Climatch

Land with a climate like Presidente Venceslau

🇧🇷Presidente Venceslau, São Paulo, Brazil

The towns with the closest growing climate to Presidente Venceslau are Martinópolis, Brazil (99% match), Adamantina and Três Lagoas. About 709,000 sq mi of land in 20 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, São Paulo, Brazil and Mato Grosso, Brazil.The towns with the closest growing climate to Presidente Venceslau are Martinópolis, Brazil (99% match), Adamantina and Três Lagoas. About 1.8 million km² of land in 20 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, São Paulo, Brazil and Mato Grosso, Brazil.

Your growing climate

Zone 11b · No frost · 0 chill hours · 45 in rainZone 11b · No frost · 0 chill hours · 1,154 mm rain

What grows in Presidente Venceslau →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso do Sul, Brazil

    106k sq mi275k km² matching 80% or better

    For example Três Lagoas (99), Ribas do Rio Pardo (99)

  2. 2

    🇧🇷São Paulo, Brazil

    73k sq mi189k km² matching 80% or better

    For example Martinópolis (99), Andradina (99)

  3. 3

    🇧🇷Mato Grosso, Brazil

    47k sq mi122k km² matching 80% or better

    For example Rosário Oeste (87), Poconé (86)

  4. 4

    🇧🇴Santa Cruz Department, Bolivia

    28k sq mi72k km² matching 80% or better

    For example El Torno (99), Warnes (95)

  5. 5

    🇵🇾Concepción, Paraguay

    11k sq mi28k km² matching 80% or better

    For example Yby Yaú (94), Concepción (92)

  6. 6

    🇦🇷Formosa, Argentina

    8,900 sq mi23k km² matching 80% or better

    For example Formosa (84), Pirané (82)

  7. 7

    🇲🇿Zambezia Province, Mozambique

    7,800 sq mi20k km² matching 80% or better

    For example Gurúè (79), Alto Molocue (77)

  8. 8

    🇲🇿Gaza Province, Mozambique

    7,100 sq mi18k km² matching 80% or better

    For example Macia (91), Xai-Xai (90)

  9. 9

    🇺🇸Florida, United States

    6,700 sq mi17k km² matching 80% or better

    For example Immokalee (84), Lehigh Acres (83)

  10. 10

    🇲🇿Inhambane Province, Mozambique

    6,300 sq mi16k km² matching 80% or better

    For example Massinga (84), Maxixe (79)

  11. 11

    🇨🇳Yunnan, China

    5,600 sq mi14k km² matching 80% or better

    For example Mengla (89), Yunjinghong (88)

  12. 12

    🇵🇾Caaguazú Department, Paraguay

    5,100 sq mi13k km² matching 80% or better

    For example Coronel Oviedo (84), Caaguazú (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

    🇧🇷MartinópolisSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 47 in rainZone 11b · No frost · 0 chill hours · 1,203 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  2. 2

    🇧🇷AdamantinaSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 46 in rainZone 11a · No frost · 0 chill hours · 1,160 mm rain

    Shares 21 of your 22 great-fit crops

    99%match
  3. 3

    🇧🇷Três LagoasMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 49 in rainZone 11b · No frost · 0 chill hours · 1,241 mm rain

    Shares 21 of your 22 great-fit crops

    99%match
  4. 4

    🇧🇷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 22 great-fit crops

    99%match
  5. 5

    🇧🇷AraçatubaSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 48 in rainZone 11a · No frost · 0 chill hours · 1,213 mm rain

    Shares 21 of your 22 great-fit crops

    99%match
  6. 6

    🇧🇷MirandópolisSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 45 in rainZone 11a · No frost · 0 chill hours · 1,144 mm rain

    Shares 21 of your 22 great-fit crops

    99%match
  7. 7

    🇧🇷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 21 of your 22 great-fit crops · Also great there: cacao, tea

    99%match
  8. 8

    🇧🇷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 22 of your 22 great-fit crops · Also great there: tea, cacao, potato

    99%match
  9. 9

    🇧🇷Água ClaraMato 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 21 of your 22 great-fit crops · Also great there: cacao

    99%match
  10. 10

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

    99%match
  11. 11

    🇧🇷Ilha SolteiraSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 48 in rainZone 11b · No frost · 0 chill hours · 1,217 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  12. 12

    🇧🇷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 22 of your 22 great-fit crops · Also great there: potato, tea

    99%match
  13. 13

    🇧🇷BauruSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 45 in rainZone 11b · No frost · 0 chill hours · 1,143 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  14. 14

    🇧🇷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 21 of your 22 great-fit crops · Also great there: potato, tea

    99%match
  15. 15

    🇧🇷PenápolisSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 48 in rainZone 11a · No frost · 0 chill hours · 1,219 mm rain

    Shares 21 of your 22 great-fit crops

    99%match
  16. 16

    🇧🇴El TornoSanta Cruz Department, Bolivia

    Zone 11b · No frost · 0 chill hours · 43 in rainZone 11b · No frost · 0 chill hours · 1,086 mm rain

    Shares 21 of your 22 great-fit crops

    99%match
  17. 17

    🇧🇷Rio BrilhanteMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 55 in rainZone 11b · No frost · 0 chill hours · 1,404 mm rain

    Shares 22 of your 22 great-fit crops · Also great there: tea, potato, cacao

    99%match
  18. 18

    🇧🇷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 22 of your 22 great-fit crops · Also great there: tea, potato

    99%match
  19. 19

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

    98%match
  20. 20

    🇧🇷São Gabriel do OesteMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 56 in rainZone 11b · No frost · 0 chill hours · 1,421 mm rain

    Shares 22 of your 22 great-fit crops · Also great there: tea, cacao

    98%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 Presidente Venceslau: 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.