Climatch

Land with a climate like Taveta

🇰🇪Taveta, Taita Taveta, Kenya

The towns with the closest growing climate to Taveta are Merelani, Tanzania (99% match), Hedaru and Mazinde. About 96,000 sq mi of land in 5 countries matches 80% or better, most of it in Bahia, Brazil, Pernambuco, Brazil and Kilimanjaro, Tanzania.The towns with the closest growing climate to Taveta are Merelani, Tanzania (99% match), Hedaru and Mazinde. About 249,000 km² of land in 5 countries matches 80% or better, most of it in Bahia, Brazil, Pernambuco, Brazil and Kilimanjaro, Tanzania.

Your growing climate

Zone 12a · No frost · 0 chill hours · 23 in rainZone 12a · No frost · 0 chill hours · 596 mm rain

What grows in Taveta →

Regions with the most land like yours

  1. 1

    🇧🇷Bahia, Brazil

    24k sq mi61k km² matching 80% or better

    For example Tanhaçu (91), Umburanas (89)

  2. 2

    🇧🇷Pernambuco, Brazil

    13k sq mi33k km² matching 80% or better

    For example Salgueiro (83), São José do Belmonte (83)

  3. 3

    🇹🇿Kilimanjaro, Tanzania

    8,700 sq mi22k km² matching 80% or better

    For example Hedaru (97)

  4. 4

    🇹🇿Morogoro, Tanzania

    8,000 sq mi21k km² matching 80% or better

    For example Kilosa (89), Msowero (89)

  5. 5

    🇰🇪Makueni County, Kenya

    6,000 sq mi15k km² matching 80% or better

    For example Emali (92), Wote (91)

  6. 6

    🇹🇿Arusha, Tanzania

    5,100 sq mi13k km² matching 80% or better

    For example Mbuguni (99), Merelani (99)

  7. 7

    🇰🇪Taita Taveta, Kenya

    4,800 sq mi12k km² matching 80% or better

    For example Voi (88)

  8. 8

    🇰🇪Kajiado County, Kenya

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

    For example Kitengela (81), Kajiado (75)

  9. 9

    🇧🇷Ceará, Brazil

    1,200 sq mi3,100 km² matching 80% or better

    For example Santana do Cariri (80), Porteiras (78)

  10. 10

    🇭🇳El Paraíso Department, Honduras

    300 sq mi800 km² matching 80% or better

    For example Morocelí (86), Teupasenti (81)

  11. 11

    🇩🇴Baoruco Province, Dominican Republic

    300 sq mi700 km² matching 80% or better

    For example Neiba (56)

  12. 12

    🇩🇴San Juan Province, Dominican Republic

    300 sq mi700 km² matching 80% or better

    For example San Juan de la Maguana (79), Las Matas de Farfán (70)

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

    🇹🇿MerelaniArusha, Tanzania

    Zone 12a · No frost · 0 chill hours · 25 in rainZone 12a · No frost · 0 chill hours · 626 mm rain

    Shares 17 of your 17 great-fit crops

    99%match
  2. 2

    🇹🇿HedaruKilimanjaro, Tanzania

    Zone 11b · No frost · 0 chill hours · 24 in rainZone 11b · No frost · 0 chill hours · 613 mm rain

    Shares 17 of your 17 great-fit crops

    97%match
  3. 3

    🇹🇿MazindeTanga, Tanzania

    Zone 12a · No frost · 0 chill hours · 25 in rainZone 12a · No frost · 0 chill hours · 623 mm rain

    Shares 17 of your 17 great-fit crops

    93%match
  4. 4

    🇧🇷TanhaçuBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 23 in rainZone 12a · No frost · 0 chill hours · 580 mm rain

    Shares 14 of your 17 great-fit crops

    91%match
  5. 5

    🇹🇿KilosaMorogoro, Tanzania

    Zone 12a · No frost · 0 chill hours · 34 in rainZone 12a · No frost · 0 chill hours · 870 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: cassava, rice, sugarcane

    89%match
  6. 6

    🇹🇿MaguguManyara, Tanzania

    Zone 12a · No frost · 0 chill hours · 23 in rainZone 12a · No frost · 0 chill hours · 574 mm rain

    Shares 16 of your 17 great-fit crops

    89%match
  7. 7

    🇧🇷UmburanasBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 19 in rainZone 11b · No frost · 0 chill hours · 472 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: rice, banana, tea

    89%match
  8. 8

    🇰🇪VoiTaita Taveta, Kenya

    Zone 12a · No frost · 0 chill hours · 30 in rainZone 12a · No frost · 0 chill hours · 756 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: cassava, sugarcane

    88%match
  9. 9

    🇹🇿MakuyuniArusha, Tanzania

    Zone 11b · No frost · 0 chill hours · 21 in rainZone 11b · No frost · 0 chill hours · 535 mm rain

    Shares 16 of your 17 great-fit crops

    87%match
  10. 10

    🇰🇪Makueni BomaMakueni County, Kenya

    Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 683 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: wine grapes, potato, cassava

    87%match
  11. 11

    🇧🇷CafarnaumBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 22 in rainZone 11b · No frost · 0 chill hours · 563 mm rain

    Shares 14 of your 17 great-fit crops

    87%match
  12. 12

    🇰🇪WanguruKirinyaga County, Kenya

    Zone 12a · No frost · 0 chill hours · 35 in rainZone 12a · No frost · 0 chill hours · 892 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: cassava, wine grapes, sugarcane

    87%match
  13. 13

    🇧🇷UauáBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 17 in rainZone 12a · No frost · 0 chill hours · 438 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: rice, banana, cassava

    86%match
  14. 14

    🇰🇪KituiKitui County, Kenya

    Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 784 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: cassava, wine grapes, potato

    86%match
  15. 15

    🇹🇿DumilaMorogoro, Tanzania

    Zone 12a · No frost · 0 chill hours · 32 in rainZone 12a · No frost · 0 chill hours · 821 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: cassava, rice, sugarcane

    86%match
  16. 16

    🇰🇪MwalaMachakos County, Kenya

    Zone 11b · No frost · 0 chill hours · 26 in rainZone 11b · No frost · 0 chill hours · 649 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: wine grapes, potato

    86%match
  17. 17

    🇹🇿MorogoroTanzania

    Zone 12a · No frost · 0 chill hours · 34 in rainZone 12a · No frost · 0 chill hours · 863 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: cassava, sugarcane, rice

    85%match
  18. 18

    🇧🇷AnagéBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 24 in rainZone 12a · No frost · 0 chill hours · 608 mm rain

    Shares 14 of your 17 great-fit crops

    85%match
  19. 19

    🇰🇪MakinduMakueni County, Kenya

    Zone 12a · No frost · 0 chill hours · 21 in rainZone 12a · No frost · 0 chill hours · 529 mm rain

    Shares 16 of your 17 great-fit crops

    84%match
  20. 20

    🇧🇷BrumadoBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 21 in rainZone 12a · No frost · 0 chill hours · 526 mm rain

    Shares 13 of your 17 great-fit crops

    84%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 Taveta: 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.