Name | n3_chennan_atm_location_locations_santanderbank_com |
---|---|
Data | 5.55M (+ 0B) |
Tables | 6 (+ 0) |
Columns | 37 (+ 0) |
Table Rows | 27,338 (+ 0) |
Media | 0B (+ 0B) |
Files | 0 (+ 0) |
Last Commit | 2023-06-19 18:36:38 (+ 169 d) |
This is a database of ATMs locations having 2,372 records over 749 cities of 9 states in the United States. Each record is comprised of title, street address, city, state, postal code, telephone, branch number, latitude, longitude, ATM hours and ATM detail. There are product and service with 15 records. The whole US ATMs locations data set has 6 tables.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
atm_location | 2,372 | title |
100%
|
street_address |
100%
|
||
city |
100%
|
||
state |
100%
|
||
postal_code |
100%
|
||
telephone |
35.92%
|
||
branch_no |
55.65%
|
||
latitude |
59.82%
|
||
longitude |
59.82%
|
||
atm_hours |
26.14%
|
||
atm_detail |
59.82%
|
||
atm_location_x_product_and_service | 21,138 | atm_location_id |
100%
|
product_and_service_id |
100%
|
||
city | 749 | title |
100%
|
state_id |
100%
|
||
state |
100%
|
||
city_x_atm_location | 3,055 | city_id |
100%
|
atm_location_id |
100%
|
||
product_and_service | 15 | value |
100%
|
state | 9 | title |
100%
|
No media sets.
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 5.55M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 27,338 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2023-01-01 (+ 95 d) | 5.55M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 27,338 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2022-09-27 (+ 271 d) | 5.55M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 27,338 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-12-30 (+ 115 d) | 5.55M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 27,338 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-09-05 (+ 150 d) | 5.55M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 27,338 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-04-08 (+ 68 d) | 5.55M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 27,338 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-01-29 (+ 120 d) | 5.55M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 27,338 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-10-01 (+ 38 d) | 5.55M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 27,338 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-08-23 (+ 141 d) | 5.55M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 27,338 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-04-04 (+ 196 d) | 5.55M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 27,338 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-09-21 (+ 197 d) | 5.55M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 27,338 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-03-07 (+ 43 d) | 5.55M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 27,338 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-01-23 (+ 44 d) | 5.55M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 27,338 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-12-09 (+ 29 d) | 5.55M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 27,338 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-11-09 (+ 27 d) | 5.55M (+ 96K) | 6 (+ 0) | 37 (+ 0) | 27,338 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-10-13 (+ 29 d) | 5.45M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 27,338 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-09-13 (+ 34 d) | 5.45M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 27,338 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-08-09 (+ 27 d) | 5.45M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 27,338 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-07-12 (+ 31 d) | 5.45M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 27,338 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-06-10 (+ 31 d) | 5.45M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 27,338 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-05-10 (+ 28 d) | 5.45M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 27,338 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-04-11 | 5.45M | 6 | 37 | 27,338 | 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.