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Uniqlo

Uniqlo Locations dataset (June 2026)

1,525 locations across 20 countries and 841 cities, with 13 fields per row. Available in CSV and ZIP formats.

Rows
1,525
Fields
13
Countries
20
Collected
Jun 2026
Browse Uniqlo 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 store_type Premium Store 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 sections Premium Sections

Sample rows

The first 5 rows, straight out of the file.

store_id store_name store_type Premium country_code country city region zip_code address Premium coordinates phone_number Premium opening_hours Premium sections Premium
US:10200036 UNIQLO Ridge Hill Standard Stores US United States Yonkers New York 10710 118 Market Street, Yonkers, NY, 10710 [40.95993,-73.85822] +1 855 486 4756 Mo-Fr 10:00-20:00 ["WOMEN", "MEN", "KIDS", "BABY"]
US:10200037 UNIQLO Hillsdale Standard Stores US United States San Mateo California 94403 286 Hillsdale Mall, San Mateo, CA, 94403 [37.53774,-122.29969] +1 855 486 4756 Mo-Fr 10:00-20:00 ["WOMEN", "MEN", "KIDS", "BABY"]
US:10200113 UNIQLO King of Prussia Standard Stores US United States King of Prussia Pennsylvania 19406 160 N. Gulph Rd, Space #1932, King of Prussia, PA 19406 [40.08932,-75.39292] +1 855 486 4756 ["WOMEN", "MEN", "KIDS"]
US:10200001 UNIQLO SOHO Flagship Stores US United States New York New York 10012 546 Broadway, New York, NY, 10012 [40.72329,-73.99787] +1 855 486 4756 Mo-Fr 11:00-20:00 ["WOMEN", "MEN", "KIDS", "BABY"]
US:10200040 UNIQLO Bay Street Standard Stores US United States Emeryville California 94608 5606 Bay Street, Emeryville, CA, 94608 [37.83363,-122.29330] +1 855 486 4756 Mo-Fr 10:00-20:00 ["WOMEN", "MEN", "KIDS"]

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