<data>
<row _id="1"><Age Group>All Ages</Age Group><Number>29164578</Number><Male(%) Percent>100</Male(%) Percent><Male Number>14253551</Male Number><Female(%)>100</Female(%)><Female Number>14911027</Female Number><Total (%)>100</Total (%)></row>
<row _id="2"><Age Group>00-04 Yrs.</Age Group><Number>2439283</Number><Male(%) Percent>8.36</Male(%) Percent><Male Number>1290525</Male Number><Female(%)>9.05</Female(%)><Female Number>1148758</Female Number><Total (%)>7.7</Total (%)></row>
<row _id="3"><Age Group>05-09 Yrs.</Age Group><Number>2766427</Number><Male(%) Percent>9.49</Male(%) Percent><Male Number>1443405</Male Number><Female(%)>10.13</Female(%)><Female Number>1323022</Female Number><Total (%)>8.87</Total (%)></row>
<row _id="4"><Age Group>10-14 Yrs.</Age Group><Number>2909865</Number><Male(%) Percent>9.98</Male(%) Percent><Male Number>1495954</Male Number><Female(%)>10.5</Female(%)><Female Number>1413911</Female Number><Total (%)>9.48</Total (%)></row>
<row _id="5"><Age Group>15-19 Yrs.</Age Group><Number>2966404</Number><Male(%) Percent>10.17</Male(%) Percent><Male Number>1494523</Male Number><Female(%)>10.49</Female(%)><Female Number>1471881</Female Number><Total (%)>9.87</Total (%)></row>
<row _id="6"><Age Group>20-24 Yrs.</Age Group><Number>2783060</Number><Male(%) Percent>9.54</Male(%) Percent><Male Number>1301018</Male Number><Female(%)>9.13</Female(%)><Female Number>1482042</Female Number><Total (%)>9.94</Total (%)></row>
<row _id="7"><Age Group>25-29 Yrs.</Age Group><Number>2459349</Number><Male(%) Percent>8.43</Male(%) Percent><Male Number>1122242</Male Number><Female(%)>7.87</Female(%)><Female Number>1337107</Female Number><Total (%)>8.97</Total (%)></row>
<row _id="8"><Age Group>30-34 Yrs.</Age Group><Number>2147712</Number><Male(%) Percent>7.36</Male(%) Percent><Male Number>978976</Male Number><Female(%)>6.87</Female(%)><Female Number>1168736</Female Number><Total (%)>7.84</Total (%)></row>
<row _id="9"><Age Group>35-39 Yrs.</Age Group><Number>2041492</Number><Male(%) Percent>7.0</Male(%) Percent><Male Number>936931</Male Number><Female(%)>6.57</Female(%)><Female Number>1104561</Female Number><Total (%)>7.41</Total (%)></row>
<row _id="10"><Age Group>40-44 Yrs.</Age Group><Number>1747832</Number><Male(%) Percent>5.99</Male(%) Percent><Male Number>828493</Male Number><Female(%)>5.81</Female(%)><Female Number>919339</Female Number><Total (%)>6.17</Total (%)></row>
<row _id="11"><Age Group>45-49 Yrs.</Age Group><Number>1436040</Number><Male(%) Percent>4.92</Male(%) Percent><Male Number>687525</Male Number><Female(%)>4.82</Female(%)><Female Number>748515</Female Number><Total (%)>5.02</Total (%)></row>
<row _id="12"><Age Group>50-54 Yrs.</Age Group><Number>1413852</Number><Male(%) Percent>4.85</Male(%) Percent><Male Number>692494</Male Number><Female(%)>4.86</Female(%)><Female Number>721358</Female Number><Total (%)>4.84</Total (%)></row>
<row _id="13"><Age Group>55-59 Yrs.</Age Group><Number>1075944</Number><Male(%) Percent>3.69</Male(%) Percent><Male Number>537558</Male Number><Female(%)>3.77</Female(%)><Female Number>538386</Female Number><Total (%)>3.61</Total (%)></row>
<row _id="14"><Age Group>60-64 Yrs.</Age Group><Number>955604</Number><Male(%) Percent>3.28</Male(%) Percent><Male Number>465962</Male Number><Female(%)>3.27</Female(%)><Female Number>489642</Female Number><Total (%)>3.28</Total (%)></row>
<row _id="15"><Age Group>65-69 Yrs.</Age Group><Number>771618</Number><Male(%) Percent>2.65</Male(%) Percent><Male Number>379689</Male Number><Female(%)>2.66</Female(%)><Female Number>391929</Female Number><Total (%)>2.63</Total (%)></row>
<row _id="16"><Age Group>70-74 Yrs.</Age Group><Number>609370</Number><Male(%) Percent>2.09</Male(%) Percent><Male Number>292054</Male Number><Female(%)>2.05</Female(%)><Female Number>317316</Female Number><Total (%)>2.13</Total (%)></row>
<row _id="17"><Age Group>75-79 Yrs.</Age Group><Number>353203</Number><Male(%) Percent>1.21</Male(%) Percent><Male Number>170998</Male Number><Female(%)>1.2</Female(%)><Female Number>182205</Female Number><Total (%)>1.22</Total (%)></row>
<row _id="18"><Age Group>80-84 Yrs.</Age Group><Number>161556</Number><Male(%) Percent>0.55</Male(%) Percent><Male Number>78315</Male Number><Female(%)>0.55</Female(%)><Female Number>83241</Female Number><Total (%)>0.56</Total (%)></row>
<row _id="19"><Age Group>85-89 Yrs.</Age Group><Number>78327</Number><Male(%) Percent>0.27</Male(%) Percent><Male Number>36888</Male Number><Female(%)>0.26</Female(%)><Female Number>41439</Female Number><Total (%)>0.28</Total (%)></row>
<row _id="20"><Age Group>90-94 Yrs.</Age Group><Number>30406</Number><Male(%) Percent>0.1</Male(%) Percent><Male Number>13191</Male Number><Female(%)>0.09</Female(%)><Female Number>17215</Female Number><Total (%)>0.12</Total (%)></row>
<row _id="21"><Age Group>95+ Yrs.</Age Group><Number>17234</Number><Male(%) Percent>0.06</Male(%) Percent><Male Number>6810</Male Number><Female(%)>0.05</Female(%)><Female Number>10424</Female Number><Total (%)>0.07</Total (%)></row>
</data>
