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Survey responses — what jumps out at you?

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Here are the survey responses from 1,167 respondents from last week’s gender and money survey. Rob from Bankswitcher helped with the analysis, and is willing to dig into the data a little more. I personally don’t believe all of the data — look at the household income, for example — but much of it is interesting and even surprising.

Rob has offered to do a deeper analysis if there are concrete questions about the data. From taking a look below, what jumps out at you? What questions do you have?

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  1. I agree with the strange data on personal and HHI. I think that many people are not aware of the two exact definitions, which are sometimes hard to apply if you’re still young.

    For HHI, I think we needed to differentiate between people living with their parents (high HHI), whether living with roommates or siblings or significant others should count, etc.

    Most PMB surveys include a definition so people know exactly how to answer. But for your first survey the data and analysis is still impressive. Way to go!

  2. On which questions did gender have a significant impact on people’s answers? I’d like to see those results.

  3. Why do the reported incomes surprise you? A full 1/3 or respondents have some kind of post-graduate training or schooling.

    What I found most amusing was the fact that only 75% of respondents get their financial information from finance blogs. And what? A quarter of the respondents just happened to stumble across your site that day?

  4. I’m dumbfounded by the 37% of respondents that answered “Never” to the query “I negotiate my own salary.” (Slide 10) This really stands out to me because here we are on a blog called I will teach you to be rich and a large percentage of people are remarkably passive in the one area where the majority of their personal wealth is derived.

    Perhaps Ramit would consider a “How to Negotiate Your Salary” article as timely.

  5. What the…??

    Um… no offense, I think you did a basically good job of conducting a general analysis, but wouldn’t the ultimate purpose of the survey be served better if the answers were grouped by gender? I sure would like to see how man and women differed on their answers and I hope that info will be coming…

  6. This was a gender and money survey, yet the results show no correlation between the two. In addition to the total sample pool percentages, could we see the responses by gender?

  7. I’d like to see;

    How women/men answered Q20, Q21, Q23 – is there a gap between how women see themselves and money vs how men see women and money?

    I’m also curious how people answered “Only good debt” (Q1) answered “I have following types of debt” (Q9) (answering: What do people think good debt is?) In particular, I want see how people see student loans (answering: do people see student loans as good debt?)

    Likewise, I’d be interested in seeing how the student loans were distributed among those with education and income levels. (How do the loans distribute against level of education; does the level of education significantly affect income; does income relate to the types of debt being carried.)

    I’d be curious to know how often student loans were related to other types of debt (answering: how many people who have student loans also have mortgage/consumer debt/etc. suggests: student loans prevent taking on other debt?)

    I’d like to see how income and “Types of debt” -> “I have no debt” correlate (answering: do high incomes mean low debt?)

    I’d like to know how higher education and “Main priority” (Q5) – Personal Development were related. (suggesting: there are other factors than just money that motivate people to go to school?).

    I’d like to see if “Main Priority”(Q5) – “Personal development” correlated to higher income. (suggesting: this attitude helps generate higher income)

    And I’d like to see how age relates to types of debt being carried and income level (is it the older crowd that has “no debt” and the younger crowd that dominates the student loans? Is age a good predictor of income, if controlled for education? )

  8. I’d like to see the breakdown of responses by gender. How many women vs. men felt x about budgeting, etc.

  9. dittoing Rachel Popkin and Laura–there is remarkably little content on gender considering that this is described as a survey on gender and money.

  10. I agree with Kevin above. You gathered a bunch of information that could be analyzed in a number of different ways and gave us the simplest and most generally grouped data. Could you please present the same data in a number of different ways? I think Finn Hunaus above is on the right track.

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