Climatch

Land with a climate like Garça

🇧🇷Garça, São Paulo, Brazil

The towns with the closest growing climate to Garça are Piraju, Brazil (99% match), Lençóis Paulista and Assis. About 483,000 sq mi of land in 19 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Mato Grosso do Sul, Brazil.The towns with the closest growing climate to Garça are Piraju, Brazil (99% match), Lençóis Paulista and Assis. About 1.2 million km² of land in 19 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Mato Grosso do Sul, Brazil.

Your growing climate

Zone 11a · No frost · 4 chill hours · 49 in rainZone 11a · No frost · 4 chill hours · 1,256 mm rain

What grows in Garça →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    104k sq mi270k km² matching 80% or better

    For example Pouso Alegre (98), Jacutinga (98)

  2. 2

    🇧🇷São Paulo, Brazil

    84k sq mi218k km² matching 80% or better

    For example Cerqueira César (99), São Manuel (99)

  3. 3

    🇧🇷Mato Grosso do Sul, Brazil

    60k sq mi155k km² matching 80% or better

    For example Nova Andradina (90), Chapadão do Sul (88)

  4. 4

    🇨🇳Yunnan, China

    24k sq mi62k km² matching 80% or better

    For example Mengman (89), Pu'er (87)

  5. 5

    🇿🇦KwaZulu-Natal, South Africa

    9,200 sq mi24k km² matching 80% or better

    For example Mandeni (88), KwaDukuza (87)

  6. 6

    🇻🇳Điện Biên Province, Vietnam

    7,000 sq mi18k km² matching 80% or better

    For example Mường Lay (72), Dien Bien Phu (66)

  7. 7

    🇲🇲Shan State, Myanmar

    6,100 sq mi16k km² matching 80% or better

    For example Kēng Tung (81), Namhkam (79)

  8. 8

    🇲🇿Zambezia Province, Mozambique

    5,200 sq mi13k km² matching 80% or better

    For example Milange (87), Gurúè (80)

  9. 9

    🇱🇦Xiangkhoang, Laos

    4,200 sq mi11k km² matching 80% or better

    For example Muang Phônsavan (81)

  10. 10

    🇱🇦Oudômxai, Laos

    4,200 sq mi11k km² matching 80% or better

    For example Muang Xay (80)

  11. 11

    🇦🇷Chaco, Argentina

    4,000 sq mi10k km² matching 80% or better

    For example Resistencia (78), General José de San Martín (77)

  12. 12

    🇻🇳Sơn La Province, Vietnam

    3,300 sq mi8,700 km² matching 80% or better

    For example Chiềng Cơi (84), Thị Trấn Thuận Châu (84)

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

    🇧🇷PirajuSão Paulo, Brazil

    Zone 11a · No frost · 4 chill hours · 49 in rainZone 11a · No frost · 4 chill hours · 1,245 mm rain

    Shares 22 of your 23 great-fit crops

    99%match
  2. 2

    🇧🇷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 23 of your 23 great-fit crops

    99%match
  3. 3

    🇧🇷AssisSão Paulo, Brazil

    Zone 11a · No frost · 2 chill hours · 47 in rainZone 11a · No frost · 2 chill hours · 1,192 mm rain

    Shares 22 of your 23 great-fit crops

    99%match
  4. 4

    🇧🇷AvaréSão Paulo, Brazil

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

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

    99%match
  5. 5

    🇧🇷TupãSão Paulo, Brazil

    Zone 11a · No frost · 1 chill hours · 50 in rainZone 11a · No frost · 1 chill hours · 1,267 mm rain

    Shares 23 of your 23 great-fit crops

    99%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 22 of your 23 great-fit crops

    99%match
  7. 7

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

    99%match
  8. 8

    🇧🇷AngatubaSão Paulo, Brazil

    Zone 11a · No frost · 5 chill hours · 47 in rainZone 11a · No frost · 5 chill hours · 1,187 mm rain

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

    99%match
  9. 9

    🇧🇷TaquaritubaSão Paulo, Brazil

    Zone 11a · No frost · 7 chill hours · 47 in rainZone 11a · No frost · 7 chill hours · 1,202 mm rain

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

    99%match
  10. 10

    🇧🇷CampinasSão Paulo, Brazil

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

    Shares 23 of your 23 great-fit crops

    99%match
  11. 11

    🇧🇷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 22 of your 23 great-fit crops

    99%match
  12. 12

    🇧🇷OurinhosSão Paulo, Brazil

    Zone 11a · No frost · 4 chill hours · 50 in rainZone 11a · No frost · 4 chill hours · 1,275 mm rain

    Shares 23 of your 23 great-fit crops

    99%match
  13. 13

    🇧🇷SocorroSão Paulo, Brazil

    Zone 11a · No frost · 17 chill hours · 52 in rainZone 11a · No frost · 17 chill hours · 1,333 mm rain

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

    99%match
  14. 14

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

    98%match
  15. 15

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

    98%match
  16. 16

    🇧🇷Cornélio ProcópioParaná, Brazil

    Zone 11a · No frost · 4 chill hours · 49 in rainZone 11a · No frost · 4 chill hours · 1,245 mm rain

    Shares 22 of your 23 great-fit crops

    98%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 22 of your 23 great-fit crops

    98%match
  18. 18

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

    98%match
  19. 19

    🇧🇷Siqueira CamposParaná, Brazil

    Zone 11a · No frost · 10 chill hours · 47 in rainZone 11a · No frost · 10 chill hours · 1,194 mm rain

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

    97%match
  20. 20

    🇧🇷Barra MansaRio de Janeiro, Brazil

    Zone 11a · No frost · 1 chill hours · 54 in rainZone 11a · No frost · 1 chill hours · 1,374 mm rain

    Shares 23 of your 23 great-fit crops

    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 Garça: 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.