Climatch

Land with a climate like Ejura

🇬🇭Ejura, Ashanti, Ghana

The towns with the closest growing climate to Ejura are Sunyani, Ghana (99% match), Wankyi and Japekrom. About 970,000 sq mi of land in 20 countries matches 80% or better, most of it in Pará, Brazil, Mato Grosso, Brazil and Kwilu, Democratic Republic of the Congo.The towns with the closest growing climate to Ejura are Sunyani, Ghana (99% match), Wankyi and Japekrom. About 2.5 million km² of land in 20 countries matches 80% or better, most of it in Pará, Brazil, Mato Grosso, Brazil and Kwilu, Democratic Republic of the Congo.

Your growing climate

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

What grows in Ejura →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    50k sq mi128k km² matching 80% or better

    For example Floresta do Araguaia (90), Redenção (89)

  2. 2

    🇧🇷Mato Grosso, Brazil

    37k sq mi97k km² matching 80% or better

    For example Colniza (87), Guarantã do Norte (87)

  3. 3

    🇨🇩Kwilu, Democratic Republic of the Congo

    22k sq mi58k km² matching 80% or better

    For example Kikwit (91), Masi-Manimba (90)

  4. 4

    🇧🇷Rondônia, Brazil

    21k sq mi55k km² matching 80% or better

    For example Rolim de Moura do Guaporé (86), São Francisco do Guaporé (83)

  5. 5

    🇨🇩Kasai, Democratic Republic of the Congo

    18k sq mi46k km² matching 80% or better

    For example Luebo (90), Tshikapa (88)

  6. 6

    🇨🇲East, Cameroon

    16k sq mi42k km² matching 80% or better

    For example Batouri (90), Bélabo (89)

  7. 7

    🇨🇩Lomami, Democratic Republic of the Congo

    14k sq mi37k km² matching 80% or better

    For example Lubao (85), Gandajika (84)

  8. 8

    🇨🇮Vallée du Bandama District, Ivory Coast

    14k sq mi35k km² matching 80% or better

    For example Sakassou (97), Béoumi (96)

  9. 9

    🇨🇲Centre, Cameroon

    12k sq mi32k km² matching 80% or better

    For example Bafia (94), Nanga Eboko (92)

  10. 10

    🇳🇬Oyo State, Nigeria

    11k sq mi28k km² matching 80% or better

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

  11. 11

    🇳🇬Benue State, Nigeria

    9,800 sq mi25k km² matching 80% or better

    For example Otukpa (94), Katsina-Ala (88)

  12. 12

    🇨🇮Woroba, Ivory Coast

    9,800 sq mi25k km² matching 80% or better

    For example Séguéla (94), Mankono (93)

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

    🇬🇭SunyaniBono, Ghana

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

    Shares 16 of your 16 great-fit crops

    99%match
  2. 2

    🇬🇭WankyiBono, Ghana

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

    Shares 16 of your 16 great-fit crops

    99%match
  3. 3

    🇬🇭JapekromBono, Ghana

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

    Shares 16 of your 16 great-fit crops

    99%match
  4. 4

    🇨🇮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
  5. 5

    🇳🇬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
  6. 6

    🇧🇯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
  7. 7

    🇨🇮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
  8. 8

    🇬🇭TepaAshanti, Ghana

    Zone 13a · No frost · 0 chill hours · 47 in rainZone 13a · No frost · 0 chill hours · 1,202 mm rain

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

    99%match
  9. 9

    🇨🇮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
  10. 10

    🇳🇬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

    99%match
  11. 11

    🇬🇭MimAhafo, Ghana

    Zone 13a · No frost · 0 chill hours · 48 in rainZone 13a · No frost · 0 chill hours · 1,208 mm rain

    Shares 16 of your 16 great-fit crops

    99%match
  12. 12

    🇳🇬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

    99%match
  13. 13

    🇬🇭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 16 great-fit crops

    99%match
  14. 14

    🇹🇬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

    99%match
  15. 15

    🇨🇮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
  16. 16

    🇧🇯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
  17. 17

    🇨🇮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
  18. 18

    🇧🇯KétouPlateau, Benin

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

    Shares 15 of your 16 great-fit crops

    99%match
  19. 19

    🇹🇬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

    98%match
  20. 20

    🇧🇯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

    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 Ejura: 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.