Climatch

Land with a climate like Duque de Caxias

🇧🇷Duque de Caxias, Rio de Janeiro, Brazil

The towns with the closest growing climate to Duque de Caxias are Angra dos Reis, Brazil (99% match), Pinheiros and Macaé. About 710,000 sq mi of land in 25 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, São Paulo, Brazil and Bahia, Brazil.The towns with the closest growing climate to Duque de Caxias are Angra dos Reis, Brazil (99% match), Pinheiros and Macaé. About 1.8 million km² of land in 25 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, São Paulo, Brazil and Bahia, Brazil.

Your growing climate

Zone 11b · No frost · 0 chill hours · 57 in rainZone 11b · No frost · 0 chill hours · 1,458 mm rain

What grows in Duque de Caxias →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso do Sul, Brazil

    88k sq mi227k km² matching 80% or better

    For example Itaporã (94), Fátima do Sul (93)

  2. 2

    🇧🇷São Paulo, Brazil

    42k sq mi109k km² matching 80% or better

    For example Registro (94), Cajati (94)

  3. 3

    🇧🇷Bahia, Brazil

    29k sq mi75k km² matching 80% or better

    For example Posto da Mata (97), Itanhém (97)

  4. 4

    🇧🇴Santa Cruz Department, Bolivia

    22k sq mi56k km² matching 80% or better

    For example Villa Yapacaní (91), Warnes (88)

  5. 5

    🇺🇸Florida, United States

    15k sq mi39k km² matching 80% or better

    For example Port Saint Lucie (87), Richmond West (86)

  6. 6

    🇵🇪San Martín Department, Peru

    14k sq mi36k km² matching 80% or better

    For example Rioja (91), Moyobamba (88)

  7. 7

    🇧🇴Beni Department, Bolivia

    14k sq mi35k km² matching 80% or better

    For example Trinidad (82), San Borja (81)

  8. 8

    🇲🇽Veracruz, Mexico

    11k sq mi28k km² matching 80% or better

    For example Misantla (89), Coatzintla (89)

  9. 9

    🇨🇩Maniema, Democratic Republic of the Congo

    9,000 sq mi23k km² matching 80% or better

    For example Kampene (82), Kindu (80)

  10. 10

    🇵🇾Concepción, Paraguay

    8,500 sq mi22k km² matching 80% or better

    For example Yby Yaú (91), Concepción (83)

  11. 11

    🇵🇪Ucayali, Peru

    6,800 sq mi18k km² matching 80% or better

    For example Atalaya (85), San Fernando (77)

  12. 12

    🇵🇪Madre de Dios, Peru

    6,400 sq mi17k km² matching 80% or better

    For example Puerto Maldonado (84), Tambopata (84)

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

    🇧🇷Angra dos ReisRio de Janeiro, Brazil

    Zone 11b · No frost · 0 chill hours · 70 in rainZone 11b · No frost · 0 chill hours · 1,768 mm rain

    Shares 23 of your 24 great-fit crops · Also great there: potato

    99%match
  2. 2

    🇧🇷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 24 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 22 of your 24 great-fit crops

    99%match
  4. 4

    🇧🇷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 24 great-fit crops

    98%match
  5. 5

    🇧🇷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 24 great-fit crops

    98%match
  6. 6

    🇧🇷Casimiro de AbreuRio de Janeiro, Brazil

    Zone 11b · No frost · 0 chill hours · 46 in rainZone 11b · No frost · 0 chill hours · 1,177 mm rain

    Shares 21 of your 24 great-fit crops

    97%match
  7. 7

    🇧🇷Posto da MataBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 47 in rainZone 12a · No frost · 0 chill hours · 1,199 mm rain

    Shares 21 of your 24 great-fit crops

    97%match
  8. 8

    🇧🇷Vila VelhaEspírito Santo, Brazil

    Zone 12a · No frost · 0 chill hours · 48 in rainZone 12a · No frost · 0 chill hours · 1,222 mm rain

    Shares 23 of your 24 great-fit crops

    97%match
  9. 9

    🇧🇷NanuqueMinas Gerais, Brazil

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

    Shares 19 of your 24 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 24 great-fit crops

    97%match
  11. 11

    🇧🇷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 24 great-fit crops

    96%match
  12. 12

    🇧🇷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 24 great-fit crops

    96%match
  13. 13

    🇧🇷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 24 great-fit crops · Also great there: potato

    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 24 great-fit crops

    96%match
  15. 15

    🇧🇷Medeiros NetoBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 38 in rainZone 12a · No frost · 0 chill hours · 975 mm rain

    Shares 19 of your 24 great-fit crops · Also great there: table and raisin grapes

    96%match
  16. 16

    🇧🇷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 24 great-fit crops

    96%match
  17. 17

    🇧🇷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 24 great-fit crops

    96%match
  18. 18

    🇧🇷Teixeira de FreitasBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 42 in rainZone 12a · No frost · 0 chill hours · 1,057 mm rain

    Shares 21 of your 24 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 24 great-fit crops

    95%match
  20. 20

    🇧🇷Cachoeiras de MacacuRio de Janeiro, Brazil

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

    Shares 21 of your 24 great-fit crops · Also great there: potato

    94%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 Duque de Caxias: 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.