Preliminary Podcasting Survey Results

Post ImageVia Derek I came across Peter Chen’s preliminary statistics from his podcasting and videoblogging survey. He makes it clear that the results are preliminary, and that follow-up data is being requested with more analysis to come. Having said that, the results are quite interesting! Here are some highlights I picked out:

  • Looks like the majority of podcasters publish content weekly. (48.77 %)
  • Average episode length is just over 29 minutes.
  • The average number of minutes spent producing an episode is almost 260! That’s an incredibly high number that we hope to reduce with our solutions. I know how much time it takes – that’s one reason I stopped BlogosphereRadio to focus on building the tools!
  • About 61% of respondents say they have no business model – they do it as a private endeavor. Sounds like my Average Joe Podcasting post was spot on!
  • English is overwhelmingly the most commonly spoken language. (85.75 %)
  • One stat that surprised me – around 83% of respondents were male. For some reason, I expected that to be a little lower. I think it’s because of the recent push in blogging to find female voices; I probably figured that podcasting would benefit.

Very intriguing results. I look forward to seeing what Peter comes up with next. I also wonder just how representative these numbers are – there’s no margin of error or anything posted (probably because they are preliminary results).

Read: Peter Chen

  • http://www.penmachine.com/2005/10/who-are-podcasters.html Penmachine words music comment

    I’m not sure you _could_ have a margin of error, since it’s not a random sample of podcasters, and can’t be considered statistically representative. Classic example: http://www.studyworksonline.com/cda/content/new_worksheet/0,,EXP545_NAV2-76_SWK543,0

  • http://www.penmachine.com/2005/10/who-are-podcasters.html Penmachine words music comment
  • http://peterchen.members.grokthis.net Peter Chen

    Yes, and no. Classically we’re talking about 5 to 6 percent where n=366, but the links are correct, sampling bias will be a problem here (and will be fully outlined in the final analysis).

    Three areas of bias will be likely:

    1. bias by referall sampling

    2. bias by language (english)

    3. bias by recruitment method

    note three methods employed:

    1. general advertising

    2. direct email (vis "research spam")

    3. snowball

    Cheers,

    Peter

  • http://blog.mastermaq.ca Mack D. Male

    Thanks for the information Peter. Looking forward to the final analysis!

  • http://www.google.com/search?q=Mishtu Mishtu

    Are these numbers global numbers? Where can I get geography specific numbers on podcasting? For eg, the number of podcasts/podcasters in the UK?