Climatch

Land with a climate like Mazinde

🇹🇿Mazinde, Tanga, Tanzania

The towns with the closest growing climate to Mazinde are Same, Tanzania (95% match), Iaçu and Voi. About 146,000 sq mi of land in 9 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 Mazinde are Same, Tanzania (95% match), Iaçu and Voi. About 377,000 km² of land in 9 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 · 25 in rainZone 12a · No frost · 0 chill hours · 623 mm rain

What grows in Mazinde →

Regions with the most land like yours

  1. 1

    🇧🇷Bahia, Brazil

    52k sq mi134k km² matching 80% or better

    For example Boa Vista do Tupim (95), Iaçu (94)

  2. 2

    🇧🇷Minas Gerais, Brazil

    21k sq mi54k km² matching 80% or better

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

  3. 3

    🇹🇿Morogoro, Tanzania

    9,500 sq mi25k km² matching 80% or better

    For example Morogoro (87), Madizini (86)

  4. 4

    🇹🇿Kilimanjaro, Tanzania

    8,700 sq mi22k km² matching 80% or better

    For example Same (95), Usangi (93)

  5. 5

    🇧🇷Rio de Janeiro, Brazil

    8,000 sq mi21k km² matching 80% or better

    For example Maricá (87), São João da Barra (86)

  6. 6

    🇹🇿Tanga, Tanzania

    6,600 sq mi17k km² matching 80% or better

    For example Mlalo (57)

  7. 7

    🇰🇪Taita Taveta, Kenya

    5,700 sq mi15k km² matching 80% or better

    For example Voi (93), Taveta (93)

  8. 8

    🇻🇪Lara, Venezuela

    4,400 sq mi11k km² matching 80% or better

    For example Duaca (84), Sanare (75)

  9. 9

    🇻🇪Falcón, Venezuela

    1,500 sq mi3,800 km² matching 80% or better

  10. 10

    🇲🇿Maputo Province, Mozambique

    1,300 sq mi3,500 km² matching 80% or better

    For example Manhiça (82), Matola (81)

  11. 11

    🇲🇿Maputo City, Mozambique

    1,300 sq mi3,500 km² matching 80% or better

    For example Maputo (83)

  12. 12

    🇰🇪Kilifi County, Kenya

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

    For example Mariakani (67)

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

    95%match
  2. 2

    🇧🇷IaçuBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 21 in rainZone 12a · No frost · 0 chill hours · 540 mm rain

    Shares 11 of your 17 great-fit crops

    94%match
  3. 3

    🇰🇪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

    93%match
  4. 4

    🇹🇿MoshiKilimanjaro, Tanzania

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

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

    93%match
  5. 5

    🇰🇪TavetaTaita Taveta, Kenya

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

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

    92%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 17 great-fit crops

    92%match
  8. 8

    🇧🇷ItaberabaBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 28 in rainZone 12a · No frost · 0 chill hours · 701 mm rain

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

    92%match
  9. 9

    🇧🇷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 17 great-fit crops

    91%match
  10. 10

    🇧🇷AlmenaraMinas Gerais, Brazil

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

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

    90%match
  11. 11

    🇧🇷MacaraniBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 791 mm rain

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

    90%match
  12. 12

    🇧🇷Miguel CalmonBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 23 in rainZone 12a · No frost · 0 chill hours · 591 mm rain

    Shares 14 of your 17 great-fit crops

    90%match
  13. 13

    🇧🇷Conceição do CoitéBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 23 in rainZone 12a · No frost · 0 chill hours · 595 mm rain

    Shares 13 of your 17 great-fit crops

    90%match
  14. 14

    🇧🇷ItambéBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 30 in rainZone 12a · No frost · 0 chill hours · 755 mm rain

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

    90%match
  15. 15

    🇧🇷Capim GrossoBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 24 in rainZone 12a · No frost · 0 chill hours · 621 mm rain

    Shares 14 of your 17 great-fit crops

    89%match
  16. 16

    🇹🇿LugobaPwani, Tanzania

    Zone 12b · No frost · 0 chill hours · 34 in rainZone 12b · No frost · 0 chill hours · 864 mm rain

    Shares 14 of your 17 great-fit crops · Also great there: cassava, sugarcane, rice

    89%match
  17. 17

    🇹🇿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

    88%match
  18. 18

    🇧🇷Pedra AzulMinas Gerais, Brazil

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

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

    88%match
  19. 19

    🇧🇷AraciBahia, Brazil

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

    Shares 15 of your 17 great-fit crops

    88%match
  20. 20

    🇧🇷Águas FormosasMinas Gerais, Brazil

    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

    87%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 Mazinde: 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.