Climatch

Land with a climate like Prata

🇧🇷Prata, Minas Gerais, Brazil

The towns with the closest growing climate to Prata are Conceição das Alagoas, Brazil (99% match), São Simão and São Joaquim da Barra. About 739,000 sq mi of land in 19 countries matches 80% or better, most of it in Minas Gerais, Brazil, Mato Grosso, Brazil and Goiás, Brazil.The towns with the closest growing climate to Prata are Conceição das Alagoas, Brazil (99% match), São Simão and São Joaquim da Barra. About 1.9 million km² of land in 19 countries matches 80% or better, most of it in Minas Gerais, Brazil, Mato Grosso, Brazil and Goiás, Brazil.

Your growing climate

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

What grows in Prata →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    156k sq mi403k km² matching 80% or better

    For example Conceição das Alagoas (99), Santa Vitória (99)

  2. 2

    🇧🇷Mato Grosso, Brazil

    113k sq mi294k km² matching 80% or better

    For example Alto Araguaia (99), Chapada dos Guimarães (98)

  3. 3

    🇧🇷Goiás, Brazil

    87k sq mi226k km² matching 80% or better

    For example São Simão (99), Goiatuba (99)

  4. 4

    🇨🇩Tanganyika, Democratic Republic of the Congo

    15k sq mi38k km² matching 80% or better

    For example Kalima (84), Nyunzu (81)

  5. 5

    🇲🇲Shan State, Myanmar

    13k sq mi34k km² matching 80% or better

    For example Möng Yawng (82), Kēng Tung (80)

  6. 6

    🇧🇴Santa Cruz Department, Bolivia

    11k sq mi27k km² matching 80% or better

    For example San Ignacio de Velasco (86), El Torno (79)

  7. 7

    🇱🇦Luang Prabang Province, Laos

    5,100 sq mi13k km² matching 80% or better

    For example Luang Prabang (73)

  8. 8

    🇨🇩Lomami, Democratic Republic of the Congo

    5,000 sq mi13k km² matching 80% or better

    For example Kabinda (80), Mwene-Ditu (78)

  9. 9

    🇱🇦Oudômxai, Laos

    5,000 sq mi13k km² matching 80% or better

    For example Muang Xay (86)

  10. 10

    🇹🇭Nan, Thailand

    4,500 sq mi12k km² matching 80% or better

    For example Nan (67)

  11. 11

    🇱🇦Bokeo, Laos

    4,200 sq mi11k km² matching 80% or better

    For example Ban Khoan (74), Ban Houakhoua (71)

  12. 12

    🇹🇭Chiang Mai, Thailand

    3,700 sq mi9,500 km² matching 80% or better

    For example San Kamphaeng (63), Chiang Mai (63)

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

    🇧🇷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
  2. 2

    🇧🇷São SimãoGoiás, Brazil

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

    Shares 19 of your 21 great-fit crops · Also great there: fig

    99%match
  3. 3

    🇧🇷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 21 of your 21 great-fit crops

    99%match
  4. 4

    🇧🇷Santa VitóriaMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 57 in rainZone 11b · No frost · 0 chill hours · 1,448 mm rain

    Shares 18 of your 21 great-fit crops · Also great there: fig

    99%match
  5. 5

    🇧🇷GoiatubaGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 61 in rainZone 11b · No frost · 0 chill hours · 1,538 mm rain

    Shares 21 of your 21 great-fit crops

    99%match
  6. 6

    🇧🇷ItuveravaSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 60 in rainZone 11b · No frost · 0 chill hours · 1,530 mm rain

    Shares 21 of your 21 great-fit crops

    99%match
  7. 7

    🇧🇷Bom Jesus de GoiásGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 60 in rainZone 11b · No frost · 0 chill hours · 1,516 mm rain

    Shares 19 of your 21 great-fit crops

    99%match
  8. 8

    🇧🇷QuirinópolisGoiás, Brazil

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

    Shares 19 of your 21 great-fit crops

    99%match
  9. 9

    🇧🇷UberlândiaMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 65 in rainZone 11b · No frost · 0 chill hours · 1,641 mm rain

    Shares 21 of your 21 great-fit crops

    99%match
  10. 10

    🇧🇷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 21 great-fit crops

    99%match
  11. 11

    🇧🇷Caldas NovasGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 59 in rainZone 11b · No frost · 0 chill hours · 1,496 mm rain

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

    99%match
  12. 12

    🇧🇷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 21 great-fit crops

    99%match
  13. 13

    🇧🇷JataíGoiás, Brazil

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

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

    99%match
  14. 14

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

    99%match
  15. 15

    🇧🇷IturamaMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 49 in rainZone 11b · No frost · 0 chill hours · 1,249 mm rain

    Shares 19 of your 21 great-fit crops · Also great there: fig

    99%match
  16. 16

    🇧🇷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
  17. 17

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

    99%match
  18. 18

    🇧🇷MineirosGoiás, Brazil

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

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

    99%match
  19. 19

    🇧🇷MorrinhosGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 60 in rainZone 11b · No frost · 0 chill hours · 1,523 mm rain

    Shares 21 of your 21 great-fit crops

    99%match
  20. 20

    🇧🇷BarretosSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 53 in rainZone 11b · No frost · 0 chill hours · 1,338 mm rain

    Shares 19 of your 21 great-fit crops · Also great there: fig

    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 Prata: 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.