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    <yr2002>1</yr2002>
    <yr2003>0</yr2003>
    <yr2004>4</yr2004>
    <yr2005>2</yr2005>
    <yr2006>4</yr2006>
    <yr2007>3</yr2007>
    <yr2008>2</yr2008>
    <yr2009>2</yr2009>
    <yr2010>1</yr2010>
    <yr2011>5</yr2011>
    <yr2012>2</yr2012>
    <yr2013>2</yr2013>
    <yr2014>111</yr2014>
    <regiontotal>146</regiontotal>
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  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>2</region>
    <yr2001>18</yr2001>
    <yr2002>17</yr2002>
    <yr2003>3</yr2003>
    <yr2004>9</yr2004>
    <yr2005>4</yr2005>
    <yr2006>7</yr2006>
    <yr2007>21</yr2007>
    <yr2008>10</yr2008>
    <yr2009>7</yr2009>
    <yr2010>9</yr2010>
    <yr2011>4</yr2011>
    <yr2012>18</yr2012>
    <yr2013>9</yr2013>
    <yr2014>222</yr2014>
    <regiontotal>358</regiontotal>
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    <region>3</region>
    <yr2001>6</yr2001>
    <yr2002>4</yr2002>
    <yr2003>2</yr2003>
    <yr2004>2</yr2004>
    <yr2005>10</yr2005>
    <yr2006>1</yr2006>
    <yr2007>3</yr2007>
    <yr2008>4</yr2008>
    <yr2009>3</yr2009>
    <yr2010>5</yr2010>
    <yr2011>3</yr2011>
    <yr2012>1</yr2012>
    <yr2013>2</yr2013>
    <yr2014>333</yr2014>
    <regiontotal>379</regiontotal>
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    <rowcolor>eee8aa</rowcolor>
    <region>4</region>
    <yr2001>7</yr2001>
    <yr2002>2</yr2002>
    <yr2003>11</yr2003>
    <yr2004>11</yr2004>
    <yr2005>7</yr2005>
    <yr2006>3</yr2006>
    <yr2007>9</yr2007>
    <yr2008>8</yr2008>
    <yr2009>7</yr2009>
    <yr2010>3</yr2010>
    <yr2011>5</yr2011>
    <yr2012>6</yr2012>
    <yr2013>3</yr2013>
    <yr2014>0</yr2014>
    <regiontotal>82</regiontotal>
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  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>5F</region>
    <yr2001>1</yr2001>
    <yr2002>2</yr2002>
    <yr2003>0</yr2003>
    <yr2004>0</yr2004>
    <yr2005>0</yr2005>
    <yr2006>0</yr2006>
    <yr2007>3</yr2007>
    <yr2008>4</yr2008>
    <yr2009>0</yr2009>
    <yr2010>0</yr2010>
    <yr2011>0</yr2011>
    <yr2012>1</yr2012>
    <yr2013>1</yr2013>
    <yr2014>0</yr2014>
    <regiontotal>12</regiontotal>
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  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>5R</region>
    <yr2001>1</yr2001>
    <yr2002>3</yr2002>
    <yr2003>1</yr2003>
    <yr2004>3</yr2004>
    <yr2005>3</yr2005>
    <yr2006>2</yr2006>
    <yr2007>3</yr2007>
    <yr2008>2</yr2008>
    <yr2009>0</yr2009>
    <yr2010>3</yr2010>
    <yr2011>3</yr2011>
    <yr2012>1</yr2012>
    <yr2013>0</yr2013>
    <yr2014>0</yr2014>
    <regiontotal>25</regiontotal>
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  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>5S</region>
    <yr2001>11</yr2001>
    <yr2002>7</yr2002>
    <yr2003>9</yr2003>
    <yr2004>3</yr2004>
    <yr2005>4</yr2005>
    <yr2006>1</yr2006>
    <yr2007>5</yr2007>
    <yr2008>13</yr2008>
    <yr2009>9</yr2009>
    <yr2010>4</yr2010>
    <yr2011>6</yr2011>
    <yr2012>2</yr2012>
    <yr2013>3</yr2013>
    <yr2014>0</yr2014>
    <regiontotal>77</regiontotal>
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  <row>
    <rowcolor>dddddd</rowcolor>
    <region>5 all.</region>
    <yr2001>13</yr2001>
    <yr2002>12</yr2002>
    <yr2003>10</yr2003>
    <yr2004>6</yr2004>
    <yr2005>7</yr2005>
    <yr2006>3</yr2006>
    <yr2007>11</yr2007>
    <yr2008>19</yr2008>
    <yr2009>9</yr2009>
    <yr2010>7</yr2010>
    <yr2011>9</yr2011>
    <yr2012>4</yr2012>
    <yr2013>4</yr2013>
    <yr2014>0</yr2014>
    <regiontotal>114</regiontotal>
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  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>6A</region>
    <yr2001>0</yr2001>
    <yr2002>1</yr2002>
    <yr2003>0</yr2003>
    <yr2004>0</yr2004>
    <yr2005>0</yr2005>
    <yr2006>0</yr2006>
    <yr2007>0</yr2007>
    <yr2008>0</yr2008>
    <yr2009>1</yr2009>
    <yr2010>0</yr2010>
    <yr2011>0</yr2011>
    <yr2012>0</yr2012>
    <yr2013>0</yr2013>
    <yr2014>0</yr2014>
    <regiontotal>2</regiontotal>
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  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>6B</region>
    <yr2001>0</yr2001>
    <yr2002>1</yr2002>
    <yr2003>0</yr2003>
    <yr2004>0</yr2004>
    <yr2005>0</yr2005>
    <yr2006>1</yr2006>
    <yr2007>0</yr2007>
    <yr2008>1</yr2008>
    <yr2009>0</yr2009>
    <yr2010>0</yr2010>
    <yr2011>0</yr2011>
    <yr2012>0</yr2012>
    <yr2013>0</yr2013>
    <yr2014>0</yr2014>
    <regiontotal>3</regiontotal>
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  <row>
    <rowcolor>dddddd</rowcolor>
    <region>6 all.</region>
    <yr2001>0</yr2001>
    <yr2002>2</yr2002>
    <yr2003>0</yr2003>
    <yr2004>0</yr2004>
    <yr2005>0</yr2005>
    <yr2006>1</yr2006>
    <yr2007>0</yr2007>
    <yr2008>1</yr2008>
    <yr2009>1</yr2009>
    <yr2010>0</yr2010>
    <yr2011>0</yr2011>
    <yr2012>0</yr2012>
    <yr2013>0</yr2013>
    <yr2014>0</yr2014>
    <regiontotal>5</regiontotal>
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  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>7</region>
    <yr2001>2</yr2001>
    <yr2002>0</yr2002>
    <yr2003>1</yr2003>
    <yr2004>3</yr2004>
    <yr2005>5</yr2005>
    <yr2006>0</yr2006>
    <yr2007>1</yr2007>
    <yr2008>0</yr2008>
    <yr2009>2</yr2009>
    <yr2010>4</yr2010>
    <yr2011>1</yr2011>
    <yr2012>1</yr2012>
    <yr2013>0</yr2013>
    <yr2014>0</yr2014>
    <regiontotal>20</regiontotal>
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  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>8</region>
    <yr2001>6</yr2001>
    <yr2002>4</yr2002>
    <yr2003>1</yr2003>
    <yr2004>1</yr2004>
    <yr2005>5</yr2005>
    <yr2006>6</yr2006>
    <yr2007>7</yr2007>
    <yr2008>1</yr2008>
    <yr2009>3</yr2009>
    <yr2010>1</yr2010>
    <yr2011>0</yr2011>
    <yr2012>2</yr2012>
    <yr2013>4</yr2013>
    <yr2014>0</yr2014>
    <regiontotal>41</regiontotal>
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  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>9</region>
    <yr2001>2</yr2001>
    <yr2002>2</yr2002>
    <yr2003>7</yr2003>
    <yr2004>3</yr2004>
    <yr2005>10</yr2005>
    <yr2006>4</yr2006>
    <yr2007>6</yr2007>
    <yr2008>0</yr2008>
    <yr2009>5</yr2009>
    <yr2010>1</yr2010>
    <yr2011>5</yr2011>
    <yr2012>2</yr2012>
    <yr2013>3</yr2013>
    <yr2014>0</yr2014>
    <regiontotal>50</regiontotal>
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    <rowcolor>aecaae</rowcolor>
    <region>TOTAL</region>
    <yr2001>61</yr2001>
    <yr2002>44</yr2002>
    <yr2003>35</yr2003>
    <yr2004>39</yr2004>
    <yr2005>50</yr2005>
    <yr2006>29</yr2006>
    <yr2007>61</yr2007>
    <yr2008>45</yr2008>
    <yr2009>39</yr2009>
    <yr2010>31</yr2010>
    <yr2011>32</yr2011>
    <yr2012>36</yr2012>
    <yr2013>27</yr2013>
    <yr2014>666</yr2014>
    <regiontotal>1,195</regiontotal>
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