Climatch

Land with a climate like Mauá

🇧🇷Mauá, São Paulo, Brazil

The towns with the closest growing climate to Mauá are Ibiúna, Brazil (99% match), Paraibuna and Petrópolis. About 179,000 sq mi of land in 12 countries matches 80% or better, most of it in Paraná, Brazil, São Paulo, Brazil and Santa Catarina, Brazil.The towns with the closest growing climate to Mauá are Ibiúna, Brazil (99% match), Paraibuna and Petrópolis. About 464,000 km² of land in 12 countries matches 80% or better, most of it in Paraná, Brazil, São Paulo, Brazil and Santa Catarina, Brazil.

Your growing climate

Zone 11a · No frost · 10 chill hours · 64 in rainZone 11a · No frost · 10 chill hours · 1,633 mm rain

What grows in Mauá →

Regions with the most land like yours

  1. 1

    🇧🇷Paraná, Brazil

    53k sq mi137k km² matching 80% or better

    For example Quatro Barras (96), Campina Grande do Sul (96)

  2. 2

    🇧🇷São Paulo, Brazil

    32k sq mi82k km² matching 80% or better

    For example Piedade (99), Ibiúna (99)

  3. 3

    🇧🇷Santa Catarina, Brazil

    23k sq mi59k km² matching 80% or better

    For example São José (93), Urussanga (93)

  4. 4

    🇨🇳Yunnan, China

    2,200 sq mi5,700 km² matching 80% or better

    For example Wenshan City (76), Kaihua (76)

  5. 5

    🇵🇬Eastern Highlands Province, Papua New Guinea

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

    For example Goroka (78)

  6. 6

    🇲🇬Alaotra Mangoro, Madagascar

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

    For example Moramanga (76), Didy (67)

  7. 7

    🇨🇩North Kivu, Democratic Republic of the Congo

    1,200 sq mi3,100 km² matching 80% or better

    For example Katwa (77), Butembo (77)

  8. 8

    🇵🇪Amazonas, Peru

    1,200 sq mi3,100 km² matching 80% or better

    For example Chachapoyas (66), La Peca (54)

  9. 9

    🇵🇪San Martín Department, Peru

    1,200 sq mi3,100 km² matching 80% or better

  10. 10

    🇻🇳Lai Châu Province, Vietnam

    1,100 sq mi2,900 km² matching 80% or better

    For example Lai Châu (75)

  11. 11

    🇹🇼Taiwan

    1,100 sq mi2,800 km² matching 80% or better

    For example Lugu (72), Puli (65)

  12. 12

    🇨🇩South Kivu, Democratic Republic of the Congo

    900 sq mi2,300 km² matching 80% or better

    For example Kabare (79), Bukavu (67)

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

    🇧🇷IbiúnaSão Paulo, Brazil

    Zone 10b · No frost · 35 chill hours · 55 in rainZone 10b · No frost · 35 chill hours · 1,385 mm rain

    Shares 18 of your 19 great-fit crops · Also great there: fig

    99%match
  2. 2

    🇧🇷ParaibunaSão Paulo, Brazil

    Zone 11a · No frost · 15 chill hours · 53 in rainZone 11a · No frost · 15 chill hours · 1,340 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: fig

    99%match
  3. 3

    🇧🇷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 18 of your 19 great-fit crops

    99%match
  4. 4

    🇧🇷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 18 of your 19 great-fit crops · Also great there: fig, wine grapes

    97%match
  5. 5

    🇧🇷ApiaíSão Paulo, Brazil

    Zone 10b · No frost · 108 chill hours · 56 in rainZone 10b · No frost · 108 chill hours · 1,417 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: apple, blueberry, peach

    97%match
  6. 6

    🇧🇷Bragança PaulistaSão Paulo, Brazil

    Zone 10b · No frost · 29 chill hours · 51 in rainZone 10b · No frost · 29 chill hours · 1,305 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: fig

    96%match
  7. 7

    🇧🇷Araçoiaba da SerraSão Paulo, Brazil

    Zone 11a · No frost · 7 chill hours · 44 in rainZone 11a · No frost · 7 chill hours · 1,120 mm rain

    Shares 18 of your 19 great-fit crops · Also great there: fig, wine grapes, sugarcane

    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 18 of your 19 great-fit crops · Also great there: fig, wine grapes, sugarcane

    95%match
  9. 9

    🇧🇷ColomboParaná, Brazil

    Zone 10b · No frost · 95 chill hours · 67 in rainZone 10b · No frost · 95 chill hours · 1,692 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: apple, blueberry, peach

    95%match
  10. 10

    🇧🇷ItapevaSão Paulo, Brazil

    Zone 10b · No frost · 59 chill hours · 48 in rainZone 10b · No frost · 59 chill hours · 1,223 mm rain

    Shares 18 of your 19 great-fit crops · Also great there: fig, wine grapes

    95%match
  11. 11

    🇧🇷CuritibaParaná, Brazil

    Zone 10b · No frost · 68 chill hours · 62 in rainZone 10b · No frost · 68 chill hours · 1,575 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: peach, apple

    95%match
  12. 12

    🇧🇷CunhaSão Paulo, Brazil

    Zone 10b · No frost · 107 chill hours · 56 in rainZone 10b · No frost · 107 chill hours · 1,425 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: fig

    94%match
  13. 13

    🇧🇷Marechal FlorianoEspírito Santo, Brazil

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

    Shares 18 of your 19 great-fit crops · Also great there: fig, banana, sugarcane

    94%match
  14. 14

    🇧🇷São JoséSanta Catarina, Brazil

    Zone 10b · No frost · 23 chill hours · 60 in rainZone 10b · No frost · 23 chill hours · 1,532 mm rain

    Shares 19 of your 19 great-fit crops

    93%match
  15. 15

    🇧🇷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 18 of your 19 great-fit crops · Also great there: fig, banana, sugarcane

    93%match
  16. 16

    🇧🇷Nova FriburgoRio de Janeiro, Brazil

    Zone 10b · No frost · 82 chill hours · 53 in rainZone 10b · No frost · 82 chill hours · 1,358 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: fig

    93%match
  17. 17

    🇧🇷São José do Vale do Rio PretoRio de Janeiro, Brazil

    Zone 11a · No frost · 9 chill hours · 58 in rainZone 11a · No frost · 9 chill hours · 1,462 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: banana, sugarcane, fig

    93%match
  18. 18

    🇧🇷ApucaranaParaná, Brazil

    Zone 10b · No frost · 61 chill hours · 57 in rainZone 10b · No frost · 61 chill hours · 1,459 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: fig

    93%match
  19. 19

    🇧🇷Ponta GrossaParaná, Brazil

    Zone 10b · Frost 1 years in 10 · 136 chill hours · 57 in rainZone 10b · Frost 1 years in 10 · 136 chill hours · 1,454 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: apple, peach, blueberry

    92%match
  20. 20

    🇧🇷JaguariaívaParaná, Brazil

    Zone 10a · Frost 1 years in 10 · 164 chill hours · 53 in rainZone 10a · Frost 1 years in 10 · 164 chill hours · 1,344 mm rain

    Shares 18 of your 19 great-fit crops · Also great there: fig

    92%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 Mauá: 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.