Climatch

Land with a climate like Oriximiná

🇧🇷Oriximiná, Pará, Brazil

The towns with the closest growing climate to Oriximiná are Itacoatiara, Brazil (99% match), Nhamundá and Urucará. About 1.3 million sq mi of land in 21 countries matches 80% or better, most of it in Amazonas, Brazil, Pará, Brazil and Mimaropa, Philippines.The towns with the closest growing climate to Oriximiná are Itacoatiara, Brazil (99% match), Nhamundá and Urucará. About 3.5 million km² of land in 21 countries matches 80% or better, most of it in Amazonas, Brazil, Pará, Brazil and Mimaropa, Philippines.

Your growing climate

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

What grows in Oriximiná →

Regions with the most land like yours

  1. 1

    🇧🇷Amazonas, Brazil

    183k sq mi474k km² matching 80% or better

    For example Itacoatiara (99), Nhamundá (99)

  2. 2

    🇧🇷Pará, Brazil

    171k sq mi442k km² matching 80% or better

    For example Terra Santa (99), Moju (99)

  3. 3

    🇵🇭Mimaropa, Philippines

    26k sq mi68k km² matching 80% or better

    For example Puerto Princesa (91), Pinamalayan (90)

  4. 4

    🇮🇩Central Kalimantan, Indonesia

    24k sq mi63k km² matching 80% or better

    For example Kualakapuas (88), Sampit (86)

  5. 5

    🇧🇷Maranhão, Brazil

    21k sq mi55k km² matching 80% or better

    For example Santa Luzia do Paruá (96), Centro Novo do Maranhão (95)

  6. 6

    🇵🇪Loreto, Peru

    21k sq mi55k km² matching 80% or better

    For example Yurimaguas (88), Requena (86)

  7. 7

    🇮🇩South Sumatra, Indonesia

    15k sq mi39k km² matching 80% or better

    For example Baturaja (85), Prabumulih (84)

  8. 8

    🇵🇭Western Visayas, Philippines

    14k sq mi37k km² matching 80% or better

    For example Iloilo (94), Bago City (93)

  9. 9

    🇵🇭Central Visayas, Philippines

    14k sq mi35k km² matching 80% or better

    For example Santa Catalina (94), Bayawan (94)

  10. 10

    🇮🇩South Kalimantan, Indonesia

    13k sq mi34k km² matching 80% or better

    For example Martapura (86), Banjarbaru (86)

  11. 11

    🇲🇾Kedah, Malaysia

    6,500 sq mi17k km² matching 80% or better

    For example Gurun (92), Padang Besar (91)

  12. 12

    🇵🇪Ucayali, Peru

    6,500 sq mi17k km² matching 80% or better

    For example San Fernando (84), Pucallpa (80)

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

    🇧🇷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
  2. 2

    🇧🇷NhamundáAmazonas, Brazil

    Zone 13b · No frost · 0 chill hours · 95 in rainZone 13b · No frost · 0 chill hours · 2,424 mm rain

    Shares 17 of your 17 great-fit crops

    99%match
  3. 3

    🇧🇷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
  4. 4

    🇧🇷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
  5. 5

    🇧🇷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
  6. 6

    🇧🇷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
  7. 7

    🇧🇷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
  8. 8

    🇧🇷ItaitubaPará, Brazil

    Zone 13a · No frost · 0 chill hours · 79 in rainZone 13a · No frost · 0 chill hours · 2,016 mm rain

    Shares 16 of your 17 great-fit crops

    99%match
  9. 9

    🇧🇷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

    99%match
  10. 10

    🇧🇷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
  11. 11

    🇧🇷BarreirinhaAmazonas, Brazil

    Zone 13b · No frost · 0 chill hours · 103 in rainZone 13b · No frost · 0 chill hours · 2,616 mm rain

    Shares 16 of your 17 great-fit crops

    99%match
  12. 12

    🇧🇷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
  13. 13

    🇧🇷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
  14. 14

    🇧🇷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
  15. 15

    🇧🇷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

    99%match
  16. 16

    🇧🇷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
  17. 17

    🇧🇷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
  18. 18

    🇧🇷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
  19. 19

    🇧🇷BelémPará, Brazil

    Zone 13b · No frost · 0 chill hours · 107 in rainZone 13b · No frost · 0 chill hours · 2,707 mm rain

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

    99%match
  20. 20

    🇧🇷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

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 Oriximiná: 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.