<data>
<row _id="1"><Age Group>All Ages</Age Group><Number>1772948</Number><Male(%) Percent>100</Male(%) Percent><Male Number>874260</Male Number><Female(%)>100</Female(%)><Female Number>898688</Female Number><Total (%)>100</Total (%)></row>
<row _id="2"><Age Group>00-04 Yrs.</Age Group><Number>154494</Number><Male(%) Percent>8.71</Male(%) Percent><Male Number>80524</Male Number><Female(%)>9.21</Female(%)><Female Number>73970</Female Number><Total (%)>8.23</Total (%)></row>
<row _id="3"><Age Group>05-09 Yrs.</Age Group><Number>177911</Number><Male(%) Percent>10.03</Male(%) Percent><Male Number>90587</Male Number><Female(%)>10.36</Female(%)><Female Number>87324</Female Number><Total (%)>9.72</Total (%)></row>
<row _id="4"><Age Group>10-14 Yrs.</Age Group><Number>200201</Number><Male(%) Percent>11.29</Male(%) Percent><Male Number>100663</Male Number><Female(%)>11.51</Female(%)><Female Number>99538</Female Number><Total (%)>11.08</Total (%)></row>
<row _id="5"><Age Group>15-19 Yrs.</Age Group><Number>187196</Number><Male(%) Percent>10.56</Male(%) Percent><Male Number>90917</Male Number><Female(%)>10.4</Female(%)><Female Number>96279</Female Number><Total (%)>10.71</Total (%)></row>
<row _id="6"><Age Group>20-24 Yrs.</Age Group><Number>162485</Number><Male(%) Percent>9.16</Male(%) Percent><Male Number>77272</Male Number><Female(%)>8.84</Female(%)><Female Number>85213</Female Number><Total (%)>9.48</Total (%)></row>
<row _id="7"><Age Group>25-29 Yrs.</Age Group><Number>136792</Number><Male(%) Percent>7.72</Male(%) Percent><Male Number>68070</Male Number><Female(%)>7.79</Female(%)><Female Number>68722</Female Number><Total (%)>7.65</Total (%)></row>
<row _id="8"><Age Group>30-34 Yrs.</Age Group><Number>116963</Number><Male(%) Percent>6.6</Male(%) Percent><Male Number>57644</Male Number><Female(%)>6.59</Female(%)><Female Number>59319</Female Number><Total (%)>6.6</Total (%)></row>
<row _id="9"><Age Group>35-39 Yrs.</Age Group><Number>108757</Number><Male(%) Percent>6.13</Male(%) Percent><Male Number>53138</Male Number><Female(%)>6.08</Female(%)><Female Number>55619</Female Number><Total (%)>6.19</Total (%)></row>
<row _id="10"><Age Group>40-44 Yrs.</Age Group><Number>95495</Number><Male(%) Percent>5.39</Male(%) Percent><Male Number>45313</Male Number><Female(%)>5.18</Female(%)><Female Number>50182</Female Number><Total (%)>5.58</Total (%)></row>
<row _id="11"><Age Group>45-49 Yrs.</Age Group><Number>82858</Number><Male(%) Percent>4.67</Male(%) Percent><Male Number>39795</Male Number><Female(%)>4.55</Female(%)><Female Number>43063</Female Number><Total (%)>4.79</Total (%)></row>
<row _id="12"><Age Group>50-54 Yrs.</Age Group><Number>85379</Number><Male(%) Percent>4.82</Male(%) Percent><Male Number>41723</Male Number><Female(%)>4.77</Female(%)><Female Number>43656</Female Number><Total (%)>4.86</Total (%)></row>
<row _id="13"><Age Group>55-59 Yrs.</Age Group><Number>68362</Number><Male(%) Percent>3.86</Male(%) Percent><Male Number>34310</Male Number><Female(%)>3.92</Female(%)><Female Number>34052</Female Number><Total (%)>3.79</Total (%)></row>
<row _id="14"><Age Group>60-64 Yrs.</Age Group><Number>63683</Number><Male(%) Percent>3.59</Male(%) Percent><Male Number>31271</Male Number><Female(%)>3.58</Female(%)><Female Number>32412</Female Number><Total (%)>3.61</Total (%)></row>
<row _id="15"><Age Group>65-69 Yrs.</Age Group><Number>48905</Number><Male(%) Percent>2.76</Male(%) Percent><Male Number>24279</Male Number><Female(%)>2.78</Female(%)><Female Number>24626</Female Number><Total (%)>2.74</Total (%)></row>
<row _id="16"><Age Group>70-74 Yrs.</Age Group><Number>40353</Number><Male(%) Percent>2.28</Male(%) Percent><Male Number>18775</Male Number><Female(%)>2.15</Female(%)><Female Number>21578</Female Number><Total (%)>2.4</Total (%)></row>
<row _id="17"><Age Group>75-79 Yrs.</Age Group><Number>23682</Number><Male(%) Percent>1.34</Male(%) Percent><Male Number>11095</Male Number><Female(%)>1.27</Female(%)><Female Number>12587</Female Number><Total (%)>1.4</Total (%)></row>
<row _id="18"><Age Group>80-84 Yrs.</Age Group><Number>11472</Number><Male(%) Percent>0.65</Male(%) Percent><Male Number>5473</Male Number><Female(%)>0.63</Female(%)><Female Number>5999</Female Number><Total (%)>0.67</Total (%)></row>
<row _id="19"><Age Group>85-89 Yrs.</Age Group><Number>5215</Number><Male(%) Percent>0.29</Male(%) Percent><Male Number>2355</Male Number><Female(%)>0.27</Female(%)><Female Number>2860</Female Number><Total (%)>0.32</Total (%)></row>
<row _id="20"><Age Group>90-94 Yrs.</Age Group><Number>1859</Number><Male(%) Percent>0.1</Male(%) Percent><Male Number>716</Male Number><Female(%)>0.08</Female(%)><Female Number>1143</Female Number><Total (%)>0.13</Total (%)></row>
<row _id="21"><Age Group>95+ Yrs.</Age Group><Number>886</Number><Male(%) Percent>0.05</Male(%) Percent><Male Number>340</Male Number><Female(%)>0.04</Female(%)><Female Number>546</Female Number><Total (%)>0.06</Total (%)></row>
</data>
