Palm Beach County, FL parcel and infrastructure data API

Korzy has about 690,000 parcel records for Palm Beach County, Florida, with source updates through August 2026. Nearly every record carries last sale and land use; 92% include owner names and 92% include values. In and around the county the API also maps about 10 power plants with about 6,200 MW of capacity, led by natural gas; 5 data-center projects (5 operating); and 2 ports 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 Palm Beach County

About 690,000 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:

FieldCoverageShare
Situs addressNearly all · 99%
Owner nameMost · 92%
Assessed or market valueMost · 92%
Year builtMost · 87%
Building sizeMost · 87%
Last saleNearly all · 95%
Land useNearly all · 98%
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. 92% of Palm Beach County records carry an owner name.

Infrastructure in and around Palm Beach County

Power plants

About 10 operable plants with about 6,200 MW of nameplate capacity; largest by capacity: natural gas, battery and pumped storage, solar.

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

Substations and transmission

About 100 in-service substations, about 20 rated 230 kV or higher.

About 1,000 miles of transmission lines: about 15 mi at under 100 kV; about 330 mi at 100–161 kV; about 320 mi at 220–287 kV; about 220 mi at 500 kV.

Water and sewer service

Service areas of about 35 community water systems cover about 22% of the county.

Sewer service areas of 9 systems cover about 15%.

At a point: /api/utilities/context

Data-center projects

5 tracked projects: 5 operating.

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

Flood zones and wetlands

Special flood hazard areas cover about 35% of the county on the current federal flood maps, published October 2026.

Mapped wetlands cover about 27%.

Rail, ports and freight

  • About 230 miles of active rail, about 150 of it main line
  • About 55 miles of national freight network highway
  • 2 port areas with reported cargo tonnage
  • 1 intermodal rail terminal

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

Example requests for Palm Beach 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 5283 LAKE WORTH RD, GREENACRES, 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=5283 LAKE WORTH RD, GREENACRES, FL' \
  https://api.korzy.co/api/search
Python
import os
import requests

response = requests.get(
    "https://api.korzy.co/api/search",
    params={"q": "5283 LAKE WORTH RD, GREENACRES, 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": "12099-3a3e06789a2f90869330",
      "address": "5283 LAKE WORTH RD",
      "city": "GREENACRES",
      "postcode": "33463",
      "county": "Palm Beach",
      "statefp": "12",
      "longitude": -80.12617628367042,
      "latitude": 26.6195157,
      "match_type": "exact",
      "parcelid": "18424423000005130",
      "parceladdr": "5283 LAKE WORTH RD",
      "parcelcity": "GREENACRES",
      "situs_zip": "33463",
      "usedesc": "STORES",
      "land_use_code": "011",
      "yearbuilt": 1982,
      "building_count": 1,
      "taxacres": 1.2784894398530762,
      "land_value_usd": 1534983,
      "assessed_value_usd": 2218511,
      "market_value_usd": 2643170,
      "saledate": "2003-01-21",
      "updated": "2026-01-01",
      "geoid": "12099"
    }
  ],
  "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, 12099-3a3e06789a2f90869330, in records. 1 credit per 10 records requested.

curl --fail-with-body -sS --get \
  -H "Authorization: Bearer $KORZY_API_KEY" \
  --data-urlencode 'longitude=-80.126176' \
  --data-urlencode 'latitude=26.619516' \
  --data-urlencode 'limit=5' \
  https://api.korzy.co/api/query/point
JavaScript
const params = new URLSearchParams({"longitude": "-80.126176", "latitude": "26.619516", "limit": "5"});
const response = await fetch(`https://api.korzy.co/api/query/point?${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=-80.126176' \
  --data-urlencode 'latitude=26.619516' \
  --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": "-80.126176", "latitude": "26.619516", "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": [],
  "radius_km": 10,
  "limit": 3,
  "truncated": false
}

Palm Beach County data questions

How many parcels in Palm Beach County include year built?
About 600,000 of about 690,000 parcel records (87%) include year built.
Does the Korzy API return owner names for Palm Beach County parcels?
Yes. 92% of Palm Beach 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 Palm Beach County?
Korzy tracks 5 data-center projects in Palm Beach County: 5 operating. /api/datacenters/context lists projects within 10 km of any point.
How much power generation is in Palm Beach County?
About 10 operable power plants in Palm Beach County total about 6,200 MW of nameplate capacity, mainly natural gas, battery and pumped storage and solar.
Which water systems serve Palm Beach County?
Service areas of about 35 community water systems cover about 22% of Palm Beach County, and sewer service areas cover about 15%. /api/utilities/context returns the water and sewer matches at a point.

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Build on Palm Beach 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.