Updated: Dec 27, 2024

#15US Metro

Seattle

Metropolitan Data APIs

4.0Mpopulation

Access Seattle metro data including Bellevue and Tacoma. Tech and aerospace hub coverage.

$98,000

Median Income

$720,000

Median Home

18,000/year

Permits

1.1%

Growth Rate

Access Seattle Data Explore ATLAS

Market Insights

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

Hottest ZIP Code

98101

Downtown Seattle

+11%

month-over-month

Permit Type

Tech Campus Build

Total This Month

167

View permit trends

Live Update

6 new tech campus build permits filed in Seattle this hour

Updated:14m ago

Business Formation Density

Seattle

834

new entities
this month

Top Industry

technology

YoY Growth

+5.1%

Density Heatmap

Data updated Dec 27, 01:41 PM

Seattle Demographics

Comprehensive population and economic data via ATLAS API

Metropolitan Population

4.0M

$98,000

Median Income

37.8

Median Age

1.1%

Growth Rate

#15

Largest US Metro

by population

DAEDALUS Building Permits API

Seattle Real Estate Data

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

Median Home Price

$720,000

Annual Permit Volume

18,000/year

Price Growth (YoY)

4.8%

Annual Permits

18,000/year

Seattle API Coverage

6 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

DELPHI

SEC EDGAR Enhanced API

Query Seattle 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

seattle_data.py

from olympus import Atlas, Janus

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

# Response
{
  "metro": "Seattle",
  "population": 40000,
  "median_income": 98000,
  "median_age": 37.8,
  "school_rating": 7.2
}