Climatch

Land with a climate like Vitória do Xingu

🇧🇷Vitória do Xingu, Pará, Brazil

The towns with the closest growing climate to Vitória do Xingu are Tailândia, Brazil (99% match), Brasil Novo and Baião. About 625,000 sq mi of land in 6 countries matches 80% or better, most of it in Pará, Brazil, Amazonas, Brazil and Maranhão, Brazil.The towns with the closest growing climate to Vitória do Xingu are Tailândia, Brazil (99% match), Brasil Novo and Baião. About 1.6 million km² of land in 6 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 · 81 in rainZone 13a · No frost · 0 chill hours · 2,069 mm rain

What grows in Vitória do Xingu →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    185k sq mi479k km² matching 80% or better

    For example Mocajuba (99), Tailândia (99)

  2. 2

    🇧🇷Amazonas, Brazil

    99k sq mi257k km² matching 80% or better

    For example Nhamundá (98), Urucará (98)

  3. 3

    🇧🇷Maranhão, Brazil

    33k sq mi85k km² matching 80% or better

    For example Zé Doca (99), Pedro do Rosário (98)

  4. 4

    🇵🇭Mimaropa, Philippines

    19k sq mi49k km² matching 80% or better

    For example Mamburao (88), Puerto Princesa (87)

  5. 5

    🇵🇭Calabarzon, Philippines

    5,500 sq mi14k km² matching 80% or better

    For example San Pascual (89), Bauan (89)

  6. 6

    🇵🇭Western Visayas, Philippines

    5,300 sq mi14k km² matching 80% or better

    For example Asia (86), Sipalay (86)

  7. 7

    🇮🇩Lampung, Indonesia

    4,500 sq mi12k km² matching 80% or better

    For example Metro (83), Terbanggi Besar (81)

  8. 8

    🇮🇩West Java, Indonesia

    4,500 sq mi12k km² matching 80% or better

    For example Weru (85), Karangampel (85)

  9. 9

    🇵🇪Ucayali, Peru

    3,800 sq mi10,000 km² matching 80% or better

    For example San Fernando (78), Pucallpa (74)

  10. 10

    🇮🇩Central Java, Indonesia

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

    For example Tegal (84), Pemalang (84)

  11. 11

    🇹🇭Chumphon, Thailand

    2,600 sq mi6,900 km² matching 80% or better

    For example Lang Suan (84), Chumphon (81)

  12. 12

    🇲🇾Kedah, Malaysia

    1,200 sq mi3,100 km² matching 80% or better

    For example Kampung Baru Ulu Melaka (82), Kuah (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

    🇧🇷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

    99%match
  2. 2

    🇧🇷Brasil NovoPará, Brazil

    Zone 13a · No frost · 0 chill hours · 78 in rainZone 13a · No frost · 0 chill hours · 1,971 mm rain

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

    99%match
  3. 3

    🇧🇷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

    99%match
  4. 4

    🇧🇷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
  5. 5

    🇧🇷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

    99%match
  6. 6

    🇧🇷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
  7. 7

    🇧🇷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

    99%match
  8. 8

    🇧🇷AveiroPará, Brazil

    Zone 13a · No frost · 0 chill hours · 76 in rainZone 13a · No frost · 0 chill hours · 1,931 mm rain

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

    99%match
  9. 9

    🇧🇷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 17 great-fit crops

    99%match
  10. 10

    🇧🇷AnapuPará, Brazil

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

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

    99%match
  11. 11

    🇧🇷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 17 great-fit crops

    99%match
  12. 12

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

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

    99%match
  15. 15

    🇧🇷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

    99%match
  16. 16

    🇧🇷RurópolisPará, Brazil

    Zone 13a · No frost · 0 chill hours · 78 in rainZone 13a · No frost · 0 chill hours · 1,972 mm rain

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

    99%match
  17. 17

    🇧🇷CametáPará, Brazil

    Zone 13a · No frost · 0 chill hours · 93 in rainZone 13a · No frost · 0 chill hours · 2,363 mm rain

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

    99%match
  18. 18

    🇧🇷OriximináPará, Brazil

    Zone 13b · No frost · 0 chill hours · 92 in rainZone 13b · No frost · 0 chill hours · 2,334 mm rain

    Shares 17 of your 17 great-fit crops

    99%match
  19. 19

    🇧🇷NhamundáAmazonas, Brazil

    Zone 13b · No frost · 0 chill hours · 95 in rainZone 13b · No frost · 0 chill hours · 2,424 mm rain

    Shares 17 of your 17 great-fit crops

    98%match
  20. 20

    🇧🇷PacajáPará, Brazil

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

    Shares 17 of your 17 great-fit crops

    98%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 Vitória do Xingu: 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.