Climatch

Land with a climate like Quillabamba

🇵🇪Quillabamba, Cuzco Department, Peru

The towns with the closest growing climate to Quillabamba are Chapadão do Sul, Brazil (94% match), Bauru and San Martín de Pangoa. About 425,000 sq mi of land in 17 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Mato Grosso do Sul, Brazil.The towns with the closest growing climate to Quillabamba are Chapadão do Sul, Brazil (94% match), Bauru and San Martín de Pangoa. About 1.1 million km² of land in 17 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Mato Grosso do Sul, Brazil.

Your growing climate

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

What grows in Quillabamba →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    88k sq mi227k km² matching 80% or better

    For example Uberaba (93), Poço Fundo (87)

  2. 2

    🇧🇷São Paulo, Brazil

    74k sq mi191k km² matching 80% or better

    For example Bauru (93), Lorena (93)

  3. 3

    🇧🇷Mato Grosso do Sul, Brazil

    63k sq mi163k km² matching 80% or better

    For example Chapadão do Sul (94), Costa Rica (93)

  4. 4

    🇨🇩Ituri, Democratic Republic of the Congo

    6,000 sq mi15k km² matching 80% or better

    For example Bunia (84), Mangbwalu (82)

  5. 5

    🇵🇪Junin, Peru

    5,900 sq mi15k km² matching 80% or better

    For example San Martín de Pangoa (93), Satipo (92)

  6. 6

    🇵🇪San Martín Department, Peru

    4,400 sq mi12k km² matching 80% or better

    For example Rioja (77), Moyobamba (74)

  7. 7

    🇧🇴La Paz Department, Bolivia

    4,300 sq mi11k km² matching 80% or better

    For example Caranavi (89)

  8. 8

    🇵🇪Cuzco Department, Peru

    3,200 sq mi8,300 km² matching 80% or better

  9. 9

    🇧🇴Santa Cruz Department, Bolivia

    3,100 sq mi8,100 km² matching 80% or better

    For example El Torno (79), San Ignacio de Velasco (73)

  10. 10

    🇨🇩North Kivu, Democratic Republic of the Congo

    3,000 sq mi7,700 km² matching 80% or better

    For example Beni (80), Hyosha (80)

  11. 11

    🇨🇩Tanganyika, Democratic Republic of the Congo

    2,100 sq mi5,400 km² matching 80% or better

    For example Kongolo (70), Kalima (69)

  12. 12

    🇺🇬Western Region, Uganda

    1,800 sq mi4,600 km² matching 80% or better

    For example Kagadi (80), Muhorro (80)

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

    🇧🇷Chapadão do SulMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 60 in rainZone 11b · No frost · 0 chill hours · 1,531 mm rain

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

    94%match
  2. 2

    🇧🇷BauruSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 45 in rainZone 11b · No frost · 0 chill hours · 1,143 mm rain

    Shares 22 of your 23 great-fit crops

    93%match
  3. 3

    🇵🇪San Martín de PangoaJunin, Peru

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

    Shares 21 of your 23 great-fit crops · Also great there: tea, cacao

    93%match
  4. 4

    🇧🇷Costa RicaMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 59 in rainZone 11b · No frost · 0 chill hours · 1,503 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: tea, cacao

    93%match
  5. 5

    🇧🇷UberabaMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 65 in rainZone 11b · No frost · 0 chill hours · 1,649 mm rain

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

    93%match
  6. 6

    🇧🇷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 22 of your 23 great-fit crops · Also great there: tea, cacao

    92%match
  7. 7

    🇧🇷JaúSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 49 in rainZone 11a · No frost · 0 chill hours · 1,243 mm rain

    Shares 22 of your 23 great-fit crops

    92%match
  8. 8

    🇧🇷Ribeirão PretoSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 59 in rainZone 11b · No frost · 0 chill hours · 1,500 mm rain

    Shares 21 of your 23 great-fit crops

    92%match
  9. 9

    🇧🇷IbitingaSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 47 in rainZone 11a · No frost · 0 chill hours · 1,198 mm rain

    Shares 21 of your 23 great-fit crops

    92%match
  10. 10

    🇧🇷Lençóis PaulistaSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 47 in rainZone 11a · No frost · 0 chill hours · 1,185 mm rain

    Shares 23 of your 23 great-fit crops

    92%match
  11. 11

    🇧🇷Novo HorizonteSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 48 in rainZone 11b · No frost · 0 chill hours · 1,209 mm rain

    Shares 20 of your 23 great-fit crops

    92%match
  12. 12

    🇧🇷MatãoSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 52 in rainZone 11a · No frost · 0 chill hours · 1,313 mm rain

    Shares 21 of your 23 great-fit crops

    92%match
  13. 13

    🇧🇷CatanduvaSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 50 in rainZone 11b · No frost · 0 chill hours · 1,280 mm rain

    Shares 20 of your 23 great-fit crops

    91%match
  14. 14

    🇧🇷São João da Boa VistaSão Paulo, Brazil

    Zone 11a · No frost · 5 chill hours · 56 in rainZone 11a · No frost · 5 chill hours · 1,420 mm rain

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

    91%match
  15. 15

    🇧🇷Chapada dos GuimarãesMato Grosso, Brazil

    Zone 11b · No frost · 0 chill hours · 58 in rainZone 11b · No frost · 0 chill hours · 1,470 mm rain

    Shares 22 of your 23 great-fit crops

    91%match
  16. 16

    🇧🇷LinsSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 48 in rainZone 11a · No frost · 0 chill hours · 1,224 mm rain

    Shares 23 of your 23 great-fit crops

    91%match
  17. 17

    🇧🇷JaboticabalSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 53 in rainZone 11b · No frost · 0 chill hours · 1,335 mm rain

    Shares 21 of your 23 great-fit crops

    91%match
  18. 18

    🇧🇷Santa Cruz das PalmeirasSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 50 in rainZone 11a · No frost · 0 chill hours · 1,265 mm rain

    Shares 22 of your 23 great-fit crops

    91%match
  19. 19

    🇧🇷PiracicabaSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 48 in rainZone 11a · No frost · 0 chill hours · 1,230 mm rain

    Shares 22 of your 23 great-fit crops

    90%match
  20. 20

    🇧🇷CassilândiaMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 57 in rainZone 11b · No frost · 0 chill hours · 1,454 mm rain

    Shares 20 of your 23 great-fit crops

    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 Quillabamba: 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.