Climatch

Land with a climate like Caacupé

🇵🇾Caacupé, Cordillera Department, Paraguay

The towns with the closest growing climate to Caacupé are Formosa, Argentina (99% match), Pilar and Villarrica. About 454,000 sq mi of land in 16 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, Florida, United States and Corrientes, Argentina.The towns with the closest growing climate to Caacupé are Formosa, Argentina (99% match), Pilar and Villarrica. About 1.2 million km² of land in 16 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, Florida, United States and Corrientes, Argentina.

Your growing climate

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

What grows in Caacupé →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso do Sul, Brazil

    56k sq mi146k km² matching 80% or better

    For example Amambai (97), Caarapó (97)

  2. 2

    🇺🇸Florida, United States

    43k sq mi110k km² matching 80% or better

    For example Belle Glade (93), Port Saint Lucie (92)

  3. 3

    🇦🇷Corrientes, Argentina

    34k sq mi88k km² matching 80% or better

    For example Ituzaingó (98), San Luis del Palmar (98)

  4. 4

    🇧🇷Paraná, Brazil

    27k sq mi69k km² matching 80% or better

    For example Guaíra (95), Foz do Iguaçu (94)

  5. 5

    🇦🇷Chaco, Argentina

    23k sq mi61k km² matching 80% or better

    For example General José de San Martín (98), Barranqueras (98)

  6. 6

    🇧🇷São Paulo, Brazil

    23k sq mi60k km² matching 80% or better

    For example Rosana (94), Teodoro Sampaio (91)

  7. 7

    🇦🇺Queensland, Australia

    22k sq mi57k km² matching 80% or better

    For example Hervey Bay (93), Bundaberg (92)

  8. 8

    🇦🇷Misiones, Argentina

    14k sq mi35k km² matching 80% or better

    For example Posadas (97), Jardín América (97)

  9. 9

    🇵🇾Concepción, Paraguay

    11k sq mi28k km² matching 80% or better

    For example Yby Yaú (98), Concepción (94)

  10. 10

    🇵🇾Caaguazú Department, Paraguay

    6,800 sq mi18k km² matching 80% or better

    For example Caaguazú (99), Doctor Juan Eulogio Estigarribia (98)

  11. 11

    🇿🇦KwaZulu-Natal, South Africa

    6,300 sq mi16k km² matching 80% or better

    For example Mtubatuba (96), Empangeni (93)

  12. 12

    🇺🇸Texas, United States

    5,500 sq mi14k km² matching 80% or better

    For example Victoria (82), Portland (80)

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

    🇦🇷FormosaArgentina

    Zone 11a · No frost · 5 chill hours · 53 in rainZone 11a · No frost · 5 chill hours · 1,344 mm rain

    Shares 23 of your 24 great-fit crops

    99%match
  2. 2

    🇵🇾PilarÑeembucú Department, Paraguay

    Zone 10b · No frost · 11 chill hours · 53 in rainZone 10b · No frost · 11 chill hours · 1,343 mm rain

    Shares 24 of your 24 great-fit crops

    99%match
  3. 3

    🇵🇾VillarricaGuairá, Paraguay

    Zone 11a · No frost · 0 chill hours · 59 in rainZone 11a · No frost · 0 chill hours · 1,511 mm rain

    Shares 23 of your 24 great-fit crops

    99%match
  4. 4

    🇵🇾San Juan BautistaMisiones Department, Paraguay

    Zone 11a · No frost · 5 chill hours · 58 in rainZone 11a · No frost · 5 chill hours · 1,485 mm rain

    Shares 24 of your 24 great-fit crops

    99%match
  5. 5

    🇵🇾CaazapáParaguay

    Zone 11a · No frost · 2 chill hours · 56 in rainZone 11a · No frost · 2 chill hours · 1,410 mm rain

    Shares 24 of your 24 great-fit crops

    99%match
  6. 6

    🇵🇾CaaguazúCaaguazú Department, Paraguay

    Zone 11a · No frost · 3 chill hours · 61 in rainZone 11a · No frost · 3 chill hours · 1,538 mm rain

    Shares 23 of your 24 great-fit crops

    99%match
  7. 7

    🇦🇷ItuzaingóCorrientes, Argentina

    Zone 11a · No frost · 9 chill hours · 55 in rainZone 11a · No frost · 9 chill hours · 1,403 mm rain

    Shares 24 of your 24 great-fit crops

    98%match
  8. 8

    🇦🇷General José de San MartínChaco, Argentina

    Zone 10b · No frost · 23 chill hours · 45 in rainZone 10b · No frost · 23 chill hours · 1,135 mm rain

    Shares 21 of your 24 great-fit crops

    98%match
  9. 9

    🇦🇷CorrientesArgentina

    Zone 10b · No frost · 18 chill hours · 54 in rainZone 10b · No frost · 18 chill hours · 1,368 mm rain

    Shares 23 of your 24 great-fit crops

    98%match
  10. 10

    🇵🇾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

    98%match
  11. 11

    🇧🇷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

    97%match
  12. 12

    🇦🇷PiranéFormosa, Argentina

    Zone 10b · No frost · 10 chill hours · 40 in rainZone 10b · No frost · 10 chill hours · 1,021 mm rain

    Shares 21 of your 24 great-fit crops

    97%match
  13. 13

    🇦🇷PosadasMisiones, Argentina

    Zone 10b · No frost · 11 chill hours · 66 in rainZone 10b · No frost · 11 chill hours · 1,685 mm rain

    Shares 23 of your 24 great-fit crops

    97%match
  14. 14

    🇧🇷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

    97%match
  15. 15

    🇦🇷Jardín AméricaMisiones, Argentina

    Zone 10b · No frost · 11 chill hours · 58 in rainZone 10b · No frost · 11 chill hours · 1,481 mm rain

    Shares 24 of your 24 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 24 great-fit crops

    96%match
  17. 17

    🇧🇷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

    96%match
  18. 18

    🇦🇷San LorenzoCorrientes, Argentina

    Zone 10b · Frost 1 years in 10 · 50 chill hours · 43 in rainZone 10b · Frost 1 years in 10 · 50 chill hours · 1,085 mm rain

    Shares 19 of your 24 great-fit crops

    96%match
  19. 19

    🇿🇦MtubatubaKwaZulu-Natal, South Africa

    Zone 11b · No frost · 0 chill hours · 42 in rainZone 11b · No frost · 0 chill hours · 1,070 mm rain

    Shares 23 of your 24 great-fit crops

    96%match
  20. 20

    🇧🇷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

    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 Caacupé: 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.