File:UK abortion by gestational age 2019 histogram.svg

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Summary

Description
English: Histogram of abortions by gestational age for England and Wales in 2019. Horizontal axis is weeks and vertical axis is thousands of abortions per week.

Data is taken from https://www.gov.uk/government/statistics/abortion-statistics-for-england-and-wales-2019 https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/915150/abortion-statistics-2019-data-tables.ods

Table 5: Legal abortions: gestation (weeks) by purchaser and method of abortion, residents of England and Wales, 2019
Date
Source Own workThis file was derived from: US abortion by gestational age 2016 histogram.svg
Author Omegatron
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Source code
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Python code

Source code
"""
From:
https://www.gov.uk/government/statistics/abortion-statistics-for-england-and-wales-2019
https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/915150/abortion-statistics-2019-data-tables.ods
Table 5: Legal abortions: gestation (weeks) by purchaser and method of
abortion, residents of England and Wales, 2019
"""
import numpy as np
import matplotlib.pyplot as plt

table = np.array([[3,  4,   2207],
                  [5,  5,  28556],
                  [6,  6,  56246],
                  [7,  7,  39409],
                  [8,  8,  28618],
                  [9,  9,  16025],
                  [10, 10,  7448],
                  [11, 11,  6456],
                  [12, 12,  5161],
                  [13, 13,  4442],
                  [14, 14,  2290],
                  [15, 15,  2247],
                  [16, 16,  1578],
                  [17, 17,  1526],
                  [18, 18,   993],
                  [19, 19,   859],
                  [20, 20,   772],
                  [21, 21,   834],
                  [22, 22,   754],
                  [23, 23,   684],
                  [24, 24,    68],
                  [25, 25,    42],
                  [26, 27,    52],
                  [28, 31,    72],
                  [32, 40,    45]])

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, 65)
ax.set_xlabel('Gestational age [weeks]')
ax.set_ylabel('Abortions (×1000)')
ax.minorticks_on()

plt.tight_layout()
plt.show()

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w:en:Creative Commons
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