Climatch

Land with a climate like Dourados

🇧🇷Dourados, Mato Grosso do Sul, Brazil

The towns with the closest growing climate to Dourados are Maracaju, Brazil (99% match), Naviraí and Amambai. About 540,000 sq mi of land in 19 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 Dourados are Maracaju, Brazil (99% match), Naviraí and Amambai. About 1.4 million km² of land in 19 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 · 56 in rainZone 11a · No frost · 0 chill hours · 1,423 mm rain

What grows in Dourados →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso do Sul, Brazil

    90k sq mi234k km² matching 80% or better

    For example Maracaju (99), Naviraí (99)

  2. 2

    🇧🇷São Paulo, Brazil

    62k sq mi161k km² matching 80% or better

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

  3. 3

    🇧🇷Paraná, Brazil

    33k sq mi86k km² matching 80% or better

    For example Sertanópolis (99), Terra Rica (98)

  4. 4

    🇺🇸Florida, United States

    31k sq mi80k km² matching 80% or better

    For example Port Saint Lucie (90), Belle Glade (89)

  5. 5

    🇦🇷Corrientes, Argentina

    16k sq mi42k km² matching 80% or better

    For example Ituzaingó (91), Corrientes (87)

  6. 6

    🇦🇷Misiones, Argentina

    13k sq mi32k km² matching 80% or better

    For example Puerto Iguazú (92), Jardín América (92)

  7. 7

    🇧🇴Santa Cruz Department, Bolivia

    12k sq mi32k km² matching 80% or better

    For example El Torno (92), Villa Yapacaní (91)

  8. 8

    🇵🇾Concepción, Paraguay

    11k sq mi28k km² matching 80% or better

    For example Yby Yaú (99), Concepción (92)

  9. 9

    🇦🇷Chaco, Argentina

    10k sq mi27k km² matching 80% or better

    For example Resistencia (86), General José de San Martín (86)

  10. 10

    🇵🇾Caaguazú Department, Paraguay

    6,800 sq mi18k km² matching 80% or better

    For example Coronel Oviedo (96), Caaguazú (96)

  11. 11

    🇵🇪Junin, Peru

    6,200 sq mi16k km² matching 80% or better

    For example Satipo (89), San Martín de Pangoa (89)

  12. 12

    🇿🇦KwaZulu-Natal, South Africa

    6,000 sq mi16k km² matching 80% or better

    For example Mtubatuba (93), Empangeni (91)

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 24 great-fit crops

    99%match
  2. 2

    🇧🇷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 24 great-fit crops

    99%match
  3. 3

    🇧🇷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
  4. 4

    🇧🇷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
  5. 5

    🇧🇷Nova Alvorada do SulMato Grosso do Sul, Brazil

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

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

    99%match
  6. 6

    🇧🇷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
  7. 7

    🇵🇾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

    99%match
  8. 8

    🇧🇷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 24 great-fit crops

    99%match
  9. 9

    🇧🇷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 24 great-fit crops

    99%match
  10. 10

    🇧🇷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 24 great-fit crops

    98%match
  11. 11

    🇧🇷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

    98%match
  12. 12

    🇧🇷ItaquiraíMato Grosso do Sul, Brazil

    Zone 11a · No frost · 0 chill hours · 58 in rainZone 11a · No frost · 0 chill hours · 1,470 mm rain

    Shares 24 of your 24 great-fit crops

    98%match
  13. 13

    🇧🇷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

    97%match
  14. 14

    🇧🇷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

    97%match
  15. 15

    🇧🇷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 24 great-fit crops

    97%match
  16. 16

    🇧🇷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

    97%match
  17. 17

    🇧🇷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 24 great-fit crops

    97%match
  18. 18

    🇧🇷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 23 of your 24 great-fit crops · Also great there: cacao

    96%match
  19. 19

    🇵🇾Coronel OviedoCaaguazú Department, Paraguay

    Zone 11a · No frost · 0 chill hours · 58 in rainZone 11a · No frost · 0 chill hours · 1,484 mm rain

    Shares 24 of your 24 great-fit crops

    96%match
  20. 20

    🇧🇷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 24 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 Dourados: 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.