<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>36.68</No.Unmarried><No. Married>60.84</No. Married><No. Widow>2.36</No. Widow><No. Divorced>0.12</No. Divorced></row>
<row _id="3"><Age Group>15-19</Age Group><Total>100</Total><No.Unmarried>97.7</No.Unmarried><No. Married>2.3</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>73.08</No.Unmarried><No. Married>26.85</No. Married><No. Widow>0.07</No. Widow><No. Divorced>0.0</No. Divorced></row>
<row _id="5"><Age Group>25-29</Age Group><Total>100</Total><No.Unmarried>37.53</No.Unmarried><No. Married>61.63</No. Married><No. Widow>0.54</No. Widow><No. Divorced>0.3</No. Divorced></row>
<row _id="6"><Age Group>30-34</Age Group><Total>100</Total><No.Unmarried>13.76</No.Unmarried><No. Married>85.61</No. Married><No. Widow>0.26</No. Widow><No. Divorced>0.37</No. Divorced></row>
<row _id="7"><Age Group>35-39</Age Group><Total>100</Total><No.Unmarried>5.64</No.Unmarried><No. Married>93.63</No. Married><No. Widow>0.42</No. Widow><No. Divorced>0.31</No. Divorced></row>
<row _id="8"><Age Group>40-44</Age Group><Total>100</Total><No.Unmarried>2.17</No.Unmarried><No. Married>96.71</No. Married><No. Widow>1.12</No. Widow><No. Divorced>0.0</No. Divorced></row>
<row _id="9"><Age Group>45-49</Age Group><Total>100</Total><No.Unmarried>1.69</No.Unmarried><No. Married>95.85</No. Married><No. Widow>2.31</No. Widow><No. Divorced>0.14</No. Divorced></row>
<row _id="10"><Age Group>50-54</Age Group><Total>100</Total><No.Unmarried>1.59</No.Unmarried><No. Married>94.85</No. Married><No. Widow>3.56</No. Widow><No. Divorced>0.0</No. Divorced></row>
<row _id="11"><Age Group>55-59</Age Group><Total>100</Total><No.Unmarried>0.63</No.Unmarried><No. Married>94.15</No. Married><No. Widow>5.21</No. Widow><No. Divorced>0.0</No. Divorced></row>
<row _id="12"><Age Group>60+</Age Group><Total>100</Total><No.Unmarried>0.47</No.Unmarried><No. Married>82.15</No. Married><No. Widow>17.32</No. Widow><No. Divorced>0.07</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>25.8</No.Unmarried><No. Married>64.28</No. Married><No. Widow>9.55</No. Widow><No. Divorced>0.37</No. Divorced></row>
<row _id="15"><Age Group>15-19</Age Group><Total>100</Total><No.Unmarried>87.72</No.Unmarried><No. Married>12.16</No. Married><No. Widow>0.06</No. Widow><No. Divorced>0.06</No. Divorced></row>
<row _id="16"><Age Group>20-24</Age Group><Total>100</Total><No.Unmarried>43.89</No.Unmarried><No. Married>55.85</No. Married><No. Widow>0.0</No. Widow><No. Divorced>0.26</No. Divorced></row>
<row _id="17"><Age Group>25-29</Age Group><Total>100</Total><No.Unmarried>14.92</No.Unmarried><No. Married>83.97</No. Married><No. Widow>0.66</No. Widow><No. Divorced>0.44</No. Divorced></row>
<row _id="18"><Age Group>30-34</Age Group><Total>100</Total><No.Unmarried>4.62</No.Unmarried><No. Married>93.08</No. Married><No. Widow>1.6</No. Widow><No. Divorced>0.7</No. Divorced></row>
<row _id="19"><Age Group>35-39</Age Group><Total>100</Total><No.Unmarried>2.57</No.Unmarried><No. Married>94.87</No. Married><No. Widow>1.95</No. Widow><No. Divorced>0.6</No. Divorced></row>
<row _id="20"><Age Group>40-44</Age Group><Total>100</Total><No.Unmarried>1.5</No.Unmarried><No. Married>92.65</No. Married><No. Widow>4.94</No. Widow><No. Divorced>0.9</No. Divorced></row>
<row _id="21"><Age Group>45-49</Age Group><Total>100</Total><No.Unmarried>1.94</No.Unmarried><No. Married>90.36</No. Married><No. Widow>6.93</No. Widow><No. Divorced>0.77</No. Divorced></row>
<row _id="22"><Age Group>50-54</Age Group><Total>100</Total><No.Unmarried>0.59</No.Unmarried><No. Married>79.47</No. Married><No. Widow>19.65</No. Widow><No. Divorced>0.28</No. Divorced></row>
<row _id="23"><Age Group>55-59</Age Group><Total>100</Total><No.Unmarried>0.98</No.Unmarried><No. Married>61.71</No. Married><No. Widow>37.17</No. Widow><No. Divorced>0.15</No. Divorced></row>
<row _id="24"><Age Group>60+</Age Group><Total>100</Total><No.Unmarried>0.73</No.Unmarried><No. Married>38.41</No. Married><No. Widow>60.85</No. Widow><No. Divorced>0.0</No. Divorced></row>
</data>
