Climatch

Land with a climate like Atakpamé

🇹🇬Atakpamé, Plateaux, Togo

The towns with the closest growing climate to Atakpamé are Abomey, Benin (99% match), Igbo-Ora and Kétou. About 785,000 sq mi of land in 20 countries matches 80% or better, most of it in Pará, Brazil, Kwilu, Democratic Republic of the Congo and Lomami, Democratic Republic of the Congo.The towns with the closest growing climate to Atakpamé are Abomey, Benin (99% match), Igbo-Ora and Kétou. About 2.0 million km² of land in 20 countries matches 80% or better, most of it in Pará, Brazil, Kwilu, Democratic Republic of the Congo and Lomami, Democratic Republic of the Congo.

Your growing climate

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

What grows in Atakpamé →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    36k sq mi94k km² matching 80% or better

    For example São Geraldo do Araguaia (86), Eldorado dos Carajás (85)

  2. 2

    🇨🇩Kwilu, Democratic Republic of the Congo

    16k sq mi42k km² matching 80% or better

    For example Kikwit (87), Masi-Manimba (85)

  3. 3

    🇨🇩Lomami, Democratic Republic of the Congo

    14k sq mi37k km² matching 80% or better

    For example Lubao (87), Gandajika (82)

  4. 4

    🇨🇩Kasai, Democratic Republic of the Congo

    14k sq mi36k km² matching 80% or better

    For example Luebo (86), Tshikapa (84)

  5. 5

    🇨🇮Vallée du Bandama District, Ivory Coast

    14k sq mi36k km² matching 80% or better

    For example Béoumi (99), Sakassou (99)

  6. 6

    🇧🇷Mato Grosso, Brazil

    14k sq mi35k km² matching 80% or better

    For example Colniza (82), Guarantã do Norte (81)

  7. 7

    🇨🇲East, Cameroon

    13k sq mi32k km² matching 80% or better

    For example Batouri (87), Bélabo (86)

  8. 8

    🇨🇮Woroba, Ivory Coast

    11k sq mi28k km² matching 80% or better

    For example Mankono (97), Séguéla (96)

  9. 9

    🇳🇬Oyo State, Nigeria

    11k sq mi28k km² matching 80% or better

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

  10. 10

    🇳🇬Benue State, Nigeria

    10k sq mi26k km² matching 80% or better

    For example Otukpa (94), Katsina-Ala (87)

  11. 11

    🇧🇷Tocantins, Brazil

    9,800 sq mi25k km² matching 80% or better

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

  12. 12

    🇨🇮Zanzan District, Ivory Coast

    9,500 sq mi25k km² matching 80% or better

    For example Tanda (98), Bondoukou (98)

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

    🇧🇯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

    99%match
  2. 2

    🇳🇬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 16 great-fit crops

    99%match
  3. 3

    🇧🇯KétouPlateau, Benin

    Zone 13a · No frost · 0 chill hours · 41 in rainZone 13a · No frost · 0 chill hours · 1,031 mm rain

    Shares 15 of your 16 great-fit crops

    99%match
  4. 4

    🇨🇮BéoumiVallée du Bandama District, Ivory Coast

    Zone 13a · No frost · 0 chill hours · 41 in rainZone 13a · No frost · 0 chill hours · 1,029 mm rain

    Shares 15 of your 16 great-fit crops

    99%match
  5. 5

    🇧🇯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 16 great-fit crops

    99%match
  6. 6

    🇨🇮BouakéVallée du Bandama District, Ivory Coast

    Zone 13a · No frost · 0 chill hours · 41 in rainZone 13a · No frost · 0 chill hours · 1,034 mm rain

    Shares 15 of your 16 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 16 of your 16 great-fit crops

    99%match
  8. 8

    🇬🇭JapekromBono, Ghana

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

    Shares 16 of your 16 great-fit crops

    99%match
  9. 9

    🇨🇮ZuénoulaSassandra-Marahoue, Ivory Coast

    Zone 13a · No frost · 0 chill hours · 43 in rainZone 13a · No frost · 0 chill hours · 1,080 mm rain

    Shares 15 of your 16 great-fit crops

    99%match
  10. 10

    🇳🇬IwoOsun State, Nigeria

    Zone 13a · No frost · 0 chill hours · 48 in rainZone 13a · No frost · 0 chill hours · 1,226 mm rain

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

    99%match
  11. 11

    🇧🇯AplahouéKouffo, Benin

    Zone 13a · No frost · 0 chill hours · 38 in rainZone 13a · No frost · 0 chill hours · 953 mm rain

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

    98%match
  12. 12

    🇬🇭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 16 great-fit crops

    98%match
  13. 13

    🇬🇭SunyaniBono, Ghana

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

    Shares 16 of your 16 great-fit crops

    98%match
  14. 14

    🇨🇮M’BahiakroLacs District, Ivory Coast

    Zone 13a · No frost · 0 chill hours · 40 in rainZone 13a · No frost · 0 chill hours · 1,006 mm rain

    Shares 15 of your 16 great-fit crops

    98%match
  15. 15

    🇨🇮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 16 of your 16 great-fit crops

    98%match
  16. 16

    🇨🇮KatiolaVallée du Bandama District, Ivory Coast

    Zone 13a · No frost · 0 chill hours · 39 in rainZone 13a · No frost · 0 chill hours · 992 mm rain

    Shares 16 of your 16 great-fit crops

    98%match
  17. 17

    🇬🇭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 16 great-fit crops

    98%match
  18. 18

    🇨🇮BondoukouZanzan District, Ivory Coast

    Zone 13a · No frost · 0 chill hours · 41 in rainZone 13a · No frost · 0 chill hours · 1,043 mm rain

    Shares 16 of your 16 great-fit crops

    98%match
  19. 19

    🇨🇮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

    98%match
  20. 20

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

    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 Atakpamé: 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.