Climatch

Land with a climate like Ikeja

🇳🇬Ikeja, Lagos, Nigeria

The towns with the closest growing climate to Ikeja are Ijebu-Igbo, Nigeria (99% match), Ho and Konongo. About 475,000 sq mi of land in 18 countries matches 80% or better, most of it in Pará, Brazil, Kwilu, Democratic Republic of the Congo and Comoé District, Ivory Coast.The towns with the closest growing climate to Ikeja are Ijebu-Igbo, Nigeria (99% match), Ho and Konongo. About 1.2 million km² of land in 18 countries matches 80% or better, most of it in Pará, Brazil, Kwilu, Democratic Republic of the Congo and Comoé District, Ivory Coast.

Your growing climate

Zone 13a · No frost · 0 chill hours · 55 in rainZone 13a · No frost · 0 chill hours · 1,388 mm rain

What grows in Ikeja →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    23k sq mi59k km² matching 80% or better

    For example Jacareacanga (84), Novo Progresso (83)

  2. 2

    🇨🇩Kwilu, Democratic Republic of the Congo

    12k sq mi30k km² matching 80% or better

    For example Bandundu Province (86), Dibaya-Lubwe (84)

  3. 3

    🇨🇮Comoé District, Ivory Coast

    11k sq mi28k km² matching 80% or better

    For example Ebilassokro (96), Niablé (95)

  4. 4

    🇧🇷Rondônia, Brazil

    11k sq mi27k km² matching 80% or better

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

  5. 5

    🇨🇩Mai-Ndombe, Democratic Republic of the Congo

    9,900 sq mi26k km² matching 80% or better

    For example Mushie (84), Bolobo (83)

  6. 6

    🇨🇮Bas-Sassandra District, Ivory Coast

    9,200 sq mi24k km² matching 80% or better

    For example Soubré (92), Oupoyo (91)

  7. 7

    🇨🇮Lacs District, Ivory Coast

    8,300 sq mi22k km² matching 80% or better

    For example Dimbokro (90), Toumodi (88)

  8. 8

    🇧🇴Beni Department, Bolivia

    7,900 sq mi21k km² matching 80% or better

    For example Riberalta (87), Guayaramerín (85)

  9. 9

    🇳🇬Delta, Nigeria

    7,700 sq mi20k km² matching 80% or better

    For example Asaba (96), Kwale (94)

  10. 10

    🇳🇬Cross River State, Nigeria

    7,400 sq mi19k km² matching 80% or better

    For example Ugep (94), Ogoja (90)

  11. 11

    🇬🇭Volta, Ghana

    7,100 sq mi18k km² matching 80% or better

    For example Ho (98), Kpandu (98)

  12. 12

    🇬🇭Ashanti, Ghana

    7,100 sq mi18k km² matching 80% or better

    For example Konongo (98), Bekwai (97)

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

    🇳🇬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 18 great-fit crops

    99%match
  2. 2

    🇬🇭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 18 great-fit crops

    98%match
  3. 3

    🇬🇭KonongoAshanti, Ghana

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

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

    98%match
  4. 4

    🇧🇯AlladaAtlantique, Benin

    Zone 13a · No frost · 0 chill hours · 40 in rainZone 13a · No frost · 0 chill hours · 1,004 mm rain

    Shares 16 of your 18 great-fit crops

    98%match
  5. 5

    🇧🇯CotonouLittoral, Benin

    Zone 13b · No frost · 0 chill hours · 43 in rainZone 13b · No frost · 0 chill hours · 1,102 mm rain

    Shares 16 of your 18 great-fit crops

    97%match
  6. 6

    🇧🇯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 18 great-fit crops

    97%match
  7. 7

    🇬🇭KumasiAshanti, Ghana

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

    Shares 18 of your 18 great-fit crops

    97%match
  8. 8

    🇬🇭ObuaseAshanti, Ghana

    Zone 13a · No frost · 0 chill hours · 50 in rainZone 13a · No frost · 0 chill hours · 1,279 mm rain

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

    97%match
  9. 9

    🇬🇭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 18 great-fit crops · Also great there: tea

    96%match
  10. 10

    🇬🇭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 18 great-fit crops · Also great there: tea

    96%match
  11. 11

    🇬🇭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 18 great-fit crops

    96%match
  12. 12

    🇹🇬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 18 great-fit crops

    96%match
  13. 13

    🇳🇬OnitshaAnambra, Nigeria

    Zone 13a · No frost · 0 chill hours · 71 in rainZone 13a · No frost · 0 chill hours · 1,809 mm rain

    Shares 14 of your 18 great-fit crops

    96%match
  14. 14

    🇬🇭KoforiduaEastern, Ghana

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

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

    96%match
  15. 15

    🇨🇮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 18 great-fit crops

    95%match
  16. 16

    🇬🇭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 18 great-fit crops

    95%match
  17. 17

    🇳🇬Benin CityEdo State, Nigeria

    Zone 13a · No frost · 0 chill hours · 78 in rainZone 13a · No frost · 0 chill hours · 1,972 mm rain

    Shares 16 of your 18 great-fit crops

    95%match
  18. 18

    🇬🇭AkatsiVolta, Ghana

    Zone 13b · No frost · 0 chill hours · 37 in rainZone 13b · No frost · 0 chill hours · 948 mm rain

    Shares 16 of your 18 great-fit crops

    95%match
  19. 19

    🇬🇭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 18 great-fit crops · Also great there: macadamia

    95%match
  20. 20

    🇬🇭Twifu PrasoCentral, Ghana

    Zone 13a · No frost · 0 chill hours · 54 in rainZone 13a · No frost · 0 chill hours · 1,371 mm rain

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

    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 Ikeja: 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.