As of October 22, 2026, ListRiver's records show 15,284 trucking companies in Connecticut (motor carriers registered with a USDOT number). 100% have a phone number, 94% an email address and 99% a named contact. 1,580 registered as a carrier in the last 12 months.
Each record includes USDOT and MC numbers, fleet size (trucks and drivers), interstate or intrastate operation, hazmat, the date the carrier registered, and where on file, phone, email and the officer's name.
How many trucking companies are in Connecticut?
ListRiver has 15,284 trucking companies in Connecticut on record as of October 22, 2026. 3,629 of them are known from federal records only and have no state business filing.
How many have a phone number, email or contact name?
15,220 (100%) have a phone number, 14,403 (94%) an email address and 15,105 (99%) 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 USDOT and MC numbers, fleet size (trucks and drivers), interstate or intrastate operation, hazmat, the date the carrier registered, and where on file, phone, email and the officer's name, plus every standard ListRiver column (see the data dictionary).
How many trucking companies are new?
1,580 trucking companies in Connecticut registered as a carrier in the last 12 months.
How much does a list of trucking companies cost?
$0.03 per record, with a $25 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?
Truck insurance agencies, fuel-card and factoring companies, ELD and dispatch software, equipment dealers and freight brokers.
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.