Climatch

Land with a climate like Jenipapo dos Vieiras

🇧🇷Jenipapo dos Vieiras, Maranhão, Brazil

The towns with the closest growing climate to Jenipapo dos Vieiras are Amarante do Maranhão, Brazil (99% match), Bom Jesus das Selvas and Açailândia. About 349,000 sq mi of land in 14 countries matches 80% or better, most of it in Maranhão, Brazil, Pará, Brazil and Piauí, Brazil.The towns with the closest growing climate to Jenipapo dos Vieiras are Amarante do Maranhão, Brazil (99% match), Bom Jesus das Selvas and Açailândia. About 903,000 km² of land in 14 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 · 40 in rainZone 12b · No frost · 0 chill hours · 1,023 mm rain

What grows in Jenipapo dos Vieiras →

Regions with the most land like yours

  1. 1

    🇧🇷Maranhão, Brazil

    86k sq mi223k km² matching 80% or better

    For example Amarante do Maranhão (99), Sítio Novo (99)

  2. 2

    🇧🇷Pará, Brazil

    43k sq mi111k km² matching 80% or better

    For example Rondon do Pará (95), Dom Eliseu (94)

  3. 3

    🇧🇷Piauí, Brazil

    29k sq mi76k km² matching 80% or better

    For example Água Branca (94), Altos (92)

  4. 4

    🇻🇪Guárico, Venezuela

    15k sq mi38k km² matching 80% or better

    For example Valle de La Pascua (92), Tucupido (90)

  5. 5

    🇻🇪Anzoátegui, Venezuela

    9,200 sq mi24k km² matching 80% or better

    For example Pariaguán (90), Cantaura (86)

  6. 6

    🇹🇿Lindi, Tanzania

    8,300 sq mi21k km² matching 80% or better

    For example Nyangao (89), Nachingwea (88)

  7. 7

    🇹🇿Mtwara, Tanzania

    7,100 sq mi18k km² matching 80% or better

    For example Nanganga (88), Lukuledi (88)

  8. 8

    🇹🇿Morogoro, Tanzania

    5,900 sq mi15k km² matching 80% or better

    For example Mikumi (83), Dumila (82)

  9. 9

    🇹🇭Lampang, Thailand

    4,000 sq mi10k km² matching 80% or better

    For example Lampang (85), Thoen (83)

  10. 10

    🇲🇿Cabo Delgado Province, Mozambique

    3,800 sq mi9,900 km² matching 80% or better

    For example Mocímboa da Praia (82), Mocímboa (80)

  11. 11

    🇹🇭Tak, Thailand

    3,400 sq mi8,900 km² matching 80% or better

    For example Ban Tak (80), Mae Ramat (80)

  12. 12

    🇻🇪Cojedes, Venezuela

    3,200 sq mi8,400 km² matching 80% or better

    For example Tinaquillo (84), San Carlos (81)

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

    🇧🇷Amarante do MaranhãoMaranhão, Brazil

    Zone 12b · No frost · 0 chill hours · 46 in rainZone 12b · No frost · 0 chill hours · 1,177 mm rain

    Shares 16 of your 16 great-fit crops

    99%match
  2. 2

    🇧🇷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 16 of your 16 great-fit crops

    99%match
  3. 3

    🇧🇷AçailândiaMaranhão, Brazil

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

    Shares 16 of your 16 great-fit crops

    99%match
  4. 4

    🇧🇷ImperatrizMaranhão, Brazil

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

    Shares 14 of your 16 great-fit crops

    98%match
  5. 5

    🇧🇷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 16 great-fit crops

    98%match
  6. 6

    🇧🇷TuntumMaranhão, Brazil

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

    Shares 15 of your 16 great-fit crops

    98%match
  7. 7

    🇧🇷BuriticupuMaranhão, Brazil

    Zone 12b · No frost · 0 chill hours · 54 in rainZone 12b · No frost · 0 chill hours · 1,372 mm rain

    Shares 16 of your 16 great-fit crops

    98%match
  8. 8

    🇧🇷Presidente DutraMaranhão, Brazil

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

    Shares 15 of your 16 great-fit crops

    98%match
  9. 9

    🇧🇷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

    98%match
  10. 10

    🇧🇷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 16 great-fit crops

    98%match
  11. 11

    🇧🇷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 16 great-fit crops

    98%match
  12. 12

    🇧🇷São João dos PatosMaranhão, Brazil

    Zone 12b · No frost · 0 chill hours · 42 in rainZone 12b · No frost · 0 chill hours · 1,078 mm rain

    Shares 16 of your 16 great-fit crops

    96%match
  13. 13

    🇧🇷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 16 great-fit crops

    96%match
  14. 14

    🇧🇷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 16 great-fit crops

    96%match
  15. 15

    🇧🇷AraguatinsTocantins, Brazil

    Zone 13a · No frost · 0 chill hours · 56 in rainZone 13a · No frost · 0 chill hours · 1,424 mm rain

    Shares 14 of your 16 great-fit crops · Also great there: banana, cacao

    96%match
  16. 16

    🇧🇷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 16 great-fit crops

    95%match
  17. 17

    🇧🇷EsperantinópolisMaranhão, Brazil

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

    Shares 14 of your 16 great-fit crops

    95%match
  18. 18

    🇧🇷Pastos BonsMaranhão, Brazil

    Zone 12b · No frost · 0 chill hours · 45 in rainZone 12b · No frost · 0 chill hours · 1,146 mm rain

    Shares 15 of your 16 great-fit crops

    95%match
  19. 19

    🇧🇷EstreitoMaranhão, Brazil

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

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

    94%match
  20. 20

    🇧🇷Dom EliseuPará, Brazil

    Zone 13a · No frost · 0 chill hours · 61 in rainZone 13a · No frost · 0 chill hours · 1,562 mm rain

    Shares 15 of your 16 great-fit crops

    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 Jenipapo dos Vieiras: 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.