Climatch

Land with a climate like Pedro do Rosário

🇧🇷Pedro do Rosário, Maranhão, Brazil

The towns with the closest growing climate to Pedro do Rosário are Rosário, Brazil (99% match), Monte Alegre and Santa Inês. About 441,000 sq mi of land in 10 countries matches 80% or better, most of it in Pará, Brazil, Amazonas, Brazil and Maranhão, Brazil.The towns with the closest growing climate to Pedro do Rosário are Rosário, Brazil (99% match), Monte Alegre and Santa Inês. About 1.1 million km² of land in 10 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 · 1,912 mm rain

What grows in Pedro do Rosário →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    166k sq mi431k km² matching 80% or better

    For example Monte Alegre (99), Nova Esperança do Piriá (99)

  2. 2

    🇧🇷Amazonas, Brazil

    47k sq mi123k km² matching 80% or better

    For example Nhamundá (94), Urucará (94)

  3. 3

    🇧🇷Maranhão, Brazil

    45k sq mi118k km² matching 80% or better

    For example Bacabeira (99), Rosário (99)

  4. 4

    🇮🇩Southeast Sulawesi, Indonesia

    11k sq mi29k km² matching 80% or better

    For example Raha (86), Katobu (86)

  5. 5

    🇵🇭Mimaropa, Philippines

    9,700 sq mi25k km² matching 80% or better

    For example Narra (87), Puerto Princesa (86)

  6. 6

    🇵🇭Calabarzon, Philippines

    5,500 sq mi14k km² matching 80% or better

    For example San Pascual (85), Bauan (85)

  7. 7

    🇲🇽Tabasco, Mexico

    3,100 sq mi8,100 km² matching 80% or better

    For example Frontera (84), Comalcalco (81)

  8. 8

    🇮🇩Central Sulawesi, Indonesia

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

    For example Luwuk (84), Bungku (73)

  9. 9

    🇵🇭Central Visayas, Philippines

    2,700 sq mi6,900 km² matching 80% or better

    For example Liloan (83), Compostela (83)

  10. 10

    🇮🇩West Java, Indonesia

    2,100 sq mi5,400 km² matching 80% or better

    For example Indramayu (84), Karangampel (83)

  11. 11

    🇹🇹Point Fortin, Trinidad and Tobago

    1,800 sq mi4,600 km² matching 80% or better

    For example Point Fortin (84)

  12. 12

    🇹🇭Surat Thani, Thailand

    1,500 sq mi3,800 km² matching 80% or better

    For example Tha Kham (83), Surat Thani (82)

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

    🇧🇷RosárioMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 72 in rainZone 13a · No frost · 0 chill hours · 1,817 mm rain

    Shares 17 of your 19 great-fit crops

    99%match
  2. 2

    🇧🇷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

    99%match
  3. 3

    🇧🇷Santa InêsMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 71 in rainZone 13a · No frost · 0 chill hours · 1,815 mm rain

    Shares 16 of your 19 great-fit crops

    99%match
  4. 4

    🇧🇷Santa HelenaMaranhão, Brazil

    Zone 13b · No frost · 0 chill hours · 92 in rainZone 13b · No frost · 0 chill hours · 2,343 mm rain

    Shares 15 of your 19 great-fit crops

    99%match
  5. 5

    🇧🇷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
  6. 6

    🇧🇷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
  7. 7

    🇧🇷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
  8. 8

    🇧🇷ParagominasPará, Brazil

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

    Shares 19 of your 19 great-fit crops

    98%match
  9. 9

    🇧🇷Vitória do MearimMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 66 in rainZone 13a · No frost · 0 chill hours · 1,674 mm rain

    Shares 13 of your 19 great-fit crops

    98%match
  10. 10

    🇧🇷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

    98%match
  11. 11

    🇧🇷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
  12. 12

    🇧🇷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

    98%match
  13. 13

    🇧🇷Capitão PoçoPará, Brazil

    Zone 13a · No frost · 0 chill hours · 86 in rainZone 13a · No frost · 0 chill hours · 2,174 mm rain

    Shares 19 of your 19 great-fit crops

    98%match
  14. 14

    🇧🇷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 19 of your 19 great-fit crops

    98%match
  15. 15

    🇧🇷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

    97%match
  16. 16

    🇧🇷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

    97%match
  17. 17

    🇧🇷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

    97%match
  18. 18

    🇧🇷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
  19. 19

    🇧🇷TuriaçuMaranhão, Brazil

    Zone 13b · No frost · 0 chill hours · 80 in rainZone 13b · No frost · 0 chill hours · 2,044 mm rain

    Shares 16 of your 19 great-fit crops

    97%match
  20. 20

    🇧🇷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

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 Pedro do Rosário: 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.