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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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This plot was created with Matplotlib.
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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I, the copyright holder of this work, hereby publish it under the following license:
w:en:Creative Commons
attribution share alike
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Under the following conditions:
  • attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
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13 October 2020

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Date/TimeThumbnailDimensionsUserComment
current06:14, 13 October 2020Thumbnail for version as of 06:14, 13 October 2020405 × 338 (54 KB)OmegatronUploaded own work with UploadWizard

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