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

66 rows where Postcode = 2490

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These facets timed out: Dwelling Type, Bedrooms

Link rowid ▼ Lodgement Date Postcode Dwelling Type Bedrooms Weekly Rent
20761 20761 2019-01-03 2490 H 2 470
36893 36893 2022-03-23 2490 H 4 1500
48688 48688 2018-11-30 2490 H 3 370
61001 61001 2016-02-01 2490 H 4 480
171187 171187 2020-05-26 2490 H 3 375
192636 192636 2023-06-16 2490 H 3 800
317321 317321 2016-10-10 2490 H 5 680
372345 372345 2020-11-03 2490 O 1 350
423209 423209 2018-09-13 2490 H 3 800
449808 449808 2018-01-09 2490 H 5 930
532127 532127 2019-04-01 2490 T 1 310
560713 560713 2016-11-01 2490 H 2 450
624632 624632 2019-09-03 2490 H 3 850
629536 629536 2019-04-08 2490 H 5 740
634466 634466 2023-10-03 2490 F 3 590
664439 664439 2016-03-30 2490 H 3 430
686410 686410 2020-08-24 2490 O 1 350
703156 703156 2016-05-26 2490   5 730
800998 800998 2023-12-12 2490 H 2 600
831778 831778 2017-02-07 2490 H 2 320
847904 847904 2018-09-14 2490 H 3 600
894982 894982 2019-08-20 2490 H 3 550
921898 921898 2017-07-19 2490 H 1 320
965164 965164 2020-08-19 2490 O 1 350
973598 973598 2023-07-03 2490 H 3 770
991951 991951 2016-02-05 2490 H 2 350
1039018 1039018 2024-01-30 2490 H 3 900
1045185 1045185 2022-08-11 2490 H 3 550
1056241 1056241 2018-07-04 2490 H 1 300
1109407 1109407 2023-10-25 2490 H 4 1600
1109871 1109871 2020-01-21 2490 H 4 625
1118891 1118891 2023-09-01 2490 H 3 720
1147411 1147411 2024-02-29 2490 H 4 870
1208334 1208334 2016-08-04 2490 H 5 650
1213776 1213776 2016-01-20 2490   4 350
1343909 1343909 2022-06-22 2490 H 3 650
1368408 1368408 2018-09-14 2490 H 3 550
1369932 1369932 2018-07-27 2490 H 4 750
1449785 1449785 2023-01-19 2490 H 3 580
1462044 1462044 2018-02-06 2490 H 3 350
1478453 1478453 2019-10-08 2490 H 2 425
1487752 1487752 2020-12-15 2490 H 2 500
1563962 1563962 2022-11-04 2490 H 2 675
1583818 1583818 2017-12-19 2490 H 5 850
1604961 1604961 2023-08-18 2490 H 3 600
1613024 1613024 2016-03-03 2490 H 4 310
1619842 1619842 2016-05-05 2490 F 3 295
1626813 1626813 2018-08-08 2490 H 3 500
1643640 1643640 2019-04-11 2490 H 4 750
1712414 1712414 2017-03-30 2490 H 1 320
1807447 1807447 2018-12-12 2490 H 3 495
1823547 1823547 2022-12-15 2490 H 3 750
1825810 1825810 2017-05-10 2490 H 4 750
1829952 1829952 2022-04-06 2490 H 3 550
1861538 1861538 2020-10-01 2490 H 2 500
1938417 1938417 2022-06-10 2490 H 3 850
2012185 2012185 2023-03-30 2490 H 4 900
2013761 2013761 2024-08-01 2490 H 3 880
2096106 2096106 2022-02-21 2490 H 5 950
2116729 2116729 2022-08-22 2490 H 4 780
2117045 2117045 2020-05-18 2490 H 3 475
2134228 2134228 2023-03-09 2490 H 4 910
2139387 2139387 2022-02-14 2490 H 6 900
2159752 2159752 2017-02-25 2490 H 3 480
2203862 2203862 2024-05-24 2490 H 3 850
2249008 2249008 2022-08-11 2490 H 4 795

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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]);