Climatch

Land with a climate like Makuyuni, Tanzania

🇹🇿Makuyuni, Arusha, Tanzania

The towns with the closest growing climate to Makuyuni, Tanzania are Kondoa, Tanzania (95% match), Makindu and Kibaigwa. About 90,000 sq mi of land in 4 countries matches 80% or better, most of it in Bahia, Brazil, Dodoma, Tanzania and Arusha, Tanzania.The towns with the closest growing climate to Makuyuni, Tanzania are Kondoa, Tanzania (95% match), Makindu and Kibaigwa. About 232,000 km² of land in 4 countries matches 80% or better, most of it in Bahia, Brazil, Dodoma, Tanzania and Arusha, Tanzania.

Your growing climate

Zone 11b · No frost · 0 chill hours · 21 in rainZone 11b · No frost · 0 chill hours · 535 mm rain

What grows in Makuyuni, Tanzania →

Regions with the most land like yours

  1. 1

    🇧🇷Bahia, Brazil

    25k sq mi64k km² matching 80% or better

    For example Umburanas (91), João Dourado (90)

  2. 2

    🇹🇿Dodoma, Tanzania

    9,800 sq mi25k km² matching 80% or better

    For example Kondoa (95), Kibaigwa (93)

  3. 3

    🇹🇿Arusha, Tanzania

    9,000 sq mi23k km² matching 80% or better

    For example Mbuguni (88), Merelani (86)

  4. 4

    🇹🇿Manyara, Tanzania

    6,000 sq mi15k km² matching 80% or better

    For example Galappo (95), Babati (92)

  5. 5

    🇰🇪Makueni County, Kenya

    5,100 sq mi13k km² matching 80% or better

    For example Emali (94), Makindu (93)

  6. 6

    🇧🇷Pernambuco, Brazil

    3,600 sq mi9,200 km² matching 80% or better

    For example Dormentes (80), Afrânio (78)

  7. 7

    🇰🇪Kajiado County, Kenya

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

    For example Kitengela (80), Kajiado (79)

  8. 8

    🇰🇪Kitui County, Kenya

    2,700 sq mi7,000 km² matching 80% or better

    For example Mwingi (82), Kitui (81)

  9. 9

    🇧🇷Ceará, Brazil

    600 sq mi1,500 km² matching 80% or better

    For example Salitre (82), Araripe (80)

  10. 10

    🇲🇽Oaxaca, Mexico

    600 sq mi1,500 km² matching 80% or better

    For example Miahuatlán de Porfirio Díaz (74), San Antonio de la Cal (65)

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

    🇹🇿KondoaDodoma, Tanzania

    Zone 11b · No frost · 0 chill hours · 26 in rainZone 11b · No frost · 0 chill hours · 657 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: wine grapes, potato, rice

    95%match
  2. 2

    🇰🇪MakinduMakueni County, Kenya

    Zone 12a · No frost · 0 chill hours · 21 in rainZone 12a · No frost · 0 chill hours · 529 mm rain

    Shares 16 of your 16 great-fit crops

    93%match
  3. 3

    🇹🇿KibaigwaDodoma, Tanzania

    Zone 11b · No frost · 0 chill hours · 23 in rainZone 11b · No frost · 0 chill hours · 585 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: wine grapes

    93%match
  4. 4

    🇰🇪Makueni BomaMakueni County, Kenya

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

    Shares 16 of your 16 great-fit crops · Also great there: wine grapes, avocado, potato

    92%match
  5. 5

    🇹🇿BabatiManyara, Tanzania

    Zone 11b · No frost · 0 chill hours · 29 in rainZone 11b · No frost · 0 chill hours · 727 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: wine grapes, potato, avocado

    92%match
  6. 6

    🇧🇷UmburanasBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 19 in rainZone 11b · No frost · 0 chill hours · 472 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: rice, banana, tea

    91%match
  7. 7

    🇰🇪MwalaMachakos County, Kenya

    Zone 11b · No frost · 0 chill hours · 26 in rainZone 11b · No frost · 0 chill hours · 649 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: wine grapes, avocado, potato

    90%match
  8. 8

    🇧🇷IrecêBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 21 in rainZone 11b · No frost · 0 chill hours · 545 mm rain

    Shares 14 of your 16 great-fit crops

    88%match
  9. 9

    🇹🇿KiomboiSingida, Tanzania

    Zone 11b · No frost · 0 chill hours · 25 in rainZone 11b · No frost · 0 chill hours · 641 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: wine grapes, potato, avocado

    88%match
  10. 10

    🇧🇷IbipebaBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 22 in rainZone 11b · No frost · 0 chill hours · 562 mm rain

    Shares 14 of your 16 great-fit crops

    88%match
  11. 11

    🇰🇪TavetaTaita Taveta, Kenya

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

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

    87%match
  12. 12

    🇧🇷América DouradaBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 20 in rainZone 11b · No frost · 0 chill hours · 517 mm rain

    Shares 14 of your 16 great-fit crops

    87%match
  13. 13

    🇹🇿LembeniKilimanjaro, Tanzania

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

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

    87%match
  14. 14

    🇹🇿MerelaniArusha, Tanzania

    Zone 12a · No frost · 0 chill hours · 25 in rainZone 12a · No frost · 0 chill hours · 626 mm rain

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

    86%match
  15. 15

    🇹🇿MwanhuziSimiyu, Tanzania

    Zone 12a · No frost · 0 chill hours · 21 in rainZone 12a · No frost · 0 chill hours · 531 mm rain

    Shares 14 of your 16 great-fit crops

    84%match
  16. 16

    🇧🇷CaculéBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 26 in rainZone 11b · No frost · 0 chill hours · 661 mm rain

    Shares 14 of your 16 great-fit crops · Also great there: avocado, rice, cassava

    84%match
  17. 17

    🇧🇷IbitiaraBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 27 in rainZone 11b · No frost · 0 chill hours · 674 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: wine grapes, avocado, rice

    84%match
  18. 18

    🇧🇷CondeúbaBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 26 in rainZone 11b · No frost · 0 chill hours · 651 mm rain

    Shares 14 of your 16 great-fit crops · Also great there: avocado, rice

    82%match
  19. 19

    🇰🇪MwingiKitui County, Kenya

    Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 680 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: avocado, wine grapes, cassava

    82%match
  20. 20

    🇧🇷ParamirimBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 28 in rainZone 12a · No frost · 0 chill hours · 702 mm rain

    Shares 14 of your 16 great-fit crops · Also great there: avocado, rice, cassava

    82%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 Makuyuni, Tanzania: 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.