Climatch

Land with a climate like Coroatá

🇧🇷Coroatá, Maranhão, Brazil

The towns with the closest growing climate to Coroatá are União, Brazil (99% match), Coelho Neto and Aldeias Altas. About 178,000 sq mi of land in 8 countries matches 80% or better, most of it in Maranhão, Brazil, Pará, Brazil and Piauí, Brazil.The towns with the closest growing climate to Coroatá are União, Brazil (99% match), Coelho Neto and Aldeias Altas. About 462,000 km² of land in 8 countries matches 80% or better, most of it in Maranhão, Brazil, Pará, Brazil and Piauí, Brazil.

Your growing climate

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

What grows in Coroatá →

Regions with the most land like yours

  1. 1

    🇧🇷Maranhão, Brazil

    70k sq mi181k km² matching 80% or better

    For example Coelho Neto (99), Aldeias Altas (99)

  2. 2

    🇧🇷Pará, Brazil

    25k sq mi66k km² matching 80% or better

    For example Ulianópolis (88), Jacundá (86)

  3. 3

    🇧🇷Piauí, Brazil

    21k sq mi53k km² matching 80% or better

    For example União (99), Miguel Alves (99)

  4. 4

    🇻🇪Anzoátegui, Venezuela

    13k sq mi33k km² matching 80% or better

    For example Aragua de Barcelona (89), Clarines (85)

  5. 5

    🇮🇳Tamil Nadu, India

    8,500 sq mi22k km² matching 80% or better

    For example Tirupattur (84), Harūr (84)

  6. 6

    🇻🇪Guárico, Venezuela

    7,100 sq mi18k km² matching 80% or better

    For example Zaraza (87), Tucupido (85)

  7. 7

    🇮🇩East Java, Indonesia

    6,500 sq mi17k km² matching 80% or better

    For example Gedangan (91), Tanggulangin (91)

  8. 8

    🇻🇪Bolívar, Venezuela

    3,900 sq mi10,000 km² matching 80% or better

    For example Ciudad Bolívar (82), Caicara del Orinoco (74)

  9. 9

    🇻🇳Dong Thap, Vietnam

    1,500 sq mi3,800 km² matching 80% or better

    For example Sa Dec (82), Cai Lậy (80)

  10. 10

    🇻🇳Lam Dong, Vietnam

    1,500 sq mi3,800 km² matching 80% or better

    For example Mui Ne (79), Phan Thiết (77)

  11. 11

    🇰🇭Svay Rieng, Cambodia

    900 sq mi2,300 km² matching 80% or better

    For example Bavet (78), Svay Rieng (78)

  12. 12

    🇮🇳Andhra Pradesh, India

    600 sq mi1,500 km² matching 80% or better

    For example Rāmāpuram (80), Chittoor (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

    🇧🇷UniãoPiauí, Brazil

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

    Shares 15 of your 15 great-fit crops

    99%match
  2. 2

    🇧🇷Coelho NetoMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 59 in rainZone 13a · No frost · 0 chill hours · 1,511 mm rain

    Shares 14 of your 15 great-fit crops

    99%match
  3. 3

    🇧🇷Aldeias AltasMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 56 in rainZone 13a · No frost · 0 chill hours · 1,426 mm rain

    Shares 15 of your 15 great-fit crops

    99%match
  4. 4

    🇧🇷ChapadinhaMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 62 in rainZone 13a · No frost · 0 chill hours · 1,581 mm rain

    Shares 13 of your 15 great-fit crops

    99%match
  5. 5

    🇧🇷BrejoMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 62 in rainZone 13a · No frost · 0 chill hours · 1,584 mm rain

    Shares 13 of your 15 great-fit crops

    99%match
  6. 6

    🇧🇷BarrasPiauí, Brazil

    Zone 13a · No frost · 0 chill hours · 59 in rainZone 13a · No frost · 0 chill hours · 1,508 mm rain

    Shares 14 of your 15 great-fit crops

    99%match
  7. 7

    🇧🇷EsperantinópolisMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 63 in rainZone 13a · No frost · 0 chill hours · 1,603 mm rain

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

    99%match
  8. 8

    🇧🇷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
  9. 9

    🇧🇷Pio XIIMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 66 in rainZone 13a · No frost · 0 chill hours · 1,670 mm rain

    Shares 13 of your 15 great-fit crops · Also great there: cacao, banana

    99%match
  10. 10

    🇧🇷Itapecuru MirimMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 63 in rainZone 13a · No frost · 0 chill hours · 1,611 mm rain

    Shares 13 of your 15 great-fit crops

    99%match
  11. 11

    🇧🇷São BernardoMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 52 in rainZone 13a · No frost · 0 chill hours · 1,310 mm rain

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

    98%match
  12. 12

    🇧🇷Urbano SantosMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 64 in rainZone 13a · No frost · 0 chill hours · 1,619 mm rain

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

    98%match
  13. 13

    🇧🇷Presidente DutraMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 45 in rainZone 13a · No frost · 0 chill hours · 1,150 mm rain

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

    97%match
  14. 14

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

    97%match
  15. 15

    🇧🇷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
  16. 16

    🇧🇷Campo MaiorPiauí, Brazil

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

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

    97%match
  17. 17

    🇧🇷Santa LuziaMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 59 in rainZone 13a · No frost · 0 chill hours · 1,505 mm rain

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

    97%match
  18. 18

    🇧🇷PiripiriPiauí, Brazil

    Zone 13a · No frost · 0 chill hours · 53 in rainZone 13a · No frost · 0 chill hours · 1,341 mm rain

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

    96%match
  19. 19

    🇧🇷Vitória do MearimMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 66 in rainZone 13a · No frost · 0 chill hours · 1,674 mm rain

    Shares 13 of your 15 great-fit crops

    96%match
  20. 20

    🇧🇷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

    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 Coroatá: 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.