Climatch

Land with a climate like Tame

🇨🇴Tame, Arauca Department, Colombia

The towns with the closest growing climate to Tame are Yopal, Colombia (99% match), Tauramena and Villanueva. About 1.9 million sq mi of land in 32 countries matches 80% or better, most of it in Pará, Brazil, Amazonas, Brazil and Rondônia, Brazil.The towns with the closest growing climate to Tame are Yopal, Colombia (99% match), Tauramena and Villanueva. About 5.0 million km² of land in 32 countries matches 80% or better, most of it in Pará, Brazil, Amazonas, Brazil and Rondônia, Brazil.

Your growing climate

Zone 13a · No frost · 0 chill hours · 88 in rainZone 13a · No frost · 0 chill hours · 2,227 mm rain

What grows in Tame →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    74k sq mi193k km² matching 80% or better

    For example Parauapebas (89), Curionópolis (88)

  2. 2

    🇧🇷Amazonas, Brazil

    58k sq mi149k km² matching 80% or better

    For example Apuí (86), Humaitá (86)

  3. 3

    🇧🇷Rondônia, Brazil

    43k sq mi111k km² matching 80% or better

    For example Nova Mamoré (86), Buritis (85)

  4. 4

    🇻🇪Bolívar, Venezuela

    31k sq mi79k km² matching 80% or better

    For example La Paragua (94), Ciudad Piar (91)

  5. 5

    🇨🇩Mai-Ndombe, Democratic Republic of the Congo

    25k sq mi65k km² matching 80% or better

    For example Bolobo (87), Mushie (86)

  6. 6

    🇧🇴Beni Department, Bolivia

    22k sq mi56k km² matching 80% or better

    For example Trinidad (85), San Borja (85)

  7. 7

    🇨🇩Kwilu, Democratic Republic of the Congo

    21k sq mi54k km² matching 80% or better

    For example Bandundu Province (86), Mangai (84)

  8. 8

    🇨🇩Tshopo, Democratic Republic of the Congo

    20k sq mi51k km² matching 80% or better

    For example Basoko (90), Kisangani (84)

  9. 9

    🇮🇩East Java, Indonesia

    18k sq mi48k km² matching 80% or better

    For example Blitar (93), Jember (93)

  10. 10

    🇮🇩Central Java, Indonesia

    16k sq mi41k km² matching 80% or better

    For example Mertoyudan (94), Jogonalan (94)

  11. 11

    🇨🇬Cuvette, Republic of the Congo

    14k sq mi37k km² matching 80% or better

    For example Oyo (86), Mossaka (85)

  12. 12

    🇨🇲East, Cameroon

    14k sq mi37k km² matching 80% or better

    For example Yokadouma (88), Batouri (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

    🇨🇴YopalCasanare Department, Colombia

    Zone 13a · No frost · 0 chill hours · 99 in rainZone 13a · No frost · 0 chill hours · 2,519 mm rain

    Shares 19 of your 19 great-fit crops

    99%match
  2. 2

    🇨🇴TauramenaCasanare Department, Colombia

    Zone 13a · No frost · 0 chill hours · 109 in rainZone 13a · No frost · 0 chill hours · 2,760 mm rain

    Shares 17 of your 19 great-fit crops

    99%match
  3. 3

    🇨🇴VillanuevaCasanare Department, Colombia

    Zone 13a · No frost · 0 chill hours · 98 in rainZone 13a · No frost · 0 chill hours · 2,481 mm rain

    Shares 15 of your 19 great-fit crops

    99%match
  4. 4

    🇨🇴CumariboVichada Department, Colombia

    Zone 13a · No frost · 0 chill hours · 105 in rainZone 13a · No frost · 0 chill hours · 2,655 mm rain

    Shares 16 of your 19 great-fit crops

    97%match
  5. 5

    🇨🇴Puerto LópezMeta Department, Colombia

    Zone 13a · No frost · 0 chill hours · 96 in rainZone 13a · No frost · 0 chill hours · 2,438 mm rain

    Shares 17 of your 19 great-fit crops

    97%match
  6. 6

    🇻🇪BarinitasBarinas, Venezuela

    Zone 13a · No frost · 0 chill hours · 59 in rainZone 13a · No frost · 0 chill hours · 1,491 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: fig

    96%match
  7. 7

    🇨🇴GranadaMeta Department, Colombia

    Zone 13a · No frost · 0 chill hours · 102 in rainZone 13a · No frost · 0 chill hours · 2,603 mm rain

    Shares 19 of your 19 great-fit crops

    95%match
  8. 8

    🇻🇪La ParaguaBolívar, Venezuela

    Zone 13a · No frost · 0 chill hours · 82 in rainZone 13a · No frost · 0 chill hours · 2,088 mm rain

    Shares 19 of your 19 great-fit crops

    94%match
  9. 9

    🇻🇪Santa BárbaraBarinas, Venezuela

    Zone 13a · No frost · 0 chill hours · 80 in rainZone 13a · No frost · 0 chill hours · 2,024 mm rain

    Shares 17 of your 19 great-fit crops

    94%match
  10. 10

    🇻🇪Puerto AyacuchoAmazonas, Venezuela

    Zone 13a · No frost · 0 chill hours · 94 in rainZone 13a · No frost · 0 chill hours · 2,387 mm rain

    Shares 15 of your 19 great-fit crops

    94%match
  11. 11

    🇮🇩Magelang↻Seasons flipped. Central Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 108 in rainZone 13a · No frost · 0 chill hours · 2,753 mm rain

    Shares 17 of your 19 great-fit crops

    93%match
  12. 12

    🇮🇩Blitar↻Seasons flipped. East Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 79 in rainZone 13a · No frost · 0 chill hours · 1,997 mm rain

    Shares 19 of your 19 great-fit crops

    93%match
  13. 13

    🇮🇩Jember↻Seasons flipped. East Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 83 in rainZone 13a · No frost · 0 chill hours · 2,098 mm rain

    Shares 19 of your 19 great-fit crops

    93%match
  14. 14

    🇮🇩Cikampek↻Seasons flipped. West Java, Indonesia

    Zone 13b · No frost · 0 chill hours · 74 in rainZone 13b · No frost · 0 chill hours · 1,879 mm rain

    Shares 18 of your 19 great-fit crops

    93%match
  15. 15

    🇮🇩Lumajang↻Seasons flipped. East Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 74 in rainZone 13a · No frost · 0 chill hours · 1,884 mm rain

    Shares 19 of your 19 great-fit crops

    93%match
  16. 16

    🇸🇱KenemaEastern Province, Sierra Leone

    Zone 12b · No frost · 0 chill hours · 108 in rainZone 12b · No frost · 0 chill hours · 2,733 mm rain

    Shares 17 of your 19 great-fit crops

    93%match
  17. 17

    🇻🇪ValeraTrujillo, Venezuela

    Zone 13a · No frost · 0 chill hours · 55 in rainZone 13a · No frost · 0 chill hours · 1,407 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: fig

    92%match
  18. 18

    🇮🇩Malang↻Seasons flipped. East Java, Indonesia

    Zone 12b · No frost · 0 chill hours · 94 in rainZone 12b · No frost · 0 chill hours · 2,398 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: wheat

    92%match
  19. 19

    🇮🇩Trenggalek↻Seasons flipped. East Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 85 in rainZone 13a · No frost · 0 chill hours · 2,157 mm rain

    Shares 19 of your 19 great-fit crops

    92%match
  20. 20

    🇮🇩Yogyakarta↻Seasons flipped. Indonesia

    Zone 13a · No frost · 0 chill hours · 85 in rainZone 13a · No frost · 0 chill hours · 2,165 mm rain

    Shares 18 of your 19 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 Tame: 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.