Climatch

Land with a climate like Usevia

🇹🇿Usevia, Katavi, Tanzania

The towns with the closest growing climate to Usevia are Mpanda, Tanzania (99% match), Mpulungu and Kaputa. About 153,000 sq mi of land in 5 countries matches 80% or better, most of it in Bahia, Brazil, Piauí, Brazil and Tabora, Tanzania.The towns with the closest growing climate to Usevia are Mpanda, Tanzania (99% match), Mpulungu and Kaputa. About 396,000 km² of land in 5 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 · 31 in rainZone 12a · No frost · 0 chill hours · 776 mm rain

What grows in Usevia →

Regions with the most land like yours

  1. 1

    🇧🇷Bahia, Brazil

    34k sq mi87k km² matching 80% or better

    For example Campo Alegre de Lourdes (90), Remanso (88)

  2. 2

    🇧🇷Piauí, Brazil

    24k sq mi61k km² matching 80% or better

    For example Canto do Buriti (85), São Raimundo Nonato (84)

  3. 3

    🇹🇿Tabora, Tanzania

    18k sq mi46k km² matching 80% or better

    For example Sikonge (94), Igunga (92)

  4. 4

    🇹🇿Katavi, Tanzania

    7,400 sq mi19k km² matching 80% or better

    For example Mpanda (99)

  5. 5

    🇹🇿Rukwa, Tanzania

    7,400 sq mi19k km² matching 80% or better

    For example Kirando (92)

  6. 6

    🇿🇲Northern Province, Zambia

    7,100 sq mi18k km² matching 80% or better

    For example Mpulungu (97), Kaputa (97)

  7. 7

    🇿🇲Luapula Province, Zambia

    4,700 sq mi12k km² matching 80% or better

    For example Chiengi (92), Nchelenge (85)

  8. 8

    🇨🇩Tanganyika, Democratic Republic of the Congo

    3,000 sq mi7,700 km² matching 80% or better

    For example Kituku (94), Baudhuinville (80)

  9. 9

    🇪🇹Bīnshangul Gumuz, Ethiopia

    2,900 sq mi7,600 km² matching 80% or better

    For example Mambuk (58), Āsosa (52)

  10. 10

    🇨🇩Haut-Katanga, Democratic Republic of the Congo

    1,500 sq mi3,800 km² matching 80% or better

    For example Pweto (88)

  11. 11

    🇿🇲Eastern Province, Zambia

    900 sq mi2,300 km² matching 80% or better

    For example Nyimba (64)

  12. 12

    🇧🇷Pernambuco, Brazil

    600 sq mi1,500 km² matching 80% or better

    For example Afrânio (64), Dormentes (61)

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

    🇹🇿MpandaKatavi, Tanzania

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

    Shares 16 of your 16 great-fit crops · Also great there: avocado

    99%match
  2. 2

    🇿🇲MpulunguNorthern Province, Zambia

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

    Shares 15 of your 16 great-fit crops · Also great there: avocado

    97%match
  3. 3

    🇿🇲KaputaNorthern Province, Zambia

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

    Shares 16 of your 16 great-fit crops · Also great there: avocado

    97%match
  4. 4

    🇹🇿SikongeTabora, Tanzania

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

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

    94%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 16 of your 16 great-fit crops · Also great there: avocado, wheat, macadamia

    94%match
  6. 6

    🇹🇿IgungaTabora, Tanzania

    Zone 12a · No frost · 0 chill hours · 24 in rainZone 12a · No frost · 0 chill hours · 597 mm rain

    Shares 13 of your 16 great-fit crops · Also great there: avocado

    92%match
  7. 7

    🇹🇿KirandoRukwa, Tanzania

    Zone 12b · No frost · 0 chill hours · 31 in rainZone 12b · No frost · 0 chill hours · 785 mm rain

    Shares 14 of your 16 great-fit crops

    92%match
  8. 8

    🇧🇷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 16 great-fit crops

    90%match
  9. 9

    🇹🇿TaboraTanzania

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

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

    89%match
  10. 10

    🇧🇷RemansoBahia, Brazil

    Zone 12b · No frost · 0 chill hours · 21 in rainZone 12b · No frost · 0 chill hours · 531 mm rain

    Shares 12 of your 16 great-fit crops

    88%match
  11. 11

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

    88%match
  12. 12

    🇹🇿UramboTabora, Tanzania

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

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

    87%match
  13. 13

    🇧🇷Pilão ArcadoBahia, Brazil

    Zone 12b · No frost · 0 chill hours · 22 in rainZone 12b · No frost · 0 chill hours · 557 mm rain

    Shares 12 of your 16 great-fit crops

    86%match
  14. 14

    🇧🇷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 16 great-fit crops

    86%match
  15. 15

    🇧🇷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 16 great-fit crops

    86%match
  16. 16

    🇹🇿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 16 great-fit crops · Also great there: wheat, avocado, canola (rapeseed)

    86%match
  17. 17

    🇧🇷Canto do BuritiPiauí, Brazil

    Zone 12b · No frost · 0 chill hours · 30 in rainZone 12b · No frost · 0 chill hours · 757 mm rain

    Shares 15 of your 16 great-fit crops

    85%match
  18. 18

    🇧🇷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 16 great-fit crops

    85%match
  19. 19

    🇹🇿KishapuShinyanga, Tanzania

    Zone 12a · No frost · 0 chill hours · 24 in rainZone 12a · No frost · 0 chill hours · 598 mm rain

    Shares 13 of your 16 great-fit crops · Also great there: wheat, avocado

    85%match
  20. 20

    🇧🇷Xique-XiqueBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 22 in rainZone 12a · No frost · 0 chill hours · 569 mm rain

    Shares 12 of your 16 great-fit crops

    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 Usevia: 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.