Climatch

Land with a climate like Porto Nacional

🇧🇷Porto Nacional, Tocantins, Brazil

The towns with the closest growing climate to Porto Nacional are Miracema do Tocantins, Brazil (99% match), Gurupi and Guaraí. About 628,000 sq mi of land in 18 countries matches 80% or better, most of it in Mato Grosso, Brazil, Goiás, Brazil and Tocantins, Brazil.The towns with the closest growing climate to Porto Nacional are Miracema do Tocantins, Brazil (99% match), Gurupi and Guaraí. About 1.6 million km² of land in 18 countries matches 80% or better, most of it in Mato Grosso, Brazil, Goiás, Brazil and Tocantins, Brazil.

Your growing climate

Zone 12a · No frost · 0 chill hours · 58 in rainZone 12a · No frost · 0 chill hours · 1,480 mm rain

What grows in Porto Nacional →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso, Brazil

    98k sq mi253k km² matching 80% or better

    For example Vila Rica (95), Confresa (93)

  2. 2

    🇧🇷Goiás, Brazil

    73k sq mi189k km² matching 80% or better

    For example Minaçu (95), São Miguel do Araguaia (95)

  3. 3

    🇧🇷Tocantins, Brazil

    48k sq mi124k km² matching 80% or better

    For example Miracema do Tocantins (99), Gurupi (99)

  4. 4

    🇨🇩Tanganyika, Democratic Republic of the Congo

    9,800 sq mi25k km² matching 80% or better

    For example Nyunzu (83), Manono (80)

  5. 5

    🇲🇲Bago Region, Myanmar

    7,700 sq mi20k km² matching 80% or better

    For example Paungde (82), Zigon (81)

  6. 6

    🇹🇭Lampang, Thailand

    4,300 sq mi11k km² matching 80% or better

    For example Lampang (78), Thoen (75)

  7. 7

    🇲🇲Kayin State, Myanmar

    4,000 sq mi10k km² matching 80% or better

    For example Myawaddy (83), Payathonzu (79)

  8. 8

    🇹🇭Tak, Thailand

    4,000 sq mi10k km² matching 80% or better

    For example Mae Ramat (84), Mae Sot (84)

  9. 9

    🇳🇬Kogi State, Nigeria

    3,600 sq mi9,200 km² matching 80% or better

    For example Kabba (83), Ogaminana (82)

  10. 10

    🇻🇪Apure, Venezuela

    3,000 sq mi7,700 km² matching 80% or better

    For example Achaguas (83), Biruaca (81)

  11. 11

    🇨🇲West, Cameroon

    2,700 sq mi6,900 km² matching 80% or better

    For example Magba (83), Foumbot (67)

  12. 12

    🇨🇫Haute-Kotto, Central African Republic

    2,700 sq mi6,900 km² matching 80% or better

    For example Bria (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

    🇧🇷Miracema do TocantinsTocantins, Brazil

    Zone 12b · No frost · 0 chill hours · 60 in rainZone 12b · No frost · 0 chill hours · 1,519 mm rain

    Shares 15 of your 16 great-fit crops

    99%match
  2. 2

    🇧🇷GurupiTocantins, Brazil

    Zone 12a · No frost · 0 chill hours · 61 in rainZone 12a · No frost · 0 chill hours · 1,542 mm rain

    Shares 15 of your 16 great-fit crops

    99%match
  3. 3

    🇧🇷GuaraíTocantins, Brazil

    Zone 12b · No frost · 0 chill hours · 62 in rainZone 12b · No frost · 0 chill hours · 1,580 mm rain

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

    99%match
  4. 4

    🇧🇷Paraíso do TocantinsTocantins, Brazil

    Zone 12a · No frost · 0 chill hours · 61 in rainZone 12a · No frost · 0 chill hours · 1,557 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: macadamia, wheat

    99%match
  5. 5

    🇧🇷Formoso do AraguaiaTocantins, Brazil

    Zone 12b · No frost · 0 chill hours · 60 in rainZone 12b · No frost · 0 chill hours · 1,517 mm rain

    Shares 14 of your 16 great-fit crops

    98%match
  6. 6

    🇧🇷Santa LuziaMaranhão, Brazil

    Zone 12b · No frost · 0 chill hours · 51 in rainZone 12b · No frost · 0 chill hours · 1,287 mm rain

    Shares 15 of your 16 great-fit crops

    98%match
  7. 7

    🇧🇷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

    97%match
  8. 8

    🇧🇷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 16 great-fit crops

    96%match
  9. 9

    🇧🇷Santana do AraguaiaPará, Brazil

    Zone 12b · No frost · 0 chill hours · 68 in rainZone 12b · No frost · 0 chill hours · 1,733 mm rain

    Shares 14 of your 16 great-fit crops

    96%match
  10. 10

    🇧🇷BalsasMaranhão, Brazil

    Zone 12b · No frost · 0 chill hours · 43 in rainZone 12b · No frost · 0 chill hours · 1,102 mm rain

    Shares 15 of your 16 great-fit crops

    95%match
  11. 11

    🇧🇷MinaçuGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 55 in rainZone 12a · No frost · 0 chill hours · 1,386 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: macadamia

    95%match
  12. 12

    🇧🇷Vila RicaMato Grosso, Brazil

    Zone 12b · No frost · 0 chill hours · 69 in rainZone 12b · No frost · 0 chill hours · 1,754 mm rain

    Shares 14 of your 16 great-fit crops

    95%match
  13. 13

    🇧🇷São Miguel do AraguaiaGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 58 in rainZone 12a · No frost · 0 chill hours · 1,466 mm rain

    Shares 15 of your 16 great-fit crops

    95%match
  14. 14

    🇧🇷PorangatuGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 56 in rainZone 12a · No frost · 0 chill hours · 1,432 mm rain

    Shares 16 of your 16 great-fit crops

    94%match
  15. 15

    🇧🇷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
  16. 16

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

    93%match
  17. 17

    🇧🇷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

    93%match
  18. 18

    🇧🇷CrixásGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 55 in rainZone 12a · No frost · 0 chill hours · 1,401 mm rain

    Shares 16 of your 16 great-fit crops

    93%match
  19. 19

    🇧🇷UruaçuGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 56 in rainZone 12a · No frost · 0 chill hours · 1,435 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: macadamia

    93%match
  20. 20

    🇧🇷ConfresaMato Grosso, Brazil

    Zone 12b · No frost · 0 chill hours · 70 in rainZone 12b · No frost · 0 chill hours · 1,780 mm rain

    Shares 13 of your 16 great-fit crops

    93%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 Nacional: 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.