What percentage of phone numbers are VoIP?

The figure is published here whenever the platform has enough traffic to report it without identifying a customer. It describes numbers checked on 1Lookup, not all phone numbers.

What share of phone numbers on a list are invalid or disconnected?

The share is published here whenever the platform clears its privacy floors for the window. It varies a lot by list age: numbers collected months ago fail far more often than numbers validated at signup.

How many email addresses are undeliverable?

The share is published here whenever the platform has enough verified addresses in the window to report it anonymously.

What share of IP addresses are proxies or VPNs?

The share is published here whenever the platform has enough IP lookups in the window to report it anonymously. It runs above the share on ordinary web traffic because customers look up the sessions they already suspect.

Where do these numbers come from?

From the 1Lookup platform's own database: the classification each completed lookup returned, counted per product over a rolling window of complete UTC days. Only counts and percentages are published. No lookup input, customer or organisation is exposed, a product needs at least 500 lookups from at least 5 organisations to be reported, and any bucket under 25 lookups is folded into 'other'.

Live platform data, refreshed hourly

Contact Data Quality on the 1Lookup Platform

Every lookup that runs on 1Lookup returns a classification: mobile or VoIP, deliverable or not, residential or proxy. This page is the sum of those classifications over the last 30 complete days. It is the one statistic on this site nobody can copy, because it comes from what our customers actually checked.

The live numbers are not available at the moment. They return automatically once the platform clears its privacy floors for the current window; the explanation of each measure below still holds, and the daily briefing carries the day-by-day figures.

Phone numbers

What the platform saw across every phone validation and spam check. VoIP share is the number to watch: a VoIP line is where throwaway signups and fake leads live, and it is invisible to a format check.

Withheld for this window: the platform did not see enough phone numbers from enough different organisations to publish a share without risking identifying one of them.

Email addresses

Deliverability is the bounce risk; provider type shows how much of a list is disposable; address type shows how many are role inboxes (info@, sales@) that no individual reads.

Withheld for this window: the platform did not see enough email addresses from enough different organisations to publish a share without risking identifying one of them.

IP addresses

Connection type separates residential and mobile traffic from proxies, VPN exits and datacenters. Anonymity is the same question asked from the fraud side.

Withheld for this window: the platform did not see enough ip addresses from enough different organisations to publish a share without risking identifying one of them.

How this was measured

Source. The classification field of every completed, non-test lookup in the 1Lookup database, grouped per product over the last 30 complete UTC days. Today's partial day is never included, so the same window reads the same all day. The platform is 1Lookup.io, part of the Momentum Labs group of companies and the data partner for its sister brands (Prymatica, Emailchaser, VoiceDrop and ExpressNumber), whose own verification traffic is part of what is counted here.
Privacy floors. A product is reported only with at least 500 lookups from at least 5 distinct organisations in the window; a bucket under 25 lookups is folded into “other”. A missing block means the floor was not cleared, not that the value was zero.
What it is not. A random sample of anything. Customers verify the lists and signups they are worried about, so every share here runs above the rate you would see on a clean first-party list and below the rate on an old purchased one.
Reproduce it. The same payload is public JSON at app.1lookup.io/api/v1/public/daily-signals?window=30 (also 7 and 90), and the per-day series is at ?date=YYYY-MM-DD.

Questions this page answers

What percentage of phone numbers are VoIP?: The figure is published here whenever the platform has enough traffic to report it without identifying a customer. It describes numbers checked on 1Lookup, not all phone numbers.
What share of phone numbers on a list are invalid or disconnected?: The share is published here whenever the platform clears its privacy floors for the window. It varies a lot by list age: numbers collected months ago fail far more often than numbers validated at signup.
How many email addresses are undeliverable?: The share is published here whenever the platform has enough verified addresses in the window to report it anonymously.
What share of IP addresses are proxies or VPNs?: The share is published here whenever the platform has enough IP lookups in the window to report it anonymously. It runs above the share on ordinary web traffic because customers look up the sessions they already suspect.
Where do these numbers come from?: From the 1Lookup platform's own database: the classification each completed lookup returned, counted per product over a rolling window of complete UTC days. Only counts and percentages are published. No lookup input, customer or organisation is exposed, a product needs at least 500 lookups from at least 5 organisations to be reported, and any bucket under 25 lookups is folded into 'other'.

Check your own list against these

The fastest way to know where your data sits is to run a sample through the same checks. The free tools take one value at a time with no signup: VoIP checker, email verifier, VPN and proxy detection. A whole list goes through the phone validation API or a CSV upload in the app, and every number is scored on the Four-Signal Phone Check.