Updated: Dec 27, 2024

#17US Metro

San Diego

Metropolitan Data APIs

3.3Mpopulation

Access San Diego metro data including biotech and defense industries. Border region coverage.

$82,000

Median Income

$820,000

Median Home

11,000/year

Permits

0.8%

Growth Rate

Access San Diego Data Explore ATLAS

Market Insights

Real-time permit trends, business formation data, and market density metrics

Hottest ZIP Code

92101

Downtown San Diego

+12%

month-over-month

Permit Type

Biotech Lab Build-Out

Total This Month

156

View permit trends

Live Update

6 new biotech lab build-out permits filed in San Diego this hour

Updated:1h ago

Business Formation Density

San Diego

725

new entities
this month

Top Industry

biotechnology

YoY Growth

+4.8%

Density Heatmap

Data updated Dec 27, 12:22 PM

San Diego Demographics

Comprehensive population and economic data via ATLAS API

Metropolitan Population

3.3M

$82,000

Median Income

36.5

Median Age

0.8%

Growth Rate

#17

Largest US Metro

by population

DAEDALUS Building Permits API

San Diego Real Estate Data

Access building permits, property data, and construction intelligence for the San Diego metropolitan area.

Median Home Price

$820,000

Annual Permit Volume

11,000/year

Price Growth (YoY)

5.5%

Annual Permits

11,000/year

San Diego API Coverage

5 integrated APIs for comprehensive metro intelligence

JANUS

Business Verification API

CHIRON

Professional License Verification API

PLUTUS

Sales Tax Rate API

DAEDALUS

Building Permits API

ATLAS

ZIP Code Intelligence API

Query San Diego Data

Access demographics, real estate, business entities, and more through our unified API. Get started in minutes with your preferred language.

ZIP Code Data

Demographics, income, crime, schools

Business Entities

Company verification and search

Building Permits

Construction activity and trends

Professional Licenses

Contractor and professional data

san-diego_data.py

from olympus import Atlas, Janus

# Get ZIP code demographics
atlas = Atlas(api_key="...")
zip_data = atlas.get_zip("60601")

# Response
{
  "metro": "San Diego",
  "population": 33000,
  "median_income": 82000,
  "median_age": 36.5,
  "school_rating": 7.2
}