Climatch

Land with a climate like San Borja

🇧🇴San Borja, Beni Department, Bolivia

The towns with the closest growing climate to San Borja are Trinidad, Bolivia (99% match), Puerto Maldonado and Atalaya. About 1.3 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 San Borja are Trinidad, Bolivia (99% match), Puerto Maldonado and Atalaya. About 3.3 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 12b · No frost · 0 chill hours · 72 in rainZone 12b · No frost · 0 chill hours · 1,826 mm rain

What grows in San Borja →

Regions with the most land like yours

  1. 1

    🇧🇷Amazonas, Brazil

    105k sq mi272k km² matching 80% or better

    For example Apuí (87), Eirunepé (87)

  2. 2

    🇧🇷Pará, Brazil

    45k sq mi116k km² matching 80% or better

    For example Jacareacanga (88), Trairão (87)

  3. 3

    🇧🇷Acre, Brazil

    43k sq mi111k km² matching 80% or better

    For example Brasiléia (95), Epitaciolândia (95)

  4. 4

    🇧🇴Santa Cruz Department, Bolivia

    24k sq mi62k km² matching 80% or better

    For example Ascención de Guarayos (97), Villa Yapacaní (94)

  5. 5

    🇻🇪Bolívar, Venezuela

    23k sq mi59k km² matching 80% or better

    For example La Paragua (90), Ciudad Piar (89)

  6. 6

    🇧🇴Beni Department, Bolivia

    22k sq mi56k km² matching 80% or better

    For example Trinidad (99), Guayaramerín (94)

  7. 7

    🇵🇪Ucayali, Peru

    14k sq mi37k km² matching 80% or better

    For example Atalaya (97), San Fernando (92)

  8. 8

    🇵🇪Loreto, Peru

    13k sq mi34k km² matching 80% or better

    For example Contamana (89), Yurimaguas (87)

  9. 9

    🇨🇩Mongala, Democratic Republic of the Congo

    12k sq mi32k km² matching 80% or better

    For example Bumba (84), Lisala (80)

  10. 10

    🇨🇩Maniema, Democratic Republic of the Congo

    11k sq mi29k km² matching 80% or better

    For example Kindu (81), Kampene (81)

  11. 11

    🇵🇪San Martín Department, Peru

    8,900 sq mi23k km² matching 80% or better

    For example Juanjuí (93), Bellavista (92)

  12. 12

    🇨🇩Mai-Ndombe, Democratic Republic of the Congo

    8,700 sq mi22k km² matching 80% or better

    For example Mushie (80), Kutu (79)

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

    🇧🇴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 18 great-fit crops

    99%match
  2. 2

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

    98%match
  3. 3

    🇵🇪AtalayaUcayali, Peru

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

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

    97%match
  4. 4

    🇧🇴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 18 great-fit crops · Also great there: fig

    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 18 of your 18 great-fit crops · Also great there: macadamia

    95%match
  6. 6

    🇧🇴Villa YapacaníSanta Cruz Department, Bolivia

    Zone 12a · No frost · 0 chill hours · 66 in rainZone 12a · No frost · 0 chill hours · 1,684 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: wheat, macadamia, canola (rapeseed)

    94%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 18 of your 18 great-fit crops · Also great there: macadamia

    94%match
  8. 8

    🇧🇷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 18 great-fit crops

    94%match
  9. 9

    🇧🇷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 18 great-fit crops

    93%match
  10. 10

    🇧🇴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 18 great-fit crops

    93%match
  11. 11

    🇧🇷Marechal ThaumaturgoAcre, Brazil

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

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

    93%match
  12. 12

    🇧🇷XapuriAcre, Brazil

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

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

    93%match
  13. 13

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

    93%match
  14. 14

    🇧🇴MonteroSanta Cruz Department, Bolivia

    Zone 12a · No frost · 0 chill hours · 49 in rainZone 12a · No frost · 0 chill hours · 1,248 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: wheat, macadamia, fig

    93%match
  15. 15

    🇧🇴Santa Cruz de la SierraSanta Cruz Department, Bolivia

    Zone 12a · No frost · 0 chill hours · 50 in rainZone 12a · No frost · 0 chill hours · 1,281 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: macadamia, wheat, canola (rapeseed)

    92%match
  16. 16

    🇧🇷Pontes e LacerdaMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 60 in rainZone 12a · No frost · 0 chill hours · 1,517 mm rain

    Shares 17 of your 18 great-fit crops

    91%match
  17. 17

    🇧🇷Vila Bela da Santíssima TrindadeMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 60 in rainZone 12a · No frost · 0 chill hours · 1,527 mm rain

    Shares 17 of your 18 great-fit crops

    91%match
  18. 18

    🇧🇷Mirassol d'OesteMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 55 in rainZone 12a · No frost · 0 chill hours · 1,405 mm rain

    Shares 15 of your 18 great-fit crops · Also great there: fig

    90%match
  19. 19

    🇧🇷Porto AcreAcre, Brazil

    Zone 12b · No frost · 0 chill hours · 72 in rainZone 12b · No frost · 0 chill hours · 1,825 mm rain

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

    90%match
  20. 20

    🇻🇪La Paragua↻Seasons flipped. Bolívar, Venezuela

    Zone 13a · No frost · 0 chill hours · 82 in rainZone 13a · No frost · 0 chill hours · 2,088 mm rain

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

    90%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 San Borja: 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.