Climatch

Land with a climate like Monte Negro

🇧🇷Monte Negro, Rondônia, Brazil

The towns with the closest growing climate to Monte Negro are Jaru, Brazil (99% match), São Miguel do Guaporé and Machadinho d'Oeste. About 1.3 million sq mi of land in 17 countries matches 80% or better, most of it in Mato Grosso, Brazil, Rondônia, Brazil and Pará, Brazil.The towns with the closest growing climate to Monte Negro are Jaru, Brazil (99% match), São Miguel do Guaporé and Machadinho d'Oeste. About 3.3 million km² of land in 17 countries matches 80% or better, most of it in Mato Grosso, Brazil, Rondônia, Brazil and Pará, Brazil.

Your growing climate

Zone 12b · No frost · 0 chill hours · 83 in rainZone 12b · No frost · 0 chill hours · 2,096 mm rain

What grows in Monte Negro →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso, Brazil

    117k sq mi302k km² matching 80% or better

    For example Aripuanã (98), Colniza (97)

  2. 2

    🇧🇷Rondônia, Brazil

    81k sq mi210k km² matching 80% or better

    For example Jaru (99), São Miguel do Guaporé (99)

  3. 3

    🇧🇷Pará, Brazil

    76k sq mi197k km² matching 80% or better

    For example Ourilândia do Norte (97), Água Azul do Norte (97)

  4. 4

    🇨🇩Kwilu, Democratic Republic of the Congo

    29k sq mi74k km² matching 80% or better

    For example Bulungu (87), Masi-Manimba (87)

  5. 5

    🇨🇲Centre, Cameroon

    19k sq mi49k km² matching 80% or better

    For example Bafia (90), Mbandjok (88)

  6. 6

    🇨🇲East, Cameroon

    18k sq mi46k km² matching 80% or better

    For example Abong Mbang (89), Bertoua (85)

  7. 7

    🇨🇩Sankuru, Democratic Republic of the Congo

    15k sq mi38k km² matching 80% or better

    For example Lusambo (85), Lukula (84)

  8. 8

    🇧🇴Beni Department, Bolivia

    14k sq mi37k km² matching 80% or better

    For example Guayaramerín (92), Riberalta (88)

  9. 9

    🇨🇩Mai-Ndombe, Democratic Republic of the Congo

    12k sq mi31k km² matching 80% or better

    For example Dungu (85), Mushie (79)

  10. 10

    🇨🇬Plateaux, Republic of the Congo

    10k sq mi26k km² matching 80% or better

    For example Djambala (83), Gamboma (79)

  11. 11

    🇨🇮Montagnes, Ivory Coast

    9,800 sq mi25k km² matching 80% or better

    For example Logoualé (87), Gohouo (86)

  12. 12

    🇸🇱Eastern Province, Sierra Leone

    7,700 sq mi20k km² matching 80% or better

    For example Kenema (91), Segbwema (89)

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

    🇧🇷JaruRondônia, 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

    99%match
  2. 2

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

    99%match
  3. 3

    🇧🇷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

    99%match
  4. 4

    🇧🇷CacoalRondônia, Brazil

    Zone 12a · No frost · 0 chill hours · 81 in rainZone 12a · No frost · 0 chill hours · 2,062 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  5. 5

    🇧🇷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 18 great-fit crops

    99%match
  6. 6

    🇧🇷São Francisco do GuaporéRondônia, Brazil

    Zone 12b · No frost · 0 chill hours · 64 in rainZone 12b · No frost · 0 chill hours · 1,620 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  7. 7

    🇧🇷Espigão dOesteRondônia, Brazil

    Zone 12a · No frost · 0 chill hours · 80 in rainZone 12a · No frost · 0 chill hours · 2,036 mm rain

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

    99%match
  8. 8

    🇧🇷Candeias do JamariRondônia, Brazil

    Zone 12b · No frost · 0 chill hours · 94 in rainZone 12b · No frost · 0 chill hours · 2,389 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  9. 9

    🇧🇷Rolim de MouraRondônia, Brazil

    Zone 12a · No frost · 0 chill hours · 69 in rainZone 12a · No frost · 0 chill hours · 1,751 mm rain

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

    99%match
  10. 10

    🇧🇷CerejeirasRondônia, Brazil

    Zone 12a · No frost · 0 chill hours · 73 in rainZone 12a · No frost · 0 chill hours · 1,851 mm rain

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

    98%match
  11. 11

    🇧🇷AripuanãMato Grosso, Brazil

    Zone 12b · No frost · 0 chill hours · 80 in rainZone 12b · No frost · 0 chill hours · 2,027 mm rain

    Shares 16 of your 18 great-fit crops

    98%match
  12. 12

    🇧🇷ColnizaMato Grosso, Brazil

    Zone 12b · No frost · 0 chill hours · 78 in rainZone 12b · No frost · 0 chill hours · 1,987 mm rain

    Shares 16 of your 18 great-fit crops

    97%match
  13. 13

    🇧🇷Rolim de Moura do GuaporéRondônia, Brazil

    Zone 12b · No frost · 0 chill hours · 59 in rainZone 12b · No frost · 0 chill hours · 1,493 mm rain

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

    97%match
  14. 14

    🇧🇷Água Azul do NortePará, Brazil

    Zone 12b · No frost · 0 chill hours · 68 in rainZone 12b · No frost · 0 chill hours · 1,730 mm rain

    Shares 17 of your 18 great-fit crops

    97%match
  15. 15

    🇧🇷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

    97%match
  16. 16

    🇧🇷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

    97%match
  17. 17

    🇧🇷TucumãPará, Brazil

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

    Shares 17 of your 18 great-fit crops

    97%match
  18. 18

    🇧🇷São Félix do XinguPará, Brazil

    Zone 12b · No frost · 0 chill hours · 73 in rainZone 12b · No frost · 0 chill hours · 1,847 mm rain

    Shares 17 of your 18 great-fit crops

    97%match
  19. 19

    🇧🇷BrasiléiaAcre, Brazil

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

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

    96%match
  20. 20

    🇧🇷Cumaru do NortePará, Brazil

    Zone 12b · No frost · 0 chill hours · 71 in rainZone 12b · No frost · 0 chill hours · 1,794 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 Monte Negro: 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.