Climatch

Land with a climate like Mwadui

🇹🇿Mwadui, Shinyanga, Tanzania

The towns with the closest growing climate to Mwadui are Mwanhuzi, Tanzania (99% match), Kahama and Nzega. About 227,000 sq mi of land in 8 countries matches 80% or better, most of it in Bahia, Brazil, Tabora, Tanzania and Piauí, Brazil.The towns with the closest growing climate to Mwadui are Mwanhuzi, Tanzania (99% match), Kahama and Nzega. About 588,000 km² of land in 8 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 · 25 in rainZone 12a · No frost · 0 chill hours · 642 mm rain

What grows in Mwadui →

Regions with the most land like yours

  1. 1

    🇧🇷Bahia, Brazil

    61k sq mi159k km² matching 80% or better

    For example Macaúbas (89), Santana (88)

  2. 2

    🇹🇿Tabora, Tanzania

    19k sq mi49k km² matching 80% or better

    For example Nzega (98), Mambali (97)

  3. 3

    🇧🇷Piauí, Brazil

    18k sq mi47k km² matching 80% or better

    For example Inhuma (83), Bom Jesus (80)

  4. 4

    🇧🇷Minas Gerais, Brazil

    13k sq mi33k km² matching 80% or better

    For example Januária (83), Itacarambi (83)

  5. 5

    🇹🇿Katavi, Tanzania

    7,400 sq mi19k km² matching 80% or better

    For example Mpanda (88), Usevia (79)

  6. 6

    🇹🇿Shinyanga, Tanzania

    7,200 sq mi19k km² matching 80% or better

    For example Isaka (99), Kahama (99)

  7. 7

    🇿🇲Northern Province, Zambia

    6,200 sq mi16k km² matching 80% or better

    For example Kaputa (84), Mpulungu (75)

  8. 8

    🇮🇳Karnataka, India

    5,500 sq mi14k km² matching 80% or better

    For example Nargund (82), Kushtagi (82)

  9. 9

    🇿🇲Luapula Province, Zambia

    5,000 sq mi13k km² matching 80% or better

    For example Chiengi (84), Nchelenge (82)

  10. 10

    🇨🇩Tanganyika, Democratic Republic of the Congo

    4,200 sq mi11k km² matching 80% or better

    For example Baudhuinville (87), Kituku (82)

  11. 11

    🇨🇩Haut-Katanga, Democratic Republic of the Congo

    3,800 sq mi10,000 km² matching 80% or better

    For example Pweto (83)

  12. 12

    🇲🇽Oaxaca, Mexico

    2,300 sq mi5,900 km² matching 80% or better

    For example Oaxaca (70), Miahuatlán de Porfirio Díaz (70)

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

    🇹🇿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 15 great-fit crops

    99%match
  2. 2

    🇹🇿KahamaShinyanga, Tanzania

    Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 674 mm rain

    Shares 15 of your 15 great-fit crops · Also great there: canola (rapeseed), cassava

    99%match
  3. 3

    🇹🇿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 15 great-fit crops · Also great there: rice

    98%match
  4. 4

    🇹🇿MambaliTabora, Tanzania

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

    Shares 15 of your 15 great-fit crops · Also great there: rice, cassava, canola (rapeseed)

    97%match
  5. 5

    🇹🇿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 15 great-fit crops

    97%match
  6. 6

    🇹🇿UramboTabora, Tanzania

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

    Shares 15 of your 15 great-fit crops · Also great there: cassava, rice, sugarcane

    96%match
  7. 7

    🇹🇿MhangoShinyanga, Tanzania

    Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 697 mm rain

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

    95%match
  8. 8

    🇹🇿TaboraTanzania

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

    Shares 15 of your 15 great-fit crops · Also great there: cassava, rice, sugarcane

    95%match
  9. 9

    🇹🇿BariadiSimiyu, Tanzania

    Zone 12a · No frost · 0 chill hours · 25 in rainZone 12a · No frost · 0 chill hours · 644 mm rain

    Shares 15 of your 15 great-fit crops · Also great there: canola (rapeseed)

    92%match
  10. 10

    🇹🇿SikongeTabora, Tanzania

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

    Shares 15 of your 15 great-fit crops · Also great there: rice, cassava, sugarcane

    90%match
  11. 11

    🇹🇿UshiromboGeita, Tanzania

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

    Shares 15 of your 15 great-fit crops · Also great there: cassava, canola (rapeseed), sugarcane

    89%match
  12. 12

    🇧🇷MacaúbasBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 29 in rainZone 12a · No frost · 0 chill hours · 731 mm rain

    Shares 15 of your 15 great-fit crops · Also great there: rice, cassava, sugarcane

    89%match
  13. 13

    🇧🇷SantanaBahia, Brazil

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

    Shares 14 of your 15 great-fit crops · Also great there: cassava, rice, sugarcane

    88%match
  14. 14

    🇹🇿MpandaKatavi, Tanzania

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

    Shares 14 of your 15 great-fit crops · Also great there: cassava, rice, sugarcane

    88%match
  15. 15

    🇨🇩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 15 of your 15 great-fit crops · Also great there: rice, cassava, sugarcane

    87%match
  16. 16

    🇹🇿MisungwiMwanza, Tanzania

    Zone 12a · No frost · 0 chill hours · 30 in rainZone 12a · No frost · 0 chill hours · 764 mm rain

    Shares 15 of your 15 great-fit crops · Also great there: cassava, sugarcane

    87%match
  17. 17

    🇹🇿NgurukaKigoma, Tanzania

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

    Shares 15 of your 15 great-fit crops · Also great there: cassava, rice, canola (rapeseed)

    87%match
  18. 18

    🇧🇷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 13 of your 15 great-fit crops · Also great there: rice, cassava

    87%match
  19. 19

    🇧🇷CocosBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 32 in rainZone 11b · No frost · 0 chill hours · 810 mm rain

    Shares 15 of your 15 great-fit crops · Also great there: rice, cassava, sugarcane

    87%match
  20. 20

    🇧🇷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 14 of your 15 great-fit crops · Also great there: rice, cassava, sugarcane

    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 Mwadui: 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.