Maternal mortality ratio

Name: Maternal mortality ratio
Creator: UN SDG Global Database
License: https://www.un.org/en/aboutun/terms/
Keywords: maternal-mortality, maternal-health, sdg3, who

Maternal mortality ratio SDG indicator SH_STA_MORT (SDG goal 3). Source: UN SDG Global Database. Rows are geo-area x year x disaggregation dimensions (sex, age, location/urban-rural where published). Full source citation (UN SDG API): MMEIG estimates available at https://www.who.int/publications/i/item/9789240108462.

Source: UN SDG Global Database5,640 lignesMis à jour: 21/09/2026

maternal-mortalitymaternal-healthsdg3who

Qualité

Attribution

United Nations Statistics Division, SDG Global Database

Schéma

Colonne	Type	Description
date	timestamp	Start date of the observation year (UN SDG API field timePeriodStart).
year	integer	Year of observation (UN SDG API field timePeriodStart).
series_id	string	Stable row key: geo-area code plus the SDG dimension codes for this observation.
series_label	string	Human-readable label: geo-area name plus the UN SDG API dimension code descriptions for this observation.
geo_area_code	string	UN SDG API field geoAreaCode (UN M49 area code; aggregates such as regions and income groups use codes like 2 for Africa).
geo_area_name	string	Geo-area name (UN SDG API field geoAreaName).
sex	string	Disaggregation dimension from the UN SDG API (dimension 'Sex'). Provider code values include: FEMALE: Female; BOTHSEX: Both sexes.
reporting_type	string	Disaggregation dimension from the UN SDG API (dimension 'Reporting Type'). Provider code values include: N: National; G: Global.
unit	string	Measurement unit description from the UN SDG API 'Units' attribute metadata for this series.
data_nature	string	Nature of the data point from the UN SDG API 'Nature' attribute metadata (e.g. Country data, Estimated data, Modelled data, Global monitoring data).
source	string	Source credit from the UN SDG API record (UN SDG API field source). Runs of 10+ digits are stripped from this per-row credit because they falsely trip the platform's phone-number PII heuristic; the full verbatim citation is preserved in the dataset description.
value	float	Estimate value for the geo-area, year and disaggregation dimensions, as published in the UN SDG Global Database (UN SDG API field value). Definition and unit are those of the SDG series — see the dataset description.
low	float	Lower bound of the published uncertainty interval (UN SDG API field lowerBound). Only present when the series publishes it.
high	float	Upper bound of the published uncertainty interval (UN SDG API field upperBound). Only present when the series publishes it.

Exemple de lignes

date	year	series_id	series_label	geo_area_code	geo_area_name	sex	reporting_type	unit	data_nature	source	value	low	high
2000-01-01T00:00:00	2000	1.FEMALE.G	World — Female — Global	1	World	FEMALE	G	Per 100,000 live births	Non-relevant	MMEIG estimates available at https://www.who.int/publications/i/item	327.62899	308.78183	348.62009
2001-01-01T00:00:00	2001	1.FEMALE.G	World — Female — Global	1	World	FEMALE	G	Per 100,000 live births	Non-relevant	MMEIG estimates available at https://www.who.int/publications/i/item	321.17522	303.03583	341.54419
2002-01-01T00:00:00	2002	1.FEMALE.G	World — Female — Global	1	World	FEMALE	G	Per 100,000 live births	Non-relevant	MMEIG estimates available at https://www.who.int/publications/i/item	311.38922	293.99563	330.99688
2003-01-01T00:00:00	2003	1.FEMALE.G	World — Female — Global	1	World	FEMALE	G	Per 100,000 live births	Non-relevant	MMEIG estimates available at https://www.who.int/publications/i/item	300.77099	284.33819	319.32004
2004-01-01T00:00:00	2004	1.FEMALE.G	World — Female — Global	1	World	FEMALE	G	Per 100,000 live births	Non-relevant	MMEIG estimates available at https://www.who.int/publications/i/item	290.93301	275.28348	308.99006

Télécharger un échantillon

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

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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/unsdg/maternal_mortality_ratio" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/unsdg/maternal_mortality_ratio").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/unsdg/maternal_mortality_ratio

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