Updated: Dec 27, 2024

#32US Metro

Indianapolis

Metropolitan Data APIs

2.1Mpopulation

Access Indianapolis metro data. Midwest crossroads coverage.

$58,000

Median Income

$260,000

Median Home

12,000/year

Permits

0.8%

Growth Rate

Access Indianapolis Data Explore ATLAS

Market Insights

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

Hottest ZIP Code

46204

Downtown Indianapolis

+11%

month-over-month

Permit Type

Manufacturing Facility

Total This Month

178

View permit trends

Live Update

7 new manufacturing facility permits filed in Indianapolis this hour

Updated:1h ago

Business Formation Density

Indianapolis

634

new entities
this month

Top Industry

automotive

YoY Growth

+3.9%

Density Heatmap

Data updated Dec 27, 11:03 AM

Indianapolis Demographics

Comprehensive population and economic data via ATLAS API

Metropolitan Population

2.1M

$58,000

Median Income

36.5

Median Age

0.8%

Growth Rate

#32

Largest US Metro

by population

DAEDALUS Building Permits API

Indianapolis Real Estate Data

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

Median Home Price

$260,000

Annual Permit Volume

12,000/year

Price Growth (YoY)

5.8%

Annual Permits

12,000/year

Indianapolis 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 Indianapolis 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

indianapolis_data.py

from olympus import Atlas, Janus

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

# Response
{
  "metro": "Indianapolis",
  "population": 21000,
  "median_income": 58000,
  "median_age": 36.5,
  "school_rating": 7.2
}