Climatch

Land with a climate like Raojān

🇧🇩Raojān, Chittagong, Bangladesh

The towns with the closest growing climate to Raojān are Uttar Char Fasson, Bangladesh (99% match), Maijdi and Comilla. About 305,000 sq mi of land in 11 countries matches 80% or better, most of it in West Bengal, India, Odisha, India and Sagaing Region, Myanmar.The towns with the closest growing climate to Raojān are Uttar Char Fasson, Bangladesh (99% match), Maijdi and Comilla. About 790,000 km² of land in 11 countries matches 80% or better, most of it in West Bengal, India, Odisha, India and Sagaing Region, Myanmar.

Your growing climate

Zone 11b · No frost · 0 chill hours · 106 in rainZone 11b · No frost · 0 chill hours · 2,699 mm rain

What grows in Raojān →

Regions with the most land like yours

  1. 1

    🇮🇳West Bengal, India

    25k sq mi66k km² matching 80% or better

    For example Baruipur (96), Tāki (96)

  2. 2

    🇮🇳Odisha, India

    23k sq mi59k km² matching 80% or better

    For example Balasore (92), Nilagiri (91)

  3. 3

    🇲🇲Sagaing Region, Myanmar

    17k sq mi45k km² matching 80% or better

    For example Tamu (93), Tatkon (93)

  4. 4

    🇧🇩Chittagong, Bangladesh

    15k sq mi39k km² matching 80% or better

    For example Lākshām (99), Maijdi (99)

  5. 5

    🇲🇲Rakhine, Myanmar

    15k sq mi39k km² matching 80% or better

    For example Sittwe (97), Buthidaung Town (93)

  6. 6

    🇮🇳Assam, India

    15k sq mi38k km² matching 80% or better

    For example Silchar (90), Hailākāndi (88)

  7. 7

    🇲🇲Kachin State, Myanmar

    11k sq mi27k km² matching 80% or better

    For example Mogaung (90), Hopin (89)

  8. 8

    🇧🇩Khulna Division, Bangladesh

    9,100 sq mi24k km² matching 80% or better

    For example Uttar Char Fasson (99), Taluker Char Doani (98)

  9. 9

    🇧🇩Dhaka Division, Bangladesh

    7,400 sq mi19k km² matching 80% or better

    For example Tungipara (98), Narayanganj (97)

  10. 10

    🇱🇦Savannakhet Province, Laos

    4,300 sq mi11k km² matching 80% or better

    For example Ban Xénô (84), Savannakhet (82)

  11. 11

    🇹🇭Udon Thani, Thailand

    4,000 sq mi10k km² matching 80% or better

    For example Ban Dung (88), Nam Som (83)

  12. 12

    🇰🇭Ratanakiri, Cambodia

    3,800 sq mi9,800 km² matching 80% or better

    For example Banlung (81), Lumphat (79)

Regions are states and provinces, counting land within 75 km of a town. At most three per country, so the list covers the world.

Closest towns

  1. 1

    🇧🇩Uttar Char FassonKhulna Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 113 in rainZone 11a · No frost · 0 chill hours · 2,858 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: barley

    99%match
  2. 2

    🇧🇩MaijdiChittagong, Bangladesh

    Zone 11b · No frost · 0 chill hours · 114 in rainZone 11b · No frost · 0 chill hours · 2,884 mm rain

    Shares 15 of your 16 great-fit crops

    99%match
  3. 3

    🇧🇩ComillaChittagong, Bangladesh

    Zone 11a · No frost · 0 chill hours · 86 in rainZone 11a · No frost · 0 chill hours · 2,186 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: avocado, banana, barley

    99%match
  4. 4

    🇧🇩BholaBarisal Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 96 in rainZone 11a · No frost · 0 chill hours · 2,447 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: avocado, barley, macadamia

    98%match
  5. 5

    🇧🇩TungiparaDhaka Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 82 in rainZone 11a · No frost · 0 chill hours · 2,086 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: avocado, barley

    98%match
  6. 6

    🇧🇩BarishalBarisal Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 89 in rainZone 11a · No frost · 0 chill hours · 2,269 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: avocado, barley

    98%match
  7. 7

    🇧🇩Cox’s BāzārChittagong, Bangladesh

    Zone 11b · No frost · 0 chill hours · 141 in rainZone 11b · No frost · 0 chill hours · 3,590 mm rain

    Shares 13 of your 16 great-fit crops

    98%match
  8. 8

    🇲🇲SittweRakhine, Myanmar

    Zone 11b · No frost · 0 chill hours · 155 in rainZone 11b · No frost · 0 chill hours · 3,930 mm rain

    Shares 11 of your 16 great-fit crops

    97%match
  9. 9

    🇧🇩KhulnaKhulna Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 74 in rainZone 11a · No frost · 0 chill hours · 1,887 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: avocado

    97%match
  10. 10

    🇧🇩MadaripurDhaka Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 83 in rainZone 11a · No frost · 0 chill hours · 2,120 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: avocado, banana, barley

    97%match
  11. 11

    🇧🇩FarīdpurDhaka Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 78 in rainZone 11a · No frost · 0 chill hours · 1,988 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: avocado, barley

    97%match
  12. 12

    🇧🇩DhakaDhaka Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 86 in rainZone 11a · No frost · 0 chill hours · 2,181 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: avocado, banana

    97%match
  13. 13

    🇧🇩JessoreKhulna Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 70 in rainZone 11a · No frost · 0 chill hours · 1,771 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: barley

    97%match
  14. 14

    🇧🇩ChāndpurChittagong, Bangladesh

    Zone 11b · No frost · 0 chill hours · 84 in rainZone 11b · No frost · 0 chill hours · 2,135 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: avocado, macadamia, banana

    97%match
  15. 15

    🇮🇳AgartalaTripura, India

    Zone 11a · No frost · 1 chill hours · 82 in rainZone 11a · No frost · 1 chill hours · 2,071 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: avocado, barley, banana

    96%match
  16. 16

    🇧🇩Nagar NaluākotDhaka Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 89 in rainZone 11a · No frost · 0 chill hours · 2,252 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: avocado, barley, banana

    96%match
  17. 17

    🇮🇳BangaonWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 67 in rainZone 11a · No frost · 0 chill hours · 1,705 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: barley, date palm

    96%match
  18. 18

    🇧🇩NāgarpurDhaka Division, Bangladesh

    Zone 11a · No frost · 2 chill hours · 73 in rainZone 11a · No frost · 2 chill hours · 1,855 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: avocado, barley

    96%match
  19. 19

    🇮🇳Rajpur SonarpurWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 71 in rainZone 11a · No frost · 0 chill hours · 1,796 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: date palm, barley

    96%match
  20. 20

    🇧🇩SakhipurDhaka Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 80 in rainZone 11a · No frost · 0 chill hours · 2,034 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: avocado, barley

    95%match

Any town over 15,000 people, skipping those within 75 km of you. ↻ = seasons flipped across the equator.

How matching works

We compare all twelve months of average highs and lows, rain, humidity and sunshine, the same way as Climatch's places-like search, but weighted for growing: winter lows count most, since frost, chill and hardiness decide which perennials survive, then summer highs and rain. Humidity counts least.

Scores show how unusual a match this close is: 80 or better is closer than all but about 2% of random pairs of places. Across the equator seasons are lined up (↻), so a southern farm's January is compared with a northern July. Climate is only part of it: check soil, water and day length (it matters for photoperiod crops) before buying land.

Looking for land?

We're building detailed reports on land like Raojān: frost risk year by year, water, and how each match's climate is shifting by 2050.

We'll only use your email for the report and related updates.

Climate data: TerraClimate 1991–2020 monthly averages (Abatzoglou, J.T. et al., 2018, Scientific Data 5:170191). Humidity is derived from TerraClimate vapor pressure; “sunshine” is solar radiation.

Places: GeoNames (CC BY 4.0). Map: © OpenStreetMap contributors, tiles by OpenFreeMap.

Grower tools: crop ranges from FAO ECOCROP and university extension guides (cited per crop). Daily weather, frost dates and chill are estimated from the monthly averages; chill portions use the Dynamic Model (Fishman, Erez & Couvillon, 1987), hardiness zones follow the USDA definition.