Climatch

Land with a climate like Hopin

🇲🇲Hopin, Kachin State, Myanmar

The towns with the closest growing climate to Hopin are Tatkon, Myanmar (99% match), Tamu and Lakang. About 316,000 sq mi of land in 11 countries matches 80% or better, most of it in Assam, India, West Bengal, India and Sagaing Region, Myanmar.The towns with the closest growing climate to Hopin are Tatkon, Myanmar (99% match), Tamu and Lakang. About 817,000 km² of land in 11 countries matches 80% or better, most of it in Assam, India, West Bengal, India and Sagaing Region, Myanmar.

Your growing climate

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

What grows in Hopin →

Regions with the most land like yours

  1. 1

    🇮🇳Assam, India

    25k sq mi65k km² matching 80% or better

    For example Lanka (98), Hojāi (98)

  2. 2

    🇮🇳West Bengal, India

    22k sq mi58k km² matching 80% or better

    For example Kāliyāganj (93), Bangaon (92)

  3. 3

    🇲🇲Sagaing Region, Myanmar

    19k sq mi48k km² matching 80% or better

    For example Tatkon (99), Tamu (99)

  4. 4

    🇲🇲Kachin State, Myanmar

    18k sq mi48k km² matching 80% or better

    For example Lakang (99), Bhamo (99)

  5. 5

    🇧🇩Chittagong, Bangladesh

    12k sq mi32k km² matching 80% or better

    For example Brāhmanbāria (93), Shāhbāzpur Town (93)

  6. 6

    🇲🇲Shan State, Myanmar

    10k sq mi27k km² matching 80% or better

    For example Tachilek (90), Hsipaw (90)

  7. 7

    🇮🇳Odisha, India

    8,700 sq mi23k km² matching 80% or better

    For example Balasore (83), Nilagiri (83)

  8. 8

    🇧🇩Khulna Division, Bangladesh

    8,500 sq mi22k km² matching 80% or better

    For example Kālīganj (95), Kushtia (95)

  9. 9

    🇧🇩Dhaka Division, Bangladesh

    7,400 sq mi19k km² matching 80% or better

    For example Nāgarpur (96), Tangail (95)

  10. 10

    🇹🇭Nan, Thailand

    5,700 sq mi15k km² matching 80% or better

    For example Nan (82)

  11. 11

    🇱🇦Luang Prabang Province, Laos

    5,100 sq mi13k km² matching 80% or better

    For example Luang Prabang (90)

  12. 12

    🇱🇦Bokeo, Laos

    5,100 sq mi13k km² matching 80% or better

    For example Ban Khoan (90), Ban Houakhoua (87)

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

    🇲🇲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 19 great-fit crops

    99%match
  2. 2

    🇲🇲TamuSagaing Region, Myanmar

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

    Shares 18 of your 19 great-fit crops

    99%match
  3. 3

    🇲🇲LakangKachin State, Myanmar

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

    Shares 19 of your 19 great-fit crops

    99%match
  4. 4

    🇲🇲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 19 great-fit crops

    99%match
  5. 5

    🇲🇲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 19 great-fit crops

    99%match
  6. 6

    🇲🇲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 19 great-fit crops · Also great there: fig

    99%match
  7. 7

    🇲🇲MyitkyinaKachin State, Myanmar

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

    Shares 17 of your 19 great-fit crops · Also great there: banana, tea

    99%match
  8. 8

    🇮🇳HojāiAssam, India

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

    Shares 17 of your 19 great-fit crops · Also great there: banana, fig

    98%match
  9. 9

    🇲🇲MawlaikSagaing Region, Myanmar

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

    Shares 18 of your 19 great-fit crops

    97%match
  10. 10

    🇳🇵DharānKoshi, Nepal

    Zone 10b · No frost · 10 chill hours · 69 in rainZone 10b · No frost · 10 chill hours · 1,756 mm rain

    Shares 18 of your 19 great-fit crops

    97%match
  11. 11

    🇮🇳Lumding Railway ColonyAssam, India

    Zone 10b · No frost · 25 chill hours · 55 in rainZone 10b · No frost · 25 chill hours · 1,408 mm rain

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

    96%match
  12. 12

    🇲🇲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 19 great-fit crops · Also great there: fig

    96%match
  13. 13

    🇮🇳DimāpurNagaland, India

    Zone 10b · No frost · 11 chill hours · 62 in rainZone 10b · No frost · 11 chill hours · 1,581 mm rain

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

    96%match
  14. 14

    🇧🇩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 19 great-fit crops

    96%match
  15. 15

    🇧🇩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 19 great-fit crops

    96%match
  16. 16

    🇮🇳NagaonAssam, India

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

    Shares 18 of your 19 great-fit crops · Also great there: banana, tea

    96%match
  17. 17

    🇧🇩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 19 great-fit crops

    95%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 18 of your 19 great-fit crops

    94%match
  19. 19

    🇮🇳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: banana

    94%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 18 of your 19 great-fit crops

    94%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 Hopin: 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.