Our read, transparent method

Data Centre Suitability Ranking

How suitable is each place for building AI data centres? We score localities on the factors that actually decide it , power, water, climate, cost, policy , from cited sources. It's a judgment, so we show every number and let you re-weight it yourself.

This is our read, not an oracle. We weight power headroom and time-to-power heavily because they are the binding constraint for AI build-out , a market-maturity index would weight differently, and that’s fine. Drag the sliders to weight it your way and watch the grades move.

#LocalityScoreDataCompare
1🇨🇦 Manitoba province80
2🇨🇦 Newfoundland and Labrador province73
3🇨🇦 Quebec province73
4🇺🇸 Tennessee state72
5🇺🇸 Washington state71
6🇺🇸 North Carolina state70
7🇺🇸 Georgia state69
8🇺🇸 Alabama state68
9🇨🇦 British Columbia province68
10🇺🇸 Iowa state67
11🇺🇸 South Carolina state66
12🇨🇦 Ontario province66
13🇺🇸 Minnesota state65
14🇨🇦 New Brunswick province64
15🇺🇸 Wisconsin state63
16🇺🇸 Kentucky state63
17🇺🇸 Idaho state63
18🇺🇸 Missouri state62
19🇺🇸 Oregon state62
20🇨🇦 Saskatchewan province62
21🇨🇦 Alberta province61
22🇺🇸 Michigan state61
23🇺🇸 Florida state61
24🇺🇸 Montana state61
25🇺🇸 Wyoming state61
26🇺🇸 Pennsylvania state59
27🇺🇸 Indiana state59
28🇺🇸 Ohio state59
29🇺🇸 South Dakota state59
30🇺🇸 Mississippi state59
31🇺🇸 Arkansas state59
32🇺🇸 New Mexico state59
33🇺🇸 Illinois state58
34🇺🇸 North Dakota state58
35🇺🇸 Louisiana state58
36🇺🇸 Nebraska state57
37🇺🇸 Vermont state56
38🇺🇸 Kansas state56
39🇺🇸 Oklahoma state56
40🇺🇸 Arizona state56
41🇨🇦 Nova Scotia province56
42🇺🇸 Virginia state55
43🇺🇸 Maine state55
44🇺🇸 New York state54
45🇺🇸 West Virginia state54
46🇨🇦 Prince Edward Island province54
47🇺🇸 Texas state53
48🇺🇸 New Hampshire state53
49🇺🇸 Utah state53
50🇺🇸 Colorado state52
51🇺🇸 Nevada state52
52🇺🇸 Connecticut state51
53🇺🇸 Maryland state51
54🇨🇦 Yukon territory49
55🇺🇸 Massachusetts state47
56🇨🇦 Northwest Territories territory47
57🇮🇪 Ireland country43
58🇺🇸 New Jersey state43
59🇺🇸 Rhode Island state42
60🇺🇸 Delaware state42
61🇺🇸 District of Columbia district39
62🇺🇸 Alaska state38
63🇺🇸 California state37
64🇨🇦 Nunavut territory32
65🇺🇸 Hawaii state23

Comparing 4 , tick up to 5 above. Open “Adjust weights” to re-weight.

Factor🇨🇦 Alberta🇺🇸 Virginia🇺🇸 Texas🇮🇪 Ireland
Power availability & time-to-power
18% weight
251,200 MW cap, fully allocated; ~19.6 GW queued25PJM queue ~70 GW; NoVA large-AI energization ~4–7 yr; Dominion ~40 GW requested50ERCOT paused Batch Zero large-load interconnection Aug 2026 (audit due Dec 10); ~474 GW requested (~90% DCs)0Dublin moratorium to ~2028; on-site gen required
Power price
14% weight
100~US$0.044/kWh wholesale509.31¢/kWh industrial756.58¢/kWh industrial0~19–25 €¢/kWh (~US$0.21+)
Clean power / carbon intensity
8% weight
50335 gCO₂/kWh50~300–330 gCO₂/kWh (est.)50~335–390 gCO₂/kWh50~280 gCO₂/kWh
Water availability
8% weight
50Med–High in the south75Low–Medium (Potomac)25High–Extremely High (C/W TX)100Low (high rainfall)
Cooling climate (free-cooling)
10% weight
100~40–90 CDD (Calgary)50~900–1,200 CDD0~2,000–2,800 CDD (Dallas)100~0–50 CDD (Dublin)
Natural-disaster risk
6% weight
75Low (hail, wildfire, flood)75Low–moderate (inland)25High (hurricane, tornado, freeze)100Very low
Land availability & cost
7% weight
75Abundant, cheap50Scarce/pricey in NoVA100Abundant, cheap25Scarce/expensive; planning limits
Construction, material & labour cost
7% weight
50Mid-range N. American25High-cost metro75Low-to-moderate25Among priciest in Europe
Skilled-labour availability
6% weight
50Strong trades; thin DC-ops100World's densest DC-ops75Large + growing75Deep DC-ops; tight build labour
Fibre / network connectivity
4% weight
50Regional (YYCIX); not a hub100~70% of global traffic (Ashburn)75Dallas top-5 US market100Major EU hub (INEX), subsea landings
Policy, incentives & political climate
12% weight
50Stable, market-friendly; connection cap75Sales-tax exemption; rising NIMBY50Tax exemption; Aug-2026 audit pause + SB625Stable but restricting DCs
Score (out of 100)61555343

Each locality is scored 0–100 on 11 factors, grouped into power, environment, build & inputs, connectivity and governance. Every factor is scored against fixed, documented thresholds (so scores don’t wobble when we add a new place), then combined by weight into a composite and an A–F grade. Every value shows its source and year , hit “Show every source” above.

Method follows the OECD’s approach to composite indicators; the closest industry comparison is Cushman & Wakefield’s data-centre market index. We differ deliberately: we care about development suitability for new AI campuses, not existing market size, so we up-weight power and climate. Full factor definitions, weights and sources live on the methodology page (coming). Found a better source or a stale number? Tell us.