Climatch

Land with a climate like Miguel Pereira

🇧🇷Miguel Pereira, Rio de Janeiro, Brazil

The towns with the closest growing climate to Miguel Pereira are Bom Jardim, Brazil (99% match), Vargem Alta and São Paulo. About 271,000 sq mi of land in 15 countries matches 80% or better, most of it in Minas Gerais, Brazil, Paraná, Brazil and São Paulo, Brazil.The towns with the closest growing climate to Miguel Pereira are Bom Jardim, Brazil (99% match), Vargem Alta and São Paulo. About 701,000 km² of land in 15 countries matches 80% or better, most of it in Minas Gerais, Brazil, Paraná, Brazil and São Paulo, Brazil.

Your growing climate

Zone 11a · No frost · 10 chill hours · 59 in rainZone 11a · No frost · 10 chill hours · 1,498 mm rain

What grows in Miguel Pereira →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    67k sq mi173k km² matching 80% or better

    For example Cambuí (97), Lajinha (97)

  2. 2

    🇧🇷Paraná, Brazil

    54k sq mi141k km² matching 80% or better

    For example Astorga (95), Nova Esperança (94)

  3. 3

    🇧🇷São Paulo, Brazil

    50k sq mi130k km² matching 80% or better

    For example Paraibuna (99), São Caetano do Sul (99)

  4. 4

    🇨🇳Yunnan, China

    7,200 sq mi19k km² matching 80% or better

    For example Wenshan City (81), Kaihua (81)

  5. 5

    🇿🇦KwaZulu-Natal, South Africa

    4,400 sq mi11k km² matching 80% or better

    For example KwaDukuza (85), Eshowe (84)

  6. 6

    🇲🇬Alaotra Mangoro, Madagascar

    3,700 sq mi9,600 km² matching 80% or better

    For example Moramanga (84), Didy (81)

  7. 7

    🇵🇪San Martín Department, Peru

    2,400 sq mi6,100 km² matching 80% or better

    For example Rioja (56), Moyobamba (56)

  8. 8

    🇻🇳Lai Châu Province, Vietnam

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

    For example Lai Châu (84)

  9. 9

    🇲🇬Atsinanana, Madagascar

    1,700 sq mi4,400 km² matching 80% or better

    For example Marolambo (63), Vohibinany (57)

  10. 10

    🇲🇽Veracruz, Mexico

    1,700 sq mi4,400 km² matching 80% or better

    For example Coatepec (93), Xalapa de Enríquez (92)

  11. 11

    🇲🇽Puebla, Mexico

    1,700 sq mi4,400 km² matching 80% or better

    For example Xicotepec de Juárez (82), Huauchinango (76)

  12. 12

    🇲🇬Atsimo-Atsinanana, Madagascar

    1,600 sq mi4,300 km² matching 80% or better

    For example Vondrozo (75)

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

    🇧🇷Bom JardimRio de Janeiro, Brazil

    Zone 10b · No frost · 19 chill hours · 50 in rainZone 10b · No frost · 19 chill hours · 1,277 mm rain

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

    99%match
  2. 2

    🇧🇷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: fig, cassava, wine grapes

    99%match
  3. 3

    🇧🇷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 21 great-fit crops · Also great there: fig

    98%match
  4. 4

    🇧🇷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: fig, wine grapes, cassava

    98%match
  5. 5

    🇧🇷IúnaEspírito Santo, Brazil

    Zone 11a · No frost · 10 chill hours · 45 in rainZone 11a · No frost · 10 chill hours · 1,155 mm rain

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

    98%match
  6. 6

    🇧🇷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: fig, wine grapes, cassava

    98%match
  7. 7

    🇧🇷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 20 of your 21 great-fit crops · Also great there: fig, cassava, wine grapes

    98%match
  8. 8

    🇧🇷GuaçuíEspírito Santo, Brazil

    Zone 11a · No frost · 14 chill hours · 46 in rainZone 11a · No frost · 14 chill hours · 1,179 mm rain

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

    98%match
  9. 9

    🇧🇷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: fig, wine grapes

    97%match
  10. 10

    🇧🇷Bragança PaulistaSão Paulo, Brazil

    Zone 10b · No frost · 29 chill hours · 51 in rainZone 10b · No frost · 29 chill hours · 1,305 mm rain

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

    97%match
  11. 11

    🇧🇷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 21 great-fit crops · Also great there: fig

    97%match
  12. 12

    🇧🇷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 21 great-fit crops · Also great there: fig

    97%match
  13. 13

    🇧🇷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: fig, wine grapes, cassava

    97%match
  14. 14

    🇧🇷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 18 of your 21 great-fit crops · Also great there: fig, wine grapes

    97%match
  15. 15

    🇧🇷MauáSão Paulo, Brazil

    Zone 11a · No frost · 10 chill hours · 64 in rainZone 11a · No frost · 10 chill hours · 1,633 mm rain

    Shares 19 of your 21 great-fit crops

    97%match
  16. 16

    🇧🇷JundiaíSão Paulo, Brazil

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

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

    97%match
  17. 17

    🇧🇷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 20 of your 21 great-fit crops

    96%match
  18. 18

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

    96%match
  19. 19

    🇧🇷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: fig, cassava, mango

    96%match
  20. 20

    🇧🇷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 21 great-fit crops · Also great there: fig, wine grapes

    96%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 Miguel Pereira: 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.