Climatch

Land with a climate like Portel

🇧🇷Portel, Pará, Brazil

The towns with the closest growing climate to Portel are Curralinho, Brazil (99% match), Gurupá and Anajás. About 1.0 million sq mi of land in 15 countries matches 80% or better, most of it in Pará, Brazil, Amazonas, Brazil and Central Kalimantan, Indonesia.The towns with the closest growing climate to Portel are Curralinho, Brazil (99% match), Gurupá and Anajás. About 2.7 million km² of land in 15 countries matches 80% or better, most of it in Pará, Brazil, Amazonas, Brazil and Central Kalimantan, Indonesia.

Your growing climate

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

What grows in Portel →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    161k sq mi417k km² matching 80% or better

    For example Curralinho (99), Oeiras do Pará (99)

  2. 2

    🇧🇷Amazonas, Brazil

    153k sq mi396k km² matching 80% or better

    For example Parintins (97), Nhamundá (97)

  3. 3

    🇮🇩Central Kalimantan, Indonesia

    19k sq mi50k km² matching 80% or better

    For example Kualakapuas (83), Sampit (83)

  4. 4

    🇵🇭Mimaropa, Philippines

    18k sq mi48k km² matching 80% or better

    For example Puerto Princesa (86), Narra (85)

  5. 5

    🇧🇷Maranhão, Brazil

    18k sq mi47k km² matching 80% or better

    For example Centro Novo do Maranhão (97), Santa Luzia do Paruá (97)

  6. 6

    🇵🇪Loreto, Peru

    14k sq mi36k km² matching 80% or better

    For example Requena (82), Yurimaguas (80)

  7. 7

    🇵🇭Central Visayas, Philippines

    13k sq mi34k km² matching 80% or better

    For example Santa Catalina (86), Bayawan (86)

  8. 8

    🇵🇭Western Visayas, Philippines

    13k sq mi33k km² matching 80% or better

    For example Murcia (88), Bago City (87)

  9. 9

    🇮🇩South Kalimantan, Indonesia

    9,900 sq mi26k km² matching 80% or better

    For example Martapura (80), Banjarbaru (80)

  10. 10

    🇮🇩Central Sulawesi, Indonesia

    9,300 sq mi24k km² matching 80% or better

    For example Bungku (84), Poso (83)

  11. 11

    🇨🇩Équateur, Democratic Republic of the Congo

    7,200 sq mi19k km² matching 80% or better

    For example Basankusu (81), Mbandaka (80)

  12. 12

    🇲🇾Kedah, Malaysia

    6,500 sq mi17k km² matching 80% or better

    For example Gurun (88), Kampung Baru Ulu Melaka (88)

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

    🇧🇷CurralinhoPará, Brazil

    Zone 13a · No frost · 0 chill hours · 96 in rainZone 13a · No frost · 0 chill hours · 2,430 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  2. 2

    🇧🇷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
  3. 3

    🇧🇷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
  4. 4

    🇧🇷Limoeiro do AjuruPará, Brazil

    Zone 13a · No frost · 0 chill hours · 98 in rainZone 13a · No frost · 0 chill hours · 2,491 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

    🇧🇷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
  7. 7

    🇧🇷CametáPará, Brazil

    Zone 13a · No frost · 0 chill hours · 93 in rainZone 13a · No frost · 0 chill hours · 2,363 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  8. 8

    🇧🇷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
  9. 9

    🇧🇷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
  10. 10

    🇧🇷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
  11. 11

    🇧🇷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
  12. 12

    🇧🇷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
  13. 13

    🇧🇷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
  14. 14

    🇧🇷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
  15. 15

    🇧🇷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

    98%match
  16. 16

    🇧🇷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

    98%match
  17. 17

    🇧🇷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

    98%match
  18. 18

    🇧🇷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

    98%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

    98%match
  20. 20

    🇧🇷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: strawberry

    98%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 Portel: 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.