Child marriage prevalence by country (UNICEF Data Warehouse)

Usage commercial OKÀ jourLicence: CC-BY-3.0-IGO

Le jeu complet n’est pas encore publié — revenez après la prochaine actualisation.Télécharger l'exemple CSV Télécharger l'exemple JSONLignes d’exemple seulement (jusqu’à 20) — pas le jeu de données complet.

Latest nationally-representative child-marriage estimates for ~140+ countries (keyless UNICEF Data Warehouse SDMX, Child Marriage dataflow): share of women 20-24 married before 18 (SDG 5.3.1) and before 15, plus share of girls 15-19 currently married/in union — each with estimate year, survey coverage window, source survey and within-indicator prevalence rank. The gender/child-protection layer for development, human-rights and country-risk models; joins on country_code with the catalog's other global panels. Survey-based point estimates, not an annual panel.

Les titres et les descriptions proviennent des sources de données, en anglais.

Source: UNICEF child-marriage intelligence
Lignes: 425
Colonnes: 11
Cadence de la source: Annuelle
Dernière actualisation: 4 oct. 2026
Thème: social

Colonne	Type	Description
country_code	string	ISO 3166-1 alpha-3 country code (UNICEF Data Warehouse field REF_AREA; regional aggregates dropped; XKX kept for Kosovo).
country	string	Country name from the catalog's canonical ISO3 mapper (+Kosovo override).
indicator	string	Canonical indicator slug: u18 (SDG 5.3.1), u15, or current_15_19.
indicator_label	string	Human-readable indicator definition.
value_pct	float	Latest nationally-representative estimate of the indicator, percent. (unit: %)
estimate_year	integer	Reference year of the estimate (TIME_PERIOD).
survey_coverage	string	Underlying survey window (COVERAGE_TIME, e.g. 2019-21).
data_source	string	Source survey/programme (MICS, DHS, NFHS, ...).
obs_status	string	UNICEF observation status (RP/RA).
prevalence_rank	integer	Within-indicator rank by prevalence, 1 = highest prevalence.
row_hash	string	Deterministic 12-hex row identity hash (country_code\|indicator).

10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.

country_code	country	indicator	indicator_label	value_pct	estimate_year	survey_coverage	data_source	obs_status	prevalence_rank	row_hash
AFG	Afghanistan	current_15_19	Girls 15-19 currently married/in union (%)	16,4	2 023	2022-23	MICS 2022-23	RA	37	6e3a5d6ecae7
AGO	Angola	current_15_19	Girls 15-19 currently married/in union (%)	11,9	2 024	2023-24	DHS 2023-24	RP	59	04222faba393
ALB	Albania	current_15_19	Girls 15-19 currently married/in union (%)	6,7	2 018	2017-18	DHS 2017-18	RP	100	1f888a7b0f42
ARG	Argentina	current_15_19	Girls 15-19 currently married/in union (%)	7,7	2 020	2019-20	MICS 2019-20	RP	86	094fd95d01c0
ARM	Armenia	current_15_19	Girls 15-19 currently married/in union (%)	3	2 022	2022	Population Census 2022	RP	127	f4011402b65f
AZE	Azerbaijan	current_15_19	Girls 15-19 currently married/in union (%)	9,6	2 023	2023	MICS 2023	RP	74	54a36d0643bf
BDI	Burundi	current_15_19	Girls 15-19 currently married/in union (%)	5,9	2 017	2016-17	DHS 2016-17	RP	105	ebf9f4e4a61e
BEN	Benin	current_15_19	Girls 15-19 currently married/in union (%)	12,6	2 022	2021-22	MICS 2021-22	RP	52	98b3e42f7410
BFA	Burkina Faso	current_15_19	Girls 15-19 currently married/in union (%)	23,1	2 015	2015	EMDS 2015	RP	14	29b4fc16496b
BGD	Bangladesh	current_15_19	Girls 15-19 currently married/in union (%)	38,9	2 025	2025	MICS 2025	RP	3	32617a66f3ff

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/unicef_child_marriage_intel/unicef_child_marriage_prevalence" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/unicef_child_marriage_intel/unicef_child_marriage_prevalence").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/unicef_child_marriage_intel/unicef_child_marriage_prevalence

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

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APA

UNICEF child-marriage intelligence. (2026). Child marriage prevalence by country (UNICEF Data Warehouse) [Data set, snapshot 20261004T182020Z-4476dcde1a28, sha256 4476dcde1a28]. Datazimuts. Retrieved 2026-10-05, from https://datazimuts.com/fr/datasets/unicef_child_marriage_intel/unicef_child_marriage_prevalence?snapshot=20261004T182020Z-4476dcde1a28

BibTeX

@misc{dz_unicef_child_marriage_intel_unicef_child_4476dcde,
  title        = {{Child marriage prevalence by country (UNICEF Data Warehouse)}},
  author       = {{UNICEF child-marriage intelligence}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/fr/datasets/unicef_child_marriage_intel/unicef_child_marriage_prevalence?snapshot=20261004T182020Z-4476dcde1a28}},
  note         = {Snapshot 20261004T182020Z-4476dcde1a28, sha256 4476dcde1a287075f422c4982baf3a872a5e6f327841745bf3d34cd8a1bb428e; accessed 2026-10-05}
}

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<iframe src="https://datazimuts.com/embed/chart?dataset=unicef_child_marriage_intel%2Funicef_child_marriage_prevalence&lang=fr&theme=auto&snapshot=20261004T182020Z-4476dcde1a28&x=estimate_year&y=value_pct&agg=avg" title="Child marriage prevalence by country (UNICEF Data Warehouse)" width="100%" height="380" style="border:0" loading="lazy"></iframe>

Child marriage prevalence by country (UNICEF Data Warehouse)

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