Climatch

Land with a climate like Boma la Ngombe

🇹🇿Boma la Ngombe, Kilimanjaro, Tanzania

The towns with the closest growing climate to Boma la Ngombe are Same, Tanzania (97% match), Hedaru and Mazinde. About 62,000 sq mi of land in 6 countries matches 80% or better, most of it in Bahia, Brazil, Kilimanjaro, Tanzania and Tanga, Tanzania.The towns with the closest growing climate to Boma la Ngombe are Same, Tanzania (97% match), Hedaru and Mazinde. About 160,000 km² of land in 6 countries matches 80% or better, most of it in Bahia, Brazil, Kilimanjaro, Tanzania and Tanga, Tanzania.

Your growing climate

Zone 11b · No frost · 0 chill hours · 30 in rainZone 11b · No frost · 0 chill hours · 758 mm rain

What grows in Boma la Ngombe →

Regions with the most land like yours

  1. 1

    🇧🇷Bahia, Brazil

    19k sq mi50k km² matching 80% or better

    For example Souto Soares (86), Vera Cruz (85)

  2. 2

    🇹🇿Kilimanjaro, Tanzania

    9,000 sq mi23k km² matching 80% or better

    For example Same (97), Hedaru (95)

  3. 3

    🇹🇿Tanga, Tanzania

    4,200 sq mi11k km² matching 80% or better

    For example Mazinde (92), Makuyuni (87)

  4. 4

    🇹🇿Morogoro, Tanzania

    4,200 sq mi11k km² matching 80% or better

    For example Lubata (78), Kilosa (77)

  5. 5

    🇰🇪Taita Taveta, Kenya

    3,900 sq mi10k km² matching 80% or better

    For example Voi (84)

  6. 6

    🇰🇪Kajiado County, Kenya

    3,000 sq mi7,700 km² matching 80% or better

    For example Kitengela (88), Ongata Rongai (87)

  7. 7

    🇰🇪Makueni County, Kenya

    1,500 sq mi3,900 km² matching 80% or better

    For example Emali (80), Wote (75)

  8. 8

    🇧🇷Pernambuco, Brazil

    900 sq mi2,300 km² matching 80% or better

    For example Serra Talhada (77), Sertânia (77)

  9. 9

    🇧🇷Ceará, Brazil

    600 sq mi1,500 km² matching 80% or better

    For example Jardim (83), Porteiras (76)

  10. 10

    🇭🇳El Paraíso Department, Honduras

    300 sq mi800 km² matching 80% or better

    For example Teupasenti (77), El Paraíso (74)

  11. 11

    🇭🇳Francisco Morazán Department, Honduras

    300 sq mi800 km² matching 80% or better

    For example San Juan de Flores (80), Tegucigalpa (78)

  12. 12

    🇲🇽Chiapas, Mexico

    300 sq mi700 km² matching 80% or better

    For example Ocozocoautla de Espinosa (75), Berriozábal (75)

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

    🇹🇿SameKilimanjaro, Tanzania

    Zone 12a · No frost · 0 chill hours · 30 in rainZone 12a · No frost · 0 chill hours · 752 mm rain

    Shares 19 of your 21 great-fit crops

    97%match
  2. 2

    🇹🇿HedaruKilimanjaro, Tanzania

    Zone 11b · No frost · 0 chill hours · 24 in rainZone 11b · No frost · 0 chill hours · 613 mm rain

    Shares 17 of your 21 great-fit crops

    95%match
  3. 3

    🇹🇿MazindeTanga, Tanzania

    Zone 12a · No frost · 0 chill hours · 25 in rainZone 12a · No frost · 0 chill hours · 623 mm rain

    Shares 17 of your 21 great-fit crops

    92%match
  4. 4

    🇰🇪KaruriMurang'A, Kenya

    Zone 11b · No frost · 0 chill hours · 41 in rainZone 11b · No frost · 0 chill hours · 1,048 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: macadamia, wine grapes, coffee (arabica)

    89%match
  5. 5

    🇹🇿KiratuArusha, Tanzania

    Zone 11b · No frost · 0 chill hours · 30 in rainZone 11b · No frost · 0 chill hours · 764 mm rain

    Shares 17 of your 21 great-fit crops · Also great there: wine grapes

    86%match
  6. 6

    🇰🇪NairobiNairobi County, Kenya

    Zone 11b · No frost · 0 chill hours · 35 in rainZone 11b · No frost · 0 chill hours · 900 mm rain

    Shares 18 of your 21 great-fit crops · Also great there: wine grapes, macadamia

    86%match
  7. 7

    🇹🇿HandeniTanga, Tanzania

    Zone 11b · No frost · 0 chill hours · 34 in rainZone 11b · No frost · 0 chill hours · 857 mm rain

    Shares 21 of your 21 great-fit crops

    85%match
  8. 8

    🇧🇷Vera CruzBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 28 in rainZone 12a · No frost · 0 chill hours · 710 mm rain

    Shares 18 of your 21 great-fit crops

    85%match
  9. 9

    🇧🇷UtingaBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 23 in rainZone 11b · No frost · 0 chill hours · 595 mm rain

    Shares 14 of your 21 great-fit crops

    84%match
  10. 10

    🇰🇪KajiadoKajiado County, Kenya

    Zone 11b · No frost · 0 chill hours · 19 in rainZone 11b · No frost · 0 chill hours · 491 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: wine grapes, tea, macadamia

    84%match
  11. 11

    🇧🇷JaguarariBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 27 in rainZone 11b · No frost · 0 chill hours · 688 mm rain

    Shares 16 of your 21 great-fit crops

    84%match
  12. 12

    🇧🇷SeabraBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 25 in rainZone 11b · No frost · 0 chill hours · 639 mm rain

    Shares 17 of your 21 great-fit crops · Also great there: wine grapes

    84%match
  13. 13

    🇰🇪VoiTaita Taveta, Kenya

    Zone 12a · No frost · 0 chill hours · 30 in rainZone 12a · No frost · 0 chill hours · 756 mm rain

    Shares 18 of your 21 great-fit crops

    84%match
  14. 14

    🇧🇷CafarnaumBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 22 in rainZone 11b · No frost · 0 chill hours · 563 mm rain

    Shares 14 of your 21 great-fit crops

    84%match
  15. 15

    🇧🇷JardimCeará, Brazil

    Zone 11b · No frost · 0 chill hours · 32 in rainZone 11b · No frost · 0 chill hours · 803 mm rain

    Shares 21 of your 21 great-fit crops · Also great there: wine grapes

    83%match
  16. 16

    🇧🇷UauáBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 17 in rainZone 12a · No frost · 0 chill hours · 438 mm rain

    Shares 21 of your 21 great-fit crops · Also great there: banana, tea, cacao

    82%match
  17. 17

    🇧🇷Monte SantoBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 23 in rainZone 12a · No frost · 0 chill hours · 583 mm rain

    Shares 12 of your 21 great-fit crops

    82%match
  18. 18

    🇧🇷CanudosBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 17 in rainZone 12a · No frost · 0 chill hours · 426 mm rain

    Shares 21 of your 21 great-fit crops · Also great there: banana, tea, cacao

    81%match
  19. 19

    🇧🇷ItiúbaBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 26 in rainZone 12a · No frost · 0 chill hours · 649 mm rain

    Shares 15 of your 21 great-fit crops

    79%match
  20. 20

    🇹🇿MusomaMara, Tanzania

    Zone 12b · No frost · 0 chill hours · 31 in rainZone 12b · No frost · 0 chill hours · 785 mm rain

    Shares 18 of your 21 great-fit crops

    79%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 Boma la Ngombe: 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.