Climatch

Land with a climate like Itajubá

🇧🇷Itajubá, Minas Gerais, Brazil

The towns with the closest growing climate to Itajubá are Baependi, Brazil (99% match), Varginha and Lavras. About 290,000 sq mi of land in 17 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Yunnan, China.The towns with the closest growing climate to Itajubá are Baependi, Brazil (99% match), Varginha and Lavras. About 752,000 km² of land in 17 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Yunnan, China.

Your growing climate

Zone 10b · No frost · 87 chill hours · 57 in rainZone 10b · No frost · 87 chill hours · 1,449 mm rain

What grows in Itajubá →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    90k sq mi233k km² matching 80% or better

    For example Baependi (99), Borda da Mata (99)

  2. 2

    🇧🇷São Paulo, Brazil

    58k sq mi151k km² matching 80% or better

    For example Águas de Lindóia (99), Socorro (99)

  3. 3

    🇨🇳Yunnan, China

    34k sq mi89k km² matching 80% or better

    For example Mengzi (88), Kaiyuan (86)

  4. 4

    🇧🇷Paraná, Brazil

    14k sq mi36k km² matching 80% or better

    For example Wenceslau Braz (91), Sengés (91)

  5. 5

    🇲🇲Shan State, Myanmar

    5,200 sq mi14k km² matching 80% or better

    For example Panglong (80), Kutkai (80)

  6. 6

    🇮🇳Nagaland, India

    5,100 sq mi13k km² matching 80% or better

    For example Kohima (87), Mokokchūng (86)

  7. 7

    🇿🇦KwaZulu-Natal, South Africa

    4,400 sq mi12k km² matching 80% or better

    For example Mpumalanga (84), Eshowe (83)

  8. 8

    🇱🇦Xiangkhoang, Laos

    3,900 sq mi10k km² matching 80% or better

    For example Muang Phônsavan (82)

  9. 9

    🇻🇳Điện Biên Province, Vietnam

    3,600 sq mi9,400 km² matching 80% or better

    For example Mường Lay (54)

  10. 10

    🇧🇴Santa Cruz Department, Bolivia

    2,300 sq mi5,900 km² matching 80% or better

  11. 11

    🇱🇦Houaphan, Laos

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

    For example Xam Nua (80)

  12. 12

    🇻🇳Lai Châu Province, Vietnam

    1,900 sq mi5,000 km² matching 80% or better

    For example Lai Châu (85)

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

    🇧🇷BaependiMinas Gerais, Brazil

    Zone 10b · Frost 1 years in 10 · 126 chill hours · 56 in rainZone 10b · Frost 1 years in 10 · 126 chill hours · 1,427 mm rain

    Shares 21 of your 21 great-fit crops

    99%match
  2. 2

    🇧🇷VarginhaMinas Gerais, Brazil

    Zone 10b · No frost · 54 chill hours · 56 in rainZone 10b · No frost · 54 chill hours · 1,421 mm rain

    Shares 21 of your 21 great-fit crops

    99%match
  3. 3

    🇧🇷LavrasMinas Gerais, Brazil

    Zone 10b · No frost · 18 chill hours · 60 in rainZone 10b · No frost · 18 chill hours · 1,514 mm rain

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

    99%match
  4. 4

    🇧🇷AlfenasMinas Gerais, Brazil

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

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

    99%match
  5. 5

    🇧🇷Campo BeloMinas Gerais, Brazil

    Zone 10b · No frost · 24 chill hours · 58 in rainZone 10b · No frost · 24 chill hours · 1,481 mm rain

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

    99%match
  6. 6

    🇧🇷Carmo do Rio ClaroMinas Gerais, Brazil

    Zone 10b · No frost · 25 chill hours · 60 in rainZone 10b · No frost · 25 chill hours · 1,523 mm rain

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

    99%match
  7. 7

    🇧🇷CampestreMinas Gerais, Brazil

    Zone 10b · No frost · 42 chill hours · 63 in rainZone 10b · No frost · 42 chill hours · 1,602 mm rain

    Shares 19 of your 21 great-fit crops

    99%match
  8. 8

    🇧🇷BotucatuSão Paulo, Brazil

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

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

    99%match
  9. 9

    🇧🇷PiumhiMinas Gerais, Brazil

    Zone 10b · No frost · 34 chill hours · 59 in rainZone 10b · No frost · 34 chill hours · 1,501 mm rain

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

    99%match
  10. 10

    🇧🇷Água RasaMinas Gerais, Brazil

    Zone 10b · No frost · 41 chill hours · 57 in rainZone 10b · No frost · 41 chill hours · 1,448 mm rain

    Shares 21 of your 21 great-fit crops

    99%match
  11. 11

    🇧🇷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

    99%match
  12. 12

    🇧🇷MarianaMinas Gerais, Brazil

    Zone 10b · No frost · 28 chill hours · 54 in rainZone 10b · No frost · 28 chill hours · 1,381 mm rain

    Shares 20 of your 21 great-fit crops

    99%match
  13. 13

    🇧🇷OliveiraMinas Gerais, Brazil

    Zone 10b · No frost · 18 chill hours · 60 in rainZone 10b · No frost · 18 chill hours · 1,523 mm rain

    Shares 20 of your 21 great-fit crops

    99%match
  14. 14

    🇧🇷Conselheiro LafaieteMinas Gerais, Brazil

    Zone 11a · No frost · 14 chill hours · 54 in rainZone 11a · No frost · 14 chill hours · 1,366 mm rain

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

    98%match
  15. 15

    🇧🇷Dois CórregosSão Paulo, Brazil

    Zone 11a · No frost · 3 chill hours · 49 in rainZone 11a · No frost · 3 chill hours · 1,253 mm rain

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

    98%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 20 of your 21 great-fit crops · Also great there: banana, cassava, wine grapes

    98%match
  17. 17

    🇧🇷ViçosaMinas Gerais, Brazil

    Zone 10b · No frost · 32 chill hours · 47 in rainZone 10b · No frost · 32 chill hours · 1,201 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: wine grapes

    98%match
  18. 18

    🇧🇷São João del ReiMinas Gerais, Brazil

    Zone 11a · No frost · 12 chill hours · 56 in rainZone 11a · No frost · 12 chill hours · 1,425 mm rain

    Shares 21 of your 21 great-fit crops

    98%match
  19. 19

    🇧🇷Poços de CaldasMinas Gerais, Brazil

    Zone 10b · No frost · 73 chill hours · 64 in rainZone 10b · No frost · 73 chill hours · 1,637 mm rain

    Shares 17 of your 21 great-fit crops

    98%match
  20. 20

    🇧🇷São Sebastião do ParaísoMinas Gerais, Brazil

    Zone 11a · No frost · 5 chill hours · 61 in rainZone 11a · No frost · 5 chill hours · 1,559 mm rain

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

    97%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 Itajubá: 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.