Climatch

Land with a climate like Sakété

🇧🇯Sakété, Plateau, Benin

The towns with the closest growing climate to Sakété are Notsé, Togo (99% match), Abeokuta and Kpandu. About 318,000 sq mi of land in 14 countries matches 80% or better, most of it in Kwilu, Democratic Republic of the Congo, Comoé District, Ivory Coast and Lacs District, Ivory Coast.The towns with the closest growing climate to Sakété are Notsé, Togo (99% match), Abeokuta and Kpandu. About 824,000 km² of land in 14 countries matches 80% or better, most of it in Kwilu, Democratic Republic of the Congo, Comoé District, Ivory Coast and Lacs District, Ivory Coast.

Your growing climate

Zone 13a · No frost · 0 chill hours · 44 in rainZone 13a · No frost · 0 chill hours · 1,105 mm rain

What grows in Sakété →

Regions with the most land like yours

  1. 1

    🇨🇩Kwilu, Democratic Republic of the Congo

    13k sq mi35k km² matching 80% or better

    For example Bandundu Province (85), Kikwit (83)

  2. 2

    🇨🇮Comoé District, Ivory Coast

    10k sq mi27k km² matching 80% or better

    For example Arrah (98), Niablé (98)

  3. 3

    🇨🇮Lacs District, Ivory Coast

    9,200 sq mi24k km² matching 80% or better

    For example Dimbokro (97), Daoukro (96)

  4. 4

    🇨🇮Sassandra-Marahoue, Ivory Coast

    8,600 sq mi22k km² matching 80% or better

    For example Konéfla (93), Bouaflé (92)

  5. 5

    🇳🇬Oyo State, Nigeria

    7,400 sq mi19k km² matching 80% or better

    For example Igbo-Ora (99), Eruwa (98)

  6. 6

    🇬🇭Volta, Ghana

    7,100 sq mi18k km² matching 80% or better

    For example Kpandu (99), Ho (99)

  7. 7

    🇬🇭Ashanti, Ghana

    7,100 sq mi18k km² matching 80% or better

    For example Konongo (98), Tepa (97)

  8. 8

    🇬🇭Bono East, Ghana

    7,100 sq mi18k km² matching 80% or better

    For example Nkoranza (94), Atebubu (92)

  9. 9

    🇹🇬Plateaux, Togo

    6,500 sq mi17k km² matching 80% or better

    For example Notsé (99), Kpalimé (97)

  10. 10

    🇳🇬Cross River State, Nigeria

    6,200 sq mi16k km² matching 80% or better

    For example Ogoja (88), Ugep (88)

  11. 11

    🇻🇪Apure, Venezuela

    5,900 sq mi15k km² matching 80% or better

    For example San Fernando de Apure (80), Elorza (80)

  12. 12

    🇨🇩Kasai, Democratic Republic of the Congo

    5,400 sq mi14k km² matching 80% or better

    For example Luebo (83), Ilebo (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

    🇹🇬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 16 great-fit crops

    99%match
  2. 2

    🇳🇬AbeokutaOgun State, Nigeria

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

    Shares 16 of your 16 great-fit crops

    99%match
  3. 3

    🇬🇭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 16 great-fit crops

    99%match
  4. 4

    🇧🇯LokossaMono, Benin

    Zone 13a · No frost · 0 chill hours · 36 in rainZone 13a · No frost · 0 chill hours · 926 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: table and raisin grapes

    99%match
  5. 5

    🇳🇬AgegeLagos, Nigeria

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

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

    99%match
  6. 6

    🇧🇯OuidahAtlantique, Benin

    Zone 13b · No frost · 0 chill hours · 40 in rainZone 13b · No frost · 0 chill hours · 1,025 mm rain

    Shares 16 of your 16 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 16 great-fit crops

    99%match
  8. 8

    🇳🇬Ijebu OdeOgun State, Nigeria

    Zone 13a · No frost · 0 chill hours · 60 in rainZone 13a · No frost · 0 chill hours · 1,529 mm rain

    Shares 14 of your 16 great-fit crops · Also great there: cacao, banana, tea

    99%match
  9. 9

    🇬🇭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 16 great-fit crops

    98%match
  10. 10

    🇧🇯AbomeyZou, Benin

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

    Shares 16 of your 16 great-fit crops

    98%match
  11. 11

    🇹🇬LoméMaritime, Togo

    Zone 13a · No frost · 0 chill hours · 34 in rainZone 13a · No frost · 0 chill hours · 859 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: table and raisin grapes

    98%match
  12. 12

    🇨🇮AbengourouComoé District, Ivory Coast

    Zone 13a · No frost · 0 chill hours · 46 in rainZone 13a · No frost · 0 chill hours · 1,160 mm rain

    Shares 16 of your 16 great-fit crops

    98%match
  13. 13

    🇬🇭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 16 great-fit crops

    98%match
  14. 14

    🇬🇭KonongoAshanti, Ghana

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

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

    98%match
  15. 15

    🇨🇮EbilassokroComoé District, Ivory Coast

    Zone 13a · No frost · 0 chill hours · 48 in rainZone 13a · No frost · 0 chill hours · 1,229 mm rain

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

    98%match
  16. 16

    🇳🇬Orita-EruwaOyo State, Nigeria

    Zone 13a · No frost · 0 chill hours · 44 in rainZone 13a · No frost · 0 chill hours · 1,113 mm rain

    Shares 15 of your 16 great-fit crops

    98%match
  17. 17

    🇨🇮AgnibilékrouComoé District, Ivory Coast

    Zone 13a · No frost · 0 chill hours · 44 in rainZone 13a · No frost · 0 chill hours · 1,124 mm rain

    Shares 16 of your 16 great-fit crops

    97%match
  18. 18

    🇨🇮BongouanouComoé District, Ivory Coast

    Zone 13a · No frost · 0 chill hours · 40 in rainZone 13a · No frost · 0 chill hours · 1,017 mm rain

    Shares 16 of your 16 great-fit crops

    97%match
  19. 19

    🇳🇬LagosNigeria

    Zone 13b · No frost · 0 chill hours · 57 in rainZone 13b · No frost · 0 chill hours · 1,458 mm rain

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

    97%match
  20. 20

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

    97%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 Sakété: 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.