About WebChartz

WebChartz offers simple website traffic estimates of daily visitors and historical popularity charts, completely free - no account needed.

Ranking and popularity data is updated weekly. Website traffic estimates assume an inverse relationship beyween Website Ranks and Popularity (# of daily visitors). A general assumption is made that approximate # of daily visitors on a website is ~ 2,000,000,000 (2 Bln) divided by the Rank. For example, Google with Rank 1 will have ~ 2 Bln visitors. A site with Rank 1,000 will have ~ 2 Bln / 1,000 = 2 Mln visitors. A site wito Rank 50,000 will have ~ 2 Bln / 50,000 = 40,000 visitors, and so on. In most cases, based on our past experience, such assumption results in reasonable general rough estimates.

Data Details:

Last Update: October 18, 2025

Data from Cisco Umbrella top 1M lists is used for estimates / charts.

1) Amazon used to have Alexa toolbar which collected information on website usage with reports being available in 2009-2023. This data was technically skewed toward general audience that used such toolbar, which would be more tech-savvy and business oriented.

2) Cisco Umbrella started releasing their data in 2017. Cisco uses summary from their network equipment which is not skewed by user type, however it has "noise" from advertising, background services, CDN and API servers which do not host websites. The first few months of 2017 Cisco Umbrella data also had slightly different ranking and are ignored.

3) Generally, Cisco data is used starting from 2018 as it's more consistent this way.

4) Ranks are averaged during each week, and these averages are used for charting.

5) We have Alexa historical data between 2009 - 2023 as well. If you need charts with longer history starting from 2009-2010, we can develop an algorithm to align data between Alexa and Cisco. Please contact us through Facebook or LinkedIn

Privacy Policy:

We do not collect your data, and there are no cookies to track your activity. "Your Search History" on the home page uses a file in your local storage. You can easily clear it via "Clear Data". "Global Search History" is aggregated statistics, and does not use any personal information.

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