Updated: Dec 27, 2024

#9US Metro

Atlanta

Metropolitan Data APIs

6.0Mpopulation

Access Atlanta metro data including demographics, permits, and business verification. Southeast economic capital coverage.

$72,000

Median Income

$380,000

Median Home

32,000/year

Permits

1.4%

Growth Rate

Access Atlanta Data Explore ATLAS

Market Insights

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

Hottest ZIP Code

30303

Midtown Atlanta

+15%

month-over-month

Permit Type

Tech Office Space

Total This Month

289

View permit trends

Live Update

12 new tech office space permits filed in Atlanta this hour

Updated:1h ago

Business Formation Density

Atlanta

845

new entities
this month

Top Industry

logistics

YoY Growth

+6.3%

Density Heatmap

Data updated Dec 27, 01:05 PM

Atlanta Demographics

Comprehensive population and economic data via ATLAS API

Metropolitan Population

6.0M

$72,000

Median Income

36.5

Median Age

1.4%

Growth Rate

Largest US Metro

by population

DAEDALUS Building Permits API

Atlanta Real Estate Data

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

Median Home Price

$380,000

Annual Permit Volume

32,000/year

Price Growth (YoY)

5.5%

Annual Permits

32,000/year

Atlanta 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 Atlanta 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

atlanta_data.py

from olympus import Atlas, Janus

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

# Response
{
  "metro": "Atlanta",
  "population": 60000,
  "median_income": 72000,
  "median_age": 36.5,
  "school_rating": 7.2
}