Climatch

Land with a climate like Mogi Guaçu

🇧🇷Mogi Guaçu, São Paulo, Brazil

The towns with the closest growing climate to Mogi Guaçu are Charqueada, Brazil (99% match), Jaú and Piracicaba. About 520,000 sq mi of land in 21 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Mato Grosso do Sul, Brazil.The towns with the closest growing climate to Mogi Guaçu are Charqueada, Brazil (99% match), Jaú and Piracicaba. About 1.3 million km² of land in 21 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Mato Grosso do Sul, Brazil.

Your growing climate

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

What grows in Mogi Guaçu →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    134k sq mi347k km² matching 80% or better

    For example Guaranésia (99), Monte Santo de Minas (99)

  2. 2

    🇧🇷São Paulo, Brazil

    83k sq mi216k km² matching 80% or better

    For example Brotas (99), Charqueada (99)

  3. 3

    🇧🇷Mato Grosso do Sul, Brazil

    60k sq mi156k km² matching 80% or better

    For example Chapadão do Sul (94), Aparecida do Taboado (93)

  4. 4

    🇨🇳Yunnan, China

    22k sq mi57k km² matching 80% or better

    For example Mengman (87), Pu'er (84)

  5. 5

    🇿🇦KwaZulu-Natal, South Africa

    10k sq mi27k km² matching 80% or better

    For example KwaDukuza (84), Mandeni (84)

  6. 6

    🇲🇲Shan State, Myanmar

    9,700 sq mi25k km² matching 80% or better

    For example Panglong (82), Kēng Tung (82)

  7. 7

    🇻🇳Điện Biên Province, Vietnam

    7,000 sq mi18k km² matching 80% or better

    For example Mường Lay (77), Dien Bien Phu (75)

  8. 8

    🇱🇦Xiangkhoang, Laos

    5,100 sq mi13k km² matching 80% or better

    For example Muang Phônsavan (90)

  9. 9

    🇱🇦Oudômxai, Laos

    4,800 sq mi12k km² matching 80% or better

    For example Muang Xay (84)

  10. 10

    🇧🇴Santa Cruz Department, Bolivia

    4,500 sq mi12k km² matching 80% or better

    For example El Torno (78), San Ignacio de Velasco (67)

  11. 11

    🇱🇦Luang Prabang Province, Laos

    4,200 sq mi11k km² matching 80% or better

    For example Luang Prabang (60)

  12. 12

    🇲🇿Maputo Province, Mozambique

    4,000 sq mi10k km² matching 80% or better

    For example Manhiça (82), Ressano Garcia (76)

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

    🇧🇷CharqueadaSão Paulo, Brazil

    Zone 11a · No frost · 2 chill hours · 50 in rainZone 11a · No frost · 2 chill hours · 1,282 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  2. 2

    🇧🇷JaúSão Paulo, Brazil

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

    Shares 22 of your 22 great-fit crops

    99%match
  3. 3

    🇧🇷PiracicabaSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 48 in rainZone 11a · No frost · 0 chill hours · 1,230 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  4. 4

    🇧🇷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: banana, tea

    99%match
  5. 5

    🇧🇷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 22 great-fit crops · Also great there: banana

    99%match
  6. 6

    🇧🇷MococaSão Paulo, Brazil

    Zone 11a · No frost · 2 chill hours · 54 in rainZone 11a · No frost · 2 chill hours · 1,371 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  7. 7

    🇧🇷IndaiatubaSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 48 in rainZone 11a · No frost · 0 chill hours · 1,212 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  8. 8

    🇧🇷Santa Rita do Passa QuatroSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 54 in rainZone 11a · No frost · 0 chill hours · 1,370 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  9. 9

    🇧🇷TaubatéSão Paulo, Brazil

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

    Shares 22 of your 22 great-fit crops

    99%match
  10. 10

    🇧🇷CravinhosSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 57 in rainZone 11a · No frost · 0 chill hours · 1,441 mm rain

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

    99%match
  11. 11

    🇧🇷MatãoSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 52 in rainZone 11a · No frost · 0 chill hours · 1,313 mm rain

    Shares 21 of your 22 great-fit crops

    99%match
  12. 12

    🇧🇷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 20 of your 22 great-fit crops · Also great there: tea, banana

    99%match
  13. 13

    🇧🇷LinsSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 48 in rainZone 11a · No frost · 0 chill hours · 1,224 mm rain

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

    99%match
  14. 14

    🇧🇷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 22 great-fit crops · Also great there: banana

    99%match
  15. 15

    🇧🇷GarçaSão Paulo, Brazil

    Zone 11a · No frost · 4 chill hours · 49 in rainZone 11a · No frost · 4 chill hours · 1,256 mm rain

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

    99%match
  16. 16

    🇧🇷BatataisSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 61 in rainZone 11a · No frost · 0 chill hours · 1,557 mm rain

    Shares 21 of your 22 great-fit crops · Also great there: tea, banana

    99%match
  17. 17

    🇧🇷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: tea, banana

    99%match
  18. 18

    🇧🇷AlfenasMinas Gerais, Brazil

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

    Shares 21 of your 22 great-fit crops · Also great there: tea, banana

    99%match
  19. 19

    🇧🇷GuaratinguetáSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 53 in rainZone 11b · No frost · 0 chill hours · 1,336 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  20. 20

    🇧🇷LavrasMinas Gerais, Brazil

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

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

    99%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 Mogi Guaçu: 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.