Climatch

Land with a climate like Além Paraíba

🇧🇷Além Paraíba, Minas Gerais, Brazil

The towns with the closest growing climate to Além Paraíba are Muriaé, Brazil (99% match), Ubá and Ponte Nova. About 401,000 sq mi of land in 11 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 Além Paraíba are Muriaé, Brazil (99% match), Ubá and Ponte Nova. About 1.0 million km² of land in 11 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 · 0 chill hours · 49 in rainZone 11a · No frost · 0 chill hours · 1,250 mm rain

What grows in Além Paraíba →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    133k sq mi345k km² matching 80% or better

    For example Muriaé (99), Ubá (99)

  2. 2

    🇧🇷São Paulo, Brazil

    77k sq mi201k km² matching 80% or better

    For example Cruzeiro (97), Pindamonhangaba (96)

  3. 3

    🇧🇷Mato Grosso do Sul, Brazil

    32k sq mi83k km² matching 80% or better

    For example Aparecida do Taboado (91), Paranaíba (88)

  4. 4

    🇻🇳Điện Biên Province, Vietnam

    7,000 sq mi18k km² matching 80% or better

    For example Mường Lay (82), Dien Bien Phu (78)

  5. 5

    🇱🇦Oudômxai, Laos

    4,800 sq mi12k km² matching 80% or better

    For example Muang Xay (82)

  6. 6

    🇲🇿Maputo Province, Mozambique

    4,600 sq mi12k km² matching 80% or better

    For example Manhiça (86), Matola (85)

  7. 7

    🇱🇦Luang Prabang Province, Laos

    4,200 sq mi11k km² matching 80% or better

    For example Luang Prabang (67)

  8. 8

    🇻🇳Sơn La Province, Vietnam

    4,200 sq mi11k km² matching 80% or better

    For example Chiềng Cơi (88), Sơn La (88)

  9. 9

    🇱🇦Xiangkhoang, Laos

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

    For example Muang Phônsavan (79)

  10. 10

    🇨🇳Yunnan, China

    2,800 sq mi7,200 km² matching 80% or better

    For example Mengla (78), Hekou (72)

  11. 11

    🇲🇿Gaza Province, Mozambique

    1,900 sq mi4,900 km² matching 80% or better

    For example Macia (86), Xai-Xai (79)

  12. 12

    🇲🇿Maputo City, Mozambique

    1,600 sq mi4,200 km² matching 80% or better

    For example Maputo (91)

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

    🇧🇷MuriaéMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 50 in rainZone 11a · No frost · 0 chill hours · 1,280 mm rain

    Shares 21 of your 22 great-fit crops

    99%match
  2. 2

    🇧🇷UbáMinas Gerais, 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
  3. 3

    🇧🇷Ponte NovaMinas Gerais, Brazil

    Zone 11a · No frost · 2 chill hours · 45 in rainZone 11a · No frost · 2 chill hours · 1,152 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  4. 4

    🇧🇷Volta RedondaRio de Janeiro, Brazil

    Zone 11a · No frost · 0 chill hours · 55 in rainZone 11a · No frost · 0 chill hours · 1,397 mm rain

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

    99%match
  5. 5

    🇧🇷AlegreEspírito Santo, Brazil

    Zone 11b · No frost · 0 chill hours · 43 in rainZone 11b · No frost · 0 chill hours · 1,093 mm rain

    Shares 21 of your 22 great-fit crops

    99%match
  6. 6

    🇧🇷InhapimMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 44 in rainZone 11a · No frost · 0 chill hours · 1,126 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  7. 7

    🇧🇷Raul SoaresMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 43 in rainZone 11a · No frost · 0 chill hours · 1,093 mm rain

    Shares 20 of your 22 great-fit crops

    99%match
  8. 8

    🇧🇷CambuciRio de Janeiro, Brazil

    Zone 11b · No frost · 0 chill hours · 42 in rainZone 11b · No frost · 0 chill hours · 1,067 mm rain

    Shares 20 of your 22 great-fit crops

    99%match
  9. 9

    🇧🇷ItaperunaRio de Janeiro, Brazil

    Zone 11b · No frost · 0 chill hours · 43 in rainZone 11b · No frost · 0 chill hours · 1,086 mm rain

    Shares 20 of your 22 great-fit crops

    99%match
  10. 10

    🇧🇷MutumMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 42 in rainZone 11b · No frost · 0 chill hours · 1,061 mm rain

    Shares 20 of your 22 great-fit crops

    99%match
  11. 11

    🇧🇷CarangolaMinas Gerais, Brazil

    Zone 11a · No frost · 4 chill hours · 46 in rainZone 11a · No frost · 4 chill hours · 1,165 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  12. 12

    🇧🇷Nova EraMinas Gerais, Brazil

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

    Shares 22 of your 22 great-fit crops

    99%match
  13. 13

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

    99%match
  14. 14

    🇧🇷ValençaRio de Janeiro, Brazil

    Zone 11a · No frost · 2 chill hours · 49 in rainZone 11a · No frost · 2 chill hours · 1,253 mm rain

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

    98%match
  15. 15

    🇧🇷MalacachetaMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 39 in rainZone 11a · No frost · 0 chill hours · 996 mm rain

    Shares 20 of your 22 great-fit crops

    98%match
  16. 16

    🇧🇷Afonso CláudioEspírito Santo, Brazil

    Zone 11a · No frost · 0 chill hours · 44 in rainZone 11a · No frost · 0 chill hours · 1,115 mm rain

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

    97%match
  17. 17

    🇧🇷PirangaMinas Gerais, Brazil

    Zone 11a · No frost · 5 chill hours · 50 in rainZone 11a · No frost · 5 chill hours · 1,261 mm rain

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

    97%match
  18. 18

    🇧🇷CasteloEspírito Santo, Brazil

    Zone 11b · No frost · 0 chill hours · 42 in rainZone 11b · No frost · 0 chill hours · 1,079 mm rain

    Shares 21 of your 22 great-fit crops

    96%match
  19. 19

    🇧🇷ResplendorMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 40 in rainZone 11b · No frost · 0 chill hours · 1,020 mm rain

    Shares 19 of your 22 great-fit crops

    96%match
  20. 20

    🇧🇷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

    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 Além Paraíba: 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.