Climatch

Land with a climate like Santo Antônio de Pádua

🇧🇷Santo Antônio de Pádua, Rio de Janeiro, Brazil

The towns with the closest growing climate to Santo Antônio de Pádua are Mutum, Brazil (99% match), Alegre and Raul Soares. About 449,000 sq mi of land in 10 countries matches 80% or better, most of it in Minas Gerais, Brazil, Mato Grosso do Sul, Brazil and São Paulo, Brazil.The towns with the closest growing climate to Santo Antônio de Pádua are Mutum, Brazil (99% match), Alegre and Raul Soares. About 1.2 million km² of land in 10 countries matches 80% or better, most of it in Minas Gerais, Brazil, Mato Grosso do Sul, Brazil and São Paulo, Brazil.

Your growing climate

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

What grows in Santo Antônio de Pádua →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    102k sq mi265k km² matching 80% or better

    For example Ipanema (99), Mutum (99)

  2. 2

    🇧🇷Mato Grosso do Sul, Brazil

    77k sq mi199k km² matching 80% or better

    For example Aparecida do Taboado (93), Paranaíba (91)

  3. 3

    🇧🇷São Paulo, Brazil

    74k sq mi191k km² matching 80% or better

    For example Lins (95), Lorena (95)

  4. 4

    🇻🇳Điện Biên Province, Vietnam

    6,100 sq mi16k km² matching 80% or better

    For example Mường Lay (84), Dien Bien Phu (80)

  5. 5

    🇲🇿Gaza Province, Mozambique

    5,400 sq mi14k km² matching 80% or better

    For example Macia (89), Xai-Xai (84)

  6. 6

    🇲🇿Maputo Province, Mozambique

    5,400 sq mi14k km² matching 80% or better

    For example Manhiça (90), Matola (88)

  7. 7

    🇱🇦Luang Prabang Province, Laos

    5,100 sq mi13k km² matching 80% or better

    For example Luang Prabang (78)

  8. 8

    🇱🇦Oudômxai, Laos

    5,000 sq mi13k km² matching 80% or better

    For example Muang Xay (86)

  9. 9

    🇧🇴Santa Cruz Department, Bolivia

    4,900 sq mi13k km² matching 80% or better

    For example San Ignacio de Velasco (80), El Torno (79)

  10. 10

    🇻🇳Sơn La Province, Vietnam

    3,300 sq mi8,700 km² matching 80% or better

    For example Sơn La (88), Chiềng Cơi (87)

  11. 11

    🇿🇦KwaZulu-Natal, South Africa

    2,900 sq mi7,500 km² matching 80% or better

    For example Empangeni (80), Mandeni (80)

  12. 12

    🇨🇳Yunnan, China

    2,200 sq mi5,800 km² matching 80% or better

    For example Mengla (81), Hekou (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

    🇧🇷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 20 great-fit crops

    99%match
  2. 2

    🇧🇷AlegreEspírito Santo, Brazil

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

    Shares 20 of your 20 great-fit crops · Also great there: potato

    99%match
  3. 3

    🇧🇷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 20 great-fit crops

    99%match
  4. 4

    🇧🇷Teófilo OtoniMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 38 in rainZone 11b · No frost · 0 chill hours · 962 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: table and raisin grapes

    98%match
  5. 5

    🇧🇷UbáMinas Gerais, Brazil

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

    Shares 20 of your 20 great-fit crops · Also great there: coffee (arabica), potato

    98%match
  6. 6

    🇧🇷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 20 great-fit crops

    98%match
  7. 7

    🇧🇷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 20 of your 20 great-fit crops · Also great there: coffee (arabica), potato

    98%match
  8. 8

    🇧🇷Baixo GuanduEspírito Santo, Brazil

    Zone 12a · No frost · 0 chill hours · 40 in rainZone 12a · No frost · 0 chill hours · 1,025 mm rain

    Shares 18 of your 20 great-fit crops

    98%match
  9. 9

    🇧🇷Conselheiro PenaMinas Gerais, Brazil

    Zone 12a · No frost · 0 chill hours · 40 in rainZone 12a · No frost · 0 chill hours · 1,012 mm rain

    Shares 18 of your 20 great-fit crops

    97%match
  10. 10

    🇧🇷São João NepomucenoMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 51 in rainZone 11a · No frost · 0 chill hours · 1,304 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: coffee (arabica), potato

    97%match
  11. 11

    🇧🇷Barra de São FranciscoEspírito Santo, Brazil

    Zone 11b · No frost · 0 chill hours · 40 in rainZone 11b · No frost · 0 chill hours · 1,022 mm rain

    Shares 20 of your 20 great-fit crops

    97%match
  12. 12

    🇧🇷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 20 of your 20 great-fit crops · Also great there: coffee (arabica), banana, potato

    97%match
  13. 13

    🇧🇷InhapimMinas Gerais, Brazil

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

    Shares 20 of your 20 great-fit crops · Also great there: potato, coffee (arabica)

    97%match
  14. 14

    🇧🇷Três RiosRio de Janeiro, Brazil

    Zone 11a · No frost · 0 chill hours · 56 in rainZone 11a · No frost · 0 chill hours · 1,417 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: coffee (arabica), banana, potato

    97%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 20 great-fit crops

    96%match
  16. 16

    🇧🇷Cachoeiro de ItapemirimEspírito 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 20 great-fit crops

    96%match
  17. 17

    🇧🇷EcoporangaEspírito Santo, Brazil

    Zone 12a · No frost · 0 chill hours · 40 in rainZone 12a · No frost · 0 chill hours · 1,013 mm rain

    Shares 19 of your 20 great-fit crops

    96%match
  18. 18

    🇧🇷CarangolaMinas Gerais, Brazil

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

    Shares 20 of your 20 great-fit crops · Also great there: potato, coffee (arabica)

    95%match
  19. 19

    🇧🇷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 20 of your 20 great-fit crops · Also great there: coffee (arabica), potato

    95%match
  20. 20

    🇧🇷ColatinaEspírito Santo, Brazil

    Zone 12a · No frost · 0 chill hours · 42 in rainZone 12a · No frost · 0 chill hours · 1,062 mm rain

    Shares 20 of your 20 great-fit crops

    95%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 Santo Antônio de Pádua: 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.