File:U.S. Births by Time of Day.svg

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Summary

Description
English: A graph showing births in the U.S. per hour. This data is from the U.S. CDC for the year 2013.

When Are Babies Born: Morning, Noon, or Night? Birth Certificate Data for 2013. NCHS Data Brief No. 200, May 2015. T.J. Mathews, M.S.; and Sally C. Curtin, M.A.

Key findings

Data from the National Vital Statistics System

  • The highest percentages of births occurred during the morning and midday hours.
  • Births on Saturday and Sunday were more likely to occur in the late evening and early morning hours than births Monday through Friday.
  • Compared with induced vaginal deliveries and noninduced vaginal deliveries, cesarean deliveries were the least likely to occur during the evening and early morning.
  • Noninduced vaginal births were more likely than cesarean and induced vaginal births to occur in the early morning.
  • Cesarean deliveries with no trial of labor were much more concentrated during the day than were cesarean deliveries with a trial of labor.
  • Births delivered in hospitals and all births show similar time-of-day patterns.
As the use of medical interventions for childbirth (i.e., induction of labor and cesarean delivery) has increased during the last few decades, an increasing proportion of deliveries occur during regular daytime hours. Hospital personnel resources and maternal and newborn outcomes can be influenced by the time of day of delivery. Data on the time of day of the birth became available with the 2003 revision of the birth certificate. This report examines 2013 birth certificate data from the National Vital Statistics System (NVSS) to describe the time of day of birth by method of delivery and place of birth for a 41-state and District of Columbia (DC) reporting area that had adopted the 2003 revised birth certificate by January 2013. This reporting area represents 90% of U.S. births.
Date
Source Own work
Author Douglas Perkins

Code

#!/usr/bin/env python

from matplotlib import pyplot
from matplotlib import ticker
from matplotlib import numpy

# This generates a bar graph showing births by time of day.
# Data is from the U.S. CDC for the year 2013.
# For simplicity, I have rounded it here.
#
# http://www.cdc.gov/nchs/data/databriefs/db200.htm
#
# This file was written by Douglas Perkins.

data = [
("6 a.m.", 2.9),
("7 a.m.", 4.5),
("8 a.m.", 6.3),
("9 a.m.", 5.0),
("10 a.m.", 5.0),
("11 a.m.", 5.0),
("noon", 6.0),
("1 p.m.", 5.7),
("2 p.m.", 5.1),
("3 p.m.", 4.9),
("4 p.m.", 4.9),
("5 p.m.", 5.0),
("6 p.m.", 4.5),
("7 p.m.", 4.0),
("8 p.m.", 4.0),
("9 p.m.", 3.7),
("10 p.m.", 3.5),
("11 p.m.", 3.3),
("midnight", 2.9),
("1 a.m.", 2.9),
("2 a.m.", 2.8),
("3 a.m.", 2.7),
("4 a.m.", 2.7),
("5 a.m.", 2.8),
]

times = [d[0] for d in data]
births = [d[1] for d in data]

# Make a graph.
x = numpy.arange(len(times)) + 0.25
width = 0.5
pyplot.figure(num=1, figsize=(8,4.5))
pyplot.bar(x, births, width, color='orange')
pyplot.title('2013 U.S.A. Birth Times')
pyplot.ylabel('Percent of Births')
pyplot.xlabel('Time of Day')
xticks = pyplot.xticks(x + width/2.0, times, rotation='vertical')
pyplot.subplot(111).grid(b=True, axis='y')
pyplot.subplot(111).set_xlim([0, 24])
pyplot.savefig('Chapter 6.Birth Times.svg', format='svg', bbox_inches='tight')

Licensing

I, the copyright holder of this work, hereby publish it under the following license:
Creative Commons CC-Zero This file is made available under the Creative Commons CC0 1.0 Universal Public Domain Dedication.
The person who associated a work with this deed has dedicated the work to the public domain by waiving all of their rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.

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9 June 2016

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current03:42, 10 June 2016Thumbnail for version as of 03:42, 10 June 2016611 × 454 (62 KB)commons>DouglaspperkinsUser created page with UploadWizard

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