Montgomery County, PA parcel and infrastructure data API

Parcel coverage in Montgomery County

About 310,000 parcel records with boundaries, situs addresses and parcel numbers, with the latest source update from November 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:

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. 96% of Montgomery County records carry an owner name.

Infrastructure in and around Montgomery County

Example requests for Montgomery 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 1730 VALLEY FORGE RD, NORRISTOWN, PA 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=1730 VALLEY FORGE RD, NORRISTOWN, PA' \
  https://api.korzy.co/api/search

import os
import requests

response = requests.get(
    "https://api.korzy.co/api/search",
    params={"q": "1730 VALLEY FORGE RD, NORRISTOWN, PA"},
    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"])

{
  "results": [
    {
      "korzy_id": "42091-1d4534c01a90afe37627",
      "address": "1730 VALLEY FORGE RD",
      "city": "NORRISTOWN",
      "postcode": "19403",
      "county": "MONTGOMERY",
      "statefp": "42",
      "longitude": -75.34912648112679,
      "latitude": 40.19493985003383,
      "match_type": "exact",
      "parcelid": "67018 009",
      "parceladdr": "1730 VALLEY FORGE RD",
      "parcelcity": "NORRISTOWN",
      "situs_zip": "19403",
      "land_use_code": "1132",
      "zoning_code": "C",
      "yearbuilt": 1870,
      "bldgsqft": 5424,
      "taxacres": 2.450000047683716,
      "totalvalue": 185000,
      "assessed_value_usd": 185000,
      "market_value_usd": 185000,
      "saledate": "2024-05-30",
      "saleamt": 679000,
      "updated": "2026-11-01",
      "geoid": "42091"
    }
  ],
  "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, 42091-1d4534c01a90afe37627, in records. 1 credit per 10 records requested.

curl --fail-with-body -sS --get \
  -H "Authorization: Bearer $KORZY_API_KEY" \
  --data-urlencode 'longitude=-75.349126' \
  --data-urlencode 'latitude=40.19494' \
  --data-urlencode 'limit=5' \
  https://api.korzy.co/api/query/point

const params = new URLSearchParams({"longitude": "-75.349126", "latitude": "40.19494", "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=-75.349126' \
  --data-urlencode 'latitude=40.19494' \
  --data-urlencode 'radius_km=10' \
  --data-urlencode 'limit=3' \
  https://api.korzy.co/api/datacenters/context

import os
import requests

response = requests.get(
    "https://api.korzy.co/api/datacenters/context",
    params={"longitude": "-75.349126", "latitude": "40.19494", "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"])

{
  "projects": [
    {
      "project_id": "dc_2b2cf7d235862a599878",
      "name": "Lumen Norristown",
      "operator": "Lumen Technologies",
      "status": "operating",
      "city": "Norristown",
      "state": "PA",
      "longitude": -75.40844538604114,
      "latitude": 40.12713025,
      "location_precision": "footprint",
      "distance_km": 9.069952675979785
    }
  ],
  "radius_km": 10,
  "limit": 3,
  "truncated": false
}

Montgomery County data questions

How many parcels in Montgomery County include year built?

About 310,000 of about 310,000 parcel records (99%) include year built.

Does the Korzy API return owner names for Montgomery County parcels?

Yes. 96% of Montgomery 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 Montgomery County?

Korzy tracks 7 data-center projects in Montgomery County: 3 operating, 3 proposed and 1 status not reported. /api/datacenters/context lists projects within 10 km of any point.

How much power generation is in Montgomery County?

9 operable power plants in Montgomery County total about 2,500 MW of nameplate capacity, mainly nuclear, natural gas and oil.

Which water systems serve Montgomery County?

Service areas of about 45 community water systems cover about 67% of Montgomery County, and sewer service areas cover about 35%. /api/utilities/context returns the water and sewer matches at a point.

More featured counties

• Philadelphia County, PABorders Montgomery County · about 580,000 parcels
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• York County, PAabout 180,000 parcels

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