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    <yr2001>12</yr2001>
    <yr2002>25</yr2002>
    <yr2003>20</yr2003>
    <yr2004>16</yr2004>
    <yr2005>12</yr2005>
    <yr2006>5</yr2006>
    <yr2007>9</yr2007>
    <yr2008>6</yr2008>
    <yr2009>6</yr2009>
    <yr2010>4</yr2010>
    <yr2011>5</yr2011>
    <yr2012>3</yr2012>
    <yr2013>11</yr2013>
    <yr2014>9</yr2014>
    <regiontotal>143</regiontotal>
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  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>2</region>
    <yr2001>0</yr2001>
    <yr2002>0</yr2002>
    <yr2003>0</yr2003>
    <yr2004>0</yr2004>
    <yr2005>0</yr2005>
    <yr2006>0</yr2006>
    <yr2007>0</yr2007>
    <yr2008>1</yr2008>
    <yr2009>0</yr2009>
    <yr2010>3</yr2010>
    <yr2011>0</yr2011>
    <yr2012>0</yr2012>
    <yr2013>0</yr2013>
    <yr2014>0</yr2014>
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  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>3</region>
    <yr2001>69</yr2001>
    <yr2002>60</yr2002>
    <yr2003>27</yr2003>
    <yr2004>26</yr2004>
    <yr2005>30</yr2005>
    <yr2006>30</yr2006>
    <yr2007>20</yr2007>
    <yr2008>13</yr2008>
    <yr2009>23</yr2009>
    <yr2010>8</yr2010>
    <yr2011>19</yr2011>
    <yr2012>16</yr2012>
    <yr2013>5</yr2013>
    <yr2014>13</yr2014>
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  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>4</region>
    <yr2001>8</yr2001>
    <yr2002>6</yr2002>
    <yr2003>5</yr2003>
    <yr2004>3</yr2004>
    <yr2005>2</yr2005>
    <yr2006>2</yr2006>
    <yr2007>0</yr2007>
    <yr2008>3</yr2008>
    <yr2009>3</yr2009>
    <yr2010>2</yr2010>
    <yr2011>0</yr2011>
    <yr2012>4</yr2012>
    <yr2013>0</yr2013>
    <yr2014>1</yr2014>
    <regiontotal>39</regiontotal>
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  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>5F</region>
    <yr2001>47</yr2001>
    <yr2002>63</yr2002>
    <yr2003>36</yr2003>
    <yr2004>19</yr2004>
    <yr2005>19</yr2005>
    <yr2006>3</yr2006>
    <yr2007>23</yr2007>
    <yr2008>32</yr2008>
    <yr2009>20</yr2009>
    <yr2010>21</yr2010>
    <yr2011>24</yr2011>
    <yr2012>33</yr2012>
    <yr2013>26</yr2013>
    <yr2014>27</yr2014>
    <regiontotal>393</regiontotal>
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  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>5R</region>
    <yr2001>26</yr2001>
    <yr2002>11</yr2002>
    <yr2003>15</yr2003>
    <yr2004>5</yr2004>
    <yr2005>4</yr2005>
    <yr2006>15</yr2006>
    <yr2007>2</yr2007>
    <yr2008>10</yr2008>
    <yr2009>13</yr2009>
    <yr2010>5</yr2010>
    <yr2011>2</yr2011>
    <yr2012>6</yr2012>
    <yr2013>8</yr2013>
    <yr2014>14</yr2014>
    <regiontotal>136</regiontotal>
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  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>5S</region>
    <yr2001>79</yr2001>
    <yr2002>55</yr2002>
    <yr2003>33</yr2003>
    <yr2004>16</yr2004>
    <yr2005>10</yr2005>
    <yr2006>8</yr2006>
    <yr2007>5</yr2007>
    <yr2008>16</yr2008>
    <yr2009>6</yr2009>
    <yr2010>11</yr2010>
    <yr2011>16</yr2011>
    <yr2012>15</yr2012>
    <yr2013>20</yr2013>
    <yr2014>15</yr2014>
    <regiontotal>305</regiontotal>
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  <row>
    <rowcolor>dddddd</rowcolor>
    <region>5 all.</region>
    <yr2001>152</yr2001>
    <yr2002>129</yr2002>
    <yr2003>84</yr2003>
    <yr2004>40</yr2004>
    <yr2005>33</yr2005>
    <yr2006>26</yr2006>
    <yr2007>30</yr2007>
    <yr2008>58</yr2008>
    <yr2009>39</yr2009>
    <yr2010>37</yr2010>
    <yr2011>42</yr2011>
    <yr2012>54</yr2012>
    <yr2013>54</yr2013>
    <yr2014>56</yr2014>
    <regiontotal>834</regiontotal>
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  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>6A</region>
    <yr2001>11</yr2001>
    <yr2002>7</yr2002>
    <yr2003>3</yr2003>
    <yr2004>7</yr2004>
    <yr2005>5</yr2005>
    <yr2006>4</yr2006>
    <yr2007>4</yr2007>
    <yr2008>3</yr2008>
    <yr2009>5</yr2009>
    <yr2010>6</yr2010>
    <yr2011>8</yr2011>
    <yr2012>6</yr2012>
    <yr2013>7</yr2013>
    <yr2014>9</yr2014>
    <regiontotal>85</regiontotal>
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  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>6B</region>
    <yr2001>37</yr2001>
    <yr2002>34</yr2002>
    <yr2003>17</yr2003>
    <yr2004>28</yr2004>
    <yr2005>9</yr2005>
    <yr2006>21</yr2006>
    <yr2007>20</yr2007>
    <yr2008>23</yr2008>
    <yr2009>23</yr2009>
    <yr2010>24</yr2010>
    <yr2011>22</yr2011>
    <yr2012>16</yr2012>
    <yr2013>21</yr2013>
    <yr2014>25</yr2014>
    <regiontotal>320</regiontotal>
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  <row>
    <rowcolor>dddddd</rowcolor>
    <region>6 all.</region>
    <yr2001>48</yr2001>
    <yr2002>41</yr2002>
    <yr2003>20</yr2003>
    <yr2004>35</yr2004>
    <yr2005>14</yr2005>
    <yr2006>25</yr2006>
    <yr2007>24</yr2007>
    <yr2008>26</yr2008>
    <yr2009>28</yr2009>
    <yr2010>30</yr2010>
    <yr2011>30</yr2011>
    <yr2012>22</yr2012>
    <yr2013>28</yr2013>
    <yr2014>34</yr2014>
    <regiontotal>405</regiontotal>
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  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>7</region>
    <yr2001>27</yr2001>
    <yr2002>22</yr2002>
    <yr2003>13</yr2003>
    <yr2004>4</yr2004>
    <yr2005>3</yr2005>
    <yr2006>8</yr2006>
    <yr2007>4</yr2007>
    <yr2008>8</yr2008>
    <yr2009>21</yr2009>
    <yr2010>1</yr2010>
    <yr2011>10</yr2011>
    <yr2012>1</yr2012>
    <yr2013>17</yr2013>
    <yr2014>15</yr2014>
    <regiontotal>154</regiontotal>
  </row>
  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>8</region>
    <yr2001>23</yr2001>
    <yr2002>32</yr2002>
    <yr2003>34</yr2003>
    <yr2004>13</yr2004>
    <yr2005>18</yr2005>
    <yr2006>13</yr2006>
    <yr2007>14</yr2007>
    <yr2008>16</yr2008>
    <yr2009>16</yr2009>
    <yr2010>12</yr2010>
    <yr2011>16</yr2011>
    <yr2012>19</yr2012>
    <yr2013>9</yr2013>
    <yr2014>11</yr2014>
    <regiontotal>246</regiontotal>
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  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>9</region>
    <yr2001>52</yr2001>
    <yr2002>37</yr2002>
    <yr2003>32</yr2003>
    <yr2004>8</yr2004>
    <yr2005>3</yr2005>
    <yr2006>1</yr2006>
    <yr2007>23</yr2007>
    <yr2008>4</yr2008>
    <yr2009>2</yr2009>
    <yr2010>33</yr2010>
    <yr2011>2</yr2011>
    <yr2012>9</yr2012>
    <yr2013>7</yr2013>
    <yr2014>10</yr2014>
    <regiontotal>223</regiontotal>
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  <row>
    <rowcolor>aecaae</rowcolor>
    <region>TOTAL</region>
    <yr2001>391</yr2001>
    <yr2002>352</yr2002>
    <yr2003>235</yr2003>
    <yr2004>145</yr2004>
    <yr2005>115</yr2005>
    <yr2006>110</yr2006>
    <yr2007>124</yr2007>
    <yr2008>135</yr2008>
    <yr2009>138</yr2009>
    <yr2010>130</yr2010>
    <yr2011>124</yr2011>
    <yr2012>128</yr2012>
    <yr2013>131</yr2013>
    <yr2014>149</yr2014>
    <regiontotal>2,407</regiontotal>
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