Climatch

Land with a climate like São Miguel do Guamá

🇧🇷São Miguel do Guamá, Pará, Brazil

The towns with the closest growing climate to São Miguel do Guamá are Cachoeira do Piriá, Brazil (99% match), Nova Esperança do Piriá and Governador Nunes Freire. About 570,000 sq mi of land in 9 countries matches 80% or better, most of it in Pará, Brazil, Amazonas, Brazil and Maranhão, Brazil.The towns with the closest growing climate to São Miguel do Guamá are Cachoeira do Piriá, Brazil (99% match), Nova Esperança do Piriá and Governador Nunes Freire. About 1.5 million km² of land in 9 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 · 86 in rainZone 13a · No frost · 0 chill hours · 2,173 mm rain

What grows in São Miguel do Guamá →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    155k sq mi402k km² matching 80% or better

    For example Cachoeira do Piriá (99), Nova Esperança do Piriá (99)

  2. 2

    🇧🇷Amazonas, Brazil

    78k sq mi203k km² matching 80% or better

    For example Parintins (94), Urucurituba (94)

  3. 3

    🇧🇷Maranhão, Brazil

    25k sq mi64k km² matching 80% or better

    For example Centro Novo do Maranhão (99), Maracaçumé (99)

  4. 4

    🇵🇭Mimaropa, Philippines

    11k sq mi30k km² matching 80% or better

    For example Narra (84), Puerto Princesa (84)

  5. 5

    🇵🇭Central Visayas, Philippines

    11k sq mi29k km² matching 80% or better

    For example Compostela (85), Danao (84)

  6. 6

    🇮🇩Central Sulawesi, Indonesia

    10k sq mi27k km² matching 80% or better

    For example Luwuk (86), Bungku (84)

  7. 7

    🇮🇩Southeast Sulawesi, Indonesia

    9,800 sq mi25k km² matching 80% or better

    For example Kendari (85), Raha (80)

  8. 8

    🇵🇭Zamboanga Peninsula, Philippines

    7,100 sq mi18k km² matching 80% or better

    For example Dapitan (84), Recodo (83)

  9. 9

    🇮🇩South Sulawesi, Indonesia

    4,800 sq mi12k km² matching 80% or better

    For example Watampone (81), Palopo (80)

  10. 10

    🇲🇾Kedah, Malaysia

    3,900 sq mi10k km² matching 80% or better

    For example Sik (82), Changloon (81)

  11. 11

    🇹🇭Trang, Thailand

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

    For example Huai Yot (82), Trang (80)

  12. 12

    🇵🇬Western Province, Papua New Guinea

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

    For example Daru (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

    🇧🇷Cachoeira do PiriáPará, Brazil

    Zone 13a · No frost · 0 chill hours · 85 in rainZone 13a · No frost · 0 chill hours · 2,159 mm rain

    Shares 19 of your 19 great-fit crops

    99%match
  2. 2

    🇧🇷Nova Esperança do PiriáPará, Brazil

    Zone 13a · No frost · 0 chill hours · 80 in rainZone 13a · No frost · 0 chill hours · 2,038 mm rain

    Shares 19 of your 19 great-fit crops

    99%match
  3. 3

    🇧🇷Governador Nunes FreireMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 92 in rainZone 13a · No frost · 0 chill hours · 2,342 mm rain

    Shares 19 of your 19 great-fit crops

    99%match
  4. 4

    🇧🇷Santa Luzia do ParuáMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 89 in rainZone 13a · No frost · 0 chill hours · 2,256 mm rain

    Shares 19 of your 19 great-fit crops

    99%match
  5. 5

    🇧🇷Santa Isabel do ParáPará, Brazil

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

    Shares 18 of your 19 great-fit crops

    99%match
  6. 6

    🇧🇷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 19 great-fit crops

    99%match
  7. 7

    🇧🇷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 19 great-fit crops

    99%match
  8. 8

    🇧🇷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

    99%match
  9. 9

    🇧🇷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 19 great-fit crops

    99%match
  10. 10

    🇧🇷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 19 great-fit crops

    99%match
  11. 11

    🇧🇷VigiaPará, Brazil

    Zone 13b · No frost · 0 chill hours · 113 in rainZone 13b · No frost · 0 chill hours · 2,863 mm rain

    Shares 15 of your 19 great-fit crops

    99%match
  12. 12

    🇧🇷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

    99%match
  13. 13

    🇧🇷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 19 great-fit crops

    99%match
  14. 14

    🇧🇷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

    99%match
  15. 15

    🇧🇷AfuáPará, Brazil

    Zone 13b · No frost · 0 chill hours · 94 in rainZone 13b · No frost · 0 chill hours · 2,389 mm rain

    Shares 18 of your 19 great-fit crops

    99%match
  16. 16

    🇧🇷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 19 great-fit crops

    99%match
  17. 17

    🇧🇷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

    99%match
  18. 18

    🇧🇷MarapanimPará, Brazil

    Zone 13b · No frost · 0 chill hours · 106 in rainZone 13b · No frost · 0 chill hours · 2,682 mm rain

    Shares 17 of your 19 great-fit crops

    99%match
  19. 19

    🇧🇷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 19 great-fit crops

    99%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 18 of your 19 great-fit crops

    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 São Miguel do Guamá: 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.