Climatch

Land with a climate like Camucuio

🇦🇴Camucuio, Namibe, Angola

The towns with the closest growing climate to Camucuio are Kituku, Democratic Republic of the Congo (85% match), Guanambi and Carinhanha. About 45,000 sq mi of land in 5 countries matches 80% or better, most of it in Namibe, Angola, Bahia, Brazil and Benguela, Angola.The towns with the closest growing climate to Camucuio are Kituku, Democratic Republic of the Congo (85% match), Guanambi and Carinhanha. About 116,000 km² of land in 5 countries matches 80% or better, most of it in Namibe, Angola, Bahia, Brazil and Benguela, Angola.

Your growing climate

Zone 12a · No frost · 0 chill hours · 29 in rainZone 12a · No frost · 0 chill hours · 727 mm rain

What grows in Camucuio →

Regions with the most land like yours

  1. 1

    🇦🇴Namibe, Angola

    9,000 sq mi23k km² matching 80% or better

    For example Virei (75)

  2. 2

    🇧🇷Bahia, Brazil

    7,900 sq mi20k km² matching 80% or better

    For example Guanambi (83), Malhada (83)

  3. 3

    🇦🇴Benguela, Angola

    5,200 sq mi14k km² matching 80% or better

    For example Cubal (80), Catumbela (72)

  4. 4

    🇿🇲Northern Province, Zambia

    4,700 sq mi12k km² matching 80% or better

    For example Kaputa (79), Mpulungu (77)

  5. 5

    🇦🇴Huíla, Angola

    3,500 sq mi9,000 km² matching 80% or better

    For example Matala (61), Quipungo (54)

  6. 6

    🇿🇲Luapula Province, Zambia

    2,700 sq mi6,900 km² matching 80% or better

    For example Nchelenge (81), Chiengi (79)

  7. 7

    🇹🇿Singida, Tanzania

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

    For example Shelui (78), Itigi (63)

  8. 8

    🇹🇿Katavi, Tanzania

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

    For example Mpanda (79), Usevia (78)

  9. 9

    🇹🇿Rukwa, Tanzania

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

    For example Kirando (58), Namanyere (56)

  10. 10

    🇨🇩Tanganyika, Democratic Republic of the Congo

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

    For example Kituku (85), Baudhuinville (72)

  11. 11

    🇧🇷Minas Gerais, Brazil

    1,400 sq mi3,700 km² matching 80% or better

    For example Manga (80), Jaíba (80)

  12. 12

    🇨🇩Haut-Katanga, Democratic Republic of the Congo

    300 sq mi800 km² matching 80% or better

    For example Pweto (76)

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

    🇨🇩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 17 of your 17 great-fit crops · Also great there: wheat, macadamia

    85%match
  2. 2

    🇧🇷GuanambiBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 689 mm rain

    Shares 16 of your 17 great-fit crops

    83%match
  3. 3

    🇧🇷CarinhanhaBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 28 in rainZone 12a · No frost · 0 chill hours · 705 mm rain

    Shares 16 of your 17 great-fit crops

    82%match
  4. 4

    🇿🇲NchelengeLuapula Province, Zambia

    Zone 12a · No frost · 0 chill hours · 40 in rainZone 12a · No frost · 0 chill hours · 1,006 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: macadamia, wheat

    81%match
  5. 5

    🇦🇴CubalBenguela, Angola

    Zone 11b · No frost · 0 chill hours · 44 in rainZone 11b · No frost · 0 chill hours · 1,108 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: wheat, macadamia, canola (rapeseed)

    80%match
  6. 6

    🇧🇷MangaMinas Gerais, Brazil

    Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 693 mm rain

    Shares 16 of your 17 great-fit crops

    80%match
  7. 7

    🇧🇷JaíbaMinas Gerais, Brazil

    Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 687 mm rain

    Shares 16 of your 17 great-fit crops

    80%match
  8. 8

    🇧🇷EspinosaMinas Gerais, Brazil

    Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 679 mm rain

    Shares 16 of your 17 great-fit crops

    79%match
  9. 9

    🇧🇷Riacho de SantanaBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 780 mm rain

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

    79%match
  10. 10

    🇹🇿SikongeTabora, Tanzania

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

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

    79%match
  11. 11

    🇧🇷Palmas de Monte AltoBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 28 in rainZone 12a · No frost · 0 chill hours · 703 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: wheat

    79%match
  12. 12

    🇧🇷ItacarambiMinas Gerais, Brazil

    Zone 12a · No frost · 0 chill hours · 30 in rainZone 12a · No frost · 0 chill hours · 767 mm rain

    Shares 17 of your 17 great-fit crops

    79%match
  13. 13

    🇹🇿MpandaKatavi, Tanzania

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

    Shares 17 of your 17 great-fit crops

    79%match
  14. 14

    🇿🇲KaputaNorthern Province, Zambia

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

    Shares 17 of your 17 great-fit crops

    79%match
  15. 15

    🇹🇿UseviaKatavi, Tanzania

    Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 776 mm rain

    Shares 16 of your 17 great-fit crops

    78%match
  16. 16

    🇿🇲MpulunguNorthern Province, Zambia

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

    Shares 16 of your 17 great-fit crops

    77%match
  17. 17

    🇧🇷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 17 great-fit crops

    77%match
  18. 18

    🇧🇷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 17 great-fit crops

    77%match
  19. 19

    🇹🇿IgungaTabora, Tanzania

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

    Shares 14 of your 17 great-fit crops

    76%match
  20. 20

    🇨🇩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 16 of your 17 great-fit crops · Also great there: macadamia, wheat

    76%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 Camucuio: 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.