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

79 rows where Bedrooms = 1, Dwelling Type = "H" and Postcode = 2484

✎ View and edit SQL

This data as json, CSV (advanced)

Dwelling Type 1

Bedrooms 1

Link rowid ▼ Lodgement Date Postcode Dwelling Type Bedrooms Weekly Rent
92467 92467 2019-09-23 2484 H 1 250
110189 110189 2017-07-10 2484 H 1 200
132217 132217 2019-10-21 2484 H 1 250
169696 169696 2020-12-04 2484 H 1 350
175784 175784 2024-04-05 2484 H 1 375
181153 181153 2019-05-07 2484 H 1 320
227141 227141 2022-01-17 2484 H 1 340
231200 231200 2020-01-03 2484 H 1 350
239359 239359 2020-01-28 2484 H 1 265
259853 259853 2020-12-11 2484 H 1 220
269464 269464 2017-08-10 2484 H 1 220
311654 311654 2020-07-13 2484 H 1 300
325759 325759 2024-10-25 2484 H 1 350
329716 329716 2018-06-25 2484 H 1 280
329970 329970 2023-05-30 2484 H 1 380
353116 353116 2018-05-03 2484 H 1 260
401822 401822 2023-06-26 2484 H 1 400
416589 416589 2017-06-23 2484 H 1 310
417233 417233 2017-07-07 2484 H 1 335
465289 465289 2017-05-05 2484 H 1 275
581117 581117 2017-05-08 2484 H 1 230
635264 635264 2016-08-01 2484 H 1 190
655400 655400 2020-05-12 2484 H 1 395
705177 705177 2019-06-12 2484 H 1 280
723988 723988 2024-09-27 2484 H 1 390
748466 748466 2023-02-27 2484 H 1 285
790368 790368 2018-11-08 2484 H 1 200
828564 828564 2024-05-07 2484 H 1 530
857207 857207 2016-10-10 2484 H 1 190
895047 895047 2019-02-15 2484 H 1 280
930690 930690 2024-09-16 2484 H 1 450
949934 949934 2018-04-16 2484 H 1 300
997789 997789 2017-01-16 2484 H 1 270
1027502 1027502 2018-10-15 2484 H 1 210
1029997 1029997 2018-01-03 2484 H 1 250
1042176 1042176 2023-11-20 2484 H 1 320
1116210 1116210 2024-02-02 2484 H 1 330
1194648 1194648 2020-04-24 2484 H 1 280
1208595 1208595 2020-01-15 2484 H 1 320
1231842 1231842 2018-05-16 2484 H 1 320
1342708 1342708 2024-07-19 2484 H 1 350
1380291 1380291 2016-07-25 2484 H 1 300
1403173 1403173 2019-10-10 2484 H 1 350
1440576 1440576 2016-09-01 2484 H 1 280
1455132 1455132 2016-05-11 2484 H 1 250
1488202 1488202 2023-08-13 2484 H 1 400
1527616 1527616 2017-11-07 2484 H 1 300
1592754 1592754 2016-03-22 2484 H 1 220
1602839 1602839 2023-03-27 2484 H 1 380
1621119 1621119 2016-11-28 2484 H 1 200
1627215 1627215 2016-05-06 2484 H 1 220
1669088 1669088 2022-07-14 2484 H 1 300
1693305 1693305 2018-09-25 2484 H 1 280
1768701 1768701 2016-05-06 2484 H 1 250
1794515 1794515 2016-11-07 2484 H 1 350
1795713 1795713 2024-02-05 2484 H 1 450
1815327 1815327 2017-03-03 2484 H 1 320
1816062 1816062 2024-10-22 2484 H 1 450
1840880 1840880 2020-07-03 2484 H 1 230
1860594 1860594 2017-05-05 2484 H 1 350
1890693 1890693 2018-08-03 2484 H 1 325
1892462 1892462 2024-07-05 2484 H 1 350
1893255 1893255 2024-04-15 2484 H 1 420
1908184 1908184 2019-06-11 2484 H 1 290
1922995 1922995 2022-03-29 2484 H 1 380
1935835 1935835 2018-08-24 2484 H 1 340
1948102 1948102 2018-12-14 2484 H 1 270
1948124 1948124 2018-04-24 2484 H 1 250
1949744 1949744 2023-05-29 2484 H 1 350
1975382 1975382 2024-09-19 2484 H 1 480
2020583 2020583 2019-07-22 2484 H 1 330
2022374 2022374 2022-07-07 2484 H 1 400
2031747 2031747 2022-05-03 2484 H 1 350
2074261 2074261 2024-06-07 2484 H 1 295
2082787 2082787 2019-04-01 2484 H 1 165
2139912 2139912 2019-01-21 2484 H 1 380
2140963 2140963 2019-02-27 2484 H 1 310
2172024 2172024 2022-02-22 2484 H 1 380
2235079 2235079 2020-07-14 2484 H 1 325

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]);