Viva Villa Road deals with a handful of neighbors who completely unaware manages to go to Gran Canaria at the same time. For many, this would be a nice, but for Swedish Reidar Frank (Brass Brännström), pensioner Sigurd Vatne (Sverre Hansen) and crazy Alice Lindblad (Elsa Lystad) this is the worst thing that could have occurred. After countless neighborhood feuds they all had, by coincidence, decided to travel to the Canary Islands to escape the unwanted situation of Villa Road. Therefore, the disputes continue also in the holiday paradise of the other family members' great despair. This surprisingly leads to a lot of funny episodes that contain both problems with the travel company, absurd misunderstandings and intricate entanglement that eventually tie up to a pretty successful movie.
Has mainstream appeal — appeals to the general audience.
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Advocacy
Entertainment (0/100) — content choices prioritize storytelling over messaging.
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Representation
lower white (0) representation.
Demographic Position
Gender: 43 — leans male Age: 38 — leans younger
0 = Male / Youth100 = Female / Mature
Primary audienceYoung Men
mainstream
Quadrant Scores
Young Men
69
How strongly this title appeals to males 18–34. Based on genre, cast, action/violence levels, pacing, and marketing signals. Higher = stronger appeal.
Young Women
56
How strongly this title appeals to females 18–34. Based on genre, romance centrality, cast composition, lead demographics, and tone. Higher = stronger appeal.
Older Men
45
How strongly this title appeals to males 35+. Based on theme maturity, pacing, complexity, genre, and production style. Higher = stronger appeal.
Older Women
31
How strongly this title appeals to females 35+. Based on drama elements, character complexity, genre, cast, and emotional themes. Higher = stronger appeal.
Advocacy0
Entertainment
Audience Representation
White
0
Measures deviation from the expected White representation based on this title's production origin. 50 = baseline for its country. Higher = more representation than typical.
Black
46
Measures deviation from the expected Black representation based on this title's production origin. 50 = baseline for its country. Higher = more representation than typical.
Hispanic
48
Measures deviation from the expected Hispanic representation based on this title's production origin. 50 = baseline for its country. Higher = more representation than typical.
Asian
44
Measures deviation from the expected Asian representation based on this title's production origin. 50 = baseline for its country. Higher = more representation than typical.
South Asian
46
Measures deviation from the expected South Asian representation based on this title's production origin. 50 = baseline for its country. Higher = more representation than typical.
Middle Eastern
44
Measures deviation from the expected Middle Eastern representation based on this title's production origin. 50 = baseline for its country. Higher = more representation than typical.
Indigenous
48
Measures deviation from the expected Indigenous representation based on this title's production origin. 50 = baseline for its country. Higher = more representation than typical.
Mixed
46
Measures deviation from the expected Mixed representation based on this title's production origin. 50 = baseline for its country. Higher = more representation than typical.
Other
48
Measures deviation from the expected Other representation based on this title's production origin. 50 = baseline for its country. Higher = more representation than typical.
LGBTQ+
0
LGBTQ+ representation score based on character centrality, cast percentage, lead representation, and source fidelity. 0 = no representation, 100 = central to the story.