
How accessible are key websites in Mozambique?
Data-driven investigation
We used automated tools to measure the accessibility violations of 90 key websites in Mozambique. Here is what we found.
February 2021
Data-driven investigation
We used automated tools to measure the accessibility violations of 90 key websites in Mozambique. Here is what we found.
February 2021
7 mins read
This web page is the result of the data-driven investigation we carried out on key websites in Mozambique. On it we will show you exactly how some of the most important websites in our country continue to exclude many of us.
We have reviewed 90 websites in total. They range from key government services to online banking, shopping and health news.
Across these 90 websites we uncovered over 700,000 accessibility violations. That works out as 38 accessibility violations per unique web page.
Let’s look at the top five most common violations.
This is just the tip of the iceberg
The automated method we used to collect this data can only capture a small proportion of accessibility violations.
For example, it does not capture things like:
1. the order a designer lays out items on a page; and
2. the order a screen reader will read them out
This mismatch can arise when changes are made to the page layout in the underlying code.
Automated accessibility testing is never enough. You need to test websites on real users too. This is what we found when we asked visually impaired users to try using some of these sites:
We compiled and categorised a list of 90 website domains and internal links (up to level 2) for each website. This gave us 18,704 unique web pages in total. We then collected the accessibility violations on each web page using axe-core. Axe-core is a popular automatic web accessibility testing tool. In total we collected 128,377 accessibility violations across all the web pages.
We would like to thank Deque for making their axe-core API open source(Opens in a new window). We would also like to thank the following accessibility experts for the advice and support they gave us in the early stages of this project: Steve Green, Andy Keyworth, Aurelien Levy and Leonie Watson. Finally, we would like to thank members of the WAI Interest Group public Discussion List(Opens in a new window) who so kindly responded to our request for feedback and advice in the early stages of our investigation.