Updated: Dec 26, 2024

#40US Metro

Oklahoma City

Metropolitan Data APIs

1.4Mpopulation

Access Oklahoma City metro data. Energy and aerospace hub coverage.

$55,000

Median Income

$220,000

Median Home

10,000/year

Permits

0.8%

Growth Rate

Access Oklahoma City Data Explore ATLAS

Market Insights

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

Hottest ZIP Code

73102

Midtown OKC

+9%

month-over-month

Permit Type

Oil & Gas Operations

Total This Month

145

View permit trends

Live Update

6 new oil & gas operations permits filed in Oklahoma City this hour

Updated:49m ago

Business Formation Density

Oklahoma City

534

new entities
this month

Top Industry

energy

YoY Growth

+3.5%

Density Heatmap

Data updated Dec 26, 03:33 PM

Oklahoma City Demographics

Comprehensive population and economic data via ATLAS API

Metropolitan Population

1.4M

$55,000

Median Income

35.8

Median Age

0.8%

Growth Rate

#40

Largest US Metro

by population

DAEDALUS Building Permits API

Oklahoma City Real Estate Data

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

Median Home Price

$220,000

Annual Permit Volume

10,000/year

Price Growth (YoY)

5.5%

Annual Permits

10,000/year

Oklahoma City 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 Oklahoma City 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

oklahoma-city_data.py

from olympus import Atlas, Janus

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

# Response
{
  "metro": "Oklahoma City",
  "population": 14000,
  "median_income": 55000,
  "median_age": 35.8,
  "school_rating": 7.2
}