Climatch

Land with a climate like Kétou

🇧🇯Kétou, Plateau, Benin

The towns with the closest growing climate to Kétou are Igbo-Ora, Nigeria (99% match), Atakpamé and Notsé. About 369,000 sq mi of land in 15 countries matches 80% or better, most of it in Pará, Brazil, Vallée du Bandama District, Ivory Coast and Benue State, Nigeria.The towns with the closest growing climate to Kétou are Igbo-Ora, Nigeria (99% match), Atakpamé and Notsé. About 957,000 km² of land in 15 countries matches 80% or better, most of it in Pará, Brazil, Vallée du Bandama District, Ivory Coast and Benue State, Nigeria.

Your growing climate

Zone 13a · No frost · 0 chill hours · 41 in rainZone 13a · No frost · 0 chill hours · 1,031 mm rain

What grows in Kétou →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    18k sq mi48k km² matching 80% or better

    For example Santa Maria das Barreiras (82), São Geraldo do Araguaia (82)

  2. 2

    🇨🇮Vallée du Bandama District, Ivory Coast

    14k sq mi35k km² matching 80% or better

    For example Sakassou (95), Béoumi (95)

  3. 3

    🇳🇬Benue State, Nigeria

    11k sq mi28k km² matching 80% or better

    For example Otukpa (92), Katsina-Ala (89)

  4. 4

    🇳🇬Oyo State, Nigeria

    11k sq mi28k km² matching 80% or better

    For example Igbo-Ora (99), Orita-Eruwa (99)

  5. 5

    🇳🇬Kogi State, Nigeria

    9,800 sq mi25k km² matching 80% or better

    For example Ogaminana (96), Idah (96)

  6. 6

    🇨🇮Zanzan District, Ivory Coast

    9,500 sq mi25k km² matching 80% or better

    For example Tanda (97), Bondoukou (96)

  7. 7

    🇨🇮Lacs District, Ivory Coast

    9,200 sq mi24k km² matching 80% or better

    For example M’Bahiakro (98), Daoukro (97)

  8. 8

    🇬🇭Bono East, Ghana

    9,200 sq mi24k km² matching 80% or better

    For example Atebubu (99), Nkoranza (97)

  9. 9

    🇧🇯Collines, Benin

    7,400 sq mi19k km² matching 80% or better

    For example Savé (99), Savalou (98)

  10. 10

    🇬🇭Ashanti, Ghana

    7,100 sq mi18k km² matching 80% or better

    For example Ejura (99), Tepa (94)

  11. 11

    🇬🇭Volta, Ghana

    6,500 sq mi17k km² matching 80% or better

    For example Kpandu (97), Ho (92)

  12. 12

    🇹🇬Plateaux, Togo

    6,500 sq mi17k km² matching 80% or better

    For example Atakpamé (99), Anié (99)

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

    🇳🇬Igbo-OraOyo State, Nigeria

    Zone 13a · No frost · 0 chill hours · 43 in rainZone 13a · No frost · 0 chill hours · 1,102 mm rain

    Shares 15 of your 15 great-fit crops

    99%match
  2. 2

    🇹🇬AtakpaméPlateaux, Togo

    Zone 13a · No frost · 0 chill hours · 46 in rainZone 13a · No frost · 0 chill hours · 1,178 mm rain

    Shares 15 of your 15 great-fit crops · Also great there: avocado

    99%match
  3. 3

    🇹🇬NotséPlateaux, Togo

    Zone 13a · No frost · 0 chill hours · 42 in rainZone 13a · No frost · 0 chill hours · 1,074 mm rain

    Shares 15 of your 15 great-fit crops · Also great there: avocado

    99%match
  4. 4

    🇬🇭AtebubuBono East, Ghana

    Zone 13a · No frost · 0 chill hours · 45 in rainZone 13a · No frost · 0 chill hours · 1,138 mm rain

    Shares 15 of your 15 great-fit crops

    99%match
  5. 5

    🇧🇯SavéCollines, Benin

    Zone 13a · No frost · 0 chill hours · 42 in rainZone 13a · No frost · 0 chill hours · 1,058 mm rain

    Shares 15 of your 15 great-fit crops

    99%match
  6. 6

    🇧🇯DogboKouffo, Benin

    Zone 13a · No frost · 0 chill hours · 35 in rainZone 13a · No frost · 0 chill hours · 881 mm rain

    Shares 15 of your 15 great-fit crops · Also great there: table and raisin grapes, avocado

    99%match
  7. 7

    🇳🇬IbadanOyo State, Nigeria

    Zone 13a · No frost · 0 chill hours · 50 in rainZone 13a · No frost · 0 chill hours · 1,263 mm rain

    Shares 15 of your 15 great-fit crops · Also great there: banana

    99%match
  8. 8

    🇬🇭EjuraAshanti, Ghana

    Zone 13a · No frost · 0 chill hours · 46 in rainZone 13a · No frost · 0 chill hours · 1,176 mm rain

    Shares 15 of your 15 great-fit crops · Also great there: avocado

    99%match
  9. 9

    🇳🇬IseyinOyo State, Nigeria

    Zone 13a · No frost · 0 chill hours · 45 in rainZone 13a · No frost · 0 chill hours · 1,148 mm rain

    Shares 15 of your 15 great-fit crops

    98%match
  10. 10

    🇧🇯SavalouCollines, Benin

    Zone 13a · No frost · 0 chill hours · 40 in rainZone 13a · No frost · 0 chill hours · 1,014 mm rain

    Shares 15 of your 15 great-fit crops

    98%match
  11. 11

    🇳🇬OyoOyo State, Nigeria

    Zone 13a · No frost · 0 chill hours · 46 in rainZone 13a · No frost · 0 chill hours · 1,163 mm rain

    Shares 15 of your 15 great-fit crops

    98%match
  12. 12

    🇬🇭DambaiOti, Ghana

    Zone 13a · No frost · 0 chill hours · 48 in rainZone 13a · No frost · 0 chill hours · 1,222 mm rain

    Shares 14 of your 15 great-fit crops

    98%match
  13. 13

    🇨🇮M’BahiakroLacs District, Ivory Coast

    Zone 13a · No frost · 0 chill hours · 40 in rainZone 13a · No frost · 0 chill hours · 1,006 mm rain

    Shares 15 of your 15 great-fit crops

    98%match
  14. 14

    🇬🇭JapekromBono, Ghana

    Zone 13a · No frost · 0 chill hours · 42 in rainZone 13a · No frost · 0 chill hours · 1,061 mm rain

    Shares 15 of your 15 great-fit crops · Also great there: avocado

    97%match
  15. 15

    🇬🇭SunyaniBono, Ghana

    Zone 13a · No frost · 0 chill hours · 44 in rainZone 13a · No frost · 0 chill hours · 1,122 mm rain

    Shares 15 of your 15 great-fit crops · Also great there: avocado

    97%match
  16. 16

    🇬🇭WankyiBono, Ghana

    Zone 13a · No frost · 0 chill hours · 44 in rainZone 13a · No frost · 0 chill hours · 1,117 mm rain

    Shares 15 of your 15 great-fit crops · Also great there: avocado

    97%match
  17. 17

    🇬🇭KpanduVolta, Ghana

    Zone 13a · No frost · 0 chill hours · 47 in rainZone 13a · No frost · 0 chill hours · 1,194 mm rain

    Shares 15 of your 15 great-fit crops · Also great there: avocado

    97%match
  18. 18

    🇧🇯AlladaAtlantique, Benin

    Zone 13a · No frost · 0 chill hours · 40 in rainZone 13a · No frost · 0 chill hours · 1,004 mm rain

    Shares 15 of your 15 great-fit crops · Also great there: avocado

    97%match
  19. 19

    🇨🇮TandaZanzan District, Ivory Coast

    Zone 13a · No frost · 0 chill hours · 42 in rainZone 13a · No frost · 0 chill hours · 1,060 mm rain

    Shares 15 of your 15 great-fit crops · Also great there: avocado

    97%match
  20. 20

    🇳🇬OgbomosoOyo State, Nigeria

    Zone 12b · No frost · 0 chill hours · 46 in rainZone 12b · No frost · 0 chill hours · 1,167 mm rain

    Shares 15 of your 15 great-fit crops

    97%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 Kétou: 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.