Climatch

Land with a climate like Sacramento, Brazil

🇧🇷Sacramento, Minas Gerais, Brazil

The towns with the closest growing climate to Sacramento, Brazil are Carmo do Paranaíba, Brazil (99% match), Franca and Batatais. About 487,000 sq mi of land in 18 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Goiás, Brazil.The towns with the closest growing climate to Sacramento, Brazil are Carmo do Paranaíba, Brazil (99% match), Franca and Batatais. About 1.3 million km² of land in 18 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Goiás, Brazil.

Your growing climate

Zone 11b · No frost · 0 chill hours · 65 in rainZone 11b · No frost · 0 chill hours · 1,644 mm rain

What grows in Sacramento, Brazil →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    146k sq mi378k km² matching 80% or better

    For example Cássia (99), Carmo do Paranaíba (99)

  2. 2

    🇧🇷São Paulo, Brazil

    64k sq mi167k km² matching 80% or better

    For example Altinópolis (99), Franca (99)

  3. 3

    🇧🇷Goiás, Brazil

    64k sq mi166k km² matching 80% or better

    For example Mineiros (98), Catalão (97)

  4. 4

    🇲🇲Shan State, Myanmar

    9,700 sq mi25k km² matching 80% or better

    For example Panglong (80), Taunggyi (78)

  5. 5

    🇨🇳Yunnan, China

    8,000 sq mi21k km² matching 80% or better

    For example Taiping (82), Nongzhang (81)

  6. 6

    🇻🇳Điện Biên Province, Vietnam

    6,700 sq mi17k km² matching 80% or better

    For example Mường Lay (70), Dien Bien Phu (67)

  7. 7

    🇨🇩Tanganyika, Democratic Republic of the Congo

    6,000 sq mi15k km² matching 80% or better

    For example Kalima (73), Kalemie (67)

  8. 8

    🇱🇦Xiangkhoang, Laos

    5,100 sq mi13k km² matching 80% or better

    For example Muang Phônsavan (93)

  9. 9

    🇱🇦Oudômxai, Laos

    3,900 sq mi10k km² matching 80% or better

    For example Muang Xay (79)

  10. 10

    🇱🇦Luang Prabang Province, Laos

    3,100 sq mi8,000 km² matching 80% or better

    For example Luang Prabang (51)

  11. 11

    🇮🇳Mizoram, India

    2,500 sq mi6,400 km² matching 80% or better

    For example Aizawl (86), Serchhīp (82)

  12. 12

    🇹🇿Kigoma, Tanzania

    2,400 sq mi6,200 km² matching 80% or better

    For example Kibondo (78), Kasulu (69)

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

    🇧🇷Carmo do ParanaíbaMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 59 in rainZone 11a · No frost · 0 chill hours · 1,506 mm rain

    Shares 23 of your 23 great-fit crops

    99%match
  2. 2

    🇧🇷FrancaSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 65 in rainZone 11b · No frost · 0 chill hours · 1,654 mm rain

    Shares 23 of your 23 great-fit crops

    99%match
  3. 3

    🇧🇷BatataisSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 61 in rainZone 11a · No frost · 0 chill hours · 1,557 mm rain

    Shares 23 of your 23 great-fit crops

    99%match
  4. 4

    🇧🇷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 23 of your 23 great-fit crops

    99%match
  5. 5

    🇧🇷IbiáMinas Gerais, Brazil

    Zone 11a · No frost · 2 chill hours · 62 in rainZone 11a · No frost · 2 chill hours · 1,564 mm rain

    Shares 23 of your 23 great-fit crops

    99%match
  6. 6

    🇧🇷PatrocínioMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 64 in rainZone 11b · No frost · 0 chill hours · 1,622 mm rain

    Shares 23 of your 23 great-fit crops

    99%match
  7. 7

    🇧🇷PassosMinas Gerais, Brazil

    Zone 11a · No frost · 7 chill hours · 63 in rainZone 11a · No frost · 7 chill hours · 1,600 mm rain

    Shares 23 of your 23 great-fit crops

    99%match
  8. 8

    🇧🇷CajuruSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 58 in rainZone 11a · No frost · 0 chill hours · 1,469 mm rain

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

    99%match
  9. 9

    🇧🇷Patos de MinasMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 57 in rainZone 11b · No frost · 0 chill hours · 1,443 mm rain

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

    99%match
  10. 10

    🇧🇷TupaciguaraMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 61 in rainZone 11b · No frost · 0 chill hours · 1,547 mm rain

    Shares 21 of your 23 great-fit crops

    99%match
  11. 11

    🇧🇷São GotardoMinas Gerais, Brazil

    Zone 11a · No frost · 8 chill hours · 61 in rainZone 11a · No frost · 8 chill hours · 1,557 mm rain

    Shares 22 of your 23 great-fit crops

    98%match
  12. 12

    🇧🇷MineirosGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 64 in rainZone 11b · No frost · 0 chill hours · 1,616 mm rain

    Shares 23 of your 23 great-fit crops

    98%match
  13. 13

    🇧🇷Belo HorizonteMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 56 in rainZone 11a · No frost · 0 chill hours · 1,428 mm rain

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

    98%match
  14. 14

    🇧🇷MococaSão Paulo, Brazil

    Zone 11a · No frost · 2 chill hours · 54 in rainZone 11a · No frost · 2 chill hours · 1,371 mm rain

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

    98%match
  15. 15

    🇧🇷CravinhosSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 57 in rainZone 11a · No frost · 0 chill hours · 1,441 mm rain

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

    98%match
  16. 16

    🇧🇷CoromandelMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 63 in rainZone 11b · No frost · 0 chill hours · 1,591 mm rain

    Shares 21 of your 23 great-fit crops

    97%match
  17. 17

    🇧🇷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 22 of your 23 great-fit crops

    97%match
  18. 18

    🇧🇷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 23 great-fit crops

    97%match
  19. 19

    🇧🇷CatalãoGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 57 in rainZone 11b · No frost · 0 chill hours · 1,457 mm rain

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

    97%match
  20. 20

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

    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 Sacramento, Brazil: 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.