Climatch

Land with a climate like Watamu

🇰🇪Watamu, Kilifi County, Kenya

The towns with the closest growing climate to Watamu are Mombasa, Kenya (96% match), Lamu and Kataragama. About 18,000 sq mi of land in 4 countries matches 80% or better, most of it in Kilifi County, Kenya, Lamu, Kenya and Tanga, Tanzania.The towns with the closest growing climate to Watamu are Mombasa, Kenya (96% match), Lamu and Kataragama. About 48,000 km² of land in 4 countries matches 80% or better, most of it in Kilifi County, Kenya, Lamu, Kenya and Tanga, Tanzania.

Your growing climate

Zone 13a · No frost · 0 chill hours · 34 in rainZone 13a · No frost · 0 chill hours · 869 mm rain

What grows in Watamu →

Regions with the most land like yours

  1. 1

    🇰🇪Kilifi County, Kenya

    6,000 sq mi15k km² matching 80% or better

    For example Mariakani (93)

  2. 2

    🇰🇪Lamu, Kenya

    3,600 sq mi9,300 km² matching 80% or better

    For example Lamu (87)

  3. 3

    🇹🇿Tanga, Tanzania

    2,100 sq mi5,400 km² matching 80% or better

    For example Tanga (82), Mlalo (80)

  4. 4

    🇰🇪Kwale County, Kenya

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

    For example Ukunda (94), Matuga (92)

  5. 5

    🇱🇰Southern Province, Sri Lanka

    600 sq mi1,500 km² matching 80% or better

    For example Hambantota (80), Ambalantota (79)

  6. 6

    🇱🇰Uva Province, Sri Lanka

    600 sq mi1,500 km² matching 80% or better

    For example Kataragama (82)

  7. 7

    🇧🇷Alagoas, Brazil

    300 sq mi800 km² matching 80% or better

    For example Porto Real do Colégio (83), Penedo (80)

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

    🇰🇪MombasaMombasa County, Kenya

    Zone 13a · No frost · 0 chill hours · 43 in rainZone 13a · No frost · 0 chill hours · 1,082 mm rain

    Shares 16 of your 18 great-fit crops · Also great there: macadamia, banana

    96%match
  2. 2

    🇰🇪LamuKenya

    Zone 13b · No frost · 0 chill hours · 38 in rainZone 13b · No frost · 0 chill hours · 955 mm rain

    Shares 16 of your 18 great-fit crops

    87%match
  3. 3

    🇱🇰Kataragama↻Seasons flipped. Uva Province, Sri Lanka

    Zone 13b · No frost · 0 chill hours · 50 in rainZone 13b · No frost · 0 chill hours · 1,271 mm rain

    Shares 16 of your 18 great-fit crops · Also great there: macadamia, banana

    82%match
  4. 4

    🇹🇿TangaTanzania

    Zone 13a · No frost · 0 chill hours · 48 in rainZone 13a · No frost · 0 chill hours · 1,213 mm rain

    Shares 16 of your 18 great-fit crops · Also great there: banana, cacao, macadamia

    82%match
  5. 5

    🇧🇷PenedoAlagoas, Brazil

    Zone 12b · No frost · 0 chill hours · 44 in rainZone 12b · No frost · 0 chill hours · 1,128 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: macadamia, canola (rapeseed)

    80%match
  6. 6

    🇱🇰Ambalantota↻Seasons flipped. Southern Province, Sri Lanka

    Zone 13b · No frost · 0 chill hours · 48 in rainZone 13b · No frost · 0 chill hours · 1,221 mm rain

    Shares 16 of your 18 great-fit crops · Also great there: banana, macadamia

    79%match
  7. 7

    🇱🇰Puttalam↻Seasons flipped. North Western Province, Sri Lanka

    Zone 13a · No frost · 0 chill hours · 49 in rainZone 13a · No frost · 0 chill hours · 1,233 mm rain

    Shares 16 of your 18 great-fit crops · Also great there: banana

    78%match
  8. 8

    🇨🇺Maisí↻Seasons flipped. Guantánamo Province, Cuba

    Zone 13a · No frost · 0 chill hours · 40 in rainZone 13a · No frost · 0 chill hours · 1,016 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: banana, macadamia

    78%match
  9. 9

    🇧🇷Tobias BarretoSergipe, Brazil

    Zone 12a · No frost · 0 chill hours · 33 in rainZone 12a · No frost · 0 chill hours · 829 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: canola (rapeseed), barley, potato

    77%match
  10. 10

    🇻🇪Puerto Cumarebo↻Seasons flipped. Falcón, Venezuela

    Zone 13a · No frost · 0 chill hours · 30 in rainZone 13a · No frost · 0 chill hours · 771 mm rain

    Shares 16 of your 18 great-fit crops

    76%match
  11. 11

    🇨🇺Banes↻Seasons flipped. Holguín Province, Cuba

    Zone 12b · No frost · 0 chill hours · 42 in rainZone 12b · No frost · 0 chill hours · 1,061 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: banana, macadamia

    75%match
  12. 12

    🇧🇷ArapiracaAlagoas, Brazil

    Zone 12a · No frost · 0 chill hours · 32 in rainZone 12a · No frost · 0 chill hours · 808 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: canola (rapeseed), barley, potato

    75%match
  13. 13

    🇧🇷ItabaianaSergipe, Brazil

    Zone 12b · No frost · 0 chill hours · 49 in rainZone 12b · No frost · 0 chill hours · 1,256 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: macadamia, canola (rapeseed), barley

    74%match
  14. 14

    🇹🇿SokoniZanzibar Central/South, Tanzania

    Zone 13a · No frost · 0 chill hours · 49 in rainZone 13a · No frost · 0 chill hours · 1,252 mm rain

    Shares 16 of your 18 great-fit crops · Also great there: macadamia, banana

    74%match
  15. 15

    🇹🇨Providenciales↻Seasons flipped. Turks and Caicos Islands

    Zone 13a · No frost · 0 chill hours · 30 in rainZone 13a · No frost · 0 chill hours · 761 mm rain

    Shares 16 of your 18 great-fit crops

    73%match
  16. 16

    🇧🇷OlindinaBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 33 in rainZone 12a · No frost · 0 chill hours · 845 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: canola (rapeseed), barley, potato

    72%match
  17. 17

    🇧🇷Nossa Senhora da GlóriaSergipe, Brazil

    Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 794 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: canola (rapeseed), barley, potato

    72%match
  18. 18

    🇹🇿NungwiZanzibar North, Tanzania

    Zone 13a · No frost · 0 chill hours · 62 in rainZone 13a · No frost · 0 chill hours · 1,563 mm rain

    Shares 15 of your 18 great-fit crops · Also great there: banana, cacao, tea

    71%match
  19. 19

    🇧🇷Barra dos CoqueirosSergipe, Brazil

    Zone 13a · No frost · 0 chill hours · 58 in rainZone 13a · No frost · 0 chill hours · 1,485 mm rain

    Shares 16 of your 18 great-fit crops · Also great there: banana, cacao, macadamia

    71%match
  20. 20

    🇧🇷AlagoinhasBahia, Brazil

    Zone 12b · No frost · 0 chill hours · 48 in rainZone 12b · No frost · 0 chill hours · 1,219 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: macadamia, banana, canola (rapeseed)

    71%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 Watamu: 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.