Climatch

Land with a climate like Sunyani

🇬🇭Sunyani, Bono, Ghana

The towns with the closest growing climate to Sunyani are Agnibilékrou, Ivory Coast (99% match), Ejura and Daoukro. About 697,000 sq mi of land in 20 countries matches 80% or better, most of it in Pará, Brazil, Kwilu, Democratic Republic of the Congo and East, Cameroon.The towns with the closest growing climate to Sunyani are Agnibilékrou, Ivory Coast (99% match), Ejura and Daoukro. About 1.8 million km² of land in 20 countries matches 80% or better, most of it in Pará, Brazil, Kwilu, Democratic Republic of the Congo and East, Cameroon.

Your growing climate

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

What grows in Sunyani →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    27k sq mi69k km² matching 80% or better

    For example Floresta do Araguaia (84), Redenção (83)

  2. 2

    🇨🇩Kwilu, Democratic Republic of the Congo

    22k sq mi58k km² matching 80% or better

    For example Kikwit (90), Masi-Manimba (89)

  3. 3

    🇨🇲East, Cameroon

    18k sq mi47k km² matching 80% or better

    For example Batouri (89), Bélabo (89)

  4. 4

    🇨🇩Kasai, Democratic Republic of the Congo

    18k sq mi45k km² matching 80% or better

    For example Luebo (90), Ilebo (86)

  5. 5

    🇨🇲Centre, Cameroon

    13k sq mi35k km² matching 80% or better

    For example Bafia (93), Mbandjok (92)

  6. 6

    🇨🇮Vallée du Bandama District, Ivory Coast

    13k sq mi34k km² matching 80% or better

    For example Sakassou (98), Bouaké (97)

  7. 7

    🇨🇩Lomami, Democratic Republic of the Congo

    12k sq mi31k km² matching 80% or better

    For example Lubao (84), Gandajika (81)

  8. 8

    🇨🇮Comoé District, Ivory Coast

    9,500 sq mi25k km² matching 80% or better

    For example Agnibilékrou (99), Abengourou (99)

  9. 9

    🇨🇮Lacs District, Ivory Coast

    9,200 sq mi24k km² matching 80% or better

    For example Daoukro (99), M’Bahiakro (99)

  10. 10

    🇬🇭Bono East, Ghana

    9,200 sq mi24k km² matching 80% or better

    For example Atebubu (98), Kintampo (97)

  11. 11

    🇧🇷Mato Grosso, Brazil

    9,100 sq mi24k km² matching 80% or better

    For example Colniza (81), Guarantã do Norte (80)

  12. 12

    🇳🇬Oyo State, Nigeria

    8,900 sq mi23k km² matching 80% or better

    For example Orita-Eruwa (99), Eruwa (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

    🇨🇮AgnibilékrouComoé District, Ivory Coast

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

    Shares 16 of your 16 great-fit crops

    99%match
  2. 2

    🇬🇭EjuraAshanti, Ghana

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

    Shares 16 of your 16 great-fit crops

    99%match
  3. 3

    🇨🇮DaoukroLacs District, Ivory Coast

    Zone 13a · No frost · 0 chill hours · 41 in rainZone 13a · No frost · 0 chill hours · 1,050 mm rain

    Shares 16 of your 16 great-fit crops

    99%match
  4. 4

    🇨🇮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 16 great-fit crops

    99%match
  5. 5

    🇨🇮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 16 of your 16 great-fit crops

    99%match
  6. 6

    🇨🇮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 16 great-fit crops

    99%match
  7. 7

    🇹🇬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 16 great-fit crops

    99%match
  8. 8

    🇧🇯AbomeyZou, Benin

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

    Shares 16 of your 16 great-fit crops

    99%match
  9. 9

    🇧🇯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 16 great-fit crops

    99%match
  10. 10

    🇳🇬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 16 great-fit crops

    99%match
  11. 11

    🇨🇮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 16 of your 16 great-fit crops

    99%match
  12. 12

    🇧🇯AplahouéKouffo, Benin

    Zone 13a · No frost · 0 chill hours · 38 in rainZone 13a · No frost · 0 chill hours · 953 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: table and raisin grapes

    99%match
  13. 13

    🇳🇬Ile-IfeOsun State, Nigeria

    Zone 13a · No frost · 0 chill hours · 54 in rainZone 13a · No frost · 0 chill hours · 1,375 mm rain

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

    98%match
  14. 14

    🇳🇬AbeokutaOgun State, Nigeria

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

    Shares 16 of your 16 great-fit crops

    98%match
  15. 15

    🇹🇬AtakpaméPlateaux, Togo

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

    Shares 16 of your 16 great-fit crops

    98%match
  16. 16

    🇳🇬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 16 great-fit crops · Also great there: banana

    98%match
  17. 17

    🇳🇬IganganOyo State, Nigeria

    Zone 13a · No frost · 0 chill hours · 43 in rainZone 13a · No frost · 0 chill hours · 1,098 mm rain

    Shares 15 of your 16 great-fit crops

    98%match
  18. 18

    🇳🇬OsogboOsun State, Nigeria

    Zone 12b · No frost · 0 chill hours · 51 in rainZone 12b · No frost · 0 chill hours · 1,294 mm rain

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

    98%match
  19. 19

    🇬🇭KumasiAshanti, Ghana

    Zone 13a · No frost · 0 chill hours · 52 in rainZone 13a · No frost · 0 chill hours · 1,320 mm rain

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

    98%match
  20. 20

    🇨🇮M’BattoComoé District, Ivory Coast

    Zone 13a · No frost · 0 chill hours · 41 in rainZone 13a · No frost · 0 chill hours · 1,033 mm rain

    Shares 16 of your 16 great-fit crops

    98%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 Sunyani: 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.