How does Australia compare to other rich countries on the SDGs?

References

Data extracted 16 September 2026. Reviewed 2026-09-16 by Aard Data Team. Each numbered entry is the publication that documents the figures; the calls beneath it are the ones the retrieval actually made, and each figure is numbered under its publication — 1.1, 1.2 — and links to the narrowest call that returns it.

1. [1]United Nations Statistics Division, SDG Indicators Global Database — indicator 11.6.2, fine particulate matter, Extracted September 2026
   Vintage: Series EN_ATM_PM25, population-weighted annual mean PM2.5 by degree of urbanisation. Modelled estimates combining satellite retrievals, chemical transport models and ground measurements. The World Health Organization's 2021 air quality guideline for annual mean PM2.5 is 5 micrograms per cubic metre.
   • API Calls: · extracted 16 September 2026
     UNSD-SDG:EN_ATM_PM25https://unstats.un.org/SDGAPI/v1/sdg/Series/Data?seriesCode=EN_ATM_PM25&pageSize=20000&timePeriodStart=2023&timePeriodEnd=2023

     • 1.18.93 µg/m³derived here · 2023 · Median of the 38 OECD members in this response· The median of the 38 OECD members returned by this call. A median is computed across the response, not published in it.
     • 1.24.118 µg/m³whole response · 2023 · Finland· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Location dimension: both `Location=<code>` and `dimensions[Location]=<code>` are accepted and ignored. The narrowest call it honours still returns five rows, one per location (CITY, URBAN, ALLAREA, RURAL, TSUB) for the country-year, so no URL returns this figure alone. This value is the ALLAREA (all areas) row.
     • 1.34.62 µg/m³whole response · 2023 · Sweden· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Location dimension: both `Location=<code>` and `dimensions[Location]=<code>` are accepted and ignored. The narrowest call it honours still returns five rows, one per location (CITY, URBAN, ALLAREA, RURAL, TSUB) for the country-year, so no URL returns this figure alone. This value is the ALLAREA (all areas) row.
     • 1.45.093 µg/m³whole response · 2023 · Norway· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Location dimension: both `Location=<code>` and `dimensions[Location]=<code>` are accepted and ignored. The narrowest call it honours still returns five rows, one per location (CITY, URBAN, ALLAREA, RURAL, TSUB) for the country-year, so no URL returns this figure alone. This value is the ALLAREA (all areas) row.
     • 1.55.249 µg/m³whole response · 2023 · Estonia· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Location dimension: both `Location=<code>` and `dimensions[Location]=<code>` are accepted and ignored. The narrowest call it honours still returns five rows, one per location (CITY, URBAN, ALLAREA, RURAL, TSUB) for the country-year, so no URL returns this figure alone. This value is the ALLAREA (all areas) row.
     • 1.65.645 µg/m³whole response · 2023 · Iceland· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Location dimension: both `Location=<code>` and `dimensions[Location]=<code>` are accepted and ignored. The narrowest call it honours still returns five rows, one per location (CITY, URBAN, ALLAREA, RURAL, TSUB) for the country-year, so no URL returns this figure alone. This value is the ALLAREA (all areas) row.
     • 1.75.902 µg/m³whole response · 2023 · New Zealand· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Location dimension: both `Location=<code>` and `dimensions[Location]=<code>` are accepted and ignored. The narrowest call it honours still returns five rows, one per location (CITY, URBAN, ALLAREA, RURAL, TSUB) for the country-year, so no URL returns this figure alone. This value is the ALLAREA (all areas) row.
     • 1.86.208 µg/m³whole response · 2023 · Portugal· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Location dimension: both `Location=<code>` and `dimensions[Location]=<code>` are accepted and ignored. The narrowest call it honours still returns five rows, one per location (CITY, URBAN, ALLAREA, RURAL, TSUB) for the country-year, so no URL returns this figure alone. This value is the ALLAREA (all areas) row.
     • 1.96.226 µg/m³whole response · 2023 · Australia· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Location dimension: both `Location=<code>` and `dimensions[Location]=<code>` are accepted and ignored. The narrowest call it honours still returns five rows, one per location (CITY, URBAN, ALLAREA, RURAL, TSUB) for the country-year, so no URL returns this figure alone. This value is the ALLAREA (all areas) row.
     • 1.106.623 µg/m³whole response · 2023 · Ireland· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Location dimension: both `Location=<code>` and `dimensions[Location]=<code>` are accepted and ignored. The narrowest call it honours still returns five rows, one per location (CITY, URBAN, ALLAREA, RURAL, TSUB) for the country-year, so no URL returns this figure alone. This value is the ALLAREA (all areas) row.
     • 1.116.975 µg/m³whole response · 2023 · Luxembourg· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Location dimension: both `Location=<code>` and `dimensions[Location]=<code>` are accepted and ignored. The narrowest call it honours still returns five rows, one per location (CITY, URBAN, ALLAREA, RURAL, TSUB) for the country-year, so no URL returns this figure alone. This value is the ALLAREA (all areas) row.
     • 1.127.713 µg/m³whole response · 2023 · Denmark· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Location dimension: both `Location=<code>` and `dimensions[Location]=<code>` are accepted and ignored. The narrowest call it honours still returns five rows, one per location (CITY, URBAN, ALLAREA, RURAL, TSUB) for the country-year, so no URL returns this figure alone. This value is the ALLAREA (all areas) row.
     • 1.137.948 µg/m³whole response · 2023 · United Kingdom of Great Britain and Northern Ireland· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Location dimension: both `Location=<code>` and `dimensions[Location]=<code>` are accepted and ignored. The narrowest call it honours still returns five rows, one per location (CITY, URBAN, ALLAREA, RURAL, TSUB) for the country-year, so no URL returns this figure alone. This value is the ALLAREA (all areas) row.
     • 1.148.029 µg/m³whole response · 2023 · Spain· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Location dimension: both `Location=<code>` and `dimensions[Location]=<code>` are accepted and ignored. The narrowest call it honours still returns five rows, one per location (CITY, URBAN, ALLAREA, RURAL, TSUB) for the country-year, so no URL returns this figure alone. This value is the ALLAREA (all areas) row.
     • 1.158.128 µg/m³whole response · 2023 · Switzerland· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Location dimension: both `Location=<code>` and `dimensions[Location]=<code>` are accepted and ignored. The narrowest call it honours still returns five rows, one per location (CITY, URBAN, ALLAREA, RURAL, TSUB) for the country-year, so no URL returns this figure alone. This value is the ALLAREA (all areas) row.
     • 1.168.171 µg/m³whole response · 2023 · Lithuania· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Location dimension: both `Location=<code>` and `dimensions[Location]=<code>` are accepted and ignored. The narrowest call it honours still returns five rows, one per location (CITY, URBAN, ALLAREA, RURAL, TSUB) for the country-year, so no URL returns this figure alone. This value is the ALLAREA (all areas) row.
     • 1.178.497 µg/m³whole response · 2023 · Japan· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Location dimension: both `Location=<code>` and `dimensions[Location]=<code>` are accepted and ignored. The narrowest call it honours still returns five rows, one per location (CITY, URBAN, ALLAREA, RURAL, TSUB) for the country-year, so no URL returns this figure alone. This value is the ALLAREA (all areas) row.
     • 1.188.692 µg/m³whole response · 2023 · Germany· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Location dimension: both `Location=<code>` and `dimensions[Location]=<code>` are accepted and ignored. The narrowest call it honours still returns five rows, one per location (CITY, URBAN, ALLAREA, RURAL, TSUB) for the country-year, so no URL returns this figure alone. This value is the ALLAREA (all areas) row.
     • 1.198.806 µg/m³whole response · 2023 · France· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Location dimension: both `Location=<code>` and `dimensions[Location]=<code>` are accepted and ignored. The narrowest call it honours still returns five rows, one per location (CITY, URBAN, ALLAREA, RURAL, TSUB) for the country-year, so no URL returns this figure alone. This value is the ALLAREA (all areas) row.
     • 1.208.829 µg/m³whole response · 2023 · Canada· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Location dimension: both `Location=<code>` and `dimensions[Location]=<code>` are accepted and ignored. The narrowest call it honours still returns five rows, one per location (CITY, URBAN, ALLAREA, RURAL, TSUB) for the country-year, so no URL returns this figure alone. This value is the ALLAREA (all areas) row.
     • 1.219.032 µg/m³whole response · 2023 · Netherlands (Kingdom of the)· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Location dimension: both `Location=<code>` and `dimensions[Location]=<code>` are accepted and ignored. The narrowest call it honours still returns five rows, one per location (CITY, URBAN, ALLAREA, RURAL, TSUB) for the country-year, so no URL returns this figure alone. This value is the ALLAREA (all areas) row.
     • 1.229.535 µg/m³whole response · 2023 · Austria· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Location dimension: both `Location=<code>` and `dimensions[Location]=<code>` are accepted and ignored. The narrowest call it honours still returns five rows, one per location (CITY, URBAN, ALLAREA, RURAL, TSUB) for the country-year, so no URL returns this figure alone. This value is the ALLAREA (all areas) row.
     • 1.239.562 µg/m³whole response · 2023 · Belgium· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Location dimension: both `Location=<code>` and `dimensions[Location]=<code>` are accepted and ignored. The narrowest call it honours still returns five rows, one per location (CITY, URBAN, ALLAREA, RURAL, TSUB) for the country-year, so no URL returns this figure alone. This value is the ALLAREA (all areas) row.
     • 1.249.644 µg/m³whole response · 2023 · Latvia· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Location dimension: both `Location=<code>` and `dimensions[Location]=<code>` are accepted and ignored. The narrowest call it honours still returns five rows, one per location (CITY, URBAN, ALLAREA, RURAL, TSUB) for the country-year, so no URL returns this figure alone. This value is the ALLAREA (all areas) row.
     • 1.259.831 µg/m³whole response · 2023 · United States of America· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Location dimension: both `Location=<code>` and `dimensions[Location]=<code>` are accepted and ignored. The narrowest call it honours still returns five rows, one per location (CITY, URBAN, ALLAREA, RURAL, TSUB) for the country-year, so no URL returns this figure alone. This value is the ALLAREA (all areas) row.
     • 1.2610.968 µg/m³whole response · 2023 · Czechia· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Location dimension: both `Location=<code>` and `dimensions[Location]=<code>` are accepted and ignored. The narrowest call it honours still returns five rows, one per location (CITY, URBAN, ALLAREA, RURAL, TSUB) for the country-year, so no URL returns this figure alone. This value is the ALLAREA (all areas) row.
     • 1.2711.21 µg/m³whole response · 2023 · Hungary· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Location dimension: both `Location=<code>` and `dimensions[Location]=<code>` are accepted and ignored. The narrowest call it honours still returns five rows, one per location (CITY, URBAN, ALLAREA, RURAL, TSUB) for the country-year, so no URL returns this figure alone. This value is the ALLAREA (all areas) row.
     • 1.2812.121 µg/m³whole response · 2023 · Slovenia· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Location dimension: both `Location=<code>` and `dimensions[Location]=<code>` are accepted and ignored. The narrowest call it honours still returns five rows, one per location (CITY, URBAN, ALLAREA, RURAL, TSUB) for the country-year, so no URL returns this figure alone. This value is the ALLAREA (all areas) row.
     • 1.2912.312 µg/m³whole response · 2023 · Slovakia· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Location dimension: both `Location=<code>` and `dimensions[Location]=<code>` are accepted and ignored. The narrowest call it honours still returns five rows, one per location (CITY, URBAN, ALLAREA, RURAL, TSUB) for the country-year, so no URL returns this figure alone. This value is the ALLAREA (all areas) row.
     • 1.3013.3 µg/m³whole response · 2023 · Italy· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Location dimension: both `Location=<code>` and `dimensions[Location]=<code>` are accepted and ignored. The narrowest call it honours still returns five rows, one per location (CITY, URBAN, ALLAREA, RURAL, TSUB) for the country-year, so no URL returns this figure alone. This value is the ALLAREA (all areas) row.
     • 1.3114.381 µg/m³whole response · 2023 · Greece· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Location dimension: both `Location=<code>` and `dimensions[Location]=<code>` are accepted and ignored. The narrowest call it honours still returns five rows, one per location (CITY, URBAN, ALLAREA, RURAL, TSUB) for the country-year, so no URL returns this figure alone. This value is the ALLAREA (all areas) row.
     • 1.3214.557 µg/m³whole response · 2023 · Colombia· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Location dimension: both `Location=<code>` and `dimensions[Location]=<code>` are accepted and ignored. The narrowest call it honours still returns five rows, one per location (CITY, URBAN, ALLAREA, RURAL, TSUB) for the country-year, so no URL returns this figure alone. This value is the ALLAREA (all areas) row.
     • 1.3314.732 µg/m³whole response · 2023 · Poland· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Location dimension: both `Location=<code>` and `dimensions[Location]=<code>` are accepted and ignored. The narrowest call it honours still returns five rows, one per location (CITY, URBAN, ALLAREA, RURAL, TSUB) for the country-year, so no URL returns this figure alone. This value is the ALLAREA (all areas) row.
     • 1.3415.482 µg/m³whole response · 2023 · Costa Rica· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Location dimension: both `Location=<code>` and `dimensions[Location]=<code>` are accepted and ignored. The narrowest call it honours still returns five rows, one per location (CITY, URBAN, ALLAREA, RURAL, TSUB) for the country-year, so no URL returns this figure alone. This value is the ALLAREA (all areas) row.
     • 1.3516.131 µg/m³whole response · 2023 · Mexico· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Location dimension: both `Location=<code>` and `dimensions[Location]=<code>` are accepted and ignored. The narrowest call it honours still returns five rows, one per location (CITY, URBAN, ALLAREA, RURAL, TSUB) for the country-year, so no URL returns this figure alone. This value is the ALLAREA (all areas) row.
     • 1.3616.898 µg/m³whole response · 2023 · Israel· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Location dimension: both `Location=<code>` and `dimensions[Location]=<code>` are accepted and ignored. The narrowest call it honours still returns five rows, one per location (CITY, URBAN, ALLAREA, RURAL, TSUB) for the country-year, so no URL returns this figure alone. This value is the ALLAREA (all areas) row.
     • 1.3719.182 µg/m³whole response · 2023 · Republic of Korea· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Location dimension: both `Location=<code>` and `dimensions[Location]=<code>` are accepted and ignored. The narrowest call it honours still returns five rows, one per location (CITY, URBAN, ALLAREA, RURAL, TSUB) for the country-year, so no URL returns this figure alone. This value is the ALLAREA (all areas) row.
     • 1.3820.582 µg/m³whole response · 2023 · Türkiye· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Location dimension: both `Location=<code>` and `dimensions[Location]=<code>` are accepted and ignored. The narrowest call it honours still returns five rows, one per location (CITY, URBAN, ALLAREA, RURAL, TSUB) for the country-year, so no URL returns this figure alone. This value is the ALLAREA (all areas) row.
     • 1.3921.473 µg/m³whole response · 2023 · Chile· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Location dimension: both `Location=<code>` and `dimensions[Location]=<code>` are accepted and ignored. The narrowest call it honours still returns five rows, one per location (CITY, URBAN, ALLAREA, RURAL, TSUB) for the country-year, so no URL returns this figure alone. This value is the ALLAREA (all areas) row.

     ALL 38 OECD MEMBERS IN THIS RESPONSE, so the rank and the median reproduce from this record alone rather than from a handful of named countries. THE SELECTION NEEDS Location=ALLAREA: the call returns five degrees of urbanisation per country and the page compares the all-areas figure. Every observation is Nature=E, a WHO estimate. Note how close the ranking is at Australia's position: Portugal is 6.208 and Australia 6.226, so 7th and 8th are separated by two hundredths of a microgram. Omitting areaCode and pinning the year returns every reporting country; the page keeps the 38 OECD members, which is the comparison set the first caveat describes and the only indicator on the page that covers all of them alongside parliamentary representation. Australia's rank and the median are read off this one response.

   • Read from the publication · extracted 16 September 2026

     Read from the publication, not from a call: Indicator 11.6.2 metadata, WHO 2021 global air quality guideline for annual mean PM2.5, SDG Indicators Global Database

     • 1.405 µg/m³ · 2021

     The guideline is a health threshold the WHO sets, not an Australian measurement, so it is its own record and the charts draw it as a reference line. The SDG Indicators Global Database serves this as series metadata rather than as an observation, so there is no call to name; the figures beside it on the page cite the call that returned them.

   Source: United Nations Statistics Division, SDG Indicators Global Database, indicator 11.6.2 (custodian agency: World Health Organization), extracted 16 September 2026. Licensed under CC BY 3.0 IGO. CC BY 3.0 IGO
2. [2]United Nations Statistics Division, SDG Indicators Global Database — indicator 5.5.1, seats held by women in national parliaments, Extracted September 2026
   Vintage: Series SG_GEN_PARL. Seats in the single or lower chamber as at 1 January of the year shown, from the IPU Parline database. An election changes the figure reported for the following January, not for the year the election was held.
   • API Calls: · extracted 16 September 2026
     UNSD-SDG:SG_GEN_PARLhttps://unstats.un.org/SDGAPI/v1/sdg/Series/Data?seriesCode=SG_GEN_PARL&pageSize=20000&timePeriodStart=2026&timePeriodEnd=2026

     • 2.135.26 % of seatsderived here · 2026 · Median of the 38 OECD members in this response· The median of the 38 OECD members returned by this call. A median is computed across the response, not published in it.
     • 2.250.4 % of seats · 2026 · MexicoSG_GEN_PARL.484
     • 2.349.12 % of seats · 2026 · Costa RicaSG_GEN_PARL.188
     • 2.446.03 % of seats · 2026 · IcelandSG_GEN_PARL.352
     • 2.546 % of seats · 2026 · AustraliaSG_GEN_PARL.36
     • 2.645.53 % of seats · 2026 · New ZealandSG_GEN_PARL.554
     • 2.745.5 % of seats · 2026 · FinlandSG_GEN_PARL.246
     • 2.844.7 % of seats · 2026 · SwedenSG_GEN_PARL.752
     • 2.944.13 % of seats · 2026 · DenmarkSG_GEN_PARL.208
     • 2.1044 % of seats · 2026 · SpainSG_GEN_PARL.724
     • 2.1143.33 % of seats · 2026 · Netherlands (Kingdom of the)SG_GEN_PARL.528
     • 2.1242.6 % of seats · 2026 · NorwaySG_GEN_PARL.578
     • 2.1340.67 % of seats · 2026 · BelgiumSG_GEN_PARL.56
     • 2.1440.62 % of seats · 2026 · United Kingdom of Great Britain and Northern IrelandSG_GEN_PARL.826
     • 2.1539.7 % of seats · 2026 · SwitzerlandSG_GEN_PARL.756
     • 2.1637.78 % of seats · 2026 · SloveniaSG_GEN_PARL.705
     • 2.1737 % of seats · 2026 · LatviaSG_GEN_PARL.428
     • 2.1836.52 % of seats · 2026 · PortugalSG_GEN_PARL.620
     • 2.1936.17 % of seats · 2026 · FranceSG_GEN_PARL.250
     • 2.2035.52 % of seats · 2026 · AustriaSG_GEN_PARL.40
     • 2.2135 % of seats · 2026 · LuxembourgSG_GEN_PARL.442
     • 2.2234.84 % of seats · 2026 · ChileSG_GEN_PARL.152
     • 2.2333.5 % of seats · 2026 · CzechiaSG_GEN_PARL.203
     • 2.2432.75 % of seats · 2026 · ItalySG_GEN_PARL.380
     • 2.2532.54 % of seats · 2026 · GermanySG_GEN_PARL.276
     • 2.2631.52 % of seats · 2026 · PolandSG_GEN_PARL.616
     • 2.2730.32 % of seats · 2026 · CanadaSG_GEN_PARL.124
     • 2.2829.7 % of seats · 2026 · EstoniaSG_GEN_PARL.233
     • 2.2929.41 % of seats · 2026 · ColombiaSG_GEN_PARL.170
     • 2.3028.87 % of seats · 2026 · United States of AmericaSG_GEN_PARL.840
     • 2.3128.37 % of seats · 2026 · LithuaniaSG_GEN_PARL.440
     • 2.3225.83 % of seats · 2026 · IsraelSG_GEN_PARL.376
     • 2.3325 % of seats · 2026 · IrelandSG_GEN_PARL.372
     • 2.3423.91 % of seats · 2026 · GreeceSG_GEN_PARL.300
     • 2.3522 % of seats · 2026 · SlovakiaSG_GEN_PARL.703
     • 2.3620.81 % of seats · 2026 · Republic of KoreaSG_GEN_PARL.410
     • 2.3719.93 % of seats · 2026 · TürkiyeSG_GEN_PARL.792
     • 2.3815.58 % of seats · 2026 · HungarySG_GEN_PARL.348
     • 2.3915.48 % of seats · 2026 · JapanSG_GEN_PARL.392

     ALL 38 OECD MEMBERS IN THIS RESPONSE, so the rank and the median reproduce from this record alone rather than from a handful of named countries. Seats in the single or lower chamber at 1 January. Nature=C throughout. Iceland is 46.03 and Australia 46.00, so third and fourth place are separated by three hundredths of a point. The cross-country counterpart of the Australian series: the same indicator, one year, every reporting country, with the 38 OECD members kept. Australia's own history — below the median as recently as 2016 — comes from this same call's earlier years being visible in the Australia-only series, and the rank here is read off the 2026 response.

   • API Calls: · extracted 16 September 2026
     UNSD-SDG:SG_GEN_PARLhttps://unstats.un.org/SDGAPI/v1/sdg/Series/Data?seriesCode=SG_GEN_PARL&pageSize=20000&timePeriodStart=2016&timePeriodEnd=2016

     • 2.4027.86 % of seatsderived here · 2016 · Median of the 38 OECD members, 2026· The median of the 38 OECD members returned by this call. A median is computed across the response, not published in it.
     • 2.4126.67 % of seats · 2016 · AustraliaSG_GEN_PARL.36

     The 2016 counterpart of the 2026 comparison record, added because the page asserts that Australia was below the OECD median "as recently as 2016" and nothing retrieved supported it: the Australia-only series gives Australia's 26.67 and says nothing about where the other members sat. Now retrieved: the median of the 38 members at 1 January 2016 was 27.86 and Australia was 21th. The claim is true; it simply had no call behind it.

   Source: United Nations Statistics Division, SDG Indicators Global Database, indicator 5.5.1 (custodian agency: Inter-Parliamentary Union), extracted 16 September 2026. Licensed under CC BY 3.0 IGO. CC BY 3.0 IGO
3. [3]United Nations Statistics Division, SDG Indicators Global Database — indicator 8.4.2, domestic material consumption, Extracted September 2026
   Vintage: Series EN_MAT_DOMCMPC, domestic material consumption per capita, all products (product code ALP), 2022. Compiled by the UN Environment Programme from the Global Material Flows Database. Australia's total reconciles with the sum of its published product components. Twelve reporting areas, including Japan and New Zealand, carry values at or below zero for every year from 2019 to 2022 and are not usable.
   • API Calls: · extracted 16 September 2026
     UNSD-SDG:EN_MAT_DOMCMPChttps://unstats.un.org/SDGAPI/v1/sdg/Series/Data?seriesCode=EN_MAT_DOMCMPC&pageSize=20000&timePeriodStart=2022&timePeriodEnd=2022

     • 3.117.142 tonnes per personderived here · 2022 · Median of the 36 OECD members in this response· The median of the 36 OECD members returned by this call. A median is computed across the response, not published in it.
     • 3.2128.226 tonnes per personwhole response · 2022 · Mexico· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Type of product dimension: both `Type of product=<code>` and `dimensions[Type of product]=<code>` are accepted and ignored. The narrowest call it honours still returns fourteen rows covering seven product types, each appearing twice for the country-year, so no URL returns this figure alone. This value is the ALP (all products) row.
     • 3.353.819 tonnes per personwhole response · 2022 · Canada· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Type of product dimension: both `Type of product=<code>` and `dimensions[Type of product]=<code>` are accepted and ignored. The narrowest call it honours still returns fourteen rows covering seven product types, each appearing twice for the country-year, so no URL returns this figure alone. This value is the ALP (all products) row.
     • 3.452.27 tonnes per personwhole response · 2022 · Chile· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Type of product dimension: both `Type of product=<code>` and `dimensions[Type of product]=<code>` are accepted and ignored. The narrowest call it honours still returns fourteen rows covering seven product types, each appearing twice for the country-year, so no URL returns this figure alone. This value is the ALP (all products) row.
     • 3.547.657 tonnes per personwhole response · 2022 · Australia· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Type of product dimension: both `Type of product=<code>` and `dimensions[Type of product]=<code>` are accepted and ignored. The narrowest call it honours still returns fourteen rows covering seven product types, each appearing twice for the country-year, so no URL returns this figure alone. This value is the ALP (all products) row.
     • 3.644.243 tonnes per personwhole response · 2022 · Finland· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Type of product dimension: both `Type of product=<code>` and `dimensions[Type of product]=<code>` are accepted and ignored. The narrowest call it honours still returns fourteen rows covering seven product types, each appearing twice for the country-year, so no URL returns this figure alone. This value is the ALP (all products) row.
     • 3.726.741 tonnes per personwhole response · 2022 · Estonia· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Type of product dimension: both `Type of product=<code>` and `dimensions[Type of product]=<code>` are accepted and ignored. The narrowest call it honours still returns fourteen rows covering seven product types, each appearing twice for the country-year, so no URL returns this figure alone. This value is the ALP (all products) row.
     • 3.825.7 tonnes per personwhole response · 2022 · Denmark· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Type of product dimension: both `Type of product=<code>` and `dimensions[Type of product]=<code>` are accepted and ignored. The narrowest call it honours still returns fourteen rows covering seven product types, each appearing twice for the country-year, so no URL returns this figure alone. This value is the ALP (all products) row.
     • 3.924.399 tonnes per personwhole response · 2022 · Sweden· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Type of product dimension: both `Type of product=<code>` and `dimensions[Type of product]=<code>` are accepted and ignored. The narrowest call it honours still returns fourteen rows covering seven product types, each appearing twice for the country-year, so no URL returns this figure alone. This value is the ALP (all products) row.
     • 3.1023.977 tonnes per personwhole response · 2022 · Ireland· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Type of product dimension: both `Type of product=<code>` and `dimensions[Type of product]=<code>` are accepted and ignored. The narrowest call it honours still returns fourteen rows covering seven product types, each appearing twice for the country-year, so no URL returns this figure alone. This value is the ALP (all products) row.
     • 3.1123.492 tonnes per personwhole response · 2022 · Luxembourg· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Type of product dimension: both `Type of product=<code>` and `dimensions[Type of product]=<code>` are accepted and ignored. The narrowest call it honours still returns fourteen rows covering seven product types, each appearing twice for the country-year, so no URL returns this figure alone. This value is the ALP (all products) row.
     • 3.1222.539 tonnes per personwhole response · 2022 · United States of America· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Type of product dimension: both `Type of product=<code>` and `dimensions[Type of product]=<code>` are accepted and ignored. The narrowest call it honours still returns fourteen rows covering seven product types, each appearing twice for the country-year, so no URL returns this figure alone. This value is the ALP (all products) row.
     • 3.1322.511 tonnes per personwhole response · 2022 · Israel· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Type of product dimension: both `Type of product=<code>` and `dimensions[Type of product]=<code>` are accepted and ignored. The narrowest call it honours still returns fourteen rows covering seven product types, each appearing twice for the country-year, so no URL returns this figure alone. This value is the ALP (all products) row.
     • 3.1422.467 tonnes per personwhole response · 2022 · Norway· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Type of product dimension: both `Type of product=<code>` and `dimensions[Type of product]=<code>` are accepted and ignored. The narrowest call it honours still returns fourteen rows covering seven product types, each appearing twice for the country-year, so no URL returns this figure alone. This value is the ALP (all products) row.
     • 3.1520.105 tonnes per personwhole response · 2022 · Lithuania· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Type of product dimension: both `Type of product=<code>` and `dimensions[Type of product]=<code>` are accepted and ignored. The narrowest call it honours still returns fourteen rows covering seven product types, each appearing twice for the country-year, so no URL returns this figure alone. This value is the ALP (all products) row.
     • 3.1618.956 tonnes per personwhole response · 2022 · Iceland· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Type of product dimension: both `Type of product=<code>` and `dimensions[Type of product]=<code>` are accepted and ignored. The narrowest call it honours still returns fourteen rows covering seven product types, each appearing twice for the country-year, so no URL returns this figure alone. This value is the ALP (all products) row.
     • 3.1718.308 tonnes per personwhole response · 2022 · Poland· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Type of product dimension: both `Type of product=<code>` and `dimensions[Type of product]=<code>` are accepted and ignored. The narrowest call it honours still returns fourteen rows covering seven product types, each appearing twice for the country-year, so no URL returns this figure alone. This value is the ALP (all products) row.
     • 3.1817.52 tonnes per personwhole response · 2022 · Austria· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Type of product dimension: both `Type of product=<code>` and `dimensions[Type of product]=<code>` are accepted and ignored. The narrowest call it honours still returns fourteen rows covering seven product types, each appearing twice for the country-year, so no URL returns this figure alone. This value is the ALP (all products) row.
     • 3.1917.379 tonnes per personwhole response · 2022 · Republic of Korea· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Type of product dimension: both `Type of product=<code>` and `dimensions[Type of product]=<code>` are accepted and ignored. The narrowest call it honours still returns fourteen rows covering seven product types, each appearing twice for the country-year, so no URL returns this figure alone. This value is the ALP (all products) row.
     • 3.2016.905 tonnes per personwhole response · 2022 · Latvia· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Type of product dimension: both `Type of product=<code>` and `dimensions[Type of product]=<code>` are accepted and ignored. The narrowest call it honours still returns fourteen rows covering seven product types, each appearing twice for the country-year, so no URL returns this figure alone. This value is the ALP (all products) row.
     • 3.2115.752 tonnes per personwhole response · 2022 · Czechia· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Type of product dimension: both `Type of product=<code>` and `dimensions[Type of product]=<code>` are accepted and ignored. The narrowest call it honours still returns fourteen rows covering seven product types, each appearing twice for the country-year, so no URL returns this figure alone. This value is the ALP (all products) row.
     • 3.2215.037 tonnes per personwhole response · 2022 · Portugal· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Type of product dimension: both `Type of product=<code>` and `dimensions[Type of product]=<code>` are accepted and ignored. The narrowest call it honours still returns fourteen rows covering seven product types, each appearing twice for the country-year, so no URL returns this figure alone. This value is the ALP (all products) row.
     • 3.2314.738 tonnes per personwhole response · 2022 · Slovenia· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Type of product dimension: both `Type of product=<code>` and `dimensions[Type of product]=<code>` are accepted and ignored. The narrowest call it honours still returns fourteen rows covering seven product types, each appearing twice for the country-year, so no URL returns this figure alone. This value is the ALP (all products) row.
     • 3.2413.7 tonnes per personwhole response · 2022 · Germany· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Type of product dimension: both `Type of product=<code>` and `dimensions[Type of product]=<code>` are accepted and ignored. The narrowest call it honours still returns fourteen rows covering seven product types, each appearing twice for the country-year, so no URL returns this figure alone. This value is the ALP (all products) row.
     • 3.2513.544 tonnes per personwhole response · 2022 · Hungary· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Type of product dimension: both `Type of product=<code>` and `dimensions[Type of product]=<code>` are accepted and ignored. The narrowest call it honours still returns fourteen rows covering seven product types, each appearing twice for the country-year, so no URL returns this figure alone. This value is the ALP (all products) row.
     • 3.2612.909 tonnes per personwhole response · 2022 · Belgium· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Type of product dimension: both `Type of product=<code>` and `dimensions[Type of product]=<code>` are accepted and ignored. The narrowest call it honours still returns fourteen rows covering seven product types, each appearing twice for the country-year, so no URL returns this figure alone. This value is the ALP (all products) row.
     • 3.2711.791 tonnes per personwhole response · 2022 · France· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Type of product dimension: both `Type of product=<code>` and `dimensions[Type of product]=<code>` are accepted and ignored. The narrowest call it honours still returns fourteen rows covering seven product types, each appearing twice for the country-year, so no URL returns this figure alone. This value is the ALP (all products) row.
     • 3.2811.608 tonnes per personwhole response · 2022 · Türkiye· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Type of product dimension: both `Type of product=<code>` and `dimensions[Type of product]=<code>` are accepted and ignored. The narrowest call it honours still returns fourteen rows covering seven product types, each appearing twice for the country-year, so no URL returns this figure alone. This value is the ALP (all products) row.
     • 3.2911.31 tonnes per personwhole response · 2022 · Slovakia· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Type of product dimension: both `Type of product=<code>` and `dimensions[Type of product]=<code>` are accepted and ignored. The narrowest call it honours still returns fourteen rows covering seven product types, each appearing twice for the country-year, so no URL returns this figure alone. This value is the ALP (all products) row.
     • 3.3010.885 tonnes per personwhole response · 2022 · Greece· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Type of product dimension: both `Type of product=<code>` and `dimensions[Type of product]=<code>` are accepted and ignored. The narrowest call it honours still returns fourteen rows covering seven product types, each appearing twice for the country-year, so no URL returns this figure alone. This value is the ALP (all products) row.
     • 3.3110.346 tonnes per personwhole response · 2022 · Switzerland· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Type of product dimension: both `Type of product=<code>` and `dimensions[Type of product]=<code>` are accepted and ignored. The narrowest call it honours still returns fourteen rows covering seven product types, each appearing twice for the country-year, so no URL returns this figure alone. This value is the ALP (all products) row.
     • 3.329.91 tonnes per personwhole response · 2022 · Costa Rica· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Type of product dimension: both `Type of product=<code>` and `dimensions[Type of product]=<code>` are accepted and ignored. The narrowest call it honours still returns fourteen rows covering seven product types, each appearing twice for the country-year, so no URL returns this figure alone. This value is the ALP (all products) row.
     • 3.339.396 tonnes per personwhole response · 2022 · Netherlands (Kingdom of the)· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Type of product dimension: both `Type of product=<code>` and `dimensions[Type of product]=<code>` are accepted and ignored. The narrowest call it honours still returns fourteen rows covering seven product types, each appearing twice for the country-year, so no URL returns this figure alone. This value is the ALP (all products) row.
     • 3.349.043 tonnes per personwhole response · 2022 · Spain· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Type of product dimension: both `Type of product=<code>` and `dimensions[Type of product]=<code>` are accepted and ignored. The narrowest call it honours still returns fourteen rows covering seven product types, each appearing twice for the country-year, so no URL returns this figure alone. This value is the ALP (all products) row.
     • 3.358.884 tonnes per personwhole response · 2022 · Italy· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Type of product dimension: both `Type of product=<code>` and `dimensions[Type of product]=<code>` are accepted and ignored. The narrowest call it honours still returns fourteen rows covering seven product types, each appearing twice for the country-year, so no URL returns this figure alone. This value is the ALP (all products) row.
     • 3.368.77 tonnes per personwhole response · 2022 · United Kingdom of Great Britain and Northern Ireland· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Type of product dimension: both `Type of product=<code>` and `dimensions[Type of product]=<code>` are accepted and ignored. The narrowest call it honours still returns fourteen rows covering seven product types, each appearing twice for the country-year, so no URL returns this figure alone. This value is the ALP (all products) row.
     • 3.377.78 tonnes per personwhole response · 2022 · Colombia· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Type of product dimension: both `Type of product=<code>` and `dimensions[Type of product]=<code>` are accepted and ignored. The narrowest call it honours still returns fourteen rows covering seven product types, each appearing twice for the country-year, so no URL returns this figure alone. This value is the ALP (all products) row.

     ALL 36 OECD MEMBERS IN THIS RESPONSE, so the rank and the median reproduce from this record alone rather than from a handful of named countries. THE SELECTION NEEDS Type of product=ALP, all products: the call returns seven product types per country and Australia's metal-ores figure alone is 16.328, which would rank it quite differently. Japan (-0.025) and New Zealand (-0.348) are dropped because the response reports them below zero tonnes per person, which cannot be a quantity of material consumed. THE RANKING MIXES TWO PROVENANCES: 26 of the 36 charted countries are Nature=C, country-reported, and 10 are Nature=E, estimated — Australia, Canada, Chile and Mexico among the estimated, Finland, Germany, France, Italy, Spain and the Netherlands among the reported. An earlier version of this note said every observation was estimated, which hid that. Mexico's 128.226 also sits on a series that runs 12.27 in 2010, 40.42 in 2019 and 101.15 in 2020, a two-and-a-half-fold rise in the pandemic year; Australia's rank and the median do not depend on it, but it sets the top of the chart's scale. 36 of the 38 OECD members. Japan and New Zealand are dropped because this response reports them at or just below zero tonnes per person for every year from 2019 to 2022, which cannot be a quantity of material consumed — the omission and its reason are read straight off the call, which is what the third caveat states.

   Source: United Nations Statistics Division, SDG Indicators Global Database, indicator 8.4.2 (custodian agency: UN Environment Programme), extracted 16 September 2026. Licensed under CC BY 3.0 IGO. CC BY 3.0 IGO
4. [4]United Nations Statistics Division, SDG Indicators Global Database — indicator 8.6.1, young people not in employment, education or training, Extracted September 2026
   Vintage: Series SL_TLF_NEET_19ICLS, aged 15–24, compiled by the ILO from ABS Labour Force Survey microdata on the 19th ICLS standard. The 13th ICLS series SL_TLF_NEET is a separate series and is not spliced to it.
   • API Calls: · extracted 16 September 2026
     UNSD-SDG:SL_TLF_NEET_19ICLShttps://unstats.un.org/SDGAPI/v1/sdg/Series/Data?seriesCode=SL_TLF_NEET_19ICLS&pageSize=20000&timePeriodStart=2024&timePeriodEnd=2024

     • 4.19.89 % of 15-24 year oldsderived here · 2024 · Median of the 33 OECD members in this response· The median of the 33 OECD members returned by this call. A median is computed across the response, not published in it.
     • 4.23.97 % of 15-24 year oldswhole response · 2024 · Iceland· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Sex dimension: both `Sex=<code>` and `dimensions[Sex]=<code>` are accepted and ignored. The narrowest call it honours still returns three rows — FEMALE, MALE and BOTHSEX for the country-year, so no URL returns this figure alone. This value is the BOTHSEX, ages 15-24 row.
     • 4.34.14 % of 15-24 year oldswhole response · 2024 · Netherlands (Kingdom of the)· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Sex dimension: both `Sex=<code>` and `dimensions[Sex]=<code>` are accepted and ignored. The narrowest call it honours still returns three rows — FEMALE, MALE and BOTHSEX for the country-year, so no URL returns this figure alone. This value is the BOTHSEX, ages 15-24 row.
     • 4.44.62 % of 15-24 year oldswhole response · 2024 · Czechia· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Sex dimension: both `Sex=<code>` and `dimensions[Sex]=<code>` are accepted and ignored. The narrowest call it honours still returns three rows — FEMALE, MALE and BOTHSEX for the country-year, so no URL returns this figure alone. This value is the BOTHSEX, ages 15-24 row.
     • 4.55.58 % of 15-24 year oldswhole response · 2024 · Sweden· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Sex dimension: both `Sex=<code>` and `dimensions[Sex]=<code>` are accepted and ignored. The narrowest call it honours still returns three rows — FEMALE, MALE and BOTHSEX for the country-year, so no URL returns this figure alone. This value is the BOTHSEX, ages 15-24 row.
     • 4.65.67 % of 15-24 year oldswhole response · 2024 · Ireland· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Sex dimension: both `Sex=<code>` and `dimensions[Sex]=<code>` are accepted and ignored. The narrowest call it honours still returns three rows — FEMALE, MALE and BOTHSEX for the country-year, so no URL returns this figure alone. This value is the BOTHSEX, ages 15-24 row.
     • 4.75.82 % of 15-24 year oldswhole response · 2024 · Norway· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Sex dimension: both `Sex=<code>` and `dimensions[Sex]=<code>` are accepted and ignored. The narrowest call it honours still returns three rows — FEMALE, MALE and BOTHSEX for the country-year, so no URL returns this figure alone. This value is the BOTHSEX, ages 15-24 row.
     • 4.86.9 % of 15-24 year oldswhole response · 2024 · Denmark· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Sex dimension: both `Sex=<code>` and `dimensions[Sex]=<code>` are accepted and ignored. The narrowest call it honours still returns three rows — FEMALE, MALE and BOTHSEX for the country-year, so no URL returns this figure alone. This value is the BOTHSEX, ages 15-24 row.
     • 4.96.91 % of 15-24 year oldswhole response · 2024 · Switzerland· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Sex dimension: both `Sex=<code>` and `dimensions[Sex]=<code>` are accepted and ignored. The narrowest call it honours still returns three rows — FEMALE, MALE and BOTHSEX for the country-year, so no URL returns this figure alone. This value is the BOTHSEX, ages 15-24 row.
     • 4.107.13 % of 15-24 year oldswhole response · 2024 · Slovenia· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Sex dimension: both `Sex=<code>` and `dimensions[Sex]=<code>` are accepted and ignored. The narrowest call it honours still returns three rows — FEMALE, MALE and BOTHSEX for the country-year, so no URL returns this figure alone. This value is the BOTHSEX, ages 15-24 row.
     • 4.117.58 % of 15-24 year oldswhole response · 2024 · Germany· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Sex dimension: both `Sex=<code>` and `dimensions[Sex]=<code>` are accepted and ignored. The narrowest call it honours still returns three rows — FEMALE, MALE and BOTHSEX for the country-year, so no URL returns this figure alone. This value is the BOTHSEX, ages 15-24 row.
     • 4.127.76 % of 15-24 year oldswhole response · 2024 · Portugal· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Sex dimension: both `Sex=<code>` and `dimensions[Sex]=<code>` are accepted and ignored. The narrowest call it honours still returns three rows — FEMALE, MALE and BOTHSEX for the country-year, so no URL returns this figure alone. This value is the BOTHSEX, ages 15-24 row.
     • 4.138.15 % of 15-24 year oldswhole response · 2024 · Belgium· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Sex dimension: both `Sex=<code>` and `dimensions[Sex]=<code>` are accepted and ignored. The narrowest call it honours still returns three rows — FEMALE, MALE and BOTHSEX for the country-year, so no URL returns this figure alone. This value is the BOTHSEX, ages 15-24 row.
     • 4.148.28 % of 15-24 year oldswhole response · 2024 · Finland· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Sex dimension: both `Sex=<code>` and `dimensions[Sex]=<code>` are accepted and ignored. The narrowest call it honours still returns three rows — FEMALE, MALE and BOTHSEX for the country-year, so no URL returns this figure alone. This value is the BOTHSEX, ages 15-24 row.
     • 4.158.53 % of 15-24 year oldswhole response · 2024 · Australia· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Sex dimension: both `Sex=<code>` and `dimensions[Sex]=<code>` are accepted and ignored. The narrowest call it honours still returns three rows — FEMALE, MALE and BOTHSEX for the country-year, so no URL returns this figure alone. This value is the BOTHSEX, ages 15-24 row.
     • 4.168.75 % of 15-24 year oldswhole response · 2024 · Slovakia· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Sex dimension: both `Sex=<code>` and `dimensions[Sex]=<code>` are accepted and ignored. The narrowest call it honours still returns three rows — FEMALE, MALE and BOTHSEX for the country-year, so no URL returns this figure alone. This value is the BOTHSEX, ages 15-24 row.
     • 4.179.39 % of 15-24 year oldswhole response · 2024 · Spain· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Sex dimension: both `Sex=<code>` and `dimensions[Sex]=<code>` are accepted and ignored. The narrowest call it honours still returns three rows — FEMALE, MALE and BOTHSEX for the country-year, so no URL returns this figure alone. This value is the BOTHSEX, ages 15-24 row.
     • 4.189.89 % of 15-24 year oldswhole response · 2024 · Latvia· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Sex dimension: both `Sex=<code>` and `dimensions[Sex]=<code>` are accepted and ignored. The narrowest call it honours still returns three rows — FEMALE, MALE and BOTHSEX for the country-year, so no URL returns this figure alone. This value is the BOTHSEX, ages 15-24 row.
     • 4.199.98 % of 15-24 year oldswhole response · 2024 · Hungary· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Sex dimension: both `Sex=<code>` and `dimensions[Sex]=<code>` are accepted and ignored. The narrowest call it honours still returns three rows — FEMALE, MALE and BOTHSEX for the country-year, so no URL returns this figure alone. This value is the BOTHSEX, ages 15-24 row.
     • 4.2010.23 % of 15-24 year oldswhole response · 2024 · Estonia· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Sex dimension: both `Sex=<code>` and `dimensions[Sex]=<code>` are accepted and ignored. The narrowest call it honours still returns three rows — FEMALE, MALE and BOTHSEX for the country-year, so no URL returns this figure alone. This value is the BOTHSEX, ages 15-24 row.
     • 4.2110.23 % of 15-24 year oldswhole response · 2024 · Luxembourg· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Sex dimension: both `Sex=<code>` and `dimensions[Sex]=<code>` are accepted and ignored. The narrowest call it honours still returns three rows — FEMALE, MALE and BOTHSEX for the country-year, so no URL returns this figure alone. This value is the BOTHSEX, ages 15-24 row.
     • 4.2210.43 % of 15-24 year oldswhole response · 2024 · Greece· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Sex dimension: both `Sex=<code>` and `dimensions[Sex]=<code>` are accepted and ignored. The narrowest call it honours still returns three rows — FEMALE, MALE and BOTHSEX for the country-year, so no URL returns this figure alone. This value is the BOTHSEX, ages 15-24 row.
     • 4.2310.65 % of 15-24 year oldswhole response · 2024 · Poland· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Sex dimension: both `Sex=<code>` and `dimensions[Sex]=<code>` are accepted and ignored. The narrowest call it honours still returns three rows — FEMALE, MALE and BOTHSEX for the country-year, so no URL returns this figure alone. This value is the BOTHSEX, ages 15-24 row.
     • 4.2411.6 % of 15-24 year oldswhole response · 2024 · United States of America· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Sex dimension: both `Sex=<code>` and `dimensions[Sex]=<code>` are accepted and ignored. The narrowest call it honours still returns three rows — FEMALE, MALE and BOTHSEX for the country-year, so no URL returns this figure alone. This value is the BOTHSEX, ages 15-24 row.
     • 4.2511.96 % of 15-24 year oldswhole response · 2024 · Italy· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Sex dimension: both `Sex=<code>` and `dimensions[Sex]=<code>` are accepted and ignored. The narrowest call it honours still returns three rows — FEMALE, MALE and BOTHSEX for the country-year, so no URL returns this figure alone. This value is the BOTHSEX, ages 15-24 row.
     • 4.2612.57 % of 15-24 year oldswhole response · 2024 · France· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Sex dimension: both `Sex=<code>` and `dimensions[Sex]=<code>` are accepted and ignored. The narrowest call it honours still returns three rows — FEMALE, MALE and BOTHSEX for the country-year, so no URL returns this figure alone. This value is the BOTHSEX, ages 15-24 row.
     • 4.2712.78 % of 15-24 year oldswhole response · 2024 · New Zealand· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Sex dimension: both `Sex=<code>` and `dimensions[Sex]=<code>` are accepted and ignored. The narrowest call it honours still returns three rows — FEMALE, MALE and BOTHSEX for the country-year, so no URL returns this figure alone. This value is the BOTHSEX, ages 15-24 row.
     • 4.2812.99 % of 15-24 year oldswhole response · 2024 · Canada· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Sex dimension: both `Sex=<code>` and `dimensions[Sex]=<code>` are accepted and ignored. The narrowest call it honours still returns three rows — FEMALE, MALE and BOTHSEX for the country-year, so no URL returns this figure alone. This value is the BOTHSEX, ages 15-24 row.
     • 4.2913.26 % of 15-24 year oldswhole response · 2024 · Austria· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Sex dimension: both `Sex=<code>` and `dimensions[Sex]=<code>` are accepted and ignored. The narrowest call it honours still returns three rows — FEMALE, MALE and BOTHSEX for the country-year, so no URL returns this figure alone. This value is the BOTHSEX, ages 15-24 row.
     • 4.3013.8 % of 15-24 year oldswhole response · 2024 · Chile· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Sex dimension: both `Sex=<code>` and `dimensions[Sex]=<code>` are accepted and ignored. The narrowest call it honours still returns three rows — FEMALE, MALE and BOTHSEX for the country-year, so no URL returns this figure alone. This value is the BOTHSEX, ages 15-24 row.
     • 4.3114.3 % of 15-24 year oldswhole response · 2024 · United Kingdom of Great Britain and Northern Ireland· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Sex dimension: both `Sex=<code>` and `dimensions[Sex]=<code>` are accepted and ignored. The narrowest call it honours still returns three rows — FEMALE, MALE and BOTHSEX for the country-year, so no URL returns this figure alone. This value is the BOTHSEX, ages 15-24 row.
     • 4.3214.91 % of 15-24 year oldswhole response · 2024 · Lithuania· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Sex dimension: both `Sex=<code>` and `dimensions[Sex]=<code>` are accepted and ignored. The narrowest call it honours still returns three rows — FEMALE, MALE and BOTHSEX for the country-year, so no URL returns this figure alone. This value is the BOTHSEX, ages 15-24 row.
     • 4.3315.27 % of 15-24 year oldswhole response · 2024 · Israel· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Sex dimension: both `Sex=<code>` and `dimensions[Sex]=<code>` are accepted and ignored. The narrowest call it honours still returns three rows — FEMALE, MALE and BOTHSEX for the country-year, so no URL returns this figure alone. This value is the BOTHSEX, ages 15-24 row.
     • 4.3418.28 % of 15-24 year oldswhole response · 2024 · Costa Rica· The UN SDG v1 API narrows to a series, an area and a year, but it cannot filter this series' Sex dimension: both `Sex=<code>` and `dimensions[Sex]=<code>` are accepted and ignored. The narrowest call it honours still returns three rows — FEMALE, MALE and BOTHSEX for the country-year, so no URL returns this figure alone. This value is the BOTHSEX, ages 15-24 row.

     ALL 33 OECD MEMBERS IN THIS RESPONSE, so the rank and the median reproduce from this record alone rather than from a handful of named countries. THE SELECTION NEEDS Sex=BOTHSEX and Age=15-24: the call returns three sexes per country. Only 33 of the 38 members report this series on the 19th ICLS standard for 2024. Nature=C throughout. Only 33 of the 38 OECD members report this series on the 19th ICLS standard for 2024, which is the coverage the second caveat states and is a property of this response.

   Source: United Nations Statistics Division, SDG Indicators Global Database, indicator 8.6.1 (custodian agency: International Labour Organization), extracted 16 September 2026. Licensed under CC BY 3.0 IGO. CC BY 3.0 IGO
5. [5]United Nations Statistics Division, SDG Indicators Global Database — indicator 17.2.1, official development assistance, 2000–2025
   Vintage: Custodian data supplied by the OECD Development Assistance Committee, DAC database 2026 release. Grant-equivalent series (DC_ODA_TOTGGE, DC_ODA_TOTLGE) begin with 2018 data; earlier years are on the net-disbursement basis (DC_ODA_TOTG) and the two are not a single series. The 2025 observations are OECD early estimates and are revised when detailed data is published. Values in constant 2024 United States dollars. The least-developed-countries series (DC_ODA_LDCG) is net disbursements including imputed multilateral flows.
   • API Calls: · extracted 16 September 2026
     UNSD-SDG:DC_ODA_TOTGGEhttps://unstats.un.org/SDGAPI/v1/sdg/Series/Data?seriesCode=DC_ODA_TOTGGE&pageSize=4000&timePeriodStart=2025

     • 5.142 reporting countrieswhole response · 2025 · totalElements returned by the call, every country reporting DC_ODA_TOTGGE for 2025· This is the call's own totalElements — the count of rows the response carries, which the API returns in its metadata rather than as an observation row. There is no series key for a row that is not one.
     • 5.21.030721 % · 2025 · NorwayDC_ODA_TOTGGE.578
     • 5.30.992544 % · 2025 · LuxembourgDC_ODA_TOTGGE.442
     • 5.40.849012 % · 2025 · SwedenDC_ODA_TOTGGE.752
     • 5.50.723359 % · 2025 · DenmarkDC_ODA_TOTGGE.208
     • 5.60.612539 % · 2025 · United Arab EmiratesDC_ODA_TOTGGE.784
     • 5.70.579761 % · 2025 · Netherlands (Kingdom of the)DC_ODA_TOTGGE.528
     • 5.80.558135 % · 2025 · GermanyDC_ODA_TOTGGE.276
     • 5.90.501037 % · 2025 · TürkiyeDC_ODA_TOTGGE.792
     • 5.100.459857 % · 2025 · SwitzerlandDC_ODA_TOTGGE.756
     • 5.110.443185 % · 2025 · FinlandDC_ODA_TOTGGE.246
     • 5.120.432325 % · 2025 · QatarDC_ODA_TOTGGE.634
     • 5.130.43152 % · 2025 · United Kingdom of Great Britain and Northern IrelandDC_ODA_TOTGGE.826
     • 5.140.42469 % · 2025 · IrelandDC_ODA_TOTGGE.372
     • 5.150.423334 % · 2025 · FranceDC_ODA_TOTGGE.250
     • 5.160.369947 % · 2025 · BelgiumDC_ODA_TOTGGE.56
     • 5.170.345139 % · 2025 · JapanDC_ODA_TOTGGE.392
     • 5.180.337354 % · 2025 · IcelandDC_ODA_TOTGGE.352
     • 5.190.328961 % · 2025 · AustriaDC_ODA_TOTGGE.40
     • 5.200.316411 % · 2025 · CanadaDC_ODA_TOTGGE.124
     • 5.210.296433 % · 2025 · ItalyDC_ODA_TOTGGE.380
     • 5.220.272838 % · 2025 · New ZealandDC_ODA_TOTGGE.554
     • 5.230.271401 % · 2025 · SpainDC_ODA_TOTGGE.724
     • 5.240.235547 % · 2025 · CroatiaDC_ODA_TOTGGE.191
     • 5.250.21574 % · 2025 · SloveniaDC_ODA_TOTGGE.705
     • 5.260.211562 % · 2025 · LithuaniaDC_ODA_TOTGGE.440
     • 5.270.205112 % · 2025 · MaltaDC_ODA_TOTGGE.470
     • 5.280.203341 % · 2025 · Republic of KoreaDC_ODA_TOTGGE.410
     • 5.290.193484 % · 2025 · EstoniaDC_ODA_TOTGGE.233
     • 5.300.183803 % · 2025 · AustraliaDC_ODA_TOTGGE.36
     • 5.310.179775 % · 2025 · LatviaDC_ODA_TOTGGE.428
     • 5.320.178268 % · 2025 · PortugalDC_ODA_TOTGGE.620
     • 5.330.16214 % · 2025 · PolandDC_ODA_TOTGGE.616
     • 5.340.138966 % · 2025 · HungaryDC_ODA_TOTGGE.348
     • 5.350.135476 % · 2025 · RomaniaDC_ODA_TOTGGE.642
     • 5.360.132868 % · 2025 · SlovakiaDC_ODA_TOTGGE.703
     • 5.370.129766 % · 2025 · GreeceDC_ODA_TOTGGE.300
     • 5.380.11688 % · 2025 · BulgariaDC_ODA_TOTGGE.100
     • 5.390.116012 % · 2025 · CzechiaDC_ODA_TOTGGE.203
     • 5.400.112538 % · 2025 · KuwaitDC_ODA_TOTGGE.414
     • 5.410.094008 % · 2025 · United States of AmericaDC_ODA_TOTGGE.840
     • 5.420.063293 % · 2025 · AzerbaijanDC_ODA_TOTGGE.31
     • 5.430.051239 % · 2025 · IsraelDC_ODA_TOTGGE.376

     Omitting areaCode returns every reporter: all 42 rows for 2025 are recorded here, so the rank, the count above 0.7 per cent and every plotted value reproduce from this record alone. Every row carries Nature=C, country data, and the response's own footnote on every row reads "Grant equivalents, Based on OECD, DAC database, 2026, Provisional" — the 2025 figures are provisional and are revised. Which twenty donors are "largest by volume" was settled from the companion call on the level series, https://unstats.un.org/SDGAPI/v1/sdg/Series/Data?seriesCode=DC_ODA_TOTLGE&pageSize=4000&timePeriodStart=2025, sorted descending with European Union institutions dropped because they report ODA and have no GNI to divide it by. That selection is recorded here as a per-observation note rather than as a figure, because it is a selection rule and not a number the page prints. In order: United States of America, Germany, United Kingdom of Great Britain and Northern Ireland, Japan, France, Canada, Netherlands (Kingdom of the), Italy, Türkiye, Sweden, Norway, Spain, Switzerland, Republic of Korea, Australia, Denmark, United Arab Emirates, Belgium, Ireland, Austria. Luxembourg is second on the ratio and outside the twenty by volume, so the chart shows three of the four reporters at or above 0.7 per cent, not four.

   Source: United Nations Statistics Division, SDG Indicators Global Database, indicator 17.2.1 (custodian agency: OECD Development Assistance Committee), extracted 16 September 2026. Licensed under CC BY 3.0 IGO. CC BY 3.0 IGO

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