Climatch

Land with a climate like Zé Doca

🇧🇷Zé Doca, Maranhão, Brazil

The towns with the closest growing climate to Zé Doca are Paragominas, Brazil (99% match), Vitória do Mearim and Pio XII. About 535,000 sq mi of land in 10 countries matches 80% or better, most of it in Pará, Brazil, Maranhão, Brazil and Amazonas, Brazil.The towns with the closest growing climate to Zé Doca are Paragominas, Brazil (99% match), Vitória do Mearim and Pio XII. About 1.4 million km² of land in 10 countries matches 80% or better, most of it in Pará, Brazil, Maranhão, Brazil and Amazonas, Brazil.

Your growing climate

Zone 13a · No frost · 0 chill hours · 72 in rainZone 13a · No frost · 0 chill hours · 1,835 mm rain

What grows in Zé Doca →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    182k sq mi470k km² matching 80% or better

    For example Paragominas (99), Ipixuna do Pará (99)

  2. 2

    🇧🇷Maranhão, Brazil

    58k sq mi149k km² matching 80% or better

    For example Vitória do Mearim (99), Anajatuba (99)

  3. 3

    🇧🇷Amazonas, Brazil

    47k sq mi121k km² matching 80% or better

    For example Nhamundá (94), Urucará (94)

  4. 4

    🇵🇭Mimaropa, Philippines

    12k sq mi32k km² matching 80% or better

    For example Puerto Princesa (88), Roxas (86)

  5. 5

    🇮🇩East Java, Indonesia

    12k sq mi32k km² matching 80% or better

    For example Sampang (88), Bangkalan (88)

  6. 6

    🇻🇪Bolívar, Venezuela

    7,700 sq mi20k km² matching 80% or better

    For example Ciudad Guayana (82), Ciudad Piar (81)

  7. 7

    🇮🇩Southeast Sulawesi, Indonesia

    7,400 sq mi19k km² matching 80% or better

    For example Baubau (84), Raha (83)

  8. 8

    🇮🇩West Java, Indonesia

    5,600 sq mi15k km² matching 80% or better

    For example Karangampel (89), Indramayu (89)

  9. 9

    🇵🇭Calabarzon, Philippines

    5,500 sq mi14k km² matching 80% or better

    For example Pulong Santa Cruz (89), Dasmariñas (89)

  10. 10

    🇻🇪Monagas, Venezuela

    5,300 sq mi14k km² matching 80% or better

    For example Maturín (83), Temblador (80)

  11. 11

    🇻🇪Anzoátegui, Venezuela

    3,800 sq mi9,900 km² matching 80% or better

    For example Clarines (82), Anaco (81)

  12. 12

    🇹🇭Surat Thani, Thailand

    3,000 sq mi7,600 km² matching 80% or better

    For example Tha Kham (84), Surat Thani (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

    🇧🇷ParagominasPará, Brazil

    Zone 13a · No frost · 0 chill hours · 75 in rainZone 13a · No frost · 0 chill hours · 1,901 mm rain

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

    99%match
  2. 2

    🇧🇷Vitória do MearimMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 66 in rainZone 13a · No frost · 0 chill hours · 1,674 mm rain

    Shares 13 of your 18 great-fit crops

    99%match
  3. 3

    🇧🇷Pio XIIMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 66 in rainZone 13a · No frost · 0 chill hours · 1,670 mm rain

    Shares 15 of your 18 great-fit crops

    99%match
  4. 4

    🇧🇷Ipixuna do ParáPará, Brazil

    Zone 13a · No frost · 0 chill hours · 77 in rainZone 13a · No frost · 0 chill hours · 1,948 mm rain

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

    99%match
  5. 5

    🇧🇷UlianópolisPará, Brazil

    Zone 13a · No frost · 0 chill hours · 68 in rainZone 13a · No frost · 0 chill hours · 1,737 mm rain

    Shares 14 of your 18 great-fit crops

    99%match
  6. 6

    🇧🇷Vitória do XinguPará, Brazil

    Zone 13a · No frost · 0 chill hours · 81 in rainZone 13a · No frost · 0 chill hours · 2,069 mm rain

    Shares 17 of your 18 great-fit crops

    99%match
  7. 7

    🇧🇷AlenquerPará, Brazil

    Zone 13a · No frost · 0 chill hours · 64 in rainZone 13a · No frost · 0 chill hours · 1,617 mm rain

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

    99%match
  8. 8

    🇧🇷AltamiraPará, Brazil

    Zone 13a · No frost · 0 chill hours · 81 in rainZone 13a · No frost · 0 chill hours · 2,059 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  9. 9

    🇧🇷Itapecuru MirimMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 63 in rainZone 13a · No frost · 0 chill hours · 1,611 mm rain

    Shares 13 of your 18 great-fit crops

    99%match
  10. 10

    🇧🇷São Vicente FerrerMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 71 in rainZone 13a · No frost · 0 chill hours · 1,810 mm rain

    Shares 17 of your 18 great-fit crops

    98%match
  11. 11

    🇧🇷Tomé-AçuPará, Brazil

    Zone 13a · No frost · 0 chill hours · 83 in rainZone 13a · No frost · 0 chill hours · 2,103 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: macadamia

    98%match
  12. 12

    🇧🇷TailândiaPará, Brazil

    Zone 13a · No frost · 0 chill hours · 92 in rainZone 13a · No frost · 0 chill hours · 2,333 mm rain

    Shares 16 of your 18 great-fit crops

    98%match
  13. 13

    🇧🇷Monte AlegrePará, Brazil

    Zone 13b · No frost · 0 chill hours · 66 in rainZone 13b · No frost · 0 chill hours · 1,665 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: macadamia

    98%match
  14. 14

    🇧🇷RosárioMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 72 in rainZone 13a · No frost · 0 chill hours · 1,817 mm rain

    Shares 17 of your 18 great-fit crops

    98%match
  15. 15

    🇧🇷ÓbidosPará, Brazil

    Zone 13a · No frost · 0 chill hours · 76 in rainZone 13a · No frost · 0 chill hours · 1,924 mm rain

    Shares 17 of your 18 great-fit crops

    98%match
  16. 16

    🇧🇷Santa LuziaMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 59 in rainZone 13a · No frost · 0 chill hours · 1,505 mm rain

    Shares 14 of your 18 great-fit crops

    98%match
  17. 17

    🇧🇷TucuruíPará, Brazil

    Zone 13a · No frost · 0 chill hours · 94 in rainZone 13a · No frost · 0 chill hours · 2,383 mm rain

    Shares 16 of your 18 great-fit crops

    97%match
  18. 18

    🇧🇷Vargem GrandeMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 78 in rainZone 13a · No frost · 0 chill hours · 1,987 mm rain

    Shares 15 of your 18 great-fit crops

    97%match
  19. 19

    🇧🇷PacajáPará, Brazil

    Zone 13a · No frost · 0 chill hours · 79 in rainZone 13a · No frost · 0 chill hours · 2,006 mm rain

    Shares 17 of your 18 great-fit crops

    97%match
  20. 20

    🇧🇷AnapuPará, Brazil

    Zone 13a · No frost · 0 chill hours · 85 in rainZone 13a · No frost · 0 chill hours · 2,155 mm rain

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

    97%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 Zé Doca: 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.