Climatch

Land with a climate like Magole

🇹🇿Magole, Morogoro, Tanzania

The towns with the closest growing climate to Magole are Mikumi, Tanzania (97% match), Saint-Marc and Chalinze. About 336,000 sq mi of land in 14 countries matches 80% or better, most of it in Morogoro, Tanzania, Sofala, Mozambique and Mato Grosso, Brazil.The towns with the closest growing climate to Magole are Mikumi, Tanzania (97% match), Saint-Marc and Chalinze. About 870,000 km² of land in 14 countries matches 80% or better, most of it in Morogoro, Tanzania, Sofala, Mozambique and Mato Grosso, Brazil.

Your growing climate

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

What grows in Magole →

Regions with the most land like yours

  1. 1

    🇹🇿Morogoro, Tanzania

    17k sq mi43k km² matching 80% or better

    For example Mikumi (97), Ngerengere (95)

  2. 2

    🇲🇿Sofala, Mozambique

    14k sq mi37k km² matching 80% or better

    For example Marromeu (84), Búzi (82)

  3. 3

    🇧🇷Mato Grosso, Brazil

    12k sq mi30k km² matching 80% or better

    For example Lucas (83), Poconé (82)

  4. 4

    🇲🇿Nampula, Mozambique

    10k sq mi27k km² matching 80% or better

    For example Nametil (83), Murrupula (81)

  5. 5

    🇧🇷Mato Grosso do Sul, Brazil

    10k sq mi26k km² matching 80% or better

    For example Corumbá (89), Ladário (89)

  6. 6

    🇲🇽Yucatán, Mexico

    9,000 sq mi23k km² matching 80% or better

    For example Mérida (85), Hunucmá (84)

  7. 7

    🇹🇿Lindi, Tanzania

    8,500 sq mi22k km² matching 80% or better

    For example Nyangao (90), Nachingwea (89)

  8. 8

    🇹🇿Pwani, Tanzania

    8,300 sq mi22k km² matching 80% or better

    For example Chalinze (92), Lugoba (92)

  9. 9

    🇧🇷Maranhão, Brazil

    7,400 sq mi19k km² matching 80% or better

    For example Jenipapo dos Vieiras (82), Barra do Corda (80)

  10. 10

    🇧🇴Santa Cruz Department, Bolivia

    7,400 sq mi19k km² matching 80% or better

    For example San Ignacio de Velasco (81), Camiri (80)

  11. 11

    🇲🇿Cabo Delgado Province, Mozambique

    6,100 sq mi16k km² matching 80% or better

    For example Mocímboa da Praia (83), Chiúre (82)

  12. 12

    🇲🇽Campeche, Mexico

    5,900 sq mi15k km² matching 80% or better

    For example Campeche (81), Escárcega (78)

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

    🇹🇿MikumiMorogoro, Tanzania

    Zone 12a · No frost · 0 chill hours · 45 in rainZone 12a · No frost · 0 chill hours · 1,143 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: macadamia, canola (rapeseed), barley

    97%match
  2. 2

    🇭🇹Saint-Marc↻Seasons flipped. Artibonite, Haiti

    Zone 12b · No frost · 0 chill hours · 32 in rainZone 12b · No frost · 0 chill hours · 802 mm rain

    Shares 16 of your 18 great-fit crops

    93%match
  3. 3

    🇹🇿ChalinzePwani, Tanzania

    Zone 12b · No frost · 0 chill hours · 34 in rainZone 12b · No frost · 0 chill hours · 868 mm rain

    Shares 17 of your 18 great-fit crops

    92%match
  4. 4

    🇲🇽Tuxtla↻Seasons flipped. Chiapas, Mexico

    Zone 12a · No frost · 0 chill hours · 49 in rainZone 12a · No frost · 0 chill hours · 1,244 mm rain

    Shares 16 of your 18 great-fit crops

    92%match
  5. 5

    🇧🇷JequitinhonhaMinas Gerais, Brazil

    Zone 12a · No frost · 0 chill hours · 30 in rainZone 12a · No frost · 0 chill hours · 759 mm rain

    Shares 17 of your 18 great-fit crops

    91%match
  6. 6

    🇲🇽Cintalapa de Figueroa↻Seasons flipped. Chiapas, Mexico

    Zone 12a · No frost · 0 chill hours · 43 in rainZone 12a · No frost · 0 chill hours · 1,099 mm rain

    Shares 15 of your 18 great-fit crops

    90%match
  7. 7

    🇩🇴San Juan de la Maguana↻Seasons flipped. San Juan Province, Dominican Republic

    Zone 12a · No frost · 0 chill hours · 35 in rainZone 12a · No frost · 0 chill hours · 885 mm rain

    Shares 17 of your 18 great-fit crops

    90%match
  8. 8

    🇹🇿NangangaMtwara, Tanzania

    Zone 12b · No frost · 0 chill hours · 33 in rainZone 12b · No frost · 0 chill hours · 826 mm rain

    Shares 17 of your 18 great-fit crops

    90%match
  9. 9

    🇧🇷CorumbáMato Grosso do Sul, Brazil

    Zone 12a · No frost · 0 chill hours · 39 in rainZone 12a · No frost · 0 chill hours · 986 mm rain

    Shares 16 of your 18 great-fit crops

    89%match
  10. 10

    🇹🇿IfakaraMorogoro, Tanzania

    Zone 12b · No frost · 0 chill hours · 54 in rainZone 12b · No frost · 0 chill hours · 1,375 mm rain

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

    89%match
  11. 11

    🇧🇷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

    89%match
  12. 12

    🇹🇿MasasiMtwara, Tanzania

    Zone 12a · No frost · 0 chill hours · 36 in rainZone 12a · No frost · 0 chill hours · 925 mm rain

    Shares 18 of your 18 great-fit crops

    88%match
  13. 13

    🇧🇷Governador ValadaresMinas Gerais, Brazil

    Zone 12a · No frost · 0 chill hours · 40 in rainZone 12a · No frost · 0 chill hours · 1,027 mm rain

    Shares 16 of your 18 great-fit crops · Also great there: macadamia

    88%match
  14. 14

    🇹🇿RuangwaLindi, Tanzania

    Zone 12a · No frost · 0 chill hours · 33 in rainZone 12a · No frost · 0 chill hours · 833 mm rain

    Shares 18 of your 18 great-fit crops

    87%match
  15. 15

    🇹🇿TandahimbaMtwara, Tanzania

    Zone 12a · No frost · 0 chill hours · 41 in rainZone 12a · No frost · 0 chill hours · 1,047 mm rain

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

    87%match
  16. 16

    🇧🇷Brejo SantoCeará, Brazil

    Zone 12b · No frost · 0 chill hours · 29 in rainZone 12b · No frost · 0 chill hours · 740 mm rain

    Shares 17 of your 18 great-fit crops

    87%match
  17. 17

    🇹🇿HedaruKilimanjaro, Tanzania

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

    Shares 15 of your 18 great-fit crops · Also great there: barley, canola (rapeseed)

    86%match
  18. 18

    🇧🇷Juazeiro do NorteCeará, Brazil

    Zone 12b · No frost · 0 chill hours · 36 in rainZone 12b · No frost · 0 chill hours · 912 mm rain

    Shares 17 of your 18 great-fit crops

    86%match
  19. 19

    🇹🇿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 18 great-fit crops · Also great there: canola (rapeseed), barley

    86%match
  20. 20

    🇧🇷ItaobimMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 27 in rainZone 11b · No frost · 0 chill hours · 678 mm rain

    Shares 16 of your 18 great-fit crops

    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 Magole: 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.