Climatch

Land with a climate like Mpanda, Tanzania

🇹🇿Mpanda, Katavi, Tanzania

The towns with the closest growing climate to Mpanda, Tanzania are Kaputa, Zambia (99% match), Usevia and Sikonge. About 243,000 sq mi of land in 10 countries matches 80% or better, most of it in Bahia, Brazil, Piauí, Brazil and Tabora, Tanzania.The towns with the closest growing climate to Mpanda, Tanzania are Kaputa, Zambia (99% match), Usevia and Sikonge. About 630,000 km² of land in 10 countries matches 80% or better, most of it in Bahia, Brazil, Piauí, Brazil and Tabora, Tanzania.

Your growing climate

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

What grows in Mpanda, Tanzania →

Regions with the most land like yours

  1. 1

    🇧🇷Bahia, Brazil

    56k sq mi145k km² matching 80% or better

    For example Paratinga (90), Serra do Ramalho (90)

  2. 2

    🇧🇷Piauí, Brazil

    30k sq mi79k km² matching 80% or better

    For example Canto do Buriti (87), Bom Jesus (87)

  3. 3

    🇹🇿Tabora, Tanzania

    19k sq mi49k km² matching 80% or better

    For example Sikonge (97), Tumbi (95)

  4. 4

    🇿🇲Northern Province, Zambia

    8,900 sq mi23k km² matching 80% or better

    For example Kaputa (99), Mpulungu (96)

  5. 5

    🇹🇿Katavi, Tanzania

    7,700 sq mi20k km² matching 80% or better

    For example Usevia (99)

  6. 6

    🇹🇿Rukwa, Tanzania

    7,700 sq mi20k km² matching 80% or better

    For example Kirando (85), Namanyere (73)

  7. 7

    🇿🇲Luapula Province, Zambia

    7,100 sq mi18k km² matching 80% or better

    For example Chiengi (97), Nchelenge (93)

  8. 8

    🇪🇹Bīnshangul Gumuz, Ethiopia

    5,000 sq mi13k km² matching 80% or better

    For example Mambuk (70), Āsosa (70)

  9. 9

    🇧🇷Minas Gerais, Brazil

    4,600 sq mi12k km² matching 80% or better

    For example Itacarambi (85), Januária (84)

  10. 10

    🇨🇩Tanganyika, Democratic Republic of the Congo

    4,200 sq mi11k km² matching 80% or better

    For example Kituku (96), Baudhuinville (87)

  11. 11

    🇨🇩Haut-Katanga, Democratic Republic of the Congo

    4,100 sq mi11k km² matching 80% or better

    For example Pweto (95)

  12. 12

    🇿🇲Muchinga, Zambia

    3,200 sq mi8,400 km² matching 80% or better

    For example Nakonde (65), Isoka (58)

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

    🇿🇲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 17 great-fit crops

    99%match
  2. 2

    🇹🇿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 17 great-fit crops

    99%match
  3. 3

    🇹🇿SikongeTabora, Tanzania

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

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

    97%match
  4. 4

    🇿🇲MpulunguNorthern Province, Zambia

    Zone 12b · No frost · 0 chill hours · 38 in rainZone 12b · No frost · 0 chill hours · 958 mm rain

    Shares 16 of your 17 great-fit crops

    96%match
  5. 5

    🇨🇩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 17 of your 17 great-fit crops · Also great there: wheat, macadamia

    96%match
  6. 6

    🇨🇩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 16 of your 17 great-fit crops · Also great there: macadamia, wheat

    95%match
  7. 7

    🇹🇿TaboraTanzania

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

    Shares 17 of your 17 great-fit crops · Also great there: wheat, canola (rapeseed)

    95%match
  8. 8

    🇹🇿UramboTabora, Tanzania

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

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

    94%match
  9. 9

    🇹🇿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 17 great-fit crops

    94%match
  10. 10

    🇿🇲NchelengeLuapula Province, Zambia

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

    Shares 16 of your 17 great-fit crops · Also great there: macadamia, wheat

    93%match
  11. 11

    🇹🇿MambaliTabora, Tanzania

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

    Shares 16 of your 17 great-fit crops · Also great there: wheat, canola (rapeseed)

    93%match
  12. 12

    🇧🇷ParatingaBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 29 in rainZone 12a · No frost · 0 chill hours · 743 mm rain

    Shares 16 of your 17 great-fit crops

    90%match
  13. 13

    🇧🇷Bom Jesus da LapaBahia, Brazil

    Zone 12b · No frost · 0 chill hours · 28 in rainZone 12b · No frost · 0 chill hours · 708 mm rain

    Shares 15 of your 17 great-fit crops

    90%match
  14. 14

    🇧🇷IbotiramaBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 29 in rainZone 12a · No frost · 0 chill hours · 747 mm rain

    Shares 16 of your 17 great-fit crops

    90%match
  15. 15

    🇧🇷Santa Maria da VitóriaBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 35 in rainZone 12a · No frost · 0 chill hours · 886 mm rain

    Shares 17 of your 17 great-fit crops

    90%match
  16. 16

    🇹🇿SongwaShinyanga, Tanzania

    Zone 12a · No frost · 0 chill hours · 24 in rainZone 12a · No frost · 0 chill hours · 608 mm rain

    Shares 14 of your 17 great-fit crops

    89%match
  17. 17

    🇹🇿ShinyangaTanzania

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

    Shares 14 of your 17 great-fit crops

    89%match
  18. 18

    🇧🇷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 17 great-fit crops

    89%match
  19. 19

    🇧🇷Campo Alegre de LourdesBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 22 in rainZone 12a · No frost · 0 chill hours · 571 mm rain

    Shares 13 of your 17 great-fit crops

    88%match
  20. 20

    🇹🇿NzegaTabora, Tanzania

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

    Shares 15 of your 17 great-fit crops · Also great there: wheat

    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 Mpanda, Tanzania: 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.