Climatch

Land with a climate like Novo Repartimento

🇧🇷Novo Repartimento, Pará, Brazil

The towns with the closest growing climate to Novo Repartimento are Pacajá, Brazil (99% match), Jacundá and Goianésia do Pará. About 758,000 sq mi of land in 13 countries matches 80% or better, most of it in Pará, Brazil, Amazonas, Brazil and Maranhão, Brazil.The towns with the closest growing climate to Novo Repartimento are Pacajá, Brazil (99% match), Jacundá and Goianésia do Pará. About 2.0 million km² of land in 13 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 · 76 in rainZone 13a · No frost · 0 chill hours · 1,939 mm rain

What grows in Novo Repartimento →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    174k sq mi450k km² matching 80% or better

    For example Pacajá (99), Jacundá (99)

  2. 2

    🇧🇷Amazonas, Brazil

    69k sq mi180k km² matching 80% or better

    For example Nhamundá (89), Urucará (88)

  3. 3

    🇧🇷Maranhão, Brazil

    48k sq mi125k km² matching 80% or better

    For example Itinga do Maranhão (98), Alto Alegre do Pindaré (97)

  4. 4

    🇮🇩East Java, Indonesia

    14k sq mi37k km² matching 80% or better

    For example Sumenep (90), Sampang (90)

  5. 5

    🇵🇭Mimaropa, Philippines

    12k sq mi32k km² matching 80% or better

    For example Roxas (85), El Nido (84)

  6. 6

    🇧🇴Beni Department, Bolivia

    8,500 sq mi22k km² matching 80% or better

    For example Riberalta (84), Guayaramerín (84)

  7. 7

    🇮🇩Central Java, Indonesia

    8,000 sq mi21k km² matching 80% or better

    For example Tarub (87), Tegal (87)

  8. 8

    🇻🇪Bolívar, Venezuela

    6,800 sq mi18k km² matching 80% or better

    For example La Paragua (79), Ciudad Piar (77)

  9. 9

    🇮🇩West Java, Indonesia

    6,200 sq mi16k km² matching 80% or better

    For example Karangampel (90), Cirebon (90)

  10. 10

    🇨🇴Arauca Department, Colombia

    6,200 sq mi16k km² matching 80% or better

    For example Arauca (80), Tame (79)

  11. 11

    🇸🇱Southern Province, Sierra Leone

    5,000 sq mi13k km² matching 80% or better

    For example Bumpe (90), Bo (87)

  12. 12

    🇵🇭Central Luzon, Philippines

    4,600 sq mi12k km² matching 80% or better

    For example Cabanatuan City (86), Capas (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

    🇧🇷PacajáPará, Brazil

    Zone 13a · No frost · 0 chill hours · 79 in rainZone 13a · No frost · 0 chill hours · 2,006 mm rain

    Shares 14 of your 14 great-fit crops · Also great there: cacao, banana, tea

    99%match
  2. 2

    🇧🇷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 14 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 13 of your 14 great-fit crops · Also great there: cacao, banana

    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 14 great-fit crops

    99%match
  5. 5

    🇧🇷AnapuPará, Brazil

    Zone 13a · No frost · 0 chill hours · 85 in rainZone 13a · No frost · 0 chill hours · 2,155 mm rain

    Shares 14 of your 14 great-fit crops · Also great there: cacao, banana, macadamia

    99%match
  6. 6

    🇧🇷MarabáPará, Brazil

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

    Shares 13 of your 14 great-fit crops · Also great there: cacao, banana

    99%match
  7. 7

    🇧🇷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 14 great-fit crops · Also great there: strawberry

    99%match
  8. 8

    🇧🇷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 14 great-fit crops

    98%match
  9. 9

    🇧🇷Rondon do ParáPará, Brazil

    Zone 13a · No frost · 0 chill hours · 61 in rainZone 13a · No frost · 0 chill hours · 1,542 mm rain

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

    98%match
  10. 10

    🇧🇷ParagominasPará, Brazil

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

    Shares 14 of your 14 great-fit crops · Also great there: cacao, banana, tea

    97%match
  11. 11

    🇧🇷São Domingos do AraguaiaPará, Brazil

    Zone 13a · No frost · 0 chill hours · 60 in rainZone 13a · No frost · 0 chill hours · 1,536 mm rain

    Shares 13 of your 14 great-fit crops · Also great there: cacao, banana

    97%match
  12. 12

    🇧🇷TailândiaPará, Brazil

    Zone 13a · No frost · 0 chill hours · 92 in rainZone 13a · No frost · 0 chill hours · 2,333 mm rain

    Shares 14 of your 14 great-fit crops · Also great there: cacao, banana

    97%match
  13. 13

    🇧🇷AltamiraPará, Brazil

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

    Shares 14 of your 14 great-fit crops · Also great there: cacao, banana, tea

    97%match
  14. 14

    🇧🇷PlacasPará, Brazil

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

    Shares 14 of your 14 great-fit crops · Also great there: cacao, banana, tea

    96%match
  15. 15

    🇧🇷Tomé-AçuPará, Brazil

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

    Shares 14 of your 14 great-fit crops · Also great there: cacao, macadamia, banana

    96%match
  16. 16

    🇧🇷Eldorado dos CarajásPará, Brazil

    Zone 13a · No frost · 0 chill hours · 62 in rainZone 13a · No frost · 0 chill hours · 1,569 mm rain

    Shares 13 of your 14 great-fit crops · Also great there: cacao, banana

    96%match
  17. 17

    🇧🇷MedicilândiaPará, Brazil

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

    Shares 14 of your 14 great-fit crops · Also great there: cacao, banana, tea

    96%match
  18. 18

    🇧🇷ParauapebasPará, Brazil

    Zone 13a · No frost · 0 chill hours · 66 in rainZone 13a · No frost · 0 chill hours · 1,672 mm rain

    Shares 14 of your 14 great-fit crops · Also great there: cacao, banana, strawberry

    96%match
  19. 19

    🇧🇷UruaráPará, Brazil

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

    Shares 14 of your 14 great-fit crops · Also great there: cacao, banana, tea

    96%match
  20. 20

    🇧🇷BaiãoPará, Brazil

    Zone 13a · No frost · 0 chill hours · 99 in rainZone 13a · No frost · 0 chill hours · 2,505 mm rain

    Shares 14 of your 14 great-fit crops · Also great there: cacao, banana, tea

    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 Novo Repartimento: 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.