The effect of holidays on US births

Last week I showed a graph of the number of US births for each day in 2002, which shows a strong day-of-the-week effect. The graph also shows that the number of births on a given day is affected by US holidays. This blog post looks closer at the holiday effect. I actually conducted this analysis in 2009 for my book, but decided not to include it.

I want to identify days in 2002 that have fewer births than would be expected, given the day of the week. A box plot is often used for this sort of exploratory data analysis. The following statements use the VBOX statement in the SGPLOT procedure to create a box plot for each day of the week and to label the outliers for each day:

proc sgplot data=birthdays2002;
  title "US Births by Day of Week (2002)";
  vbox Percentage / category=Day datalabel=Date;
  yaxis grid; xaxis display=(nolabel) discreteorder=data;
run;

In the box plots (click to enlarge), the outliers for each day of the week are labeled by using values of the Date variable. Each date belongs to one of the following categories: US holidays, days near holidays, and inauspicious days.

US holidays

Several US holidays in 2002 are responsible for lower than expected births, given the day of the week:

  • Tuesday, 01JAN (New Year's Day)
  • Monday, 27MAY (Memorial Day)
  • Thursday, 04JUL (Independence Day)
  • Monday, 02SEP (Labor Day)
  • Thursday, 28NOV (Thanksgiving Day)
  • Wednesday, 25DEC (Christmas Day)

Christmas Day is the day on which the fewest babies were born.

Several "minor" holidays on Mondays also exhibit slightly smaller-than-expected births. These are not visible in the box plot graph, but can be seen in the time series graph: 21JAN (Birthday of Martin Luther King, Jr.), 18FEB (Washington's Birthday, sometimes known as "President's Day"), 14OCT (Columbus Day), and 11NOV (Veterans Day).

Days near holidays

Families often travel on days near holidays, and that includes doctors and other hospital staff. Several of these days are visible as outliers in the birth data.

  • Wednesday, 02JAN (day after New Year's Day)
  • Friday, 29NOV (day after Thanksgiving Day)
  • Tuesday, 24DEC (Christmas Eve)
  • Thursday, 26DEC (day after Christmas Day)

Friday, 03JUL (the day prior to Independence Day), also exhibits smaller-than-expected births, as seen in the time series graph.

Inauspicious days

The following dates are also outliers:

  • Monday, 01APR (April Fool's Day)
  • Thursday, 31OCT (Halloween Day)

Most parents don't want their child to be teased for being an "April Fool" all his life. It is less clear why a couple would avoid giving birth on Halloween. Superstition? Maybe. Or maybe doctors don't induce deliveries on Halloween so that they can be home for trick-or-treating?

These days might not be preferred for giving birth, but these are both blog-able holidays: I've written Halloween posts and April Fool posts.

Interestingly, for leap years, 29FEB also falls into the "inauspicious day" category. I guess parents avoid that date because the poor child would only get birthday parties every four years? Personally, I think it would be fun to be born on a leap day. And think how impressed people would be when I brag that I completed college before I celebrated my eighth birthday!

tags: Data Analysis

9 Comments

  1. Posted September 16, 2011 at 11:16 am | Permalink

    I did a similar analysis a while back, mostly as an exercise in Excel plotting techniques, and partly to refute the conclusion of a New York Times article:

    Births by Day of the Year

  2. Posted September 16, 2011 at 11:46 am | Permalink

    I'd think parents of newborns disproportionally are the parents of children aged 1 - 12 as well and probably have Halloween activities with their children.

    I thought this was going to be a post on how many children were born 9 months after a holiday. That's an analysis I'd be interested in seeing

  3. Posted September 17, 2011 at 1:22 pm | Permalink

    Very interesting ... I'm not sure how parents control when their baby is born. I'll be curious to see your follow-up analysis on most successful delay methods. :-)

    • Posted September 17, 2011 at 3:23 pm | Permalink

      The control is not at conception, it is at delivery time through induced deliveries and C-sections. You can't really "delay," you can only "speed up."

      • Sacha
        Posted October 27, 2012 at 5:24 pm | Permalink

        I wonder if part of the issue with holidays is that some psychological factor causes a delay (or early delivery for that matter), much like a woman's period can be delayed by stress or other psychological factors. I don't think a delay is completely out of the question.

  4. Posted September 17, 2011 at 5:25 pm | Permalink

    What if you made a separate box for "holidays"?

2 Trackbacks

  1. [...] The statement of the birthday matching problem is "If there are N people in a room, what is the chance that two of them have the same birthday?" Every statistical programmer implements the birthday matching problem at some point. Like estimating the value of pi and computing prime numbers, it is a classic problem that is popular because it is easy, fun, and surprising the first time you see the answer. I have used the idea of the birthday matching in several blogs, such as computing the probability that two people at a meeting have the same initials. I also examine the birthday-matching problem in Chapter 13 of my book, Statistical Programming with SAS/IML Software, both under the assumption that birthdays are uniformly distributed throughout the year and also under an empirical distribution of birthdays by using data from the National Center for Health Statistics (NCHS). The empirical distribution incorporates seasonal effects, as well as the effect of holidays on US births. [...]

  2. By The most likely birthday in the US - The DO Loop on August 30, 2012 at 2:06 pm

    [...] from [fewest deliveries] on Sunday to [most deliveries] on Tuesday. The birth data also indicate a "holiday effect" in which there are fewer babies born on US holidays. In particular, in a great instance of statistical irony, there are fewer babies born on Labor Day [...]

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