Age and sex breakdown of forcibly displaced persons, by origin and asylum country

Name: Age and sex breakdown of forcibly displaced persons, by origin and asylum country
Creator: UNHCR — Refugee Population Demographics
License: https://www.unhcr.org/what-we-do/data-and-publications/data-and-statistics/terms-use-datasets
Keywords: refugees, displacement, migration, demographics, age, sex, unhcr

Annual UNHCR demographics of forcibly displaced persons by country of origin and country of asylum: female and male counts in age bands 0–4, 5–11, 12–17, 18–59, 60+ and the provider's residual 'other' category, plus per-sex and grand totals. Coverage from 2001. Melted long: one row per origin x asylum x year x sex x age band. The provider marks missing observations with "-" (stored as null and dropped).

Source: UNHCR — Refugee Population Demographics1,751,715 lignesMis à jour: 22/09/2026Licence: CC-BY-4.0

refugeesdisplacementmigrationdemographicsagesexunhcr

Qualité

100

Attribution

UNHCR Refugee Population Statistics Database

Schéma

Colonne	Type	Description
date	timestamp	Reference year of the observation, mapped to January 1 of that year. UNHCR's population statistics are end-of-year figures.
coo_name	string	Country of origin name (provider's wording).
coo	string	Country of origin UNHCR code ("-" in the global-aggregate dataset).
coo_iso	string	Country of origin ISO code.
coa_name	string	Country of asylum name (provider's wording).
coa	string	Country of asylum UNHCR code ("-" in the global-aggregate dataset).
coa_iso	string	Country of asylum ISO code.
sex	string	Sex of the displaced persons: female, male, or all. Decoded from the provider's own field prefixes: "f_" = female, "m_" = male; "all" is the grand total across sexes (the provider's "total" field).
age_group	string	Age band decoded from the provider's field names: 0_4 (ages 0–4), 5_11 (ages 5–11), 12_17 (ages 12–17), 18_59 (ages 18–59), 60 (age 60 and over), total (all ages), and "other", the provider's own residual age category, which the source does not define further.
series_id	string	Stable machine identifier built from the provider's own codes plus the bin: UNHCR country-of-origin code, country-of-asylum code, sex and age band, e.g. "AFG.AUL.female.0_4". For the global dataset the provider's origin/asylum codes are "-".
series_label	string	Human-readable series name using the provider's own country names, e.g. "Afghanistan → Australia — Female, age 0–4".
unit	string	"persons": all measures are counts of people.
value	integer	Observed count for the sex x age band. The provider marks missing observations with "-"; these become null and are dropped from the canonical frame. Zeroes are the provider's values as published.

Exemple de lignes

date	coo_name	coo	coo_iso	coa_name	coa	coa_iso	sex	age_group	series_id	series_label	unit	value
2021-01-01T00:00:00	Aruba	ABW	ABW	Aruba	ABW	ABW	all	total	ABW.ABW.all.total	Aruba → Aruba — All sexes, all ages	persons	6000
2022-01-01T00:00:00	Aruba	ABW	ABW	Aruba	ABW	ABW	all	total	ABW.ABW.all.total	Aruba → Aruba — All sexes, all ages	persons	1700
2021-01-01T00:00:00	Aruba	ABW	ABW	Aruba	ABW	ABW	female	0_4	ABW.ABW.female.0_4	Aruba → Aruba — Female, age 0–4	persons	0
2022-01-01T00:00:00	Aruba	ABW	ABW	Aruba	ABW	ABW	female	0_4	ABW.ABW.female.0_4	Aruba → Aruba — Female, age 0–4	persons	0
2021-01-01T00:00:00	Aruba	ABW	ABW	Aruba	ABW	ABW	female	12_17	ABW.ABW.female.12_17	Aruba → Aruba — Female, age 12–17	persons	0

Télécharger un échantillon

Téléchargez l'échantillon complet de ce jeu de données (lignes d'exemple, pas le jeu complet).

Télécharger l'exemple CSV Télécharger l'exemple JSON

Utiliser avec un LLM

Dirigez n’importe quel LLM vers le point d’accès des métadonnées — la documentation ci-dessus est aussi lisible par machine (JSON-LD + Croissant).

cURL

curl "https://datazimuts.com/v1/datasets/unhcr_demographics/unhcr_displaced_age_sex" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/unhcr_demographics/unhcr_displaced_age_sex").json()
print(ds["title"], ds["rows"], "rows")

# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
    print(row)

Point d’accès API: https://datazimuts.com/v1/datasets/unhcr_demographics/unhcr_displaced_age_sex

Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.