Climatch

Land with a climate like Dassa-Zoumè

🇧🇯Dassa-Zoumè, Collines, Benin

The towns with the closest growing climate to Dassa-Zoumè are Atebubu, Ghana (99% match), Dambai and Ouessé. About 318,000 sq mi of land in 11 countries matches 80% or better, most of it in Vallée du Bandama District, Ivory Coast, Benue State, Nigeria and Zanzan District, Ivory Coast.The towns with the closest growing climate to Dassa-Zoumè are Atebubu, Ghana (99% match), Dambai and Ouessé. About 823,000 km² of land in 11 countries matches 80% or better, most of it in Vallée du Bandama District, Ivory Coast, Benue State, Nigeria and Zanzan District, Ivory Coast.

Your growing climate

Zone 13a · No frost · 0 chill hours · 41 in rainZone 13a · No frost · 0 chill hours · 1,036 mm rain

What grows in Dassa-Zoumè →

Regions with the most land like yours

  1. 1

    🇨🇮Vallée du Bandama District, Ivory Coast

    14k sq mi36k km² matching 80% or better

    For example Dabakala (96), Katiola (96)

  2. 2

    🇳🇬Benue State, Nigeria

    13k sq mi35k km² matching 80% or better

    For example Igbor (93), Katsina-Ala (92)

  3. 3

    🇨🇮Zanzan District, Ivory Coast

    12k sq mi31k km² matching 80% or better

    For example Bondoukou (96), Tanda (96)

  4. 4

    🇳🇬Oyo State, Nigeria

    12k sq mi31k km² matching 80% or better

    For example Igangan (99), Orita-Eruwa (99)

  5. 5

    🇳🇬Kogi State, Nigeria

    9,800 sq mi25k km² matching 80% or better

    For example Ogaminana (98), Ajaokuta (96)

  6. 6

    🇨🇮Woroba, Ivory Coast

    9,800 sq mi25k km² matching 80% or better

    For example Mankono (93), Dianra (90)

  7. 7

    🇬🇭Bono East, Ghana

    9,200 sq mi24k km² matching 80% or better

    For example Atebubu (99), Yegyi (98)

  8. 8

    🇧🇷Mato Grosso, Brazil

    8,200 sq mi21k km² matching 80% or better

    For example Peixoto de Azevedo (80), Vila Rica (80)

  9. 9

    🇧🇯Collines, Benin

    7,400 sq mi19k km² matching 80% or better

    For example Ouessé (99), Banté (99)

  10. 10

    🇬🇭Savannah, Ghana

    6,800 sq mi18k km² matching 80% or better

    For example Salaga (94), Damongo (86)

  11. 11

    🇹🇬Plateaux, Togo

    5,600 sq mi15k km² matching 80% or better

    For example Anié (99), Atakpamé (99)

  12. 12

    🇬🇭Northern, Ghana

    5,300 sq mi14k km² matching 80% or better

    For example Bimbila (94), Yendi (83)

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

    🇬🇭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
  2. 2

    🇬🇭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

    99%match
  3. 3

    🇧🇯OuesséCollines, Benin

    Zone 13a · No frost · 0 chill hours · 39 in rainZone 13a · No frost · 0 chill hours · 993 mm rain

    Shares 15 of your 15 great-fit crops

    99%match
  4. 4

    🇧🇯BantéCollines, Benin

    Zone 13a · No frost · 0 chill hours · 41 in rainZone 13a · No frost · 0 chill hours · 1,047 mm rain

    Shares 15 of your 15 great-fit crops

    99%match
  5. 5

    🇹🇬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
  6. 6

    🇳🇬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

    98%match
  7. 7

    🇬🇭YegyiBono East, Ghana

    Zone 13a · No frost · 0 chill hours · 44 in rainZone 13a · No frost · 0 chill hours · 1,127 mm rain

    Shares 14 of your 15 great-fit crops

    98%match
  8. 8

    🇳🇬OgaminanaKogi State, Nigeria

    Zone 12b · No frost · 0 chill hours · 47 in rainZone 12b · No frost · 0 chill hours · 1,187 mm rain

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

    98%match
  9. 9

    🇬🇭KintampoBono East, Ghana

    Zone 13a · No frost · 0 chill hours · 43 in rainZone 13a · No frost · 0 chill hours · 1,081 mm rain

    Shares 15 of your 15 great-fit crops

    98%match
  10. 10

    🇳🇬IlorinKwara State, Nigeria

    Zone 12b · No frost · 0 chill hours · 45 in rainZone 12b · No frost · 0 chill hours · 1,138 mm rain

    Shares 15 of your 15 great-fit crops

    97%match
  11. 11

    🇧🇯PobéPlateau, Benin

    Zone 13a · No frost · 0 chill hours · 41 in rainZone 13a · No frost · 0 chill hours · 1,052 mm rain

    Shares 15 of your 15 great-fit crops

    97%match
  12. 12

    🇳🇬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
  13. 13

    🇨🇮BondoukouZanzan District, Ivory Coast

    Zone 13a · No frost · 0 chill hours · 41 in rainZone 13a · No frost · 0 chill hours · 1,043 mm rain

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

    96%match
  14. 14

    🇨🇮DabakalaVallée du Bandama District, Ivory Coast

    Zone 13a · No frost · 0 chill hours · 37 in rainZone 13a · No frost · 0 chill hours · 941 mm rain

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

    96%match
  15. 15

    🇬🇭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

    96%match
  16. 16

    🇳🇬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

    96%match
  17. 17

    🇨🇮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

    96%match
  18. 18

    🇳🇬EgbeKogi State, Nigeria

    Zone 12b · No frost · 0 chill hours · 45 in rainZone 12b · No frost · 0 chill hours · 1,150 mm rain

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

    96%match
  19. 19

    🇳🇬IdahKogi State, Nigeria

    Zone 13a · No frost · 0 chill hours · 52 in rainZone 13a · No frost · 0 chill hours · 1,322 mm rain

    Shares 14 of your 15 great-fit crops

    96%match
  20. 20

    🇨🇮KatiolaVallée du Bandama District, Ivory Coast

    Zone 13a · No frost · 0 chill hours · 39 in rainZone 13a · No frost · 0 chill hours · 992 mm rain

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

    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 Dassa-Zoumè: 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.