Climatch

Land with a climate like Hpākān

🇲🇲Hpākān, Kachin State, Myanmar

The towns with the closest growing climate to Hpākān are Tatkon, Myanmar (99% match), Mohnyin and Danai. About 232,000 sq mi of land in 9 countries matches 80% or better, most of it in Assam, India, Kachin State, Myanmar and Sagaing Region, Myanmar.The towns with the closest growing climate to Hpākān are Tatkon, Myanmar (99% match), Mohnyin and Danai. About 600,000 km² of land in 9 countries matches 80% or better, most of it in Assam, India, Kachin State, Myanmar and Sagaing Region, Myanmar.

Your growing climate

Zone 10b · No frost · 12 chill hours · 98 in rainZone 10b · No frost · 12 chill hours · 2,500 mm rain

What grows in Hpākān →

Regions with the most land like yours

  1. 1

    🇮🇳Assam, India

    30k sq mi77k km² matching 80% or better

    For example Jagiroad (94), Lanka (93)

  2. 2

    🇲🇲Kachin State, Myanmar

    20k sq mi52k km² matching 80% or better

    For example Mohnyin (98), Danai (98)

  3. 3

    🇲🇲Sagaing Region, Myanmar

    15k sq mi40k km² matching 80% or better

    For example Tatkon (99), Tamu (98)

  4. 4

    🇧🇩Chittagong, Bangladesh

    12k sq mi32k km² matching 80% or better

    For example Shāhbāzpur Town (90), Brāhmanbāria (90)

  5. 5

    🇮🇳West Bengal, India

    8,900 sq mi23k km² matching 80% or better

    For example Bagdogra (90), Mātābhānga (88)

  6. 6

    🇧🇩Khulna Division, Bangladesh

    8,300 sq mi21k km² matching 80% or better

    For example Kālīganj (86), Narail (86)

  7. 7

    🇮🇳Mizoram, India

    7,400 sq mi19k km² matching 80% or better

    For example Kolasib (93), Lunglei (89)

  8. 8

    🇧🇩Dhaka Division, Bangladesh

    7,400 sq mi19k km² matching 80% or better

    For example Sakhipur (92), Nāgarpur (91)

  9. 9

    🇱🇦Luang Prabang Province, Laos

    5,100 sq mi13k km² matching 80% or better

    For example Luang Prabang (81)

  10. 10

    🇱🇦Oudômxai, Laos

    5,000 sq mi13k km² matching 80% or better

    For example Muang Xay (88)

  11. 11

    🇱🇦Bokeo, Laos

    4,500 sq mi12k km² matching 80% or better

    For example Ban Khoan (79), Ban Houakhoua (75)

  12. 12

    🇲🇲Shan State, Myanmar

    4,200 sq mi11k km² matching 80% or better

    For example Namhkam (83), Möng Yawng (81)

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

    🇲🇲MohnyinKachin State, Myanmar

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

    Shares 19 of your 19 great-fit crops

    98%match
  3. 3

    🇲🇲DanaiKachin State, Myanmar

    Zone 10b · No frost · 29 chill hours · 119 in rainZone 10b · No frost · 29 chill hours · 3,013 mm rain

    Shares 15 of your 19 great-fit crops · Also great there: tea, potato

    98%match
  4. 4

    🇲🇲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

    98%match
  5. 5

    🇲🇲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

    98%match
  6. 6

    🇲🇲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

    96%match
  7. 7

    🇮🇳KolasibMizoram, India

    Zone 11a · No frost · 2 chill hours · 98 in rainZone 11a · No frost · 2 chill hours · 2,486 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: coffee (arabica), potato, banana

    93%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

    93%match
  9. 9

    🇮🇳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

    93%match
  10. 10

    🇮🇳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

    93%match
  11. 11

    🇳🇵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

    93%match
  12. 12

    🇮🇳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: banana, tea

    92%match
  13. 13

    🇲🇲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

    92%match
  14. 14

    🇮🇳ImphalManipur, India

    Zone 10b · Frost 1 years in 10 · 58 chill hours · 95 in rainZone 10b · Frost 1 years in 10 · 58 chill hours · 2,419 mm rain

    Shares 15 of your 19 great-fit crops · Also great there: potato, tea

    92%match
  15. 15

    🇲🇲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

    92%match
  16. 16

    🇮🇳DharmanagarTripura, India

    Zone 11a · No frost · 0 chill hours · 91 in rainZone 11a · No frost · 0 chill hours · 2,318 mm rain

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

    92%match
  17. 17

    🇮🇳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

    92%match
  18. 18

    🇮🇳MorigaonAssam, India

    Zone 11a · No frost · 0 chill hours · 60 in rainZone 11a · No frost · 0 chill hours · 1,527 mm rain

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

    92%match
  19. 19

    🇧🇩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

    91%match
  20. 20

    🇧🇩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 19 great-fit crops

    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 Hpākān: 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.