Climatch

Land with a climate like Lembeni

🇹🇿Lembeni, Kilimanjaro, Tanzania

The towns with the closest growing climate to Lembeni are Mbuguni, Tanzania (99% match), Hedaru and Tanhaçu. About 133,000 sq mi of land in 11 countries matches 80% or better, most of it in Bahia, Brazil, Minas Gerais, Brazil and Morogoro, Tanzania.The towns with the closest growing climate to Lembeni are Mbuguni, Tanzania (99% match), Hedaru and Tanhaçu. About 345,000 km² of land in 11 countries matches 80% or better, most of it in Bahia, Brazil, Minas Gerais, Brazil and Morogoro, Tanzania.

Your growing climate

Zone 12a · No frost · 0 chill hours · 28 in rainZone 12a · No frost · 0 chill hours · 711 mm rain

What grows in Lembeni →

Regions with the most land like yours

  1. 1

    🇧🇷Bahia, Brazil

    33k sq mi85k km² matching 80% or better

    For example Tanhaçu (93), Ituaçu (92)

  2. 2

    🇧🇷Minas Gerais, Brazil

    18k sq mi47k km² matching 80% or better

    For example Medina (90), Pedra Azul (88)

  3. 3

    🇹🇿Morogoro, Tanzania

    9,500 sq mi25k km² matching 80% or better

    For example Kilosa (90), Msowero (88)

  4. 4

    🇹🇿Kilimanjaro, Tanzania

    9,000 sq mi23k km² matching 80% or better

    For example Hedaru (97), Tarakea (53)

  5. 5

    🇹🇿Arusha, Tanzania

    6,600 sq mi17k km² matching 80% or better

    For example Mbuguni (99), Mto wa Mbu (88)

  6. 6

    🇰🇪Makueni County, Kenya

    5,100 sq mi13k km² matching 80% or better

    For example Emali (94), Wote (92)

  7. 7

    🇰🇪Taita Taveta, Kenya

    4,200 sq mi11k km² matching 80% or better

    For example Voi (89)

  8. 8

    🇰🇪Kajiado County, Kenya

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

    For example Kitengela (85), Kajiado (81)

  9. 9

    🇲🇿Maputo Province, Mozambique

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

    For example Boane (81), Ressano Garcia (80)

  10. 10

    🇲🇽Chiapas, Mexico

    1,400 sq mi3,700 km² matching 80% or better

    For example Berriozábal (82), Ocozocoautla de Espinosa (81)

  11. 11

    🇩🇴Baoruco Province, Dominican Republic

    900 sq mi2,200 km² matching 80% or better

  12. 12

    🇩🇴San Juan Province, Dominican Republic

    800 sq mi2,200 km² matching 80% or better

    For example San Juan de la Maguana (80), Las Matas de Farfán (76)

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

    🇹🇿MbuguniArusha, Tanzania

    Zone 12a · No frost · 0 chill hours · 24 in rainZone 12a · No frost · 0 chill hours · 622 mm rain

    Shares 17 of your 18 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 18 great-fit crops

    97%match
  3. 3

    🇧🇷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 18 great-fit crops

    93%match
  4. 4

    🇹🇿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 18 great-fit crops

    92%match
  5. 5

    🇧🇷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 18 great-fit crops

    91%match
  6. 6

    🇹🇿KilosaMorogoro, Tanzania

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

    Shares 18 of your 18 great-fit crops · Also great there: rice, sugarcane, macadamia

    90%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 18 of your 18 great-fit crops · Also great there: rice, banana, tea

    90%match
  8. 8

    🇰🇪Makueni BomaMakueni County, Kenya

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

    Shares 18 of your 18 great-fit crops · Also great there: wine grapes, potato

    90%match
  9. 9

    🇰🇪VoiTaita Taveta, Kenya

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

    Shares 17 of your 18 great-fit crops · Also great there: sugarcane

    89%match
  10. 10

    🇧🇷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 18 great-fit crops

    89%match
  11. 11

    🇧🇷SeabraBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 25 in rainZone 11b · No frost · 0 chill hours · 639 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: wine grapes

    89%match
  12. 12

    🇧🇷Pedra AzulMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 29 in rainZone 11b · No frost · 0 chill hours · 742 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: rice, sugarcane

    88%match
  13. 13

    🇰🇪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 18 great-fit crops · Also great there: wine grapes, potato

    88%match
  14. 14

    🇰🇪WanguruKirinyaga County, Kenya

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

    Shares 18 of your 18 great-fit crops · Also great there: wine grapes, sugarcane, potato

    88%match
  15. 15

    🇰🇪KituiKitui County, Kenya

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

    Shares 18 of your 18 great-fit crops · Also great there: wine grapes, potato, rice

    88%match
  16. 16

    🇹🇿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 18 great-fit crops

    88%match
  17. 17

    🇧🇷CaetitéBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 30 in rainZone 11b · No frost · 0 chill hours · 763 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: rice, wine grapes, sugarcane

    88%match
  18. 18

    🇹🇿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 18 great-fit crops

    87%match
  19. 19

    🇹🇿MorogoroTanzania

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

    Shares 16 of your 18 great-fit crops · Also great there: sugarcane, rice

    86%match
  20. 20

    🇹🇿DumilaMorogoro, Tanzania

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

    Shares 16 of your 18 great-fit crops · Also great there: rice, sugarcane

    86%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 Lembeni: 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.