Climatch

Land with a climate like Rio Brilhante

🇧🇷Rio Brilhante, Mato Grosso do Sul, Brazil

The towns with the closest growing climate to Rio Brilhante are Jardim, Brazil (99% match), Bonito and Nova Andradina. About 594,000 sq mi of land in 20 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, São Paulo, Brazil and Florida, United States.The towns with the closest growing climate to Rio Brilhante are Jardim, Brazil (99% match), Bonito and Nova Andradina. About 1.5 million km² of land in 20 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, São Paulo, Brazil and Florida, United States.

Your growing climate

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

What grows in Rio Brilhante →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso do Sul, Brazil

    102k sq mi263k km² matching 80% or better

    For example Jardim (99), Bonito (99)

  2. 2

    🇧🇷São Paulo, Brazil

    58k sq mi149k km² matching 80% or better

    For example Pirapozinho (99), Rosana (99)

  3. 3

    🇺🇸Florida, United States

    27k sq mi71k km² matching 80% or better

    For example Belle Glade (89), Port Saint Lucie (89)

  4. 4

    🇧🇷Paraná, Brazil

    23k sq mi60k km² matching 80% or better

    For example Sertanópolis (96), Terra Rica (95)

  5. 5

    🇧🇴Santa Cruz Department, Bolivia

    23k sq mi59k km² matching 80% or better

    For example El Torno (95), Villa Yapacaní (95)

  6. 6

    🇵🇾Concepción, Paraguay

    11k sq mi28k km² matching 80% or better

    For example Yby Yaú (99), Concepción (95)

  7. 7

    🇦🇷Formosa, Argentina

    8,900 sq mi23k km² matching 80% or better

    For example Formosa (92), Pirané (84)

  8. 8

    🇦🇷Corrientes, Argentina

    7,400 sq mi19k km² matching 80% or better

    For example Ituzaingó (85), Corrientes (81)

  9. 9

    🇦🇷Misiones, Argentina

    6,900 sq mi18k km² matching 80% or better

    For example Jardín América (85), Puerto Iguazú (85)

  10. 10

    🇵🇾Caaguazú Department, Paraguay

    6,800 sq mi18k km² matching 80% or better

    For example Coronel Oviedo (94), Caaguazú (92)

  11. 11

    🇵🇾Misiones Department, Paraguay

    5,100 sq mi13k km² matching 80% or better

    For example San Juan Bautista (88)

  12. 12

    🇵🇪Junin, Peru

    4,400 sq mi11k km² matching 80% or better

    For example Satipo (91), San Martín de Pangoa (90)

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

    🇧🇷JardimMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 52 in rainZone 11b · No frost · 0 chill hours · 1,325 mm rain

    Shares 23 of your 25 great-fit crops

    99%match
  2. 2

    🇧🇷BonitoMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 51 in rainZone 11b · No frost · 0 chill hours · 1,294 mm rain

    Shares 23 of your 25 great-fit crops

    99%match
  3. 3

    🇧🇷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 25 great-fit crops

    99%match
  4. 4

    🇧🇷SidrolândiaMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 52 in rainZone 11b · No frost · 0 chill hours · 1,323 mm rain

    Shares 24 of your 25 great-fit crops

    99%match
  5. 5

    🇵🇾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 25 great-fit crops

    99%match
  6. 6

    🇧🇷Bela VistaMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 52 in rainZone 11b · No frost · 0 chill hours · 1,325 mm rain

    Shares 23 of your 25 great-fit crops

    99%match
  7. 7

    🇧🇷RosanaSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 47 in rainZone 11b · No frost · 0 chill hours · 1,182 mm rain

    Shares 23 of your 25 great-fit crops

    99%match
  8. 8

    🇧🇷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 25 great-fit crops

    99%match
  9. 9

    🇧🇷Presidente EpitácioSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 45 in rainZone 11b · No frost · 0 chill hours · 1,151 mm rain

    Shares 21 of your 25 great-fit crops

    99%match
  10. 10

    🇧🇷Teodoro SampaioSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 45 in rainZone 11a · No frost · 0 chill hours · 1,138 mm rain

    Shares 22 of your 25 great-fit crops

    98%match
  11. 11

    🇧🇷NaviraíMato Grosso do Sul, Brazil

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

    Shares 24 of your 25 great-fit crops

    98%match
  12. 12

    🇧🇷Ribas do Rio PardoMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 54 in rainZone 11b · No frost · 0 chill hours · 1,377 mm rain

    Shares 23 of your 25 great-fit crops

    98%match
  13. 13

    🇧🇷Presidente PrudenteSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 47 in rainZone 11b · No frost · 0 chill hours · 1,200 mm rain

    Shares 22 of your 25 great-fit crops

    98%match
  14. 14

    🇧🇷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 25 great-fit crops

    98%match
  15. 15

    🇧🇷AquidauanaMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 53 in rainZone 11b · No frost · 0 chill hours · 1,338 mm rain

    Shares 21 of your 25 great-fit crops

    97%match
  16. 16

    🇧🇷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 25 great-fit crops

    97%match
  17. 17

    🇧🇷DracenaSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 47 in rainZone 11b · No frost · 0 chill hours · 1,201 mm rain

    Shares 22 of your 25 great-fit crops

    97%match
  18. 18

    🇧🇷Campo GrandeMato Grosso do Sul, Brazil

    Zone 12a · No frost · 0 chill hours · 53 in rainZone 12a · No frost · 0 chill hours · 1,353 mm rain

    Shares 24 of your 25 great-fit crops

    97%match
  19. 19

    🇧🇷MirandaMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 47 in rainZone 11b · No frost · 0 chill hours · 1,204 mm rain

    Shares 20 of your 25 great-fit crops

    96%match
  20. 20

    🇧🇷Água ClaraMato 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 22 of your 25 great-fit crops

    96%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 Rio Brilhante: 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.