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

868,751 rows where Dwelling Type = "H"

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Suggested facets: Lodgement Date (date)

These facets timed out: Bedrooms

Dwelling Type 1

  • H · 868,751 ✖
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
6 6 2019-02-14 2827 H 4 300
14 14 2020-07-16 2484 H 3 445
15 15 2022-05-06 2148 H 4 620
17 17 2019-04-08 2162 H 5 925
20 20 2019-11-06 2500 H 4 520
23 23 2023-06-09 2830 H 3 380
24 24 2019-10-28 2439 H 3 363
26 26 2022-08-23 2479 H 4 1300
27 27 2018-08-13 2285 H 3 420
29 29 2017-02-10 2281 H 3 350
31 31 2020-06-29 2040 H 2 730
33 33 2023-05-10 2220 H 3 580
41 41 2022-05-13 2800 H 1 320
44 44 2018-07-18 2153 H 3 610
48 48 2017-08-04 2065 H 3 1050
49 49 2016-02-22 2570 H 4 550
51 51 2020-09-11 2479 H 1 450
54 54 2024-01-24 2535 H 4 850
55 55 2019-03-11 2560 H 2 340
58 58 2017-08-30 2752 H 5 600
62 62 2020-08-14 2760 H 3 410
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
74 74 2023-11-03 2290 H 2 580
76 76 2016-02-18 2206 H 3 520
83 83 2023-05-12 2281 H 4 750
88 88 2018-03-26 2195 H 2 500
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
102 102 2020-09-24 2077 H 4 715
105 105 2022-03-25 2016 H 4 1100
109 109 2020-07-11 2170 H 4 700
114 114 2018-05-14 2536 H 5 430
116 116 2017-10-05 2283 H 3 320
121 121 2017-06-07 2800 H 3 390
124 124 2020-08-14 2262 H 3 375
128 128 2019-08-09 2257 H 4 500
129 129 2023-02-02 2259 H 2 450
132 132 2020-02-26 2120 H 2 460
136 136 2016-01-06 2315 H 4 595
139 139 2018-09-14 2148 H 5 450
140 140 2018-01-03 2761 H 3 440
141 141 2023-03-29 2153 H 2 520
143 143 2019-05-31 2179 H 4 740
145 145 2020-12-10 2263 H 2 370
148 148 2018-09-05 2560 H 3 360
151 151 2024-02-07 2483 H 2 500
152 152 2017-01-20 2594 H 3 280
155 155 2019-02-21 2298 H 6 175
162 162 2019-02-23 2147 H 5 450
166 166 2024-07-24 2145 H 5 1100
171 171 2017-12-12 2390 H 4 420
172 172 2018-03-09 2800 H 3 450
173 173 2016-04-12 2340 H 4 480
178 178 2019-09-23 2250 H 4 800
179 179 2022-02-11 2650 H 3 480
180 180 2020-02-11 2640 H 3 450
188 188 2022-09-30 2528 H 3 725
189 189 2024-06-12 2565 H 3 580
191 191 2017-09-01 2264 H 3 385
192 192 2019-01-10 2800 H 4 440
193 193 2017-10-20 2119 H 3 700
194 194 2020-05-28 2760 H 3 310
206 206 2020-02-11 2517 H 4 585
209 209 2020-02-03 2500 H 4 515
211 211 2017-02-15 2482 H 3 595
214 214 2024-05-20 2141 H 1 560
215 215 2019-09-05 2171 H 4 570
216 216 2023-09-29 2705 H 4 500
218 218 2022-09-16 2656 H 3 330
231 231 2022-07-08 2036 H 2 420
232 232 2020-09-24 2500 H 1 210
237 237 2016-09-02 2320 H 4 900
238 238 2019-09-16 2534 H 2 500
239 239 2020-12-24 2291 H 3 620
240 240 2019-05-10 2519 H 3 1960
241 241 2018-10-06 2134 H 2 500
246 246 2019-12-10 2263 H 2 310
258 258 2020-01-23 2483 H 3 700
259 259 2022-06-16 2146 H 7 470
265 265 2017-11-20 2340 H 2 300
267 267 2018-02-12 2035 H 3 700
269 269 2018-08-17 2756 H 3 420
273 273 2020-05-26 2257 H 4 550
276 276 2023-08-18 2518 H 3 575
279 279 2018-07-24 2650 H 3 350
280 280 2023-07-25 2179 H 4 690
282 282 2018-04-06 2761 H 5 595
287 287 2019-07-18 2260 H 1 300

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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]);