Climatch

Land with a climate like Nkoranza

🇬🇭Nkoranza, Bono East, Ghana

The towns with the closest growing climate to Nkoranza are Japekrom, Ghana (99% match), Tanda and Agnibilékrou. About 912,000 sq mi of land in 23 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 Nkoranza are Japekrom, Ghana (99% match), Tanda and Agnibilékrou. About 2.4 million km² of land in 23 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 · 44 in rainZone 13a · No frost · 0 chill hours · 1,129 mm rain

What grows in Nkoranza →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    47k sq mi123k km² matching 80% or better

    For example Floresta do Araguaia (88), Redenção (88)

  2. 2

    🇧🇷Mato Grosso, Brazil

    27k sq mi71k km² matching 80% or better

    For example Colniza (84), Guarantã do Norte (84)

  3. 3

    🇨🇩Kwilu, Democratic Republic of the Congo

    22k sq mi56k km² matching 80% or better

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

  4. 4

    🇨🇲East, Cameroon

    19k sq mi49k km² matching 80% or better

    For example Bélabo (92), Batouri (92)

  5. 5

    🇨🇩Kasai, Democratic Republic of the Congo

    17k sq mi44k km² matching 80% or better

    For example Luebo (89), Tshikapa (87)

  6. 6

    🇨🇩Lomami, Democratic Republic of the Congo

    16k sq mi41k km² matching 80% or better

    For example Lubao (86), Gandajika (85)

  7. 7

    🇧🇷Tocantins, Brazil

    15k sq mi38k km² matching 80% or better

    For example Colinas do Tocantins (86), Araguaína (86)

  8. 8

    🇨🇮Vallée du Bandama District, Ivory Coast

    14k sq mi36k km² matching 80% or better

    For example Sakassou (98), Béoumi (98)

  9. 9

    🇨🇲Centre, Cameroon

    12k sq mi32k km² matching 80% or better

    For example Bafia (93), Nanga Eboko (93)

  10. 10

    🇨🇮Woroba, Ivory Coast

    12k sq mi30k km² matching 80% or better

    For example Séguéla (95), Mankono (95)

  11. 11

    🇳🇬Oyo State, Nigeria

    11k sq mi28k km² matching 80% or better

    For example Fiditi (99), Iseyin (99)

  12. 12

    🇨🇮Zanzan District, Ivory Coast

    9,500 sq mi25k km² matching 80% or better

    For example Tanda (99), Bondoukou (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

    🇬🇭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
  2. 2

    🇨🇮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
  3. 3

    🇨🇮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
  4. 4

    🇨🇮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
  5. 5

    🇳🇬IseyinOyo State, Nigeria

    Zone 13a · No frost · 0 chill hours · 45 in rainZone 13a · No frost · 0 chill hours · 1,148 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

    🇳🇬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
  8. 8

    🇨🇮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
  9. 9

    🇨🇮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
  10. 10

    🇹🇬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
  11. 11

    🇳🇬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 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

    🇬🇭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 16 great-fit crops

    99%match
  14. 14

    🇳🇬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 16 great-fit crops

    98%match
  15. 15

    🇬🇭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

    98%match
  16. 16

    🇳🇬Ado-EkitiEkiti State, Nigeria

    Zone 12b · No frost · 0 chill hours · 54 in rainZone 12b · No frost · 0 chill hours · 1,360 mm rain

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

    98%match
  17. 17

    🇧🇯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
  18. 18

    🇳🇬AkureOndo State, Nigeria

    Zone 13a · No frost · 0 chill hours · 57 in rainZone 13a · No frost · 0 chill hours · 1,447 mm rain

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

    98%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

    🇨🇮BéoumiVallée du Bandama District, Ivory Coast

    Zone 13a · No frost · 0 chill hours · 41 in rainZone 13a · No frost · 0 chill hours · 1,029 mm rain

    Shares 15 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 Nkoranza: 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.