Climatch

Land with a climate like Gitega

🇧🇮Gitega, Burundi

The towns with the closest growing climate to Gitega are Cendajuru, Burundi (99% match), Bugarama and Ngara. About 84,000 sq mi of land in 11 countries matches 80% or better, most of it in Minas Gerais, Brazil, Kagera, Tanzania and Kigoma, Tanzania.The towns with the closest growing climate to Gitega are Cendajuru, Burundi (99% match), Bugarama and Ngara. About 218,000 km² of land in 11 countries matches 80% or better, most of it in Minas Gerais, Brazil, Kagera, Tanzania and Kigoma, Tanzania.

Your growing climate

Zone 11b · No frost · 0 chill hours · 40 in rainZone 11b · No frost · 0 chill hours · 1,009 mm rain

What grows in Gitega →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    27k sq mi70k km² matching 80% or better

    For example Carmo do Paranaíba (87), Perdizes (86)

  2. 2

    🇹🇿Kagera, Tanzania

    9,000 sq mi23k km² matching 80% or better

    For example Bugarama (99), Ngara (99)

  3. 3

    🇹🇿Kigoma, Tanzania

    6,000 sq mi15k km² matching 80% or better

    For example Kibondo (98), Kakonko (87)

  4. 4

    🇷🇼Eastern Province, Rwanda

    4,200 sq mi11k km² matching 80% or better

    For example Kibungo (95), Kayonza (93)

  5. 5

    🇨🇩Tanganyika, Democratic Republic of the Congo

    3,900 sq mi10k km² matching 80% or better

    For example Pepa (70), Kalemie (66)

  6. 6

    🇨🇩South Kivu, Democratic Republic of the Congo

    2,700 sq mi7,000 km² matching 80% or better

    For example Bukavu (86), Kabare (71)

  7. 7

    🇧🇮Gitega, Burundi

    2,400 sq mi6,200 km² matching 80% or better

  8. 8

    🇧🇷Federal District, Brazil

    2,000 sq mi5,200 km² matching 80% or better

    For example Riacho Fundo (86), Santa Maria (86)

  9. 9

    🇷🇼Southern Province, Rwanda

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

    For example Nyanza (94), Butare (93)

  10. 10

    🇷🇼Western Province, Rwanda

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

    For example Karengera (89), Gitesi (87)

  11. 11

    🇦🇴Cuanza Norte, Angola

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

    For example Camabatela (80), Dondo (73)

  12. 12

    🇺🇬Western Region, Uganda

    1,500 sq mi3,900 km² matching 80% or better

    For example Iryango (81), Isingiro (81)

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

    🇧🇮CendajuruCankuzo, Burundi

    Zone 11b · No frost · 0 chill hours · 35 in rainZone 11b · No frost · 0 chill hours · 901 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: peanut, table and raisin grapes, citrus

    99%match
  2. 2

    🇹🇿BugaramaKagera, Tanzania

    Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 786 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: table and raisin grapes, peanut, mango

    99%match
  3. 3

    🇹🇿NgaraKagera, Tanzania

    Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 786 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: table and raisin grapes

    99%match
  4. 4

    🇧🇮VyandaBururi, Burundi

    Zone 11b · No frost · 0 chill hours · 51 in rainZone 11b · No frost · 0 chill hours · 1,296 mm rain

    Shares 14 of your 17 great-fit crops

    99%match
  5. 5

    🇷🇼NyanzaSouthern Province, Rwanda

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

    Shares 17 of your 17 great-fit crops · Also great there: table and raisin grapes

    94%match
  6. 6

    🇹🇿NshambaKagera, Tanzania

    Zone 12a · No frost · 0 chill hours · 42 in rainZone 12a · No frost · 0 chill hours · 1,058 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: peanut, sugarcane, cassava

    94%match
  7. 7

    🇷🇼ButareSouthern Province, Rwanda

    Zone 11b · No frost · 0 chill hours · 41 in rainZone 11b · No frost · 0 chill hours · 1,038 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: peanut, sugarcane, cassava

    93%match
  8. 8

    🇷🇼RwamaganaEastern Province, Rwanda

    Zone 12a · No frost · 0 chill hours · 30 in rainZone 12a · No frost · 0 chill hours · 763 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: table and raisin grapes, peanut, mango

    92%match
  9. 9

    🇹🇿BiharamuloKagera, Tanzania

    Zone 11b · No frost · 0 chill hours · 30 in rainZone 11b · No frost · 0 chill hours · 767 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: table and raisin grapes, peanut, citrus

    92%match
  10. 10

    🇷🇼NyamataEastern Province, Rwanda

    Zone 12a · No frost · 0 chill hours · 32 in rainZone 12a · No frost · 0 chill hours · 812 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: peanut, citrus, table and raisin grapes

    90%match
  11. 11

    🇷🇼KigaliRwanda

    Zone 12a · No frost · 0 chill hours · 35 in rainZone 12a · No frost · 0 chill hours · 886 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: peanut, citrus, mango

    89%match
  12. 12

    🇧🇷Carmo do ParanaíbaMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 59 in rainZone 11a · No frost · 0 chill hours · 1,506 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: rice, citrus, peanut

    87%match
  13. 13

    🇹🇿KakonkoKigoma, Tanzania

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

    Shares 15 of your 17 great-fit crops · Also great there: peanut, citrus, table and raisin grapes

    87%match
  14. 14

    🇧🇷CristalinaGoiás, Brazil

    Zone 11a · No frost · 0 chill hours · 60 in rainZone 11a · No frost · 0 chill hours · 1,524 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: citrus, rice, peanut

    87%match
  15. 15

    🇹🇿KasuluKigoma, Tanzania

    Zone 11b · No frost · 0 chill hours · 42 in rainZone 11b · No frost · 0 chill hours · 1,077 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: peanut, citrus, cassava

    87%match
  16. 16

    🇧🇷PerdizesMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 66 in rainZone 11a · No frost · 0 chill hours · 1,669 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: rice, citrus, peanut

    86%match
  17. 17

    🇪🇨CariamangaLoja, Ecuador

    Zone 11b · No frost · 0 chill hours · 39 in rainZone 11b · No frost · 0 chill hours · 978 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: rice

    86%match
  18. 18

    🇧🇷São GotardoMinas Gerais, Brazil

    Zone 11a · No frost · 8 chill hours · 61 in rainZone 11a · No frost · 8 chill hours · 1,557 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: rice, tea, citrus

    86%match
  19. 19

    🇨🇩BukavuSouth Kivu, Democratic Republic of the Congo

    Zone 12a · No frost · 0 chill hours · 48 in rainZone 12a · No frost · 0 chill hours · 1,225 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: banana, sugarcane, peanut

    86%match
  20. 20

    🇧🇷DiamantinaMinas Gerais, Brazil

    Zone 11a · No frost · 7 chill hours · 51 in rainZone 11a · No frost · 7 chill hours · 1,307 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: rice, peanut

    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 Gitega: 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.