From f29755faba0e31b4d65eefae85be68f0e2de776e Mon Sep 17 00:00:00 2001 From: dadams Date: Sat, 13 Jun 2026 17:44:22 -0700 Subject: [PATCH] Update README with corrected numbers from master dataset MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - 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 --- README.md | 19 +++++++++++-------- 1 file changed, 11 insertions(+), 8 deletions(-) diff --git a/README.md b/README.md index 38ac71d..70f7a9b 100644 --- a/README.md +++ b/README.md @@ -28,9 +28,10 @@ This repository implements a PostGIS-based analytical framework that integrates ### Spatial Concentration - **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) -- **Tract level**: Top 1% of data center-hosting census tracts hold 14.6% of all facilities - - Only 0.86% of data center-state residents live in a hosting tract - - Per-capita burden is **115× higher** in host tracts vs. state average +- **Tract level**: Top 1% of data center-hosting census tracts hold 14.5% of all facilities (7 tracts) + - 2.9% of data center-state residents live in a hosting tract + - 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 - 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: - **Wealthier**: Median household income $103,623 (vs. $78,538, +32%) - **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%) +- **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 -- **89% of data centers are in metropolitan tracts** (vs. 80% of all US tracts) - only 1.11× over-index -- **Non-metro data centers (11%)** are dominated by hyperscalers: - - AWS (67), Meta (22), Microsoft (10), Google (4) = 55% of non-metro facilities - - 66% are in Oregon + Washington (Columbia River hydro corridor) +- **~90% of data centers are in metropolitan tracts** (RUCA 2020); ~10% non-metro +- **Non-metro data centers (~10%)** are dominated by hyperscalers: + - AWS, Meta, Microsoft, Google = 55.8% of non-metro facilities + - 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: - New Jersey: 83%, Nevada: 75%, Tennessee: 70%, Oregon: 68% - **Hyperscaler energy strategies** (non-metro sites):