Climatch

Land with a climate like Mwandiga

🇹🇿Mwandiga, Kigoma, Tanzania

The towns with the closest growing climate to Mwandiga are Kalemie, Democratic Republic of the Congo (99% match), Rumonge and Uvinza. About 764,000 sq mi of land in 18 countries matches 80% or better, most of it in Goiás, Brazil, Minas Gerais, Brazil and Tocantins, Brazil.The towns with the closest growing climate to Mwandiga are Kalemie, Democratic Republic of the Congo (99% match), Rumonge and Uvinza. About 2.0 million km² of land in 18 countries matches 80% or better, most of it in Goiás, Brazil, Minas Gerais, Brazil and Tocantins, Brazil.

Your growing climate

Zone 12a · No frost · 0 chill hours · 37 in rainZone 12a · No frost · 0 chill hours · 937 mm rain

What grows in Mwandiga →

Regions with the most land like yours

  1. 1

    🇧🇷Goiás, Brazil

    103k sq mi268k km² matching 80% or better

    For example Posse (92), Padre Bernardo (92)

  2. 2

    🇧🇷Minas Gerais, Brazil

    39k sq mi101k km² matching 80% or better

    For example Buritis (89), Unaí (89)

  3. 3

    🇧🇷Tocantins, Brazil

    35k sq mi91k km² matching 80% or better

    For example Dianópolis (91), Paraíso do Tocantins (85)

  4. 4

    🇨🇩Tanganyika, Democratic Republic of the Congo

    31k sq mi81k km² matching 80% or better

    For example Kalemie (99), Kalima (95)

  5. 5

    🇨🇩Haut-Lomami, Democratic Republic of the Congo

    20k sq mi53k km² matching 80% or better

    For example Mulongo (87), Kanyama (85)

  6. 6

    🇹🇿Kigoma, Tanzania

    19k sq mi49k km² matching 80% or better

    For example Uvinza (98), Kakonko (93)

  7. 7

    🇦🇴Luanda Norte, Angola

    18k sq mi46k km² matching 80% or better

    For example Cassanguidi (84), Lucapa (83)

  8. 8

    🇨🇩Lomami, Democratic Republic of the Congo

    13k sq mi35k km² matching 80% or better

    For example Luputa (82), Kabinda (81)

  9. 9

    🇨🇲Adamaoua, Cameroon

    12k sq mi30k km² matching 80% or better

    For example Tibati (86), Ngaoundal (84)

  10. 10

    🇨🇲East, Cameroon

    11k sq mi28k km² matching 80% or better

    For example Garoua Boulaï (89), Bélabo (86)

  11. 11

    🇨🇫Ombella-M'Poko, Central African Republic

    11k sq mi28k km² matching 80% or better

    For example Yaloké (83), Bossembélé (82)

  12. 12

    🇨🇫Nana-Mambéré, Central African Republic

    11k sq mi28k km² matching 80% or better

    For example Abba (90), Baboua (89)

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 20 of your 20 great-fit crops · Also great there: barley

    99%match
  2. 2

    🇧🇮RumongeBurundi

    Zone 12b · No frost · 0 chill hours · 38 in rainZone 12b · No frost · 0 chill hours · 977 mm rain

    Shares 19 of your 20 great-fit crops

    98%match
  3. 3

    🇹🇿UvinzaKigoma, Tanzania

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

    Shares 20 of your 20 great-fit crops · Also great there: wine grapes, barley

    98%match
  4. 4

    🇨🇩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 20 great-fit crops

    95%match
  5. 5

    🇨🇩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 20 great-fit crops

    95%match
  6. 6

    🇹🇿ChatoGeita, Tanzania

    Zone 12a · No frost · 0 chill hours · 29 in rainZone 12a · No frost · 0 chill hours · 736 mm rain

    Shares 18 of your 20 great-fit crops · Also great there: wine grapes, barley

    94%match
  7. 7

    🇧🇮MpandaBubanza, Burundi

    Zone 12b · No frost · 0 chill hours · 32 in rainZone 12b · No frost · 0 chill hours · 807 mm rain

    Shares 17 of your 20 great-fit crops

    94%match
  8. 8

    🇹🇿UshiromboGeita, Tanzania

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

    Shares 18 of your 20 great-fit crops · Also great there: barley

    93%match
  9. 9

    🇹🇿UyovuGeita, Tanzania

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

    Shares 18 of your 20 great-fit crops · Also great there: wine grapes, barley, potato

    93%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 18 of your 20 great-fit crops · Also great there: wine grapes, barley, potato

    93%match
  11. 11

    🇧🇷RiachãoMaranhão, Brazil

    Zone 12b · No frost · 0 chill hours · 45 in rainZone 12b · No frost · 0 chill hours · 1,145 mm rain

    Shares 16 of your 20 great-fit crops

    92%match
  12. 12

    🇧🇷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 20 great-fit crops

    92%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 20 great-fit crops

    92%match
  14. 14

    🇧🇷GoianésiaGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 57 in rainZone 12a · No frost · 0 chill hours · 1,445 mm rain

    Shares 18 of your 20 great-fit crops

    91%match
  15. 15

    🇧🇷ItapaciGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 56 in rainZone 12a · No frost · 0 chill hours · 1,432 mm rain

    Shares 18 of your 20 great-fit crops

    91%match
  16. 16

    🇧🇷CeresGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 60 in rainZone 12a · No frost · 0 chill hours · 1,519 mm rain

    Shares 17 of your 20 great-fit crops

    91%match
  17. 17

    🇧🇷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 20 great-fit crops

    91%match
  18. 18

    🇧🇷JaraguáGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 62 in rainZone 12a · No frost · 0 chill hours · 1,572 mm rain

    Shares 18 of your 20 great-fit crops

    91%match
  19. 19

    🇨🇩KabaloTanganyika, Democratic Republic of the Congo

    Zone 12b · No frost · 0 chill hours · 38 in rainZone 12b · No frost · 0 chill hours · 976 mm rain

    Shares 18 of your 20 great-fit crops

    91%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 20 great-fit crops

    90%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 Mwandiga: 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.