Monthly Rental Prices By Neighborhood

This dataset provides monthly rental price statistics for apartments across urban neighborhoods, including average, median, minimum, and maximum rents by apartment type and location. It enables detailed market trend analysis, investment strategy development, and urban planning by offering granular insights into rental dynamics over time. The dataset is ideal for real estate professionals, investors, and researchers seeking to understand rental market fluctuations.

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

Market trend analysis for urban rental prices

Sample rows

preview · 8 of 200 rows · all 14 columns
rental_idintegerapartment_typestringsample_sizeintegercountrystringneighborhood_namestringcitystringstatestringmonthdateaverage_rentfloatmedian_rentfloatmin_rentfloatmax_rentfloatcurrencystringdata_sourcestring
1studio45USAFinancial DistrictNew YorkNY2023-09-013540.25350032003900USDlisting_platform
21-bedroom38GermanyPrenzlauer BergBerlinBerlin2024-04-011290.5127511001400EURlisting_platform
32-bedroom57USADowntownSan FranciscoCA2023-07-014800470042005300USDlisting_platform
4studio33JapanShibuyaTokyoTokyo2022-11-01122000120000113000132000JPYgovernment_report
51-bedroom49United KingdomChelseaLondonEngland2023-01-012200217518002600GBPlisting_platform
6studio42DenmarkVesterbroCopenhagenHovedstaden2023-10-0195009400900010200DKKlisting_platform
74-bedroom13USAHaight AshburySan FranciscoCA2024-03-016900700065007400USDlisting_platform
81-bedroom29USAUptownChicagoIL2022-12-011725170015001900USDlisting_platform

What the 200 rows show

from the 200-row sample

Other (apartment type) stands out: mean sample_size is 5.8, against 31.9 for the rest.

  • 27median sample_size
  • 3data sources
  • 24currencies
  • 55states
  • 57cities
  • 2,600median average_rent
Mean sample_size by apartment_type200 rows
0204025.5studio51 rows34.21-bed…52 rows37.92-bed…41 rows34.33-bed…22 rows25.64-bed…14 rows5.8other20 rows
sample_size200 rows, in bands of 20
04590668244701060120sample_size →

Median 27, from 0 to 101.

country200 rows · top 10 of 31 values
  1. USA57
  2. Australia16
  3. Spain16
  4. Germany13
  5. Canada10
  6. Japan9
  7. Brazil9
  8. South Africa7
  9. United Kingdom6
  10. Mexico6
14 columns by typefrom the column list below
  • string 7
  • integer 2
  • float 4
  • date 1

Columns

14 columns in three groups
blueprint · 14 columns
columntypedescriptionexample
Text 7 columns
neighborhood_namestringName of the urban neighborhood where the apartment is locatedFinancial District
citystringCity where the neighborhood is locatedNew York
statestringState or region where the city is locatedNY
countrystringCountry where the neighborhood is locatedUSA
apartment_typestringType of apartment (e.g., studio, 1-bedroom, 2-bedroom)6 valuesstudio
currencystringCurrency code for the rental prices (e.g., USD, EUR)USD
data_sourcestringSource of the rental data (e.g., listing platform, government report)3 sources · optionallisting_platform
Numbers 6 columns
rental_idintegerUnique identifier for each rental price recordunique · 1 or more1
average_rentfloatAverage monthly rent price for the apartment type in the neighborhood for the given month0 or more3540.25
median_rentfloatMedian monthly rent price for the apartment type in the neighborhood for the given month0 or more · optional3500
min_rentfloatMinimum monthly rent price observed for the apartment type in the neighborhood for the given month0 or more · optional3200
max_rentfloatMaximum monthly rent price observed for the apartment type in the neighborhood for the given month0 or more · optional3900
sample_sizeintegerNumber of rental listings sampled for this calculation0 or more · optional45
Dates and times 1 column
monthdateMonth and year for which the rental price is recorded (use first day of month)2023-09-01

Use it for

  • median sample …27200 rowsmean sample size by a…25.5stud…34.21-be…37.92-be…34.33-be…

    A real estate dashboard

    Sample_size by apartment_type and a breakdown of country. Excel, Power BI or Tableau.

  • Why do the 20 other rows have a mean sample_size of 5.8?

    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 rows with neighborhood_name, city and state to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 14 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 rows14 columns
Yours1,000 rows14 columnscity: UK only

blueprint · monthly-rental-prices-by-neighborhood

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 14 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
  • Each entry includes neighborhood geocode.
  • Rental prices are recorded per unit.
  • Building type and amenities listed.
  • Missing prices flagged as unavailable.
  • Historical data for 60 months minimum.
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
monthly-rental-prices-by-neighborhood

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