Florida / Economic data / Economic Census / West Little River
West Little River retail, accommodation and food service sales
West Little River CDP, Florida, a CDP in Miami-Dade County. From the 2017 and 2022 Economic Censuses.
BusinessFlare® sales and visitor spending estimate for West Little River, monthly, anchored on these Census figures.
Retail trade, sales 2022$281,339,000
Change on 2017+43.6%
Establishments117
Employees708
Annual payroll$20,057,000
Firms111
Accommodation and food services, sales 2022$24,218,000
Change on 2017n/a
Establishments22
Employees337
Annual payroll$5,319,000
Firms22
West Little River. Sales are the year's sales, shipments or revenue; employees are the count in the pay period including March 12; payroll is the calendar year.
Retail trade, NAICS 44-45
The 2022 NAICS regrouped retail trade below the sector, so only the sector compares across the two censuses. Sales, employees and payroll the Bureau withholds keep its flag; withheld employment shows the Bureau's size range.
| Industry | Sales 2017 | Sales 2022 | Change | Establishments 2017 | Establishments 2022 | Change | Employees 2017 | Employees 2022 | Change | Payroll 2017 | Payroll 2022 | Change |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 44-45 Retail trade | $195,960,000 | $281,339,000 | +43.6% | 117 | 117 | 0.0% | 844 | 708 | -16.1% | $15,661,000 | $20,057,000 | +28.1% |
| 441 Motor vehicle and parts dealers | $36,331,000 | $79,715,000 | not comparable | 29 | 35 | not comparable | 65 | 102 | not comparable | $1,610,000 | $3,966,000 | not comparable |
| 4411 Automobile dealers | $33,820,000 | $66,327,000 | not comparable | 24 | 29 | not comparable | 45 | 58 | not comparable | $1,215,000 | $1,895,000 | not comparable |
| 4413 Automotive parts, accessories, and tire retailers | withheld | $13,388,000 | not comparable | withheld | 6 | not comparable | 0 to 19 (withheld) | 44 | not comparable | withheld | $2,071,000 | not comparable |
| 443 Electronics and appliance stores (2017 only) | $557,000 | n/a | 3 | n/a | 5 | n/a | $119,000 | n/a | ||||
| 4431 Electronics and appliance stores (2017 only) | $557,000 | n/a | 3 | n/a | 5 | n/a | $119,000 | n/a | ||||
| 444 Building material and garden equipment and supplies dealers | $7,092,000 | $11,840,000 | not comparable | 3 | 4 | not comparable | 22 | 19 | not comparable | $951,000 | $1,525,000 | not comparable |
| 4441 Building material and supplies dealers | $7,092,000 | $11,840,000 | not comparable | 3 | 4 | not comparable | 22 | 19 | not comparable | $951,000 | $1,525,000 | not comparable |
| 445 Food and beverage retailers | withheld | $73,959,000 | not comparable | withheld | 25 | not comparable | 250 to 499 (withheld) | 100 to 249 (withheld) | not comparable | withheld | $6,570,000 | not comparable |
| 4451 Grocery and convenience retailers | $55,442,000 | $72,782,000 | not comparable | 19 | 22 | not comparable | 261 | 246 | not comparable | $4,040,000 | $6,418,000 | not comparable |
| 446 Health and personal care stores (2017 only) | withheld | n/a | withheld | n/a | 20 to 99 (withheld) | n/a | withheld | n/a | ||||
| 4461 Health and personal care stores (2017 only) | withheld | n/a | withheld | n/a | 20 to 99 (withheld) | n/a | withheld | n/a | ||||
| 447 Gasoline stations (2017 only) | $28,136,000 | n/a | 14 | n/a | 53 | n/a | $1,146,000 | n/a | ||||
| 4471 Gasoline stations (2017 only) | $28,136,000 | n/a | 14 | n/a | 53 | n/a | $1,146,000 | n/a | ||||
| 448 Clothing and clothing accessories stores (2017 only) | $27,293,000 | n/a | 29 | n/a | 231 | n/a | $3,359,000 | n/a | ||||
| 4481 Clothing stores (2017 only) | $17,777,000 | n/a | 11 | n/a | 154 | n/a | $1,989,000 | n/a | ||||
| 4482 Shoe stores (2017 only) | $6,554,000 | n/a | 6 | n/a | 55 | n/a | $847,000 | n/a | ||||
| 4483 Jewelry, luggage, and leather goods stores (2017 only) | $2,962,000 | n/a | 12 | n/a | 22 | n/a | $523,000 | n/a | ||||
| 451 Sporting goods, hobby, musical instrument, and book stores (2017 only) | $5,408,000 | n/a | 3 | n/a | 31 | n/a | $459,000 | n/a | ||||
| 4511 Sporting goods, hobby, and musical instrument stores (2017 only) | $5,408,000 | n/a | 3 | n/a | 31 | n/a | $459,000 | n/a | ||||
| 452 General merchandise stores (2017 only) | $13,125,000 | n/a | 7 | n/a | 99 | n/a | $1,363,000 | n/a | ||||
| 4523 General merchandise stores, including warehouse clubs and supercenters (2017 only) | $13,125,000 | n/a | 7 | n/a | 99 | n/a | $1,363,000 | n/a | ||||
| 453 Miscellaneous store retailers (2017 only) | $2,984,000 | n/a | 5 | n/a | 25 | n/a | $745,000 | n/a | ||||
| 455 General merchandise retailers (2022 only) | n/a | $15,809,000 | n/a | 7 | n/a | 86 | n/a | $1,733,000 | ||||
| 4552 Warehouse clubs, supercenters, and other general merchandise retailers (2022 only) | n/a | $15,809,000 | n/a | 7 | n/a | 86 | n/a | $1,733,000 | ||||
| 456 Health and personal care retailers (2022 only) | n/a | $21,621,000 | n/a | withheld | n/a | 45 | n/a | $1,632,000 | ||||
| 4561 Health and personal care retailers (2022 only) | n/a | $21,621,000 | n/a | withheld | n/a | 45 | n/a | $1,632,000 | ||||
| 457 Gasoline stations and fuel dealers (2022 only) | n/a | $44,410,000 | n/a | 11 | n/a | 41 | n/a | $1,003,000 | ||||
| 4571 Gasoline stations (2022 only) | n/a | $44,410,000 | n/a | 11 | n/a | 41 | n/a | $1,003,000 | ||||
| 458 Clothing, clothing accessories, shoe, and jewelry retailers (2022 only) | n/a | $30,029,000 | n/a | 21 | n/a | 142 | n/a | $3,104,000 | ||||
| 4581 Clothing and clothing accessories retailers (2022 only) | n/a | $16,952,000 | n/a | withheld | n/a | 81 | n/a | $1,905,000 | ||||
| 4583 Jewelry, luggage, and leather goods retailers (2022 only) | n/a | withheld | n/a | 11 | n/a | 20 to 99 (withheld) | n/a | withheld | ||||
| 459 Sporting goods, hobby, musical instrument, book and miscellaneous retailers (2022 only) | n/a | withheld | n/a | 7 | n/a | 20 to 99 (withheld) | n/a | withheld | ||||
| 4591 Sporting goods, hobby, and musical instrument retailers (2022 only) | n/a | $835,000 | n/a | 3 | n/a | 6 | n/a | $110,000 |
Accommodation and food services, NAICS 72
Subsectors and industries are defined the same way in both censuses. Sales, employees and payroll the Bureau withholds keep its flag; withheld employment shows the Bureau's size range.
| Industry | Sales 2017 | Sales 2022 | Change | Establishments 2017 | Establishments 2022 | Change | Employees 2017 | Employees 2022 | Change | Payroll 2017 | Payroll 2022 | Change |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 72 Accommodation and food services | withheld | $24,218,000 | n/a | withheld | 22 | n/a | 250 to 499 (withheld) | 337 | n/a | withheld | $5,319,000 | n/a |
| 722 Food services and drinking places | $19,743,000 | withheld | n/a | 17 | withheld | n/a | 277 | 250 to 499 (withheld) | n/a | $4,351,000 | withheld | n/a |
| 7225 Restaurants and other eating places | $19,743,000 | $22,904,000 | +16.0% | 17 | 19 | +11.8% | 277 | 250 to 499 (withheld) | n/a | $4,351,000 | withheld | n/a |
Sources on this page
- US Census Bureau: Economic Census geographic area series, retail trade and accommodation and food services, 2017 and 2022, the geographic area series tables EC1744BASIC EC1772BASIC EC2244BASIC EC2272BASIC, read from the flat file package behind each table. Retrieved 2026-10-01. Published about two and a half years after the census year; the next census covers 2027.
- Validated against the Bureau's API dataset (ECNBASIC2017 and ECNBASIC2022, the files behind the Census Data API) at refresh and on every build: every figure and flag on this page must appear there with the same value or the build fails.
- Withheld figures. D means withheld to avoid disclosing data for individual companies, with an employment size range where the Bureau prints one; S means the estimate did not meet publication standards.
- Sources and methods.
Download the data
Economic Census CSV Place index CSV API dataset check CSV
One row per census year, geography and NAICS code with firms, establishments, sales, payroll, employees and the Bureau's flags, for Florida, every county and every place; the place index lists each place with its counties; the check file is the API dataset's copy of every figure.