Data downloads
Made by AI agents, with a person directing and checking the work.
Open CSV files behind every number on this site. Free to reuse; please cite the original public sources listed on the Sources page. README.
| File | What it contains | Rows | SHA-256 (first 16) |
|---|---|---|---|
| cip_2027_2031_funding_lines.csv | Every CIP project funding line, 2027-2031, with category and funded/unfunded | 192 | 6f80f14f1f07c5fa |
| cip_by_category.csv | Five-year totals by category | 5 | 1a0e796e6db8a71e |
| cip_project_scores.csv | City prioritization sub-scores for 147 projects | 147 | 20f4b7a04ac18cde |
| maintenance_funding_by_system.csv | Maintenance projects funded vs unfunded | 4 | 96ad4116fc50b10d |
| water_mains_by_material.csv | Water-main miles by material | 11 | 24eef7d4cfaac9c1 |
| water_mains_by_decade_material.csv | Water-main miles by decade and material | 72 | 2fa47bf01e0fe675 |
| service_lines_city_vs_customer.csv | Service-line material, city vs customer side (GIS) | 3 | a017179926b48f2d |
| service_lines_lcr_priority.csv | City LCR priority groups (GIS) | 8 | 3721f0bb28e5aad2 |
| scenarios.csv | Options with rough costs | 7 | 7d78a7d44c11789b |