Climatch

Land with a climate like Piatã

🇧🇷Piatã, Bahia, Brazil

The towns with the closest growing climate to Piatã are Morro do Chapéu, Brazil (96% match), Bonito and Los Teques. About 227,000 sq mi of land in 24 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Bahia, Brazil.The towns with the closest growing climate to Piatã are Morro do Chapéu, Brazil (96% match), Bonito and Los Teques. About 588,000 km² of land in 24 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Bahia, Brazil.

Your growing climate

Zone 11a · No frost · 0 chill hours · 38 in rainZone 11a · No frost · 0 chill hours · 966 mm rain

What grows in Piatã →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    57k sq mi148k km² matching 80% or better

    For example Padre Paraíso (90), Caraí (90)

  2. 2

    🇧🇷São Paulo, Brazil

    36k sq mi93k km² matching 80% or better

    For example Cerqueira César (91), Amparo (91)

  3. 3

    🇧🇷Bahia, Brazil

    17k sq mi45k km² matching 80% or better

    For example Morro do Chapéu (96), Bonito (96)

  4. 4

    🇿🇦KwaZulu-Natal, South Africa

    7,600 sq mi20k km² matching 80% or better

    For example Eshowe (86), KwaDukuza (83)

  5. 5

    🇨🇳Yunnan, China

    6,100 sq mi16k km² matching 80% or better

    For example Meng’a (81), Pu'er (80)

  6. 6

    🇲🇽Chiapas, Mexico

    3,700 sq mi9,600 km² matching 80% or better

    For example Las Margaritas (93), Comitán (86)

  7. 7

    🇲🇬Alaotra Mangoro, Madagascar

    3,100 sq mi8,100 km² matching 80% or better

    For example Didy (83), Andilamena (75)

  8. 8

    🇵🇪San Martín Department, Peru

    2,400 sq mi6,100 km² matching 80% or better

  9. 9

    🇧🇴Santa Cruz Department, Bolivia

    2,300 sq mi5,900 km² matching 80% or better

  10. 10

    🇰🇪Narok County, Kenya

    2,100 sq mi5,400 km² matching 80% or better

    For example Narok (78)

  11. 11

    🇵🇪Amazonas, Peru

    2,100 sq mi5,400 km² matching 80% or better

    For example Chachapoyas (72), La Peca (64)

  12. 12

    🇲🇬Atsimo-Atsinanana, Madagascar

    1,900 sq mi5,000 km² matching 80% or better

    For example Vondrozo (69)

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

    🇧🇷Morro do ChapéuBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 28 in rainZone 11b · No frost · 0 chill hours · 720 mm rain

    Shares 18 of your 20 great-fit crops · Also great there: mango

    96%match
  2. 2

    🇧🇷BonitoBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 33 in rainZone 11b · No frost · 0 chill hours · 841 mm rain

    Shares 18 of your 20 great-fit crops

    96%match
  3. 3

    🇻🇪Los Teques↻Seasons flipped. Miranda, Venezuela

    Zone 11b · No frost · 0 chill hours · 41 in rainZone 11b · No frost · 0 chill hours · 1,046 mm rain

    Shares 18 of your 20 great-fit crops · Also great there: sugarcane, rice

    95%match
  4. 4

    🇩🇴Constanza↻Seasons flipped. La Vega, Dominican Republic

    Zone 11a · No frost · 2 chill hours · 39 in rainZone 11a · No frost · 2 chill hours · 1,003 mm rain

    Shares 18 of your 20 great-fit crops

    94%match
  5. 5

    🇧🇷Vitória da ConquistaBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 28 in rainZone 11b · No frost · 0 chill hours · 699 mm rain

    Shares 18 of your 20 great-fit crops

    94%match
  6. 6

    🇲🇽Las Margaritas↻Seasons flipped. Chiapas, Mexico

    Zone 11a · No frost · 0 chill hours · 56 in rainZone 11a · No frost · 0 chill hours · 1,410 mm rain

    Shares 18 of your 20 great-fit crops · Also great there: rice, sugarcane, cassava

    93%match
  7. 7

    🇲🇽Orizaba↻Seasons flipped. Veracruz, Mexico

    Zone 10b · No frost · 19 chill hours · 54 in rainZone 10b · No frost · 19 chill hours · 1,382 mm rain

    Shares 18 of your 20 great-fit crops · Also great there: rice, sugarcane, tea

    92%match
  8. 8

    🇧🇷GuaçuíEspírito Santo, Brazil

    Zone 11a · No frost · 14 chill hours · 46 in rainZone 11a · No frost · 14 chill hours · 1,179 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: rice, sugarcane, mango

    91%match
  9. 9

    🇲🇽Xalapa de Enríquez↻Seasons flipped. Veracruz, Mexico

    Zone 11a · No frost · 1 chill hours · 68 in rainZone 11a · No frost · 1 chill hours · 1,722 mm rain

    Shares 17 of your 20 great-fit crops · Also great there: tea, rice, banana

    90%match
  10. 10

    🇧🇷AvaréSão Paulo, Brazil

    Zone 11a · No frost · 8 chill hours · 49 in rainZone 11a · No frost · 8 chill hours · 1,233 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: rice, banana, sugarcane

    90%match
  11. 11

    🇧🇷BotucatuSão Paulo, Brazil

    Zone 11a · No frost · 13 chill hours · 51 in rainZone 11a · No frost · 13 chill hours · 1,306 mm rain

    Shares 18 of your 20 great-fit crops · Also great there: rice, banana, sugarcane

    90%match
  12. 12

    🇧🇷IúnaEspírito Santo, Brazil

    Zone 11a · No frost · 10 chill hours · 45 in rainZone 11a · No frost · 10 chill hours · 1,155 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: rice, sugarcane, cassava

    90%match
  13. 13

    🇧🇷Novo CruzeiroMinas Gerais, Brazil

    Zone 11a · No frost · 1 chill hours · 38 in rainZone 11a · No frost · 1 chill hours · 957 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: rice, cassava, mango

    90%match
  14. 14

    🇹🇿TarakeaKilimanjaro, Tanzania

    Zone 11a · No frost · 0 chill hours · 46 in rainZone 11a · No frost · 0 chill hours · 1,162 mm rain

    Shares 18 of your 20 great-fit crops

    90%match
  15. 15

    🇧🇷Vargem AltaEspírito Santo, Brazil

    Zone 11a · No frost · 0 chill hours · 46 in rainZone 11a · No frost · 0 chill hours · 1,180 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: rice, sugarcane, cassava

    89%match
  16. 16

    🇧🇷Bragança PaulistaSão Paulo, Brazil

    Zone 10b · No frost · 29 chill hours · 51 in rainZone 10b · No frost · 29 chill hours · 1,305 mm rain

    Shares 18 of your 20 great-fit crops · Also great there: rice, tea

    89%match
  17. 17

    🇹🇿LubataMorogoro, Tanzania

    Zone 11b · No frost · 0 chill hours · 39 in rainZone 11b · No frost · 0 chill hours · 981 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: rice

    88%match
  18. 18

    🇧🇷Siqueira CamposParaná, Brazil

    Zone 11a · No frost · 10 chill hours · 47 in rainZone 11a · No frost · 10 chill hours · 1,194 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: rice, sugarcane, banana

    87%match
  19. 19

    🇧🇷MaríliaSão Paulo, Brazil

    Zone 11a · No frost · 4 chill hours · 50 in rainZone 11a · No frost · 4 chill hours · 1,273 mm rain

    Shares 18 of your 20 great-fit crops · Also great there: rice, sugarcane, banana

    87%match
  20. 20

    🇧🇷CambuíMinas Gerais, Brazil

    Zone 10b · No frost · 58 chill hours · 57 in rainZone 10b · No frost · 58 chill hours · 1,460 mm rain

    Shares 18 of your 20 great-fit crops · Also great there: rice, tea

    87%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 Piatã: 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.