Climatch

Land with a climate like Santa Cruz das Palmeiras

🇧🇷Santa Cruz das Palmeiras, São Paulo, Brazil

The towns with the closest growing climate to Santa Cruz das Palmeiras are Monte Alto, Brazil (99% match), Araraquara and Ibitinga. About 591,000 sq mi of land in 17 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Mato Grosso do Sul, Brazil.The towns with the closest growing climate to Santa Cruz das Palmeiras are Monte Alto, Brazil (99% match), Araraquara and Ibitinga. About 1.5 million km² of land in 17 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Mato Grosso do Sul, Brazil.

Your growing climate

Zone 11a · No frost · 0 chill hours · 50 in rainZone 11a · No frost · 0 chill hours · 1,265 mm rain

What grows in Santa Cruz das Palmeiras →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    160k sq mi416k km² matching 80% or better

    For example Monte Santo de Minas (98), Passos (98)

  2. 2

    🇧🇷São Paulo, Brazil

    76k sq mi197k km² matching 80% or better

    For example Matão (99), Guariba (99)

  3. 3

    🇧🇷Mato Grosso do Sul, Brazil

    70k sq mi182k km² matching 80% or better

    For example Aparecida do Taboado (99), Chapadão do Sul (98)

  4. 4

    🇲🇲Shan State, Myanmar

    12k sq mi32k km² matching 80% or better

    For example Kēng Tung (84), Möng La (83)

  5. 5

    🇨🇳Yunnan, China

    12k sq mi30k km² matching 80% or better

    For example Mengman (84), Mengla (84)

  6. 6

    🇧🇴Santa Cruz Department, Bolivia

    10k sq mi27k km² matching 80% or better

    For example El Torno (84), San Ignacio de Velasco (80)

  7. 7

    🇻🇳Điện Biên Province, Vietnam

    6,400 sq mi17k km² matching 80% or better

    For example Dien Bien Phu (76), Mường Lay (74)

  8. 8

    🇲🇿Maputo Province, Mozambique

    5,100 sq mi13k km² matching 80% or better

    For example Manhiça (84), Ressano Garcia (84)

  9. 9

    🇱🇦Luang Prabang Province, Laos

    5,100 sq mi13k km² matching 80% or better

    For example Luang Prabang (69)

  10. 10

    🇱🇦Oudômxai, Laos

    5,000 sq mi13k km² matching 80% or better

    For example Muang Xay (88)

  11. 11

    🇲🇿Manica, Mozambique

    4,800 sq mi12k km² matching 80% or better

    For example Gondola (85), Chimoio (84)

  12. 12

    🇱🇦Xiangkhoang, Laos

    4,800 sq mi12k km² matching 80% or better

    For example Muang Phônsavan (92)

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

    🇧🇷Monte AltoSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 52 in rainZone 11b · No frost · 0 chill hours · 1,311 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  2. 2

    🇧🇷AraraquaraSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 51 in rainZone 11a · No frost · 0 chill hours · 1,301 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  3. 3

    🇧🇷IbitingaSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 47 in rainZone 11a · No frost · 0 chill hours · 1,198 mm rain

    Shares 21 of your 22 great-fit crops

    99%match
  4. 4

    🇧🇷Novo HorizonteSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 48 in rainZone 11b · No frost · 0 chill hours · 1,209 mm rain

    Shares 20 of your 22 great-fit crops

    99%match
  5. 5

    🇧🇷JardinópolisSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 59 in rainZone 11b · No frost · 0 chill hours · 1,486 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  6. 6

    🇧🇷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 21 of your 22 great-fit crops

    99%match
  7. 7

    🇧🇷CatanduvaSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 50 in rainZone 11b · No frost · 0 chill hours · 1,280 mm rain

    Shares 20 of your 22 great-fit crops

    99%match
  8. 8

    🇧🇷JaúSão Paulo, Brazil

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

    Shares 22 of your 22 great-fit crops

    99%match
  9. 9

    🇧🇷São PedroSão Paulo, Brazil

    Zone 11a · No frost · 1 chill hours · 50 in rainZone 11a · No frost · 1 chill hours · 1,277 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  10. 10

    🇧🇷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 22 great-fit crops

    99%match
  11. 11

    🇧🇷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 22 great-fit crops · Also great there: banana

    99%match
  12. 12

    🇧🇷PiracicabaSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 48 in rainZone 11a · No frost · 0 chill hours · 1,230 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  13. 13

    🇧🇷PirajuíSão Paulo, Brazil

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

    Shares 22 of your 22 great-fit crops

    99%match
  14. 14

    🇧🇷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
  15. 15

    🇧🇷AltinópolisSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 60 in rainZone 11a · No frost · 0 chill hours · 1,521 mm rain

    Shares 21 of your 22 great-fit crops · Also great there: tea, banana

    99%match
  16. 16

    🇧🇷GuaratinguetáSão Paulo, Brazil

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

    Shares 22 of your 22 great-fit crops

    99%match
  17. 17

    🇧🇷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 22 great-fit crops

    99%match
  18. 18

    🇧🇷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 22 great-fit crops

    99%match
  19. 19

    🇧🇷ItapiraSão Paulo, Brazil

    Zone 11a · No frost · 4 chill hours · 51 in rainZone 11a · No frost · 4 chill hours · 1,308 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  20. 20

    🇧🇷LinsSão Paulo, Brazil

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

    Shares 22 of your 22 great-fit crops · Also great there: banana

    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 Santa Cruz das Palmeiras: 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.