Data Scientist Demographics

The graphs below show demographics for two popular but totally unrelated analytic websites. The demographics are strikingly similar.

USA is still the #1 country by far. Visitors from India spend more time on the site. Although you can't tell from these charts, US visitors tend to have more senior / manager roles, while in India we have more junior, entry-level analysts, and almost no executive. A few places have experienced big growth: Ireland, Singapore, London.

Data source: Quantcast.com. Data about gender, income, education level, and race is produced using

Demographic information about zipcodes. Zip code data is derived from your IP address.
User information from ISPs. Several big ISPs (Internet Service Providers) sell (anonymized?) information about user accounts, broken down by IP address, to Quantcast. Then Quancast's data science engine performs statistical inferences based on this sample ISP data.
Surveys or other sources, e.g. when you install some toolbar on your browser, allowing your web browsing activity to be monitored to produce summary statistics (this methodology is subject to big biases as people installing toolbars are very different from those who don't). This was Alexa's favorite way to produce the traffic statistics, a while back.

An index of 145 means that the website in question, for the metric in question, is 45% above average. The 100 reference (100 = average) is computed across all internet users. It is clear that these two websites attract highly educated, wealthy males, predominantly with Asian origin, living mostly in US.

Question: are there any major differences between the two websites? I don't see any.