Climatch

Land with a climate like Puma

🇹🇿Puma, Singida, Tanzania

The towns with the closest growing climate to Puma are Manyoni, Tanzania (99% match), Mgandu and Iringa. About 129,000 sq mi of land in 5 countries matches 80% or better, most of it in Singida, Tanzania, Dodoma, Tanzania and Iringa, Tanzania.The towns with the closest growing climate to Puma are Manyoni, Tanzania (99% match), Mgandu and Iringa. About 334,000 km² of land in 5 countries matches 80% or better, most of it in Singida, Tanzania, Dodoma, Tanzania and Iringa, Tanzania.

Your growing climate

Zone 11b · No frost · 0 chill hours · 21 in rainZone 11b · No frost · 0 chill hours · 540 mm rain

What grows in Puma →

Regions with the most land like yours

  1. 1

    🇹🇿Singida, Tanzania

    16k sq mi42k km² matching 80% or better

    For example Manyoni (99), Mgandu (99)

  2. 2

    🇹🇿Dodoma, Tanzania

    14k sq mi35k km² matching 80% or better

    For example Dodoma (94), Kondoa (93)

  3. 3

    🇹🇿Iringa, Tanzania

    9,800 sq mi25k km² matching 80% or better

    For example Iringa (97), Ilula (93)

  4. 4

    🇿🇲Muchinga, Zambia

    9,700 sq mi25k km² matching 80% or better

    For example Isoka (88), Nakonde (85)

  5. 5

    🇲🇼Central Region, Malawi

    8,100 sq mi21k km² matching 80% or better

    For example Lilongwe (84), Mponela (83)

  6. 6

    🇿🇲Eastern Province, Zambia

    5,800 sq mi15k km² matching 80% or better

    For example Lundazi (86), Chipata (83)

  7. 7

    🇿🇲Central Province, Zambia

    5,800 sq mi15k km² matching 80% or better

    For example Serenje (81), Kabwe (80)

  8. 8

    🇲🇼Northern Region, Malawi

    3,200 sq mi8,400 km² matching 80% or better

    For example Mzimba (84), Chitipa (83)

  9. 9

    🇨🇩Tanganyika, Democratic Republic of the Congo

    300 sq mi800 km² matching 80% or better

    For example Baudhuinville (73), Kituku (65)

  10. 10

    🇿🇼Mashonaland Central, Zimbabwe

    300 sq mi700 km² matching 80% or better

    For example Bindura (68), Mvurwi (63)

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

    🇹🇿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

    99%match
  2. 2

    🇹🇿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

    99%match
  3. 3

    🇹🇿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

    97%match
  4. 4

    🇹🇿BasotuManyara, Tanzania

    Zone 11a · No frost · 1 chill hours · 22 in rainZone 11a · No frost · 1 chill hours · 569 mm rain

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

    95%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

    94%match
  6. 6

    🇹🇿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

    94%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

    🇹🇿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

    92%match
  9. 9

    🇹🇿RujewaMbeya, Tanzania

    Zone 11b · No frost · 0 chill hours · 28 in rainZone 11b · No frost · 0 chill hours · 707 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: mango, rice, avocado

    92%match
  10. 10

    🇹🇿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

    92%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

    90%match
  12. 12

    🇹🇿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

    90%match
  13. 13

    🇹🇿MataiRukwa, Tanzania

    Zone 11a · No frost · 5 chill hours · 37 in rainZone 11a · No frost · 5 chill hours · 941 mm rain

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

    89%match
  14. 14

    🇹🇿MafingaIringa, Tanzania

    Zone 11b · No frost · 0 chill hours · 17 in rainZone 11b · No frost · 0 chill hours · 443 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: rice, banana, tea

    88%match
  15. 15

    🇿🇲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

    88%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

    86%match
  17. 17

    🇹🇿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

    85%match
  18. 18

    🇹🇿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

    85%match
  19. 19

    🇲🇼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

    84%match
  20. 20

    🇲🇼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

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 Puma: 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.