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    <rowcolor>eee8aa</rowcolor>
    <region>1</region>
    <yr2001>5</yr2001>
    <yr2002>4</yr2002>
    <yr2003>29</yr2003>
    <yr2004>61</yr2004>
    <yr2005>32</yr2005>
    <yr2006>66</yr2006>
    <yr2007>78</yr2007>
    <yr2008>120</yr2008>
    <yr2009>108</yr2009>
    <yr2010>88</yr2010>
    <yr2011>134</yr2011>
    <yr2012>96</yr2012>
    <yr2013>78</yr2013>
    <yr2014>70</yr2014>
    <regiontotal>969</regiontotal>
  </row>
  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>2</region>
    <yr2001>115</yr2001>
    <yr2002>59</yr2002>
    <yr2003>322</yr2003>
    <yr2004>48</yr2004>
    <yr2005>1</yr2005>
    <yr2006>8</yr2006>
    <yr2007>17</yr2007>
    <yr2008>7</yr2008>
    <yr2009>140</yr2009>
    <yr2010>54</yr2010>
    <yr2011>73</yr2011>
    <yr2012>80</yr2012>
    <yr2013>68</yr2013>
    <yr2014>84</yr2014>
    <regiontotal>1,076</regiontotal>
  </row>
  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>3</region>
    <yr2001>0</yr2001>
    <yr2002>0</yr2002>
    <yr2003>0</yr2003>
    <yr2004>0</yr2004>
    <yr2005>1</yr2005>
    <yr2006>16</yr2006>
    <yr2007>29</yr2007>
    <yr2008>23</yr2008>
    <yr2009>9</yr2009>
    <yr2010>14</yr2010>
    <yr2011>43</yr2011>
    <yr2012>15</yr2012>
    <yr2013>36</yr2013>
    <yr2014>25</yr2014>
    <regiontotal>211</regiontotal>
  </row>
  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>4</region>
    <yr2001>617</yr2001>
    <yr2002>650</yr2002>
    <yr2003>695</yr2003>
    <yr2004>468</yr2004>
    <yr2005>549</yr2005>
    <yr2006>534</yr2006>
    <yr2007>326</yr2007>
    <yr2008>246</yr2008>
    <yr2009>485</yr2009>
    <yr2010>535</yr2010>
    <yr2011>630</yr2011>
    <yr2012>413</yr2012>
    <yr2013>465</yr2013>
    <yr2014>468</yr2014>
    <regiontotal>7,081</regiontotal>
  </row>
  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>5F</region>
    <yr2001>0</yr2001>
    <yr2002>0</yr2002>
    <yr2003>199</yr2003>
    <yr2004>63</yr2004>
    <yr2005>101</yr2005>
    <yr2006>139</yr2006>
    <yr2007>20</yr2007>
    <yr2008>18</yr2008>
    <yr2009>58</yr2009>
    <yr2010>18</yr2010>
    <yr2011>35</yr2011>
    <yr2012>47</yr2012>
    <yr2013>58</yr2013>
    <yr2014>59</yr2014>
    <regiontotal>815</regiontotal>
  </row>
  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>5R</region>
    <yr2001>132</yr2001>
    <yr2002>106</yr2002>
    <yr2003>0</yr2003>
    <yr2004>94</yr2004>
    <yr2005>176</yr2005>
    <yr2006>52</yr2006>
    <yr2007>61</yr2007>
    <yr2008>108</yr2008>
    <yr2009>123</yr2009>
    <yr2010>66</yr2010>
    <yr2011>90</yr2011>
    <yr2012>82</yr2012>
    <yr2013>98</yr2013>
    <yr2014>198</yr2014>
    <regiontotal>1,386</regiontotal>
  </row>
  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>5S</region>
    <yr2001>6</yr2001>
    <yr2002>21</yr2002>
    <yr2003>141</yr2003>
    <yr2004>250</yr2004>
    <yr2005>267</yr2005>
    <yr2006>279</yr2006>
    <yr2007>170</yr2007>
    <yr2008>190</yr2008>
    <yr2009>586</yr2009>
    <yr2010>456</yr2010>
    <yr2011>701</yr2011>
    <yr2012>370</yr2012>
    <yr2013>313</yr2013>
    <yr2014>353</yr2014>
    <regiontotal>4,103</regiontotal>
  </row>
  <row>
    <rowcolor>dddddd</rowcolor>
    <region>5 all.</region>
    <yr2001>138</yr2001>
    <yr2002>127</yr2002>
    <yr2003>340</yr2003>
    <yr2004>407</yr2004>
    <yr2005>544</yr2005>
    <yr2006>470</yr2006>
    <yr2007>251</yr2007>
    <yr2008>316</yr2008>
    <yr2009>767</yr2009>
    <yr2010>540</yr2010>
    <yr2011>826</yr2011>
    <yr2012>499</yr2012>
    <yr2013>353</yr2013>
    <yr2014>0</yr2014>
    <regiontotal>5,578</regiontotal>
  </row>
  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>6A</region>
    <yr2001>18</yr2001>
    <yr2002>18</yr2002>
    <yr2003>24</yr2003>
    <yr2004>19</yr2004>
    <yr2005>27</yr2005>
    <yr2006>41</yr2006>
    <yr2007>19</yr2007>
    <yr2008>11</yr2008>
    <yr2009>13</yr2009>
    <yr2010>15</yr2010>
    <yr2011>6</yr2011>
    <yr2012>8</yr2012>
    <yr2013>3</yr2013>
    <yr2014>10</yr2014>
    <regiontotal>232</regiontotal>
  </row>
  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>6B</region>
    <yr2001>3</yr2001>
    <yr2002>27</yr2002>
    <yr2003>16</yr2003>
    <yr2004>10</yr2004>
    <yr2005>2</yr2005>
    <yr2006>4</yr2006>
    <yr2007>30</yr2007>
    <yr2008>38</yr2008>
    <yr2009>32</yr2009>
    <yr2010>34</yr2010>
    <yr2011>52</yr2011>
    <yr2012>37</yr2012>
    <yr2013>24</yr2013>
    <yr2014>26</yr2014>
    <regiontotal>335</regiontotal>
  </row>
  <row>
    <rowcolor>dddddd</rowcolor>
    <region>6 all.</region>
    <yr2001>21</yr2001>
    <yr2002>45</yr2002>
    <yr2003>40</yr2003>
    <yr2004>29</yr2004>
    <yr2005>29</yr2005>
    <yr2006>45</yr2006>
    <yr2007>49</yr2007>
    <yr2008>49</yr2008>
    <yr2009>45</yr2009>
    <yr2010>49</yr2010>
    <yr2011>58</yr2011>
    <yr2012>45</yr2012>
    <yr2013>27</yr2013>
    <yr2014>36</yr2014>
    <regiontotal>567</regiontotal>
  </row>
  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>7</region>
    <yr2001>0</yr2001>
    <yr2002>1</yr2002>
    <yr2003>0</yr2003>
    <yr2004>0</yr2004>
    <yr2005>7</yr2005>
    <yr2006>63</yr2006>
    <yr2007>137</yr2007>
    <yr2008>182</yr2008>
    <yr2009>131</yr2009>
    <yr2010>79</yr2010>
    <yr2011>73</yr2011>
    <yr2012>28</yr2012>
    <yr2013>27</yr2013>
    <yr2014>39</yr2014>
    <regiontotal>767</regiontotal>
  </row>
  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>8</region>
    <yr2001>271</yr2001>
    <yr2002>471</yr2002>
    <yr2003>272</yr2003>
    <yr2004>244</yr2004>
    <yr2005>474</yr2005>
    <yr2006>777</yr2006>
    <yr2007>777</yr2007>
    <yr2008>774</yr2008>
    <yr2009>1,124</yr2009>
    <yr2010>1,756</yr2010>
    <yr2011>859</yr2011>
    <yr2012>584</yr2012>
    <yr2013>573</yr2013>
    <yr2014>384</yr2014>
    <regiontotal>9,340</regiontotal>
  </row>
  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>9</region>
    <yr2001>36</yr2001>
    <yr2002>47</yr2002>
    <yr2003>147</yr2003>
    <yr2004>55</yr2004>
    <yr2005>74</yr2005>
    <yr2006>18</yr2006>
    <yr2007>13</yr2007>
    <yr2008>29</yr2008>
    <yr2009>40</yr2009>
    <yr2010>17</yr2010>
    <yr2011>74</yr2011>
    <yr2012>23</yr2012>
    <yr2013>68</yr2013>
    <yr2014>149</yr2014>
    <regiontotal>790</regiontotal>
  </row>
  <row>
    <rowcolor>aecaae</rowcolor>
    <region>TOTAL</region>
    <yr2001>1,203</yr2001>
    <yr2002>1,404</yr2002>
    <yr2003>1,845</yr2003>
    <yr2004>1,312</yr2004>
    <yr2005>1,711</yr2005>
    <yr2006>1,997</yr2006>
    <yr2007>1,677</yr2007>
    <yr2008>1,746</yr2008>
    <yr2009>2,849</yr2009>
    <yr2010>3,132</yr2010>
    <yr2011>2,770</yr2011>
    <yr2012>1,783</yr2012>
    <yr2013>1,811</yr2013>
    <yr2014>1,865</yr2014>
    <regiontotal>27,105</regiontotal>
  </row>
</dataset>
