- ranks
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- top ten countries
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- ranks
- market
- top ten countries
1970 - reset ending: 01. Jan, 01. Jan, 01. Jan, 02. Oct, 01. Sep, 01. Aug, 01. Jul, 31. May, 29. Apr, 28. Mar,
25. Feb, 24. Jan, 23. Dec, 21. Nov, 20. Oct, 18. Sep, 17. Aug, 15. Jul, 14. Jun, 13. May,
12. Apr, 12. Mar, 09. Feb, 09. Jan, 09. Dec, 08. Nov, 08. Oct, 07. Sep, 07. Aug, 07. Jul,
06. Jun, 06. May, 05. Apr, 05. Mar, 02. Feb, 02. Jan, 02. Dec, 01. Nov, 31. Aug, 31. Jul,
30. Jun, 29. May, 27. Apr, 26. Mar, 22. Feb, 21. Jan, 20. Dec, 18. Nov, 17. Oct, 15. Sep,
14. Aug, 13. Jul, 12. Jun, 12. May, 11. Apr, 11. Mar, 09. Feb, 09. Jan, 09. Dec, 08. Nov,
08. Oct, 07. Sep, 07. Aug, 07. Jul, 06. Jun, 06. May, 05. Apr, 05. Mar, 02. Feb, 02. Jan,
02. Dec, 01. Nov, 01. Oct, 31. Aug, 31. Jul, 30. Jun, 29. May, 27. Apr, 26. Mar, 22. Feb,
21. Jan, 20. Dec, 18. Nov, 17. Oct, 15. Sep, 14. Aug, 13. Jul, 12. Jun, 12. May, 11. Apr,
11. Mar, 08. Feb, 08. Jan, 08. Dec, 07. Nov, 07. Oct, 06. Sep, 06. Aug, 06. Jul, 05. Jun,
05. May, 04. Apr, 04. Mar, 02. Feb, 02. Jan, 02. Dec, 01. Nov, 01. Oct, 31. Aug, 31. Jul,
30. Jun, 29. May, 27. Apr, 26. Mar, 22. Feb, 21. Jan, 20. Dec, 18. Nov, 17. Oct, 15. Sep,
14. Aug, 13. Jul, 12. Jun, 12. May, 11. Apr, 11. Mar, 08. Feb, 08. Jan, 08. Dec, 07. Nov,
07. Oct, 06. Sep, 06. Aug, 06. Jul, 05. Jun, 05. May, 04. Apr, 04. Mar, 01. Feb, 01. Jan,
01. Dec, 31. Oct, 29. Sep, 28. Aug, 27. Jul, 25. Jun, 24. May, 22. Apr, 21. Mar, 18. Feb,
17. Jan, 16. Dec, 14. Nov, 13. Oct, 12. Sep, 12. Aug, 12. Jul, 11. Jun, 11. May, 10. Apr,
10. Mar, 07. Feb, 07. Jan, 07. Dec, 06. Nov, 06. Oct, 05. Sep, 05. Aug, 04. Jul, 03. Jun,
03. May, 02. Apr, 02. Mar, 30. Jan
All columns are sortable by clicking the column headers
All columns are searchable using the search above each column. Useful operators are listed in the table below.
| Operator | Description | Type | Example |
|---|---|---|---|
| < | Values lower than search term are matched | number | <2000 |
| <= | Values lower than or equal to search term are matched | number | <=2000 |
| > | Values greater than search term are matched | number | >2000 |
| >= | Values greater than or equal to search term are matched | number | >=2000 |
| = | Exact match search: only the whole search term(s) is matched | string / number | =LaF |
| * | Data containing search term(s) is matched (default operator) | string / number | *La |
| ! | Data that doesn't contain search term(s) is matched | string / number | !LaF |
| { | Data starting with search term is matched | string / number | {L |
| } | Data ending with search term is matched | string / number | }f |
| || | Data containing at least one of the search terms is matched | string / number | LaF || SoF |
| && | Data containing search terms is matched | string / number | >200 && <2000 |
| rank | country | # | land | networth | special | nw/land | ai | tag |
|---|---|---|---|---|---|---|---|---|
| 9 | Back Again | 39 | 15,756 acres | $50,212,625 | HG | 3187 | 0 | FTB |
| 15 | Gym Tan Laundry | 26 | 21,258 acres | $42,809,130 | C | 2014 | 0 | FTB |
| 19 | Pokemon X | 38 | 15,249 acres | $38,502,622 | H | 2525 | 0 | FTB |
| 26 | 069 069 069 069 069 069 069 069 | 3 | 17,911 acres | $28,708,522 | H | 1603 | 0 | FTB |
| 30 | Lets Go Bucs | 85 | 19,123 acres | $26,374,693 | T | 1379 | 0 | FTB |
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