Climatch

Land with a climate like Araguaína

🇧🇷Araguaína, Tocantins, Brazil

The towns with the closest growing climate to Araguaína are Estreito, Brazil (99% match), Floresta do Araguaia and Redenção. About 1.3 million sq mi of land in 25 countries matches 80% or better, most of it in Mato Grosso, Brazil, Pará, Brazil and Rondônia, Brazil.The towns with the closest growing climate to Araguaína are Estreito, Brazil (99% match), Floresta do Araguaia and Redenção. About 3.4 million km² of land in 25 countries matches 80% or better, most of it in Mato Grosso, Brazil, Pará, Brazil and Rondônia, Brazil.

Your growing climate

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

What grows in Araguaína →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso, Brazil

    144k sq mi373k km² matching 80% or better

    For example Aripuanã (96), Colniza (95)

  2. 2

    🇧🇷Pará, Brazil

    94k sq mi244k km² matching 80% or better

    For example Floresta do Araguaia (99), Redenção (99)

  3. 3

    🇧🇷Rondônia, Brazil

    77k sq mi199k km² matching 80% or better

    For example Rolim de Moura do Guaporé (94), Cerejeiras (93)

  4. 4

    🇨🇲East, Cameroon

    19k sq mi49k km² matching 80% or better

    For example Batouri (91), Bélabo (90)

  5. 5

    🇻🇪Apure, Venezuela

    13k sq mi35k km² matching 80% or better

    For example Elorza (84), Guasdualito (83)

  6. 6

    🇧🇴Beni Department, Bolivia

    11k sq mi29k km² matching 80% or better

    For example Riberalta (85), Guayaramerín (84)

  7. 7

    🇨🇩Kwilu, Democratic Republic of the Congo

    11k sq mi29k km² matching 80% or better

    For example Masi-Manimba (85), Kikwit (82)

  8. 8

    🇨🇮Montagnes, Ivory Coast

    10k sq mi27k km² matching 80% or better

    For example Logoualé (87), Bléniméouin (87)

  9. 9

    🇧🇴Santa Cruz Department, Bolivia

    9,800 sq mi25k km² matching 80% or better

    For example San Ignacio de Velasco (84), Ascención de Guarayos (80)

  10. 10

    🇨🇮Woroba, Ivory Coast

    9,800 sq mi25k km² matching 80% or better

    For example Séguéla (87), Touba (84)

  11. 11

    🇨🇲Centre, Cameroon

    9,500 sq mi25k km² matching 80% or better

    For example Nanga Eboko (88), Bafia (88)

  12. 12

    🇸🇱Northern Province, Sierra Leone

    9,200 sq mi24k km² matching 80% or better

    For example Kabala (90), Makeni (90)

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

    🇧🇷EstreitoMaranhão, Brazil

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

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

    99%match
  2. 2

    🇧🇷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 17 great-fit crops

    99%match
  3. 3

    🇧🇷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

    99%match
  4. 4

    🇧🇷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 17 great-fit crops

    99%match
  5. 5

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

    99%match
  6. 6

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

    99%match
  8. 8

    🇧🇷Canaã dos CarajásPará, Brazil

    Zone 12b · No frost · 0 chill hours · 65 in rainZone 12b · No frost · 0 chill hours · 1,653 mm rain

    Shares 17 of your 17 great-fit crops

    99%match
  9. 9

    🇧🇷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
  10. 10

    🇧🇷Eldorado dos CarajásPará, Brazil

    Zone 13a · No frost · 0 chill hours · 62 in rainZone 13a · No frost · 0 chill hours · 1,569 mm rain

    Shares 15 of your 17 great-fit crops

    99%match
  11. 11

    🇧🇷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

    98%match
  12. 12

    🇧🇷ParauapebasPará, Brazil

    Zone 13a · No frost · 0 chill hours · 66 in rainZone 13a · No frost · 0 chill hours · 1,672 mm rain

    Shares 17 of your 17 great-fit crops

    98%match
  13. 13

    🇧🇷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 17 great-fit crops

    98%match
  14. 14

    🇧🇷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 17 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 17 great-fit crops

    97%match
  16. 16

    🇧🇷AçailândiaMaranhão, Brazil

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

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

    97%match
  17. 17

    🇧🇷ImperatrizMaranhão, Brazil

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

    Shares 13 of your 17 great-fit crops · Also great there: fig

    97%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 17 great-fit crops

    96%match
  19. 19

    🇧🇷Cumaru do NortePará, Brazil

    Zone 12b · No frost · 0 chill hours · 71 in rainZone 12b · No frost · 0 chill hours · 1,794 mm rain

    Shares 17 of your 17 great-fit crops

    96%match
  20. 20

    🇧🇷Água Azul do NortePará, Brazil

    Zone 12b · No frost · 0 chill hours · 68 in rainZone 12b · No frost · 0 chill hours · 1,730 mm rain

    Shares 17 of your 17 great-fit crops

    96%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 Araguaína: 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.