Climatch

Land with a climate like Aguazul

🇨🇴Aguazul, Casanare Department, Colombia

The towns with the closest growing climate to Aguazul are Paz de Ariporo, Colombia (99% match), Tame and Puerto López. About 1.7 million sq mi of land in 27 countries matches 80% or better, most of it in Amazonas, Brazil, Pará, Brazil and Rondônia, Brazil.The towns with the closest growing climate to Aguazul are Paz de Ariporo, Colombia (99% match), Tame and Puerto López. About 4.4 million km² of land in 27 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 · 99 in rainZone 13a · No frost · 0 chill hours · 2,505 mm rain

What grows in Aguazul →

Regions with the most land like yours

  1. 1

    🇧🇷Amazonas, Brazil

    57k sq mi147k km² matching 80% or better

    For example Apuí (88), Humaitá (88)

  2. 2

    🇧🇷Pará, Brazil

    54k sq mi141k km² matching 80% or better

    For example Novo Progresso (88), Parauapebas (87)

  3. 3

    🇧🇷Rondônia, Brazil

    43k sq mi111k km² matching 80% or better

    For example Buritis (86), Candeias do Jamari (86)

  4. 4

    🇨🇩Mai-Ndombe, Democratic Republic of the Congo

    24k sq mi63k km² matching 80% or better

    For example Bolobo (88), Dungu (86)

  5. 5

    🇨🇩Kwilu, Democratic Republic of the Congo

    23k sq mi59k km² matching 80% or better

    For example Bandundu Province (87), Mangai (85)

  6. 6

    🇨🇩Haut-Uele, Democratic Republic of the Congo

    19k sq mi49k km² matching 80% or better

    For example Isiro (88), Wamba (87)

  7. 7

    🇧🇴Beni Department, Bolivia

    17k sq mi45k km² matching 80% or better

    For example Riberalta (83), Guayaramerín (83)

  8. 8

    🇨🇲East, Cameroon

    17k sq mi44k km² matching 80% or better

    For example Yokadouma (88), Batouri (85)

  9. 9

    🇮🇩Central Java, Indonesia

    15k sq mi38k km² matching 80% or better

    For example Mertoyudan (91), Magelang (90)

  10. 10

    🇻🇪Bolívar, Venezuela

    14k sq mi36k km² matching 80% or better

    For example La Paragua (87), Ciudad Piar (80)

  11. 11

    🇨🇬Likouala, Republic of the Congo

    12k sq mi32k km² matching 80% or better

    For example Mindouli (88), Bétou (88)

  12. 12

    🇨🇲Centre, Cameroon

    12k sq mi31k km² matching 80% or better

    For example Eséka (86), Obala (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

    🇨🇴Paz de AriporoCasanare Department, Colombia

    Zone 13a · No frost · 0 chill hours · 91 in rainZone 13a · No frost · 0 chill hours · 2,299 mm rain

    Shares 19 of your 19 great-fit crops

    99%match
  2. 2

    🇨🇴TameArauca Department, Colombia

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

    Shares 19 of your 19 great-fit crops

    99%match
  3. 3

    🇨🇴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

    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

    98%match
  5. 5

    🇨🇴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

    96%match
  6. 6

    🇸🇱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
  7. 7

    🇻🇪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

    92%match
  8. 8

    🇻🇪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

    92%match
  9. 9

    🇱🇷TubmanburgBomi County, Liberia

    Zone 13a · No frost · 0 chill hours · 142 in rainZone 13a · No frost · 0 chill hours · 3,607 mm rain

    Shares 13 of your 19 great-fit crops

    92%match
  10. 10

    🇱🇷KakataMargibi County, Liberia

    Zone 13a · No frost · 0 chill hours · 128 in rainZone 13a · No frost · 0 chill hours · 3,253 mm rain

    Shares 15 of your 19 great-fit crops

    92%match
  11. 11

    🇱🇷ZwedruGrand Gedeh County, Liberia

    Zone 12b · No frost · 0 chill hours · 79 in rainZone 12b · No frost · 0 chill hours · 2,009 mm rain

    Shares 19 of your 19 great-fit crops

    92%match
  12. 12

    🇨🇩GemenaSud-Ubangi, Democratic Republic of the Congo

    Zone 12b · No frost · 0 chill hours · 56 in rainZone 12b · No frost · 0 chill hours · 1,429 mm rain

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

    91%match
  13. 13

    🇨🇮ParaBas-Sassandra District, Ivory Coast

    Zone 13a · No frost · 0 chill hours · 71 in rainZone 13a · No frost · 0 chill hours · 1,813 mm rain

    Shares 19 of your 19 great-fit crops

    90%match
  14. 14

    🇨🇩AketiBas-Uele, Democratic Republic of the Congo

    Zone 13a · No frost · 0 chill hours · 54 in rainZone 13a · No frost · 0 chill hours · 1,371 mm rain

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

    90%match
  15. 15

    🇨🇴VillavicencioMeta Department, Colombia

    Zone 12b · No frost · 0 chill hours · 121 in rainZone 12b · No frost · 0 chill hours · 3,070 mm rain

    Shares 16 of your 19 great-fit crops

    90%match
  16. 16

    🇨🇩BusingaNord-Ubangi, Democratic Republic of the Congo

    Zone 12b · No frost · 0 chill hours · 55 in rainZone 12b · No frost · 0 chill hours · 1,391 mm rain

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

    90%match
  17. 17

    🇨🇴AraucaArauca Department, Colombia

    Zone 13a · No frost · 0 chill hours · 69 in rainZone 13a · No frost · 0 chill hours · 1,763 mm rain

    Shares 16 of your 19 great-fit crops

    89%match
  18. 18

    🇮🇩Wonosari↻Seasons flipped. Yogyakarta, Indonesia

    Zone 13a · No frost · 0 chill hours · 88 in rainZone 13a · No frost · 0 chill hours · 2,231 mm rain

    Shares 19 of your 19 great-fit crops

    89%match
  19. 19

    🇨🇩BingaMongala, Democratic Republic of the Congo

    Zone 12b · No frost · 0 chill hours · 60 in rainZone 12b · No frost · 0 chill hours · 1,525 mm rain

    Shares 19 of your 19 great-fit crops

    89%match
  20. 20

    🇨🇩LisalaMongala, Democratic Republic of the Congo

    Zone 13a · No frost · 0 chill hours · 53 in rainZone 13a · No frost · 0 chill hours · 1,345 mm rain

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

    89%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 Aguazul: 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.