Climatch

Land with a climate like Maulavi Bāzār

🇧🇩Maulavi Bāzār, Sylhet Division, Bangladesh

The towns with the closest growing climate to Maulavi Bāzār are Silchar, India (99% match), Agartala and Kishorganj. About 169,000 sq mi of land in 7 countries matches 80% or better, most of it in Assam, India, Kachin State, Myanmar and Chittagong, Bangladesh.The towns with the closest growing climate to Maulavi Bāzār are Silchar, India (99% match), Agartala and Kishorganj. About 437,000 km² of land in 7 countries matches 80% or better, most of it in Assam, India, Kachin State, Myanmar and Chittagong, Bangladesh.

Your growing climate

Zone 11a · No frost · 3 chill hours · 106 in rainZone 11a · No frost · 3 chill hours · 2,681 mm rain

What grows in Maulavi Bāzār →

Regions with the most land like yours

  1. 1

    🇮🇳Assam, India

    29k sq mi76k km² matching 80% or better

    For example Hailākāndi (99), Silchar (99)

  2. 2

    🇲🇲Kachin State, Myanmar

    17k sq mi45k km² matching 80% or better

    For example Myitkyina (93), Mogaung (93)

  3. 3

    🇧🇩Chittagong, Bangladesh

    13k sq mi33k km² matching 80% or better

    For example Shāhbāzpur Town (99), Brāhmanbāria (99)

  4. 4

    🇮🇳West Bengal, India

    13k sq mi32k km² matching 80% or better

    For example Hāsimāra (96), Birpara (96)

  5. 5

    🇲🇲Sagaing Region, Myanmar

    12k sq mi31k km² matching 80% or better

    For example Tamu (94), Tatkon (92)

  6. 6

    🇧🇩Khulna Division, Bangladesh

    8,800 sq mi23k km² matching 80% or better

    For example Kālia (96), Narail (96)

  7. 7

    🇧🇩Dhaka Division, Bangladesh

    7,400 sq mi19k km² matching 80% or better

    For example Bājitpur (99), Nagar Naluākot (99)

  8. 8

    🇮🇳Tripura, India

    5,700 sq mi15k km² matching 80% or better

    For example Agartala (99), Madhuban (99)

  9. 9

    🇱🇦Vientiane, Laos

    3,100 sq mi8,100 km² matching 80% or better

    For example Vang Vieng (89)

  10. 10

    🇹🇭Bueng Kan, Thailand

    2,600 sq mi6,600 km² matching 80% or better

    For example Seka (86)

  11. 11

    🇱🇦Bolikhamsai, Laos

    2,600 sq mi6,600 km² matching 80% or better

    For example Pakxan (89), Borikhan (89)

  12. 12

    🇱🇦Khammouane Province, Laos

    2,000 sq mi5,200 km² matching 80% or better

    For example Thakhèk (75)

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

    🇮🇳SilcharAssam, India

    Zone 11a · No frost · 0 chill hours · 92 in rainZone 11a · No frost · 0 chill hours · 2,336 mm rain

    Shares 18 of your 19 great-fit crops · Also great there: avocado

    99%match
  2. 2

    🇮🇳AgartalaTripura, India

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

    Shares 18 of your 19 great-fit crops · Also great there: avocado

    99%match
  3. 3

    🇧🇩KishorganjDhaka Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 92 in rainZone 11a · No frost · 0 chill hours · 2,331 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: avocado, macadamia

    99%match
  4. 4

    🇧🇩GazipurDhaka Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 84 in rainZone 11a · No frost · 0 chill hours · 2,145 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: avocado

    99%match
  5. 5

    🇧🇩ComillaChittagong, Bangladesh

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

    Shares 19 of your 19 great-fit crops · Also great there: avocado, macadamia

    99%match
  6. 6

    🇧🇩NarayanganjDhaka Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 86 in rainZone 11a · No frost · 0 chill hours · 2,196 mm rain

    Shares 18 of your 19 great-fit crops · Also great there: avocado

    98%match
  7. 7

    🇧🇩FarīdpurDhaka Division, Bangladesh

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

    Shares 17 of your 19 great-fit crops · Also great there: avocado

    98%match
  8. 8

    🇮🇳BarpetaAssam, India

    Zone 11a · No frost · 0 chill hours · 88 in rainZone 11a · No frost · 0 chill hours · 2,246 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: macadamia, avocado

    98%match
  9. 9

    🇧🇩NāgarpurDhaka Division, Bangladesh

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

    Shares 17 of your 19 great-fit crops · Also great there: avocado

    97%match
  10. 10

    🇮🇳ShellaMeghalaya, India

    Zone 11a · No frost · 0 chill hours · 162 in rainZone 11a · No frost · 0 chill hours · 4,127 mm rain

    Shares 13 of your 19 great-fit crops · Also great there: potato

    97%match
  11. 11

    🇧🇩MadaripurDhaka Division, Bangladesh

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

    Shares 18 of your 19 great-fit crops · Also great there: avocado

    97%match
  12. 12

    🇮🇳BongaigaonAssam, India

    Zone 11a · No frost · 0 chill hours · 132 in rainZone 11a · No frost · 0 chill hours · 3,353 mm rain

    Shares 17 of your 19 great-fit crops · Also great there: potato

    97%match
  13. 13

    🇮🇳GuwahatiAssam, India

    Zone 11a · No frost · 0 chill hours · 68 in rainZone 11a · No frost · 0 chill hours · 1,739 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: avocado, macadamia

    96%match
  14. 14

    🇧🇩TangailDhaka Division, Bangladesh

    Zone 11a · No frost · 2 chill hours · 73 in rainZone 11a · No frost · 2 chill hours · 1,847 mm rain

    Shares 17 of your 19 great-fit crops · Also great there: avocado

    96%match
  15. 15

    🇮🇳RangāpāraAssam, India

    Zone 11a · No frost · 1 chill hours · 86 in rainZone 11a · No frost · 1 chill hours · 2,187 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: avocado

    96%match
  16. 16

    🇮🇳RangiaAssam, India

    Zone 11a · No frost · 0 chill hours · 82 in rainZone 11a · No frost · 0 chill hours · 2,076 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: macadamia, avocado, potato

    96%match
  17. 17

    🇧🇩MymensinghMymensingh Division, Bangladesh

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

    Shares 17 of your 19 great-fit crops · Also great there: avocado, macadamia

    96%match
  18. 18

    🇧🇩ChāndpurChittagong, Bangladesh

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

    Shares 17 of your 19 great-fit crops · Also great there: avocado, macadamia

    96%match
  19. 19

    🇧🇩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 19 great-fit crops

    95%match
  20. 20

    🇮🇳GoyerkātaWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 143 in rainZone 11a · No frost · 0 chill hours · 3,621 mm rain

    Shares 15 of your 19 great-fit crops

    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 Maulavi Bāzār: 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.