Climatch

Land with a climate like Junqueirópolis

🇧🇷Junqueirópolis, São Paulo, Brazil

The towns with the closest growing climate to Junqueirópolis are Araçatuba, Brazil (99% match), Pirapozinho and Penápolis. About 760,000 sq mi of land in 22 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, São Paulo, Brazil and Minas Gerais, Brazil.The towns with the closest growing climate to Junqueirópolis are Araçatuba, Brazil (99% match), Pirapozinho and Penápolis. About 2.0 million km² of land in 22 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, São Paulo, Brazil and Minas Gerais, Brazil.

Your growing climate

Zone 11b · No frost · 0 chill hours · 47 in rainZone 11b · No frost · 0 chill hours · 1,187 mm rain

What grows in Junqueirópolis →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso do Sul, Brazil

    103k sq mi267k km² matching 80% or better

    For example Bataguassu (99), Três Lagoas (99)

  2. 2

    🇧🇷São Paulo, Brazil

    76k sq mi197k km² matching 80% or better

    For example Martinópolis (99), Regente Feijó (99)

  3. 3

    🇧🇷Minas Gerais, Brazil

    74k sq mi191k km² matching 80% or better

    For example Iturama (94), Teófilo Otoni (93)

  4. 4

    🇧🇴Santa Cruz Department, Bolivia

    27k sq mi70k km² matching 80% or better

    For example El Torno (97), Warnes (92)

  5. 5

    🇲🇿Zambezia Province, Mozambique

    11k sq mi30k km² matching 80% or better

    For example Gurúè (83), Milange (83)

  6. 6

    🇵🇾Concepción, Paraguay

    11k sq mi28k km² matching 80% or better

    For example Yby Yaú (92), Concepción (88)

  7. 7

    🇦🇷Formosa, Argentina

    8,900 sq mi23k km² matching 80% or better

    For example Formosa (85), Pirané (82)

  8. 8

    🇨🇳Yunnan, China

    7,500 sq mi19k km² matching 80% or better

    For example Mengla (93), Yunjinghong (91)

  9. 9

    🇺🇸Florida, United States

    7,200 sq mi19k km² matching 80% or better

    For example Immokalee (84), Belle Glade (82)

  10. 10

    🇲🇿Inhambane Province, Mozambique

    7,100 sq mi18k km² matching 80% or better

    For example Massinga (86), Maxixe (80)

  11. 11

    🇲🇿Gaza Province, Mozambique

    7,100 sq mi18k km² matching 80% or better

    For example Macia (93), Xai-Xai (90)

  12. 12

    🇦🇷Chaco, Argentina

    7,000 sq mi18k km² matching 80% or better

    For example General José de San Martín (80), Juan José Castelli (79)

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

    🇧🇷AraçatubaSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 48 in rainZone 11a · No frost · 0 chill hours · 1,213 mm rain

    Shares 21 of your 22 great-fit crops

    99%match
  2. 2

    🇧🇷PirapozinhoSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 46 in rainZone 11b · No frost · 0 chill hours · 1,178 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  3. 3

    🇧🇷PenápolisSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 48 in rainZone 11a · No frost · 0 chill hours · 1,219 mm rain

    Shares 21 of your 22 great-fit crops

    99%match
  4. 4

    🇧🇷Presidente EpitácioSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 45 in rainZone 11b · No frost · 0 chill hours · 1,151 mm rain

    Shares 21 of your 22 great-fit crops

    99%match
  5. 5

    🇧🇷Teodoro SampaioSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 45 in rainZone 11a · No frost · 0 chill hours · 1,138 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  6. 6

    🇧🇷LinsSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 48 in rainZone 11a · No frost · 0 chill hours · 1,224 mm rain

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

    99%match
  7. 7

    🇧🇷Paraguaçu PaulistaSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 48 in rainZone 11a · No frost · 0 chill hours · 1,221 mm rain

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

    99%match
  8. 8

    🇧🇷TupãSão Paulo, Brazil

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

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

    99%match
  9. 9

    🇧🇷IbitingaSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 47 in rainZone 11a · No frost · 0 chill hours · 1,198 mm rain

    Shares 21 of your 22 great-fit crops

    99%match
  10. 10

    🇧🇷Ilha SolteiraSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 48 in rainZone 11b · No frost · 0 chill hours · 1,217 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  11. 11

    🇧🇷PirajuíSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 46 in rainZone 11a · No frost · 0 chill hours · 1,170 mm rain

    Shares 21 of your 22 great-fit crops · Also great there: potato

    99%match
  12. 12

    🇧🇷Novo HorizonteSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 48 in rainZone 11b · No frost · 0 chill hours · 1,209 mm rain

    Shares 20 of your 22 great-fit crops

    99%match
  13. 13

    🇧🇷BauruSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 45 in rainZone 11b · No frost · 0 chill hours · 1,143 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  14. 14

    🇧🇷Três LagoasMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 49 in rainZone 11b · No frost · 0 chill hours · 1,241 mm rain

    Shares 21 of your 22 great-fit crops

    99%match
  15. 15

    🇧🇷Nova AndradinaMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 52 in rainZone 11b · No frost · 0 chill hours · 1,314 mm rain

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

    99%match
  16. 16

    🇧🇷Santa Fé do SulSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 47 in rainZone 11b · No frost · 0 chill hours · 1,206 mm rain

    Shares 20 of your 22 great-fit crops

    99%match
  17. 17

    🇧🇷VotuporangaSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 49 in rainZone 11b · No frost · 0 chill hours · 1,232 mm rain

    Shares 20 of your 22 great-fit crops

    98%match
  18. 18

    🇧🇷Cândido MotaSão Paulo, Brazil

    Zone 11a · No frost · 1 chill hours · 46 in rainZone 11a · No frost · 1 chill hours · 1,166 mm rain

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

    98%match
  19. 19

    🇧🇷JalesSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 46 in rainZone 11b · No frost · 0 chill hours · 1,173 mm rain

    Shares 20 of your 22 great-fit crops

    98%match
  20. 20

    🇧🇷PompéiaSão Paulo, Brazil

    Zone 11a · No frost · 3 chill hours · 47 in rainZone 11a · No frost · 3 chill hours · 1,186 mm rain

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

    98%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 Junqueirópolis: 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.