Climatch

Land with a climate like Konongo

🇬🇭Konongo, Ashanti, Ghana

The towns with the closest growing climate to Konongo are Bibiani, Ghana (99% match), Tepa and Mim. About 1.0 million sq mi of land in 22 countries matches 80% or better, most of it in Pará, Brazil, Rondônia, Brazil and Kwilu, Democratic Republic of the Congo.The towns with the closest growing climate to Konongo are Bibiani, Ghana (99% match), Tepa and Mim. About 2.7 million km² of land in 22 countries matches 80% or better, most of it in Pará, Brazil, Rondônia, Brazil and Kwilu, Democratic Republic of the Congo.

Your growing climate

Zone 13a · No frost · 0 chill hours · 50 in rainZone 13a · No frost · 0 chill hours · 1,263 mm rain

What grows in Konongo →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    34k sq mi87k km² matching 80% or better

    For example Parauapebas (86), Novo Progresso (85)

  2. 2

    🇧🇷Rondônia, Brazil

    26k sq mi68k km² matching 80% or better

    For example Nova Mamoré (85), Guajará Mirim (84)

  3. 3

    🇨🇩Kwilu, Democratic Republic of the Congo

    26k sq mi67k km² matching 80% or better

    For example Bandundu Province (92), Dibaya-Lubwe (92)

  4. 4

    🇨🇩Mai-Ndombe, Democratic Republic of the Congo

    24k sq mi63k km² matching 80% or better

    For example Mushie (92), Dungu (91)

  5. 5

    🇨🇲East, Cameroon

    19k sq mi50k km² matching 80% or better

    For example Yokadouma (87), Batouri (86)

  6. 6

    🇨🇲Centre, Cameroon

    19k sq mi49k km² matching 80% or better

    For example Obala (94), Mbandjok (93)

  7. 7

    🇨🇩Mongala, Democratic Republic of the Congo

    18k sq mi46k km² matching 80% or better

    For example Lisala (86), Bumba (83)

  8. 8

    🇧🇷Acre, Brazil

    17k sq mi45k km² matching 80% or better

    For example Plácido de Castro (85), Brasiléia (84)

  9. 9

    🇨🇮Bas-Sassandra District, Ivory Coast

    13k sq mi33k km² matching 80% or better

    For example Yabayo (99), Soubré (99)

  10. 10

    🇨🇬Likouala, Republic of the Congo

    12k sq mi32k km² matching 80% or better

    For example Impfondo (88), Bétou (86)

  11. 11

    🇨🇮Comoé District, Ivory Coast

    12k sq mi30k km² matching 80% or better

    For example Ebilassokro (99), Niablé (99)

  12. 12

    🇧🇴Beni Department, Bolivia

    11k sq mi27k km² matching 80% or better

    For example Riberalta (86), Guayaramerín (85)

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

    🇬🇭BibianiWestern North, Ghana

    Zone 13a · No frost · 0 chill hours · 54 in rainZone 13a · No frost · 0 chill hours · 1,361 mm rain

    Shares 18 of your 19 great-fit crops · Also great there: tea

    99%match
  2. 2

    🇬🇭TepaAshanti, Ghana

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

    Shares 17 of your 19 great-fit crops

    99%match
  3. 3

    🇬🇭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 19 great-fit crops

    99%match
  4. 4

    🇬🇭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 19 great-fit crops

    99%match
  5. 5

    🇬🇭DunkwaCentral, Ghana

    Zone 13a · No frost · 0 chill hours · 50 in rainZone 13a · No frost · 0 chill hours · 1,277 mm rain

    Shares 19 of your 19 great-fit crops

    99%match
  6. 6

    🇬🇭AnyinamEastern, Ghana

    Zone 13a · No frost · 0 chill hours · 53 in rainZone 13a · No frost · 0 chill hours · 1,352 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: tea

    99%match
  7. 7

    🇬🇭KoforiduaEastern, Ghana

    Zone 13a · No frost · 0 chill hours · 49 in rainZone 13a · No frost · 0 chill hours · 1,256 mm rain

    Shares 19 of your 19 great-fit crops

    99%match
  8. 8

    🇬🇭HohoeVolta, Ghana

    Zone 13a · No frost · 0 chill hours · 52 in rainZone 13a · No frost · 0 chill hours · 1,333 mm rain

    Shares 18 of your 19 great-fit crops

    99%match
  9. 9

    🇨🇮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 19 great-fit crops

    99%match
  10. 10

    🇨🇮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 17 of your 19 great-fit crops

    99%match
  11. 11

    🇬🇭Akim OdaEastern, Ghana

    Zone 13a · No frost · 0 chill hours · 53 in rainZone 13a · No frost · 0 chill hours · 1,358 mm rain

    Shares 18 of your 19 great-fit crops · Also great there: tea

    99%match
  12. 12

    🇨🇮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 19 great-fit crops

    99%match
  13. 13

    🇳🇬Ijebu-IgboOgun State, Nigeria

    Zone 13a · No frost · 0 chill hours · 57 in rainZone 13a · No frost · 0 chill hours · 1,441 mm rain

    Shares 18 of your 19 great-fit crops

    99%match
  14. 14

    🇨🇮SoubréBas-Sassandra District, Ivory Coast

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

    Shares 19 of your 19 great-fit crops

    99%match
  15. 15

    🇳🇬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 19 great-fit crops

    98%match
  16. 16

    🇬🇭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 19 great-fit crops

    98%match
  17. 17

    🇹🇬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 19 great-fit crops

    98%match
  18. 18

    🇳🇬Ijebu OdeOgun State, Nigeria

    Zone 13a · No frost · 0 chill hours · 60 in rainZone 13a · No frost · 0 chill hours · 1,529 mm rain

    Shares 16 of your 19 great-fit crops · Also great there: tea

    98%match
  19. 19

    🇳🇬OndoOndo State, Nigeria

    Zone 13a · No frost · 0 chill hours · 61 in rainZone 13a · No frost · 0 chill hours · 1,538 mm rain

    Shares 18 of your 19 great-fit crops · Also great there: tea

    98%match
  20. 20

    🇨🇮IssiaSassandra-Marahoue, Ivory Coast

    Zone 13a · No frost · 0 chill hours · 49 in rainZone 13a · No frost · 0 chill hours · 1,252 mm rain

    Shares 18 of your 19 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 Konongo: 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.