Climatch

Land with a climate like Campina Verde

🇧🇷Campina Verde, Minas Gerais, Brazil

The towns with the closest growing climate to Campina Verde are Iturama, Brazil (99% match), São Simão and Santa Vitória. About 791,000 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 Campina Verde are Iturama, Brazil (99% match), São Simão and Santa Vitória. About 2.0 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 · 55 in rainZone 11b · No frost · 0 chill hours · 1,385 mm rain

What grows in Campina Verde →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    132k sq mi343k km² matching 80% or better

    For example Iturama (99), Santa Vitória (99)

  2. 2

    🇧🇷Mato Grosso, Brazil

    122k sq mi316k km² matching 80% or better

    For example Pedra Preta (99), Alto Araguaia (98)

  3. 3

    🇧🇷Goiás, Brazil

    93k sq mi241k km² matching 80% or better

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

  4. 4

    🇧🇴Santa Cruz Department, Bolivia

    16k sq mi42k km² matching 80% or better

    For example San Ignacio de Velasco (92), El Torno (83)

  5. 5

    🇨🇩Tanganyika, Democratic Republic of the Congo

    16k sq mi42k km² matching 80% or better

    For example Kalima (84), Nyunzu (82)

  6. 6

    🇹🇭Nan, Thailand

    5,700 sq mi15k km² matching 80% or better

    For example Nan (78)

  7. 7

    🇨🇩Lomami, Democratic Republic of the Congo

    5,300 sq mi14k km² matching 80% or better

    For example Kabinda (80), Gandajika (79)

  8. 8

    🇲🇲Shan State, Myanmar

    5,300 sq mi14k km² matching 80% or better

    For example Möng Yawng (83), Tachilek (82)

  9. 9

    🇱🇦Luang Prabang Province, Laos

    5,100 sq mi13k km² matching 80% or better

    For example Luang Prabang (81)

  10. 10

    🇱🇦Bokeo, Laos

    5,100 sq mi13k km² matching 80% or better

    For example Ban Khoan (80), Ban Houakhoua (79)

  11. 11

    🇱🇦Oudômxai, Laos

    5,000 sq mi13k km² matching 80% or better

    For example Muang Xay (88)

  12. 12

    🇹🇭Chiang Rai, Thailand

    4,500 sq mi12k km² matching 80% or better

    For example Mae Sai (82), Mae Chan (81)

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

    🇧🇷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 20 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 20 of your 20 great-fit crops

    99%match
  3. 3

    🇧🇷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 19 of your 20 great-fit crops

    99%match
  4. 4

    🇧🇷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 20 great-fit crops

    99%match
  5. 5

    🇧🇷BarretosSão Paulo, Brazil

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

    Shares 20 of your 20 great-fit crops

    99%match
  6. 6

    🇧🇷OlímpiaSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 52 in rainZone 11b · No frost · 0 chill hours · 1,314 mm rain

    Shares 20 of your 20 great-fit crops

    99%match
  7. 7

    🇧🇷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 20 great-fit crops

    99%match
  8. 8

    🇧🇷ItumbiaraGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 58 in rainZone 11b · No frost · 0 chill hours · 1,485 mm rain

    Shares 19 of your 20 great-fit crops

    99%match
  9. 9

    🇧🇷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 20 great-fit crops

    99%match
  10. 10

    🇧🇷BebedouroSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 53 in rainZone 11b · No frost · 0 chill hours · 1,354 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: coffee (arabica)

    99%match
  11. 11

    🇧🇷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 20 great-fit crops

    99%match
  12. 12

    🇧🇷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 20 great-fit crops

    99%match
  13. 13

    🇧🇷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 20 great-fit crops

    99%match
  14. 14

    🇧🇷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 19 of your 20 great-fit crops · Also great there: coffee (arabica), potato

    99%match
  15. 15

    🇧🇷TanabiSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 49 in rainZone 11b · No frost · 0 chill hours · 1,242 mm rain

    Shares 20 of your 20 great-fit crops

    99%match
  16. 16

    🇧🇷ItuveravaSão Paulo, Brazil

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

    Shares 19 of your 20 great-fit crops · Also great there: coffee (arabica), potato

    99%match
  17. 17

    🇧🇷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 20 great-fit crops

    99%match
  18. 18

    🇧🇷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 20 great-fit crops

    99%match
  19. 19

    🇧🇷GoiatubaGoiás, Brazil

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

    Shares 19 of your 20 great-fit crops · Also great there: coffee (arabica), potato

    99%match
  20. 20

    🇧🇷CatanduvaSão Paulo, Brazil

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

    Shares 20 of your 20 great-fit crops

    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 Campina Verde: 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.