Climatch

Land with a climate like Caazapá

🇵🇾Caazapá, Paraguay

The towns with the closest growing climate to Caazapá are San Juan Bautista, Paraguay (99% match), Caaguazú and Coronel Oviedo. About 422,000 sq mi of land in 14 countries matches 80% or better, most of it in Rio Grande do Sul, Brazil, Mato Grosso do Sul, Brazil and Florida, United States.The towns with the closest growing climate to Caazapá are San Juan Bautista, Paraguay (99% match), Caaguazú and Coronel Oviedo. About 1.1 million km² of land in 14 countries matches 80% or better, most of it in Rio Grande do Sul, Brazil, Mato Grosso do Sul, Brazil and Florida, United States.

Your growing climate

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

What grows in Caazapá →

Regions with the most land like yours

  1. 1

    🇧🇷Rio Grande do Sul, Brazil

    47k sq mi121k km² matching 80% or better

    For example São Borja (96), Itaqui (94)

  2. 2

    🇧🇷Mato Grosso do Sul, Brazil

    45k sq mi116k km² matching 80% or better

    For example Amambai (98), Naviraí (97)

  3. 3

    🇺🇸Florida, United States

    38k sq mi99k km² matching 80% or better

    For example Port Saint Lucie (91), Florida Ridge (91)

  4. 4

    🇧🇷Paraná, Brazil

    36k sq mi93k km² matching 80% or better

    For example Foz do Iguaçu (99), Guaíra (98)

  5. 5

    🇦🇷Corrientes, Argentina

    34k sq mi88k km² matching 80% or better

    For example Ituzaingó (99), San Luis del Palmar (99)

  6. 6

    🇦🇷Chaco, Argentina

    17k sq mi45k km² matching 80% or better

    For example Barranqueras (97), Resistencia (97)

  7. 7

    🇦🇷Misiones, Argentina

    15k sq mi38k km² matching 80% or better

    For example Jardín América (99), Puerto Rico (99)

  8. 8

    🇦🇺Queensland, Australia

    13k sq mi34k km² matching 80% or better

    For example Gold Coast (91), Caloundra (90)

  9. 9

    🇺🇸Texas, United States

    12k sq mi30k km² matching 80% or better

    For example Pasadena (84), South Houston (84)

  10. 10

    🇵🇾Concepción, Paraguay

    11k sq mi28k km² matching 80% or better

    For example Yby Yaú (97), Concepción (89)

  11. 11

    🇵🇾Caaguazú Department, Paraguay

    6,800 sq mi18k km² matching 80% or better

    For example Caaguazú (99), Coronel Oviedo (99)

  12. 12

    🇿🇦KwaZulu-Natal, South Africa

    5,500 sq mi14k km² matching 80% or better

    For example Mtubatuba (94), Richards Bay (93)

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

    🇵🇾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
  2. 2

    🇵🇾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
  3. 3

    🇵🇾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

    99%match
  4. 4

    🇦🇷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

    99%match
  5. 5

    🇦🇷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
  6. 6

    🇦🇷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

    99%match
  7. 7

    🇵🇾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
  8. 8

    🇦🇷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

    99%match
  9. 9

    🇵🇾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

    99%match
  10. 10

    🇧🇷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

    98%match
  11. 11

    🇦🇷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
  12. 12

    🇵🇾Ciudad del EsteAlto Paraná Department, Paraguay

    Zone 10b · No frost · 12 chill hours · 68 in rainZone 10b · No frost · 12 chill hours · 1,722 mm rain

    Shares 23 of your 24 great-fit crops

    98%match
  13. 13

    🇦🇷MontecarloMisiones, Argentina

    Zone 10b · Frost 1 years in 10 · 31 chill hours · 60 in rainZone 10b · Frost 1 years in 10 · 31 chill hours · 1,528 mm rain

    Shares 21 of your 24 great-fit crops

    98%match
  14. 14

    🇧🇷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
  15. 15

    🇦🇷ApóstolesMisiones, Argentina

    Zone 10b · No frost · 24 chill hours · 64 in rainZone 10b · No frost · 24 chill hours · 1,618 mm rain

    Shares 22 of your 24 great-fit crops

    98%match
  16. 16

    🇧🇷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

    97%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 24 great-fit crops

    97%match
  18. 18

    🇧🇷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
  19. 19

    🇵🇾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

    97%match
  20. 20

    🇦🇷Puerto EsperanzaMisiones, Argentina

    Zone 10b · No frost · 33 chill hours · 65 in rainZone 10b · No frost · 33 chill hours · 1,640 mm rain

    Shares 21 of your 24 great-fit crops

    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 Caazapá: 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.