<table><thead><tr><th rowspan="2">Year</th><th colspan="2">Canada (4)</th><th colspan="2">USA</th><th colspan="2">Iceland</th><th colspan="2">Russia (1)</th><th colspan="2">UK (England & Wales)</th><th colspan="2">UK (Scotland)(5)</th><th colspan="2">Ireland</th><th colspan="2">UK (N. Ireland) (2)</th><th colspan="2">Denmark</th><th colspan="2">Sweden</th><th colspan="2">Norway (3)</th></tr><tr><th>Total</th><th>% of total rod catch</th><th>Total</th><th>% of total rod catch</th><th>Total</th><th>% of total rod catch</th><th>Total</th><th>% of total rod catch</th><th>Total</th><th>% of total rod catch</th><th>Total</th><th>% of total rod catch</th><th>Total</th><th>% of total rod catch</th><th>Total</th><th>% of total rod catch</th><th>Total</th><th>% of total rod catch</th><th>Total</th><th>% of total rod catch</th><th>Total</th><th>% of total rod catch</th></tr></thead><tbody><tr><td colspan="21">Mean</td></tr><tr><td>2015-2019</td><td>61674</td><td>70</td><td>0</td><td>-</td><td>19785</td><td>42</td><td>10298</td><td>70</td><td>8819</td><td>84</td><td>44313</td><td>90</td><td>10384</td><td>43</td><td>1753</td><td>87</td><td>3950</td><td>72</td><td>567</td><td>18</td><td>23951</td><td>21</td></tr><tr><td colspan="21">% change; recent year relative to mean</td></tr><tr><td></td><td>-3</td><td>3</td><td>-</td><td>-</td><td>8</td><td>20</td><td>-8</td><td>-7</td><td>21</td><td>11</td><td>-1</td><td>1</td><td>28</td><td>2</td><td>175</td><td>5</td><td>11</td><td>-4</td><td>4</td><td>-12</td><td>20</td><td>13</td></tr></tbody></table>

Key:

1. Since 2009 data are either unavailable or incomplete, however catch and release is understood to have remained at similar high levels as before.

2. Data for 2006-2009, 2014 are for the Department of Culture, Arts and Leisure area only; the figures from 2010 are a total for UK (N. Ireland). Data for 2015, 2016 and 2017 are for R. Bush only.

3. The statistics were collected on a voluntary basis, the numbers reported must be viewed as a minimum.

4. Released fish in the kelt fishery of New Brunswick are not included in the totals for Canada.

5. Scotland 2020 data not available at time of printing, 2019 data provided as Provisional.
<table><caption>Table 2.1.3.1. Estimates of unreported catches by various methods in tonnes within national EEZs in the Northeast Atlantic, North American and West Greenland Commissions of NASCO, 1987–2020.</caption><thead><tr><th>Year</th><th>Northeast Atlantic</th><th>North America</th><th>West Greenland</th><th>Total</th></tr></thead><tbody><tr><td>1987</td><td>2554</td><td>234</td><td>-</td><td>2788</td></tr><tr><td>1988</td><td>3087</td><td>161</td><td>-</td><td>3248</td></tr><tr><td>1989</td><td>2103</td><td>174</td><td>-</td><td>2277</td></tr><tr><td>1990</td><td>1779</td><td>111</td><td>-</td><td>1890</td></tr><tr><td>1991</td><td>1555</td><td>127</td><td>-</td><td>1682</td></tr><tr><td>1992</td><td>1825</td><td>137</td><td>-</td><td>1962</td></tr><tr><td>1993</td><td>1471</td><td>161</td><td>&lt; 12</td><td>1644</td></tr><tr><td>1994</td><td>1157</td><td>107</td><td>&lt; 12</td><td>1276</td></tr><tr><td>1995</td><td>942</td><td>98</td><td>20</td><td>1060</td></tr><tr><td>1996</td><td>947</td><td>156</td><td>20</td><td>1123</td></tr><tr><td>1997</td><td>732</td><td>90</td><td>5</td><td>827</td></tr><tr><td>1998</td><td>1108</td><td>91</td><td>11</td><td>1210</td></tr><tr><td>1999</td><td>887</td><td>133</td><td>12.5</td><td>1032</td></tr><tr><td>2000</td><td>1135</td><td>124</td><td>10</td><td>1269</td></tr><tr><td>2001</td><td>1089</td><td>81</td><td>10</td><td>1180</td></tr><tr><td>2002</td><td>946</td><td>83</td><td>10</td><td>1039</td></tr><tr><td>2003</td><td>719</td><td>118</td><td>10</td><td>847</td></tr><tr><td>2004</td><td>575</td><td>101</td><td>10</td><td>686</td></tr><tr><td>2005</td><td>605</td><td>85</td><td>10</td><td>700</td></tr><tr><td>2006</td><td>604</td><td>56</td><td>10</td><td>670</td></tr><tr><td>2007</td><td>465</td><td>-</td><td>10</td><td>475</td></tr><tr><td>2008</td><td>433</td><td>-</td><td>10</td><td>443</td></tr><tr><td>2009</td><td>317</td><td>16</td><td>10</td><td>343</td></tr><tr><td>2010</td><td>357</td><td>26</td><td>10</td><td>393</td></tr><tr><td>2011</td><td>382</td><td>29</td><td>10</td><td>421</td></tr><tr><td>2012</td><td>363</td><td>31</td><td>10</td><td>403</td></tr><tr><td>2013</td><td>272</td><td>24</td><td>10</td><td>306</td></tr><tr><td>2014</td><td>256</td><td>21</td><td>10</td><td>287</td></tr></tbody></table>
<table><thead><tr><th>Year</th><th>Northeast Atlantic</th><th>North America</th><th>West Greenland</th><th>Total</th></tr></thead><tbody><tr><td>2015</td><td>298</td><td>17</td><td>10</td><td>325</td></tr><tr><td>2016</td><td>298</td><td>27</td><td>10</td><td>335</td></tr><tr><td>2017</td><td>318</td><td>25</td><td>10</td><td>353</td></tr><tr><td>2018</td><td>277</td><td>24</td><td>10</td><td>311</td></tr><tr><td>2019</td><td>237</td><td>12</td><td>10</td><td>259</td></tr><tr><td>2020</td><td>239</td><td>27</td><td>10</td><td>276</td></tr><tr><td>Mean</td><td></td><td></td><td></td><td></td></tr><tr><td>2015–2019</td><td>285</td><td>21</td><td>10</td><td>317</td></tr></tbody></table>

Notes:

No estimates available for Canada in 2007–2008 and estimates for 2009, 2010 and 2019 are incomplete.

No estimates have been available for Russia since 2008.

Unreported catch estimates are not provided for Spain or St Pierre & Miquelon.

No estimates were available for France for 2018.
<table><caption>Table 2.1.3.2. Estimates of unreported catches by various methods in tonnes by country within national EEZs in the Northeast Atlantic, North American and West Greenland Commissions of NASCO for 2020.</caption><thead><tr><th>Commission Area</th><th>Country</th><th>Unreported Catch (t)</th><th>Unreported as % of Total North Atlantic Catch (Unreported + Reported)</th><th>Unreported as % of National Catch (Unreported + Reported)</th></tr></thead><tbody><tr><td>NEAC</td><td>Denmark</td><td>1</td><td>0.1</td><td>12</td></tr><tr><td>NEAC</td><td>Finland</td><td>2</td><td>0.1</td><td>19</td></tr><tr><td>NEAC</td><td>Iceland</td><td>1</td><td>0.1</td><td>2</td></tr><tr><td>NEAC</td><td>Ireland</td><td>6</td><td>0.5</td><td>9</td></tr><tr><td>NEAC</td><td>Norway</td><td>226</td><td>19.8</td><td>30</td></tr><tr><td>NEAC</td><td>Sweden</td><td>1</td><td>0.1</td><td>9</td></tr><tr><td>NEAC</td><td>UK (E &amp; W)</td><td>0</td><td>0.0</td><td>9</td></tr><tr><td>NEAC</td><td>UK (N. Ireland)</td><td>0.3</td><td>0.0</td><td>22</td></tr><tr><td>NEAC</td><td>UK (Scotland)**</td><td>1</td><td>0.1</td><td>9</td></tr><tr><td>NAC</td><td>USA</td><td>0</td><td>0.0</td><td>0</td></tr><tr><td>NAC</td><td>Canada</td><td>27</td><td>2.4</td><td>21</td></tr><tr><td>WGC</td><td>Greenland</td><td>10</td><td>0.9</td><td>24</td></tr><tr><td colspan="2">Total Unreported Catch*</td><td>276</td><td>24.2</td><td></td></tr><tr><td colspan="2">Total Reported Catch of North Atlantic Salmon</td><td>916</td><td></td><td></td></tr></tbody></table>

<footnote>* No unreported catch estimates available for France, Russia, Saint Pierre and Miquelon, or Spain in 2020.</footnote>

<footnote>** No Scotland 2020 data at time of printing, 2019 data input as Provisional.</footnote>
<table><caption>Table 2.2.1.1. Production of farmed salmon in the North Atlantic area and in areas other than the North Atlantic (in tonnes round fresh weight), 1980–2020.</caption><thead><tr><th rowspan="2">Year</th><th colspan="10">North Atlantic Area</th><th colspan="8">Outside the North Atlantic Area</th><th rowspan="2">World-wide Total</th></tr><tr><th>Norway</th><th>UK (Scotland)</th><th>Faroes</th><th>Canada</th><th>Ireland</th><th>USA</th><th>Iceland</th><th>UK (N. Ireland)</th><th>Russia</th><th>Spain</th><th>Total</th><th>Chile</th><th>West Coast USA</th><th>West Coast Canada</th><th>Australia</th><th>Turkey</th><th>Total</th></tr></thead><tbody><tr><td>1980</td><td>4153</td><td>598</td><td>0</td><td>11</td><td>21</td><td>0</td><td>0</td><td>0</td><td>0</td><td>-</td><td>4783</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>4783</td></tr><tr><td>1981</td><td>8422</td><td>1133</td><td>0</td><td>21</td><td>35</td><td>0</td><td>0</td><td>0</td><td>0</td><td>-</td><td>9611</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>9611</td></tr><tr><td>1982</td><td>10 266</td><td>2152</td><td>70</td><td>38</td><td>100</td><td>0</td><td>0</td><td>0</td><td>0</td><td>-</td><td>12 626</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>12 626</td></tr><tr><td>1983</td><td>17 000</td><td>2536</td><td>110</td><td>69</td><td>257</td><td>0</td><td>0</td><td>0</td><td>0</td><td>-</td><td>19 972</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>19 972</td></tr><tr><td>1984</td><td>22 300</td><td>3912</td><td>120</td><td>227</td><td>385</td><td>0</td><td>0</td><td>0</td><td>0</td><td>-</td><td>26 944</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>26 944</td></tr><tr><td>1985</td><td>28 655</td><td>6921</td><td>470</td><td>359</td><td>700</td><td>0</td><td>91</td><td>0</td><td>0</td><td>-</td><td>37 196</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>37 196</td></tr><tr><td>1986</td><td>45 675</td><td>10 337</td><td>1370</td><td>672</td><td>1215</td><td>0</td><td>123</td><td>0</td><td>0</td><td>-</td><td>59 392</td><td>0</td><td>11</td><td>0</td><td>10</td><td>0</td><td>0</td><td>59 392</td></tr><tr><td>1987</td><td>47 417</td><td>12 721</td><td>3530</td><td>1334</td><td>2232</td><td>365</td><td>490</td><td>0</td><td>0</td><td>-</td><td>68 089</td><td>41</td><td>196</td><td>0</td><td>62</td><td>0</td><td>299</td><td>68 388</td></tr><tr><td>1988</td><td>80 371</td><td>17 951</td><td>3300</td><td>3542</td><td>4700</td><td>455</td><td>1053</td><td>0</td><td>0</td><td>-</td><td>111 372</td><td>165</td><td>925</td><td>0</td><td>240</td><td>0</td><td>1330</td><td>112 702</td></tr><tr><td>1989</td><td>124 000</td><td>28 553</td><td>8000</td><td>5865</td><td>5063</td><td>905</td><td>1480</td><td>0</td><td>0</td><td>-</td><td>173 866</td><td>1860</td><td>1122</td><td>1000</td><td>1750</td><td>0</td><td>5732</td><td>179 598</td></tr><tr><td>1990</td><td>165 000</td><td>32 351</td><td>13 000</td><td>7810</td><td>5983</td><td>2086</td><td>2800</td><td>&lt;100</td><td>5</td><td>-</td><td>229 035</td><td>9478</td><td>696</td><td>1700</td><td>1750</td><td>300</td><td>13 924</td><td>242 959</td></tr><tr><td>1991</td><td>155 000</td><td>40 593</td><td>15 000</td><td>9395</td><td>9483</td><td>4560</td><td>2680</td><td>100</td><td>0</td><td>-</td><td>236 811</td><td>14 957</td><td>1879</td><td>3500</td><td>2653</td><td>1500</td><td>24 489</td><td>261 300</td></tr><tr><td>1992</td><td>140 000</td><td>36 101</td><td>17 000</td><td>10 380</td><td>9231</td><td>5850</td><td>2100</td><td>200</td><td>0</td><td>-</td><td>220 862</td><td>23 715</td><td>4238</td><td>6600</td><td>3300</td><td>680</td><td>38 533</td><td>259 395</td></tr><tr><td>1993</td><td>170 000</td><td>48 691</td><td>16 000</td><td>11 115</td><td>12 366</td><td>6755</td><td>2348</td><td>&lt;100</td><td>0</td><td>-</td><td>267 275</td><td>29 180</td><td>4254</td><td>12 000</td><td>3500</td><td>791</td><td>49 725</td><td>317 000</td></tr><tr><td>1994</td><td>204 686</td><td>64 066</td><td>14 789</td><td>12 441</td><td>11 616</td><td>6130</td><td>2588</td><td>&lt;100</td><td>0</td><td>-</td><td>316 316</td><td>34 175</td><td>4834</td><td>16 100</td><td>4000</td><td>434</td><td>59 543</td><td>375 859</td></tr><tr><td>1995</td><td>261 522</td><td>70 060</td><td>9000</td><td>12 550</td><td>11 811</td><td>10 020</td><td>2880</td><td>259</td><td>0</td><td>-</td><td>378 102</td><td>54 250</td><td>4868</td><td>16 000</td><td>6192</td><td>654</td><td>81 964</td><td>460 066</td></tr><tr><td>1996</td><td>297 557</td><td>83 121</td><td>18 600</td><td>17 715</td><td>14 025</td><td>10 010</td><td>2772</td><td>338</td><td>0</td><td>-</td><td>444 138</td><td>77 327</td><td>5488</td><td>17 000</td><td>7647</td><td>193</td><td>107 655</td><td>551 793</td></tr></tbody></table>
<table><thead><tr><th rowspan="2">Year</th><th colspan="10">North Atlantic Area</th><th colspan="10">Outside the North Atlantic Area</th></tr><tr><th>Norway</th><th>UK (Scotland)</th><th>Faroes</th><th>Canada</th><th>Ireland</th><th>USA</th><th>Iceland</th><th>UK (N. Ireland)</th><th>Russia</th><th>Spain</th><th>Total</th><th>Chile</th><th>West Coast USA</th><th>West Coast Canada</th><th>Australia</th><th>Turkey</th><th>Total</th><th>World-wide Total</th></tr></thead><tbody><tr><td>1997</td><td>332 581</td><td>99 197</td><td>22 205</td><td>19 354</td><td>14 025</td><td>13 222</td><td>2554</td><td>225</td><td>0</td><td>-</td><td>503 363</td><td>96 675</td><td>5784</td><td>28 751</td><td>7648</td><td>50</td><td>138 908</td><td>642 271</td></tr><tr><td>1998</td><td>361 879</td><td>110 784</td><td>20 362</td><td>16 418</td><td>14 860</td><td>13 222</td><td>2686</td><td>114</td><td>0</td><td>-</td><td>540 325</td><td>107 066</td><td>2595</td><td>33 100</td><td>7069</td><td>40</td><td>149 870</td><td>690 195</td></tr><tr><td>1999</td><td>425 154</td><td>126 686</td><td>37 000</td><td>23 370</td><td>18 000</td><td>12 246</td><td>2900</td><td>234</td><td>0</td><td>-</td><td>645 590</td><td>103 242</td><td>5512</td><td>38 800</td><td>9195</td><td>0</td><td>156 749</td><td>802 339</td></tr><tr><td>2000</td><td>440 861</td><td>128 959</td><td>32 000</td><td>33 195</td><td>17 648</td><td>16 461</td><td>2600</td><td>250</td><td>0</td><td>-</td><td>671 974</td><td>166 897</td><td>6049</td><td>49 000</td><td>10 907</td><td>0</td><td>232 853</td><td>904 827</td></tr><tr><td>2001</td><td>436 103</td><td>138 519</td><td>46 014</td><td>36 514</td><td>23 312</td><td>13 202</td><td>2645</td><td>-</td><td>0</td><td>-</td><td>696 309</td><td>253 850</td><td>7574</td><td>68 000</td><td>12 724</td><td>0</td><td>342 148</td><td>1 038 457</td></tr><tr><td>2002</td><td>462 495</td><td>145 609</td><td>45 150</td><td>40 851</td><td>22 294</td><td>6798</td><td>1471</td><td>-</td><td>0</td><td>-</td><td>724 668</td><td>265 726</td><td>5935</td><td>84 200</td><td>14 356</td><td>0</td><td>370 217</td><td>1 094 885</td></tr><tr><td>2003</td><td>509 544</td><td>176 596</td><td>52 526</td><td>38 680</td><td>16 347</td><td>6007</td><td>3710</td><td>-</td><td>300</td><td>-</td><td>803 710</td><td>280 301</td><td>10 307</td><td>65 411</td><td>15 208</td><td>0</td><td>371 227</td><td>1 174 937</td></tr><tr><td>2004</td><td>563 914</td><td>158 099</td><td>40 492</td><td>37 280</td><td>14 067</td><td>8515</td><td>6620</td><td>-</td><td>203</td><td>-</td><td>829 190</td><td>348 983</td><td>6645</td><td>55 646</td><td>16 476</td><td>0</td><td>427 750</td><td>1 256 940</td></tr><tr><td>2005</td><td>586 512</td><td>129 588</td><td>18 962</td><td>45 891</td><td>13 764</td><td>5263</td><td>6300</td><td>-</td><td>204</td><td>-</td><td>806 484</td><td>385 779</td><td>6110</td><td>63 369</td><td>16 780</td><td>0</td><td>472 038</td><td>1 278 522</td></tr><tr><td>2006</td><td>629 888</td><td>131 847</td><td>11 905</td><td>47 880</td><td>11 174</td><td>4674</td><td>5745</td><td>-</td><td>229</td><td>-</td><td>843 342</td><td>376 476</td><td>5811</td><td>70 181</td><td>20 710</td><td>0</td><td>473 178</td><td>1 316 520</td></tr><tr><td>2007</td><td>744 222</td><td>129 930</td><td>22 305</td><td>36 368</td><td>9923</td><td>2715</td><td>1158</td><td>-</td><td>111</td><td>-</td><td>946 732</td><td>331 042</td><td>7117</td><td>70 998</td><td>25 336</td><td>0</td><td>434 493</td><td>1 381 225</td></tr><tr><td>2008</td><td>737 694</td><td>128 606</td><td>36 000</td><td>39 687</td><td>9217</td><td>9014</td><td>330</td><td>-</td><td>51</td><td>-</td><td>960 599</td><td>388 847</td><td>7699</td><td>73 265</td><td>25 737</td><td>0</td><td>495 548</td><td>1 456 147</td></tr><tr><td>2009</td><td>862 908</td><td>144 247</td><td>51 500</td><td>43 101</td><td>12 210</td><td>6028</td><td>742</td><td>-</td><td>2126</td><td>-</td><td>1 122 862</td><td>233 308</td><td>7923</td><td>68 662</td><td>29 893</td><td>0</td><td>339 786</td><td>1 462 648</td></tr><tr><td>2010</td><td>939 575</td><td>154 164</td><td>45 391</td><td>43 612</td><td>15 691</td><td>11 127</td><td>1068</td><td>-</td><td>4500</td><td>-</td><td>1 215 128</td><td>123 233</td><td>8408</td><td>70 831</td><td>31 807</td><td>0</td><td>234 279</td><td>1 449 407</td></tr><tr><td>2011</td><td>1 065 974</td><td>158 018</td><td>60 967</td><td>41 448</td><td>12 196</td><td>6031</td><td>1083</td><td>-</td><td>8500</td><td>-</td><td>1 354 217</td><td>264 349</td><td>7467</td><td>83 144</td><td>36 662</td><td>0</td><td>391 622</td><td>1 745 839</td></tr><tr><td>2012</td><td>1 232 095</td><td>162 223</td><td>76 596</td><td>52 951</td><td>12 440</td><td>-</td><td>2923</td><td>-</td><td>8754</td><td>-</td><td>1 547 982</td><td>399 678</td><td>8696</td><td>79 981</td><td>43 982</td><td>0</td><td>532 337</td><td>2 080 319</td></tr><tr><td>2013</td><td>1 168 324</td><td>163 234</td><td>77 184</td><td>47 649</td><td>9125</td><td>-</td><td>3018</td><td>-</td><td>16 097</td><td>-</td><td>1 484 631</td><td>492 329</td><td>6834</td><td>74 673</td><td>42 776</td><td>0</td><td>616 612</td><td>2 101 243</td></tr><tr><td>2014</td><td>1 258 356</td><td>179 022</td><td>86 490</td><td>29 988</td><td>9368</td><td>-</td><td>3965</td><td>-</td><td>18 675</td><td>-</td><td>1 585 864</td><td>644 459</td><td>6368</td><td>54 971</td><td>41 591</td><td>0</td><td>747 389</td><td>2 333 253</td></tr></tbody></table>
<table><thead><tr><th rowspan="2">Year</th><th colspan="10">North Atlantic Area</th><th colspan="10">Outside the North Atlantic Area</th></tr><tr><th>Norway</th><th>UK (Scotland)</th><th>Faroes</th><th>Canada</th><th>Ireland</th><th>USA</th><th>Iceland</th><th>UK (N. Ireland)</th><th>Russia</th><th>Spain</th><th>Total</th><th>Chile</th><th>West Coast USA</th><th>West Coast Canada</th><th>Australia</th><th>Turkey</th><th>Total</th><th>World-wide Total</th></tr></thead><tbody><tr><td>2015</td><td>1 303 346</td><td>171 722</td><td>80 629</td><td>48 684</td><td>13 116</td><td>-</td><td>3260</td><td>-</td><td>3232</td><td>8</td><td>1 623 997</td><td>608 546</td><td>10 431</td><td>92 926</td><td>48 331</td><td>0</td><td>760 234</td><td>2 384 231</td></tr><tr><td>2016</td><td>1 233 619</td><td>162 817</td><td>83 291</td><td>33 011</td><td>16 300</td><td>-</td><td>8420</td><td>-</td><td>12 857</td><td>5</td><td>1 550 320</td><td>532 225</td><td>8017</td><td>90 511</td><td>56 115</td><td>0</td><td>686 868</td><td>2 237 188</td></tr><tr><td>2017</td><td>1 237 762</td><td>189 707</td><td>71 172</td><td>34 945</td><td>19 305</td><td>-</td><td>11 265</td><td>-</td><td>13 016</td><td>25</td><td>1 577 197</td><td>614 180</td><td>6520</td><td>85 608</td><td>52 580</td><td>0</td><td>758 888</td><td>2 336 085</td></tr><tr><td>2018</td><td>1 278 596</td><td>156 025</td><td>78 973</td><td>36 174</td><td>12 200</td><td>-</td><td>13 448</td><td>-</td><td>20 216</td><td>-</td><td>1 595 632</td><td>660 645</td><td>8326</td><td>87 010</td><td>61 227</td><td>0</td><td>817 208</td><td>2 412 840</td></tr><tr><td>2019</td><td>1 361 747</td><td>203 881</td><td>94 993</td><td>43 923</td><td>19 300</td><td>-</td><td>26 957</td><td>-</td><td>20 734</td><td>12</td><td>1 771 547</td><td>660 645</td><td>-</td><td>88 874</td><td>61 227</td><td>0</td><td>810 746</td><td>2 582 293</td></tr><tr><td>2020</td><td>1 393 108</td><td>207 630</td><td>88 961</td><td>43 923</td><td>14 500</td><td>-</td><td>34 341</td><td>-</td><td>38 889</td><td>-</td><td>1 821 352</td><td>660 645</td><td>5552</td><td>88 874</td><td>61 227</td><td>0</td><td>816 298</td><td>2 637 650</td></tr><tr><td>Mean</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></td><td></td><td></td><td></td></tr><tr><td>2015-2019</td><td>1 283 014</td><td>176 830</td><td>84 943</td><td>39 347</td><td>16 044</td><td>-</td><td>12 670</td><td>-</td><td>14 011</td><td>12</td><td>1 626 870</td><td>615 134</td><td>8324</td><td>88 986</td><td>55 896</td><td>0</td><td>766 675</td><td>2 393 545</td></tr><tr><td>% change; recent year relative to mean</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></td><td></td><td></td><td></td></tr><tr><td></td><td>9</td><td>17</td><td>5</td><td>12</td><td>-10</td><td>-</td><td>171</td><td>-</td><td>178</td><td>-</td><td>12</td><td>7</td><td>-33</td><td>0</td><td>10</td><td>-</td><td>6</td><td>10</td></tr></tbody></table>

Notes:

- Data for 2020 are provisional for many countries.

- Where production figures were not available for 2020, values for the most recent year were assumed.

- West Coast USA = Washington State.

- West Coast Canada = British Columbia.

- Australia = Tasmania.

- Source of production figures for non-Atlantic areas: http://www.fao.org/fishery/statistics/global-aquaculture-production/en, 2018 most recent data

- Data for UK (N. Ireland) since 2001 and data for East coast USA since 2012 are not publicly available.

- Data for Spain first provided in 2019, no data reported for 2020.
<table><caption>Table 2.2.2.1. Production of ranched salmon in the North Atlantic (tonnes round fresh weight), 1980–2020.</caption><thead><tr><th>Year</th><th>Iceland <sup>(1)</sup></th><th>Ireland <sup>(2)</sup></th><th>UK (N. Ireland)<br>River Bush <sup>(2,3)</sup></th><th>Sweden <sup>(2)</sup></th><th>Norway<br>various facilities <sup>(2)</sup></th><th>Total production</th></tr></thead><tbody><tr><td>1980</td><td>8.0</td><td></td><td></td><td>0.8</td><td></td><td>9</td></tr><tr><td>1981</td><td>16.0</td><td></td><td></td><td>0.9</td><td></td><td>17</td></tr><tr><td>1982</td><td>17.0</td><td></td><td></td><td>0.6</td><td></td><td>18</td></tr><tr><td>1983</td><td>32.0</td><td></td><td></td><td>0.7</td><td></td><td>33</td></tr><tr><td>1984</td><td>20.0</td><td></td><td></td><td>1.0</td><td></td><td>21</td></tr><tr><td>1985</td><td>55.0</td><td>16.0</td><td>17.0</td><td>0.9</td><td></td><td>89</td></tr><tr><td>1986</td><td>59.0</td><td>14.3</td><td>22.0</td><td>2.4</td><td></td><td>98</td></tr><tr><td>1987</td><td>40.0</td><td>4.6</td><td>7.0</td><td>4.4</td><td></td><td>56</td></tr><tr><td>1988</td><td>180.0</td><td>7.1</td><td>12.0</td><td>3.5</td><td>4.0</td><td>207</td></tr><tr><td>1989</td><td>136.0</td><td>12.4</td><td>17.0</td><td>4.1</td><td>3.0</td><td>172</td></tr><tr><td>1990</td><td>285.1</td><td>7.8</td><td>5.0</td><td>6.4</td><td>6.2</td><td>310</td></tr><tr><td>1991</td><td>346.1</td><td>2.3</td><td>4.0</td><td>4.2</td><td>5.5</td><td>362</td></tr><tr><td>1992</td><td>462.1</td><td>13.1</td><td>11.0</td><td>3.2</td><td>10.3</td><td>500</td></tr><tr><td>1993</td><td>499.3</td><td>9.9</td><td>8.0</td><td>11.5</td><td>7.0</td><td>536</td></tr><tr><td>1994</td><td>312.8</td><td>13.2</td><td>0.4</td><td>7.4</td><td>10.0</td><td>344</td></tr><tr><td>1995</td><td>302.7</td><td>19.0</td><td>1.2</td><td>8.9</td><td>2.0</td><td>334</td></tr><tr><td>1996</td><td>243.0</td><td>9.2</td><td>3.0</td><td>7.4</td><td>8.0</td><td>271</td></tr><tr><td>1997</td><td>59.4</td><td>6.1</td><td>2.8</td><td>3.6</td><td>2.0</td><td>74</td></tr><tr><td>1998</td><td>45.5</td><td>11.0</td><td>1.0</td><td>5.0</td><td>1.0</td><td>64</td></tr><tr><td>1999</td><td>35.3</td><td>4.3</td><td>1.4</td><td>5.4</td><td>1.0</td><td>47</td></tr><tr><td>2000</td><td>11.3</td><td>9.3</td><td>3.5</td><td>9.0</td><td>1.0</td><td>34</td></tr><tr><td>2001</td><td>13.9</td><td>10.7</td><td>2.8</td><td>7.3</td><td>1.0</td><td>36</td></tr><tr><td>2002</td><td>6.7</td><td>6.9</td><td>2.4</td><td>7.8</td><td>1.0</td><td>25</td></tr><tr><td>2003</td><td>11.1</td><td>5.4</td><td>0.6</td><td>9.6</td><td>1.0</td><td>28</td></tr><tr><td>2004</td><td>18.1</td><td>10.4</td><td>0.4</td><td>7.3</td><td>1.0</td><td>37</td></tr><tr><td>2005</td><td>20.5</td><td>5.3</td><td>1.7</td><td>6.0</td><td>1.0</td><td>35</td></tr><tr><td>2006</td><td>17.2</td><td>5.8</td><td>1.3</td><td>5.7</td><td>1.0</td><td>31</td></tr><tr><td>2007</td><td>35.5</td><td>3.1</td><td>0.3</td><td>9.7</td><td>0.5</td><td>49</td></tr></tbody></table>
<table><thead><tr><th>Year</th><th>Iceland <sup>(1)</sup></th><th>Ireland <sup>(2)</sup></th><th>UK (N. Ireland)<br>River Bush <sup>(2,3)</sup></th><th>Sweden <sup>(2)</sup></th><th>Norway<br>various facilities <sup>(2)</sup></th><th>Total production</th></tr></thead><tbody><tr><td>2008</td><td>68.6</td><td>4.4</td><td>-</td><td>10.4</td><td>0.5</td><td>84</td></tr><tr><td>2009</td><td>44.3</td><td>1.1</td><td>-</td><td>9.9</td><td>-</td><td>55</td></tr><tr><td>2010</td><td>42.3</td><td>2.5</td><td>-</td><td>13.0</td><td>-</td><td>58</td></tr><tr><td>2011</td><td>30.2</td><td>2.5</td><td>-</td><td>19.1</td><td>-</td><td>52</td></tr><tr><td>2012</td><td>20.0</td><td>5.3</td><td>-</td><td>8.9</td><td>-</td><td>34</td></tr><tr><td>2013</td><td>30.7</td><td>2.8</td><td>-</td><td>4.2</td><td>-</td><td>38</td></tr><tr><td>2014</td><td>17.9</td><td>2.8</td><td>-</td><td>6.2</td><td>-</td><td>27</td></tr><tr><td>2015</td><td>31.4</td><td>4.7</td><td>-</td><td>6.6</td><td>-</td><td>43</td></tr><tr><td>2016</td><td>33.6</td><td>3.0</td><td>-</td><td>3.1</td><td>-</td><td>40</td></tr><tr><td>2017</td><td>24.4</td><td>2.8</td><td>-</td><td>10.0</td><td>-</td><td>37</td></tr><tr><td>2018</td><td>21.7</td><td>3.0</td><td>-</td><td>4.1</td><td>-</td><td>29</td></tr><tr><td>2019</td><td>13.7</td><td>3.6</td><td>-</td><td>8.0</td><td>-</td><td>25</td></tr><tr><td>2020</td><td>28.2</td><td>3.3</td><td>-</td><td>7.0</td><td>-</td><td>39</td></tr><tr><td>Mean</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>2015-2019</td><td>25.0</td><td>3.4</td><td>-</td><td>6.4</td><td>-</td><td>34.7</td></tr><tr><td>% change; recent year relative to mean</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td>13</td><td>-4</td><td>-</td><td>10</td><td>-</td><td>11</td></tr></tbody></table>

Notes:

1. From 1990 to 2000, catch includes fish ranched for both commercial and angling purposes. No commercial ranching since 2000.

2. Total yield in homewater fisheries and rivers.

3. The proportion of ranched fish was not assessed between 2008 and 2018 due to a lack of microtag returns.
<table><caption>Table 2.3.4.1 Labrador subsistence fishery catches (number of fish), samples processed for genetic stock identification, the proportion of the catch sampled annually, and the number of USA origin fish identified in the samples, 2015 to 2020. The 2020 catch data are from SFA 1A and 2 only. The samples in 2020 are those with >80% probability of individual assignment.</caption><thead><tr><th>Year</th><th>Total catch (large only)</th><th>Total samples (large only)</th><th>Percentage sampled (large only)</th><th>USA samples (large only)</th></tr></thead><tbody><tr><td>2015</td><td>15 070 (6147)</td><td>728 (196)</td><td>4.8 (3.2)</td><td>0 (0)</td></tr><tr><td>2016</td><td>13 236 (5598)</td><td>445 (155)</td><td>3.4 (2.8)</td><td>0 (0)</td></tr><tr><td>2017</td><td>13 060 (6192)</td><td>492 (292)</td><td>3.8 (4.7)</td><td>2 (2)</td></tr><tr><td>2018</td><td>12 459 (4085)</td><td>499 (153)</td><td>4.0 (3.7)</td><td>0 (0)</td></tr><tr><td>2019</td><td>12 858 (5808)</td><td>485 (146)</td><td>3.8 (2.5)</td><td>0 (0)</td></tr><tr><td>2020</td><td>8 070 (3397)</td><td>679 (146)</td><td>8.4 (4.3)</td><td>0 (0)</td></tr><tr><td>Overall</td><td>74 753 (31 227)</td><td>3328 (1088)</td><td>4.5 (3.5)</td><td>0.1% (0.2%)</td></tr></tbody></table>
<table><caption>Table 2.7.1 Summary of Atlantic salmon tagged and marked in 2020 - 'Hatchery' and 'Wild' juvenile refer to smolts and parr.</caption><thead><tr><th rowspan="2">Country</th><th rowspan="2">Origin</th><th colspan="5">Primary Tag or Mark</th></tr><tr><th>Microtag</th><th>External mark<sup>2</sup></th><th>Adipose clip</th><th>Other Internal<sup>1</sup></th><th>Total</th></tr></thead><tbody><tr><td rowspan="5">Canada</td><td>Hatchery Adult</td><td>0</td><td>1414</td><td>10</td><td>513</td><td>1937</td></tr><tr><td>Hatchery Juvenile</td><td>0</td><td>964</td><td>0</td><td>0</td><td>964</td></tr><tr><td>Wild Adult</td><td>0</td><td>934</td><td>11</td><td>758</td><td>1703</td></tr><tr><td>Wild Juvenile</td><td>0</td><td>11 666</td><td>7630</td><td>824</td><td>20 120</td></tr><tr><td><strong>Total</strong></td><td><strong>0</strong></td><td><strong>14 978</strong></td><td><strong>7651</strong></td><td><strong>2095</strong></td><td><strong>24 724</strong></td></tr><tr><td rowspan="5">Denmark</td><td>Hatchery Adult</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>Hatchery Juvenile</td><td>0</td><td>0</td><td>306 000</td><td>0</td><td>306 000</td></tr><tr><td>Wild Adult</td><td>0</td><td>0</td><td>0</td><td>870</td><td>870</td></tr><tr><td>Wild Juvenile</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td><strong>Total</strong></td><td><strong>0</strong></td><td><strong>0</strong></td><td><strong>306 000</strong></td><td><strong>870</strong></td><td><strong>306 870</strong></td></tr><tr><td rowspan="5">France</td><td>Hatchery Adult</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>Hatchery Juvenile</td><td>0</td><td>0</td><td>3960</td><td>0</td><td>3960</td></tr><tr><td>Wild Adult</td><td>0</td><td>0</td><td>0</td><td>575</td><td>575</td></tr><tr><td>Wild Juvenile</td><td>0</td><td>0</td><td>0</td><td>2912</td><td>2912</td></tr><tr><td><strong>Total</strong></td><td><strong>0</strong></td><td><strong>0</strong></td><td><strong>3960</strong></td><td><strong>3487</strong></td><td><strong>7 447</strong></td></tr><tr><td rowspan="5">Iceland</td><td>Hatchery Adult</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>Hatchery Juvenile</td><td>60 126</td><td>0</td><td>0</td><td>0</td><td>60 126</td></tr><tr><td>Wild Adult</td><td>0</td><td>165</td><td>0</td><td>0</td><td>165</td></tr><tr><td>Wild Juvenile</td><td>2687</td><td>0</td><td>0</td><td>382</td><td>3069</td></tr><tr><td><strong>Total</strong></td><td><strong>62 813</strong></td><td><strong>165</strong></td><td><strong>0</strong></td><td><strong>382</strong></td><td><strong>63 360</strong></td></tr><tr><td rowspan="5">Ireland</td><td>Hatchery Adult</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>Hatchery Juvenile</td><td>126 713</td><td>0</td><td>0</td><td>0</td><td>126 713</td></tr><tr><td>Wild Adult</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>Wild Juvenile</td><td>0</td><td>0</td><td>0</td><td>2441</td><td>2441</td></tr><tr><td><strong>Total</strong></td><td><strong>126 713</strong></td><td><strong>0</strong></td><td><strong>0</strong></td><td><strong>2 441</strong></td><td><strong>129 154</strong></td></tr><tr><td rowspan="2">Norway</td><td>Hatchery Adult</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>Hatchery Juvenile</td><td>0</td><td>3609</td><td>0</td><td>52 965</td><td>56 574</td></tr></tbody></table>
<table><thead><tr><th rowspan="2">Country</th><th rowspan="2">Origin</th><th colspan="5">Primary Tag or Mark</th></tr><tr><th>Microtag</th><th>External mark<sup>2</sup></th><th>Adipose clip</th><th>Other Internal<sup>1</sup></th><th>Total</th></tr></thead><tbody><tr><td rowspan="5">Russia</td><td>Wild Adult</td><td>0</td><td>436</td><td>0</td><td>23 229</td><td>23 665</td></tr><tr><td>Wild Juvenile</td><td>0</td><td>501</td><td>0</td><td>80</td><td>581</td></tr><tr><td><strong>Total</strong></td><td><strong>0</strong></td><td><strong>4546</strong></td><td><strong>0</strong></td><td><strong>76 274</strong></td><td><strong>80 820</strong></td></tr><tr><td>Hatchery Adult</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>Hatchery Juvenile</td><td>0</td><td>0</td><td>836 774</td><td>0</td><td>836 774</td></tr><tr><td rowspan="5">Spain</td><td>Wild Adult</td><td>0</td><td>238</td><td>0</td><td>0</td><td>238</td></tr><tr><td>Wild Juvenile</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td><strong>Total</strong></td><td><strong>0</strong></td><td><strong>238</strong></td><td><strong>836 774</strong></td><td><strong>0</strong></td><td><strong>837 012</strong></td></tr><tr><td>Hatchery Adult</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>Hatchery Juvenile</td><td>0</td><td>0</td><td>91 518</td><td>0</td><td>91 518</td></tr><tr><td rowspan="5">Italy</td><td>Wild Adult</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>Wild Juvenile</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td><strong>Total</strong></td><td><strong>0</strong></td><td><strong>0</strong></td><td><strong>91 518</strong></td><td><strong>0</strong></td><td><strong>91 518</strong></td></tr></tbody></table>

<footnote n="1">¹ Includes other internal tags (PIT, ultrasonic, radio, DST, etc.)</footnote>

<footnote n="2">² Includes Carlin, spaghetti, streamers, VIE, etc.</footnote>
<table><caption>Table 2.7.1 (continued.) Summary of Atlantic salmon tagged and marked in 2019 - 'Hatchery' and 'Wild' juvenile refer to smolts and parr.</caption><thead><tr><th rowspan="2">Country</th><th rowspan="2">Origin</th><th colspan="5">Primary Tag or Mark</th></tr><tr><th>Microtag</th><th>External mark<sup>2</sup></th><th>Adipose clip</th><th>Other Internal<sup>1</sup></th><th>Total</th></tr></thead><tbody><tr><td rowspan="4">Sweden</td><td>Hatchery Adult</td><td>0</td><td>0</td><td>158 418</td><td>0</td><td>158 418</td></tr><tr><td>Hatchery Juvenile</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>Wild Adult</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>Wild Juvenile</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td></td><td><strong>Total</strong></td><td><strong>0</strong></td><td><strong>0</strong></td><td><strong>158 418</strong></td><td><strong>0</strong></td><td><strong>158 418</strong></td></tr><tr><td rowspan="4">UK (England & Wales)</td><td>Hatchery Adult</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>Hatchery Juvenile</td><td>0</td><td>0</td><td>9600</td><td>0</td><td>9600</td></tr><tr><td>Wild Adult</td><td>0</td><td>564</td><td>0</td><td>0</td><td>564</td></tr><tr><td>Wild Juvenile</td><td>607</td><td>0</td><td>8263</td><td>100</td><td>8970</td></tr><tr><td></td><td><strong>Total</strong></td><td><strong>607</strong></td><td><strong>564</strong></td><td><strong>17 863</strong></td><td><strong>100</strong></td><td><strong>19 134</strong></td></tr><tr><td rowspan="4">UK (N. Ireland)</td><td>Hatchery Adult</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>Hatchery Juvenile</td><td>5549</td><td>0</td><td>63 440</td><td>0</td><td>68 989</td></tr><tr><td>Wild Adult</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>Wild Juvenile</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td></td><td><strong>Total</strong></td><td><strong>5549</strong></td><td><strong>0</strong></td><td><strong>63 440</strong></td><td><strong>0</strong></td><td><strong>68 989</strong></td></tr><tr><td rowspan="4">UK (Scotland)</td><td>Hatchery Adult</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>Hatchery Juvenile</td><td>0</td><td>0</td><td>21 500</td><td>0</td><td>21 500</td></tr><tr><td>Wild Adult</td><td>0</td><td>585</td><td>0</td><td>1</td><td>586</td></tr><tr><td>Wild Juvenile</td><td>0</td><td>385</td><td>0</td><td>1995</td><td>2380</td></tr><tr><td></td><td><strong>Total</strong></td><td><strong>0</strong></td><td><strong>970</strong></td><td><strong>21 500</strong></td><td><strong>1996</strong></td><td><strong>24 466</strong></td></tr><tr><td rowspan="4">Germany</td><td>Hatchery Adult</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>Hatchery Juvenile</td><td>0</td><td>0</td><td>77 000</td><td>1286</td><td>78 286</td></tr><tr><td>Wild Adult</td><td>0</td><td>15</td><td>0</td><td>0</td><td>15</td></tr><tr><td>Wild Juvenile</td><td>0</td><td>0</td><td>10</td><td>0</td><td>10</td></tr><tr><td></td><td><strong>Total</strong></td><td><strong>0</strong></td><td><strong>15</strong></td><td><strong>77 010</strong></td><td><strong>1286</strong></td><td><strong>78 311</strong></td></tr><tr><td rowspan="2">Greenland</td><td>Hatchery Adult</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>Hatchery Juvenile</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr></tbody></table>
<table><thead><tr><th rowspan="2">Country</th><th rowspan="2">Origin</th><th colspan="5">Primary Tag or Mark</th></tr><tr><th>Microtag</th><th>External mark<sup>2</sup></th><th>Adipose clip</th><th>Other Internal<sup>1</sup></th><th>Total</th></tr></thead><tbody><tr><td></td><td>Wild Adult</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td></td><td>Wild Juvenile</td><td>0</td><td>0</td><td>129</td><td>66</td><td>195</td></tr><tr><td></td><td><strong>Total</strong></td><td><strong>0</strong></td><td><strong>0</strong></td><td><strong>129</strong></td><td><strong>66</strong></td><td><strong>195</strong></td></tr><tr><td rowspan="4">USA</td><td>Hatchery Adult</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>Hatchery Juvenile</td><td>0</td><td>0</td><td>68 030</td><td>0</td><td>68 030</td></tr><tr><td>Wild Adult</td><td>0</td><td>88</td><td>170</td><td>2393</td><td>2651</td></tr><tr><td>Wild Juvenile</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td></td><td><strong>Total</strong></td><td><strong>0</strong></td><td><strong>88</strong></td><td><strong>68 200</strong></td><td><strong>2393</strong></td><td><strong>70 681</strong></td></tr><tr><td rowspan="4">All Countries</td><td>Hatchery Adult</td><td>0</td><td>1414</td><td>158 428</td><td>513</td><td>160 355</td></tr><tr><td>Hatchery Juvenile</td><td>192 388</td><td>4573</td><td>1 477 822</td><td>54 251</td><td>1 729 034</td></tr><tr><td>Wild Adult</td><td>0</td><td>3025</td><td>181</td><td>27 826</td><td>31 032</td></tr><tr><td>Wild Juvenile</td><td>3294</td><td>12 552</td><td>16 032</td><td>8800</td><td>40 678</td></tr><tr><td></td><td><strong>Total</strong></td><td><strong>195 682</strong></td><td><strong>21 564</strong></td><td><strong>1 652 463</strong></td><td><strong>91 390</strong></td><td><strong>1 961 099</strong></td></tr></tbody></table>

<footnote n="1">¹ Includes other internal tags (PIT, ultrasonic, radio, DST, etc.)</footnote>

<footnote n="2">² Includes Carlin, spaghetti, streamers, VIE etc.</footnote>
<figure><img src="image_6.png" /><figcaption>Figure 2.1.1.1. (a) Total reported nominal catches of salmon (tonnes round fresh weight) in four North Atlantic regions, 1960–2020.</figcaption></figure>

<figure><img src="image_7.png" /><figcaption>Figure 2.1.1.1. (b) Total reported nominal catches of salmon (tonnes round fresh weight) in four North Atlantic regions, 1997–2020.</figcaption></figure>
<figure><img src="image_8.png" /><figcaption>Figure 2.1.1.2. Nominal catch (tonnes round fresh weight) taken in coastal, estuarine and in-river fisheries by country, 2009–2020. The way in which the nominal catch is partitioned among categories varies between countries, particularly for estuarine and coastal fisheries, see text for details. Note also that the y-axes scales vary.</figcaption></figure>
<figure><img src="image_9.png" /><figcaption>Figure 2.1.1.3. Top panel - Nominal catches (tonnes round fresh weight) taken in coastal, estuarine and in-river fisheries for the NAC area (2009–2020) and for NEAC Northern (NEAC_N) and Southern (NEAC_S) areas (2009–2020). Bottom panel - Percentages of nominal catch taken in coastal, estuarine and in-river fisheries in each commission area, 2009–2020. Note that y-axes in the top panel vary.</figcaption></figure>
<figure><img src="image_10.png" /><figcaption>Figure 2.1.3.1. Nominal North Atlantic salmon catch (tonnes round fresh weight) and unreported catch (tonnes round fresh weight) in NASCO Areas, 1987–2020.</figcaption></figure>
<figure><img src="image_11.png" /><figcaption>Figure 2.2.1.1. World-wide farmed Atlantic salmon production (tonnes round fresh weight) 1980–2020. Note no data available for USA West coast production at time of writing.</figcaption></figure>

<figure><img src="image_12.png" /><figcaption>Figure 2.2.2.1. Production of ranched salmon (tonnes round fresh weight) in the North Atlantic, 1980–2020.</figcaption></figure>
<figure><img src="image_13.png" /><figcaption>Figure 2.3.4.1. Simulated number of non-local origin fish in the catches for different proportions of non-local origin fish in the pool of fish being exploited (columns) and different levels of total catch (rows). The distribution of catches for each combination of proportions non-local and total catch is derived assuming a Binomial distribution defined by total catch and proportion non-local origin. The median of the distributions is shown as the vertical line in each panel.</figcaption></figure>
<figure><img src="image_14.png" /></figure>

Figure 2.3.4.2. Simulated number of non-local origin fish in the samples from the fishery with a catch level of 15 000 fish, different proportions of non-local fish in the pool of fish exploited (columns) and proportions of the catch sampled (rows). The distributions of non-local origin salmon in the samples are derived assuming a Hypergeometric distribution defined by total catch of non-local origin, total catch of local origin (conditioned by total catch of all origin and proportion non-local origin in the pool of fish) and the number of samples collected (conditioned by total catch and proportion of catch sampled). The median of the distributions of non-local origin samples is shown as the vertical line in each panel.
<figure><img src="image_15.png" /><figcaption>Figure 2.3.4.3. Posterior distribution summaries from the catch estimation process for fish of non-local origin based on the proportion of the fishery catch sampled (2% to 20%) for three levels of catch (rows, number of fish) and the proportion of non-local origin fish in the pool of fish (columns). The boxplots show the median (horizontal line in each box), the interquartile range (shaded rectangle) and the 5th to 95th percentile range (vertical line). The horizontal red line and the text number in each panel is the true catch of non-local origin salmon based on the product of total catch and proportion non-local origin fish which is used to simulate the sampling process.</figcaption></figure>
<figure><img src="image_16.png" /><figcaption>Figure 2.3.4.4. Coefficient of variation of the estimated catch of non-local origin fish relative to the sampling design (proportion sampled) for different values of total catch (rows) and different proportions of non-local origin fish in the pool of fish exploited (columns).</figcaption></figure>
<figure><img src="image_17.png" /><figcaption>Figure 2.3.4.5. Posterior distributions of the estimated catches of USA origin salmon (top row) and the estimated percentage USA origin salmon in the fishery (bottom row) for all size groups of catches of Atlantic salmon (left column) and large salmon only (right column). The boxplots show the median (horizontal line in each box), the interquartile range (shaded rectangle) and the 5th to 95th percentile range (vertical line). The median of the posterior distribution of the estimated catch is shown next to each boxplot in the upper row.</figcaption></figure>
# 3 Northeast Atlantic Commission area

## 3.1 NASCO has requested ICES to describe the key events of the 2020 fisheries

### 3.1.1 Fishing at Faroe Islands

No fishery for salmon has been prosecuted since 2000.

### 3.1.2 Key events in NEAC homewater fisheries

New regulatory provisions approved for Wales (UK England & Wales) in late 2019 came into force in January 2020 and have substantially reduced the exploitation of salmon in 2020. The measures include mandatory catch and release of salmon in all rod and net fisheries across Wales, angling method restrictions (e.g. the number, size and type of hooks), and revised start and finish dates for net fishing seasons.

The COVID-19 pandemic variably affected salmon fisheries in NEAC countries in 2020. These impacts are summarised in Section 2.3.1.

### 3.1.3 Gear and effort

No significant changes in gear type used were reported in 2020, however, changes in effort were recorded. The number of gear units licensed or authorised in several of the NEAC area countries provides a partial measure of effort (Table 3.1.3.1), but does not take into account other restrictions, for example, closed seasons. In addition, there is no indication from these data of the actual number of licences actively utilised or the time each licensee fished.

The numbers of gear units used to take salmon with nets and traps have declined markedly over the available time-series in all NEAC countries. This reflects the closure of many fisheries and increasingly restrictive measures to reduce levels of exploitation in many countries. There are fewer measures of effort in respect of in-river rod fisheries, and these indicate differing patterns over available time-series. However, anglers in all countries are increasingly practicing catch and release (see below).

Trends in effort are shown in Figures 3.1.3.1 and 3.1.3.2 for the Northern and Southern NEAC countries respectively. In the Northern NEAC area, driftnet effort in Norway accounted for the majority of the effort expended in the early part of the time-series. However, this fishery closed in 1989, reducing the overall effort substantially. The number of bagnets and bendnets in Norway has decreased for the past 15-20 years but in 2020, there were small increases in the numbers of both bagnets and bendnets from the previous year. The number of gear units in the coastal fishery in the Archangelsk region, Russia, has been relatively stable throughout the time-series with only a few years of large deviation from the average of 65 units and in 2020 the number was below the average with 41 units. The number of units in the in-river fishery at the Archangelsk region decreased markedly between 1996 and 2002 but has since remained relatively stable. The number of units was the lowest in the time-series in 2020 with only 22 units, which is almost 60% less than the previous five-year and ten-year means.
The numbers of gear units licensed in UK (England & Wales) and Ireland (Table 3.1.3.1) were among the lowest reported in the time-series. In Ireland, a total of 78 licences for commercial gear units were issued which was one more than the previous year. In UK (England & Wales), licences were only issued for sea trout fishing and therefore no fishing for salmon took place in 2020 following the introduction of the National Salmon and Sea Trout Protection byelaws in 2019. In UK (Scotland) the numbers of fixed engines and net and cobles were the lowest in the time-series 2019 with no recorded change in 2020. For UK (Northern Ireland) driftnet, draftnet, bagnets and boxes decreased throughout the time-series and no commercial fishing activity has occurred in coastal Northern Irish waters since 2012. In France, the number of nets in estuaries remained the same (17) since 2014, with similar numbers of commercial nets in freshwater for the last four years. No data was available for France at the time of the Working Group meeting.

Rod effort trends, where available, have varied for different areas across the time-series (Table 3.1.3.1). In the Northern NEAC area, the number of anglers and fishing days in Finland showed a dramatic decrease in 2017 following a new fishery agreement between Finland and Norway with the number of fishing days decreasing in River Teno/Tana from 31 923 in 2016 to approximately 10 000 in the last years. In the Southern NEAC area, rod licence numbers increased from 2001 to 2011 in UK (England & Wales), and there was a marked increase in numbers in 2017 due to the introduction of a new free licence for young fishers (18 years or younger). There was a drop in the annual licence sales in 2020, but short-term licence sales were at similar levels to the previous year. In Ireland, there was an increase in the early 1990s owing to the introduction of one-day licences. In France, the rod-and-line effort in freshwater has been stable throughout the time-series, with a decrease in 2020 licence numbers compared to the previous year.

### 3.1.4 Catches

NEAC area catches are presented in Table 3.1.4.1. The provisional nominal catch in the NEAC area in 2020 (778 t) was slightly higher than the updated catch for 2019 (755 t) and 19% and 29% below the previous five-year and ten-year means, respectively. It should be noted that changes in nominal catch may reflect changes in exploitation rates and the extent of catch and release in rivers, in addition to stock size, and thus cannot be regarded as a direct indicator of abundance. The provisional total nominal catch in Northern NEAC in 2020 (685 t) was higher than the updated catch for 2019 (671 t) but lower than the previous five-year and ten-year means (808 t, 851 t, respectively). In the Southern NEAC area the provisional total nominal catch for 2020 (93 t) was higher than the updated catch for 2019 (83 t) but was 39% and 61% below the previous five-year and ten-year means respectively. The greatest reductions in catches in Southern NEAC since 2018 were observed in UK (England & Wales) where the catch in 2019 (5 t) was only 12% of the catch in 2018 (42 t), and the 2020 catch was even lower, 3 t. The reduction is largely a result of closure of almost all net fisheries in this area. Figure 3.1.4.1 shows the trends in nominal catches of salmon in the Southern and Northern NEAC areas from 1971 until 2020. The catch in the Southern NEAC area has declined over the period from about 4500 t in 1972 to 1975 to below 1000 t since 2003. The catch fell sharply in 1976, and between 1989 and 1991, and continues to show a steady decline over the last 15 years from over 1000 t to currently below 100 t. The catch in the Northern NEAC area declined over the time-series, although this decrease was less distinct than the reductions noted in the Southern NEAC area. The catch in the Northern NEAC area varied between 2000 t and 2800 t from 1971 to 1988, fell to a low of 962 t in 1997, and then increased to over 1600 t in 2001. Catch in the Northern NEAC area has exhibited a downward trend since and has been consistently below 1000 t since 2012. Thus, the catch in the Southern NEAC area, which comprised around 2/3 of the total NEAC catch in the early 1970s, has been lower than that in the Northern NEAC area since 1999, and has been around 1/5 of the total catch in the NEAC area in recent years.
### 3.1.5 Catch per unit of effort (CPUE)

CPUE can be influenced by various factors, such as fishing conditions, perceived likelihood of success and experience. Both CPUE of net and rod fisheries might be affected by measures taken to reduce fishing effort, for example, changes in regulations affecting gear. If changes in one or more factors occur, a pattern in CPUE may not be immediately evident, particularly over larger areas. It is, however, expected that for a relatively stable effort, CPUE can reflect changes in the status of stocks and stock size. CPUE may be affected by increasing rates of catch and release in rod fisheries.

The CPUE data are presented in Tables 3.1.5.1 to 3.1.5.6. The CPUE for rod fisheries have been derived by relating the catch to rod days or angler season. CPUE for net fisheries were calculated as catch per licence-day, gear-day, licence-tide, trap-month or crew-month.

In the Northern NEAC area the CPUE for the commercial coastal net fisheries in the Archangelsk area, Russia, showed a general decrease (Figure 3.1.5.1 and Table 3.1.5.2). Russian river fisheries showed 2020 CPUE figures that were mostly higher than in the previous year and above the means of the previous five years (Table 3.1.5.2) and the overall trends show an increase across the time-series (Figure 3.1.5.1). In Finland, the CPUE per angler-season in the rivers Teno and Näätämöjoki has been relatively stable over time (Figure 3.1.5.1). After the major change in fishery regulation on the Teno, the 2017 figures were clearly higher than in the previous year and the five-year means but were at earlier lower levels again in 2018-2020 (Table 3.1.5.1). For the River Näätämöjoki, CPUE figures for 2020 were lower than in the previous year and the long-term and five-year means. A general increasing trend was observed for the CPUE in the Norwegian net fisheries (Figure 3.1.5.1), but the figures in 2020 were mostly lower than in the previous year or the long-term means for both bag nets and bend nets (Table 3.1.5.6).

In the Southern NEAC area, UK (England & Wales) closed all net fisheries for 2019 and 2020 (except in Wales in 2019), and updated CPUE figures have not been calculated (Table 3.1.5.3). The CPUE for the net and coble fisheries in UK (Scotland) show a general decline over the time-series (Figure 3.1.5.1). After an increase in 2018, the CPUE value decreased substantially in 2019 and has stayed at the same level in 2020 (Table 3.1.5.5). The CPUE for the fixed engine fisheries has shown a slight increase since 2010, but in 2016–2020 there was no information on effort due to changes in fishery regulations (Table 3.1.5.5). The CPUE values for rod fisheries in UK (England & Wales) show a general positive trend (Figure 3.1.5.1) and an increase in 2020 from the previous year (Table 3.1.5.4). In France, the CPUE for rod fisheries shows an overall decline over the time-series (Figure 3.1.5.1), and the 2020 figure was lower than in the previous year and the long-term means (Table 3.1.5.1).

### 3.1.6 Age composition of catches

The percentage of 1SW salmon in NEAC catches is presented by country in Table 3.1.6.1 and shown separately for Northern and Southern NEAC countries in Figure 3.1.6.1. Except for Iceland, the proportion of 1SW salmon has declined for all countries over the period 1987–2020, especially so for Sweden. The decline in the proportion of 1SW salmon is evident in both stock complexes, particularly after 2000 (Figure 3.1.6.1). The overall percentage of 1SW fish in Northern NEAC catches remained reasonably consistent in the period 1987–2000 (mean 65%, range 61% to 71%), but has fallen in more recent years (2001–2020) to 59% (range 53% to 67%), when greater variability among countries and years has also been evident. Comparing the two periods, the proportion of 1SW fish has decreased in Russia, Norway, Finland, and Sweden, whereas an increase is apparent for Iceland. On average, 1SW fish comprise a higher percentage of the catch in Iceland than in the other Northern NEAC countries in the period 2001–2020, this may be
related to increased catch and release of MSW fish in Iceland (Table 3.1.6.1). In the Southern NEAC area, the percentage of 1SW fish in catches averaged 61% (range 49% to 67%) in 1987–2000 and 55% (range 44% to 66%) in 2001–2020. Comparing the two periods, the percentage of 1SW salmon has decreased in all Southern NEAC countries presented (Table 3.1.6.1), especially so for Spain.

### 3.1.7 Farmed and ranched salmon in catches

The contribution of farmed and ranched salmon to national catches in the NEAC area in 2020 was again generally low in most countries. Farmed and ranched fish are included in assessments of the status of national stocks (Section 3.3) for Norway.

The number of farmed salmon that escaped from Norwegian farms in 2020 was reported to be approximately 43 000 fish (provisional figure), substantially down from the previous year (287 000). An assessment of the likely effect of these fish on the estimates of PFA has been reported previously (ICES, 2001).

The estimated proportion of farmed salmon in Norwegian angling catches in 2020 was the lowest in the time-series (2%), and the proportion in samples taken from Norwegian rivers in autumn (3%), was also the lowest value in the time-series. No data are available for the proportion of farmed salmon in coastal fisheries in Norway. A small number of escaped farmed salmon (seven) was also reported from catches in Icelandic rivers in 2020. Three of these, caught in rod fisheries, have been confirmed to be of farmed origin by genetic analysis, while four additional fish caught in a monitoring survey have yet to be confirmed as farmed. A small number (nine) of farmed salmon were also reported in catches by all methods from UK (England & Wales).

The release of smolts for commercial ranching purposes ceased in Iceland in 1998 but ranching for rod fisheries in two Icelandic rivers continued in 2020. Icelandic catches have traditionally been split into two separate categories, wild and ranched (Table 2.2.2.1). In 2020, 28 t of catch were reported as ranched salmon in contrast to 42 t harvested as wild. Similarly, Swedish catches have been split into two separate categories, wild and ranched (Table 2.2.2.1). In 2020, 7 t of catch were reported as ranched salmon in contrast to 7 t harvested as wild. Ranching occurs on a much smaller scale in Ireland and UK (Northern Ireland).

### 3.1.8 National origin of catches

#### 3.1.8.1 Catches of Russian salmon in northern Norway

The Working Group has previously reported on catches of Russian salmon in northern Norway based on results from the Kolarctic Salmon project (Kolarctic ENPI CBC programme 2007–2013) (ICES, 2020). No new information was presented to the Group in 2021.

The 2020 meeting of the Working Group on Atlantic salmon in Finnmark County and the Murmansk Region, established under the Memorandum of Understanding between the Ministry of Climate and Environment (Norway) and the Federal Agency for Fishery (the Russian Federation), was postponed from August due to COVID-19 and rescheduled for August 2021.

In 2020 the Kolarctic ENI CBC project CoASal "Conserving our Atlantic salmon as a sustainable resource for people in the North; fisheries and conservation in the context of growing threats and a changing environment (KO4178)" was started. The project aims to document and examine the effect of the new coastal salmon fishery regulations, study the effects of growing threats Atlantic salmon populations face today with climate change, growing cage culture industry and emerging diseases. Project partners are from Norway: the County Governor of Troms and Finnmark (Lead Partner) and Institute of Marine Research, from Russia: Polar branch of VNIRO (PINRO), from Finland: University of Turku, Biodiversity Unit and from Sweden: Swedish University of
Agricultural Sciences. The project will be implemented in the period from January 2020 to Sep-
tember 2022. The project is funded through EU's Kolarctic ENI CBC programme, national fund-
ing and funding from the partners. The project follows up and builds on the results from the
"Kolarctic salmon (KO197)" project (2011-2013).

3.1.9 Exploitation indices of NEAC stocks

Exploitation rates have been plotted for 1SW and MSW salmon from the Northern NEAC (1983 to 2020) and Southern NEAC (1971 to 2020) areas and are displayed in Figure 3.1.9.1. National exploitation rates are an output of the NEAC PFA Run Reconstruction Model. These were combined as appropriate by weighting each individual country's exploitation rate to the reconstructed returns. Data gathered prior to the 1980's represent estimates of national exploitation rates while post-1980s exploitation rates have often been subject to more robust analysis informed by projects such as the national coded wire programme in Ireland.

The exploitation of 1SW salmon in both Northern NEAC and Southern NEAC areas has shown a general decline over the time-series (Figure 3.1.9.1), with a notable sharp decline in 2007 as a result of the closure of the Irish driftnet fisheries in the Southern NEAC area. The weighted exploitation rate on 1SW salmon in the Northern NEAC area was 45% in 2020, which was over the previous five-year (41%) and ten-year (41%) means. Exploitation on 1SW fish in the Southern NEAC complex was 7% in 2020, which was lower than the previous five-year (9%) and the ten-year (10%) means.

The exploitation rate of MSW fish also exhibited an overall decline over the time-series in both
Northern NEAC and Southern NEAC areas (Figure 3.1.9.1), with a notable sharp decline in 2008.
Exploitation on MSW salmon in the Northern NEAC area was 43% in 2020, which was at the
same level as the previous five-year mean (43%) and the ten-year mean (43%). Exploitation on
MSW fish in Southern NEAC was 3% in 2020, which was clearly lower than the previous five-
year (7%) and ten-year (9%) means.

The rate of change of exploitation of 1SW and MSW salmon in NEAC countries over the available time periods is shown in Figure 3.1.9.2. This was derived from the slope of the linear regression between time and natural logarithm transformed exploitation rate. The relative rate of change of exploitation over the entire time-series indicates an overall reduction of exploitation in most Northern NEAC countries for 1SW and MSW salmon (Figure 3.1.9.2). Exploitation in Finland has been relatively stable over the time period, while the largest rate of reduction has been for MSW salmon in Iceland (Northeast). The Southern NEAC countries have also shown a general decrease in exploitation rate (Figure 3.1.9.2) on both 1SW and MSW components, except for 1SW salmon in France where exploitation for 1SW salmon has increased over the time-series. The greatest rate of decrease shown for 1SW fish was in UK (Scotland and UK (Northern Ireland)), while France (MSW) and Iceland (both 1SW and MSW) showed relative stability in exploitation rates during the time-series.

**3.2 Management objectives and reference points**

**3.2.1 NEAC conservation limits**

River-specific Conservation Limits (CLs) have been derived for salmon stocks in most countries in the NEAC area (France, Ireland, UK (England & Wales), UK (Northern Ireland), UK (Scotland), Finland, Norway and Sweden) and these are used in national assessments. In these cases,
CL estimates for individual rivers are summed to provide estimates at the national level for these countries.

River-specific CLs have also been derived for a number of rivers in Russia and Iceland, but these are not yet used in national assessments. An interim approach has been developed for countries that do not use river-specific CLs in their national assessment. This approach is based on the establishment of pseudo-stock-recruitment relationships for national salmon stocks; further details are provided in the Stock Annex (Annex 6).

CL estimates for all individual countries are summed to provide estimates for the Northern and Southern NEAC stock complexes (Table 3.2.1.1). These data are also used to estimate the Spawner Escapement Reserves (SERs; the CL increased to take account of natural mortality between the recruitment date of 1st January in the first sea winter and return to home waters). SERs are estimated for maturing and non-maturing 1SW salmon from individual countries as well as the Northern NEAC and Southern NEAC stock complexes (Table 3.2.1.1). The Working Group considers that the current national CL and SER levels may be less appropriate for evaluating the historical status of stocks (e.g. pre-1985), which in many cases have been estimated with less precision.

### 3.2.2 Progress with setting river-specific conservation limits

#### 3.2.2.1 Iceland

A CL was set for the River Gljufurá, a tributary to River Hvita, West Iceland in 2018. Progress with estimating CLs was made for eleven more rivers in 2019 and four more rivers in 2020. The 16 rivers that now have CL estimates are all large salmon fishing rivers, mostly in West Iceland, that contribute around 40% of the total annual rod catch of wild salmon. Juvenile surveys will be used to calculate the relationship between the spawning stock and recruitment, with rod catch statistics used to transfer CLs between rivers of similar productive capacity.

In the Salmonids Fisheries Act (2006), the laws enforce a responsibility of fishing rights owners to harvest their fish stocks sustainably. Each Fishery Association must make a harvest plan for their river. It is expected that the harvest plans would facilitate the setting of CLs as a basis for sustainable fisheries in each river. However, it is noted that the necessary legal obligation for compliance for Fishery Associations, as the major stakeholders, is not in hand. That process is likely to take a few more years before being fully adopted. Until this work has been completed, the pseudo stock-recruitment relationship approach will continue to be used.

## 3.3 Status of stocks

### 3.3.1 The NEAC PFA run-reconstruction model

The Working Group uses a run-reconstruction model to estimate the PFA of salmon from countries in the NEAC area (Potter et al., 2004). PFA in the NEAC area is defined as the number of 1SW recruits on 1 January in their first winter at sea. The model is generally based on the annual retained catches in numbers of 1SW and MSW salmon in each country, which are raised to take account of minimum and maximum estimates of non-reported catches and exploitation rates of these two sea-age groups. These values are then raised further to take account of the natural mortality between 1 January in the first sea winter and the mid-date of return of the stocks to freshwater.

Where the standard input data are themselves derived from other data sources, the raw data may be included in the model to permit the uncertainty in these analyses to be incorporated into the modelling approach. Some countries have developed alternative approaches to estimate the
total returning stock, and the Working Group reports these changes and the associated data in-
puts in the year in which they are first implemented.

For some countries, the data are provided in two or more regional blocks. In these instances,
model output is provided for the regional blocks and is combined to provide stock estimates for
the country as a whole. The input data for Finland comprise the total Finnish and Norwegian
catches (net and rod) for the River Teno/Tana, and the Norwegian catches from this river are not
included in the input data for Norway.

A Monte Carlo simulation (9999 resamples) is used to estimate confidence intervals on the stock
estimates. Further details of the model are provided in the Stock Annex, including a step-by-step
walkthrough of the modelling process.

3.3.2 Changes to the national input data for the NEAC PFA run-re-construction model

Model inputs are described in detail in Section 2.2 of the Stock Annex. In addition to adding new
data for 2020, the following changes were made to the national/regional input data for the model:

**UK (Northern Ireland):** Changes to the UK (Northern Ireland) run-reconstruction model inputs included the implementation of an updated CL for the Loughs Agency Area (River Foyle). The previously used CL was derived from the stock-recruitment relationship for the nearby River Bush and estimated to be around 27 million eggs. A recent publication by Honkanen *et al.* (2018) provided a new stock-recruitment relationship specific to the River Foyle. Using this newly available data, an updated CL for the River Foyle was calculated at 66.5 million eggs.

**UK (Scotland):** Several changes were made to the UK (Scotland) run-reconstruction model in-
puts to incorporate existing river-specific CLs and to re-specify the distribution of uncertainty
surrounding unreported catches and the correction factor applied to declared rod catches to es-
timate returns (the latter is detailed in ICES, 2018).

Progress in setting river-specific CLs for the UK (Scotland) was detailed in ICES (2019, 2020). Briefly, Bayesian hierarchical models were developed to derive CLs using adult to adult stock-recruitment data and to transport them to all assessable areas without such data. This approach takes into account wetted area and geographic location when transporting CLs. In 2021, the sums of individual river-level CLs at the regional scale (East and West) were provided for implementation within the run-reconstruction and PFA forecast models.

The uncertainty in unreported catch was previously specified by a normal distribution N(0.1, 0.05). To prevent values less than zero being sampled, the distribution was re-specified as U(0.1 - 0.05, 0.1 + 0.05). For similar reasons, the correction factor applied to declared rod catches (re-tained and released) to estimate returns was re-specified from a normal distribution to a lognormal distribution.

**West Greenland:** Due to issues caused by the COVID-19 pandemic, the 2020 data, except for reported harvest in metric tonnes, could not be obtained. These were data on fish wet mass to estimate the number of fish harvested, the proportion of 1SW fish to allocate harvest to sea age, and the number of genetic samples to allocate harvest between NAC and NEAC. To mitigate this shortcoming, the 2020 data for fish wet mass and the proportion of 1SW fish were taken from averages over the last five years. For the number of genetic samples, the five-year averages were divided by 15 to better capture the five-year variation in the proportion of fish originating from NAC vs NEAC in the West Greenland fishery. For more information, see Section 5.2.
### 3.3.3 Changes to the NEAC PFA run-reconstruction model

**UK (England & Wales):** The number of returns for 2020 were based on total rod catch multiplied by a correction factor that included an estimate of uncertainty. Previously, correction factors and uncertainty estimates were derived from both total rod and net catch, however, there was no net catch in 2020 due to the closure of the fishery in UK (England and Wales). The exploitation rates for 2020 were derived from estimated returns and retained rod catch (reported and unreported) using the same procedure as last year.

**UK (Northern Ireland):** The updated CL for the Loughs Agency Area (River Foyle) was implemented in the run-reconstruction model. Although the updated CL did not change the model outputs, the associated changes in biological reference points modified the resulting stock status estimates and catch options.

**UK (Scotland):** To accommodate revisions to the data inputs described above, the sums of individual river-level CLs at the regional scale were used in the derivation of biological reference points. The updated CLs did not affect the run-reconstruction model outputs. However, the changes in biological reference points modified the resulting stock status estimates and catch options. Uniform distributions were implemented for uncertainty in unreported catch.

### 3.3.4 Description of national stocks and NEAC stock complexes as derived from the NEAC run-reconstruction model

The NEAC PFA run-reconstruction model provides an overview of the status of national salmon stocks in the Northeast Atlantic. It does not capture variations in the status of stocks in individual rivers or small groups of rivers, although this has been addressed, in part, by the regional splits within some countries and the analysis set out in Section 3.3.5.

The model output for each country has been displayed as a summary sheet (Figures 3.3.4.1(a-j)) comprising the following:

* PFA and SER of maturing 1SW and non-maturing 1SW salmon.

* Homewater returns and spawners (90% confidence intervals) and CLs for 1SW and MSW salmon.

* Exploitation rates of 1SW and MSW salmon in homewaters estimated from the returns and catches.

* Total catch (including unreported) of 1SW and MSW salmon.

* National pseudo stock-recruitment relationship (PFA against lagged egg deposition) is used to estimate CLs in countries that do not provide one based upon river-specific estimates (Section 3.2). This panel also includes the sum of the river-specific CLs where this is used in the assessment.

Tables 3.3.4.1–3.3.4.6 summarise salmon abundance estimates for individual countries and stock complexes in the NEAC area. The PFA of maturing and non-maturing 1SW salmon and the numbers of 1SW and MSW spawners for the Northern NEAC and Southern NEAC stock complexes are shown in Figure 3.3.4.2.

The model provides an index of the current and historical status of stocks based on fisheries data. The 5th and 95th percentiles shown by the whiskers in each of the plots (Figures 3.3.4.1 and 3.3.4.2) reflect the uncertainty in the input data. It should also be noted that the results for the full time-series can change when the assessment is re-run from year to year and as the input data are refined. In this regard, changes to the data inputs for UK (Scotland) resulted in alterations to the PFA and spawner time-series, and changes to the data inputs for UK (Northern Ireland) and
UK (Scotland) resulted in changes in their CL and SER values and those for the Southern NEAC stock complex.

Status of stocks is assessed relative to the probability of exceeding CLs, or for PFA, SERs. Based on the NEAC run-reconstruction model, the status of the two age groups of the Northern NEAC stock complex, prior to the commencement of distant-water fisheries in the latest available PFA year, were considered to be at full reproductive capacity (i.e., above the SER; Section 1.5; Figure 3.3.4.2). Similarly, 1SW and MSW stocks in the Southern NEAC complex were considered to be at full reproductive capacity prior to the commencement of distant-water fisheries in the latest available PFA year (Figure 3.3.4.2), although this is due, at least in part, to changes in the UK (Northern Ireland) and UK (Scotland) SERs and CLs (section 3.2).

The abundances of both maturing 1SW and non-maturing 1SW recruits (PFA) for Northern NEAC (Figure 3.3.4.2) show a general decline over the time period, with the decline more marked in the maturing 1SW stock. The 1SW spawners in the Northern NEAC stock complex have been at full reproductive capacity throughout the time-series. MSW spawners, on the other hand, while generally being at full reproductive capacity, have periodically been at risk of suffering reduced reproductive capacity (Figure 3.3.4.2).

The abundance of maturing 1SW recruits (PFA) for Southern NEAC (Figure 3.3.4.2) demonstrates a declining trend over the time period. Both maturing and non-maturing 1SW stocks have, however, been at full reproductive capacity prior to the commencement of distant-water fisheries for all but three and one years, respectively (Figure 3.3.4.2). The 1SW spawners in the Southern NEAC stock complex have been at risk of suffering reduced reproductive capacity or suffering reduced reproductive capacity for six of the most recent 10 years (Figure 3.3.4.2). In opposite, MSW spawners in the Southern NEAC stock complex have been at risk of suffering reduced reproductive capacity or suffering reduced reproductive capacity for most of the time-series, although they have been at full reproductive capacity for all of the most recent ten years (Figure 3.3.4.2).

### 3.3.4.1 Individual country stocks

The assessment of PFA against SER (Figure 3.3.4.3) and returns and spawners against CL are shown for individual countries (Figures 3.3.4.4 and 3.3.4.5) and by regional blocks (Figures 3.3.4.6 and 3.3.4.7) for the most recent PFA and return years. These assessments show the same broad contrasts between Northern and Southern NEAC stocks as was apparent in the stock complex data.

For all countries in Northern NEAC, the PFAs of both maturing and non-maturing 1SW stocks were at full reproductive capacity prior to the commencement of distant-water fisheries in the most recent PFA year, except for maturing 1SW stocks in the Tana/Teno (Finland & Norway) and Russia and non-maturing stock in Tana/Teno which were suffering reduced reproductive capacity (Figure 3.3.4.3). Returning and spawning 1SW and MSW stocks in Sweden and Norway were at full reproductive capacity in the most recent assessment. However, both 1SW and MSW returns and spawner stocks in the River Teno/Tana (Finland & Norway) and in Russia were suffering reduced reproductive capacity, except for MSW returns in Russia which were at full reproductive capacity (Figures 3.3.4.4 and 3.3.4.5). In addition, 1SW spawners in Iceland were at risk of suffering reduced reproductive capacity.

In Southern NEAC, maturing and non-maturing stocks in UK (Northern Ireland), Ireland and France were suffering or at risk of suffering reduced reproductive capacity both prior to the commencement of distant-water fisheries and at spawning (Figures 3.3.4.3–3.3.4.5). In contrast, UK (Scotland) maturing and non-maturing stocks were at full reproductive capacity both prior to the commencement of distant water fisheries and at spawning. In UK (England & Wales), the
maturing stock was suffering reduced reproductive capacity both prior to the commencement of distant water fisheries and at spawning, whereas the non-maturing 1SW stock and MSW spawn- ers were at full reproductive capacity throughout (Figures 3.3.4.3–3.3.4.5).

Figures 3.3.4.6 and 3.3.4.7 provide more detailed descriptions of the status of returning and spawning stocks by country and region (where assessed) for both Northern and Southern NEAC stocks, again for the most recent return year.

3.3.5 Compliance with river-specific conservation limits

In the NEAC area, nine jurisdictions currently assess salmon stocks using river-specific CLs (Ta-
bles 3.3.5.1 and 3.3.5.2 and Figure 3.3.5.1). The attainment of CLs is assessed based on spawnners,
after fisheries.

* For the River Teno (Finland/Norway), the number of major tributary stocks with estab-
  lished CLs rose from nine between 2007 and 2012 (with five annually assessed against
  CL), to 24 (25 including the main stem) since 2013 (with seven to 15 assessed against CL).
  No stocks met CL prior to 2013. Since then, CL attainment has fluctuated within a range
  of 20% to 40%. In 2020, including the main stem, three out of 15 (20%) assessable stocks
  attained CL.

* CLs were established for 439 Norwegian salmon rivers in 2009, but CL attainment was retrospectively assessed for 165–170 river stocks back to 2005. An average of 177 stocks are assessed since 2009. A mean of 64% of river stocks have met CL over the time-series. Since 2015 ≥ 74% of assessed stocks have met CL with 75% attainment in 2019 (data are pending for 2020).

* Since 1999, CLs have been established for 85 river stocks in Russia (Murmansk region). Eight of these have been annually assessed for CL attainment, of which 88% have consistently met their CL. In 2020, two were assessed with one of these meeting CL.

* Sweden established CLs in 2016 for 23 stocks which rose to 24 stocks since 2017. Eight of the 21 stocks (38%) met CL in 2016. A mean of 28% of assessed stocks have met CL since then with 25% attaining CL in 2020.

* In France, CLs were established for 27 river stocks in 2011, rising to 37 since 2018. A mean of 6% of assessed stocks have met CL over the time-series with 3% attaining CL in 2020.

* Ireland established CLs for all 141 stocks in 2007, rising to 144 since 2020 to include sub-catchments associated with hydrodams. The mean percentage of stocks meeting CLs is 36% over the time-series, with the highest attainment of 41% achieved in 2011 and 2012. This has been followed by a progressive decline thereafter to 27% in 2020.

* UK (England & Wales) established CLs in 1993 for 61 rivers, increasing to 64 from 1997 with an overall mean of 43% meeting CL over the time-series. In 2020, 33% of assessed stocks met CL which is an increase on the two preceding years.

* Data on UK (Northern Ireland) river-specific CLs are presented from 2002, when CLs were assigned to ten river stocks. Since 2012, 19 stocks have established CLs with up to 18 of these assessed annually for CL attainment. A mean of 42% have met their CLs over the time-series. A downward trend was evident from 2016 (76%) to 2019 (33%). However, 69% of assessed stocks attained CL in 2020, albeit with less systems assessed than preceding years.

* UK (Scotland) have established CLs for 173 assessment groups (rivers and small groups of rivers) with retrospective assessment conducted to 2011. For domestic management, stock status is expressed as the probability of achieving CL and attainment is set at 60%. Mean attainment over the time-series was 51%. In 2019, the most recent reporting year available, 44% of assessment groups met CL, an increase of 14% on the preceding year.
* No river-specific CLs have been established for Denmark, Germany and Spain. Iceland has set provisional CLs for all salmon producing rivers and continues to work towards finalising an assessment process for determining CL attainment.

### 3.3.6 Return rates

An overview of the trends of return rates for wild- and hatchery-reared smolts returning to homewaters (i.e. before homewater exploitation) is presented in Figure 3.3.6.1. The figure shows the proportional change in five-year mean return rates for smolt to 1SW (smolt years 2015–2019, inclusive) and smolt to 2SW (smolt years 2014-2018, inclusive) returns to rivers of Northern and Southern NEAC areas compared to their mean returns for the previous five-year period. It should be noted that: (1) Northern NEAC is represented only by the River Imsa (1SW and 2SW) in Norway, but smolt Passive Integrated Transponder (PIT)-tagging started in three rivers in Norway in 2016 and more rivers are likely to be added in future; (2) the proportional change of return rates for hatchery smolts from Southern NEAC again includes the River Bush from UK (Northern Ireland), together with Ireland and Iceland rivers; and (3) that the scale of change in some rivers is influenced by low return numbers creating high uncertainty, which might have a large consequence on the proportional change.

In Northern NEAC, the recent five-year mean return rate of wild smolts to the River Imsa (Norway) as 1SW returns is unchanged compared to the previous five years, and as 2SW returns has decreased over the same period from 2.24% to 1.18%. The same pattern is seen in hatchery smolts returning to the River Imsa, although more pronounced with hatchery smolts returning as 1SW returns increasing from 2.16% to 2.44% and as 2SW returns decreasing from 1.38% to 0.40%.

In Southern NEAC, the pattern in five-year mean return rate of wild smolts as 1SW returns compared to the previous five years was mixed, with three rivers decreasing and five rivers increasing. The largest decrease was on the River Dee (UK (England & Wales)) from 2.15% to 1.00%, and the largest increase was on the River Tamar (UK (England & Wales)) from 2.33% to 4.54%. The pattern in hatchery smolts returning as 1SW compared to the previous five years was also mixed, with three rivers increasing and six rivers decreasing. Five-year mean return rates of wild smolts as 2SW returns decreased compared to the previous five years in all but the River Dee, which increased from 0.95% to 3.20%, and the largest decrease was on the River Bush (UK (Northern Ireland)) from 1.10% to 0.45%.

The annual return rates for different rivers and experimental facilities are presented in Tables 3.3.6.1 and 3.3.6.2. From these data, least squared (or marginal) mean annual return rates were estimated to provide indices of survival for Northern and Southern NEAC 1SW and 2SW returning adult wild and hatchery salmon groups (Figure 3.3.6.2). To account for variation due to the number of contributing experimental groups, mean annual return rates were estimated using a GLM (Generalised Linear Model) with return rates related to smolt year and river, each as factors, with a quasi-Poisson distribution (log-link function). All reported annual return rates were used to estimate the mean annual return rates, i.e. there was no restriction on the numbers of years reported to ensure the maximum number of rivers could contribute. Note that estimated year effects are presented on a log-scaled y-axis.

Return rates of wild and hatchery smolts to Northern NEAC are variable. They have generally decreased since 1980, although rates of 1SW returns from wild smolts have stabilised since 2010, and from hatchery smolts have increased since 2005 (Figure 3.3.6.2). Rates of 2SW returns from hatchery smolts to Northern NEAC are highly variable, but have continued to decline in 2019, especially for hatchery smolts. Mean return rates of wild and hatchery smolts to Southern NEAC are less variable, primarily because they are estimated from more rivers. They too have generally
decreased since 1980, although rates of 2SW returns from wild smolts started to increase since
2005, a trend that continued in 2019.

The low return rates in recent years highlighted in these analyses are broadly consistent with the trends in estimated returns and spawners as derived from the PFA model (Section 3.3.4), and suggest that abundance is strongly influenced by factors in the marine environment.

**3.4 PFA forecasts**

In 2021, the Working Group ran forecast models for the Southern NEAC and Northern NEAC complexes independently, and for countries within each stock complex. The model and its application are described in detail in Section 3.2.2 of the Stock Annex.

**3.4.1 Description of forecast model**

The stock complex and country scale models follow the same basic structure, differing in the scale over which the data are aggregated. In the country scale models, parallel data streams and analyses for each of the countries comprising the stock complex are modelled. These data are aggregated in the stock complex models.

The PFA is modelled within a Bayesian framework using the summation of lagged eggs from 1SW and MSW fish corresponding to a PFA year together with an exponential productivity parameter inferred from the proportionality between the log of lagged eggs and PFA. The maturing PFA and the non-maturing PFA recruitment streams are subsequently calculated from the inferred proportion of PFA maturing parameter for each year. Both the productivity parameter and the proportion maturing parameter are modelled using a random walk.

For the stock complex models, catches of salmon in the West Greenland fishery (as 1SW non-maturing salmon) and at Faroes (as 1SW maturing and MSW salmon) are introduced as covariates and incorporated directly within the inference and forecast structure of the model. For the country disaggregated model, country-specific catch proportions at Faroes, lagged eggs and returns of maturing and non-maturing components are used.

Forecasts for maturing and non-maturing stocks were derived for each stock complex (and country) for five years, from 2020 to 2024. Risks were defined each year as the posterior probability that the PFA would be above the age and stock complex-specific Spawner Escapement Reserves (SERs). For illustrative purposes, risk analyses were derived based on the probability that the maturing and non-maturing PFAs would be greater than or equal to the maturing and non-maturing SERs under the scenario of no exploitation, for both the northern and southern complexes.

**3.4.2 Results of the NEAC stock complex Bayesian forecast models**

The trends in the posterior estimates of PFA for both the Southern NEAC and Northern NEAC complexes match the PFA estimates derived from the run-reconstruction model (Section 3.3.4). From these, the productivity parameters (*a*) and the proportions maturing (*p.PFAm*) are derived and forecasts for the time period 2020 to 2024 modelled.

For the Southern NEAC stock complex, the proportion of maturing 1SW parameter shows a declining trend from 1996 to present with the productivity parameter showing a general decline over the entire time-series (Figure 3.4.2.1). It should be noted that the results for the full time-series can change when the assessment is re-run from year to year and as the input data are refined (Section 3.3.4).
* The median estimate of the maturing PFA stock component is forecast to fall below the SER for 2022 and 2023, however remains above for 2020, 2021 and 2024 (Table 3.4.2.1).

* The median non-maturing PFA stock component is forecast to remain above the SER for all forecast years.

* These PFA dynamics mirror the forecast of total lagged eggs which decline from 2020 to 2023, reaching the lowest level on record, before rising again in 2024.

In the Northern NEAC stock complex, the parameter for proportion maturing is generally lower in the latter half of the time-series (Figure 3.4.2.2). The productivity parameter is highly variable but has shown a general decline over the time-series although not as pronounced as for the Southern NEAC stock complex.

* In the Northern NEAC stock complex (Figure 3.4.2.2), the median PFA for maturing stocks is forecast to remain above SER from 2020 to 2024, with a small decline for the last two years of the forecast. The probability of exceeding the SER reaches a low of 0.87 in 2024 (Table 3.4.2.1).

* PFA for the non-maturing stock complex is forecast to remain stable for 2020 and 2021 and decline from 2022 to 2024. However, the lowest forecast probability of exceeding the SER is still large at 0.93 in 2024.

### 3.4.3 Results of the NEAC country level Bayesian forecast models and probabilities of PFAs attaining SERs

Figures 3.4.3.1 to 3.4.3.11 show country level maturing and non-maturing PFA forecasts, with the probabilities of PFAs exceeding the SERs detailed in Table 3.4.3.1 for Southern NEAC countries and Table 3.4.3.2 for Northern NEAC countries.

Of note in the forecasts of Southern NEAC countries:

* France: the forecast (2020 to 2024) median maturing PFA is consistently below the SER. With the exception of 2023, the median non-maturing PFA is above SER.

* Ireland: for both maturing and non-maturing stocks, the median PFA is below the SER for forecasted years (2020 to 2024).

* UK (Northern Ireland): for both maturing and non-maturing stocks, the median PFA is below the SER for forecasted years (2020 to 2024).

* UK (England & Wales): the median estimate for maturing PFA is forecast to remain below the SER between 2020 and 2024, while the median non-maturing PFA is forecast to remain above the SER, with probabilities of exceeding SER above 0.9.

* UK (Scotland): the general decline in maturing and non-maturing PFA is forecast to continue, however, probabilities of attaining SER are high, with lows of 0.7 and 0.63 for the maturing and non-maturing stocks, respectively (Table 3.4.3.1).

* Iceland (south/west regions): maturing and non-maturing PFA are both forecast to decline, with the median maturing PFA falling below SER in 2024. Proportion maturing is high compared to levels seen in the early 1980s.

Of note in the forecasts of Northern NEAC countries:

* Russia: PFA forecasts show a continuation of the general decline in the time-series, reaching lows in probability of attaining SER of 0.27 for maturing stock and 0.40 for non-maturing stock in 2023. Lagged eggs for the non-maturing component are forecast to sharply decline between 2020 and 2022, remaining low in 2023 and 2024.

* Finland: the forecast PFA for maturing and non-maturing stock show slow declines with probability of attaining SER remaining at or below 0.41 for both components.
* Norway: PFA for both stock components are predicted to remain above the SERs with probabilities of attaining SER above 0.91.

* Sweden: PFA for both stock components are forecast to increase between 2020 and 2024. Probability of attaining SER is between 0.65 and 0.84 for maturing PFA and between 0.90 and 0.96 for non-maturing PFA.

* Iceland (north/east regions): maturing and non-maturing PFAs remain generally above the SERs but are forecast to decline between 2021 and 2024. Probabilities of attaining SER ranging between 0.89 and 0.60 for the maturing component and between 0.80 and 0.56 for the non-maturing component.

## 3.5 Catch options or alternative management advice

### 3.5.1 Catch advice for Faroes

The Faroes risk framework (ICES, 2013) has been used to evaluate catch options for the Faroes fishery in the 2021/2022, 2022/2023 and 2023/2024 fishing seasons (October to May). The assumptions and data used in the catch options assessment are described in the Stock Annex. The procedure used for estimating the stock composition was as described by ICES (2015); all other input data were as described by ICES (2013).

The Working Group applied the risk framework model to the four management units previously used for the provision of catch advice (maturing and non-maturing 1SW recruits for Northern and Southern NEAC) and also for the two age groups in ten NEAC countries (i.e. 20 management units). Germany, Spain and Denmark are not currently included in the PFA or catch advice assessments. North American fish form part of the catch and are accounted for in the catch advice for NEAC. The risk framework estimates the probability that the PFA of maturing and non-maturing 1SW salmon in each of the management units will meet or exceed their respective SERs at different catch levels (TAC options). ICES have advised that the management objective should have a greater than 95% probability of meeting or exceeding the SER in each management unit. As NASCO has not yet adopted a management objective, the advice tables provide the probabilities for each management unit and the probabilities of simultaneous attainment of all SERs for each TAC option.

As an example, a 20 t TAC option would result in a catch of about 5000 fish in the Faroes. The great majority (>97.5%) of these would be expected to be MSW fish. Once the sharing allocation (8.4%) is applied, and the numbers are adjusted for natural mortality to the same seasons as the PFA, this equates to about 650 maturing and 84 000 non-maturing 1SW fish equivalents assumed to be caught by all fisheries. The maturing and non-maturing 1SW components are split according to the new catch composition estimates, and these values are deducted from the PFA values which are then compared with the following SERs (from Table 3.2.1.1):

<table><tr><td>Northern NEAC maturing 1SW:</td><td>174 727 fish</td></tr><tr><td>Northern NEAC non-maturing 1SW:</td><td>209 236 fish</td></tr><tr><td>Southern NEAC maturing 1SW:</td><td>553 846 fish</td></tr><tr><td>Southern NEAC non-maturing 1SW:</td><td>295 582 fish</td></tr></table>

Note that the Southern NEAC SERs are substantially lower than last year's figures (745 036 and 497 776 for maturing and non-maturing 1SW salmon, respectively). This is largely due implementation of new river-specific CLs for UK (Scotland) that account for approximately 50% of the Southern NEAC PFA. The new CLs are estimated within a Bayesian hierarchical model and represent an improvement over previously used values which were based on the establishment of
pseudo stock-recruitment relationships for national stocks (Section 3.3.2). However, the new values are lower than in previous years. In 2021, UK (Northern Ireland) revised the CL for the Loughs Agency area (River Foyle). The updated CL is based on new stock-recruitment data for the River Foyle which is an improvement over the use of the River Bush stock-recruitment relationship on this river, as done previously. The new River Foyle values are higher than in previous years, but this change had a limited effect on the Southern NEAC SERs.

## Catch Advice based on Stock Complexes

The probabilities of the Northern and Southern NEAC stock complexes achieving their SERs for different catch options are shown in Table 3.5.1.1 and Figure 3.5.1.1. The probabilities with a zero TAC are the same as the values generated directly by the forecast model (Section 3.4). In the Northern NEAC stock complex, over the forecast period, the non-maturing 1SW component has a high probability (≥95%) of achieving its SER for TACs at Faroes solely for a catch option of ≤20 t in the 2021/2022 season. The maturing 1SW component in the Northern NEAC stock complex and both Southern NEAC stock complex components each have less than 95% probability of achieving their SERs with any TAC option in any of the forecast seasons. Therefore, there are no catch options that ensure a greater than 95% probability of each stock complex achieving its SER.

The slope of the curves in the catch option figures (Figure 3.5.1.1) is chiefly a function of the level of exploitation on the stocks resulting from a particular TAC in the Faroes fishery and the uncertainty in the parameter values used in the model. The relative flatness of some of the risk curves, particularly for the maturing 1SW stocks, indicates that the risk to these management units is affected very little by any harvest at Faroes, principally because the exploitation rates on these stock components in the fishery are very low (Table 3.5.1.2).

## Catch Advice based on Countries

The probabilities of the NEAC national maturing and non-maturing 1SW management units achieving their SERs for different catch options are shown in Tables 3.5.1.3 and 3.5.1.4, respectively. The probabilities of the maturing 1SW national management units achieving their SERs in 2021/2022 vary between 22% (UK, England & Wales) and 97% (Norway) for the different countries with zero catch at Faroes. These probabilities decline very little with increasing TAC options, reflecting the expected low exploitation rate on maturing 1SW stocks at Faroes (Table 3.5.1.5). The probabilities are also generally lower for the two subsequent seasons.

The probabilities of the non-maturing 1SW national management units achieving their SERs in 2021/2022 vary between 20% (UK, Northern Ireland) and 99% (Norway) with zero catch allocated for the Faroes fishery and decline with increasing TAC options. The only countries to have a greater than 95% probability of achieving their SERs with catch options for Faroes are Norway (TACs ≤40 t) and UK (England & Wales) (TACs ≤40 t). In most countries, these probabilities are lower in the subsequent two seasons. There are, therefore, no TAC options at which all management units would have a greater than 95% probability of achieving their SERs.

The Catch Options Model indicates that the exploitation rates on national maturing 1SW management units in the Northern and Southern NEAC areas are low (≤0.3% and ≤0.7%, respectively), at TACs up to 200 t (Table 3.5.1.5). Assuming any fishery at Faroes would be operated as in the past, and efforts would be made to minimise catches of 1SW fish, the stocks represented by these management units would be largely unaffected by a fishery. This is not the case for the non-maturing 1SW where exploitation rates can be above 15% (Russia), at TACs up to 200 t (Table 3.5.1.6). It should also be noted that the catch advice assumes that the exploitation rate at Faroes represents only about 8% of the total exploitation of this component of the stocks.
**River-specific assessments**

ICES (2012) emphasised the problem of basing the risk analysis on management units comprising large numbers of river stocks and recommended that in providing catch advice at the age and stock complex levels for Northern and Southern NEAC, consideration should be given to the recent performance of the river stocks within individual countries. At present, insufficient monitoring occurs to assess performance of all individual stocks in all countries or jurisdictions in the NEAC area (see Section 3.2). In some instances, CLs are in the process of being developed (e.g. Iceland).

The percent of stocks attaining their CLs within each jurisdiction in the NEAC area for which data are available is given in Table 3.3.5.1 (Northern NEAC) and Table 3.3.5.2 (Southern NEAC). The total number of stocks in each jurisdiction which can be assessed against a stock-specific CL are also shown. For Northern NEAC, the percent of assessed stocks within each jurisdiction meeting their CLs ranges between 20% (Teno/Tana River, Finland/Norway) to 88% (Russia) in the two last years (2019 and 2020). For Southern NEAC, this range goes from 0% (France) to 69% (UK, Northern Ireland). Despite the absence of a fishery at Faroes since 1999, and reduced exploitation at West Greenland on the MSW Southern NEAC component, the abundance at the PFA stage in a substantial proportion of stocks in the NEAC area is likely to have been below their stock-specific CLs.

The Working Group, therefore, notes that there are no catch options for the Faroes fishery that would allow all national or stock complex management units to achieve their SERs with a greater than 95% probability in any of the seasons up to 2023/2024. While the abundance of stocks remains low, even in the absence of a fishery at Faroes, particular care should be taken to ensure that fisheries in homewaters are managed to protect stocks that are below their CLs.

**3.5.2 Relevant factors to be considered in management**

The management of a fishery should ideally be based upon the status of all river stocks exploited in the fishery. Fisheries on mixed-stocks pose particular difficulties for management, when they cannot target only stocks that are at full reproductive capacity. Management objectives would be best achieved if fisheries target stocks that are at full reproductive capacity. Fisheries in estuaries and especially rivers are more likely to meet this requirement. The Working Group also emphasises that the national stock CLs are not appropriate to the management of homewater fisheries. This is because fisheries in homewaters usually target individual or smaller groups of river stocks and can therefore be managed on the basis of their expected impact on the status of the separate stocks.

**3.6 Framework of indicators**

**3.6.1 Background**

In the intermediate years of a multiyear catch agreement, an interim assessment is made as a check of the PFA forecasts and to determine whether a full re-assessment of stock status and new catch advice might be required (Figure 3.6.1.1). This assessment relies on a framework of indicators (FWI) which the Working Group has developed to check whether stock status may have changed markedly in any year from that based on the PFA forecast. Full details of the FWI are provided in the Stock Annex. If the FWI suggests that the stock may have performed differently than that projected by the forecast model, a new assessment and new catch advice would be requested. After a period of three years, a full assessment is required regardless in order to inform a potential new multi-annual agreement. Thus, the FWI is not applied and the cycle is started over again.
Indicator time-series are included in the framework based on the following criteria:

* at least ten datapoints;

* a coefficient of determination ($r^2$) of at least 0.2 for a linear regression between the indicator time-series and the estimated pre-fishery abundance of the relevant stock complex;

* regression significant at the 0.05 probability level; and

* available for inclusion in the FWI in early January.

The FWI was first presented by the Working Group in 2012 (ICES, 2012), and first applied in 2013. Further refinements were made to the FWI in 2013 (ICES, 2013), 2016 (ICES, 2016) and 2018 (ICES, 2018); full details of the changes are provided in the Stock Annex. The latter change resulted in only stock complexes that would be appropriate to changing the multi-year advice being included in the framework in the years between the provision of full catch advice. Thus, in 2017, the FWI was applied using only the indicators for the Southern NEAC 1SW and MSW stock complexes.

As future catch advice could be determined by the status of stocks in any of the four stock complexes, indicators for each of these have been retained in the FWI. However, in any year, the FWI can be applied such that it will only be necessary to apply the indicators from those stock complexes that could result in a change in the multi-year advice following a reassessment. For 2021 (to be applied in January 2022) and 2022 (to be applied in January 2023), this would mean that indicators for Southern NEAC 1SW and MSW salmon, Northern NEAC 1SW and MSW salmon should be considered.

### 3.6.2 Progress in 2020

During its meeting in 2021, the Working Group updated the FWI. Summary statistics for the candidate indicator datasets are shown for the Northern NEAC and Southern NEAC stock complexes in Tables 3.6.2.1 and 3.6.2.2, respectively. For the Northern NEAC stock complex, six indicator datasets for the 1SW component and five for the MSW component have been retained in the framework for 2021 (to be applied in January 2022) and 2022 (to be applied in January 2023). The 1SW catches in the Tana/Teno river also fulfilled the criteria for inclusion as an indicator for the 1SW component, but since fishing regulations have changed substantially in this river they were not included in the FWI. For the Southern NEAC stock complex, nine indicator datasets for the 1SW component and nine for the MSW component have been retained in the framework for 2021 (to be applied in January 2022) and 2022 (to be applied in January 2023). No indicators were dropped and two were added, since 2018 due to altered $r^2$ values for the respective indicators.

It is anticipated that most datasets included in the updated FWI will be available in January (when the FWI is required to be run), although this represents a challenging timescale for some indicators. The updated FWI is illustrated in Figure 3.6.2.1.

### 3.6.3 Next steps

Assuming a new multi-annual agreement is confirmed, the updated FWI will be made available to NASCO to enable them to facilitate intermediate assessments in 2022 and 2023 to determine whether new catch advice might be required. The FWI will then need to be updated, and a new three-year cycle started in 2024.
<table><caption>Table 3.1.3.1. Number of gear units licensed or authorised by country and gear type.</caption><thead><tr><th rowspan="2">Year</th><th colspan="5">UK (England & Wales)</th><th colspan="2">UK (Scotland)(11)</th><th colspan="2">UK (N. Ireland)</th><th colspan="2">Ireland</th><th colspan="4">France</th></tr><tr><th>Gillnet licences</th><th>Sweepnet</th><th>Hand-held net</th><th>Fixed engine</th><th>Rod & Line</th><th>Fixed engine (1)</th><th>Net and coble (2)</th><th>Driftnet</th><th>Draftnet</th><th>Bagnets and boxes</th><th>Driftnets No.</th><th>Draftnets</th><th>Other nets Commercial</th><th>Rod</th><th>Rod and line licences in freshwater</th><th>Commercial nets in freshwater (5)</th><th>Driftnet licences in estuary (6,7)</th></tr></thead><tbody><tr><td>1971</td><td>437</td><td>230</td><td>294</td><td>79</td><td>-</td><td>3080</td><td>800</td><td>142</td><td>305</td><td>18</td><td>916</td><td>697</td><td>213</td><td>10 566</td><td>-</td><td>-</td><td>-</td></tr><tr><td>1972</td><td>308</td><td>224</td><td>315</td><td>76</td><td>-</td><td>3455</td><td>813</td><td>130</td><td>307</td><td>18</td><td>1156</td><td>678</td><td>197</td><td>9612</td><td>-</td><td>-</td><td>-</td></tr><tr><td>1973</td><td>291</td><td>230</td><td>335</td><td>70</td><td>-</td><td>3256</td><td>891</td><td>130</td><td>303</td><td>20</td><td>1112</td><td>713</td><td>224</td><td>11 660</td><td>-</td><td>-</td><td>-</td></tr><tr><td>1974</td><td>280</td><td>240</td><td>329</td><td>69</td><td>-</td><td>3188</td><td>782</td><td>129</td><td>307</td><td>18</td><td>1048</td><td>681</td><td>211</td><td>12 845</td><td>-</td><td>-</td><td>-</td></tr><tr><td>1975</td><td>269</td><td>243</td><td>341</td><td>69</td><td>-</td><td>2985</td><td>773</td><td>127</td><td>314</td><td>20</td><td>1046</td><td>672</td><td>212</td><td>13 142</td><td>-</td><td>-</td><td>-</td></tr><tr><td>1976</td><td>275</td><td>247</td><td>355</td><td>70</td><td>-</td><td>2862</td><td>760</td><td>126</td><td>287</td><td>18</td><td>1047</td><td>677</td><td>225</td><td>14 139</td><td>-</td><td>-</td><td>-</td></tr><tr><td>1977</td><td>273</td><td>251</td><td>365</td><td>71</td><td>-</td><td>2754</td><td>684</td><td>126</td><td>293</td><td>19</td><td>997</td><td>650</td><td>211</td><td>11 721</td><td>-</td><td>-</td><td>-</td></tr><tr><td>1978</td><td>249</td><td>244</td><td>376</td><td>70</td><td>-</td><td>2587</td><td>692</td><td>126</td><td>284</td><td>18</td><td>1007</td><td>608</td><td>209</td><td>13 327</td><td>-</td><td>-</td><td>-</td></tr><tr><td>1979</td><td>241</td><td>225</td><td>322</td><td>68</td><td>-</td><td>2708</td><td>754</td><td>126</td><td>274</td><td>20</td><td>924</td><td>657</td><td>240</td><td>12 726</td><td>-</td><td>-</td><td>-</td></tr><tr><td>1980</td><td>233</td><td>238</td><td>339</td><td>69</td><td>-</td><td>2901</td><td>675</td><td>125</td><td>258</td><td>20</td><td>959</td><td>601</td><td>195</td><td>15 864</td><td>-</td><td>-</td><td>-</td></tr><tr><td>1981</td><td>232</td><td>219</td><td>336</td><td>72</td><td>-</td><td>2803</td><td>655</td><td>123</td><td>239</td><td>19</td><td>878</td><td>601</td><td>195</td><td>15 519</td><td>-</td><td>-</td><td>-</td></tr><tr><td>1982</td><td>232</td><td>221</td><td>319</td><td>72</td><td>-</td><td>2396</td><td>647</td><td>123</td><td>221</td><td>18</td><td>830</td><td>560</td><td>192</td><td>15 697</td><td>4145</td><td>55</td><td>82</td></tr><tr><td>1983</td><td>232</td><td>209</td><td>333</td><td>74</td><td>-</td><td>2523</td><td>668</td><td>120</td><td>207</td><td>17</td><td>801</td><td>526</td><td>190</td><td>16 737</td><td>3856</td><td>49</td><td>82</td></tr><tr><td>1984</td><td>226</td><td>223</td><td>354</td><td>74</td><td>-</td><td>2460</td><td>638</td><td>121</td><td>192</td><td>19</td><td>819</td><td>515</td><td>194</td><td>14 878</td><td>3911</td><td>42</td><td>82</td></tr><tr><td>1985</td><td>223</td><td>230</td><td>375</td><td>69</td><td>-</td><td>2010</td><td>529</td><td>122</td><td>168</td><td>19</td><td>827</td><td>526</td><td>190</td><td>15 929</td><td>4443</td><td>40</td><td>82</td></tr><tr><td>1986</td><td>220</td><td>221</td><td>368</td><td>64</td><td>-</td><td>1955</td><td>591</td><td>121</td><td>148</td><td>18</td><td>768</td><td>507</td><td>183</td><td>17 977</td><td>5919</td><td>58 (8)</td><td>86</td></tr><tr><td>1987</td><td>213</td><td>206</td><td>352</td><td>68</td><td>-</td><td>1679</td><td>564</td><td>120</td><td>119</td><td>18</td><td>768</td><td>507</td><td>183</td><td>17 977</td><td>5724 (9)</td><td>87 (9)</td><td>80</td></tr><tr><td>1988</td><td>210</td><td>212</td><td>284</td><td>70</td><td>-</td><td>1534</td><td>385</td><td>115</td><td>113</td><td>18</td><td>836</td><td>507</td><td>183</td><td>11 539</td><td>4346</td><td>101</td><td>76</td></tr><tr><td>1989</td><td>201</td><td>199</td><td>282</td><td>75</td><td>-</td><td>1233</td><td>353</td><td>117</td><td>108</td><td>19</td><td>801</td><td>507</td><td>183</td><td>16 484</td><td>3789</td><td>83</td><td>78</td></tr></tbody></table>
<table><thead><tr><th rowspan="2">Year</th><th colspan="5">UK (England & Wales)</th><th colspan="2">UK (Scotland)(11)</th><th colspan="2">UK (N. Ireland)</th><th colspan="2">Ireland</th><th colspan="2">France</th></tr><tr><th>Gillnet licences</th><th>Sweepnet</th><th>Hand-held net</th><th>Fixed engine</th><th>Rod & Line</th><th>Fixed engine (1)</th><th>Net and coble (2)</th><th>Driftnet</th><th>Draftnet</th><th>Bagnets and boxes</th><th>Driftnets No.</th><th>Draftnets</th><th>Other nets Commercial</th><th>Rod</th><th>Rod and line licences in freshwater</th><th>Commercial nets in freshwater (5)</th><th>Driftnet licences in estuary (6,7)</th></tr></thead><tbody><tr><td>1990</td><td>200</td><td>204</td><td>292</td><td>69</td><td>-</td><td>1282</td><td>340</td><td>114</td><td>106</td><td>17</td><td>756</td><td>525</td><td>189</td><td>15 395</td><td>2944</td><td>71</td><td>76</td></tr><tr><td>1991</td><td>199</td><td>187</td><td>264</td><td>66</td><td>-</td><td>1137</td><td>295</td><td>118</td><td>102</td><td>18</td><td>707</td><td>504</td><td>182</td><td>15 178</td><td>2737</td><td>78</td><td>71</td></tr><tr><td>1992</td><td>203</td><td>158</td><td>267</td><td>65</td><td>-</td><td>851</td><td>292</td><td>121</td><td>91</td><td>19</td><td>691</td><td>535</td><td>183</td><td>20 263</td><td>2136</td><td>57</td><td>71</td></tr><tr><td>1993</td><td>187</td><td>151</td><td>259</td><td>55</td><td>-</td><td>903</td><td>264</td><td>120</td><td>73</td><td>18</td><td>673</td><td>457</td><td>161</td><td>23 875</td><td>2104</td><td>53</td><td>55</td></tr><tr><td>1994</td><td>177</td><td>158</td><td>257</td><td>53</td><td>37 278</td><td>749</td><td>246</td><td>119</td><td>68</td><td>18</td><td>732</td><td>494</td><td>176</td><td>24 988</td><td>1672</td><td>14</td><td>59</td></tr><tr><td>1995</td><td>163</td><td>156</td><td>249</td><td>47</td><td>34 941</td><td>729</td><td>222</td><td>122</td><td>68</td><td>16</td><td>768</td><td>512</td><td>164</td><td>27 056</td><td>1878</td><td>17</td><td>59</td></tr><tr><td>1996</td><td>151</td><td>132</td><td>232</td><td>42</td><td>35 281</td><td>643</td><td>201</td><td>117</td><td>66</td><td>12</td><td>778</td><td>523</td><td>170</td><td>29 759</td><td>1798</td><td>21</td><td>69</td></tr><tr><td>1997</td><td>139</td><td>131</td><td>231</td><td>35</td><td>32 781</td><td>680</td><td>194</td><td>116</td><td>63</td><td>12</td><td>852</td><td>531</td><td>172</td><td>31 873</td><td>2953</td><td>10</td><td>59</td></tr><tr><td>1998</td><td>130</td><td>129</td><td>196</td><td>35</td><td>32 525</td><td>542</td><td>151</td><td>117</td><td>70</td><td>12</td><td>874</td><td>513</td><td>174</td><td>31 565</td><td>2352</td><td>16</td><td>63</td></tr><tr><td>1999</td><td>120</td><td>109</td><td>178</td><td>30</td><td>29 132</td><td>406</td><td>132</td><td>113</td><td>52</td><td>11</td><td>874</td><td>499</td><td>162</td><td>32 493</td><td>2225</td><td>15</td><td>61</td></tr><tr><td>2000</td><td>110</td><td>103</td><td>158</td><td>32</td><td>30 139</td><td>381</td><td>123</td><td>109</td><td>57</td><td>10</td><td>871</td><td>490</td><td>158</td><td>33 527</td><td>2037</td><td>16</td><td>51</td></tr><tr><td>2001</td><td>113</td><td>99</td><td>143</td><td>33</td><td>24 350</td><td>387</td><td>95</td><td>107</td><td>50</td><td>6</td><td>881</td><td>540</td><td>155</td><td>32 814</td><td>2080</td><td>18</td><td>63</td></tr><tr><td>2002</td><td>113</td><td>94</td><td>147</td><td>32</td><td>29 407</td><td>426</td><td>102</td><td>106</td><td>47</td><td>4</td><td>833</td><td>544</td><td>159</td><td>35 024</td><td>2082</td><td>18</td><td>65</td></tr><tr><td>2003</td><td>58</td><td>96</td><td>160</td><td>57</td><td>29 936</td><td>363</td><td>109</td><td>105</td><td>52</td><td>2</td><td>877</td><td>549</td><td>159</td><td>31 809</td><td>2048</td><td>18</td><td>60</td></tr><tr><td>2004</td><td>57</td><td>75</td><td>157</td><td>65</td><td>32 766</td><td>450</td><td>118</td><td>90</td><td>54</td><td>2</td><td>831</td><td>473</td><td>136</td><td>30 807</td><td>2158</td><td>15</td><td>62</td></tr><tr><td>2005</td><td>59</td><td>73</td><td>148</td><td>65</td><td>34 040</td><td>381</td><td>101</td><td>93</td><td>57</td><td>2</td><td>877</td><td>518</td><td>158</td><td>28 738</td><td>2356</td><td>16</td><td>59</td></tr><tr><td>2006</td><td>52</td><td>57</td><td>147</td><td>65</td><td>31 606</td><td>364</td><td>86</td><td>107</td><td>49</td><td>2</td><td>875</td><td>533</td><td>162</td><td>27 341</td><td>2269</td><td>12</td><td>57</td></tr><tr><td>2007</td><td>53</td><td>45</td><td>157</td><td>66</td><td>32 181</td><td>238</td><td>69</td><td>20</td><td>12</td><td>2</td><td>0</td><td>335</td><td>100</td><td>19 986</td><td>2431</td><td>13</td><td>59</td></tr><tr><td>2008</td><td>55</td><td>42</td><td>130</td><td>66</td><td>33 900</td><td>181</td><td>77</td><td>20</td><td>12</td><td>2</td><td>0</td><td>160</td><td>0</td><td>20 061</td><td>2401</td><td>12</td><td>56</td></tr><tr><td>2009</td><td>50</td><td>42</td><td>118</td><td>66</td><td>36 461</td><td>162</td><td>64</td><td>20</td><td>12</td><td>2</td><td>0</td><td>146</td><td>38</td><td>18 314</td><td>2421</td><td>12</td><td>37</td></tr><tr><td>2010</td><td>51</td><td>40</td><td>118</td><td>66</td><td>36 159</td><td>189</td><td>66</td><td>2</td><td>1</td><td>2</td><td>0</td><td>166</td><td>40</td><td>17 983</td><td>2200</td><td>12</td><td>33</td></tr></tbody></table>
<table><thead><tr><th rowspan="2">Year</th><th colspan="4">UK (England & Wales)</th><th colspan="2">UK (Scotland)(11)</th><th colspan="2">UK (N. Ireland)</th><th colspan="3">Ireland</th><th colspan="4">France</th></tr><tr><th>Gillnet licences</th><th>Sweepnet</th><th>Hand-held net</th><th>Fixed engine</th><th>Rod & Line</th><th>Fixed engine (1)</th><th>Net and coble (2)</th><th>Driftnet</th><th>Draftnet</th><th>Bagnets and boxes</th><th>Driftnets No.</th><th>Draftnets</th><th>Other nets Commercial</th><th>Rod</th><th>Rod and line licences in freshwater</th><th>Commercial nets in freshwater (5)</th><th>Driftnet licences in estuary (6,7)</th></tr></thead><tbody><tr><td>2011</td><td>53</td><td>41</td><td>117</td><td>66</td><td>36 991</td><td>201</td><td>74</td><td>2</td><td>1</td><td>2</td><td>0</td><td>154</td><td>91</td><td>19 899</td><td>2540</td><td>12</td><td>29</td></tr><tr><td>2012</td><td>51</td><td>34</td><td>115</td><td>73</td><td>35 135</td><td>237</td><td>79</td><td>1</td><td>1</td><td>2</td><td>0</td><td>149</td><td>86</td><td>19 588</td><td>2799</td><td>12</td><td>25</td></tr><tr><td>2013</td><td>49</td><td>29</td><td>111</td><td>62</td><td>33 301</td><td>238</td><td>59</td><td>0</td><td>0</td><td>0</td><td>0</td><td>181</td><td>94</td><td>19 109</td><td>3010</td><td>12</td><td>25</td></tr><tr><td>2014</td><td>48</td><td>34</td><td>109</td><td>65</td><td>31 605</td><td>204</td><td>56</td><td>0</td><td>0</td><td>0</td><td>0</td><td>122</td><td>37</td><td>18 085</td><td>2878</td><td>12</td><td>17</td></tr><tr><td>2015</td><td>52</td><td>33</td><td>102</td><td>63</td><td>30 847</td><td>127</td><td>65</td><td>0</td><td>0</td><td>0</td><td>0</td><td>100</td><td>6</td><td>18 460</td><td>2850</td><td>12</td><td>17</td></tr><tr><td>2016</td><td>49</td><td>34</td><td>105</td><td>62</td><td>30 214</td><td>13</td><td>43</td><td>0</td><td>0</td><td>0</td><td>0</td><td>98</td><td>4</td><td>18 303</td><td>3015</td><td>19</td><td>17</td></tr><tr><td>2017</td><td>46</td><td>32</td><td>112</td><td>57</td><td>35 162</td><td>10</td><td>41</td><td>0</td><td>0</td><td>0</td><td>0</td><td>105</td><td>5</td><td>18 212</td><td>4214</td><td>20</td><td>17</td></tr><tr><td>2018</td><td>38</td><td>30</td><td>87</td><td>57</td><td>31 655</td><td>0</td><td>26</td><td>0</td><td>0</td><td>0</td><td>0</td><td>97</td><td>8</td><td>16 755</td><td>3937</td><td>19</td><td>17</td></tr><tr><td>2019 (10)</td><td>14</td><td>13</td><td>60</td><td>49</td><td>29 126</td><td>0</td><td>18</td><td>0</td><td>0</td><td>0</td><td>0</td><td>67</td><td>10</td><td>17 238</td><td>3786</td><td>19</td><td>17</td></tr><tr><td>2020</td><td>17</td><td>13</td><td>64</td><td>43</td><td>28 387</td><td>0</td><td>18</td><td>0</td><td>0</td><td>0</td><td>0</td><td>68</td><td>10</td><td>16 000</td><td>3190</td><td>19</td><td>17</td></tr><tr><td>Mean</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></td><td></td><td></td></tr><tr><td>2015–2019</td><td>40</td><td>28</td><td>93</td><td>58</td><td>31 401</td><td>30</td><td>39</td><td>0</td><td>0</td><td>0</td><td>0</td><td>93</td><td>7</td><td>17 794</td><td>3560</td><td>18</td><td>17</td></tr><tr><td>% change (3)</td><td>-57.3</td><td>-54.2</td><td>-31.3</td><td>-25.3</td><td>-9.6</td><td>-100.0</td><td>-53.4</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>-27.2</td><td>51.5</td><td>-10.1</td><td>-10.4</td><td>-</td><td>-</td></tr><tr><td>Mean</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></td><td></td><td></td></tr><tr><td>2010–2019</td><td>45</td><td>32</td><td>104</td><td>62</td><td>33 020</td><td>122</td><td>53</td><td>1</td><td>0</td><td>1</td><td>0</td><td>124</td><td>38</td><td>18 363</td><td>3123</td><td>15</td><td>23</td></tr><tr><td>% change (3)</td><td>-62.3</td><td>-59.4</td><td>-38.2</td><td>-30.6</td><td>-14.0</td><td>-100.0</td><td>-65.8</td><td>-100.0</td><td>0</td><td>-100.0</td><td>0.0</td><td>-45.1</td><td>-73.8</td><td>-12.9</td><td>2.1</td><td>-</td><td>-</td></tr></tbody></table>

Notes:

<footnote n="1">1. Number of gear units expressed as trap months; 2. Number of gear units expressed as crew months; 3. (2020/mean - 1) * 100; 4. Dash means "no data"; 5. Lower Adour only since 1994 (Southwestern France), due to fishery closure in the Loire Basin; 6. Adour estuary only (Southwestern France); 7. Number of fishermen or boats using driftnets: overestimates the actual number of fishermen targeting salmon by a factor 2 or 3; 8. Common licence for salmon and sea trout introduced in 1986, leading to a short-term increase in the number of licences issued; 9. Compulsory declaration of salmon catches in freshwater from 1987 onwards; 10. Allowable effort in 2019 was zero throughout England and 1025 days were utilised in Wales; 11. Scotland data for 2020 not available at time of printing. 2019 values used as provisional values for 2020.</footnote>
<table><caption>Table 3.1.3.1 Cont'd. Number of gear units licensed or authorised by country and gear type.</caption><thead><tr><th rowspan="3">Year</th><th colspan="4">Norway</th><th colspan="3">Finland</th><th colspan="3">Russia</th></tr><tr><th rowspan="2">Bagnet</th><th rowspan="2">Bendnet</th><th rowspan="2">Liftnet</th><th rowspan="2">Driftnet (No. nets)</th><th colspan="2">The Teno River</th><th rowspan="2">Local rod and net fishery (fishermen)</th><th rowspan="2">R. Näätämö<br>Recreational fishery (fishermen)</th><th rowspan="2">Kola Peninsula</th><th rowspan="2">Archangel region<br>Commercial number of gears</th></tr><tr><th>Fishing days</th><th>Fishermen</th><th>Catch and release (fishing days)</th><th>Coastal</th><th>In-river</th></tr></thead><tbody><tr><td>1971</td><td>4608</td><td>2421</td><td>26</td><td>8976</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td>1972</td><td>4215</td><td>2367</td><td>24</td><td>13 448</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td>1973</td><td>4047</td><td>2996</td><td>32</td><td>18 616</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td>1974</td><td>3382</td><td>3342</td><td>29</td><td>14 078</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td>1975</td><td>3150</td><td>3549</td><td>25</td><td>15 968</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td>1976</td><td>2569</td><td>3890</td><td>22</td><td>17 794</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td>1977</td><td>2680</td><td>4047</td><td>26</td><td>30 201</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td>1978</td><td>1980</td><td>3976</td><td>12</td><td>23 301</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td>1979</td><td>1835</td><td>5001</td><td>17</td><td>23 989</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td>1980</td><td>2118</td><td>4922</td><td>20</td><td>25 652</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td>1981</td><td>2060</td><td>5546</td><td>19</td><td>24 081</td><td>16 859</td><td>5742</td><td>677</td><td>467</td><td>-</td><td>-</td><td>-</td></tr><tr><td>1982</td><td>1843</td><td>5217</td><td>27</td><td>22 520</td><td>19 690</td><td>7002</td><td>693</td><td>484</td><td>-</td><td>-</td><td>-</td></tr><tr><td>1983</td><td>1735</td><td>5428</td><td>21</td><td>21 813</td><td>20 363</td><td>7053</td><td>740</td><td>587</td><td>-</td><td>-</td><td>-</td></tr><tr><td>1984</td><td>1697</td><td>5386</td><td>35</td><td>21 210</td><td>21 149</td><td>7665</td><td>737</td><td>677</td><td>-</td><td>-</td><td>-</td></tr><tr><td>1985</td><td>1726</td><td>5848</td><td>34</td><td>20 329</td><td>21 742</td><td>7575</td><td>740</td><td>866</td><td>-</td><td>-</td><td>-</td></tr><tr><td>1986</td><td>1630</td><td>5979</td><td>14</td><td>17 945</td><td>21 482</td><td>7404</td><td>702</td><td>691</td><td>-</td><td>-</td><td>-</td></tr><tr><td>1987</td><td>1422</td><td>6060</td><td>13</td><td>17 234</td><td>22 487</td><td>7759</td><td>754</td><td>689</td><td>-</td><td>-</td><td>-</td></tr><tr><td>1988</td><td>1322</td><td>5702</td><td>11</td><td>15 532</td><td>21 708</td><td>7755</td><td>741</td><td>538</td><td>-</td><td>-</td><td>-</td></tr><tr><td>1989</td><td>1888</td><td>4100</td><td>16</td><td>0</td><td>24 118</td><td>8681</td><td>742</td><td>696</td><td>-</td><td>-</td><td>-</td></tr></tbody></table>
<table><thead><tr><th rowspan="3">Year</th><th colspan="4">Norway</th><th colspan="3">Finland</th><th colspan="3">Russia</th></tr><tr><th rowspan="2">Bagnet</th><th rowspan="2">Bendnet</th><th rowspan="2">Liftnet</th><th rowspan="2">Driftnet (No. nets)</th><th colspan="2">The Teno River</th><th rowspan="2">Local rod and net fishery (fishermen)</th><th colspan="2">R. Näätämö</th><th rowspan="2">Kola Peninsula</th><th colspan="2">Archangel region</th></tr><tr><th>Fishing days</th><th>Fishermen</th><th>Recreational Fishery Tourist anglers</th><th>Recreational fishery (fishermen)</th><th>Catch and release (fishing days)</th><th>Commercial number of gears</th><th>Coastal</th><th>In-river</th></tr></thead><tbody><tr><td>1990</td><td>2375</td><td>3890</td><td>7</td><td>0</td><td>19 596</td><td>7677</td><td>728</td><td>614</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td>1991</td><td>2343</td><td>3628</td><td>8</td><td>0</td><td>22 922</td><td>8286</td><td>734</td><td>718</td><td>1711</td><td>-</td><td>-</td><td>-</td></tr><tr><td>1992</td><td>2268</td><td>3342</td><td>5</td><td>0</td><td>26 748</td><td>9058</td><td>749</td><td>875</td><td>4088</td><td>-</td><td>-</td><td>-</td></tr><tr><td>1993</td><td>2869</td><td>2783</td><td>-</td><td>0</td><td>29 461</td><td>10 198</td><td>755</td><td>705</td><td>6026</td><td>59</td><td>199</td><td>-</td></tr><tr><td>1994</td><td>2630</td><td>2825</td><td>-</td><td>0</td><td>26 517</td><td>8985</td><td>751</td><td>671</td><td>8619</td><td>60</td><td>230</td><td>-</td></tr><tr><td>1995</td><td>2542</td><td>2715</td><td>-</td><td>0</td><td>24 951</td><td>8141</td><td>687</td><td>716</td><td>5822</td><td>55</td><td>239</td><td>-</td></tr><tr><td>1996</td><td>2280</td><td>2860</td><td>-</td><td>0</td><td>17 625</td><td>5743</td><td>672</td><td>814</td><td>6326</td><td>85</td><td>330</td><td>-</td></tr><tr><td>1997</td><td>2002</td><td>1075</td><td>-</td><td>0</td><td>16 255</td><td>5036</td><td>616</td><td>588</td><td>6355</td><td>68</td><td>282</td><td>-</td></tr><tr><td>1998</td><td>1865</td><td>1027</td><td>-</td><td>0</td><td>18 700</td><td>5759</td><td>621</td><td>673</td><td>6034</td><td>66</td><td>270</td><td>-</td></tr><tr><td>1999</td><td>1649</td><td>989</td><td>-</td><td>0</td><td>22 935</td><td>6857</td><td>616</td><td>850</td><td>7023</td><td>66</td><td>194</td><td>-</td></tr><tr><td>2000</td><td>1557</td><td>982</td><td>-</td><td>0</td><td>28 385</td><td>8275</td><td>633</td><td>624</td><td>7336</td><td>60</td><td>173</td><td>-</td></tr><tr><td>2001</td><td>1976</td><td>1081</td><td>-</td><td>0</td><td>33 501</td><td>9367</td><td>863</td><td>590</td><td>8468</td><td>53</td><td>121</td><td>-</td></tr><tr><td>2002</td><td>1666</td><td>917</td><td>-</td><td>0</td><td>37 491</td><td>10 560</td><td>853</td><td>660</td><td>9624</td><td>63</td><td>72</td><td>-</td></tr><tr><td>2003</td><td>1664</td><td>766</td><td>-</td><td>0</td><td>34 979</td><td>10 032</td><td>832</td><td>644</td><td>11 994</td><td>55</td><td>84</td><td>-</td></tr><tr><td>2004</td><td>1546</td><td>659</td><td>-</td><td>0</td><td>29 494</td><td>8771</td><td>801</td><td>657</td><td>13 300</td><td>62</td><td>56</td><td>-</td></tr><tr><td>2005</td><td>1453</td><td>661</td><td>-</td><td>0</td><td>27 627</td><td>7776</td><td>785</td><td>705</td><td>20 309</td><td>93</td><td>69</td><td>-</td></tr><tr><td>2006</td><td>1283</td><td>685</td><td>-</td><td>0</td><td>29 516</td><td>7749</td><td>836</td><td>552</td><td>13 604</td><td>62</td><td>72</td><td>-</td></tr><tr><td>2007</td><td>1302</td><td>669</td><td>-</td><td>0</td><td>33 664</td><td>8763</td><td>780</td><td>716</td><td>-</td><td>82</td><td>53</td><td>-</td></tr><tr><td>2008</td><td>957</td><td>653</td><td>-</td><td>0</td><td>31 143</td><td>8111</td><td>756</td><td>694</td><td>-</td><td>66</td><td>62</td><td>-</td></tr></tbody></table>
<table><thead><tr><th rowspan="3">Year</th><th colspan="4">Norway</th><th colspan="3">Finland</th><th colspan="2">Russia</th></tr><tr><th rowspan="2">Bagnet</th><th rowspan="2">Bendnet</th><th rowspan="2">Liftnet</th><th rowspan="2">Driftnet (No. nets)</th><th colspan="2">The Teno River</th><th>R. Näätämö</th><th rowspan="2">Kola Peninsula</th><th rowspan="2">Archangel region</th></tr><tr><th>Fishing days</th><th>Local rod and net fishery (fishermen)</th><th>Recreational fishery (fishermen)</th><th>Commercial number of gears</th></tr><tr><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th>Catch and release (fishing days)</th><th>Coastal</th><th>In-river</th></tr></thead><tbody><tr><td>2009</td><td>978</td><td>631</td><td>-</td><td>0</td><td>29 641</td><td>7676</td><td>761</td><td>656</td><td>79</td><td>72</td></tr><tr><td>2010</td><td>760</td><td>493</td><td>-</td><td>0</td><td>30 646</td><td>7814</td><td>756</td><td>615</td><td>55</td><td>66</td></tr><tr><td>2011</td><td>767</td><td>506</td><td>-</td><td>0</td><td>31 269</td><td>7915</td><td>776</td><td>727</td><td>78</td><td>52</td></tr><tr><td>2012</td><td>749</td><td>448</td><td>-</td><td>0</td><td>32 614</td><td>7930</td><td>785</td><td>681</td><td>72</td><td>53</td></tr><tr><td>2013</td><td>786</td><td>459</td><td>-</td><td>0</td><td>33 148</td><td>8074</td><td>785</td><td>558</td><td>110</td><td>71</td></tr><tr><td>2014</td><td>700</td><td>436</td><td>-</td><td>0</td><td>32 852</td><td>7791</td><td>746</td><td>396</td><td>57</td><td>74</td></tr><tr><td>2015</td><td>724</td><td>406</td><td>-</td><td>0</td><td>33 435</td><td>7809</td><td>765</td><td>232</td><td>81</td><td>62</td></tr><tr><td>2016</td><td>798</td><td>438</td><td>-</td><td>0</td><td>31 923</td><td>7273</td><td>712</td><td>512</td><td>42</td><td>59</td></tr><tr><td>2017</td><td>854</td><td>419</td><td>-</td><td>0</td><td>10 074</td><td>2468</td><td>506</td><td>405</td><td>29</td><td>54</td></tr><tr><td>2018</td><td>900</td><td>411</td><td>-</td><td>0</td><td>10 556</td><td>2586</td><td>507</td><td>512</td><td>56</td><td>58</td></tr><tr><td>2019</td><td>936</td><td>418</td><td>-</td><td>0</td><td>10 476</td><td>2931</td><td>481</td><td>524</td><td>53</td><td>25</td></tr><tr><td>2020</td><td>975</td><td>419</td><td>-</td><td>0</td><td>10 360</td><td>2462</td><td>490</td><td>541</td><td>41</td><td>22</td></tr><tr><td colspan="11">Mean</td></tr><tr><td>2015-2019</td><td>842</td><td>418</td><td>-</td><td>0</td><td>19 293</td><td>4 613</td><td>594</td><td>437</td><td>52</td><td>52</td></tr><tr><td>% change (3)</td><td>15.7</td><td>0.1</td><td>-</td><td>0.0</td><td>-46.3</td><td>-46.6</td><td>-17.5</td><td>23.8</td><td>-21.5</td><td>-57.4</td></tr><tr><td colspan="11">Mean</td></tr><tr><td>2010-2019</td><td>797</td><td>443</td><td>-</td><td>0</td><td>25 699</td><td>6 259</td><td>682</td><td>516</td><td>63</td><td>57</td></tr><tr><td>% change (3)</td><td>22.3</td><td>-5.5</td><td>-</td><td>0.0</td><td>-59.7</td><td>-60.7</td><td>-28.1</td><td>4.8</td><td>-35.2</td><td>-61.7</td></tr></tbody></table>

Notes: 3. (2020/mean - 1) * 100; 4. Dash means "no data."
<table><caption>Table 3.1.4.1. Nominal catch of salmon in the NEAC Area (in tonnes round fresh weight), 1960–2020 (2020 figures are provisional).</caption><thead><tr><th rowspan="2">Year</th><th rowspan="2">Southern countries</th><th rowspan="2">Northern countries (1)</th><th rowspan="2">Faroes (2)</th><th rowspan="2">Other catches in international waters</th><th rowspan="2">Total reported catch</th><th colspan="2">Unreported catches</th></tr><tr><th>NEAC Area (3)</th><th>International waters (4)</th></tr></thead><tbody><tr><td>1960</td><td>2641</td><td>2899</td><td>-</td><td>-</td><td>5540</td><td>-</td><td>-</td></tr><tr><td>1961</td><td>2276</td><td>2477</td><td>-</td><td>-</td><td>4753</td><td>-</td><td>-</td></tr><tr><td>1962</td><td>3894</td><td>2815</td><td>-</td><td>-</td><td>6709</td><td>-</td><td>-</td></tr><tr><td>1963</td><td>3842</td><td>2434</td><td>-</td><td>-</td><td>6276</td><td>-</td><td>-</td></tr><tr><td>1964</td><td>4242</td><td>2908</td><td>-</td><td>-</td><td>7150</td><td>-</td><td>-</td></tr><tr><td>1965</td><td>3693</td><td>2763</td><td>-</td><td>-</td><td>6456</td><td>-</td><td>-</td></tr><tr><td>1966</td><td>3549</td><td>2503</td><td>-</td><td>-</td><td>6052</td><td>-</td><td>-</td></tr><tr><td>1967</td><td>4492</td><td>3034</td><td>-</td><td>-</td><td>7526</td><td>-</td><td>-</td></tr><tr><td>1968</td><td>3623</td><td>2523</td><td>5</td><td>403</td><td>6554</td><td>-</td><td>-</td></tr><tr><td>1969</td><td>4383</td><td>1898</td><td>7</td><td>893</td><td>7181</td><td>-</td><td>-</td></tr><tr><td>1970</td><td>4048</td><td>1834</td><td>12</td><td>922</td><td>6816</td><td>-</td><td>-</td></tr><tr><td>1971</td><td>3736</td><td>1846</td><td>-</td><td>471</td><td>6053</td><td>-</td><td>-</td></tr><tr><td>1972</td><td>4257</td><td>2340</td><td>9</td><td>486</td><td>7092</td><td>-</td><td>-</td></tr><tr><td>1973</td><td>4604</td><td>2727</td><td>28</td><td>533</td><td>7892</td><td>-</td><td>-</td></tr><tr><td>1974</td><td>4352</td><td>2675</td><td>20</td><td>373</td><td>7420</td><td>-</td><td>-</td></tr><tr><td>1975</td><td>4500</td><td>2616</td><td>28</td><td>475</td><td>7619</td><td>-</td><td>-</td></tr><tr><td>1976</td><td>2931</td><td>2383</td><td>40</td><td>289</td><td>5643</td><td>-</td><td>-</td></tr><tr><td>1977</td><td>3025</td><td>2184</td><td>40</td><td>192</td><td>5441</td><td>-</td><td>-</td></tr><tr><td>1978</td><td>3102</td><td>1864</td><td>37</td><td>138</td><td>5141</td><td>-</td><td>-</td></tr><tr><td>1979</td><td>2572</td><td>2549</td><td>119</td><td>193</td><td>5433</td><td>-</td><td>-</td></tr><tr><td>1980</td><td>2640</td><td>2794</td><td>536</td><td>277</td><td>6247</td><td>-</td><td>-</td></tr><tr><td>1981</td><td>2557</td><td>2352</td><td>1025</td><td>313</td><td>6247</td><td>-</td><td>-</td></tr><tr><td>1982</td><td>2533</td><td>1938</td><td>606</td><td>437</td><td>5514</td><td>-</td><td>-</td></tr><tr><td>1983</td><td>3532</td><td>2341</td><td>678</td><td>466</td><td>7017</td><td>-</td><td>-</td></tr><tr><td>1984</td><td>2308</td><td>2461</td><td>628</td><td>101</td><td>5498</td><td>-</td><td>-</td></tr><tr><td>1985</td><td>3002</td><td>2531</td><td>566</td><td>-</td><td>6099</td><td>-</td><td>-</td></tr></tbody></table>
<table><thead><tr><th rowspan="2">Year</th><th rowspan="2">Southern countries</th><th rowspan="2">Northern countries (1)</th><th rowspan="2">Faroes (2)</th><th rowspan="2">Other catches in international waters</th><th rowspan="2">Total reported catch</th><th colspan="2">Unreported catches</th></tr><tr><th>NEAC Area (3)</th><th>International waters (4)</th></tr></thead><tbody><tr><td>1986</td><td>3595</td><td>2588</td><td>530</td><td>-</td><td>6713</td><td>-</td><td>-</td></tr><tr><td>1987</td><td>2564</td><td>2266</td><td>576</td><td>-</td><td>5406</td><td>2554</td><td>-</td></tr><tr><td>1988</td><td>3315</td><td>1969</td><td>243</td><td>-</td><td>5527</td><td>3087</td><td>-</td></tr><tr><td>1989</td><td>2433</td><td>1627</td><td>364</td><td>-</td><td>4424</td><td>2103</td><td>-</td></tr><tr><td>1990</td><td>1645</td><td>1775</td><td>315</td><td>-</td><td>3735</td><td>1779</td><td>180-350</td></tr><tr><td>1991</td><td>1145</td><td>1677</td><td>95</td><td>-</td><td>2917</td><td>1555</td><td>25-100</td></tr><tr><td>1992</td><td>1524</td><td>1806</td><td>23</td><td>-</td><td>3353</td><td>1825</td><td>25-100</td></tr><tr><td>1993</td><td>1443</td><td>1853</td><td>23</td><td>-</td><td>3319</td><td>1471</td><td>25-100</td></tr><tr><td>1994</td><td>1896</td><td>1684</td><td>6</td><td>-</td><td>3586</td><td>1157</td><td>25-100</td></tr><tr><td>1995</td><td>1775</td><td>1503</td><td>5</td><td>-</td><td>3283</td><td>942</td><td>-</td></tr><tr><td>1996</td><td>1394</td><td>1358</td><td>-</td><td>-</td><td>2752</td><td>947</td><td>-</td></tr><tr><td>1997</td><td>1112</td><td>962</td><td>-</td><td>-</td><td>2074</td><td>732</td><td>-</td></tr><tr><td>1998</td><td>1120</td><td>1099</td><td>6</td><td>-</td><td>2225</td><td>1108</td><td>-</td></tr><tr><td>1999</td><td>934</td><td>1139</td><td>0</td><td>-</td><td>2073</td><td>887</td><td>-</td></tr><tr><td>2000</td><td>1210</td><td>1518</td><td>8</td><td>-</td><td>2736</td><td>1135</td><td>-</td></tr><tr><td>2001</td><td>1242</td><td>1634</td><td>0</td><td>-</td><td>2876</td><td>1089</td><td>-</td></tr><tr><td>2002</td><td>1135</td><td>1360</td><td>0</td><td>-</td><td>2496</td><td>946</td><td>-</td></tr><tr><td>2003</td><td>908</td><td>1394</td><td>0</td><td>-</td><td>2303</td><td>719</td><td>-</td></tr><tr><td>2004</td><td>919</td><td>1059</td><td>0</td><td>-</td><td>1978</td><td>575</td><td>-</td></tr><tr><td>2005</td><td>809</td><td>1189</td><td>0</td><td>-</td><td>1998</td><td>605</td><td>-</td></tr><tr><td>2006</td><td>650</td><td>1217</td><td>0</td><td>-</td><td>1867</td><td>604</td><td>-</td></tr><tr><td>2007</td><td>372</td><td>1036</td><td>0</td><td>-</td><td>1407</td><td>465</td><td>-</td></tr><tr><td>2008</td><td>355</td><td>1178</td><td>0</td><td>-</td><td>1533</td><td>433</td><td>-</td></tr><tr><td>2009</td><td>266</td><td>898</td><td>0</td><td>-</td><td>1164</td><td>317</td><td>-</td></tr><tr><td>2010</td><td>410</td><td>1003</td><td>0</td><td>-</td><td>1414</td><td>357</td><td>-</td></tr><tr><td>2011</td><td>410</td><td>1009</td><td>0</td><td>-</td><td>1419</td><td>382</td><td>-</td></tr><tr><td>2012</td><td>295</td><td>955</td><td>0</td><td>-</td><td>1250</td><td>363</td><td>-</td></tr><tr><td>2013</td><td>310</td><td>770</td><td>0</td><td>-</td><td>1080</td><td>272</td><td>-</td></tr></tbody></table>
<table><thead><tr><th rowspan="2">Year</th><th rowspan="2">Southern countries</th><th rowspan="2">Northern countries (1)</th><th rowspan="2">Faroes (2)</th><th rowspan="2">Other catches in international waters</th><th rowspan="2">Total reported catch</th><th colspan="2">Unreported catches</th></tr><tr><th>NEAC Area (3)</th><th>International waters (4)</th></tr></thead><tbody><tr><td>2014</td><td>217</td><td>736</td><td>0</td><td>-</td><td>953</td><td>256</td><td>-</td></tr><tr><td>2015</td><td>222</td><td>859</td><td>0</td><td>-</td><td>1081</td><td>298</td><td>-</td></tr><tr><td>2016</td><td>186</td><td>842</td><td>0</td><td>-</td><td>1028</td><td>298</td><td>-</td></tr><tr><td>2017</td><td>151</td><td>863</td><td>0</td><td>-</td><td>1015</td><td>318</td><td>-</td></tr><tr><td>2018</td><td>125</td><td>804</td><td>0</td><td>-</td><td>929</td><td>279</td><td>-</td></tr><tr><td>2019</td><td>83</td><td>671</td><td>0</td><td>-</td><td>755</td><td>237</td><td>-</td></tr><tr><td>2020</td><td>93</td><td>685</td><td>0</td><td>-</td><td>778</td><td>239</td><td>-</td></tr><tr><td>Mean</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>2015–2019</td><td>154</td><td>808</td><td>0</td><td>-</td><td>961</td><td>286</td><td>-</td></tr><tr><td>2010–2019</td><td>241</td><td>851</td><td>0</td><td>-</td><td>1092</td><td>306</td><td>-</td></tr></tbody></table>

Notes:

1. All Icelandic catches have been included in Northern countries.

2. Since 1991, fishing carried out at the Faroes has only been for research purposes.

3. No unreported catch estimate available for Russia since 2008.

4. Estimates refer to season ending in given year.
<table><caption>Table 3.1.5.1. CPUE for salmon rod fisheries in Finland (Teno, Näätämö), France, and UK (N. Ireland) (Bush).</caption><thead><tr><th rowspan="2">Year</th><th colspan="2">Finland (R. Teno)</th><th colspan="2">Finland (R. Näätämö)</th><th>France</th><th>UK (N. Ireland) (Bush)</th></tr><tr><th>Catch per angler season (kg)</th><th>Catch per angler day (kg)</th><th>Catch per angler season (kg)</th><th>Catch per angler day (kg)</th><th>Catch per angler season (number)</th><th>Catch per rod day (number)</th></tr></thead><tbody><tr><td>1974</td><td></td><td>2.8</td><td></td><td></td><td></td><td></td></tr><tr><td>1975</td><td></td><td>2.7</td><td></td><td></td><td></td><td></td></tr><tr><td>1976</td><td></td><td>-</td><td></td><td></td><td></td><td></td></tr><tr><td>1977</td><td></td><td>1.4</td><td></td><td></td><td></td><td></td></tr><tr><td>1978</td><td></td><td>1.1</td><td></td><td></td><td></td><td></td></tr><tr><td>1979</td><td></td><td>0.9</td><td></td><td></td><td></td><td></td></tr><tr><td>1980</td><td></td><td>1.1</td><td></td><td></td><td></td><td></td></tr><tr><td>1981</td><td>3.2</td><td>1.2</td><td></td><td></td><td></td><td></td></tr><tr><td>1982</td><td>3.4</td><td>1.1</td><td></td><td></td><td></td><td></td></tr><tr><td>1983</td><td>3.4</td><td>1.2</td><td></td><td></td><td></td><td>0.248</td></tr><tr><td>1984</td><td>2.2</td><td>0.8</td><td>0.5</td><td>0.2</td><td></td><td>0.083</td></tr><tr><td>1985</td><td>2.7</td><td>0.9</td><td>n/a</td><td>n/a</td><td></td><td>0.283</td></tr><tr><td>1986</td><td>2.1</td><td>0.7</td><td>n/a</td><td>n/a</td><td></td><td>0.274</td></tr><tr><td>1987</td><td>2.3</td><td>0.8</td><td>n/a</td><td>n/a</td><td>0.39</td><td>0.194</td></tr><tr><td>1988</td><td>1.9</td><td>0.7</td><td>0.5</td><td>0.2</td><td>0.73</td><td>0.165</td></tr><tr><td>1989</td><td>2.2</td><td>0.8</td><td>1.0</td><td>0.4</td><td>0.55</td><td>0.135</td></tr><tr><td>1990</td><td>2.8</td><td>1.1</td><td>0.7</td><td>0.3</td><td>0.71</td><td>0.247</td></tr><tr><td>1991</td><td>3.4</td><td>1.2</td><td>1.3</td><td>0.5</td><td>0.60</td><td>0.396</td></tr><tr><td>1992</td><td>4.5</td><td>1.5</td><td>1.4</td><td>0.3</td><td>0.94</td><td>0.258</td></tr><tr><td>1993</td><td>3.9</td><td>1.3</td><td>0.4</td><td>0.2</td><td>0.88</td><td>0.341</td></tr><tr><td>1994</td><td>2.4</td><td>0.8</td><td>0.6</td><td>0.2</td><td>2.32</td><td>0.205</td></tr><tr><td>1995</td><td>2.7</td><td>0.9</td><td>0.5</td><td>0.1</td><td>1.15</td><td>0.206</td></tr><tr><td>1996</td><td>3.0</td><td>1.0</td><td>0.7</td><td>0.2</td><td>1.57</td><td>0.267</td></tr><tr><td>1997</td><td>3.4</td><td>1.0</td><td>1.1</td><td>0.2</td><td>0.44 (1)</td><td>0.338</td></tr><tr><td>1998</td><td>3.0</td><td>0.9</td><td>1.3</td><td>0.3</td><td>0.67</td><td>0.569</td></tr><tr><td>1999</td><td>3.7</td><td>1.1</td><td>0.8</td><td>0.2</td><td>0.76</td><td>0.27</td></tr><tr><td>2000</td><td>5.0</td><td>1.5</td><td>0.9</td><td>0.2</td><td>1.06</td><td>0.26</td></tr><tr><td>2001</td><td>5.9</td><td>1.7</td><td>1.2</td><td>0.3</td><td>0.97</td><td>0.44</td></tr></tbody></table>
<table><thead><tr><th rowspan="2">Year</th><th colspan="2">Finland (R. Teno)</th><th colspan="2">Finland (R. Näätämö)</th><th colspan="2">France</th><th colspan="2">UK (N. Ireland) (Bush)</th></tr><tr><th>Catch per angler season (kg)</th><th>Catch per angler day (kg)</th><th>Catch per angler season (kg)</th><th>Catch per angler day (kg)</th><th>Catch per angler season (number)</th><th>Catch per angler season (number)</th><th>Catch per rod day (number)</th><th>Catch per rod day (number)</th></tr></thead><tbody><tr><td>2002</td><td>3.1</td><td>0.9</td><td>0.7</td><td>0.2</td><td>0.84</td><td>0.18</td><td></td><td></td></tr><tr><td>2003</td><td>2.6</td><td>0.7</td><td>0.8</td><td>0.2</td><td>0.76</td><td>0.24</td><td></td><td></td></tr><tr><td>2004</td><td>1.4</td><td>0.4</td><td>0.9</td><td>0.2</td><td>1.25</td><td>0.25</td><td></td><td></td></tr><tr><td>2005</td><td>2.7</td><td>0.8</td><td>1.3</td><td>0.2</td><td>0.74</td><td>0.32</td><td></td><td></td></tr><tr><td>2006</td><td>3.4</td><td>1.0</td><td>1.9</td><td>0.4</td><td>0.89</td><td>0.46</td><td></td><td></td></tr><tr><td>2007</td><td>2.9</td><td>0.8</td><td>1.0</td><td>0.2</td><td>0.74</td><td>0.60</td><td></td><td></td></tr><tr><td>2008</td><td>4.2</td><td>1.1</td><td>0.9</td><td>0.2</td><td>0.77</td><td>0.46</td><td></td><td></td></tr><tr><td>2009</td><td>2.3</td><td>0.6</td><td>0.7</td><td>0.1</td><td>0.50</td><td>0.14</td><td></td><td></td></tr><tr><td>2010</td><td>3.0</td><td>0.8</td><td>1.3</td><td>0.2</td><td>0.87</td><td>0.23</td><td></td><td></td></tr><tr><td>2011</td><td>2.4</td><td>0.6</td><td>1.0</td><td>0.2</td><td>0.65</td><td>0.12</td><td></td><td></td></tr><tr><td>2012</td><td>3.6</td><td>0.9</td><td>1.7</td><td>0.4</td><td>0.61</td><td>0.15</td><td></td><td></td></tr><tr><td>2013</td><td>2.5</td><td>0.6</td><td>0.7</td><td>0.2</td><td>0.57</td><td>0.27</td><td></td><td></td></tr><tr><td>2014</td><td>3.3</td><td>0.8</td><td>1.4</td><td>0.3</td><td>0.73</td><td>0.15</td><td></td><td></td></tr><tr><td>2015</td><td>2.6</td><td>0.6</td><td>1.7</td><td>0.3</td><td>0.77</td><td>0.07</td><td></td><td></td></tr><tr><td>2016</td><td>2.9</td><td>0.7</td><td>1.1</td><td>0.2</td><td>0.60</td><td>0.05</td><td></td><td></td></tr><tr><td>2017</td><td>5.7</td><td>1.4</td><td>0.8</td><td>0.2</td><td>0.35</td><td>-</td><td></td><td></td></tr><tr><td>2018</td><td>2.6</td><td>0.6</td><td>0.9</td><td>0.2</td><td>0.25</td><td>-</td><td></td><td></td></tr><tr><td>2019</td><td>2.7</td><td>0.8</td><td>1.3</td><td>0.3</td><td>0.31</td><td>-</td><td></td><td></td></tr><tr><td>2020</td><td>3.2</td><td>0.8</td><td>0.7</td><td>0.2</td><td>0.27</td><td>-</td><td></td><td></td></tr><tr><td>Mean (2)</td><td>3.1</td><td>1.0</td><td>1.0</td><td>0.2</td><td>0.8</td><td>0.3</td><td></td><td></td></tr><tr><td>2015–2019</td><td>3.3</td><td>0.8</td><td>1.2</td><td>0.2</td><td>0.5</td><td>0.1</td><td></td><td></td></tr></tbody></table>

Notes:

1. Large numbers of new, inexperienced anglers in 1997 because cheaper licence types were introduced.

2. Mean of the time-series.
<table><caption>Table 3.1.5.2. CPUE for salmon in coastal and in-river fisheries the Archangelsk region (tonnes/gear) and catch and release rod fishery (fish/rod-day) in rivers of the Russian Kola peninsula.</caption><thead><tr><th rowspan="2">Year</th><th colspan="2">Archangelsk region commercial fishery</th><th colspan="3">Barents Sea basin</th><th rowspan="2">White Sea basin</th></tr><tr><th>Coastal</th><th>In-river</th><th>Rynda</th><th>Kharlovka</th><th>Eastern Litsa</th><th>Ponoi</th></tr></thead><tbody><tr><td>1992</td><td></td><td></td><td>2.37</td><td>1.45</td><td>2.95</td><td>4.50</td></tr><tr><td>1993</td><td>0.34</td><td>0.04</td><td>1.18</td><td>1.46</td><td>1.59</td><td>3.57</td></tr><tr><td>1994</td><td>0.35</td><td>0.05</td><td>0.71</td><td>0.85</td><td>0.79</td><td>3.30</td></tr><tr><td>1995</td><td>0.22</td><td>0.08</td><td>0.49</td><td>0.78</td><td>0.94</td><td>3.77</td></tr><tr><td>1996</td><td>0.19</td><td>0.02</td><td>0.70</td><td>0.85</td><td>1.31</td><td>3.78</td></tr><tr><td>1997</td><td>0.23</td><td>0.02</td><td>1.20</td><td>0.71</td><td>1.09</td><td>6.09</td></tr><tr><td>1998</td><td>0.24</td><td>0.03</td><td>1.01</td><td>0.55</td><td>0.75</td><td>4.52</td></tr><tr><td>1999</td><td>0.22</td><td>0.04</td><td>0.95</td><td>0.77</td><td>0.93</td><td>3.30</td></tr><tr><td>2000</td><td>0.28</td><td>0.03</td><td>1.35</td><td>0.77</td><td>0.89</td><td>3.55</td></tr><tr><td>2001</td><td>0.21</td><td>0.04</td><td>1.48</td><td>0.92</td><td>1.00</td><td>4.35</td></tr><tr><td>2002</td><td>0.21</td><td>0.11</td><td>2.39</td><td>0.99</td><td>0.89</td><td>7.28</td></tr><tr><td>2003</td><td>0.16</td><td>0.05</td><td>1.16</td><td>1.14</td><td>1.04</td><td>8.39</td></tr><tr><td>2004</td><td>0.25</td><td>0.08</td><td>1.07</td><td>0.98</td><td>1.31</td><td>5.80</td></tr><tr><td>2005</td><td>0.17</td><td>0.08</td><td>1.18</td><td>0.82</td><td>1.63</td><td>4.42</td></tr><tr><td>2006</td><td>0.19</td><td>0.05</td><td>0.92</td><td>1.46</td><td>1.46</td><td>6.28</td></tr><tr><td>2007</td><td>0.14</td><td>0.09</td><td>0.92</td><td>0.78</td><td>1.46</td><td>5.96</td></tr><tr><td>2008</td><td>0.12</td><td>0.08</td><td>1.27</td><td>1.14</td><td>1.52</td><td>5.73</td></tr><tr><td>2009</td><td>0.09</td><td>0.05</td><td>1.18</td><td>1.29</td><td>1.35</td><td>5.72</td></tr><tr><td>2010</td><td>0.21</td><td>0.08</td><td>1.10</td><td>0.99</td><td>0.98</td><td>4.78</td></tr><tr><td>2011</td><td>0.15</td><td>0.07</td><td>0.60</td><td>0.90</td><td>0.99</td><td>4.01</td></tr><tr><td>2012</td><td>0.17</td><td>0.09</td><td>1.10</td><td>0.87</td><td>0.97</td><td>5.56</td></tr><tr><td>2013</td><td>0.12</td><td>0.09</td><td>0.98</td><td>0.85</td><td>1.09</td><td>4.37</td></tr><tr><td>2014</td><td>0.22</td><td>0.10</td><td>1.25</td><td>1.42</td><td>1.55</td><td>5.20</td></tr><tr><td>2015</td><td>0.16</td><td>0.09</td><td>1.04</td><td>1.33</td><td>1.70</td><td>3.94</td></tr><tr><td>2016</td><td>0.31</td><td>0.08</td><td>1.05</td><td>1.28</td><td>1.42</td><td>3.35</td></tr><tr><td>2017</td><td>0.36</td><td>0.07</td><td>1.07</td><td>1.88</td><td>2.03</td><td>3.83</td></tr></tbody></table>
<table><thead><tr><th rowspan="2">Year</th><th colspan="2">Archangelsk region commercial fishery</th><th colspan="3">Barents Sea basin</th><th rowspan="2">White Sea basin<br>Ponoi</th></tr><tr><th>Coastal</th><th>In-river</th><th>Rynda</th><th>Kharlovka</th><th>Eastern Litsa</th></tr></thead><tbody><tr><td>2018</td><td>0.29</td><td>0.09</td><td>1.07</td><td>1.54</td><td>1.92</td><td>3.62</td></tr><tr><td>2019</td><td>0.18</td><td>na</td><td>2.11</td><td>1.95</td><td>2.38</td><td>3.17</td></tr><tr><td>2020</td><td>0.28</td><td>0.02</td><td>2.54</td><td>1.82</td><td>2.69</td><td>9.58</td></tr><tr><td>Mean (2)</td><td><strong>0.22</strong></td><td><strong>0.06</strong></td><td><strong>1.22</strong></td><td><strong>1.12</strong></td><td><strong>1.40</strong></td><td><strong>4.89</strong></td></tr><tr><td>2015–2019</td><td><strong>0.26</strong></td><td><strong>0.08</strong></td><td><strong>1.27</strong></td><td><strong>1.60</strong></td><td><strong>1.89</strong></td><td><strong>3.58</strong></td></tr></tbody></table>

Notes:

2. Mean of the time-series.
<table><caption>Table 3.1.5.3. CPUE data for net and fixed engine salmon fisheries by Region in UK (England & Wales). Data expressed as catch per licence-tide, except the North East, for which the data are recorded as catch per licence-day.</caption><thead><tr><th rowspan="2">Year</th><th rowspan="2">Northeast<br>driftnets</th><th colspan="5">Region (aggregated data, various methods)</th></tr><tr><th>Northeast</th><th>Southwest</th><th>Midlands</th><th>Wales</th><th>Northwest</th></tr></thead><tbody><tr><td>1988</td><td></td><td>5.49</td><td></td><td></td><td></td><td>-</td></tr><tr><td>1989</td><td></td><td>4.39</td><td></td><td></td><td></td><td>0.82</td></tr><tr><td>1990</td><td></td><td>5.53</td><td></td><td></td><td></td><td>0.63</td></tr><tr><td>1991</td><td></td><td>3.20</td><td></td><td></td><td></td><td>0.51</td></tr><tr><td>1992</td><td></td><td>3.83</td><td></td><td></td><td></td><td>0.40</td></tr><tr><td>1993</td><td>8.23</td><td>6.43</td><td></td><td></td><td></td><td>0.63</td></tr><tr><td>1994</td><td>9.02</td><td>7.53</td><td></td><td></td><td></td><td>0.71</td></tr><tr><td>1995</td><td>11.18</td><td>7.84</td><td></td><td></td><td></td><td>0.79</td></tr><tr><td>1996</td><td>4.93</td><td>3.74</td><td></td><td></td><td></td><td>0.59</td></tr><tr><td>1997</td><td>6.48</td><td>4.40</td><td>0.70</td><td>0.48</td><td>0.07</td><td>0.63</td></tr><tr><td>1998</td><td>5.92</td><td>3.81</td><td>1.25</td><td>0.42</td><td>0.08</td><td>0.46</td></tr><tr><td>1999</td><td>8.06</td><td>4.88</td><td>0.79</td><td>0.72</td><td>0.02</td><td>0.52</td></tr><tr><td>2000</td><td>13.06</td><td>8.11</td><td>1.01</td><td>0.66</td><td>0.18</td><td>1.05</td></tr><tr><td>2001</td><td>10.34</td><td>6.83</td><td>0.71</td><td>0.79</td><td>0.16</td><td>0.71</td></tr><tr><td>2002</td><td>8.55</td><td>5.59</td><td>1.03</td><td>1.39</td><td>0.23</td><td>0.90</td></tr><tr><td>2003</td><td>7.13</td><td>4.82</td><td>1.24</td><td>1.13</td><td>0.11</td><td>0.62</td></tr><tr><td>2004</td><td>8.17</td><td>5.88</td><td>1.17</td><td>0.46</td><td>0.11</td><td>0.69</td></tr><tr><td>2005</td><td>7.23</td><td>4.13</td><td>0.60</td><td>0.97</td><td>0.09</td><td>1.28</td></tr><tr><td>2006</td><td>5.60</td><td>3.20</td><td>0.66</td><td>0.97</td><td>0.09</td><td>0.82</td></tr><tr><td>2007</td><td>7.24</td><td>4.17</td><td>0.33</td><td>1.26</td><td>0.05</td><td>0.75</td></tr><tr><td>2008</td><td>5.41</td><td>3.59</td><td>0.63</td><td>1.33</td><td>0.06</td><td>0.34</td></tr><tr><td>2009</td><td>4.76</td><td>3.08</td><td>0.53</td><td>1.67</td><td>0.04</td><td>0.51</td></tr><tr><td>2010</td><td>17.03</td><td>8.56</td><td>0.99</td><td>0.26</td><td>0.09</td><td>0.47</td></tr><tr><td>2011</td><td>19.25</td><td>9.93</td><td>0.63</td><td>0.14</td><td>0.10</td><td>0.34</td></tr><tr><td>2012</td><td>6.80</td><td>5.35</td><td>0.69</td><td></td><td>0.21</td><td>0.31</td></tr><tr><td>2013</td><td>11.06</td><td>8.22</td><td>0.54</td><td></td><td>0.08</td><td>0.39</td></tr><tr><td>2014</td><td>10.30</td><td>6.12</td><td>0.43</td><td></td><td>0.07</td><td>0.31</td></tr></tbody></table>
<table><thead><tr><th rowspan="2">Year</th><th rowspan="2">Northeast<br>driftnets</th><th colspan="5">Region (aggregated data, various methods)</th></tr><tr><th>Northeast</th><th>Southwest</th><th>Midlands</th><th>Wales</th><th>Northwest</th></tr></thead><tbody><tr><td>2015</td><td>12.93</td><td>7.22</td><td>0.64</td><td></td><td>0.08</td><td>0.39</td></tr><tr><td>2016</td><td>10.95</td><td>9.98</td><td>0.78</td><td></td><td>0.10</td><td>0.38</td></tr><tr><td>2017</td><td>7.58</td><td>5.64</td><td>0.58</td><td></td><td>0.15</td><td>0.26</td></tr><tr><td>2018</td><td>6.27</td><td>6.05</td><td>1.07</td><td></td><td>0.15</td><td>0.92</td></tr><tr><td>2019</td><td></td><td></td><td></td><td></td><td>0.15</td><td></td></tr><tr><td>2020 (3)</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Mean (2)</td><td>8.98</td><td>5.73</td><td>0.77</td><td>0.84</td><td>0.11</td><td>0.60</td></tr><tr><td>2015–2019</td><td>9.43</td><td>7.22</td><td>0.77</td><td></td><td>0.13</td><td>0.49</td></tr></tbody></table>

Notes:

2. Mean of the time-series.

3. No CPUE for net fisheries in 2020 was available because there was no fishing effort for salmon.
<table><caption>Table 3.1.5.4. CPUE for salmon rod fisheries in each Region in UK (England & Wales), 1997–2020. [CPUE is expressed as number of salmon (including released fish) caught per 100 days fished.</caption><thead><tr><th rowspan="2">Year</th><th colspan="6">Region</th><th rowspan="2">NRW Wales</th><th rowspan="2">England & Wales</th></tr><tr><th>NE</th><th>Thames</th><th>Southern</th><th>SW</th><th>Midlands</th><th>Wales</th></tr></thead><tbody><tr><td>1997</td><td>5.0</td><td>0.6</td><td>3.1</td><td>5.2</td><td>1.7</td><td>2.6</td><td>2.6</td><td>4.0</td></tr><tr><td>1998</td><td>6.5</td><td>0.0</td><td>5.9</td><td>7.5</td><td>1.3</td><td>3.9</td><td>3.9</td><td>6.0</td></tr><tr><td>1999</td><td>7.4</td><td>0.3</td><td>3.1</td><td>6.3</td><td>2.1</td><td>3.5</td><td>3.5</td><td>5.5</td></tr><tr><td>2000</td><td>9.2</td><td>0.0</td><td>5.2</td><td>8.8</td><td>4.9</td><td>4.4</td><td>4.4</td><td>7.9</td></tr><tr><td>2001</td><td>11.3</td><td>0.0</td><td>11.0</td><td>6.6</td><td>5.4</td><td>5.5</td><td>5.5</td><td>8.7</td></tr><tr><td>2002</td><td>9.4</td><td>0.0</td><td>18.3</td><td>6.0</td><td>3.5</td><td>3.6</td><td>3.6</td><td>6.8</td></tr><tr><td>2003</td><td>9.7</td><td>0.0</td><td>8.8</td><td>4.7</td><td>5.2</td><td>2.9</td><td>2.9</td><td>5.7</td></tr><tr><td>2004</td><td>14.7</td><td>0.0</td><td>18.8</td><td>9.6</td><td>5.5</td><td>6.6</td><td>6.6</td><td>11.4</td></tr><tr><td>2005</td><td>12.4</td><td>0.0</td><td>12.7</td><td>6.2</td><td>6.6</td><td>4.5</td><td>4.5</td><td>9.0</td></tr><tr><td>2006</td><td>14.2</td><td>0.0</td><td>15.6</td><td>8.7</td><td>6.6</td><td>5.9</td><td>5.9</td><td>10.1</td></tr><tr><td>2007</td><td>11.7</td><td>0.0</td><td>18.0</td><td>8.7</td><td>5.7</td><td>6.0</td><td>6.0</td><td>9.6</td></tr><tr><td>2008</td><td>12.7</td><td>0.0</td><td>21.8</td><td>10.9</td><td>5.8</td><td>7.3</td><td>7.3</td><td>10.5</td></tr><tr><td>2009</td><td>9.5</td><td>0.0</td><td>13.7</td><td>5.7</td><td>3.6</td><td>3.6</td><td>3.6</td><td>6.6</td></tr><tr><td>2010</td><td>16.7</td><td>2.8</td><td>17.1</td><td>9.9</td><td>4.3</td><td>6.5</td><td>6.5</td><td>10.2</td></tr><tr><td>2011</td><td>17.5</td><td>0.0</td><td>14.5</td><td>9.4</td><td>6.5</td><td>6.0</td><td>6.0</td><td>10.9</td></tr><tr><td>2012</td><td>15.4</td><td>0.0</td><td>17.3</td><td>9.2</td><td>6.3</td><td>6.5</td><td>6.5</td><td>10.6</td></tr><tr><td>2013</td><td>16.7</td><td>0.0</td><td>10.0</td><td>5.9</td><td>7.9</td><td>5.7</td><td>5.7</td><td>8.9</td></tr><tr><td>2014</td><td>12.1</td><td>0.0</td><td>11.9</td><td>4.8</td><td>5.0</td><td>6.9</td><td>4.4</td><td>7.1</td></tr><tr><td>2015</td><td>8.7</td><td>0.0</td><td>16.6</td><td>8.8</td><td>9.0</td><td>7.0</td><td>4.8</td><td>7.1</td></tr><tr><td>2016</td><td>13.5</td><td>0.0</td><td>16.8</td><td>7.8</td><td>9.5</td><td>8.5</td><td>6.4</td><td>9.1</td></tr><tr><td>2017</td><td>13.5</td><td>0.0</td><td>13.6</td><td>8.7</td><td>8.0</td><td>9.3</td><td>6.6</td><td>9.4</td></tr><tr><td>2018</td><td>10.5</td><td>0.0</td><td>5.0</td><td>4.9</td><td>6.7</td><td>9.0</td><td>4.0</td><td>7.2</td></tr><tr><td>2019</td><td>12.0</td><td>1.6</td><td>6.6</td><td>4.2</td><td>5.4</td><td>7.7</td><td>3.4</td><td>7.0</td></tr><tr><td>2020</td><td>13.2</td><td>0.0</td><td>13.9</td><td>6.7</td><td>10.6</td><td>12.4</td><td>7.0</td><td>10.5</td></tr><tr><td>Mean (2)</td><td>11.8</td><td>0.2</td><td>12.5</td><td>7.3</td><td>5.7</td><td>6.1</td><td>5.1</td><td>8.3</td></tr><tr><td>2015–2019</td><td>11.6</td><td>0.3</td><td>11.7</td><td>6.9</td><td>7.7</td><td>8.3</td><td>5.0</td><td>8.0</td></tr></tbody></table>

Notes: 2. Mean of the time-series.
<table><caption>Table 3.1.5.5. CPUE data for UK (Scotland) net fisheries. Catch in numbers of fish per unit of effort.</caption><thead><tr><th>Year</th><th>Fixed engine CPUE<br>Catch/trap month <sup>(1)</sup></th><th>Net and coble CPUE<br>Catch/crew month</th></tr></thead><tbody><tr><td>1952</td><td>33.9</td><td>156.4</td></tr><tr><td>1953</td><td>33.1</td><td>121.7</td></tr><tr><td>1954</td><td>29.3</td><td>162.0</td></tr><tr><td>1955</td><td>37.1</td><td>201.8</td></tr><tr><td>1956</td><td>25.7</td><td>117.5</td></tr><tr><td>1957</td><td>32.6</td><td>178.7</td></tr><tr><td>1958</td><td>48.4</td><td>170.4</td></tr><tr><td>1959</td><td>33.3</td><td>159.3</td></tr><tr><td>1960</td><td>30.7</td><td>177.8</td></tr><tr><td>1961</td><td>31.0</td><td>155.2</td></tr><tr><td>1962</td><td>43.9</td><td>242.0</td></tr><tr><td>1963</td><td>44.2</td><td>182.9</td></tr><tr><td>1964</td><td>57.9</td><td>247.1</td></tr><tr><td>1965</td><td>43.7</td><td>188.6</td></tr><tr><td>1966</td><td>44.9</td><td>210.6</td></tr><tr><td>1967</td><td>72.6</td><td>329.8</td></tr><tr><td>1968</td><td>47.0</td><td>198.5</td></tr><tr><td>1969</td><td>65.5</td><td>327.6</td></tr><tr><td>1970</td><td>50.3</td><td>241.9</td></tr><tr><td>1971</td><td>57.2</td><td>231.6</td></tr><tr><td>1972</td><td>57.5</td><td>248.0</td></tr><tr><td>1973</td><td>73.7</td><td>240.6</td></tr><tr><td>1974</td><td>63.4</td><td>257.1</td></tr><tr><td>1975</td><td>53.6</td><td>235.7</td></tr><tr><td>1976</td><td>42.9</td><td>150.8</td></tr><tr><td>1977</td><td>45.6</td><td>188.7</td></tr><tr><td>1978</td><td>53.9</td><td>196.1</td></tr><tr><td>1979</td><td>42.2</td><td>157.2</td></tr></tbody></table>
<table><thead><tr><th>Year</th><th>Fixed engine CPUE<br>Catch/trap month <sup>(1)</sup></th><th>Net and coble CPUE<br>Catch/crew month</th></tr></thead><tbody><tr><td>1980</td><td>37.6</td><td>158.6</td></tr><tr><td>1981</td><td>49.6</td><td>183.9</td></tr><tr><td>1982</td><td>61.3</td><td>180.2</td></tr><tr><td>1983</td><td>55.8</td><td>203.6</td></tr><tr><td>1984</td><td>58.9</td><td>155.3</td></tr><tr><td>1985</td><td>49.6</td><td>148.9</td></tr><tr><td>1986</td><td>75.2</td><td>193.4</td></tr><tr><td>1987</td><td>61.8</td><td>145.6</td></tr><tr><td>1988</td><td>50.6</td><td>198.4</td></tr><tr><td>1989</td><td>71.0</td><td>262.4</td></tr><tr><td>1990</td><td>33.2</td><td>146.0</td></tr><tr><td>1991</td><td>35.9</td><td>106.4</td></tr><tr><td>1992</td><td>59.6</td><td>153.7</td></tr><tr><td>1993</td><td>52.8</td><td>125.2</td></tr><tr><td>1994</td><td>92.1</td><td>123.7</td></tr><tr><td>1995</td><td>75.6</td><td>142.3</td></tr><tr><td>1996</td><td>57.5</td><td>110.9</td></tr><tr><td>1997</td><td>33.0</td><td>57.8</td></tr><tr><td>1998</td><td>36.0</td><td>68.7</td></tr><tr><td>1999</td><td>21.9</td><td>58.8</td></tr><tr><td>2000</td><td>54.4</td><td>105.5</td></tr><tr><td>2001</td><td>61.0</td><td>77.4</td></tr><tr><td>2002</td><td>35.9</td><td>67.0</td></tr><tr><td>2003</td><td>68.3</td><td>66.8</td></tr><tr><td>2004</td><td>42.9</td><td>54.5</td></tr><tr><td>2005</td><td>45.8</td><td>80.9</td></tr><tr><td>2006</td><td>45.8</td><td>73.3</td></tr><tr><td>2007</td><td>47.6</td><td>91.5</td></tr></tbody></table>
<table><thead><tr><th>Year</th><th>Fixed engine CPUE<br>Catch/trap month <sup>(1)</sup></th><th>Net and coble CPUE<br>Catch/crew month</th></tr></thead><tbody><tr><td>2008</td><td>56.1</td><td>52.5</td></tr><tr><td>2009</td><td>42.2</td><td>73.3</td></tr><tr><td>2010</td><td>77.0</td><td>179.3</td></tr><tr><td>2011</td><td>62.6</td><td>80.7</td></tr><tr><td>2012</td><td>50.2</td><td>46.7</td></tr><tr><td>2013</td><td>64.6</td><td>129.4</td></tr><tr><td>2014</td><td>60.6</td><td>79.2</td></tr><tr><td>2015</td><td>74.8</td><td>50.2</td></tr><tr><td>2016*</td><td></td><td>65.4</td></tr><tr><td>2017*</td><td></td><td>52.4</td></tr><tr><td>2018*</td><td></td><td>147.1</td></tr><tr><td>2019*</td><td></td><td>23.2</td></tr><tr><td>2020* (2)</td><td></td><td>23.2</td></tr><tr><td>Mean (3)</td><td>50.8</td><td>148.1</td></tr><tr><td>2015–2019</td><td>74.8</td><td>67.7</td></tr></tbody></table>

Notes:

1. Excludes catch and effort for Solway Region.

2. Scotland data for 2020 not available at time of printing, 2019 used as provisional value.

3. Mean of the time-series.

* No CPUE for fixed engine fisheries due to fishery regulations prohibiting the retention of salmon in coastal waters.
<table><caption>Table 3.1.5.6. CPUE (number of salmon in three size groups caught per gear day) in marine fisheries in Norway.</caption><thead><tr><th rowspan="2">Year</th><th colspan="3">Bagnet</th><th colspan="3">Bendnet</th></tr><tr><th>&lt; 3kg</th><th>3-7 kg</th><th>&gt;7 kg</th><th>&lt; 3kg</th><th>3-7 kg</th><th>&gt;7 kg</th></tr></thead><tbody><tr><td>1998</td><td>0.88</td><td>0.66</td><td>0.12</td><td>0.80</td><td>0.56</td><td>0.13</td></tr><tr><td>1999</td><td>1.16</td><td>0.72</td><td>0.16</td><td>0.75</td><td>0.67</td><td>0.17</td></tr><tr><td>2000</td><td>2.01</td><td>0.90</td><td>0.17</td><td>1.24</td><td>0.87</td><td>0.17</td></tr><tr><td>2001</td><td>1.52</td><td>1.03</td><td>0.22</td><td>1.03</td><td>1.39</td><td>0.36</td></tr><tr><td>2002</td><td>0.91</td><td>1.03</td><td>0.26</td><td>0.74</td><td>0.87</td><td>0.32</td></tr><tr><td>2003</td><td>1.57</td><td>0.90</td><td>0.26</td><td>0.84</td><td>0.69</td><td>0.28</td></tr><tr><td>2004</td><td>0.89</td><td>0.97</td><td>0.25</td><td>0.59</td><td>0.60</td><td>0.17</td></tr><tr><td>2005</td><td>1.17</td><td>0.81</td><td>0.27</td><td>0.72</td><td>0.73</td><td>0.33</td></tr><tr><td>2006</td><td>1.02</td><td>1.33</td><td>0.27</td><td>0.72</td><td>0.86</td><td>0.29</td></tr><tr><td>2007</td><td>0.43</td><td>0.90</td><td>0.32</td><td>0.57</td><td>0.95</td><td>0.33</td></tr><tr><td>2008</td><td>1.07</td><td>1.13</td><td>0.43</td><td>0.57</td><td>0.97</td><td>0.57</td></tr><tr><td>2009</td><td>0.73</td><td>0.92</td><td>0.31</td><td>0.44</td><td>0.78</td><td>0.32</td></tr><tr><td>2010</td><td>1.46</td><td>1.13</td><td>0.39</td><td>0.82</td><td>1.00</td><td>0.38</td></tr><tr><td>2011</td><td>1.30</td><td>1.98</td><td>0.35</td><td>0.71</td><td>1.02</td><td>0.36</td></tr><tr><td>2012</td><td>1.12</td><td>1.26</td><td>0.43</td><td>0.89</td><td>1.03</td><td>0.41</td></tr><tr><td>2013</td><td>0.69</td><td>1.09</td><td>0.25</td><td>0.38</td><td>1.30</td><td>0.29</td></tr><tr><td>2014</td><td>1.83</td><td>1.08</td><td>0.24</td><td>1.27</td><td>1.08</td><td>0.29</td></tr><tr><td>2015</td><td>1.32</td><td>1.61</td><td>0.30</td><td>0.41</td><td>1.16</td><td>0.22</td></tr><tr><td>2016</td><td>0.84</td><td>1.40</td><td>0.35</td><td>0.55</td><td>1.83</td><td>0.42</td></tr><tr><td>2017</td><td>1.65</td><td>1.35</td><td>0.30</td><td>1.02</td><td>1.49</td><td>0.45</td></tr><tr><td>2018</td><td>2.05</td><td>1.56</td><td>0.30</td><td>1.08</td><td>1.51</td><td>0.41</td></tr><tr><td>2019</td><td>0.97</td><td>1.59</td><td>0.26</td><td>0.72</td><td>1.02</td><td>0.28</td></tr><tr><td>2020</td><td>1.18</td><td>1.12</td><td>0.21</td><td>0.37</td><td>0.96</td><td>0.34</td></tr><tr><td>Mean (1)</td><td>1.21</td><td>1.15</td><td>0.28</td><td>0.75</td><td>1.01</td><td>0.32</td></tr><tr><td>2015-2019</td><td>1.37</td><td>1.50</td><td>0.30</td><td>0.76</td><td>1.40</td><td>0.36</td></tr></tbody></table>

Notes:

1. Mean of the time-series.
<table><caption>Table 3.1.6.1. Percentage of 1SW salmon in catches from countries in the Northeast Atlantic, 1987–2020.</caption><thead><tr><th>Year</th><th>Ice-land</th><th>Fin-land</th><th>Nor-way</th><th>Russia</th><th>Sweden</th><th>North-ern countries</th><th>UK (Scot)<sup>(2)</sup></th><th>UK (E&W)</th><th>France</th><th>Spain<sup>(1)</sup></th><th>South-ern countries</th></tr></thead><tbody><tr><td>1987</td><td>64</td><td>60</td><td>60</td><td>65</td><td></td><td>62</td><td>61</td><td>68</td><td>77</td><td></td><td>63</td></tr><tr><td>1988</td><td>78</td><td>55</td><td>62</td><td>55</td><td></td><td>63</td><td>57</td><td>69</td><td>29</td><td></td><td>61</td></tr><tr><td>1989</td><td>69</td><td>73</td><td>72</td><td>70</td><td>41</td><td>71</td><td>63</td><td>65</td><td>33</td><td></td><td>63</td></tr><tr><td>1990</td><td>66</td><td>64</td><td>66</td><td>69</td><td>75</td><td>65</td><td>48</td><td>52</td><td>45</td><td>71</td><td>49</td></tr><tr><td>1991</td><td>72</td><td>64</td><td>67</td><td>62</td><td>74</td><td>64</td><td>53</td><td>71</td><td>39</td><td>37</td><td>59</td></tr><tr><td>1992</td><td>73</td><td>72</td><td>61</td><td>71</td><td>69</td><td>64</td><td>55</td><td>77</td><td>48</td><td>45</td><td>60</td></tr><tr><td>1993</td><td>77</td><td>63</td><td>62</td><td>66</td><td>67</td><td>62</td><td>57</td><td>81</td><td>74</td><td>33</td><td>66</td></tr><tr><td>1994</td><td>66</td><td>50</td><td>69</td><td>69</td><td>67</td><td>66</td><td>54</td><td>77</td><td>55</td><td>61</td><td>63</td></tr><tr><td>1995</td><td>77</td><td>60</td><td>58</td><td>69</td><td>85</td><td>60</td><td>53</td><td>72</td><td>60</td><td>22</td><td>61</td></tr><tr><td>1996</td><td>75</td><td>72</td><td>51</td><td>81</td><td>68</td><td>61</td><td>53</td><td>65</td><td>51</td><td>22</td><td>57</td></tr><tr><td>1997</td><td>75</td><td>66</td><td>64</td><td>84</td><td>57</td><td>68</td><td>54</td><td>73</td><td>51</td><td>21</td><td>61</td></tr><tr><td>1998</td><td>83</td><td>71</td><td>65</td><td>84</td><td>66</td><td>71</td><td>58</td><td>82</td><td>71</td><td>49</td><td>66</td></tr><tr><td>1999</td><td>70</td><td>77</td><td>62</td><td>79</td><td>81</td><td>66</td><td>45</td><td>68</td><td>27</td><td>13</td><td>57</td></tr><tr><td>2000</td><td>85</td><td>66</td><td>66</td><td>77</td><td>69</td><td>67</td><td>54</td><td>79</td><td>58</td><td>63</td><td>67</td></tr><tr><td>2001</td><td>78</td><td>51</td><td>59</td><td>77</td><td>54</td><td>60</td><td>55</td><td>75</td><td>51</td><td>36</td><td>64</td></tr><tr><td>2002</td><td>83</td><td>40</td><td>51</td><td>72</td><td>62</td><td>56</td><td>54</td><td>76</td><td>69</td><td>33</td><td>66</td></tr><tr><td>2003</td><td>78</td><td>48</td><td>62</td><td>73</td><td>79</td><td>63</td><td>52</td><td>66</td><td>51</td><td>14</td><td>56</td></tr><tr><td>2004</td><td>84</td><td>46</td><td>52</td><td>66</td><td>50</td><td>59</td><td>51</td><td>81</td><td>40</td><td>59</td><td>62</td></tr><tr><td>2005</td><td>87</td><td>70</td><td>63</td><td>67</td><td>59</td><td>68</td><td>58</td><td>76</td><td>41</td><td>15</td><td>63</td></tr><tr><td>2006</td><td>87</td><td>72</td><td>53</td><td>76</td><td>61</td><td>62</td><td>57</td><td>78</td><td>50</td><td>16</td><td>63</td></tr><tr><td>2007</td><td>90</td><td>34</td><td>42</td><td>68</td><td>34</td><td>56</td><td>57</td><td>78</td><td>45</td><td>25</td><td>63</td></tr><tr><td>2008</td><td>89</td><td>36</td><td>47</td><td>55</td><td>36</td><td>57</td><td>48</td><td>76</td><td>42</td><td>11</td><td>58</td></tr><tr><td>2009</td><td>91</td><td>70</td><td>47</td><td>57</td><td>40</td><td>64</td><td>49</td><td>72</td><td>31</td><td>30</td><td>57</td></tr><tr><td>2010</td><td>83</td><td>53</td><td>56</td><td>54</td><td>49</td><td>62</td><td>55</td><td>78</td><td>65</td><td>33</td><td>65</td></tr><tr><td>2011</td><td>85</td><td>63</td><td>41</td><td>58</td><td>32</td><td>55</td><td>36</td><td>57</td><td>31</td><td>2</td><td>47</td></tr><tr><td>2012</td><td>86</td><td>71</td><td>46</td><td>75</td><td>30</td><td>59</td><td>49</td><td>50</td><td>38</td><td>18</td><td>49</td></tr><tr><td>2013</td><td>89</td><td>59</td><td>52</td><td>67</td><td>38</td><td>67</td><td>55</td><td>58</td><td>46</td><td>13</td><td>55</td></tr></tbody></table>
<table><thead><tr><th>Year</th><th>Ice-land</th><th>Fin-land</th><th>Nor-way</th><th>Russia</th><th>Swede</th><th>North-ern countries</th><th>UK (Scot)<sup>(2)</sup></th><th>UK (E&W)</th><th>France</th><th>Spain<sup>(1)</sup></th><th>South-ern countries</th></tr></thead><tbody><tr><td>2014</td><td>77</td><td>65</td><td>59</td><td>66</td><td>46</td><td>62</td><td>49</td><td>54</td><td>38</td><td>4</td><td>50</td></tr><tr><td>2015</td><td>90</td><td>55</td><td>51</td><td>70</td><td>32</td><td>63</td><td>60</td><td>47</td><td>33</td><td>4</td><td>54</td></tr><tr><td>2016</td><td>79</td><td>47</td><td>42</td><td>72</td><td>39</td><td>53</td><td>50</td><td>42</td><td>51</td><td>30</td><td>45</td></tr><tr><td>2017</td><td>86</td><td>41</td><td>49</td><td>43</td><td>29</td><td>55</td><td>46</td><td>40</td><td>54</td><td>29</td><td>44</td></tr><tr><td>2018</td><td>83</td><td>74</td><td>51</td><td>57</td><td>45</td><td>58</td><td>60</td><td>45</td><td>39</td><td>21</td><td>51</td></tr><tr><td>2019</td><td>79</td><td>40</td><td>49</td><td>65</td><td>22</td><td>54</td><td>57</td><td>44</td><td>29</td><td>10</td><td>47</td></tr><tr><td>2020</td><td>88</td><td>49</td><td>54</td><td>75</td><td>34</td><td>59</td><td>57</td><td>44</td><td>41</td><td>25</td><td>49</td></tr><tr><td>Means</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>1987–2000</td><td>73</td><td>65</td><td>63</td><td>72</td><td>68</td><td>65</td><td>55</td><td>71</td><td>51</td><td>40</td><td>61</td></tr><tr><td>2001–2020</td><td>85</td><td>54</td><td>51</td><td>66</td><td>43</td><td>59</td><td>53</td><td>62</td><td>44</td><td>21</td><td>55</td></tr></tbody></table>

Notes:

1. Asturias Region only for 1987 to 2018; all regions of Spain 2019 to 2020.

2. Scotland data for 2020 not available at time of printing, 2019 value used as provisional value for 2020.
<table><caption>Table 3.2.1.1. Conservation limit options for NEAC stock groups estimated from river-specific values, where available, or the national PFA run-reconstruction model. Spawner Escapement Reserve (SERs) based on the CLs used are also shown. All values are given in numbers of fish.</caption><thead><tr><th rowspan="2">Country and Complex</th><th colspan="2">National Model CLs</th><th colspan="2">River Specific CLs</th><th colspan="2">Conservation Limit used</th><th colspan="2">Spawner Escapement Reserve (SER)</th></tr><tr><th>1SW</th><th>MSW</th><th>1SW</th><th>MSW</th><th>1SW</th><th>MSW</th><th>1SW</th><th>MSW</th></tr></thead><tbody><tr><td>Finland</td><td></td><td></td><td>14 946</td><td>9521</td><td>14 946</td><td>9521</td><td>18 174</td><td>16 365</td></tr><tr><td>Iceland (north and east)</td><td>5019</td><td>1851</td><td></td><td></td><td>5019</td><td>1851</td><td>6195</td><td>3182</td></tr><tr><td>Norway</td><td></td><td></td><td>54 105</td><td>73 770</td><td>54 105</td><td>73 770</td><td>68 831</td><td>123 036</td></tr><tr><td>Russia</td><td>62 285</td><td>34 412</td><td></td><td></td><td>62 285</td><td>34 412</td><td>79 291</td><td>61 918</td></tr><tr><td>Sweden</td><td></td><td></td><td>1731</td><td>2714</td><td>1731</td><td>2714</td><td>2714</td><td>4735</td></tr><tr><td><strong>Northern NEAC Stock Complex</strong></td><td></td><td></td><td></td><td></td><td>138 086</td><td>122 268</td><td>174 727</td><td>209 236</td></tr><tr><td>France</td><td></td><td></td><td>17 400</td><td>5 100</td><td>17 400</td><td>5 100</td><td>22 471</td><td>9 451</td></tr><tr><td>Iceland (south and west)</td><td>16 660</td><td>1 632</td><td></td><td></td><td>16 660</td><td>1 632</td><td>20 566</td><td>2 806</td></tr><tr><td>Ireland</td><td></td><td></td><td>211 471</td><td>46 943</td><td>211 471</td><td>46 943</td><td>269 026</td><td>78 294</td></tr><tr><td>UK (England & Wales)</td><td></td><td></td><td>53 988</td><td>29 918</td><td>53 988</td><td>29 918</td><td>68 682</td><td>51 423</td></tr><tr><td>UK (N. Ireland)</td><td></td><td></td><td>34 880</td><td>6 152</td><td>34 880</td><td>6 152</td><td>42 587</td><td>10 316</td></tr><tr><td>UK (Scotland)</td><td></td><td></td><td>102 592</td><td>84 990</td><td>102 592</td><td>84 990</td><td>130 514</td><td>143 293</td></tr><tr><td><strong>Southern NEAC Stock Complex</strong></td><td></td><td></td><td></td><td></td><td>436 992</td><td>174 735</td><td>553 846</td><td>295 582</td></tr></tbody></table>
<table><caption>Table 3.3.4.1. Estimated number of returning 1SW salmon by year for NEAC countries (50% quantile of the Monte Carlo distribution only) and region (50% (5%; 95%) quantiles of the Monte Carlo distribution).</caption><thead><tr><th rowspan="2">Year</th><th colspan="5">Northern NEAC</th><th colspan="6">Southern NEAC</th><th colspan="2">NEAC Area</th></tr><tr><th>Finland</th><th>Iceland (N&E)</th><th>Norway</th><th>Russia</th><th>Sweden</th><th>Northern NEAC (5%; 95%)</th><th>France</th><th>Iceland (S&W)</th><th>Ireland</th><th>UK(EW)</th><th>UK(NI)</th><th>UK(Scot)</th><th>Southern NEAC (5%; 95%)</th><th>NEAC (5%; 95%)</th></tr></thead><tbody><tr><td>1971</td><td>24 551</td><td>9 413</td><td></td><td>154 528</td><td>17 196</td><td></td><td>49 714</td><td>62 755</td><td>1 057 789</td><td>82 647</td><td>181 778</td><td>566 839</td><td>2 011 683 (1 782 914; 2 301 600)</td><td></td></tr><tr><td>1972</td><td>94 633</td><td>8 613</td><td></td><td>117 370</td><td>13 709</td><td></td><td>99 483</td><td>50 578</td><td>1 124 508</td><td>79 679</td><td>158 952</td><td>586 414</td><td>2 115 550 (1 862 392; 2 436 858)</td><td></td></tr><tr><td>1973</td><td>43 999</td><td>10 310</td><td></td><td>172 924</td><td>16 941</td><td></td><td>61 102</td><td>54 214</td><td>1 226 184</td><td>93 898</td><td>138 704</td><td>708 704</td><td>2 300 731 (2 021 823; 2 641 919)</td><td></td></tr><tr><td>1974</td><td>60 966</td><td>10 302</td><td></td><td>172 328</td><td>24 491</td><td></td><td>28 356</td><td>38 881</td><td>1 393 087</td><td>116 853</td><td>151 686</td><td>681 303</td><td>2 423 002 (2 123 103; 2 807 032)</td><td></td></tr><tr><td>1975</td><td>73 234</td><td>12 562</td><td></td><td>263 696</td><td>26 483</td><td></td><td>56 280</td><td>60 063</td><td>1 540 421</td><td>121 016</td><td>124 404</td><td>570 123</td><td>2 489 325 (2 165 311; 2 908 811)</td><td></td></tr><tr><td>1976</td><td>66 679</td><td>12 649</td><td></td><td>183 684</td><td>14 975</td><td></td><td>52 074</td><td>47 413</td><td>1 046 787</td><td>79 849</td><td>86 520</td><td>452 583</td><td>1 776 214 (1 552 691; 2 062 548)</td><td></td></tr><tr><td>1977</td><td>37 544</td><td>17 528</td><td></td><td>117 123</td><td>6 802</td><td></td><td>40 195</td><td>48 403</td><td>905 525</td><td>91 532</td><td>85 403</td><td>548 816</td><td>1 734 104 (1 516 136; 1 998 471)</td><td></td></tr><tr><td>1978</td><td>35 729</td><td>17 809</td><td></td><td>118 381</td><td>8 033</td><td></td><td>40 879</td><td>63 442</td><td>789 996</td><td>105 200</td><td>111 323</td><td>575 363</td><td>1 701 721 (1 500 719; 1 946 663)</td><td></td></tr><tr><td>1979</td><td>32 152</td><td>17 036</td><td></td><td>164 339</td><td>8 254</td><td></td><td>46 933</td><td>58 992</td><td>726 354</td><td>99 666</td><td>78 109</td><td>579 188</td><td>1 606 510 (1 412 479; 1 839 361)</td><td></td></tr><tr><td>1980</td><td>25 635</td><td>2 578</td><td></td><td>117 028</td><td>10 640</td><td></td><td>97 686</td><td>26 627</td><td>553 373</td><td>93 346</td><td>98 692</td><td>381 173</td><td>1 265 064 (1 120 297; 1 438 487)</td><td></td></tr><tr><td>1981</td><td>22 906</td><td>13 327</td><td></td><td>96 789</td><td>19 298</td><td></td><td>77 704</td><td>34 397</td><td>291 089</td><td>98 379</td><td>77 320</td><td>491 453</td><td>1 081 224 (961 523; 1 222 282)</td><td></td></tr><tr><td>1982</td><td>13 569</td><td>6 127</td><td></td><td>85 137</td><td>17 065</td><td></td><td>48 275</td><td>35 311</td><td>603 590</td><td>83 602</td><td>111 796</td><td>560 906</td><td>1 454 294 (1 302 466; 1 625 826)</td><td></td></tr><tr><td>1983</td><td>33 307</td><td>9 066</td><td>701 188</td><td>142 092</td><td>22 685</td><td>910 515 (816 837; 1 019 963)</td><td>51 568</td><td>44 634</td><td>1 063 224</td><td>121 599</td><td>156 797</td><td>624 779</td><td>2 076 497 (1 858 280; 2 328 007)</td><td>2 990 963 (2 745 678; 3 260 583)</td></tr><tr><td>1984</td><td>36 424</td><td>3 290</td><td>729 095</td><td>152 582</td><td>31 994</td><td>955 534 (854 836; 1 074 843)</td><td>83 933</td><td>27 404</td><td>560 348</td><td>106 767</td><td>61 649</td><td>591 495</td><td>1 445 113 (1 294 535; 1 618 770)</td><td>2 404 985 (2 219 544; 2 612 202)</td></tr><tr><td>1985</td><td>48 186</td><td>22 661</td><td>740 934</td><td>209 115</td><td>38 247</td><td>1 063 331 (960 481; 1 182 868)</td><td>31 211</td><td>44 696</td><td>926 762</td><td>107 076</td><td>79 872</td><td>542 664</td><td>1 744 686 (1 549 214; 1 973 295)</td><td>2 811 679 (2 586 479; 3 064 524)</td></tr><tr><td>1986</td><td>37 995</td><td>28 218</td><td>646 342</td><td>179 045</td><td>39 927</td><td>935 798 (848 743; 1 032 943)</td><td>48 499</td><td>73 188</td><td>1 039 807</td><td>123 560</td><td>89 863</td><td>634 111</td><td>2 031 792 (1 801 559; 2 298 115)</td><td>2 969 643 (2 719 728; 3 250 872)</td></tr></tbody></table>
<table><thead><tr><th rowspan="2">Year</th><th colspan="5">Northern NEAC</th><th colspan="7">Southern NEAC</th><th colspan="2">NEAC Area</th></tr><tr><th>Finland</th><th>Iceland (N&E)</th><th>Norway</th><th>Russia</th><th>Sweden</th><th>Northern NEAC (5%; 95%)</th><th>France</th><th>Iceland (S&W)</th><th>Ireland</th><th>UK(EW)</th><th>UK(NI)</th><th>UK(Scot)</th><th>Southern NEAC (5%; 95%)</th><th>NEAC (5%; 95%)</th></tr></thead><tbody><tr><td>1987</td><td>45 930</td><td>16 614</td><td>543 652</td><td>190 974</td><td>31 671</td><td>832 928 (757 877; 916 506)</td><td>86 658</td><td>45 389</td><td>670 654</td><td>129 161</td><td>49 142</td><td>544 235</td><td>1 554 328 (1 358 981; 1 785 745)</td><td>2 388 883 (2 175 292; 2 631 525)</td></tr><tr><td>1988</td><td>27 042</td><td>24 042</td><td>498 976</td><td>132 000</td><td>26 537</td><td>710 505 (649 074; 780 204)</td><td>29 311</td><td>81 880</td><td>907 141</td><td>176 612</td><td>115 858</td><td>661 285</td><td>1 992 131 (1 754 827; 2 270 148)</td><td>2 703 447 (2 458 037; 2 988 715)</td></tr><tr><td>1989</td><td>58 700</td><td>12 953</td><td>548 206</td><td>197 028</td><td>7 709</td><td>826 304 (750 802; 917 458)</td><td>16 310</td><td>45 676</td><td>651 599</td><td>118 590</td><td>111 608</td><td>739 780</td><td>1 696 901 (1 479 867; 1 971 137)</td><td>2 528 570 (2 293 150; 2 812 881)</td></tr><tr><td>1990</td><td>58 846</td><td>9 682</td><td>492 083</td><td>163 396</td><td>17 941</td><td>744 145 (678 010; 822 745)</td><td>26 792</td><td>42 103</td><td>408 117</td><td>85 065</td><td>92 079</td><td>479 719</td><td>1 148 727 (1 000 279; 1 334 441)</td><td>1 894 918 (1 730 158; 2 095 600)</td></tr><tr><td>1991</td><td>58 075</td><td>14 118</td><td>429 538</td><td>138 727</td><td>22 504</td><td>665 343 (604 694; 737 702)</td><td>19 390</td><td>46 349</td><td>291 152</td><td>84 201</td><td>51 549</td><td>411 656</td><td>916 227 (795 853; 1 068 951)</td><td>1 583 677 (1 446 903; 1 752 892)</td></tr><tr><td>1992</td><td>81 594</td><td>26 541</td><td>362 469</td><td>171 481</td><td>25 078</td><td>670 967 (613 971; 735 702)</td><td>35 473</td><td>53 149</td><td>422 788</td><td>87 958</td><td>104 290</td><td>536 597</td><td>1 256 323 (1 092 013; 1 459 117)</td><td>1 928 240 (1 754 450; 2 142 314)</td></tr><tr><td>1993</td><td>55 075</td><td>21 866</td><td>363 668</td><td>146 918</td><td>24 865</td><td>615 781 (564 544; 672 318)</td><td>50 658</td><td>52 033</td><td>343 589</td><td>122 300</td><td>122 112</td><td>579 135</td><td>1 289 434 (1 109 784; 1 528 048)</td><td>1 906 584 (1 719 134; 2 147 759)</td></tr><tr><td>1994</td><td>30 636</td><td>6 982</td><td>491 264</td><td>173 326</td><td>19 206</td><td>725 410 (654 874; 810 291)</td><td>40 244</td><td>42 896</td><td>440 873</td><td>135 868</td><td>83 832</td><td>588 882</td><td>1 351 459 (1 168 646; 1 580 240)</td><td>2 079 789 (1 881 212; 2 317 766)</td></tr><tr><td>1995</td><td>30 520</td><td>18 281</td><td>320 651</td><td>155 674</td><td>28 114</td><td>556 663 (510 574; 607 355)</td><td>13 533</td><td>52 809</td><td>490 483</td><td>103 797</td><td>77 867</td><td>571 337</td><td>1 320 336 (1 144 867; 1 545 634)</td><td>1 878 843 (1 694 990; 2 107 745)</td></tr><tr><td>1996</td><td>46 952</td><td>9 769</td><td>244 369</td><td>212 210</td><td>16 722</td><td>533 038 (487 509; 585 772)</td><td>16 636</td><td>45 590</td><td>457 680</td><td>76 770</td><td>80 384</td><td>446 637</td><td>1 134 682 (975 370; 1 340 498)</td><td>1 669 406 (1 502 700; 1 882 255)</td></tr><tr><td>1997</td><td>42 594</td><td>13 321</td><td>282 448</td><td>209 096</td><td>7 627</td><td>557 957 (509 341; 611 029)</td><td>8 432</td><td>33 392</td><td>456 297</td><td>69 122</td><td>95 356</td><td>381 237</td><td>1 054 639 (915 511; 1 230 130)</td><td>1 613 629 (1 465 649; 1 796 945)</td></tr><tr><td>1998</td><td>53 660</td><td>22 719</td><td>368 993</td><td>228 596</td><td>6 186</td><td>684 062 (623 273; 751 577)</td><td>16 563</td><td>45 578</td><td>480 275</td><td>75 900</td><td>207 345</td><td>428 514</td><td>1 269 264 (1 109 700; 1 474 480)</td><td>1 954 738 (1 780 392; 2 167 969)</td></tr><tr><td>1999</td><td>78 696</td><td>11 584</td><td>342 061</td><td>176 491</td><td>9 638</td><td>621 609 (567 903; 680 236)</td><td>5 489</td><td>37 106</td><td>445 174</td><td>59 995</td><td>54 217</td><td>286 284</td><td>897 418 (778 223; 1 043 386)</td><td>1 520 648 (1 390 655; 1 674 258)</td></tr><tr><td>2000</td><td>85 420</td><td>12 213</td><td>563 768</td><td>193 205</td><td>17 806</td><td>877 190 (797 968; 966 198)</td><td>14 371</td><td>33 011</td><td>621 321</td><td>91 833</td><td>79 518</td><td>443 006</td><td>1 296 516 (1 120 995; 1 510 821)</td><td>2 176 734 (1 977 256; 2 407 096)</td></tr><tr><td>2001</td><td>62 007</td><td>11 039</td><td>486 089</td><td>259 786</td><td>11 060</td><td>837 711 (747 526; 946 028)</td><td>12 383</td><td>29 524</td><td>492 902</td><td>79 081</td><td>63 277</td><td>466 587</td><td>1 155 634 (1 000 952; 1 361 524)</td><td>1 999 605 (1 817 964; 2 223 942)</td></tr><tr><td>2002</td><td>38 505</td><td>19 129</td><td>297 326</td><td>235 910</td><td>10 606</td><td>606 286 (537 600; 697 967)</td><td>27 875</td><td>36 703</td><td>431 669</td><td>75 296</td><td>112 384</td><td>346 590</td><td>1 045 931 (924 622; 1 195 070)</td><td>1 656 599 (1 511 560; 1 827 902)</td></tr><tr><td>2003</td><td>37 950</td><td>10 107</td><td>412 517</td><td>211 487</td><td>5 783</td><td>683 375 (607 693; 771 211)</td><td>18 351</td><td>43 880</td><td>421 724</td><td>58 131</td><td>70 275</td><td>346 200</td><td>973 397 (845 907; 1 135 483)</td><td>1 659 981 (1 507 886; 1 841 758)</td></tr></tbody></table>
<table><thead><tr><th rowspan="2">Year</th><th colspan="5">Northern NEAC</th><th colspan="6">Southern NEAC</th><th colspan="2">NEAC Area</th></tr><tr><th>Finland</th><th>Iceland (N&E)</th><th>Norway</th><th>Russia</th><th>Sweden</th><th>Northern NEAC (5%; 95%)</th><th>France</th><th>Iceland (S&W)</th><th>Ireland</th><th>UK(EW)</th><th>UK(NI)</th><th>UK(Scot)</th><th>Southern NEAC (5%; 95%)</th><th>NEAC (5%; 95%)</th></tr></thead><tbody><tr><td>2004</td><td>16 136</td><td>27 396</td><td>250 208</td><td>148 105</td><td>4 816</td><td>449 684 (403 686; 506 213)</td><td>22 144</td><td>44 086</td><td>310 754</td><td>104 239</td><td>67 357</td><td>474 525</td><td>1 040 289 (885 537; 1 245 371)</td><td>1 491 708 (1 329 821; 1 705 433)</td></tr><tr><td>2005</td><td>35 223</td><td>24 335</td><td>370 552</td><td>168 688</td><td>4 754</td><td>608 551 (547 829; 680 278)</td><td>14 599</td><td>64 871</td><td>308 913</td><td>85 199</td><td>84 669</td><td>478 020</td><td>1 050 877 (900 579; 1 253 375)</td><td>1 661 916 (1 497 675; 1 874 515)</td></tr><tr><td>2006</td><td>57 842</td><td>25 746</td><td>300 056</td><td>204 128</td><td>5 287</td><td>597 024 (534 580; 675 702)</td><td>20 281</td><td>45 933</td><td>237 483</td><td>83 987</td><td>57 528</td><td>428 434</td><td>887 889 (748 370; 1 079 373)</td><td>1 490 807 (1 330 094; 1 694 065)</td></tr><tr><td>2007</td><td>16 899</td><td>19 045</td><td>168 066</td><td>110 215</td><td>1 640</td><td>317 637 (284 397; 358 970)</td><td>16 025</td><td>52 587</td><td>239 680</td><td>80 153</td><td>85 079</td><td>441 513</td><td>948 317 (774 461; 1 182 607)</td><td>1 268 596 (1 088 900; 1 505 071)</td></tr><tr><td>2008</td><td>18 192</td><td>17 384</td><td>210 270</td><td>114 604</td><td>2 556</td><td>365 541 (328 714; 411 751)</td><td>15 785</td><td>63 672</td><td>252 137</td><td>79 390</td><td>53 320</td><td>355 072</td><td>851 829 (693 900; 1 085 873)</td><td>1 220 622 (1 053 371; 1 455 477)</td></tr><tr><td>2009</td><td>32 288</td><td>28 013</td><td>168 774</td><td>109 009</td><td>2 719</td><td>342 802 (308 585; 382 456)</td><td>4 454</td><td>71 983</td><td>205 112</td><td>49 925</td><td>33 167</td><td>275 731</td><td>664 667 (541 831; 838 838)</td><td>1 008 454 (880 680; 1 185 045)</td></tr><tr><td>2010</td><td>25 953</td><td>22 534</td><td>249 379</td><td>123 821</td><td>4 617</td><td>428 870 (386 830; 477 782)</td><td>14 919</td><td>73 841</td><td>274 409</td><td>98 662</td><td>32 991</td><td>491 811</td><td>1 025 204 (829 113; 1 291 925)</td><td>1 457 467 (1 251 773; 1 725 181)</td></tr><tr><td>2011</td><td>29 526</td><td>18 515</td><td>175 345</td><td>131 635</td><td>5 089</td><td>362 079 (325 518; 405 007)</td><td>10 392</td><td>52 010</td><td>235 495</td><td>65 772</td><td>23 813</td><td>276 539</td><td>690 286 (562 902; 887 067)</td><td>1 055 201 (920 514; 1 254 129)</td></tr><tr><td>2012</td><td>51 108</td><td>9 626</td><td>195 719</td><td>152 660</td><td>5 611</td><td>417 905 (376 044; 471 118)</td><td>11 171</td><td>29 501</td><td>243 217</td><td>37 678</td><td>55 210</td><td>353 054</td><td>759 194 (606 627; 980 577)</td><td>1 178 876 (1 023 162; 1 405 173)</td></tr><tr><td>2013</td><td>29 412</td><td>22 946</td><td>184 435</td><td>118 505</td><td>3 251</td><td>361 864 (323 920; 409 317)</td><td>15 754</td><td>87 953</td><td>204 824</td><td>53 662</td><td>60 658</td><td>278 119</td><td>732 415 (604 807; 910 143)</td><td>1 095 932 (962 432; 1 279 415)</td></tr><tr><td>2014</td><td>41 756</td><td>10 783</td><td>251 473</td><td>111 779</td><td>9 590</td><td>430 205 (381 701; 485 527)</td><td>14 059</td><td>21 742</td><td>126 348</td><td>31 505</td><td>27 380</td><td>161 628</td><td>398 348 (328 884; 502 005)</td><td>831 867 (743 073; 945 380)</td></tr><tr><td>2015</td><td>26 063</td><td>30 481</td><td>221 544</td><td>116 233</td><td>3 098</td><td>401 901 (359 609; 451 714)</td><td>12 875</td><td>60 452</td><td>178 493</td><td>38 576</td><td>29 362</td><td>254 484</td><td>597 461 (489 758; 755 996)</td><td>1 001 553 (881 685; 1 167 465)</td></tr><tr><td>2016</td><td>20 354</td><td>12 976</td><td>171 786</td><td>82 690</td><td>1 669</td><td>292 266 (263 112; 326 920)</td><td>11 700</td><td>35 514</td><td>179 077</td><td>41 205</td><td>55 375</td><td>247 490</td><td>595 557 (483 246; 759 082)</td><td>889 946 (772 355; 1 053 951)</td></tr><tr><td>2017</td><td>13 080</td><td>12 607</td><td>227 070</td><td>29 936</td><td>4 458</td><td>288 695 (258 060; 325 254)</td><td>14 884</td><td>36 806</td><td>195 815</td><td>29 600</td><td>46 920</td><td>216 650</td><td>563 367 (456 149; 733 261)</td><td>853 781 (739 565; 1 024 554)</td></tr><tr><td>2018</td><td>32 876</td><td>13 458</td><td>232 264</td><td>99 601</td><td>7 248</td><td>389 707 (348 672; 438 144)</td><td>12 480</td><td>31 695</td><td>142 275</td><td>38 749</td><td>41 086</td><td>204 292</td><td>491 136 (400 052; 618 334)</td><td>883 383 (781 625; 1 018 361)</td></tr><tr><td>2019</td><td>10 793</td><td>8 065</td><td>180 952</td><td>71 576</td><td>4 192</td><td>278 590 (249 453; 312 402)</td><td>12 706</td><td>21 139</td><td>135 561</td><td>25 948</td><td>22 808</td><td>211 098</td><td>446 081 (354 058; 577 216)</td><td>725 916 (628 052; 861 203)</td></tr><tr><td>2020</td><td>9 377</td><td>8 600</td><td>222 259</td><td>51 868</td><td>6 226</td><td>299 926 (269 457; 335 399)</td><td>10 225</td><td>27 950</td><td>191 340</td><td>49 726</td><td>36 325</td><td>291 708</td><td>627 218 (493 885; 817 897)</td><td>927 994 (790 966; 1 123 750)</td></tr></tbody></table>
<table><thead><tr><th rowspan="2">Year</th><th colspan="5">Northern NEAC</th><th colspan="6">Southern NEAC</th><th colspan="1">NEAC Area</th></tr><tr><th>Finland</th><th>Iceland (N&E)</th><th>Norway</th><th>Russia</th><th>Sweden</th><th>Northern NEAC (5%; 95%)</th><th>France</th><th>Iceland (S&W)</th><th>Ireland</th><th>UK(EW)</th><th>UK(NI)</th><th>UK(Scot)</th><th>Southern NEAC (5%; 95%)</th><th>NEAC (5%; 95%)</th></tr></thead><tbody><tr><td>Mean 10-year</td><td>26 434</td><td>14 806</td><td>206 285</td><td>96 648</td><td>5 043</td><td>352 314 (315 555; 396 080)</td><td>12 624</td><td>40 476</td><td>183 245</td><td>41 242</td><td>39 894</td><td>249 506</td><td>590 106 (478 037; 754 158)</td><td>944 445 (824 343; 1 113 338)</td></tr></tbody></table>
<table><caption>Table 3.3.4.2. Estimated number of returning MSW salmon by year for NEAC countries (50% quantile of the Monte Carlo distribution only) and region (50% (5%; 95%) quantiles of the Monte Carlo distribution).</caption><thead><tr><th rowspan="2">Year</th><th colspan="5">Northern NEAC</th><th colspan="6">Southern NEAC</th><th rowspan="2">NEAC Area</th></tr><tr><th>Finland</th><th>Iceland (N&E)</th><th>Norway</th><th>Russia</th><th>Sweden</th><th>Northern NEAC (5%; 95%)</th><th>France</th><th>Iceland (S&W)</th><th>Ireland</th><th>UK(EW)</th><th>UK(NI)</th><th>UK(Scot)</th><th>Southern NEAC (5%; 95%)</th></tr></thead><tbody><tr><td>1971</td><td>22 855</td><td>9 653</td><td></td><td>132 665</td><td>639</td><td></td><td>10 756</td><td>24 415</td><td>157 543</td><td>91 191</td><td>21 901</td><td>327 487</td><td>640 466 (557 045; 742 158)</td><td></td></tr><tr><td>1972</td><td>23 700</td><td>15 059</td><td></td><td>134 726</td><td>508</td><td></td><td>21 803</td><td>37 487</td><td>168 334</td><td>150 100</td><td>19 163</td><td>433 142</td><td>841 064 (729 428; 971 342)</td><td></td></tr><tr><td>1973</td><td>38 112</td><td>14 092</td><td></td><td>222 448</td><td>2 260</td><td></td><td>13 185</td><td>33 806</td><td>182 374</td><td>114 277</td><td>16 752</td><td>429 488</td><td>799 853 (695 223; 921 779)</td><td></td></tr><tr><td>1974</td><td>65 330</td><td>13 397</td><td></td><td>209 696</td><td>1 418</td><td></td><td>6 128</td><td>29 194</td><td>206 661</td><td>85 017</td><td>18 307</td><td>311 686</td><td>663 697 (579 213; 764 790)</td><td></td></tr><tr><td>1975</td><td>83 524</td><td>14 777</td><td></td><td>225 115</td><td>402</td><td></td><td>12 260</td><td>31 019</td><td>230 477</td><td>113 867</td><td>15 009</td><td>417 154</td><td>830 833 (709 583; 979 033)</td><td></td></tr><tr><td>1976</td><td>65 219</td><td>12 147</td><td></td><td>194 900</td><td>1 208</td><td></td><td>9 044</td><td>26 782</td><td>160 113</td><td>61 186</td><td>10 446</td><td>233 797</td><td>508 496 (432 561; 603 268)</td><td></td></tr><tr><td>1977</td><td>45 288</td><td>16 957</td><td></td><td>134 619</td><td>520</td><td></td><td>6 966</td><td>26 142</td><td>139 750</td><td>76 088</td><td>10 291</td><td>324 988</td><td>590 169 (498 587; 713 274)</td><td></td></tr><tr><td>1978</td><td>23 154</td><td>21 809</td><td></td><td>115 969</td><td>639</td><td></td><td>7 118</td><td>33 789</td><td>121 130</td><td>64 045</td><td>13 405</td><td>442 786</td><td>690 352 (557 983; 873 502)</td><td></td></tr><tr><td>1979</td><td>23 135</td><td>14 431</td><td></td><td>101 586</td><td>1 666</td><td></td><td>8 125</td><td>21 591</td><td>108 640</td><td>32 052</td><td>9 399</td><td>353 026</td><td>537 097 (431 706; 683 482)</td><td></td></tr><tr><td>1980</td><td>22 433</td><td>20 109</td><td></td><td>169 334</td><td>3 236</td><td></td><td>16 948</td><td>30 423</td><td>120 108</td><td>103 888</td><td>11 892</td><td>461 426</td><td>751 579 (623 059; 925 664)</td><td></td></tr><tr><td>1981</td><td>26 656</td><td>7 027</td><td></td><td>96 469</td><td>716</td><td></td><td>11 572</td><td>20 280</td><td>88 838</td><td>145 110</td><td>9 345</td><td>412 214</td><td>695 144 (597 717; 820 514)</td><td></td></tr><tr><td>1982</td><td>35 489</td><td>8 094</td><td></td><td>85 224</td><td>3 485</td><td></td><td>7 156</td><td>14 338</td><td>51 414</td><td>55 953</td><td>13 483</td><td>274 619</td><td>420 706 (355 737; 507 063)</td><td></td></tr><tr><td>1983</td><td>39 099</td><td>6 165</td><td>427 883</td><td>124 167</td><td>2 286</td><td>602 017 (544 478; 667 359)</td><td>7 700</td><td>23 920</td><td>105 993</td><td>64 541</td><td>18 956</td><td>295 844</td><td>521 130 (450 981; 611 605)</td><td>1 124 269 (1 031 904; 1 235 638)</td></tr><tr><td>1984</td><td>32 963</td><td>7 941</td><td>438 599</td><td>123 916</td><td>3 193</td><td>608 267 (551 469; 672 065)</td><td>12 735</td><td>20 245</td><td>76 435</td><td>51 057</td><td>7 449</td><td>261 145</td><td>433 090 (366 128; 525 490)</td><td>1 044 845 (953 358; 1 154 248)</td></tr><tr><td>1985</td><td>31 985</td><td>5 122</td><td>405 022</td><td>135 447</td><td>1 181</td><td>581 088 (527 786; 640 776)</td><td>9 425</td><td>14 706</td><td>83 502</td><td>75 691</td><td>9 645</td><td>271 233</td><td>467 910 (394 411; 569 156)</td><td>1 051 381 (957 362; 1 166 285)</td></tr><tr><td>1986</td><td>26 214</td><td>13 934</td><td>486 425</td><td>133 888</td><td>606</td><td>663 253 (599 492; 736 028)</td><td>9 651</td><td>12 296</td><td>94 892</td><td>103 540</td><td>10 844</td><td>337 660</td><td>574 787 (486 786; 686 728)</td><td>1 239 654 (1 129 295; 1 368 257)</td></tr></tbody></table>