<data>
<row _id="1"><Age Group>All Ages</Age Group><Number>1688412</Number><Male(%) Percent>100</Male(%) Percent><Male Number>823761</Male Number><Female(%)>100</Female(%)><Female Number>864651</Female Number><Total (%)>100</Total (%)></row>
<row _id="2"><Age Group>00-04 Yrs.</Age Group><Number>168801</Number><Male(%) Percent>10</Male(%) Percent><Male Number>88558</Male Number><Female(%)>10.75</Female(%)><Female Number>80243</Female Number><Total (%)>9.28</Total (%)></row>
<row _id="3"><Age Group>05-09 Yrs.</Age Group><Number>181718</Number><Male(%) Percent>10.76</Male(%) Percent><Male Number>93345</Male Number><Female(%)>11.33</Female(%)><Female Number>88373</Female Number><Total (%)>10.22</Total (%)></row>
<row _id="4"><Age Group>10-14 Yrs.</Age Group><Number>208372</Number><Male(%) Percent>12.34</Male(%) Percent><Male Number>105671</Male Number><Female(%)>12.83</Female(%)><Female Number>102701</Female Number><Total (%)>11.88</Total (%)></row>
<row _id="5"><Age Group>15-19 Yrs.</Age Group><Number>196744</Number><Male(%) Percent>11.65</Male(%) Percent><Male Number>95552</Male Number><Female(%)>11.6</Female(%)><Female Number>101192</Female Number><Total (%)>11.7</Total (%)></row>
<row _id="6"><Age Group>20-24 Yrs.</Age Group><Number>171261</Number><Male(%) Percent>10.14</Male(%) Percent><Male Number>78794</Male Number><Female(%)>9.57</Female(%)><Female Number>92467</Female Number><Total (%)>10.69</Total (%)></row>
<row _id="7"><Age Group>25-29 Yrs.</Age Group><Number>133332</Number><Male(%) Percent>7.9</Male(%) Percent><Male Number>62847</Male Number><Female(%)>7.63</Female(%)><Female Number>70485</Female Number><Total (%)>8.15</Total (%)></row>
<row _id="8"><Age Group>30-34 Yrs.</Age Group><Number>110629</Number><Male(%) Percent>6.55</Male(%) Percent><Male Number>51760</Male Number><Female(%)>6.28</Female(%)><Female Number>58869</Female Number><Total (%)>6.81</Total (%)></row>
<row _id="9"><Age Group>35-39 Yrs.</Age Group><Number>100490</Number><Male(%) Percent>5.95</Male(%) Percent><Male Number>46602</Male Number><Female(%)>5.66</Female(%)><Female Number>53888</Female Number><Total (%)>6.23</Total (%)></row>
<row _id="10"><Age Group>40-44 Yrs.</Age Group><Number>86139</Number><Male(%) Percent>5.1</Male(%) Percent><Male Number>39691</Male Number><Female(%)>4.82</Female(%)><Female Number>46448</Female Number><Total (%)>5.37</Total (%)></row>
<row _id="11"><Age Group>45-49 Yrs.</Age Group><Number>73055</Number><Male(%) Percent>4.33</Male(%) Percent><Male Number>34930</Male Number><Female(%)>4.24</Female(%)><Female Number>38125</Female Number><Total (%)>4.41</Total (%)></row>
<row _id="12"><Age Group>50-54 Yrs.</Age Group><Number>69706</Number><Male(%) Percent>4.13</Male(%) Percent><Male Number>34094</Male Number><Female(%)>4.14</Female(%)><Female Number>35612</Female Number><Total (%)>4.12</Total (%)></row>
<row _id="13"><Age Group>55-59 Yrs.</Age Group><Number>53683</Number><Male(%) Percent>3.18</Male(%) Percent><Male Number>27094</Male Number><Female(%)>3.29</Female(%)><Female Number>26589</Female Number><Total (%)>3.08</Total (%)></row>
<row _id="14"><Age Group>60-64 Yrs.</Age Group><Number>47987</Number><Male(%) Percent>2.84</Male(%) Percent><Male Number>23430</Male Number><Female(%)>2.84</Female(%)><Female Number>24557</Female Number><Total (%)>2.84</Total (%)></row>
<row _id="15"><Age Group>65-69 Yrs.</Age Group><Number>34780</Number><Male(%) Percent>2.06</Male(%) Percent><Male Number>17196</Male Number><Female(%)>2.09</Female(%)><Female Number>17584</Female Number><Total (%)>2.03</Total (%)></row>
<row _id="16"><Age Group>70-74 Yrs.</Age Group><Number>28770</Number><Male(%) Percent>1.7</Male(%) Percent><Male Number>13352</Male Number><Female(%)>1.62</Female(%)><Female Number>15418</Female Number><Total (%)>1.78</Total (%)></row>
<row _id="17"><Age Group>75-79 Yrs.</Age Group><Number>14453</Number><Male(%) Percent>0.86</Male(%) Percent><Male Number>6790</Male Number><Female(%)>0.82</Female(%)><Female Number>7663</Female Number><Total (%)>0.89</Total (%)></row>
<row _id="18"><Age Group>80-84 Yrs.</Age Group><Number>5250</Number><Male(%) Percent>0.31</Male(%) Percent><Male Number>2605</Male Number><Female(%)>0.32</Female(%)><Female Number>2645</Female Number><Total (%)>0.31</Total (%)></row>
<row _id="19"><Age Group>85-89 Yrs.</Age Group><Number>2004</Number><Male(%) Percent>0.12</Male(%) Percent><Male Number>978</Male Number><Female(%)>0.12</Female(%)><Female Number>1026</Female Number><Total (%)>0.12</Total (%)></row>
<row _id="20"><Age Group>90-94 Yrs.</Age Group><Number>742</Number><Male(%) Percent>0.04</Male(%) Percent><Male Number>283</Male Number><Female(%)>0.03</Female(%)><Female Number>459</Female Number><Total (%)>0.05</Total (%)></row>
<row _id="21"><Age Group>95+ Yrs.</Age Group><Number>496</Number><Male(%) Percent>0.03</Male(%) Percent><Male Number>189</Male Number><Female(%)>0.02</Female(%)><Female Number>307</Female Number><Total (%)>0.04</Total (%)></row>
</data>
