All India Rainfall toppers from 1st January 2010 - 9th September 2010

1. Cherrapunji (Meghalaya) - 1218 cm (Annual around 1100)
2. Agumbe (Karnataka) - 598 cm (Annual over 750)
3. Gaganbawada (Maharashtra) - 513 cm (Annual over 600)
4. Mahabaleshwar (Maharashtra) - 419 cm (Annual over 600)
5. Shirali (Karnataka) - 399 cm (Annual over 400)
6. Buxa (West Bengal) - 376 cm (Annual around 550)
7. Coochbehar (West Bengal) - 373 cm (Annual around 350)
8. Passighat (Arunachal Pradesh) - 367 cm (Annual around 450)
9. Silchar (Assam) - 367 cm (Annual around 350)
10. Bhagamandala (Karnataka) - 362 cm (Annual over 600)
11. Honavar (Karnataka) - 355 (Annual over 350)
12. Ratnagiri (Maharashtra) - 350 cm (Annual around 300)
13. Panambur (Karnataka) - 350 cm (Annual over 350)
14. Mangalore AP (Karnataka) - 349 cm (Annual around 400)
15. Kottigehara (Karnataka) - 342 cm (Annual around ??)
16. North Lakhimpur (Assam) - 338 cm (Annual around 350)
17. Karwar (Karnataka) - 328 cm (Annual around 400)
18. Harnai (Maharashtra) - 323 cm (Annual around 250)
19. Piravom (Kerala) - 320 cm (Annual around ??)
20. Mumbai Santa Cruz (Maharashtra) - 320 cm (Annual around 250)
21. Gangtok (Sikkim) - 317 cm (Annual over 350)
22. Jalpaiguri (West Bengal) - 317 cm (Annual around 350)
23. Matheran (Maharashtra) - 312 cm (Annual around 550)
24. Panjim (Goa) - 312 cm (Annual around 300)
25. Vadakara (Kerala) - 312 cm (Annual around ??)
26. Mumbai Colaba (Maharashtra) - 312 cm (Annual around 200)
27. Chinnakallar (Tamilnadu) - 291 cm (Annual around 500)
28. Peermade (Kerala) - 282 cm (Annual around 500)
29. Kannur (Kerala) - 273cm ( Annual around ??)
30. Itanagar (Arunachal Pradesh) - 279 cm (Annual around 350)
31. Dehradun (Uttranchal) - 268 cm (Annual around 200)
32. Dibrugarh (Assam) - 266 cm (Annual around 300)
33. Dahanu (Goa) - 259 cm (Annual around 250)
34. Valparai (Tamilnadu) - 248 cm (Annual around 350)
35. Devala (Tamilnadu) - 247 cm (Annual over 400)

Many stations in Kerala, Karnataka, Maharastra, and North East would have crossed 250 cm. Its very time consuming in calculating the rankings from the archived data.