Nairobi residents earning between Sh30,000 and Sh49,000 a month spend the highest amount of time on social media, a new report shows.
The survey the United States International University Africa (USIU-Africa) and the US Embassy shows that low middle income earners spend up to three hours on social media on a typical day.
Majority of individuals in this category spend their time on YouTube, Instagram and WhatsApp. They are followed by middle class earners who spend up to an hour daily, and prefer LinkedIn, Twitter, Yahoo and Snapchat.
According to the Kenya National Bureau of Statistics (KNBS) Statistical Abstract, middle income earners are those paid between Sh50,000 and Sh99,999 per month.
The survey carried out between December 2018 and March 2019 showed that this category includes most entry-level jobs for university graduates in diverse sectors.
It established that men are more active on social media compared to women.
“They lead in all the social media platforms as active users. The male highly use Yahoo and Twitter more as social media platforms … It is striking that while men use Twitter the most, women use it the least and the vice versa is true when it comes to the use of Snapchat,” said the survey that sampled 3,269 respondents aged between 14 and 55 years.
Most Kenyans are active online at night, the survey showed.
WhatsApp and Facebook are the most popular platforms followed by YouTube.
The sample was drawn from Kenya’s former eight administrative provinces including Nairobi, Coast, Central, Western, Nyanza, Eastern, Rift Valley and North Eastern.
You can prove anything you want with statistics, all you need to do is be selective and pick what suits your argument. How big and representative was the sample? Ama walipick afew peasant students hapo na conclusion ikafanywa?
It’s difficult for safaricom to share such data with a third party. The data wasn’t collected for research purposes so the researchers would have to explore and organize it appropriately. That’s b4 they begin analysis. Sharing the required data would pose legal and ethical challenges.
I understand these points. I mean, the data is available, so research that could have anything go wrong with it doesn’t make sense. It makes more sense to place those efforts to overcome the challenges you’ve mentioned from the telcos to obtain the empirical data. ie Why guess when you have the answers.