Hillsborough County, FL parcel and infrastructure data API

Korzy has about 530,000 parcel records for Hillsborough County, Florida, with source updates through August 2026. Nearly every record carries owner names, values and land use; 91% include year built and 90% include building size. In and around the county the API also maps about 25 power plants with about 5,100 MW of capacity, led by natural gas; 7 data-center projects (6 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 Hillsborough County

About 530,000 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 /v1/records/{id}. Share of records with each field:

FieldCoverageShare
Situs addressNearly all · 99%
Owner nameNearly all · 99%
Assessed or market valueNearly all · 99%
Year builtMost · 91%
Building sizeMost · 90%
Last saleSome · 23%
Land useNearly all · 99%
ZoningNot published

Owner name and mailing address are returned by /v1/enrich with the owner group, at 2 credits per parcel instead of 1 credit. 99% of Hillsborough County records carry an owner name.

Infrastructure in and around Hillsborough County

Power plants

About 25 operable plants with about 5,100 MW of nameplate capacity; largest by capacity: natural gas, battery and pumped storage, solar. Proposed generators add about 95 MW.

Within 50 km: /v1/lookup section power; details: /v1/records/{id}

Substations and transmission

About 220 in-service substations, about 25 rated 230 kV or higher.

About 970 miles of transmission lines: about 460 mi at under 100 kV; about 100 mi at 100–161 kV; about 350 mi at 220–287 kV.

Water and sewer service

Service areas of about 130 community water systems cover about 50% of the county.

Sewer service areas of about 10 systems cover about 45%.

At an address or point: /v1/lookup section utilities

Data-center projects

7 tracked projects: 6 operating, 1 status not reported. Reported operating capacity: about 15 MW.

Within 10 km: /v1/lookup section datacenters

Flood zones and wetlands

Special flood hazard areas cover about 32% of the county on the current federal flood maps, published October 2026.

Mapped wetlands cover about 18%.

At an address or point: /v1/lookup section environment

Rail, ports and freight

  • About 250 miles of active rail, about 140 of it main line
  • About 95 miles of national freight network highway
  • 2 port areas with reported cargo tonnage
  • 2 intermodal rail terminals

Within 25 km: /v1/lookup section logistics

Example requests for Hillsborough County

The lookup response is a real production response, trimmed to the main fields. Every request needs an API key with api:read; see authentication and credits and limits.

1. Find a parcel and nearby data-center projects

/v1/lookup matches 5002 E 10TH AVE, TAMPA, FL and returns the parcel's korzy_id and record, plus the data-center projects within 10 km, nearest first. 2 credits.

curl --fail-with-body -sS \
  -H "Authorization: Bearer $KORZY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"address":"5002 E 10TH AVE, TAMPA, FL","sections":["datacenters"]}' \
  https://api.korzy.co/v1/lookup
Python
import os
import requests

response = requests.post(
    "https://api.korzy.co/v1/lookup",
    json={"address": "5002 E 10TH AVE, TAMPA, FL", "sections": ["datacenters"]},
    headers={"Authorization": f"Bearer {os.environ['KORZY_API_KEY']}"},
    timeout=60,
)
response.raise_for_status()
body = response.json()
parcel = body["parcels"]["records"][0]
print(parcel["korzy_id"], body["sections"]["datacenters"]["status"])
Production response (trimmed)
{
  "location": {
    "longitude": -82.40082252471508,
    "latitude": 27.96439725,
    "address": "5002 E 10TH AVE, TAMPA",
    "match_type": "exact"
  },
  "parcels": {
    "records": [
      {
        "id": "12057-6f448162ab8f465bd950",
        "korzy_id": "12057-6f448162ab8f465bd950",
        "parcelid": "1929154CS000004000030A",
        "parceladdr": "5002 E 10TH AVE",
        "parcelcity": "TAMPA",
        "situs_zip": "33619",
        "statefp": "12",
        "geoid": "12057",
        "longitude": -82.40082252471508,
        "latitude": 27.96439725,
        "usedesc": "COMMUNITY SHOPPING CENTERS",
        "land_use_code": "016",
        "yearbuilt": 1968,
        "bldgsqft": 51819,
        "building_count": 1,
        "taxacres": 4.752249770431589,
        "totalvalue": 4720300,
        "land_value_usd": 100,
        "assessed_value_usd": 4861909,
        "market_value_usd": 4861909,
        "saledate": "2024-11-28",
        "saleamt": 5475000,
        "updated": "2026-01-01"
      }
    ],
    "truncated": false
  },
  "sections": {
    "datacenters": {
      "status": "ok",
      "data": {
        "radius_km": 10,
        "projects": [
          {
            "id": "datacenter:dc_78bfa9481ed80254f3ea",
            "project_id": "dc_78bfa9481ed80254f3ea",
            "name": "Centersquare Tampa TPA1",
            "operator": "Centersquare",
            "status": "operating",
            "state": "FL",
            "city": "Tampa",
            "address": "9310 Florida Palm Drive",
            "longitude": -82.351102,
            "latitude": 27.9455353,
            "location_precision": "exact",
            "operational_mw": 9,
            "source_count": 1,
            "source_date": "2026-09-21",
            "mapped": true,
            "distance_km": 5.314900745060758
          },
          {
            "id": "datacenter:dc_a0b61d422e987da7d1f2",
            "project_id": "dc_a0b61d422e987da7d1f2",
            "name": "Cyxtera Tampa TP1",
            "operator": "Cyxtera",
            "status": "unknown",
            "state": "FL",
            "city": "Tampa",
            "address": "9310 Florida Palm Drive",
            "longitude": -82.35110076559798,
            "latitude": 27.94553095,
            "location_precision": "footprint",
            "source_count": 2,
            "source_date": "2026-02-09",
            "mapped": true,
            "distance_km": 5.315203130466408
          },
          {
            "id": "datacenter:dc_9970014e3bf4a2477e51",
            "project_id": "dc_9970014e3bf4a2477e51",
            "name": "Hivelocity Tampa 2 (TPA2)",
            "operator": "Hivelocity",
            "status": "operating",
            "state": "FL",
            "city": "Tampa",
            "address": "5908 Hampton Oaks Pkwy, Suite D",
            "longitude": -82.359058,
            "latitude": 28.001197,
            "location_precision": "approximate",
            "source_count": 1,
            "source_date": "2026-09-21",
            "mapped": true,
            "distance_km": 5.793345422121751
          }
        ],
        "truncated": false,
        "note": "Straight-line distance to the reported project point; inspect location_precision. Projects merge supported source matches, not every nearby building. Approximate locations do not identify a parcel. Reported IT load, facility power, planned capacity and estimates remain separate source claims. No record or unknown status does not establish absence or inactivity."
      },
      "provenance": [
        {
          "dataset": "datacenters",
          "as_of": "2026-11-02",
          "data_version": "20261102T123021962884Z"
        }
      ]
    }
  },
  "credits": {
    "charged": 2,
    "refunded": 0
  }
}

2. Add owner and sale fields

/v1/enrich returns the fields you choose for up to 25 parcels per request; here the parcel 12057-6f448162ab8f465bd950, with the owner group. 2 credits.

curl --fail-with-body -sS \
  -H "Authorization: Bearer $KORZY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"items":[{"korzy_id":"12057-6f448162ab8f465bd950"}],"fields":["identity","sale","owner"]}' \
  https://api.korzy.co/v1/enrich

3. Fetch the record again by ID

/v1/records/{id} returns the stored parcel's full record, without owner fields. 1 credit.

curl --fail-with-body -sS \
  -H "Authorization: Bearer $KORZY_API_KEY" \
  https://api.korzy.co/v1/records/12057-6f448162ab8f465bd950
JavaScript
const response = await fetch(`https://api.korzy.co/v1/records/${encodeURIComponent("12057-6f448162ab8f465bd950")}`, {
  headers: { Authorization: `Bearer ${process.env.KORZY_API_KEY}` },
});
if (!response.ok) throw new Error(`Korzy API ${response.status}`);
const { record } = await response.json();
console.log(record.parceladdr, record.usedesc);

Hillsborough County data questions

How many parcels in Hillsborough County include year built?
About 480,000 of about 530,000 parcel records (91%) include year built.
Does the Korzy API return owner names for Hillsborough County parcels?
Yes. 99% of Hillsborough County parcel records carry an owner name. Ask /v1/enrich for the owner group; each parcel then costs 2 credits instead of 1 credit. Lookups and records never include owner fields.
How many data-center projects are in Hillsborough County?
Korzy tracks 7 data-center projects in Hillsborough County: 6 operating and 1 status not reported. A /v1/lookup with the datacenters section lists projects within 10 km of any address or point.
How much power generation is in Hillsborough County?
About 25 operable power plants in Hillsborough County total about 5,100 MW of nameplate capacity, mainly natural gas, battery and pumped storage and solar.
Which water systems serve Hillsborough County?
Service areas of about 130 community water systems cover about 50% of Hillsborough County, and sewer service areas cover about 45%. A /v1/lookup with the utilities section returns the water and sewer matches at an address or point.

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Build on Hillsborough County parcel data

Lookups, enrichment and records work the same in every county Korzy covers. Credits are shared across parcels, utilities, environment, logistics, power, grid, data-center and terrain sections.