Climatch

Land with a climate like Tetu

🇰🇪Tetu, Nyeri County, Kenya

The towns with the closest growing climate to Tetu are Kikuyu, Kenya (97% match), Narok and Nakuru. About 16,000 sq mi of land in 7 countries matches 80% or better, most of it in Narok County, Kenya, Nakuru County, Kenya and Laikipia, Kenya.The towns with the closest growing climate to Tetu are Kikuyu, Kenya (97% match), Narok and Nakuru. About 42,000 km² of land in 7 countries matches 80% or better, most of it in Narok County, Kenya, Nakuru County, Kenya and Laikipia, Kenya.

Your growing climate

Zone 11a · No frost · 0 chill hours · 37 in rainZone 11a · No frost · 0 chill hours · 951 mm rain

What grows in Tetu →

Regions with the most land like yours

  1. 1

    🇰🇪Narok County, Kenya

    3,000 sq mi7,700 km² matching 80% or better

    For example Narok (90)

  2. 2

    🇰🇪Nakuru County, Kenya

    1,800 sq mi4,600 km² matching 80% or better

    For example Nakuru (90), Njoro (85)

  3. 3

    🇰🇪Laikipia, Kenya

    1,500 sq mi3,900 km² matching 80% or better

  4. 4

    🇹🇿Kilimanjaro, Tanzania

    900 sq mi2,300 km² matching 80% or better

    For example Tarakea (84)

  5. 5

    🇺🇬Western Region, Uganda

    600 sq mi1,500 km² matching 80% or better

    For example Kabale (77), Kanungu (77)

  6. 6

    🇩🇴La Vega, Dominican Republic

    600 sq mi1,500 km² matching 80% or better

    For example Constanza (79)

  7. 7

    🇹🇿Arusha, Tanzania

    300 sq mi800 km² matching 80% or better

    For example Kingori (72), Usa River (66)

  8. 8

    🇵🇪Amazonas, Peru

    300 sq mi800 km² matching 80% or better

    For example Chachapoyas (75)

  9. 9

    🇨🇴Norte de Santander Department, Colombia

    300 sq mi800 km² matching 80% or better

    For example Pamplona (73)

  10. 10

    🇻🇪Mérida, Venezuela

    300 sq mi800 km² matching 80% or better

    For example Bailadores (82), Tabay (75)

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

    🇰🇪KikuyuKiambu County, Kenya

    Zone 11a · No frost · 4 chill hours · 34 in rainZone 11a · No frost · 4 chill hours · 876 mm rain

    Shares 14 of your 14 great-fit crops · Also great there: fig, table and raisin grapes

    97%match
  2. 2

    🇰🇪NarokNarok County, Kenya

    Zone 11a · No frost · 8 chill hours · 27 in rainZone 11a · No frost · 8 chill hours · 692 mm rain

    Shares 12 of your 14 great-fit crops

    90%match
  3. 3

    🇰🇪NakuruNakuru County, Kenya

    Zone 11a · No frost · 0 chill hours · 30 in rainZone 11a · No frost · 0 chill hours · 773 mm rain

    Shares 11 of your 14 great-fit crops · Also great there: fig, table and raisin grapes

    90%match
  4. 4

    🇹🇿TarakeaKilimanjaro, Tanzania

    Zone 11a · No frost · 0 chill hours · 46 in rainZone 11a · No frost · 0 chill hours · 1,162 mm rain

    Shares 13 of your 14 great-fit crops · Also great there: coffee (arabica), sorghum, cotton

    84%match
  5. 5

    🇻🇪Bailadores↻Seasons flipped. Mérida, Venezuela

    Zone 11b · No frost · 0 chill hours · 43 in rainZone 11b · No frost · 0 chill hours · 1,083 mm rain

    Shares 13 of your 14 great-fit crops · Also great there: coffee (arabica), fig, sorghum

    82%match
  6. 6

    🇰🇪ChukaTharaka - Nithi, Kenya

    Zone 11b · No frost · 0 chill hours · 57 in rainZone 11b · No frost · 0 chill hours · 1,458 mm rain

    Shares 12 of your 14 great-fit crops · Also great there: coffee (arabica), sorghum, cotton

    81%match
  7. 7

    🇨🇴Málaga↻Seasons flipped. Santander Department, Colombia

    Zone 11a · No frost · 0 chill hours · 56 in rainZone 11a · No frost · 0 chill hours · 1,433 mm rain

    Shares 12 of your 14 great-fit crops · Also great there: tea, coffee (arabica)

    80%match
  8. 8

    🇩🇴Constanza↻Seasons flipped. La Vega, Dominican Republic

    Zone 11a · No frost · 2 chill hours · 39 in rainZone 11a · No frost · 2 chill hours · 1,003 mm rain

    Shares 13 of your 14 great-fit crops · Also great there: fig, sorghum, cotton

    79%match
  9. 9

    🇺🇬KabaleWestern Region, Uganda

    Zone 11a · No frost · 0 chill hours · 36 in rainZone 11a · No frost · 0 chill hours · 911 mm rain

    Shares 11 of your 14 great-fit crops

    77%match
  10. 10

    🇧🇷PiatãBahia, Brazil

    Zone 11a · No frost · 0 chill hours · 38 in rainZone 11a · No frost · 0 chill hours · 966 mm rain

    Shares 13 of your 14 great-fit crops · Also great there: fig, cotton, sorghum

    77%match
  11. 11

    🇷🇼MusanzeNorthern Province, Rwanda

    Zone 11b · No frost · 0 chill hours · 48 in rainZone 11b · No frost · 0 chill hours · 1,231 mm rain

    Shares 13 of your 14 great-fit crops · Also great there: coffee (arabica)

    77%match
  12. 12

    🇺🇬IshakaWestern Region, Uganda

    Zone 11b · No frost · 0 chill hours · 43 in rainZone 11b · No frost · 0 chill hours · 1,100 mm rain

    Shares 13 of your 14 great-fit crops · Also great there: coffee (arabica), fig, sorghum

    76%match
  13. 13

    🇪🇨PomasquiPichincha, Ecuador

    Zone 11a · No frost · 14 chill hours · 32 in rainZone 11a · No frost · 14 chill hours · 808 mm rain

    Shares 8 of your 14 great-fit crops

    76%match
  14. 14

    🇰🇪NyamiraNyamira county, Kenya

    Zone 11b · No frost · 0 chill hours · 62 in rainZone 11b · No frost · 0 chill hours · 1,582 mm rain

    Shares 12 of your 14 great-fit crops · Also great there: tea, coffee (arabica), sorghum

    76%match
  15. 15

    🇨🇩KaynaNorth Kivu, Democratic Republic of the Congo

    Zone 11b · No frost · 0 chill hours · 46 in rainZone 11b · No frost · 0 chill hours · 1,181 mm rain

    Shares 13 of your 14 great-fit crops · Also great there: coffee (arabica), sorghum, cotton

    75%match
  16. 16

    🇻🇪Tabay↻Seasons flipped. Mérida, Venezuela

    Zone 11b · No frost · 0 chill hours · 43 in rainZone 11b · No frost · 0 chill hours · 1,095 mm rain

    Shares 13 of your 14 great-fit crops

    75%match
  17. 17

    🇪🇨Ibarra↻Seasons flipped. Imbabura, Ecuador

    Zone 11a · No frost · 0 chill hours · 28 in rainZone 11a · No frost · 0 chill hours · 702 mm rain

    Shares 9 of your 14 great-fit crops

    75%match
  18. 18

    🇵🇪ChachapoyasAmazonas, Peru

    Zone 11a · No frost · 12 chill hours · 38 in rainZone 11a · No frost · 12 chill hours · 955 mm rain

    Shares 11 of your 14 great-fit crops

    75%match
  19. 19

    🇰🇪KerichoKericho County, Kenya

    Zone 11b · No frost · 0 chill hours · 62 in rainZone 11b · No frost · 0 chill hours · 1,585 mm rain

    Shares 12 of your 14 great-fit crops · Also great there: tea, coffee (arabica), sorghum

    74%match
  20. 20

    🇹🇿MatuiTanga, Tanzania

    Zone 11a · No frost · 0 chill hours · 36 in rainZone 11a · No frost · 0 chill hours · 909 mm rain

    Shares 14 of your 14 great-fit crops · Also great there: fig, sorghum, citrus

    74%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 Tetu: 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.