Climatch

Land with a climate like Humaitá

🇧🇷Humaitá, Amazonas, Brazil

The towns with the closest growing climate to Humaitá are Canutama, Brazil (99% match), Porto Velho and Lábrea. About 1.7 million sq mi of land in 21 countries matches 80% or better, most of it in Amazonas, Brazil, Pará, Brazil and Rondônia, Brazil.The towns with the closest growing climate to Humaitá are Canutama, Brazil (99% match), Porto Velho and Lábrea. About 4.4 million km² of land in 21 countries matches 80% or better, most of it in Amazonas, Brazil, Pará, Brazil and Rondônia, Brazil.

Your growing climate

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

What grows in Humaitá →

Regions with the most land like yours

  1. 1

    🇧🇷Amazonas, Brazil

    169k sq mi436k km² matching 80% or better

    For example Canutama (99), Lábrea (99)

  2. 2

    🇧🇷Pará, Brazil

    112k sq mi289k km² matching 80% or better

    For example Trairão (96), Jacareacanga (95)

  3. 3

    🇧🇷Rondônia, Brazil

    71k sq mi184k km² matching 80% or better

    For example Porto Velho (99), Candeias do Jamari (99)

  4. 4

    🇨🇩Mai-Ndombe, Democratic Republic of the Congo

    25k sq mi65k km² matching 80% or better

    For example Dungu (83), Bolobo (82)

  5. 5

    🇵🇪Loreto, Peru

    23k sq mi59k km² matching 80% or better

    For example Yurimaguas (87), Requena (86)

  6. 6

    🇧🇴Beni Department, Bolivia

    20k sq mi51k km² matching 80% or better

    For example Guayaramerín (94), Riberalta (92)

  7. 7

    🇨🇩Mongala, Democratic Republic of the Congo

    13k sq mi34k km² matching 80% or better

    For example Binga (84), Bumba (81)

  8. 8

    🇵🇪Ucayali, Peru

    13k sq mi34k km² matching 80% or better

    For example San Fernando (91), Pucallpa (89)

  9. 9

    🇨🇲South, Cameroon

    12k sq mi31k km² matching 80% or better

    For example Lolodorf (87), Kribi (86)

  10. 10

    🇨🇲Centre, Cameroon

    11k sq mi29k km² matching 80% or better

    For example Eséka (93), Makak (86)

  11. 11

    🇨🇬Likouala, Republic of the Congo

    10k sq mi27k km² matching 80% or better

    For example Impfondo (86), Bétou (79)

  12. 12

    🇨🇲South-West, Cameroon

    9,500 sq mi25k km² matching 80% or better

    For example Kumba (95), Tombel (94)

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

    🇧🇷CanutamaAmazonas, Brazil

    Zone 13a · No frost · 0 chill hours · 97 in rainZone 13a · No frost · 0 chill hours · 2,470 mm rain

    Shares 17 of your 18 great-fit crops

    99%match
  2. 2

    🇧🇷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 18 great-fit crops

    99%match
  3. 3

    🇧🇷LábreaAmazonas, Brazil

    Zone 13a · No frost · 0 chill hours · 107 in rainZone 13a · No frost · 0 chill hours · 2,717 mm rain

    Shares 17 of your 18 great-fit crops

    99%match
  4. 4

    🇧🇷PauiniAmazonas, Brazil

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

    Shares 18 of your 18 great-fit crops · Also great there: macadamia

    99%match
  5. 5

    🇧🇷ApuíAmazonas, Brazil

    Zone 13a · No frost · 0 chill hours · 76 in rainZone 13a · No frost · 0 chill hours · 1,943 mm rain

    Shares 15 of your 18 great-fit crops

    99%match
  6. 6

    🇧🇷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 18 of your 18 great-fit crops · Also great there: macadamia

    99%match
  7. 7

    🇧🇷TapauáAmazonas, Brazil

    Zone 13a · No frost · 0 chill hours · 94 in rainZone 13a · No frost · 0 chill hours · 2,389 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: macadamia

    99%match
  8. 8

    🇧🇷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 18 great-fit crops

    99%match
  9. 9

    🇧🇷Porto AcreAcre, Brazil

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

    Shares 18 of your 18 great-fit crops · Also great there: macadamia

    99%match
  10. 10

    🇧🇷EirunepéAmazonas, Brazil

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

    Shares 18 of your 18 great-fit crops · Also great there: macadamia

    99%match
  11. 11

    🇧🇷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 18 of your 18 great-fit crops · Also great there: macadamia

    99%match
  12. 12

    🇧🇷FeijóAcre, Brazil

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

    Shares 18 of your 18 great-fit crops · Also great there: macadamia

    98%match
  13. 13

    🇧🇷Marechal ThaumaturgoAcre, Brazil

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

    Shares 18 of your 18 great-fit crops · Also great there: macadamia

    97%match
  14. 14

    🇧🇷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 18 of your 18 great-fit crops · Also great there: macadamia

    97%match
  15. 15

    🇧🇷Nova MamoréRondônia, Brazil

    Zone 12b · No frost · 0 chill hours · 72 in rainZone 12b · No frost · 0 chill hours · 1,840 mm rain

    Shares 16 of your 18 great-fit crops

    97%match
  16. 16

    🇧🇷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 18 great-fit crops

    97%match
  17. 17

    🇧🇷ManicoréAmazonas, Brazil

    Zone 13b · No frost · 0 chill hours · 100 in rainZone 13b · No frost · 0 chill hours · 2,541 mm rain

    Shares 16 of your 18 great-fit crops

    96%match
  18. 18

    🇧🇷TarauacáAcre, Brazil

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

    Shares 18 of your 18 great-fit crops · Also great there: macadamia

    96%match
  19. 19

    🇧🇷XapuriAcre, Brazil

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

    Shares 18 of your 18 great-fit crops · Also great there: macadamia

    96%match
  20. 20

    🇧🇷TrairãoPará, Brazil

    Zone 13a · No frost · 0 chill hours · 85 in rainZone 13a · No frost · 0 chill hours · 2,159 mm rain

    Shares 17 of your 18 great-fit crops

    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 Humaitá: 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.