Climatch

Land with a climate like Moshi

🇹🇿Moshi, Kilimanjaro, Tanzania

The towns with the closest growing climate to Moshi are Same, Tanzania (98% match), Hedaru and Mazinde. About 77,000 sq mi of land in 5 countries matches 80% or better, most of it in Bahia, Brazil, Kilimanjaro, Tanzania and Morogoro, Tanzania.The towns with the closest growing climate to Moshi are Same, Tanzania (98% match), Hedaru and Mazinde. About 200,000 km² of land in 5 countries matches 80% or better, most of it in Bahia, Brazil, Kilimanjaro, Tanzania and Morogoro, Tanzania.

Your growing climate

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

What grows in Moshi →

Regions with the most land like yours

  1. 1

    🇧🇷Bahia, Brazil

    22k sq mi58k km² matching 80% or better

    For example Uauá (86), Itaeté (86)

  2. 2

    🇹🇿Kilimanjaro, Tanzania

    8,700 sq mi22k km² matching 80% or better

    For example Same (98), Hedaru (96)

  3. 3

    🇹🇿Morogoro, Tanzania

    8,000 sq mi21k km² matching 80% or better

    For example Kilosa (88), Msowero (86)

  4. 4

    🇰🇪Taita Taveta, Kenya

    5,400 sq mi14k km² matching 80% or better

    For example Voi (89)

  5. 5

    🇧🇷Pernambuco, Brazil

    5,000 sq mi13k km² matching 80% or better

    For example Exu (83), São José do Belmonte (82)

  6. 6

    🇹🇿Tanga, Tanzania

    4,500 sq mi12k km² matching 80% or better

    For example Mazinde (93), Makuyuni (93)

  7. 7

    🇰🇪Kajiado County, Kenya

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

    For example Kitengela (82), Ongata Rongai (78)

  8. 8

    🇰🇪Makueni County, Kenya

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

    For example Emali (84), Wote (81)

  9. 9

    🇧🇷Ceará, Brazil

    2,400 sq mi6,100 km² matching 80% or better

    For example Porteiras (82), Santana do Cariri (80)

  10. 10

    🇭🇳El Paraíso Department, Honduras

    300 sq mi800 km² matching 80% or better

    For example Teupasenti (81), Morocelí (80)

  11. 11

    🇩🇴Baoruco Province, Dominican Republic

    300 sq mi700 km² matching 80% or better

  12. 12

    🇩🇴San Juan Province, Dominican Republic

    300 sq mi700 km² matching 80% or better

    For example San Juan de la Maguana (77), Las Matas de Farfán (69)

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

    🇹🇿SameKilimanjaro, Tanzania

    Zone 12a · No frost · 0 chill hours · 30 in rainZone 12a · No frost · 0 chill hours · 752 mm rain

    Shares 18 of your 20 great-fit crops · Also great there: sugarcane

    98%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 20 great-fit crops

    96%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 20 great-fit crops

    93%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 17 of your 20 great-fit crops · Also great there: sugarcane

    89%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 19 of your 20 great-fit crops · Also great there: sugarcane, macadamia

    88%match
  6. 6

    🇧🇷UauáBahia, Brazil

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

    Shares 20 of your 20 great-fit crops · Also great there: banana, sugarcane, tea

    86%match
  7. 7

    🇧🇷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 20 great-fit crops

    86%match
  8. 8

    🇹🇿MorogoroTanzania

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

    Shares 17 of your 20 great-fit crops · Also great there: sugarcane

    85%match
  9. 9

    🇧🇷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 20 great-fit crops

    84%match
  10. 10

    🇧🇷CanudosBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 17 in rainZone 12a · No frost · 0 chill hours · 426 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: banana, sugarcane, tea

    84%match
  11. 11

    🇰🇪RuiruKiambu County, Kenya

    Zone 11b · No frost · 0 chill hours · 27 in rainZone 11b · No frost · 0 chill hours · 698 mm rain

    Shares 18 of your 20 great-fit crops · Also great there: wine grapes

    84%match
  12. 12

    🇧🇷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 20 great-fit crops

    84%match
  13. 13

    🇹🇿MusomaMara, Tanzania

    Zone 12b · No frost · 0 chill hours · 31 in rainZone 12b · No frost · 0 chill hours · 785 mm rain

    Shares 17 of your 20 great-fit crops · Also great there: sugarcane

    84%match
  14. 14

    🇹🇿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 20 great-fit crops · Also great there: sugarcane

    83%match
  15. 15

    🇹🇿MadiziniMorogoro, Tanzania

    Zone 12a · No frost · 0 chill hours · 38 in rainZone 12a · No frost · 0 chill hours · 973 mm rain

    Shares 17 of your 20 great-fit crops · Also great there: sugarcane, macadamia

    83%match
  16. 16

    🇧🇷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 20 great-fit crops

    83%match
  17. 17

    🇹🇿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 20 great-fit crops

    82%match
  18. 18

    🇧🇷São José do BelmontePernambuco, Brazil

    Zone 12a · No frost · 0 chill hours · 25 in rainZone 12a · No frost · 0 chill hours · 629 mm rain

    Shares 16 of your 20 great-fit crops

    82%match
  19. 19

    🇭🇳Teupasenti↻Seasons flipped. El Paraíso Department, Honduras

    Zone 12a · No frost · 0 chill hours · 33 in rainZone 12a · No frost · 0 chill hours · 841 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: sugarcane

    81%match
  20. 20

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

    81%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 Moshi: 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.