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    <yr2001>14</yr2001>
    <yr2002>15</yr2002>
    <yr2003>9</yr2003>
    <yr2004>6</yr2004>
    <yr2005>8</yr2005>
    <yr2006>3</yr2006>
    <yr2007>3</yr2007>
    <yr2008>2</yr2008>
    <yr2009>5</yr2009>
    <yr2010>0</yr2010>
    <yr2011>8</yr2011>
    <yr2012>3</yr2012>
    <yr2013>7</yr2013>
    <yr2014>6</yr2014>
    <regiontotal>89</regiontotal>
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  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>2</region>
    <yr2001>2</yr2001>
    <yr2002>1</yr2002>
    <yr2003>0</yr2003>
    <yr2004>1</yr2004>
    <yr2005>0</yr2005>
    <yr2006>2</yr2006>
    <yr2007>1</yr2007>
    <yr2008>1</yr2008>
    <yr2009>0</yr2009>
    <yr2010>2</yr2010>
    <yr2011>1</yr2011>
    <yr2012>2</yr2012>
    <yr2013>0</yr2013>
    <yr2014>0</yr2014>
    <regiontotal>13</regiontotal>
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  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>3</region>
    <yr2001>78</yr2001>
    <yr2002>71</yr2002>
    <yr2003>31</yr2003>
    <yr2004>13</yr2004>
    <yr2005>15</yr2005>
    <yr2006>23</yr2006>
    <yr2007>24</yr2007>
    <yr2008>17</yr2008>
    <yr2009>31</yr2009>
    <yr2010>29</yr2010>
    <yr2011>12</yr2011>
    <yr2012>6</yr2012>
    <yr2013>3</yr2013>
    <yr2014>8</yr2014>
    <regiontotal>361</regiontotal>
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  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>4</region>
    <yr2001>36</yr2001>
    <yr2002>33</yr2002>
    <yr2003>42</yr2003>
    <yr2004>36</yr2004>
    <yr2005>14</yr2005>
    <yr2006>4</yr2006>
    <yr2007>2</yr2007>
    <yr2008>3</yr2008>
    <yr2009>12</yr2009>
    <yr2010>8</yr2010>
    <yr2011>15</yr2011>
    <yr2012>7</yr2012>
    <yr2013>10</yr2013>
    <yr2014>6</yr2014>
    <regiontotal>228</regiontotal>
  </row>
  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>5F</region>
    <yr2001>12</yr2001>
    <yr2002>10</yr2002>
    <yr2003>3</yr2003>
    <yr2004>3</yr2004>
    <yr2005>2</yr2005>
    <yr2006>0</yr2006>
    <yr2007>5</yr2007>
    <yr2008>3</yr2008>
    <yr2009>3</yr2009>
    <yr2010>4</yr2010>
    <yr2011>1</yr2011>
    <yr2012>2</yr2012>
    <yr2013>2</yr2013>
    <yr2014>7</yr2014>
    <regiontotal>57</regiontotal>
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  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>5R</region>
    <yr2001>14</yr2001>
    <yr2002>5</yr2002>
    <yr2003>4</yr2003>
    <yr2004>1</yr2004>
    <yr2005>1</yr2005>
    <yr2006>2</yr2006>
    <yr2007>3</yr2007>
    <yr2008>3</yr2008>
    <yr2009>7</yr2009>
    <yr2010>1</yr2010>
    <yr2011>9</yr2011>
    <yr2012>12</yr2012>
    <yr2013>7</yr2013>
    <yr2014>3</yr2014>
    <regiontotal>72</regiontotal>
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  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>5S</region>
    <yr2001>7</yr2001>
    <yr2002>5</yr2002>
    <yr2003>2</yr2003>
    <yr2004>2</yr2004>
    <yr2005>3</yr2005>
    <yr2006>2</yr2006>
    <yr2007>5</yr2007>
    <yr2008>0</yr2008>
    <yr2009>0</yr2009>
    <yr2010>2</yr2010>
    <yr2011>4</yr2011>
    <yr2012>9</yr2012>
    <yr2013>11</yr2013>
    <yr2014>7</yr2014>
    <regiontotal>59</regiontotal>
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  <row>
    <rowcolor>dddddd</rowcolor>
    <region>5 all.</region>
    <yr2001>33</yr2001>
    <yr2002>20</yr2002>
    <yr2003>9</yr2003>
    <yr2004>6</yr2004>
    <yr2005>6</yr2005>
    <yr2006>4</yr2006>
    <yr2007>13</yr2007>
    <yr2008>6</yr2008>
    <yr2009>10</yr2009>
    <yr2010>7</yr2010>
    <yr2011>14</yr2011>
    <yr2012>23</yr2012>
    <yr2013>20</yr2013>
    <yr2014>17</yr2014>
    <regiontotal>188</regiontotal>
  </row>
  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>6A</region>
    <yr2001>40</yr2001>
    <yr2002>40</yr2002>
    <yr2003>11</yr2003>
    <yr2004>23</yr2004>
    <yr2005>21</yr2005>
    <yr2006>2</yr2006>
    <yr2007>6</yr2007>
    <yr2008>0</yr2008>
    <yr2009>7</yr2009>
    <yr2010>6</yr2010>
    <yr2011>2</yr2011>
    <yr2012>3</yr2012>
    <yr2013>7</yr2013>
    <yr2014>13</yr2014>
    <regiontotal>181</regiontotal>
  </row>
  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>6B</region>
    <yr2001>10</yr2001>
    <yr2002>9</yr2002>
    <yr2003>6</yr2003>
    <yr2004>7</yr2004>
    <yr2005>2</yr2005>
    <yr2006>3</yr2006>
    <yr2007>5</yr2007>
    <yr2008>4</yr2008>
    <yr2009>4</yr2009>
    <yr2010>5</yr2010>
    <yr2011>6</yr2011>
    <yr2012>8</yr2012>
    <yr2013>2</yr2013>
    <yr2014>5</yr2014>
    <regiontotal>76</regiontotal>
  </row>
  <row>
    <rowcolor>dddddd</rowcolor>
    <region>6 all.</region>
    <yr2001>50</yr2001>
    <yr2002>49</yr2002>
    <yr2003>17</yr2003>
    <yr2004>30</yr2004>
    <yr2005>23</yr2005>
    <yr2006>5</yr2006>
    <yr2007>11</yr2007>
    <yr2008>4</yr2008>
    <yr2009>11</yr2009>
    <yr2010>11</yr2010>
    <yr2011>8</yr2011>
    <yr2012>11</yr2012>
    <yr2013>9</yr2013>
    <yr2014>18</yr2014>
    <regiontotal>257</regiontotal>
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  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>7</region>
    <yr2001>45</yr2001>
    <yr2002>31</yr2002>
    <yr2003>20</yr2003>
    <yr2004>5</yr2004>
    <yr2005>1</yr2005>
    <yr2006>3</yr2006>
    <yr2007>2</yr2007>
    <yr2008>5</yr2008>
    <yr2009>15</yr2009>
    <yr2010>4</yr2010>
    <yr2011>8</yr2011>
    <yr2012>3</yr2012>
    <yr2013>7</yr2013>
    <yr2014>10</yr2014>
    <regiontotal>159</regiontotal>
  </row>
  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>8</region>
    <yr2001>18</yr2001>
    <yr2002>17</yr2002>
    <yr2003>12</yr2003>
    <yr2004>5</yr2004>
    <yr2005>2</yr2005>
    <yr2006>0</yr2006>
    <yr2007>0</yr2007>
    <yr2008>1</yr2008>
    <yr2009>2</yr2009>
    <yr2010>2</yr2010>
    <yr2011>4</yr2011>
    <yr2012>2</yr2012>
    <yr2013>2</yr2013>
    <yr2014>2</yr2014>
    <regiontotal>69</regiontotal>
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  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>9</region>
    <yr2001>1</yr2001>
    <yr2002>0</yr2002>
    <yr2003>3</yr2003>
    <yr2004>1</yr2004>
    <yr2005>3</yr2005>
    <yr2006>0</yr2006>
    <yr2007>4</yr2007>
    <yr2008>0</yr2008>
    <yr2009>2</yr2009>
    <yr2010>3</yr2010>
    <yr2011>2</yr2011>
    <yr2012>3</yr2012>
    <yr2013>1</yr2013>
    <yr2014>3</yr2014>
    <regiontotal>26</regiontotal>
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  <row>
    <rowcolor>aecaae</rowcolor>
    <region>TOTAL</region>
    <yr2001>277</yr2001>
    <yr2002>237</yr2002>
    <yr2003>143</yr2003>
    <yr2004>103</yr2004>
    <yr2005>72</yr2005>
    <yr2006>44</yr2006>
    <yr2007>60</yr2007>
    <yr2008>39</yr2008>
    <yr2009>88</yr2009>
    <yr2010>66</yr2010>
    <yr2011>72</yr2011>
    <yr2012>60</yr2012>
    <yr2013>59</yr2013>
    <yr2014>70</yr2014>
    <regiontotal>1,390</regiontotal>
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</dataset>
