Climatch

Land with a climate like Hsipaw

🇲🇲Hsipaw, Shan State, Myanmar

The towns with the closest growing climate to Hsipaw are Bhamo, Myanmar (96% match), Shwegu and Kyauktan. About 222,000 sq mi of land in 13 countries matches 80% or better, most of it in Shan State, Myanmar, Sagaing Region, Myanmar and Kachin State, Myanmar.The towns with the closest growing climate to Hsipaw are Bhamo, Myanmar (96% match), Shwegu and Kyauktan. About 576,000 km² of land in 13 countries matches 80% or better, most of it in Shan State, Myanmar, Sagaing Region, Myanmar and Kachin State, Myanmar.

Your growing climate

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

What grows in Hsipaw →

Regions with the most land like yours

  1. 1

    🇲🇲Shan State, Myanmar

    32k sq mi83k km² matching 80% or better

    For example Tachilek (93), Möng Yawng (93)

  2. 2

    🇲🇲Sagaing Region, Myanmar

    21k sq mi53k km² matching 80% or better

    For example Kyauktan (94), Katha (93)

  3. 3

    🇲🇲Kachin State, Myanmar

    12k sq mi32k km² matching 80% or better

    For example Bhamo (96), Shwegu (96)

  4. 4

    🇮🇳Odisha, India

    7,100 sq mi18k km² matching 80% or better

    For example Sunabeda (84), Koraput (83)

  5. 5

    🇹🇭Nan, Thailand

    5,700 sq mi15k km² matching 80% or better

    For example Nan (83)

  6. 6

    🇹🇭Chiang Mai, Thailand

    5,100 sq mi13k km² matching 80% or better

    For example San Kamphaeng (86), Hang Dong (85)

  7. 7

    🇱🇦Luang Prabang Province, Laos

    5,100 sq mi13k km² matching 80% or better

    For example Luang Prabang (84)

  8. 8

    🇱🇦Bokeo, Laos

    5,100 sq mi13k km² matching 80% or better

    For example Ban Khoan (92), Ban Houakhoua (87)

  9. 9

    🇱🇦Oudômxai, Laos

    5,000 sq mi13k km² matching 80% or better

    For example Muang Xay (91)

  10. 10

    🇨🇳Yunnan, China

    4,700 sq mi12k km² matching 80% or better

    For example Yunjinghong (92), Mengla (90)

  11. 11

    🇹🇭Chiang Rai, Thailand

    4,500 sq mi12k km² matching 80% or better

    For example Mae Sai (93), Mae Chan (93)

  12. 12

    🇲🇿Manica, Mozambique

    4,000 sq mi10k km² matching 80% or better

    For example Catandica (81), Gondola (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

    🇲🇲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 20 great-fit crops

    96%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 18 of your 20 great-fit crops

    96%match
  3. 3

    🇲🇲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 20 great-fit crops

    94%match
  4. 4

    🇲🇲Möng YawngShan State, Myanmar

    Zone 11a · No frost · 0 chill hours · 62 in rainZone 11a · No frost · 0 chill hours · 1,577 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: banana, tea

    93%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 20 great-fit crops

    93%match
  6. 6

    🇲🇲LoikawKayah State, Myanmar

    Zone 11a · No frost · 3 chill hours · 51 in rainZone 11a · No frost · 3 chill hours · 1,291 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: potato

    93%match
  7. 7

    🇲🇲KathaSagaing Region, Myanmar

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

    Shares 18 of your 20 great-fit crops

    93%match
  8. 8

    🇲🇲Kēng TungShan State, Myanmar

    Zone 11a · No frost · 10 chill hours · 53 in rainZone 11a · No frost · 10 chill hours · 1,343 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: coffee (arabica), potato, banana

    92%match
  9. 9

    🇲🇲TangyanShan State, Myanmar

    Zone 10b · Frost 1 years in 10 · 77 chill hours · 49 in rainZone 10b · Frost 1 years in 10 · 77 chill hours · 1,249 mm rain

    Shares 18 of your 20 great-fit crops · Also great there: potato

    92%match
  10. 10

    🇲🇲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 20 great-fit crops

    92%match
  11. 11

    🇱🇦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 20 great-fit crops

    92%match
  12. 12

    🇨🇳YunjinghongYunnan, China

    Zone 11a · No frost · 0 chill hours · 58 in rainZone 11a · No frost · 0 chill hours · 1,475 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: banana, tea, potato

    92%match
  13. 13

    🇱🇦Muang SingLoungnamtha, Laos

    Zone 11a · No frost · 1 chill hours · 67 in rainZone 11a · No frost · 1 chill hours · 1,706 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: banana, tea

    92%match
  14. 14

    🇹🇭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 20 great-fit crops

    91%match
  15. 15

    🇲🇲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 20 great-fit crops

    91%match
  16. 16

    🇱🇦Muang XayOudômxai, Laos

    Zone 11a · No frost · 0 chill hours · 59 in rainZone 11a · No frost · 0 chill hours · 1,495 mm rain

    Shares 20 of your 20 great-fit crops

    91%match
  17. 17

    🇲🇲KalemyoSagaing Region, Myanmar

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

    Shares 17 of your 20 great-fit crops · Also great there: date palm

    91%match
  18. 18

    🇲🇲NansangShan State, Myanmar

    Zone 10b · No frost · 28 chill hours · 59 in rainZone 10b · No frost · 28 chill hours · 1,488 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: potato, tea, coffee (arabica)

    90%match
  19. 19

    🇨🇳MenglaYunnan, China

    Zone 11a · No frost · 0 chill hours · 62 in rainZone 11a · No frost · 0 chill hours · 1,569 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: banana, tea, coffee (arabica)

    90%match
  20. 20

    🇲🇲YawnghweShan State, Myanmar

    Zone 10b · No frost · 18 chill hours · 64 in rainZone 10b · No frost · 18 chill hours · 1,632 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: coffee (arabica), potato, tea

    90%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 Hsipaw: 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.