Climatch

Land with a climate like Nansang

🇲🇲Nansang, Shan State, Myanmar

The towns with the closest growing climate to Nansang are Yawnghwe, Myanmar (99% match), Lawksawk and Pyin Oo Lwin. About 168,000 sq mi of land in 9 countries matches 80% or better, most of it in Shan State, Myanmar, Minas Gerais, Brazil and Sagaing Region, Myanmar.The towns with the closest growing climate to Nansang are Yawnghwe, Myanmar (99% match), Lawksawk and Pyin Oo Lwin. About 435,000 km² of land in 9 countries matches 80% or better, most of it in Shan State, Myanmar, Minas Gerais, Brazil and Sagaing Region, Myanmar.

Your growing climate

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

What grows in Nansang →

Regions with the most land like yours

  1. 1

    🇲🇲Shan State, Myanmar

    42k sq mi108k km² matching 80% or better

    For example Yawnghwe (99), Lawksawk (99)

  2. 2

    🇧🇷Minas Gerais, Brazil

    14k sq mi36k km² matching 80% or better

    For example Monte Alegre de Minas (83), Abaeté (81)

  3. 3

    🇲🇲Sagaing Region, Myanmar

    8,200 sq mi21k km² matching 80% or better

    For example Kyauktan (75), Mawlaik (74)

  4. 4

    🇲🇲Mandalay Region, Myanmar

    7,700 sq mi20k km² matching 80% or better

    For example Pyin Oo Lwin (98), Mogok (82)

  5. 5

    🇨🇳Yunnan, China

    6,100 sq mi16k km² matching 80% or better

    For example Mengmao (88), Zhefang (85)

  6. 6

    🇧🇷Goiás, Brazil

    4,900 sq mi13k km² matching 80% or better

    For example Orizona (80), Pires do Rio (79)

  7. 7

    🇹🇭Chiang Mai, Thailand

    4,200 sq mi11k km² matching 80% or better

    For example San Kamphaeng (70), Hang Dong (67)

  8. 8

    🇱🇦Bokeo, Laos

    3,900 sq mi10k km² matching 80% or better

    For example Ban Khoan (71), Ban Houakhoua (63)

  9. 9

    🇹🇭Nan, Thailand

    3,700 sq mi9,500 km² matching 80% or better

    For example Nan (62)

  10. 10

    🇹🇭Chiang Rai, Thailand

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

    For example Mae Sai (75), Mae Chan (74)

  11. 11

    🇱🇦Loungnamtha, Laos

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

    For example Muang Sing (80)

  12. 12

    🇱🇦Oudômxai, Laos

    2,200 sq mi5,800 km² matching 80% or better

    For example Muang Xay (77)

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

    🇲🇲YawnghweShan State, Myanmar

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

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

    99%match
  2. 2

    🇲🇲LawksawkShan State, Myanmar

    Zone 10b · No frost · 41 chill hours · 81 in rainZone 10b · No frost · 41 chill hours · 2,067 mm rain

    Shares 21 of your 23 great-fit crops

    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

    98%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

    98%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 19 of your 23 great-fit crops

    98%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 21 of your 23 great-fit crops

    97%match
  7. 7

    🇲🇲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 20 of your 23 great-fit crops

    94%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 22 of your 23 great-fit crops · Also great there: banana

    89%match
  9. 9

    🇲🇲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 19 of your 23 great-fit crops

    89%match
  10. 10

    🇲🇲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: banana

    88%match
  11. 11

    🇲🇲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 19 of your 23 great-fit crops

    86%match
  12. 12

    🇨🇳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 19 of your 23 great-fit crops

    85%match
  13. 13

    🇮🇳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
  14. 14

    🇲🇲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 20 of your 23 great-fit crops · Also great there: banana

    83%match
  15. 15

    🇲🇽Las RosasChiapas, Mexico

    Zone 11a · No frost · 0 chill hours · 52 in rainZone 11a · No frost · 0 chill hours · 1,317 mm rain

    Shares 22 of your 23 great-fit crops

    82%match
  16. 16

    🇲🇲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

    82%match
  17. 17

    🇲🇲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

    81%match
  18. 18

    🇧🇷Abaeté↻Seasons flipped. Minas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 50 in rainZone 11a · No frost · 0 chill hours · 1,262 mm rain

    Shares 21 of your 23 great-fit crops

    81%match
  19. 19

    🇨🇳YunjinghongYunnan, China

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

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

    81%match
  20. 20

    🇮🇳SaihaMizoram, India

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

    Shares 20 of your 23 great-fit crops · Also great there: banana

    81%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 Nansang: 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.