Climatch

Land with a climate like Bom Jesus das Selvas

🇧🇷Bom Jesus das Selvas, Maranhão, Brazil

The towns with the closest growing climate to Bom Jesus das Selvas are Dom Eliseu, Brazil (99% match), Rondon do Pará and Açailândia. About 574,000 sq mi of land in 15 countries matches 80% or better, most of it in Pará, Brazil, Maranhão, Brazil and Mato Grosso, Brazil.The towns with the closest growing climate to Bom Jesus das Selvas are Dom Eliseu, Brazil (99% match), Rondon do Pará and Açailândia. About 1.5 million km² of land in 15 countries matches 80% or better, most of it in Pará, Brazil, Maranhão, Brazil and Mato Grosso, Brazil.

Your growing climate

Zone 12b · No frost · 0 chill hours · 53 in rainZone 12b · No frost · 0 chill hours · 1,346 mm rain

What grows in Bom Jesus das Selvas →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    115k sq mi297k km² matching 80% or better

    For example Dom Eliseu (99), Rondon do Pará (99)

  2. 2

    🇧🇷Maranhão, Brazil

    90k sq mi234k km² matching 80% or better

    For example Açailândia (99), Arame (99)

  3. 3

    🇧🇷Mato Grosso, Brazil

    32k sq mi84k km² matching 80% or better

    For example Vila Bela da Santíssima Trindade (85), Cáceres (84)

  4. 4

    🇻🇪Guárico, Venezuela

    13k sq mi34k km² matching 80% or better

    For example Valle de La Pascua (91), Tucupido (88)

  5. 5

    🇻🇪Anzoátegui, Venezuela

    12k sq mi31k km² matching 80% or better

    For example Pariaguán (90), Cantaura (88)

  6. 6

    🇮🇩East Java, Indonesia

    12k sq mi30k km² matching 80% or better

    For example Probolinggo (89), Pandaan (89)

  7. 7

    🇧🇴Beni Department, Bolivia

    7,900 sq mi20k km² matching 80% or better

    For example Riberalta (79), Guayaramerín (78)

  8. 8

    🇻🇪Bolívar, Venezuela

    7,100 sq mi18k km² matching 80% or better

    For example Caicara del Orinoco (79), Ciudad Bolívar (78)

  9. 9

    🇮🇩West Nusa Tenggara, Indonesia

    7,100 sq mi18k km² matching 80% or better

    For example Sumbawa Besar (85), Bima (85)

  10. 10

    🇹🇿Lindi, Tanzania

    6,200 sq mi16k km² matching 80% or better

    For example Lindi (83), Nyangao (80)

  11. 11

    🇧🇴Santa Cruz Department, Bolivia

    4,900 sq mi13k km² matching 80% or better

    For example San Ignacio de Velasco (79), Ascención de Guarayos (78)

  12. 12

    🇸🇱Northern Province, Sierra Leone

    4,700 sq mi12k km² matching 80% or better

    For example Lunsar (84), Mile 91 (84)

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

    🇧🇷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

    99%match
  2. 2

    🇧🇷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

    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

    🇧🇷ArameMaranhão, Brazil

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

    Shares 16 of your 16 great-fit crops

    99%match
  5. 5

    🇧🇷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

    99%match
  6. 6

    🇧🇷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 16 great-fit crops

    99%match
  7. 7

    🇧🇷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

    99%match
  8. 8

    🇧🇷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 16 of your 16 great-fit crops

    99%match
  9. 9

    🇧🇷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 13 of your 16 great-fit crops · Also great there: cacao, banana

    99%match
  10. 10

    🇧🇷Barra do CordaMaranhão, Brazil

    Zone 12b · No frost · 0 chill hours · 41 in rainZone 12b · No frost · 0 chill hours · 1,048 mm rain

    Shares 15 of your 16 great-fit crops

    98%match
  11. 11

    🇧🇷Santa LuziaMaranhão, Brazil

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

    Shares 14 of your 16 great-fit crops

    98%match
  12. 12

    🇧🇷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

    98%match
  13. 13

    🇧🇷UlianópolisPará, Brazil

    Zone 13a · No frost · 0 chill hours · 68 in rainZone 13a · No frost · 0 chill hours · 1,737 mm rain

    Shares 14 of your 16 great-fit crops

    98%match
  14. 14

    🇧🇷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

    98%match
  15. 15

    🇧🇷GrajaúMaranhão, Brazil

    Zone 12b · No frost · 0 chill hours · 43 in rainZone 12b · No frost · 0 chill hours · 1,097 mm rain

    Shares 15 of your 16 great-fit crops

    97%match
  16. 16

    🇧🇷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

    97%match
  17. 17

    🇧🇷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 15 of your 16 great-fit crops · Also great there: banana, cacao

    97%match
  18. 18

    🇧🇷MarabáPará, Brazil

    Zone 13a · No frost · 0 chill hours · 64 in rainZone 13a · No frost · 0 chill hours · 1,622 mm rain

    Shares 13 of your 16 great-fit crops · Also great there: cacao, banana

    97%match
  19. 19

    🇧🇷JacundáPará, Brazil

    Zone 13a · No frost · 0 chill hours · 75 in rainZone 13a · No frost · 0 chill hours · 1,900 mm rain

    Shares 13 of your 16 great-fit crops

    96%match
  20. 20

    🇧🇷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 13 of your 16 great-fit crops · Also great there: cacao, banana

    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 Bom Jesus das Selvas: 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.