Climatch

Land with a climate like Camabatela

🇦🇴Camabatela, Cuanza Norte, Angola

The towns with the closest growing climate to Camabatela are Dondo, Angola (98% match), Sanza Pombo and Maquela do Zombo. About 176,000 sq mi of land in 6 countries matches 80% or better, most of it in Minas Gerais, Brazil, Mato Grosso, Brazil and Uíge, Angola.The towns with the closest growing climate to Camabatela are Dondo, Angola (98% match), Sanza Pombo and Maquela do Zombo. About 456,000 km² of land in 6 countries matches 80% or better, most of it in Minas Gerais, Brazil, Mato Grosso, Brazil and Uíge, Angola.

Your growing climate

Zone 11b · No frost · 0 chill hours · 58 in rainZone 11b · No frost · 0 chill hours · 1,484 mm rain

What grows in Camabatela →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    17k sq mi44k km² matching 80% or better

    For example Coromandel (83), Patrocínio (83)

  2. 2

    🇧🇷Mato Grosso, Brazil

    15k sq mi40k km² matching 80% or better

    For example Campo Verde (86), Chapada dos Guimarães (82)

  3. 3

    🇦🇴Uíge, Angola

    15k sq mi38k km² matching 80% or better

    For example Sanza Pombo (98), Maquela do Zombo (94)

  4. 4

    🇧🇷Goiás, Brazil

    12k sq mi31k km² matching 80% or better

    For example Cidade Ocidental (84), Luziânia (83)

  5. 5

    🇦🇴Malanje, Angola

    11k sq mi28k km² matching 80% or better

    For example Cacuso (93), Bailundo (90)

  6. 6

    🇨🇩Tanganyika, Democratic Republic of the Congo

    8,900 sq mi23k km² matching 80% or better

    For example Kalima (79), Kalemie (79)

  7. 7

    🇦🇴Cuanza Norte, Angola

    8,000 sq mi21k km² matching 80% or better

    For example Dondo (98), Lucala (93)

  8. 8

    🇹🇿Kigoma, Tanzania

    5,700 sq mi15k km² matching 80% or better

    For example Kibondo (84), Kasulu (84)

  9. 9

    🇨🇩Kwango, Democratic Republic of the Congo

    5,600 sq mi15k km² matching 80% or better

    For example Kasongo-Lunda (81)

  10. 10

    🇹🇿Kagera, Tanzania

    3,900 sq mi10k km² matching 80% or better

    For example Bugarama (80), Rulenge (80)

  11. 11

    🇧🇮Gitega, Burundi

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

    For example Zanandore (82), Gitega (80)

  12. 12

    🇨🇩Lomami, Democratic Republic of the Congo

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

    For example Kabinda (74), Mwene-Ditu (73)

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

    🇦🇴DondoCuanza Norte, Angola

    Zone 11b · No frost · 0 chill hours · 54 in rainZone 11b · No frost · 0 chill hours · 1,379 mm rain

    Shares 22 of your 24 great-fit crops

    98%match
  2. 2

    🇦🇴Sanza PomboUíge, Angola

    Zone 11b · No frost · 0 chill hours · 55 in rainZone 11b · No frost · 0 chill hours · 1,393 mm rain

    Shares 23 of your 24 great-fit crops · Also great there: cacao

    98%match
  3. 3

    🇦🇴Maquela do ZomboUíge, Angola

    Zone 12a · No frost · 0 chill hours · 53 in rainZone 12a · No frost · 0 chill hours · 1,336 mm rain

    Shares 22 of your 24 great-fit crops

    94%match
  4. 4

    🇦🇴N'dalatandoCuanza Norte, Angola

    Zone 11b · No frost · 0 chill hours · 54 in rainZone 11b · No frost · 0 chill hours · 1,382 mm rain

    Shares 22 of your 24 great-fit crops

    93%match
  5. 5

    🇦🇴Bula AtumbaBengo, Angola

    Zone 12a · No frost · 0 chill hours · 56 in rainZone 12a · No frost · 0 chill hours · 1,421 mm rain

    Shares 22 of your 24 great-fit crops

    90%match
  6. 6

    🇦🇴BailundoMalanje, Angola

    Zone 11a · No frost · 0 chill hours · 47 in rainZone 11a · No frost · 0 chill hours · 1,200 mm rain

    Shares 22 of your 24 great-fit crops · Also great there: wine grapes

    90%match
  7. 7

    🇦🇴CaluloKwanza Sul, Angola

    Zone 11b · No frost · 0 chill hours · 48 in rainZone 11b · No frost · 0 chill hours · 1,207 mm rain

    Shares 22 of your 24 great-fit crops

    88%match
  8. 8

    🇧🇷Campo VerdeMato Grosso, Brazil

    Zone 11a · No frost · 0 chill hours · 63 in rainZone 11a · No frost · 0 chill hours · 1,611 mm rain

    Shares 21 of your 24 great-fit crops

    86%match
  9. 9

    🇦🇴SongoUíge, Angola

    Zone 12a · No frost · 0 chill hours · 53 in rainZone 12a · No frost · 0 chill hours · 1,345 mm rain

    Shares 21 of your 24 great-fit crops

    84%match
  10. 10

    🇹🇿KasuluKigoma, Tanzania

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

    Shares 22 of your 24 great-fit crops · Also great there: wine grapes

    84%match
  11. 11

    🇦🇴Santa ClaraKwanza Sul, Angola

    Zone 11b · No frost · 0 chill hours · 43 in rainZone 11b · No frost · 0 chill hours · 1,099 mm rain

    Shares 22 of your 24 great-fit crops · Also great there: wine grapes

    84%match
  12. 12

    🇧🇷CoromandelMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 63 in rainZone 11b · No frost · 0 chill hours · 1,591 mm rain

    Shares 21 of your 24 great-fit crops

    83%match
  13. 13

    🇧🇷LuziâniaGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 59 in rainZone 11b · No frost · 0 chill hours · 1,494 mm rain

    Shares 22 of your 24 great-fit crops

    83%match
  14. 14

    🇧🇮CendajuruCankuzo, Burundi

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

    Shares 20 of your 24 great-fit crops · Also great there: wine grapes, table and raisin grapes

    83%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 22 of your 24 great-fit crops

    83%match
  16. 16

    🇧🇷PatrocínioMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 64 in rainZone 11b · No frost · 0 chill hours · 1,622 mm rain

    Shares 23 of your 24 great-fit crops

    83%match
  17. 17

    🇧🇷Monte CarmeloMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 62 in rainZone 11b · No frost · 0 chill hours · 1,566 mm rain

    Shares 21 of your 24 great-fit crops

    82%match
  18. 18

    🇧🇷Chapada dos GuimarãesMato Grosso, Brazil

    Zone 11b · No frost · 0 chill hours · 58 in rainZone 11b · No frost · 0 chill hours · 1,470 mm rain

    Shares 22 of your 24 great-fit crops

    82%match
  19. 19

    🇧🇷CristalinaGoiás, Brazil

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

    Shares 21 of your 24 great-fit crops

    81%match
  20. 20

    🇨🇩Kasongo-LundaKwango, Democratic Republic of the Congo

    Zone 12a · No frost · 0 chill hours · 51 in rainZone 12a · No frost · 0 chill hours · 1,306 mm rain

    Shares 19 of your 24 great-fit crops · Also great there: cacao

    81%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 Camabatela: 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.