Climatch

Land with a climate like Monte Azul Paulista

🇧🇷Monte Azul Paulista, São Paulo, Brazil

The towns with the closest growing climate to Monte Azul Paulista are São José do Rio Preto, Brazil (99% match), Votuporanga and Iturama. About 680,000 sq mi of land in 19 countries matches 80% or better, most of it in Minas Gerais, Brazil, Mato Grosso, Brazil and Mato Grosso do Sul, Brazil.The towns with the closest growing climate to Monte Azul Paulista are São José do Rio Preto, Brazil (99% match), Votuporanga and Iturama. About 1.8 million km² of land in 19 countries matches 80% or better, most of it in Minas Gerais, Brazil, Mato Grosso, Brazil and Mato Grosso do Sul, Brazil.

Your growing climate

Zone 11b · No frost · 0 chill hours · 52 in rainZone 11b · No frost · 0 chill hours · 1,331 mm rain

What grows in Monte Azul Paulista →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    139k sq mi361k km² matching 80% or better

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

  2. 2

    🇧🇷Mato Grosso, Brazil

    81k sq mi210k km² matching 80% or better

    For example Alto Araguaia (96), Chapada dos Guimarães (95)

  3. 3

    🇧🇷Mato Grosso do Sul, Brazil

    76k sq mi198k km² matching 80% or better

    For example Paranaíba (99), Cassilândia (99)

  4. 4

    🇧🇴Santa Cruz Department, Bolivia

    25k sq mi63k km² matching 80% or better

    For example San Ignacio de Velasco (90), El Torno (89)

  5. 5

    🇲🇲Shan State, Myanmar

    7,200 sq mi19k km² matching 80% or better

    For example Möng Yawng (85), Möng La (83)

  6. 6

    🇱🇦Luang Prabang Province, Laos

    5,100 sq mi13k km² matching 80% or better

    For example Luang Prabang (79)

  7. 7

    🇱🇦Oudômxai, Laos

    5,000 sq mi13k km² matching 80% or better

    For example Muang Xay (90)

  8. 8

    🇨🇳Yunnan, China

    4,700 sq mi12k km² matching 80% or better

    For example Yunjinghong (85), Mengla (84)

  9. 9

    🇲🇿Manica, Mozambique

    4,500 sq mi12k km² matching 80% or better

    For example Gondola (85), Chimoio (84)

  10. 10

    🇲🇼Southern Region, Malawi

    4,300 sq mi11k km² matching 80% or better

    For example Mwanza (85), Zomba (80)

  11. 11

    🇲🇿Maputo Province, Mozambique

    4,300 sq mi11k km² matching 80% or better

    For example Manhiça (84), Ressano Garcia (80)

  12. 12

    🇱🇦Bokeo, Laos

    4,200 sq mi11k km² matching 80% or better

    For example Ban Khoan (74), Ban Houakhoua (72)

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

    🇧🇷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
  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

    🇧🇷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
  4. 4

    🇧🇷JardinópolisSão Paulo, Brazil

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

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

    99%match
  5. 5

    🇧🇷José BonifácioSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 45 in rainZone 11b · No frost · 0 chill hours · 1,155 mm rain

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

    99%match
  7. 7

    🇧🇷Conceição das AlagoasMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 60 in rainZone 11b · No frost · 0 chill hours · 1,526 mm rain

    Shares 19 of your 21 great-fit crops

    99%match
  8. 8

    🇧🇷São Joaquim da BarraSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 59 in rainZone 11b · No frost · 0 chill hours · 1,499 mm rain

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

    99%match
  9. 9

    🇧🇷PirassunungaSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 51 in rainZone 11a · No frost · 0 chill hours · 1,285 mm rain

    Shares 20 of your 21 great-fit crops

    99%match
  10. 10

    🇧🇷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
  11. 11

    🇧🇷MatãoSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 52 in rainZone 11a · No frost · 0 chill hours · 1,313 mm rain

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

    99%match
  12. 12

    🇧🇷Campina VerdeMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 55 in rainZone 11b · No frost · 0 chill hours · 1,385 mm rain

    Shares 20 of your 21 great-fit crops

    99%match
  13. 13

    🇧🇷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
  14. 14

    🇧🇷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 21 great-fit crops

    99%match
  15. 15

    🇧🇷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 21 great-fit crops

    99%match
  16. 16

    🇧🇷São SimãoGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 56 in rainZone 11b · No frost · 0 chill hours · 1,411 mm rain

    Shares 20 of your 21 great-fit crops

    99%match
  17. 17

    🇧🇷CassilândiaMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 57 in rainZone 11b · No frost · 0 chill hours · 1,454 mm rain

    Shares 20 of your 21 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 21 great-fit crops

    99%match
  19. 19

    🇧🇷FrutalMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 63 in rainZone 11b · No frost · 0 chill hours · 1,602 mm rain

    Shares 19 of your 21 great-fit crops

    99%match
  20. 20

    🇧🇷PrataMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 60 in rainZone 11b · No frost · 0 chill hours · 1,525 mm rain

    Shares 20 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 Monte Azul Paulista: 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.