Climatch

Land with a climate like Oeiras do Pará

🇧🇷Oeiras do Pará, Pará, Brazil

The towns with the closest growing climate to Oeiras do Pará are Portel, Brazil (99% match), Porto de Moz and Mãe do Rio. About 804,000 sq mi of land in 10 countries matches 80% or better, most of it in Pará, Brazil, Amazonas, Brazil and Maranhão, Brazil.The towns with the closest growing climate to Oeiras do Pará are Portel, Brazil (99% match), Porto de Moz and Mãe do Rio. About 2.1 million km² of land in 10 countries matches 80% or better, most of it in Pará, Brazil, Amazonas, Brazil and Maranhão, Brazil.

Your growing climate

Zone 13a · No frost · 0 chill hours · 97 in rainZone 13a · No frost · 0 chill hours · 2,476 mm rain

What grows in Oeiras do Pará →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    165k sq mi428k km² matching 80% or better

    For example Portel (99), Mocajuba (99)

  2. 2

    🇧🇷Amazonas, Brazil

    143k sq mi369k km² matching 80% or better

    For example Nhamundá (98), Parintins (98)

  3. 3

    🇧🇷Maranhão, Brazil

    23k sq mi60k km² matching 80% or better

    For example Santa Luzia do Paruá (98), Centro Novo do Maranhão (98)

  4. 4

    🇵🇭Mimaropa, Philippines

    19k sq mi49k km² matching 80% or better

    For example Puerto Princesa (85), Mamburao (84)

  5. 5

    🇵🇭Central Visayas, Philippines

    12k sq mi31k km² matching 80% or better

    For example Santa Catalina (87), Bayawan (87)

  6. 6

    🇵🇪Loreto, Peru

    11k sq mi29k km² matching 80% or better

    For example Requena (80), Yurimaguas (79)

  7. 7

    🇵🇭Western Visayas, Philippines

    11k sq mi28k km² matching 80% or better

    For example Asia (87), Bago City (86)

  8. 8

    🇮🇩Central Kalimantan, Indonesia

    8,700 sq mi22k km² matching 80% or better

    For example Kualakapuas (80), Sampit (79)

  9. 9

    🇮🇩Lampung, Indonesia

    7,700 sq mi20k km² matching 80% or better

    For example Metro (84), Bandar Lampung (84)

  10. 10

    🇮🇩South Kalimantan, Indonesia

    6,900 sq mi18k km² matching 80% or better

    For example Martapura (78), Banjarbaru (78)

  11. 11

    🇲🇾Kedah, Malaysia

    6,200 sq mi16k km² matching 80% or better

    For example Kampung Baru Ulu Melaka (84), Gurun (84)

  12. 12

    🇹🇭Chumphon, Thailand

    3,200 sq mi8,400 km² matching 80% or better

    For example Lang Suan (84), Chumphon (84)

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

    🇧🇷PortelPará, Brazil

    Zone 13a · No frost · 0 chill hours · 97 in rainZone 13a · No frost · 0 chill hours · 2,465 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  2. 2

    🇧🇷Porto de MozPará, Brazil

    Zone 13a · No frost · 0 chill hours · 95 in rainZone 13a · No frost · 0 chill hours · 2,412 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  3. 3

    🇧🇷Mãe do RioPará, Brazil

    Zone 13a · No frost · 0 chill hours · 83 in rainZone 13a · No frost · 0 chill hours · 2,096 mm rain

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

    99%match
  4. 4

    🇧🇷AnajásPará, Brazil

    Zone 13a · No frost · 0 chill hours · 101 in rainZone 13a · No frost · 0 chill hours · 2,563 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  5. 5

    🇧🇷Laranjal do JariAmapá, Brazil

    Zone 13a · No frost · 0 chill hours · 95 in rainZone 13a · No frost · 0 chill hours · 2,421 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  6. 6

    🇧🇷AbaetetubaPará, Brazil

    Zone 13b · No frost · 0 chill hours · 105 in rainZone 13b · No frost · 0 chill hours · 2,669 mm rain

    Shares 17 of your 18 great-fit crops

    99%match
  7. 7

    🇧🇷BrevesPará, Brazil

    Zone 13a · No frost · 0 chill hours · 95 in rainZone 13a · No frost · 0 chill hours · 2,413 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  8. 8

    🇧🇷BaiãoPará, Brazil

    Zone 13a · No frost · 0 chill hours · 99 in rainZone 13a · No frost · 0 chill hours · 2,505 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  9. 9

    🇧🇷SantanaAmapá, Brazil

    Zone 13b · No frost · 0 chill hours · 98 in rainZone 13b · No frost · 0 chill hours · 2,501 mm rain

    Shares 17 of your 18 great-fit crops

    99%match
  10. 10

    🇧🇷GurupáPará, Brazil

    Zone 13a · No frost · 0 chill hours · 93 in rainZone 13a · No frost · 0 chill hours · 2,370 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  11. 11

    🇧🇷MuanáPará, Brazil

    Zone 13b · No frost · 0 chill hours · 108 in rainZone 13b · No frost · 0 chill hours · 2,752 mm rain

    Shares 16 of your 18 great-fit crops

    99%match
  12. 12

    🇧🇷AcaráPará, Brazil

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

    Shares 18 of your 18 great-fit crops

    99%match
  13. 13

    🇧🇷AlmeirimPará, Brazil

    Zone 13a · No frost · 0 chill hours · 78 in rainZone 13a · No frost · 0 chill hours · 1,991 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  14. 14

    🇧🇷AveiroPará, Brazil

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

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

    99%match
  15. 15

    🇧🇷CastanhalPará, Brazil

    Zone 13b · No frost · 0 chill hours · 99 in rainZone 13b · No frost · 0 chill hours · 2,506 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  16. 16

    🇧🇷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 18 great-fit crops

    99%match
  17. 17

    🇧🇷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
  18. 18

    🇧🇷SantarémPará, Brazil

    Zone 13a · No frost · 0 chill hours · 81 in rainZone 13a · No frost · 0 chill hours · 2,045 mm rain

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

    99%match
  19. 19

    🇧🇷JurutiPará, Brazil

    Zone 13b · No frost · 0 chill hours · 83 in rainZone 13b · No frost · 0 chill hours · 2,111 mm rain

    Shares 17 of your 18 great-fit crops

    99%match
  20. 20

    🇧🇷São Miguel do GuamáPará, Brazil

    Zone 13a · No frost · 0 chill hours · 86 in rainZone 13a · No frost · 0 chill hours · 2,173 mm rain

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

    99%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 Oeiras do Pará: 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.