Climatch

Land with a climate like Shagamu

🇳🇬Shagamu, Ogun State, Nigeria

The towns with the closest growing climate to Shagamu are Kpandu, Ghana (99% match), Ikire and Pobé. About 636,000 sq mi of land in 17 countries matches 80% or better, most of it in Pará, Brazil, Kwilu, Democratic Republic of the Congo and Rondônia, Brazil.The towns with the closest growing climate to Shagamu are Kpandu, Ghana (99% match), Ikire and Pobé. About 1.6 million km² of land in 17 countries matches 80% or better, most of it in Pará, Brazil, Kwilu, Democratic Republic of the Congo and Rondônia, Brazil.

Your growing climate

Zone 13a · No frost · 0 chill hours · 54 in rainZone 13a · No frost · 0 chill hours · 1,365 mm rain

What grows in Shagamu →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    39k sq mi102k km² matching 80% or better

    For example Novo Progresso (86), Eldorado dos Carajás (86)

  2. 2

    🇨🇩Kwilu, Democratic Republic of the Congo

    20k sq mi52k km² matching 80% or better

    For example Bandundu Province (86), Kikwit (85)

  3. 3

    🇧🇷Rondônia, Brazil

    16k sq mi42k km² matching 80% or better

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

  4. 4

    🇨🇲Centre, Cameroon

    14k sq mi36k km² matching 80% or better

    For example Bafia (92), Obala (89)

  5. 5

    🇨🇩Kasai, Democratic Republic of the Congo

    11k sq mi29k km² matching 80% or better

    For example Ilebo (85), Luebo (84)

  6. 6

    🇨🇮Comoé District, Ivory Coast

    10k sq mi27k km² matching 80% or better

    For example Niablé (97), Ebilassokro (97)

  7. 7

    🇨🇮Lacs District, Ivory Coast

    9,200 sq mi24k km² matching 80% or better

    For example Daoukro (93), Dimbokro (92)

  8. 8

    🇨🇮Bas-Sassandra District, Ivory Coast

    8,900 sq mi23k km² matching 80% or better

    For example Soubré (92), Petitgoa I (92)

  9. 9

    🇨🇩Mai-Ndombe, Democratic Republic of the Congo

    8,700 sq mi22k km² matching 80% or better

    For example Mushie (84), Dungu (84)

  10. 10

    🇳🇬Cross River State, Nigeria

    8,000 sq mi21k km² matching 80% or better

    For example Ugep (96), Ogoja (94)

  11. 11

    🇧🇴Beni Department, Bolivia

    7,900 sq mi21k km² matching 80% or better

    For example Riberalta (85), Guayaramerín (84)

  12. 12

    🇳🇬Delta, Nigeria

    7,400 sq mi19k km² matching 80% or better

    For example Asaba (98), Ogwashi-Uku (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

    🇬🇭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 18 great-fit crops

    99%match
  2. 2

    🇳🇬IkireOsun State, Nigeria

    Zone 13a · No frost · 0 chill hours · 52 in rainZone 13a · No frost · 0 chill hours · 1,325 mm rain

    Shares 17 of your 18 great-fit crops

    99%match
  3. 3

    🇧🇯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

    99%match
  4. 4

    🇬🇭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

    99%match
  5. 5

    🇧🇯Porto-NovoOuémé, Benin

    Zone 13b · No frost · 0 chill hours · 45 in rainZone 13b · No frost · 0 chill hours · 1,147 mm rain

    Shares 16 of your 18 great-fit crops

    99%match
  6. 6

    🇹🇬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

    99%match
  7. 7

    🇬🇭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
  8. 8

    🇳🇬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 18 great-fit crops

    98%match
  9. 9

    🇳🇬OndoOndo State, Nigeria

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

    Shares 17 of your 18 great-fit crops · Also great there: macadamia, tea

    98%match
  10. 10

    🇳🇬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

    98%match
  11. 11

    🇬🇭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

    97%match
  12. 12

    🇬🇭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

    97%match
  13. 13

    🇳🇬UgaAnambra, Nigeria

    Zone 13a · No frost · 0 chill hours · 78 in rainZone 13a · No frost · 0 chill hours · 1,978 mm rain

    Shares 16 of your 18 great-fit crops · Also great there: tea

    97%match
  14. 14

    🇳🇬Ile-IfeOsun State, Nigeria

    Zone 13a · No frost · 0 chill hours · 54 in rainZone 13a · No frost · 0 chill hours · 1,375 mm rain

    Shares 18 of your 18 great-fit crops

    97%match
  15. 15

    🇳🇬AgborDelta, Nigeria

    Zone 13a · No frost · 0 chill hours · 75 in rainZone 13a · No frost · 0 chill hours · 1,915 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: tea, macadamia

    97%match
  16. 16

    🇳🇬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

    97%match
  17. 17

    🇬🇭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
  18. 18

    🇬🇭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
  19. 19

    🇬🇭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

    97%match
  20. 20

    🇧🇯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

    96%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 Shagamu: 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.