Age and sex breakdown of forcibly displaced persons, world total
The provider's own global aggregates of the demographics series: worldwide annual counts of forcibly displaced persons by sex and age band (0–4, 5–11, 12–17, 18–59, 60+, residual 'other', plus totals), 2001 to present. The world trend companion to the origin-x-asylum matrix.
refugeesdisplacementmigrationdemographicsagesexunhcrglobal
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2001-01-01T00:00:00 | - | - | - | - | - | - | all | total | -.-.all.total | - → - — All sexes, all ages | persons | 19899042 |
| 2002-01-01T00:00:00 | - | - | - | - | - | - | all | total | -.-.all.total | - → - — All sexes, all ages | persons | 20891654 |
| 2003-01-01T00:00:00 | - | - | - | - | - | - | all | total | -.-.all.total | - → - — All sexes, all ages | persons | 17007546 |
| 2004-01-01T00:00:00 | - | - | - | - | - | - | all | total | -.-.all.total | - → - — All sexes, all ages | persons | 19517152 |
| 2005-01-01T00:00:00 | - | - | - | - | - | - | all | total | -.-.all.total | - → - — All sexes, all ages | persons | 21048120 |
Télécharger un échantillon
Téléchargez l'échantillon complet de ce jeu de données (lignes d'exemple, pas le jeu complet).
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_global" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/unhcr_demographics/unhcr_displaced_age_sex_global").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_global
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.