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US / Canada number

+1 (202) 796-4852

Likely spam

+1 (202) 796-4852 was reported 4 times to the U.S. FTC's "Do Not Call" complaint database by consumers across 3 different areas, most often for dropped call or no message. Numbers with this pattern are almost always automated robocall or telemarketing campaigns.

4
Times reported
100%
Reported spam
3
Distinct reporters
15 days ago
Last reported

Community reports

100% reported spam 0% marked legitimate

First reported Jun 2026 · most recent 15 days ago. Aggregated from 3 consumer reports to the FTC “Do Not Call” registry, mostly about dropped call or no message.

How ScreenDoor would handle this number

  • ScreenDoor's AI would answer it before your phone rings — you'd never have to.
  • A number with this reputation gets ended silently — no ring, no voicemail.
  • Every screening outcome feeds an anonymous, hashed reputation shared across the network.

How to stop these calls

  1. Block it on your iPhone. Open the number in Recents, scroll down, and tap “Block this Caller.”
  2. Let ScreenDoor screen for you. Numbers like this are answered and ended automatically — you never see them.
  3. Report it so the community signal stays accurate for everyone.

Frequently asked

Is +1 (202) 796-4852 safe to answer?
Based on public FTC "Do Not Call" complaints, +1 (202) 796-4852 is likely spam — it was reported 4 times as an unwanted or robocall by consumers across 3 different areas. We'd recommend not answering, and blocking it.
Why did this number call me?
Numbers like this are often used for automated sales, warranty, or robocalls placed to large lists. A call usually doesn't mean you were specifically targeted.
How do I stop calls like this for good?
Blocking one number rarely helps, since spammers rotate numbers constantly. An AI screener like ScreenDoor answers every unknown caller and ends spam before your phone rings.
Who is behind this number?
ScreenDoor reports reputation, not ownership. We don't publish the identity of any caller, and reputation is aggregated only from anonymized, hashed signals.