Climatch

Land with a climate like Mabama

🇹🇿Mabama, Tabora, Tanzania

The towns with the closest growing climate to Mabama are Nzega, Tanzania (99% match), Igunga and Isaka. About 286,000 sq mi of land in 10 countries matches 80% or better, most of it in Bahia, Brazil, Tabora, Tanzania and Piauí, Brazil.The towns with the closest growing climate to Mabama are Nzega, Tanzania (99% match), Igunga and Isaka. About 741,000 km² of land in 10 countries matches 80% or better, most of it in Bahia, Brazil, Tabora, Tanzania and Piauí, Brazil.

Your growing climate

Zone 12a · No frost · 0 chill hours · 32 in rainZone 12a · No frost · 0 chill hours · 817 mm rain

What grows in Mabama →

Regions with the most land like yours

  1. 1

    🇧🇷Bahia, Brazil

    61k sq mi158k km² matching 80% or better

    For example Santana (89), Buritirama (87)

  2. 2

    🇹🇿Tabora, Tanzania

    19k sq mi49k km² matching 80% or better

    For example Nzega (99), Igunga (98)

  3. 3

    🇧🇷Piauí, Brazil

    17k sq mi44k km² matching 80% or better

    For example Corrente (82), Bom Jesus (80)

  4. 4

    🇿🇲Northern Province, Zambia

    14k sq mi35k km² matching 80% or better

    For example Kaputa (92), Mporokoso (84)

  5. 5

    🇿🇲Luapula Province, Zambia

    9,400 sq mi24k km² matching 80% or better

    For example Chiengi (91), Nchelenge (91)

  6. 6

    🇹🇿Katavi, Tanzania

    8,300 sq mi22k km² matching 80% or better

    For example Mpanda (94), Usevia (88)

  7. 7

    🇹🇿Rukwa, Tanzania

    7,700 sq mi20k km² matching 80% or better

    For example Namanyere (88), Laela (75)

  8. 8

    🇧🇷Minas Gerais, Brazil

    7,500 sq mi19k km² matching 80% or better

    For example Itacarambi (84), Januária (84)

  9. 9

    🇿🇲Muchinga, Zambia

    6,500 sq mi17k km² matching 80% or better

    For example Nakonde (82), Isoka (76)

  10. 10

    🇪🇹Bīnshangul Gumuz, Ethiopia

    5,900 sq mi15k km² matching 80% or better

    For example Āsosa (86), Mambuk (81)

  11. 11

    🇮🇳Karnataka, India

    4,900 sq mi13k km² matching 80% or better

    For example Mudalgi (82), Terdāl (81)

  12. 12

    🇨🇩Tanganyika, Democratic Republic of the Congo

    4,400 sq mi12k km² matching 80% or better

    For example Baudhuinville (93), Kituku (93)

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

    🇹🇿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 19 great-fit crops

    99%match
  2. 2

    🇹🇿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 19 great-fit crops

    98%match
  3. 3

    🇹🇿IsakaShinyanga, Tanzania

    Zone 12a · No frost · 0 chill hours · 26 in rainZone 12a · No frost · 0 chill hours · 657 mm rain

    Shares 15 of your 19 great-fit crops

    97%match
  4. 4

    🇹🇿ShinyangaTanzania

    Zone 12a · No frost · 0 chill hours · 25 in rainZone 12a · No frost · 0 chill hours · 631 mm rain

    Shares 14 of your 19 great-fit crops

    95%match
  5. 5

    🇹🇿NgurukaKigoma, Tanzania

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

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

    94%match
  6. 6

    🇹🇿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 19 great-fit crops

    94%match
  7. 7

    🇹🇿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 19 great-fit crops

    94%match
  8. 8

    🇹🇿Old ShinyangaShinyanga, Tanzania

    Zone 12a · No frost · 0 chill hours · 25 in rainZone 12a · No frost · 0 chill hours · 636 mm rain

    Shares 15 of your 19 great-fit crops

    94%match
  9. 9

    🇨🇩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 19 of your 19 great-fit crops · Also great there: barley

    93%match
  10. 10

    🇹🇿SomandaSimiyu, Tanzania

    Zone 12a · No frost · 0 chill hours · 24 in rainZone 12a · No frost · 0 chill hours · 602 mm rain

    Shares 15 of your 19 great-fit crops

    93%match
  11. 11

    🇨🇩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 19 great-fit crops · Also great there: macadamia

    93%match
  12. 12

    🇿🇲KaputaNorthern Province, Zambia

    Zone 12a · No frost · 0 chill hours · 36 in rainZone 12a · No frost · 0 chill hours · 925 mm rain

    Shares 17 of your 19 great-fit crops

    92%match
  13. 13

    🇿🇲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 19 great-fit crops · Also great there: macadamia

    91%match
  14. 14

    🇿🇲MwansabombweLuapula Province, Zambia

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

    Shares 18 of your 19 great-fit crops · Also great there: macadamia, barley

    90%match
  15. 15

    🇧🇷SantanaBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 33 in rainZone 12a · No frost · 0 chill hours · 841 mm rain

    Shares 17 of your 19 great-fit crops

    89%match
  16. 16

    🇹🇿MakongolosiMbeya, Tanzania

    Zone 11b · No frost · 0 chill hours · 37 in rainZone 11b · No frost · 0 chill hours · 952 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: barley, macadamia, potato

    89%match
  17. 17

    🇨🇩PwetoHaut-Katanga, Democratic Republic of the Congo

    Zone 12a · No frost · 0 chill hours · 39 in rainZone 12a · No frost · 0 chill hours · 996 mm rain

    Shares 17 of your 19 great-fit crops · Also great there: macadamia

    89%match
  18. 18

    🇹🇿NamanyereRukwa, Tanzania

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

    Shares 19 of your 19 great-fit crops · Also great there: barley, wine grapes, potato

    88%match
  19. 19

    🇹🇿UseviaKatavi, Tanzania

    Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 776 mm rain

    Shares 16 of your 19 great-fit crops

    88%match
  20. 20

    🇹🇿MasumbweGeita, Tanzania

    Zone 12a · No frost · 0 chill hours · 28 in rainZone 12a · No frost · 0 chill hours · 701 mm rain

    Shares 17 of your 19 great-fit crops

    88%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 Mabama: 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.