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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

1,124,088 rows where Dwelling Type = "F"

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Suggested facets: Lodgement Date (date)

These facets timed out: Bedrooms

Dwelling Type 1

  • F · 1,124,088 ✖
Link rowid ▼ Lodgement Date Postcode Dwelling Type Bedrooms Weekly Rent
4 4 2022-02-02 2067 F 1 249
8 8 2023-10-06 2096 F 1 510
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
16 16 2020-03-11 2111 F 2 480
18 18 2022-03-03 2017 F 2 990
19 19 2020-05-19 2216 F 2 450
25 25 2022-06-08 2092 F 3 1600
28 28 2016-04-21 2099 F 2 540
30 30 2019-04-18 2131 F 2 620
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
43 43 2018-07-26 2095 F 3 2050
46 46 2016-04-06 2017 F 2 730
47 47 2024-03-26 2116 F 2 520
50 50 2016-03-01 2500 F 2 380
52 52 2023-07-07 2830 F 2 210
53 53 2016-10-14 2144 F 2 400
56 56 2023-03-31 2026 F 1 480
57 57 2017-03-14 2127 F 2 580
60 60 2016-09-02 2350 F 1 145
61 61 2019-11-13 2220 F 2 380
63 63 2024-07-24 2099 F 1 650
68 68 2017-07-07 2031 F 2 500
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
75 75 2019-07-02 2031 F 1 550
77 77 2018-06-22 2011 F 1 525
78 78 2020-10-29 2587 F 2 240
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
84 84 2017-03-17 2121 F 2 630
86 86 2022-03-02 2131 F 2 410
87 87 2019-08-15 2152 F 2 490
89 89 2024-03-05 2620 F 2 415
90 90 2017-12-07 2038 F 1 415
99 99 2022-04-13 2444 F 2 400
100 100 2022-08-19 2049 F 2 600
101 101 2019-05-27 2095 F 2 390
103 103 2016-08-17 2069 F 2 700
104 104 2020-03-10 2141 F 2 330
107 107 2020-05-12 2163 F 2 340
110 110 2020-03-18 2203 F 2 660
111 111 2020-12-13 2154 F 2 500
112 112 2017-09-04 2096 F 2 595
113 113 2017-12-11 2450 F 1 255
115 115 2016-04-29 2142 F 2 470
117 117 2023-02-28 2204 F 2 830
118 118 2023-05-23 2008 F 1 849
119 119 2020-07-16 2000 F 3 800
120 120 2016-05-12 2064 F 2 635
123 123 2018-06-14 2315 F 1 225
125 125 2020-06-11 2474 F 2 210
126 126 2022-09-28 2068 F 1 580
127 127 2024-06-13 2031 F 1 750
131 131 2018-03-06 2093 F 2 520
133 133 2023-11-17 2160 F 1 420
134 134 2022-07-25 2008 F 1 680
137 137 2020-02-07 2170 F 2 355
144 144 2019-07-13 2193 F 3 500
147 147 2018-08-16 2090 F 2 600
149 149 2022-03-18 2118 F 1 450
150 150 2024-05-31 2133 F 2 645
153 153 2018-10-03 2263 F 2 350
154 154 2019-04-18 2250 F 2 500
156 156 2023-03-03 2777 F 2 400
157 157 2022-08-29 2043 F 2 630
158 158 2022-08-10 2069 F 2 460
159 159 2016-02-18 2529 F 2 300
160 160 2017-09-11 2049 F 2 490
161 161 2022-07-11 2067 F 2 980
163 163 2022-03-11 2165 F 2 270
165 165 2024-07-15 2034 F 3 1250
167 167 2020-03-29 2011 F 0 360
168 168 2016-07-04 2230 F 1 395
170 170 2020-03-25 2330 F 1 220
174 174 2019-10-01 2620 F 2 350
175 175 2020-05-08 2337 F 2 120
176 176 2020-05-19 2444 F 1 220
177 177 2023-03-06 2220 F 3 1500
181 181 2022-10-14 2323 F 2 310
183 183 2020-09-17 2117 F 3 470
184 184 2020-09-24 2031 F 3 1100
185 185 2017-04-24 2485 F 2 360
186 186 2018-06-18 2198 F 2 350
187 187 2020-12-17 2067 F 1 450
190 190 2022-07-01 2749 F 2 450
195 195 2018-12-27 2144 F 2 540
196 196 2024-09-10 2037 F 2 1100
197 197 2023-06-30 2046 F 3 850
200 200 2022-02-01 2040 F 2 680
201 201 2022-01-22 2587 F 2 240
202 202 2018-04-18 2647 F 2 250

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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]);
Powered by Datasette · Queries took 986.443ms · Data source: NSW Fair Trading