Climatch

Land with a climate like Extrema

🇧🇷Extrema, Minas Gerais, Brazil

The towns with the closest growing climate to Extrema are Cunha, Brazil (99% match), Paraibuna and Passa Quatro. About 228,000 sq mi of land in 18 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Paraná, Brazil.The towns with the closest growing climate to Extrema are Cunha, Brazil (99% match), Paraibuna and Passa Quatro. About 591,000 km² of land in 18 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Paraná, Brazil.

Your growing climate

Zone 10b · No frost · 79 chill hours · 56 in rainZone 10b · No frost · 79 chill hours · 1,423 mm rain

What grows in Extrema →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    57k sq mi147k km² matching 80% or better

    For example Passa Quatro (97), Ouro Preto (97)

  2. 2

    🇧🇷São Paulo, Brazil

    39k sq mi100k km² matching 80% or better

    For example Cunha (99), Cajamar (99)

  3. 3

    🇧🇷Paraná, Brazil

    36k sq mi94k km² matching 80% or better

    For example Jaguariaíva (93), Arapoti (93)

  4. 4

    🇨🇳Yunnan, China

    24k sq mi61k km² matching 80% or better

    For example Wenshan City (88), Kaihua (88)

  5. 5

    🇮🇳Nagaland, India

    5,100 sq mi13k km² matching 80% or better

    For example Zunheboto (87), Wokha (86)

  6. 6

    🇮🇳Manipur, India

    2,700 sq mi7,000 km² matching 80% or better

    For example Ukhrul (84), Phek (83)

  7. 7

    🇵🇪San Martín Department, Peru

    2,700 sq mi6,900 km² matching 80% or better

  8. 8

    🇿🇦KwaZulu-Natal, South Africa

    2,300 sq mi6,100 km² matching 80% or better

    For example Eshowe (85), Mpumalanga (83)

  9. 9

    🇨🇩South Kivu, Democratic Republic of the Congo

    1,800 sq mi4,600 km² matching 80% or better

    For example Kabare (84), Bukavu (74)

  10. 10

    🇵🇪Amazonas, Peru

    1,800 sq mi4,600 km² matching 80% or better

    For example Chachapoyas (80)

  11. 11

    🇻🇳Lai Châu Province, Vietnam

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

    For example Lai Châu (82)

  12. 12

    🇵🇪Junin, Peru

    1,500 sq mi3,800 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

    🇧🇷CunhaSão Paulo, Brazil

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

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

    99%match
  2. 2

    🇧🇷ParaibunaSão Paulo, Brazil

    Zone 11a · No frost · 15 chill hours · 53 in rainZone 11a · No frost · 15 chill hours · 1,340 mm rain

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

    98%match
  3. 3

    🇧🇷Passa QuatroMinas Gerais, Brazil

    Zone 10a · Frost 2 years in 10 · 190 chill hours · 56 in rainZone 10a · Frost 2 years in 10 · 190 chill hours · 1,417 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: peanut, fig

    97%match
  4. 4

    🇧🇷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 18 great-fit crops

    97%match
  5. 5

    🇧🇷Nova FriburgoRio de Janeiro, Brazil

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

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

    97%match
  6. 6

    🇧🇷Mogi das CruzesSão Paulo, Brazil

    Zone 11a · No frost · 14 chill hours · 59 in rainZone 11a · No frost · 14 chill hours · 1,499 mm rain

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

    97%match
  7. 7

    🇧🇷ItajubáMinas Gerais, Brazil

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

    Shares 18 of your 18 great-fit crops · Also great there: peanut, fig, sugarcane

    96%match
  8. 8

    🇧🇷São PauloBrazil

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

    Shares 18 of your 18 great-fit crops · Also great there: peanut, fig, banana

    96%match
  9. 9

    🇧🇷Araçoiaba da SerraSão Paulo, Brazil

    Zone 11a · No frost · 7 chill hours · 44 in rainZone 11a · No frost · 7 chill hours · 1,120 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: peanut, fig, wine grapes

    96%match
  10. 10

    🇧🇷ItapetiningaSão Paulo, Brazil

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

    Shares 17 of your 18 great-fit crops · Also great there: peanut, fig, wine grapes

    96%match
  11. 11

    🇧🇷BotucatuSão Paulo, Brazil

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

    Shares 18 of your 18 great-fit crops · Also great there: peanut, fig, banana

    96%match
  12. 12

    🇧🇷CabreúvaSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 48 in rainZone 11a · No frost · 0 chill hours · 1,222 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: peanut, fig, wine grapes

    96%match
  13. 13

    🇧🇷BarbacenaMinas Gerais, Brazil

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

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

    95%match
  14. 14

    🇧🇷PetrópolisRio de Janeiro, Brazil

    Zone 10b · No frost · 29 chill hours · 70 in rainZone 10b · No frost · 29 chill hours · 1,789 mm rain

    Shares 18 of your 18 great-fit crops

    95%match
  15. 15

    🇧🇷São José do Vale do Rio PretoRio de Janeiro, Brazil

    Zone 11a · No frost · 9 chill hours · 58 in rainZone 11a · No frost · 9 chill hours · 1,462 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: peanut, banana, sugarcane

    94%match
  16. 16

    🇧🇷Capão BonitoSão Paulo, Brazil

    Zone 10b · No frost · 40 chill hours · 49 in rainZone 10b · No frost · 40 chill hours · 1,246 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: peanut, fig, wine grapes

    94%match
  17. 17

    🇧🇷SorocabaSão Paulo, Brazil

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

    Shares 17 of your 18 great-fit crops · Also great there: peanut, fig, wine grapes

    94%match
  18. 18

    🇧🇷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 18 great-fit crops

    94%match
  19. 19

    🇧🇷Espírito Santo do PinhalSão Paulo, Brazil

    Zone 11a · No frost · 15 chill hours · 58 in rainZone 11a · No frost · 15 chill hours · 1,470 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: peanut, sugarcane, banana

    94%match
  20. 20

    🇧🇷JaguariaívaParaná, Brazil

    Zone 10a · Frost 1 years in 10 · 164 chill hours · 53 in rainZone 10a · Frost 1 years in 10 · 164 chill hours · 1,344 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: peanut, fig

    93%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 Extrema: 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.