Climatch

Land with a climate like Naviraí

🇧🇷Naviraí, Mato Grosso do Sul, Brazil

The towns with the closest growing climate to Naviraí are Caarapó, Brazil (99% match), Amambai and Guaíra. About 489,000 sq mi of land in 16 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, São Paulo, Brazil and Paraná, Brazil.The towns with the closest growing climate to Naviraí are Caarapó, Brazil (99% match), Amambai and Guaíra. About 1.3 million km² of land in 16 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, São Paulo, Brazil and Paraná, Brazil.

Your growing climate

Zone 11a · No frost · 0 chill hours · 58 in rainZone 11a · No frost · 0 chill hours · 1,472 mm rain

What grows in Naviraí →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso do Sul, Brazil

    68k sq mi177k km² matching 80% or better

    For example Caarapó (99), Amambai (99)

  2. 2

    🇧🇷São Paulo, Brazil

    55k sq mi142k km² matching 80% or better

    For example Rosana (99), Teodoro Sampaio (98)

  3. 3

    🇧🇷Paraná, Brazil

    45k sq mi116k km² matching 80% or better

    For example Guaíra (99), Loanda (99)

  4. 4

    🇺🇸Florida, United States

    30k sq mi77k km² matching 80% or better

    For example Port Saint Lucie (87), Bartow (87)

  5. 5

    🇦🇷Corrientes, Argentina

    27k sq mi69k km² matching 80% or better

    For example Ituzaingó (96), Gobernador Virasora (93)

  6. 6

    🇦🇷Misiones, Argentina

    15k sq mi39k km² matching 80% or better

    For example Puerto Iguazú (98), Jardín América (96)

  7. 7

    🇦🇷Chaco, Argentina

    11k sq mi28k km² matching 80% or better

    For example Resistencia (90), Barranqueras (89)

  8. 8

    🇵🇾Concepción, Paraguay

    11k sq mi28k km² matching 80% or better

    For example Yby Yaú (97), Concepción (85)

  9. 9

    🇿🇦KwaZulu-Natal, South Africa

    8,100 sq mi21k km² matching 80% or better

    For example Mtubatuba (94), Empangeni (93)

  10. 10

    🇦🇺Queensland, Australia

    7,200 sq mi19k km² matching 80% or better

    For example Gold Coast (86), Sunshine Coast (86)

  11. 11

    🇵🇾Caaguazú Department, Paraguay

    6,800 sq mi18k km² matching 80% or better

    For example Doctor Juan Eulogio Estigarribia (98), Caaguazú (98)

  12. 12

    🇵🇾Misiones Department, Paraguay

    5,100 sq mi13k km² matching 80% or better

    For example San Juan Bautista (96)

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

    🇧🇷CaarapóMato Grosso do Sul, Brazil

    Zone 11a · No frost · 0 chill hours · 58 in rainZone 11a · No frost · 0 chill hours · 1,463 mm rain

    Shares 24 of your 24 great-fit crops

    99%match
  2. 2

    🇧🇷AmambaiMato Grosso do Sul, Brazil

    Zone 11a · No frost · 0 chill hours · 61 in rainZone 11a · No frost · 0 chill hours · 1,542 mm rain

    Shares 23 of your 24 great-fit crops

    99%match
  3. 3

    🇧🇷GuaíraParaná, Brazil

    Zone 11a · No frost · 1 chill hours · 61 in rainZone 11a · No frost · 1 chill hours · 1,562 mm rain

    Shares 23 of your 24 great-fit crops

    99%match
  4. 4

    🇧🇷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 24 of your 24 great-fit crops

    99%match
  5. 5

    🇧🇷Ponta PorãMato Grosso do Sul, Brazil

    Zone 11a · No frost · 0 chill hours · 61 in rainZone 11a · No frost · 0 chill hours · 1,546 mm rain

    Shares 23 of your 24 great-fit crops

    99%match
  6. 6

    🇧🇷LoandaParaná, Brazil

    Zone 11a · No frost · 0 chill hours · 49 in rainZone 11a · No frost · 0 chill hours · 1,232 mm rain

    Shares 23 of your 24 great-fit crops

    99%match
  7. 7

    🇧🇷AltôniaParaná, Brazil

    Zone 11a · No frost · 3 chill hours · 55 in rainZone 11a · No frost · 3 chill hours · 1,404 mm rain

    Shares 24 of your 24 great-fit crops

    99%match
  8. 8

    🇧🇷Terra RicaParaná, Brazil

    Zone 11a · No frost · 0 chill hours · 47 in rainZone 11a · No frost · 0 chill hours · 1,183 mm rain

    Shares 23 of your 24 great-fit crops

    99%match
  9. 9

    🇧🇷Nova AndradinaMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 52 in rainZone 11b · No frost · 0 chill hours · 1,314 mm rain

    Shares 24 of your 24 great-fit crops

    99%match
  10. 10

    🇧🇷ColoradoParaná, Brazil

    Zone 11a · No frost · 0 chill hours · 49 in rainZone 11a · No frost · 0 chill hours · 1,253 mm rain

    Shares 23 of your 24 great-fit crops

    99%match
  11. 11

    🇧🇷UmuaramaParaná, Brazil

    Zone 11a · No frost · 4 chill hours · 58 in rainZone 11a · No frost · 4 chill hours · 1,461 mm rain

    Shares 23 of your 24 great-fit crops

    99%match
  12. 12

    🇧🇷MaracajuMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 54 in rainZone 11b · No frost · 0 chill hours · 1,363 mm rain

    Shares 24 of your 24 great-fit crops

    98%match
  13. 13

    🇵🇾CaaguazúCaaguazú Department, Paraguay

    Zone 11a · No frost · 3 chill hours · 61 in rainZone 11a · No frost · 3 chill hours · 1,538 mm rain

    Shares 23 of your 24 great-fit crops

    98%match
  14. 14

    🇵🇾Ciudad del EsteAlto Paraná Department, Paraguay

    Zone 10b · No frost · 12 chill hours · 68 in rainZone 10b · No frost · 12 chill hours · 1,722 mm rain

    Shares 23 of your 24 great-fit crops

    98%match
  15. 15

    🇧🇷ParanavaíParaná, Brazil

    Zone 11a · No frost · 4 chill hours · 48 in rainZone 11a · No frost · 4 chill hours · 1,219 mm rain

    Shares 22 of your 24 great-fit crops

    98%match
  16. 16

    🇧🇷Rio BrilhanteMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 55 in rainZone 11b · No frost · 0 chill hours · 1,404 mm rain

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

    98%match
  17. 17

    🇧🇷Santa HelenaParaná, Brazil

    Zone 10b · No frost · 13 chill hours · 62 in rainZone 10b · No frost · 13 chill hours · 1,569 mm rain

    Shares 22 of your 24 great-fit crops

    98%match
  18. 18

    🇧🇷LondrinaParaná, Brazil

    Zone 11a · No frost · 3 chill hours · 59 in rainZone 11a · No frost · 3 chill hours · 1,500 mm rain

    Shares 23 of your 24 great-fit crops

    97%match
  19. 19

    🇧🇷Santo Antônio da PlatinaParaná, Brazil

    Zone 11a · No frost · 7 chill hours · 50 in rainZone 11a · No frost · 7 chill hours · 1,281 mm rain

    Shares 23 of your 24 great-fit crops

    97%match
  20. 20

    🇵🇾Yby YaúConcepción, Paraguay

    Zone 11b · No frost · 0 chill hours · 54 in rainZone 11b · No frost · 0 chill hours · 1,374 mm rain

    Shares 23 of your 24 great-fit crops

    97%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 Naviraí: 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.