Climatch

Land with a climate like Shwegu

🇲🇲Shwegu, Kachin State, Myanmar

The towns with the closest growing climate to Shwegu are Kyauktan, Myanmar (99% match), Hopin and Mawlaik. About 368,000 sq mi of land in 11 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 Shwegu are Kyauktan, Myanmar (99% match), Hopin and Mawlaik. About 952,000 km² of land in 11 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 · 2 chill hours · 57 in rainZone 11a · No frost · 2 chill hours · 1,457 mm rain

What grows in Shwegu →

Regions with the most land like yours

  1. 1

    🇮🇳West Bengal, India

    25k sq mi65k km² matching 80% or better

    For example Bangaon (94), Bagulā (92)

  2. 2

    🇲🇲Sagaing Region, Myanmar

    22k sq mi56k km² matching 80% or better

    For example Kyauktan (99), Mawlaik (99)

  3. 3

    🇮🇳Odisha, India

    20k sq mi51k km² matching 80% or better

    For example Balasore (85), Remuna (85)

  4. 4

    🇧🇷Mato Grosso, Brazil

    15k sq mi38k km² matching 80% or better

    For example Cáceres (83), Poconé (81)

  5. 5

    🇲🇲Kachin State, Myanmar

    14k sq mi37k km² matching 80% or better

    For example Hopin (99), Mogaung (96)

  6. 6

    🇮🇳Assam, India

    13k sq mi34k km² matching 80% or better

    For example Hojāi (96), Lanka (95)

  7. 7

    🇲🇲Shan State, Myanmar

    13k sq mi32k km² matching 80% or better

    For example Tachilek (96), Hsipaw (96)

  8. 8

    🇧🇩Chittagong, Bangladesh

    12k sq mi32k km² matching 80% or better

    For example Brāhmanbāria (91), Khagrachhari (90)

  9. 9

    🇲🇿Sofala, Mozambique

    9,000 sq mi23k km² matching 80% or better

    For example Búzi (85), Dondo (82)

  10. 10

    🇧🇩Khulna Division, Bangladesh

    8,300 sq mi21k km² matching 80% or better

    For example Kālīganj (95), Kushtia (94)

  11. 11

    🇧🇩Dhaka Division, Bangladesh

    7,400 sq mi19k km² matching 80% or better

    For example Nāgarpur (93), Mānikganj (93)

  12. 12

    🇹🇭Nan, Thailand

    5,700 sq mi15k km² matching 80% or better

    For example Nan (91)

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 17 of your 18 great-fit crops · Also great there: canola (rapeseed)

    99%match
  2. 2

    🇲🇲HopinKachin State, Myanmar

    Zone 10b · No frost · 6 chill hours · 70 in rainZone 10b · No frost · 6 chill hours · 1,776 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: macadamia, canola (rapeseed)

    99%match
  3. 3

    🇲🇲MawlaikSagaing Region, Myanmar

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

    Shares 17 of your 18 great-fit crops · Also great there: canola (rapeseed)

    99%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 17 of your 18 great-fit crops · Also great there: canola (rapeseed)

    98%match
  5. 5

    🇲🇲KalemyoSagaing Region, Myanmar

    Zone 11b · No frost · 0 chill hours · 68 in rainZone 11b · No frost · 0 chill hours · 1,727 mm rain

    Shares 16 of your 18 great-fit crops · Also great there: canola (rapeseed), date palm

    98%match
  6. 6

    🇲🇲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

    96%match
  7. 7

    🇲🇲TamuSagaing Region, Myanmar

    Zone 11a · No frost · 1 chill hours · 91 in rainZone 11a · No frost · 1 chill hours · 2,322 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: canola (rapeseed)

    96%match
  8. 8

    🇱🇦Ban KhoanBokeo, Laos

    Zone 11b · No frost · 0 chill hours · 66 in rainZone 11b · No frost · 0 chill hours · 1,679 mm rain

    Shares 15 of your 18 great-fit crops

    96%match
  9. 9

    🇲🇲HsipawShan State, Myanmar

    Zone 10b · No frost · 6 chill hours · 50 in rainZone 10b · No frost · 6 chill hours · 1,273 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: canola (rapeseed), macadamia

    96%match
  10. 10

    🇮🇳HojāiAssam, India

    Zone 10b · No frost · 5 chill hours · 58 in rainZone 10b · No frost · 5 chill hours · 1,466 mm rain

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

    96%match
  11. 11

    🇹🇭Chiang RaiThailand

    Zone 11b · No frost · 0 chill hours · 51 in rainZone 11b · No frost · 0 chill hours · 1,306 mm rain

    Shares 15 of your 18 great-fit crops

    94%match
  12. 12

    🇧🇩PābnaRajshahi Division, Bangladesh

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

    Shares 17 of your 18 great-fit crops · Also great there: canola (rapeseed)

    94%match
  13. 13

    🇲🇲MyitkyinaKachin State, Myanmar

    Zone 11a · No frost · 2 chill hours · 72 in rainZone 11a · No frost · 2 chill hours · 1,819 mm rain

    Shares 16 of your 18 great-fit crops · Also great there: macadamia, banana, tea

    94%match
  14. 14

    🇧🇩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 18 great-fit crops · Also great there: canola (rapeseed)

    94%match
  15. 15

    🇧🇩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 18 great-fit crops · Also great there: canola (rapeseed)

    93%match
  16. 16

    🇧🇩ShibganjRajshahi Division, Bangladesh

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

    Shares 17 of your 18 great-fit crops · Also great there: canola (rapeseed)

    93%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 17 of your 18 great-fit crops · Also great there: canola (rapeseed)

    93%match
  18. 18

    🇧🇩SirajganjRajshahi Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 70 in rainZone 11a · No frost · 0 chill hours · 1,784 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: canola (rapeseed)

    92%match
  19. 19

    🇱🇦Luang PrabangLuang Prabang Province, Laos

    Zone 11b · No frost · 0 chill hours · 50 in rainZone 11b · No frost · 0 chill hours · 1,275 mm rain

    Shares 17 of your 18 great-fit crops

    92%match
  20. 20

    🇮🇳NagaonAssam, India

    Zone 11a · No frost · 0 chill hours · 64 in rainZone 11a · No frost · 0 chill hours · 1,613 mm rain

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

    92%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 Shwegu: 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.