Climatch

Land with a climate like Vogan

🇹🇬Vogan, Maritime, Togo

The towns with the closest growing climate to Vogan are Cotonou, Benin (99% match), Sakété and Accra. About 165,000 sq mi of land in 10 countries matches 80% or better, most of it in Comoé District, Ivory Coast, Bas-Sassandra District, Ivory Coast and Lacs District, Ivory Coast.The towns with the closest growing climate to Vogan are Cotonou, Benin (99% match), Sakété and Accra. About 428,000 km² of land in 10 countries matches 80% or better, most of it in Comoé District, Ivory Coast, Bas-Sassandra District, Ivory Coast and Lacs District, Ivory Coast.

Your growing climate

Zone 13a · No frost · 0 chill hours · 37 in rainZone 13a · No frost · 0 chill hours · 943 mm rain

What grows in Vogan →

Regions with the most land like yours

  1. 1

    🇨🇮Comoé District, Ivory Coast

    12k sq mi30k km² matching 80% or better

    For example M’Batto (97), Arrah (97)

  2. 2

    🇨🇮Bas-Sassandra District, Ivory Coast

    9,800 sq mi25k km² matching 80% or better

    For example Guéyo (92), Mabéhiri (92)

  3. 3

    🇨🇮Lacs District, Ivory Coast

    9,200 sq mi24k km² matching 80% or better

    For example Dimbokro (94), Toumodi (94)

  4. 4

    🇬🇭Volta, Ghana

    7,100 sq mi18k km² matching 80% or better

    For example Akatsi (99), Keta (99)

  5. 5

    🇬🇭Ashanti, Ghana

    7,100 sq mi18k km² matching 80% or better

    For example Konongo (94), Bekwai (94)

  6. 6

    🇬🇭Western, Ghana

    6,300 sq mi16k km² matching 80% or better

    For example Shama Junction (88), Takoradi (87)

  7. 7

    🇹🇬Plateaux, Togo

    5,300 sq mi14k km² matching 80% or better

    For example Notsé (97), Kpalimé (94)

  8. 8

    🇳🇬Ondo State, Nigeria

    4,500 sq mi12k km² matching 80% or better

    For example Ondo (83), Akure (80)

  9. 9

    🇳🇬Ogun State, Nigeria

    4,200 sq mi11k km² matching 80% or better

    For example Ado-Odo (99), River Atuwara (97)

  10. 10

    🇳🇬Oyo State, Nigeria

    4,100 sq mi11k km² matching 80% or better

    For example Igbo-Ora (89), Orita-Eruwa (88)

  11. 11

    🇨🇩Kwilu, Democratic Republic of the Congo

    3,000 sq mi7,700 km² matching 80% or better

    For example Dibaya-Lubwe (80), Mangai (80)

  12. 12

    🇨🇩Mai-Ndombe, Democratic Republic of the Congo

    2,700 sq mi7,000 km² matching 80% or better

    For example Bolobo (81), Dungu (80)

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

    🇧🇯CotonouLittoral, Benin

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

    Shares 16 of your 17 great-fit crops

    99%match
  2. 2

    🇧🇯SakétéPlateau, Benin

    Zone 13a · No frost · 0 chill hours · 44 in rainZone 13a · No frost · 0 chill hours · 1,105 mm rain

    Shares 16 of your 17 great-fit crops

    99%match
  3. 3

    🇬🇭AccraGreater Accra, Ghana

    Zone 13a · No frost · 0 chill hours · 31 in rainZone 13a · No frost · 0 chill hours · 791 mm rain

    Shares 17 of your 17 great-fit crops

    98%match
  4. 4

    🇬🇭AnlogaVolta, Ghana

    Zone 13b · No frost · 0 chill hours · 33 in rainZone 13b · No frost · 0 chill hours · 836 mm rain

    Shares 17 of your 17 great-fit crops

    98%match
  5. 5

    🇨🇮AgbovilleLagunes District, Ivory Coast

    Zone 13a · No frost · 0 chill hours · 47 in rainZone 13a · No frost · 0 chill hours · 1,184 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: banana

    98%match
  6. 6

    🇨🇮AdzopéLagunes District, Ivory Coast

    Zone 13a · No frost · 0 chill hours · 48 in rainZone 13a · No frost · 0 chill hours · 1,228 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: banana

    97%match
  7. 7

    🇨🇮NdouciLagunes District, Ivory Coast

    Zone 13a · No frost · 0 chill hours · 45 in rainZone 13a · No frost · 0 chill hours · 1,139 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: banana

    97%match
  8. 8

    🇹🇬NotséPlateaux, Togo

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

    Shares 16 of your 17 great-fit crops

    97%match
  9. 9

    🇨🇮ArrahComoé District, Ivory Coast

    Zone 13a · No frost · 0 chill hours · 41 in rainZone 13a · No frost · 0 chill hours · 1,040 mm rain

    Shares 16 of your 17 great-fit crops

    97%match
  10. 10

    🇳🇬IfoOgun State, Nigeria

    Zone 13a · No frost · 0 chill hours · 49 in rainZone 13a · No frost · 0 chill hours · 1,235 mm rain

    Shares 16 of your 17 great-fit crops

    96%match
  11. 11

    🇧🇯KlouékanmèKouffo, Benin

    Zone 13a · No frost · 0 chill hours · 38 in rainZone 13a · No frost · 0 chill hours · 957 mm rain

    Shares 17 of your 17 great-fit crops

    96%match
  12. 12

    🇬🇭WinnebaCentral, Ghana

    Zone 13a · No frost · 0 chill hours · 35 in rainZone 13a · No frost · 0 chill hours · 900 mm rain

    Shares 17 of your 17 great-fit crops

    96%match
  13. 13

    🇬🇭HoVolta, Ghana

    Zone 13a · No frost · 0 chill hours · 46 in rainZone 13a · No frost · 0 chill hours · 1,157 mm rain

    Shares 16 of your 17 great-fit crops

    96%match
  14. 14

    🇨🇮BongouanouComoé District, Ivory Coast

    Zone 13a · No frost · 0 chill hours · 40 in rainZone 13a · No frost · 0 chill hours · 1,017 mm rain

    Shares 16 of your 17 great-fit crops

    96%match
  15. 15

    🇨🇮AhouanouLagunes District, Ivory Coast

    Zone 13a · No frost · 0 chill hours · 50 in rainZone 13a · No frost · 0 chill hours · 1,274 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: banana, macadamia, cacao

    95%match
  16. 16

    🇨🇮AbengourouComoé District, Ivory Coast

    Zone 13a · No frost · 0 chill hours · 46 in rainZone 13a · No frost · 0 chill hours · 1,160 mm rain

    Shares 16 of your 17 great-fit crops

    95%match
  17. 17

    🇬🇭Cape CoastCentral, Ghana

    Zone 13a · No frost · 0 chill hours · 44 in rainZone 13a · No frost · 0 chill hours · 1,124 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: banana, macadamia

    95%match
  18. 18

    🇨🇮NiabléComoé District, Ivory Coast

    Zone 13a · No frost · 0 chill hours · 47 in rainZone 13a · No frost · 0 chill hours · 1,196 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: banana

    95%match
  19. 19

    🇬🇭KpanduVolta, Ghana

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

    Shares 16 of your 17 great-fit crops

    94%match
  20. 20

    🇨🇮DimbokroLacs District, Ivory Coast

    Zone 13a · No frost · 0 chill hours · 39 in rainZone 13a · No frost · 0 chill hours · 1,000 mm rain

    Shares 15 of your 17 great-fit crops

    94%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 Vogan: 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.