Climatch

Land with a climate like Igangan

🇳🇬Igangan, Oyo State, Nigeria

The towns with the closest growing climate to Igangan are Oyo, Nigeria (99% match), Ibadan and Abomey. About 546,000 sq mi of land in 16 countries matches 80% or better, most of it in Pará, Brazil, Mato Grosso, Brazil and Vallée du Bandama District, Ivory Coast.The towns with the closest growing climate to Igangan are Oyo, Nigeria (99% match), Ibadan and Abomey. About 1.4 million km² of land in 16 countries matches 80% or better, most of it in Pará, Brazil, Mato Grosso, Brazil and Vallée du Bandama District, Ivory Coast.

Your growing climate

Zone 13a · No frost · 0 chill hours · 43 in rainZone 13a · No frost · 0 chill hours · 1,098 mm rain

What grows in Igangan →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    35k sq mi91k km² matching 80% or better

    For example Floresta do Araguaia (85), Santa Maria das Barreiras (85)

  2. 2

    🇧🇷Mato Grosso, Brazil

    26k sq mi66k km² matching 80% or better

    For example Guarantã do Norte (86), Peixoto de Azevedo (86)

  3. 3

    🇨🇮Vallée du Bandama District, Ivory Coast

    14k sq mi36k km² matching 80% or better

    For example Katiola (95), Bouaké (95)

  4. 4

    🇳🇬Benue State, Nigeria

    12k sq mi31k km² matching 80% or better

    For example Otukpa (95), Katsina-Ala (94)

  5. 5

    🇧🇷Tocantins, Brazil

    12k sq mi30k km² matching 80% or better

    For example Colinas do Tocantins (84), Araguaína (82)

  6. 6

    🇳🇬Oyo State, Nigeria

    12k sq mi30k km² matching 80% or better

    For example Oyo (99), Ibadan (99)

  7. 7

    🇨🇮Zanzan District, Ivory Coast

    10k sq mi27k km² matching 80% or better

    For example Tanda (98), Bondoukou (97)

  8. 8

    🇨🇮Woroba, Ivory Coast

    10k sq mi26k km² matching 80% or better

    For example Mankono (93), Séguéla (92)

  9. 9

    🇳🇬Kogi State, Nigeria

    9,800 sq mi25k km² matching 80% or better

    For example Idah (98), Ogaminana (98)

  10. 10

    🇬🇭Bono East, Ghana

    9,200 sq mi24k km² matching 80% or better

    For example Atebubu (99), Kintampo (99)

  11. 11

    🇨🇲Centre, Cameroon

    7,700 sq mi20k km² matching 80% or better

    For example Bafia (90), Nanga Eboko (84)

  12. 12

    🇧🇯Collines, Benin

    7,400 sq mi19k km² matching 80% or better

    For example Dassa-Zoumè (99), Savé (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

    🇳🇬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 15 great-fit crops

    99%match
  2. 2

    🇳🇬IbadanOyo State, Nigeria

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

    Shares 15 of your 15 great-fit crops · Also great there: banana

    99%match
  3. 3

    🇧🇯AbomeyZou, Benin

    Zone 13a · No frost · 0 chill hours · 39 in rainZone 13a · No frost · 0 chill hours · 1,000 mm rain

    Shares 15 of your 15 great-fit crops · Also great there: avocado

    99%match
  4. 4

    🇬🇭AtebubuBono East, Ghana

    Zone 13a · No frost · 0 chill hours · 45 in rainZone 13a · No frost · 0 chill hours · 1,138 mm rain

    Shares 15 of your 15 great-fit crops

    99%match
  5. 5

    🇧🇯Dassa-ZoumèCollines, Benin

    Zone 13a · No frost · 0 chill hours · 41 in rainZone 13a · No frost · 0 chill hours · 1,036 mm rain

    Shares 15 of your 15 great-fit crops

    99%match
  6. 6

    🇳🇬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 15 great-fit crops

    99%match
  7. 7

    🇬🇭EjuraAshanti, Ghana

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

    Shares 15 of your 15 great-fit crops · Also great there: avocado

    99%match
  8. 8

    🇧🇯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 15 great-fit crops

    99%match
  9. 9

    🇹🇬AtakpaméPlateaux, Togo

    Zone 13a · No frost · 0 chill hours · 46 in rainZone 13a · No frost · 0 chill hours · 1,178 mm rain

    Shares 15 of your 15 great-fit crops · Also great there: avocado

    99%match
  10. 10

    🇳🇬OsogboOsun State, Nigeria

    Zone 12b · No frost · 0 chill hours · 51 in rainZone 12b · No frost · 0 chill hours · 1,294 mm rain

    Shares 15 of your 15 great-fit crops · Also great there: avocado, banana

    99%match
  11. 11

    🇬🇭WankyiBono, Ghana

    Zone 13a · No frost · 0 chill hours · 44 in rainZone 13a · No frost · 0 chill hours · 1,117 mm rain

    Shares 15 of your 15 great-fit crops · Also great there: avocado

    99%match
  12. 12

    🇧🇯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 15 great-fit crops

    99%match
  13. 13

    🇳🇬AuchiEdo State, Nigeria

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

    Shares 15 of your 15 great-fit crops · Also great there: avocado

    99%match
  14. 14

    🇬🇭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 15 great-fit crops

    99%match
  15. 15

    🇬🇭NkoranzaBono East, Ghana

    Zone 13a · No frost · 0 chill hours · 44 in rainZone 13a · No frost · 0 chill hours · 1,129 mm rain

    Shares 15 of your 15 great-fit crops · Also great there: avocado

    99%match
  16. 16

    🇳🇬IdahKogi State, Nigeria

    Zone 13a · No frost · 0 chill hours · 52 in rainZone 13a · No frost · 0 chill hours · 1,322 mm rain

    Shares 14 of your 15 great-fit crops

    98%match
  17. 17

    🇬🇭SunyaniBono, Ghana

    Zone 13a · No frost · 0 chill hours · 44 in rainZone 13a · No frost · 0 chill hours · 1,122 mm rain

    Shares 15 of your 15 great-fit crops · Also great there: avocado

    98%match
  18. 18

    🇬🇭JapekromBono, Ghana

    Zone 13a · No frost · 0 chill hours · 42 in rainZone 13a · No frost · 0 chill hours · 1,061 mm rain

    Shares 15 of your 15 great-fit crops · Also great there: avocado

    98%match
  19. 19

    🇬🇭DambaiOti, Ghana

    Zone 13a · No frost · 0 chill hours · 48 in rainZone 13a · No frost · 0 chill hours · 1,222 mm rain

    Shares 14 of your 15 great-fit crops

    98%match
  20. 20

    🇨🇮TandaZanzan District, Ivory Coast

    Zone 13a · No frost · 0 chill hours · 42 in rainZone 13a · No frost · 0 chill hours · 1,060 mm rain

    Shares 15 of your 15 great-fit crops · Also great there: avocado

    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 Igangan: 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.