Climatch

Land with a climate like Iperó

🇧🇷Iperó, São Paulo, Brazil

The towns with the closest growing climate to Iperó are Angatuba, Brazil (99% match), São José dos Campos and Amparo. About 352,000 sq mi of land in 14 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 Iperó are Angatuba, Brazil (99% match), São José dos Campos and Amparo. About 912,000 km² of land in 14 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 · 2 chill hours · 44 in rainZone 11a · No frost · 2 chill hours · 1,114 mm rain

What grows in Iperó →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    86k sq mi223k km² matching 80% or better

    For example Monte Sião (97), Cambuí (97)

  2. 2

    🇧🇷São Paulo, Brazil

    75k sq mi195k km² matching 80% or better

    For example Louveira (99), Jundiaí (99)

  3. 3

    🇧🇷Paraná, Brazil

    38k sq mi99k km² matching 80% or better

    For example Wenceslau Braz (96), Sengés (96)

  4. 4

    🇿🇦KwaZulu-Natal, South Africa

    14k sq mi37k km² matching 80% or better

    For example Pinetown (93), KwaDukuza (93)

  5. 5

    🇨🇳Yunnan, China

    9,700 sq mi25k km² matching 80% or better

    For example Mengzi (84), Kaiyuan (83)

  6. 6

    🇻🇳Điện Biên Province, Vietnam

    6,100 sq mi16k km² matching 80% or better

    For example Mường Lay (69), Dien Bien Phu (61)

  7. 7

    🇻🇳Sơn La Province, Vietnam

    3,900 sq mi10k km² matching 80% or better

    For example Chiềng Cơi (85), Thị Trấn Thuận Châu (84)

  8. 8

    🇱🇦Houaphan, Laos

    3,600 sq mi9,400 km² matching 80% or better

    For example Xam Nua (83)

  9. 9

    🇿🇦Eastern Cape, South Africa

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

    For example East London (83), Gonubie (82)

  10. 10

    🇱🇦Xiangkhoang, Laos

    2,800 sq mi7,300 km² matching 80% or better

    For example Muang Phônsavan (75)

  11. 11

    🇧🇴Santa Cruz Department, Bolivia

    2,300 sq mi5,900 km² matching 80% or better

    For example El Torno (63), Warnes (50)

  12. 12

    🇻🇳Nghệ An Province, Vietnam

    2,300 sq mi5,800 km² matching 80% or better

    For example Bản Na Hỷ (67)

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

    🇧🇷AngatubaSão Paulo, Brazil

    Zone 11a · No frost · 5 chill hours · 47 in rainZone 11a · No frost · 5 chill hours · 1,187 mm rain

    Shares 23 of your 23 great-fit crops

    99%match
  2. 2

    🇧🇷São José dos CamposSão Paulo, Brazil

    Zone 11a · No frost · 2 chill hours · 49 in rainZone 11a · No frost · 2 chill hours · 1,244 mm rain

    Shares 23 of your 23 great-fit crops

    99%match
  3. 3

    🇧🇷AmparoSão Paulo, Brazil

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

    Shares 23 of your 23 great-fit crops

    99%match
  4. 4

    🇧🇷CampinasSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 49 in rainZone 11a · No frost · 0 chill hours · 1,256 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: mango

    99%match
  5. 5

    🇧🇷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 23 great-fit crops · Also great there: tea

    99%match
  6. 6

    🇧🇷AtibaiaSão Paulo, Brazil

    Zone 11a · No frost · 13 chill hours · 51 in rainZone 11a · No frost · 13 chill hours · 1,283 mm rain

    Shares 20 of your 23 great-fit crops · Also great there: tea

    99%match
  7. 7

    🇧🇷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 23 great-fit crops · Also great there: tea

    99%match
  8. 8

    🇧🇷PindamonhangabaSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 50 in rainZone 11a · No frost · 0 chill hours · 1,268 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: mango

    98%match
  9. 9

    🇧🇷AvaréSão Paulo, Brazil

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

    Shares 23 of your 23 great-fit crops

    98%match
  10. 10

    🇧🇷MaríliaSão Paulo, Brazil

    Zone 11a · No frost · 4 chill hours · 50 in rainZone 11a · No frost · 4 chill hours · 1,273 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: mango

    98%match
  11. 11

    🇧🇷São PedroSão Paulo, Brazil

    Zone 11a · No frost · 1 chill hours · 50 in rainZone 11a · No frost · 1 chill hours · 1,277 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: mango

    98%match
  12. 12

    🇧🇷Barra MansaRio de Janeiro, Brazil

    Zone 11a · No frost · 1 chill hours · 54 in rainZone 11a · No frost · 1 chill hours · 1,374 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: mango

    98%match
  13. 13

    🇧🇷Mogi GuaçuSão Paulo, Brazil

    Zone 11a · No frost · 4 chill hours · 52 in rainZone 11a · No frost · 4 chill hours · 1,329 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: mango

    97%match
  14. 14

    🇧🇷LimeiraSão Paulo, Brazil

    Zone 11a · No frost · 2 chill hours · 49 in rainZone 11a · No frost · 2 chill hours · 1,239 mm rain

    Shares 20 of your 23 great-fit crops · Also great there: mango

    97%match
  15. 15

    🇧🇷ItatiaiaRio de Janeiro, Brazil

    Zone 11a · No frost · 4 chill hours · 59 in rainZone 11a · No frost · 4 chill hours · 1,493 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: mango, tea

    97%match
  16. 16

    🇧🇷PirajuSão Paulo, Brazil

    Zone 11a · No frost · 4 chill hours · 49 in rainZone 11a · No frost · 4 chill hours · 1,245 mm rain

    Shares 22 of your 23 great-fit crops

    97%match
  17. 17

    🇧🇷CambuíMinas Gerais, Brazil

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

    Shares 19 of your 23 great-fit crops · Also great there: tea

    97%match
  18. 18

    🇧🇷AgudosSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 45 in rainZone 11a · No frost · 0 chill hours · 1,147 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: mango

    97%match
  19. 19

    🇧🇷Lençóis PaulistaSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 47 in rainZone 11a · No frost · 0 chill hours · 1,185 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: mango

    97%match
  20. 20

    🇧🇷JaúSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 49 in rainZone 11a · No frost · 0 chill hours · 1,243 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: mango

    97%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 Iperó: 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.