Climatch

Land with a climate like Sítio Novo

🇧🇷Sítio Novo, Maranhão, Brazil

The towns with the closest growing climate to Sítio Novo are João Lisboa, Brazil (99% match), Açailândia and Estreito. About 693,000 sq mi of land in 21 countries matches 80% or better, most of it in Mato Grosso, Brazil, Pará, Brazil and Maranhão, Brazil.The towns with the closest growing climate to Sítio Novo are João Lisboa, Brazil (99% match), Açailândia and Estreito. About 1.8 million km² of land in 21 countries matches 80% or better, most of it in Mato Grosso, Brazil, Pará, Brazil and Maranhão, Brazil.

Your growing climate

Zone 12a · No frost · 0 chill hours · 46 in rainZone 12a · No frost · 0 chill hours · 1,159 mm rain

What grows in Sítio Novo →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso, Brazil

    107k sq mi276k km² matching 80% or better

    For example Santo Antônio do Leverger (89), Cuiabá (88)

  2. 2

    🇧🇷Pará, Brazil

    75k sq mi195k km² matching 80% or better

    For example Rondon do Pará (96), São Geraldo do Araguaia (96)

  3. 3

    🇧🇷Maranhão, Brazil

    71k sq mi185k km² matching 80% or better

    For example Governador Edison Lobão (99), João Lisboa (99)

  4. 4

    🇨🇲East, Cameroon

    11k sq mi28k km² matching 80% or better

    For example Batouri (85), Bertoua (83)

  5. 5

    🇻🇪Guárico, Venezuela

    9,700 sq mi25k km² matching 80% or better

    For example San Juan de los Morros (89), Valle de La Pascua (84)

  6. 6

    🇨🇫Haut-Mbomou, Central African Republic

    7,100 sq mi19k km² matching 80% or better

    For example Zemio (83)

  7. 7

    🇧🇴Santa Cruz Department, Bolivia

    6,300 sq mi16k km² matching 80% or better

    For example San Ignacio de Velasco (84), Ascención de Guarayos (75)

  8. 8

    🇸🇱Northern Province, Sierra Leone

    5,900 sq mi15k km² matching 80% or better

    For example Kabala (84), Mile 91 (79)

  9. 9

    🇨🇮Woroba, Ivory Coast

    5,600 sq mi15k km² matching 80% or better

    For example Séguéla (81), Touba (80)

  10. 10

    🇨🇫Mbomou, Central African Republic

    5,400 sq mi14k km² matching 80% or better

    For example Bangassou (84)

  11. 11

    🇻🇪Anzoátegui, Venezuela

    5,000 sq mi13k km² matching 80% or better

    For example Pariaguán (84), Cantaura (82)

  12. 12

    🇹🇭Lampang, Thailand

    4,800 sq mi13k km² matching 80% or better

    For example Lampang (84), Thoen (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

    🇧🇷João LisboaMaranhão, Brazil

    Zone 12b · No frost · 0 chill hours · 50 in rainZone 12b · No frost · 0 chill hours · 1,282 mm rain

    Shares 15 of your 16 great-fit crops

    99%match
  2. 2

    🇧🇷AçailândiaMaranhão, Brazil

    Zone 12b · No frost · 0 chill hours · 55 in rainZone 12b · No frost · 0 chill hours · 1,399 mm rain

    Shares 16 of your 16 great-fit crops

    99%match
  3. 3

    🇧🇷EstreitoMaranhão, Brazil

    Zone 12b · No frost · 0 chill hours · 56 in rainZone 12b · No frost · 0 chill hours · 1,419 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: banana, cacao

    99%match
  4. 4

    🇧🇷Formosa da Serra NegraMaranhão, Brazil

    Zone 12a · No frost · 0 chill hours · 45 in rainZone 12a · No frost · 0 chill hours · 1,132 mm rain

    Shares 16 of your 16 great-fit crops

    99%match
  5. 5

    🇧🇷Jenipapo dos VieirasMaranhão, Brazil

    Zone 12b · No frost · 0 chill hours · 40 in rainZone 12b · No frost · 0 chill hours · 1,023 mm rain

    Shares 16 of your 16 great-fit crops

    99%match
  6. 6

    🇧🇷ArameMaranhão, Brazil

    Zone 12b · No frost · 0 chill hours · 44 in rainZone 12b · No frost · 0 chill hours · 1,130 mm rain

    Shares 16 of your 16 great-fit crops

    99%match
  7. 7

    🇧🇷AraguatinsTocantins, Brazil

    Zone 13a · No frost · 0 chill hours · 56 in rainZone 13a · No frost · 0 chill hours · 1,424 mm rain

    Shares 14 of your 16 great-fit crops · Also great there: banana, cacao

    98%match
  8. 8

    🇧🇷Bom Jesus das SelvasMaranhão, Brazil

    Zone 12b · No frost · 0 chill hours · 53 in rainZone 12b · No frost · 0 chill hours · 1,346 mm rain

    Shares 16 of your 16 great-fit crops

    97%match
  9. 9

    🇧🇷Barra do CordaMaranhão, Brazil

    Zone 12b · No frost · 0 chill hours · 41 in rainZone 12b · No frost · 0 chill hours · 1,048 mm rain

    Shares 15 of your 16 great-fit crops

    97%match
  10. 10

    🇧🇷Rondon do ParáPará, Brazil

    Zone 13a · No frost · 0 chill hours · 61 in rainZone 13a · No frost · 0 chill hours · 1,542 mm rain

    Shares 15 of your 16 great-fit crops

    96%match
  11. 11

    🇧🇷RiachãoMaranhão, Brazil

    Zone 12b · No frost · 0 chill hours · 45 in rainZone 12b · No frost · 0 chill hours · 1,145 mm rain

    Shares 16 of your 16 great-fit crops

    96%match
  12. 12

    🇧🇷São Geraldo do AraguaiaPará, Brazil

    Zone 12b · No frost · 0 chill hours · 54 in rainZone 12b · No frost · 0 chill hours · 1,364 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: banana, cacao

    96%match
  13. 13

    🇧🇷AraguaínaTocantins, Brazil

    Zone 12b · No frost · 0 chill hours · 62 in rainZone 12b · No frost · 0 chill hours · 1,570 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: cacao, banana

    96%match
  14. 14

    🇧🇷BuriticupuMaranhão, Brazil

    Zone 12b · No frost · 0 chill hours · 54 in rainZone 12b · No frost · 0 chill hours · 1,372 mm rain

    Shares 16 of your 16 great-fit crops

    95%match
  15. 15

    🇧🇷Dom EliseuPará, Brazil

    Zone 13a · No frost · 0 chill hours · 61 in rainZone 13a · No frost · 0 chill hours · 1,562 mm rain

    Shares 15 of your 16 great-fit crops

    94%match
  16. 16

    🇧🇷Bom Jesus do TocantinsPará, Brazil

    Zone 13a · No frost · 0 chill hours · 63 in rainZone 13a · No frost · 0 chill hours · 1,590 mm rain

    Shares 13 of your 16 great-fit crops

    94%match
  17. 17

    🇧🇷CarolinaMaranhão, Brazil

    Zone 12b · No frost · 0 chill hours · 56 in rainZone 12b · No frost · 0 chill hours · 1,425 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: banana, cacao

    94%match
  18. 18

    🇧🇷MiradorMaranhão, Brazil

    Zone 12b · No frost · 0 chill hours · 47 in rainZone 12b · No frost · 0 chill hours · 1,203 mm rain

    Shares 15 of your 16 great-fit crops

    93%match
  19. 19

    🇧🇷São Domingos do AraguaiaPará, Brazil

    Zone 13a · No frost · 0 chill hours · 60 in rainZone 13a · No frost · 0 chill hours · 1,536 mm rain

    Shares 13 of your 16 great-fit crops · Also great there: cacao, banana

    93%match
  20. 20

    🇧🇷São João dos PatosMaranhão, Brazil

    Zone 12b · No frost · 0 chill hours · 42 in rainZone 12b · No frost · 0 chill hours · 1,078 mm rain

    Shares 16 of your 16 great-fit crops

    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 Sítio Novo: 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.