Climatch

Land with a climate like San Martín de Pangoa

🇵🇪San Martín de Pangoa, Junin, Peru

The towns with the closest growing climate to San Martín de Pangoa are Caranavi, Bolivia (96% match), Beni and Quillabamba. About 691,000 sq mi of land in 19 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, São Paulo, Brazil and Santa Cruz Department, Bolivia.The towns with the closest growing climate to San Martín de Pangoa are Caranavi, Bolivia (96% match), Beni and Quillabamba. About 1.8 million km² of land in 19 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, São Paulo, Brazil and Santa Cruz Department, Bolivia.

Your growing climate

Zone 12a · No frost · 0 chill hours · 62 in rainZone 12a · No frost · 0 chill hours · 1,586 mm rain

What grows in San Martín de Pangoa →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso do Sul, Brazil

    91k sq mi236k km² matching 80% or better

    For example Nova Alvorada do Sul (91), São Gabriel do Oeste (91)

  2. 2

    🇧🇷São Paulo, Brazil

    36k sq mi94k km² matching 80% or better

    For example Presidente Prudente (91), Regente Feijó (90)

  3. 3

    🇧🇴Santa Cruz Department, Bolivia

    19k sq mi50k km² matching 80% or better

    For example Villa Yapacaní (89), Santa Cruz de la Sierra (89)

  4. 4

    🇧🇷Mato Grosso, Brazil

    18k sq mi48k km² matching 80% or better

    For example Rosário Oeste (86), Nobres (84)

  5. 5

    🇵🇪San Martín Department, Peru

    16k sq mi41k km² matching 80% or better

    For example Rioja (95), Moyobamba (92)

  6. 6

    🇨🇩Haut-Uele, Democratic Republic of the Congo

    14k sq mi36k km² matching 80% or better

    For example Wamba (88), Isiro (87)

  7. 7

    🇨🇩Maniema, Democratic Republic of the Congo

    13k sq mi35k km² matching 80% or better

    For example Kampene (91), Kindu (83)

  8. 8

    🇧🇴Beni Department, Bolivia

    13k sq mi33k km² matching 80% or better

    For example Trinidad (82), San Borja (80)

  9. 9

    🇨🇩Sankuru, Democratic Republic of the Congo

    11k sq mi29k km² matching 80% or better

    For example Lukula (86), Lodja (86)

  10. 10

    🇵🇪Ucayali, Peru

    7,100 sq mi18k km² matching 80% or better

    For example Atalaya (92), San Fernando (75)

  11. 11

    🇵🇪Junin, Peru

    6,800 sq mi17k km² matching 80% or better

  12. 12

    🇨🇮Montagnes, Ivory Coast

    5,300 sq mi14k km² matching 80% or better

    For example Bloléquin (83), Danané (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

    🇧🇴CaranaviLa Paz Department, Bolivia

    Zone 12a · No frost · 0 chill hours · 59 in rainZone 12a · No frost · 0 chill hours · 1,506 mm rain

    Shares 23 of your 23 great-fit crops

    96%match
  2. 2

    🇨🇩Beni↻Seasons flipped. North Kivu, Democratic Republic of the Congo

    Zone 12b · No frost · 0 chill hours · 57 in rainZone 12b · No frost · 0 chill hours · 1,460 mm rain

    Shares 23 of your 23 great-fit crops · Also great there: fig

    94%match
  3. 3

    🇵🇪QuillabambaCuzco Department, Peru

    Zone 12a · No frost · 0 chill hours · 53 in rainZone 12a · No frost · 0 chill hours · 1,350 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: fig, potato

    93%match
  4. 4

    🇵🇪MoyobambaSan Martín Department, Peru

    Zone 12b · No frost · 0 chill hours · 63 in rainZone 12b · No frost · 0 chill hours · 1,608 mm rain

    Shares 22 of your 23 great-fit crops

    92%match
  5. 5

    🇪🇨ZamoraZamora Chinchipe, Ecuador

    Zone 12b · No frost · 0 chill hours · 66 in rainZone 12b · No frost · 0 chill hours · 1,685 mm rain

    Shares 23 of your 23 great-fit crops

    92%match
  6. 6

    🇵🇪Tingo MaríaHuánuco Department, Peru

    Zone 12b · No frost · 0 chill hours · 108 in rainZone 12b · No frost · 0 chill hours · 2,744 mm rain

    Shares 19 of your 23 great-fit crops

    92%match
  7. 7

    🇵🇪AtalayaUcayali, Peru

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

    Shares 19 of your 23 great-fit crops

    92%match
  8. 8

    🇵🇪La PecaAmazonas, Peru

    Zone 12a · No frost · 0 chill hours · 41 in rainZone 12a · No frost · 0 chill hours · 1,044 mm rain

    Shares 20 of your 23 great-fit crops · Also great there: fig, potato, wine grapes

    92%match
  9. 9

    🇧🇷Presidente PrudenteSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 47 in rainZone 11b · No frost · 0 chill hours · 1,200 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: fig

    91%match
  10. 10

    🇨🇩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 20 of your 23 great-fit crops · Also great there: fig

    91%match
  11. 11

    🇧🇷Nova Alvorada do SulMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 55 in rainZone 11b · No frost · 0 chill hours · 1,386 mm rain

    Shares 23 of your 23 great-fit crops · Also great there: fig, potato

    91%match
  12. 12

    🇧🇷São Gabriel do OesteMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 56 in rainZone 11b · No frost · 0 chill hours · 1,421 mm rain

    Shares 23 of your 23 great-fit crops · Also great there: fig

    91%match
  13. 13

    🇧🇷Ribas do Rio PardoMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 54 in rainZone 11b · No frost · 0 chill hours · 1,377 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: fig

    91%match
  14. 14

    🇧🇷Campo GrandeMato Grosso do Sul, Brazil

    Zone 12a · No frost · 0 chill hours · 53 in rainZone 12a · No frost · 0 chill hours · 1,353 mm rain

    Shares 23 of your 23 great-fit crops · Also great there: fig

    91%match
  15. 15

    🇧🇷ItaguaíRio de Janeiro, Brazil

    Zone 11b · No frost · 0 chill hours · 51 in rainZone 11b · No frost · 0 chill hours · 1,303 mm rain

    Shares 23 of your 23 great-fit crops · Also great there: fig

    91%match
  16. 16

    🇨🇩Babamba↻Seasons flipped. Tshopo, Democratic Republic of the Congo

    Zone 12b · No frost · 0 chill hours · 58 in rainZone 12b · No frost · 0 chill hours · 1,473 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: fig

    90%match
  17. 17

    🇧🇷Rio BrilhanteMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 55 in rainZone 11b · No frost · 0 chill hours · 1,404 mm rain

    Shares 23 of your 23 great-fit crops · Also great there: fig, potato

    90%match
  18. 18

    🇧🇷Presidente EpitácioSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 45 in rainZone 11b · No frost · 0 chill hours · 1,151 mm rain

    Shares 20 of your 23 great-fit crops · Also great there: fig

    90%match
  19. 19

    🇧🇴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 22 of your 23 great-fit crops

    89%match
  20. 20

    🇵🇪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 23 great-fit crops

    89%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 Martín de Pangoa: 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.