Climatch

Land with a climate like Kondoa

🇹🇿Kondoa, Dodoma, Tanzania

The towns with the closest growing climate to Kondoa are Kibaigwa, Tanzania (99% match), Manyoni and Kiomboi. About 150,000 sq mi of land in 8 countries matches 80% or better, most of it in Bahia, Brazil, Singida, Tanzania and Dodoma, Tanzania.The towns with the closest growing climate to Kondoa are Kibaigwa, Tanzania (99% match), Manyoni and Kiomboi. About 390,000 km² of land in 8 countries matches 80% or better, most of it in Bahia, Brazil, Singida, Tanzania and Dodoma, Tanzania.

Your growing climate

Zone 11b · No frost · 0 chill hours · 26 in rainZone 11b · No frost · 0 chill hours · 657 mm rain

What grows in Kondoa →

Regions with the most land like yours

  1. 1

    🇧🇷Bahia, Brazil

    16k sq mi40k km² matching 80% or better

    For example Lapão (88), João Dourado (87)

  2. 2

    🇹🇿Singida, Tanzania

    15k sq mi40k km² matching 80% or better

    For example Manyoni (96), Kiomboi (96)

  3. 3

    🇹🇿Dodoma, Tanzania

    14k sq mi36k km² matching 80% or better

    For example Kibaigwa (99), Mpwapwa (95)

  4. 4

    🇹🇿Ruvuma, Tanzania

    8,800 sq mi23k km² matching 80% or better

    For example Maposeni (86), Songea (84)

  5. 5

    🇲🇼Central Region, Malawi

    4,900 sq mi13k km² matching 80% or better

    For example Mchinji (81), Lilongwe (79)

  6. 6

    🇲🇼Northern Region, Malawi

    4,400 sq mi11k km² matching 80% or better

    For example Rumphi (87), Chitipa (83)

  7. 7

    🇿🇲Muchinga, Zambia

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

    For example Nakonde (81), Isoka (79)

  8. 8

    🇲🇿Niassa Province, Mozambique

    2,000 sq mi5,300 km² matching 80% or better

    For example Lichinga (75), Cuamba (59)

  9. 9

    🇿🇲Eastern Province, Zambia

    1,700 sq mi4,500 km² matching 80% or better

    For example Katete (82), Sinda (80)

  10. 10

    🇲🇽Oaxaca, Mexico

    1,700 sq mi4,500 km² matching 80% or better

    For example Miahuatlán de Porfirio Díaz (82), San Antonio de la Cal (76)

  11. 11

    🇨🇩Tanganyika, Democratic Republic of the Congo

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

    For example Baudhuinville (83), Kituku (67)

  12. 12

    🇰🇪Kajiado County, Kenya

    900 sq mi2,300 km² matching 80% or better

    For example Kajiado (60), Kitengela (58)

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

    🇹🇿KibaigwaDodoma, Tanzania

    Zone 11b · No frost · 0 chill hours · 23 in rainZone 11b · No frost · 0 chill hours · 585 mm rain

    Shares 17 of your 20 great-fit crops

    99%match
  2. 2

    🇹🇿ManyoniSingida, Tanzania

    Zone 11b · No frost · 0 chill hours · 21 in rainZone 11b · No frost · 0 chill hours · 538 mm rain

    Shares 16 of your 20 great-fit crops

    96%match
  3. 3

    🇹🇿KiomboiSingida, Tanzania

    Zone 11b · No frost · 0 chill hours · 25 in rainZone 11b · No frost · 0 chill hours · 641 mm rain

    Shares 20 of your 20 great-fit crops

    96%match
  4. 4

    🇹🇿MakuyuniArusha, Tanzania

    Zone 11b · No frost · 0 chill hours · 21 in rainZone 11b · No frost · 0 chill hours · 535 mm rain

    Shares 16 of your 20 great-fit crops

    95%match
  5. 5

    🇹🇿SingidaTanzania

    Zone 11b · No frost · 0 chill hours · 22 in rainZone 11b · No frost · 0 chill hours · 554 mm rain

    Shares 18 of your 20 great-fit crops

    94%match
  6. 6

    🇹🇿KibakweDodoma, Tanzania

    Zone 11b · No frost · 0 chill hours · 26 in rainZone 11b · No frost · 0 chill hours · 657 mm rain

    Shares 19 of your 20 great-fit crops

    94%match
  7. 7

    🇹🇿IlulaIringa, Tanzania

    Zone 11b · No frost · 0 chill hours · 29 in rainZone 11b · No frost · 0 chill hours · 725 mm rain

    Shares 20 of your 20 great-fit crops

    92%match
  8. 8

    🇹🇿BabatiManyara, Tanzania

    Zone 11b · No frost · 0 chill hours · 29 in rainZone 11b · No frost · 0 chill hours · 727 mm rain

    Shares 20 of your 20 great-fit crops

    92%match
  9. 9

    🇹🇿MganduSingida, Tanzania

    Zone 11b · No frost · 0 chill hours · 22 in rainZone 11b · No frost · 0 chill hours · 564 mm rain

    Shares 19 of your 20 great-fit crops

    91%match
  10. 10

    🇹🇿BasotuManyara, Tanzania

    Zone 11a · No frost · 1 chill hours · 22 in rainZone 11a · No frost · 1 chill hours · 569 mm rain

    Shares 16 of your 20 great-fit crops · Also great there: lavender

    91%match
  11. 11

    🇹🇿IgurusiMbeya, Tanzania

    Zone 11a · No frost · 0 chill hours · 43 in rainZone 11a · No frost · 0 chill hours · 1,095 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: sugarcane, cassava, macadamia

    90%match
  12. 12

    🇹🇿DodomaTanzania

    Zone 11b · No frost · 0 chill hours · 22 in rainZone 11b · No frost · 0 chill hours · 560 mm rain

    Shares 16 of your 20 great-fit crops

    89%match
  13. 13

    🇲🇽Chilpancingo↻Seasons flipped. Guerrero, Mexico

    Zone 11b · No frost · 0 chill hours · 34 in rainZone 11b · No frost · 0 chill hours · 859 mm rain

    Shares 18 of your 20 great-fit crops · Also great there: cassava, sugarcane, macadamia

    88%match
  14. 14

    🇹🇿NamanyereRukwa, Tanzania

    Zone 11a · No frost · 0 chill hours · 35 in rainZone 11a · No frost · 0 chill hours · 885 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: cassava, sugarcane, macadamia

    87%match
  15. 15

    🇲🇼RumphiNorthern Region, Malawi

    Zone 11a · No frost · 1 chill hours · 32 in rainZone 11a · No frost · 1 chill hours · 815 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: cassava, sugarcane

    87%match
  16. 16

    🇧🇷IrecêBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 21 in rainZone 11b · No frost · 0 chill hours · 545 mm rain

    Shares 14 of your 20 great-fit crops

    86%match
  17. 17

    🇹🇿MatundasiMbeya, Tanzania

    Zone 11a · No frost · 0 chill hours · 37 in rainZone 11a · No frost · 0 chill hours · 944 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: cassava, sugarcane, macadamia

    86%match
  18. 18

    🇲🇿MuedaCabo Delgado Province, Mozambique

    Zone 11b · No frost · 0 chill hours · 42 in rainZone 11b · No frost · 0 chill hours · 1,073 mm rain

    Shares 18 of your 20 great-fit crops · Also great there: cassava, sugarcane, macadamia

    84%match
  19. 19

    🇹🇿MwanhuziSimiyu, Tanzania

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

    Shares 14 of your 20 great-fit crops

    84%match
  20. 20

    🇧🇷IbitiaraBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 27 in rainZone 11b · No frost · 0 chill hours · 674 mm rain

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

    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 Kondoa: 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.