Climatch

Land with a climate like Cuilo

🇦🇴Cuilo, Luanda Norte, Angola

The towns with the closest growing climate to Cuilo are Lubalo, Angola (99% match), Kanyama and Lucapa. About 447,000 sq mi of land in 11 countries matches 80% or better, most of it in Goiás, Brazil, Luanda Norte, Angola and Mato Grosso, Brazil.The towns with the closest growing climate to Cuilo are Lubalo, Angola (99% match), Kanyama and Lucapa. About 1.2 million km² of land in 11 countries matches 80% or better, most of it in Goiás, Brazil, Luanda Norte, Angola and Mato Grosso, Brazil.

Your growing climate

Zone 11b · No frost · 0 chill hours · 53 in rainZone 11b · No frost · 0 chill hours · 1,358 mm rain

What grows in Cuilo →

Regions with the most land like yours

  1. 1

    🇧🇷Goiás, Brazil

    65k sq mi167k km² matching 80% or better

    For example Águas Lindas de Goiás (89), Caiapônia (89)

  2. 2

    🇦🇴Luanda Norte, Angola

    36k sq mi94k km² matching 80% or better

    For example Lubalo (99), Lucapa (97)

  3. 3

    🇧🇷Mato Grosso, Brazil

    33k sq mi84k km² matching 80% or better

    For example Campinápolis (86), Paranatinga (86)

  4. 4

    🇦🇴Malanje, Angola

    27k sq mi70k km² matching 80% or better

    For example Bailundo (91), Cacuso (91)

  5. 5

    🇧🇷Minas Gerais, Brazil

    24k sq mi62k km² matching 80% or better

    For example João Pinheiro (83), Vazante (83)

  6. 6

    🇨🇩Tanganyika, Democratic Republic of the Congo

    23k sq mi60k km² matching 80% or better

    For example Nyunzu (88), Kalima (88)

  7. 7

    🇨🇩Haut-Lomami, Democratic Republic of the Congo

    14k sq mi36k km² matching 80% or better

    For example Kanyama (98), Kamina (91)

  8. 8

    🇨🇩Lomami, Democratic Republic of the Congo

    14k sq mi35k km² matching 80% or better

    For example Mwene-Ditu (92), Luputa (92)

  9. 9

    🇦🇴Kwanza Sul, Angola

    9,700 sq mi25k km² matching 80% or better

    For example Santa Clara (84), Quibala (84)

  10. 10

    🇨🇲Adamaoua, Cameroon

    8,000 sq mi21k km² matching 80% or better

    For example Ngaoundal (82), Banyo (80)

  11. 11

    🇹🇿Kigoma, Tanzania

    5,700 sq mi15k km² matching 80% or better

    For example Kakonko (84), Kibondo (83)

  12. 12

    🇹🇿Geita, Tanzania

    3,600 sq mi9,300 km² matching 80% or better

    For example Buseresere (83), Diobahika (83)

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

    🇦🇴LubaloLuanda Norte, Angola

    Zone 11b · No frost · 0 chill hours · 53 in rainZone 11b · No frost · 0 chill hours · 1,350 mm rain

    Shares 23 of your 23 great-fit crops

    99%match
  2. 2

    🇨🇩KanyamaHaut-Lomami, Democratic Republic of the Congo

    Zone 12a · No frost · 0 chill hours · 50 in rainZone 12a · No frost · 0 chill hours · 1,278 mm rain

    Shares 21 of your 23 great-fit crops

    98%match
  3. 3

    🇦🇴LucapaLuanda Norte, Angola

    Zone 12a · No frost · 0 chill hours · 49 in rainZone 12a · No frost · 0 chill hours · 1,241 mm rain

    Shares 18 of your 23 great-fit crops

    97%match
  4. 4

    🇦🇴Cuango-LuzambaLuanda Norte, Angola

    Zone 11b · No frost · 0 chill hours · 49 in rainZone 11b · No frost · 0 chill hours · 1,232 mm rain

    Shares 21 of your 23 great-fit crops

    96%match
  5. 5

    🇦🇴CafunfoLuanda Norte, Angola

    Zone 11b · No frost · 0 chill hours · 48 in rainZone 11b · No frost · 0 chill hours · 1,212 mm rain

    Shares 18 of your 23 great-fit crops

    96%match
  6. 6

    🇦🇴SaurimoLunda Sul, Angola

    Zone 11b · No frost · 0 chill hours · 49 in rainZone 11b · No frost · 0 chill hours · 1,241 mm rain

    Shares 19 of your 23 great-fit crops

    94%match
  7. 7

    🇨🇩Mwene-DituLomami, Democratic Republic of the Congo

    Zone 12b · No frost · 0 chill hours · 57 in rainZone 12b · No frost · 0 chill hours · 1,447 mm rain

    Shares 20 of your 23 great-fit crops · Also great there: cacao, tea

    92%match
  8. 8

    🇨🇩KaminaHaut-Lomami, Democratic Republic of the Congo

    Zone 12a · No frost · 0 chill hours · 45 in rainZone 12a · No frost · 0 chill hours · 1,147 mm rain

    Shares 19 of your 23 great-fit crops

    91%match
  9. 9

    🇦🇴ChitatoLuanda Norte, Angola

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

    Shares 19 of your 23 great-fit crops

    91%match
  10. 10

    🇧🇷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 23 great-fit crops

    91%match
  11. 11

    🇦🇴CangandalaMalanje, Angola

    Zone 11a · No frost · 0 chill hours · 46 in rainZone 11a · No frost · 0 chill hours · 1,170 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: wine grapes

    90%match
  12. 12

    🇦🇴MalanjeAngola

    Zone 11a · No frost · 0 chill hours · 47 in rainZone 11a · No frost · 0 chill hours · 1,182 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: wine grapes

    89%match
  13. 13

    🇧🇷CaiapôniaGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 61 in rainZone 11b · No frost · 0 chill hours · 1,554 mm rain

    Shares 20 of your 23 great-fit crops

    89%match
  14. 14

    🇦🇴CassanguidiLuanda Norte, Angola

    Zone 12b · No frost · 0 chill hours · 48 in rainZone 12b · No frost · 0 chill hours · 1,221 mm rain

    Shares 17 of your 23 great-fit crops

    88%match
  15. 15

    🇧🇷SilvâniaGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 60 in rainZone 11b · No frost · 0 chill hours · 1,526 mm rain

    Shares 21 of your 23 great-fit crops

    88%match
  16. 16

    🇧🇷AlexâniaGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 59 in rainZone 11b · No frost · 0 chill hours · 1,493 mm rain

    Shares 22 of your 23 great-fit crops

    88%match
  17. 17

    🇨🇩NyunzuTanganyika, Democratic Republic of the Congo

    Zone 12a · No frost · 0 chill hours · 40 in rainZone 12a · No frost · 0 chill hours · 1,012 mm rain

    Shares 18 of your 23 great-fit crops

    88%match
  18. 18

    🇨🇩KalimaTanganyika, Democratic Republic of the Congo

    Zone 12a · No frost · 0 chill hours · 39 in rainZone 12a · No frost · 0 chill hours · 1,002 mm rain

    Shares 18 of your 23 great-fit crops

    88%match
  19. 19

    🇧🇷Cocalzinho de GoiásGoiás, Brazil

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

    Shares 21 of your 23 great-fit crops

    87%match
  20. 20

    🇨🇲Garoua Boulaï↻Seasons flipped. East, Cameroon

    Zone 12a · No frost · 0 chill hours · 52 in rainZone 12a · No frost · 0 chill hours · 1,331 mm rain

    Shares 21 of your 23 great-fit crops

    87%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 Cuilo: 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.