Climatch

Land with a climate like São Paulo de Olivença

🇧🇷São Paulo de Olivença, Amazonas, Brazil

The towns with the closest growing climate to São Paulo de Olivença are Santo Antônio do Içá, Brazil (99% match), Iquitos and Juruá. About 1.9 million sq mi of land in 19 countries matches 80% or better, most of it in Amazonas, Brazil, Sarawak, Malaysia and Pará, Brazil.The towns with the closest growing climate to São Paulo de Olivença are Santo Antônio do Içá, Brazil (99% match), Iquitos and Juruá. About 5.0 million km² of land in 19 countries matches 80% or better, most of it in Amazonas, Brazil, Sarawak, Malaysia and Pará, Brazil.

Your growing climate

Zone 13a · No frost · 0 chill hours · 110 in rainZone 13a · No frost · 0 chill hours · 2,797 mm rain

What grows in São Paulo de Olivença →

Regions with the most land like yours

  1. 1

    🇧🇷Amazonas, Brazil

    202k sq mi524k km² matching 80% or better

    For example Tonantins (99), Santo Antônio do Içá (99)

  2. 2

    🇲🇾Sarawak, Malaysia

    42k sq mi108k km² matching 80% or better

    For example Sarikei (90), Maradong (90)

  3. 3

    🇧🇷Pará, Brazil

    29k sq mi75k km² matching 80% or better

    For example Breves (88), Trairão (87)

  4. 4

    🇧🇷Acre, Brazil

    28k sq mi73k km² matching 80% or better

    For example Mâncio Lima (94), Cruzeiro do Sul (94)

  5. 5

    🇵🇪Loreto, Peru

    25k sq mi66k km² matching 80% or better

    For example Iquitos (99), San Juan (99)

  6. 6

    🇮🇩North Sumatra, Indonesia

    25k sq mi65k km² matching 80% or better

    For example Pekan Bahapal (96), Tebingtinggi (96)

  7. 7

    🇮🇩West Kalimantan, Indonesia

    25k sq mi63k km² matching 80% or better

    For example Pontianak (93), Bengkayang (87)

  8. 8

    🇮🇩Central Kalimantan, Indonesia

    23k sq mi60k km² matching 80% or better

    For example Pangkalanbuun (90), Sampit (85)

  9. 9

    🇲🇾Johor, Malaysia

    13k sq mi35k km² matching 80% or better

    For example Muar (94), Kawasan Penempatan Ulu Benut Lima (93)

  10. 10

    🇵🇭Bicol Region, Philippines

    13k sq mi34k km² matching 80% or better

    For example San Jose (87), Goa (86)

  11. 11

    🇵🇭Western Visayas, Philippines

    12k sq mi32k km² matching 80% or better

    For example Murcia (94), Ualog (93)

  12. 12

    🇵🇭Central Visayas, Philippines

    12k sq mi30k km² matching 80% or better

    For example Canlaon (96), Guihulñgan (91)

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

    🇧🇷Santo Antônio do IçáAmazonas, Brazil

    Zone 13a · No frost · 0 chill hours · 112 in rainZone 13a · No frost · 0 chill hours · 2,844 mm rain

    Shares 16 of your 17 great-fit crops

    99%match
  2. 2

    🇵🇪IquitosLoreto, Peru

    Zone 13a · No frost · 0 chill hours · 109 in rainZone 13a · No frost · 0 chill hours · 2,763 mm rain

    Shares 17 of your 17 great-fit crops

    99%match
  3. 3

    🇧🇷JuruáAmazonas, Brazil

    Zone 13b · No frost · 0 chill hours · 117 in rainZone 13b · No frost · 0 chill hours · 2,984 mm rain

    Shares 15 of your 17 great-fit crops

    99%match
  4. 4

    🇧🇷TabatingaAmazonas, Brazil

    Zone 13a · No frost · 0 chill hours · 116 in rainZone 13a · No frost · 0 chill hours · 2,950 mm rain

    Shares 15 of your 17 great-fit crops

    99%match
  5. 5

    🇧🇷Fonte BoaAmazonas, Brazil

    Zone 13b · No frost · 0 chill hours · 108 in rainZone 13b · No frost · 0 chill hours · 2,749 mm rain

    Shares 16 of your 17 great-fit crops

    99%match
  6. 6

    🇧🇷TeféAmazonas, Brazil

    Zone 13b · No frost · 0 chill hours · 107 in rainZone 13b · No frost · 0 chill hours · 2,709 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: citrus

    99%match
  7. 7

    🇧🇷UariniAmazonas, Brazil

    Zone 13b · No frost · 0 chill hours · 123 in rainZone 13b · No frost · 0 chill hours · 3,132 mm rain

    Shares 14 of your 17 great-fit crops

    99%match
  8. 8

    🇵🇪RequenaLoreto, Peru

    Zone 13a · No frost · 0 chill hours · 98 in rainZone 13a · No frost · 0 chill hours · 2,477 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: citrus, avocado

    99%match
  9. 9

    🇧🇷MaraãAmazonas, Brazil

    Zone 13b · No frost · 0 chill hours · 109 in rainZone 13b · No frost · 0 chill hours · 2,771 mm rain

    Shares 16 of your 17 great-fit crops

    99%match
  10. 10

    🇧🇷CarauariAmazonas, Brazil

    Zone 13a · No frost · 0 chill hours · 102 in rainZone 13a · No frost · 0 chill hours · 2,585 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: citrus, avocado

    99%match
  11. 11

    🇧🇷CoariAmazonas, Brazil

    Zone 13b · No frost · 0 chill hours · 93 in rainZone 13b · No frost · 0 chill hours · 2,358 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: citrus, avocado

    99%match
  12. 12

    🇧🇷São Gabriel da CachoeiraAmazonas, Brazil

    Zone 13a · No frost · 0 chill hours · 112 in rainZone 13a · No frost · 0 chill hours · 2,851 mm rain

    Shares 16 of your 17 great-fit crops

    99%match
  13. 13

    🇧🇷IpixunaAmazonas, Brazil

    Zone 13a · No frost · 0 chill hours · 98 in rainZone 13a · No frost · 0 chill hours · 2,499 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: citrus, avocado

    98%match
  14. 14

    🇧🇷CodajásAmazonas, Brazil

    Zone 13b · No frost · 0 chill hours · 108 in rainZone 13b · No frost · 0 chill hours · 2,749 mm rain

    Shares 16 of your 17 great-fit crops

    98%match
  15. 15

    🇧🇷BeruriAmazonas, Brazil

    Zone 13b · No frost · 0 chill hours · 99 in rainZone 13b · No frost · 0 chill hours · 2,502 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: citrus, avocado

    98%match
  16. 16

    🇧🇷BarcelosAmazonas, Brazil

    Zone 13a · No frost · 0 chill hours · 95 in rainZone 13a · No frost · 0 chill hours · 2,402 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: citrus, avocado

    96%match
  17. 17

    🇨🇴Mitú↻Seasons flipped. Vaupés, Colombia

    Zone 13a · No frost · 0 chill hours · 129 in rainZone 13a · No frost · 0 chill hours · 3,270 mm rain

    Shares 14 of your 17 great-fit crops

    96%match
  18. 18

    🇵🇬MadangMadang Province, Papua New Guinea

    Zone 13a · No frost · 0 chill hours · 134 in rainZone 13a · No frost · 0 chill hours · 3,392 mm rain

    Shares 14 of your 17 great-fit crops

    96%match
  19. 19

    🇧🇷Santa Isabel do Rio NegroAmazonas, Brazil

    Zone 13a · No frost · 0 chill hours · 99 in rainZone 13a · No frost · 0 chill hours · 2,516 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: citrus, avocado

    96%match
  20. 20

    🇮🇩Binjai↻Seasons flipped. North Sumatra, Indonesia

    Zone 13a · No frost · 0 chill hours · 107 in rainZone 13a · No frost · 0 chill hours · 2,725 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: citrus

    95%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 São Paulo de Olivença: 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.