Madison County, AL parcel and infrastructure data API
Korzy has about 190,000 parcel records for Madison County, Alabama, with source updates through October 2026. Nearly every record carries owner names, values and last sale. In and around the county the API also maps 7 data-center projects (5 operating); 2 power plants with about 45 MW of capacity, led by solar; and about 65 miles of active rail. Look up any parcel by address or coordinates, then check nearby data-center projects, utilities and grid context at the same point.
Parcel coverage in Madison County
About 190,000 parcel records with boundaries, situs addresses and parcel numbers, with the latest source update from October 2026. Each record has a stable korzy_id you can store and look up again with /api/parcel-record. Share of records with each field:
| Field | Coverage | Share |
|---|---|---|
| Situs address | Nearly all · 100% | |
| Owner name | Nearly all · 99% | |
| Assessed or market value | Nearly all · 99% | |
| Year built | Not published | |
| Building size | Not published | |
| Last sale | Nearly all · 95% | |
| Land use | Not published | |
| Zoning | Not published |
Owner name and mailing address are returned with include_owner=true, which doubles a request's cost: a parcel record costs 2 credits instead of 1. 99% of Madison County records carry an owner name.
Infrastructure in and around Madison County
Power plants
2 operable plants with about 45 MW of nameplate capacity; largest by capacity: solar, battery and pumped storage.
Plant details: /api/power/plants/{plant_id}
Substations and transmission
About 150 in-service substations, 1 rated 230 kV or higher.
About 410 miles of transmission lines: about 130 mi at under 100 kV; about 150 mi at 100–161 kV; about 45 mi at 500 kV.
Water and sewer service
Service areas of about 10 community water systems cover about 41% of the county.
Sewer service areas of about 15 systems cover about 16%.
At a point: /api/utilities/context
Data-center projects
7 tracked projects: 5 operating, 2 status not reported. Reported planned capacity: about 15 MW.
Within 10 km of a point: /api/datacenters/context
Flood zones and wetlands
Special flood hazard areas cover about 18% of the county on the current federal flood maps, published October 2026.
Mapped wetlands cover about 7%.
Rail, ports and freight
- About 65 miles of active rail, about 50 of it main line
- About 15 miles of national freight network highway
- 1 intermodal rail terminal
Within 25 km of a point: /api/logistics/context
Example requests for Madison County
Real responses from the production API, trimmed to the main fields. Every request needs an API key with api:read; see authentication and credits and limits.
1. Find a parcel by address
/api/search matches 165 WEST PARK LOOP NW, AL 35806 and returns the parcel's korzy_id, coordinates and record. 1 credit.
curl --fail-with-body -sS --get \
-H "Authorization: Bearer $KORZY_API_KEY" \
--data-urlencode 'q=165 WEST PARK LOOP NW, AL 35806' \
https://api.korzy.co/api/searchPython
import os
import requests
response = requests.get(
"https://api.korzy.co/api/search",
params={"q": "165 WEST PARK LOOP NW, AL 35806"},
headers={"Authorization": f"Bearer {os.environ['KORZY_API_KEY']}"},
timeout=30,
)
response.raise_for_status()
parcel = response.json()["results"][0]
print(parcel["korzy_id"], parcel["longitude"], parcel["latitude"])Response (trimmed)
{
"results": [
{
"korzy_id": "01089-a272c3190b8e5f21398a",
"address": "165 WEST PARK LOOP NW",
"postcode": "35806",
"county": "Madison",
"statefp": "01",
"longitude": -86.69200402937432,
"latitude": 34.74537345,
"match_type": "exact",
"parcelid": "105253",
"parceladdr": "165 WEST PARK LOOP NW",
"situs_zip": "35806",
"taxacres": 2.27,
"land_value_usd": 493600,
"improvement_value_usd": 1511300,
"assessed_value_usd": 362680,
"market_value_usd": 2004900,
"saledate": "2016-12-29",
"updated": "2026-10-30",
"geoid": "01089"
}
],
"truncated": false
}With include_owner=true (2 credits) the record adds owner fields, shown here as placeholders:
{
"owner_name": "EXAMPLE HOLDINGS LLC",
"owner_mailing_address": "100 EXAMPLE ST, SAMPLE CITY, ST 00000"
}2. Look up the parcel at a point
/api/query/point returns every parcel whose boundary covers the coordinates; here it returns the same record, 01089-a272c3190b8e5f21398a, in records. 1 credit per 10 records requested.
curl --fail-with-body -sS --get \
-H "Authorization: Bearer $KORZY_API_KEY" \
--data-urlencode 'longitude=-86.692004' \
--data-urlencode 'latitude=34.745373' \
--data-urlencode 'limit=5' \
https://api.korzy.co/api/query/pointJavaScript
const params = new URLSearchParams({"longitude": "-86.692004", "latitude": "34.745373", "limit": "5"});
const response = await fetch(`https://api.korzy.co/api/query/point?${params}`, {
headers: { Authorization: `Bearer ${process.env.KORZY_API_KEY}` },
});
if (!response.ok) throw new Error(`Korzy API ${response.status}`);
const { records } = await response.json();
console.log(records.map((record) => record.korzy_id));3. Check nearby data-center projects
/api/datacenters/context lists data-center projects within 10 km of the point, nearest first. 1 credit per 10 records requested.
curl --fail-with-body -sS --get \
-H "Authorization: Bearer $KORZY_API_KEY" \
--data-urlencode 'longitude=-86.692004' \
--data-urlencode 'latitude=34.745373' \
--data-urlencode 'radius_km=10' \
--data-urlencode 'limit=3' \
https://api.korzy.co/api/datacenters/contextPython
import os
import requests
response = requests.get(
"https://api.korzy.co/api/datacenters/context",
params={"longitude": "-86.692004", "latitude": "34.745373", "radius_km": "10", "limit": "3"},
headers={"Authorization": f"Bearer {os.environ['KORZY_API_KEY']}"},
timeout=30,
)
response.raise_for_status()
for project in response.json()["projects"]:
print(project["name"], project["status"], project["distance_km"])Response (trimmed)
{
"projects": [
{
"project_id": "dc_d302f928b264473f7318",
"name": "SimpleHelix",
"status": "unknown",
"city": "Huntsville",
"state": "AL",
"longitude": -86.69188299999999,
"latitude": 34.745430999999996,
"location_precision": "footprint",
"distance_km": 0.01279917376492057
},
{
"project_id": "dc_5bd7ef8f8ee1869011ea",
"name": "Simple Helix Data Center",
"operator": "Simple Helix, LLC",
"status": "operating",
"city": "Huntsville",
"state": "AL",
"longitude": -86.691765682048,
"latitude": 34.744816340398,
"location_precision": "approximate",
"distance_km": 0.06561614828232268
},
{
"project_id": "dc_122221a71926daf62b39",
"name": "Alabama Supercomputer Center",
"operator": "Alabama Supercomputer Authority",
"status": "operating",
"city": "Huntsville",
"state": "AL",
"longitude": -86.67312713368352,
"latitude": 34.73651995,
"location_precision": "footprint",
"distance_km": 1.985985950887515
}
],
"radius_km": 10,
"limit": 3,
"truncated": true
}Madison County data questions
- How many parcels in Madison County include last sale?
- About 180,000 of about 190,000 parcel records (95%) include last sale.
- Does the Korzy API return owner names for Madison County parcels?
- Yes. 99% of Madison County parcel records carry an owner name. Add include_owner=true to a point, search or parcel-record request; it doubles the request's cost, so a single parcel record costs 2 credits.
- How many data-center projects are in Madison County?
- Korzy tracks 7 data-center projects in Madison County: 5 operating and 2 status not reported. /api/datacenters/context lists projects within 10 km of any point.
- How much power generation is in Madison County?
- 2 operable power plants in Madison County total about 45 MW of nameplate capacity, mainly solar and battery and pumped storage.
- Which water systems serve Madison County?
- Service areas of about 10 community water systems cover about 41% of Madison County, and sewer service areas cover about 16%. /api/utilities/context returns the water and sewer matches at a point.
More featured counties
- Jefferson County, ALabout 330,000 parcels
- Tuscaloosa County, ALabout 120,000 parcels
Build on Madison County parcel data
Search, point and record lookups work the same in every county Korzy covers. Credits are shared across parcels, utilities, environment, logistics and data-center routes.