As of October 20, 2026, ListRiver's records show 116 healthcare organizations in Cheektowaga, New York (practices, clinics and facilities with a National Provider Identifier (NPI)). 100% have a phone number, 1% an email address and 100% a named contact. 2 formed in the last 12 months.
Each record includes NPI, primary specialty, practice phone, the authorized official's name and title, and, for facilities, private-equity and chain ownership where on file.
How many healthcare organizations are in Cheektowaga, New York?
ListRiver has 116 healthcare organizations in Cheektowaga, New York on record as of October 20, 2026. 69 of them are known from federal records only and have no state business filing.
How many have a phone number, email or contact name?
116 (100%) have a phone number, 1 (1%) an email address and 116 (100%) a named contact. The list builder can require any of them, so you pay only for records that have it.
What does each record include?
The business name, address and NPI, primary specialty, practice phone, the authorized official's name and title, and, for facilities, private-equity and chain ownership where on file, plus every standard ListRiver column (see the data dictionary).
How many healthcare organizations are new?
2 healthcare organizations in Cheektowaga, New York formed in the last 12 months.
How much does a list of healthcare organizations cost?
$0.06 per record, with a $50 minimum order and 6 monthly refresh files included. The list builder shows the exact count and price for your filters before you buy.
Who uses these lists?
Medical billing and staffing firms, device and pharmaceutical reps, practice-management software, insurers and suppliers.
Built from public federal agency records and official state business registries, matched to each business by name and address and refreshed as the agencies publish updates. Phone, email and contact names are included where on file; nothing is estimated or filled in. The sample above shows only businesses registered with a state. See the methodology and the data dictionary for every column.