Climatch

Land with a climate like Maracaju

🇧🇷Maracaju, Mato Grosso do Sul, Brazil

The towns with the closest growing climate to Maracaju are Nova Alvorada do Sul, Brazil (99% match), Dourados and Bonito. About 576,000 sq mi of land in 19 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, São Paulo, Brazil and Florida, United States.The towns with the closest growing climate to Maracaju are Nova Alvorada do Sul, Brazil (99% match), Dourados and Bonito. About 1.5 million km² of land in 19 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 · 54 in rainZone 11b · No frost · 0 chill hours · 1,363 mm rain

What grows in Maracaju →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso do Sul, Brazil

    100k sq mi259k km² matching 80% or better

    For example Nova Alvorada do Sul (99), Dourados (99)

  2. 2

    🇧🇷São Paulo, Brazil

    60k sq mi156k km² matching 80% or better

    For example Pirapozinho (99), Rosana (99)

  3. 3

    🇺🇸Florida, United States

    29k sq mi76k km² matching 80% or better

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

  4. 4

    🇧🇷Paraná, Brazil

    24k sq mi62k km² matching 80% or better

    For example Sertanópolis (97), Terra Rica (96)

  5. 5

    🇧🇴Santa Cruz Department, Bolivia

    21k sq mi53k km² matching 80% or better

    For example El Torno (95), Villa Yapacaní (93)

  6. 6

    🇵🇾Concepción, Paraguay

    11k sq mi28k km² matching 80% or better

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

  7. 7

    🇦🇷Corrientes, Argentina

    9,800 sq mi25k km² matching 80% or better

    For example Ituzaingó (86), San Luis del Palmar (82)

  8. 8

    🇦🇷Formosa, Argentina

    8,900 sq mi23k km² matching 80% or better

    For example Formosa (93), Pirané (85)

  9. 9

    🇦🇷Chaco, Argentina

    8,000 sq mi21k km² matching 80% or better

    For example General José de San Martín (84), Resistencia (81)

  10. 10

    🇵🇾Caaguazú Department, Paraguay

    6,800 sq mi18k km² matching 80% or better

    For example Coronel Oviedo (95), Caaguazú (93)

  11. 11

    🇵🇾Misiones Department, Paraguay

    5,100 sq mi13k km² matching 80% or better

    For example San Juan Bautista (89)

  12. 12

    🇲🇽Chiapas, Mexico

    4,900 sq mi13k km² matching 80% or better

    For example Ocosingo (83), Yajalón (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

    🇧🇷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
  2. 2

    🇧🇷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
  3. 3

    🇧🇷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
  4. 4

    🇧🇷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
  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 24 great-fit crops

    99%match
  6. 6

    🇧🇷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

    99%match
  7. 7

    🇧🇷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

    99%match
  8. 8

    🇵🇾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
  9. 9

    🇧🇷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
  10. 10

    🇧🇷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 24 great-fit crops

    99%match
  11. 11

    🇧🇷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

    99%match
  12. 12

    🇧🇷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

    99%match
  13. 13

    🇧🇷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

    98%match
  14. 14

    🇧🇷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 24 great-fit crops

    98%match
  15. 15

    🇧🇷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

    98%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 24 great-fit crops

    98%match
  17. 17

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

    98%match
  18. 18

    🇧🇷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 24 great-fit crops

    97%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 24 great-fit crops

    97%match
  20. 20

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

    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 Maracaju: 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.