Climatch

Land with a climate like Sapucaia

🇧🇷Sapucaia, Rio de Janeiro, Brazil

The towns with the closest growing climate to Sapucaia are Volta Redonda, Brazil (99% match), Itatiaia and Ubá. About 424,000 sq mi of land in 14 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 Sapucaia are Volta Redonda, Brazil (99% match), Itatiaia and Ubá. About 1.1 million km² of land in 14 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 · 53 in rainZone 11a · No frost · 0 chill hours · 1,337 mm rain

What grows in Sapucaia →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    131k sq mi340k km² matching 80% or better

    For example Rio Pomba (99), Ubá (99)

  2. 2

    🇧🇷São Paulo, Brazil

    81k sq mi210k km² matching 80% or better

    For example Pindamonhangaba (98), Taubaté (98)

  3. 3

    🇧🇷Mato Grosso do Sul, Brazil

    35k sq mi90k km² matching 80% or better

    For example Aparecida do Taboado (90), Paranaíba (86)

  4. 4

    🇻🇳Điện Biên Province, Vietnam

    7,000 sq mi18k km² matching 80% or better

    For example Mường Lay (84), Dien Bien Phu (78)

  5. 5

    🇨🇳Yunnan, China

    6,100 sq mi16k km² matching 80% or better

    For example Mengla (79), Mengman (75)

  6. 6

    🇿🇦KwaZulu-Natal, South Africa

    5,800 sq mi15k km² matching 80% or better

    For example Mandeni (84), Tongaat (84)

  7. 7

    🇱🇦Xiangkhoang, Laos

    4,500 sq mi12k km² matching 80% or better

    For example Muang Phônsavan (81)

  8. 8

    🇱🇦Oudômxai, Laos

    4,500 sq mi12k km² matching 80% or better

    For example Muang Xay (82)

  9. 9

    🇻🇳Sơn La Province, Vietnam

    4,200 sq mi11k km² matching 80% or better

    For example Chiềng Cơi (91), Sơn La (90)

  10. 10

    🇲🇿Maputo Province, Mozambique

    4,000 sq mi10k km² matching 80% or better

    For example Manhiça (85), Matola (83)

  11. 11

    🇱🇦Luang Prabang Province, Laos

    3,900 sq mi10k km² matching 80% or better

    For example Luang Prabang (64)

  12. 12

    🇻🇳Nghệ An Province, Vietnam

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

    For example Bản Na Hỷ (79), Thái Hòa (58)

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

    🇧🇷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 23 of your 23 great-fit crops · Also great there: tea

    99%match
  2. 2

    🇧🇷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 23 of your 23 great-fit crops · Also great there: tea

    99%match
  3. 3

    🇧🇷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 23 great-fit crops

    99%match
  4. 4

    🇧🇷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 23 great-fit crops

    99%match
  5. 5

    🇧🇷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 23 great-fit crops · Also great there: wine grapes

    99%match
  6. 6

    🇧🇷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 23 great-fit crops

    99%match
  7. 7

    🇧🇷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 23 great-fit crops

    99%match
  8. 8

    🇧🇷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 23 great-fit crops

    99%match
  9. 9

    🇧🇷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 23 great-fit crops

    99%match
  10. 10

    🇧🇷Santo Antônio de PáduaRio de Janeiro, Brazil

    Zone 11a · No frost · 0 chill hours · 45 in rainZone 11a · No frost · 0 chill hours · 1,145 mm rain

    Shares 20 of your 23 great-fit crops

    99%match
  11. 11

    🇧🇷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 23 great-fit crops

    98%match
  12. 12

    🇧🇷CaratingaMinas Gerais, Brazil

    Zone 11a · No frost · 8 chill hours · 45 in rainZone 11a · No frost · 8 chill hours · 1,136 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: wine grapes

    98%match
  13. 13

    🇧🇷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 23 great-fit crops · Also great there: wine grapes

    98%match
  14. 14

    🇧🇷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 23 great-fit crops

    98%match
  15. 15

    🇧🇷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 23 of your 23 great-fit crops

    97%match
  16. 16

    🇧🇷ParacambiRio de Janeiro, Brazil

    Zone 11b · No frost · 0 chill hours · 58 in rainZone 11b · No frost · 0 chill hours · 1,481 mm rain

    Shares 23 of your 23 great-fit crops · Also great there: tea

    97%match
  17. 17

    🇧🇷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 23 great-fit crops

    97%match
  18. 18

    🇧🇷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 23 great-fit crops

    97%match
  19. 19

    🇧🇷Lima DuarteMinas Gerais, Brazil

    Zone 11a · No frost · 5 chill hours · 52 in rainZone 11a · No frost · 5 chill hours · 1,327 mm rain

    Shares 21 of your 23 great-fit crops

    97%match
  20. 20

    🇧🇷PancasEspírito Santo, Brazil

    Zone 11b · No frost · 0 chill hours · 42 in rainZone 11b · No frost · 0 chill hours · 1,057 mm rain

    Shares 20 of your 23 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 Sapucaia: 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.