<data>
<row _id="1"><Age Group>Men</Age Group><Total xsi:nil="true" /><No.Unmarried xsi:nil="true" /><No. Married xsi:nil="true" /><No. Widow xsi:nil="true" /><No. Divorced xsi:nil="true" /></row>
<row _id="2"><Age Group>All ages</Age Group><Total>100</Total><No.Unmarried>36.29</No.Unmarried><No. Married>60.22</No. Married><No. Widow>3.17</No. Widow><No. Divorced>0.32</No. Divorced></row>
<row _id="3"><Age Group>15-19</Age Group><Total>100</Total><No.Unmarried>97.64</No.Unmarried><No. Married>2.33</No. Married><No. Widow>0.0</No. Widow><No. Divorced>0.02</No. Divorced></row>
<row _id="4"><Age Group>20-24</Age Group><Total>100</Total><No.Unmarried>75.11</No.Unmarried><No. Married>24.6</No. Married><No. Widow>0.16</No. Widow><No. Divorced>0.13</No. Divorced></row>
<row _id="5"><Age Group>25-29</Age Group><Total>100</Total><No.Unmarried>37.89</No.Unmarried><No. Married>61.4</No. Married><No. Widow>0.44</No. Widow><No. Divorced>0.27</No. Divorced></row>
<row _id="6"><Age Group>30-34</Age Group><Total>100</Total><No.Unmarried>13.51</No.Unmarried><No. Married>85.3</No. Married><No. Widow>0.57</No. Widow><No. Divorced>0.62</No. Divorced></row>
<row _id="7"><Age Group>35-39</Age Group><Total>100</Total><No.Unmarried>4.94</No.Unmarried><No. Married>93.79</No. Married><No. Widow>0.56</No. Widow><No. Divorced>0.71</No. Divorced></row>
<row _id="8"><Age Group>40-44</Age Group><Total>100</Total><No.Unmarried>2.62</No.Unmarried><No. Married>96.23</No. Married><No. Widow>0.85</No. Widow><No. Divorced>0.3</No. Divorced></row>
<row _id="9"><Age Group>45-49</Age Group><Total>100</Total><No.Unmarried>1.39</No.Unmarried><No. Married>96.01</No. Married><No. Widow>2.12</No. Widow><No. Divorced>0.49</No. Divorced></row>
<row _id="10"><Age Group>50-54</Age Group><Total>100</Total><No.Unmarried>1.06</No.Unmarried><No. Married>94.89</No. Married><No. Widow>3.56</No. Widow><No. Divorced>0.49</No. Divorced></row>
<row _id="11"><Age Group>55-59</Age Group><Total>100</Total><No.Unmarried>0.76</No.Unmarried><No. Married>93.83</No. Married><No. Widow>5.36</No. Widow><No. Divorced>0.05</No. Divorced></row>
<row _id="12"><Age Group>60+</Age Group><Total>100</Total><No.Unmarried>0.65</No.Unmarried><No. Married>78.95</No. Married><No. Widow>19.87</No. Widow><No. Divorced>0.53</No. Divorced></row>
<row _id="13"><Age Group>Women</Age Group><Total xsi:nil="true" /><No.Unmarried xsi:nil="true" /><No. Married xsi:nil="true" /><No. Widow xsi:nil="true" /><No. Divorced xsi:nil="true" /></row>
<row _id="14"><Age Group>All ages</Age Group><Total>100</Total><No.Unmarried>26.81</No.Unmarried><No. Married>63.97</No. Married><No. Widow>8.63</No. Widow><No. Divorced>0.58</No. Divorced></row>
<row _id="15"><Age Group>15-19</Age Group><Total>100</Total><No.Unmarried>88.7</No.Unmarried><No. Married>11.12</No. Married><No. Widow>0.04</No. Widow><No. Divorced>0.14</No. Divorced></row>
<row _id="16"><Age Group>20-24</Age Group><Total>100</Total><No.Unmarried>47.77</No.Unmarried><No. Married>51.66</No. Married><No. Widow>0.18</No. Widow><No. Divorced>0.39</No. Divorced></row>
<row _id="17"><Age Group>25-29</Age Group><Total>100</Total><No.Unmarried>17.23</No.Unmarried><No. Married>81.51</No. Married><No. Widow>0.54</No. Widow><No. Divorced>0.72</No. Divorced></row>
<row _id="18"><Age Group>30-34</Age Group><Total>100</Total><No.Unmarried>5.25</No.Unmarried><No. Married>92.17</No. Married><No. Widow>1.58</No. Widow><No. Divorced>0.99</No. Divorced></row>
<row _id="19"><Age Group>35-39</Age Group><Total>100</Total><No.Unmarried>2.64</No.Unmarried><No. Married>94.13</No. Married><No. Widow>2.25</No. Widow><No. Divorced>0.97</No. Divorced></row>
<row _id="20"><Age Group>40-44</Age Group><Total>100</Total><No.Unmarried>2.29</No.Unmarried><No. Married>92.2</No. Married><No. Widow>4.37</No. Widow><No. Divorced>1.14</No. Divorced></row>
<row _id="21"><Age Group>45-49</Age Group><Total>100</Total><No.Unmarried>1.57</No.Unmarried><No. Married>89.7</No. Married><No. Widow>7.9</No. Widow><No. Divorced>0.83</No. Divorced></row>
<row _id="22"><Age Group>50-54</Age Group><Total>100</Total><No.Unmarried>1.03</No.Unmarried><No. Married>81.45</No. Married><No. Widow>16.83</No. Widow><No. Divorced>0.68</No. Divorced></row>
<row _id="23"><Age Group>55-59</Age Group><Total>100</Total><No.Unmarried>1.45</No.Unmarried><No. Married>73.02</No. Married><No. Widow>25.3</No. Widow><No. Divorced>0.24</No. Divorced></row>
<row _id="24"><Age Group>60+</Age Group><Total>100</Total><No.Unmarried>1.18</No.Unmarried><No. Married>46.0</No. Married><No. Widow>52.55</No. Widow><No. Divorced>0.27</No. Divorced></row>
</data>
