home / rentals

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

163,640 rows where Dwelling Type = "T"

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: Lodgement Date (date)

These facets timed out: Bedrooms

Dwelling Type 1

  • T · 163,640 ✖
Link rowid ▼ Lodgement Date Postcode Dwelling Type Bedrooms Weekly Rent
5 5 2017-10-27 2113 T 2 570
7 7 2016-12-23 2152 T 3 550
9 9 2016-11-28 2287 T 3 470
22 22 2023-09-29 2750 T 2 390
32 32 2016-07-01 2280 T 3 370
34 34 2024-07-15 2640 T 3 420
42 42 2016-06-06 2145 T 2 410
45 45 2020-08-14 2049 T 2 550
59 59 2018-07-05 2780 T 3 335
69 69 2016-02-11 2153 T 4 660
73 73 2016-09-19 2017 T 2 730
122 122 2023-10-26 2285 T 5 750
130 130 2024-04-23 2113 T 3 900
138 138 2022-07-01 2148 T 3 480
146 146 2018-05-04 2118 T 3 560
164 164 2018-06-25 2770 T 3 415
169 169 2020-07-06 2015 T 3 1250
198 198 2022-04-27 2530 T 3 530
199 199 2018-11-08 2046 T 2 670
229 229 2024-05-24 2324 T 3 540
235 235 2018-08-06 2298 T 1 205
243 243 2016-03-31 2173 T 3 520
249 249 2022-03-08 2144 T 3 600
274 274 2023-10-31 2300 T 3 750
304 304 2020-02-03 2541 T 2 320
313 313 2023-08-17 2264 T 3 550
316 316 2018-03-02 2160 T 3 520
358 358 2022-03-24 2754 T 3 460
368 368 2023-08-22 2016 T 3 1400
375 375 2019-07-18 2450 T 3 430
390 390 2024-01-29 2800 T 3 375
391 391 2018-02-09 2287 T 4 400
402 402 2018-02-21 2320 T 2 370
422 422 2022-12-08 2790 T 2 340
440 440 2017-01-04 2042 T 3 520
485 485 2019-01-02 2210 T 2 540
488 488 2016-05-10 2260 T 3 650
494 494 2022-11-04 2046 T 3 600
503 503 2020-12-03 2830 T 2 245
520 520 2019-08-30 2767 T 3 450
526 526 2020-08-05 2200 T 3 500
549 549 2023-05-05 2640 T 3 450
550 550 2017-04-05 2150 T 2 480
554 554 2020-04-23 2155 T 3 620
569 569 2016-10-25 2066 T 3 800
572 572 2018-03-02 2486 T 3 430
585 585 2018-03-16 2117 T 4 650
590 590 2019-07-16 2250 T 3 395
613 613 2023-08-16 2229 T 2 650
628 628 2019-08-16 2500 T 3 520
641 641 2023-05-26 2142 T 3 700
663 663 2020-01-24 2287 T 2 410
684 684 2017-05-12 2145 T 3 450
701 701 2024-04-26 2567 T 3 660
727 727 2020-08-07 2050 T 1 350
732 732 2023-03-24 2535 T 3 680
747 747 2022-02-01 2148 T 3 480
752 752 2016-04-08 2043 T 2 780
767 767 2017-08-17 2210 T 2 470
793 793 2020-09-22 2153 T 3 525
795 795 2016-07-27 2064 T 2 620
808 808 2020-09-08 2150 T 2 480
820 820 2019-09-17 2750 T 3 360
830 830 2017-06-09 2261 T 2 300
864 864 2024-06-30 2043 T 3 1200
915 915 2023-05-20 2762 T 4 710
940 940 2017-10-11 2148 T 3 400
988 988 2016-11-01 2036 T 3 850
998 998 2019-07-04 2307 T 3 450
1006 1006 2020-02-03 2450 T 3 360
1008 1008 2019-07-31 2324 T 3 375
1012 1012 2023-03-03 2170 T 2 420
1022 1022 2019-06-21 2500 T 3 435
1024 1024 2018-09-21 2747 T 3 440
1033 1033 2020-06-03 2620 T 2 400
1039 1039 2018-01-31 2289 T 2 340
1041 1041 2018-02-09 2627 T 3 540
1046 1046 2017-10-09 2261 T 3 550
1070 1070 2016-03-08 2749 T 3 400
1075 1075 2017-11-14 2065 T 2 850
1079 1079 2017-04-21 2760 T 3 420
1097 1097 2023-01-31 2228 T 3 700
1115 1115 2018-06-15 2565 T 2 340
1122 1122 2018-09-08 2223 T 2 530
1148 1148 2017-03-20 2066 T 1 560
1162 1162 2020-01-09 2021 T 3 1520
1174 1174 2024-01-29 2481 T 2 850
1176 1176 2020-03-24 2112 T 3 675
1184 1184 2023-06-29 2228 T 2 640
1185 1185 2020-06-18 2330 T 2 273
1194 1194 2019-02-01 2145 T 3 530
1200 1200 2023-10-16 2155 T 1 390
1218 1218 2022-03-04 2089 T 3 1000
1235 1235 2024-03-14 2165 T 3 730
1236 1236 2016-04-01 2040 T 2 590
1245 1245 2022-07-29 2760 T 3 400
1255 1255 2019-07-08 2145 T 3 540
1256 1256 2023-08-17 2211 T 5 950
1257 1257 2024-09-03 2290 T 3 570
1276 1276 2020-04-23 2750 T 2 350

Next page

Advanced export

JSON shape: default, array, newline-delimited

CSV options:

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 788.598ms · Data source: NSW Fair Trading