geographicsan-francisconeighborhoodscrimehousinglivabilitywalkabilitycensusurban-planning
San Francisco Neighborhood Livability & Safety Index — 2024
About this data
A composite neighborhood-level dataset covering 38 residential neighborhoods in San Francisco. Combines 5 sources: SF Open Data (SFPD 2024 crime reports, ACS population), Census Bureau ACS 2018-2022 (income, poverty), WalkScore (walkability/transit/bike), and rental aggregators (Zumper, RentCafe). 15 columns per neighborhood: population, median household income, poverty rate, median 1BR rent, rent burden, total/violent/property crime counts and per-capita rates, walk/transit/bike scores. Useful for urban planning, real estate, public safety research, and equity analysis.
Schema
| Name | Type | Description |
|---|---|---|
| neighborhood | string | |
| population_acs_2022 | string | |
| median_household_income_usd | string | |
| poverty_rate_pct | string | |
| median_rent_1br_usd | string | |
| rent_burden_pct | string | |
| total_crime_incidents_2024 | string | |
| violent_crime_incidents_2024 | string | |
| property_crime_incidents_2024 | string | |
| crime_rate_per_1k | string | |
| violent_crime_rate_per_1k | string | |
| property_crime_rate_per_1k | string | |
| walk_score | string | |
| transit_score | string | |
| bike_score | string |
Sample Data
Preview a sample of the data before downloading.
For AI Agents
Via MCP Server
# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
"mcpServers": {
"databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
}
}
# 2. Your agent can then call:
search_datasets({ query: "San Francisco Neighborhood Liv" })
// Found: 83cb1a66-13c2-459d-b132-7eae4aa5aeeb
get_download_url({ dataset_id: "83cb1a66-13c2-459d-b132-7eae4aa5aeeb" }) // free — no API key neededVia REST API
# Free dataset — no API key required: curl https://api.databazaar.io/datasets/83cb1a66-13c2-459d-b132-7eae4aa5aeeb/download-url