electricsheepafrica/africa-libya-libya-migration-data-migrants-baseline-assessment-iom-dtm-d130c49d

Libya Migration Data - [Migrants] - Baseline Assessment [IOM DTM] | Africa (Libya official open data)

4,590 rows - 1 Africa country - 2019-2022 - 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 Migration Data - [Migrants] - Baseline Assessment [IOM DTM]
• Publisher: International Organization for Migration (IOM)
• Resource: DTM Libya Migrants Baseline Assessment Round 43
• Format: XLSX
• License: CC BY 4.0
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
LBY	4,590	2019	2022	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.	9627d24d-6244-4e78-88e9-7815a909483b:summary: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.	Summary
geodivision	string	Source column.	East
mantika_region	string	Source column.	Al Jabal Al Akhdar
migrants_ind	float64	Source column.	11500.0
by_region	float64	Source column.	0.0169124113569048
column_5	float64	Source column.	``
column_6	float64	Source column.	``
niger	string	Source column.	Egypt
d_162825	float64	Source column.	144543.0
d_0_23945768514678503	float64	Source column.	0.2125713630227038
source_period_start_year	Int64	First year inferred from source resource metadata.	2019
source_period_end_year	Int64	Last year inferred from source resource metadata.	2022
source_period_label	category	Human-readable period inferred from source resource metadata.	2019-2022
source_provider	category	Publishing organization.	International Organization for Migration (IOM)
source_dataset	category	Source package title.	Libya Migration Data - [Migrants] - Baseline Assessment [IOM DTM]
source_resource	category	Source resource title.	DTM Libya Migrants Baseline Assessment Round 43
source_package_id	category	CKAN package UUID.	cacf12d4-22b1-438f-bcb4-78aa9078ab94
source_resource_id	category	CKAN resource UUID.	9627d24d-6244-4e78-88e9-7815a909483b
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/cacf12d4-22b1-438f-bcb4-78aa9078ab94/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-17T13:13:43Z
adm_1_geodivision_en	string	Source column.	``
adm_1_geodivision_ar	string	Source column.	``
adm_2_mantika_region_en	string	Source column.	``
adm_2_mantika_region_ar	string	Source column.	``
adm_3_baladiya_area_en	string	Source column.	``
adm_3_baladiya_area_ar	string	Source column.	``
baladiya_pcode	string	Source column.	``
lat	float64	Source column.	``
long	float64	Source column.	``
assessmentround	float64	Source column.	``
adm1_region_en	string	Source column.	``
adm2_mantika_en	string	Source column.	``
adm3_baladiya_en	string	Source column.	``
adm4_muhalla_en	string	Source column.	``
adm4_muhalla_ar	string	Source column.	``
muhalla_pcode	string	Source column.	``
muhalla_type	string	Source column.	``
latitude	float64	Source column.	``
longitude	float64	Source column.	``
migrants_in_muhalla	string	Source column.	``
migrant_ind	float64	Source column.	``
rented_accomodation_self_paid_ind	float64	Source column.	``
rented_accomodation_paind_by_others_ind	float64	Source column.	``
rented_accomodation_paind_by_employer_ind	float64	Source column.	``
squatting_on_other_people_s_properties_ind	float64	Source column.	``
abondoned_buildings_ind	float64	Source column.	``
sheltered_in_their_workplace_ind	float64	Source column.	``
schools_or_other_public_buildings_ind	float64	Source column.	``
in_informal_camp_setting_ind	float64	Source column.	``
no_accomodation_ind	float64	Source column.	``
other_shelter	float64	Source column.	``
migrants_arrived_last_month	float64	Source column.	``
migrants_arrived_between_1_to_6_months_ago	float64	Source column.	``
migrants_arrived_between_6_to_12_months_ago	float64	Source column.	``
migrants_arrived_over_12_months_ago	float64	Source column.	``
migrants_arrival_time_unknown	float64	Source column.	``
migrants_with_residency_permit	float64	Source column.	``
migrants_with_work_permit	float64	Source column.	``
migrants_with_no_permit	float64	Source column.	``
migrants_permit_status_unknown	float64	Source column.	``
migrants_adult_men	float64	Source column.	``
migrants_adult_women	float64	Source column.	``
migrants_children	float64	Source column.	``
priority_need_1	string	Source column.	``
priority_need_1_problem	string	Source column.	``
priority_need_2	string	Source column.	``
priority_need_2_problem	string	Source column.	``
priority_need_3	string	Source column.	``
priority_need_3_problem	string	Source column.	``
adm_4_muhalla_en	string	Source column.	``
adm_4_muhalla_ar	string	Source column.	``
muhalla_p_code	string	Source column.	``
region1	string	Source column.	``
region_2	string	Source column.	``
migrant_nationality	string	Source column.	``
migrant_individuals	float64	Source column.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-libya-libya-migration-data-migrants-baseline-assessment-iom-dtm-d130c49d")
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_migration_data_migrants_baseline_assessment_iom_dtm_d130c49d_2022,
  title        = {Libya Migration Data - [Migrants] - Baseline Assessment [IOM DTM] | Africa (Libya official open data)},
  author       = {International Organization for Migration (IOM)},
  year         = {2022},
  url          = {https://data.humdata.org/dataset/libya-migration-data-migrants-baseline-assessment-iom-dtm},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-libya-libya-migration-data-migrants-baseline-assessment-iom-dtm-d130c49d}}
}

License

Released under CC BY 4.0.

Original data (c) International Organization for Migration (IOM). 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

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Provenance: ingested 2026-08-17 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/cacf12d4-22b1-438f-bcb4-78aa9078ab94/resource/9627d24d-6244-4e78-88e9-7815a909483b/download/dtm-libya-r43-public-migrants-dataset.xlsx