Climatch

Land with a climate like Pindobaçu

🇧🇷Pindobaçu, Bahia, Brazil

The towns with the closest growing climate to Pindobaçu are Capim Grosso, Brazil (99% match), Monte Santo and Queimadas. About 335,000 sq mi of land in 22 countries matches 80% or better, most of it in Bahia, Brazil, Mato Grosso do Sul, Brazil and Yucatán, Mexico.The towns with the closest growing climate to Pindobaçu are Capim Grosso, Brazil (99% match), Monte Santo and Queimadas. About 868,000 km² of land in 22 countries matches 80% or better, most of it in Bahia, Brazil, Mato Grosso do Sul, Brazil and Yucatán, Mexico.

Your growing climate

Zone 12a · No frost · 0 chill hours · 30 in rainZone 12a · No frost · 0 chill hours · 750 mm rain

What grows in Pindobaçu →

Regions with the most land like yours

  1. 1

    🇧🇷Bahia, Brazil

    59k sq mi153k km² matching 80% or better

    For example Capim Grosso (99), Monte Santo (99)

  2. 2

    🇧🇷Mato Grosso do Sul, Brazil

    21k sq mi53k km² matching 80% or better

    For example Bonito (84), Bela Vista (84)

  3. 3

    🇲🇽Yucatán, Mexico

    18k sq mi47k km² matching 80% or better

    For example Kanasín (83), Motul (83)

  4. 4

    🇲🇿Zambezia Province, Mozambique

    14k sq mi37k km² matching 80% or better

    For example Namacurra (81), Chinde (81)

  5. 5

    🇧🇷Minas Gerais, Brazil

    11k sq mi27k km² matching 80% or better

    For example Almenara (92), Águas Formosas (91)

  6. 6

    🇵🇾Concepción, Paraguay

    10k sq mi26k km² matching 80% or better

    For example Concepción (84), Yby Yaú (82)

  7. 7

    🇲🇿Inhambane Province, Mozambique

    8,800 sq mi23k km² matching 80% or better

    For example Maxixe (93), Inhambane (93)

  8. 8

    🇲🇿Sofala, Mozambique

    8,800 sq mi23k km² matching 80% or better

    For example Dondo (82), Marromeu (80)

  9. 9

    🇲🇽Quintana Roo, Mexico

    7,900 sq mi20k km² matching 80% or better

    For example Cancún (80), Felipe Carrillo Puerto (79)

  10. 10

    🇧🇴Santa Cruz Department, Bolivia

    6,800 sq mi18k km² matching 80% or better

    For example El Torno (85), Cotoca (83)

  11. 11

    🇹🇿Mara, Tanzania

    5,700 sq mi15k km² matching 80% or better

    For example Shirati (84), Musoma (80)

  12. 12

    🇹🇿Tanga, Tanzania

    5,400 sq mi14k km² matching 80% or better

    For example Mazinde (83), Korogwe (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

    🇧🇷Capim GrossoBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 24 in rainZone 12a · No frost · 0 chill hours · 621 mm rain

    Shares 14 of your 19 great-fit crops

    99%match
  2. 2

    🇧🇷Monte SantoBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 23 in rainZone 12a · No frost · 0 chill hours · 583 mm rain

    Shares 12 of your 19 great-fit crops

    99%match
  3. 3

    🇧🇷QueimadasBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 22 in rainZone 12a · No frost · 0 chill hours · 549 mm rain

    Shares 9 of your 19 great-fit crops

    99%match
  4. 4

    🇧🇷Miguel CalmonBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 23 in rainZone 12a · No frost · 0 chill hours · 591 mm rain

    Shares 14 of your 19 great-fit crops

    98%match
  5. 5

    🇧🇷Baixa GrandeBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 28 in rainZone 12a · No frost · 0 chill hours · 707 mm rain

    Shares 16 of your 19 great-fit crops

    97%match
  6. 6

    🇧🇷ItaberabaBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 28 in rainZone 12a · No frost · 0 chill hours · 701 mm rain

    Shares 17 of your 19 great-fit crops

    97%match
  7. 7

    🇧🇷AraciBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 24 in rainZone 12a · No frost · 0 chill hours · 622 mm rain

    Shares 15 of your 19 great-fit crops

    97%match
  8. 8

    🇧🇷SerrinhaBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 28 in rainZone 12a · No frost · 0 chill hours · 714 mm rain

    Shares 16 of your 19 great-fit crops

    94%match
  9. 9

    🇧🇷JeremoaboBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 26 in rainZone 12a · No frost · 0 chill hours · 669 mm rain

    Shares 18 of your 19 great-fit crops · Also great there: potato

    94%match
  10. 10

    🇧🇷Riachão do JacuípeBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 20 in rainZone 12a · No frost · 0 chill hours · 503 mm rain

    Shares 10 of your 19 great-fit crops

    94%match
  11. 11

    🇧🇷UtingaBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 23 in rainZone 11b · No frost · 0 chill hours · 595 mm rain

    Shares 14 of your 19 great-fit crops

    93%match
  12. 12

    🇧🇷Vera CruzBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 28 in rainZone 12a · No frost · 0 chill hours · 710 mm rain

    Shares 18 of your 19 great-fit crops

    93%match
  13. 13

    🇲🇿MaxixeInhambane Province, Mozambique

    Zone 11b · No frost · 0 chill hours · 36 in rainZone 11b · No frost · 0 chill hours · 910 mm rain

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

    93%match
  14. 14

    🇧🇷Ribeira do PombalBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 796 mm rain

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

    93%match
  15. 15

    🇧🇷CanudosBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 17 in rainZone 12a · No frost · 0 chill hours · 426 mm rain

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

    92%match
  16. 16

    🇧🇷AlmenaraMinas Gerais, Brazil

    Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 784 mm rain

    Shares 17 of your 19 great-fit crops

    92%match
  17. 17

    🇲🇿Xai-XaiGaza Province, Mozambique

    Zone 11b · No frost · 0 chill hours · 39 in rainZone 11b · No frost · 0 chill hours · 982 mm rain

    Shares 18 of your 19 great-fit crops · Also great there: rice, macadamia

    92%match
  18. 18

    🇲🇿MassingaInhambane Province, Mozambique

    Zone 11b · No frost · 0 chill hours · 40 in rainZone 11b · No frost · 0 chill hours · 1,007 mm rain

    Shares 18 of your 19 great-fit crops · Also great there: rice, macadamia

    92%match
  19. 19

    🇧🇷Medeiros NetoBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 38 in rainZone 12a · No frost · 0 chill hours · 975 mm rain

    Shares 17 of your 19 great-fit crops · Also great there: macadamia, rice, banana

    91%match
  20. 20

    🇧🇷UauáBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 17 in rainZone 12a · No frost · 0 chill hours · 438 mm rain

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

    91%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 Pindobaçu: 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.