Climatch

Land with a climate like Bom Jardim, Brazil

🇧🇷Bom Jardim, Maranhão, Brazil

The towns with the closest growing climate to Bom Jardim, Brazil are Viana, Brazil (99% match), Paragominas and Itapecuru Mirim. About 487,000 sq mi of land in 11 countries matches 80% or better, most of it in Pará, Brazil, Maranhão, Brazil and Amazonas, Brazil.The towns with the closest growing climate to Bom Jardim, Brazil are Viana, Brazil (99% match), Paragominas and Itapecuru Mirim. About 1.3 million km² of land in 11 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 · 67 in rainZone 13a · No frost · 0 chill hours · 1,699 mm rain

What grows in Bom Jardim, Brazil →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    180k sq mi466k km² matching 80% or better

    For example Paragominas (99), Ulianópolis (99)

  2. 2

    🇧🇷Maranhão, Brazil

    62k sq mi162k km² matching 80% or better

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

  3. 3

    🇧🇷Amazonas, Brazil

    35k sq mi90k km² matching 80% or better

    For example Urucará (92), Nhamundá (92)

  4. 4

    🇮🇩East Java, Indonesia

    12k sq mi32k km² matching 80% or better

    For example Sampang (89), Pamekasan (88)

  5. 5

    🇵🇭Mimaropa, Philippines

    7,600 sq mi20k km² matching 80% or better

    For example Puerto Princesa (84), Roxas (83)

  6. 6

    🇻🇪Bolívar, Venezuela

    7,400 sq mi19k km² matching 80% or better

    For example Ciudad Guayana (83), Ciudad Piar (81)

  7. 7

    🇻🇪Anzoátegui, Venezuela

    6,800 sq mi18k km² matching 80% or better

    For example Clarines (83), Anaco (83)

  8. 8

    🇻🇪Monagas, Venezuela

    6,200 sq mi16k km² matching 80% or better

    For example Maturín (84), Punta de Mata (82)

  9. 9

    🇮🇩Southeast Sulawesi, Indonesia

    5,400 sq mi14k km² matching 80% or better

    For example Baubau (83), Raha (82)

  10. 10

    🇮🇩West Java, Indonesia

    5,300 sq mi14k km² matching 80% or better

    For example Karangampel (88), Indramayu (88)

  11. 11

    🇵🇭Calabarzon, Philippines

    4,100 sq mi11k km² matching 80% or better

    For example Dasmariñas (86), Baclaran (86)

  12. 12

    🇲🇽Campeche, Mexico

    3,400 sq mi8,800 km² matching 80% or better

    For example Ciudad del Carmen (84), Escárcega (76)

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

    🇧🇷VianaMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 69 in rainZone 13a · No frost · 0 chill hours · 1,764 mm rain

    Shares 16 of your 18 great-fit crops

    99%match
  2. 2

    🇧🇷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
  3. 3

    🇧🇷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
  4. 4

    🇧🇷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
  5. 5

    🇧🇷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

    98%match
  6. 6

    🇧🇷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

    98%match
  7. 7

    🇧🇷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

    97%match
  8. 8

    🇧🇷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

    97%match
  9. 9

    🇧🇷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
  10. 10

    🇧🇷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

    97%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

    97%match
  12. 12

    🇧🇷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
  13. 13

    🇧🇷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

    97%match
  14. 14

    🇧🇷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

    97%match
  15. 15

    🇧🇷Goianésia do ParáPará, Brazil

    Zone 13a · No frost · 0 chill hours · 85 in rainZone 13a · No frost · 0 chill hours · 2,169 mm rain

    Shares 15 of your 18 great-fit crops

    96%match
  16. 16

    🇧🇷MedicilândiaPará, Brazil

    Zone 13a · No frost · 0 chill hours · 72 in rainZone 13a · No frost · 0 chill hours · 1,826 mm rain

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

    96%match
  17. 17

    🇧🇷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

    96%match
  18. 18

    🇧🇷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

    96%match
  19. 19

    🇧🇷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

    96%match
  20. 20

    🇧🇷Urbano SantosMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 64 in rainZone 13a · No frost · 0 chill hours · 1,619 mm rain

    Shares 14 of your 18 great-fit crops

    95%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 Bom Jardim, Brazil: 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.