Name | n3_chennan_area_code_allareacodes_com |
---|---|
Data | 62.80M (+ 0B) |
Tables | 3 (+ 0) |
Columns | 18 (+ 0) |
Table Rows | 340,183 (+ 0) |
Media | 0B (+ 0B) |
Files | 0 (+ 0) |
Last Commit | 2023-06-19 18:36:38 (+ 169 d) |
In the area codes database, there are 355 area codes records and 169,914 phone number prefixes of America. In table area code, there are area code, state, major city and time zone in each. Each record of phone number prefix contains prefix, usage, primary city, carrier and introduced. The whole United States area codes data set consists of 3 tables.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
area_code | 355 | area_code |
100%
|
state |
89.01%
|
||
major_city |
100%
|
||
time_zone |
95.77%
|
||
area_code_x_phone_number_prefix | 169,914 | area_code_id |
100%
|
phone_number_prefix_id |
100%
|
||
phone_number_prefix | 169,914 | prefix |
100%
|
usage |
100%
|
||
primary_city |
99.41%
|
||
carrier |
100%
|
||
introduced |
100%
|
No media sets.
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 62.80M (+ 0B) | 3 (+ 0) | 18 (+ 0) | 340,183 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2023-01-01 (+ 95 d) | 62.80M (+ 0B) | 3 (+ 0) | 18 (+ 0) | 340,183 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2022-09-27 (+ 271 d) | 62.80M (+ 0B) | 3 (+ 0) | 18 (+ 0) | 340,183 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-12-30 (+ 115 d) | 62.80M (+ 0B) | 3 (+ 0) | 18 (+ 0) | 340,183 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-09-05 (+ 150 d) | 62.80M (+ 0B) | 3 (+ 0) | 18 (+ 0) | 340,183 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-04-08 (+ 68 d) | 62.80M (+ 0B) | 3 (+ 0) | 18 (+ 0) | 340,183 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-01-29 (+ 120 d) | 62.80M (+ 0B) | 3 (+ 0) | 18 (+ 0) | 340,183 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-10-01 (+ 38 d) | 62.80M (+ 0B) | 3 (+ 0) | 18 (+ 0) | 340,183 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-08-23 (+ 141 d) | 62.80M (+ 0B) | 3 (+ 0) | 18 (+ 0) | 340,183 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-04-04 (+ 196 d) | 62.80M (+ 0B) | 3 (+ 0) | 18 (+ 0) | 340,183 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-09-21 (+ 197 d) | 62.80M (+ 0B) | 3 (+ 0) | 18 (+ 0) | 340,183 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-03-07 (+ 43 d) | 62.80M (+ 0B) | 3 (+ 0) | 18 (+ 0) | 340,183 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-01-23 (+ 44 d) | 62.80M (+ 0B) | 3 (+ 0) | 18 (+ 0) | 340,183 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-12-09 (+ 29 d) | 62.80M (+ 0B) | 3 (+ 0) | 18 (+ 0) | 340,183 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-11-09 (+ 27 d) | 62.80M (- 6.02M) | 3 (+ 0) | 18 (+ 0) | 340,183 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-10-13 (+ 29 d) | 68.81M (+ 5.97M) | 3 (- 2) | 18 (- 10) | 340,183 (+ 33,077) | 0B (+ 0B) | 0 (+ 0) |
2018-09-13 (+ 34 d) | 62.84M (+ 0B) | 5 (+ 0) | 28 (+ 0) | 307,106 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-08-09 (+ 27 d) | 62.84M (+ 0B) | 5 (+ 0) | 28 (+ 0) | 307,106 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-07-12 (+ 31 d) | 62.84M (+ 0B) | 5 (+ 0) | 28 (+ 0) | 307,106 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-06-10 (+ 31 d) | 62.84M (+ 0B) | 5 (+ 0) | 28 (+ 0) | 307,106 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-05-10 (+ 28 d) | 62.84M (+ 0B) | 5 (+ 0) | 28 (+ 0) | 307,106 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-04-11 (+ 38 d) | 62.84M (+ 0B) | 5 (+ 0) | 28 (+ 0) | 307,106 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-03-03 (+ 35 d) | 62.84M (+ 0B) | 5 (+ 0) | 28 (+ 0) | 307,106 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-01-27 (+ 29 d) | 62.84M (+ 0B) | 5 (+ 0) | 28 (+ 0) | 307,106 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2017-12-29 (+ 20 d) | 62.84M (+ 0B) | 5 (+ 0) | 28 (+ 0) | 307,106 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2017-12-08 | 62.84M | 5 | 28 | 307,106 | 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.