Climatch

Land with a climate like Mogi das Cruzes

🇧🇷Mogi das Cruzes, São Paulo, Brazil

The towns with the closest growing climate to Mogi das Cruzes are Cotia, Brazil (99% match), São Miguel Arcanjo and Petrópolis. About 198,000 sq mi of land in 13 countries matches 80% or better, most of it in Paraná, Brazil, São Paulo, Brazil and Minas Gerais, Brazil.The towns with the closest growing climate to Mogi das Cruzes are Cotia, Brazil (99% match), São Miguel Arcanjo and Petrópolis. About 513,000 km² of land in 13 countries matches 80% or better, most of it in Paraná, Brazil, São Paulo, Brazil and Minas Gerais, Brazil.

Your growing climate

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

What grows in Mogi das Cruzes →

Regions with the most land like yours

  1. 1

    🇧🇷Paraná, Brazil

    48k sq mi124k km² matching 80% or better

    For example Quatro Barras (93), Campina Grande do Sul (93)

  2. 2

    🇧🇷São Paulo, Brazil

    39k sq mi100k km² matching 80% or better

    For example Itapevi (99), Cotia (99)

  3. 3

    🇧🇷Minas Gerais, Brazil

    28k sq mi71k km² matching 80% or better

    For example Extrema (97), Camanducaia (96)

  4. 4

    🇨🇳Yunnan, China

    5,000 sq mi13k km² matching 80% or better

    For example Wenshan City (82), Kaihua (82)

  5. 5

    🇲🇬Alaotra Mangoro, Madagascar

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

    For example Moramanga (78), Didy (74)

  6. 6

    🇻🇳Lai Châu Province, Vietnam

    2,200 sq mi5,700 km² matching 80% or better

    For example Lai Châu (82)

  7. 7

    🇿🇦KwaZulu-Natal, South Africa

    2,100 sq mi5,400 km² matching 80% or better

    For example Eshowe (82), KwaDukuza (82)

  8. 8

    🇻🇳Tuyen Quang, Vietnam

    1,900 sq mi5,000 km² matching 80% or better

    For example Bắc Quang (56)

  9. 9

    🇵🇪Amazonas, Peru

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

    For example Chachapoyas (66), La Peca (55)

  10. 10

    🇵🇪San Martín Department, Peru

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

  11. 11

    🇻🇳Lao Cai, Vietnam

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

  12. 12

    🇵🇪Cajamarca Department, Peru

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

    For example Jaén (56)

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 19 of your 19 great-fit crops · Also great there: fig

    99%match
  2. 2

    🇧🇷São Miguel ArcanjoSão Paulo, Brazil

    Zone 10b · No frost · 24 chill hours · 48 in rainZone 10b · No frost · 24 chill hours · 1,221 mm rain

    Shares 18 of your 19 great-fit crops · Also great there: fig, wine grapes

    99%match
  3. 3

    🇧🇷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 19 great-fit crops

    98%match
  4. 4

    🇧🇷SorocabaSão Paulo, Brazil

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

    Shares 18 of your 19 great-fit crops · Also great there: fig, wine grapes, banana

    97%match
  5. 5

    🇧🇷CunhaSão Paulo, Brazil

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

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

    97%match
  6. 6

    🇧🇷ExtremaMinas Gerais, Brazil

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

    Shares 18 of your 19 great-fit crops

    97%match
  7. 7

    🇧🇷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 19 of your 19 great-fit crops · Also great there: banana, sugarcane, fig

    97%match
  8. 8

    🇧🇷JundiaíSão Paulo, Brazil

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

    Shares 18 of your 19 great-fit crops · Also great there: fig, banana, sugarcane

    96%match
  9. 9

    🇧🇷ItapevaSão Paulo, Brazil

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

    Shares 18 of your 19 great-fit crops · Also great there: fig, wine grapes

    96%match
  10. 10

    🇧🇷ApiaíSão Paulo, Brazil

    Zone 10b · No frost · 108 chill hours · 56 in rainZone 10b · No frost · 108 chill hours · 1,417 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: apple, blueberry, peach

    96%match
  11. 11

    🇧🇷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 19 of your 19 great-fit crops · Also great there: fig

    96%match
  12. 12

    🇧🇷Rio ClaroRio de Janeiro, Brazil

    Zone 11a · No frost · 11 chill hours · 56 in rainZone 11a · No frost · 11 chill hours · 1,422 mm rain

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

    96%match
  13. 13

    🇧🇷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 18 of your 19 great-fit crops · Also great there: fig, banana, sugarcane

    94%match
  14. 14

    🇧🇷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 18 of your 19 great-fit crops · Also great there: fig, banana, sugarcane

    94%match
  15. 15

    🇧🇷TatuíSão Paulo, Brazil

    Zone 11a · No frost · 4 chill hours · 46 in rainZone 11a · No frost · 4 chill hours · 1,158 mm rain

    Shares 18 of your 19 great-fit crops · Also great there: fig, sugarcane, wine grapes

    94%match
  16. 16

    🇧🇷AmparoSão Paulo, Brazil

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

    Shares 18 of your 19 great-fit crops · Also great there: fig, banana, sugarcane

    94%match
  17. 17

    🇧🇷AngatubaSão Paulo, Brazil

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

    Shares 18 of your 19 great-fit crops · Also great there: fig, sugarcane, wine grapes

    93%match
  18. 18

    🇧🇷Fazenda Rio GrandeParaná, Brazil

    Zone 10b · No frost · 103 chill hours · 56 in rainZone 10b · No frost · 103 chill hours · 1,418 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: apple, blueberry, peach

    93%match
  19. 19

    🇧🇷ItararéSão Paulo, Brazil

    Zone 10b · No frost · 56 chill hours · 49 in rainZone 10b · No frost · 56 chill hours · 1,245 mm rain

    Shares 18 of your 19 great-fit crops · Also great there: fig, wine grapes

    93%match
  20. 20

    🇧🇷ParaisópolisMinas Gerais, Brazil

    Zone 10b · No frost · 63 chill hours · 58 in rainZone 10b · No frost · 63 chill hours · 1,480 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: 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 Mogi das Cruzes: 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.