Climatch

Land with a climate like Mungaa

🇹🇿Mungaa, Singida, Tanzania

The towns with the closest growing climate to Mungaa are Iringa, Tanzania (98% match), Manyoni and Mgandu. About 107,000 sq mi of land in 4 countries matches 80% or better, most of it in Singida, Tanzania, Dodoma, Tanzania and Central Region, Malawi.The towns with the closest growing climate to Mungaa are Iringa, Tanzania (98% match), Manyoni and Mgandu. About 276,000 km² of land in 4 countries matches 80% or better, most of it in Singida, Tanzania, Dodoma, Tanzania and Central Region, Malawi.

Your growing climate

Zone 11a · No frost · 0 chill hours · 22 in rainZone 11a · No frost · 0 chill hours · 569 mm rain

What grows in Mungaa →

Regions with the most land like yours

  1. 1

    🇹🇿Singida, Tanzania

    15k sq mi38k km² matching 80% or better

    For example Manyoni (97), Mgandu (96)

  2. 2

    🇹🇿Dodoma, Tanzania

    12k sq mi32k km² matching 80% or better

    For example Kibakwe (94), Kondoa (93)

  3. 3

    🇲🇼Central Region, Malawi

    8,700 sq mi23k km² matching 80% or better

    For example Lilongwe (84), Mponela (83)

  4. 4

    🇹🇿Iringa, Tanzania

    8,300 sq mi21k km² matching 80% or better

    For example Iringa (98), Ilula (95)

  5. 5

    🇿🇲Muchinga, Zambia

    7,300 sq mi19k km² matching 80% or better

    For example Isoka (86), Nakonde (84)

  6. 6

    🇲🇼Northern Region, Malawi

    4,400 sq mi11k km² matching 80% or better

    For example Mzimba (85), Chitipa (84)

  7. 7

    🇿🇲Central Province, Zambia

    4,400 sq mi11k km² matching 80% or better

    For example Serenje (82), Kabwe (78)

  8. 8

    🇿🇲Eastern Province, Zambia

    3,500 sq mi9,100 km² matching 80% or better

    For example Lundazi (84), Chipata (80)

  9. 9

    🇨🇩Tanganyika, Democratic Republic of the Congo

    300 sq mi800 km² matching 80% or better

    For example Baudhuinville (67), Pepa (62)

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

    🇹🇿IringaTanzania

    Zone 11b · No frost · 0 chill hours · 24 in rainZone 11b · No frost · 0 chill hours · 611 mm rain

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

    98%match
  2. 2

    🇹🇿ManyoniSingida, Tanzania

    Zone 11b · No frost · 0 chill hours · 21 in rainZone 11b · No frost · 0 chill hours · 538 mm rain

    Shares 16 of your 17 great-fit crops

    97%match
  3. 3

    🇹🇿MganduSingida, Tanzania

    Zone 11b · No frost · 0 chill hours · 22 in rainZone 11b · No frost · 0 chill hours · 564 mm rain

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

    96%match
  4. 4

    🇹🇿KibakweDodoma, Tanzania

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

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

    94%match
  5. 5

    🇹🇿KiomboiSingida, Tanzania

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

    Shares 17 of your 17 great-fit crops · Also great there: mango, avocado, rice

    93%match
  6. 6

    🇹🇿IlembulaNjombe, Tanzania

    Zone 11a · No frost · 0 chill hours · 35 in rainZone 11a · No frost · 0 chill hours · 891 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: rice, avocado, mango

    93%match
  7. 7

    🇹🇿KondoaDodoma, Tanzania

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

    Shares 17 of your 17 great-fit crops · Also great there: mango, rice, avocado

    93%match
  8. 8

    🇹🇿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 17 great-fit crops · Also great there: mango

    91%match
  9. 9

    🇹🇿LaelaRukwa, Tanzania

    Zone 11a · No frost · 0 chill hours · 34 in rainZone 11a · No frost · 0 chill hours · 852 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: avocado, rice, mango

    91%match
  10. 10

    🇹🇿DodomaTanzania

    Zone 11b · No frost · 0 chill hours · 22 in rainZone 11b · No frost · 0 chill hours · 560 mm rain

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

    89%match
  11. 11

    🇹🇿MatundasiMbeya, Tanzania

    Zone 11a · No frost · 0 chill hours · 37 in rainZone 11a · No frost · 0 chill hours · 944 mm rain

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

    87%match
  12. 12

    🇿🇲IsokaMuchinga, Zambia

    Zone 11b · No frost · 0 chill hours · 41 in rainZone 11b · No frost · 0 chill hours · 1,038 mm rain

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

    86%match
  13. 13

    🇲🇼MzimbaNorthern Region, Malawi

    Zone 11a · No frost · 15 chill hours · 36 in rainZone 11a · No frost · 15 chill hours · 904 mm rain

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

    85%match
  14. 14

    🇹🇿SumbawangaRukwa, Tanzania

    Zone 10b · No frost · 79 chill hours · 34 in rainZone 10b · No frost · 79 chill hours · 874 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: avocado, lavender, macadamia

    85%match
  15. 15

    🇲🇼ChitipaNorthern Region, Malawi

    Zone 11a · No frost · 0 chill hours · 42 in rainZone 11a · No frost · 0 chill hours · 1,075 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: avocado, rice, macadamia

    84%match
  16. 16

    🇿🇲LundaziEastern Province, Zambia

    Zone 10b · No frost · 36 chill hours · 35 in rainZone 10b · No frost · 36 chill hours · 884 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: rice, avocado, mango

    84%match
  17. 17

    🇹🇿TundumaSongwe, Tanzania

    Zone 11b · No frost · 0 chill hours · 36 in rainZone 11b · No frost · 0 chill hours · 922 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: avocado, rice, mango

    84%match
  18. 18

    🇲🇼LilongweCentral Region, Malawi

    Zone 10b · No frost · 18 chill hours · 35 in rainZone 10b · No frost · 18 chill hours · 880 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: rice, avocado, mango

    84%match
  19. 19

    🇲🇼MponelaCentral Region, Malawi

    Zone 10b · No frost · 24 chill hours · 33 in rainZone 10b · No frost · 24 chill hours · 848 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: rice, avocado, lavender

    83%match
  20. 20

    🇹🇿NamanyereRukwa, Tanzania

    Zone 11a · No frost · 0 chill hours · 35 in rainZone 11a · No frost · 0 chill hours · 885 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: rice, avocado, mango

    83%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 Mungaa: 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.