Climatch

Land with a climate like Banté

🇧🇯Banté, Collines, Benin

The towns with the closest growing climate to Banté are Tchaourou, Benin (99% match), Savé and Sotouboua. About 316,000 sq mi of land in 13 countries matches 80% or better, most of it in Vallée du Bandama District, Ivory Coast, Zanzan District, Ivory Coast and Benue State, Nigeria.The towns with the closest growing climate to Banté are Tchaourou, Benin (99% match), Savé and Sotouboua. About 817,000 km² of land in 13 countries matches 80% or better, most of it in Vallée du Bandama District, Ivory Coast, Zanzan 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 · 1,047 mm rain

What grows in Banté →

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 (94), Tortiya (94)

  2. 2

    🇨🇮Zanzan District, Ivory Coast

    14k sq mi35k km² matching 80% or better

    For example Flakièdougou (95), Bondoukou (93)

  3. 3

    🇳🇬Benue State, Nigeria

    13k sq mi35k km² matching 80% or better

    For example Igbor (94), Gboko (91)

  4. 4

    🇨🇮Savanes District, Ivory Coast

    12k sq mi31k km² matching 80% or better

    For example Dikodougou (93), Boundiali (87)

  5. 5

    🇳🇬Oyo State, Nigeria

    12k sq mi31k km² matching 80% or better

    For example Saki (99), Igbeti (99)

  6. 6

    🇳🇬Kwara State, Nigeria

    10k sq mi26k km² matching 80% or better

    For example Ilorin (99), Okuta (96)

  7. 7

    🇬🇭Bono East, Ghana

    9,200 sq mi24k km² matching 80% or better

    For example Yegyi (96), Kintampo (95)

  8. 8

    🇨🇩Tanganyika, Democratic Republic of the Congo

    8,900 sq mi23k km² matching 80% or better

    For example Manono (84), Kabalo (82)

  9. 9

    🇬🇭Savannah, Ghana

    8,600 sq mi22k km² matching 80% or better

    For example Salaga (96), Damongo (90)

  10. 10

    🇬🇭Northern, Ghana

    7,700 sq mi20k km² matching 80% or better

    For example Bimbila (95), Yendi (90)

  11. 11

    🇧🇯Collines, Benin

    7,100 sq mi18k km² matching 80% or better

    For example Savé (99), Dassa-Zoumè (99)

  12. 12

    🇧🇯Borgou, Benin

    5,600 sq mi15k km² matching 80% or better

    For example Tchaourou (99), Parakou (94)

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

    🇧🇯TchaourouBorgou, Benin

    Zone 12b · No frost · 0 chill hours · 42 in rainZone 12b · No frost · 0 chill hours · 1,069 mm rain

    Shares 15 of your 15 great-fit crops

    99%match
  2. 2

    🇧🇯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
  3. 3

    🇹🇬SotoubouaCentrale, Togo

    Zone 12b · No frost · 0 chill hours · 46 in rainZone 12b · No frost · 0 chill hours · 1,159 mm rain

    Shares 15 of your 15 great-fit crops

    99%match
  4. 4

    🇳🇬SakiOyo State, Nigeria

    Zone 12b · No frost · 0 chill hours · 45 in rainZone 12b · No frost · 0 chill hours · 1,131 mm rain

    Shares 15 of your 15 great-fit crops

    99%match
  5. 5

    🇧🇯Dassa-ZoumèCollines, Benin

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

    Shares 15 of your 15 great-fit crops

    99%match
  6. 6

    🇳🇬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

    99%match
  7. 7

    🇳🇬IgbetiOyo State, Nigeria

    Zone 12b · No frost · 0 chill hours · 44 in rainZone 12b · No frost · 0 chill hours · 1,120 mm rain

    Shares 15 of your 15 great-fit crops

    99%match
  8. 8

    🇳🇬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

    99%match
  9. 9

    🇹🇬SokodéCentrale, Togo

    Zone 12b · No frost · 0 chill hours · 48 in rainZone 12b · No frost · 0 chill hours · 1,217 mm rain

    Shares 15 of your 15 great-fit crops

    99%match
  10. 10

    🇳🇬KisiOyo State, Nigeria

    Zone 12b · No frost · 0 chill hours · 42 in rainZone 12b · No frost · 0 chill hours · 1,065 mm rain

    Shares 15 of your 15 great-fit crops

    97%match
  11. 11

    🇬🇭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

    96%match
  12. 12

    🇧🇯DjidjaZou, Benin

    Zone 13a · No frost · 0 chill hours · 38 in rainZone 13a · No frost · 0 chill hours · 956 mm rain

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

    96%match
  13. 13

    🇳🇬OkutaKwara State, Nigeria

    Zone 12b · No frost · 0 chill hours · 42 in rainZone 12b · No frost · 0 chill hours · 1,070 mm rain

    Shares 15 of your 15 great-fit crops

    96%match
  14. 14

    🇨🇮FlakièdougouZanzan District, Ivory Coast

    Zone 12b · No frost · 0 chill hours · 40 in rainZone 12b · No frost · 0 chill hours · 1,026 mm rain

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

    95%match
  15. 15

    🇳🇬LokojaKogi State, Nigeria

    Zone 12b · No frost · 0 chill hours · 47 in rainZone 12b · No frost · 0 chill hours · 1,205 mm rain

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

    95%match
  16. 16

    🇬🇭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

    95%match
  17. 17

    🇬🇭BimbilaNorthern, Ghana

    Zone 13a · No frost · 0 chill hours · 46 in rainZone 13a · No frost · 0 chill hours · 1,167 mm rain

    Shares 14 of your 15 great-fit crops

    95%match
  18. 18

    🇳🇬JebbaKwara State, Nigeria

    Zone 12b · No frost · 0 chill hours · 43 in rainZone 12b · No frost · 0 chill hours · 1,098 mm rain

    Shares 15 of your 15 great-fit crops

    95%match
  19. 19

    🇨🇮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

    94%match
  20. 20

    🇨🇮TortiyaVallée du Bandama District, Ivory Coast

    Zone 12b · No frost · 0 chill hours · 40 in rainZone 12b · No frost · 0 chill hours · 1,021 mm rain

    Shares 15 of your 15 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 Banté: 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.