Climatch

Land with a climate like Cajamar

🇧🇷Cajamar, São Paulo, Brazil

The towns with the closest growing climate to Cajamar are Salto de Pirapora, Brazil (99% match), Extrema and Itapetininga. About 211,000 sq mi of land in 15 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Paraná, Brazil.The towns with the closest growing climate to Cajamar are Salto de Pirapora, Brazil (99% match), Extrema and Itapetininga. About 547,000 km² of land in 15 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Paraná, Brazil.

Your growing climate

Zone 11a · No frost · 11 chill hours · 51 in rainZone 11a · No frost · 11 chill hours · 1,285 mm rain

What grows in Cajamar →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    50k sq mi130k km² matching 80% or better

    For example Extrema (99), Camanducaia (98)

  2. 2

    🇧🇷São Paulo, Brazil

    42k sq mi109k km² matching 80% or better

    For example Pilar do Sul (99), Araçoiaba da Serra (99)

  3. 3

    🇧🇷Paraná, Brazil

    36k sq mi94k km² matching 80% or better

    For example Arapoti (92), Jaguariaíva (92)

  4. 4

    🇨🇳Yunnan, China

    9,900 sq mi26k km² matching 80% or better

    For example Wenshan City (85), Kaihua (85)

  5. 5

    🇿🇦KwaZulu-Natal, South Africa

    6,500 sq mi17k km² matching 80% or better

    For example Eshowe (87), Pinetown (86)

  6. 6

    🇿🇦Eastern Cape, South Africa

    3,500 sq mi9,100 km² matching 80% or better

    For example Gonubie (81), East London (81)

  7. 7

    🇵🇪San Martín Department, Peru

    2,400 sq mi6,100 km² matching 80% or better

  8. 8

    🇻🇳Lai Châu Province, Vietnam

    2,200 sq mi5,700 km² matching 80% or better

    For example Lai Châu (84)

  9. 9

    🇱🇦Houaphan, Laos

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

    For example Xam Nua (78)

  10. 10

    🇻🇳Lao Cai, Vietnam

    1,700 sq mi4,300 km² matching 80% or better

  11. 11

    🇻🇳Tuyen Quang, Vietnam

    1,700 sq mi4,300 km² matching 80% or better

  12. 12

    🇵🇪Cajamarca Department, Peru

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

    For example Jaén (59)

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

    🇧🇷Salto de PiraporaSão Paulo, Brazil

    Zone 11a · No frost · 7 chill hours · 42 in rainZone 11a · No frost · 7 chill hours · 1,069 mm rain

    Shares 20 of your 21 great-fit crops

    99%match
  2. 2

    🇧🇷ExtremaMinas Gerais, Brazil

    Zone 10b · No frost · 79 chill hours · 56 in rainZone 10b · No frost · 79 chill hours · 1,423 mm rain

    Shares 18 of your 21 great-fit crops

    99%match
  3. 3

    🇧🇷ItapetiningaSão Paulo, Brazil

    Zone 11a · No frost · 12 chill hours · 46 in rainZone 11a · No frost · 12 chill hours · 1,172 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: sugarcane, banana

    99%match
  4. 4

    🇧🇷Serra NegraSão Paulo, Brazil

    Zone 10b · No frost · 45 chill hours · 54 in rainZone 10b · No frost · 45 chill hours · 1,368 mm rain

    Shares 20 of your 21 great-fit crops

    98%match
  5. 5

    🇧🇷CunhaSão Paulo, Brazil

    Zone 10b · No frost · 107 chill hours · 56 in rainZone 10b · No frost · 107 chill hours · 1,425 mm rain

    Shares 20 of your 21 great-fit crops

    98%match
  6. 6

    🇧🇷Capão BonitoSão Paulo, Brazil

    Zone 10b · No frost · 40 chill hours · 49 in rainZone 10b · No frost · 40 chill hours · 1,246 mm rain

    Shares 20 of your 21 great-fit crops

    97%match
  7. 7

    🇧🇷BoituvaSão Paulo, Brazil

    Zone 11a · No frost · 2 chill hours · 45 in rainZone 11a · No frost · 2 chill hours · 1,132 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: sugarcane, cassava, mango

    97%match
  8. 8

    🇧🇷São José dos CamposSão Paulo, Brazil

    Zone 11a · No frost · 2 chill hours · 49 in rainZone 11a · No frost · 2 chill hours · 1,244 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: sugarcane, banana, cassava

    97%match
  9. 9

    🇧🇷BotucatuSão Paulo, Brazil

    Zone 11a · No frost · 13 chill hours · 51 in rainZone 11a · No frost · 13 chill hours · 1,306 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: banana, sugarcane

    96%match
  10. 10

    🇧🇷Biritiba MirimSão Paulo, Brazil

    Zone 10b · No frost · 23 chill hours · 69 in rainZone 10b · No frost · 23 chill hours · 1,746 mm rain

    Shares 19 of your 21 great-fit crops

    96%match
  11. 11

    🇧🇷ParaisópolisMinas Gerais, Brazil

    Zone 10b · No frost · 63 chill hours · 58 in rainZone 10b · No frost · 63 chill hours · 1,480 mm rain

    Shares 20 of your 21 great-fit crops

    96%match
  12. 12

    🇧🇷Nova FriburgoRio de Janeiro, Brazil

    Zone 10b · No frost · 82 chill hours · 53 in rainZone 10b · No frost · 82 chill hours · 1,358 mm rain

    Shares 20 of your 21 great-fit crops

    96%match
  13. 13

    🇧🇷TeresópolisRio de Janeiro, Brazil

    Zone 10b · No frost · 65 chill hours · 66 in rainZone 10b · No frost · 65 chill hours · 1,668 mm rain

    Shares 16 of your 21 great-fit crops

    95%match
  14. 14

    🇧🇷Rio ClaroRio de Janeiro, Brazil

    Zone 11a · No frost · 11 chill hours · 56 in rainZone 11a · No frost · 11 chill hours · 1,422 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: sugarcane, banana, cassava

    95%match
  15. 15

    🇧🇷ItapevaSão Paulo, Brazil

    Zone 10b · No frost · 59 chill hours · 48 in rainZone 10b · No frost · 59 chill hours · 1,223 mm rain

    Shares 20 of your 21 great-fit crops

    94%match
  16. 16

    🇧🇷PetrópolisRio de Janeiro, Brazil

    Zone 10b · No frost · 29 chill hours · 70 in rainZone 10b · No frost · 29 chill hours · 1,789 mm rain

    Shares 18 of your 21 great-fit crops

    94%match
  17. 17

    🇧🇷Juiz de ForaMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 54 in rainZone 11a · No frost · 0 chill hours · 1,384 mm rain

    Shares 19 of your 21 great-fit crops · Also great there: sugarcane, cassava, mango

    94%match
  18. 18

    🇧🇷BarbacenaMinas Gerais, Brazil

    Zone 11a · No frost · 8 chill hours · 56 in rainZone 11a · No frost · 8 chill hours · 1,430 mm rain

    Shares 20 of your 21 great-fit crops

    93%match
  19. 19

    🇧🇷Lima DuarteMinas Gerais, Brazil

    Zone 11a · No frost · 5 chill hours · 52 in rainZone 11a · No frost · 5 chill hours · 1,327 mm rain

    Shares 19 of your 21 great-fit crops · Also great there: sugarcane, cassava

    93%match
  20. 20

    🇧🇷AvaréSão Paulo, Brazil

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

    Shares 20 of your 21 great-fit crops · Also great there: banana, sugarcane, cassava

    93%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 Cajamar: 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.