Climatch

Land with a climate like Trairão

🇧🇷Trairão, Pará, Brazil

The towns with the closest growing climate to Trairão are Rurópolis, Brazil (99% match), Careiro and Manaus. About 2.2 million sq mi of land in 24 countries matches 80% or better, most of it in Amazonas, Brazil, Pará, Brazil and Acre, Brazil.The towns with the closest growing climate to Trairão are Rurópolis, Brazil (99% match), Careiro and Manaus. About 5.7 million km² of land in 24 countries matches 80% or better, most of it in Amazonas, Brazil, Pará, Brazil and Acre, Brazil.

Your growing climate

Zone 13a · No frost · 0 chill hours · 85 in rainZone 13a · No frost · 0 chill hours · 2,159 mm rain

What grows in Trairão →

Regions with the most land like yours

  1. 1

    🇧🇷Amazonas, Brazil

    209k sq mi541k km² matching 80% or better

    For example Careiro (99), Manaquiri (99)

  2. 2

    🇧🇷Pará, Brazil

    183k sq mi475k km² matching 80% or better

    For example Rurópolis (99), Aveiro (99)

  3. 3

    🇧🇷Acre, Brazil

    46k sq mi119k km² matching 80% or better

    For example Mâncio Lima (94), Plácido de Castro (94)

  4. 4

    🇮🇩Central Kalimantan, Indonesia

    27k sq mi71k km² matching 80% or better

    For example Kualakapuas (91), Palangkaraya (89)

  5. 5

    🇵🇪Loreto, Peru

    25k sq mi66k km² matching 80% or better

    For example Yurimaguas (94), Contamana (92)

  6. 6

    🇧🇴Beni Department, Bolivia

    21k sq mi53k km² matching 80% or better

    For example Guayaramerín (92), Riberalta (89)

  7. 7

    🇮🇩South Sumatra, Indonesia

    18k sq mi47k km² matching 80% or better

    For example Baturaja (89), Prabumulih (87)

  8. 8

    🇮🇩Jambi, Indonesia

    18k sq mi46k km² matching 80% or better

    For example Jambi City (84), Mendaha (84)

  9. 9

    🇨🇩Tshopo, Democratic Republic of the Congo

    17k sq mi43k km² matching 80% or better

    For example Basoko (87), Kisangani (85)

  10. 10

    🇨🇩Mongala, Democratic Republic of the Congo

    16k sq mi40k km² matching 80% or better

    For example Bumba (85), Lisala (83)

  11. 11

    🇵🇭Mimaropa, Philippines

    15k sq mi39k km² matching 80% or better

    For example Mamburao (86), Puerto Princesa (86)

  12. 12

    🇵🇪Ucayali, Peru

    13k sq mi34k km² matching 80% or better

    For example San Fernando (93), Pucallpa (90)

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

    🇧🇷RurópolisPará, Brazil

    Zone 13a · No frost · 0 chill hours · 78 in rainZone 13a · No frost · 0 chill hours · 1,972 mm rain

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

    99%match
  2. 2

    🇧🇷CareiroAmazonas, Brazil

    Zone 13b · No frost · 0 chill hours · 88 in rainZone 13b · No frost · 0 chill hours · 2,234 mm rain

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

    99%match
  3. 3

    🇧🇷ManausAmazonas, Brazil

    Zone 13b · No frost · 0 chill hours · 92 in rainZone 13b · No frost · 0 chill hours · 2,341 mm rain

    Shares 17 of your 17 great-fit crops

    99%match
  4. 4

    🇧🇷Novo AripuanãAmazonas, Brazil

    Zone 13b · No frost · 0 chill hours · 98 in rainZone 13b · No frost · 0 chill hours · 2,478 mm rain

    Shares 17 of your 17 great-fit crops

    99%match
  5. 5

    🇧🇷ManacapuruAmazonas, Brazil

    Zone 13b · No frost · 0 chill hours · 87 in rainZone 13b · No frost · 0 chill hours · 2,211 mm rain

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

    99%match
  6. 6

    🇧🇷AutazesAmazonas, Brazil

    Zone 13b · No frost · 0 chill hours · 90 in rainZone 13b · No frost · 0 chill hours · 2,296 mm rain

    Shares 17 of your 17 great-fit crops

    99%match
  7. 7

    🇧🇷BorbaAmazonas, Brazil

    Zone 13b · No frost · 0 chill hours · 80 in rainZone 13b · No frost · 0 chill hours · 2,036 mm rain

    Shares 17 of your 17 great-fit crops

    99%match
  8. 8

    🇧🇷ManicoréAmazonas, Brazil

    Zone 13b · No frost · 0 chill hours · 100 in rainZone 13b · No frost · 0 chill hours · 2,541 mm rain

    Shares 16 of your 17 great-fit crops

    99%match
  9. 9

    🇧🇷AveiroPará, Brazil

    Zone 13a · No frost · 0 chill hours · 76 in rainZone 13a · No frost · 0 chill hours · 1,931 mm rain

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

    99%match
  10. 10

    🇧🇷Novo AirãoAmazonas, Brazil

    Zone 13b · No frost · 0 chill hours · 93 in rainZone 13b · No frost · 0 chill hours · 2,361 mm rain

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

    99%match
  11. 11

    🇧🇷TapauáAmazonas, Brazil

    Zone 13a · No frost · 0 chill hours · 94 in rainZone 13a · No frost · 0 chill hours · 2,389 mm rain

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

    99%match
  12. 12

    🇧🇷ItacoatiaraAmazonas, Brazil

    Zone 13b · No frost · 0 chill hours · 86 in rainZone 13b · No frost · 0 chill hours · 2,191 mm rain

    Shares 17 of your 17 great-fit crops

    99%match
  13. 13

    🇧🇷Rio Preto da EvaAmazonas, Brazil

    Zone 13b · No frost · 0 chill hours · 97 in rainZone 13b · No frost · 0 chill hours · 2,470 mm rain

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

    99%match
  14. 14

    🇧🇷UrucaráAmazonas, Brazil

    Zone 13b · No frost · 0 chill hours · 81 in rainZone 13b · No frost · 0 chill hours · 2,061 mm rain

    Shares 17 of your 17 great-fit crops

    98%match
  15. 15

    🇧🇷PlacasPará, Brazil

    Zone 13a · No frost · 0 chill hours · 72 in rainZone 13a · No frost · 0 chill hours · 1,819 mm rain

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

    98%match
  16. 16

    🇧🇷MauésAmazonas, Brazil

    Zone 13b · No frost · 0 chill hours · 79 in rainZone 13b · No frost · 0 chill hours · 1,998 mm rain

    Shares 17 of your 17 great-fit crops

    98%match
  17. 17

    🇧🇷OriximináPará, Brazil

    Zone 13b · No frost · 0 chill hours · 92 in rainZone 13b · No frost · 0 chill hours · 2,334 mm rain

    Shares 17 of your 17 great-fit crops

    98%match
  18. 18

    🇧🇷CanutamaAmazonas, Brazil

    Zone 13a · No frost · 0 chill hours · 97 in rainZone 13a · No frost · 0 chill hours · 2,470 mm rain

    Shares 17 of your 17 great-fit crops

    97%match
  19. 19

    🇧🇷AcaráPará, Brazil

    Zone 13b · No frost · 0 chill hours · 90 in rainZone 13b · No frost · 0 chill hours · 2,277 mm rain

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

    97%match
  20. 20

    🇧🇷BeruriAmazonas, Brazil

    Zone 13b · No frost · 0 chill hours · 99 in rainZone 13b · No frost · 0 chill hours · 2,502 mm rain

    Shares 17 of your 17 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 Trairão: 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.