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Starbucks

Starbucks Locations dataset (August 2026)

40,628 locations across 91 countries and 7,980 cities, with 13 fields per row. Available in CSV and ZIP formats.

Rows
40,628
Fields
13
Countries
91
Collected
Aug 2026
Browse Starbucks locations →

License

Licensed under CC BY 4.0. Requires attribution. License & attribution guide →

Fields

# Column Field
1 store_id Store ID
2 store_name Store Name
3 ownership_type Premium Ownership Type
4 country_code Country Code
5 country Country
6 city City
7 region Region
8 zip_code ZIP Code
9 address Premium Address
10 coordinates Coordinates
11 phone_number Premium Phone Number
12 opening_hours Premium Opening Hours
13 store_number Premium Store Number

Sample rows

The first 5 rows, straight out of the file.

store_id store_name ownership_type Premium country_code country city region zip_code address Premium coordinates phone_number Premium opening_hours Premium store_number Premium
1019138 Target Valparaiso 1286 Licensed Store US United States Valparaiso Indiana 46383 2420 Laporte Ave, Valparaiso [41.46657,-87.03157] +1 219 531 6448 Mo-Su 07:00-20:00 52137-280448
1019088 Christiana Fashion Center Company-Operated US United States Christiana Delaware 19702 3240 Fashion Center Blvd, Newark [39.67139,-75.64897] +1 302 319 1076 Mo-Su 05:00-21:00 48025-261048
1019116 Fred Meyer Gig Harbor 691 Licensed Store US United States Gig Harbor Washington 98335 5502 Point Fosdick, Gig Harbor [47.30691,-122.58096] +1 253 528 3378 Mo-Su 06:00-18:00 51265-245264
1019083 MCO PRE Rental B Level 1 Licensed Store US United States Orlando Florida 32827 1 Jeff Fuqua Blvd, Orlando [28.43049,-81.30741] +1 407 825 8281 Mo-Su 06:00-22:00 28259-250269
1019151 Harris Teeter Fernandina Beach Licensed Store US United States Amelia City Florida 32034 4800 First Coast Hwy., Fernandina Beach [30.59223,-81.45602] +1 904 491 1213 Mo-Su 06:00-18:00 53020-282564

Get the full dataset (Free)

In the free version, coordinates are rounded to two decimal places (1 km precision) and premium fields are not available.

To get over these limits, check out our paid plans.

Use it directly

Only meant for experimentation. Using it directly in production pipeline is strictly prohibited.

Python
import pandas as pd

df = pd.read_csv("https://bizlocationdb.com/locations/starbucks?download=csv")
print(df.head())
DuckDB
SELECT country, count(*) AS n
FROM read_csv('https://bizlocationdb.com/locations/starbucks?download=csv')
GROUP BY 1 ORDER BY n DESC;