• Other
  • 19 columns
  • 200 rows
  • 8 formats

Business Locations

This dataset provides comprehensive details on commercial business locations, including full address breakdown, GPS coordinates, business hours, contact information, and location type classifications. It is ideal for mapping, local search, market analysis, and operational planning, enabling users to identify, analyze, and visualize business presence and accessibility across regions.

  • last updated 29 Oct 2025
  • by GoMask
The brief that made it

Local search and mapping applications

Sample rows

preview · 8 of 200 rows · all 19 columns
business_idstringlocation_typestringis_activebooleanbusiness_hours_weekday_openstringbusiness_namestringaddress_streetstringaddress_citystringaddress_statestringaddress_postal_codestringaddress_countrystringlatitudefloatlongitudefloatbusiness_hours_weekday_closestringbusiness_hours_weekend_openstringbusiness_hours_weekend_closestringcontact_phonestringcontact_emailstringcontact_websitestringlast_updateddatetime
retail-chicago-001retailtrue09:00FreshMart Downtown1200 N Clark StChicagoIL60610US41.9045-87.631221:0010:0020:00+1-312-555-0192info@freshmart.comhttps://www.freshmart.com2024-06-04T17:42:05Z
retail-losangeles-002retailtrue10:00Urban Outfitters LA431 S BroadwayLos AngelesCA90013US34.0453-118.250921:0011:0019:00+1-213-555-0412contact@urbanoutfitters.comhttps://www.urbanoutfitters.com2024-06-05T09:14:22Z
retail-dallas-003retailtrue08:30BestBuy NorthPark8687 N Central ExpyDallasTX75225US32.8661-96.768220:3009:3018:30+1-214-555-0178northpark@bestbuy.comhttps://stores.bestbuy.com/dallas2024-06-03T13:11:44Z
retail-auckland-004retailfalse09:00Kiwi Tech Outlet23 Queen StreetAucklandAUK1010NZ-36.8476174.763318:0010:0016:00+64-9-555-0198info@kiwitech.co.nzhttps://www.kiwitech.co.nz2024-05-24T10:28:19Z
retail-johannesburg-005retailtrue08:00Joburg Mall Electronics56 Rivonia RdJohannesburgGP2196ZA-26.100928.053820:0009:0017:00+27-11-555-0129info@joburgmall.co.zahttps://www.joburgmall.co.za2024-06-01T11:22:51Z
retail-toronto-006retailtrue10:00Maple Style Toronto250 Yonge StTorontoONM5B 2L7CA43.6544-79.380719:0011:0017:00+1-416-555-0145toronto@maplestyle.cahttps://www.maplestyle.ca2024-06-05T08:09:16Z
retail-dubai-007retailfalse09:00Desert Electronics100 Sheikh Zayed RdDubaiDU00000AE25.204855.270822:0010:0020:00+971-4-555-0198info@desertelectronics.aehttps://www.desertelectronics.ae2024-05-21T19:14:21Z
retail-buenosaires-008retailtrue09:30Mercado CentralAv. Corrientes 1234Buenos AiresCABAC1043AANAR-34.6037-58.381620:0010:0019:00+54-11-555-0143contact@mercadocentral.com.arhttps://www.mercadocentral.com.ar2024-06-05T14:30:15Z

What the 200 rows show

from the 200-row sample
  • 70%is_active = true
  • 16business hours weekend opens
  • 21business hours weekend closes
  • 27business hours weekday closes
  • 29address countries
location_type200 rows by value
0255039retail20%28office14%26wareh…13%30resta…15%35servi…18%42other21%
business_hours_weekday_open180 rows with a value · 20 left blank
  1. 09:0045
  2. 08:0021
  3. 08:3020
  4. 10:0014
  5. 07:0012
  6. 12:009
  7. 05:008
  8. 06:007
  9. 11:007
  10. 06:306
19 columns by typefrom the column list below
  • string 15
  • float 2
  • datetime 1
  • boolean 1

Columns

19 columns in four groups
blueprint · 19 columns
columntypedescriptionexample
Text 15 columns
business_idstringUnique identifier for the business locationuniqueretail-chicago-001
business_namestringOfficial name of the businessFreshMart Downtown
location_typestringClassification of the business location (e.g., retail, office, warehouse, restaurant)6 valuesretail
address_streetstringStreet address of the business location1200 N Clark St
address_citystringCity where the business is locatedChicago
address_statestringState or province of the business locationIL
address_postal_codestringPostal or ZIP code of the business location60610
address_countrystringCountry where the business is locatedUS
business_hours_weekday_openstringOpening time on weekdays (HH:MM format, local time)optional09:00
business_hours_weekday_closestringClosing time on weekdays (HH:MM format, local time)optional21:00
business_hours_weekend_openstringOpening time on weekends (HH:MM format, local time)optional10:00
business_hours_weekend_closestringClosing time on weekends (HH:MM format, local time)optional20:00
contact_phonestringPrimary phone number for the business locationoptional+1-312-555-0192
contact_emailstringPrimary email address for the business locationoptionalinfo@freshmart.com
contact_websitestringWebsite URL for the business locationoptionalhttps://www.techhub.com
Numbers 2 columns
latitudefloatLatitude coordinate of the business location-90 to 9041.9045
longitudefloatLongitude coordinate of the business location-180 to 180-87.6312
Dates and times 1 column
last_updateddatetimeTimestamp of the last update to this business record2024-06-04T17:42:05Z
True or false 1 column
is_activebooleanIndicates if the business location is currently active/opentrue

Use it for

  • is active70%139 of 200 rowsrows by location type39reta…28offi…26ware…30rest…

    A dashboard

    The is_active rate, is_active by location_type and a breakdown of business_hours_weekday_open. Excel, Power BI or Tableau.

  • Why do 139 of 200 rows have is_active = true?

    A class exercise

    Hand out the rows and one question. Everyone works from the same 200 rows.

  • A software demo

    Believable businesses with business_name, location_type and address_street to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 19 columns, your size and your rules. See 20 rows before you pay.

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This dataset200 rows19 columns
Yours1,000 rows19 columnslocation_type: UK only

blueprint · business-locations

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 19 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Latitude between -90 and 90 degrees
  • Longitude between -180 and 180 degrees
  • Business hours follow timezone of location
  • Location type: office, warehouse, retail, etc
  • Operating status: active, closed, seasonal
Rows
Open the blueprint in Data Factory

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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
business-locations

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