<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>35.11</No.Unmarried><No. Married>60.5</No. Married><No. Widow>3.89</No. Widow><No. Divorced>0.5</No. Divorced></row>
<row _id="3"><Age Group>15-19</Age Group><Total>100</Total><No.Unmarried>97.37</No.Unmarried><No. Married>2.59</No. Married><No. Widow>0.0</No. Widow><No. Divorced>0.04</No. Divorced></row>
<row _id="4"><Age Group>20-24</Age Group><Total>100</Total><No.Unmarried>76.24</No.Unmarried><No. Married>23.29</No. Married><No. Widow>0.25</No. Widow><No. Divorced>0.21</No. Divorced></row>
<row _id="5"><Age Group>25-29</Age Group><Total>100</Total><No.Unmarried>38.66</No.Unmarried><No. Married>60.54</No. Married><No. Widow>0.46</No. Widow><No. Divorced>0.34</No. Divorced></row>
<row _id="6"><Age Group>30-34</Age Group><Total>100</Total><No.Unmarried>13.08</No.Unmarried><No. Married>85.23</No. Married><No. Widow>0.85</No. Widow><No. Divorced>0.84</No. Divorced></row>
<row _id="7"><Age Group>35-39</Age Group><Total>100</Total><No.Unmarried>5.03</No.Unmarried><No. Married>93.25</No. Married><No. Widow>0.64</No. Widow><No. Divorced>1.08</No. Divorced></row>
<row _id="8"><Age Group>40-44</Age Group><Total>100</Total><No.Unmarried>3.01</No.Unmarried><No. Married>95.63</No. Married><No. Widow>0.83</No. Widow><No. Divorced>0.53</No. Divorced></row>
<row _id="9"><Age Group>45-49</Age Group><Total>100</Total><No.Unmarried>1.25</No.Unmarried><No. Married>95.68</No. Married><No. Widow>2.33</No. Widow><No. Divorced>0.74</No. Divorced></row>
<row _id="10"><Age Group>50-54</Age Group><Total>100</Total><No.Unmarried>0.73</No.Unmarried><No. Married>94.39</No. Married><No. Widow>4.02</No. Widow><No. Divorced>0.86</No. Divorced></row>
<row _id="11"><Age Group>55-59</Age Group><Total>100</Total><No.Unmarried>0.85</No.Unmarried><No. Married>93.11</No. Married><No. Widow>5.95</No. Widow><No. Divorced>0.09</No. Divorced></row>
<row _id="12"><Age Group>60+</Age Group><Total>100</Total><No.Unmarried>0.6</No.Unmarried><No. Married>76.25</No. Married><No. Widow>22.35</No. Widow><No. Divorced>0.8</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>27.4</No.Unmarried><No. Married>63.24</No. Married><No. Widow>8.57</No. Widow><No. Divorced>0.78</No. Divorced></row>
<row _id="15"><Age Group>15-19</Age Group><Total>100</Total><No.Unmarried>90.14</No.Unmarried><No. Married>9.64</No. Married><No. Widow>0.04</No. Widow><No. Divorced>0.19</No. Divorced></row>
<row _id="16"><Age Group>20-24</Age Group><Total>100</Total><No.Unmarried>52.0</No.Unmarried><No. Married>47.23</No. Married><No. Widow>0.24</No. Widow><No. Divorced>0.53</No. Divorced></row>
<row _id="17"><Age Group>25-29</Age Group><Total>100</Total><No.Unmarried>18.49</No.Unmarried><No. Married>80.05</No. Married><No. Widow>0.5</No. Widow><No. Divorced>0.95</No. Divorced></row>
<row _id="18"><Age Group>30-34</Age Group><Total>100</Total><No.Unmarried>5.37</No.Unmarried><No. Married>91.87</No. Married><No. Widow>1.48</No. Widow><No. Divorced>1.29</No. Divorced></row>
<row _id="19"><Age Group>35-39</Age Group><Total>100</Total><No.Unmarried>2.37</No.Unmarried><No. Married>93.9</No. Married><No. Widow>2.31</No. Widow><No. Divorced>1.43</No. Divorced></row>
<row _id="20"><Age Group>40-44</Age Group><Total>100</Total><No.Unmarried>2.45</No.Unmarried><No. Married>91.73</No. Married><No. Widow>4.44</No. Widow><No. Divorced>1.38</No. Divorced></row>
<row _id="21"><Age Group>45-49</Age Group><Total>100</Total><No.Unmarried>1.17</No.Unmarried><No. Married>89.67</No. Married><No. Widow>8.15</No. Widow><No. Divorced>1.01</No. Divorced></row>
<row _id="22"><Age Group>50-54</Age Group><Total>100</Total><No.Unmarried>1.1</No.Unmarried><No. Married>81.51</No. Married><No. Widow>16.38</No. Widow><No. Divorced>1.02</No. Divorced></row>
<row _id="23"><Age Group>55-59</Age Group><Total>100</Total><No.Unmarried>1.4</No.Unmarried><No. Married>76.97</No. Married><No. Widow>21.31</No. Widow><No. Divorced>0.32</No. Divorced></row>
<row _id="24"><Age Group>60+</Age Group><Total>100</Total><No.Unmarried>1.2</No.Unmarried><No. Married>47.79</No. Married><No. Widow>50.58</No. Widow><No. Divorced>0.43</No. Divorced></row>
</data>
