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

2,273,282 rows

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Suggested facets: Lodgement Date (date)

Bedrooms >10

  • 2 863,654
  • 3 618,047
  • 1 428,224
  • 4 280,402
  • 5 48,953
  • 0 25,881
  • 6 6,168
  • 7 1,203
  • 8 266
  • 9 105
  • …

Dwelling Type 5

  • F 1,124,088
  • H 868,751
  • T 163,640
  • O 61,062
  • - 55,741
Link rowid ▼ Lodgement Date Postcode Dwelling Type Bedrooms Weekly Rent
1 1 2023-03-11 2150 H 2 700
2 2 2020-05-29 2305 H 3 380
3 3 2023-12-01 2478 H 2 550
4 4 2022-02-02 2067 F 1 249
5 5 2017-10-27 2113 T 2 570
6 6 2019-02-14 2827 H 4 300
7 7 2016-12-23 2152 T 3 550
8 8 2023-10-06 2096 F 1 510
9 9 2016-11-28 2287 T 3 470
10 10 2022-12-21 2232 F 2 440
11 11 2022-08-22 2029 F 2 650
12 12 2017-06-27 2145 F 2 500
13 13 2016-10-04 2134 F 2 580
14 14 2020-07-16 2484 H 3 445
15 15 2022-05-06 2148 H 4 620
16 16 2020-03-11 2111 F 2 480
17 17 2019-04-08 2162 H 5 925
18 18 2022-03-03 2017 F 2 990
19 19 2020-05-19 2216 F 2 450
20 20 2019-11-06 2500 H 4 520
21 21 2020-09-14 2196 O 2 400
22 22 2023-09-29 2750 T 2 390
23 23 2023-06-09 2830 H 3 380
24 24 2019-10-28 2439 H 3 363
25 25 2022-06-08 2092 F 3 1600
26 26 2022-08-23 2479 H 4 1300
27 27 2018-08-13 2285 H 3 420
28 28 2016-04-21 2099 F 2 540
29 29 2017-02-10 2281 H 3 350
30 30 2019-04-18 2131 F 2 620
31 31 2020-06-29 2040 H 2 730
32 32 2016-07-01 2280 T 3 370
33 33 2023-05-10 2220 H 3 580
34 34 2024-07-15 2640 T 3 420
35 35 2020-10-21 2166 O 1 220
36 36 2018-08-22 2205 F 3 800
37 37 2017-03-02 2043 F 1 600
38 38 2018-06-04 2020 F 2 750
39 39 2022-09-23 2218 F 2 480
40 40 2024-10-23 2007 F 1 800
41 41 2022-05-13 2800 H 1 320
42 42 2016-06-06 2145 T 2 410
43 43 2018-07-26 2095 F 3 2050
44 44 2018-07-18 2153 H 3 610
45 45 2020-08-14 2049 T 2 550
46 46 2016-04-06 2017 F 2 730
47 47 2024-03-26 2116 F 2 520
48 48 2017-08-04 2065 H 3 1050
49 49 2016-02-22 2570 H 4 550
50 50 2016-03-01 2500 F 2 380
51 51 2020-09-11 2479 H 1 450
52 52 2023-07-07 2830 F 2 210
53 53 2016-10-14 2144 F 2 400
54 54 2024-01-24 2535 H 4 850
55 55 2019-03-11 2560 H 2 340
56 56 2023-03-31 2026 F 1 480
57 57 2017-03-14 2127 F 2 580
58 58 2017-08-30 2752 H 5 600
59 59 2018-07-05 2780 T 3 335
60 60 2016-09-02 2350 F 1 145
61 61 2019-11-13 2220 F 2 380
62 62 2020-08-14 2760 H 3 410
63 63 2024-07-24 2099 F 1 650
64 64 2020-03-10 2350 H 2 280
65 65 2023-07-12 2161 H 4 850
66 66 2023-04-28 2580 H 1 315
67 67 2020-06-12 2650 H 3 320
68 68 2017-07-07 2031 F 2 500
69 69 2016-02-11 2153 T 4 660
70 70 2017-09-12 2037 F 2 795
71 71 2022-03-10 2011 F 0 350
72 72 2017-08-24 2460 F 2 185
73 73 2016-09-19 2017 T 2 730
74 74 2023-11-03 2290 H 2 580
75 75 2019-07-02 2031 F 1 550
76 76 2016-02-18 2206 H 3 520
77 77 2018-06-22 2011 F 1 525
78 78 2020-10-29 2587 F 2 240
79 79 2022-11-21 2211 O 2 420
80 80 2019-07-30 2031 F 1 555
81 81 2023-08-16 2021 F 2 900
82 82 2020-02-28 2039 F 3 1400
83 83 2023-05-12 2281 H 4 750
84 84 2017-03-17 2121 F 2 630
85 85 2017-06-20 2850   3 410
86 86 2022-03-02 2131 F 2 410
87 87 2019-08-15 2152 F 2 490
88 88 2018-03-26 2195 H 2 500
89 89 2024-03-05 2620 F 2 415
90 90 2017-12-07 2038 F 1 415
91 91 2022-12-01 2036 H 4 1050
92 92 2019-12-06 2456 H 4 560
93 93 2018-10-19 2794 H 3 260
94 94 2019-05-21 2769 H 5 700
95 95 2019-01-07 2075 H 4 860
96 96 2023-02-16 2285 H 4 600
97 97 2022-07-14 2710 H 3 400
98 98 2024-04-08 2502 H 3 650
99 99 2022-04-13 2444 F 2 400
100 100 2022-08-19 2049 F 2 600

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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]);