As I mentioned in my previous post, I am starting to plan more Developer Relations work in India and I want to get a better understanding of how users in India experience the web. In that post I had a very simple heuristic for determine a site in India, is it a '.in' domain. I knew that this wasn't the best way to look at it, but it felt like a good first go.

What I really wanted was a way to understand the sites that users in India visit and then get their scores ranked by popularity of the site.

Luckily the Chrome UX report has some of that data. The Chrome UX Report has a series of tables in BigQuery that contain a list of many of the top origins that users in India visit (the table is chrome-ux-report.country_in.20180 — note the '_in' which denotes the country). The Chrome UX Report has a lot more data for each origin such as the aggregated speed of the site for actual users, but I really only needed the URLs.

Using the data from Chrome UX report, and combining it with the Alexa ranking table in HTTP Archive along with the previously mentioned HTTPArchive lighthouse scores we can get a better picture of what users in India actually see.

SELECT
  url, rank,
  JSON_EXTRACT(report, '$.categories.seo.score') AS seo_score,
  JSON_EXTRACT(report, '$.categories.pwa.score') AS pwa_score,
  JSON_EXTRACT(report, '$.categories.performance.score') AS speed_score,
  JSON_EXTRACT(report, '$.categories.accessibility.score') AS accessibility_score
FROM
  `httparchive.lighthouse.2018_08_01_mobile`
JOIN (
  SELECT
    DISTINCT origin,
    Alexa_rank AS rank
  FROM
    `httparchive.urls.20170315`
  JOIN
    `chrome-ux-report.country_in.201807`
  ON
    NET.REG_DOMAIN(origin) = Alexa_domain) AS crux
  ON
    url = CONCAT(origin, '/')
ORDER BY
  rank ASC, url ASC

Running the above query returns a lot of data, too much for Google Sheets, so I only analysed roughly the top 16,000 sites (up to about 7k in the Alexa Rankings). Below is the data aggregated without comment.

Top 7k

Alexa Top 100

Alexa Top 1000

I think the tools developers and businesses now have in their hands can make a huge difference to our ability to make reasoned and principled decisions on how users actually feel the experience of the web globally. For me, this data gives me base line that I can look at to see if our strategies for our devrel work influence the ecosystem in the long-term.

I lead the Chrome Developer Relations team at Google.

We want people to have the best experience possible on the web without having to install a native app or produce content in a walled garden.

Our team tries to make it easier for developers to build on the web by supporting every Chrome release, creating great content to support developers on web.dev, contributing to MDN, helping to improve browser compatibility, and some of the best developer tools like Lighthouse, Workbox, Squoosh to name just a few.

I love to learn about what you are building, and how I can help with Chrome or Web development in general, so if you want to chat with me directly, please feel free to book a consultation.

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