Maternal mortality ratio
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 rowsUpdated: 9/21/2026
maternal-mortalitymaternal-healthsdg3who
Quality
97
Attribution
United Nations Statistics Division, SDG Global Database
Schema
| Column | 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. |
Sample rows
| 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 |
Download sample data
Download the full sample snapshot for this dataset (sample rows, not the complete dataset).
Use with an LLM
Point any LLM at the metadata endpoint — the documentation above is machine-readable too (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)API endpoint: https://datazimuts.com/v1/datasets/unsdg/maternal_mortality_ratio
Tip: fetch /llms.txt for the full machine-readable catalog.