UN Sustainable Development Goals Data
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Pay per usage
UN Sustainable Development Goals Data
Extract UN SDG indicators — poverty, health, education, climate for all countries. Global development research, NGO analysis, policy monitoring.
Pricing
Pay per usage
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Developer
Chris Wakefield
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1
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6 days ago
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UN SDG Indicator Normalizer
Search and retrieve official United Nations Sustainable Development Goal (SDG) indicators, returned as clean, analysis-ready records. The Actor resolves SDG series metadata, normalizes country names, preserves goal/target/indicator codes, standardizes units and dimensions, and deduplicates records.
Why use it?
Policy teams, NGOs, ESG analysts, researchers, development economists and AI data pipelines can query the UN SDG database without learning its API or cleaning inconsistent dimensions themselves.
Input parameters
| Parameter | Required | Description |
|---|---|---|
searchQuery | Yes | Text in an indicator/series description, e.g. poverty, emissions, education, gender |
countries | No | Comma-separated UN numeric area codes (1 World, 826 UK, 840 US, 156 China, 356 India) |
years | No | Year list or range, e.g. 2019-2022 |
maxIndicators | No | Maximum matching series, 1–20 (default 5) |
maxResults | No | Maximum output records, 1–500 (default 100) |
Example input
{"searchQuery":"poverty","countries":"1,826,840","years":"2020-2022","maxIndicators":3,"maxResults":50}
Example output
{"seriesCode":"SI_POV_DAY1","seriesDescription":"Proportion of population below international poverty line (%)","goalCodes":["1"],"targetCodes":["1.1"],"indicatorCodes":["1.1.1"],"countryCode":"1","country":"Global aggregate","year":2022,"value":"10.9","unit":"PERCENT","nature":"N","dimensions":{"Age":"ALLAGE","Location":"ALLAREA","Sex":"BOTHSEX","Reporting Type":"G"}}
The run also provides a formatted table in the OUTPUT key-value record and compact query statistics in STATS.
Data source and attribution
Data is retrieved live from the United Nations Statistics Division SDG API. The UN SDG Global Database is authoritative public statistical data; users should review each record’s source and footnotes for methodology and revision details.