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  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>1</region>
    <yr2001>61</yr2001>
    <yr2002>58</yr2002>
    <yr2003>53</yr2003>
    <yr2004>50</yr2004>
    <yr2005>34</yr2005>
    <yr2006>35</yr2006>
    <yr2007>11</yr2007>
    <yr2008>54</yr2008>
    <yr2009>45</yr2009>
    <yr2010>71</yr2010>
    <yr2011>54</yr2011>
    <yr2012>47</yr2012>
    <yr2013>41</yr2013>
    <yr2014>72</yr2014>
    <regiontotal>686</regiontotal>
  </row>
  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>2</region>
    <yr2001>69</yr2001>
    <yr2002>84</yr2002>
    <yr2003>41</yr2003>
    <yr2004>77</yr2004>
    <yr2005>1</yr2005>
    <yr2006>20</yr2006>
    <yr2007>32</yr2007>
    <yr2008>45</yr2008>
    <yr2009>29</yr2009>
    <yr2010>72</yr2010>
    <yr2011>71</yr2011>
    <yr2012>58</yr2012>
    <yr2013>49</yr2013>
    <yr2014>51</yr2014>
    <regiontotal>699</regiontotal>
  </row>
  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>3</region>
    <yr2001>0</yr2001>
    <yr2002>1</yr2002>
    <yr2003>0</yr2003>
    <yr2004>2</yr2004>
    <yr2005>0</yr2005>
    <yr2006>1</yr2006>
    <yr2007>6</yr2007>
    <yr2008>4</yr2008>
    <yr2009>2</yr2009>
    <yr2010>24</yr2010>
    <yr2011>33</yr2011>
    <yr2012>2</yr2012>
    <yr2013>24</yr2013>
    <yr2014>19</yr2014>
    <regiontotal>118</regiontotal>
  </row>
  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>4</region>
    <yr2001>489</yr2001>
    <yr2002>1,143</yr2002>
    <yr2003>816</yr2003>
    <yr2004>451</yr2004>
    <yr2005>372</yr2005>
    <yr2006>259</yr2006>
    <yr2007>173</yr2007>
    <yr2008>77</yr2008>
    <yr2009>234</yr2009>
    <yr2010>239</yr2010>
    <yr2011>227</yr2011>
    <yr2012>282</yr2012>
    <yr2013>467</yr2013>
    <yr2014>457</yr2014>
    <regiontotal>5,686</regiontotal>
  </row>
  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>5F</region>
    <yr2001>1</yr2001>
    <yr2002>0</yr2002>
    <yr2003>6</yr2003>
    <yr2004>44</yr2004>
    <yr2005>34</yr2005>
    <yr2006>8</yr2006>
    <yr2007>4</yr2007>
    <yr2008>20</yr2008>
    <yr2009>7</yr2009>
    <yr2010>2</yr2010>
    <yr2011>21</yr2011>
    <yr2012>13</yr2012>
    <yr2013>25</yr2013>
    <yr2014>23</yr2014>
    <regiontotal>208</regiontotal>
  </row>
  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>5R</region>
    <yr2001>25</yr2001>
    <yr2002>15</yr2002>
    <yr2003>64</yr2003>
    <yr2004>9</yr2004>
    <yr2005>21</yr2005>
    <yr2006>13</yr2006>
    <yr2007>13</yr2007>
    <yr2008>38</yr2008>
    <yr2009>34</yr2009>
    <yr2010>30</yr2010>
    <yr2011>33</yr2011>
    <yr2012>33</yr2012>
    <yr2013>37</yr2013>
    <yr2014>37</yr2014>
    <regiontotal>402</regiontotal>
  </row>
  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>5S</region>
    <yr2001>1</yr2001>
    <yr2002>5</yr2002>
    <yr2003>44</yr2003>
    <yr2004>138</yr2004>
    <yr2005>76</yr2005>
    <yr2006>34</yr2006>
    <yr2007>38</yr2007>
    <yr2008>64</yr2008>
    <yr2009>42</yr2009>
    <yr2010>23</yr2010>
    <yr2011>206</yr2011>
    <yr2012>164</yr2012>
    <yr2013>172</yr2013>
    <yr2014>183</yr2014>
    <regiontotal>1,190</regiontotal>
  </row>
  <row>
    <rowcolor>dddddd</rowcolor>
    <region>5 all.</region>
    <yr2001>27</yr2001>
    <yr2002>20</yr2002>
    <yr2003>114</yr2003>
    <yr2004>191</yr2004>
    <yr2005>131</yr2005>
    <yr2006>55</yr2006>
    <yr2007>55</yr2007>
    <yr2008>122</yr2008>
    <yr2009>83</yr2009>
    <yr2010>55</yr2010>
    <yr2011>260</yr2011>
    <yr2012>210</yr2012>
    <yr2013>234</yr2013>
    <yr2014>243</yr2014>
    <regiontotal>1,800</regiontotal>
  </row>
  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>6A</region>
    <yr2001>19</yr2001>
    <yr2002>12</yr2002>
    <yr2003>15</yr2003>
    <yr2004>26</yr2004>
    <yr2005>0</yr2005>
    <yr2006>5</yr2006>
    <yr2007>3</yr2007>
    <yr2008>3</yr2008>
    <yr2009>2</yr2009>
    <yr2010>8</yr2010>
    <yr2011>12</yr2011>
    <yr2012>4</yr2012>
    <yr2013>3</yr2013>
    <yr2014>7</yr2014>
    <regiontotal>119</regiontotal>
  </row>
  <row>
    <rowcolor>FFFFFF</rowcolor>
    <region>6B</region>
    <yr2001>5</yr2001>
    <yr2002>13</yr2002>
    <yr2003>2</yr2003>
    <yr2004>3</yr2004>
    <yr2005>0</yr2005>
    <yr2006>4</yr2006>
    <yr2007>1</yr2007>
    <yr2008>0</yr2008>
    <yr2009>15</yr2009>
    <yr2010>21</yr2010>
    <yr2011>17</yr2011>
    <yr2012>9</yr2012>
    <yr2013>14</yr2013>
    <yr2014>25</yr2014>
    <regiontotal>129</regiontotal>
  </row>
  <row>
    <rowcolor>dddddd</rowcolor>
    <region>6 all.</region>
    <yr2001>24</yr2001>
    <yr2002>25</yr2002>
    <yr2003>17</yr2003>
    <yr2004>29</yr2004>
    <yr2005>0</yr2005>
    <yr2006>9</yr2006>
    <yr2007>4</yr2007>
    <yr2008>3</yr2008>
    <yr2009>17</yr2009>
    <yr2010>29</yr2010>
    <yr2011>29</yr2011>
    <yr2012>13</yr2012>
    <yr2013>17</yr2013>
    <yr2014>32</yr2014>
    <regiontotal>248</regiontotal>
  </row>
  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>7</region>
    <yr2001>0</yr2001>
    <yr2002>0</yr2002>
    <yr2003>0</yr2003>
    <yr2004>0</yr2004>
    <yr2005>15</yr2005>
    <yr2006>0</yr2006>
    <yr2007>1</yr2007>
    <yr2008>33</yr2008>
    <yr2009>2</yr2009>
    <yr2010>0</yr2010>
    <yr2011>8</yr2011>
    <yr2012>16</yr2012>
    <yr2013>8</yr2013>
    <yr2014>20</yr2014>
    <regiontotal>103</regiontotal>
  </row>
  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>8</region>
    <yr2001>449</yr2001>
    <yr2002>316</yr2002>
    <yr2003>282</yr2003>
    <yr2004>151</yr2004>
    <yr2005>144</yr2005>
    <yr2006>178</yr2006>
    <yr2007>165</yr2007>
    <yr2008>165</yr2008>
    <yr2009>311</yr2009>
    <yr2010>248</yr2010>
    <yr2011>306</yr2011>
    <yr2012>344</yr2012>
    <yr2013>310</yr2013>
    <yr2014>225</yr2014>
    <regiontotal>3,594</regiontotal>
  </row>
  <row>
    <rowcolor>eee8aa</rowcolor>
    <region>9</region>
    <yr2001>111</yr2001>
    <yr2002>181</yr2002>
    <yr2003>86</yr2003>
    <yr2004>85</yr2004>
    <yr2005>38</yr2005>
    <yr2006>6</yr2006>
    <yr2007>0</yr2007>
    <yr2008>33</yr2008>
    <yr2009>4</yr2009>
    <yr2010>9</yr2010>
    <yr2011>49</yr2011>
    <yr2012>39</yr2012>
    <yr2013>127</yr2013>
    <yr2014>106</yr2014>
    <regiontotal>874</regiontotal>
  </row>
  <row>
    <rowcolor>aecaae</rowcolor>
    <region>TOTAL</region>
    <yr2001>1,230</yr2001>
    <yr2002>1,828</yr2002>
    <yr2003>1,409</yr2003>
    <yr2004>1,036</yr2004>
    <yr2005>735</yr2005>
    <yr2006>563</yr2006>
    <yr2007>447</yr2007>
    <yr2008>536</yr2008>
    <yr2009>727</yr2009>
    <yr2010>747</yr2010>
    <yr2011>1,037</yr2011>
    <yr2012>1,011</yr2012>
    <yr2013>1,277</yr2013>
    <yr2014>1,225</yr2014>
    <regiontotal>13,808</regiontotal>
  </row>
</dataset>
