# OECD indicators seem to lack mapping to attributes

**URL:** <https://dbnomics.discourse.group/t/oecd-indicators-seem-to-lack-mapping-to-attributes/823>\
**Category:** Uncategorized\
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**Created:** [October 5, 2024, 12:19pm UTC](https://dbnomics.discourse.group/t/oecd-indicators-seem-to-lack-mapping-to-attributes/823 "2024-10-05T12:19:42Z")\
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<div class="post-metadata">

**Author:** ![Matz](https://avatars.discourse-cdn.com/v4/letter/m/7993a0/32.png) [@Matz](https://dbnomics.discourse.group/u/Matz)\
**Post date:** [October 5, 2024, 12:19pm UTC](https://dbnomics.discourse.group/t/oecd-indicators-seem-to-lack-mapping-to-attributes/823/1 "2024-10-05T12:19:42Z")

</div>

Hello,

For example, this URL: [https://api.db.nomics.world/v22/datasets/OECD/CSPCUBE?limit=50&offset=0](https://api.db.nomics.world/v22/datasets/OECD/CSPCUBE?limit=50&offset=0)

provides the following attributes

“attributes\_labels”: {  
“POWERCODE”: “Unit multiplier”,  
“REFERENCEPERIOD”: “Reference period”,  
“TIME\_FORMAT”: “Time Format”,  
“UNIT”: “Unit”  
},  
“attributes\_values\_labels”: {  
“POWERCODE”: {  
“0”: “Units”,  
“3”: “Thousands”,  
“6”: “Millions”,  
“9”: “Billions”  
},  
“REFERENCEPERIOD”: {  
“2005”: “2005”,  
“2010”: “2010”,  
“2005\_100”: “2005=100”,  
“2010\_100”: “2010=100”  
},  
“TIME\_FORMAT”: {  
“P1Y”: “Annual”  
},  
“UNIT”: {  
“0\_TO\_1”: “0-1 scale”,  
“1000000HAB”: “Per 1 000 000 inhabitants”,  
“100000HAB”: “Per 100 000 inhabitants”,  
“1000HAB”: “Per 1 000 inhabitants”,  
“AVGRW”: “Average growth rate”,  
“AVSCORE”: “Average score”,  
“DEATH\_1000BIRTH”: “Deaths per 1 000 live births”,  
“GRWH”: “Growth rate”,  
“HAB”: “Inhabitants”,  
“HOUR”: “Hours”,  
“IDX”: “Index”,  
“KG”: “Kilograms”,  
“M3”: “Cubic metres”,  
“NATUSD”: “National currency per US dollar”,  
“NBR”: “Number”,  
“OECDIDX”: “OECD=100”,  
“P50P10”: “Interdecile ratio P50/P10”,  
“P90P10”: “Interdecile ratio P90/P10”,  
“P90P50”: “Interdecile ratio P90/P50”,  
“PC”: “Percentage”,  
“PC\_PNT”: “Percentage points”,  
“PER”: “Persons”,  
“PKM”: “Passenger-kilometres”,  
“RATIO”: “Ratio”,  
“S80S20”: “S80/S20 quintile share”,  
“S90S40”: “S90/S40 decile share”,  
“SE”: “Standard-error”,  
“TOE”: “Tonnes of oil equivalent (toe)”,  
“TONNE”: “Tonnes”,  
“TONNEKM”: “Tonnes-kilometres”,  
“TWH”: “Terawatt hours”,  
“USD”: “US Dollar”,  
“YR”: “Years”  
}  
}

with  
“dimensions\_codes\_order”: [  
“SUB”,  
“LOCATION”  
],  
and  
“SUB”: {  
“AGEDPOPGEO\_G1”: “Elderly population”,  
“AGEDPOPGEO\_G2A”: “Regional elderly population: Maximum”,  
“AGEDPOPGEO\_G2B”: “Regional elderly population: Country average”,  
“AGEDPOPGEO\_G2C”: “Regional elderly population: Minimum”,  
“AGEDPOPGEO\_G3A”: “Elderly dependency rate in urban regions”,  
“AGEDPOPGEO\_G3B”: “Elderly dependency rate”,  
“AGEDPOPGEO\_G3C”: “Elderly dependency rate in rural regions”,  
“AIRQTY\_T1”: “CO? emissions from fuel combustion”,  
…

Then a series request like:  
[https://api.db.nomics.world/v22/series/OECD/CSPCUBE/AIRQTY\_T1.FRA?facets=true&observations=true&metadata=true&format=json&align\_periods=false&limit=1000&offset=0](https://api.db.nomics.world/v22/series/OECD/CSPCUBE/AIRQTY_T1.FRA?facets=true&observations=true&metadata=true&format=json&align_periods=false&limit=1000&offset=0)

Meaning - “AIRQTY\_T1”: “CO? emissions from fuel combustion”, in France

You get a nice response with numbers for each year, but what do they signify ? Kilos, Tonnes, Thousands, Millions etc …?

I was looking for some kind of mapping between “AIRQTY\_T1” and the corresponding “POWERCODE”, “UNIT” etc.  
Seems to be missing from both the datasets and the series response.

Many apologies if there is a simple answer I overlooked 🙂

Best regards  
/Matz