Climatch

Land with a climate like Guaraí

🇧🇷Guaraí, Tocantins, Brazil

The towns with the closest growing climate to Guaraí are Miracema do Tocantins, Brazil (99% match), Palmas and Santa Maria das Barreiras. About 829,000 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 Guaraí are Miracema do Tocantins, Brazil (99% match), Palmas and Santa Maria das Barreiras. About 2.1 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 12b · No frost · 0 chill hours · 62 in rainZone 12b · No frost · 0 chill hours · 1,580 mm rain

What grows in Guaraí →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso, Brazil

    126k sq mi327k km² matching 80% or better

    For example Vila Rica (99), Confresa (97)

  2. 2

    🇧🇷Goiás, Brazil

    73k sq mi189k km² matching 80% or better

    For example São Miguel do Araguaia (93), Porangatu (92)

  3. 3

    🇧🇷Tocantins, Brazil

    48k sq mi125k km² matching 80% or better

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

  4. 4

    🇨🇩Tanganyika, Democratic Republic of the Congo

    12k sq mi32k km² matching 80% or better

    For example Nyunzu (84), Kabalo (83)

  5. 5

    🇳🇬Benue State, Nigeria

    11k sq mi28k km² matching 80% or better

    For example Otukpa (87), Igbor (84)

  6. 6

    🇨🇲Adamaoua, Cameroon

    7,400 sq mi19k km² matching 80% or better

    For example Tibati (83), Ngaoundal (79)

  7. 7

    🇨🇲East, Cameroon

    7,100 sq mi19k km² matching 80% or better

    For example Bélabo (83), Batouri (78)

  8. 8

    🇳🇬Oyo State, Nigeria

    6,800 sq mi18k km² matching 80% or better

    For example Ogbomoso (83), Iseyin (82)

  9. 9

    🇳🇬Kogi State, Nigeria

    5,600 sq mi15k km² matching 80% or better

    For example Kabba (85), Ogaminana (85)

  10. 10

    🇨🇫Haut-Mbomou, Central African Republic

    5,100 sq mi13k km² matching 80% or better

    For example Zemio (83)

  11. 11

    🇨🇲West, Cameroon

    5,100 sq mi13k km² matching 80% or better

    For example Magba (92), Foumbot (80)

  12. 12

    🇨🇫Nana-Mambéré, Central African Republic

    4,500 sq mi12k km² matching 80% or better

    For example Abba (84), Baoro (78)

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 17 great-fit crops

    99%match
  2. 2

    🇧🇷PalmasTocantins, Brazil

    Zone 12a · No frost · 0 chill hours · 61 in rainZone 12a · No frost · 0 chill hours · 1,548 mm rain

    Shares 15 of your 17 great-fit crops

    99%match
  3. 3

    🇧🇷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 17 great-fit crops

    99%match
  4. 4

    🇧🇷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 17 great-fit crops

    99%match
  5. 5

    🇧🇷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 17 great-fit crops

    99%match
  6. 6

    🇧🇷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 17 great-fit crops

    99%match
  7. 7

    🇧🇷Santa LuziaMaranhão, Brazil

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

    Shares 14 of your 17 great-fit crops · Also great there: fig

    99%match
  8. 8

    🇧🇷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 17 great-fit crops

    99%match
  9. 9

    🇧🇷Porto NacionalTocantins, Brazil

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

    Shares 15 of your 17 great-fit crops · Also great there: fig

    99%match
  10. 10

    🇧🇷RiachãoMaranhão, Brazil

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

    Shares 15 of your 17 great-fit crops · Also great there: fig

    98%match
  11. 11

    🇧🇷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 17 great-fit crops · Also great there: macadamia, wheat

    97%match
  12. 12

    🇧🇷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 17 great-fit crops

    97%match
  13. 13

    🇧🇷CarolinaMaranhão, Brazil

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

    Shares 16 of your 17 great-fit crops · Also great there: fig

    97%match
  14. 14

    🇧🇷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 17 great-fit crops

    97%match
  15. 15

    🇧🇷ColíderMato Grosso, Brazil

    Zone 12b · No frost · 0 chill hours · 77 in rainZone 12b · No frost · 0 chill hours · 1,964 mm rain

    Shares 14 of your 17 great-fit crops

    96%match
  16. 16

    🇧🇷SinopMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 76 in rainZone 12a · No frost · 0 chill hours · 1,929 mm rain

    Shares 14 of your 17 great-fit crops

    96%match
  17. 17

    🇧🇷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 17 great-fit crops

    96%match
  18. 18

    🇧🇷QuerênciaMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 61 in rainZone 12a · No frost · 0 chill hours · 1,546 mm rain

    Shares 14 of your 17 great-fit crops

    95%match
  19. 19

    🇧🇷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 17 great-fit crops

    95%match
  20. 20

    🇧🇷BalsasMaranhão, Brazil

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

    Shares 14 of your 17 great-fit crops · Also great there: fig

    94%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 Guaraí: 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.