Climatch

Land with a climate like Yawnghwe

🇲🇲Yawnghwe, Shan State, Myanmar

The towns with the closest growing climate to Yawnghwe are Nansang, Myanmar (99% match), Pèkon and Pyin Oo Lwin. About 173,000 sq mi of land in 11 countries matches 80% or better, most of it in Shan State, Myanmar, Sagaing Region, Myanmar and Yunnan, China.The towns with the closest growing climate to Yawnghwe are Nansang, Myanmar (99% match), Pèkon and Pyin Oo Lwin. About 448,000 km² of land in 11 countries matches 80% or better, most of it in Shan State, Myanmar, Sagaing Region, Myanmar and Yunnan, China.

Your growing climate

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

What grows in Yawnghwe →

Regions with the most land like yours

  1. 1

    🇲🇲Shan State, Myanmar

    42k sq mi109k km² matching 80% or better

    For example Nansang (99), Pèkon (99)

  2. 2

    🇲🇲Sagaing Region, Myanmar

    11k sq mi28k km² matching 80% or better

    For example Kyauktan (78), Mawlaik (77)

  3. 3

    🇨🇳Yunnan, China

    8,300 sq mi22k km² matching 80% or better

    For example Mengmao (89), Zhefang (85)

  4. 4

    🇮🇳Mizoram, India

    8,000 sq mi21k km² matching 80% or better

    For example Saiha (90), Aizawl (89)

  5. 5

    🇲🇲Mandalay Region, Myanmar

    6,900 sq mi18k km² matching 80% or better

    For example Pyin Oo Lwin (99), Mogok (86)

  6. 6

    🇧🇷Minas Gerais, Brazil

    6,500 sq mi17k km² matching 80% or better

    For example Monte Alegre de Minas (81), Lagoa Formosa (80)

  7. 7

    🇹🇭Chiang Mai, Thailand

    4,200 sq mi11k km² matching 80% or better

    For example San Kamphaeng (63), Hang Dong (61)

  8. 8

    🇱🇦Bokeo, Laos

    3,400 sq mi8,700 km² matching 80% or better

    For example Ban Khoan (69), Ban Houakhoua (60)

  9. 9

    🇹🇭Nan, Thailand

    3,100 sq mi8,100 km² matching 80% or better

    For example Nan (57)

  10. 10

    🇹🇭Chiang Rai, Thailand

    3,100 sq mi8,000 km² matching 80% or better

    For example Mae Sai (73), Mae Chan (71)

  11. 11

    🇱🇦Loungnamtha, Laos

    2,800 sq mi7,200 km² matching 80% or better

    For example Muang Sing (78)

  12. 12

    🇱🇦Luang Prabang Province, Laos

    2,500 sq mi6,600 km² matching 80% or better

    For example Luang Prabang (55)

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

    🇲🇲NansangShan State, Myanmar

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

    Shares 22 of your 23 great-fit crops · Also great there: fig

    99%match
  2. 2

    🇲🇲PèkonShan State, Myanmar

    Zone 11a · No frost · 2 chill hours · 51 in rainZone 11a · No frost · 2 chill hours · 1,308 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: fig

    99%match
  3. 3

    🇲🇲Pyin Oo LwinMandalay Region, Myanmar

    Zone 10b · Frost 1 years in 10 · 65 chill hours · 59 in rainZone 10b · Frost 1 years in 10 · 65 chill hours · 1,509 mm rain

    Shares 20 of your 23 great-fit crops

    99%match
  4. 4

    🇲🇲KyaukmeShan State, Myanmar

    Zone 10b · No frost · 43 chill hours · 61 in rainZone 10b · No frost · 43 chill hours · 1,537 mm rain

    Shares 21 of your 23 great-fit crops

    97%match
  5. 5

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

    93%match
  6. 6

    🇲🇲LashioShan State, Myanmar

    Zone 10b · Frost 1 years in 10 · 67 chill hours · 53 in rainZone 10b · Frost 1 years in 10 · 67 chill hours · 1,337 mm rain

    Shares 19 of your 23 great-fit crops · Also great there: fig

    93%match
  7. 7

    🇮🇳SaihaMizoram, India

    Zone 11a · No frost · 0 chill hours · 120 in rainZone 11a · No frost · 0 chill hours · 3,044 mm rain

    Shares 21 of your 23 great-fit crops

    90%match
  8. 8

    🇲🇲Mu-seShan State, Myanmar

    Zone 10a · Frost 3 years in 10 · 117 chill hours · 52 in rainZone 10a · Frost 3 years in 10 · 117 chill hours · 1,314 mm rain

    Shares 18 of your 23 great-fit crops · Also great there: fig

    89%match
  9. 9

    🇮🇳AizawlMizoram, India

    Zone 11a · No frost · 6 chill hours · 85 in rainZone 11a · No frost · 6 chill hours · 2,160 mm rain

    Shares 23 of your 23 great-fit crops

    89%match
  10. 10

    🇮🇳SerchhīpMizoram, India

    Zone 10b · No frost · 16 chill hours · 96 in rainZone 10b · No frost · 16 chill hours · 2,431 mm rain

    Shares 22 of your 23 great-fit crops

    88%match
  11. 11

    🇲🇲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 22 of your 23 great-fit crops · Also great there: fig

    88%match
  12. 12

    🇲🇲MogokMandalay Region, Myanmar

    Zone 10a · Frost 4 years in 10 · 192 chill hours · 96 in rainZone 10a · Frost 4 years in 10 · 192 chill hours · 2,437 mm rain

    Shares 16 of your 23 great-fit crops

    86%match
  13. 13

    🇲🇲PangkhamShan State, Myanmar

    Zone 10b · No frost · 18 chill hours · 51 in rainZone 10b · No frost · 18 chill hours · 1,304 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: fig

    86%match
  14. 14

    🇲🇲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 23 great-fit crops

    85%match
  15. 15

    🇮🇳LungleiMizoram, India

    Zone 11a · No frost · 0 chill hours · 128 in rainZone 11a · No frost · 0 chill hours · 3,241 mm rain

    Shares 19 of your 23 great-fit crops

    85%match
  16. 16

    🇮🇳SunabedaOdisha, India

    Zone 11a · No frost · 0 chill hours · 73 in rainZone 11a · No frost · 0 chill hours · 1,848 mm rain

    Shares 20 of your 23 great-fit crops

    84%match
  17. 17

    🇨🇳YingjiangYunnan, China

    Zone 10a · Frost 4 years in 10 · 157 chill hours · 61 in rainZone 10a · Frost 4 years in 10 · 157 chill hours · 1,539 mm rain

    Shares 18 of your 23 great-fit crops

    84%match
  18. 18

    🇬🇹San Pedro AyampucGuatemala, Guatemala

    Zone 12a · No frost · 0 chill hours · 60 in rainZone 12a · No frost · 0 chill hours · 1,516 mm rain

    Shares 23 of your 23 great-fit crops

    83%match
  19. 19

    🇲🇲LaukkaiShan State, Myanmar

    Zone 10a · Frost 2 years in 10 · 110 chill hours · 54 in rainZone 10a · Frost 2 years in 10 · 110 chill hours · 1,375 mm rain

    Shares 18 of your 23 great-fit crops · Also great there: fig

    83%match
  20. 20

    🇨🇳ShangyunYunnan, China

    Zone 10b · Frost 1 years in 10 · 73 chill hours · 54 in rainZone 10b · Frost 1 years in 10 · 73 chill hours · 1,380 mm rain

    Shares 18 of your 23 great-fit crops · Also great there: fig

    82%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 Yawnghwe: 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.