Climatch

Land with a climate like Sertanópolis

🇧🇷Sertanópolis, Paraná, Brazil

The towns with the closest growing climate to Sertanópolis are Paraguaçu Paulista, Brazil (99% match), Terra Rica and Colorado. About 515,000 sq mi of land in 17 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 Sertanópolis are Paraguaçu Paulista, Brazil (99% match), Terra Rica and Colorado. About 1.3 million km² of land in 17 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 · 51 in rainZone 11a · No frost · 0 chill hours · 1,293 mm rain

What grows in Sertanópolis →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso do Sul, Brazil

    87k sq mi226k km² matching 80% or better

    For example Nova Andradina (99), Dourados (99)

  2. 2

    🇧🇷São Paulo, Brazil

    71k sq mi184k km² matching 80% or better

    For example Teodoro Sampaio (99), Cândido Mota (99)

  3. 3

    🇧🇷Paraná, Brazil

    40k sq mi103k km² matching 80% or better

    For example Andirá (99), Terra Rica (99)

  4. 4

    🇺🇸Florida, United States

    19k sq mi48k km² matching 80% or better

    For example Lake Wales (85), Haines City (85)

  5. 5

    🇦🇷Corrientes, Argentina

    16k sq mi40k km² matching 80% or better

    For example Ituzaingó (88), San Luis del Palmar (85)

  6. 6

    🇦🇷Misiones, Argentina

    13k sq mi33k km² matching 80% or better

    For example Puerto Iguazú (91), Puerto Rico (90)

  7. 7

    🇦🇷Chaco, Argentina

    12k sq mi32k km² matching 80% or better

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

  8. 8

    🇵🇾Concepción, Paraguay

    11k sq mi28k km² matching 80% or better

    For example Yby Yaú (95), Concepción (86)

  9. 9

    🇧🇴Santa Cruz Department, Bolivia

    7,400 sq mi19k km² matching 80% or better

    For example El Torno (88), Warnes (83)

  10. 10

    🇵🇾Caaguazú Department, Paraguay

    6,800 sq mi18k km² matching 80% or better

    For example Doctor Juan Eulogio Estigarribia (92), Caaguazú (92)

  11. 11

    🇵🇪Junin, Peru

    5,600 sq mi14k km² matching 80% or better

    For example San Martín de Pangoa (86), Satipo (86)

  12. 12

    🇵🇾Misiones Department, Paraguay

    5,100 sq mi13k km² matching 80% or better

    For example San Juan Bautista (88)

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

    🇧🇷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

    99%match
  2. 2

    🇧🇷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

    99%match
  3. 3

    🇧🇷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

    99%match
  4. 4

    🇧🇷OurinhosSão Paulo, Brazil

    Zone 11a · No frost · 4 chill hours · 50 in rainZone 11a · No frost · 4 chill hours · 1,275 mm rain

    Shares 23 of your 24 great-fit crops

    99%match
  5. 5

    🇧🇷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

    99%match
  6. 6

    🇧🇷Mirante do ParanapanemaSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 45 in rainZone 11b · No frost · 0 chill hours · 1,153 mm rain

    Shares 22 of your 24 great-fit crops

    99%match
  7. 7

    🇧🇷Santo Antônio da PlatinaParaná, Brazil

    Zone 11a · No frost · 7 chill hours · 50 in rainZone 11a · No frost · 7 chill hours · 1,281 mm rain

    Shares 23 of your 24 great-fit crops

    99%match
  8. 8

    🇧🇷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
  9. 9

    🇧🇷AssisSão Paulo, Brazil

    Zone 11a · No frost · 2 chill hours · 47 in rainZone 11a · No frost · 2 chill hours · 1,192 mm rain

    Shares 22 of your 24 great-fit crops

    99%match
  10. 10

    🇧🇷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
  11. 11

    🇧🇷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
  12. 12

    🇧🇷TupãSão Paulo, Brazil

    Zone 11a · No frost · 1 chill hours · 50 in rainZone 11a · No frost · 1 chill hours · 1,267 mm rain

    Shares 23 of your 24 great-fit crops

    98%match
  13. 13

    🇧🇷PirajuSão Paulo, Brazil

    Zone 11a · No frost · 4 chill hours · 49 in rainZone 11a · No frost · 4 chill hours · 1,245 mm rain

    Shares 22 of your 24 great-fit crops

    98%match
  14. 14

    🇧🇷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

    98%match
  15. 15

    🇧🇷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

    97%match
  16. 16

    🇧🇷ParanavaíParaná, Brazil

    Zone 11a · No frost · 4 chill hours · 48 in rainZone 11a · No frost · 4 chill hours · 1,219 mm rain

    Shares 22 of your 24 great-fit crops

    97%match
  17. 17

    🇧🇷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
  18. 18

    🇧🇷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
  19. 19

    🇧🇷LinsSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 48 in rainZone 11a · No frost · 0 chill hours · 1,224 mm rain

    Shares 23 of your 24 great-fit crops

    97%match
  20. 20

    🇧🇷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

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 Sertanópolis: 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.