Rental Demand Trend Analysis

This dataset provides granular historical occupancy and rental inquiry data for individual units within properties, enabling real estate managers to forecast rental demand, optimize pricing, and identify market trends. It includes property and unit identifiers, location details, occupancy rates, inquiry volumes, and pricing information, making it ideal for predictive analytics and operational decision-making.

  • last updated 20 Aug 2025
  • by GoMask
The brief that made it

Rental demand forecasting for property managers

Sample rows

preview · 8 of 200 rows · all 16 columns
property_idstringunit_typestringlisting_pricefloatis_occupiedbooleanaddress_citystringproperty_namestringaddress_streetstringaddress_statestringaddress_postal_codestringaddress_countrystringunit_idstringoccupancy_datedateoccupancy_ratefloatinquiry_datedateinquiry_countintegermanager_idstring
PROP001studio2800trueNew YorkMidtown Heights123 Madison AveNY10016USAUNIT001A2024-04-1298.22024-04-116MGR001
PROP0022-bedroom2500trueTorontoLakeview Residences45 Lakeshore BlvdONM5V2V8CanadaUNIT002B2024-05-02902024-05-013MGR002
PROP003studio3200trueSan FranciscoBayview Lofts789 Bay StCA94109USAUNIT003C2024-03-2899.52024-03-277MGR003
PROP0041-bedroom1600trueChicagoRiverfront Towers300 River RdIL60654USAUNIT004D2024-06-05852024-06-0412MGR004
PROP005studio2200trueMiamiSunset Place55 Ocean DrFL33139USAUNIT005E2024-02-1497.82024-02-135MGR005
PROP0062-bedroom0falseVancouverUrban Oasis48 George StBCV6B2Y7CanadaUNIT006F2024-04-2302024-04-220MGR006
PROP007studio3100trueBostonHarbor View101 Harbor RdMA02128USAUNIT007G2024-05-1995.62024-05-188MGR007
PROP0081-bedroom1700trueNew YorkCentral Park West200 W 67th StNY10023USAUNIT008H2024-02-0392.12024-02-029MGR008

What the 200 rows show

from the 200-row sample

3-bedroom (unit type) stands out: mean listing_price is 7,708, against 2,002 for the rest.

  • 68%is_occupied = true
  • 2,178median listing_price
  • 7address countries
  • 27address states
  • 84.6median occupancy_rate
  • 5median inquiry_count
Mean listing_price by unit_type200 rows
04,0008,0002,320studio62 rows1,4611-bedr…33 rows2,5552-bedr…58 rows7,7083-bedr…23 rows587.5other24 rows
listing_price200 rows, in bands of 1,000
035702262672612361105,0009,000listing_price →

Median 2,178, from 0.0 to 9,000.

address_city200 rows · top 10 of 28 values
  1. New York20
  2. San Francisco18
  3. Boston18
  4. Miami14
  5. Paris14
  6. Toronto12
  7. London12
  8. Chicago11
  9. Madrid11
  10. Vancouver10
16 columns by typefrom the column list below
  • string 10
  • integer 1
  • float 2
  • date 2
  • boolean 1

Columns

16 columns in four groups
blueprint · 16 columns
columntypedescriptionexample
Text 10 columns
property_idstringUnique identifier for each rental propertyuniquePROP001
property_namestringName or title of the rental propertyMidtown Heights
address_streetstringStreet address of the property123 Madison Ave
address_citystringCity where the property is locatedNew York
address_statestringState or region of the propertyNY
address_postal_codestringPostal or ZIP code of the property10016
address_countrystringCountry where the property is located7 countriesUSA
unit_idstringUnique identifier for each rental unit within a propertyuniqueUNIT001A
unit_typestringType of rental unit (e.g., studio, 1-bedroom, 2-bedroom)studio · 1-bedroom · 2-bedroom · 3-bedroom · otherstudio
manager_idstringUnique identifier for the property manager responsible for the unitoptionalMGR001
Numbers 3 columns
occupancy_ratefloatPercentage of time the unit was occupied during the period (0-100)0 to 100 · optional98.2
inquiry_countintegerNumber of rental inquiries received for the unit on the inquiry date0 or more6
listing_pricefloatCurrent listing price for the rental unit0 or more · optional2800
Dates and times 2 columns
occupancy_datedateDate for which occupancy data is recorded2024-04-12
inquiry_datedateDate when a rental inquiry was received2024-04-11
True or false 1 column
is_occupiedbooleanIndicates if the unit was occupied on the given datetrue

Use it for

  • is occupied68%136 of 200 rowsmean listing price by…2.3kstud…1.5k1-be…2.6k2-be…7.7k3-be…

    A real estate dashboard

    The is_occupied rate, listing_price by unit_type and a breakdown of address_city. Excel, Power BI or Tableau.

  • Why do the 23 3-bedroom rows have a mean listing_price of 7,708?

    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 properties with property_name, address_street and address_city to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 16 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 rows16 columns
Yours1,000 rows16 columnsaddress_street: UK only

blueprint · rental-demand-trend-analysis

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 16 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
  • Record property location and type
  • Track inquiry count and lease start date
  • Flag high-demand periods
  • Exclude commercial rentals
Rows
Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
rental-demand-trend-analysis

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