Climatch

Land with a climate like Atalaya

🇵🇪Atalaya, Ucayali, Peru

The towns with the closest growing climate to Atalaya are Puerto Maldonado, Peru (98% match), Juanjuí and San Borja. About 1.9 million sq mi of land in 25 countries matches 80% or better, most of it in Amazonas, Brazil, Acre, Brazil and Rondônia, Brazil.The towns with the closest growing climate to Atalaya are Puerto Maldonado, Peru (98% match), Juanjuí and San Borja. About 4.9 million km² of land in 25 countries matches 80% or better, most of it in Amazonas, Brazil, Acre, Brazil and Rondônia, Brazil.

Your growing climate

Zone 12b · No frost · 0 chill hours · 62 in rainZone 12b · No frost · 0 chill hours · 1,565 mm rain

What grows in Atalaya →

Regions with the most land like yours

  1. 1

    🇧🇷Amazonas, Brazil

    87k sq mi226k km² matching 80% or better

    For example Apuí (90), Eirunepé (89)

  2. 2

    🇧🇷Acre, Brazil

    46k sq mi119k km² matching 80% or better

    For example Brasiléia (97), Epitaciolândia (97)

  3. 3

    🇧🇷Rondônia, Brazil

    44k sq mi114k km² matching 80% or better

    For example Nova Mamoré (94), Guajará Mirim (94)

  4. 4

    🇨🇩Mai-Ndombe, Democratic Republic of the Congo

    27k sq mi69k km² matching 80% or better

    For example Mushie (89), Kutu (88)

  5. 5

    🇨🇩Kwilu, Democratic Republic of the Congo

    24k sq mi63k km² matching 80% or better

    For example Mangai (88), Bandundu Province (88)

  6. 6

    🇧🇴Santa Cruz Department, Bolivia

    24k sq mi62k km² matching 80% or better

    For example Ascención de Guarayos (94), Santa Cruz de la Sierra (90)

  7. 7

    🇻🇪Bolívar, Venezuela

    24k sq mi61k km² matching 80% or better

    For example Ciudad Piar (88), La Paragua (88)

  8. 8

    🇨🇩Tshopo, Democratic Republic of the Congo

    22k sq mi58k km² matching 80% or better

    For example Basoko (91), Kisangani (89)

  9. 9

    🇧🇴Beni Department, Bolivia

    22k sq mi56k km² matching 80% or better

    For example San Borja (97), Trinidad (97)

  10. 10

    🇵🇪Ucayali, Peru

    16k sq mi40k km² matching 80% or better

    For example San Fernando (96), Pucallpa (94)

  11. 11

    🇵🇪Loreto, Peru

    15k sq mi39k km² matching 80% or better

    For example Contamana (93), Yurimaguas (90)

  12. 12

    🇨🇬Cuvette, Republic of the Congo

    15k sq mi39k km² matching 80% or better

    For example Oyo (89), Mossaka (87)

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

    🇵🇪Puerto MaldonadoMadre de Dios, Peru

    Zone 12b · No frost · 0 chill hours · 88 in rainZone 12b · No frost · 0 chill hours · 2,242 mm rain

    Shares 19 of your 19 great-fit crops

    98%match
  2. 2

    🇵🇪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 18 of your 19 great-fit crops · Also great there: fig

    98%match
  3. 3

    🇧🇴San BorjaBeni Department, Bolivia

    Zone 12b · No frost · 0 chill hours · 72 in rainZone 12b · No frost · 0 chill hours · 1,826 mm rain

    Shares 18 of your 19 great-fit crops

    97%match
  4. 4

    🇧🇴TrinidadBeni Department, Bolivia

    Zone 12a · No frost · 0 chill hours · 71 in rainZone 12a · No frost · 0 chill hours · 1,801 mm rain

    Shares 18 of your 19 great-fit crops

    97%match
  5. 5

    🇧🇷BrasiléiaAcre, Brazil

    Zone 12b · No frost · 0 chill hours · 70 in rainZone 12b · No frost · 0 chill hours · 1,770 mm rain

    Shares 19 of your 19 great-fit crops

    97%match
  6. 6

    🇧🇷Marechal ThaumaturgoAcre, Brazil

    Zone 12b · No frost · 0 chill hours · 71 in rainZone 12b · No frost · 0 chill hours · 1,803 mm rain

    Shares 19 of your 19 great-fit crops

    97%match
  7. 7

    🇧🇷Plácido de CastroAcre, Brazil

    Zone 12b · No frost · 0 chill hours · 69 in rainZone 12b · No frost · 0 chill hours · 1,746 mm rain

    Shares 19 of your 19 great-fit crops

    95%match
  8. 8

    🇵🇪La BandaSan Martín Department, Peru

    Zone 13a · No frost · 0 chill hours · 58 in rainZone 13a · No frost · 0 chill hours · 1,485 mm rain

    Shares 18 of your 19 great-fit crops · Also great there: fig

    95%match
  9. 9

    🇵🇪TocacheSan Martín Department, Peru

    Zone 12b · No frost · 0 chill hours · 90 in rainZone 12b · No frost · 0 chill hours · 2,298 mm rain

    Shares 19 of your 19 great-fit crops

    95%match
  10. 10

    🇧🇷XapuriAcre, Brazil

    Zone 12b · No frost · 0 chill hours · 71 in rainZone 12b · No frost · 0 chill hours · 1,813 mm rain

    Shares 19 of your 19 great-fit crops

    95%match
  11. 11

    🇧🇷Nova MamoréRondônia, Brazil

    Zone 12b · No frost · 0 chill hours · 72 in rainZone 12b · No frost · 0 chill hours · 1,840 mm rain

    Shares 16 of your 19 great-fit crops

    94%match
  12. 12

    🇧🇷Guajará MirimRondônia, Brazil

    Zone 13a · No frost · 0 chill hours · 70 in rainZone 13a · No frost · 0 chill hours · 1,789 mm rain

    Shares 15 of your 19 great-fit crops

    94%match
  13. 13

    🇵🇪PucallpaUcayali, Peru

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

    Shares 18 of your 19 great-fit crops

    94%match
  14. 14

    🇧🇴Ascención de GuarayosSanta Cruz Department, Bolivia

    Zone 12a · No frost · 0 chill hours · 49 in rainZone 12a · No frost · 0 chill hours · 1,242 mm rain

    Shares 16 of your 19 great-fit crops · Also great there: fig

    94%match
  15. 15

    🇵🇪Santa RosaJunin, Peru

    Zone 12a · No frost · 0 chill hours · 71 in rainZone 12a · No frost · 0 chill hours · 1,804 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: wheat, canola (rapeseed), coffee (arabica)

    94%match
  16. 16

    🇵🇪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 19 great-fit crops

    93%match
  17. 17

    🇱🇷Zwedru↻Seasons flipped. Grand Gedeh County, Liberia

    Zone 12b · No frost · 0 chill hours · 79 in rainZone 12b · No frost · 0 chill hours · 2,009 mm rain

    Shares 19 of your 19 great-fit crops

    93%match
  18. 18

    🇧🇴RiberaltaBeni Department, Bolivia

    Zone 13a · No frost · 0 chill hours · 70 in rainZone 13a · No frost · 0 chill hours · 1,777 mm rain

    Shares 15 of your 19 great-fit crops

    93%match
  19. 19

    🇨🇩LodjaSankuru, Democratic Republic of the Congo

    Zone 12b · No frost · 0 chill hours · 55 in rainZone 12b · No frost · 0 chill hours · 1,388 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: fig

    93%match
  20. 20

    🇨🇩KampeneManiema, Democratic Republic of the Congo

    Zone 12b · No frost · 0 chill hours · 57 in rainZone 12b · No frost · 0 chill hours · 1,443 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: fig, wheat

    92%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 Atalaya: 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.