Climatch

Land with a climate like Old Shinyanga

🇹🇿Old Shinyanga, Shinyanga, Tanzania

The towns with the closest growing climate to Old Shinyanga are Kahama, Tanzania (99% match), Nzega and Mwanhuzi. About 201,000 sq mi of land in 9 countries matches 80% or better, most of it in Bahia, Brazil, Tabora, Tanzania and Piauí, Brazil.The towns with the closest growing climate to Old Shinyanga are Kahama, Tanzania (99% match), Nzega and Mwanhuzi. About 520,000 km² of land in 9 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 · 636 mm rain

What grows in Old Shinyanga →

Regions with the most land like yours

  1. 1

    🇧🇷Bahia, Brazil

    49k sq mi126k km² matching 80% or better

    For example Santana (88), Macaúbas (87)

  2. 2

    🇹🇿Tabora, Tanzania

    19k sq mi49k km² matching 80% or better

    For example Nzega (99), Mambali (96)

  3. 3

    🇧🇷Piauí, Brazil

    14k sq mi37k km² matching 80% or better

    For example Inhuma (83), Bom Jesus (79)

  4. 4

    🇮🇳Karnataka, India

    11k sq mi29k km² matching 80% or better

    For example Nargund (85), Kushtagi (84)

  5. 5

    🇧🇷Minas Gerais, Brazil

    10k sq mi27k km² matching 80% or better

    For example Barreiro do Jaíba (83), Januária (83)

  6. 6

    🇹🇿Shinyanga, Tanzania

    7,200 sq mi19k km² matching 80% or better

    For example Kahama (99)

  7. 7

    🇹🇿Katavi, Tanzania

    6,800 sq mi18k km² matching 80% or better

    For example Mpanda (86), Usevia (75)

  8. 8

    🇿🇲Northern Province, Zambia

    4,700 sq mi12k km² matching 80% or better

    For example Kaputa (84), Mpulungu (70)

  9. 9

    🇨🇩Tanganyika, Democratic Republic of the Congo

    4,500 sq mi12k km² matching 80% or better

    For example Baudhuinville (84), Kituku (77)

  10. 10

    🇨🇩Haut-Katanga, Democratic Republic of the Congo

    3,600 sq mi9,200 km² matching 80% or better

    For example Pweto (82)

  11. 11

    🇿🇲Luapula Province, Zambia

    2,700 sq mi6,900 km² matching 80% or better

    For example Chiengi (83), Nchelenge (80)

  12. 12

    🇰🇪Kajiado County, Kenya

    1,800 sq mi4,600 km² matching 80% or better

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

    🇹🇿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
  2. 2

    🇹🇿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

    99%match
  3. 3

    🇹🇿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

    97%match
  4. 4

    🇹🇿MasumbweGeita, Tanzania

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

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

    97%match
  5. 5

    🇹🇿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)

    96%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

    🇹🇿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

    95%match
  8. 8

    🇹🇿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)

    93%match
  9. 9

    🇹🇿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

    93%match
  10. 10

    🇹🇿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

    90%match
  11. 11

    🇧🇷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
  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

    87%match
  13. 13

    🇧🇷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

    86%match
  14. 14

    🇧🇷Oliveira dos BrejinhosBahia, Brazil

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

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

    86%match
  15. 15

    🇧🇷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

    86%match
  16. 16

    🇧🇷BarreirasBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 37 in rainZone 11b · No frost · 0 chill hours · 951 mm rain

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

    86%match
  17. 17

    🇹🇿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

    86%match
  18. 18

    🇹🇿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

    85%match
  19. 19

    🇧🇷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

    85%match
  20. 20

    🇹🇿MaguMwanza, Tanzania

    Zone 12a · No frost · 0 chill hours · 30 in rainZone 12a · No frost · 0 chill hours · 750 mm rain

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

    85%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 Old Shinyanga: 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.