home / rentals

Rental bonds

Housing type:

  • - F: Flat/unit
  • - H: House
  • - T: Terrace/townhouse/semi-detached
  • - O: Other
  • - U Unknown. Dwelling Type of ‘Other’ may include rented rooms, garages and car spaces.

For the `Bedrooms` a 0 may indicate a bedsitter or studio apartment, or rented premises such as a garage or car space.

Data source: NSW Fair Trading

46 rows where Bedrooms = 7 and Dwelling Type = "F"

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: Lodgement Date (date)

Dwelling Type 1

  • F · 46 ✖

Bedrooms 1

  • 7 · 46 ✖
Link rowid ▼ Lodgement Date Postcode Dwelling Type Bedrooms Weekly Rent
62140 62140 2024-08-30 2580 F 7 1000
94183 94183 2016-11-29 2010 F 7 2150
124929 124929 2022-10-07 2195 F 7 320
284361 284361 2016-12-14 2022 F 7 700
305926 305926 2019-09-25 2835 F 7 700
408681 408681 2017-05-29 2023 F 7 450
440765 440765 2017-06-06 2142 F 7 550
535618 535618 2019-10-21 2031 F 7 460
602894 602894 2020-10-15 2032 F 7 750
631584 631584 2022-08-04 2102 F 7 1350
759676 759676 2019-08-14 2300 F 7 370
767368 767368 2017-09-20 2835 F 7 700
836981 836981 2017-06-15 2229 F 7 500
847017 847017 2024-03-25 2032 F 7 3255
886901 886901 2022-12-02 2145 F 7 380
1011050 1011050 2024-03-07 2502 F 7 835
1025951 1025951 2023-08-16 2299 F 7 200
1108256 1108256 2020-02-25 2020 F 7 1500
1115023 1115023 2017-02-21 2216 F 7 850
1140041 1140041 2018-02-26 2299 F 7 160
1148068 1148068 2024-07-31 2222 F 7 400
1181927 1181927 2022-08-03 2099 F 7 1495
1223091 1223091 2019-04-01 2204 F 7 400
1225113 1225113 2024-06-26 2011 F 7 600
1255969 1255969 2018-08-01 2023 F 7 2050
1266250 1266250 2019-01-22 2023 F 7 2050
1267833 1267833 2020-06-05 2560 F 7 430
1304024 1304024 2019-04-02 2027 F 7 650
1439288 1439288 2020-12-23 2705 F 7 715
1454170 1454170 2020-02-24 2871 F 7 115
1486631 1486631 2023-09-19 2323 F 7 287
1507586 1507586 2020-07-03 2480 F 7 700
1545764 1545764 2018-10-03 2165 F 7 300
1669988 1669988 2020-02-11 2150 F 7 440
1695904 1695904 2019-01-24 2835 F 7 700
1730171 1730171 2018-10-22 2122 F 7 730
1764012 1764012 2017-09-04 2594 F 7 250
1781540 1781540 2017-06-02 2150 F 7 440
1795113 1795113 2023-01-24 2210 F 7 850
1834953 1834953 2018-03-13 2089 F 7 580
1881283 1881283 2022-05-30 2065 F 7 1200
1961557 1961557 2023-08-02 2000 F 7 4049
1989664 1989664 2022-06-28 2622 F 7 1100
2201862 2201862 2018-09-28 2010 F 7 1950
2207624 2207624 2024-07-19 2032 F 7 2030
2266849 2266849 2023-05-02 2127 F 7 210

Advanced export

JSON shape: default, array, newline-delimited

CSV options:

CREATE TABLE "rentals" (
   [Lodgement Date] TEXT,
   [Postcode] TEXT,
   [Dwelling Type] TEXT,
   [Bedrooms] INTEGER,
   [Weekly Rent] INTEGER
);
CREATE INDEX [idx_rentals_Bedrooms]
    ON [rentals] ([Bedrooms]);
CREATE INDEX [idx_rentals_Dwelling Type]
    ON [rentals] ([Dwelling Type]);
Powered by Datasette · Queries took 68.624ms · Data source: NSW Fair Trading