WAPR

Google

96 mapped facilities in the WAPR frame

WAPR is a public register of where AI computing physically sits. This page is one company and the mapped buildings that public records attribute to it. Who runs each data centre, according to volunteer mapmakers. Where nobody has recorded an operator, this page says so instead of guessing — that silence is itself one of the findings.

mapped facilities

96

by country

1. United States of America76
2. Finland4
3. Belgium3
4. Netherlands3
5. Singapore3
6. Ireland2
7. Chile1
8. Denmark1
9. Japan1
10. United Kingdom1
11. Uruguay1

Counts of the buildings OpenStreetMap volunteers have mapped and attributed to Google — not of everything Google operates. How thoroughly volunteers map varies enormously from country to country, so these are not shares of the company's real footprint.

Wikidata

Q95

Basin water-stress exposure

17 of 95 assessed sites (18%) sit in High or Extremely High baseline water-stress basins.

Extremely High (>80%)

7

High (40–80%)

10

Medium–High (20–40%)

24

Low–Medium (10–20%)

5

Low (<10%)

49

not assessed / no basin

1

The fill steps from the strongest ink for Extremely High to the faintest for Low; each bar is that class’s share of all this operator’s mapped facilities, with the count beside it. The percentages bound WRI Aqueduct’s baseline water-stress classes: how much of a basin’s available water is already claimed (“Basin water stress” in the terms below).

This counts how many of a company's mapped buildings sit in parts of the world where fresh water is already scarce. It does NOT measure how much water they use — almost no operator publishes that. Each building counts once, big or small, because reliable sizes are not public. Built entirely from public maps and public hydrology; nothing a company says about itself is used.

Count-weighted exposure (per-site capacity is not publishable); OSM attribution covers only attributed sites; exposure is not intake. Chain: OSM mapping x WRI Aqueduct 4.0 basins (CC BY 4.0) — no corporate disclosure enters these figures.

Mapped facilities (96 listed)

namemap extractcoordinatesOSM object

• Google Fiberextract US 33.7716, -84.3669 OSM node/4879481820
• Google Data Center The Dalles Oregonextract US 45.6324, -121.2014 OSM way/231769626
• Google - Thorntonextract CO 39.9225, -104.9835 OSM way/426586135
• Googleextract US 33.0643, -80.0416 OSM way/610827836
• Google Berkeley County Data Centerextract US 33.0640, -80.0433 OSM way/626226408
• Google Arcola Building 1extract VA 38.9433, -77.5243 OSM way/693385812
• Google Taylor Lake Data Centerextract US 45.6385, -121.2022 OSM way/700431553
• Stonewall Creek Business Parkextract VA 39.0509, -77.5396 OSM way/706726088
• Google Montgomery Data Centerextract TN 36.6229, -87.2594 OSM way/708931343
• Google Leesburg Building 1extract VA 39.0524, -77.5396 OSM way/710070925
• Google Data Centerextract US 38.9434, -77.5271 OSM way/714622339
• Google Jackson County Data Centerextract US 34.9144, -85.7483 OSM way/714889192
• Googleextract US 33.7499, -84.5851 OSM way/844352473
• Googleextract US 33.7520, -84.5869 OSM way/844352474
• Googleextract NV 36.0560, -115.0086 OSM way/844359206
• Googleextract NV 36.0590, -115.0089 OSM way/844359207
• Googleextract US 34.9135, -85.7474 OSM way/844371952
• Googleextract US 34.9135, -85.7459 OSM way/844371953
• Googleextract US 32.4419, -97.0623 OSM way/844386860
• Googleextract US 32.4435, -97.0632 OSM way/844386861
• Googleextract US 36.6243, -87.2615 OSM way/844389014
• Google NBY-1extract US 40.0611, -82.7641 OSM way/844391358
• Googleextract US 41.1352, -96.1466 OSM way/844394357
• (unnamed)extract US 33.0620, -80.0384 OSM way/1069388067

View on the Explorer globe

Attribution comes from what OpenStreetMap contributors recorded, resolved through a deterministic alias table. Facilities whose operator no one recorded are absent here — absence of attribution is not absence of facilities. Water figures are basin exposure, never measured intake.