Climatch

Land with a climate like Ado-Ekiti

🇳🇬Ado-Ekiti, Ekiti State, Nigeria

The towns with the closest growing climate to Ado-Ekiti are Inisa, Nigeria (99% match), Uromi and Nsukka. About 1.3 million sq mi of land in 22 countries matches 80% or better, most of it in Mato Grosso, Brazil, Pará, Brazil and Rondônia, Brazil.The towns with the closest growing climate to Ado-Ekiti are Inisa, Nigeria (99% match), Uromi and Nsukka. About 3.3 million km² of land in 22 countries matches 80% or better, most of it in Mato Grosso, Brazil, Pará, Brazil and Rondônia, Brazil.

Your growing climate

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

What grows in Ado-Ekiti →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso, Brazil

    90k sq mi234k km² matching 80% or better

    For example Colniza (91), Aripuanã (87)

  2. 2

    🇧🇷Pará, Brazil

    62k sq mi161k km² matching 80% or better

    For example Floresta do Araguaia (90), Redenção (90)

  3. 3

    🇧🇷Rondônia, Brazil

    58k sq mi150k km² matching 80% or better

    For example Rolim de Moura do Guaporé (89), São Francisco do Guaporé (86)

  4. 4

    🇨🇩Kwilu, Democratic Republic of the Congo

    26k sq mi66k km² matching 80% or better

    For example Kikwit (92), Masi-Manimba (92)

  5. 5

    🇨🇲East, Cameroon

    24k sq mi61k km² matching 80% or better

    For example Bélabo (97), Batouri (95)

  6. 6

    🇨🇩Lomami, Democratic Republic of the Congo

    19k sq mi50k km² matching 80% or better

    For example Lubao (92), Gandajika (92)

  7. 7

    🇨🇩Kasai, Democratic Republic of the Congo

    18k sq mi48k km² matching 80% or better

    For example Luebo (91), Tshikapa (89)

  8. 8

    🇨🇲Centre, Cameroon

    16k sq mi42k km² matching 80% or better

    For example Bafia (97), Nanga Eboko (97)

  9. 9

    🇨🇮Vallée du Bandama District, Ivory Coast

    13k sq mi34k km² matching 80% or better

    For example Sakassou (94), Bouaké (93)

  10. 10

    🇨🇮Woroba, Ivory Coast

    12k sq mi31k km² matching 80% or better

    For example Séguéla (95), Mankono (93)

  11. 11

    🇨🇮Montagnes, Ivory Coast

    11k sq mi28k km² matching 80% or better

    For example Bangolo Tahouake (96), Bléniméouin (95)

  12. 12

    🇳🇬Oyo State, Nigeria

    11k sq mi28k km² matching 80% or better

    For example Fiditi (99), Iseyin (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

    🇳🇬InisaOsun State, Nigeria

    Zone 12b · No frost · 0 chill hours · 49 in rainZone 12b · No frost · 0 chill hours · 1,235 mm rain

    Shares 17 of your 19 great-fit crops

    99%match
  2. 2

    🇳🇬UromiEdo State, Nigeria

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

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

    99%match
  3. 3

    🇳🇬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 19 great-fit crops

    99%match
  4. 4

    🇳🇬AuchiEdo State, Nigeria

    Zone 13a · No frost · 0 chill hours · 57 in rainZone 13a · No frost · 0 chill hours · 1,443 mm rain

    Shares 16 of your 19 great-fit crops

    99%match
  5. 5

    🇳🇬GbonganOsun State, Nigeria

    Zone 13a · No frost · 0 chill hours · 52 in rainZone 13a · No frost · 0 chill hours · 1,310 mm rain

    Shares 17 of your 19 great-fit crops

    99%match
  6. 6

    🇳🇬OffaKwara State, Nigeria

    Zone 12b · No frost · 0 chill hours · 49 in rainZone 12b · No frost · 0 chill hours · 1,243 mm rain

    Shares 16 of your 19 great-fit crops

    99%match
  7. 7

    🇳🇬OkeneKogi State, Nigeria

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

    Shares 17 of your 19 great-fit crops

    99%match
  8. 8

    🇬🇭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 19 great-fit crops · Also great there: wheat

    99%match
  9. 9

    🇳🇬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 19 great-fit crops

    99%match
  10. 10

    🇬🇭EjuraAshanti, Ghana

    Zone 13a · No frost · 0 chill hours · 46 in rainZone 13a · No frost · 0 chill hours · 1,176 mm rain

    Shares 16 of your 19 great-fit crops

    97%match
  11. 11

    🇨🇲BafiaCentre, Cameroon

    Zone 13a · No frost · 0 chill hours · 59 in rainZone 13a · No frost · 0 chill hours · 1,498 mm rain

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

    97%match
  12. 12

    🇹🇬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 19 great-fit crops

    97%match
  13. 13

    🇨🇲BélaboEast, Cameroon

    Zone 12b · No frost · 0 chill hours · 54 in rainZone 12b · No frost · 0 chill hours · 1,362 mm rain

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

    97%match
  14. 14

    🇨🇲Nanga EbokoCentre, Cameroon

    Zone 12b · No frost · 0 chill hours · 56 in rainZone 12b · No frost · 0 chill hours · 1,429 mm rain

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

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

    97%match
  16. 16

    🇹🇬BadouPlateaux, Togo

    Zone 13a · No frost · 0 chill hours · 56 in rainZone 13a · No frost · 0 chill hours · 1,418 mm rain

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

    97%match
  17. 17

    🇳🇬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 19 great-fit crops

    97%match
  18. 18

    🇳🇬IbadanOyo State, Nigeria

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

    Shares 16 of your 19 great-fit crops

    96%match
  19. 19

    🇳🇬ObuduCross River State, Nigeria

    Zone 13a · No frost · 0 chill hours · 73 in rainZone 13a · No frost · 0 chill hours · 1,863 mm rain

    Shares 15 of your 19 great-fit crops

    96%match
  20. 20

    🇳🇬EnuguEnugu State, Nigeria

    Zone 13a · No frost · 0 chill hours · 69 in rainZone 13a · No frost · 0 chill hours · 1,754 mm rain

    Shares 14 of your 19 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 Ado-Ekiti: 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.