Climatch

Land with a climate like Same

🇹🇿Same, Kilimanjaro, Tanzania

The towns with the closest growing climate to Same are Moshi, Tanzania (98% match), Merelani and Mazinde. About 176,000 sq mi of land in 12 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 Same are Moshi, Tanzania (98% match), Merelani and Mazinde. About 456,000 km² of land in 12 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 · 30 in rainZone 12a · No frost · 0 chill hours · 752 mm rain

What grows in Same →

Regions with the most land like yours

  1. 1

    🇧🇷Bahia, Brazil

    39k sq mi102k km² matching 80% or better

    For example Itaeté (93), Tanhaçu (93)

  2. 2

    🇧🇷Minas Gerais, Brazil

    27k sq mi70k km² matching 80% or better

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

  3. 3

    🇹🇿Morogoro, Tanzania

    10k sq mi27k km² matching 80% or better

    For example Kilosa (91), Morogoro (89)

  4. 4

    🇹🇿Kilimanjaro, Tanzania

    9,000 sq mi23k km² matching 80% or better

    For example Moshi (98), Boma la Ngombe (97)

  5. 5

    🇲🇿Inhambane Province, Mozambique

    6,900 sq mi18k km² matching 80% or better

    For example Massinga (79), Maxixe (78)

  6. 6

    🇲🇿Gaza Province, Mozambique

    6,200 sq mi16k km² matching 80% or better

    For example Xilembene (84), Chibuto (84)

  7. 7

    🇹🇿Mara, Tanzania

    6,000 sq mi15k km² matching 80% or better

    For example Kibara (87), Bunda (86)

  8. 8

    🇰🇪Taita Taveta, Kenya

    5,400 sq mi14k km² matching 80% or better

    For example Voi (93)

  9. 9

    🇲🇿Maputo Province, Mozambique

    4,600 sq mi12k km² matching 80% or better

    For example Manhiça (84), Boane (82)

  10. 10

    🇰🇪Kajiado County, Kenya

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

    For example Kitengela (83), Ongata Rongai (82)

  11. 11

    🇰🇪Makueni County, Kenya

    3,300 sq mi8,500 km² matching 80% or better

    For example Emali (87), Wote (83)

  12. 12

    🇧🇴Santa Cruz Department, Bolivia

    2,000 sq mi5,100 km² matching 80% or better

    For example Camiri (78), El Torno (71)

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

    🇹🇿MoshiKilimanjaro, Tanzania

    Zone 12a · No frost · 0 chill hours · 28 in rainZone 12a · No frost · 0 chill hours · 719 mm rain

    Shares 18 of your 19 great-fit crops · Also great there: potato, rice

    98%match
  2. 2

    🇹🇿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 19 great-fit crops

    98%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 19 great-fit crops

    95%match
  4. 4

    🇰🇪VoiTaita Taveta, Kenya

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

    Shares 18 of your 19 great-fit crops

    93%match
  5. 5

    🇧🇷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 19 great-fit crops

    93%match
  6. 6

    🇧🇷Vera CruzBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 28 in rainZone 12a · No frost · 0 chill hours · 710 mm rain

    Shares 18 of your 19 great-fit crops

    92%match
  7. 7

    🇧🇷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 19 great-fit crops

    92%match
  8. 8

    🇹🇿KilosaMorogoro, Tanzania

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

    Shares 19 of your 19 great-fit crops · Also great there: rice, macadamia

    91%match
  9. 9

    🇧🇷Pedra AzulMinas Gerais, Brazil

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

    Shares 19 of your 19 great-fit crops · Also great there: rice

    90%match
  10. 10

    🇧🇷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 19 great-fit crops · Also great there: wine grapes

    90%match
  11. 11

    🇧🇷Boa Vista do TupimBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 25 in rainZone 12a · No frost · 0 chill hours · 645 mm rain

    Shares 15 of your 19 great-fit crops

    90%match
  12. 12

    🇧🇷UtingaBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 23 in rainZone 11b · No frost · 0 chill hours · 595 mm rain

    Shares 14 of your 19 great-fit crops

    89%match
  13. 13

    🇹🇿MorogoroTanzania

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

    Shares 17 of your 19 great-fit crops · Also great there: rice

    89%match
  14. 14

    🇧🇷Cândido SalesBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 30 in rainZone 11b · No frost · 0 chill hours · 759 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: rice, wine grapes

    87%match
  15. 15

    🇭🇹Saint-Michel de l'Atalaye↻Seasons flipped. Artibonite, Haiti

    Zone 12a · No frost · 0 chill hours · 47 in rainZone 12a · No frost · 0 chill hours · 1,193 mm rain

    Shares 17 of your 19 great-fit crops · Also great there: macadamia, rice

    87%match
  16. 16

    🇧🇷UauáBahia, Brazil

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

    Shares 19 of your 19 great-fit crops · Also great there: rice, banana, tea

    87%match
  17. 17

    🇹🇿KibaraMara, Tanzania

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

    Shares 19 of your 19 great-fit crops

    87%match
  18. 18

    🇪🇨CatamayoLoja, Ecuador

    Zone 12a · No frost · 0 chill hours · 35 in rainZone 12a · No frost · 0 chill hours · 900 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: rice, wine grapes, macadamia

    87%match
  19. 19

    🇹🇿DumilaMorogoro, Tanzania

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

    Shares 17 of your 19 great-fit crops · Also great there: rice

    86%match
  20. 20

    🇹🇿HandeniTanga, Tanzania

    Zone 11b · No frost · 0 chill hours · 34 in rainZone 11b · No frost · 0 chill hours · 857 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: potato, rice

    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 Same: 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.