float64	Source column.	``
inneed_f_all	float64	Source column.	``
inneed_m_percent	float64	Source column.	``
inneed_f_percent	float64	Source column.	``
inneed_children_all	float64	Source column.	``
inneed_adults_all	float64	Source column.	``
inneed_elderly_all	float64	Source column.	``
inneed_children_percent	float64	Source column.	``
inneed_adults_percent	float64	Source column.	``
inneed_elderly_percent	float64	Source column.	``
bcs_population_2017	float64	Source column.	``
male_2	float64	Source column.	``
female_2	float64	Source column.	``
d_0_18t	float64	Source column.	``
d_0_18t_2	float64	Source column.	``
d_0_18m	float64	Source column.	``
male_0_18	float64	Source column.	``
d_0_18f	float64	Source column.	``
female_0_18	float64	Source column.	``
d_19_59_t	float64	Source column.	``
d_19_59_t_2	float64	Source column.	``
d_20_59_m	float64	Source column.	``
male_20_59	float64	Source column.	``
d_20_59_f	float64	Source column.	``
female_20_59	float64	Source column.	``
d_59	float64	Source column.	``
d_59_2	float64	Source column.	``
d_59_m	float64	Source column.	``
male_59	float64	Source column.	``
d_59_f	float64	Source column.	``
female_59	float64	Source column.	``
mantika	string	Source column.	``
idps_round_12	float64	Source column.	``
wash	float64	Source column.	``
education	float64	Source column.	``
protection	float64	Source column.	``
shelter_nfis	float64	Source column.	``
health	float64	Source column.	``
food_security	float64	Source column.	``
max_idps	float64	Source column.	``
number_check	string	Source column.	``
children_0_17	float64	Source column.	``
adults_18_59	float64	Source column.	``
elderly_60	float64	Source column.	``
returnees_round_12	float64	Source column.	``
max_returnees	float64	Source column.	``
migrants_refugees_round_12	float64	Source column.	``
max_migrants	float64	Source column.	``
children_0_17_years	float64	Source column.	``
column1	string	Source column.	``
children_2	float64	Source column.	``
overall_non_displaced_in_need	float64	Source column.	``
max_non_displaced	float64	Source column.	``
children_0_18	float64	Source column.	``
adults_19_59	float64	Source column.	``
male_children	float64	Source column.	``
male_children_2	float64	Source column.	``
female_children	float64	Source column.	``
female_children_2	float64	Source column.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-libya-libya-humanitarian-needs-overview-e6d15dae")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "LBY"]

Work with indicators

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

@misc{electric_sheep_africa_africa_libya_libya_humanitarian_needs_overview_e6d15dae_2018,
  title        = {Libya: Humanitarian Needs Overview | Africa (Libya official open data)},
  author       = {OCHA Libya (inactive)},
  year         = {2018},
  url          = {https://data.humdata.org/dataset/libya-humanitarian-needs-overview},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-libya-libya-humanitarian-needs-overview-e6d15dae}}
}

License

Released under CC BY 4.0.

Original data (c) OCHA Libya (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/f2557dd3-3343-416c-8041-978940523044/resource/4b0349e3-d4d4-41ec-8d17-15e0566bf467/download/libya-hno-2018.xlsx