<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>38.62</No.Unmarried><No. Married>59.8</No. Married><No. Widow>1.57</No. Widow><No. Divorced>0.01</No. Divorced></row>
<row _id="3"><Age Group>15-19</Age Group><Total>100</Total><No.Unmarried>97.34</No.Unmarried><No. Married>2.66</No. Married><No. Widow>0.0</No. Widow><No. Divorced>0.0</No. Divorced></row>
<row _id="4"><Age Group>20-24</Age Group><Total>100</Total><No.Unmarried>72.77</No.Unmarried><No. Married>27.16</No. Married><No. Widow>0.08</No. Widow><No. Divorced>0.0</No. Divorced></row>
<row _id="5"><Age Group>25-29</Age Group><Total>100</Total><No.Unmarried>32.94</No.Unmarried><No. Married>66.71</No. Married><No. Widow>0.35</No. Widow><No. Divorced>0.0</No. Divorced></row>
<row _id="6"><Age Group>30-34</Age Group><Total>100</Total><No.Unmarried>10.07</No.Unmarried><No. Married>89.48</No. Married><No. Widow>0.44</No. Widow><No. Divorced>0.0</No. Divorced></row>
<row _id="7"><Age Group>35-39</Age Group><Total>100</Total><No.Unmarried>3.06</No.Unmarried><No. Married>96.7</No. Married><No. Widow>0.24</No. Widow><No. Divorced>0.0</No. Divorced></row>
<row _id="8"><Age Group>40-44</Age Group><Total>100</Total><No.Unmarried>2.52</No.Unmarried><No. Married>96.42</No. Married><No. Widow>1.06</No. Widow><No. Divorced>0.0</No. Divorced></row>
<row _id="9"><Age Group>45-49</Age Group><Total>100</Total><No.Unmarried>1.61</No.Unmarried><No. Married>96.99</No. Married><No. Widow>1.4</No. Widow><No. Divorced>0.0</No. Divorced></row>
<row _id="10"><Age Group>50-54</Age Group><Total>100</Total><No.Unmarried>3.4</No.Unmarried><No. Married>95.77</No. Married><No. Widow>0.84</No. Widow><No. Divorced>0.0</No. Divorced></row>
<row _id="11"><Age Group>55-59</Age Group><Total>100</Total><No.Unmarried>0.0</No.Unmarried><No. Married>93.62</No. Married><No. Widow>6.38</No. Widow><No. Divorced>0.0</No. Divorced></row>
<row _id="12"><Age Group>60+</Age Group><Total>100</Total><No.Unmarried>1.61</No.Unmarried><No. Married>86.57</No. Married><No. Widow>11.69</No. Widow><No. Divorced>0.12</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>23.7</No.Unmarried><No. Married>68.67</No. Married><No. Widow>7.58</No. Widow><No. Divorced>0.05</No. Divorced></row>
<row _id="15"><Age Group>15-19</Age Group><Total>100</Total><No.Unmarried>84.27</No.Unmarried><No. Married>15.73</No. Married><No. Widow>0.0</No. Widow><No. Divorced>0.0</No. Divorced></row>
<row _id="16"><Age Group>20-24</Age Group><Total>100</Total><No.Unmarried>35.46</No.Unmarried><No. Married>64.29</No. Married><No. Widow>0.25</No. Widow><No. Divorced>0.0</No. Divorced></row>
<row _id="17"><Age Group>25-29</Age Group><Total>100</Total><No.Unmarried>10.31</No.Unmarried><No. Married>89.19</No. Married><No. Widow>0.16</No. Widow><No. Divorced>0.34</No. Divorced></row>
<row _id="18"><Age Group>30-34</Age Group><Total>100</Total><No.Unmarried>2.34</No.Unmarried><No. Married>97.03</No. Married><No. Widow>0.64</No. Widow><No. Divorced>0.0</No. Divorced></row>
<row _id="19"><Age Group>35-39</Age Group><Total>100</Total><No.Unmarried>1.13</No.Unmarried><No. Married>97.34</No. Married><No. Widow>1.53</No. Widow><No. Divorced>0.0</No. Divorced></row>
<row _id="20"><Age Group>40-44</Age Group><Total>100</Total><No.Unmarried>1.25</No.Unmarried><No. Married>95.33</No. Married><No. Widow>3.41</No. Widow><No. Divorced>0.0</No. Divorced></row>
<row _id="21"><Age Group>45-49</Age Group><Total>100</Total><No.Unmarried>0.0</No.Unmarried><No. Married>92.11</No. Married><No. Widow>7.89</No. Widow><No. Divorced>0.0</No. Divorced></row>
<row _id="22"><Age Group>50-54</Age Group><Total>100</Total><No.Unmarried>0.0</No.Unmarried><No. Married>75.61</No. Married><No. Widow>24.39</No. Widow><No. Divorced>0.0</No. Divorced></row>
<row _id="23"><Age Group>55-59</Age Group><Total>100</Total><No.Unmarried>0.0</No.Unmarried><No. Married>71.89</No. Married><No. Widow>28.11</No. Widow><No. Divorced>0.0</No. Divorced></row>
<row _id="24"><Age Group>60+</Age Group><Total>100</Total><No.Unmarried>0.0</No.Unmarried><No. Married>45.43</No. Married><No. Widow>54.57</No. Widow><No. Divorced>0.0</No. Divorced></row>
</data>
