Climatch

Land with a climate like Okene

🇳🇬Okene, Kogi State, Nigeria

The towns with the closest growing climate to Okene are Ila Orangun, Nigeria (99% match), Ado-Ekiti and Egbe. About 915,000 sq mi of land in 18 countries matches 80% or better, most of it in Mato Grosso, Brazil, Pará, Brazil and Maranhão, Brazil.The towns with the closest growing climate to Okene are Ila Orangun, Nigeria (99% match), Ado-Ekiti and Egbe. About 2.4 million km² of land in 18 countries matches 80% or better, most of it in Mato Grosso, Brazil, Pará, Brazil and Maranhão, Brazil.

Your growing climate

Zone 12b · No frost · 0 chill hours · 48 in rainZone 12b · No frost · 0 chill hours · 1,223 mm rain

What grows in Okene →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso, Brazil

    61k sq mi159k km² matching 80% or better

    For example Colíder (86), Vila Rica (86)

  2. 2

    🇧🇷Pará, Brazil

    39k sq mi101k km² matching 80% or better

    For example Santa Maria das Barreiras (88), Conceição do Araguaia (86)

  3. 3

    🇧🇷Maranhão, Brazil

    37k sq mi97k km² matching 80% or better

    For example Carolina (90), Riachão (88)

  4. 4

    🇨🇩Tanganyika, Democratic Republic of the Congo

    22k sq mi56k km² matching 80% or better

    For example Kabalo (90), Kongolo (87)

  5. 5

    🇨🇩Lomami, Democratic Republic of the Congo

    18k sq mi46k km² matching 80% or better

    For example Lubao (86), Gandajika (86)

  6. 6

    🇨🇲East, Cameroon

    15k sq mi39k km² matching 80% or better

    For example Bélabo (91), Batouri (88)

  7. 7

    🇨🇮Vallée du Bandama District, Ivory Coast

    14k sq mi36k km² matching 80% or better

    For example Katiola (93), Fronan (92)

  8. 8

    🇳🇬Benue State, Nigeria

    12k sq mi31k km² matching 80% or better

    For example Otukpa (99), Igbor (93)

  9. 9

    🇳🇬Oyo State, Nigeria

    12k sq mi31k km² matching 80% or better

    For example Ogbomoso (99), Iseyin (98)

  10. 10

    🇨🇮Woroba, Ivory Coast

    12k sq mi30k km² matching 80% or better

    For example Mankono (93), Séguéla (92)

  11. 11

    🇨🇫Ombella-M'Poko, Central African Republic

    11k sq mi28k km² matching 80% or better

    For example Bégoua (86), Boali (85)

  12. 12

    🇦🇴Luanda Norte, Angola

    9,800 sq mi25k km² matching 80% or better

    For example Cassanguidi (83), Chitato (82)

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

    🇳🇬Ila OrangunOsun State, Nigeria

    Zone 12b · No frost · 0 chill hours · 50 in rainZone 12b · No frost · 0 chill hours · 1,280 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: wheat

    99%match
  2. 2

    🇳🇬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 17 of your 17 great-fit crops · Also great there: banana, cacao

    99%match
  3. 3

    🇳🇬EgbeKogi State, Nigeria

    Zone 12b · No frost · 0 chill hours · 45 in rainZone 12b · No frost · 0 chill hours · 1,150 mm rain

    Shares 16 of your 17 great-fit crops

    99%match
  4. 4

    🇳🇬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 17 great-fit crops

    99%match
  5. 5

    🇳🇬NsukkaEnugu State, Nigeria

    Zone 13a · No frost · 0 chill hours · 62 in rainZone 13a · No frost · 0 chill hours · 1,585 mm rain

    Shares 16 of your 17 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 17 great-fit crops

    98%match
  7. 7

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

    97%match
  8. 8

    🇳🇬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 17 great-fit crops

    97%match
  9. 9

    🇳🇬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 17 great-fit crops

    97%match
  10. 10

    🇳🇬AkureOndo State, Nigeria

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

    Shares 17 of your 17 great-fit crops · Also great there: banana, cacao, tea

    97%match
  11. 11

    🇳🇬OwoOndo State, Nigeria

    Zone 12b · No frost · 0 chill hours · 57 in rainZone 12b · No frost · 0 chill hours · 1,438 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: banana, cacao, tea

    97%match
  12. 12

    🇳🇬IgbohoOyo State, Nigeria

    Zone 12b · No frost · 0 chill hours · 43 in rainZone 12b · No frost · 0 chill hours · 1,097 mm rain

    Shares 15 of your 17 great-fit crops

    97%match
  13. 13

    🇳🇬IwoOsun State, Nigeria

    Zone 13a · No frost · 0 chill hours · 48 in rainZone 13a · No frost · 0 chill hours · 1,226 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: banana

    96%match
  14. 14

    🇳🇬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 17 great-fit crops

    96%match
  15. 15

    🇳🇬UromiEdo State, Nigeria

    Zone 12b · No frost · 0 chill hours · 65 in rainZone 12b · No frost · 0 chill hours · 1,645 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: cacao, banana, tea

    96%match
  16. 16

    🇨🇮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 17 great-fit crops

    96%match
  17. 17

    🇬🇭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 17 great-fit crops

    95%match
  18. 18

    🇹🇬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 17 great-fit crops

    95%match
  19. 19

    🇧🇯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 17 great-fit crops

    95%match
  20. 20

    🇬🇭TechimanBono East, Ghana

    Zone 13a · No frost · 0 chill hours · 46 in rainZone 13a · No frost · 0 chill hours · 1,169 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: wheat

    95%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 Okene: 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.