Prince George's County, MD parcel and infrastructure data API

Korzy has about 350,000 parcel records for Prince George's County, Maryland, with source updates through May 2026. Nearly every record carries values, last sale and building size; 87% include year built. In and around the county the API also maps about 30 power plants with about 3,100 MW of capacity, led by natural gas; 4 data-center projects (1 operating); and about 75 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 Prince George's County

About 350,000 parcel records with boundaries, situs addresses and parcel numbers, with the latest source update from May 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 nameNot published
Assessed or market valueNearly all · 100%
Year builtMost · 87%
Building sizeNearly all · 99%
Last saleNearly all · 100%
Land useNot published
ZoningNot published

Prince George's County records do not include owner names. See pricing for credit costs.

Infrastructure in and around Prince George's County

Power plants

About 30 operable plants with about 3,100 MW of nameplate capacity; largest by capacity: natural gas, battery and pumped storage, oil. Proposed generators add about 15 MW.

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

Substations and transmission

About 80 in-service substations, about 20 rated 230 kV or higher.

About 550 miles of transmission lines: about 85 mi at under 100 kV; about 35 mi at 100–161 kV; about 400 mi at 220–287 kV; about 25 mi at 500 kV.

Water and sewer service

Service areas of about 10 community water systems cover about 70% of the county.

Sewer service areas of about 10 systems cover about 64%.

At a point: /api/utilities/context

Data-center projects

4 tracked projects: 1 operating, 1 permitted, 1 proposed, 1 status not reported. Reported planned capacity: about 830 MW.

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

Grid capacity data

2 utility-published grid capacity layers cover parts of Prince George's County, including load headroom.

Sources and dates: /api/grid/capacity/summary

Flood zones and wetlands

Special flood hazard areas cover about 11% of the county on the current federal flood maps, published May 2026.

Mapped wetlands cover about 6%.

Rail, ports and freight

  • About 75 miles of active rail, about 70 of it main line
  • About 50 miles of national freight network highway

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

Example requests for Prince George's 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 11700 MONTGOMERY RD, BELTSVILLE, MD 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=11700 MONTGOMERY RD, BELTSVILLE, MD' \
  https://api.korzy.co/api/search
Python
import os
import requests

response = requests.get(
    "https://api.korzy.co/api/search",
    params={"q": "11700 MONTGOMERY RD, BELTSVILLE, MD"},
    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": "24033-583388cb9e3ef5e25c9b",
      "address": "11700 MONTGOMERY RD",
      "city": "BELTSVILLE",
      "postcode": "20705",
      "county": "Prince George's",
      "statefp": "24",
      "longitude": -76.9257587431346,
      "latitude": 39.0530541,
      "match_type": "exact",
      "parcelid": "010003913",
      "parceladdr": "11700 MONTGOMERY RD",
      "parcelcity": "BELTSVILLE",
      "situs_zip": "20705",
      "yearbuilt": 1978,
      "bldgsqft": 40331,
      "taxacres": 4.49,
      "totalvalue": 4326300,
      "saledate": "2003-11-26",
      "saleamt": 2800000,
      "updated": "2025-10-10",
      "geoid": "24033"
    }
  ],
  "truncated": false
}

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, 24033-583388cb9e3ef5e25c9b, in records. 1 credit per 10 records requested.

curl --fail-with-body -sS --get \
  -H "Authorization: Bearer $KORZY_API_KEY" \
  --data-urlencode 'longitude=-76.925759' \
  --data-urlencode 'latitude=39.053054' \
  --data-urlencode 'limit=5' \
  https://api.korzy.co/api/query/point
JavaScript
const params = new URLSearchParams({"longitude": "-76.925759", "latitude": "39.053054", "limit": "5"});
const response = await fetch(`https://api.korzy.co/api/query/point?${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=-76.925759' \
  --data-urlencode 'latitude=39.053054' \
  https://api.korzy.co/api/utilities/context
Python
import os
import requests

response = requests.get(
    "https://api.korzy.co/api/utilities/context",
    params={"longitude": "-76.925759", "latitude": "39.053054"},
    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": -76.925759,
  "latitude": 39.053054,
  "matches": {
    "water": [
      {
        "feature_id": "water:37151",
        "name": "WASHINGTON SUBURBAN SANITARY COMMISSION",
        "boundary_basis": "System Sourced"
      }
    ],
    "sewer": [
      {
        "feature_id": "sewer:218",
        "name": "BLUE PLAINS STP",
        "boundary_basis": "Sourced"
      }
    ]
  },
  "nearby_treatment": [
    {
      "feature_id": "treatment:13599",
      "name": "PARKWAY STP",
      "distance_km": 8.097945652980451
    },
    {
      "feature_id": "treatment:11730",
      "name": "MARYLAND CITY WWTP",
      "distance_km": 9.396318702333557
    }
  ]
}

Prince George's County data questions

How many parcels in Prince George's County include year built?
About 300,000 of about 350,000 parcel records (87%) include year built.
Does the Korzy API return owner names for Prince George's County parcels?
Prince George's County parcel records do not include owner names. Values, land use and building facts are returned where the county publishes them.
How many data-center projects are in Prince George's County?
Korzy tracks 4 data-center projects in Prince George's County: 1 operating, 1 permitted and 1 proposed. /api/datacenters/context lists projects within 10 km of any point.
How much power generation is in Prince George's County?
About 30 operable power plants in Prince George's County total about 3,100 MW of nameplate capacity, mainly natural gas, battery and pumped storage and oil.
Which water systems serve Prince George's County?
Service areas of about 10 community water systems cover about 70% of Prince George's 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 Prince George's 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.