Climatch

Land with a climate like Cachoeiras de Macacu

🇧🇷Cachoeiras de Macacu, Rio de Janeiro, Brazil

The towns with the closest growing climate to Cachoeiras de Macacu are Alegre, Brazil (99% match), Pancas and Macaé. About 415,000 sq mi of land in 25 countries matches 80% or better, most of it in São Paulo, Brazil, Minas Gerais, Brazil and Mato Grosso do Sul, Brazil.The towns with the closest growing climate to Cachoeiras de Macacu are Alegre, Brazil (99% match), Pancas and Macaé. About 1.1 million km² of land in 25 countries matches 80% or better, most of it in São Paulo, Brazil, Minas Gerais, Brazil and Mato Grosso do Sul, Brazil.

Your growing climate

Zone 11b · No frost · 0 chill hours · 48 in rainZone 11b · No frost · 0 chill hours · 1,211 mm rain

What grows in Cachoeiras de Macacu →

Regions with the most land like yours

  1. 1

    🇧🇷São Paulo, Brazil

    71k sq mi183k km² matching 80% or better

    For example Tremembé (94), Taubaté (93)

  2. 2

    🇧🇷Minas Gerais, Brazil

    52k sq mi134k km² matching 80% or better

    For example Mutum (97), Ipanema (97)

  3. 3

    🇧🇷Mato Grosso do Sul, Brazil

    48k sq mi124k km² matching 80% or better

    For example Nova Andradina (87), Bataguassu (87)

  4. 4

    🇲🇽Veracruz, Mexico

    8,700 sq mi23k km² matching 80% or better

    For example Córdoba (89), Cerro Azul (86)

  5. 5

    🇲🇿Inhambane Province, Mozambique

    8,000 sq mi21k km² matching 80% or better

    For example Massinga (87), Inhambane (81)

  6. 6

    🇿🇦KwaZulu-Natal, South Africa

    6,800 sq mi18k km² matching 80% or better

    For example eSikhaleni (90), Richards Bay (90)

  7. 7

    🇨🇳Yunnan, China

    5,800 sq mi15k km² matching 80% or better

    For example Mengla (84), Hekou (83)

  8. 8

    🇹🇿Tanga, Tanzania

    5,700 sq mi15k km² matching 80% or better

    For example Handeni (90), Chanika (90)

  9. 9

    🇻🇳Điện Biên Province, Vietnam

    5,600 sq mi14k km² matching 80% or better

    For example Mường Lay (83), Dien Bien Phu (75)

  10. 10

    🇱🇦Oudômxai, Laos

    5,000 sq mi13k km² matching 80% or better

    For example Muang Xay (81)

  11. 11

    🇺🇸Florida, United States

    4,500 sq mi12k km² matching 80% or better

    For example Belle Glade (80), Florida Ridge (80)

  12. 12

    🇱🇦Luang Prabang Province, Laos

    4,500 sq mi12k km² matching 80% or better

    For example Luang Prabang (74)

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

    🇧🇷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
  2. 2

    🇧🇷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 22 great-fit crops

    99%match
  3. 3

    🇧🇷MacaéRio de Janeiro, Brazil

    Zone 12a · No frost · 0 chill hours · 49 in rainZone 12a · No frost · 0 chill hours · 1,243 mm rain

    Shares 21 of your 22 great-fit crops · Also great there: banana

    99%match
  4. 4

    🇧🇷São FidélisRio de Janeiro, Brazil

    Zone 11b · No frost · 0 chill hours · 39 in rainZone 11b · No frost · 0 chill hours · 1,001 mm rain

    Shares 19 of your 22 great-fit crops

    98%match
  5. 5

    🇧🇷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
  6. 6

    🇧🇷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

    97%match
  7. 7

    🇧🇷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

    97%match
  8. 8

    🇧🇷BotafogoRio de Janeiro, Brazil

    Zone 12a · No frost · 0 chill hours · 42 in rainZone 12a · No frost · 0 chill hours · 1,064 mm rain

    Shares 20 of your 22 great-fit crops · Also great there: banana

    97%match
  9. 9

    🇧🇷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 22 great-fit crops

    97%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

    97%match
  11. 11

    🇧🇷QuissamãRio de Janeiro, Brazil

    Zone 12a · No frost · 0 chill hours · 42 in rainZone 12a · No frost · 0 chill hours · 1,071 mm rain

    Shares 20 of your 22 great-fit crops

    96%match
  12. 12

    🇧🇷São Francisco de ItabapoanaRio de Janeiro, Brazil

    Zone 12a · No frost · 0 chill hours · 38 in rainZone 12a · No frost · 0 chill hours · 957 mm rain

    Shares 20 of your 22 great-fit crops · Also great there: table and raisin grapes

    96%match
  13. 13

    🇧🇷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 22 great-fit crops

    96%match
  14. 14

    🇧🇷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 22 great-fit crops

    96%match
  15. 15

    🇧🇷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

    96%match
  16. 16

    🇧🇷Cabo FrioRio de Janeiro, Brazil

    Zone 12a · No frost · 0 chill hours · 46 in rainZone 12a · No frost · 0 chill hours · 1,162 mm rain

    Shares 21 of your 22 great-fit crops

    96%match
  17. 17

    🇧🇷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 22 great-fit crops

    96%match
  18. 18

    🇧🇷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
  19. 19

    🇧🇷Nova VenéciaEspírito Santo, Brazil

    Zone 12a · No frost · 0 chill hours · 41 in rainZone 12a · No frost · 0 chill hours · 1,051 mm rain

    Shares 20 of your 22 great-fit crops · Also great there: banana

    95%match
  20. 20

    🇧🇷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 22 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 Cachoeiras de Macacu: 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.