<data>
<row _id="1"><Age Group>All Ages</Age Group><Number>6114600</Number><Male(%) Percent>100</Male(%) Percent><Male Number>3065751</Male Number><Female(%)>100</Female(%)><Female Number>3048849</Female Number><Total (%)>100</Total (%)></row>
<row _id="2"><Age Group>00-04 Yrs.</Age Group><Number>641122</Number><Male(%) Percent>10.49</Male(%) Percent><Male Number>343350</Male Number><Female(%)>11.2</Female(%)><Female Number>297772</Female Number><Total (%)>9.77</Total (%)></row>
<row _id="3"><Age Group>05-09 Yrs.</Age Group><Number>703465</Number><Male(%) Percent>11.5</Male(%) Percent><Male Number>367293</Male Number><Female(%)>11.98</Female(%)><Female Number>336172</Female Number><Total (%)>11.03</Total (%)></row>
<row _id="4"><Age Group>10-14 Yrs.</Age Group><Number>683655</Number><Male(%) Percent>11.18</Male(%) Percent><Male Number>352252</Male Number><Female(%)>11.49</Female(%)><Female Number>331403</Female Number><Total (%)>10.87</Total (%)></row>
<row _id="5"><Age Group>15-19 Yrs.</Age Group><Number>628716</Number><Male(%) Percent>10.28</Male(%) Percent><Male Number>327285</Male Number><Female(%)>10.68</Female(%)><Female Number>301431</Female Number><Total (%)>9.89</Total (%)></row>
<row _id="6"><Age Group>20-24 Yrs.</Age Group><Number>568137</Number><Male(%) Percent>9.29</Male(%) Percent><Male Number>270626</Male Number><Female(%)>8.83</Female(%)><Female Number>297511</Female Number><Total (%)>9.76</Total (%)></row>
<row _id="7"><Age Group>25-29 Yrs.</Age Group><Number>480982</Number><Male(%) Percent>7.87</Male(%) Percent><Male Number>222693</Male Number><Female(%)>7.26</Female(%)><Female Number>258289</Female Number><Total (%)>8.47</Total (%)></row>
<row _id="8"><Age Group>30-34 Yrs.</Age Group><Number>402234</Number><Male(%) Percent>6.58</Male(%) Percent><Male Number>183710</Male Number><Female(%)>5.99</Female(%)><Female Number>218524</Female Number><Total (%)>7.17</Total (%)></row>
<row _id="9"><Age Group>35-39 Yrs.</Age Group><Number>405662</Number><Male(%) Percent>6.63</Male(%) Percent><Male Number>184460</Male Number><Female(%)>6.02</Female(%)><Female Number>221202</Female Number><Total (%)>7.26</Total (%)></row>
<row _id="10"><Age Group>40-44 Yrs.</Age Group><Number>325657</Number><Male(%) Percent>5.33</Male(%) Percent><Male Number>162490</Male Number><Female(%)>5.3</Female(%)><Female Number>163167</Female Number><Total (%)>5.35</Total (%)></row>
<row _id="11"><Age Group>45-49 Yrs.</Age Group><Number>272956</Number><Male(%) Percent>4.46</Male(%) Percent><Male Number>133759</Male Number><Female(%)>4.36</Female(%)><Female Number>139197</Female Number><Total (%)>4.57</Total (%)></row>
<row _id="12"><Age Group>50-54 Yrs.</Age Group><Number>250054</Number><Male(%) Percent>4.09</Male(%) Percent><Male Number>128977</Male Number><Female(%)>4.21</Female(%)><Female Number>121077</Female Number><Total (%)>3.97</Total (%)></row>
<row _id="13"><Age Group>55-59 Yrs.</Age Group><Number>192853</Number><Male(%) Percent>3.15</Male(%) Percent><Male Number>101572</Male Number><Female(%)>3.31</Female(%)><Female Number>91281</Female Number><Total (%)>2.99</Total (%)></row>
<row _id="14"><Age Group>60-64 Yrs.</Age Group><Number>173483</Number><Male(%) Percent>2.84</Male(%) Percent><Male Number>87346</Male Number><Female(%)>2.85</Female(%)><Female Number>86137</Female Number><Total (%)>2.83</Total (%)></row>
<row _id="15"><Age Group>65-69 Yrs.</Age Group><Number>155640</Number><Male(%) Percent>2.55</Male(%) Percent><Male Number>80973</Male Number><Female(%)>2.64</Female(%)><Female Number>74667</Female Number><Total (%)>2.45</Total (%)></row>
<row _id="16"><Age Group>70-74 Yrs.</Age Group><Number>129392</Number><Male(%) Percent>2.12</Male(%) Percent><Male Number>66137</Male Number><Female(%)>2.16</Female(%)><Female Number>63255</Female Number><Total (%)>2.07</Total (%)></row>
<row _id="17"><Age Group>75-79 Yrs.</Age Group><Number>61647</Number><Male(%) Percent>1.01</Male(%) Percent><Male Number>33110</Male Number><Female(%)>1.08</Female(%)><Female Number>28537</Female Number><Total (%)>0.94</Total (%)></row>
<row _id="18"><Age Group>80-84 Yrs.</Age Group><Number>21453</Number><Male(%) Percent>0.35</Male(%) Percent><Male Number>11136</Male Number><Female(%)>0.36</Female(%)><Female Number>10317</Female Number><Total (%)>0.34</Total (%)></row>
<row _id="19"><Age Group>85-89 Yrs.</Age Group><Number>9594</Number><Male(%) Percent>0.16</Male(%) Percent><Male Number>4930</Male Number><Female(%)>0.16</Female(%)><Female Number>4664</Female Number><Total (%)>0.15</Total (%)></row>
<row _id="20"><Age Group>90-94 Yrs.</Age Group><Number>4112</Number><Male(%) Percent>0.07</Male(%) Percent><Male Number>1971</Male Number><Female(%)>0.06</Female(%)><Female Number>2141</Female Number><Total (%)>0.07</Total (%)></row>
<row _id="21"><Age Group>95+ Yrs.</Age Group><Number>3786</Number><Male(%) Percent>0.06</Male(%) Percent><Male Number>1681</Male Number><Female(%)>0.05</Female(%)><Female Number>2105</Female Number><Total (%)>0.07</Total (%)></row>
</data>
