Climatch

Land with a climate like Itaporã

🇧🇷Itaporã, Mato Grosso do Sul, Brazil

The towns with the closest growing climate to Itaporã are Nova Alvorada do Sul, Brazil (99% match), Nova Andradina and Naviraí. About 568,000 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 Itaporã are Nova Alvorada do Sul, Brazil (99% match), Nova Andradina and Naviraí. 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 · 1,403 mm rain

What grows in Itaporã →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso do Sul, Brazil

    95k sq mi246k km² matching 80% or better

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

  2. 2

    🇧🇷São Paulo, Brazil

    58k sq mi151k km² matching 80% or better

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

  3. 3

    🇺🇸Florida, United States

    33k sq mi85k km² matching 80% or better

    For example Port Saint Lucie (91), Belle Glade (91)

  4. 4

    🇧🇷Paraná, Brazil

    28k sq mi74k km² matching 80% or better

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

  5. 5

    🇧🇴Santa Cruz Department, Bolivia

    17k sq mi43k km² matching 80% or better

    For example El Torno (93), Villa Yapacaní (92)

  6. 6

    🇦🇷Corrientes, Argentina

    14k sq mi36k km² matching 80% or better

    For example Ituzaingó (90), Corrientes (85)

  7. 7

    🇦🇷Misiones, Argentina

    12k sq mi30k km² matching 80% or better

    For example Jardín América (90), Puerto Iguazú (90)

  8. 8

    🇵🇾Concepción, Paraguay

    11k sq mi28k km² matching 80% or better

    For example Yby Yaú (99), Concepción (93)

  9. 9

    🇦🇷Chaco, Argentina

    9,900 sq mi26k km² matching 80% or better

    For example General José de San Martín (85), Resistencia (84)

  10. 10

    🇿🇦KwaZulu-Natal, South Africa

    7,000 sq mi18k km² matching 80% or better

    For example Mtubatuba (94), Richards Bay (91)

  11. 11

    🇵🇾Caaguazú Department, Paraguay

    6,800 sq mi18k km² matching 80% or better

    For example Coronel Oviedo (96), Caaguazú (94)

  12. 12

    🇲🇽Veracruz, Mexico

    5,300 sq mi14k km² matching 80% or better

    For example Córdoba (84), Tlapacoyan (84)

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

    🇧🇷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
  3. 3

    🇧🇷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
  4. 4

    🇧🇷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
  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 24 great-fit crops

    99%match
  6. 6

    🇧🇷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
  7. 7

    🇧🇷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
  8. 8

    🇧🇷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
  9. 9

    🇧🇷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
  10. 10

    🇧🇷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
  11. 11

    🇧🇷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

    98%match
  12. 12

    🇧🇷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

    97%match
  13. 13

    🇧🇷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
  14. 14

    🇧🇷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

    97%match
  15. 15

    🇧🇷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
  16. 16

    🇵🇾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
  17. 17

    🇧🇷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

    96%match
  18. 18

    🇵🇾AsunciónAsuncion, Paraguay

    Zone 11a · No frost · 0 chill hours · 50 in rainZone 11a · No frost · 0 chill hours · 1,270 mm rain

    Shares 22 of your 24 great-fit crops

    95%match
  19. 19

    🇧🇷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

    95%match
  20. 20

    🇧🇷Paraguaçu PaulistaSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 48 in rainZone 11a · No frost · 0 chill hours · 1,221 mm rain

    Shares 23 of your 24 great-fit crops

    95%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 Itaporã: 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.