Climatch

Land with a climate like Sena Madureira

🇧🇷Sena Madureira, Acre, Brazil

The towns with the closest growing climate to Sena Madureira are Feijó, Brazil (99% match), Boca do Acre and Porto Acre. About 1.2 million sq mi of land in 13 countries matches 80% or better, most of it in Rondônia, Brazil, Amazonas, Brazil and Acre, Brazil.The towns with the closest growing climate to Sena Madureira are Feijó, Brazil (99% match), Boca do Acre and Porto Acre. About 3.0 million km² of land in 13 countries matches 80% or better, most of it in Rondônia, Brazil, Amazonas, Brazil and Acre, Brazil.

Your growing climate

Zone 12a · No frost · 0 chill hours · 82 in rainZone 12a · No frost · 0 chill hours · 2,078 mm rain

What grows in Sena Madureira →

Regions with the most land like yours

  1. 1

    🇧🇷Rondônia, Brazil

    80k sq mi207k km² matching 80% or better

    For example Candeias do Jamari (96), Porto Velho (96)

  2. 2

    🇧🇷Amazonas, Brazil

    78k sq mi203k km² matching 80% or better

    For example Boca do Acre (99), Pauini (98)

  3. 3

    🇧🇷Acre, Brazil

    46k sq mi119k km² matching 80% or better

    For example Feijó (99), Porto Acre (99)

  4. 4

    🇧🇴Beni Department, Bolivia

    19k sq mi49k km² matching 80% or better

    For example Trinidad (85), Guayaramerín (83)

  5. 5

    🇨🇩Mongala, Democratic Republic of the Congo

    12k sq mi30k km² matching 80% or better

    For example Binga (86), Lisala (79)

  6. 6

    🇨🇩Mai-Ndombe, Democratic Republic of the Congo

    11k sq mi29k km² matching 80% or better

    For example Dungu (81), Kutu (78)

  7. 7

    🇵🇪Loreto, Peru

    11k sq mi28k km² matching 80% or better

    For example Contamana (79), Requena (79)

  8. 8

    🇵🇪Ucayali, Peru

    11k sq mi28k km² matching 80% or better

    For example San Fernando (87), Pucallpa (85)

  9. 9

    🇨🇩Sankuru, Democratic Republic of the Congo

    10k sq mi26k km² matching 80% or better

    For example Lodja (88), Lukula (86)

  10. 10

    🇨🇬Likouala, Republic of the Congo

    9,600 sq mi25k km² matching 80% or better

    For example Impfondo (81), Mindouli (78)

  11. 11

    🇨🇬Plateaux, Republic of the Congo

    8,700 sq mi22k km² matching 80% or better

    For example Djambala (90), Gamboma (75)

  12. 12

    🇵🇪San Martín Department, Peru

    8,300 sq mi22k km² matching 80% or better

    For example Moyobamba (87), Rioja (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

    🇧🇷FeijóAcre, Brazil

    Zone 12b · No frost · 0 chill hours · 87 in rainZone 12b · No frost · 0 chill hours · 2,220 mm rain

    Shares 19 of your 20 great-fit crops

    99%match
  2. 2

    🇧🇷Boca do AcreAmazonas, Brazil

    Zone 12b · No frost · 0 chill hours · 82 in rainZone 12b · No frost · 0 chill hours · 2,086 mm rain

    Shares 19 of your 20 great-fit crops

    99%match
  3. 3

    🇧🇷Porto AcreAcre, Brazil

    Zone 12b · No frost · 0 chill hours · 72 in rainZone 12b · No frost · 0 chill hours · 1,825 mm rain

    Shares 19 of your 20 great-fit crops

    99%match
  4. 4

    🇧🇷TarauacáAcre, Brazil

    Zone 12b · No frost · 0 chill hours · 94 in rainZone 12b · No frost · 0 chill hours · 2,387 mm rain

    Shares 19 of your 20 great-fit crops

    98%match
  5. 5

    🇧🇷PauiniAmazonas, Brazil

    Zone 13a · No frost · 0 chill hours · 88 in rainZone 13a · No frost · 0 chill hours · 2,243 mm rain

    Shares 19 of your 20 great-fit crops

    98%match
  6. 6

    🇧🇷Marechal ThaumaturgoAcre, Brazil

    Zone 12b · No frost · 0 chill hours · 71 in rainZone 12b · No frost · 0 chill hours · 1,803 mm rain

    Shares 19 of your 20 great-fit crops

    97%match
  7. 7

    🇧🇷Cruzeiro do SulAcre, Brazil

    Zone 12b · No frost · 0 chill hours · 82 in rainZone 12b · No frost · 0 chill hours · 2,088 mm rain

    Shares 19 of your 20 great-fit crops

    97%match
  8. 8

    🇧🇷Porto VelhoRondônia, Brazil

    Zone 12b · No frost · 0 chill hours · 96 in rainZone 12b · No frost · 0 chill hours · 2,449 mm rain

    Shares 18 of your 20 great-fit crops

    96%match
  9. 9

    🇧🇷XapuriAcre, Brazil

    Zone 12b · No frost · 0 chill hours · 71 in rainZone 12b · No frost · 0 chill hours · 1,813 mm rain

    Shares 19 of your 20 great-fit crops

    96%match
  10. 10

    🇧🇷BuritisRondônia, Brazil

    Zone 12b · No frost · 0 chill hours · 86 in rainZone 12b · No frost · 0 chill hours · 2,173 mm rain

    Shares 18 of your 20 great-fit crops

    95%match
  11. 11

    🇧🇷EirunepéAmazonas, Brazil

    Zone 13a · No frost · 0 chill hours · 98 in rainZone 13a · No frost · 0 chill hours · 2,500 mm rain

    Shares 19 of your 20 great-fit crops

    94%match
  12. 12

    🇧🇷Plácido de CastroAcre, Brazil

    Zone 12b · No frost · 0 chill hours · 69 in rainZone 12b · No frost · 0 chill hours · 1,746 mm rain

    Shares 19 of your 20 great-fit crops

    94%match
  13. 13

    🇧🇷HumaitáAmazonas, Brazil

    Zone 13a · No frost · 0 chill hours · 94 in rainZone 13a · No frost · 0 chill hours · 2,385 mm rain

    Shares 18 of your 20 great-fit crops

    94%match
  14. 14

    🇧🇷Machadinho d'OesteRondônia, Brazil

    Zone 12b · No frost · 0 chill hours · 92 in rainZone 12b · No frost · 0 chill hours · 2,337 mm rain

    Shares 17 of your 20 great-fit crops

    93%match
  15. 15

    🇧🇷Rio BrancoAcre, Brazil

    Zone 12b · No frost · 0 chill hours · 68 in rainZone 12b · No frost · 0 chill hours · 1,724 mm rain

    Shares 19 of your 20 great-fit crops

    93%match
  16. 16

    🇵🇪Puerto MaldonadoMadre de Dios, Peru

    Zone 12b · No frost · 0 chill hours · 88 in rainZone 12b · No frost · 0 chill hours · 2,242 mm rain

    Shares 19 of your 20 great-fit crops

    93%match
  17. 17

    🇧🇷BrasiléiaAcre, Brazil

    Zone 12b · No frost · 0 chill hours · 70 in rainZone 12b · No frost · 0 chill hours · 1,770 mm rain

    Shares 19 of your 20 great-fit crops

    93%match
  18. 18

    🇧🇷IpixunaAmazonas, Brazil

    Zone 13a · No frost · 0 chill hours · 98 in rainZone 13a · No frost · 0 chill hours · 2,499 mm rain

    Shares 19 of your 20 great-fit crops

    92%match
  19. 19

    🇧🇷Ji ParanáRondônia, Brazil

    Zone 12a · No frost · 0 chill hours · 85 in rainZone 12a · No frost · 0 chill hours · 2,168 mm rain

    Shares 18 of your 20 great-fit crops

    92%match
  20. 20

    🇧🇷São Miguel do GuaporéRondônia, Brazil

    Zone 12b · No frost · 0 chill hours · 69 in rainZone 12b · No frost · 0 chill hours · 1,741 mm rain

    Shares 19 of your 20 great-fit crops

    92%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 Sena Madureira: 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.