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Summary

Description
English: U.S. distribution of net wealth, 2013. Based on the Survey of Consumer Finance. The chart is divided into the top 20% (blue), upper middle 20% (orange), middle 20% (red), and bottom 40% (green). (The net wealth of people in the lowest 20% is negative because of debt.)
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Source Own work
Author Omegatron
SVG development
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This plot was created with Matplotlib.
Source code
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Python code

Source code 
import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl

bin_sizes = np.array((1, 4, 5, 10, 20, 20, 40, 0))[::-1]
bin_edges = np.cumsum(bin_sizes)

net_worth_2007 = np.array((34.6,	27.3,	11.2,	12,		10.9,	4,	0.2))[::-1]
net_worth_2013 = np.array((36.7,	28.2,	12.2,	11.8,	9.3,	2.7,	-0.9))[::-1]

fake_data = bin_edges[:-1]+1

plt.grid(True, which='both')

bar_list = plt.hist(fake_data, bins=bin_edges, weights=net_worth_2013,
                    normed=True)

# Colors from pie chart template
bar_list[2][0].set_color('#008000')
bar_list[2][1].set_color('#bc514c')
bar_list[2][2].set_color('#ffa500')
bar_list[2][3].set_color('#96b2da')
bar_list[2][4].set_color('#588cdb')
bar_list[2][5].set_color('#385f96')
bar_list[2][6].set_color('#273f64')


plt.title('US Distribution of Wealth, 2013')
plt.figtext(0.01, 0.01, 'Edward N. Wolff, 2014', horizontalalignment='left',
            size='small')
plt.xlabel('% of population')
plt.ylabel('% of wealth / % of population')
plt.margins(0, 0)


def y_to_percent(y, position):
    s = f'{100 * y:.0f}%'
    return s


def x_to_percent(y, position):
    s = f'{y:.0f}%'
    return s


# Set the formatter
plt.gca().yaxis.set_major_formatter(mpl.ticker.FuncFormatter(y_to_percent))
plt.gca().xaxis.set_major_formatter(mpl.ticker.FuncFormatter(x_to_percent))

Source: Edward N. Wolff, Household Wealth Trends in the United States, 1962-2013: What Happened over the Great Recession?, NBER Working Paper No. 20733, December 2014

http://www.nber.org/papers/w20733

Based on: Survey of Consumer Finance, Federal Reserve.

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w:en:Creative Commons
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You are free:
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Under the following conditions:
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  • share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.

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Date/TimeThumbnailDimensionsUserComment
current03:18, 17 September 2017Thumbnail for version as of 03:18, 17 September 2017575 × 426 (40 KB)OmegatronUser created page with UploadWizard

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