Climatch

Land with a climate like Belterra

🇧🇷Belterra, Pará, Brazil

The towns with the closest growing climate to Belterra are Aveiro, Brazil (99% match), Medicilândia and Alenquer. About 681,000 sq mi of land in 8 countries matches 80% or better, most of it in Pará, Brazil, Amazonas, Brazil and Maranhão, Brazil.The towns with the closest growing climate to Belterra are Aveiro, Brazil (99% match), Medicilândia and Alenquer. About 1.8 million km² of land in 8 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 · 75 in rainZone 13a · No frost · 0 chill hours · 1,903 mm rain

What grows in Belterra →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    163k sq mi422k km² matching 80% or better

    For example Aveiro (99), Medicilândia (99)

  2. 2

    🇧🇷Amazonas, Brazil

    115k sq mi297k km² matching 80% or better

    For example Nhamundá (95), Urucará (94)

  3. 3

    🇧🇷Maranhão, Brazil

    21k sq mi54k km² matching 80% or better

    For example Centro Novo do Maranhão (94), Santa Luzia do Paruá (94)

  4. 4

    🇵🇭Mimaropa, Philippines

    20k sq mi52k km² matching 80% or better

    For example Puerto Princesa (87), Narra (85)

  5. 5

    🇵🇭Central Visayas, Philippines

    10k sq mi26k km² matching 80% or better

    For example Bayawan (84), Santa Catalina (84)

  6. 6

    🇵🇭Calabarzon, Philippines

    9,000 sq mi23k km² matching 80% or better

    For example Cuenca (90), Lipa City (89)

  7. 7

    🇨🇩Équateur, Democratic Republic of the Congo

    8,400 sq mi22k km² matching 80% or better

    For example Basankusu (80), Mbandaka (80)

  8. 8

    🇮🇩Lampung, Indonesia

    3,600 sq mi9,300 km² matching 80% or better

    For example Bandar Lampung (81), Metro (80)

  9. 9

    🇮🇩North Sumatra, Indonesia

    3,300 sq mi8,500 km² matching 80% or better

    For example Teluk Nibung (83), Kisaran (83)

  10. 10

    🇮🇩Aceh, Indonesia

    3,000 sq mi7,700 km² matching 80% or better

    For example Langsa (83), Lhokseumawe (76)

  11. 11

    🇵🇪Ucayali, Peru

    3,000 sq mi7,700 km² matching 80% or better

    For example San Fernando (77), Pucallpa (72)

  12. 12

    🇨🇬Likouala, Republic of the Congo

    2,700 sq mi7,000 km² matching 80% or better

    For example Impfondo (79), Bétou (68)

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

    🇧🇷AveiroPará, Brazil

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

    Shares 19 of your 19 great-fit crops

    99%match
  2. 2

    🇧🇷MedicilândiaPará, Brazil

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

    Shares 19 of your 19 great-fit crops

    99%match
  3. 3

    🇧🇷AlenquerPará, Brazil

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

    Shares 19 of your 19 great-fit crops

    99%match
  4. 4

    🇧🇷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 19 great-fit crops

    98%match
  5. 5

    🇧🇷PlacasPará, Brazil

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

    Shares 19 of your 19 great-fit crops

    98%match
  6. 6

    🇧🇷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 19 of your 19 great-fit crops

    98%match
  7. 7

    🇧🇷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 19 great-fit crops

    98%match
  8. 8

    🇧🇷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 19 of your 19 great-fit crops

    98%match
  9. 9

    🇧🇷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 19 great-fit crops

    97%match
  10. 10

    🇧🇷UruaráPará, Brazil

    Zone 13a · No frost · 0 chill hours · 66 in rainZone 13a · No frost · 0 chill hours · 1,676 mm rain

    Shares 19 of your 19 great-fit crops

    97%match
  11. 11

    🇧🇷RurópolisPará, Brazil

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

    Shares 19 of your 19 great-fit crops

    97%match
  12. 12

    🇧🇷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 19 great-fit crops

    97%match
  13. 13

    🇧🇷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 19 great-fit crops

    97%match
  14. 14

    🇧🇷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 19 great-fit crops

    97%match
  15. 15

    🇧🇷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 19 great-fit crops

    97%match
  16. 16

    🇧🇷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 19 great-fit crops

    97%match
  17. 17

    🇧🇷PrainhaPará, Brazil

    Zone 13a · No frost · 0 chill hours · 70 in rainZone 13a · No frost · 0 chill hours · 1,768 mm rain

    Shares 18 of your 19 great-fit crops

    97%match
  18. 18

    🇧🇷Monte AlegrePará, Brazil

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

    Shares 18 of your 19 great-fit crops

    97%match
  19. 19

    🇧🇷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 19 great-fit crops

    97%match
  20. 20

    🇧🇷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 19 great-fit crops

    96%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 Belterra: 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.