Climatch

Land with a climate like Águas de Lindóia

🇧🇷Águas de Lindóia, São Paulo, Brazil

The towns with the closest growing climate to Águas de Lindóia are Botucatu, Brazil (99% match), Itajubá and Pouso Alegre. About 368,000 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 Águas de Lindóia are Botucatu, Brazil (99% match), Itajubá and Pouso Alegre. About 953,000 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 11a · No frost · 16 chill hours · 54 in rainZone 11a · No frost · 16 chill hours · 1,371 mm rain

What grows in Águas de Lindóia →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    91k sq mi235k km² matching 80% or better

    For example Paraisópolis (99), Itajubá (99)

  2. 2

    🇧🇷São Paulo, Brazil

    66k sq mi171k km² matching 80% or better

    For example Itirapina (99), Botucatu (99)

  3. 3

    🇨🇳Yunnan, China

    37k sq mi96k km² matching 80% or better

    For example Mengzi (89), Pu'er (88)

  4. 4

    🇧🇷Paraná, Brazil

    26k sq mi68k km² matching 80% or better

    For example Wenceslau Braz (94), Sengés (93)

  5. 5

    🇿🇦KwaZulu-Natal, South Africa

    12k sq mi32k km² matching 80% or better

    For example Eshowe (91), Pinetown (88)

  6. 6

    🇲🇲Shan State, Myanmar

    8,300 sq mi21k km² matching 80% or better

    For example Panglong (80), Kutkai (77)

  7. 7

    🇻🇳Điện Biên Province, Vietnam

    5,300 sq mi14k km² matching 80% or better

    For example Mường Lay (59), Dien Bien Phu (54)

  8. 8

    🇿🇦Eastern Cape, South Africa

    4,300 sq mi11k km² matching 80% or better

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

  9. 9

    🇱🇦Xiangkhoang, Laos

    4,200 sq mi11k km² matching 80% or better

    For example Muang Phônsavan (81)

  10. 10

    🇮🇳Nagaland, India

    4,000 sq mi10k km² matching 80% or better

    For example Mokokchūng (86), Kohima (86)

  11. 11

    🇮🇳Manipur, India

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

    For example Phek (84), Churāchāndpur (79)

  12. 12

    🇱🇦Houaphan, Laos

    3,100 sq mi8,000 km² matching 80% or better

    For example Xam Nua (82)

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 22 of your 22 great-fit crops

    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 21 of your 22 great-fit crops

    99%match
  3. 3

    🇧🇷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 21 of your 22 great-fit crops · Also great there: mango

    99%match
  4. 4

    🇧🇷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 20 of your 22 great-fit crops · Also great there: cassava, mango

    99%match
  5. 5

    🇧🇷JundiaíSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 50 in rainZone 11a · No frost · 0 chill hours · 1,259 mm rain

    Shares 21 of your 22 great-fit crops · Also great there: cassava, wine grapes

    99%match
  6. 6

    🇧🇷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 22 of your 22 great-fit crops · Also great there: cassava, mango

    99%match
  7. 7

    🇧🇷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 21 of your 22 great-fit crops · Also great there: mango

    99%match
  8. 8

    🇧🇷AvaréSão Paulo, Brazil

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

    Shares 21 of your 22 great-fit crops · Also great there: cassava, wine grapes

    99%match
  9. 9

    🇧🇷São Gonçalo do SapucaíMinas Gerais, Brazil

    Zone 10b · No frost · 63 chill hours · 57 in rainZone 10b · No frost · 63 chill hours · 1,444 mm rain

    Shares 21 of your 22 great-fit crops

    99%match
  10. 10

    🇧🇷Campos GeraisMinas Gerais, Brazil

    Zone 10b · No frost · 39 chill hours · 57 in rainZone 10b · No frost · 39 chill hours · 1,445 mm rain

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

    99%match
  11. 11

    🇧🇷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 21 of your 22 great-fit crops · Also great there: cassava, mango

    98%match
  12. 12

    🇧🇷LavrasMinas Gerais, Brazil

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

    Shares 20 of your 22 great-fit crops · Also great there: mango, cassava

    98%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 20 of your 22 great-fit crops

    98%match
  14. 14

    🇧🇷AngatubaSão Paulo, Brazil

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

    Shares 21 of your 22 great-fit crops · Also great there: wine grapes, cassava

    98%match
  15. 15

    🇧🇷Campo BeloMinas Gerais, Brazil

    Zone 10b · No frost · 24 chill hours · 58 in rainZone 10b · No frost · 24 chill hours · 1,481 mm rain

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

    98%match
  16. 16

    🇧🇷AlfenasMinas Gerais, Brazil

    Zone 10b · No frost · 38 chill hours · 59 in rainZone 10b · No frost · 38 chill hours · 1,491 mm rain

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

    98%match
  17. 17

    🇧🇷MaríliaSão Paulo, Brazil

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

    Shares 21 of your 22 great-fit crops · Also great there: cassava, mango

    98%match
  18. 18

    🇧🇷PiumhiMinas Gerais, Brazil

    Zone 10b · No frost · 34 chill hours · 59 in rainZone 10b · No frost · 34 chill hours · 1,501 mm rain

    Shares 21 of your 22 great-fit crops · Also great there: mango

    97%match
  19. 19

    🇧🇷SorocabaSão Paulo, Brazil

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

    Shares 21 of your 22 great-fit crops · Also great there: wine grapes, cassava

    97%match
  20. 20

    🇧🇷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 22 great-fit crops

    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 Águas de Lindóia: 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.