Climatch

Land with a climate like Batatais

🇧🇷Batatais, São Paulo, Brazil

The towns with the closest growing climate to Batatais are Sacramento, Brazil (99% match), São João da Boa Vista and Mococa. About 467,000 sq mi of land in 17 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Goiás, Brazil.The towns with the closest growing climate to Batatais are Sacramento, Brazil (99% match), São João da Boa Vista and Mococa. About 1.2 million km² of land in 17 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Goiás, Brazil.

Your growing climate

Zone 11a · No frost · 0 chill hours · 61 in rainZone 11a · No frost · 0 chill hours · 1,557 mm rain

What grows in Batatais →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    129k sq mi334k km² matching 80% or better

    For example Sacramento (99), Cássia (99)

  2. 2

    🇧🇷São Paulo, Brazil

    76k sq mi197k km² matching 80% or better

    For example São José do Rio Pardo (99), Américo Brasiliense (99)

  3. 3

    🇧🇷Goiás, Brazil

    50k sq mi130k km² matching 80% or better

    For example Mineiros (97), Jataí (94)

  4. 4

    🇨🇳Yunnan, China

    15k sq mi40k km² matching 80% or better

    For example Mengman (84), Menghuan (81)

  5. 5

    🇲🇲Shan State, Myanmar

    10k sq mi27k km² matching 80% or better

    For example Panglong (80), Kēng Tung (80)

  6. 6

    🇻🇳Điện Biên Province, Vietnam

    6,100 sq mi16k km² matching 80% or better

    For example Mường Lay (67), Dien Bien Phu (66)

  7. 7

    🇱🇦Xiangkhoang, Laos

    5,100 sq mi13k km² matching 80% or better

    For example Muang Phônsavan (91)

  8. 8

    🇧🇴Santa Cruz Department, Bolivia

    4,800 sq mi12k km² matching 80% or better

    For example El Torno (76), San Ignacio de Velasco (67)

  9. 9

    🇱🇦Oudômxai, Laos

    4,200 sq mi11k km² matching 80% or better

    For example Muang Xay (80)

  10. 10

    🇱🇦Luang Prabang Province, Laos

    3,900 sq mi10k km² matching 80% or better

    For example Luang Prabang (54)

  11. 11

    🇧🇴La Paz Department, Bolivia

    3,700 sq mi9,700 km² matching 80% or better

    For example Caranavi (81)

  12. 12

    🇵🇪Cuzco Department, Peru

    1,800 sq mi4,500 km² matching 80% or better

    For example Quillabamba (89), Santa Ana (89)

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

    🇧🇷SacramentoMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 65 in rainZone 11b · No frost · 0 chill hours · 1,644 mm rain

    Shares 23 of your 23 great-fit crops

    99%match
  2. 2

    🇧🇷São João da Boa VistaSão Paulo, Brazil

    Zone 11a · No frost · 5 chill hours · 56 in rainZone 11a · No frost · 5 chill hours · 1,420 mm rain

    Shares 23 of your 23 great-fit crops · Also great there: fig

    99%match
  3. 3

    🇧🇷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 23 great-fit crops · Also great there: fig

    99%match
  4. 4

    🇧🇷São CarlosSão Paulo, Brazil

    Zone 11a · No frost · 2 chill hours · 54 in rainZone 11a · No frost · 2 chill hours · 1,369 mm rain

    Shares 23 of your 23 great-fit crops · Also great there: fig

    99%match
  5. 5

    🇧🇷UberabaMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 65 in rainZone 11b · No frost · 0 chill hours · 1,649 mm rain

    Shares 23 of your 23 great-fit crops

    99%match
  6. 6

    🇧🇷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 23 great-fit crops · Also great there: fig

    99%match
  7. 7

    🇧🇷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 21 of your 23 great-fit crops · Also great there: fig

    99%match
  8. 8

    🇧🇷Mogi GuaçuSão Paulo, Brazil

    Zone 11a · No frost · 4 chill hours · 52 in rainZone 11a · No frost · 4 chill hours · 1,329 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: fig

    99%match
  9. 9

    🇧🇷PassosMinas Gerais, Brazil

    Zone 11a · No frost · 7 chill hours · 63 in rainZone 11a · No frost · 7 chill hours · 1,600 mm rain

    Shares 23 of your 23 great-fit crops

    99%match
  10. 10

    🇧🇷Chapadão do SulMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 60 in rainZone 11b · No frost · 0 chill hours · 1,531 mm rain

    Shares 23 of your 23 great-fit crops

    98%match
  11. 11

    🇧🇷Carmo do Rio ClaroMinas Gerais, Brazil

    Zone 10b · No frost · 25 chill hours · 60 in rainZone 10b · No frost · 25 chill hours · 1,523 mm rain

    Shares 22 of your 23 great-fit crops

    98%match
  12. 12

    🇧🇷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 21 of your 23 great-fit crops · Also great there: fig

    98%match
  13. 13

    🇧🇷LavrasMinas Gerais, Brazil

    Zone 10b · No frost · 18 chill hours · 60 in rainZone 10b · No frost · 18 chill hours · 1,514 mm rain

    Shares 22 of your 23 great-fit crops

    98%match
  14. 14

    🇧🇷AlfenasMinas Gerais, Brazil

    Zone 10b · No frost · 38 chill hours · 59 in rainZone 10b · No frost · 38 chill hours · 1,491 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: fig

    98%match
  15. 15

    🇧🇷PirassunungaSão Paulo, Brazil

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

    Shares 19 of your 23 great-fit crops · Also great there: fig

    97%match
  16. 16

    🇧🇷CampinasSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 49 in rainZone 11a · No frost · 0 chill hours · 1,256 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: fig

    97%match
  17. 17

    🇧🇷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 23 great-fit crops · Also great there: fig

    97%match
  18. 18

    🇧🇷PiracicabaSão Paulo, Brazil

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

    Shares 21 of your 23 great-fit crops · Also great there: fig

    97%match
  19. 19

    🇧🇷Campo BeloMinas Gerais, Brazil

    Zone 10b · No frost · 24 chill hours · 58 in rainZone 10b · No frost · 24 chill hours · 1,481 mm rain

    Shares 23 of your 23 great-fit crops · Also great there: fig

    97%match
  20. 20

    🇧🇷MineirosGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 64 in rainZone 11b · No frost · 0 chill hours · 1,616 mm rain

    Shares 23 of your 23 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 Batatais: 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.