Climatch

Land with a climate like Araruama

🇧🇷Araruama, Rio de Janeiro, Brazil

The towns with the closest growing climate to Araruama are Macaé, Brazil (99% match), Rio de Janeiro and Quissamã. About 294,000 sq mi of land in 23 countries matches 80% or better, most of it in Bahia, Brazil, São Paulo, Brazil and Mato Grosso do Sul, Brazil.The towns with the closest growing climate to Araruama are Macaé, Brazil (99% match), Rio de Janeiro and Quissamã. About 761,000 km² of land in 23 countries matches 80% or better, most of it in Bahia, Brazil, São Paulo, Brazil and Mato Grosso do Sul, Brazil.

Your growing climate

Zone 12a · No frost · 0 chill hours · 43 in rainZone 12a · No frost · 0 chill hours · 1,103 mm rain

What grows in Araruama →

Regions with the most land like yours

  1. 1

    🇧🇷Bahia, Brazil

    50k sq mi130k km² matching 80% or better

    For example Itororó (97), Itapetinga (97)

  2. 2

    🇧🇷São Paulo, Brazil

    28k sq mi72k km² matching 80% or better

    For example Miracatu (91), Juquiá (91)

  3. 3

    🇧🇷Mato Grosso do Sul, Brazil

    25k sq mi65k km² matching 80% or better

    For example Itaporã (84), Bataguassu (84)

  4. 4

    🇲🇽Veracruz, Mexico

    11k sq mi29k km² matching 80% or better

    For example Coatzintla (91), Poza Rica de Hidalgo (91)

  5. 5

    🇨🇳Hainan, China

    10k sq mi27k km² matching 80% or better

    For example Wuzhishan (86), Yinggen (85)

  6. 6

    🇹🇿Tanga, Tanzania

    6,600 sq mi17k km² matching 80% or better

    For example Handeni (91), Chanika (91)

  7. 7

    🇺🇸Florida, United States

    6,400 sq mi17k km² matching 80% or better

    For example South Miami Heights (83), Richmond West (83)

  8. 8

    🇲🇿Inhambane Province, Mozambique

    4,100 sq mi11k km² matching 80% or better

    For example Inhambane (84), Massinga (84)

  9. 9

    🇿🇦KwaZulu-Natal, South Africa

    3,900 sq mi10k km² matching 80% or better

    For example Mtubatuba (88), Richards Bay (87)

  10. 10

    🇻🇳Nghệ An Province, Vietnam

    3,700 sq mi9,500 km² matching 80% or better

    For example Thái Hòa (82), Kim Liên (79)

  11. 11

    🇲🇿Gaza Province, Mozambique

    2,700 sq mi7,000 km² matching 80% or better

    For example Xai-Xai (88), Macia (83)

  12. 12

    🇹🇿Morogoro, Tanzania

    2,700 sq mi6,900 km² matching 80% or better

    For example Kidatu (79), Madizini (77)

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

    🇧🇷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 22 of your 22 great-fit crops

    99%match
  2. 2

    🇧🇷Rio de JaneiroBrazil

    Zone 12a · No frost · 0 chill hours · 43 in rainZone 12a · No frost · 0 chill hours · 1,092 mm rain

    Shares 21 of your 22 great-fit crops

    99%match
  3. 3

    🇧🇷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

    99%match
  4. 4

    🇧🇷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

    99%match
  5. 5

    🇧🇷GuapimirimRio de Janeiro, Brazil

    Zone 11b · No frost · 0 chill hours · 55 in rainZone 11b · No frost · 0 chill hours · 1,399 mm rain

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

    99%match
  6. 6

    🇧🇷LinharesEspírito Santo, Brazil

    Zone 12a · No frost · 0 chill hours · 45 in rainZone 12a · No frost · 0 chill hours · 1,131 mm rain

    Shares 21 of your 22 great-fit crops

    97%match
  7. 7

    🇧🇷VianaEspírito Santo, Brazil

    Zone 12a · No frost · 0 chill hours · 45 in rainZone 12a · No frost · 0 chill hours · 1,152 mm rain

    Shares 21 of your 22 great-fit crops

    97%match
  8. 8

    🇧🇷SerraEspírito Santo, Brazil

    Zone 12a · No frost · 0 chill hours · 47 in rainZone 12a · No frost · 0 chill hours · 1,204 mm rain

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

    97%match
  9. 9

    🇧🇷GuarapariEspírito Santo, Brazil

    Zone 12a · No frost · 0 chill hours · 43 in rainZone 12a · No frost · 0 chill hours · 1,104 mm rain

    Shares 21 of your 22 great-fit crops

    97%match
  10. 10

    🇧🇷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
  11. 11

    🇧🇷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 21 of your 22 great-fit crops

    97%match
  12. 12

    🇧🇷ItapetingaBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 33 in rainZone 12a · No frost · 0 chill hours · 831 mm rain

    Shares 18 of your 22 great-fit crops · Also great there: table and raisin grapes

    97%match
  13. 13

    🇧🇷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
  14. 14

    🇧🇷São MateusEspírito Santo, Brazil

    Zone 12a · No frost · 0 chill hours · 47 in rainZone 12a · No frost · 0 chill hours · 1,190 mm rain

    Shares 21 of your 22 great-fit crops

    96%match
  15. 15

    🇧🇷PinheirosEspírito Santo, Brazil

    Zone 12a · No frost · 0 chill hours · 43 in rainZone 12a · No frost · 0 chill hours · 1,089 mm rain

    Shares 21 of your 22 great-fit crops

    96%match
  16. 16

    🇧🇷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

    96%match
  17. 17

    🇧🇷IguaíBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 37 in rainZone 12a · No frost · 0 chill hours · 937 mm rain

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

    96%match
  18. 18

    🇧🇷GuaratingaBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 40 in rainZone 12a · No frost · 0 chill hours · 1,021 mm rain

    Shares 21 of your 22 great-fit crops

    95%match
  19. 19

    🇧🇷Campos dos GoytacazesRio de Janeiro, Brazil

    Zone 12a · No frost · 0 chill hours · 40 in rainZone 12a · No frost · 0 chill hours · 1,017 mm rain

    Shares 18 of your 22 great-fit crops

    95%match
  20. 20

    🇧🇷QueimadosRio de Janeiro, Brazil

    Zone 11b · No frost · 0 chill hours · 60 in rainZone 11b · No frost · 0 chill hours · 1,526 mm rain

    Shares 21 of your 22 great-fit crops · Also great there: tea, cacao

    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 Araruama: 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.