Name | n3zm_IATA_codes_order_by_Code_nationsonline_org |
---|---|
Data | 4.44M (+ 0B) |
Tables | 4 (+ 0) |
Columns | 21 (+ 0) |
Table Rows | 18,493 (+ 0) |
Media | 0B (+ 0B) |
Files | 0 (+ 0) |
Last Commit | 2023-06-19 19:57:45 (+ 169 d) |
This is a IATA 3-letter airport codes database classified by alphabetical order. There are 9,221 IATA codes throughout the world. Each record is comprised of code, city, airport and country. The whole airport IATA 3-letter codes database consists of 4 tables.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
IATA_code | 9,221 | code |
99.97%
|
city |
99.98%
|
||
airport |
99.88%
|
||
country |
99.12%
|
||
category_1 | 1 | title |
100%
|
category_2 | 26 | title |
100%
|
category_1_id |
100%
|
||
category_2_x_IATA_code | 9,245 | category_2_id |
100%
|
IATA_code_id |
100%
|
No media sets.
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 4.44M (+ 0B) | 4 (+ 0) | 21 (+ 0) | 18,493 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2023-01-01 (+ 95 d) | 4.44M (+ 0B) | 4 (+ 0) | 21 (+ 0) | 18,493 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2022-09-27 (+ 271 d) | 4.44M (+ 0B) | 4 (+ 0) | 21 (+ 0) | 18,493 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-12-30 (+ 115 d) | 4.44M (+ 0B) | 4 (+ 0) | 21 (+ 0) | 18,493 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-09-05 (+ 150 d) | 4.44M (+ 0B) | 4 (+ 0) | 21 (+ 0) | 18,493 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-04-08 (+ 68 d) | 4.44M (+ 0B) | 4 (+ 0) | 21 (+ 0) | 18,493 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-01-29 (+ 120 d) | 4.44M (+ 0B) | 4 (+ 0) | 21 (+ 0) | 18,493 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-10-01 (+ 38 d) | 4.44M (+ 0B) | 4 (+ 0) | 21 (+ 0) | 18,493 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-08-23 (+ 141 d) | 4.44M (+ 0B) | 4 (+ 0) | 21 (+ 0) | 18,493 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-04-04 (+ 196 d) | 4.44M (+ 0B) | 4 (+ 0) | 21 (+ 0) | 18,493 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-09-21 (+ 197 d) | 4.44M (+ 0B) | 4 (+ 0) | 21 (+ 0) | 18,493 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-03-07 (+ 43 d) | 4.44M (+ 0B) | 4 (+ 0) | 21 (+ 0) | 18,493 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-01-23 (+ 44 d) | 4.44M (+ 0B) | 4 (+ 0) | 21 (+ 0) | 18,493 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-12-09 (+ 29 d) | 4.44M (+ 0B) | 4 (+ 0) | 21 (+ 0) | 18,493 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-11-09 (+ 27 d) | 4.44M (- 1.14M) | 4 (+ 0) | 21 (+ 0) | 18,493 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-10-13 (+ 30 d) | 5.58M (+ 0B) | 4 (+ 0) | 21 (+ 0) | 18,493 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-09-13 (+ 34 d) | 5.58M (+ 0B) | 4 (+ 0) | 21 (+ 0) | 18,493 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-08-09 (+ 27 d) | 5.58M (+ 0B) | 4 (+ 0) | 21 (+ 0) | 18,493 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-07-12 (+ 31 d) | 5.58M (+ 0B) | 4 (+ 0) | 21 (+ 0) | 18,493 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-06-10 (+ 31 d) | 5.58M (+ 0B) | 4 (+ 0) | 21 (+ 0) | 18,493 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-05-10 (+ 28 d) | 5.58M (+ 0B) | 4 (+ 0) | 21 (+ 0) | 18,493 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-04-11 (+ 38 d) | 5.58M (+ 0B) | 4 (+ 0) | 21 (+ 0) | 18,493 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-03-03 (+ 35 d) | 5.58M (+ 0B) | 4 (+ 0) | 21 (+ 0) | 18,493 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-01-27 (+ 29 d) | 5.58M (+ 0B) | 4 (+ 0) | 21 (+ 0) | 18,493 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2017-12-29 (+ 20 d) | 5.58M (+ 0B) | 4 (+ 0) | 21 (+ 0) | 18,493 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2017-12-08 (+ 9 d) | 5.58M (+ 0B) | 4 (+ 0) | 21 (+ 0) | 18,493 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2017-11-28 | 5.58M | 4 | 21 | 18,493 | 0B | 0 |
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