Nobody publishes where the wind farms are
The catalogue holds 1,968 wind records across the Gulf, South Asia and South East Asia, 310.4 GW between them. 186 of them carry coordinates. Nine and a half percent.
Coordinate coverage, counted 9 September 2026:
| technology | records | with a position | share |
|---|---|---|---|
| Nuclear | 17 | 17 | 100% |
| Hydrogen | 143 | 143 | 100% |
| Solar | 1,503 | 1,452 | 96.6% |
| Hydro | 1,868 | 1,262 | 67.6% |
| Geothermal | 217 | 47 | 21.7% |
| Bioenergy | 474 | 78 | 16.5% |
| Wind | 1,968 | 186 | 9.5% |
| Storage | 124 | 2 | 1.6% |
| Grid | 46 | 0 | 0% |
Wind is the largest technology in this catalogue by record count and the second largest by capacity. It is also the one you cannot put on a map.
Why this is a sourcing fact, not a data-entry failure
Every position in this catalogue is read from a public dataset. Solar reaches 96.6% because satellite-derived inventories and national registers publish polygons for solar farms; a solar park is large, flat and unambiguous from orbit. A wind farm is a scatter of turbines across tens of kilometres, and the public registers that list it record a province rather than a point.
Storage at 1.6% is the same story earlier in its life. Grid at zero is a category where a point would be meaningless anyway: a transmission line is not a place.
What it changes
Anything that reasons about clean energy geographically in this region is reasoning about solar and hydro, and is quietly leaving out 310 GW of wind. Resource maps, siting studies, curtailment analysis and interconnection queues all inherit that gap. It is not visible unless somebody counts, which is what the table above is.
Where a source does not publish a position, this catalogue leaves the field empty and says so on the record, rather than placing the plant at the centroid of its province and calling it data.
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