Climatch

Land with a climate like Tuntum

🇧🇷Tuntum, Maranhão, Brazil

The towns with the closest growing climate to Tuntum are Lago da Pedra, Brazil (99% match), São João do Soter and Caxias. About 256,000 sq mi of land in 12 countries matches 80% or better, most of it in Maranhão, Brazil, Pará, Brazil and Piauí, Brazil.The towns with the closest growing climate to Tuntum are Lago da Pedra, Brazil (99% match), São João do Soter and Caxias. About 663,000 km² of land in 12 countries matches 80% or better, most of it in Maranhão, Brazil, Pará, Brazil and Piauí, Brazil.

Your growing climate

Zone 12b · No frost · 0 chill hours · 47 in rainZone 12b · No frost · 0 chill hours · 1,192 mm rain

What grows in Tuntum →

Regions with the most land like yours

  1. 1

    🇧🇷Maranhão, Brazil

    88k sq mi227k km² matching 80% or better

    For example Lago da Pedra (99), São João do Soter (99)

  2. 2

    🇧🇷Pará, Brazil

    30k sq mi77k km² matching 80% or better

    For example Rondon do Pará (93), Bom Jesus do Tocantins (92)

  3. 3

    🇧🇷Piauí, Brazil

    28k sq mi72k km² matching 80% or better

    For example José de Freitas (99), Altos (98)

  4. 4

    🇻🇪Guárico, Venezuela

    17k sq mi43k km² matching 80% or better

    For example Valle de La Pascua (91), Tucupido (90)

  5. 5

    🇻🇪Anzoátegui, Venezuela

    13k sq mi33k km² matching 80% or better

    For example Pariaguán (90), Aragua de Barcelona (89)

  6. 6

    🇻🇪Bolívar, Venezuela

    6,500 sq mi17k km² matching 80% or better

    For example Caicara del Orinoco (82), Ciudad Bolívar (80)

  7. 7

    🇮🇳Tamil Nadu, India

    4,100 sq mi11k km² matching 80% or better

    For example Madukkarai (84), Chettipālaiyam (84)

  8. 8

    🇹🇿Morogoro, Tanzania

    3,800 sq mi10,000 km² matching 80% or better

    For example Kidodi (80), Ifakara (80)

  9. 9

    🇮🇩East Java, Indonesia

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

    For example Krian (87), Mojokerto (87)

  10. 10

    🇹🇭Kanchanaburi, Thailand

    3,200 sq mi8,300 km² matching 80% or better

    For example Tha Muang (82), Kanchanaburi (81)

  11. 11

    🇹🇭Sukhothai, Thailand

    2,600 sq mi6,700 km² matching 80% or better

    For example Sawankhalok (84), Si Satchanalai (83)

  12. 12

    🇹🇿Lindi, Tanzania

    2,100 sq mi5,300 km² matching 80% or better

    For example Nyangao (83), Nachingwea (80)

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

    🇧🇷Lago da PedraMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 59 in rainZone 13a · No frost · 0 chill hours · 1,506 mm rain

    Shares 13 of your 15 great-fit crops

    99%match
  2. 2

    🇧🇷São João do SoterMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 50 in rainZone 13a · No frost · 0 chill hours · 1,280 mm rain

    Shares 15 of your 15 great-fit crops

    99%match
  3. 3

    🇧🇷CaxiasMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 56 in rainZone 13a · No frost · 0 chill hours · 1,414 mm rain

    Shares 14 of your 15 great-fit crops · Also great there: date palm

    99%match
  4. 4

    🇧🇷PedreirasMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 59 in rainZone 13a · No frost · 0 chill hours · 1,492 mm rain

    Shares 14 of your 15 great-fit crops · Also great there: date palm

    99%match
  5. 5

    🇧🇷ColinasMaranhão, Brazil

    Zone 12b · No frost · 0 chill hours · 44 in rainZone 12b · No frost · 0 chill hours · 1,122 mm rain

    Shares 15 of your 15 great-fit crops

    99%match
  6. 6

    🇧🇷Buriti BravoMaranhão, Brazil

    Zone 12b · No frost · 0 chill hours · 42 in rainZone 12b · No frost · 0 chill hours · 1,069 mm rain

    Shares 15 of your 15 great-fit crops

    99%match
  7. 7

    🇧🇷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 15 great-fit crops

    98%match
  8. 8

    🇧🇷CodóMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 55 in rainZone 13a · No frost · 0 chill hours · 1,408 mm rain

    Shares 14 of your 15 great-fit crops · Also great there: date palm

    98%match
  9. 9

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

    98%match
  10. 10

    🇧🇷TimonMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 50 in rainZone 13a · No frost · 0 chill hours · 1,258 mm rain

    Shares 14 of your 15 great-fit crops

    98%match
  11. 11

    🇧🇷São Mateus do MaranhãoMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 61 in rainZone 13a · No frost · 0 chill hours · 1,555 mm rain

    Shares 13 of your 15 great-fit crops · Also great there: date palm

    98%match
  12. 12

    🇧🇷UniãoPiauí, Brazil

    Zone 13a · No frost · 0 chill hours · 55 in rainZone 13a · No frost · 0 chill hours · 1,405 mm rain

    Shares 14 of your 15 great-fit crops · Also great there: date palm

    98%match
  13. 13

    🇧🇷CoroatáMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 54 in rainZone 13a · No frost · 0 chill hours · 1,379 mm rain

    Shares 14 of your 15 great-fit crops · Also great there: date palm

    97%match
  14. 14

    🇧🇷ParnaramaMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 47 in rainZone 13a · No frost · 0 chill hours · 1,200 mm rain

    Shares 14 of your 15 great-fit crops

    97%match
  15. 15

    🇧🇷ArameMaranhão, Brazil

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

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

    97%match
  16. 16

    🇧🇷TeresinaPiauí, Brazil

    Zone 13a · No frost · 0 chill hours · 51 in rainZone 13a · No frost · 0 chill hours · 1,291 mm rain

    Shares 14 of your 15 great-fit crops

    97%match
  17. 17

    🇧🇷BacabalMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 62 in rainZone 13a · No frost · 0 chill hours · 1,580 mm rain

    Shares 13 of your 15 great-fit crops · Also great there: date palm

    97%match
  18. 18

    🇧🇷Campo MaiorPiauí, Brazil

    Zone 13a · No frost · 0 chill hours · 49 in rainZone 13a · No frost · 0 chill hours · 1,244 mm rain

    Shares 15 of your 15 great-fit crops

    97%match
  19. 19

    🇧🇷RegeneraçãoPiauí, Brazil

    Zone 12b · No frost · 0 chill hours · 46 in rainZone 12b · No frost · 0 chill hours · 1,163 mm rain

    Shares 15 of your 15 great-fit crops

    97%match
  20. 20

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

    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 Tuntum: 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.