Climatch

Land with a climate like Mlangali

🇹🇿Mlangali, Njombe, Tanzania

The towns with the closest growing climate to Mlangali are Mtwango, Tanzania (99% match), Mafinga and Mbeya. About 21,000 sq mi of land in 4 countries matches 80% or better, most of it in Northern Region, Malawi, Njombe, Tanzania and Iringa, Tanzania.The towns with the closest growing climate to Mlangali are Mtwango, Tanzania (99% match), Mafinga and Mbeya. About 54,000 km² of land in 4 countries matches 80% or better, most of it in Northern Region, Malawi, Njombe, Tanzania and Iringa, Tanzania.

Your growing climate

Zone 10b · No frost · 90 chill hours · 47 in rainZone 10b · No frost · 90 chill hours · 1,191 mm rain

What grows in Mlangali →

Regions with the most land like yours

  1. 1

    🇲🇼Northern Region, Malawi

    5,300 sq mi14k km² matching 80% or better

    For example Chitipa (76), Mzimba (76)

  2. 2

    🇹🇿Njombe, Tanzania

    4,100 sq mi11k km² matching 80% or better

    For example Mtwango (99), Makumbako (92)

  3. 3

    🇹🇿Iringa, Tanzania

    2,700 sq mi6,900 km² matching 80% or better

    For example Mafinga (97), Ilula (73)

  4. 4

    🇹🇿Ruvuma, Tanzania

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

    For example Tingi (93), Mbinga (92)

  5. 5

    🇲🇼Central Region, Malawi

    1,200 sq mi3,000 km² matching 80% or better

    For example Dedza (89), Lilongwe (62)

  6. 6

    🇿🇲Eastern Province, Zambia

    300 sq mi800 km² matching 80% or better

  7. 7

    🇲🇿Niassa Province, Mozambique

    300 sq mi800 km² matching 80% or better

    For example Lichinga (84)

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

    🇹🇿MtwangoNjombe, Tanzania

    Zone 10b · No frost · 41 chill hours · 43 in rainZone 10b · No frost · 41 chill hours · 1,086 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: cotton

    99%match
  2. 2

    🇹🇿MafingaIringa, Tanzania

    Zone 10b · No frost · 43 chill hours · 35 in rainZone 10b · No frost · 43 chill hours · 884 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: lavender, table and raisin grapes, cotton

    97%match
  3. 3

    🇹🇿MbeyaTanzania

    Zone 10a · Frost 1 years in 10 · 172 chill hours · 39 in rainZone 10a · Frost 1 years in 10 · 172 chill hours · 995 mm rain

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

    96%match
  4. 4

    🇹🇿TingiRuvuma, Tanzania

    Zone 11a · No frost · 8 chill hours · 52 in rainZone 11a · No frost · 8 chill hours · 1,310 mm rain

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

    93%match
  5. 5

    🇹🇿MbingaRuvuma, Tanzania

    Zone 11a · No frost · 5 chill hours · 47 in rainZone 11a · No frost · 5 chill hours · 1,199 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: citrus, rice, peanut

    92%match
  6. 6

    🇹🇿DongobeshManyara, Tanzania

    Zone 10b · No frost · 35 chill hours · 26 in rainZone 10b · No frost · 35 chill hours · 669 mm rain

    Shares 13 of your 16 great-fit crops · Also great there: lavender

    90%match
  7. 7

    🇲🇼DedzaCentral Region, Malawi

    Zone 10b · No frost · 60 chill hours · 40 in rainZone 10b · No frost · 60 chill hours · 1,016 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: citrus, cotton, rice

    89%match
  8. 8

    🇹🇿KateshManyara, Tanzania

    Zone 11a · No frost · 9 chill hours · 26 in rainZone 11a · No frost · 9 chill hours · 662 mm rain

    Shares 14 of your 16 great-fit crops · Also great there: table and raisin grapes, lavender, cotton

    88%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 15 of your 16 great-fit crops · Also great there: citrus, cotton, peanut

    84%match
  10. 10

    🇹🇿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 16 great-fit crops · Also great there: table and raisin grapes, lavender, cotton

    84%match
  11. 11

    🇹🇿ChalaRukwa, Tanzania

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

    Shares 15 of your 16 great-fit crops · Also great there: table and raisin grapes, cotton, citrus

    77%match
  12. 12

    🇲🇼ChitipaNorthern Region, Malawi

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

    Shares 15 of your 16 great-fit crops · Also great there: citrus, peanut, cotton

    76%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 15 of your 16 great-fit crops · Also great there: citrus, peanut, cotton

    76%match
  14. 14

    🇹🇿KibakweDodoma, Tanzania

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

    Shares 14 of your 16 great-fit crops · Also great there: table and raisin grapes, cotton, peanut

    75%match
  15. 15

    🇹🇿IlulaIringa, Tanzania

    Zone 11b · No frost · 0 chill hours · 29 in rainZone 11b · No frost · 0 chill hours · 725 mm rain

    Shares 14 of your 16 great-fit crops · Also great there: table and raisin grapes, cotton, peanut

    73%match
  16. 16

    🇨🇩PepaTanganyika, Democratic Republic of the Congo

    Zone 10b · No frost · 33 chill hours · 44 in rainZone 10b · No frost · 33 chill hours · 1,113 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: cotton, citrus, rice

    71%match
  17. 17

    🇲🇼RumphiNorthern Region, Malawi

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

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

    70%match
  18. 18

    🇲🇼MzuzuNorthern Region, Malawi

    Zone 10b · No frost · 73 chill hours · 46 in rainZone 10b · No frost · 73 chill hours · 1,173 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: cotton, citrus, peanut

    70%match
  19. 19

    🇬🇹Guatemala City↻Seasons flipped. Guatemala, Guatemala

    Zone 11b · No frost · 0 chill hours · 52 in rainZone 11b · No frost · 0 chill hours · 1,312 mm rain

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

    69%match
  20. 20

    🇹🇿GeiroMorogoro, Tanzania

    Zone 11b · No frost · 0 chill hours · 26 in rainZone 11b · No frost · 0 chill hours · 662 mm rain

    Shares 14 of your 16 great-fit crops · Also great there: peanut, table and raisin grapes, cotton

    69%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 Mlangali: 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.