Climatch

Land with a climate like Santa Isabel do Pará

🇧🇷Santa Isabel do Pará, Pará, Brazil

The towns with the closest growing climate to Santa Isabel do Pará are Abaetetuba, Brazil (99% match), Anajás and Concórdia do Pará. About 1.1 million sq mi of land in 13 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 Santa Isabel do Pará are Abaetetuba, Brazil (99% match), Anajás and Concórdia do Pará. About 2.7 million km² of land in 13 countries matches 80% or better, most of it in Pará, Brazil, Amazonas, Brazil and Central Kalimantan, Indonesia.

Your growing climate

Zone 13b · No frost · 0 chill hours · 100 in rainZone 13b · No frost · 0 chill hours · 2,546 mm rain

What grows in Santa Isabel do Pará →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    156k sq mi403k km² matching 80% or better

    For example Abaetetuba (99), Moju (99)

  2. 2

    🇧🇷Amazonas, Brazil

    149k sq mi386k km² matching 80% or better

    For example Parintins (99), Urucurituba (98)

  3. 3

    🇮🇩Central Kalimantan, Indonesia

    23k sq mi60k km² matching 80% or better

    For example Kualakapuas (85), Sampit (84)

  4. 4

    🇵🇭Mimaropa, Philippines

    18k sq mi46k km² matching 80% or better

    For example Romblon (85), Pinamalayan (85)

  5. 5

    🇧🇷Maranhão, Brazil

    17k sq mi45k km² matching 80% or better

    For example Centro Novo do Maranhão (98), Maracaçumé (97)

  6. 6

    🇮🇩South Sumatra, Indonesia

    14k sq mi37k km² matching 80% or better

    For example Baturaja (84), Prabumulih (82)

  7. 7

    🇵🇭Western Visayas, Philippines

    14k sq mi36k km² matching 80% or better

    For example Passi (89), Iloilo (88)

  8. 8

    🇵🇭Central Visayas, Philippines

    14k sq mi35k km² matching 80% or better

    For example Santa Catalina (88), Bayawan (88)

  9. 9

    🇮🇩South Kalimantan, Indonesia

    13k sq mi34k km² matching 80% or better

    For example Martapura (83), Banjarbaru (82)

  10. 10

    🇵🇪Loreto, Peru

    12k sq mi32k km² matching 80% or better

    For example Requena (80), Yurimaguas (80)

  11. 11

    🇲🇾Kedah, Malaysia

    6,500 sq mi17k km² matching 80% or better

    For example Gurun (90), Yan Besar (89)

  12. 12

    🇲🇾Perak, Malaysia

    4,200 sq mi11k km² matching 80% or better

    For example Gerik (86), Kuala Kurau (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

    🇧🇷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
  2. 2

    🇧🇷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
  3. 3

    🇧🇷Concórdia do ParáPará, Brazil

    Zone 13a · No frost · 0 chill hours · 85 in rainZone 13a · No frost · 0 chill hours · 2,165 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  4. 4

    🇧🇷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
  5. 5

    🇧🇷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
  6. 6

    🇧🇷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
  7. 7

    🇧🇷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
  8. 8

    🇧🇷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
  9. 9

    🇧🇷BagrePará, Brazil

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

    Shares 18 of your 18 great-fit crops

    99%match
  10. 10

    🇧🇷Cachoeira do ArariPará, Brazil

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

    Shares 17 of your 18 great-fit crops

    99%match
  11. 11

    🇧🇷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
  12. 12

    🇧🇷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
  13. 13

    🇧🇷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
  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 18 great-fit crops

    99%match
  15. 15

    🇧🇷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
  16. 16

    🇧🇷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
  17. 17

    🇧🇷ChavesPará, Brazil

    Zone 13b · No frost · 0 chill hours · 102 in rainZone 13b · No frost · 0 chill hours · 2,603 mm rain

    Shares 17 of your 18 great-fit crops

    99%match
  18. 18

    🇧🇷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
  19. 19

    🇧🇷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
  20. 20

    🇧🇷Capitão PoçoPará, Brazil

    Zone 13a · No frost · 0 chill hours · 86 in rainZone 13a · No frost · 0 chill hours · 2,174 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 Santa Isabel 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.