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What Startups Are Actually Getting Money?

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The flood of venture capital from 2005 through 2007 slowed considerably, but after a slow 2009, the money and venture investors seem to be back in funding action. For the full year, 2,792 companies raised a total of $23.7 billion, but while the amount of fundings have returned, the deals change. See how in this infographic.

Stand Up, Start Up: An infographic on venture capital investments

Infographic by Column Five Media

Some data sourced from CBInsights’ fourth quarter VC report.

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8 Responses to “What Startups Are Actually Getting Money?”

  1. Even worse – why this time period? You make it sound like a long time horizon with EIGHT whole quarters. Two years. Well into the recession? How about a little further look-back. What does the line graph look like over 5 years or 10 years – to 2006 or 2001. Does the graph look prettier if it’s only 2 years? Please focus on the importance of the information, not a tiny segment of time.

    Also – points already made about the infographics/pie-chart. I won’t repeat.

  2. I have to agree with the other comments here. It’s an interesting topic but you seem more concerned with branding your infographic by using ‘GigaOmish’ colours than presenting coherent data. When I start contemplating whether this infographic or the 61 page source report is the easiest way to find relevant data, it doesn’t say much about the infographic.

  3. Very interesting infographic. However, I suspect the data isn’t very accurate. Or perhaps I don’t understand the criteria / timeframe. My venture firm, OCA Ventures, did 4+ initial investments in Chicago in 2010, not to mention some follow on rounds. That makes the 7 deals in Chicago number hard to understand.

  4. Thanks for the info, but that infographic is terrible. First, please don’t use pie charts – any type of table would have given far more useful info in less space and would not need a key. Google ‘pie charts considered harmful’ if you need to know why they are one of the worst choices for showing data. Secondly, if you must use pie charts, how about finding more than muted shades of blue and grey?