Climatch

Land with a climate like Nguruka

🇹🇿Nguruka, Kigoma, Tanzania

The towns with the closest growing climate to Nguruka are Baudhuinville, Democratic Republic of the Congo (97% match), Mambali and Tabora. About 362,000 sq mi of land in 8 countries matches 80% or better, most of it in Bahia, Brazil, Northern Province, Zambia and Tabora, Tanzania.The towns with the closest growing climate to Nguruka are Baudhuinville, Democratic Republic of the Congo (97% match), Mambali and Tabora. About 938,000 km² of land in 8 countries matches 80% or better, most of it in Bahia, Brazil, Northern Province, Zambia and Tabora, Tanzania.

Your growing climate

Zone 12a · No frost · 0 chill hours · 32 in rainZone 12a · No frost · 0 chill hours · 804 mm rain

What grows in Nguruka →

Regions with the most land like yours

  1. 1

    🇧🇷Bahia, Brazil

    61k sq mi158k km² matching 80% or better

    For example Correntina (91), Riacho de Santana (90)

  2. 2

    🇿🇲Northern Province, Zambia

    23k sq mi60k km² matching 80% or better

    For example Mbala (87), Mporokoso (84)

  3. 3

    🇹🇿Tabora, Tanzania

    19k sq mi49k km² matching 80% or better

    For example Tumbi (96), Mambali (96)

  4. 4

    🇧🇷Minas Gerais, Brazil

    18k sq mi46k km² matching 80% or better

    For example Varzelândia (86), Monte Azul (84)

  5. 5

    🇿🇲Luapula Province, Zambia

    15k sq mi40k km² matching 80% or better

    For example Nchelenge (91), Mwansabombwe (91)

  6. 6

    🇹🇿Singida, Tanzania

    13k sq mi32k km² matching 80% or better

    For example Kiomboi (92), Shelui (91)

  7. 7

    🇧🇷Piauí, Brazil

    12k sq mi31k km² matching 80% or better

    For example Corrente (85), Bom Jesus (70)

  8. 8

    🇹🇿Kigoma, Tanzania

    11k sq mi29k km² matching 80% or better

    For example Mwandiga (80), Kigoma (79)

  9. 9

    🇿🇲Muchinga, Zambia

    9,100 sq mi24k km² matching 80% or better

    For example Nakonde (86), Isoka (85)

  10. 10

    🇨🇩Tanganyika, Democratic Republic of the Congo

    8,600 sq mi22k km² matching 80% or better

    For example Baudhuinville (97), Kituku (92)

  11. 11

    🇨🇩Haut-Katanga, Democratic Republic of the Congo

    4,700 sq mi12k km² matching 80% or better

    For example Pweto (87), Lubumbashi (67)

  12. 12

    🇨🇩Lualaba, Democratic Republic of the Congo

    4,400 sq mi11k km² matching 80% or better

    For example Malemba (79), Fungurume (73)

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

    🇨🇩BaudhuinvilleTanganyika, Democratic Republic of the Congo

    Zone 11b · No frost · 0 chill hours · 33 in rainZone 11b · No frost · 0 chill hours · 838 mm rain

    Shares 20 of your 20 great-fit crops

    97%match
  2. 2

    🇹🇿MambaliTabora, Tanzania

    Zone 12a · No frost · 0 chill hours · 28 in rainZone 12a · No frost · 0 chill hours · 719 mm rain

    Shares 18 of your 20 great-fit crops

    96%match
  3. 3

    🇹🇿TaboraTanzania

    Zone 12a · No frost · 0 chill hours · 32 in rainZone 12a · No frost · 0 chill hours · 809 mm rain

    Shares 19 of your 20 great-fit crops

    95%match
  4. 4

    🇹🇿UramboTabora, Tanzania

    Zone 12a · No frost · 0 chill hours · 34 in rainZone 12a · No frost · 0 chill hours · 861 mm rain

    Shares 18 of your 20 great-fit crops · Also great there: macadamia

    95%match
  5. 5

    🇹🇿SikongeTabora, Tanzania

    Zone 12a · No frost · 0 chill hours · 29 in rainZone 12a · No frost · 0 chill hours · 749 mm rain

    Shares 18 of your 20 great-fit crops

    93%match
  6. 6

    🇨🇩KitukuTanganyika, Democratic Republic of the Congo

    Zone 12a · No frost · 0 chill hours · 35 in rainZone 12a · No frost · 0 chill hours · 887 mm rain

    Shares 18 of your 20 great-fit crops · Also great there: macadamia

    92%match
  7. 7

    🇹🇿NzegaTabora, Tanzania

    Zone 12a · No frost · 0 chill hours · 26 in rainZone 12a · No frost · 0 chill hours · 650 mm rain

    Shares 16 of your 20 great-fit crops

    92%match
  8. 8

    🇹🇿NamanyereRukwa, Tanzania

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

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

    92%match
  9. 9

    🇿🇲NchelengeLuapula Province, Zambia

    Zone 12a · No frost · 0 chill hours · 40 in rainZone 12a · No frost · 0 chill hours · 1,006 mm rain

    Shares 17 of your 20 great-fit crops · Also great there: macadamia

    91%match
  10. 10

    🇿🇲MwansabombweLuapula Province, Zambia

    Zone 11b · No frost · 0 chill hours · 41 in rainZone 11b · No frost · 0 chill hours · 1,052 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: macadamia

    91%match
  11. 11

    🇹🇿ChimalaMbeya, Tanzania

    Zone 11b · No frost · 0 chill hours · 38 in rainZone 11b · No frost · 0 chill hours · 970 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: macadamia, potato

    91%match
  12. 12

    🇧🇷CorrentinaBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 33 in rainZone 11b · No frost · 0 chill hours · 829 mm rain

    Shares 18 of your 20 great-fit crops

    91%match
  13. 13

    🇧🇷Riacho de SantanaBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 780 mm rain

    Shares 18 of your 20 great-fit crops

    90%match
  14. 14

    🇧🇷Luis Eduardo MagalhãesBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 47 in rainZone 12a · No frost · 0 chill hours · 1,182 mm rain

    Shares 17 of your 20 great-fit crops · Also great there: macadamia

    89%match
  15. 15

    🇧🇷Riachão das NevesBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 34 in rainZone 11b · No frost · 0 chill hours · 858 mm rain

    Shares 16 of your 20 great-fit crops

    89%match
  16. 16

    🇹🇿IgungaTabora, Tanzania

    Zone 12a · No frost · 0 chill hours · 24 in rainZone 12a · No frost · 0 chill hours · 597 mm rain

    Shares 14 of your 20 great-fit crops

    89%match
  17. 17

    🇧🇷Oliveira dos BrejinhosBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 29 in rainZone 12a · No frost · 0 chill hours · 732 mm rain

    Shares 17 of your 20 great-fit crops

    88%match
  18. 18

    🇹🇿MwanhuziSimiyu, Tanzania

    Zone 12a · No frost · 0 chill hours · 21 in rainZone 12a · No frost · 0 chill hours · 531 mm rain

    Shares 14 of your 20 great-fit crops

    88%match
  19. 19

    🇹🇿MatundasiMbeya, Tanzania

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

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

    88%match
  20. 20

    🇹🇿MpandaKatavi, Tanzania

    Zone 12a · No frost · 0 chill hours · 36 in rainZone 12a · No frost · 0 chill hours · 904 mm rain

    Shares 17 of your 20 great-fit crops

    87%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 Nguruka: 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.