Climatch

Land with a climate like Brodowski

🇧🇷Brodowski, São Paulo, Brazil

The towns with the closest growing climate to Brodowski are São João da Boa Vista, Brazil (99% match), Mococa and São Carlos. About 478,000 sq mi of land in 18 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 Brodowski are São João da Boa Vista, Brazil (99% match), Mococa and São Carlos. About 1.2 million km² of land in 18 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 · 60 in rainZone 11a · No frost · 0 chill hours · 1,529 mm rain

What grows in Brodowski →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    128k sq mi330k km² matching 80% or better

    For example Uberaba (99), Sacramento (99)

  2. 2

    🇧🇷São Paulo, Brazil

    77k sq mi201k km² matching 80% or better

    For example Américo Brasiliense (99), Santa Rita do Passa Quatro (99)

  3. 3

    🇧🇷Mato Grosso do Sul, Brazil

    54k sq mi141k km² matching 80% or better

    For example Chapadão do Sul (99), Costa Rica (95)

  4. 4

    🇨🇳Yunnan, China

    15k sq mi38k km² matching 80% or better

    For example Mengman (85), Menghuan (81)

  5. 5

    🇲🇲Shan State, Myanmar

    9,700 sq mi25k km² matching 80% or better

    For example Kēng Tung (80), Panglong (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 (90)

  8. 8

    🇧🇴Santa Cruz Department, Bolivia

    4,800 sq mi12k km² matching 80% or better

    For example El Torno (79), San Ignacio de Velasco (70)

  9. 9

    🇱🇦Oudômxai, Laos

    4,500 sq mi12k km² matching 80% or better

    For example Muang Xay (81)

  10. 10

    🇧🇴La Paz Department, Bolivia

    4,000 sq mi10k km² matching 80% or better

    For example Caranavi (83)

  11. 11

    🇱🇦Luang Prabang Province, Laos

    3,900 sq mi10k km² matching 80% or better

    For example Luang Prabang (56)

  12. 12

    🇵🇪Junin, Peru

    1,800 sq mi4,600 km² matching 80% or better

    For example San Martín de Pangoa (77), Satipo (77)

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 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
  2. 2

    🇧🇷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
  3. 3

    🇧🇷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
  4. 4

    🇧🇷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
  5. 5

    🇧🇷PedregulhoSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 64 in rainZone 11a · No frost · 0 chill hours · 1,614 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

    🇧🇷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
  8. 8

    🇧🇷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
  9. 9

    🇧🇷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
  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

    99%match
  11. 11

    🇧🇷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
  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

    99%match
  13. 13

    🇧🇷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

    98%match
  14. 14

    🇧🇷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

    98%match
  15. 15

    🇧🇷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

    98%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

    98%match
  17. 17

    🇧🇷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
  18. 18

    🇧🇷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
  19. 19

    🇧🇷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
  20. 20

    🇧🇷IbitingaSão Paulo, Brazil

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

    Shares 20 of your 23 great-fit crops · Also great there: fig

    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 Brodowski: 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.