<table><thead><tr><th rowspan="2">Country</th><th rowspan="2">Year</th><th colspan="2">1SW</th><th colspan="2">2SW</th><th colspan="2">3SW</th><th colspan="2">4SW</th><th colspan="2">5SW</th><th colspan="2">MSW (1)</th><th colspan="2">PS</th><th colspan="2">Total</th></tr><tr><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th></tr></thead><tbody><tr><td></td><td>1991</td><td>171 041</td><td>342</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>92 214</td><td>535</td><td>-</td><td>-</td><td>263 255</td><td>877</td></tr><tr><td></td><td>1992</td><td>151 291</td><td>301</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>92 717</td><td>566</td><td>-</td><td>-</td><td>244 008</td><td>867</td></tr><tr><td></td><td>1993</td><td>153 407</td><td>312</td><td>62 403</td><td>284</td><td>35 147</td><td>327</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>250 957</td><td>923</td></tr><tr><td></td><td>1994</td><td>-</td><td>415</td><td>-</td><td>319</td><td>-</td><td>262</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>996</td></tr><tr><td></td><td>1995</td><td>134 341</td><td>249</td><td>71 552</td><td>341</td><td>27 104</td><td>249</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>232 997</td><td>839</td></tr><tr><td></td><td>1996</td><td>110 085</td><td>215</td><td>69 389</td><td>322</td><td>27 627</td><td>249</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>207 101</td><td>786</td></tr><tr><td rowspan="10">Norway</td><td>1997</td><td>124 387</td><td>241</td><td>52 842</td><td>238</td><td>16 448</td><td>151</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>193 677</td><td>630</td></tr><tr><td>1998</td><td>162 185</td><td>296</td><td>66 767</td><td>306</td><td>15 568</td><td>139</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>244 520</td><td>741</td></tr><tr><td>1999</td><td>164 905</td><td>318</td><td>70 825</td><td>326</td><td>18 669</td><td>167</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>254 399</td><td>811</td></tr><tr><td>2000</td><td>250 468</td><td>504</td><td>99 934</td><td>454</td><td>24 319</td><td>219</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>374 721</td><td>1 177</td></tr><tr><td>2001</td><td>207 934</td><td>417</td><td>117 759</td><td>554</td><td>33 047</td><td>295</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>358 740</td><td>1 266</td></tr><tr><td>2002</td><td>127 039</td><td>249</td><td>98 055</td><td>471</td><td>33 013</td><td>299</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>258 107</td><td>1 019</td></tr><tr><td>2003</td><td>185 574</td><td>363</td><td>87 993</td><td>410</td><td>31 099</td><td>298</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>304 666</td><td>1 071</td></tr><tr><td>2004</td><td>108 645</td><td>207</td><td>77 343</td><td>371</td><td>23 173</td><td>206</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>209 161</td><td>784</td></tr><tr><td>2005</td><td>165 900</td><td>307</td><td>69 488</td><td>320</td><td>27 507</td><td>261</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>262 895</td><td>888</td></tr><tr><td>2006</td><td>142 218</td><td>261</td><td>99 401</td><td>453</td><td>23 529</td><td>218</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>265 148</td><td>932</td></tr><tr><td>2007</td><td>78 165</td><td>140</td><td>79 146</td><td>363</td><td>28 896</td><td>264</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>186 207</td><td>767</td></tr></tbody></table>
<table><thead><tr><th rowspan="2">Country</th><th rowspan="2">Year</th><th colspan="2">1SW</th><th colspan="2">2SW</th><th colspan="2">3SW</th><th colspan="2">4SW</th><th colspan="2">5SW</th><th colspan="2">MSW (1)</th><th colspan="2">PS</th><th colspan="2">Total</th></tr><tr><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th></tr></thead><tbody><tr><td></td><td>2008</td><td>89 228</td><td>170</td><td>69 027</td><td>314</td><td>34 124</td><td>322</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>192 379</td><td>807</td></tr><tr><td></td><td>2009</td><td>73 045</td><td>135</td><td>53 725</td><td>241</td><td>23 663</td><td>219</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>150 433</td><td>595</td></tr><tr><td></td><td>2010</td><td>98 490</td><td>184</td><td>56 260</td><td>250</td><td>22 310</td><td>208</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>177 060</td><td>642</td></tr><tr><td></td><td>2011</td><td>71 597</td><td>140</td><td>81 351</td><td>374</td><td>20 270</td><td>183</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>173 218</td><td>696</td></tr><tr><td></td><td>2012</td><td>81 638</td><td>162</td><td>63 985</td><td>289</td><td>26 689</td><td>245</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>172 312</td><td>696</td></tr><tr><td></td><td>2013</td><td>70 059</td><td>117</td><td>49 264</td><td>227</td><td>14 367</td><td>131</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>133 690</td><td>475</td></tr><tr><td></td><td>2014</td><td>85 419</td><td>171</td><td>47 347</td><td>203</td><td>12 415</td><td>116</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>145 181</td><td>490</td></tr><tr><td></td><td>2015</td><td>83 196</td><td>153</td><td>64 069</td><td>296</td><td>15 407</td><td>134</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>162 672</td><td>583</td></tr><tr><td></td><td>2016</td><td>65 470</td><td>117</td><td>69 167</td><td>321</td><td>19 406</td><td>174</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>154 043</td><td>612</td></tr><tr><td></td><td>2017</td><td>83 032</td><td>164</td><td>67 761</td><td>307</td><td>20 913</td><td>196</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>171 706</td><td>667</td></tr><tr><td></td><td>2018</td><td>84 348</td><td>167</td><td>62 447</td><td>289</td><td>15 247</td><td>138</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>162 197</td><td>594</td></tr><tr><td rowspan="7">Russia</td><td>1987</td><td>97 242</td><td>-</td><td>27 135</td><td>-</td><td>9 539</td><td>-</td><td>556</td><td>-</td><td>18</td><td>-</td><td>-</td><td>-</td><td>2 521</td><td>-</td><td>137 011</td><td>564</td></tr><tr><td>1988</td><td>53 158</td><td>-</td><td>33 395</td><td>-</td><td>10 256</td><td>-</td><td>294</td><td>-</td><td>25</td><td>-</td><td>-</td><td>-</td><td>2 937</td><td>-</td><td>100 065</td><td>420</td></tr><tr><td>1989</td><td>78 023</td><td>-</td><td>23 123</td><td>-</td><td>4 118</td><td>-</td><td>26</td><td>-</td><td>0</td><td>-</td><td>-</td><td>-</td><td>2 187</td><td>-</td><td>107 477</td><td>364</td></tr><tr><td>1990</td><td>70 595</td><td>-</td><td>20 633</td><td>-</td><td>2 919</td><td>-</td><td>101</td><td>-</td><td>0</td><td>-</td><td>-</td><td>-</td><td>2 010</td><td>-</td><td>96 258</td><td>313</td></tr><tr><td>1991</td><td>40 603</td><td>-</td><td>12 458</td><td>-</td><td>3 060</td><td>-</td><td>650</td><td>-</td><td>0</td><td>-</td><td>-</td><td>-</td><td>1 375</td><td>-</td><td>58 146</td><td>215</td></tr><tr><td>1992</td><td>34 021</td><td>-</td><td>8 880</td><td>-</td><td>3 547</td><td>-</td><td>180</td><td>-</td><td>0</td><td>-</td><td>-</td><td>-</td><td>824</td><td>-</td><td>47 452</td><td>167</td></tr></tbody></table>
<table><thead><tr><th rowspan="2">Country</th><th rowspan="2">Year</th><th colspan="2">1SW</th><th colspan="2">2SW</th><th colspan="2">3SW</th><th colspan="2">4SW</th><th colspan="2">5SW</th><th colspan="2">MSW (1)</th><th colspan="2">PS</th><th colspan="2">Total</th></tr><tr><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th></tr></thead><tbody><tr><td></td><td>1993</td><td>28 100</td><td>-</td><td>11 780</td><td>-</td><td>4 280</td><td>-</td><td>377</td><td>-</td><td>0</td><td>-</td><td>-</td><td>-</td><td>1 470</td><td>-</td><td>46 007</td><td>139</td></tr><tr><td></td><td>1994</td><td>30 877</td><td>-</td><td>10 879</td><td>-</td><td>2 183</td><td>-</td><td>51</td><td>-</td><td>0</td><td>-</td><td>-</td><td>-</td><td>555</td><td>-</td><td>44 545</td><td>141</td></tr><tr><td></td><td>1995</td><td>27 775</td><td>62</td><td>9 642</td><td>50</td><td>1 803</td><td>15</td><td>6</td><td>0</td><td>0</td><td>0</td><td>-</td><td>-</td><td>385</td><td>2</td><td>39 611</td><td>129</td></tr><tr><td></td><td>1996</td><td>33 878</td><td>79</td><td>7 395</td><td>42</td><td>1 084</td><td>9</td><td>40</td><td>1</td><td>0</td><td>0</td><td>-</td><td>-</td><td>41</td><td>1</td><td>42 438</td><td>131</td></tr><tr><td></td><td>1997</td><td>31 857</td><td>72</td><td>5 837</td><td>28</td><td>672</td><td>6</td><td>38</td><td>1</td><td>0</td><td>0</td><td>-</td><td>-</td><td>559</td><td>3</td><td>38 963</td><td>110</td></tr><tr><td></td><td>1998</td><td>34 870</td><td>92</td><td>6 815</td><td>33</td><td>181</td><td>2</td><td>28</td><td>0</td><td>0</td><td>0</td><td>-</td><td>-</td><td>638</td><td>3</td><td>42 532</td><td>130</td></tr><tr><td></td><td>1999</td><td>24 016</td><td>66</td><td>5 317</td><td>25</td><td>499</td><td>5</td><td>0</td><td>0</td><td>0</td><td>0</td><td>-</td><td>-</td><td>1 131</td><td>6</td><td>30 963</td><td>102</td></tr><tr><td></td><td>2000</td><td>27 702</td><td>75</td><td>7 027</td><td>34</td><td>500</td><td>5</td><td>3</td><td>0</td><td>0</td><td>0</td><td>-</td><td>-</td><td>1 853</td><td>9</td><td>37 085</td><td>123</td></tr><tr><td></td><td>2001</td><td>26 472</td><td>61</td><td>7 505</td><td>39</td><td>1 036</td><td>10</td><td>30</td><td>0</td><td>0</td><td>0</td><td>-</td><td>-</td><td>922</td><td>5</td><td>35 965</td><td>115</td></tr><tr><td></td><td>2002</td><td>24 588</td><td>60</td><td>8 720</td><td>43</td><td>1 284</td><td>12</td><td>3</td><td>0</td><td>0</td><td>0</td><td>-</td><td>-</td><td>480</td><td>3</td><td>35 075</td><td>118</td></tr><tr><td rowspan="10">Russia</td><td>2003</td><td>22 014</td><td>50</td><td>8 905</td><td>42</td><td>1 206</td><td>12</td><td>20</td><td>0</td><td>0</td><td>0</td><td>-</td><td>-</td><td>634</td><td>4</td><td>32 779</td><td>107</td></tr><tr><td>2004</td><td>17 105</td><td>39</td><td>6 786</td><td>33</td><td>880</td><td>7</td><td>0</td><td>0</td><td>0</td><td>0</td><td>-</td><td>-</td><td>529</td><td>3</td><td>25 300</td><td>82</td></tr><tr><td>2005</td><td>16 591</td><td>39</td><td>7 179</td><td>33</td><td>989</td><td>8</td><td>1</td><td>0</td><td>0</td><td>0</td><td>-</td><td>-</td><td>439</td><td>3</td><td>25 199</td><td>82</td></tr><tr><td>2006</td><td>22 412</td><td>54</td><td>5 392</td><td>28</td><td>759</td><td>6</td><td>0</td><td>0</td><td>0</td><td>0</td><td>-</td><td>-</td><td>449</td><td>3</td><td>29 012</td><td>91</td></tr><tr><td>2007</td><td>12 474</td><td>30</td><td>4 377</td><td>23</td><td>929</td><td>7</td><td>0</td><td>0</td><td>0</td><td>0</td><td>-</td><td>-</td><td>277</td><td>2</td><td>18 057</td><td>62</td></tr><tr><td>2008</td><td>13 404</td><td>28</td><td>8 674</td><td>39</td><td>669</td><td>4</td><td>8</td><td>0</td><td>0</td><td>0</td><td>-</td><td>-</td><td>312</td><td>2</td><td>23 067</td><td>73</td></tr><tr><td>2009</td><td>13 580</td><td>30</td><td>7 215</td><td>35</td><td>720</td><td>5</td><td>36</td><td>0</td><td>0</td><td>0</td><td>-</td><td>-</td><td>173</td><td>1</td><td>21 724</td><td>71</td></tr></tbody></table>
<table><thead><tr><th rowspan="2">Country</th><th rowspan="2">Year</th><th colspan="2">1SW</th><th colspan="2">2SW</th><th colspan="2">3SW</th><th colspan="2">4SW</th><th colspan="2">5SW</th><th colspan="2">MSW (1)</th><th colspan="2">PS</th><th colspan="2">Total</th></tr><tr><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th></tr></thead><tbody><tr><td></td><td>2010</td><td>14 834</td><td>33</td><td>9 821</td><td>48</td><td>844</td><td>6</td><td>49</td><td>0</td><td>0</td><td>0</td><td>-</td><td>-</td><td>186</td><td>1</td><td>25 734</td><td>88</td></tr><tr><td></td><td>2011</td><td>13 779</td><td>31</td><td>9 030</td><td>44</td><td>747</td><td>5</td><td>51</td><td>0</td><td>0</td><td>0</td><td>-</td><td>-</td><td>171</td><td>1</td><td>23 778</td><td>82</td></tr><tr><td></td><td>2012</td><td>17 484</td><td>42</td><td>6 560</td><td>34</td><td>738</td><td>5</td><td>53</td><td>0</td><td>0</td><td>0</td><td>-</td><td>-</td><td>173</td><td>1</td><td>25 008</td><td>83</td></tr><tr><td></td><td>2013</td><td>14 576</td><td>35</td><td>6 938</td><td>36</td><td>857</td><td>6</td><td>27</td><td>0</td><td>0</td><td>0</td><td>-</td><td>-</td><td>93</td><td>1</td><td>22 491</td><td>78</td></tr><tr><td></td><td>2014</td><td>15 129</td><td>35</td><td>7 936</td><td>38</td><td>1 015</td><td>7</td><td>34</td><td>0</td><td>0</td><td>0</td><td>-</td><td>-</td><td>106</td><td>1</td><td>24 220</td><td>81</td></tr><tr><td></td><td>2015</td><td>15 011</td><td>38</td><td>7 082</td><td>36</td><td>723</td><td>5</td><td>19</td><td>0</td><td>0</td><td>0</td><td>-</td><td>-</td><td>277</td><td>1</td><td>23 112</td><td>80</td></tr><tr><td></td><td>2016</td><td>11 064</td><td>28</td><td>4 716</td><td>22</td><td>621</td><td>4</td><td>23</td><td>0</td><td>0</td><td>0</td><td>-</td><td>-</td><td>289</td><td>2</td><td>16 713</td><td>56</td></tr><tr><td></td><td>2017</td><td>5 592</td><td>14</td><td>5 930</td><td>28</td><td>644</td><td>4</td><td>7</td><td>0</td><td>0</td><td>9</td><td>-</td><td>-</td><td>90</td><td>0</td><td>12 263</td><td>56</td></tr><tr><td></td><td>2018</td><td>12 626</td><td>30</td><td>9 355</td><td>43</td><td>820</td><td>5</td><td>13</td><td>0</td><td>0</td><td>0</td><td>-</td><td>-</td><td>232</td><td>1</td><td>23 046</td><td>80</td></tr><tr><td rowspan="10">Ireland</td><td>1980</td><td>248 333</td><td>745</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>39 608</td><td>202</td><td>-</td><td>-</td><td>287 941</td><td>947</td></tr><tr><td>1981</td><td>173 667</td><td>521</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>32 159</td><td>164</td><td>-</td><td>-</td><td>205 826</td><td>685</td></tr><tr><td>1982</td><td>310 000</td><td>930</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>12 353</td><td>63</td><td>-</td><td>-</td><td>322 353</td><td>993</td></tr><tr><td>1983</td><td>502 000</td><td>1 506</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>29 411</td><td>150</td><td>-</td><td>-</td><td>531 411</td><td>1 656</td></tr><tr><td>1984</td><td>242 666</td><td>728</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>19 804</td><td>101</td><td>-</td><td>-</td><td>262 470</td><td>829</td></tr><tr><td>1985</td><td>498 333</td><td>1 495</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>19 608</td><td>100</td><td>-</td><td>-</td><td>517 941</td><td>1 595</td></tr><tr><td>1986</td><td>498 125</td><td>1 594</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>28 335</td><td>136</td><td>-</td><td>-</td><td>526 460</td><td>1 730</td></tr><tr><td>1987</td><td>358 842</td><td>1 112</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>27 609</td><td>127</td><td>-</td><td>-</td><td>386 451</td><td>1 239</td></tr></tbody></table>
<table><thead><tr><th rowspan="2">Country</th><th rowspan="2">Year</th><th colspan="2">1SW</th><th colspan="2">2SW</th><th colspan="2">3SW</th><th colspan="2">4SW</th><th colspan="2">5SW</th><th colspan="2">MSW (1)</th><th colspan="2">PS</th><th colspan="2">Total</th></tr><tr><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th></tr></thead><tbody><tr><td></td><td>1988</td><td>559 297</td><td>1 733</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>30 599</td><td>141</td><td>-</td><td>-</td><td>589 896</td><td>1 874</td></tr><tr><td></td><td>1989</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>330 558</td><td>1 079</td></tr><tr><td></td><td>1990</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>188 890</td><td>567</td></tr><tr><td></td><td>1991</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>135 474</td><td>404</td></tr><tr><td></td><td>1992</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>235 435</td><td>631</td></tr><tr><td></td><td>1993</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>200 120</td><td>541</td></tr><tr><td></td><td>1994</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>286 266</td><td>804</td></tr><tr><td></td><td>1995</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>288 225</td><td>790</td></tr><tr><td></td><td>1996</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>249 623</td><td>685</td></tr><tr><td></td><td>1997</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>209 214</td><td>570</td></tr><tr><td></td><td>1998</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>237 663</td><td>624</td></tr><tr><td></td><td>1999</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>180 477</td><td>515</td></tr><tr><td></td><td>2000</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>228 220</td><td>621</td></tr><tr><td></td><td>2001</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>270 963</td><td>730</td></tr><tr><td rowspan="3">Ireland</td><td>2002</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>256 808</td><td>682</td></tr><tr><td>2003</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>204 145</td><td>551</td></tr><tr><td>2004</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>180 953</td><td>489</td></tr></tbody></table>
<table><thead><tr><th rowspan="2">Country</th><th rowspan="2">Year</th><th colspan="2">1SW</th><th colspan="2">2SW</th><th colspan="2">3SW</th><th colspan="2">4SW</th><th colspan="2">5SW</th><th colspan="2">MSW (1)</th><th colspan="2">PS</th><th colspan="2">Total</th></tr><tr><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th></tr></thead><tbody><tr><td></td><td>2005</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>156 308</td><td>422</td></tr><tr><td></td><td>2006</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>120 834</td><td>326</td></tr><tr><td></td><td>2007</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>30 946</td><td>84</td></tr><tr><td></td><td>2008</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>33 200</td><td>89</td></tr><tr><td></td><td>2009</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>25 170</td><td>68</td></tr><tr><td></td><td>2010</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>36 508</td><td>99</td></tr><tr><td></td><td>2011</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>32 308</td><td>87</td></tr><tr><td></td><td>2012</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>32 599</td><td>88</td></tr><tr><td></td><td>2013</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>32 303</td><td>87</td></tr><tr><td></td><td>2014</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>20 883</td><td>56</td></tr><tr><td></td><td>2015</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>23 416</td><td>63</td></tr><tr><td></td><td>2016</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>21 504</td><td>58</td></tr><tr><td></td><td>2017</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>26 714</td><td>72</td></tr><tr><td></td><td>2018</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>21 425</td><td>58</td></tr><tr><td>UK</td><td>1985</td><td>62 815</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>32 716</td><td>-</td><td>-</td><td>-</td><td>95 531</td><td>361</td></tr><tr><td>(England & Wales)</td><td>1986</td><td>68 759</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>42 035</td><td>-</td><td>-</td><td>-</td><td>110 794</td><td>430</td></tr><tr><td></td><td>1987</td><td>56 739</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>26 700</td><td>-</td><td>-</td><td>-</td><td>83 439</td><td>302</td></tr></tbody></table>
<table><thead><tr><th rowspan="2">Country</th><th rowspan="2">Year</th><th colspan="2">1SW</th><th colspan="2">2SW</th><th colspan="2">3SW</th><th colspan="2">4SW</th><th colspan="2">5SW</th><th colspan="2">MSW (1)</th><th colspan="2">PS</th><th colspan="2">Total</th></tr><tr><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th></tr></thead><tbody><tr><td></td><td>1988</td><td>76 012</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>34 151</td><td>-</td><td>-</td><td>-</td><td>110 163</td><td>395</td></tr><tr><td></td><td>1989</td><td>54 384</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>29 284</td><td>-</td><td>-</td><td>-</td><td>83 668</td><td>296</td></tr><tr><td></td><td>1990</td><td>45 072</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>41 604</td><td>-</td><td>-</td><td>-</td><td>86 676</td><td>338</td></tr><tr><td></td><td>1991</td><td>36 671</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>14 978</td><td>-</td><td>-</td><td>-</td><td>51 649</td><td>200</td></tr><tr><td></td><td>1992</td><td>34 331</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>10 255</td><td>-</td><td>-</td><td>-</td><td>44 586</td><td>171</td></tr><tr><td></td><td>1993</td><td>56 033</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>13 144</td><td>-</td><td>-</td><td>-</td><td>69 177</td><td>248</td></tr><tr><td></td><td>1994</td><td>67 853</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>20 268</td><td>-</td><td>-</td><td>-</td><td>88 121</td><td>324</td></tr><tr><td></td><td>1995</td><td>57 944</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>22 534</td><td>-</td><td>-</td><td>-</td><td>80 478</td><td>295</td></tr><tr><td></td><td>1996</td><td>30 352</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>16 344</td><td>-</td><td>-</td><td>-</td><td>46 696</td><td>183</td></tr><tr><td></td><td>1997</td><td>30 203</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>11 171</td><td>-</td><td>-</td><td>-</td><td>41 374</td><td>142</td></tr><tr><td></td><td>1998</td><td>30 272</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>6 645</td><td>-</td><td>-</td><td>-</td><td>36 917</td><td>123</td></tr><tr><td></td><td>1999</td><td>27 953</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>13 154</td><td>-</td><td>-</td><td>-</td><td>41 107</td><td>150</td></tr><tr><td></td><td>2000</td><td>48 153</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>12 800</td><td>-</td><td>-</td><td>-</td><td>60 953</td><td>219</td></tr><tr><td></td><td>2001</td><td>38 480</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>12 827</td><td>-</td><td>-</td><td>-</td><td>51 307</td><td>184</td></tr><tr><td></td><td>2002</td><td>34 708</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>10 961</td><td>-</td><td>-</td><td>-</td><td>45 669</td><td>161</td></tr><tr><td></td><td>2003</td><td>14 656</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>7 550</td><td>-</td><td>-</td><td>-</td><td>22 206</td><td>89</td></tr><tr><td></td><td>2004</td><td>24 753</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>5 806</td><td>-</td><td>-</td><td>-</td><td>30 559</td><td>111</td></tr></tbody></table>
<table><thead><tr><th rowspan="2">Country</th><th rowspan="2">Year</th><th colspan="2">1SW</th><th colspan="2">2SW</th><th colspan="2">3SW</th><th colspan="2">4SW</th><th colspan="2">5SW</th><th colspan="2">MSW (1)</th><th colspan="2">PS</th><th colspan="2">Total</th></tr><tr><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th></tr></thead><tbody><tr><td></td><td>2005</td><td>19 883</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>6 279</td><td>-</td><td>-</td><td>-</td><td>26 162</td><td>97</td></tr><tr><td>UK</td><td>2006</td><td>17 204</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>4 852</td><td>-</td><td>-</td><td>-</td><td>22 056</td><td>80</td></tr><tr><td>(England & Wales)</td><td>2007</td><td>15 540</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>4 383</td><td>-</td><td>-</td><td>-</td><td>19 923</td><td>67</td></tr><tr><td></td><td>2008</td><td>14 467</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>4 569</td><td>-</td><td>-</td><td>-</td><td>19 036</td><td>64</td></tr><tr><td></td><td>2009</td><td>10 015</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>3 895</td><td>-</td><td>-</td><td>-</td><td>13 910</td><td>54</td></tr><tr><td></td><td>2010</td><td>25 502</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>7 193</td><td>-</td><td>-</td><td>-</td><td>32 695</td><td>109</td></tr><tr><td></td><td>2011</td><td>19 708</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>14 867</td><td>-</td><td>-</td><td>-</td><td>34 575</td><td>136</td></tr><tr><td></td><td>2012</td><td>7 493</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>7 433</td><td>-</td><td>-</td><td>-</td><td>14 926</td><td>58</td></tr><tr><td></td><td>2013</td><td>13 113</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>9 495</td><td>-</td><td>-</td><td>-</td><td>22 608</td><td>84</td></tr><tr><td></td><td>2014</td><td>7 678</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>6 541</td><td>-</td><td>-</td><td>-</td><td>14 219</td><td>54</td></tr><tr><td></td><td>2015</td><td>9 053</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>10 209</td><td>-</td><td>-</td><td>-</td><td>19 262</td><td>68</td></tr><tr><td></td><td>2016</td><td>9 447</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>13 047</td><td>-</td><td>-</td><td>-</td><td>22 494</td><td>86</td></tr><tr><td></td><td>2017</td><td>4 866</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>7 298</td><td>-</td><td>-</td><td>-</td><td>12 164</td><td>49</td></tr><tr><td></td><td>2018</td><td>3 180</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>3 830</td><td>-</td><td>-</td><td>-</td><td>11 640</td><td>42</td></tr><tr><td>UK</td><td>1982</td><td>208 061</td><td>496</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>128 242</td><td>596</td><td>-</td><td>-</td><td>336 303</td><td>1 092</td></tr><tr><td>(Scotland)</td><td>1983</td><td>209 617</td><td>549</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>145 961</td><td>672</td><td>-</td><td>-</td><td>355 578</td><td>1 221</td></tr><tr><td></td><td>1984</td><td>213 079</td><td>509</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>107 213</td><td>504</td><td>-</td><td>-</td><td>320 292</td><td>1 013</td></tr></tbody></table>
<table><thead><tr><th rowspan="2">Country</th><th rowspan="2">Year</th><th colspan="2">1SW</th><th colspan="2">2SW</th><th colspan="2">3SW</th><th colspan="2">4SW</th><th colspan="2">5SW</th><th colspan="2">MSW (1)</th><th colspan="2">PS</th><th colspan="2">Total</th></tr><tr><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th></tr></thead><tbody><tr><td></td><td>1985</td><td>158 012</td><td>399</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>114 648</td><td>514</td><td>-</td><td>-</td><td>272 660</td><td>913</td></tr><tr><td></td><td>1986</td><td>202 838</td><td>525</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>148 197</td><td>744</td><td>-</td><td>-</td><td>351 035</td><td>1 269</td></tr><tr><td></td><td>1987</td><td>164 785</td><td>419</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>103 994</td><td>503</td><td>-</td><td>-</td><td>268 779</td><td>922</td></tr><tr><td></td><td>1988</td><td>149 098</td><td>381</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>112 162</td><td>501</td><td>-</td><td>-</td><td>261 260</td><td>882</td></tr><tr><td></td><td>1989</td><td>174 941</td><td>431</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>103 886</td><td>464</td><td>-</td><td>-</td><td>278 827</td><td>895</td></tr><tr><td></td><td>1990</td><td>81 094</td><td>201</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>87 924</td><td>423</td><td>-</td><td>-</td><td>169 018</td><td>624</td></tr><tr><td></td><td>1991</td><td>73 608</td><td>177</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>65 193</td><td>285</td><td>-</td><td>-</td><td>138 801</td><td>462</td></tr><tr><td></td><td>1992</td><td>101 676</td><td>238</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>82 841</td><td>361</td><td>-</td><td>-</td><td>184 517</td><td>600</td></tr><tr><td></td><td>1993</td><td>94 517</td><td>227</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>71 726</td><td>320</td><td>-</td><td>-</td><td>166 243</td><td>547</td></tr><tr><td></td><td>1994</td><td>99 479</td><td>248</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>85 404</td><td>400</td><td>-</td><td>-</td><td>184 883</td><td>648</td></tr><tr><td></td><td>1995</td><td>89 971</td><td>224</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>78 511</td><td>364</td><td>-</td><td>-</td><td>168 482</td><td>588</td></tr><tr><td></td><td>1996</td><td>66 465</td><td>160</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>57 998</td><td>267</td><td>-</td><td>-</td><td>124 463</td><td>427</td></tr><tr><td></td><td>1997</td><td>46 866</td><td>114</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>40 459</td><td>182</td><td>-</td><td>-</td><td>87 325</td><td>296</td></tr><tr><td></td><td>1998</td><td>53 503</td><td>121</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>39 264</td><td>162</td><td>-</td><td>-</td><td>92 767</td><td>283</td></tr><tr><td></td><td>1999</td><td>25 255</td><td>57</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>30 694</td><td>143</td><td>-</td><td>-</td><td>55 949</td><td>199</td></tr><tr><td></td><td>2000</td><td>44 033</td><td>114</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>36 767</td><td>161</td><td>-</td><td>-</td><td>80 800</td><td>275</td></tr><tr><td></td><td>2001</td><td>42 586</td><td>101</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>34 926</td><td>150</td><td>-</td><td>-</td><td>77 512</td><td>251</td></tr></tbody></table>
<table><thead><tr><th rowspan="2">Country</th><th rowspan="2">Year</th><th colspan="2">1SW</th><th colspan="2">2SW</th><th colspan="2">3SW</th><th colspan="2">4SW</th><th colspan="2">5SW</th><th colspan="2">MSW (1)</th><th colspan="2">PS</th><th colspan="2">Total</th></tr><tr><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th></tr></thead><tbody><tr><td></td><td>2002</td><td>31 385</td><td>73</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>26 403</td><td>118</td><td>-</td><td>-</td><td>57 788</td><td>191</td></tr><tr><td></td><td>2003</td><td>29 598</td><td>71</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>27 588</td><td>122</td><td>-</td><td>-</td><td>57 091</td><td>192</td></tr><tr><td></td><td>2004</td><td>37 631</td><td>88</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>36 856</td><td>159</td><td>-</td><td>-</td><td>74 033</td><td>245</td></tr><tr><td></td><td>2005</td><td>39 093</td><td>91</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>28 666</td><td>126</td><td>-</td><td>-</td><td>67 117</td><td>215</td></tr><tr><td></td><td>2006</td><td>36 668</td><td>75</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>27 620</td><td>118</td><td>-</td><td>-</td><td>63 848</td><td>192</td></tr><tr><td>UK</td><td>2007</td><td>32 335</td><td>71</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>24 098</td><td>100</td><td>-</td><td>-</td><td>56 433</td><td>171</td></tr><tr><td>(Scotland)</td><td>2008</td><td>23 431</td><td>51</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>25 745</td><td>110</td><td>-</td><td>-</td><td>49 176</td><td>161</td></tr><tr><td></td><td>2009</td><td>18 189</td><td>37</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>19 185</td><td>83</td><td>-</td><td>-</td><td>37 374</td><td>121</td></tr><tr><td></td><td>2010</td><td>33 426</td><td>69</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>26 988</td><td>111</td><td>-</td><td>-</td><td>60 414</td><td>180</td></tr><tr><td></td><td>2011</td><td>15 706</td><td>33</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>28 496</td><td>126</td><td>-</td><td>-</td><td>44 202</td><td>159</td></tr><tr><td></td><td>2012</td><td>19 371</td><td>40</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>19 785</td><td>84</td><td>-</td><td>-</td><td>39 156</td><td>124</td></tr><tr><td></td><td>2013</td><td>20 747</td><td>45</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>17 223</td><td>74</td><td>-</td><td>-</td><td>37 970</td><td>119</td></tr><tr><td></td><td>2014</td><td>12 581</td><td>26</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>13 329</td><td>58</td><td>-</td><td>-</td><td>25 910</td><td>84</td></tr><tr><td></td><td>2015</td><td>13 659</td><td>29</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>9 165</td><td>39</td><td>-</td><td>-</td><td>22 824</td><td>68</td></tr><tr><td></td><td>2016</td><td>4 298</td><td>8</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>4 151</td><td>18</td><td>-</td><td>-</td><td>8 449</td><td>27</td></tr><tr><td></td><td>2017</td><td>3 633</td><td>7</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>4 327</td><td>19</td><td>-</td><td>-</td><td>7 960</td><td>26</td></tr><tr><td></td><td>2018</td><td>3 810</td><td>8</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>2557</td><td>12</td><td>-</td><td>-</td><td>6 367</td><td>19</td></tr></tbody></table>
<table><thead><tr><th rowspan="2">Country</th><th rowspan="2">Year</th><th colspan="2">1SW</th><th colspan="2">2SW</th><th colspan="2">3SW</th><th colspan="2">4SW</th><th colspan="2">5SW</th><th colspan="2">MSW (1)</th><th colspan="2">PS</th><th colspan="2">Total</th></tr><tr><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th></tr></thead><tbody><tr><td rowspan="20">France</td><td>1987</td><td>6 013</td><td>18</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>1 806</td><td>9</td><td>-</td><td>-</td><td>7 819</td><td>27</td></tr><tr><td>1988</td><td>2 063</td><td>7</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>4 964</td><td>25</td><td>-</td><td>-</td><td>7 027</td><td>32</td></tr><tr><td>1989</td><td>1 124</td><td>3</td><td>1 971</td><td>9</td><td>311</td><td>2</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>3 406</td><td>14</td></tr><tr><td>1990</td><td>1 886</td><td>5</td><td>2 186</td><td>9</td><td>146</td><td>1</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>4 218</td><td>15</td></tr><tr><td>1991</td><td>1 362</td><td>3</td><td>1 935</td><td>9</td><td>190</td><td>1</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>3 487</td><td>13</td></tr><tr><td>1992</td><td>2 490</td><td>7</td><td>2 450</td><td>12</td><td>221</td><td>2</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>5 161</td><td>21</td></tr><tr><td>1993</td><td>3 581</td><td>10</td><td>987</td><td>4</td><td>267</td><td>2</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>4 835</td><td>16</td></tr><tr><td>1994</td><td>2 810</td><td>7</td><td>2 250</td><td>10</td><td>40</td><td>1</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>5 100</td><td>18</td></tr><tr><td>1995</td><td>1 669</td><td>4</td><td>1 073</td><td>5</td><td>22</td><td>0</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>2 764</td><td>10</td></tr><tr><td>1996</td><td>2 063</td><td>5</td><td>1 891</td><td>9</td><td>52</td><td>0</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>4 006</td><td>13</td></tr><tr><td>1997</td><td>1 060</td><td>3</td><td>964</td><td>5</td><td>37</td><td>0</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>2 061</td><td>8</td></tr><tr><td>1998</td><td>2 065</td><td>5</td><td>824</td><td>4</td><td>22</td><td>0</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>2 911</td><td>8</td></tr><tr><td>1999</td><td>690</td><td>2</td><td>1 799</td><td>9</td><td>32</td><td>0</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>2 521</td><td>11</td></tr><tr><td>2000</td><td>1 792</td><td>4</td><td>1 253</td><td>6</td><td>24</td><td>0</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>3 069</td><td>11</td></tr><tr><td>2001</td><td>1 544</td><td>4</td><td>1 489</td><td>7</td><td>25</td><td>0</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>3 058</td><td>11</td></tr><tr><td>2002</td><td>2 423</td><td>6</td><td>1 065</td><td>5</td><td>41</td><td>0</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>3 529</td><td>11</td></tr><tr><td>2003</td><td>1 598</td><td>5</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>1 540</td><td>8</td><td>-</td><td>-</td><td>3 138</td><td>13</td></tr></tbody></table>
<table><thead><tr><th rowspan="2">Country</th><th rowspan="2">Year</th><th colspan="2">1SW</th><th colspan="2">2SW</th><th colspan="2">3SW</th><th colspan="2">4SW</th><th colspan="2">5SW</th><th colspan="2">MSW (1)</th><th colspan="2">PS</th><th colspan="2">Total</th></tr><tr><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th></tr></thead><tbody><tr><td></td><td>2004</td><td>1 927</td><td>5</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>2 880</td><td>14</td><td>-</td><td>-</td><td>4 807</td><td>19</td></tr><tr><td></td><td>2005</td><td>1 236</td><td>3</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>1 771</td><td>8</td><td>-</td><td>-</td><td>3 007</td><td>11</td></tr><tr><td></td><td>2006</td><td>1 763</td><td>3</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>1 785</td><td>9</td><td>-</td><td>-</td><td>3 548</td><td>13</td></tr><tr><td></td><td>2007</td><td>1 378</td><td>3</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>1 685</td><td>9</td><td>-</td><td>-</td><td>3 063</td><td>12</td></tr><tr><td></td><td>2008</td><td>1 471</td><td>3</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>1 931</td><td>9</td><td>-</td><td>-</td><td>3 402</td><td>12</td></tr><tr><td></td><td>2009</td><td>487</td><td>1</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>975</td><td>4</td><td>-</td><td>-</td><td>1 462</td><td>5</td></tr><tr><td></td><td>2010</td><td>1 658</td><td>4</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>821</td><td>4</td><td>-</td><td>-</td><td>2 479</td><td>7</td></tr><tr><td></td><td>2011</td><td>1 145</td><td>3</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>2 126</td><td>9</td><td>-</td><td>-</td><td>3 271</td><td>11</td></tr><tr><td></td><td>2012</td><td>1 010</td><td>2</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>1 669</td><td>7</td><td>-</td><td>-</td><td>2 679</td><td>10</td></tr><tr><td rowspan="5">France</td><td>2013</td><td>1 457</td><td>3</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>1 679</td><td>7</td><td>-</td><td>-</td><td>3 136</td><td>10</td></tr><tr><td>2014</td><td>1 469</td><td>3</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>2 159</td><td>9</td><td>-</td><td>-</td><td>3 628</td><td>12</td></tr><tr><td>2015</td><td>1 239</td><td>3</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>2 435</td><td>9</td><td>-</td><td>-</td><td>3 674</td><td>12</td></tr><tr><td>2016</td><td>1 017</td><td>2</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>972</td><td>4</td><td>-</td><td>-</td><td>1 989</td><td>6</td></tr><tr><td>2017</td><td>1 524</td><td>4</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>986</td><td>5</td><td>-</td><td>-</td><td>2 510</td><td>9</td></tr><tr><td rowspan="2">Spain (2)</td><td>1993</td><td>1 589</td><td>-</td><td>827</td><td>-</td><td>75</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>1 678</td><td>6</td><td>-</td><td>-</td><td>2 749</td><td>10</td></tr><tr><td>1994</td><td>1 658</td><td>5</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>735</td><td>4</td><td>-</td><td>-</td><td>2 393</td><td>9</td></tr></tbody></table>
<table><thead><tr><th rowspan="2">Country</th><th rowspan="2">Year</th><th colspan="2">1SW</th><th colspan="2">2SW</th><th colspan="2">3SW</th><th colspan="2">4SW</th><th colspan="2">5SW</th><th colspan="2">MSW (1)</th><th colspan="2">PS</th><th colspan="2">Total</th></tr><tr><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th></tr></thead><tbody><tr><td></td><td>1995</td><td>389</td><td>1</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>1 118</td><td>6</td><td>-</td><td>-</td><td>1 507</td><td>7</td></tr><tr><td></td><td>1996</td><td>349</td><td>1</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>676</td><td>3</td><td>-</td><td>-</td><td>1 025</td><td>4</td></tr><tr><td></td><td>1997</td><td>169</td><td>0</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>425</td><td>2</td><td>-</td><td>-</td><td>594</td><td>3</td></tr><tr><td></td><td>1998</td><td>481</td><td>1</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>403</td><td>2</td><td>-</td><td>-</td><td>884</td><td>3</td></tr><tr><td></td><td>1999</td><td>157</td><td>0</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>986</td><td>5</td><td>-</td><td>-</td><td>1 143</td><td>6</td></tr><tr><td></td><td>2000</td><td>1 227</td><td>3</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>433</td><td>3</td><td>-</td><td>-</td><td>1 660</td><td>6</td></tr><tr><td></td><td>2001</td><td>1 129</td><td>3</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>1 677</td><td>9</td><td>-</td><td>-</td><td>2 806</td><td>12</td></tr><tr><td></td><td>2002</td><td>651</td><td>2</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>1 085</td><td>6</td><td>-</td><td>-</td><td>1 736</td><td>8</td></tr><tr><td></td><td>2003</td><td>210</td><td>1</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>1 116</td><td>6</td><td>-</td><td>-</td><td>1 326</td><td>6</td></tr><tr><td></td><td>2004</td><td>1 053</td><td>3</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>731</td><td>4</td><td>-</td><td>-</td><td>1 784</td><td>6</td></tr><tr><td></td><td>2005</td><td>412</td><td>1</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>2 336</td><td>11</td><td>-</td><td>-</td><td>2 748</td><td>12</td></tr><tr><td></td><td>2006</td><td>350</td><td>1</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>1 864</td><td>9</td><td>-</td><td>-</td><td>2 214</td><td>10</td></tr><tr><td></td><td>2007</td><td>481</td><td>1</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>1 468</td><td>7</td><td>-</td><td>-</td><td>1 949</td><td>8</td></tr><tr><td></td><td>2008</td><td>162</td><td>0</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>1 371</td><td>7</td><td>-</td><td>-</td><td>1 533</td><td>7</td></tr><tr><td></td><td>2009</td><td>106</td><td>0</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>250</td><td>1</td><td>-</td><td>-</td><td>356</td><td>1</td></tr><tr><td></td><td>2010</td><td>81</td><td>0</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>166</td><td>1</td><td>-</td><td>-</td><td>247</td><td>1</td></tr><tr><td></td><td>2011</td><td>18</td><td>0</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>1 027</td><td>5</td><td>-</td><td>-</td><td>1 045</td><td>5</td></tr></tbody></table>
<table><thead><tr><th rowspan="2">Country</th><th rowspan="2">Year</th><th colspan="2">1SW</th><th colspan="2">2SW</th><th colspan="2">3SW</th><th colspan="2">4SW</th><th colspan="2">5SW</th><th colspan="2">MSW (1)</th><th colspan="2">PS</th><th colspan="2">Total</th></tr><tr><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th><th>No.</th><th>Wt</th></tr></thead><tbody><tr><td></td><td>2012</td><td>237</td><td>1</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>1 064</td><td>6</td><td>-</td><td>-</td><td>1 301</td><td>6</td></tr><tr><td></td><td>2013</td><td>111</td><td>0</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>725</td><td>4</td><td>-</td><td>-</td><td>836</td><td>4</td></tr><tr><td></td><td>2014</td><td>48</td><td>0</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>1 160</td><td>6</td><td>-</td><td>-</td><td>1 208</td><td>6</td></tr><tr><td></td><td>2015</td><td>46</td><td>0</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>1 048</td><td>5</td><td>-</td><td>-</td><td>1 094</td><td>5</td></tr><tr><td></td><td>2016</td><td>332</td><td>1</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>806</td><td>4</td><td>-</td><td>-</td><td>1 138</td><td>5</td></tr><tr><td></td><td>2017</td><td>140</td><td>0</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>358</td><td>2</td><td>-</td><td>-</td><td>498</td><td>2</td></tr><tr><td></td><td>2018</td><td>123</td><td>0</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>477</td><td>3</td><td>-</td><td>-</td><td>600</td><td>3</td></tr></tbody></table>

1. MSW includes all sea ages >1, when this cannot be broken down.

Different methods are used to separate 1SW and MSW salmon in different countries:

- Scale reading: Faroe Islands, Finland (1996 onwards), France, Russia, USA and West Greenland.

- Size (split weight/length): Canada (2.7 kg for nets; 63 cm for rods), Finland up until 1995 (3 kg),

Iceland (various splits used at different times and places), Norway (3 kg), UK Scotland (3 kg in some places and 3.7 kg in others),

All countries except Scotland report no problems with using weight to categorise catches into sea age classes; mis-classification may be very high in some years.

In Norway, catches shown as 3SW refer to salmon of 3SW or greater.

2. Based on catches in Asturias (80-90% of total catch).
## Annex 5: WGNAS responses to the generic ToRs for Regional and Species Working Groups

The Working Group was asked, where relevant, to consider the questions posed by ICES under their generic ToRs for regional and species Working Groups. Only brief responses are provided since the majority of questions are already addressed in response to the ToRs from NASCO (see main report) or in the WGNAS Stock Annex (see Annex 6).

<table><thead><tr><th>Generic ToR questions</th><th>WGNAS response</th></tr></thead><tbody><tr><td>Consider and comment on ecosystem overviews where available.</td><td>A brief ecosystem overview is provided in the WGNAS stock annex (see Annex 6 below) and environmental influences on the stock are incorporated in the annual advice to NASCO. The advice to NASCO is provided for three Commission areas: North-east Atlantic, North America and West Greenland and may address a wide range of factors affecting salmon at different stages in their life cycle.<br>Detailed consideration has been given to possible ecosystem drivers in both freshwater and the marine environment, but at present it is not possible to incorporate such drivers in the assessment process.</td></tr><tr><td>For the fisheries considered by the Working Group consider and comment on:<br>descriptions of ecosystem impacts of fisheries where available;<br>descriptions of developments and recent changes to the fisheries;<br>mixed fisheries overview; and<br>emerging issues of relevance for the management of the fisheries.</td><td>i) Salmon fisheries have no, or only minor, influence on the marine ecosystem. The exploitation of salmon in freshwater may affect the riverine ecosystem through changes in species composition. There is limited knowledge of the magnitude of these effects.<br>ii) Any recent changes in fisheries are documented in response to the ToR from NASCO (see main report).<br>iii) Salmon are not caught in mixed fisheries to any great extent. Most salmon are caught in targeted fisheries in homewaters, principally net and trap fisheries in estuaries and coastal waters, and rod-and-line fisheries in freshwater. There is very little bycatch of other species in these fisheries or in the inshore drift and gillnet fishery at West Greenland. There was some limited bycatch of other fish species (e.g. lumpsucker) in the Faroese longline fishery when this fishery operated. There is also some bycatch of salmon post-smolts and adults in pelagic fisheries operated in the Norwegian Sea and North Atlantic; further details were provided in Section 3.4 of the 2014 WGNAS report (ICES, 2014). Some fisheries targeted at other fish species in freshwater and coastal areas (e.g. aboriginal trout and charr fisheries in Canada) are licensed to land salmon caught as a by-catch. Numbers are typically small. Species interaction effects and ecosystem drivers are summarised in the stock annex (see below).<br>iv) NASCO also routinely requests ICES to document emerging issues of relevance to the management of salmon fisheries. Details are provided in Section 2 of the report (above).</td></tr><tr><td>Conduct an assessment to update advice on the stock(s) using the method (analytical, forecast or trends indicators) as described in the stock annex and produce a brief report of the work carried out regarding the stock, summarising where the item is relevant:<br>Input data (including information from the fishing industry and NGO that is pertinent to the assessments and projections);</td><td>The questions posed in this section of the generic ToR are addressed routinely in the WGNAS report when responding to the questions posed by NASCO.<br>Details of all inputs used in the latest assessments for Atlantic salmon are provided in response to the ToRs from NASCO (see main report).<br>Estimates of unreported catch levels as used in the latest assessments for Atlantic salmon are provided in response to the ToRs from NASCO (see main report). The different components of the catch of Atlantic salmon are reported as fully as possible</td></tr></tbody></table>
<table><thead><tr><td>Generic ToR questions</td><td>WGNAS response</td></tr></thead><tbody><tr><td>Where misreporting of catches is significant, provide qualitative and where possible quantitative information and describe the methods used to obtain the information;</td><td rowspan="5">in the Working Group report in response to the specific questions posed by NASCO. Details of the data collection procedures for each country / region are also provided in the stock annex. Nominal catches are reported annually by country for all fisheries and estimates of unreported catch are also provided for most countries. These values are carried forward to the advice. Discards do not typically apply for salmon fisheries, although when the Faroese longline fishery was being prosecuted (the fishery has not operated since 2000) there was a legal requirement for salmon &lt;63 cm in total length to be discarded. The catch options risk framework developed by WGNAS for the Faroes fishery makes allowance for these discards.</td></tr><tr><td>For relevant stocks estimate the percentage of the total catch that has been taken in the NEAFC regulatory area by year in the recent three years;</td></tr><tr><td>The developments in spawning-stock biomass, total-stock biomass, fishing mortality, catches (wanted and unwanted landings and discards) using the method described in the stock annex;</td></tr><tr><td>The state of the stocks against relevant reference points;</td></tr><tr><td>Catch options for next year;</td></tr><tr><td>Historical performance of the assessment and catch options and brief description of quality issues with these.</td><td>Not applicable to Atlantic salmon.<br/>Not applicable to Atlantic salmon.<br/>The latest assessments of stock status for Atlantic salmon are provided in response to the ToRs from NASCO (see main report).<br/>The latest catch options for Atlantic salmon are provided in response to the ToRs from NASCO (see main report).<br/>Quality issues relating to the input data and models are described in the main report and stock annex.</td></tr><tr><td>Produce a first draft of the advice on the fish stocks and fisheries under considerations according to ACOM guidelines.</td><td>This task will be completed by the WG and WGNAS Chair in advance of the RG/ADG meeting in April.</td></tr><tr><td>With reference to the Frequency of Assessment criteria agreed by ACOM (see section 5.1 of WGCHAIRS document 03): (1) Complete the calculation of the first set of criteria, by calculating Mohn's rho index for the final assessment year F; (2) Comment on the list of stocks initially identified as candidates for less frequent assessment from the first set of criteria (adding stocks to the list or removing them would require a sufficient rationale to be provided).</td><td>Following agreement with NASCO, WGNAS provides multiyear advice, with forecasts for three years into the future, accompanied by a Framework of Indicators (FWI) for the Greenland fishery and a FWI for Faroese fishery.<br/>The FWIs are designed to trigger re-assessment and recalculation of forecasts in the event of a certain proportion of stock status indicators showing a higher than expected performance against the forecast stock status. At the beginning of 2016 the FWI for the Faroese fishery triggered a re-assessment, while the Greenland FWI did not. In light of this WGNAS 2016 provided the appropriate re-assessment for the stocks contributing to the Faroese fishery (North European), and reset the FWI for a further two years. The Greenland FWI and the Faroes FWI were run in January 2017 and both indicated that there was no change in stock status from the previous advice and the previously provided advice was still relevant. The FWIs will be updated for the next multiyear advice cycle planned for Marhc 2018. At which point (and in light of neither FWIs indicating re-assessment in intervening years) the WGNAS have recommended that both NAC and NEAC stocks are re-assessed, to realign the time frames of the respective FWIs.</td></tr><tr><td>Consider and propose stocks to be benchmarked;</td><td>In 2015 and 2016 the status of NAC and NEAC stocks were assessed using comparable tools to those applied in previous years. Work on developing life cycle forecast models is ongoing and their application is seen to be one year away. Upon the completion of these forecast models, a benchmarking exercise may be requested prior to their implementation, although this remains to be determined.</td></tr><tr><td>Review progress on benchmark processes of relevance to the expert group;</td><td>Not applicable.</td></tr></tbody></table>
<table><thead><tr><td>Generic ToR questions</td><td>WGNAS response</td></tr></thead><tbody><tr><td>Propose specific actions to be taken to improve the quality and transmission of the data (including improvements in data collection)</td><td>There are significant uncertainties in some of the input data for the assessment models, particularly relating to unreported catches (used in the NEAC assessments). However, efforts are made to take account of these in the stock status and stock forecast models.<br/>Data deficiencies are recorded in the 'Quality Considerations' section of the annual advice document and specific concerns/ recommendations for improvement are included in WGNAS reports.<br/>Recommendations in relation to data collection needs for assessment of Atlantic salmon were recently provided in the report of the ICES Workshop on Eel and Salmon Data Collection Framework WKESDCF (ICES, 2012c); discussions have continued with the EU on the implementation of these recommendations.</td></tr><tr><td>Prepare the data calls for the next year update assessment and for the planned data compilation workshops.</td><td>Not applicable to WGNAS.</td></tr><tr><td>Update, quality check and report relevant data for the stock:<br/>Load fisheries data on effort and catches into the InterCatch database by fisheries/fleet</td><td>Not applicable to WGNAS. The InterCatch database is not used for Atlantic salmon. All data inputs used in assessments are updated and reported in the WGNAS report. All data are subject to routine checking and QA by WGNAS members.</td></tr><tr><td>Abundance survey results;</td><td>Not applicable to WGNAS.</td></tr><tr><td>Environmental drivers.</td><td>Not applicable to WGNAS.</td></tr><tr><td>Produce an overview of the sampling activities on a national basis based on the InterCatch database or, where relevant, the regional database.</td><td>Not applicable to WGNAS. The InterCatch database is not used for Atlantic salmon.</td></tr><tr><td>Identify research needs of relevance for the Working Group.</td><td>This is addressed by WGNAS in response to the ToRs from NASCO (see main report).</td></tr></tbody></table>
Annex 6: WGNAS Stock Annex for Atlantic salmon

The table below provides an overview of the WGNAS Stock Annex. Stock Annexes for other stocks are available on the ICES website Library under the Publication Type "Stock Annexes". Use the search facility to find a particular Stock Annex, refining your search in the left-hand column to include the *year*, *ecoregion*, *species*, and *acronym* of the relevant ICES expert group.

<table><thead><tr><td>Stock ID</td><td>Stock name</td><td>Last updated</td><td>Link</td></tr></thead><tbody><tr><td>sal-nea</td><td>Atlantic Salmon</td><td>April 2019</td><td>Salmo salar</td></tr></tbody></table>
**Annex 7: Glossary of acronyms used in this report**

**1SW** (*One-Sea-Winter*). Maiden adult salmon that has spent one winter at sea.

**2SW** (*Two-Sea-Winter*). Maiden adult salmon that has spent two winters at sea.

**ACOM** (*Advisory Committee*) of ICES. The Committee works on the basis of scientific assessment prepared in the ICES expert groups. The advisory process includes peer review of the assessment before it can be used as the basis for advice. The Advisory Committee has one member from each member country under the direction of an independent chair appointed by the Council.

**AMO** (*Atlantic Multidecadal Oscillation*).

**ASC** (Annual Science Conference of ICES)

**ASF** (*Atlantic Salmon Federation*). A non-governmental organisation dedicated to the conservation, protection and restoration of wild Atlantic salmon and the ecosystems on which their well-being and survival depend.

**AST** (*Atlantic Salmon Trust*). A non-governmental organisation dedicated to salmon and sea trout survival through research on the problems impacting migratory salmonids.

**BCIs** (*Bayesian Credible Intervals*). A range of values within which an unobserved parameter falls with a particular probability.

**BHSRA** (*Bayesian Hierarchical Stock and Recruitment Approach*). Models for the analysis of a group of related stock-recruit datasets. Hierarchical modelling is a statistical technique that allows the modelling of the dependence among parameters that are related or connected through the use of a hierarchical model structure. Hierarchical models can be used to combine data from several independent sources.

**CL**, i.e. **Slim** (*Conservation Limit*). Demarcation of undesirable stock levels or levels of fishing activity; the ultimate objective when managing stocks and regulating fisheries will be to ensure that there is a high probability that undesirable levels are avoided.

**CMR** (*Capture Mark Recapture*). Method to estimate the population of tag or marked fish.

**CPUE** (*Catch per Unit of Effort*). A derived quantity obtained from the independent values of catch and effort.

**C&R** (*Catch and Release*). Catch and release is a practice within recreational fishing intended as a technique of conservation. After capture, the fish are unhooked and returned to the water before experiencing serious exhaustion or injury. Using barbless hooks, it is often possible to release the fish without removing it from the water (a slack line is frequently sufficient).

**CWT** (*Coded Wire Tag*). The CWT is a length of magnetized stainless steel wire 0.25 mm in diameter. The tag is marked with rows of numbers denoting specific batch or individual codes. Tags are cut from rolls of wire by an injector that hypodermically implants them into suitable tissue. The standard length of a tag is 1.1 mm.

**DBERAAS** (*Database on Effectiveness of Recovery Actions for Atlantic Salmon*). Database output from WGERAAS.

**DCF** (*Data Collection Framework*). Framework under which EU Member States collect, manage and make available a wide range of fisheries data needed for scientific advice.

**DC-MAP** (*Data Collection Multi-Annual Programme*). Framework under which EU Member States collect, manage and make available a wide range of fisheries data needed for scientific advice.
**DFO** (*Department of Fisheries and Oceans*). DFO and its Special Operating Agency, the Canadian Coast Guard, deliver programs and services that support sustainable use and development of Canada's waterways and aquatic resources.

**DNA** (*Deoxyribonucleic Acid*). DNA is a nucleic acid that contains the genetic instructions used in the development and functioning of all known living organisms (with the exception of RNA-Ribonucleic Acid viruses). The main role of DNA molecules is the long-term storage of information. DNA is often compared to a set of blueprints, like a recipe or a code, since it contains the instructions needed to construct other components of cells, such as proteins and RNA molecules.

**DSG** (*diadromous subgroup*). Pan-regional subgroup within the Regional Coordination Groups to coordinate and identify data collection needs for diadromous species in relation to the EU data collection regulation Data Collection Framework/Data Collection-Multi-Annual Programme.

**DST** (*Data Storage Tag*). A miniature data logger with sensors including salinity, temperature, and depth that is attached to fish and other marine animals.

**FAO** (*Food and Agriculture Organization of the United Nations*).

**FSC** (*Food, Social and Ceremonial fishery*). Indigenous fishery in Canada for food, social or ceremonial purposes.

**FWI** (*Framework of Indicators*). The FWI is a tool used to indicate if any significant change in the status of stocks used to inform the previously provided multiannual management advice has occurred.

**GFLK** (*Greenland Fisheries Licence Control Authority*).

**GLM** (*Generalised Linear Model*). A conventional linear regression model for a continuous response variable given continuous and/or categorical predictors.

**GoSL** (*Gulf of St Lawrence*).

**IASRB** (*International Atlantic Salmon Research Board*). Platform established by NASCO in 2001 to encourage and facilitate cooperation and collaboration on research related to marine mortality in Atlantic salmon.

**ICES** (*International Council for the Exploration of the Sea*). A global organisation that develops science and advice to support the sustainable use of the oceans through the coordination of oceanic and coastal monitoring and research, and advising international commissions and governments on marine policy and management issues.

**IESSNS** (*International Ecosystem Survey of the Nordic Seas*). A collaborative programme involving research vessels from Iceland, the Faroe Islands and Norway.

**IFI** (*Inland Fisheries Ireland*). The State agency responsible for the protection, management and conservation of Ireland's inland fisheries and sea angling resources.

**IHN** (*Infecious Haematopoietic Necrosis*). An infectious disease caused by the IHN virus.

**IMR** (*Institute of Marine Research*). Norwegian institute who provide advice to Norwegian authorities on aquaculture and the ecosystems of the Barents Sea, the Norwegian Sea, the North Sea and the Norwegian coastal zone.

**IPN** (*Infectious Pancreatic Necrosis*). An infectious disease caused by the IPN virus.

**IPPC** (*Intergovernmental Panel on Climate Change*).

**ISA** (*Infectious Salmon Anaemia*). An infectious disease caused by the ISA virus.

**IUCN** (*International Union for Conservation of Nature*).
**IYS** (*International Year of the Salmon*). An international framework for collaborative outreach and research launched by NPAFC, NASCO and other partners. The IYS focal year will be 2019, with projects and activities starting in 2018 and continuing into 2020.

**JAGS** (*Just Another Gibbs Sampler*). A program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation.

**LAB / Lab** (*Labrador*). Labrador, Canada.

**LE** (*Lagged Eggs*). The summation of lagged eggs from 1 and 2 sea-winter fish is used for the first calculation of PFA.

**LS** (*Lagged Spawners*). The summation of lagged spawners from 1 and 2 sea-winter fish is used for the calculation of PFA.

**MCMC** (*Markov Chain Monte Carlo*). Re-sampling algorithm used in (Bayesian) statistics.

**MFFP** (*Ministère des Forêts, de la Faune et des Parcs du Québec*). Ministry of Forests, Wildlife and Parks in the Provincial Government of Québec, Canada.

**MSA** (*Mixed Stock Analysis*). Genetic analytical technique to estimate the proportions origin of fish in a mixed-stock fishery.

or

**MSA** (*Miramichi Salmon Association*).

**MSY** (*Maximum Sustainable Yield*). The largest average annual catch that may be taken from a stock continuously without affecting the catch of future years; a constant long-term MSY is not a reality in most fisheries, where stock sizes vary with the strength of year classes moving through the fishery.

**MSW** (*Multi-Sea-Winter*). A MSW salmon is an adult salmon which has spent two or more winters at sea and may be a repeat spawner.

**NAC** (*North American Commission*). The North American Atlantic Commission of NASCO or the North American Commission area of NASCO.

**NAFO** (*Northwest Atlantic Fisheries Organisation*). NAFO is an intergovernmental fisheries science and management organization that ensures the long-term conservation and sustainable use of the fishery resources in the Northwest Atlantic.

**NAO** (*North Atlantic Oscillation*).

**NASCO** (*North Atlantic Salmon Conservation Organisation*). An international organisation, established by an inter-governmental convention in 1984. The objective of NASCO is to conserve, restore, enhance and rationally manage Atlantic salmon through international cooperation taking account of the best available scientific information.

**NCC** (*NunatuKavut Community Council*). NCC is one of four subsistence fisheries harvesting salmonids in Labrador.

**NEAC** (*North Eastern Atlantic Commission*). North-East Atlantic Commission of NASCO or the North-East Atlantic Commission area of NASCO.

**NEAC – N** (*North Eastern Atlantic Commission- northern area*). The northern portion of the North-East Atlantic Commission area of NASCO.

**NEAC – S** (*North Eastern Atlantic Commission – southern area*). The southern portion of the North-East Atlantic Commission area of NASCO.

**NF** (*Newfoundland*). Newfoundland, Canada.
**NG** (*Nunatsiavut Government*). NG is one of four subsistence fisheries harvesting salmonids in Labrador. NG members are fishing in the northern Labrador communities.

**NOAA** (*National Oceanic and Atmospheric Administration*). A scientific agency within the United States Department of Commerce.

**OTN** (*Ocean Tracking Network*).

**PFA** (*Pre-Fishery Abundance*). The numbers of salmon estimated to be alive in the ocean from a particular stock at a specified time. In the previous version of the stock complex Bayesian PFA forecast model two productivity parameters are calculated, for the *maturing* (PFAm) and *non-maturing* (PFAnm) components of the PFA. In the updated version only one productivity parameter is calculated, and used to calculate total PFA, which is then split into PFAm and PFAnm based upon the *proportion of PFAm* (p.PFAm).

**PFANAC1SW** (*PFA NAC 1SW*). The non-maturing component of 1SW salmon, destined to be 2SW returns (excluding 3SW and previous spawners) is represented by the PFA estimate for year i.

**PHS** (*Port Hope Simpson*).

**PIT** (*Passive Integrated Transponder*). PIT tags use radio frequency identification technology. PIT tags lack an internal power source. They are energized on encountering an electromagnetic field emitted from a transceiver. The tag's unique identity code is programmed into the microchip's non-volatile memory.

**PMCV** (*Piscine myocarditis virus*)

**PRV-1** (*Piscine orthoreovirus genotype 1*)

**PRV-3** (*Piscine orthoreovirus subtype 3*)

**PP** (*Primary production*)

**PSAT** (*pop-off satellite tags*)

**RCG** (*Regional Coordination Group*). Group(s) that coordinate and identify data collection needs in relation to the EU data collection regulations.

**RNA** (*Ribonucleic acid*)

**ROO** (*Region of Origin*)

**RR model** (*Run-Reconstruction model*). RR model is used to estimate PFA and national CLs.

**RST** (*rotary screw trap*). A fish trap with a rotating drum typically used to sample the downstream run of smolts in a river.

**RVS** (*Red Vent Syndrome*). This condition has been noted since 2005, and has been linked to the presence of a nematode worm, *Anisakis simplex*. This is a common parasite of marine fish and is also found in migratory species. The larval nematode stages in fish are usually found spirally coiled on the mesenteries, internal organs and less frequently in the somatic muscle of host fish.

**SAC** (*Special Area of Conservation*). Strictly protected site designated under the European Committee Habitats Directive.

**SALSEA** (*Salmon at Sea*). An international programme of co-operative research, adopted in 2005, designed to improve understanding of the migration and distribution of salmon at sea in relation to feeding opportunities and predation.

**SALSEA-Merge** (*Salmon at Sea Merge*). SALSEA-Merge is an international programme of cooperative research designed to improve understanding of the migration and distribution of salmon
at sea in relation to feeding opportunities and predation. It differentiates between tasks which
can be achieved through enhanced coordination of existing ongoing research, and those involv-
ing new research for which funding is required.

**SALSEA-Track** (*Salmon at Sea Track*). SALSEA-Track is the second phase of the SALSEA Pro-
gramme. It employs advances in telemetry technology to precisely track Atlantic salmon along
their migration routes through cooperative international research initiatives.

**SAMARCH** (*Salmonid Management Round the CHannel*). Project (2017-2022) part funded by the France England Interreg Channel programme. The project will provide new transferable scientific evidence to inform the management of salmon and sea trout (salmonids) in the estuaries and coastal waters of both the French and English sides of the Channel.

**SCICOM** (*Science Committee of ICES*). Main scientific body in ICES.

SE (standard error).

**SER** (*Spawning Escapement Reserve*). The CL increased to take account of natural mortality be-
tween the recruitment date (assumed to be 1st January) and the date of return to homewaters.

**SFA** (*Salmon Fishing Areas*). Areas for which the Department of Fisheries and Oceans (DFO) Can-
ada manages the salmon fisheries.

**Slim, i.e. CL** (*Conservation Limit*). Demarcation of undesirable stock levels or levels of fishing activity; the ultimate objective when managing stocks and regulating fisheries will be to ensure that there is a high probability that the undesirable levels are avoided.

**SMSY** (*Spawners for maximum sustainable yield*). The spawner abundance that generates recruitment at a level that provides a maximum exploitable yield (recruitment minus spawners).

**SNP** (*Single Nucleotide Polymorphism*). Type of genetic marker used in stock identification and population genetic studies.

S–R (Stock recruitment)

SoBI (Strait of Belle Isle)

**SSM** (*Bayesian state-space modelling*). Model used to analyse time-series, migration and/or popu-
lation dynamics data.

SST (Sea surface temperature)

SVA (Swedish National Veterinary Institute)

**TAC** (*Total Allowable Catch*). TAC is the quantity of fish that can be taken from each stock each year.

ToR (Terms of reference).

**UDN** (*Ulcerative Dermal Necrosis*). Disease mainly affecting wild Atlantic salmon, sea trout and sometimes other salmonids. It usually occurs in adult fish returning from the sea in the colder months of the year and starts as small lesions on the scale-less regions of the fish, mainly the snout, above the eye and near the gill cover. On entry to freshwater lesions ulcerate and may become infected with secondary pathogens like the fungus Saprolegnia spp. Major outbreaks of UDN occurred in the 1880s (UK) and 1960s–1970s (UK and Ireland), but the disease has also been reported from France, and in 2015 from the Baltic and Russia.

UK (United Kingdom and Northern Ireland). Country in Europe.

**VHS / VHSV** (*Viral Haemorrhagic Septicaemia*). An infectious fish disease caused by the VHS vi-
rus.
**WGC** (*West Greenland Commission*). The West Greenland Commission of NASCO or the West Greenland Commission area of NASCO.

**WGDIAD** (*Working Group on the Science Requirements to Support Conservation, Restoration and Management of Diadromous Species*). Formerly WGRECORDS, WGDIAD was reconstituted as a Working Group from the Transition Group on the Science Requirements to Support Conservation, Restoration and Management of Diadromous Species (TGRECORDS).

**WGF** (*West Greenland Fishery*). Regulatory measures for the WGF have been agreed by the West Greenland Commission of NASCO for most years since NASCO's establishment. These have resulted in greatly reduced allowable catches in the WGF, reflecting declining abundance of the salmon stocks in the area.

**WGNAS** (*Working Group on North Atlantic Salmon*). ICES working group responsible for the annual assessment of the status of salmon stocks across the North Atlantic and formulating catch advice for NASCO.

**WGWIDE** (*Working Group on Widely Distributed Stocks compiles and analyses data on blue whiting, Western and North Sea horse mackerel, North East Atlantic mackerel, Norwegian spring-spawning herring, and boarfish to provide the annual ICES advice*).

**WKCCISAL** (*The Workshop on Potential Impacts of Climate Change on Atlantic Salmon Stock Dynamics*).
## Annex 8: NASCO has requested ICES to identify relevant data deficiencies, monitoring needs and research requirements

The Working Group recommends that it should meet in 2020 (Chair, Martha Robertson, Canada) to address questions posed by ICES, including those posed by NASCO. In the absence of a formal invitation elsewhere, the Working Group intends to convene in the headquarters of ICES in Copenhagen, Denmark. The meeting will be held from 24 March–2 April 2020.

### List of recommendations

1. For more efficient identification of the origin of PIT tagged salmon detected in catches processed at pelagic fish factories, or tags detected in other fisheries, the Working Group recommends that lists of individual PIT tag numbers or codes identifying the origin, source or programme of the tags are recorded and made available in a public database, coordinated on a European scale to facilitate identification of individual tagged fish taken in marine fisheries or surveys back to the source.

2. The Working Group recommends complete and timely reporting of catch statistics from all fisheries for all areas of eastern Canada.

3. The Working Group recommends improved catch statistics and sampling of the Labrador and Saint Pierre and Miquelon fisheries. Improved catch statistics and sampling of all aspects of the fishery across the fishing season will improve the information on biological characteristics and stock origin of salmon harvested in these mixed-stock fisheries.

4. The Working Group recommends that additional monitoring be considered in Labrador to estimate stock status for that region. Additionally, efforts should be undertaken to evaluate the utility of other available data sources (e.g. Indigenous and recreational catches and effort) to describe stock status in Labrador.

5. The Working Group recommends that the Government of Greenland continue efforts to improve the reporting system of catch in the Greenland fishery and that detailed statistics related to spatially and temporally explicit catch and effort data for all fishers be made available to the Working Group for analysis.

6. The Working Group recommends that the West Greenland Commission of NASCO continue to support the implementation of a broad geographic sampling programme, including sampling in Nuuk, and consideration should be given to expanding the programme across the fishing season to more accurately estimate continent and region of origin and biological characteristics of the mixed-stock fishery.
Annex 9: WGNAS 2019 Response to Review Group 2018

Annex 10: Technical minutes from the Review Group on North Sea Salmon 2018

RGSalmon 23-26 April 2018

Reviewer: Marc Trudel, Canada

Working Group: WGNAS

**WGNAS General comments**

The ICES Working Group on North Atlantic Salmon (WGNAS) produced a comprehensive report on the status and trends of Atlantic salmon abundance and productivity in the Northern Europe, Southern Europe, and North America, that included additional information requested by NASCO on Atlantic salmon in the North Atlantic Ocean. The authors of the report should be commended for their effort in pulling a comprehensive document in a very short time. The recommendations from ICES to NASCO with respect to the mixed-stock fisheries in the Faroes and off Greenland remain essentially unchanged from the previous assessment (i.e. no provision for mixed-stock fisheries in these areas that would meet all the conservation requirements for the NEAC and NAC complexes).

Final thoughts I have been involved as an external reviewer for the ICES WGNAS since 2012. During that time, the recommendations from ICES to NASCO for the mixed-stock fisheries have remained essentially unchanged (i.e. no provision for mixed-stock fisheries). Nominal catches have declined in part due to an increase in the catch and release recreational fishery, and a reduction in the retention fishery. One then wonders, what conditions would be needed for the recommendation to change? With the endangered status of Atlantic salmon in the US, and pending designation for stocks in the Scotia Fundy region, it is unlikely that we will ever reach a 95% simultaneous attainment of the conservation limits at the regional level, let alone at the individual population level, in the near and possibly foreseeable future. Hence, the advice for West Greenland will likely remain unchanged until the situation of these stocks improves.
## WGNAS Specific comments

### North Atlantic

1) Section 2.1.1 (third to last paragraph). The authors indicated that "Estuarine fisheries have fluctuated between 18 (2008) and 40 t (2015) in the period. This doesn't seem to match the results presented in Figure 2.1.1.3, along with the observation of a dramatic decline reported a few lines above.

Noted. Text will be corrected in 2019 report.

2) Section 2.3.2. Pink salmon are often thought have a fixed 2-year life cycle. However, 3-year old pink salmon are not uncommon in the Great Lakes (see Wagner and Stauffer, 1980). This may need to be corrected in the text. Wagner, W.C., and T.M. Stauffer. 1980. Three-Year-Old Pink Salmon in Lake Superior Tributaries. Trans. Am. Fish. Soc. 109: 458-460.

The WG typically only reports on pink salmon in odd years when widespread captures are reported around the N. Atlantic. In the event of a future review of this issue, reference to such exceptions could be incorporated in the WG report.

3) Section 2.3.3.1. Please indicate the type of tags that were used on striped bass.

The tags recovered outside the historic range of the southern Gulf of St Lawrence were external T-bar tags.

4) Section 2.3.4. The title of this section is misleading, as the authors only reported acoustic telemetry conducted in the Miramichi River, and ignored other studies that were performed in 2017. For instance, David Hardie (Fisheries and Oceans Canada, Bedford Institute of Oceanography) tagged salmon smolts with conventional acoustic tags as well as with predation-tags in some river systems in the Maritimes Region. In future years, it might be desirable to report either on all the acoustic tagging studies performed on Atlantic salmon in Canada, or preferably in the North Atlantic. The later would be preferable, as it would relate to the SALSEA-Track programme.

The WG reports on information presented at the meeting by participants. To date, telemetry activities undertaken by the Atlantic Salmon Federation have been reported by one of the participants. A more complete compilation of telemetry activities occurring annually in the North Atlantic could be provided if this was an item in the TOR of the WG.

5) Section 2.3.7. The authors report the number of salmon that are intercepted in the Icelandic mackerel fishery per 1000 tonnes of mackerel. It might be useful to the reader if the authors expended the bycatch of salmon for the total tonnage of mackerel to give a better sense of how salmon are likely caught in this fishery.

The WG has provided more detailed assessments of the likely extent of salmon bycatch in pelagic fisheries in earlier reports in response to specific questions from NASCO. The updates provided subsequently represent ad hoc updates.

6) Section 2.4.1. The authors provide a summary of the WGERAAS report on the failures and successes of salmon restoration. I have quickly glanced at the appendices in this report, and in general, the studies that were examined to assess the successes and failures of restoration did not compare changes in salmon abundance in nearby reference sites. Hence, it might be difficult to ascribe changes (or lack thereof) that occurred following a restoration activity to that activity. One additional recommendation that should be listed is to include at the very least one nearby reference site as part of the pre- and post-evaluation process.

This useful suggestion has been noted by the WG. However, the WGERAAS report has been completed.
NEAC

7) Section 3.3.6. The authors correctly pointed out that, for Northern NEAC, marine survival (or return rates) was only available for one population in recent years (in Norway), and as such may not an appropriate indicator of survival trends in Northern NEAC. The authors should also provide a cautionary note regarding the survival of hatchery smolts from Southern NEAC, as estimates are only available for Ireland, which may not be representative of the whole Southern NEAC complex. Hence, it may be difficult to compare trends in smolt survival trends between Northern and Southern NEAC, wild and hatchery smolts, as the aggregate survival may not be integrated over the same spatial scales.

Additional Northern NEAC indicators are now becoming available. With regard to Southern NEAC, data have also been provided for hatchery stocks in Iceland (S & W Iceland is included in Southern NEAC). The text in the 2019 report will be updated.

8) Section 3.3.6, next to last paragraph and last paragraph. The authors indicated that data were available from four French index rivers: Bresle, Oir, Scorff, and Nivelle. However, results for Bresle were not presented in Table 3.3.6.1.

This was a formatting / printing issue. The data were in the Table provided to ICES. Final reports will be reviewed more thoroughly by the WGNAS Chair.

9) Section 3.4.1. Why were catches in the Faroes and off Greenland included as covariates rather than using the actual catch data in the estimation of the Pre-fishery Assessment?

Use of the term 'covariate' was incorrect. For the Faroes, the catch data are directly included in the model along with an estimated unreported catch which has an associated uncertainty that is incorporated in the forecast model when sampling. For Greenland, an observation model is used to estimate the proportion of the catch that is from NEAC, based on sampling information. The comment has been noted and the text will be updated in the report to reflect this when the forecast model is next run.

10) Section 3.4.2. I may have missed this, but how well did the projections do (this was explored for the North American Commission)? For instance, the model was initially run in 2014 to project pre-fishery abundance in 2015, 2016, and 2017. How close were the projected values to those obtained from the latest data? Clearly, this can be affected by domestic management allocations, but it would still be desirable to know how well the model performed to give some confidence to the reader that this model works reasonably well, as it is now used to make projections to 2021. Though I recognize that the variance in the projections increase over time.

The WG agrees that this would be a useful exercise. It is anticipated that the WG will transition to using a life cycle model for future assessment and forecasting. As part of this process a full comparison of the performance of both the new and existing forecasting models would be undertaken.

11) Section 3.4.3. UK (England & Wales). The authors indicated that "Lagged eggs for the maturing component are forecast to decline to the lowers levels in the time-series". I presume the authors refer to the top left panel of Figure 3.4.3.3 here? If so, I don't think I can see this, except perhaps for 2018.

Relevant figure should be 3.4.3.4. However, agree wording inconsistent with figure.

12) Section 3.5.1. It would appear that NASCO has yet to adopt a management objective for the mixed-stock fishery in the Faroes and off Greenland. Is there any indication as to when NASCO is expected to adopt these objectives?

NASCO have previously agreed a formal structure with ICES for the provision of catch advice for the West Greenland fishery. This is not the case for the Faroes fishery. ICES have provided proposals for a management framework, and provide indicative catch advice for the Faroes fishery based on this. However, this has not yet been endorsed by managers at NASCO. The topic is discussed annually during the meetings of the NE Atlantic Commission, but there is currently no indication of when any framework might be adopted.
13) Section 3.5.2. The Working Group noted that incidence of North American salmon in the catches at the Faroes were higher than previously reported due to recent genetic analyses. I presume that this is based on genetic analyses performed on historical samples? It might be desirable to perform an experimental fishery in the Faroes to determine whether or not this is the case with contemporary samples. One approach could be to use longlines to catch the fish. Depending on the duration of the soak time, it may be possible to catch and release the fish alive as was done in the North Pacific during the late 1950s and early 1960s.

The WG recognises that the composition of the catch at Faroes is based on historical samples and that information from contemporary samples would be required to inform management advice should any fishery commence at Faroes. The fishery at Faroes was always prosecuted as a longline fishery.
NAC

14) Section 4.1.2. The Recreational fisheries end with "In all areas of eastern Canada, there is no estimate of salmon released as bycatch in recreational fisheries targeting other species". I presume here that all the salmon caught as bycatch in these recreational fisheries would have to be released, alive preferentially (unless the fish died during the capture process, it would still have to be released). So that would not be counted as part of the nominal catch, but rather as a catch and release. Is that correct?

Catch and release estimates provided in the report are from the directed salmon fisheries. Catches in non-salmon directed fisheries cannot be retained and such catch must be returned to the water as soon as possible and in a manner that results in the least possible harm, even if dead. These catches are not included as nominal catch nor in the catch and release figures. In fact, even incidental mortality from catch and release is not included as nominal catch because it is not retained.

15) Section 4.1.3. Last paragraph of the Recreational fisheries section. The authors indicated that, except for the province of Québec, Canada does not regularly collect recreational catch statistics for Atlantic salmon. Shouldn't the Working Group recommend that Canada collect this type of information on an annual basis (or some other regular reporting schedule)?

The reporting of catches in all fisheries is one of the six tenets evaluation at NASCO for which Canada indicated this element did not comply. ICES has commented on this issue in the report many times and continues to recommend that catch statistics be collected from all fisheries and all user groups. Canada has commented on this in their Annual Report to NASCO and it remains an important management gap.

16) Section 4.1.6. Section on Canada. The authors indicated that the provisional exploitation rates for 2017 for the retained small salmon in the recreational fishery was 11% for Newfoundland, which was greater than the previous five year mean of 10%. While technically 11% is greater than 10%, this difference is relatively small and well within the measurement errors of these estimates. So perhaps indicating that they are slightly larger or similar might be better.

The WG agrees that care should be taken when highlighting minor difference between years or long-term averages.

17) Section 4.3.5, second paragraph. The authors indicated that the return rate of the small salmon of hatchery origin to the Penobscott was similar to 2016, but above the 1991-present average. This statement is not backed up by the data, as the 1991-present average is 5.2% compared the value of 5% that was used. So there isn't much difference to the long-term average. Note also that many of these survival estimates are similar to each other (for instance 0.2 vs. 0.3%). This should be kept in mind when highlighting differences among years or longer term averages.

The conclusion of the comparison of 2016 vs. the 1991-present average was indeed incorrect and the WG agrees that care should be taken when highlighting minor difference between years or long-term averages.

18) Section 4.4.3.1, second paragraph and Figure 4.4.3.1.1. The authors noted that the lagged spawners for NAC have generally been less than half of the conservation limit for NAC (though they recognized that there were regional differences). Does that mean that Canada should not have had any retention fishery for salmon since the 1970s?

The ICES advice has been that there are no mixed-stock fishery options at Greenland or in North America on 2SW salmon because the expected regional 2SW abundances before fishing are insufficient to meet the regional 2SW CLs. ICES does not advise on salmon fisheries in general for Canada as salmon fisheries in Canada exploit 1SW, 2SW, 3SW and repeat spawners, and in some areas of eastern Canada, such as in Newfoundland, the majority of the salmon returns are of 1SW sea age group. The Precautionary Approach policy for Canada does not state that there should be no fisheries when stocks are below the Limit Reference Point, or for NASCO below CLs, but it does state that fisheries losses should be kept to the lowest level possible. The majority of the large salmon harvests in eastern Canada occur in Indigenous peoples fisheries, in Labrador where stocks are doing better, and in Quebec in a limited number of rivers.

19) There are many tables of time-series in this document, and references are often made between the value ob-

This will be done where possible to facilitate the interpretation of tables and text.
served in 2017 and some average of the time-series (usually the ten year average). It might be useful in the NAC table to include the mean and standard deviation of the data in the report itself for the entire dataset (or some period of high return/survival), the ten year mean, and the five year mean. This should help to put the recent results in perspective!
West Greenland

20) Section 5.1.2. The number of phone surveys that were performed this year to help in the assessment of the unreported catch was very low compared to last year (only nine interviews). The reasons for the low participation should be investigated in order to improve the reporting in future years. Perhaps even offering an incentive if necessary.

The WG believes that the issues associated with the phone surveys is a domestic issue and it isn't appropriate for the WG to investigate the reasons for the low participation or to suggest that incentives be offered. The WG did however highlight the importance of this effort and recommended that it be continued in a consistent and robust manner.

21) Section 5.1.3. The exploitation rate for the southern NEAC complex was 0.8% in 2016. The Working Group indicated that this was a slight increase relative to the previous year and five-year mean. As in comment #17, these differences are relatively small compared to the measurement error. Although the Working Group used the word "slight" here, it might simply better to say that they were similar given this uncertainty.

The WG agrees that care should be taken when highlighting minor difference between years or long-term averages.

As the Reviewer notes however, the comment was qualified with "slight" in an attempt to identify the difference while minimizing the magnitude.

22) Section 5.2.2. Second to last paragraph. The Working Group indicated that "The annual variation in the continental representation among divisions within the recent time-series underscores the need to sample multiple NAFO Divisions to achieve the most accurate estimates of the contribution of fish from each continent to the mixed-stock fishery". While this looks like this is the case when Figures 5.2.2.4-5.2.2.6 are examined, it is difficult to gauge the magnitude of the variation of these proportions without providing an error estimate for these estimates. It might be worth presenting these in future.

Prior to 2000, the continent of origin (COO) assignments were conducted via linear discriminant function analysis based on scale characteristics. An error rate of approximately 15% was estimated for this process, however, year-specific error rates are not available. Since 2000, the COO have been genetic based and considered to be 100% accurate. This represents half of the time-series available and the most relevant to the assessment of the contemporary sampling program. Given new historical COO data, efforts are currently underway to compare individual scale-based COO assignments to genetic based COO assignments and results from this effort will be reported back to the WG and considered for inclusion into assessment as appropriate.

23) Figure 5.8.3.1. The plot for the risk analysis for the catch options at West Greenland indicate that the mortality function was introduced without error (and fixed at 3% per month). Given that there are some uncertainties associated with this mortality estimates, it might be better to introduce some errors on this term as well. In the past, my understanding was that it was bound between 2% and 4%.

Uncertainties on M are included in the run reconstruction as either a triangular distribution centred on 0.03 with bounds of 0.02 to 0.04 or as a uniform distribution bounded on 0.02 to 0.04. In the risk analysis, no uncertainty on M is included. Adding uncertainty on M at this stage would increase the uncertainty regarding the 2SW returns to North America and further reduce the chances of attaining the 2SW CLs. At present, there is such a low chance of meeting the 2SW CLs in the majority of areas that the advice would be similar. Incorporating uncertainty on M will be considered for the next cycle of multi-year advice.
# Annex 10: Addressing questions on the EU Data Collection Framework and the ICES Data call

## 10.1

This section addresses ToR b) In relation to EU Member States and their obligations to collect data on salmon fisheries and stocks under the EU Data Collection Framework (DCF) and EU-MAP, and to address European Commission and Regional Coordination Group (RCG) requirements ahead of June 2019.

b) i) Comment on specific data needs of the WG from those specified in the DCF and recommend actions to improve data quality for the work of the WG and in the context of future usage of the RDBES database as the source of ICES data for analyses on salmon;

Note that while the following includes details for countries and regions outside the EU, the EU DCF is only relevant to EU Member States.

With regards to "specific data needs", assessment of Atlantic salmon differs from the approaches commonly adopted for other species, for example in respect of the need for at sea surveys and collection of commercial catch per unit of effort (CPUE) data. Instead, the assessment of salmon is based mainly on data collected on individual river stocks (e.g. catches and counts of returning fish), which are raised and aggregated to provide estimates of the number of fish returning to homewaters for different stock groupings. These estimates are used, in turn, to estimate abundance at earlier points in the life cycle of the fish and to inform the development of catch advice.

The provision of management advice for the mixed-stock fisheries at Faroes and West Greenland is based on assessments of the status of stocks at broad geographic scales. The North American Commission (NAC) is divided into six management units, and the Northeast Atlantic Commission (NEAC) is divided into 19 regions. Assessment of the status of the stocks in these areas is based on estimates of the total abundance - the pre-fishery abundance (PFA) - of different cohorts of salmon at a stage before the distant water fisheries operate. PFA is defined as the cohorts of salmon maturing as one-sea-winter (1SW) and multi-sea-winter (MSW) fish that are alive prior to all the marine fisheries for 1SW salmon (Rago et al., 1993). The catch advice for NEAC is then provided for the Northern (N-NEAC) and Southern (S-NEAC) stock complexes and for the different jurisdictions.

The models to estimate the PFA of salmon from different areas are typically based on the catch in numbers of 1SW and MSW salmon in each jurisdiction or region, which are then raised to take account of estimates of non-reported catches and exploitation rates on the two age groups. In some cases, particularly in NAC area, returns to homewater are estimated by alternative methods, such as counts at fishways and counting fences, or from mark and recapture studies. The estimates of fish numbers returning to homewaters are then raised to take account of the natural mortality (M) between the date that the fish are deemed to recruit to the particular fishery of interest and the midpoint of the timing of the respective national fisheries. A value of 0.03 per month is assumed for M. The date of recruitment of NAC stocks (and thus the PFA date) is taken as 1 August in the second summer at sea because these fish are first exploited in the distant water fishery at West Greenland. However, NEAC stocks recruit to the Faroes fishery during their first sea winter and so PFA is calculated at 1 January (i.e. eight months earlier) for these stocks.

To develop catch advice for international fisheries, the Working Group needs estimates of:

* total catch;

* the proportion of 1SW and MSW salmon in the catch;

* unreported catch for 1SW and MSW salmon; and

* exploitation rates for 1SW and MSW salmon to run the PFA model(s).
The Working Group is developing a Life Cycle Model (LCM) which is likely to replace the current PFA model in developing catch advice in the near future. The LCM requires broadly the same input variables but can be more readily modified to incorporate other covariates (e.g. environmental variables) and will provide greater flexibility in exploring hypotheses. In the context of the DCF, the Working Group identified several data requirements of the new life cycle model:

At the scale of regions (or stock units in the life cycle model):

* Proportion at sea ages (1SW, 2SW, etc, & repeat spawners) of returns and catches;

* Time-series of fecundity for all sea ages and repeat spawners;

* Time-series of smolt ages;

* Information to allocate catches in mixed-stock fisheries.

At the scale of monitored rivers:

* Time-series of egg depositions and smolt abundances, to calculate freshwater survival. The total wetted area accessible to salmon across a region would be required to characterize the freshwater survival at the regional scale.

* Time-series of return rates from monitored rivers.

The Working Group reviewed the provisional table of data requirements developed by the RCG in 2018 to confirm which data types were: (i) used by the Working Group, (ii) planned to be used in the near future, or (iii) could potentially be useful, and (iv) whether or not there were any other data needs that should be added to the table. The Working Group has updated the table (see below) with amendments summarised as follows:

Data on **All fisheries exploiting North Atlantic salmon**: these entries are correct, but to note that the WG requires data on both reported and unreported catches and landings.

Data on **Mixed-stock salmon fisheries**: Amended to allow for any new methods of assignment in relation to contributing stocks, and to apply to all mixed-stock fisheries instead of only that at West Greenland.

Data on **Biological data**:

* the spatial frequency of monitored rivers has been amended; see section ii) below;

* methods have been deleted where the list had been incomplete;

* row 9 is a duplication of row 6;

* the WGNAS uses smolt age composition (row 11), the midpoint of the smolt migration period (row 20) and adult fecundity (row 13) but these are not annually updated at this stage; a periodic check to examine for changes would be useful and it is possible that time-series of such variables could be added as a future improvement to the LCM;

* data on density-dependence in freshwater (row 19) are not used; it might be useful to the future LCM but information would be derived from other sources, e.g. in support of the Water Framework Directive (WFD);

* Though not specified as a single item in the table, data collected on smolt abundance and returning adults are used to generate time-series of estimates of marine return rates (a proxy for marine survival). The PFA models used to provide catch advice use a fixed survival rate at present but any substantial change in the time-series indices might prompt a review of the rate used in estimating PFA. Future assessment models (e.g. the LCM) would be improved by the inclusion of marine survival estimates.

With regards to "Actions to improve data quality", the Working Group quantifies uncertainty in all of its assessments using data provided and ICES takes this information into account when providing advice. However, the Working Group recognizes potential challenges associated with the (i) timeliness and (ii) completeness of data reporting.
Timely provision of national data is challenging because the Working Group has to meet in March/April to prepare the information that ICES requires to develop the advice ahead of the annual NASCO meeting in June. As a consequence, data for the most recent year are always regarded as provisional but are routinely updated the following year.

Not all EU Member States with Atlantic salmon stocks fully report to the Working Group ahead of the annual meeting. The potential effect of no or incomplete reporting on the quality of the Working Group outputs has not been specifically tested but is considered of relatively minor significance since the Member States that do not report, typically support small numbers of stocks. However, the development of an ICES data call during 2019 will formalize the data provision to the Working Group in advance of its 2020 meeting and this, along with standardisation of data report formatting and storage should improve data quality through timely reporting and the availability of new data from other EU Member States.

With regards to "the future use of the RDBES database as a source of ICES data for analyses on salmon", the Working Group is developing approaches to streamline data collection, storage and presentation (facilitated through an ICES data call approach) to facilitate analyses. It is unclear at this stage whether the RDBES will benefit the work of Working Group (the InterCatch database has previously been unsuitable for Atlantic salmon). However, the Working Group is happy to liaise with the ICES DataCentre and the RDBES Steering Group to explore possible opportunities.

b) ii) *Address the following recommendations from the RCG in 2018:*

With regards to "1) Explain and review the selection of national index rivers by the various Member States (noting that "rivers" in the Legal Text is interpreted to represent "waterbodies" (STECF 2017)), and comment on whether these selections are appropriate and sufficient for the WG to perform analyses and provide stock advice", the Working Group notes that the term 'index' river may hold a specific meaning within the context of NASCO and prefers the terminology of 'monitored' river when referring to data collection to reflect that data were available on a regular (usually annual) basis. The assumption would be that all required data would be collected on monitored rivers, as this would minimise the need for sampling the multitude of rivers for separate parameters. However, it may not be practical to collect all data in every monitored river. Selection of rivers to monitor has historically been based on national competencies and according to what each jurisdiction deemed appropriate, affordable and necessary for the management of their salmon stocks.

From a salmon biology perspective, it is useful if monitored rivers are representative of the geographic and demographic variation in a jurisdiction/country. However, proposing that a set proportion of rivers should be established as monitored stocks, such as the one river in 30 suggested by ICES (ICES WKESDCF, 2012), is considered unrealistic by some jurisdictions, particularly those with very large numbers of stocks. There is currently no formal Working Group process for the selection of monitored rivers but the Working Group recommends that selection remains within the competence of individual Member States. The Working Group considers the information provided to it at present on monitored rivers is appropriate and sufficient to meeting its requirements in providing advice to NASCO.

The Working Group recognises the particular practical challenge of data collection in rivers with very small populations of salmon, including those where stocks are recovering, and the need to balance investment in data collection with the relative contribution to national and international assessments.

With regards to "2) Identify the stocks from which salmon variables should be collected (for parr, smolts, and adults), and advise on sampling frequency and effort (sampling level) to collect these variables", the
variables currently collected for the Working Group are provided for stocks defined at the country or regional level within countries. Stock assessment models are performed at the regional/country level and aggregated to the complex level (North Atlantic (NAC)/North East Atlantic (NEAC)). Information is also provided at the level of the monitored river. Information on adult abundance and age composition is required on an annual basis. In contrast, information on adult sex ratio, fecundity and smolt age composition is required periodically, but time-series might be included in the LCM in future. Information on parr abundance (densities) is used for national assessment and management but not required by the Working Group for present purposes (though the developing LCM might also use such data). Annual indices of survival (requiring monitoring/handling of smolts and adults) are also included in ICES advice to NASCO.

Current sampling effort is considered to be adequate for salmon stocks (information provided on total catch or abundance on an annual basis).
<table><caption>Table of Atlantic salmon data requirements in the Data Collection Framework, adapted by the RCG 2018 and annotated by the WGNAS 2019.</caption><thead><tr><th>Data type</th><th>Code</th><th>Parameter (and comment)</th><th>Used by Working Group</th><th>Future planned</th><th>Would be Useful</th></tr></thead><tbody><tr><td colspan="6">All fisheries exploiting North Atlantic salmon</td></tr><tr><td>1</td><td></td><td>Fishing effort.</td><td>X</td><td></td><td></td></tr><tr><td>2</td><td></td><td>Number and weight of all salmon caught separated by fisheries, location, age class. ESTIMATES ARE ALSO REQUIRED FOR UNREPORTED CATCHES.</td><td>X</td><td></td><td></td></tr><tr><td>3</td><td></td><td>Number of salmon released in recreational fisheries.</td><td>X</td><td></td><td></td></tr><tr><td>4</td><td></td><td>Weight of ranched salmon caught.</td><td>X</td><td></td><td></td></tr><tr><td colspan="6">Mixed-stock salmon fisheries</td></tr><tr><td>5</td><td></td><td>Assignment to jurisdiction/region/river of origin of adult salmon, at least once every 5 years.</td><td>X</td><td></td><td></td></tr><tr><td colspan="6">Biological data</td></tr><tr><td>6</td><td></td><td>Counts (or estimates) of returning adults for at least one river stock in 30, or as based on national assessment requirements.</td><td></td><td>X</td><td></td></tr><tr><td>7</td><td></td><td>Sea age composition of returning adults.</td><td>X</td><td></td><td></td></tr><tr><td>8</td><td></td><td>Sex ratios of returning adults by sea age at a national/regional level every 5 years (should be in new DC MAP).</td><td>X</td><td></td><td></td></tr><tr><td>9</td><td></td><td>Annual counts of ascending adults on index rivers, as agreed by ICES (duplication of row 6).</td><td></td><td>X</td><td></td></tr><tr><td>10</td><td></td><td>Annual smolts counts on monitored rivers.</td><td></td><td>X</td><td></td></tr><tr><td>11</td><td></td><td>Annual age composition of smolts.</td><td></td><td>X</td><td></td></tr><tr><td>12</td><td></td><td>Surveys for juvenile salmonids to assess stock compliance (national assessments) and Water Framework Directive (WFD) requirements.</td><td></td><td>X</td><td></td></tr></tbody></table>
<table><thead><tr><td>Data type</td><td>Code</td><td>Parameter (and comment)</td><td>Used by Working Group</td><td>Future planned</td><td>Would be Useful</td></tr></thead><tbody><tr><td>13</td><td></td><td>Fecundity of returning adults by sea age at a national/regional level every 5 years (should be in new DC MAP).</td><td>X</td><td></td><td></td></tr><tr><td>14</td><td></td><td>Annual fry/parr densities on index rivers, as agreed by ICES - required for WFD not for WGNAS assessments.</td><td></td><td></td><td>X</td></tr><tr><td>15</td><td></td><td>Egg to smolt survival time-series on index rivers - potential future incorporation in LCM.</td><td></td><td></td><td>X</td></tr><tr><td>16</td><td></td><td>Annual estimates of sex ratios of adults on index rivers - potential future incorporation in LCM.</td><td></td><td></td><td>X</td></tr><tr><td>17</td><td></td><td>Annual estimates of sex ratios of smolts on index rivers - potential future incorporation in LCM.</td><td></td><td></td><td>X</td></tr><tr><td>18</td><td></td><td>Disease and parasite monitoring in wild fish (e.g. BKD, ISA, <i>Gyrodactylus salaris</i>, sea lice, etc.).</td><td></td><td></td><td>X</td></tr><tr><td>19</td><td></td><td>Modelling the density-dependence in the freshwater phase - potential future incorporation in LCM.</td><td></td><td></td><td>X</td></tr><tr><td>20</td><td></td><td>Midpoint of smolt migration period.</td><td>X</td><td></td><td></td></tr><tr><td>21</td><td></td><td>Estimates of 'smolt to returning adult' return rates ('marine survival') collected annually on monitored rivers, collected at suitable spatial frequency to be decided at country level.</td><td>X</td><td></td><td></td></tr></tbody></table>
## 10.2 Data Call for NASCO requested information used by the Working Group

The terms of reference from NASCO defines the work of the ICES WGNAS (the Working Group). Other than for the catch data, the terms of reference are not specific as to what type of information would be used by ICES to develop the status of stocks.

### Process for collating catch data

The request for catch data is specific as to the type of information to be compiled:

* provide an overview of salmon catches and landings by country, including unreported catches and catch and release, and production of farmed and ranched Atlantic salmon in 2018¹,

and in each Commission Area, the request includes:

* describe the key events of the 2018 fisheries³ (ToR 2.1, 3.1, 4.1)

with specifics provided in footnotes 1 and 3:

1. With regard to question 1.1, for the estimates of unreported catch the information provided should, where possible, indicate the location of the unreported catch in the following categories: in-river; estuarine; and coastal. Numbers of salmon caught and released in recreational fisheries should be provided;

3. In the responses to questions 2.1, 3.1 and 4.1, ICES is asked to provide details of catch, gear, effort, composition and origin of the catch and rates of exploitation. For homewater fisheries, the information provided should indicate the location of the catch in the following categories: in-river; estuarine; and coastal. Information on any other sources of fishing mortality for salmon is also requested (For 4.1, if any new phone surveys are conducted, ICES should review the results and advise on the appropriateness for incorporating resulting estimates of unreported catch into the assessment process).

The catch data are an important legacy dataset, with catches dating from 1960. The large number of data tables in the Working Group report are developed in Excel spreadsheets and summarize the compiled data for the report. Because the tables of catches are reproduced in their entirety in every ICES report, there is no risk of losing those data. However, in their configuration, they are not readily accessible for analyses. Some of the tables contain duplicate data entries or are a compilation of other tables, which can lead to errors as each are entered separately.

It is proposed that the catch data currently contained in several tables within the report be transferred to a more formal database structure that would facilitate the data entry, query, analyses and archiving. The database structure could initially be relatively simple, but any database requires adherence to data standards and nomenclature to be effective. Once the data are compiled in a standard format, scripts can be written to extract the information needed by ICES in response to the NASCO terms of reference.

For example, it would be possible to enter the data for these tables in one table structure. The database table entry would be done in Excel using pull-down lists to ensure nomenclature standards. One worksheet tab would be used to enter the current year's data and when complete, the data would be copied to the master file of the time-series which would also be saved in an appropriate format for input to R for developing summary tables and providing opportunities for
further analyses. The users would access the spreadsheet for updating and analyses on the Working Group SharePoint site. A data call would be sent to national contacts in, for example early March, to complete the data for the current year, prior to the meeting of the Working Group. A draft template of the data call text has been prepared using the WGBAST text and is provided at the end of this section.

Over the current year, a subgroup of the Working Group members will be formed to develop the catch data table entries, the data formats and nomenclature, to develop the code to generate the historical time-series tables and compilations requested by NASCO, and to finalise the text of the data call (for example, see Section 8.3 below). The subgroup would work by correspondence with a working database, entry format, and analysis scripts to be delivered for the Working Group in early January.

The subgroup would also consider other data used by the Working Group which would benefit from a structured data entry and compilation approach. Other data that could be considered for compilation into a database such as, data required to run the life cycle model for catch advice, effort, CPUE, etc.

## 10.3 DRAFT Data call: Data submission for ICES selected stocks under WGNAS 2020

### 1. Scope of the Data call

ICES Member Countries are requested to provide the following for salmon (*Salmo salar*) in the North Atlantic:

* data on salmon catches and landings by country, by commercial and recreational, including unreported catches, and catch and release, and in 2019; and

* data on production of farmed and ranched Atlantic salmon in 2019.

### 2. Rationale

The data requested will be used by the Working Group on North Atlantic Salmon (WGNAS), which is involved in the provision of ICES advice on fishing opportunities for salmon in the Atlantic.

### 3. Legal framework

The legal framework for the data call is as follows:

* Article 15 of the NASCO Convention, with reference to obligations of Parties to provide to the Council the available catch statistics, other statistics, and any other available scientific information that the Council requires for the purposes of the Convention.

* Regulation (EU) No 2017/1004 on the establishment of a Union framework for the collection, management and use of data in the fisheries sector and support for scientific advice regarding the Common Fisheries Policy.

* Commission Implementing Decision (EU) 2016/1251 of 12 July 2016 adopting a multianual Union programme for the collection, management and use of data in the fisheries and aquaculture sectors for the period 2017-2019.

* Regulation (EU) No 1380/2013 on the Common Fisheries Policy, amending Council Regulations (EC) No 1954/2003 and (EC) No 1224/2009.

* This data call also follows the principles of personal data protection as referred to in paragraph (9) of the preamble in Regulation (EU) 2017/1004 and repealing Council Regulation (EC) No 199/2008.
## 4. Deadlines

ICES requests that the data be delivered by the **Date Month** 2020, to provide enough time for additional quality assurance prior to the launch of analyses and the working group meeting.

## 5. Data to report

### 5.1 Geographic and temporal scope

Data on landings (Section 5.2.1.) should be reported by **Country, Stock Unit, year**. Data should be reported from **year** to 2019. Data for 2019 can be marked as provisional, where necessary. The geographical scope for both species is the North Atlantic.

<table><caption>Table 1. List of species.</caption><thead><tr><td>Common name</td><td>Code</td><td>Scientific name</td></tr></thead><tbody><tr><td>Salmon</td><td>SAL</td><td>Salmo salar</td></tr></tbody></table>

### 5.2 Data types

#### 5.2.1. Commercial catches and landings, 2019

* Commercial landings (in numbers and **kg** round fresh weight) by Country, sea age/size class (sea winters or smallvs.large salmon), catch location (coastal, estuarine, riverine) and reported or unreported.

* Fish released back alive (in number) by Country.

#### 5.2.2. Recreational fisheries data, 2019

* Recreational landings (in number and **kg**) by Country, sea age/size class (sea winters or smallvs.large salmon), catch location (coastal, estuarine, riverine), and for reported and unreported catches.

* Fish released back alive (in number) by Country.

#### 5.2.3. Production of farmed and ranched salmon, 2019

* Amounts (in number and tonnes) by Country.

## 6. Data submission

Data should be submitted to data.call@ices.dk using the attached template (Annex 1). The template contains descriptions of codes to be used with some examples.

Files for data.call@ices.dk should be submitted in as few emails as possible. The file name must include working group, stock unit, country, and data type references as specified below. Both email subject and file name must include working group, stock unit, and country references.

"20XX DC [expert group] [country] [fishing year]" (example: 2020 WGNAS FI 2019)

## 7. Contact information

For support concerning details on data deliveries, contact WGNAS chair Martha Robertson (martha.robertson@dfo-mpo.gc.ca) and WGNAS expert Name name (email).

For support concerning any data call issues, please contact the Advisory Department (Ad-vice@ices.dk).

For support concerning other data-submission issues, please contact: data.call@ices.dk.