Climatch

Land with a climate like Nova Iguaçu

🇧🇷Nova Iguaçu, Rio de Janeiro, Brazil

The towns with the closest growing climate to Nova Iguaçu are Angra dos Reis, Brazil (99% match), Macaé and Pinheiros. About 601,000 sq mi of land in 23 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 Nova Iguaçu are Angra dos Reis, Brazil (99% match), Macaé and Pinheiros. About 1.6 million km² of land in 23 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 · 61 in rainZone 11b · No frost · 0 chill hours · 1,550 mm rain

What grows in Nova Iguaçu →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso do Sul, Brazil

    83k sq mi215k km² matching 80% or better

    For example Itaporã (95), Fátima do Sul (94)

  2. 2

    🇧🇷São Paulo, Brazil

    47k sq mi121k km² matching 80% or better

    For example Cajati (95), Registro (95)

  3. 3

    🇧🇷Bahia, Brazil

    26k sq mi67k km² matching 80% or better

    For example Itanhém (95), Posto da Mata (95)

  4. 4

    🇧🇴Santa Cruz Department, Bolivia

    15k sq mi39k km² matching 80% or better

    For example Villa Yapacaní (89), El Torno (86)

  5. 5

    🇺🇸Florida, United States

    15k sq mi38k km² matching 80% or better

    For example Port Saint Lucie (87), Belle Glade (86)

  6. 6

    🇵🇪San Martín Department, Peru

    13k sq mi35k km² matching 80% or better

    For example Rioja (90), Moyobamba (88)

  7. 7

    🇲🇽Veracruz, Mexico

    10k sq mi26k km² matching 80% or better

    For example Misantla (89), Tlapacoyan (88)

  8. 8

    🇧🇴Beni Department, Bolivia

    9,200 sq mi24k km² matching 80% or better

    For example Trinidad (79), San Borja (77)

  9. 9

    🇵🇾Concepción, Paraguay

    7,700 sq mi20k km² matching 80% or better

    For example Yby Yaú (91), Concepción (82)

  10. 10

    🇵🇾Caaguazú Department, Paraguay

    6,200 sq mi16k km² matching 80% or better

    For example Coronel Oviedo (84), Doctor Juan Eulogio Estigarribia (81)

  11. 11

    🇵🇪Ucayali, Peru

    6,200 sq mi16k km² matching 80% or better

    For example Atalaya (82), San Fernando (73)

  12. 12

    🇵🇪Junin, Peru

    6,200 sq mi16k km² matching 80% or better

    For example Satipo (92), San Martín de Pangoa (92)

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 24 of your 24 great-fit crops

    99%match
  2. 2

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

    97%match
  3. 3

    🇧🇷PinheirosEspírito Santo, Brazil

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

    Shares 20 of your 24 great-fit crops · Also great there: fig

    97%match
  4. 4

    🇧🇷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 20 of your 24 great-fit crops · Also great there: fig

    97%match
  5. 5

    🇧🇷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 19 of your 24 great-fit crops · Also great there: fig

    96%match
  6. 6

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

    96%match
  7. 7

    🇧🇷VitóriaEspírito Santo, Brazil

    Zone 12a · No frost · 0 chill hours · 48 in rainZone 12a · No frost · 0 chill hours · 1,209 mm rain

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

    96%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 24 great-fit crops · Also great there: fig

    96%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 19 of your 24 great-fit crops · Also great there: fig

    96%match
  10. 10

    🇧🇷ParatyRio de Janeiro, Brazil

    Zone 11b · No frost · 0 chill hours · 90 in rainZone 11b · No frost · 0 chill hours · 2,297 mm rain

    Shares 24 of your 24 great-fit crops

    95%match
  11. 11

    🇧🇷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 20 of your 24 great-fit crops · Also great there: fig

    95%match
  12. 12

    🇧🇷EcoporangaEspírito Santo, Brazil

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

    Shares 18 of your 24 great-fit crops · Also great there: fig

    95%match
  13. 13

    🇧🇷RegistroSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 63 in rainZone 11b · No frost · 0 chill hours · 1,593 mm rain

    Shares 24 of your 24 great-fit crops

    95%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 19 of your 24 great-fit crops · Also great there: fig

    95%match
  15. 15

    🇧🇷NanuqueMinas 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 24 great-fit crops · Also great there: fig

    95%match
  16. 16

    🇧🇷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 19 of your 24 great-fit crops · Also great there: fig

    94%match
  17. 17

    🇧🇷Fátima do SulMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 57 in rainZone 11b · No frost · 0 chill hours · 1,445 mm rain

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

    94%match
  18. 18

    🇧🇷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 20 of your 24 great-fit crops · Also great there: fig

    94%match
  19. 19

    🇧🇷DouradosMato Grosso do Sul, Brazil

    Zone 11a · No frost · 0 chill hours · 56 in rainZone 11a · No frost · 0 chill hours · 1,423 mm rain

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

    94%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: fig

    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 Nova Iguaçu: 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.