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Berkas:Population of israel by religion en.svg

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Ringkasan

Deskripsi
English: Population of Israel by religion, in 1949-2015
Tanggal
Sumber Karya sendiri, Data from Israel Central Bureau of Statistics [1]
Pembuat Oriaaaass~commonswiki
Versi lainnya

Arabic (العربيّة)
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Gambar vektor ini dibuat menggunakan Matplotlib
Kode sumber
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Python code

# graph of Israel's population, by religion
import numpy as np
import matplotlib.pyplot as plt

# from: Israel Central Bureau of Statistics, http://www.cbs.gov.il/shnaton67/st02_02.pdf
# format: [Year, Jewish Population, Muslim Population, Christian Population, Druze Population, Total Population]
data = np.array([
	[1949, 1013.9, 111.5, 34, 14.5, 1173.9],
	[1950, 1203, 116.1, 36, 15, 1370.1],
	[1951, 1404.4, 118.9, 39, 15.5, 1577.8],
	[1952, 1450.2, 122.8, 40.4, 16.1, 1629.5],
	[1953, 1483.6, 127.5, 41.4, 16.8, 1669.4],
	[1954, 1526, 131.8, 42, 18, 1717.8],
	[1955, 1590.5, 136.2, 43.3, 19, 1789.1],
	[1956, 1667.5, 141.3, 43.7, 19.8, 1872.4],
	[1957, 1762.8, 146.8, 45.8, 20.5, 1976],
	[1958, 1810.2, 152.8, 47.3, 21.4, 2031.7],
	[1959, 1858.8, 159.2, 48.3, 22.3, 2088.7],
	[1960, 1911.3, 166.3, 49.6, 23.3, 2150.4],
	[1961, 1981.7, 174.9, 51.3, 26.3, 2234.2],
	[1962, 2068.9, 183, 52.6, 27.3, 2331.8],
	[1963, 2155.6, 192.2, 53.9, 28.5, 2430.1],
	[1964, 2239.2, 202.3, 55.5, 28.6, 2525.6],
	[1965, 2299.1, 212.4, 57.1, 29.8, 2598.4],
	[1966, 2344.9, 223, 58.5, 31, 2657.4],
	[1967, 2383.6, 289.6, 71, 32.1, 2776.3],
	[1968, 2434.8, 300.8, 72.2, 33.3, 2841.1],
	[1969, 2506.8, 314.5, 73.5, 34.6, 2929.5],
	[1970, 2582, 328.6, 75.5, 35.9, 3022.1],
	[1971, 2662, 344, 77.3, 37.3, 3120.7],
	[1972, 2752.7, 360.6, 73.8, 37.8, 3225],
	[1973, 2845, 377.2, 76.7, 39.3, 3338.2],
	[1974, 2906.9, 395.2, 78.7, 40.8, 3421.6],
	[1975, 2959.4, 411.4, 80.1, 42.2, 3493.2],
	[1976, 3020.4, 429, 82, 43.9, 3575.4],
	[1977, 3077.3, 446.5, 83.8, 45.6, 3653.2],
	[1978, 3141.2, 463.5, 85.5, 47.3, 3737.6],
	[1979, 3218.4, 481.2, 87.6, 49, 3836.2],
	[1980, 3282.7, 498.3, 89.9, 50.7, 3921.7],
	[1981, 3320.3, 513.7, 91.5, 52.3, 3977.7],
	[1982, 3373.2, 530.8, 94, 65.6, 4063.6],
	[1983, 3412.5, 542.2, 95.9, 68, 4118.6],
	[1984, 3471.7, 559.7, 98.2, 70, 4199.7],
	[1985, 3517.2, 577.6, 99.4, 72, 4266.2],
	[1986, 3561.4, 595, 100.9, 74, 4331.3],
	[1987, 3612.9, 614.5, 103, 76.1, 4406.5],
	[1988, 3659, 634.6, 105, 78.1, 4476.8],
	[1989, 3717.1, 655.2, 107, 80.3, 4559.6],
	[1990, 3946.7, 677.7, 114.7, 82.6, 4821.7],
	[1991, 4144.6, 701.4, 128, 84.8, 5058.8],
	[1992, 4242.5, 725.4, 140.9, 87.1, 5195.9],
	[1993, 4335.2, 751.4, 151.8, 89.3, 5327.6],
	[1994, 4441.1, 781.5, 157.3, 91.7, 5471.5],
	[1995, 4522.3, 811.2, 120.6, 92.2, 5612.3],
	[1996, 4616.1, 839.9, 123.4, 94.5, 5757.9],
	[1997, 4701.6, 867.9, 126.1, 96.7, 5900],
	[1998, 4785.1, 899.8, 128.7, 99, 6041.4],
	[1999, 4872.8, 934.1, 131.8, 101.2, 6209.1],
	[2000, 4955.4, 970, 135.1, 103.8, 6369.3],
	[2001, 5025, 1004.6, 138.5, 106.3, 6508.8],
	[2002, 5094.2, 1038.3, 140.4, 108.5, 6631.1],
	[2003, 5165.4, 1072.5, 142.4, 110.8, 6748.4],
	[2004, 5237.6, 1107.4, 144.3, 113, 6869.5],
	[2005, 5313.8, 1140.6, 146.4, 115.2, 6990.7],
	[2006, 5393.4, 1173.1, 149.1, 117.5, 7116.7],
	[2007, 5478.2, 1206.1, 151.6, 119.7, 7243.6],
	[2008, 5608.9, 1254.1, 150.2, 123.2, 7419.1],
	[2009, 5701.9, 1286.5, 151.9, 125.3, 7552],
	[2010, 5802.4, 1320.5, 153.4, 127.5, 7695.1],
	[2011, 5898.4, 1353.6, 155.8, 129.5, 7836.6],
	[2012, 5999.6, 1387.5, 158.4, 131.5, 7984.5],
	[2013, 6104.5, 1420.3, 160.9, 133.4, 8134.5],
	[2014, 6219.2, 1453.8, 163.5, 135.4, 8296.9],
	[2015, 6334.5, 1488.0, 165.9, 137.3, 8463.4],
	[2016, 6446.1, 1524.0, 168.3, 139.3, 8628.6],
	[2017, 6554.5, 1561.7, 171.9, 141.2, 8797.9],
	[2018, 6664.4, 1598.4, 174.4, 143.2, 8967.6],
	[2019, 6773.2, 1635.8, 177.2, 145.1, 9140.5],
	[2020, 6873.9, 1671.3, 179.5, 146.8, 9289.8],
	[2021, 6982.6, 1708.9, 183.2, 148.6, 9453.0],
	[2022, 7101.4, 1747.3, 185.5, 150.2, 9662.0]
	]).transpose()

# percentage calculation
other = data[5] - (data[1] + data[2] + data[3] + data[4])
val = np.row_stack((data[1], data[2], data[3], data[4], other)*(100 / data[5]))

# stylize plot
plt.style.use('./presentation.mplstyle')
fig, ax = plt.subplots()
ax.stackplot(data[0], val, colors = ('#65acef', '#71c837', '#f05844', '#ffd42a', '#d8d1cc'))
plt.title('Distribution of Israel\'s Population by Religion')
plt.xlabel('Year')
plt.ylabel('% of Population')

ax.set_yticks(range(0, 101, 10))
ax.set_yticks(range(0, 101), minor = True)
ax.set_xticks(range(1900, 3000), minor = True)
plt.xlim(1949, 2015)
plt.ylim(50, 100)

ax.legend(['Jewish', 'Muslim', 'Christian', 'Druze', 'Other'], loc = 'lower left')

plt.savefig('population_of_israel_by_religion_en.svg')

Lisensi

© Pemegang hak cipta berkas ini, Israel Central Bureau of Statistics, mengizinkan orang lain untuk menggunakannya untuk tujuan apa pun, dengan syarat pemegang hak cipta disebutkan. Distribusi ulang, karya turunan, penggunaan komersial, dan penggunaan lain diizinkan.
Atribusi:
The Central Bureau of Statistics (CBS), {{{filename}}}, ({{{access-date}}}), [{{{link}}} available online] copied and distributed as is in accordance with the CBS license.

{{{template}}} According to the CBS license, you may not make the following use of the Information, whether by positive act or by omission:
  • present the Information in a misleading manner;
  • present the Information in a way that suggests that the Central Bureau of Statistics, or the State of Israel, supports or endorses you or your use of the Information;
  • make use of the Information in a manner that breaches any applicable law;
  • make use of the Information in a manner that infringes a person's privacy, including merging the Information with other sources of information with the intent of attempting to identify any individual person, business or organization;
  • present the Information in such a manner that gives the appearance that you may have received, or had access to, information held by the Office about any identifiable individual person, business or organization.
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