Climatch

Land with a climate like Pancas

🇧🇷Pancas, Espírito Santo, Brazil

The towns with the closest growing climate to Pancas are Mimoso do Sul, Brazil (99% match), Conceição de Macabu and Mutum. About 423,000 sq mi of land in 21 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, São Paulo, Brazil and Bahia, Brazil.The towns with the closest growing climate to Pancas are Mimoso do Sul, Brazil (99% match), Conceição de Macabu and Mutum. About 1.1 million km² of land in 21 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, São Paulo, Brazil and Bahia, Brazil.

Your growing climate

Zone 11b · No frost · 0 chill hours · 42 in rainZone 11b · No frost · 0 chill hours · 1,057 mm rain

What grows in Pancas →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso do Sul, Brazil

    79k sq mi204k km² matching 80% or better

    For example Nova Andradina (91), Bataguassu (90)

  2. 2

    🇧🇷São Paulo, Brazil

    65k sq mi168k km² matching 80% or better

    For example Rosana (93), Tremembé (93)

  3. 3

    🇧🇷Bahia, Brazil

    48k sq mi125k km² matching 80% or better

    For example Macarani (98), Itambé (98)

  4. 4

    🇲🇿Inhambane Province, Mozambique

    7,200 sq mi19k km² matching 80% or better

    For example Massinga (87), Inhambane (82)

  5. 5

    🇿🇦KwaZulu-Natal, South Africa

    6,800 sq mi18k km² matching 80% or better

    For example Empangeni (88), Mtubatuba (88)

  6. 6

    🇹🇿Tanga, Tanzania

    5,700 sq mi15k km² matching 80% or better

    For example Handeni (88), Chanika (88)

  7. 7

    🇧🇴Santa Cruz Department, Bolivia

    4,900 sq mi13k km² matching 80% or better

    For example El Torno (82), Warnes (77)

  8. 8

    🇵🇾Concepción, Paraguay

    4,400 sq mi11k km² matching 80% or better

    For example Yby Yaú (82), Concepción (73)

  9. 9

    🇲🇿Gaza Province, Mozambique

    4,300 sq mi11k km² matching 80% or better

    For example Macia (91), Xai-Xai (90)

  10. 10

    🇲🇽Veracruz, Mexico

    4,200 sq mi11k km² matching 80% or better

    For example Córdoba (84), Coatzintla (82)

  11. 11

    🇱🇦Luang Prabang Province, Laos

    3,400 sq mi8,700 km² matching 80% or better

    For example Luang Prabang (75)

  12. 12

    🇲🇿Maputo Province, Mozambique

    3,200 sq mi8,400 km² matching 80% or better

    For example Manhiça (90), Matola (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

    🇧🇷Mimoso do SulEspírito Santo, Brazil

    Zone 11b · No frost · 0 chill hours · 40 in rainZone 11b · No frost · 0 chill hours · 1,025 mm rain

    Shares 20 of your 20 great-fit crops

    99%match
  2. 2

    🇧🇷Conceição de MacabuRio de Janeiro, Brazil

    Zone 11b · No frost · 0 chill hours · 45 in rainZone 11b · No frost · 0 chill hours · 1,153 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: coffee (arabica)

    99%match
  3. 3

    🇧🇷MutumMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 42 in rainZone 11b · No frost · 0 chill hours · 1,061 mm rain

    Shares 20 of your 20 great-fit crops

    99%match
  4. 4

    🇧🇷Cachoeiro de ItapemirimEspírito Santo, Brazil

    Zone 11b · No frost · 0 chill hours · 42 in rainZone 11b · No frost · 0 chill hours · 1,057 mm rain

    Shares 20 of your 20 great-fit crops

    99%match
  5. 5

    🇧🇷EcoporangaEspírito Santo, Brazil

    Zone 12a · No frost · 0 chill hours · 40 in rainZone 12a · No frost · 0 chill hours · 1,013 mm rain

    Shares 19 of your 20 great-fit crops

    99%match
  6. 6

    🇧🇷São FidélisRio de Janeiro, Brazil

    Zone 11b · No frost · 0 chill hours · 39 in rainZone 11b · No frost · 0 chill hours · 1,001 mm rain

    Shares 19 of your 20 great-fit crops

    99%match
  7. 7

    🇧🇷Teófilo OtoniMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 38 in rainZone 11b · No frost · 0 chill hours · 962 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: table and raisin grapes

    99%match
  8. 8

    🇧🇷ItaperunaRio de Janeiro, Brazil

    Zone 11b · No frost · 0 chill hours · 43 in rainZone 11b · No frost · 0 chill hours · 1,086 mm rain

    Shares 20 of your 20 great-fit crops

    99%match
  9. 9

    🇧🇷Afonso CláudioEspírito Santo, Brazil

    Zone 11a · No frost · 0 chill hours · 44 in rainZone 11a · No frost · 0 chill hours · 1,115 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: potato, coffee (arabica), banana

    99%match
  10. 10

    🇧🇷QuissamãRio de Janeiro, Brazil

    Zone 12a · No frost · 0 chill hours · 42 in rainZone 12a · No frost · 0 chill hours · 1,071 mm rain

    Shares 20 of your 20 great-fit crops

    99%match
  11. 11

    🇧🇷MacaraniBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 791 mm rain

    Shares 16 of your 20 great-fit crops · Also great there: table and raisin grapes

    98%match
  12. 12

    🇧🇷Rio das OstrasRio de Janeiro, Brazil

    Zone 12a · No frost · 0 chill hours · 48 in rainZone 12a · No frost · 0 chill hours · 1,209 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: banana, coffee (arabica)

    98%match
  13. 13

    🇧🇷PinheirosEspírito Santo, Brazil

    Zone 12a · No frost · 0 chill hours · 43 in rainZone 12a · No frost · 0 chill hours · 1,089 mm rain

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

    98%match
  14. 14

    🇧🇷CariacicaEspírito Santo, Brazil

    Zone 12a · No frost · 0 chill hours · 46 in rainZone 12a · No frost · 0 chill hours · 1,171 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: banana, coffee (arabica)

    98%match
  15. 15

    🇧🇷Santo Antônio de PáduaRio de Janeiro, Brazil

    Zone 11a · No frost · 0 chill hours · 45 in rainZone 11a · No frost · 0 chill hours · 1,145 mm rain

    Shares 20 of your 20 great-fit crops

    98%match
  16. 16

    🇧🇷JaguaréEspírito Santo, Brazil

    Zone 12a · No frost · 0 chill hours · 44 in rainZone 12a · No frost · 0 chill hours · 1,113 mm rain

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

    98%match
  17. 17

    🇧🇷MagéRio de Janeiro, Brazil

    Zone 11b · No frost · 0 chill hours · 51 in rainZone 11b · No frost · 0 chill hours · 1,296 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: banana, coffee (arabica)

    98%match
  18. 18

    🇧🇷ItambéBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 30 in rainZone 12a · No frost · 0 chill hours · 755 mm rain

    Shares 18 of your 20 great-fit crops · Also great there: table and raisin grapes

    98%match
  19. 19

    🇧🇷ItaguaíRio de Janeiro, Brazil

    Zone 11b · No frost · 0 chill hours · 51 in rainZone 11b · No frost · 0 chill hours · 1,303 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: banana, cacao, tea

    98%match
  20. 20

    🇧🇷SerraEspírito Santo, Brazil

    Zone 12a · No frost · 0 chill hours · 47 in rainZone 12a · No frost · 0 chill hours · 1,204 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: banana, coffee (arabica), 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 Pancas: 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.