Greenville County, SC parcel and infrastructure data API

Korzy has about 240,000 parcel records for Greenville County, South Carolina, with source updates through October 2026. Nearly every record carries owner names, values, last sale and land use; 73% include building size. In and around the county the API also maps 3 data-center projects (2 operating and 1 under construction); 6 power plants with about 15 MW of capacity, led by hydro; and about 110 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 Greenville County

About 240,000 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:

FieldCoverageShare
Situs addressNearly all · 99%
Owner nameNearly all · 99%
Assessed or market valueNearly all · 100%
Year builtNot published
Building sizeMany · 73%
Last saleNearly all · 100%
Land useNearly all · 99%
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. 99% of Greenville County records carry an owner name.

Infrastructure in and around Greenville County

Power plants

6 operable plants with about 15 MW of nameplate capacity; largest by capacity: hydro, oil, solar.

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

Substations and transmission

About 130 in-service substations, 3 rated 230 kV or higher.

About 650 miles of transmission lines: about 30 mi at under 100 kV; about 440 mi at 100–161 kV; about 130 mi at 220–287 kV; about 35 mi at 500 kV.

Water and sewer service

Service areas of about 20 community water systems cover about 67% of the county.

Sewer service areas of about 15 systems cover about 42%.

At a point: /api/utilities/context

Data-center projects

3 tracked projects: 2 operating, 1 under construction. Reported planned capacity: about 10 MW.

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

Flood zones and wetlands

Special flood hazard areas cover about 6% of the county on the current federal flood maps, published October 2026.

Mapped wetlands cover about 1%.

Rail, ports and freight

  • About 110 miles of active rail, about 80 of it main line
  • About 50 miles of national freight network highway

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

Example requests for Greenville 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 97 HALTON RD, GREENVILLE, SC 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=97 HALTON RD, GREENVILLE, SC' \
  https://api.korzy.co/api/search
Python
import os
import requests

response = requests.get(
    "https://api.korzy.co/api/search",
    params={"q": "97 HALTON RD, GREENVILLE, SC"},
    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": "45045-bad485f649d277403b9b",
      "address": "97 HALTON RD",
      "city": "GREENVILLE",
      "postcode": "29601",
      "county": "GREENVILLE",
      "statefp": "45",
      "longitude": -82.33426335485481,
      "latitude": 34.84133915000019,
      "match_type": "exact",
      "parcelid": "0260000100111",
      "parceladdr": "97 HALTON RD",
      "parcelcity": "GREENVILLE",
      "situs_zip": "29601",
      "land_use_code": "421",
      "taxacres": 17.07,
      "totalvalue": 27693020,
      "market_value_usd": 42798870,
      "saledate": "2020-03-24",
      "saleamt": 33100000,
      "updated": "2026-10-29",
      "geoid": "45045"
    }
  ],
  "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, 45045-bad485f649d277403b9b, in records. 1 credit per 10 records requested.

curl --fail-with-body -sS --get \
  -H "Authorization: Bearer $KORZY_API_KEY" \
  --data-urlencode 'longitude=-82.334263' \
  --data-urlencode 'latitude=34.841339' \
  --data-urlencode 'limit=5' \
  https://api.korzy.co/api/query/point
JavaScript
const params = new URLSearchParams({"longitude": "-82.334263", "latitude": "34.841339", "limit": "5"});
const response = await fetch(`https://api.korzy.co/api/query/point?${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=-82.334263' \
  --data-urlencode 'latitude=34.841339' \
  https://api.korzy.co/api/utilities/context
Python
import os
import requests

response = requests.get(
    "https://api.korzy.co/api/utilities/context",
    params={"longitude": "-82.334263", "latitude": "34.841339"},
    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": -82.334263,
  "latitude": 34.841339,
  "matches": {
    "water": [
      {
        "feature_id": "water:22574",
        "name": "GREENVILLE WATER (2310001)",
        "boundary_basis": "System Sourced"
      }
    ],
    "sewer": [
      {
        "feature_id": "sewer:14330",
        "name": "PELHAM WWTP",
        "boundary_basis": "Modeled"
      }
    ]
  },
  "nearby_treatment": [
    {
      "feature_id": "treatment:8032",
      "name": "MAULDIN RD PLANT",
      "distance_km": 5.743840762169275
    },
    {
      "feature_id": "treatment:13618",
      "name": "PELHAM WWTP",
      "distance_km": 9.699194479087845
    }
  ]
}

Greenville County data questions

How many parcels in Greenville County include building size?
About 180,000 of about 240,000 parcel records (73%) include building size.
Does the Korzy API return owner names for Greenville County parcels?
Yes. 99% of Greenville 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 Greenville County?
Korzy tracks 3 data-center projects in Greenville County: 2 operating and 1 under construction. /api/datacenters/context lists projects within 10 km of any point.
How much power generation is in Greenville County?
6 operable power plants in Greenville County total about 15 MW of nameplate capacity, mainly hydro, oil and solar.
Which water systems serve Greenville County?
Service areas of about 20 community water systems cover about 67% of Greenville County, and sewer service areas cover about 42%. /api/utilities/context returns the water and sewer matches at a point.

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Build on Greenville 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.