Climatch

Land with a climate like Mawlaik

🇲🇲Mawlaik, Sagaing Region, Myanmar

The towns with the closest growing climate to Mawlaik are Kyauktan, Myanmar (99% match), Shwegu and Mohnyin. About 320,000 sq mi of land in 6 countries matches 80% or better, most of it in West Bengal, India, Sagaing Region, Myanmar and Odisha, India.The towns with the closest growing climate to Mawlaik are Kyauktan, Myanmar (99% match), Shwegu and Mohnyin. About 830,000 km² of land in 6 countries matches 80% or better, most of it in West Bengal, India, Sagaing Region, Myanmar and Odisha, India.

Your growing climate

Zone 11a · No frost · 0 chill hours · 73 in rainZone 11a · No frost · 0 chill hours · 1,856 mm rain

What grows in Mawlaik →

Regions with the most land like yours

  1. 1

    🇮🇳West Bengal, India

    26k sq mi67k km² matching 80% or better

    For example Bālurghāt (92), Bangaon (92)

  2. 2

    🇲🇲Sagaing Region, Myanmar

    21k sq mi55k km² matching 80% or better

    For example Kyauktan (99), Tatkon (98)

  3. 3

    🇮🇳Odisha, India

    18k sq mi47k km² matching 80% or better

    For example Balasore (84), Jaleshwar (83)

  4. 4

    🇧🇩Chittagong, Bangladesh

    14k sq mi37k km² matching 80% or better

    For example Khagrachhari (93), Manikchari (93)

  5. 5

    🇲🇲Kachin State, Myanmar

    14k sq mi36k km² matching 80% or better

    For example Shwegu (99), Mohnyin (98)

  6. 6

    🇲🇲Rakhine, Myanmar

    13k sq mi34k km² matching 80% or better

    For example Ann (87), Sittwe (83)

  7. 7

    🇮🇳Assam, India

    8,600 sq mi22k km² matching 80% or better

    For example Hojāi (91), Lanka (90)

  8. 8

    🇧🇩Khulna Division, Bangladesh

    8,500 sq mi22k km² matching 80% or better

    For example Kushtia (94), Kālīganj (93)

  9. 9

    🇧🇩Dhaka Division, Bangladesh

    7,400 sq mi19k km² matching 80% or better

    For example Nāgarpur (94), Tangail (94)

  10. 10

    🇹🇭Nan, Thailand

    5,700 sq mi15k km² matching 80% or better

    For example Nan (85)

  11. 11

    🇱🇦Bokeo, Laos

    5,100 sq mi13k km² matching 80% or better

    For example Ban Khoan (91), Ban Houakhoua (87)

  12. 12

    🇹🇭Tak, Thailand

    4,600 sq mi12k km² matching 80% or better

    For example Mae Ramat (83), Mae Sot (82)

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

    🇲🇲KyauktanSagaing Region, Myanmar

    Zone 11a · No frost · 1 chill hours · 59 in rainZone 11a · No frost · 1 chill hours · 1,501 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  2. 2

    🇲🇲ShweguKachin State, Myanmar

    Zone 11a · No frost · 2 chill hours · 57 in rainZone 11a · No frost · 2 chill hours · 1,457 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: fig

    99%match
  3. 3

    🇲🇲MohnyinKachin State, Myanmar

    Zone 10b · No frost · 11 chill hours · 65 in rainZone 10b · No frost · 11 chill hours · 1,644 mm rain

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

    98%match
  4. 4

    🇲🇲TatkonSagaing Region, Myanmar

    Zone 11a · No frost · 1 chill hours · 80 in rainZone 11a · No frost · 1 chill hours · 2,028 mm rain

    Shares 18 of your 18 great-fit crops

    98%match
  5. 5

    🇲🇲BhamoKachin State, Myanmar

    Zone 11a · No frost · 4 chill hours · 61 in rainZone 11a · No frost · 4 chill hours · 1,546 mm rain

    Shares 17 of your 18 great-fit crops

    98%match
  6. 6

    🇲🇲KathaSagaing Region, Myanmar

    Zone 11a · No frost · 1 chill hours · 57 in rainZone 11a · No frost · 1 chill hours · 1,454 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: fig

    96%match
  7. 7

    🇧🇩ShibganjRajshahi Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 77 in rainZone 11a · No frost · 0 chill hours · 1,966 mm rain

    Shares 18 of your 18 great-fit crops

    95%match
  8. 8

    🇲🇲MogaungKachin State, Myanmar

    Zone 10b · No frost · 6 chill hours · 78 in rainZone 10b · No frost · 6 chill hours · 1,992 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: macadamia

    94%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 18 of your 18 great-fit crops

    94%match
  10. 10

    🇧🇩TangailDhaka Division, Bangladesh

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

    Shares 18 of your 18 great-fit crops

    94%match
  11. 11

    🇧🇩PābnaRajshahi Division, Bangladesh

    Zone 10b · No frost · 2 chill hours · 67 in rainZone 10b · No frost · 2 chill hours · 1,700 mm rain

    Shares 18 of your 18 great-fit crops

    94%match
  12. 12

    🇲🇲LakangKachin State, Myanmar

    Zone 10b · No frost · 12 chill hours · 62 in rainZone 10b · No frost · 12 chill hours · 1,571 mm rain

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

    94%match
  13. 13

    🇧🇩Pār NaogaonRajshahi Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 66 in rainZone 11a · No frost · 0 chill hours · 1,676 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: date palm

    93%match
  14. 14

    🇧🇩KhagrachhariChittagong, Bangladesh

    Zone 11a · No frost · 0 chill hours · 89 in rainZone 11a · No frost · 0 chill hours · 2,250 mm rain

    Shares 18 of your 18 great-fit crops

    93%match
  15. 15

    🇮🇳BālurghātWest Bengal, India

    Zone 10b · No frost · 4 chill hours · 72 in rainZone 10b · No frost · 4 chill hours · 1,829 mm rain

    Shares 17 of your 18 great-fit crops

    92%match
  16. 16

    🇧🇩DinajpurRangpur Division, Bangladesh

    Zone 10b · No frost · 8 chill hours · 77 in rainZone 10b · No frost · 8 chill hours · 1,955 mm rain

    Shares 17 of your 18 great-fit crops

    92%match
  17. 17

    🇧🇩FarīdpurDhaka Division, Bangladesh

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

    Shares 18 of your 18 great-fit crops

    92%match
  18. 18

    🇧🇩JamālpurMymensingh Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 84 in rainZone 11a · No frost · 0 chill hours · 2,136 mm rain

    Shares 18 of your 18 great-fit crops

    92%match
  19. 19

    🇧🇩JessoreKhulna Division, Bangladesh

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

    Shares 17 of your 18 great-fit crops

    92%match
  20. 20

    🇳🇵BiratnagarKoshi, Nepal

    Zone 10b · No frost · 11 chill hours · 79 in rainZone 10b · No frost · 11 chill hours · 1,998 mm rain

    Shares 14 of your 18 great-fit crops · Also great there: date palm

    91%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 Mawlaik: 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.