Climatch

Land with a climate like Santa Ana, Peru

🇵🇪Santa Ana, Cuzco Department, Peru

The towns with the closest growing climate to Santa Ana, Peru are Chapadão do Sul, Brazil (93% match), San Martín de Pangoa and São João da Boa Vista. About 279,000 sq mi of land in 11 countries matches 80% or better, most of it in São Paulo, Brazil, Minas Gerais, Brazil and Mato Grosso do Sul, Brazil.The towns with the closest growing climate to Santa Ana, Peru are Chapadão do Sul, Brazil (93% match), San Martín de Pangoa and São João da Boa Vista. About 723,000 km² of land in 11 countries matches 80% or better, most of it in São Paulo, Brazil, Minas Gerais, Brazil and Mato Grosso do Sul, Brazil.

Your growing climate

Zone 11b · No frost · 0 chill hours · 59 in rainZone 11b · No frost · 0 chill hours · 1,509 mm rain

What grows in Santa Ana, Peru →

Regions with the most land like yours

  1. 1

    🇧🇷São Paulo, Brazil

    65k sq mi170k km² matching 80% or better

    For example Cravinhos (92), São João da Boa Vista (91)

  2. 2

    🇧🇷Minas Gerais, Brazil

    54k sq mi140k km² matching 80% or better

    For example Uberaba (91), Poço Fundo (90)

  3. 3

    🇧🇷Mato Grosso do Sul, Brazil

    42k sq mi110k km² matching 80% or better

    For example Chapadão do Sul (93), Costa Rica (89)

  4. 4

    🇵🇪Junin, Peru

    6,500 sq mi17k km² matching 80% or better

    For example San Martín de Pangoa (92), Satipo (90)

  5. 5

    🇨🇩Ituri, Democratic Republic of the Congo

    5,400 sq mi14k km² matching 80% or better

    For example Bunia (84), Mangbwalu (82)

  6. 6

    🇵🇪San Martín Department, Peru

    4,700 sq mi12k km² matching 80% or better

    For example Rioja (74), Moyobamba (70)

  7. 7

    🇧🇴La Paz Department, Bolivia

    4,600 sq mi12k km² matching 80% or better

    For example Caranavi (85)

  8. 8

    🇵🇪Cuzco Department, Peru

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

  9. 9

    🇨🇩South Kivu, Democratic Republic of the Congo

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

    For example Bukavu (83), Kabare (66)

  10. 10

    🇧🇴Santa Cruz Department, Bolivia

    1,700 sq mi4,400 km² matching 80% or better

    For example El Torno (72), San Ignacio de Velasco (61)

  11. 11

    🇨🇩North Kivu, Democratic Republic of the Congo

    1,500 sq mi3,900 km² matching 80% or better

    For example Beni (80), Hyosha (78)

  12. 12

    🇪🇹South West Ethiopia Peoples' Region, Ethiopia

    1,200 sq mi3,100 km² matching 80% or better

    For example Tēpī (79), Komtikas (78)

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 23 of your 24 great-fit crops

    93%match
  2. 2

    🇵🇪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 23 of your 24 great-fit crops

    92%match
  3. 3

    🇧🇷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 24 great-fit crops · Also great there: fig

    91%match
  4. 4

    🇧🇷BauruSão Paulo, Brazil

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

    Shares 21 of your 24 great-fit crops · Also great there: fig

    91%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 23 of your 24 great-fit crops

    91%match
  6. 6

    🇧🇷JaúSão Paulo, Brazil

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

    Shares 21 of your 24 great-fit crops · Also great there: fig

    91%match
  7. 7

    🇧🇷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 22 of your 24 great-fit crops · Also great there: fig

    90%match
  8. 8

    🇧🇷São CarlosSão Paulo, Brazil

    Zone 11a · No frost · 2 chill hours · 54 in rainZone 11a · No frost · 2 chill hours · 1,369 mm rain

    Shares 23 of your 24 great-fit crops · Also great there: fig

    90%match
  9. 9

    🇧🇷Pouso AlegreMinas Gerais, Brazil

    Zone 10b · No frost · 31 chill hours · 59 in rainZone 10b · No frost · 31 chill hours · 1,502 mm rain

    Shares 22 of your 24 great-fit crops

    90%match
  10. 10

    🇧🇷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 24 of your 24 great-fit crops

    89%match
  11. 11

    🇧🇷ArarasSão Paulo, Brazil

    Zone 11a · No frost · 2 chill hours · 50 in rainZone 11a · No frost · 2 chill hours · 1,278 mm rain

    Shares 20 of your 24 great-fit crops · Also great there: fig

    89%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 24 great-fit crops · Also great there: fig

    89%match
  13. 13

    🇧🇷CampinasSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 49 in rainZone 11a · No frost · 0 chill hours · 1,256 mm rain

    Shares 22 of your 24 great-fit crops · Also great there: fig

    88%match
  14. 14

    🇧🇷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 24 great-fit crops

    88%match
  15. 15

    🇧🇷MatãoSão Paulo, Brazil

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

    Shares 20 of your 24 great-fit crops · Also great there: fig

    88%match
  16. 16

    🇧🇷AvaréSão Paulo, Brazil

    Zone 11a · No frost · 8 chill hours · 49 in rainZone 11a · No frost · 8 chill hours · 1,233 mm rain

    Shares 21 of your 24 great-fit crops · Also great there: fig, wine grapes

    88%match
  17. 17

    🇧🇷PiracicabaSão Paulo, Brazil

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

    Shares 21 of your 24 great-fit crops · Also great there: fig

    88%match
  18. 18

    🇧🇷Mogi GuaçuSão Paulo, Brazil

    Zone 11a · No frost · 4 chill hours · 52 in rainZone 11a · No frost · 4 chill hours · 1,329 mm rain

    Shares 21 of your 24 great-fit crops · Also great there: fig

    88%match
  19. 19

    🇧🇷AlfenasMinas Gerais, Brazil

    Zone 10b · No frost · 38 chill hours · 59 in rainZone 10b · No frost · 38 chill hours · 1,491 mm rain

    Shares 22 of your 24 great-fit crops · Also great there: fig

    88%match
  20. 20

    🇧🇷AltinópolisSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 60 in rainZone 11a · No frost · 0 chill hours · 1,521 mm rain

    Shares 23 of your 24 great-fit crops

    88%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 Santa Ana, Peru: 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.