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Update README with corrected numbers from master dataset

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- Per-capita burden: 115× → 35× (master dataset adds 104 larger suburban tracts)
- Host pop share: 0.86% → 2.9% of host-state residents
- Non-metro: 11% → ~10% (RUCA 2020)
- Add: 59.3% Biden 2020 in host communities; income gradient by urbanicity
- Add: top host tract (Loudoun CT 6110.20, 69 DCs, MHI $141K)
- Correct hyperscaler shares to exact figures from live DB

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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David Adams
2026-06-13 17:44:22 -07:00
parent 176f3d1eb6
commit f29755faba
1 changed files with 11 additions and 8 deletions
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README.md
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@@ -28,9 +28,10 @@ This repository implements a PostGIS-based analytical framework that integrates
### Spatial Concentration ### Spatial Concentration
- **State level**: Top 5 states (VA, TX, CA, OR, OH) hold 51% of all US data centers - **State level**: Top 5 states (VA, TX, CA, OR, OH) hold 51% of all US data centers
- Virginia alone: 20.6% (378 of 1,833 facilities) - Virginia alone: 20.6% (378 of 1,833 facilities)
- **Tract level**: Top 1% of data center-hosting census tracts hold 14.6% of all facilities - **Tract level**: Top 1% of data center-hosting census tracts hold 14.5% of all facilities (7 tracts)
- Only 0.86% of data center-state residents live in a hosting tract - 2.9% of data center-state residents live in a hosting tract
- Per-capita burden is **115× higher** in host tracts vs. state average - Per-capita burden is **~35× higher** in host tracts vs. state average
- Top host tract: Loudoun County CT 6110.20 — 69 DCs, MHI $141K, 64% BA+
- **Watershed level**: Half of all US data centers sit in just 15 of 2,139 HUC8 watersheds - **Watershed level**: Half of all US data centers sit in just 15 of 2,139 HUC8 watersheds
- Single watershed (Middle Potomac-Catoctin / Loudoun County): 12.8% of US facilities - Single watershed (Middle Potomac-Catoctin / Loudoun County): 12.8% of US facilities
@@ -38,14 +39,16 @@ This repository implements a PostGIS-based analytical framework that integrates
Compared to the US average, data center host communities are: Compared to the US average, data center host communities are:
- **Wealthier**: Median household income $103,623 (vs. $78,538, +32%) - **Wealthier**: Median household income $103,623 (vs. $78,538, +32%)
- **More educated**: 49% bachelor's+ (vs. 35%, +14 pp) - **More educated**: 49% bachelor's+ (vs. 35%, +14 pp)
- **More diverse**: 50% non-Hispanic white (vs. 58%), driven by high Asian share (13% vs. 6%) - **More diverse**: 51% non-Hispanic white (vs. 58%), driven by high Asian share (13% vs. 6%)
- **Better connected**: 94.9% broadband (vs. 89%) - **Better connected**: 94.9% broadband (vs. 89%)
- **Politically blue**: 59.3% Biden 2020 — affluent tech-corridor suburbs, not resentment communities
- **Income gradient by urbanicity**: Metro avg MHI $119K → Rural/Small Town $83K → Micropolitan $67K
### Infrastructure Insights ### Infrastructure Insights
- **89% of data centers are in metropolitan tracts** (vs. 80% of all US tracts) - only 1.11× over-index - **~90% of data centers are in metropolitan tracts** (RUCA 2020); ~10% non-metro
- **Non-metro data centers (11%)** are dominated by hyperscalers: - **Non-metro data centers (~10%)** are dominated by hyperscalers:
- AWS (67), Meta (22), Microsoft (10), Google (4) = 55% of non-metro facilities - AWS, Meta, Microsoft, Google = 55.8% of non-metro facilities
- 66% are in Oregon + Washington (Columbia River hydro corridor) - 66.4% are in Oregon + Washington (45.3% OR + 21.1% WA; Columbia River hydro corridor)
- **Grid saturation**: 4 states have >2/3 of generation within 50 km of a data center: - **Grid saturation**: 4 states have >2/3 of generation within 50 km of a data center:
- New Jersey: 83%, Nevada: 75%, Tennessee: 70%, Oregon: 68% - New Jersey: 83%, Nevada: 75%, Tennessee: 70%, Oregon: 68%
- **Hyperscaler energy strategies** (non-metro sites): - **Hyperscaler energy strategies** (non-metro sites):