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

72 rows where Bedrooms = 2 and Postcode = 2406

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These facets timed out: Dwelling Type, Bedrooms

Link rowid ▼ Lodgement Date Postcode Dwelling Type Bedrooms Weekly Rent
23256 23256 2017-07-27 2406 H 2 170
48611 48611 2022-01-13 2406 F 2 150
86242 86242 2016-04-19 2406 H 2 160
87833 87833 2019-04-12 2406 H 2 160
131858 131858 2016-09-26 2406 H 2 160
154352 154352 2023-06-07 2406 F 2 200
184422 184422 2017-05-11 2406 H 2 170
238563 238563 2020-09-11 2406 H 2 200
298193 298193 2017-02-24 2406   2 165
350447 350447 2019-04-26 2406 H 2 140
358489 358489 2019-01-11 2406 H 2 170
383337 383337 2024-09-13 2406 H 2 295
405380 405380 2016-11-30 2406 H 2 135
408213 408213 2020-03-13 2406 F 2 155
411743 411743 2016-10-31 2406 H 2 170
460697 460697 2020-01-29 2406 F 2 160
463940 463940 2023-01-16 2406 H 2 205
465212 465212 2016-03-09 2406   2 155
465770 465770 2020-10-22 2406 H 2 180
488197 488197 2020-08-11 2406 F 2 160
504755 504755 2020-04-28 2406 F 2 155
507623 507623 2022-02-11 2406 H 2 180
517993 517993 2016-01-25 2406 H 2 150
587460 587460 2020-05-19 2406 H 2 165
629606 629606 2024-08-23 2406 H 2 240
804507 804507 2022-08-17 2406 F 2 195
804961 804961 2016-02-15 2406 H 2 250
807656 807656 2020-01-21 2406 F 2 160
811160 811160 2019-04-27 2406 F 2 155
816929 816929 2020-11-27 2406 H 2 180
821488 821488 2024-08-22 2406 H 2 160
860154 860154 2020-06-05 2406 H 2 140
884219 884219 2016-05-24 2406 H 2 130
897362 897362 2024-10-03 2406 F 2 203
918301 918301 2018-02-27 2406 H 2 165
968036 968036 2024-04-18 2406 H 2 225
1017380 1017380 2020-02-10 2406 H 2 170
1032284 1032284 2016-05-10 2406 H 2 135
1049614 1049614 2019-05-24 2406 H 2 190
1087361 1087361 2024-01-09 2406 F 2 190
1087618 1087618 2022-10-05 2406 H 2 200
1105100 1105100 2024-07-02 2406 H 2 240
1133484 1133484 2016-10-31 2406 H 2 160
1139523 1139523 2019-04-01 2406 F 2 160
1147441 1147441 2017-12-04 2406 H 2 170
1253965 1253965 2023-12-07 2406 F 2 205
1260116 1260116 2023-09-04 2406 H 2 220
1348975 1348975 2022-08-08 2406 H 2 190
1537290 1537290 2016-01-12 2406 H 2 130
1544745 1544745 2019-09-25 2406 H 2 195
1561809 1561809 2018-01-12 2406 H 2 170
1613207 1613207 2016-04-06 2406 H 2 170
1666807 1666807 2016-05-10 2406 H 2 170
1681869 1681869 2017-02-06 2406 H 2 140
1689946 1689946 2017-10-26 2406 H 2 135
1725124 1725124 2024-09-20 2406 F 2 205
1789350 1789350 2024-09-26 2406 H 2 240
1829060 1829060 2020-07-20 2406 H 2 185
1856675 1856675 2017-05-24 2406 H 2 170
1872316 1872316 2022-10-05 2406 F 2 185
2017308 2017308 2022-05-09 2406 H 2 180
2030199 2030199 2022-11-15 2406 H 2 250
2059580 2059580 2017-07-05 2406 H 2 170
2061856 2061856 2020-07-10 2406 F 2 155
2063819 2063819 2023-03-16 2406 H 2 220
2116093 2116093 2019-03-04 2406 H 2 180
2138070 2138070 2017-02-24 2406 H 2 170
2154980 2154980 2024-10-10 2406 F 2 200
2161798 2161798 2019-02-27 2406 F 2 160
2185383 2185383 2017-06-07 2406 H 2 157
2215776 2215776 2017-04-27 2406 H 2 135
2266941 2266941 2020-10-13 2406 H 2 180

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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]);