Brugeren identificerer opkaldet som telemarketing.
Reverse Phone Lookup in Denmark — Recent Community Reports
Check unknown Danish numbers with recent reports (Copenhagen, Aarhus, Odense, Aalborg) and share your experience.
Unknown calls in Denmark
Unsure about a Danish number? Explore concise community notes to judge unfamiliar calls or texts. In Copenhagen, Aarhus, Odense and Aalborg you’ll see both legitimate callbacks (deliveries, banking, appointments) and waves of robocalls or phishing. Denmark uses eight‑digit numbers without visible area codes; historic patterns (e.g., 33 in Copenhagen) and mobile ranges (20/30/40/50) are not reliable proof of identity or location due to portability and VoIP — treat them as context.
Verification: return calls via the official number on the company website/app, check in‑app notices, and never share one‑time codes by phone. Use device and carrier filters (e.g., 70 shared‑cost, 80 toll‑free) for repeat issues, and leave a short, factual note to help others.
Brugeren klassificerer det som andet
Brugerens bemærkning: Irriterende – ret gnaven, haha.
Bruger har markeret: Forsigtighed
Brugeren påpeger, at man skal udvise forsigtighed.
Bruger angiver: Irriterende.
Brugeren beskriver det som irriterende.
Brugeren finder det generende.
Nummeret er markeret som robotopkald.
Kan I oplyse, hvem I er?
Det virker som et tab.
Brugeren oplever: irriterende.
Brugeren beskriver nummeret som generende.
Dette nummer bruges til telemarketing, ifølge indsenderen.
Brugeren finder dette irriterende.
Bruger bemærker: Irriterende
Brugeren vurderer dette som godt.
Brugeren har markeret: Irriterende
Brugeren advarer om, at nummeret er dårligt og bør bruges med forsigtighed.
Dette er relateret til dansk politi og skat.
Trending Phone Numbers
FAQ — Denmark
How to verify callers in Denmark?
Use the official number from the company site/app and check in‑app messages; avoid calling back the unknown number.
Do prefixes prove location?
No. Denmark’s portability and VoIP mean prefixes/ranges are not reliable evidence.
Common patterns?
Delivery updates, bank callbacks, 2FA codes; robocalls, parcel/account phishing, scripted sales pitches.
What to include in a report?
Caller type, purpose, date/time, and cues that guided your decision.