Climatch

Land with a climate like Uvinza

🇹🇿Uvinza, Kigoma, Tanzania

The towns with the closest growing climate to Uvinza are Kalemie, Democratic Republic of the Congo (96% match), Kigoma and Ushirombo. About 646,000 sq mi of land in 16 countries matches 80% or better, most of it in Goiás, Brazil, Minas Gerais, Brazil and Bahia, Brazil.The towns with the closest growing climate to Uvinza are Kalemie, Democratic Republic of the Congo (96% match), Kigoma and Ushirombo. About 1.7 million km² of land in 16 countries matches 80% or better, most of it in Goiás, Brazil, Minas Gerais, Brazil and Bahia, Brazil.

Your growing climate

Zone 12a · No frost · 0 chill hours · 34 in rainZone 12a · No frost · 0 chill hours · 863 mm rain

What grows in Uvinza →

Regions with the most land like yours

  1. 1

    🇧🇷Goiás, Brazil

    70k sq mi181k km² matching 80% or better

    For example Posse (92), Formosa (92)

  2. 2

    🇧🇷Minas Gerais, Brazil

    65k sq mi168k km² matching 80% or better

    For example Arinos (91), Brasília de Minas (90)

  3. 3

    🇧🇷Bahia, Brazil

    43k sq mi112k km² matching 80% or better

    For example Luis Eduardo Magalhães (93), São Desidério (91)

  4. 4

    🇨🇩Tanganyika, Democratic Republic of the Congo

    30k sq mi77k km² matching 80% or better

    For example Kalemie (96), Nyunzu (93)

  5. 5

    🇨🇩Haut-Lomami, Democratic Republic of the Congo

    24k sq mi62k km² matching 80% or better

    For example Kamina (88), Mulongo (85)

  6. 6

    🇹🇿Kigoma, Tanzania

    19k sq mi49k km² matching 80% or better

    For example Mwandiga (98), Kigoma (95)

  7. 7

    🇨🇲Adamaoua, Cameroon

    15k sq mi38k km² matching 80% or better

    For example Ngaoundal (83), Tibati (83)

  8. 8

    🇨🇩Lualaba, Democratic Republic of the Congo

    14k sq mi35k km² matching 80% or better

    For example Mwene (83), Malemba (80)

  9. 9

    🇦🇴Malanje, Angola

    11k sq mi29k km² matching 80% or better

    For example Cacuso (84), Bailundo (83)

  10. 10

    🇹🇿Tabora, Tanzania

    11k sq mi29k km² matching 80% or better

    For example Urambo (87), Mambali (86)

  11. 11

    🇿🇲Luapula Province, Zambia

    9,400 sq mi24k km² matching 80% or better

    For example Nchelenge (85), Kawambwa (84)

  12. 12

    🇹🇿Geita, Tanzania

    9,000 sq mi23k km² matching 80% or better

    For example Ushirombo (94), Diobahika (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

    🇨🇩KalemieTanganyika, Democratic Republic of the Congo

    Zone 12a · No frost · 0 chill hours · 37 in rainZone 12a · No frost · 0 chill hours · 933 mm rain

    Shares 21 of your 22 great-fit crops

    96%match
  2. 2

    🇹🇿KigomaTanzania

    Zone 12b · No frost · 0 chill hours · 35 in rainZone 12b · No frost · 0 chill hours · 896 mm rain

    Shares 19 of your 22 great-fit crops

    95%match
  3. 3

    🇹🇿UshiromboGeita, Tanzania

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

    Shares 19 of your 22 great-fit crops

    94%match
  4. 4

    🇧🇷DianópolisTocantins, Brazil

    Zone 12a · No frost · 0 chill hours · 52 in rainZone 12a · No frost · 0 chill hours · 1,316 mm rain

    Shares 18 of your 22 great-fit crops

    94%match
  5. 5

    🇧🇷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 18 of your 22 great-fit crops

    93%match
  6. 6

    🇨🇩NyunzuTanganyika, Democratic Republic of the Congo

    Zone 12a · No frost · 0 chill hours · 40 in rainZone 12a · No frost · 0 chill hours · 1,012 mm rain

    Shares 18 of your 22 great-fit crops

    93%match
  7. 7

    🇨🇩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 22 great-fit crops

    92%match
  8. 8

    🇹🇿UyovuGeita, Tanzania

    Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 784 mm rain

    Shares 20 of your 22 great-fit crops · Also great there: potato

    92%match
  9. 9

    🇧🇷PosseGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 52 in rainZone 12a · No frost · 0 chill hours · 1,316 mm rain

    Shares 18 of your 22 great-fit crops

    92%match
  10. 10

    🇹🇿KakonkoKigoma, Tanzania

    Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 778 mm rain

    Shares 20 of your 22 great-fit crops · Also great there: potato

    92%match
  11. 11

    🇹🇿KahamaShinyanga, Tanzania

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

    Shares 17 of your 22 great-fit crops

    92%match
  12. 12

    🇧🇷ArinosMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 43 in rainZone 11b · No frost · 0 chill hours · 1,099 mm rain

    Shares 19 of your 22 great-fit crops

    91%match
  13. 13

    🇧🇷Padre BernardoGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 54 in rainZone 12a · No frost · 0 chill hours · 1,372 mm rain

    Shares 19 of your 22 great-fit crops

    91%match
  14. 14

    🇧🇷Brasília de MinasMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 36 in rainZone 11a · No frost · 0 chill hours · 915 mm rain

    Shares 21 of your 22 great-fit crops

    90%match
  15. 15

    🇧🇷BuritisMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 43 in rainZone 11b · No frost · 0 chill hours · 1,099 mm rain

    Shares 19 of your 22 great-fit crops

    90%match
  16. 16

    🇧🇷UnaíMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 50 in rainZone 11b · No frost · 0 chill hours · 1,272 mm rain

    Shares 20 of your 22 great-fit crops

    90%match
  17. 17

    🇨🇩KalimaTanganyika, Democratic Republic of the Congo

    Zone 12a · No frost · 0 chill hours · 39 in rainZone 12a · No frost · 0 chill hours · 1,002 mm rain

    Shares 18 of your 22 great-fit crops

    90%match
  18. 18

    🇧🇷CocosBahia, Brazil

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

    Shares 18 of your 22 great-fit crops

    90%match
  19. 19

    🇧🇷João PinheiroMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 50 in rainZone 11b · No frost · 0 chill hours · 1,262 mm rain

    Shares 20 of your 22 great-fit crops · Also great there: coffee (arabica)

    89%match
  20. 20

    🇧🇷NiquelândiaGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 56 in rainZone 12a · No frost · 0 chill hours · 1,417 mm rain

    Shares 18 of your 22 great-fit crops

    89%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 Uvinza: 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.