Climatch

Land with a climate like Olímpia

🇧🇷Olímpia, São Paulo, Brazil

The towns with the closest growing climate to Olímpia are Guaíra, Brazil (99% match), Iturama and Tanabi. About 661,000 sq mi of land in 16 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 Olímpia are Guaíra, Brazil (99% match), Iturama and Tanabi. About 1.7 million km² of land in 16 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 · 52 in rainZone 11b · No frost · 0 chill hours · 1,314 mm rain

What grows in Olímpia →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    119k sq mi308k km² matching 80% or better

    For example Iturama (99), Campina Verde (99)

  2. 2

    🇧🇷Mato Grosso, Brazil

    90k sq mi234k km² matching 80% or better

    For example Alto Araguaia (95), Pedra Preta (94)

  3. 3

    🇧🇷Goiás, Brazil

    80k sq mi206k km² matching 80% or better

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

  4. 4

    🇧🇴Santa Cruz Department, Bolivia

    25k sq mi64k km² matching 80% or better

    For example San Ignacio de Velasco (91), El Torno (87)

  5. 5

    🇱🇦Luang Prabang Province, Laos

    5,100 sq mi13k km² matching 80% or better

    For example Luang Prabang (80)

  6. 6

    🇱🇦Oudômxai, Laos

    5,000 sq mi13k km² matching 80% or better

    For example Muang Xay (88)

  7. 7

    🇱🇦Bokeo, Laos

    4,800 sq mi12k km² matching 80% or better

    For example Ban Khoan (77), Ban Houakhoua (76)

  8. 8

    🇹🇭Nan, Thailand

    4,500 sq mi12k km² matching 80% or better

    For example Nan (71)

  9. 9

    🇲🇲Shan State, Myanmar

    4,500 sq mi12k km² matching 80% or better

    For example Möng Yawng (83), Möng La (80)

  10. 10

    🇲🇿Maputo Province, Mozambique

    3,800 sq mi9,800 km² matching 80% or better

    For example Manhiça (82), Ressano Garcia (80)

  11. 11

    🇲🇿Manica, Mozambique

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

    For example Gondola (83), Chimoio (82)

  12. 12

    🇲🇼Southern Region, Malawi

    3,500 sq mi9,000 km² matching 80% or better

    For example Mwanza (86), Zomba (73)

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

    🇧🇷GuaíraSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 55 in rainZone 11b · No frost · 0 chill hours · 1,408 mm rain

    Shares 20 of your 20 great-fit crops

    99%match
  2. 2

    🇧🇷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
  3. 3

    🇧🇷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
  4. 4

    🇧🇷Campina VerdeMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 55 in rainZone 11b · No frost · 0 chill hours · 1,385 mm rain

    Shares 20 of your 20 great-fit crops

    99%match
  5. 5

    🇧🇷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
  6. 6

    🇧🇷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
  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

    🇧🇷José BonifácioSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 45 in rainZone 11b · No frost · 0 chill hours · 1,155 mm rain

    Shares 20 of your 20 great-fit crops

    99%match
  9. 9

    🇧🇷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
  10. 10

    🇧🇷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
  11. 11

    🇧🇷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 20 great-fit crops · Also great there: coffee (arabica)

    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

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

    99%match
  14. 14

    🇧🇷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
  15. 15

    🇧🇷ItuiutabaMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 59 in rainZone 11b · No frost · 0 chill hours · 1,493 mm rain

    Shares 20 of your 20 great-fit crops

    99%match
  16. 16

    🇧🇷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
  17. 17

    🇧🇷PrataMinas Gerais, Brazil

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

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

    99%match
  18. 18

    🇧🇷Santa Fé do SulSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 47 in rainZone 11b · No frost · 0 chill hours · 1,206 mm rain

    Shares 20 of your 20 great-fit crops

    99%match
  19. 19

    🇧🇷JalesSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 46 in rainZone 11b · No frost · 0 chill hours · 1,173 mm rain

    Shares 20 of your 20 great-fit crops

    99%match
  20. 20

    🇧🇷IgarapavaSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 62 in rainZone 11b · No frost · 0 chill hours · 1,570 mm rain

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

    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 Olímpia: 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.