Climatch

Land with a climate like Juruti

🇧🇷Juruti, Pará, Brazil

The towns with the closest growing climate to Juruti are Urucará, Brazil (99% match), Santarém and Aveiro. About 837,000 sq mi of land in 15 countries matches 80% or better, most of it in Pará, Brazil, Amazonas, Brazil and Maranhão, Brazil.The towns with the closest growing climate to Juruti are Urucará, Brazil (99% match), Santarém and Aveiro. About 2.2 million km² of land in 15 countries matches 80% or better, most of it in Pará, Brazil, Amazonas, Brazil and Maranhão, Brazil.

Your growing climate

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

What grows in Juruti →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    172k sq mi446k km² matching 80% or better

    For example Santarém (99), Aveiro (99)

  2. 2

    🇧🇷Amazonas, Brazil

    101k sq mi263k km² matching 80% or better

    For example Urucará (99), Itacoatiara (99)

  3. 3

    🇧🇷Maranhão, Brazil

    29k sq mi74k km² matching 80% or better

    For example Zé Doca (97), Pedro do Rosário (97)

  4. 4

    🇵🇭Mimaropa, Philippines

    27k sq mi70k km² matching 80% or better

    For example Puerto Princesa (94), Narra (93)

  5. 5

    🇵🇭Central Visayas, Philippines

    13k sq mi33k km² matching 80% or better

    For example Bayawan (93), Santa Catalina (93)

  6. 6

    🇮🇩Southeast Sulawesi, Indonesia

    12k sq mi32k km² matching 80% or better

    For example Kendari (86), Baubau (85)

  7. 7

    🇵🇭Western Visayas, Philippines

    12k sq mi30k km² matching 80% or better

    For example Sipalay (92), Asia (92)

  8. 8

    🇮🇩Central Kalimantan, Indonesia

    12k sq mi30k km² matching 80% or better

    For example Kualakapuas (84), Sampit (79)

  9. 9

    🇮🇩South Kalimantan, Indonesia

    11k sq mi29k km² matching 80% or better

    For example Martapura (83), Banjarbaru (82)

  10. 10

    🇲🇾Kedah, Malaysia

    6,200 sq mi16k km² matching 80% or better

    For example Padang Besar (87), Kampung Baru Ulu Melaka (87)

  11. 11

    🇮🇳Andaman and Nicobar, India

    5,000 sq mi13k km² matching 80% or better

    For example Port Blair (86), Rangat (84)

  12. 12

    🇹🇭Surat Thani, Thailand

    4,400 sq mi11k km² matching 80% or better

    For example Tha Kham (86), Surat Thani (86)

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

    🇧🇷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

    99%match
  2. 2

    🇧🇷SantarémPará, Brazil

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

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

    99%match
  3. 3

    🇧🇷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
  4. 4

    🇧🇷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 17 great-fit crops · Also great there: macadamia

    99%match
  5. 5

    🇧🇷BaiãoPará, Brazil

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

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

    99%match
  6. 6

    🇧🇷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 17 great-fit crops

    99%match
  7. 7

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

    99%match
  8. 8

    🇧🇷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
  9. 9

    🇧🇷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

    99%match
  10. 10

    🇧🇷CametáPará, Brazil

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

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

    99%match
  11. 11

    🇧🇷AlenquerPará, Brazil

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

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

    99%match
  12. 12

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

    99%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 17 great-fit crops

    99%match
  14. 14

    🇧🇷ParintinsAmazonas, Brazil

    Zone 13b · No frost · 0 chill hours · 98 in rainZone 13b · No frost · 0 chill hours · 2,480 mm rain

    Shares 17 of your 17 great-fit crops

    99%match
  15. 15

    🇧🇷CurralinhoPará, Brazil

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

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

    98%match
  16. 16

    🇧🇷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 17 great-fit crops

    98%match
  17. 17

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

    98%match
  18. 18

    🇧🇷ParagominasPará, Brazil

    Zone 13a · No frost · 0 chill hours · 75 in rainZone 13a · No frost · 0 chill hours · 1,901 mm rain

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

    98%match
  19. 19

    🇧🇷AbaetetubaPará, Brazil

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

    Shares 16 of your 17 great-fit crops · Also great there: macadamia

    98%match
  20. 20

    🇧🇷BagrePará, Brazil

    Zone 13a · No frost · 0 chill hours · 99 in rainZone 13a · No frost · 0 chill hours · 2,515 mm rain

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

    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 Juruti: 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.