Climatch

Land with a climate like Yunjinghong

🇨🇳Yunjinghong, Yunnan, China

The towns with the closest growing climate to Yunjinghong are Möng Yawng, Myanmar (99% match), Mengla and Kēng Tung. About 568,000 sq mi of land in 24 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, São Paulo, Brazil and Shan State, Myanmar.The towns with the closest growing climate to Yunjinghong are Möng Yawng, Myanmar (99% match), Mengla and Kēng Tung. About 1.5 million km² of land in 24 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, São Paulo, Brazil and Shan State, Myanmar.

Your growing climate

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

What grows in Yunjinghong →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso do Sul, Brazil

    83k sq mi216k km² matching 80% or better

    For example Três Lagoas (90), Aparecida do Taboado (89)

  2. 2

    🇧🇷São Paulo, Brazil

    50k sq mi128k km² matching 80% or better

    For example Andradina (92), Castilho (92)

  3. 3

    🇲🇲Shan State, Myanmar

    29k sq mi76k km² matching 80% or better

    For example Möng Yawng (99), Möng La (99)

  4. 4

    🇲🇿Zambezia Province, Mozambique

    26k sq mi68k km² matching 80% or better

    For example Alto Molocue (92), Gurúè (91)

  5. 5

    🇧🇴Santa Cruz Department, Bolivia

    19k sq mi48k km² matching 80% or better

    For example El Torno (90), Cotoca (85)

  6. 6

    🇲🇿Sofala, Mozambique

    18k sq mi45k km² matching 80% or better

    For example Gorongosa (92), Dondo (88)

  7. 7

    🇧🇷Mato Grosso, Brazil

    16k sq mi42k km² matching 80% or better

    For example Poconé (80), Lucas (79)

  8. 8

    🇨🇳Yunnan, China

    13k sq mi34k km² matching 80% or better

    For example Mengla (99), Shangyun (94)

  9. 9

    🇲🇲Sagaing Region, Myanmar

    12k sq mi30k km² matching 80% or better

    For example Kyauktan (80), Tatkon (80)

  10. 10

    🇵🇾Concepción, Paraguay

    11k sq mi28k km² matching 80% or better

    For example Concepción (84), Yby Yaú (82)

  11. 11

    🇲🇲Kachin State, Myanmar

    11k sq mi27k km² matching 80% or better

    For example Bhamo (89), Lakang (89)

  12. 12

    🇺🇸Florida, United States

    10k sq mi26k km² matching 80% or better

    For example Immokalee (86), Golden Gate (85)

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

    🇲🇲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 21 of your 24 great-fit crops

    99%match
  2. 2

    🇨🇳MenglaYunnan, China

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

    Shares 23 of your 24 great-fit crops

    99%match
  3. 3

    🇲🇲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 23 of your 24 great-fit crops

    99%match
  4. 4

    🇱🇦Muang SingLoungnamtha, Laos

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

    Shares 21 of your 24 great-fit crops

    99%match
  5. 5

    🇲🇲PangkhamShan State, Myanmar

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

    Shares 23 of your 24 great-fit crops

    97%match
  6. 6

    🇨🇳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 24 great-fit crops

    94%match
  7. 7

    🇱🇦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 24 great-fit crops

    94%match
  8. 8

    🇲🇿Gorongosa↻Seasons flipped. Sofala, Mozambique

    Zone 11a · No frost · 0 chill hours · 43 in rainZone 11a · No frost · 0 chill hours · 1,098 mm rain

    Shares 19 of your 24 great-fit crops

    92%match
  9. 9

    🇲🇿Alto Molocue↻Seasons flipped. Zambezia Province, Mozambique

    Zone 11a · No frost · 0 chill hours · 50 in rainZone 11a · No frost · 0 chill hours · 1,270 mm rain

    Shares 21 of your 24 great-fit crops

    92%match
  10. 10

    🇲🇲HsipawShan State, Myanmar

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

    Shares 20 of your 24 great-fit crops

    92%match
  11. 11

    🇧🇷Ilha Solteira↻Seasons flipped. São Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 48 in rainZone 11b · No frost · 0 chill hours · 1,217 mm rain

    Shares 22 of your 24 great-fit crops

    91%match
  12. 12

    🇲🇿Gurúè↻Seasons flipped. Zambezia Province, Mozambique

    Zone 11a · No frost · 0 chill hours · 71 in rainZone 11a · No frost · 0 chill hours · 1,804 mm rain

    Shares 22 of your 24 great-fit crops

    91%match
  13. 13

    🇧🇷Três Lagoas↻Seasons flipped. Mato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 49 in rainZone 11b · No frost · 0 chill hours · 1,241 mm rain

    Shares 21 of your 24 great-fit crops

    90%match
  14. 14

    🇧🇷Dracena↻Seasons flipped. São Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 47 in rainZone 11b · No frost · 0 chill hours · 1,201 mm rain

    Shares 22 of your 24 great-fit crops

    90%match
  15. 15

    🇲🇲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 24 great-fit crops

    90%match
  16. 16

    🇧🇷Araçatuba↻Seasons flipped. São Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 48 in rainZone 11a · No frost · 0 chill hours · 1,213 mm rain

    Shares 21 of your 24 great-fit crops

    90%match
  17. 17

    🇧🇴El Torno↻Seasons flipped. Santa Cruz Department, Bolivia

    Zone 11b · No frost · 0 chill hours · 43 in rainZone 11b · No frost · 0 chill hours · 1,086 mm rain

    Shares 21 of your 24 great-fit crops

    90%match
  18. 18

    🇲🇲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 24 great-fit crops

    90%match
  19. 19

    🇧🇷Mirandópolis↻Seasons flipped. São Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 45 in rainZone 11a · No frost · 0 chill hours · 1,144 mm rain

    Shares 21 of your 24 great-fit crops

    90%match
  20. 20

    🇧🇷Adamantina↻Seasons flipped. São Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 46 in rainZone 11a · No frost · 0 chill hours · 1,160 mm rain

    Shares 21 of your 24 great-fit crops

    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 Yunjinghong: 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.