Climatch

Land with a climate like Cendajuru

🇧🇮Cendajuru, Cankuzo, Burundi

The towns with the closest growing climate to Cendajuru are Ngara, Tanzania (99% match), Gitega and Biharamulo. About 132,000 sq mi of land in 11 countries matches 80% or better, most of it in Minas Gerais, Brazil, Goiás, Brazil and Kigoma, Tanzania.The towns with the closest growing climate to Cendajuru are Ngara, Tanzania (99% match), Gitega and Biharamulo. About 341,000 km² of land in 11 countries matches 80% or better, most of it in Minas Gerais, Brazil, Goiás, Brazil and Kigoma, Tanzania.

Your growing climate

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

What grows in Cendajuru →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    25k sq mi65k km² matching 80% or better

    For example Carmo do Paranaíba (85), Presidente Olegário (84)

  2. 2

    🇧🇷Goiás, Brazil

    13k sq mi34k km² matching 80% or better

    For example Cristalina (88), Valparaíso de Goiás (87)

  3. 3

    🇹🇿Kigoma, Tanzania

    11k sq mi29k km² matching 80% or better

    For example Kasulu (94), Uvinza (78)

  4. 4

    🇨🇩Tanganyika, Democratic Republic of the Congo

    9,800 sq mi25k km² matching 80% or better

    For example Kalemie (83), Kalima (79)

  5. 5

    🇹🇿Kagera, Tanzania

    9,300 sq mi24k km² matching 80% or better

    For example Ngara (99), Biharamulo (99)

  6. 6

    🇹🇿Geita, Tanzania

    6,900 sq mi18k km² matching 80% or better

    For example Buseresere (91), Katoro (91)

  7. 7

    🇷🇼Eastern Province, Rwanda

    4,200 sq mi11k km² matching 80% or better

    For example Kibungo (96), Rwamagana (94)

  8. 8

    🇦🇴Cuanza Norte, Angola

    3,300 sq mi8,400 km² matching 80% or better

    For example Camabatela (83), Dondo (80)

  9. 9

    🇧🇷Federal District, Brazil

    2,600 sq mi6,700 km² matching 80% or better

    For example Riacho Fundo (90), Águas Claras (90)

  10. 10

    🇧🇮Gitega, Burundi

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

    For example Gitega (99)

  11. 11

    🇦🇴Uíge, Angola

    2,400 sq mi6,100 km² matching 80% or better

    For example Negage (82), Sanza Pombo (74)

  12. 12

    🇷🇼Southern Province, Rwanda

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

    For example Nyanza (91), Mugina (91)

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

    🇹🇿NgaraKagera, Tanzania

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

    Shares 16 of your 22 great-fit crops

    99%match
  2. 2

    🇧🇮GitegaBurundi

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

    Shares 16 of your 22 great-fit crops · Also great there: coffee (arabica)

    99%match
  3. 3

    🇹🇿BiharamuloKagera, Tanzania

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

    Shares 20 of your 22 great-fit crops

    99%match
  4. 4

    🇧🇮KirundoBurundi

    Zone 12a · No frost · 0 chill hours · 34 in rainZone 12a · No frost · 0 chill hours · 875 mm rain

    Shares 22 of your 22 great-fit crops

    98%match
  5. 5

    🇧🇮NgoziBurundi

    Zone 11b · No frost · 0 chill hours · 41 in rainZone 11b · No frost · 0 chill hours · 1,031 mm rain

    Shares 17 of your 22 great-fit crops · Also great there: coffee (arabica)

    97%match
  6. 6

    🇷🇼RwamaganaEastern Province, Rwanda

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

    Shares 19 of your 22 great-fit crops

    94%match
  7. 7

    🇹🇿KasuluKigoma, Tanzania

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

    Shares 21 of your 22 great-fit crops · Also great there: rice, coffee (arabica)

    94%match
  8. 8

    🇹🇿NshambaKagera, Tanzania

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

    Shares 21 of your 22 great-fit crops · Also great there: coffee (arabica)

    94%match
  9. 9

    🇧🇮VyandaBururi, Burundi

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

    Shares 13 of your 22 great-fit crops · Also great there: coffee (arabica)

    92%match
  10. 10

    🇷🇼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 22 great-fit crops · Also great there: coffee (arabica)

    91%match
  11. 11

    🇹🇿GeitaTanzania

    Zone 12a · No frost · 0 chill hours · 34 in rainZone 12a · No frost · 0 chill hours · 867 mm rain

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

    91%match
  12. 12

    🇷🇼KigaliRwanda

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

    Shares 22 of your 22 great-fit crops

    90%match
  13. 13

    🇹🇿UyovuGeita, Tanzania

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

    Shares 21 of your 22 great-fit crops

    90%match
  14. 14

    🇧🇮BubanzaBurundi

    Zone 12b · No frost · 0 chill hours · 38 in rainZone 12b · No frost · 0 chill hours · 972 mm rain

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

    90%match
  15. 15

    🇧🇷BrasíliaFederal District, Brazil

    Zone 11b · No frost · 0 chill hours · 56 in rainZone 11b · No frost · 0 chill hours · 1,411 mm rain

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

    89%match
  16. 16

    🇹🇿KakunyuKagera, Tanzania

    Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 682 mm rain

    Shares 18 of your 22 great-fit crops

    89%match
  17. 17

    🇧🇷CristalinaGoiás, Brazil

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

    Shares 19 of your 22 great-fit crops · Also great there: rice, coffee (arabica)

    88%match
  18. 18

    🇷🇼NyagatareEastern Province, Rwanda

    Zone 12a · No frost · 0 chill hours · 28 in rainZone 12a · No frost · 0 chill hours · 699 mm rain

    Shares 18 of your 22 great-fit crops

    88%match
  19. 19

    🇧🇷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 19 of your 22 great-fit crops · Also great there: coffee (arabica), rice, tea

    85%match
  20. 20

    🇹🇿ChatoGeita, Tanzania

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

    Shares 20 of your 22 great-fit crops

    84%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 Cendajuru: 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.