Name | n3_chennan_retirement_home_retirementhomes_com |
---|---|
Data | 46.97M (+ 0B) |
Tables | 8 (+ 0) |
Columns | 48 (+ 0) |
Table Rows | 221,410 (+ 0) |
Media | 0B (+ 0B) |
Files | 0 (+ 0) |
Last Commit | 2023-06-19 18:36:38 (+ 169 d) |
In the retirement housing database, there are 21,305 records over 30,620 cities of 616 states in 39 countries around the world. Each retirement home consists of title, address, phone, phone extension, fax number, locality, state, post code and country. Besides, there are 32,777 nearby communities with address in each. It has 180 categories of these retirement homes in this data. The whole world retirement housing data set has 8 tables in total.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
category_1 | 180 | title |
100%
|
country_id |
100%
|
||
country |
100%
|
||
city | 30,620 | title |
100%
|
state_id |
100%
|
||
state |
100%
|
||
city_x_retirement_home | 31,671 | city_id |
100%
|
retirement_home_id |
100%
|
||
country | 39 | title |
100%
|
nearby_community | 32,777 | title |
100%
|
address |
100%
|
||
retirement_home | 21,305 | title |
100%
|
address |
100%
|
||
phone |
99.64%
|
||
phone_extension |
99.76%
|
||
fax_number |
98.99%
|
||
locality |
99.94%
|
||
state |
99.94%
|
||
postal_code |
99.84%
|
||
country |
99.94%
|
||
retirement_home_x_nearby_community | 104,202 | retirement_home_id |
100%
|
nearby_community_id |
100%
|
||
state | 616 | title |
100%
|
category_1_id |
100%
|
||
category_1 |
100%
|
No media sets.
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 46.97M (+ 0B) | 8 (+ 0) | 48 (+ 0) | 221,410 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2023-01-01 (+ 95 d) | 46.97M (+ 0B) | 8 (+ 0) | 48 (+ 0) | 221,410 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2022-09-27 (+ 271 d) | 46.97M (+ 0B) | 8 (+ 0) | 48 (+ 0) | 221,410 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-12-30 (+ 115 d) | 46.97M (+ 0B) | 8 (+ 0) | 48 (+ 0) | 221,410 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-09-05 (+ 150 d) | 46.97M (+ 0B) | 8 (+ 0) | 48 (+ 0) | 221,410 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-04-08 (+ 68 d) | 46.97M (+ 0B) | 8 (+ 0) | 48 (+ 0) | 221,410 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-01-29 (+ 120 d) | 46.97M (+ 0B) | 8 (+ 0) | 48 (+ 0) | 221,410 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-10-01 (+ 38 d) | 46.97M (+ 0B) | 8 (+ 0) | 48 (+ 0) | 221,410 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-08-23 (+ 141 d) | 46.97M (+ 0B) | 8 (+ 0) | 48 (+ 0) | 221,410 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-04-04 (+ 196 d) | 46.97M (+ 0B) | 8 (+ 0) | 48 (+ 0) | 221,410 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-09-21 (+ 197 d) | 46.97M (+ 0B) | 8 (+ 0) | 48 (+ 0) | 221,410 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-03-07 (+ 43 d) | 46.97M (+ 0B) | 8 (+ 0) | 48 (+ 0) | 221,410 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-01-23 (+ 44 d) | 46.97M (+ 0B) | 8 (+ 0) | 48 (+ 0) | 221,410 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-12-09 (+ 29 d) | 46.97M (+ 0B) | 8 (+ 0) | 48 (+ 0) | 221,410 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-11-09 (+ 27 d) | 46.97M (+ 12.38M) | 8 (+ 0) | 48 (+ 0) | 221,410 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-10-13 (+ 29 d) | 34.59M (+ 0B) | 8 (+ 0) | 48 (+ 0) | 221,410 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-09-13 (+ 34 d) | 34.59M (+ 0B) | 8 (+ 0) | 48 (+ 0) | 221,410 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-08-09 (+ 27 d) | 34.59M (+ 0B) | 8 (+ 0) | 48 (+ 0) | 221,410 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-07-12 (+ 31 d) | 34.59M (+ 0B) | 8 (+ 0) | 48 (+ 0) | 221,410 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-06-10 (+ 31 d) | 34.59M (+ 0B) | 8 (+ 0) | 48 (+ 0) | 221,410 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-05-10 (+ 28 d) | 34.59M (+ 0B) | 8 (+ 0) | 48 (+ 0) | 221,410 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-04-11 | 34.59M | 8 | 48 | 221,410 | 0B | 0 |
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