Name | n3_chennan_baby_name_babynamewizard_com |
---|---|
Data | 6.14M (+ 0B) |
Tables | 3 (+ 0) |
Columns | 13 (+ 0) |
Table Rows | 38,144 (+ 0) |
Media | 0B (+ 0B) |
Files | 0 (+ 0) |
Last Commit | 2023-06-19 18:36:38 (+ 169 d) |
This is a popular baby names database with 18,670 boys and girls names around the world. All these names have 44 categories. The whole world boys and girls names data set has 3 tables.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
baby_name | 18,670 | name |
100%
|
category_1 | 44 | title |
100%
|
category_1_x_baby_name | 19,430 | category_1_id |
100%
|
baby_name_id |
100%
|
No media sets.
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 6.14M (+ 0B) | 3 (+ 0) | 13 (+ 0) | 38,144 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2023-01-01 (+ 95 d) | 6.14M (+ 0B) | 3 (+ 0) | 13 (+ 0) | 38,144 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2022-09-27 (+ 271 d) | 6.14M (+ 0B) | 3 (+ 0) | 13 (+ 0) | 38,144 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-12-30 (+ 115 d) | 6.14M (+ 0B) | 3 (+ 0) | 13 (+ 0) | 38,144 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-09-05 (+ 150 d) | 6.14M (+ 0B) | 3 (+ 0) | 13 (+ 0) | 38,144 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-04-08 (+ 68 d) | 6.14M (+ 0B) | 3 (+ 0) | 13 (+ 0) | 38,144 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-01-29 (+ 120 d) | 6.14M (+ 0B) | 3 (+ 0) | 13 (+ 0) | 38,144 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-10-01 (+ 38 d) | 6.14M (+ 0B) | 3 (+ 0) | 13 (+ 0) | 38,144 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-08-23 (+ 141 d) | 6.14M (+ 0B) | 3 (+ 0) | 13 (+ 0) | 38,144 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-04-04 (+ 196 d) | 6.14M (+ 0B) | 3 (+ 0) | 13 (+ 0) | 38,144 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-09-21 (+ 197 d) | 6.14M (+ 0B) | 3 (+ 0) | 13 (+ 0) | 38,144 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-03-07 (+ 43 d) | 6.14M (+ 0B) | 3 (+ 0) | 13 (+ 0) | 38,144 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-01-23 (+ 44 d) | 6.14M (+ 0B) | 3 (+ 0) | 13 (+ 0) | 38,144 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-12-09 (+ 29 d) | 6.14M (+ 0B) | 3 (+ 0) | 13 (+ 0) | 38,144 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-11-09 (+ 27 d) | 6.14M (- 1.14M) | 3 (+ 0) | 13 (+ 0) | 38,144 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-10-13 (+ 29 d) | 7.28M (+ 0B) | 3 (+ 0) | 13 (+ 0) | 38,144 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-09-13 (+ 34 d) | 7.28M (+ 0B) | 3 (+ 0) | 13 (+ 0) | 38,144 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-08-09 (+ 27 d) | 7.28M (+ 0B) | 3 (+ 0) | 13 (+ 0) | 38,144 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-07-12 (+ 31 d) | 7.28M (+ 0B) | 3 (+ 0) | 13 (+ 0) | 38,144 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-06-10 (+ 31 d) | 7.28M (+ 0B) | 3 (+ 0) | 13 (+ 0) | 38,144 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-05-10 (+ 28 d) | 7.28M (+ 0B) | 3 (+ 0) | 13 (+ 0) | 38,144 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-04-11 | 7.28M | 3 | 13 | 38,144 | 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.