Name | n3zm_KFC_hours_locations_com |
---|---|
Data | 1.66M (+ 0B) |
Tables | 4 (+ 0) |
Columns | 20 (+ 0) |
Table Rows | 7,416 (+ 0) |
Media | 0B (+ 0B) |
Files | 0 (+ 0) |
Last Commit | 2023-06-19 19:57:45 (+ 169 d) |
This is a Kentucky Fried Chicken database with 2,103 records from 3,161 cities of 49 states in America. Each record is comprised of address. There are 4 tables in the whole United States KFC addresses database.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
KFC | 2,103 | address |
100%
|
city | 3,161 | title |
100%
|
state_id |
100%
|
||
state |
100%
|
||
city_x_KFC | 2,103 | city_id |
100%
|
kfc_id |
100%
|
||
state | 49 | title |
100%
|
No media sets.
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 1.66M (+ 0B) | 4 (+ 0) | 20 (+ 0) | 7,416 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2023-01-01 (+ 95 d) | 1.66M (+ 0B) | 4 (+ 0) | 20 (+ 0) | 7,416 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2022-09-27 (+ 271 d) | 1.66M (+ 0B) | 4 (+ 0) | 20 (+ 0) | 7,416 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-12-30 (+ 115 d) | 1.66M (+ 0B) | 4 (+ 0) | 20 (+ 0) | 7,416 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-09-05 (+ 150 d) | 1.66M (+ 0B) | 4 (+ 0) | 20 (+ 0) | 7,416 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-04-08 (+ 68 d) | 1.66M (+ 0B) | 4 (+ 0) | 20 (+ 0) | 7,416 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-01-29 (+ 120 d) | 1.66M (+ 0B) | 4 (+ 0) | 20 (+ 0) | 7,416 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-10-01 (+ 38 d) | 1.66M (+ 0B) | 4 (+ 0) | 20 (+ 0) | 7,416 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-08-23 (+ 141 d) | 1.66M (+ 0B) | 4 (+ 0) | 20 (+ 0) | 7,416 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-04-04 (+ 196 d) | 1.66M (+ 0B) | 4 (+ 0) | 20 (+ 0) | 7,416 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-09-21 (+ 197 d) | 1.66M (+ 0B) | 4 (+ 0) | 20 (+ 0) | 7,416 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-03-07 (+ 43 d) | 1.66M (+ 0B) | 4 (+ 0) | 20 (+ 0) | 7,416 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-01-23 (+ 44 d) | 1.66M (+ 0B) | 4 (+ 0) | 20 (+ 0) | 7,416 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-12-09 (+ 29 d) | 1.66M (+ 0B) | 4 (+ 0) | 20 (+ 0) | 7,416 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-11-09 (+ 27 d) | 1.66M (+ 64K) | 4 (+ 0) | 20 (+ 0) | 7,416 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-10-13 (+ 30 d) | 1.59M (+ 0B) | 4 (+ 0) | 20 (+ 0) | 7,416 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-09-13 (+ 34 d) | 1.59M (+ 0B) | 4 (+ 0) | 20 (+ 0) | 7,416 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-08-09 (+ 27 d) | 1.59M (+ 0B) | 4 (+ 0) | 20 (+ 0) | 7,416 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-07-12 (+ 31 d) | 1.59M (+ 0B) | 4 (+ 0) | 20 (+ 0) | 7,416 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-06-10 (+ 31 d) | 1.59M (+ 0B) | 4 (+ 0) | 20 (+ 0) | 7,416 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-05-10 | 1.59M | 4 | 20 | 7,416 | 0B | 0 |
Contact us for pricing to download the latest commit / release of this database.
In the same time, you can also access this data set via API.
Select a membership plan and sign up. Return to this page, click Online Query to access the API query maker. Create and open an API call to acquire the data.
The scanning and profiling of data size increments are done separately from those of the number of rows.
Subscribe to be notified of major data releases and updates.
STAY IN THE LOOP.