Climatch

Land with a climate like Paraíba do Sul

🇧🇷Paraíba do Sul, Rio de Janeiro, Brazil

The towns with the closest growing climate to Paraíba do Sul are Volta Redonda, Brazil (99% match), Itatiaia and Cordeiro. About 392,000 sq mi of land in 15 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 Paraíba do Sul are Volta Redonda, Brazil (99% match), Itatiaia and Cordeiro. About 1.0 million km² of land in 15 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 · 56 in rainZone 11a · No frost · 0 chill hours · 1,412 mm rain

What grows in Paraíba do Sul →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    102k sq mi265k km² matching 80% or better

    For example Lajinha (99), Inhapim (98)

  2. 2

    🇧🇷São Paulo, Brazil

    83k sq mi216k km² matching 80% or better

    For example Caçapava (99), Taubaté (99)

  3. 3

    🇧🇷Mato Grosso do Sul, Brazil

    40k sq mi103k km² matching 80% or better

    For example Nova Andradina (86), Aparecida do Taboado (85)

  4. 4

    🇿🇦KwaZulu-Natal, South Africa

    7,300 sq mi19k km² matching 80% or better

    For example Mandeni (86), Tongaat (86)

  5. 5

    🇻🇳Điện Biên Province, Vietnam

    7,000 sq mi18k km² matching 80% or better

    For example Mường Lay (80), Dien Bien Phu (70)

  6. 6

    🇨🇳Yunnan, China

    6,900 sq mi18k km² matching 80% or better

    For example Mengla (79), Mengzi (77)

  7. 7

    🇻🇳Sơn La Province, Vietnam

    3,900 sq mi10k km² matching 80% or better

    For example Chiềng Cơi (88), Thị Trấn Thuận Châu (87)

  8. 8

    🇱🇦Xiangkhoang, Laos

    3,100 sq mi8,000 km² matching 80% or better

    For example Muang Phônsavan (75)

  9. 9

    🇱🇦Houaphan, Laos

    3,100 sq mi8,000 km² matching 80% or better

    For example Xam Nua (80)

  10. 10

    🇱🇦Oudômxai, Laos

    3,100 sq mi8,000 km² matching 80% or better

    For example Muang Xay (77)

  11. 11

    🇻🇳Nghệ An Province, Vietnam

    2,500 sq mi6,600 km² matching 80% or better

    For example Bản Na Hỷ (76), Thái Hòa (56)

  12. 12

    🇲🇿Maputo Province, Mozambique

    2,200 sq mi5,600 km² matching 80% or better

    For example Manhiça (80), Matola (73)

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 24 of your 24 great-fit crops

    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 24 of your 24 great-fit crops

    99%match
  3. 3

    🇧🇷CordeiroRio de Janeiro, Brazil

    Zone 11a · No frost · 4 chill hours · 49 in rainZone 11a · No frost · 4 chill hours · 1,244 mm rain

    Shares 23 of your 24 great-fit crops

    99%match
  4. 4

    🇧🇷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 22 of your 24 great-fit crops · Also great there: wine grapes

    99%match
  5. 5

    🇧🇷TremembéSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 49 in rainZone 11a · No frost · 0 chill hours · 1,254 mm rain

    Shares 22 of your 24 great-fit crops

    99%match
  6. 6

    🇧🇷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 24 great-fit crops

    99%match
  7. 7

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

    97%match
  8. 8

    🇧🇷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 24 great-fit crops

    97%match
  9. 9

    🇧🇷LeopoldinaMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 48 in rainZone 11a · No frost · 0 chill hours · 1,231 mm rain

    Shares 21 of your 24 great-fit crops

    97%match
  10. 10

    🇧🇷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 24 great-fit crops

    97%match
  11. 11

    🇧🇷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 24 great-fit crops

    97%match
  12. 12

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

    97%match
  13. 13

    🇧🇷IúnaEspírito Santo, Brazil

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

    Shares 22 of your 24 great-fit crops · Also great there: wine grapes

    96%match
  14. 14

    🇧🇷CampinasSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 49 in rainZone 11a · No frost · 0 chill hours · 1,256 mm rain

    Shares 23 of your 24 great-fit crops

    96%match
  15. 15

    🇧🇷LorenaSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 55 in rainZone 11a · No frost · 0 chill hours · 1,390 mm rain

    Shares 22 of your 24 great-fit crops

    96%match
  16. 16

    🇧🇷SorocabaSão Paulo, Brazil

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

    Shares 22 of your 24 great-fit crops · Also great there: wine grapes

    96%match
  17. 17

    🇧🇷ConchasSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 46 in rainZone 11a · No frost · 0 chill hours · 1,168 mm rain

    Shares 22 of your 24 great-fit crops

    96%match
  18. 18

    🇧🇷Mogi GuaçuSão Paulo, Brazil

    Zone 11a · No frost · 4 chill hours · 52 in rainZone 11a · No frost · 4 chill hours · 1,329 mm rain

    Shares 22 of your 24 great-fit crops

    96%match
  19. 19

    🇧🇷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 24 great-fit crops

    96%match
  20. 20

    🇧🇷AngatubaSão Paulo, Brazil

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

    Shares 22 of your 24 great-fit crops · Also great there: 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 Paraíba do Sul: 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.