Climatch

Land with a climate like Itápolis

🇧🇷Itápolis, São Paulo, Brazil

The towns with the closest growing climate to Itápolis are Araçatuba, Brazil (99% match), Votuporanga and Jales. About 699,000 sq mi of land in 21 countries matches 80% or better, most of it in Minas Gerais, Brazil, Mato Grosso do Sul, Brazil and São Paulo, Brazil.The towns with the closest growing climate to Itápolis are Araçatuba, Brazil (99% match), Votuporanga and Jales. About 1.8 million km² of land in 21 countries matches 80% or better, most of it in Minas Gerais, Brazil, Mato Grosso do Sul, Brazil and São Paulo, Brazil.

Your growing climate

Zone 11b · No frost · 0 chill hours · 48 in rainZone 11b · No frost · 0 chill hours · 1,228 mm rain

What grows in Itápolis →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    151k sq mi391k km² matching 80% or better

    For example Iturama (99), Conceição das Alagoas (98)

  2. 2

    🇧🇷Mato Grosso do Sul, Brazil

    88k sq mi229k km² matching 80% or better

    For example Aparecida do Taboado (99), Paranaíba (99)

  3. 3

    🇧🇷São Paulo, Brazil

    76k sq mi197k km² matching 80% or better

    For example Pradópolis (99), José Bonifácio (99)

  4. 4

    🇧🇴Santa Cruz Department, Bolivia

    23k sq mi59k km² matching 80% or better

    For example El Torno (91), San Ignacio de Velasco (87)

  5. 5

    🇲🇲Shan State, Myanmar

    9,700 sq mi25k km² matching 80% or better

    For example Kēng Tung (85), Möng La (85)

  6. 6

    🇲🇿Zambezia Province, Mozambique

    8,600 sq mi22k km² matching 80% or better

    For example Alto Molocue (82), Morrumbala (82)

  7. 7

    🇨🇳Yunnan, China

    8,600 sq mi22k km² matching 80% or better

    For example Mengla (87), Yunjinghong (86)

  8. 8

    🇻🇳Điện Biên Province, Vietnam

    6,400 sq mi17k km² matching 80% or better

    For example Dien Bien Phu (80), Mường Lay (79)

  9. 9

    🇲🇿Gaza Province, Mozambique

    5,700 sq mi15k km² matching 80% or better

    For example Macia (88), Xilembene (84)

  10. 10

    🇲🇿Maputo Province, Mozambique

    5,400 sq mi14k km² matching 80% or better

    For example Manhiça (89), Boane (84)

  11. 11

    🇱🇦Luang Prabang Province, Laos

    5,100 sq mi13k km² matching 80% or better

    For example Luang Prabang (78)

  12. 12

    🇱🇦Oudômxai, Laos

    5,000 sq mi13k km² matching 80% or better

    For example Muang Xay (91)

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

    🇧🇷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 21 great-fit crops

    99%match
  2. 2

    🇧🇷VotuporangaSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 49 in rainZone 11b · No frost · 0 chill hours · 1,232 mm rain

    Shares 20 of your 21 great-fit crops

    99%match
  3. 3

    🇧🇷JalesSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 46 in rainZone 11b · No frost · 0 chill hours · 1,173 mm rain

    Shares 20 of your 21 great-fit crops

    99%match
  4. 4

    🇧🇷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 21 great-fit crops

    99%match
  5. 5

    🇧🇷SerranaSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 58 in rainZone 11a · No frost · 0 chill hours · 1,461 mm rain

    Shares 21 of your 21 great-fit crops · Also great there: banana, tea, potato

    99%match
  6. 6

    🇧🇷BebedouroSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 53 in rainZone 11b · No frost · 0 chill hours · 1,354 mm rain

    Shares 21 of your 21 great-fit crops

    99%match
  7. 7

    🇧🇷MococaSão Paulo, Brazil

    Zone 11a · No frost · 2 chill hours · 54 in rainZone 11a · No frost · 2 chill hours · 1,371 mm rain

    Shares 21 of your 21 great-fit crops · Also great there: potato

    99%match
  8. 8

    🇧🇷Ribeirão PretoSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 59 in rainZone 11b · No frost · 0 chill hours · 1,500 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: potato

    99%match
  9. 9

    🇧🇷Santa Fé do SulSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 47 in rainZone 11b · No frost · 0 chill hours · 1,206 mm rain

    Shares 20 of your 21 great-fit crops

    99%match
  10. 10

    🇧🇷BauruSão Paulo, Brazil

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

    Shares 21 of your 21 great-fit crops · Also great there: banana

    99%match
  11. 11

    🇧🇷São José do Rio PretoSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 50 in rainZone 11b · No frost · 0 chill hours · 1,261 mm rain

    Shares 20 of your 21 great-fit crops

    99%match
  12. 12

    🇧🇷PirajuíSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 46 in rainZone 11a · No frost · 0 chill hours · 1,170 mm rain

    Shares 21 of your 21 great-fit crops · Also great there: potato

    99%match
  13. 13

    🇧🇷AndradinaSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 46 in rainZone 11b · No frost · 0 chill hours · 1,180 mm rain

    Shares 21 of your 21 great-fit crops

    99%match
  14. 14

    🇧🇷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 21 great-fit crops

    99%match
  15. 15

    🇧🇷OlímpiaSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 52 in rainZone 11b · No frost · 0 chill hours · 1,314 mm rain

    Shares 20 of your 21 great-fit crops

    99%match
  16. 16

    🇧🇷IturamaMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 49 in rainZone 11b · No frost · 0 chill hours · 1,249 mm rain

    Shares 20 of your 21 great-fit crops

    99%match
  17. 17

    🇧🇷ParanaíbaMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 55 in rainZone 11b · No frost · 0 chill hours · 1,396 mm rain

    Shares 20 of your 21 great-fit crops

    99%match
  18. 18

    🇧🇷LinsSão Paulo, Brazil

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

    Shares 21 of your 21 great-fit crops · Also great there: banana, potato

    99%match
  19. 19

    🇧🇷JaúSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 49 in rainZone 11a · No frost · 0 chill hours · 1,243 mm rain

    Shares 21 of your 21 great-fit crops · Also great there: potato

    99%match
  20. 20

    🇧🇷GuaratinguetáSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 53 in rainZone 11b · No frost · 0 chill hours · 1,336 mm rain

    Shares 21 of your 21 great-fit crops · Also great there: potato

    99%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 Itápolis: 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.