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

863,654 rows where Bedrooms = 2

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Suggested facets: Lodgement Date (date)

These facets timed out: Dwelling Type

Bedrooms 1

  • 2 · 863,654 ✖
Link rowid ▼ Lodgement Date Postcode Dwelling Type Bedrooms Weekly Rent
1 1 2023-03-11 2150 H 2 700
3 3 2023-12-01 2478 H 2 550
5 5 2017-10-27 2113 T 2 570
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
21 21 2020-09-14 2196 O 2 400
22 22 2023-09-29 2750 T 2 390
28 28 2016-04-21 2099 F 2 540
30 30 2019-04-18 2131 F 2 620
31 31 2020-06-29 2040 H 2 730
38 38 2018-06-04 2020 F 2 750
39 39 2022-09-23 2218 F 2 480
42 42 2016-06-06 2145 T 2 410
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
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
55 55 2019-03-11 2560 H 2 340
57 57 2017-03-14 2127 F 2 580
61 61 2019-11-13 2220 F 2 380
64 64 2020-03-10 2350 H 2 280
68 68 2017-07-07 2031 F 2 500
70 70 2017-09-12 2037 F 2 795
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
78 78 2020-10-29 2587 F 2 240
79 79 2022-11-21 2211 O 2 420
81 81 2023-08-16 2021 F 2 900
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
88 88 2018-03-26 2195 H 2 500
89 89 2024-03-05 2620 F 2 415
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
106 106 2020-06-04 2137   2 450
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
115 115 2016-04-29 2142 F 2 470
117 117 2023-02-28 2204 F 2 830
120 120 2016-05-12 2064 F 2 635
125 125 2020-06-11 2474 F 2 210
129 129 2023-02-02 2259 H 2 450
131 131 2018-03-06 2093 F 2 520
132 132 2020-02-26 2120 H 2 460
137 137 2020-02-07 2170 F 2 355
141 141 2023-03-29 2153 H 2 520
142 142 2017-09-04 2023   2 650
145 145 2020-12-10 2263 H 2 370
147 147 2018-08-16 2090 F 2 600
150 150 2024-05-31 2133 F 2 645
151 151 2024-02-07 2483 H 2 500
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
174 174 2019-10-01 2620 F 2 350
175 175 2020-05-08 2337 F 2 120
181 181 2022-10-14 2323 F 2 310
185 185 2017-04-24 2485 F 2 360
186 186 2018-06-18 2198 F 2 350
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
199 199 2018-11-08 2046 T 2 670
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
203 203 2017-10-07 2250 F 2 400
204 204 2024-05-31 2217 F 2 650
210 210 2022-08-12 2148 F 2 365
212 212 2020-06-10 2090 F 2 480
221 221 2023-02-15 2093 F 2 695
225 225 2024-03-21 2750 F 2 620
227 227 2018-03-20 2025 F 2 720
228 228 2018-04-09 2193 F 2 625
230 230 2019-10-08 2000 F 2 860
231 231 2022-07-08 2036 H 2 420
234 234 2022-03-03 2026 F 2 695
236 236 2018-02-13 2219 F 2 520
238 238 2019-09-16 2534 H 2 500
241 241 2018-10-06 2134 H 2 500

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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]);