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

82 rows where Bedrooms = 9 and Dwelling Type = "H"

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Suggested facets: Lodgement Date (date)

Dwelling Type 1

Bedrooms 1

Link rowid ▼ Lodgement Date Postcode Dwelling Type Bedrooms Weekly Rent
26224 26224 2023-08-07 2663 H 9 1170
33874 33874 2020-10-19 2299 H 9 210
40987 40987 2017-11-21 2145 H 9 1000
55186 55186 2020-07-20 2036 H 9 1175
76292 76292 2020-01-08 2220 H 9 1100
79090 79090 2023-01-20 2450 H 9 1900
93085 93085 2016-10-20 2298 H 9 130
98528 98528 2024-02-09 2179 H 9 1500
117196 117196 2023-01-18 2765 H 9 1650
131326 131326 2017-02-14 2122 H 9 1100
136417 136417 2022-03-17 2011 H 9 1700
140934 140934 2022-07-04 2207 H 9 975
149125 149125 2020-03-19 2223 H 9 1200
166970 166970 2022-11-22 2761 H 9 530
194255 194255 2022-07-14 2560 H 9 3000
220364 220364 2019-08-02 2130 H 9 210
224953 224953 2024-09-23 2880 H 9 550
225603 225603 2017-09-01 2540 H 9 900
248755 248755 2020-12-16 2074 H 9 3000
259593 259593 2019-06-12 2710 H 9 300
260535 260535 2024-07-02 2142 H 9 2813
291263 291263 2022-11-17 2134 H 9 2750
294738 294738 2016-12-20 2450 H 9 1500
317536 317536 2024-02-09 2037 H 9 3500
331219 331219 2020-01-22 2211 H 9 1150
428849 428849 2024-06-26 2170 H 9 1500
478427 478427 2020-11-27 2795 H 9 450
557467 557467 2018-11-28 2760 H 9 630
563971 563971 2018-08-08 2032 H 9 1200
623827 623827 2022-04-22 2179 H 9 1000
653728 653728 2024-03-18 2350 H 9 165
660167 660167 2017-09-06 2770 H 9 380
663793 663793 2022-07-29 2037 H 9 1850
686264 686264 2022-10-10 2250 H 9 3465
694966 694966 2016-09-21 2131 H 9 1500
695521 695521 2018-02-23 2170 H 9 1250
711057 711057 2018-04-06 2232 H 9 1000
736753 736753 2023-03-06 2018 H 9 2100
768159 768159 2019-07-10 2328 H 9 700
776435 776435 2024-07-23 2486 H 9 1100
788411 788411 2020-02-11 2473 H 9 900
807632 807632 2024-04-22 2173 H 9 1800
816335 816335 2022-03-16 2021 H 9 5000
823240 823240 2024-06-06 2130 H 9 2400
897658 897658 2020-03-05 2800 H 9 450
979973 979973 2018-10-03 2135 H 9 1750
1119987 1119987 2024-09-24 2680 H 9 1650
1160776 1160776 2017-08-22 2142 H 9 900
1162535 1162535 2017-07-03 2011 H 9 370
1176357 1176357 2020-06-02 2756 H 9 1400
1246857 1246857 2019-10-21 2540 H 9 600
1311152 1311152 2019-02-21 2527 H 9 1050
1363495 1363495 2020-11-05 2032 H 9 120
1371727 1371727 2024-07-26 2747 H 9 1100
1395784 1395784 2023-06-09 2010 H 9 2565
1429037 1429037 2018-10-15 2852 H 9 650
1446163 1446163 2020-03-25 2800 H 9 390
1451071 1451071 2023-02-13 2880 H 9 550
1503021 1503021 2016-03-29 2134 H 9 1600
1546676 1546676 2017-06-21 2142 H 9 1200
1601316 1601316 2022-12-01 2166 H 9 850
1604590 1604590 2023-06-09 2627 H 9 9900
1628706 1628706 2023-09-20 2485 H 9 1000
1647169 1647169 2024-03-01 2074 H 9 1800
1649915 1649915 2022-05-20 2010 H 9 1000
1715592 1715592 2023-11-30 2767 H 9 850
1750599 1750599 2019-02-01 2830 H 9 430
1777219 1777219 2019-05-02 2195 H 9 900
1798580 1798580 2018-12-12 2165 H 9 950
1801786 1801786 2018-05-01 2540 H 9 680
1802518 1802518 2023-12-14 2298 H 9 1650
1844336 1844336 2022-03-10 2380 H 9 1300
1870897 1870897 2019-11-18 2322 H 9 700
1872117 1872117 2023-06-02 2350 H 9 165
1919086 1919086 2020-05-19 2068 H 9 1400
2012331 2012331 2020-10-01 2142 H 9 900
2086937 2086937 2024-03-01 2229 H 9 2200
2090503 2090503 2022-12-09 2350 H 9 130
2099787 2099787 2022-07-15 2350 H 9 130
2123584 2123584 2016-11-11 2540 H 9 1000
2133253 2133253 2020-09-10 2116 H 9 1100
2271167 2271167 2022-08-17 2500 H 9 1500

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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]);