Climatch

Land with a climate like Serra Negra

🇧🇷Serra Negra, São Paulo, Brazil

The towns with the closest growing climate to Serra Negra are Botucatu, Brazil (99% match), Itajubá and Barbacena. About 288,000 sq mi of land in 23 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Yunnan, China.The towns with the closest growing climate to Serra Negra are Botucatu, Brazil (99% match), Itajubá and Barbacena. About 747,000 km² of land in 23 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Yunnan, China.

Your growing climate

Zone 10b · No frost · 45 chill hours · 54 in rainZone 10b · No frost · 45 chill hours · 1,368 mm rain

What grows in Serra Negra →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    72k sq mi186k km² matching 80% or better

    For example Paraisópolis (99), Itajubá (99)

  2. 2

    🇧🇷São Paulo, Brazil

    51k sq mi133k km² matching 80% or better

    For example Itatinga (99), Botucatu (99)

  3. 3

    🇨🇳Yunnan, China

    35k sq mi90k km² matching 80% or better

    For example Mengzi (89), Ning’er (86)

  4. 4

    🇧🇷Paraná, Brazil

    26k sq mi68k km² matching 80% or better

    For example Arapoti (92), Wenceslau Braz (92)

  5. 5

    🇿🇦KwaZulu-Natal, South Africa

    9,900 sq mi26k km² matching 80% or better

    For example Eshowe (90), Mpumalanga (88)

  6. 6

    🇿🇦Eastern Cape, South Africa

    5,800 sq mi15k km² matching 80% or better

    For example Mdantsane (82), East London (80)

  7. 7

    🇮🇳Nagaland, India

    4,800 sq mi13k km² matching 80% or better

    For example Kohima (86), Wokha (85)

  8. 8

    🇱🇦Xiangkhoang, Laos

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

    For example Muang Phônsavan (73)

  9. 9

    🇻🇳Lai Châu Province, Vietnam

    2,200 sq mi5,700 km² matching 80% or better

    For example Lai Châu (84)

  10. 10

    🇮🇳Manipur, India

    2,200 sq mi5,600 km² matching 80% or better

    For example Phek (82), Ukhrul (79)

  11. 11

    🇧🇴Santa Cruz Department, Bolivia

    2,000 sq mi5,200 km² matching 80% or better

  12. 12

    🇲🇲Shan State, Myanmar

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

    For example Kutkai (75), Panglong (75)

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

    🇧🇷BotucatuSão Paulo, Brazil

    Zone 11a · No frost · 13 chill hours · 51 in rainZone 11a · No frost · 13 chill hours · 1,306 mm rain

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

    99%match
  2. 2

    🇧🇷ItajubáMinas Gerais, Brazil

    Zone 10b · No frost · 87 chill hours · 57 in rainZone 10b · No frost · 87 chill hours · 1,449 mm rain

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

    99%match
  3. 3

    🇧🇷BarbacenaMinas Gerais, Brazil

    Zone 11a · No frost · 8 chill hours · 56 in rainZone 11a · No frost · 8 chill hours · 1,430 mm rain

    Shares 20 of your 20 great-fit crops

    98%match
  4. 4

    🇧🇷Poços de CaldasMinas Gerais, Brazil

    Zone 10b · No frost · 73 chill hours · 64 in rainZone 10b · No frost · 73 chill hours · 1,637 mm rain

    Shares 17 of your 20 great-fit crops

    98%match
  5. 5

    🇧🇷MuzambinhoMinas Gerais, Brazil

    Zone 10b · No frost · 48 chill hours · 59 in rainZone 10b · No frost · 48 chill hours · 1,497 mm rain

    Shares 19 of your 20 great-fit crops

    98%match
  6. 6

    🇧🇷Pouso AlegreMinas Gerais, Brazil

    Zone 10b · No frost · 31 chill hours · 59 in rainZone 10b · No frost · 31 chill hours · 1,502 mm rain

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

    97%match
  7. 7

    🇧🇷AvaréSão Paulo, Brazil

    Zone 11a · No frost · 8 chill hours · 49 in rainZone 11a · No frost · 8 chill hours · 1,233 mm rain

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

    97%match
  8. 8

    🇧🇷BoituvaSão Paulo, Brazil

    Zone 11a · No frost · 2 chill hours · 45 in rainZone 11a · No frost · 2 chill hours · 1,132 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: wine grapes, sugarcane, cassava

    97%match
  9. 9

    🇧🇷ItapetiningaSão Paulo, Brazil

    Zone 11a · No frost · 12 chill hours · 46 in rainZone 11a · No frost · 12 chill hours · 1,172 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: wine grapes, sugarcane, banana

    97%match
  10. 10

    🇧🇷CunhaSão Paulo, Brazil

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

    Shares 20 of your 20 great-fit crops

    97%match
  11. 11

    🇧🇷Dois CórregosSão Paulo, Brazil

    Zone 11a · No frost · 3 chill hours · 49 in rainZone 11a · No frost · 3 chill hours · 1,253 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: sugarcane, cassava, mango

    96%match
  12. 12

    🇧🇷São CarlosSão Paulo, Brazil

    Zone 11a · No frost · 2 chill hours · 54 in rainZone 11a · No frost · 2 chill hours · 1,369 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: sugarcane, cassava, banana

    96%match
  13. 13

    🇧🇷SorocabaSão Paulo, Brazil

    Zone 11a · No frost · 2 chill hours · 47 in rainZone 11a · No frost · 2 chill hours · 1,196 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: wine grapes, banana, sugarcane

    96%match
  14. 14

    🇧🇷Carmo do Rio ClaroMinas Gerais, Brazil

    Zone 10b · No frost · 25 chill hours · 60 in rainZone 10b · No frost · 25 chill hours · 1,523 mm rain

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

    96%match
  15. 15

    🇧🇷São LourençoMinas Gerais, Brazil

    Zone 10a · Frost 1 years in 10 · 159 chill hours · 57 in rainZone 10a · Frost 1 years in 10 · 159 chill hours · 1,452 mm rain

    Shares 19 of your 20 great-fit crops

    96%match
  16. 16

    🇧🇷Três PontasMinas Gerais, Brazil

    Zone 10b · No frost · 56 chill hours · 56 in rainZone 10b · No frost · 56 chill hours · 1,418 mm rain

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

    96%match
  17. 17

    🇧🇷São PauloBrazil

    Zone 11a · No frost · 1 chill hours · 54 in rainZone 11a · No frost · 1 chill hours · 1,380 mm rain

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

    96%match
  18. 18

    🇧🇷LavrasMinas Gerais, Brazil

    Zone 10b · No frost · 18 chill hours · 60 in rainZone 10b · No frost · 18 chill hours · 1,514 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: sugarcane, mango, cassava

    96%match
  19. 19

    🇧🇷Ouro PretoMinas Gerais, Brazil

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

    Shares 16 of your 20 great-fit crops

    95%match
  20. 20

    🇧🇷São Sebastião do ParaísoMinas Gerais, Brazil

    Zone 11a · No frost · 5 chill hours · 61 in rainZone 11a · No frost · 5 chill hours · 1,559 mm rain

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

    95%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 Serra Negra: 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.