Climatch

Land with a climate like Mabai

🇨🇳Mabai, Yunnan, China

The towns with the closest growing climate to Mabai are Gejiu, China (93% match), Anlong and Xingren. About 84,000 sq mi of land in 7 countries matches 80% or better, most of it in Guizhou, China, Yunnan, China and São Paulo, Brazil.The towns with the closest growing climate to Mabai are Gejiu, China (93% match), Anlong and Xingren. About 218,000 km² of land in 7 countries matches 80% or better, most of it in Guizhou, China, Yunnan, China and São Paulo, Brazil.

Your growing climate

Zone 9b · 347 frost-free days · 457 chill hours · 60 in rainZone 9b · 347 frost-free days · 457 chill hours · 1,519 mm rain

What grows in Mabai →

Regions with the most land like yours

  1. 1

    🇨🇳Guizhou, China

    23k sq mi59k km² matching 80% or better

    For example Anlong (93), Xingren (90)

  2. 2

    🇨🇳Yunnan, China

    20k sq mi52k km² matching 80% or better

    For example Gejiu (93), Mengzi (86)

  3. 3

    🇧🇷São Paulo, Brazil

    4,900 sq mi13k km² matching 80% or better

    For example Cunha (84), Nazaré Paulista (83)

  4. 4

    🇮🇳Nagaland, India

    3,500 sq mi9,100 km² matching 80% or better

    For example Zunheboto (86), Wokha (82)

  5. 5

    🇨🇳Guangxi, China

    2,400 sq mi6,300 km² matching 80% or better

    For example Hechi (59)

  6. 6

    🇻🇳Tuyen Quang, Vietnam

    1,900 sq mi5,000 km² matching 80% or better

  7. 7

    🇮🇳Manipur, India

    1,900 sq mi4,900 km² matching 80% or better

    For example Ukhrul (82), Phek (77)

  8. 8

    🇻🇳Lao Cai, Vietnam

    1,700 sq mi4,300 km² matching 80% or better

  9. 9

    🇧🇷Rio de Janeiro, Brazil

    1,700 sq mi4,300 km² matching 80% or better

    For example Nova Friburgo (86), Teresópolis (81)

  10. 10

    🇻🇳Lai Châu Province, Vietnam

    1,700 sq mi4,300 km² matching 80% or better

    For example Lai Châu (77)

  11. 11

    🇧🇷Minas Gerais, Brazil

    1,400 sq mi3,600 km² matching 80% or better

    For example Extrema (84), Camanducaia (83)

  12. 12

    🇮🇳Assam, India

    500 sq mi1,400 km² matching 80% or better

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

    🇨🇳GejiuYunnan, China

    Zone 9b · 330 frost-free days · 623 chill hours · 44 in rainZone 9b · 330 frost-free days · 623 chill hours · 1,124 mm rain

    Shares 22 of your 26 great-fit crops · Also great there: wine grapes, almond, fig

    93%match
  2. 2

    🇨🇳AnlongGuizhou, China

    Zone 9a · 314 frost-free days · 834 chill hours · 48 in rainZone 9a · 314 frost-free days · 834 chill hours · 1,218 mm rain

    Shares 24 of your 26 great-fit crops · Also great there: fig, peanut, wine grapes

    93%match
  3. 3

    🇨🇳XingrenGuizhou, China

    Zone 9a · 314 frost-free days · 807 chill hours · 48 in rainZone 9a · 314 frost-free days · 807 chill hours · 1,225 mm rain

    Shares 24 of your 26 great-fit crops · Also great there: peanut, fig, wine grapes

    90%match
  4. 4

    🇧🇷Nova Friburgo↻Seasons flipped. Rio de Janeiro, Brazil

    Zone 10b · No frost · 82 chill hours · 53 in rainZone 10b · No frost · 82 chill hours · 1,358 mm rain

    Shares 17 of your 26 great-fit crops · Also great there: coffee (arabica), fig, peanut

    86%match
  5. 5

    🇨🇳XingyiGuizhou, China

    Zone 9b · 330 frost-free days · 534 chill hours · 46 in rainZone 9b · 330 frost-free days · 534 chill hours · 1,163 mm rain

    Shares 24 of your 26 great-fit crops · Also great there: peanut, fig, olive

    85%match
  6. 6

    🇨🇳LiuzhiGuizhou, China

    Zone 9a · 288 frost-free days · 1,222 chill hours · 44 in rainZone 9a · 288 frost-free days · 1,222 chill hours · 1,123 mm rain

    Shares 23 of your 26 great-fit crops · Also great there: fig, wine grapes, peanut

    84%match
  7. 7

    🇨🇳AnshunGuizhou, China

    Zone 9a · 285 frost-free days · 1,227 chill hours · 44 in rainZone 9a · 285 frost-free days · 1,227 chill hours · 1,113 mm rain

    Shares 23 of your 26 great-fit crops · Also great there: fig, peanut, wine grapes

    84%match
  8. 8

    🇧🇷Cunha↻Seasons flipped. São Paulo, Brazil

    Zone 10b · No frost · 107 chill hours · 56 in rainZone 10b · No frost · 107 chill hours · 1,425 mm rain

    Shares 17 of your 26 great-fit crops · Also great there: coffee (arabica), peanut, fig

    84%match
  9. 9

    🇨🇳GuiyangGuizhou, China

    Zone 9a · 295 frost-free days · 1,125 chill hours · 41 in rainZone 9a · 295 frost-free days · 1,125 chill hours · 1,049 mm rain

    Shares 23 of your 26 great-fit crops · Also great there: peanut, fig, olive

    83%match
  10. 10

    🇮🇳WokhaNagaland, India

    Zone 10a · 352 frost-free days · 291 chill hours · 77 in rainZone 10a · 352 frost-free days · 291 chill hours · 1,949 mm rain

    Shares 17 of your 26 great-fit crops

    82%match
  11. 11

    🇨🇳ZhongshuYunnan, China

    Zone 9b · 312 frost-free days · 772 chill hours · 36 in rainZone 9b · 312 frost-free days · 772 chill hours · 915 mm rain

    Shares 24 of your 26 great-fit crops · Also great there: almond, wine grapes, fig

    82%match
  12. 12

    🇨🇳DushanGuizhou, China

    Zone 8b · 276 frost-free days · 1,240 chill hours · 47 in rainZone 8b · 276 frost-free days · 1,240 chill hours · 1,192 mm rain

    Shares 23 of your 26 great-fit crops · Also great there: peanut, fig, olive

    82%match
  13. 13

    🇮🇳UkhrulManipur, India

    Zone 9b · 339 frost-free days · 481 chill hours · 78 in rainZone 9b · 339 frost-free days · 481 chill hours · 1,983 mm rain

    Shares 17 of your 26 great-fit crops

    82%match
  14. 14

    🇧🇷Teresópolis↻Seasons flipped. Rio de Janeiro, Brazil

    Zone 10b · No frost · 65 chill hours · 66 in rainZone 10b · No frost · 65 chill hours · 1,668 mm rain

    Shares 15 of your 26 great-fit crops · Also great there: coffee (arabica)

    81%match
  15. 15

    🇧🇷Piedade↻Seasons flipped. São Paulo, Brazil

    Zone 10b · No frost · 35 chill hours · 56 in rainZone 10b · No frost · 35 chill hours · 1,419 mm rain

    Shares 16 of your 26 great-fit crops · Also great there: coffee (arabica), peanut

    80%match
  16. 16

    🇧🇷Embu das Artes↻Seasons flipped. São Paulo, Brazil

    Zone 11a · No frost · 14 chill hours · 57 in rainZone 11a · No frost · 14 chill hours · 1,438 mm rain

    Shares 17 of your 26 great-fit crops · Also great there: coffee (arabica), peanut, fig

    80%match
  17. 17

    🇨🇳DuyunGuizhou, China

    Zone 8b · 284 frost-free days · 1,155 chill hours · 45 in rainZone 8b · 284 frost-free days · 1,155 chill hours · 1,145 mm rain

    Shares 23 of your 26 great-fit crops · Also great there: peanut, fig, olive

    79%match
  18. 18

    🇨🇳JietouYunnan, China

    Zone 9a · 311 frost-free days · 716 chill hours · 49 in rainZone 9a · 311 frost-free days · 716 chill hours · 1,252 mm rain

    Shares 24 of your 26 great-fit crops · Also great there: peanut, fig, wine grapes

    79%match
  19. 19

    🇳🇵Chari̇̄koṭBagmati Province, Nepal

    Zone 9b · 321 frost-free days · 652 chill hours · 85 in rainZone 9b · 321 frost-free days · 652 chill hours · 2,166 mm rain

    Shares 16 of your 26 great-fit crops

    79%match
  20. 20

    🇧🇷Ouro Preto↻Seasons flipped. Minas Gerais, Brazil

    Zone 10b · No frost · 70 chill hours · 57 in rainZone 10b · No frost · 70 chill hours · 1,459 mm rain

    Shares 15 of your 26 great-fit crops · Also great there: coffee (arabica)

    79%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 Mabai: 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.