Climatch

Land with a climate like Nova Alvorada do Sul

🇧🇷Nova Alvorada do Sul, Mato Grosso do Sul, Brazil

The towns with the closest growing climate to Nova Alvorada do Sul are Maracaju, Brazil (99% match), Sidrolândia and Fátima do Sul. About 638,000 sq mi of land in 20 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, São Paulo, Brazil and Santa Cruz Department, Bolivia.The towns with the closest growing climate to Nova Alvorada do Sul are Maracaju, Brazil (99% match), Sidrolândia and Fátima do Sul. About 1.7 million km² of land in 20 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, São Paulo, Brazil and Santa Cruz Department, Bolivia.

Your growing climate

Zone 11b · No frost · 0 chill hours · 55 in rainZone 11b · No frost · 0 chill hours · 1,386 mm rain

What grows in Nova Alvorada do Sul →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso do Sul, Brazil

    103k sq mi267k km² matching 80% or better

    For example Maracaju (99), Sidrolândia (99)

  2. 2

    🇧🇷São Paulo, Brazil

    62k sq mi161k km² matching 80% or better

    For example Pirapozinho (99), Presidente Venceslau (99)

  3. 3

    🇧🇴Santa Cruz Department, Bolivia

    26k sq mi67k km² matching 80% or better

    For example El Torno (96), Villa Yapacaní (96)

  4. 4

    🇺🇸Florida, United States

    21k sq mi54k km² matching 80% or better

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

  5. 5

    🇧🇷Paraná, Brazil

    21k sq mi53k km² matching 80% or better

    For example Sertanópolis (95), Terra Rica (94)

  6. 6

    🇵🇾Concepción, Paraguay

    11k sq mi28k km² matching 80% or better

    For example Yby Yaú (98), Concepción (93)

  7. 7

    🇦🇷Formosa, Argentina

    8,300 sq mi22k km² matching 80% or better

    For example Formosa (89), Pirané (80)

  8. 8

    🇵🇾Caaguazú Department, Paraguay

    6,800 sq mi18k km² matching 80% or better

    For example Coronel Oviedo (92), Caaguazú (89)

  9. 9

    🇧🇴Beni Department, Bolivia

    6,600 sq mi17k km² matching 80% or better

    For example Trinidad (77), San Borja (76)

  10. 10

    🇵🇾Misiones Department, Paraguay

    5,100 sq mi13k km² matching 80% or better

    For example San Juan Bautista (85)

  11. 11

    🇨🇩Maniema, Democratic Republic of the Congo

    4,800 sq mi12k km² matching 80% or better

    For example Kampene (82), Kindu (77)

  12. 12

    🇨🇩North Kivu, Democratic Republic of the Congo

    4,500 sq mi12k km² matching 80% or better

    For example Mangina (83), Hyosha (82)

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

    🇧🇷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 25 great-fit crops

    99%match
  2. 2

    🇧🇷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
  3. 3

    🇧🇷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 24 of your 25 great-fit crops

    99%match
  4. 4

    🇧🇷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
  5. 5

    🇧🇷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
  6. 6

    🇧🇷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
  7. 7

    🇧🇷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 25 great-fit crops

    99%match
  8. 8

    🇧🇷Presidente VenceslauSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 45 in rainZone 11b · No frost · 0 chill hours · 1,154 mm rain

    Shares 22 of your 25 great-fit crops

    99%match
  9. 9

    🇧🇷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

    99%match
  10. 10

    🇧🇷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
  11. 11

    🇧🇷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

    99%match
  12. 12

    🇧🇷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
  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

    99%match
  14. 14

    🇧🇷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
  15. 15

    🇵🇾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

    98%match
  16. 16

    🇧🇷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

    98%match
  17. 17

    🇧🇷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

    98%match
  18. 18

    🇧🇷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
  19. 19

    🇧🇷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

    98%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

    98%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 Alvorada do Sul: 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.