Orange County, FL parcel and infrastructure data API

Korzy has about 580,000 parcel records for Orange County, Florida, with source updates through July 2026. Nearly every record carries values, year built and building size; 86% include last sale and 77% include land use. In and around the county the API also maps about 10 power plants with about 2,200 MW of capacity, led by coal; 6 data-center projects (3 operating and 1 under construction); and 1 port with reported cargo. 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 Orange County

About 580,000 parcel records with boundaries, situs addresses and parcel numbers, with the latest source update from July 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:

FieldCoverageShare
Situs addressNearly all · 100%
Owner nameSome · 2%
Assessed or market valueNearly all · 100%
Year builtNearly all · 97%
Building sizeNearly all · 97%
Last saleMost · 86%
Land useMost · 77%
ZoningNot 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. 2% of Orange County records carry an owner name.

Infrastructure in and around Orange County

Power plants

About 10 operable plants with about 2,200 MW of nameplate capacity; largest by capacity: coal, natural gas, battery and pumped storage.

Plant details: /api/power/plants/{plant_id}

Substations and transmission

About 110 in-service substations, about 30 rated 230 kV or higher.

About 790 miles of transmission lines: about 290 mi at under 100 kV; about 95 mi at 100–161 kV; about 350 mi at 220–287 kV; about 45 mi at 500 kV.

Water and sewer service

Service areas of about 60 community water systems cover about 91% of the county.

Sewer service areas of about 20 systems cover about 64%.

At a point: /api/utilities/context

Data-center projects

6 tracked projects: 3 operating, 1 under construction, 2 status not reported.

Within 10 km of a point: /api/datacenters/context

Flood zones and wetlands

Special flood hazard areas cover about 33% of the county on the current federal flood maps, published October 2026.

Mapped wetlands cover about 21%.

Rail, ports and freight

  • About 150 miles of active rail, about 85 of it main line
  • About 70 miles of national freight network highway
  • 1 port area with reported cargo tonnage

Within 25 km of a point: /api/logistics/context

Example requests for Orange 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 1983 BLACKWOOD AVE, Gotha, 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=1983 BLACKWOOD AVE, Gotha, FL' \
  https://api.korzy.co/api/search
Python
import os
import requests

response = requests.get(
    "https://api.korzy.co/api/search",
    params={"q": "1983 BLACKWOOD AVE, Gotha, 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": "12095-96f5f360efed4d68fe8b",
      "address": "1983 BLACKWOOD AVE",
      "city": "Gotha",
      "postcode": "34734",
      "county": "Orange",
      "statefp": "12",
      "longitude": -81.41426032462114,
      "latitude": 28.5443261,
      "match_type": "exact",
      "parcelid": "292228000000040",
      "parceladdr": "1983 BLACKWOOD AVE",
      "parcelcity": "Gotha",
      "situs_zip": "34734",
      "usedesc": "Ind Warehouse",
      "land_use_code": "001",
      "yearbuilt": 1979,
      "bldgsqft": 5862,
      "building_count": 1,
      "taxacres": 1.3026629935720844,
      "totalvalue": 1587584,
      "land_value_usd": 190000,
      "assessed_value_usd": 178338,
      "market_value_usd": 365860,
      "saledate": "2002-11-04",
      "saleamt": 720000,
      "updated": "2026-01-01",
      "geoid": "12095"
    }
  ],
  "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, 12095-96f5f360efed4d68fe8b, in records. 1 credit per 10 records requested.

curl --fail-with-body -sS --get \
  -H "Authorization: Bearer $KORZY_API_KEY" \
  --data-urlencode 'longitude=-81.41426' \
  --data-urlencode 'latitude=28.544326' \
  --data-urlencode 'limit=5' \
  https://api.korzy.co/api/query/point
JavaScript
const params = new URLSearchParams({"longitude": "-81.41426", "latitude": "28.544326", "limit": "5"});
const response = await fetch(`https://api.korzy.co/api/query/point?${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=-81.41426' \
  --data-urlencode 'latitude=28.544326' \
  --data-urlencode 'radius_km=10' \
  --data-urlencode 'limit=3' \
  https://api.korzy.co/api/datacenters/context
Python
import os
import requests

response = requests.get(
    "https://api.korzy.co/api/datacenters/context",
    params={"longitude": "-81.41426", "latitude": "28.544326", "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_2ef585021f44f8ce5999",
      "name": "Colo Solutions Downtown Orlando",
      "operator": "Colo Solutions, LLC",
      "status": "operating",
      "city": "Orlando",
      "state": "FL",
      "longitude": -81.379455,
      "latitude": 28.534496,
      "location_precision": "approximate",
      "distance_km": 3.5712639493723737
    },
    {
      "project_id": "dc_2ecc9c5bf0d25ec4f683",
      "name": "HostDime Orlando Tier IV Data Center",
      "operator": "HostDime",
      "status": "under_construction",
      "city": "Eatonville",
      "state": "FL",
      "longitude": -81.3806,
      "latitude": 28.6106,
      "location_precision": "approximate",
      "distance_km": 8.069110408719466
    },
    {
      "project_id": "dc_74c6300a11671e9978bd",
      "name": "Unnamed data center",
      "status": "unknown",
      "state": "FL",
      "longitude": -81.39342121277349,
      "latitude": 28.6172283,
      "location_precision": "footprint",
      "distance_km": 8.357858202477674
    }
  ],
  "radius_km": 10,
  "limit": 3,
  "truncated": false
}

Orange County data questions

How many parcels in Orange County include year built?
About 560,000 of about 580,000 parcel records (97%) include year built.
Does the Korzy API return owner names for Orange County parcels?
Yes. 2% of Orange 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 Orange County?
Korzy tracks 6 data-center projects in Orange County: 3 operating, 2 status not reported and 1 under construction. /api/datacenters/context lists projects within 10 km of any point.
How much power generation is in Orange County?
About 10 operable power plants in Orange County total about 2,200 MW of nameplate capacity, mainly coal, natural gas and battery and pumped storage.
Which water systems serve Orange County?
Service areas of about 60 community water systems cover about 91% of Orange County, and sewer service areas cover about 64%. /api/utilities/context returns the water and sewer matches at a point.

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Build on Orange 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.