Climatch

Land with a climate like Ponta de Pedras

🇧🇷Ponta de Pedras, Pará, Brazil

The towns with the closest growing climate to Ponta de Pedras are Limoeiro do Ajuru, Brazil (99% match), Vigia and Cametá. About 781,000 sq mi of land in 20 countries matches 80% or better, most of it in Pará, Brazil, Amazonas, Brazil and Maranhão, Brazil.The towns with the closest growing climate to Ponta de Pedras are Limoeiro do Ajuru, Brazil (99% match), Vigia and Cametá. About 2.0 million km² of land in 20 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 · 102 in rainZone 13b · No frost · 0 chill hours · 2,586 mm rain

What grows in Ponta de Pedras →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    151k sq mi392k km² matching 80% or better

    For example Bujaru (99), Limoeiro do Ajuru (99)

  2. 2

    🇧🇷Amazonas, Brazil

    76k sq mi197k km² matching 80% or better

    For example Parintins (96), Nhamundá (95)

  3. 3

    🇧🇷Maranhão, Brazil

    21k sq mi54k km² matching 80% or better

    For example Santa Luzia do Paruá (96), Maranhãozinho (96)

  4. 4

    🇵🇭Mimaropa, Philippines

    21k sq mi54k km² matching 80% or better

    For example Narra (86), Jose Rizal (86)

  5. 5

    🇮🇩Central Kalimantan, Indonesia

    19k sq mi48k km² matching 80% or better

    For example Kualakapuas (85), Sampit (81)

  6. 6

    🇮🇩Southeast Sulawesi, Indonesia

    13k sq mi33k km² matching 80% or better

    For example Kendari (88), Raha (83)

  7. 7

    🇵🇭Western Visayas, Philippines

    12k sq mi31k km² matching 80% or better

    For example Roxas City (87), Passi (86)

  8. 8

    🇮🇩South Kalimantan, Indonesia

    12k sq mi31k km² matching 80% or better

    For example Martapura (83), Banjarbaru (82)

  9. 9

    🇵🇭Zamboanga Peninsula, Philippines

    11k sq mi29k km² matching 80% or better

    For example Siocon (86), Dapitan (86)

  10. 10

    🇲🇾Kedah, Malaysia

    6,200 sq mi16k km² matching 80% or better

    For example Yan Besar (87), Gurun (86)

  11. 11

    🇹🇭Surat Thani, Thailand

    4,700 sq mi12k km² matching 80% or better

    For example Surat Thani (84), Ban Na San (84)

  12. 12

    🇵🇬Western Province, Papua New Guinea

    4,100 sq mi11k km² matching 80% or better

    For example Daru (87)

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

    🇧🇷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
  2. 2

    🇧🇷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 18 great-fit crops

    99%match
  3. 3

    🇧🇷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
  4. 4

    🇧🇷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
  5. 5

    🇧🇷CastanhalPará, Brazil

    Zone 13b · No frost · 0 chill hours · 99 in rainZone 13b · No frost · 0 chill hours · 2,506 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  6. 6

    🇧🇷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
  7. 7

    🇧🇷AcaráPará, Brazil

    Zone 13b · No frost · 0 chill hours · 90 in rainZone 13b · No frost · 0 chill hours · 2,277 mm rain

    Shares 18 of your 18 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 18 great-fit crops

    99%match
  9. 9

    🇧🇷SourePará, Brazil

    Zone 13b · No frost · 0 chill hours · 120 in rainZone 13b · No frost · 0 chill hours · 3,044 mm rain

    Shares 15 of your 18 great-fit crops

    99%match
  10. 10

    🇧🇷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 18 great-fit crops

    99%match
  11. 11

    🇧🇷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
  12. 12

    🇧🇷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

    98%match
  13. 13

    🇧🇷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

    98%match
  14. 14

    🇧🇷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

    98%match
  15. 15

    🇧🇷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

    97%match
  16. 16

    🇧🇷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

    97%match
  17. 17

    🇧🇷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 18 great-fit crops

    97%match
  18. 18

    🇧🇷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

    97%match
  19. 19

    🇧🇷Tomé-AçuPará, Brazil

    Zone 13a · No frost · 0 chill hours · 83 in rainZone 13a · No frost · 0 chill hours · 2,103 mm rain

    Shares 18 of your 18 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 18 great-fit crops

    96%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 Ponta de Pedras: 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.