Climatch

Land with a climate like Chapadão do Sul

🇧🇷Chapadão do Sul, Mato Grosso do Sul, Brazil

The towns with the closest growing climate to Chapadão do Sul are Mineiros, Brazil (99% match), Uberaba and Alto Araguaia. About 571,000 sq mi of land in 19 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 Chapadão do Sul are Mineiros, Brazil (99% match), Uberaba and Alto Araguaia. About 1.5 million km² of land in 19 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 11b · No frost · 0 chill hours · 60 in rainZone 11b · No frost · 0 chill hours · 1,531 mm rain

What grows in Chapadão do Sul →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    128k sq mi331k km² matching 80% or better

    For example Uberaba (99), Prata (98)

  2. 2

    🇧🇷São Paulo, Brazil

    73k sq mi189k km² matching 80% or better

    For example Serrana (99), Cravinhos (99)

  3. 3

    🇧🇷Mato Grosso do Sul, Brazil

    71k sq mi183k km² matching 80% or better

    For example Cassilândia (99), São Gabriel do Oeste (98)

  4. 4

    🇲🇲Shan State, Myanmar

    5,300 sq mi14k km² matching 80% or better

    For example Kēng Tung (79), Möng Yawng (78)

  5. 5

    🇨🇩Tanganyika, Democratic Republic of the Congo

    5,100 sq mi13k km² matching 80% or better

    For example Kalima (77), Kongolo (71)

  6. 6

    🇨🇳Yunnan, China

    4,700 sq mi12k km² matching 80% or better

    For example Mengla (80), Mengman (78)

  7. 7

    🇬🇳Nzérékoré Region, Guinea

    4,400 sq mi11k km² matching 80% or better

    For example Beyla (81), Lola (80)

  8. 8

    🇱🇦Luang Prabang Province, Laos

    4,200 sq mi11k km² matching 80% or better

    For example Luang Prabang (61)

  9. 9

    🇧🇴Santa Cruz Department, Bolivia

    4,000 sq mi10k km² matching 80% or better

    For example El Torno (80), San Ignacio de Velasco (79)

  10. 10

    🇧🇴La Paz Department, Bolivia

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

    For example Caranavi (87)

  11. 11

    🇱🇦Oudômxai, Laos

    3,600 sq mi9,400 km² matching 80% or better

    For example Muang Xay (80)

  12. 12

    🇵🇪Junin, Peru

    3,500 sq mi9,100 km² matching 80% or better

    For example San Martín de Pangoa (83), Satipo (82)

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

    🇧🇷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

    99%match
  2. 2

    🇧🇷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
  3. 3

    🇧🇷Alto AraguaiaMato Grosso, Brazil

    Zone 11a · No frost · 0 chill hours · 63 in rainZone 11a · No frost · 0 chill hours · 1,609 mm rain

    Shares 21 of your 23 great-fit crops

    99%match
  4. 4

    🇧🇷JataíGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 64 in rainZone 11b · No frost · 0 chill hours · 1,613 mm rain

    Shares 23 of your 23 great-fit crops

    99%match
  5. 5

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

    99%match
  6. 6

    🇧🇷SertãozinhoSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 56 in rainZone 11b · No frost · 0 chill hours · 1,427 mm rain

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

    98%match
  7. 7

    🇧🇷São Gabriel do OesteMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 56 in rainZone 11b · No frost · 0 chill hours · 1,421 mm rain

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

    98%match
  8. 8

    🇧🇷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

    98%match
  9. 9

    🇧🇷PrataMinas Gerais, Brazil

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

    Shares 21 of your 23 great-fit crops

    98%match
  10. 10

    🇧🇷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 23 great-fit crops

    98%match
  11. 11

    🇧🇷Chapada dos GuimarãesMato Grosso, Brazil

    Zone 11b · No frost · 0 chill hours · 58 in rainZone 11b · No frost · 0 chill hours · 1,470 mm rain

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

    98%match
  12. 12

    🇧🇷TaquaritingaSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 51 in rainZone 11b · No frost · 0 chill hours · 1,303 mm rain

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

    98%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 19 of your 23 great-fit crops · Also great there: fig

    97%match
  14. 14

    🇧🇷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

    97%match
  15. 15

    🇧🇷TupaciguaraMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 61 in rainZone 11b · No frost · 0 chill hours · 1,547 mm rain

    Shares 21 of your 23 great-fit crops

    97%match
  16. 16

    🇧🇷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 23 great-fit crops

    97%match
  17. 17

    🇧🇷CatanduvaSão Paulo, Brazil

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

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

    97%match
  18. 18

    🇧🇷Rio VerdeGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 63 in rainZone 11b · No frost · 0 chill hours · 1,610 mm rain

    Shares 21 of your 23 great-fit crops

    97%match
  19. 19

    🇧🇷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

    96%match
  20. 20

    🇧🇷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

    96%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 Chapadão do Sul: 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.