Polk County, FL parcel and infrastructure data API
Korzy has about 430,000 parcel records for Polk County, Florida, with source updates through August 2026. Nearly every record carries owner names, values and land use; 69% include year built and 69% include building size. In and around the county the API also maps about 30 power plants with about 6,700 MW of capacity, led by natural gas; 4 data-center projects (1 operating); and about 330 miles of active rail. Look up any parcel by address or coordinates, then check water, sewer and infrastructure context at the same point.
Parcel coverage in Polk County
About 430,000 parcel records with boundaries, situs addresses and parcel numbers, with the latest source update from August 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 | Many · 69% | |
| Building size | Many · 69% | |
| Last sale | Some · 15% | |
| Land use | Nearly all · 99% | |
| 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 Polk County records carry an owner name.
Infrastructure in and around Polk County
Power plants
About 30 operable plants with about 6,700 MW of nameplate capacity; largest by capacity: natural gas, battery and pumped storage, solar. Proposed generators add about 190 MW.
Plant details: /api/power/plants/{plant_id}
Substations and transmission
About 150 in-service substations, about 30 rated 230 kV or higher.
About 900 miles of transmission lines: about 390 mi at under 100 kV; about 10 mi at 100–161 kV; about 440 mi at 220–287 kV; 7 mi at 500 kV.
Water and sewer service
Service areas of about 130 community water systems cover about 44% of the county.
Sewer service areas of about 30 systems cover about 34%.
At a point: /api/utilities/context
Data-center projects
4 tracked projects: 1 operating, 2 proposed, 1 status not reported. Reported planned capacity: about 1,600 MW.
Within 10 km of a point: /api/datacenters/context
Flood zones and wetlands
Special flood hazard areas cover about 42% of the county on the current federal flood maps, published October 2026.
Mapped wetlands cover about 21%.
Rail, ports and freight
- About 330 miles of active rail, about 210 of it main line
- About 30 miles of national freight network highway
- 1 port area with reported cargo tonnage
- 1 intermodal rail terminal
Within 25 km of a point: /api/logistics/context
Example requests for Polk 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 2550 DUNDEE RD, WINTER HAVEN, FL 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=2550 DUNDEE RD, WINTER HAVEN, FL' \
https://api.korzy.co/api/searchPython
import os
import requests
response = requests.get(
"https://api.korzy.co/api/search",
params={"q": "2550 DUNDEE RD, WINTER HAVEN, FL"},
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": "12105-1f36f5a3fe2fcd1abd8d",
"address": "2550 DUNDEE RD",
"city": "WINTER HAVEN",
"postcode": "33884",
"county": "POLK",
"statefp": "12",
"longitude": -81.68332232493074,
"latitude": 28.0218941,
"match_type": "exact",
"parcelid": "12-105-262826000000014070",
"parceladdr": "2550 DUNDEE RD",
"parcelcity": "WINTER HAVEN",
"situs_zip": "33884",
"usedesc": "AUTO SALES,AUTO REPAIR AND STORAGE,AUTO SERVICE SHOPS,BODY AND FENDER SHOPS,COMMERCIAL GARAGES",
"land_use_code": "027",
"yearbuilt": 1984,
"building_count": 2,
"taxacres": 1.9466942148760331,
"land_value_usd": 254391,
"assessed_value_usd": 472954,
"market_value_usd": 588799,
"saledate": "2024-03-09",
"updated": "2026-01-01",
"geoid": "12105"
}
],
"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, 12105-1f36f5a3fe2fcd1abd8d, in records. 1 credit per 10 records requested.
curl --fail-with-body -sS --get \
-H "Authorization: Bearer $KORZY_API_KEY" \
--data-urlencode 'longitude=-81.683322' \
--data-urlencode 'latitude=28.021894' \
--data-urlencode 'limit=5' \
https://api.korzy.co/api/query/pointJavaScript
const params = new URLSearchParams({"longitude": "-81.683322", "latitude": "28.021894", "limit": "5"});
const response = await fetch(`https://api.korzy.co/api/query/point?${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 water and sewer service
/api/utilities/context returns the water and sewer service areas at the point and the nearest treatment plants. 1 credit.
curl --fail-with-body -sS --get \
-H "Authorization: Bearer $KORZY_API_KEY" \
--data-urlencode 'longitude=-81.683322' \
--data-urlencode 'latitude=28.021894' \
https://api.korzy.co/api/utilities/contextPython
import os
import requests
response = requests.get(
"https://api.korzy.co/api/utilities/context",
params={"longitude": "-81.683322", "latitude": "28.021894"},
headers={"Authorization": f"Bearer {os.environ['KORZY_API_KEY']}"},
timeout=30,
)
response.raise_for_status()
matches = response.json()["matches"]
print([area["name"] for area in matches["water"]])Response (trimmed)
{
"longitude": -81.683322,
"latitude": 28.021894,
"matches": {
"water": [
{
"feature_id": "water:40919",
"name": "WINTER HAVEN WATER DEPARTMENT",
"boundary_basis": "System Sourced"
}
],
"sewer": [
{
"feature_id": "sewer:5125",
"name": "WINTER HAVEN WWTP#3",
"boundary_basis": "Modeled"
}
]
},
"nearby_treatment": [
{
"feature_id": "treatment:949",
"name": "WINTER HAVEN WWTP #2",
"distance_km": 5.674391914163603
},
{
"feature_id": "treatment:950",
"name": "WINTER HAVEN WWTP#3",
"distance_km": 8.090518241950532
}
]
}Polk County data questions
- How many parcels in Polk County include year built?
- About 300,000 of about 430,000 parcel records (69%) include year built.
- Does the Korzy API return owner names for Polk County parcels?
- Yes. 99% of Polk 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 Polk County?
- Korzy tracks 4 data-center projects in Polk County: 2 proposed, 1 operating and 1 status not reported. /api/datacenters/context lists projects within 10 km of any point.
- How much power generation is in Polk County?
- About 30 operable power plants in Polk County total about 6,700 MW of nameplate capacity, mainly natural gas, battery and pumped storage and solar.
- Which water systems serve Polk County?
- Service areas of about 130 community water systems cover about 44% of Polk County, and sewer service areas cover about 34%. /api/utilities/context returns the water and sewer matches at a point.
More featured counties
- Hillsborough County, FLBorders Polk County · about 530,000 parcels
- Orange County, FLBorders Polk County · about 580,000 parcels
- Miami-Dade County, FLabout 920,000 parcels
- Palm Beach County, FLabout 690,000 parcels
- Broward County, FLabout 780,000 parcels
Build on Polk 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.