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    <rowcolor>eee8aa</rowcolor>
    <region>1</region>
    <yr2001>35</yr2001>
    <yr2002>39</yr2002>
    <yr2003>38</yr2003>
    <yr2004>40</yr2004>
    <yr2005>37</yr2005>
    <yr2006>19</yr2006>
    <yr2007>21</yr2007>
    <yr2008>22</yr2008>
    <yr2009>25</yr2009>
    <yr2010>19</yr2010>
    <yr2011>16</yr2011>
    <yr2012>18</yr2012>
    <yr2013>26</yr2013>
    <yr2014>25</yr2014>
    <regiontotal>380</regiontotal>
  </row>
  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>2</region>
    <yr2001>12</yr2001>
    <yr2002>6</yr2002>
    <yr2003>0</yr2003>
    <yr2004>0</yr2004>
    <yr2005>0</yr2005>
    <yr2006>0</yr2006>
    <yr2007>2</yr2007>
    <yr2008>0</yr2008>
    <yr2009>2</yr2009>
    <yr2010>5</yr2010>
    <yr2011>6</yr2011>
    <yr2012>5</yr2012>
    <yr2013>1</yr2013>
    <yr2014>7</yr2014>
    <regiontotal>46</regiontotal>
  </row>
  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>3</region>
    <yr2001>141</yr2001>
    <yr2002>135</yr2002>
    <yr2003>62</yr2003>
    <yr2004>57</yr2004>
    <yr2005>62</yr2005>
    <yr2006>62</yr2006>
    <yr2007>49</yr2007>
    <yr2008>32</yr2008>
    <yr2009>57</yr2009>
    <yr2010>19</yr2010>
    <yr2011>23</yr2011>
    <yr2012>9</yr2012>
    <yr2013>4</yr2013>
    <yr2014>8</yr2014>
    <regiontotal>720</regiontotal>
  </row>
  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>4</region>
    <yr2001>36</yr2001>
    <yr2002>51</yr2002>
    <yr2003>82</yr2003>
    <yr2004>36</yr2004>
    <yr2005>32</yr2005>
    <yr2006>26</yr2006>
    <yr2007>14</yr2007>
    <yr2008>5</yr2008>
    <yr2009>11</yr2009>
    <yr2010>13</yr2010>
    <yr2011>27</yr2011>
    <yr2012>22</yr2012>
    <yr2013>20</yr2013>
    <yr2014>25</yr2014>
    <regiontotal>400</regiontotal>
  </row>
  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>5F</region>
    <yr2001>44</yr2001>
    <yr2002>52</yr2002>
    <yr2003>24</yr2003>
    <yr2004>17</yr2004>
    <yr2005>10</yr2005>
    <yr2006>6</yr2006>
    <yr2007>10</yr2007>
    <yr2008>19</yr2008>
    <yr2009>19</yr2009>
    <yr2010>19</yr2010>
    <yr2011>10</yr2011>
    <yr2012>18</yr2012>
    <yr2013>18</yr2013>
    <yr2014>11</yr2014>
    <regiontotal>277</regiontotal>
  </row>
  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>5R</region>
    <yr2001>32</yr2001>
    <yr2002>29</yr2002>
    <yr2003>20</yr2003>
    <yr2004>12</yr2004>
    <yr2005>10</yr2005>
    <yr2006>36</yr2006>
    <yr2007>34</yr2007>
    <yr2008>20</yr2008>
    <yr2009>37</yr2009>
    <yr2010>18</yr2010>
    <yr2011>8</yr2011>
    <yr2012>13</yr2012>
    <yr2013>25</yr2013>
    <yr2014>34</yr2014>
    <regiontotal>328</regiontotal>
  </row>
  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>5S</region>
    <yr2001>132</yr2001>
    <yr2002>116</yr2002>
    <yr2003>33</yr2003>
    <yr2004>43</yr2004>
    <yr2005>16</yr2005>
    <yr2006>27</yr2006>
    <yr2007>5</yr2007>
    <yr2008>7</yr2008>
    <yr2009>7</yr2009>
    <yr2010>23</yr2010>
    <yr2011>41</yr2011>
    <yr2012>24</yr2012>
    <yr2013>52</yr2013>
    <yr2014>26</yr2014>
    <regiontotal>552</regiontotal>
  </row>
  <row>
    <rowcolor>dddddd</rowcolor>
    <region>5 all.</region>
    <yr2001>208</yr2001>
    <yr2002>197</yr2002>
    <yr2003>77</yr2003>
    <yr2004>72</yr2004>
    <yr2005>36</yr2005>
    <yr2006>69</yr2006>
    <yr2007>49</yr2007>
    <yr2008>46</yr2008>
    <yr2009>63</yr2009>
    <yr2010>60</yr2010>
    <yr2011>59</yr2011>
    <yr2012>55</yr2012>
    <yr2013>95</yr2013>
    <yr2014>71</yr2014>
    <regiontotal>1,157</regiontotal>
  </row>
  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>6A</region>
    <yr2001>15</yr2001>
    <yr2002>16</yr2002>
    <yr2003>2</yr2003>
    <yr2004>3</yr2004>
    <yr2005>2</yr2005>
    <yr2006>5</yr2006>
    <yr2007>1</yr2007>
    <yr2008>5</yr2008>
    <yr2009>4</yr2009>
    <yr2010>6</yr2010>
    <yr2011>6</yr2011>
    <yr2012>4</yr2012>
    <yr2013>6</yr2013>
    <yr2014>8</yr2014>
    <regiontotal>83</regiontotal>
  </row>
  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>6B</region>
    <yr2001>21</yr2001>
    <yr2002>19</yr2002>
    <yr2003>11</yr2003>
    <yr2004>11</yr2004>
    <yr2005>3</yr2005>
    <yr2006>2</yr2006>
    <yr2007>8</yr2007>
    <yr2008>5</yr2008>
    <yr2009>6</yr2009>
    <yr2010>6</yr2010>
    <yr2011>10</yr2011>
    <yr2012>7</yr2012>
    <yr2013>5</yr2013>
    <yr2014>11</yr2014>
    <regiontotal>125</regiontotal>
  </row>
  <row>
    <rowcolor>dddddd</rowcolor>
    <region>6 all.</region>
    <yr2001>36</yr2001>
    <yr2002>35</yr2002>
    <yr2003>13</yr2003>
    <yr2004>14</yr2004>
    <yr2005>5</yr2005>
    <yr2006>7</yr2006>
    <yr2007>9</yr2007>
    <yr2008>10</yr2008>
    <yr2009>10</yr2009>
    <yr2010>12</yr2010>
    <yr2011>16</yr2011>
    <yr2012>11</yr2012>
    <yr2013>11</yr2013>
    <yr2014>19</yr2014>
    <regiontotal>208</regiontotal>
  </row>
  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>7</region>
    <yr2001>244</yr2001>
    <yr2002>276</yr2002>
    <yr2003>273</yr2003>
    <yr2004>250</yr2004>
    <yr2005>239</yr2005>
    <yr2006>230</yr2006>
    <yr2007>212</yr2007>
    <yr2008>11</yr2008>
    <yr2009>16</yr2009>
    <yr2010>6</yr2010>
    <yr2011>12</yr2011>
    <yr2012>20</yr2012>
    <yr2013>61</yr2013>
    <yr2014>66</yr2014>
    <regiontotal>1,916</regiontotal>
  </row>
  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>8</region>
    <yr2001>18</yr2001>
    <yr2002>27</yr2002>
    <yr2003>23</yr2003>
    <yr2004>12</yr2004>
    <yr2005>6</yr2005>
    <yr2006>10</yr2006>
    <yr2007>7</yr2007>
    <yr2008>12</yr2008>
    <yr2009>12</yr2009>
    <yr2010>14</yr2010>
    <yr2011>4</yr2011>
    <yr2012>12</yr2012>
    <yr2013>6</yr2013>
    <yr2014>5</yr2014>
    <regiontotal>168</regiontotal>
  </row>
  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>9</region>
    <yr2001>21</yr2001>
    <yr2002>9</yr2002>
    <yr2003>18</yr2003>
    <yr2004>6</yr2004>
    <yr2005>1</yr2005>
    <yr2006>6</yr2006>
    <yr2007>14</yr2007>
    <yr2008>0</yr2008>
    <yr2009>11</yr2009>
    <yr2010>23</yr2010>
    <yr2011>8</yr2011>
    <yr2012>3</yr2012>
    <yr2013>5</yr2013>
    <yr2014>5</yr2014>
    <regiontotal>130</regiontotal>
  </row>
  <row>
    <rowcolor>aecaae</rowcolor>
    <region>TOTAL</region>
    <yr2001>751</yr2001>
    <yr2002>775</yr2002>
    <yr2003>586</yr2003>
    <yr2004>487</yr2004>
    <yr2005>418</yr2005>
    <yr2006>429</yr2006>
    <yr2007>377</yr2007>
    <yr2008>138</yr2008>
    <yr2009>207</yr2009>
    <yr2010>171</yr2010>
    <yr2011>171</yr2011>
    <yr2012>155</yr2012>
    <yr2013>229</yr2013>
    <yr2014>231</yr2014>
    <regiontotal>5,125</regiontotal>
  </row>
</dataset>
