Climatch

Land with a climate like Ilembula

🇹🇿Ilembula, Njombe, Tanzania

The towns with the closest growing climate to Ilembula are Iringa, Tanzania (97% match), Chitipa and Mzimba. About 207,000 sq mi of land in 7 countries matches 80% or better, most of it in Central Province, Zambia, Northern Province, Zambia and Muchinga, Zambia.The towns with the closest growing climate to Ilembula are Iringa, Tanzania (97% match), Chitipa and Mzimba. About 537,000 km² of land in 7 countries matches 80% or better, most of it in Central Province, Zambia, Northern Province, Zambia and Muchinga, Zambia.

Your growing climate

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

What grows in Ilembula →

Regions with the most land like yours

  1. 1

    🇿🇲Central Province, Zambia

    15k sq mi40k km² matching 80% or better

    For example Serenje (89), Kapiri Mposhi (83)

  2. 2

    🇿🇲Northern Province, Zambia

    15k sq mi40k km² matching 80% or better

    For example Kasama (84), Mbala (84)

  3. 3

    🇿🇲Muchinga, Zambia

    15k sq mi38k km² matching 80% or better

    For example Isoka (92), Chinsali (89)

  4. 4

    🇲🇼Central Region, Malawi

    12k sq mi32k km² matching 80% or better

    For example Lilongwe (95), Mchinji (94)

  5. 5

    🇹🇿Singida, Tanzania

    11k sq mi29k km² matching 80% or better

    For example Mtinko (94), Ilongero (94)

  6. 6

    🇹🇿Mbeya, Tanzania

    8,900 sq mi23k km² matching 80% or better

    For example Matundasi (94), Utengule (93)

  7. 7

    🇹🇿Dodoma, Tanzania

    8,300 sq mi22k km² matching 80% or better

    For example Kibakwe (94), Kibaigwa (86)

  8. 8

    🇲🇼Northern Region, Malawi

    6,800 sq mi17k km² matching 80% or better

    For example Chitipa (97), Mzimba (96)

  9. 9

    🇨🇩Haut-Katanga, Democratic Republic of the Congo

    6,700 sq mi17k km² matching 80% or better

    For example Mokambo (79), Likasi (77)

  10. 10

    🇿🇼Mashonaland Central, Zimbabwe

    4,300 sq mi11k km² matching 80% or better

    For example Bindura (80), Mvurwi (77)

  11. 11

    🇲🇿Niassa Province, Mozambique

    3,500 sq mi9,000 km² matching 80% or better

    For example Lichinga (93)

  12. 12

    🇨🇩Tanganyika, Democratic Republic of the Congo

    2,400 sq mi6,100 km² matching 80% or better

    For example Pepa (75), Baudhuinville (74)

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 19 of your 23 great-fit crops

    97%match
  2. 2

    🇲🇼ChitipaNorthern Region, Malawi

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

    Shares 22 of your 23 great-fit crops

    97%match
  3. 3

    🇲🇼MzimbaNorthern Region, Malawi

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

    Shares 21 of your 23 great-fit crops · Also great there: lavender

    96%match
  4. 4

    🇲🇼LilongweCentral Region, Malawi

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

    Shares 22 of your 23 great-fit crops · Also great there: lavender

    95%match
  5. 5

    🇹🇿KibakweDodoma, Tanzania

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

    Shares 19 of your 23 great-fit crops

    94%match
  6. 6

    🇲🇼MchinjiCentral Region, Malawi

    Zone 10b · No frost · 30 chill hours · 40 in rainZone 10b · No frost · 30 chill hours · 1,012 mm rain

    Shares 22 of your 23 great-fit crops

    94%match
  7. 7

    🇹🇿MatundasiMbeya, Tanzania

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

    Shares 23 of your 23 great-fit crops

    94%match
  8. 8

    🇲🇼MponelaCentral Region, Malawi

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

    Shares 20 of your 23 great-fit crops · Also great there: lavender

    93%match
  9. 9

    🇲🇿LichingaNiassa Province, Mozambique

    Zone 11a · No frost · 4 chill hours · 42 in rainZone 11a · No frost · 4 chill hours · 1,067 mm rain

    Shares 20 of your 23 great-fit crops

    93%match
  10. 10

    🇹🇿MungaaSingida, Tanzania

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

    Shares 17 of your 23 great-fit crops

    93%match
  11. 11

    🇹🇿UtenguleMbeya, Tanzania

    Zone 11a · No frost · 0 chill hours · 52 in rainZone 11a · No frost · 0 chill hours · 1,332 mm rain

    Shares 21 of your 23 great-fit crops

    93%match
  12. 12

    🇿🇲LundaziEastern Province, Zambia

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

    Shares 22 of your 23 great-fit crops · Also great there: lavender

    93%match
  13. 13

    🇹🇿KigonseraRuvuma, Tanzania

    Zone 11a · No frost · 0 chill hours · 46 in rainZone 11a · No frost · 0 chill hours · 1,158 mm rain

    Shares 22 of your 23 great-fit crops

    93%match
  14. 14

    🇹🇿SingidaTanzania

    Zone 11b · No frost · 0 chill hours · 22 in rainZone 11b · No frost · 0 chill hours · 554 mm rain

    Shares 18 of your 23 great-fit crops

    92%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 22 of your 23 great-fit crops

    92%match
  16. 16

    🇹🇿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 23 great-fit crops

    91%match
  17. 17

    🇹🇿SumbawangaRukwa, Tanzania

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

    Shares 17 of your 23 great-fit crops · Also great there: lavender

    91%match
  18. 18

    🇹🇿MganduSingida, Tanzania

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

    Shares 19 of your 23 great-fit crops

    90%match
  19. 19

    🇹🇿ChalaRukwa, Tanzania

    Zone 10b · No frost · 22 chill hours · 35 in rainZone 10b · No frost · 22 chill hours · 883 mm rain

    Shares 19 of your 23 great-fit crops · Also great there: lavender

    90%match
  20. 20

    🇲🇼RumphiNorthern Region, Malawi

    Zone 11a · No frost · 1 chill hours · 32 in rainZone 11a · No frost · 1 chill hours · 815 mm rain

    Shares 22 of your 23 great-fit crops

    90%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 Ilembula: 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.