Climatch

Land with a climate like Pacajá

🇧🇷Pacajá, Pará, Brazil

The towns with the closest growing climate to Pacajá are Novo Repartimento, Brazil (99% match), Tucuruí and Goianésia do Pará. About 619,000 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 Pacajá are Novo Repartimento, Brazil (99% match), Tucuruí and Goianésia do Pará. About 1.6 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 · 79 in rainZone 13a · No frost · 0 chill hours · 2,006 mm rain

What grows in Pacajá →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    189k sq mi491k km² matching 80% or better

    For example Breu Branco (99), Novo Repartimento (99)

  2. 2

    🇧🇷Amazonas, Brazil

    66k sq mi172k km² matching 80% or better

    For example Nhamundá (91), Urucará (90)

  3. 3

    🇧🇷Maranhão, Brazil

    45k sq mi117k km² matching 80% or better

    For example Alto Alegre do Pindaré (98), Zé Doca (97)

  4. 4

    🇵🇭Mimaropa, Philippines

    13k sq mi33k km² matching 80% or better

    For example Mamburao (84), Roxas (84)

  5. 5

    🇮🇩East Java, Indonesia

    12k sq mi30k km² matching 80% or better

    For example Sumenep (87), Pamekasan (87)

  6. 6

    🇧🇴Beni Department, Bolivia

    8,800 sq mi23k km² matching 80% or better

    For example Guayaramerín (80), Riberalta (80)

  7. 7

    🇮🇩Central Java, Indonesia

    5,900 sq mi15k km² matching 80% or better

    For example Tegal (84), Tarub (84)

  8. 8

    🇮🇩West Java, Indonesia

    5,600 sq mi15k km² matching 80% or better

    For example Karangampel (87), Sumber (87)

  9. 9

    🇸🇱Southern Province, Sierra Leone

    4,700 sq mi12k km² matching 80% or better

    For example Bumpe (84), Bo (82)

  10. 10

    🇵🇭Calabarzon, Philippines

    4,400 sq mi11k km² matching 80% or better

    For example Calaca (87), General Emilio Aguinaldo (87)

  11. 11

    🇵🇭Central Luzon, Philippines

    2,900 sq mi7,500 km² matching 80% or better

    For example Mariveles (84), Cabanatuan City (83)

  12. 12

    🇸🇱Eastern Province, Sierra Leone

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

    For example Kenema (79), Segbwema (77)

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

    🇧🇷Novo RepartimentoPará, Brazil

    Zone 13a · No frost · 0 chill hours · 76 in rainZone 13a · No frost · 0 chill hours · 1,939 mm rain

    Shares 14 of your 17 great-fit crops

    99%match
  2. 2

    🇧🇷TucuruíPará, Brazil

    Zone 13a · No frost · 0 chill hours · 94 in rainZone 13a · No frost · 0 chill hours · 2,383 mm rain

    Shares 16 of your 17 great-fit crops

    99%match
  3. 3

    🇧🇷Goianésia do ParáPará, Brazil

    Zone 13a · No frost · 0 chill hours · 85 in rainZone 13a · No frost · 0 chill hours · 2,169 mm rain

    Shares 15 of your 17 great-fit crops

    99%match
  4. 4

    🇧🇷UlianópolisPará, Brazil

    Zone 13a · No frost · 0 chill hours · 68 in rainZone 13a · No frost · 0 chill hours · 1,737 mm rain

    Shares 14 of your 17 great-fit crops

    99%match
  5. 5

    🇧🇷JacundáPará, Brazil

    Zone 13a · No frost · 0 chill hours · 75 in rainZone 13a · No frost · 0 chill hours · 1,900 mm rain

    Shares 13 of your 17 great-fit crops

    99%match
  6. 6

    🇧🇷AltamiraPará, Brazil

    Zone 13a · No frost · 0 chill hours · 81 in rainZone 13a · No frost · 0 chill hours · 2,059 mm rain

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

    99%match
  7. 7

    🇧🇷MedicilândiaPará, Brazil

    Zone 13a · No frost · 0 chill hours · 72 in rainZone 13a · No frost · 0 chill hours · 1,826 mm rain

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

    99%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 17 of your 17 great-fit crops · Also great there: macadamia, strawberry

    99%match
  9. 9

    🇧🇷PlacasPará, Brazil

    Zone 13a · No frost · 0 chill hours · 72 in rainZone 13a · No frost · 0 chill hours · 1,819 mm rain

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

    99%match
  10. 10

    🇧🇷Dom EliseuPará, Brazil

    Zone 13a · No frost · 0 chill hours · 61 in rainZone 13a · No frost · 0 chill hours · 1,562 mm rain

    Shares 14 of your 17 great-fit crops · Also great there: strawberry

    99%match
  11. 11

    🇧🇷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

    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 17 great-fit crops

    98%match
  13. 13

    🇧🇷UruaráPará, Brazil

    Zone 13a · No frost · 0 chill hours · 66 in rainZone 13a · No frost · 0 chill hours · 1,676 mm rain

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

    98%match
  14. 14

    🇧🇷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

    97%match
  15. 15

    🇧🇷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

    97%match
  16. 16

    🇧🇷Zé DocaMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 72 in rainZone 13a · No frost · 0 chill hours · 1,835 mm rain

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

    97%match
  17. 17

    🇧🇷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

    97%match
  18. 18

    🇧🇷MarabáPará, Brazil

    Zone 13a · No frost · 0 chill hours · 64 in rainZone 13a · No frost · 0 chill hours · 1,622 mm rain

    Shares 15 of your 17 great-fit crops

    96%match
  19. 19

    🇧🇷Bom Jesus do TocantinsPará, Brazil

    Zone 13a · No frost · 0 chill hours · 63 in rainZone 13a · No frost · 0 chill hours · 1,590 mm rain

    Shares 13 of your 17 great-fit crops

    96%match
  20. 20

    🇧🇷AlenquerPará, Brazil

    Zone 13a · No frost · 0 chill hours · 64 in rainZone 13a · No frost · 0 chill hours · 1,617 mm rain

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

    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 Pacajá: 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.