Climatch

Land with a climate like Santa Isabel, Brazil

🇧🇷Santa Isabel, São Paulo, Brazil

The towns with the closest growing climate to Santa Isabel, Brazil are Cotia, Brazil (99% match), Sorocaba and Itapetininga. About 231,000 sq mi of land in 12 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 Santa Isabel, Brazil are Cotia, Brazil (99% match), Sorocaba and Itapetininga. About 598,000 km² of land in 12 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Paraná, Brazil.

Your growing climate

Zone 11a · No frost · 5 chill hours · 52 in rainZone 11a · No frost · 5 chill hours · 1,330 mm rain

What grows in Santa Isabel, Brazil →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    53k sq mi136k km² matching 80% or better

    For example Cambuí (96), Juiz de Fora (95)

  2. 2

    🇧🇷São Paulo, Brazil

    48k sq mi124k km² matching 80% or better

    For example Pirapora do Bom Jesus (99), Araçariguama (99)

  3. 3

    🇧🇷Paraná, Brazil

    41k sq mi107k km² matching 80% or better

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

  4. 4

    🇨🇳Yunnan, China

    7,400 sq mi19k km² matching 80% or better

    For example Wenshan City (84), Kaihua (84)

  5. 5

    🇿🇦KwaZulu-Natal, South Africa

    4,400 sq mi11k km² matching 80% or better

    For example KwaDukuza (84), Pinetown (84)

  6. 6

    🇻🇳Tuyen Quang, Vietnam

    2,800 sq mi7,100 km² matching 80% or better

    For example Bắc Quang (63), Thị Trấn Việt Quang (51)

  7. 7

    🇻🇳Cao Bằng Province, Vietnam

    2,800 sq mi7,100 km² matching 80% or better

    For example Thị Trấn Trùng Khánh (73), Cao Bằng (63)

  8. 8

    🇱🇦Houaphan, Laos

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

    For example Xam Nua (80)

  9. 9

    🇻🇳Lai Châu Province, Vietnam

    2,500 sq mi6,400 km² matching 80% or better

    For example Lai Châu (87)

  10. 10

    🇵🇪San Martín Department, Peru

    1,500 sq mi3,800 km² matching 80% or better

  11. 11

    🇵🇪Amazonas, Peru

    1,200 sq mi3,100 km² matching 80% or better

    For example Chachapoyas (60), La Peca (60)

  12. 12

    🇲🇬Alaotra Mangoro, Madagascar

    1,100 sq mi2,900 km² matching 80% or better

    For example Moramanga (78), Didy (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

    🇧🇷CotiaSão Paulo, Brazil

    Zone 11a · No frost · 20 chill hours · 55 in rainZone 11a · No frost · 20 chill hours · 1,398 mm rain

    Shares 20 of your 21 great-fit crops

    99%match
  2. 2

    🇧🇷SorocabaSão Paulo, Brazil

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

    Shares 20 of your 21 great-fit crops · Also great there: wine grapes, sugarcane, cassava

    99%match
  3. 3

    🇧🇷ItapetiningaSão Paulo, Brazil

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

    Shares 20 of your 21 great-fit crops · Also great there: wine grapes, sugarcane

    99%match
  4. 4

    🇧🇷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 21 of your 21 great-fit crops · Also great there: sugarcane, cassava

    99%match
  5. 5

    🇧🇷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 19 of your 21 great-fit crops · Also great there: wine grapes

    98%match
  6. 6

    🇧🇷AmparoSão Paulo, Brazil

    Zone 11a · No frost · 7 chill hours · 49 in rainZone 11a · No frost · 7 chill hours · 1,242 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: sugarcane, wine grapes, cassava

    97%match
  7. 7

    🇧🇷CambuíMinas Gerais, Brazil

    Zone 10b · No frost · 58 chill hours · 57 in rainZone 10b · No frost · 58 chill hours · 1,460 mm rain

    Shares 20 of your 21 great-fit crops

    96%match
  8. 8

    🇧🇷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 21 great-fit crops

    96%match
  9. 9

    🇧🇷PiraíRio de Janeiro, Brazil

    Zone 11a · No frost · 2 chill hours · 53 in rainZone 11a · No frost · 2 chill hours · 1,337 mm rain

    Shares 21 of your 21 great-fit crops · Also great there: sugarcane, cassava, mango

    95%match
  10. 10

    🇧🇷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 20 of your 21 great-fit crops

    95%match
  11. 11

    🇧🇷ItapevaSão Paulo, Brazil

    Zone 10b · No frost · 59 chill hours · 48 in rainZone 10b · No frost · 59 chill hours · 1,223 mm rain

    Shares 19 of your 21 great-fit crops · Also great there: wine grapes

    95%match
  12. 12

    🇧🇷Santa Maria de JetibáEspírito Santo, Brazil

    Zone 11a · No frost · 1 chill hours · 48 in rainZone 11a · No frost · 1 chill hours · 1,215 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: sugarcane, wine grapes, cassava

    95%match
  13. 13

    🇧🇷Juiz de ForaMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 54 in rainZone 11a · No frost · 0 chill hours · 1,384 mm rain

    Shares 19 of your 21 great-fit crops · Also great there: sugarcane, cassava, mango

    95%match
  14. 14

    🇧🇷Marechal FlorianoEspírito Santo, Brazil

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

    Shares 20 of your 21 great-fit crops · Also great there: sugarcane, wine grapes, cassava

    95%match
  15. 15

    🇧🇷Lima DuarteMinas Gerais, Brazil

    Zone 11a · No frost · 5 chill hours · 52 in rainZone 11a · No frost · 5 chill hours · 1,327 mm rain

    Shares 19 of your 21 great-fit crops · Also great there: sugarcane, cassava

    94%match
  16. 16

    🇧🇷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 21 great-fit crops

    94%match
  17. 17

    🇧🇷Vargem AltaEspírito Santo, Brazil

    Zone 11a · No frost · 0 chill hours · 46 in rainZone 11a · No frost · 0 chill hours · 1,180 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: sugarcane, cassava, wine grapes

    94%match
  18. 18

    🇧🇷Santos DumontMinas Gerais, Brazil

    Zone 11a · No frost · 5 chill hours · 61 in rainZone 11a · No frost · 5 chill hours · 1,548 mm rain

    Shares 19 of your 21 great-fit crops · Also great there: sugarcane

    94%match
  19. 19

    🇧🇷BotucatuSão Paulo, Brazil

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

    Shares 21 of your 21 great-fit crops · Also great there: sugarcane

    94%match
  20. 20

    🇧🇷TaubatéSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 50 in rainZone 11a · No frost · 0 chill hours · 1,258 mm rain

    Shares 19 of your 21 great-fit crops · Also great there: sugarcane, cassava, mango

    94%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 Santa Isabel, Brazil: 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.