Climatch

Land with a climate like Porto Franco

🇧🇷Porto Franco, Maranhão, Brazil

The towns with the closest growing climate to Porto Franco are Amarante do Maranhão, Brazil (99% match), Araguaína and Açailândia. About 1.1 million 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 Porto Franco are Amarante do Maranhão, Brazil (99% match), Araguaína and Açailândia. About 2.8 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 · 56 in rainZone 12a · No frost · 0 chill hours · 1,426 mm rain

What grows in Porto Franco →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso, Brazil

    159k sq mi411k km² matching 80% or better

    For example Aripuanã (92), Vila Bela da Santíssima Trindade (91)

  2. 2

    🇧🇷Pará, Brazil

    82k sq mi213k km² matching 80% or better

    For example São Geraldo do Araguaia (97), Floresta do Araguaia (97)

  3. 3

    🇧🇷Maranhão, Brazil

    66k sq mi172k km² matching 80% or better

    For example Sítio Novo (99), Amarante do Maranhão (99)

  4. 4

    🇨🇲East, Cameroon

    14k sq mi36k km² matching 80% or better

    For example Batouri (87), Bélabo (86)

  5. 5

    🇸🇱Northern Province, Sierra Leone

    8,900 sq mi23k km² matching 80% or better

    For example Kabala (90), Makeni (86)

  6. 6

    🇨🇮Woroba, Ivory Coast

    7,400 sq mi19k km² matching 80% or better

    For example Séguéla (84), Touba (83)

  7. 7

    🇨🇫Haut-Mbomou, Central African Republic

    7,100 sq mi19k km² matching 80% or better

    For example Zemio (86)

  8. 8

    🇨🇫Mbomou, Central African Republic

    6,300 sq mi16k km² matching 80% or better

    For example Bangassou (87)

  9. 9

    🇧🇴Santa Cruz Department, Bolivia

    6,000 sq mi16k km² matching 80% or better

    For example San Ignacio de Velasco (82), Ascención de Guarayos (75)

  10. 10

    🇸🇸Western Equatoria, South Sudan

    6,000 sq mi15k km² matching 80% or better

    For example Yambio (84)

  11. 11

    🇸🇱Eastern Province, Sierra Leone

    5,600 sq mi15k km² matching 80% or better

    For example Koidu (84), Segbwema (79)

  12. 12

    🇨🇲Centre, Cameroon

    5,400 sq mi14k km² matching 80% or better

    For example Nanga Eboko (83), Bafia (81)

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

    🇧🇷Amarante do MaranhãoMaranhão, Brazil

    Zone 12b · No frost · 0 chill hours · 46 in rainZone 12b · No frost · 0 chill hours · 1,177 mm rain

    Shares 16 of your 18 great-fit crops

    99%match
  2. 2

    🇧🇷AraguaínaTocantins, Brazil

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

    Shares 17 of your 18 great-fit crops

    99%match
  3. 3

    🇧🇷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 18 great-fit crops

    99%match
  4. 4

    🇧🇷AraguatinsTocantins, Brazil

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

    Shares 16 of your 18 great-fit crops

    99%match
  5. 5

    🇧🇷ImperatrizMaranhão, Brazil

    Zone 12b · No frost · 0 chill hours · 53 in rainZone 12b · No frost · 0 chill hours · 1,338 mm rain

    Shares 14 of your 18 great-fit crops

    98%match
  6. 6

    🇧🇷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 17 of your 18 great-fit crops

    97%match
  7. 7

    🇧🇷GrajaúMaranhão, Brazil

    Zone 12b · No frost · 0 chill hours · 43 in rainZone 12b · No frost · 0 chill hours · 1,097 mm rain

    Shares 15 of your 18 great-fit crops

    97%match
  8. 8

    🇧🇷CarolinaMaranhão, Brazil

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

    Shares 17 of your 18 great-fit crops

    97%match
  9. 9

    🇧🇷Colinas do TocantinsTocantins, Brazil

    Zone 12b · No frost · 0 chill hours · 65 in rainZone 12b · No frost · 0 chill hours · 1,645 mm rain

    Shares 16 of your 18 great-fit crops

    97%match
  10. 10

    🇧🇷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 18 great-fit crops

    97%match
  11. 11

    🇧🇷Floresta do AraguaiaPará, Brazil

    Zone 12b · No frost · 0 chill hours · 65 in rainZone 12b · No frost · 0 chill hours · 1,648 mm rain

    Shares 16 of your 18 great-fit crops

    97%match
  12. 12

    🇧🇷RedençãoPará, Brazil

    Zone 12b · No frost · 0 chill hours · 67 in rainZone 12b · No frost · 0 chill hours · 1,710 mm rain

    Shares 16 of your 18 great-fit crops

    97%match
  13. 13

    🇧🇷Conceição do AraguaiaPará, Brazil

    Zone 12b · No frost · 0 chill hours · 64 in rainZone 12b · No frost · 0 chill hours · 1,634 mm rain

    Shares 15 of your 18 great-fit crops

    97%match
  14. 14

    🇧🇷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 18 great-fit crops

    97%match
  15. 15

    🇧🇷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 18 great-fit crops

    97%match
  16. 16

    🇧🇷XinguaraPará, Brazil

    Zone 12b · No frost · 0 chill hours · 66 in rainZone 12b · No frost · 0 chill hours · 1,664 mm rain

    Shares 17 of your 18 great-fit crops

    96%match
  17. 17

    🇧🇷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 15 of your 18 great-fit crops

    95%match
  18. 18

    🇧🇷Santa Maria das BarreirasPará, Brazil

    Zone 12b · No frost · 0 chill hours · 65 in rainZone 12b · No frost · 0 chill hours · 1,659 mm rain

    Shares 14 of your 18 great-fit crops

    95%match
  19. 19

    🇧🇷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 18 great-fit crops

    95%match
  20. 20

    🇧🇷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 18 great-fit crops

    95%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 Porto Franco: 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.