Climatch

Land with a climate like Vargem Alta

🇧🇷Vargem Alta, Espírito Santo, Brazil

The towns with the closest growing climate to Vargem Alta are Santa Maria de Jetibá, Brazil (99% match), Lajinha and Piraí. About 294,000 sq mi of land in 16 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 Vargem Alta are Santa Maria de Jetibá, Brazil (99% match), Lajinha and Piraí. About 762,000 km² of land in 16 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 · 0 chill hours · 46 in rainZone 11a · No frost · 0 chill hours · 1,180 mm rain

What grows in Vargem Alta →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    59k sq mi152k km² matching 80% or better

    For example Lajinha (99), Manhumirim (96)

  2. 2

    🇧🇷São Paulo, Brazil

    50k sq mi130k km² matching 80% or better

    For example Paraibuna (96), Jacareí (96)

  3. 3

    🇧🇷Paraná, Brazil

    50k sq mi130k km² matching 80% or better

    For example Nova Esperança (94), Astorga (94)

  4. 4

    🇿🇦KwaZulu-Natal, South Africa

    9,900 sq mi26k km² matching 80% or better

    For example Shakaskraal (92), Tongaat (92)

  5. 5

    🇲🇬Alaotra Mangoro, Madagascar

    3,400 sq mi8,800 km² matching 80% or better

    For example Moramanga (83), Didy (80)

  6. 6

    🇵🇪San Martín Department, Peru

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

    For example Rioja (65), Moyobamba (63)

  7. 7

    🇹🇿Tanga, Tanzania

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

    For example Maramba (85), Matui (84)

  8. 8

    🇲🇽Veracruz, Mexico

    2,000 sq mi5,100 km² matching 80% or better

    For example Coatepec (90), Xalapa de Enríquez (88)

  9. 9

    🇵🇪Amazonas, Peru

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

    For example La Peca (74), Chachapoyas (53)

  10. 10

    🇲🇬Atsinanana, Madagascar

    1,400 sq mi3,700 km² matching 80% or better

    For example Marolambo (67), Vohibinany (64)

  11. 11

    🇻🇳Lai Châu Province, Vietnam

    1,400 sq mi3,600 km² matching 80% or better

    For example Lai Châu (81)

  12. 12

    🇨🇳Yunnan, China

    1,400 sq mi3,600 km² matching 80% or better

    For example Mengzi (75), Wenshan City (72)

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

    🇧🇷Santa Maria de JetibáEspírito Santo, Brazil

    Zone 11a · No frost · 1 chill hours · 48 in rainZone 11a · No frost · 1 chill hours · 1,215 mm rain

    Shares 23 of your 23 great-fit crops

    99%match
  2. 2

    🇧🇷LajinhaMinas Gerais, Brazil

    Zone 11a · No frost · 4 chill hours · 45 in rainZone 11a · No frost · 4 chill hours · 1,154 mm rain

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

    99%match
  3. 3

    🇧🇷PiraíRio de Janeiro, Brazil

    Zone 11a · No frost · 2 chill hours · 53 in rainZone 11a · No frost · 2 chill hours · 1,337 mm rain

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

    99%match
  4. 4

    🇧🇷Barra do PiraíRio de Janeiro, Brazil

    Zone 11a · No frost · 1 chill hours · 53 in rainZone 11a · No frost · 1 chill hours · 1,353 mm rain

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

    98%match
  5. 5

    🇧🇷Bom JardimRio de Janeiro, Brazil

    Zone 10b · No frost · 19 chill hours · 50 in rainZone 10b · No frost · 19 chill hours · 1,277 mm rain

    Shares 21 of your 23 great-fit crops

    96%match
  6. 6

    🇧🇷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 23 of your 23 great-fit crops

    95%match
  7. 7

    🇧🇷ManhuaçuMinas Gerais, Brazil

    Zone 10b · No frost · 41 chill hours · 46 in rainZone 10b · No frost · 41 chill hours · 1,178 mm rain

    Shares 21 of your 23 great-fit crops

    95%match
  8. 8

    🇧🇷ItapetiningaSão Paulo, Brazil

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

    Shares 22 of your 23 great-fit crops

    95%match
  9. 9

    🇧🇷SorocabaSão Paulo, Brazil

    Zone 11a · No frost · 2 chill hours · 47 in rainZone 11a · No frost · 2 chill hours · 1,196 mm rain

    Shares 23 of your 23 great-fit crops

    94%match
  10. 10

    🇧🇷CaratingaMinas Gerais, Brazil

    Zone 11a · No frost · 8 chill hours · 45 in rainZone 11a · No frost · 8 chill hours · 1,136 mm rain

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

    94%match
  11. 11

    🇧🇷Três RiosRio de Janeiro, Brazil

    Zone 11a · No frost · 0 chill hours · 56 in rainZone 11a · No frost · 0 chill hours · 1,417 mm rain

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

    94%match
  12. 12

    🇧🇷ItaquaquecetubaSão Paulo, Brazil

    Zone 11a · No frost · 7 chill hours · 55 in rainZone 11a · No frost · 7 chill hours · 1,402 mm rain

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

    94%match
  13. 13

    🇧🇷CarangolaMinas Gerais, Brazil

    Zone 11a · No frost · 4 chill hours · 46 in rainZone 11a · No frost · 4 chill hours · 1,165 mm rain

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

    94%match
  14. 14

    🇧🇷Pilar do SulSão Paulo, Brazil

    Zone 10b · No frost · 22 chill hours · 49 in rainZone 10b · No frost · 22 chill hours · 1,237 mm rain

    Shares 20 of your 23 great-fit crops

    94%match
  15. 15

    🇧🇷Barra da EstivaBahia, Brazil

    Zone 11a · No frost · 0 chill hours · 32 in rainZone 11a · No frost · 0 chill hours · 819 mm rain

    Shares 17 of your 23 great-fit crops · Also great there: table and raisin grapes

    94%match
  16. 16

    🇧🇷São PauloBrazil

    Zone 11a · No frost · 1 chill hours · 54 in rainZone 11a · No frost · 1 chill hours · 1,380 mm rain

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

    94%match
  17. 17

    🇧🇷JundiaíSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 50 in rainZone 11a · No frost · 0 chill hours · 1,259 mm rain

    Shares 23 of your 23 great-fit crops

    93%match
  18. 18

    🇧🇷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 23 great-fit crops

    93%match
  19. 19

    🇧🇷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 17 of your 23 great-fit crops · Also great there: tea

    93%match
  20. 20

    🇧🇷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 23 great-fit crops

    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 Vargem Alta: 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.