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

2,248,008 rows

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Suggested facets: Lodgement Date (date)

These facets timed out: Dwelling Type, Bedrooms

Link rowid ▼ Lodgement Date Postcode Dwelling Type Bedrooms Weekly Rent
1 1 2016-09-07 2141   3 550
2 2 2023-05-01 2230 H 3 610
3 3 2016-12-30 2067 F 1 395
4 4 2017-10-13 2713 H 3 250
5 5 2019-01-29 2756 F 2 305
6 6 2020-06-03 2017 F 3 880
7 7 2017-03-30 2289 H 1 320
8 8 2022-10-08 2010 H 3 1000
9 9 2020-04-20 2017 F 1 500
10 10 2017-04-21 2300 F 2 420
11 11 2017-12-29 2780 T 2 400
12 12 2023-09-06 2064 T 2 850
13 13 2017-11-27 2564 H 3 400
14 14 2019-07-15 2154 F 2 500
15 15 2020-06-07 2026 F 2 795
16 16 2022-01-17 2140 F 2 470
17 17 2019-01-08 2070 F 1 560
18 18 2019-08-31 2761 H 4 450
19 19 2023-05-12 2019 F 2 930
20 20 2024-05-21 2043 H 2 700
21 21 2019-08-02 2250 F 2 325
22 22 2019-08-02 2095 F 2 750
23 23 2023-12-29 2161 T 2 600
24 24 2022-08-26 2220 F 2 570
25 25 2016-11-01 2257 F 2 400
26 26 2022-03-08 2112 F 2 750
27 27 2022-07-05 2140   2 500
28 28 2018-12-14 2650 H 2 260
29 29 2023-09-29 2541 H 1 375
30 30 2020-12-18 2340 H 3 295
31 31 2024-09-26 2226 H 3 1000
32 32 2022-02-10 2050 F 0 235
33 33 2019-12-02 2486 H 4 520
34 34 2016-09-15 2140 F 3 550
35 35 2020-04-15 2223 O 3 660
36 36 2022-02-28 2203 F 2 750
37 37 2023-06-06 2127 F 2 740
38 38 2019-08-29 2147 H 2 350
39 39 2019-07-17 2830 F 4 380
40 40 2020-12-09 2285 H 3 430
41 41 2019-01-17 2750 H 3 650
42 42 2019-10-17 2114 F 1 460
43 43 2024-09-14 2304 H 4 675
44 44 2018-07-16 2008 F 1 610
45 45 2019-12-18 2870 H 3 360
46 46 2022-10-19 2489 T 3 550
47 47 2020-03-09 2074 T 3 740
48 48 2019-02-07 2680 T 3 400
49 49 2022-04-13 2804 H 4 280
50 50 2024-05-31 2094 F 2 1100
51 51 2022-01-11 2217 F 0 320
52 52 2018-03-02 2528 H 3 450
53 53 2016-01-13 2127 F 1 420
54 54 2016-12-16 2487 T 2 400
55 55 2020-06-15 2113 F 1 460
56 56 2017-11-16 2200 T 3 470
57 57 2020-01-16 2220 F 2 400
58 58 2019-05-07 2131 F 2 400
59 59 2016-10-07 2208 H 4 650
60 60 2016-11-02 2218 F 2 420
61 61 2023-08-15 2296 T 3 550
62 62 2023-02-10 2112 F 1 550
63 63 2020-05-28 2017 F 1 450
64 64 2017-12-08 2425 H 4 650
65 65 2017-08-03 2557 H 4 620
66 66 2016-05-09 2156 F 1 310
67 67 2018-02-16 2444 H 3 410
68 68 2017-01-27 2066 F 2 690
69 69 2018-06-01 2540 H 4 490
70 70 2019-09-13 2135 F 2 530
71 71 2022-11-10 2500 F 2 380
72 72 2017-12-04 2258 T 2 370
73 73 2017-11-09 2106 F 2 480
74 74 2017-06-20 2099 F 1 400
75 75 2018-01-12 2161 H 3 440
76 76 2020-11-24 2710 H 2 180
77 77 2017-09-26 2750 F 1 440
78 78 2018-09-25 2640 F 2 220
79 79 2016-04-19 2072 F 1 510
80 80 2016-05-27 2765 H 3 430
81 81 2019-11-25 2017 F 2 780
82 82 2019-06-03 2428 H 4 455
83 83 2020-06-19 2205   3 680
84 84 2017-05-09 2259 O 1 180
85 85 2020-07-28 2285 F 3 355
86 86 2023-03-23 2650 H 4 580
87 87 2022-07-28 2446 H 3 420
88 88 2018-08-01 2540 H 2 380
89 89 2017-05-16 2148 H 3 410
90 90 2023-04-26 2032 H 3 950
91 91 2023-10-18 2528 F 2 350
92 92 2019-11-18 2530 F 2 315
93 93 2019-05-03 2640 H 3 260
94 94 2023-08-18 2025 H 2 1000
95 95 2019-10-25 2565 T 2 400
96 96 2023-05-10 2486 T 3 620
97 97 2018-02-08 2485 O 2 500
98 98 2023-11-24 2560 F 2 480
99 99 2018-08-23 2065 F 2 700
100 100 2024-05-22 2300 F 2 645

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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]);