Climatch

Land with a climate like Yurimaguas

🇵🇪Yurimaguas, Loreto, Peru

The towns with the closest growing climate to Yurimaguas are Contamana, Peru (99% match), Pucallpa and Requena. About 2.3 million sq mi of land in 19 countries matches 80% or better, most of it in Amazonas, Brazil, Pará, Brazil and Acre, Brazil.The towns with the closest growing climate to Yurimaguas are Contamana, Peru (99% match), Pucallpa and Requena. About 6.0 million km² of land in 19 countries matches 80% or better, most of it in Amazonas, Brazil, Pará, Brazil and Acre, Brazil.

Your growing climate

Zone 13a · No frost · 0 chill hours · 84 in rainZone 13a · No frost · 0 chill hours · 2,137 mm rain

What grows in Yurimaguas →

Regions with the most land like yours

  1. 1

    🇧🇷Amazonas, Brazil

    212k sq mi550k km² matching 80% or better

    For example Borba (97), Benjamin Constant (97)

  2. 2

    🇧🇷Pará, Brazil

    50k sq mi128k km² matching 80% or better

    For example Trairão (94), Itaituba (93)

  3. 3

    🇧🇷Acre, Brazil

    37k sq mi96k km² matching 80% or better

    For example Mâncio Lima (93), Rio Branco (93)

  4. 4

    🇮🇩Central Kalimantan, Indonesia

    27k sq mi71k km² matching 80% or better

    For example Sampit (93), Palangkaraya (92)

  5. 5

    🇵🇪Loreto, Peru

    25k sq mi66k km² matching 80% or better

    For example Contamana (99), Requena (99)

  6. 6

    🇮🇩West Kalimantan, Indonesia

    24k sq mi61k km² matching 80% or better

    For example Pontianak (89), Manismata (89)

  7. 7

    🇮🇩Jambi, Indonesia

    20k sq mi52k km² matching 80% or better

    For example Jambi City (93), Muara Bungo (91)

  8. 8

    🇧🇴Beni Department, Bolivia

    19k sq mi50k km² matching 80% or better

    For example San Borja (87), Guayaramerín (86)

  9. 9

    🇲🇾Sarawak, Malaysia

    19k sq mi50k km² matching 80% or better

    For example Kanowit (83), Engkilili (83)

  10. 10

    🇵🇪Ucayali, Peru

    15k sq mi39k km² matching 80% or better

    For example San Fernando (99), Pucallpa (99)

  11. 11

    🇨🇩Tshopo, Democratic Republic of the Congo

    14k sq mi36k km² matching 80% or better

    For example Kisangani (89), Basoko (88)

  12. 12

    🇨🇩Mai-Ndombe, Democratic Republic of the Congo

    14k sq mi36k km² matching 80% or better

    For example Inongo (86), Kutu (83)

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

    🇵🇪ContamanaLoreto, Peru

    Zone 13a · No frost · 0 chill hours · 68 in rainZone 13a · No frost · 0 chill hours · 1,716 mm rain

    Shares 17 of your 17 great-fit crops

    99%match
  2. 2

    🇵🇪PucallpaUcayali, Peru

    Zone 13a · No frost · 0 chill hours · 72 in rainZone 13a · No frost · 0 chill hours · 1,817 mm rain

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

    99%match
  3. 3

    🇵🇪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: macadamia, strawberry

    99%match
  4. 4

    🇮🇩Medan↻Seasons flipped. North Sumatra, Indonesia

    Zone 13a · No frost · 0 chill hours · 101 in rainZone 13a · No frost · 0 chill hours · 2,568 mm rain

    Shares 17 of your 17 great-fit crops

    97%match
  5. 5

    🇧🇷BorbaAmazonas, Brazil

    Zone 13b · No frost · 0 chill hours · 80 in rainZone 13b · No frost · 0 chill hours · 2,036 mm rain

    Shares 17 of your 17 great-fit crops

    97%match
  6. 6

    🇧🇷BeruriAmazonas, Brazil

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

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

    97%match
  7. 7

    🇲🇾Malacca↻Seasons flipped. Melaka, Malaysia

    Zone 13b · No frost · 0 chill hours · 93 in rainZone 13b · No frost · 0 chill hours · 2,364 mm rain

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

    97%match
  8. 8

    🇵🇭Kidapawan↻Seasons flipped. Soccsksargen, Philippines

    Zone 13a · No frost · 0 chill hours · 86 in rainZone 13a · No frost · 0 chill hours · 2,189 mm rain

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

    97%match
  9. 9

    🇧🇷Fonte BoaAmazonas, Brazil

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

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

    97%match
  10. 10

    🇧🇷TeféAmazonas, Brazil

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

    Shares 16 of your 17 great-fit crops

    96%match
  11. 11

    🇧🇷Novo AripuanãAmazonas, Brazil

    Zone 13b · No frost · 0 chill hours · 98 in rainZone 13b · No frost · 0 chill hours · 2,478 mm rain

    Shares 17 of your 17 great-fit crops

    96%match
  12. 12

    🇲🇾Seremban↻Seasons flipped. Negeri Sembilan, Malaysia

    Zone 13b · No frost · 0 chill hours · 87 in rainZone 13b · No frost · 0 chill hours · 2,205 mm rain

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

    96%match
  13. 13

    🇧🇷ManicoréAmazonas, Brazil

    Zone 13b · No frost · 0 chill hours · 100 in rainZone 13b · No frost · 0 chill hours · 2,541 mm rain

    Shares 16 of your 17 great-fit crops

    96%match
  14. 14

    🇵🇪JuanjuíSan Martín Department, Peru

    Zone 13a · No frost · 0 chill hours · 56 in rainZone 13a · No frost · 0 chill hours · 1,426 mm rain

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

    96%match
  15. 15

    🇧🇷CoariAmazonas, Brazil

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

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

    96%match
  16. 16

    🇧🇷MaraãAmazonas, Brazil

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

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

    96%match
  17. 17

    🇧🇷ManausAmazonas, Brazil

    Zone 13b · No frost · 0 chill hours · 92 in rainZone 13b · No frost · 0 chill hours · 2,341 mm rain

    Shares 17 of your 17 great-fit crops

    96%match
  18. 18

    🇧🇷TapauáAmazonas, Brazil

    Zone 13a · No frost · 0 chill hours · 94 in rainZone 13a · No frost · 0 chill hours · 2,389 mm rain

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

    96%match
  19. 19

    🇧🇷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

    96%match
  20. 20

    🇵🇭NIA Valencia↻Seasons flipped. Northern Mindanao, Philippines

    Zone 13a · No frost · 0 chill hours · 107 in rainZone 13a · No frost · 0 chill hours · 2,718 mm rain

    Shares 16 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 Yurimaguas: 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.