File:US abortion by gestational age 2016 histogram.svg
Summary
{{Information
|description=
Data is taken from the Centers for Disease Control and Prevention.
From TABLE 7. Reported abortions, by known weeks of gestation and reporting area of occurrence — selected reporting areas, United States, 2016
and
TABLE 9. Reported abortions obtained at ≤13 weeks’ gestation, by weeks of gestation and reporting area of occurrence — selected reporting areas, United States, 2016|date=2020-10-11
|source=Own workThis file was derived from: US abortion by gestational age 2004 histogram.svg
Category:Derivative versions
|author=Omegatron
|permission=
|other versions=
US 2004
US 2002
UK 2004
US 2016
|Other fields={{Igen|Matplotlib|+|collapse=Source code|code= """ From: https://www.cdc.gov/mmwr/volumes/68/ss/ss6811a1.htm TABLE 7. Reported abortions, by known weeks of gestation and reporting area of
occurrence — selected reporting areas, United States, 2016
TABLE 9. Reported abortions obtained at ≤13 weeks’ gestation, by weeks of
gestation and reporting area of occurrence — selected reporting areas, United States, 2016
It says ≤6, and ≤13, so I assume the "7 weeks" bin is (6, 7], for instance.
It says 18–20 and ≥21, though, which I assume means (20, 40]. """ import numpy as np import matplotlib.pyplot as plt
table = np.array([[0, 6, 148369],
[7, 7, 76293],
[8, 8, 58030],
[9, 9, 39653],
[10, 10, 24280],
[11, 11, 19742],
[12, 12, 14680],
[13, 13, 11770],
[14, 15, 15602],
[16, 17, 9089],
[18, 20, 8454],
[21, 40, 5303]])
freqs = table[:, 2] freqs = freqs / 1000 bins = np.concatenate((table[0:1, 0], table[:, 1])) assert len(bins) == len(freqs) + 1
widths = bins[1:] - bins[:-1]
heights = freqs/widths heights = freqs.astype(np.float)/widths
fig, ax = plt.subplots(figsize=(4.5, 3.8))
ax.bar(bins[:-1], heights, width=widths, align='edge',
facecolor='#B2BFD9', edgecolor='#778BB2', zorder=2)
""" Draw to match https://en.wikipedia.org/wiki/File:Abortionmethods.png """ kwargs = {'xycoords': ('data', 'axes fraction'),
'horizontalalignment': 'center',
'verticalalignment': 'center'}
ax.axvspan(0, 12, color='#ACE07B') ax.annotate('1st trimester\n(0-12 weeks)', (6, 0.93), **kwargs) ax.axvspan(12, 28, color='#D8E370') ax.annotate('2nd trimester\n(13-28 weeks)', (20, 0.93), **kwargs) ax.axvspan(28, 40, color='#E1BA72') ax.annotate('3rd trimester\n(29-40 weeks)', (34, 0.93), **kwargs) ax.axvline(12, c='gray', lw=0.2, zorder=1) ax.axvline(28, c='gray', lw=0.2, zorder=1)
ax.set_xlim(0, 40) ax.set_ylim(0, 90) ax.set_xlabel('Gestational age [weeks]') ax.set_ylabel('Abortions (×1000)') ax.minorticks_on()
plt.tight_layout() plt.show() }} }}
Data
Gest week abortions weeks/bin abortions/week ≤6 148369 6 24728.2 7 76293 1 76293 8 58030 1 58030 9 39653 1 39653 10 24280 1 24280 11 19742 1 19742 12 14680 1 14680 13 11770 1 11770 14-15 15602 2 7801 16-17 9089 2 4544.5 18-20 8454 3 2818 ≥21 5303 20 265.15
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