Updated: Dec 26, 2024

#26US Metro

Pittsburgh

Metropolitan Data APIs

2.3Mpopulation

Access Pittsburgh metro data. Healthcare and tech renaissance coverage.

$58,000

Median Income

$220,000

Median Home

6,000/year

Permits

-0.3%

Growth Rate

Access Pittsburgh Data Explore ATLAS

Market Insights

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

Hottest ZIP Code

15219

Downtown Pittsburgh

+7%

month-over-month

Permit Type

Healthcare Research Facility

Total This Month

112

View permit trends

Live Update

4 new healthcare research facility permits filed in Pittsburgh this hour

Updated:14m ago

Business Formation Density

Pittsburgh

423

new entities
this month

Top Industry

healthcare

YoY Growth

+2.6%

Density Heatmap

Data updated Dec 26, 12:53 PM

Pittsburgh Demographics

Comprehensive population and economic data via ATLAS API

Metropolitan Population

2.3M

$58,000

Median Income

42.5

Median Age

-0.3%

Growth Rate

#26

Largest US Metro

by population

DAEDALUS Building Permits API

Pittsburgh Real Estate Data

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

Median Home Price

$220,000

Annual Permit Volume

6,000/year

Price Growth (YoY)

3.8%

Annual Permits

6,000/year

Pittsburgh 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 Pittsburgh 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

pittsburgh_data.py

from olympus import Atlas, Janus

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

# Response
{
  "metro": "Pittsburgh",
  "population": 23000,
  "median_income": 58000,
  "median_age": 42.5,
  "school_rating": 7.2
}