Office Space Utilization Trends

This dataset provides detailed records of office space utilization by department, including occupancy levels, space types, activity patterns, and associated costs across various office locations. Facility managers and workplace strategists can leverage this data to optimize layouts, improve space efficiency, and reduce operational costs through data-driven decisions.

  • opened 5 times
  • last updated 5 Sept 2025
  • by GoMask
The brief that made it

Optimizing office layouts and space allocation

Sample rows

preview · 8 of 200 rows · all 22 columns
record_idstringspace_typestringcost_per_hourfloataddress_streetstringoffice_idstringoffice_namestringaddress_citystringaddress_statestringaddress_postal_codestringaddress_countrystringdepartment_idstringdepartment_namestringspace_idstringspace_namestringdatedatestart_timedatetimeend_timedatetimeoccupancy_countintegerspace_capacityintegerutilization_percentagefloatactivity_typestringnotesstring
R0001workstation120123 Fifth AvenueO100Manhattan HQNew YorkNY10001USAD01FinanceS001Desk Cluster A2024-06-012024-06-01T09:00:002024-06-01T17:00:00121675focused_workRegular finance team workday, space at typical usage.
R0002meeting_room220456 Wacker DriveO101Chicago CampusChicagoIL60601USAD02HRS002Conf Room 12024-06-012024-06-01T10:00:002024-06-01T11:30:0081080meetingHR weekly staff meeting, space cleaned prior to use.
R0003lounge95789 Congress AveO102Austin Tech HubAustinTX78701USAD03ITS003Lounge Area South2024-06-022024-06-02T16:00:002024-06-02T18:00:00182572socialIT department celebration event, catering delivered.
R0004private_office5801 Canary WharfO103London HQLondonENGE14 5ABUKD04ExecutiveS004CEO Suite2024-06-022024-06-02T08:00:002024-06-02T20:00:0011100focused_workExecutive suite in use for strategic planning all day.
R0005private_office42055 George StreetO104Sydney CampusSydneyNSW2000AustraliaD05MarketingS005CMO Office2024-06-032024-06-03T07:30:002024-06-03T19:30:0011100focused_workCMO occupied private office for campaign analysis.
R0006other15123 Fifth AvenueO100Manhattan HQNew YorkNY10001USAD06LegalS006Storage Room B2024-06-012024-06-01T06:00:002024-06-01T10:00:00050otherStorage room checked for quarterly audit, no occupancy.
R0007workstation110456 Wacker DriveO101Chicago CampusChicagoIL60601USAD07Supply ChainS007Desk Zone C2024-06-022024-06-02T09:00:002024-06-02T17:00:0091275focused_workSupply chain analysts working on forecasts.
R0008workstation140789 Congress AveO102Austin Tech HubAustinTX78701USAD08EngineeringS008Open Area B2024-06-012024-06-01T08:30:002024-06-01T16:30:00202580focused_workEngineering team on product sprint, full attendance.

What the 200 rows show

from the 200-row sample

Private_office (space type) stands out: mean cost_per_hour is 493.6, against 151.5 for the rest.

  • 140.0median cost_per_hour
  • 3address countries
  • 5activity types
  • 7address cities
  • 7address states
  • 15department names
Mean cost_per_hour by space_type200 rows
0400800131.0works…55 rows257.3meeti…40 rows86.9lounge21 rows217.0colla…28 rows493.6priva…25 rows35.8other31 rows
cost_per_hour200 rows, in bands of 100
03570615647816120300600cost_per_hour →

Median 140.0, from 10.0 to 600.0.

address_street200 rows · top 10 of 28 values
  1. 88 George St19
  2. 123 Fifth Avenue10
  3. 456 Wacker Drive10
  4. 789 Congress Ave10
  5. 1 Canary Wharf10
  6. 55 George Street10
  7. 2010 South Congress Ave10
  8. 19 Bishopsgate10
  9. 500 Terry Ave N10
  10. 550 W Adams St10
22 columns by typefrom the column list below
  • string 15
  • integer 2
  • float 2
  • date 1
  • datetime 2

Columns

22 columns in three groups
blueprint · 22 columns
columntypedescriptionexample
Text 15 columns
record_idstringUnique identifier for each space utilization recorduniqueR0001
office_idstringUnique identifier for the office locationO100
office_namestringName of the office or buildingManhattan HQ
address_streetstringStreet address of the office123 Fifth Avenue
address_citystringCity where the office is located7 citiesNew York
address_statestringState or region of the office location7 statesNY
address_postal_codestringPostal code for the office location10001
address_countrystringCountry where the office is located3 countriesUSA
department_idstringUnique identifier for the departmentD01
department_namestringName of the department using the spaceFinance
space_typestringType of space being used (e.g., workstation, meeting room, lounge, collaboration area)6 valuesworkstation
space_idstringUnique identifier for the specific space within the officeS001
space_namestringName or label of the space (e.g., Room 101, Open Area A)optionalDesk Cluster A
activity_typestringType of activity conducted in the space (e.g., meeting, focused work, training, social)meeting · focused_work · training · social · other · optionalfocused_work
notesstringAdditional notes or observations about the space usageoptionalRegular finance team work…
Numbers 4 columns
occupancy_countintegerNumber of people present in the space during the recorded period0 or more12
space_capacityintegerMaximum capacity of the space1 or more16
utilization_percentagefloatPercentage of space capacity utilized during the period0 to 10075
cost_per_hourfloatEstimated cost per hour for using the space0 or more · optional120
Dates and times 3 columns
datedateDate for which space utilization is recorded2024-06-01
start_timedatetimeStart time of the recorded usage period2024-06-01T09:00:00
end_timedatetimeEnd time of the recorded usage period2024-06-01T17:00:00

Use it for

  • median cost pe…140.0200 rowsmean cost per hour by…131.0work…257.3meet…86.9loun…217.0coll…

    A real estate dashboard

    Cost_per_hour by space_type and a breakdown of address_street. Excel, Power BI or Tableau.

  • Why do the 25 private_office rows have a mean cost_per_hour of 493.6?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable records with office_id, office_name and address_street to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 22 columns, your size and your rules. See 20 rows before you pay.

Preview 20 rows free

1,000 rows: $1.99 · 10,000: $12.99One-time. No subscription. All prices

This dataset200 rows22 columns
Yours1,000 rows22 columnsaddress_street: UK only

blueprint · office-space-utilization-trends

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 22 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
  • Utilization times logged per area.
  • Department assignment mandatory.
  • Space type categorized.
  • Idle and peak usage flagged.
  • Weekly summary statistics included.
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
office-space-utilization-trends

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