HTS Code 02 - US Import Trends and Trade Data — Panjiva Trendspotting
MENU

Trend report HTS Code 02

United States Import Trends of HTS Code 02 — Meat and edible meat offal Show details

02 Meat and edible meat offal

See detailed trends on the US Dollar value of imports and exports of HTS code 02 from China to the US or any other country. See Details »

Trending Over Time: All Countries (USD)

Loading chart... (having trouble? make sure you have the Adobe Flash Player installed)

$373,787,696.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2009-01 $286,463,661.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2009-02 $374,965,459.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2009-03 $367,829,901.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2009-04 $339,385,795.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2009-05 $356,810,330.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2009-06 $357,402,772.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2009-07 $310,544,834.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2009-08 $276,480,112.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2009-09 $312,837,528.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2009-10 $296,464,723.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2009-11 $339,853,071.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2009-12 $320,101,476.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2010-01 $292,249,438.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2010-02 $402,065,977.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2010-03 $377,147,550.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2010-04 $433,442,705.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2010-05 $495,001,856.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2010-06 $452,636,020.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2010-07 $411,925,603.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2010-08 $344,598,395.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2010-09 $361,003,496.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2010-10 $329,118,268.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2010-11 $366,514,882.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2010-12 $360,666,858.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2011-01 $337,313,496.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2011-02 $467,326,505.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2011-03 $486,910,714.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2011-04 $491,383,877.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2011-05 $495,250,593.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2011-06 $474,109,044.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2011-07 $450,764,858.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2011-08 $385,325,056.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2011-09 $394,510,039.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2011-10 $379,268,642.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2011-11 $398,478,772.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2011-12 $452,686,940.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2012-01 $415,530,090.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2012-02 $544,466,716.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2012-03 $499,827,594.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2012-04 $545,962,600.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2012-05 $509,697,895.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2012-06 $491,255,932.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2012-07 $479,657,768.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2012-08 $386,898,323.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2012-09 $407,261,623.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2012-10 $429,395,472.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2012-11 $444,642,721.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2012-12 $503,589,652.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2013-01 $437,434,176.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2013-02 $553,344,791.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2013-03 $557,039,947.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2013-04 $502,795,705.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2013-05 $490,716,133.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2013-06 $501,919,745.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2013-07 $457,050,127.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2013-08 $429,390,838.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2013-09 $480,994,933.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2013-10 $476,336,077.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2013-11 $454,072,752.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2013-12 $483,400,714.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2014-01 $450,117,159.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2014-02 $652,749,507.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2014-03 $706,967,809.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2014-04 $659,569,071.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2014-05 $670,763,626.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2014-06 $700,454,977.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2014-07 $699,057,923.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2014-08 $742,245,536.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2014-09 $812,452,590.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2014-10 $775,857,446.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2014-11 $870,766,839.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2014-12 $827,424,736.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2015-01 $684,979,065.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2015-02 $883,984,736.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2015-03 $870,918,338.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2015-04 $771,875,994.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2015-05 $879,555,199.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2015-06 $724,936,737.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2015-07 $801,327,638.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2015-08 $773,727,336.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2015-09 $701,626,758.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2015-10 $594,608,292.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2015-11 $600,758,101.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2015-12 $718,108,972.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2016-01 $631,861,267.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2016-02 $729,375,709.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2016-03 $692,779,494.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2016-04 $704,899,751.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2016-05 $701,639,320.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2016-06 $662,179,623.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2016-07 $661,503,322.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2016-08 $550,342,863.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2016-09 $578,389,279.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2016-10 $565,693,921.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2016-11 $533,966,626.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2016-12 $599,968,604.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2017-01 $539,987,464.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2017-02 $713,661,778.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2017-03 $660,420,364.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2017-04 $713,430,582.00 of HTS Code 02 — meat and edible meat offal imported by the US in 2017-05

Value of Goods (USD) entering United States last year

Top 10 Suppliers
Canada $2,349,373,476
Australia $1,858,508,983
Mexico $1,074,574,072
New Zealand $1,054,267,479
Uruguay $211,435,745
Subscribers only $188,313,792
Subscribers only $130,309,287
Chile $126,957,216
Subscribers only $112,054,808
Subscribers only $71,052,340

Loading chart... (having trouble? make sure you have the Adobe Flash Player installed)

Canada exported $2,349,373,476.00 of HTS Code 02 — meat and edible meat offal to the US. Australia exported $1,858,508,983.00 of HTS Code 02 — meat and edible meat offal to the US. Mexico exported $1,074,574,072.00 of HTS Code 02 — meat and edible meat offal to the US. New Zealand exported $1,054,267,479.00 of HTS Code 02 — meat and edible meat offal to the US. Uruguay exported $211,435,745.00 of HTS Code 02 — meat and edible meat offal to the US. A country, available to Panjiva subscribers, exported $188,313,792.00 of HTS Code 02 — meat and edible meat offal to the US. A country, available to Panjiva subscribers, exported $130,309,287.00 of HTS Code 02 — meat and edible meat offal to the US. Chile exported $126,957,216.00 of HTS Code 02 — meat and edible meat offal to the US. A country, available to Panjiva subscribers, exported $112,054,808.00 of HTS Code 02 — meat and edible meat offal to the US. A country, available to Panjiva subscribers, exported $71,052,340.00 of HTS Code 02 — meat and edible meat offal to the US. A country, available to Panjiva subscribers, exported $45,984,577.00 of HTS Code 02 — meat and edible meat offal to the US. A country, available to Panjiva subscribers, exported $45,149,368.00 of HTS Code 02 — meat and edible meat offal to the US. Brazil exported $43,016,293.00 of HTS Code 02 — meat and edible meat offal to the US. A country, available to Panjiva subscribers, exported $40,870,711.00 of HTS Code 02 — meat and edible meat offal to the US. A country, available to Panjiva subscribers, exported $36,478,069.00 of HTS Code 02 — meat and edible meat offal to the US. A country, available to Panjiva subscribers, exported $32,254,644.00 of HTS Code 02 — meat and edible meat offal to the US. A country, available to Panjiva subscribers, exported $25,370,742.00 of HTS Code 02 — meat and edible meat offal to the US. A country, available to Panjiva subscribers, exported $19,019,219.00 of HTS Code 02 — meat and edible meat offal to the US. A country, available to Panjiva subscribers, exported $5,350,768.00 of HTS Code 02 — meat and edible meat offal to the US. A country, available to Panjiva subscribers, exported $2,813,871.00 of HTS Code 02 — meat and edible meat offal to the US. Iceland exported $2,757,880.00 of HTS Code 02 — meat and edible meat offal to the US. A country, available to Panjiva subscribers, exported $2,268,841.00 of HTS Code 02 — meat and edible meat offal to the US. A country, available to Panjiva subscribers, exported $1,355,668.00 of HTS Code 02 — meat and edible meat offal to the US. A country, available to Panjiva subscribers, exported $841,902.00 of HTS Code 02 — meat and edible meat offal to the US. A country, available to Panjiva subscribers, exported $269,134.00 of HTS Code 02 — meat and edible meat offal to the US. A country, available to Panjiva subscribers, exported $104,833.00 of HTS Code 02 — meat and edible meat offal to the US. A country, available to Panjiva subscribers, exported $98,718.00 of HTS Code 02 — meat and edible meat offal to the US. A country, available to Panjiva subscribers, exported $76,007.00 of HTS Code 02 — meat and edible meat offal to the US. A country, available to Panjiva subscribers, exported $72,293.00 of HTS Code 02 — meat and edible meat offal to the US. A country, available to Panjiva subscribers, exported $69,855.00 of HTS Code 02 — meat and edible meat offal to the US. A country, available to Panjiva subscribers, exported $38,753.00 of HTS Code 02 — meat and edible meat offal to the US. A country, available to Panjiva subscribers, exported $32,898.00 of HTS Code 02 — meat and edible meat offal to the US. A country, available to Panjiva subscribers, exported $27,417.00 of HTS Code 02 — meat and edible meat offal to the US. Congo exported $14,087.00 of HTS Code 02 — meat and edible meat offal to the US.

Change in market share last year

Loading chart... (having trouble? make sure you have the Adobe Flash Player installed)

A country, available to Panjiva subscribers, increased in shipments of HTS Code 02 — - to the US by 3.219%.
A country, available to Panjiva subscribers, increased in shipments of HTS Code 02 — - to the US by 1.840%.
A country, available to Panjiva subscribers, increased in shipments of HTS Code 02 — - to the US by 0.741%.
A country, available to Panjiva subscribers, increased in shipments of HTS Code 02 — - to the US by 0.690%.
A country, available to Panjiva subscribers, increased in shipments of HTS Code 02 — - to the US by 0.555%.
A country, available to Panjiva subscribers, increased in shipments of HTS Code 02 — - to the US by 0.248%.
A country, available to Panjiva subscribers, increased in shipments of HTS Code 02 — - to the US by 0.217%.
Spain increased in shipments of HTS Code 02 — - to the US by 0.181%.
Japan increased in shipments of HTS Code 02 — - to the US by 0.148%.
United Kingdom increased in shipments of HTS Code 02 — - to the US by 0.080%.

Ireland decreased in shipments of HTS Code 02 — - to the US by -0.092%.
New Zealand decreased in shipments of HTS Code 02 — - to the US by -0.259%.
Chile decreased in shipments of HTS Code 02 — - to the US by -0.300%.
A country, available to Panjiva subscribers, decreased in shipments of HTS Code 02 — - to the US by -7.391%.

Heatmap Key

Top Global Suppliers (in $1,000 exported)

                      2009                       2010                       2011                       2012                 2013  
Country Trend Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May
 
All sparkline   373,788 286,464 374,965 367,830 339,386 356,810 357,403 310,545 276,480 312,838 296,465 339,853 320,101 292,249 402,066 377,148 433,443 495,002 452,636 411,926 344,598 361,003 329,118 366,515 360,667 337,313 467,327 486,911 491,384 495,251 474,109 450,765 385,325 394,510 379,269 398,479 452,687 415,530 544,467 499,828 545,963 509,698 491,256 479,658 386,898 407,262 429,395 444,643 503,590 437,434 553,345 557,040 502,796 490,716 501,920 457,050 429,391 480,995 476,336 454,073 483,401 450,117 652,750 706,968 659,569 670,764 700,455 699,058 742,246 812,453 775,857 870,767 827,425 684,979 883,985 870,918 771,876 879,555 724,937 801,328 773,727 701,627 594,608 600,758 718,109 631,861 729,376 692,779 704,900 701,639 662,180 661,503 550,343 578,389 565,694 533,967 599,969 539,987 713,662 660,420 713,431  
1. Canada sparkline   138,244 127,970 143,106 127,879 126,034 131,839 134,171 136,999 128,569 126,633 132,481 136,479 140,783 133,884 162,343 151,072 181,769 182,982 173,984 183,633 177,983 172,174 149,594 142,516 152,362 138,644 171,634 160,458 170,437 161,495 166,316 185,916 169,633 176,862 173,385 166,282 169,406 174,352 189,048 157,484 162,942 159,016 157,575 170,480 136,467 131,479 135,492 130,868 154,204 147,358 176,695 164,832 169,637 163,075 166,676 172,996 173,706 182,939 186,502 156,705 162,635 161,774 234,056 218,349 204,178 212,456 208,484 214,833 229,523 257,970 229,519 220,356 211,883 191,625 218,685 195,855 189,885 205,528 183,789 223,736 216,186 215,416 202,551 175,894 193,092 190,751 211,374 195,896 196,621 186,570 200,257 212,983 204,973 214,833 198,734 184,921 166,271 175,162 203,251 196,858 204,559  
2. Australia sparkline   118,942 59,783 107,442 125,984 102,693 100,930 99,390 87,647 75,078 101,571 81,995 90,496 83,035 49,149 92,200 86,232 98,404 134,845 135,458 118,660 77,976 88,772 86,771 97,391 71,429 46,279 110,434 129,552 115,678 122,562 132,967 120,527 98,440 98,495 97,194 99,552 122,185 82,456 128,966 140,453 162,976 125,823 122,644 135,566 105,253 128,200 135,907 128,265 139,561 84,489 134,406 135,624 119,546 131,570 137,210 118,504 113,117 134,558 142,450 133,707 135,818 87,911 159,671 218,549 177,158 187,902 220,849 227,949 271,473 322,038 318,848 324,371 307,613 183,608 268,306 312,493 264,274 322,455 238,577 301,360 310,420 235,129 187,844 176,488 243,542 149,783 207,078 194,684 189,712 197,371 169,917 173,414 122,455 130,787 130,510 132,157 172,645 110,599 183,619 168,647 166,388  
3. New Zealand sparkline   62,883 54,186 68,095 69,044 66,226 70,673 67,352 34,778 19,078 28,884 29,551 52,528 48,063 56,527 81,340 82,242 96,481 108,024 73,644 41,717 26,182 32,528 26,832 54,663 69,958 81,949 88,519 107,236 124,136 128,036 94,645 59,461 39,320 34,413 28,711 49,234 69,412 69,975 124,598 104,642 113,249 126,527 103,389 65,534 39,790 36,815 42,602 66,358 91,816 93,904 126,420 138,062 105,958 93,403 83,898 60,752 36,920 50,162 43,462 59,035 76,982 89,669 117,554 133,045 123,774 123,816 122,583 81,107 61,821 65,123 60,282 125,467 132,334 129,696 189,916 184,211 132,793 158,061 121,078 100,983 75,347 64,051 42,678 72,416 113,619 111,080 119,508 118,033 130,710 132,367 118,930 72,738 48,514 52,709 48,228 58,302 83,187 101,078 127,072 92,767 118,377  
4. Mexico sparkline   9,746 8,667 10,300 9,597 12,085 14,966 12,441 10,240 10,298 11,853 11,134 13,498 12,812 11,219 17,948 17,327 18,873 21,134 20,974 23,720 20,479 19,761 21,623 21,786 22,769 24,840 35,155 29,238 31,012 31,026 27,763 30,135 27,072 27,093 30,296 29,575 36,342 39,194 41,367 38,227 50,469 44,916 49,322 52,693 46,344 52,276 50,020 46,493 51,082 50,143 51,073 50,909 46,940 45,692 48,443 48,139 45,276 52,174 48,111 45,199 50,272 52,406 68,060 55,775 70,501 68,516 78,174 79,682 80,453 76,639 69,159 86,818 79,794 87,056 102,189 95,309 91,766 99,751 105,354 90,211 80,101 86,815 77,435 75,211 80,184 89,353 92,014 95,228 99,558 95,846 82,960 99,427 88,895 91,977 93,312 80,330 90,966 82,240 92,111 79,527 96,982  
5. Nicaragua sparkline   3,096 3,985 6,755 5,423 4,520 6,189 8,825 7,976 7,963 7,288 8,170 7,981 6,791 7,571 10,573 7,674 6,635 9,323 9,385 8,687 8,216 10,388 9,170 10,519 10,302 13,528 14,758 15,161 12,913 16,496 13,227 17,055 12,371 12,462 15,001 11,554 11,374 13,738 13,535 11,213 15,093 7,003 8,226 9,969 11,465 12,245 13,271 12,882 14,112 12,548 13,700 11,109 9,035 8,178 8,254 8,409 10,534 10,620 8,545 12,161 11,205 12,643 14,423 17,905 12,743 9,009 8,199 19,126 26,268 27,392 32,499 38,763 29,982 20,749 18,239 15,883 12,993 13,516 10,942 7,296 11,121 16,462 13,967 13,867 14,175 11,636 12,783 13,068 13,096 11,139 11,321 20,240 15,428 17,196 18,879 11,041 15,345 12,069 18,240 20,240 17,173  
6. Subscribers only sparkline   10,749 9,376 12,751 5,035 6,496 5,898 7,990 7,270 7,210 7,743 5,678 7,479 3,537 4,867 6,115 6,587 8,705 11,224 8,597 5,788 4,065 5,324 3,564 5,621 5,143 5,340 7,606 6,746 5,727 5,279 7,271 4,819 6,746 7,754 3,029 9,889 11,098 6,940 8,757 10,694 11,049 9,106 10,899 7,350 10,348 7,031 10,570 15,154 18,055 14,057 12,663 16,344 12,353 13,244 13,835 8,926 7,916 6,559 7,746 9,144 8,369 10,300 13,056 13,872 11,955 19,182 16,217 18,034 15,754 12,932 14,436 17,890 21,071 21,834 26,919 16,142 31,420 27,564 18,024 24,926 19,570 22,184 15,926 16,359 15,775 15,965 16,180 15,089 15,583 15,695 18,067 22,186 19,052 15,691 18,530 17,563 15,088 8,752 15,093 22,337 23,382  
7. Subscribers only sparkline   18,281 10,463 8,473 11,440 9,783 10,477 13,078 9,230 12,216 12,292 9,501 12,226 9,733 11,125 14,894 11,928 9,583 13,265 13,528 11,679 10,396 10,370 8,330 10,244 9,026 9,487 17,757 15,578 11,535 10,141 10,576 11,790 9,662 14,844 9,344 10,766 10,841 10,052 13,699 16,435 8,355 12,729 14,941 11,090 10,031 10,738 10,848 13,760 10,754 10,547 11,465 12,941 10,253 10,004 13,983 9,163 9,133 9,837 8,948 10,202 12,020 9,697 15,976 15,832 15,791 12,368 10,438 10,952 12,797 12,599 8,422 9,846 10,367 9,323 14,597 12,633 11,150 11,145 8,089 10,250 11,177 9,073 9,462 11,508 10,639 9,046 12,725 13,008 9,422 9,055 11,777 10,976 9,350 8,786 7,169 6,268 9,147 5,541 13,459 10,857 9,670  
8. Chile sparkline   868 346 1,104 1,342 1,797 2,671 2,249 3,117 3,091 2,652 3,406 4,991 3,685 4,135 3,137 1,726 2,735 2,207 5,504 6,093 7,149 5,605 5,236 4,794 3,033 1,991 4,272 5,388 3,848 4,880 4,558 5,327 4,686 3,499 5,164 5,251 6,321 5,213 5,209 3,164 3,047 9,175 5,314 8,071 6,019 6,090 7,224 7,987 5,554 5,884 5,572 6,279 6,376 6,942 8,691 5,740 7,436 8,316 8,424 5,877 6,170 4,425 6,858 6,855 8,025 8,677 7,370 10,184 7,950 5,070 9,476 10,083 6,555 9,021 10,782 8,408 9,825 11,980 12,718 12,525 13,605 15,190 11,618 20,513 14,572 18,274 16,001 11,745 12,096 10,662 11,025 11,555 9,221 11,080 13,880 10,182 12,042 6,315 7,719 11,886 11,389  
9. Subscribers only sparkline   3,544 3,336 3,674 3,774 2,387 4,395 3,918 4,905 3,879 5,212 4,419 4,197 3,174 4,110 3,723 3,550 2,982 3,060 3,226 4,532 4,580 6,027 5,646 4,346 3,214 3,541 4,658 3,764 3,751 4,622 5,278 4,462 5,495 6,736 6,538 4,505 4,180 3,716 5,815 4,940 4,966 4,545 6,141 5,054 6,767 6,658 6,171 8,644 4,577 5,280 4,933 5,294 4,893 5,130 7,195 7,381 6,709 8,616 6,561 5,982 5,453 5,914 5,110 7,061 6,034 5,843 6,546 6,017 6,528 7,902 6,881 7,702 4,549 5,708 5,712 4,908 7,312 8,327 6,844 5,671 7,138 7,654 5,300 8,134 7,216 4,705 5,326 6,064 5,606 5,596 5,996 7,680 5,652 6,996 7,757 5,550 5,412 5,079 5,162 5,173 4,999  
10. Subscribers only sparkline   356 366 381 222 533 352 563 162 363 692 600 517 468 341 540 1,415 620 645 815 781 750 812 601 647 649 918 791 819 283 622 350 538 366 380 344 504 426 792 483 793 331 697 477 526 926 645 893 637 878 1,261 913 1,186 872 1,202 2,597 3,275 2,612 2,120 1,005 1,580 1,443 1,645 1,979 1,672 12,546 7,398 7,326 10,659 10,400 4,282 4,701 5,215 5,826 7,693 8,266 5,061 2,334 3,165 4,512 6,208 6,023 7,584 7,202 10,291 9,533 8,636 12,873 6,188 7,757 13,086 13,946 7,895 4,950 6,596 5,220 6,091 6,386 9,277 17,161 21,195 18,507  
11. Subscribers only sparkline   884 2,080 1,872 1,666 1,440 1,448 2,430 2,165 2,271 1,822 2,301 1,993 1,416 1,503 2,021 1,501 2,310 2,527 2,904 2,101 2,626 2,062 2,532 2,308 2,134 2,246 2,456 2,145 1,391 2,282 2,070 2,193 2,638 1,934 2,185 2,229 2,204 1,791 2,686 1,273 2,068 1,547 2,270 2,869 3,022 2,768 3,514 3,408 2,943 2,532 2,903 2,579 2,908 2,494 1,477 2,352 2,669 2,276 2,536 3,660 2,720 3,278 3,672 3,465 2,039 1,595 2,558 4,696 5,142 5,259 6,054 6,475 3,805 7,562 4,827 4,253 2,798 3,689 1,691 3,365 4,903 3,794 2,729 2,838 2,539 3,904 3,069 3,445 3,925 2,872 2,493 3,087 3,275 3,342 2,642 2,798 2,869 2,362 5,387 2,791 2,559  
12. Subscribers only sparkline   541 1,241 1,043 460 243 647 537 707 928 695 550 1,290 1,026 995 1,304 979 940 1,089 686 819 912 1,534 870 937 1,251 1,209 1,295 1,310 1,177 1,144 1,610 1,130 1,360 1,170 696 956 489 862 825 1,451 1,706 1,352 2,025 1,663 1,187 1,843 2,155 1,055 1,262 1,600 2,824 2,435 2,911 1,701 2,291 1,906 2,012 1,777 1,474 2,207 1,568 1,220 1,266 1,536 3,008 2,729 2,706 2,337 1,709 1,641 1,455 2,921 1,905 1,609 2,517 1,850 1,653 1,494 1,775 2,454 2,280 1,443 2,461 3,047 1,602 3,312 2,936 4,171 3,394 4,189 2,478 2,896 1,923 2,755 4,573 4,662 3,676 4,253 4,245 3,233 6,266  
13. Ireland sparkline   108 674 1,546 524 247 696 611 494 470 745 464 746 441 627 1,103 471 625 1,151 712 911 970 745 1,114 955 848 1,348 1,141 924 1,287 1,072 1,101 615 937 1,221 901 1,195 1,912 1,342 2,355 1,944 1,954 1,059 1,405 1,697 1,142 1,481 1,357 1,145 1,852 903 1,617 1,577 956 1,550 1,574 1,495 1,206 1,648 1,469 1,377 1,636 1,395 1,882 2,217 2,688 1,588 1,715 2,566 1,525 1,834 2,632 3,572 2,589 1,307 4,553 4,407 2,609 2,676 1,596 3,252 4,272 4,571 3,392 2,899 4,281 4,140 4,971 4,656 4,003 3,999 2,676 3,815 3,635 1,742 2,935 2,360 2,977 1,720 2,608 2,123 1,666  
14. Subscribers only sparkline   662 146 1,493 169 723 1,231 106 590 408 621 1,511 628 634 193 472 425 452 550 681 191 570 615 800 928 583 927 681 1,242 751 783 799 1,082 1,688 1,487 913 771 652 928 1,096 1,229 485 1,043 1,160 1,294 1,306 682 1,482 259 797 1,226 1,218 1,146 1,515 1,169 1,049 1,766 1,677 2,486 3,046 1,676 1,805 1,706 1,975 2,244 3,264 2,719 2,237 3,170 2,121 3,376 3,926 2,552 1,186 948 2,624 1,924 3,038 2,605 3,697 2,215 2,759 3,073 3,077 2,786 723 3,345 4,564 3,885 4,326 4,757 2,724 3,420 3,607 3,286 3,706 3,836 2,705 3,372 4,426 4,581 5,566  
15. Subscribers only sparkline   139 415 1,242 1,015 575 794 984 965 721 971 598 1,128 779 705 856 914 568 866 911 1,067 755 777 903 830 1,095 395 1,323 903 1,038 632 704 710 1,070 897 1,165 571 931 439 1,166 1,457 1,200 1,041 1,158 1,345 707 1,119 1,505 1,555 875 1,385 1,326 2,157 1,779 1,016 1,589 1,059 1,195 1,255 1,254 2,139 849 1,605 2,319 2,410 1,067 1,510 1,353 1,621 1,147 1,153 1,632 1,667 2,075 1,723 1,658 2,085 2,408 2,802 2,316 2,683 3,114 3,983 3,981 4,511 2,307 3,341 2,993 3,621 4,207 3,098 3,538 2,965 2,211 3,317 3,903 3,621 3,192 3,163 4,196 2,639 5,029  
16. Subscribers only sparkline   2,452 1,543 1,799 2,282 2,132 1,858 795 1,193 1,283 918 1,311 1,316 1,499 1,808 817 1,976 1,207 892 1,290 782 308 1,753 3,606 5,282 4,725 2,917 1,688 2,925 2,675 1,854 2,160 2,339 816 788 790 753 1,192 656 271 557 1,511 1,156 1,589 768 935 1,041 1,943 1,476 2,245 1,309 847 856 1,738 738 544 706 1,080 1,234 1,288 637 1,349 1,233 1,516 2,082 2,458 2,523 1,300 2,701 3,468 2,107 2,165 2,010 1,920 1,742 997 1,991 2,218 2,479 1,806 2,392 1,672 943 1,655 1,188 1,739 1,622 668 1,360 2,210 1,382 955 2,057 885 959 1,856 1,537 2,107 1,882 1,334 2,340 1,723  
17. Subscribers only sparkline   303 269 306 136 233 45 237 240 648 383 641 459 370 897 970 0 0 0 0 0 0 396 755 1,384 981 1,357 1,809 2,131 2,815 1,619 1,988 2,126 1,679 2,362 2,388 3,419 2,708 1,808 3,761 2,476 2,897 1,625 1,329 1,907 2,098 3,042 1,653 1,989 1,566 1,072 2,509 1,679 1,928 1,092 955 1,283 2,342 1,227 949 1,081 991 1,279 1,062 967 694 1,131 858 1,351 1,577 1,936 1,440 1,724 1,516 1,128 971 779 1,075 409 0 0 0 0 0 0 0 0 37 94 0 0 0 0 0 0 0 0 0 0 0 0 0  
18. Subscribers only sparkline   589 273 197 342 367 443 517 625 507 706 587 730 543 562 573 510 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 504 599 718 833 449 392 587 699 654 583 604 639 759 1,136 1,040 826 793 867 849 1,456 943 947 811 779 686 1,082 1,377 1,806 878 664 1,330 1,592 1,015 1,136 665 971 1,862 1,250 1,915 1,871 1,172 1,368 1,513 1,548 1,084 1,929 1,409 1,926 2,824 2,619 1,095 218 2,444 1,885 1,585 3,364 4,072  
19. Subscribers only sparkline   0 0 0 0 42 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 76 35 0 0 64 72 61 83 0 0 0 175 68 226 234 309 235 284 855 1,055 1,193 801 1,393 1,773 1,733 2,379 3,406 5,797 8,658 13,973  
20. Subscribers only sparkline   117 287 417 293 332 406 200 297 297 243 277 327 172 266 274 148 244 471 243 440 67 409 349 335 352 228 372 372 212 347 267 352 485 529 475 269 341 531 176 446 321 370 34 457 298 171 464 26 275 205 274 389 220 290 176 290 657 315 446 208 385 441 572 422 130 198 206 420 435 221 404 326 228 422 183 183 157 457 157 209 157 157 314 157 157 315 299 16 323 140 170 162 162 471 315 174 157 327 320 259 158  
21. Israel sparkline   724 561 579 887 492 494 417 727 437 258 438 255 765 956 349 160 0 0 0 0 0 0 0 37 46 0 168 0 4.26 112 151 0 0 201 223 271 235 324 136 124 28 85 0 232 13 4.16 140 67 123 376 293 154 145 144 148 460 124 29 6.64 89 11 188 318 193 0 121 0 110 169 309 0 501 878 902 107 572 532 0 695 297 306 739 196 188 562 535 1,640 278 529 556 224 290 563 416 303 219 438 1,108 323 500 410  
22. Subscribers only sparkline   359 260 1,784 281 0 98 223 0 117 137 629 198 323 434 237 246 217 465 0 214 88 280 333 504 407 0 545 892 530 0 229 0 404 470 411 484 245 358 219 219 318 251 252 131 383 132 136 554 267 538 398 126 553 277 147 145 283 277 546 125 552 277 477 685 321 129 367 147 184 415 266 312 267 345 374 230 438 142 216 0 130 222 365 260 253 232 356 130 257 225 122 0 64 464 125 137 225 138 185 270 315  
23. Subscribers only sparkline   0 0 0 0 0 0 0 0 339 315 76 0 34 0 0 0 0 0 0 90 433 618 205 68 0 0 0 0 0 0 0 83 400 838 103 308 41 0 0 0 0 0 23 180 1,001 1,010 236 47 0 0 0 0 0 0 0 286 1,413 713 185 0 2.94 0 0 0 0 0 0 203 927 903 95 79 0 0 0 0 0 0 29 107 1,093 1,515 158 102 0 9.72 0 0 0 0 0 285 1,791 497 46 0 0 0 72 2.43 64  
24. Subscribers only sparkline   48 0 12 0 0 0 0 0 29 3.24 58 0 0 5.04 0 29 0 0 0 0 0 0 93 29 20 17 110 0 92 0 0 104 0 29 0 0 123 0 152 480 773 392 779 464 589 874 800 907 242 247 689 250 968 885 332 941 221 403 187 80 176 0 0 31 0 0 0 31 0 31 0 0 0 0 0 0 32 0 0 32 0 0 0 31 0 0 0 16 12 31 0 0 15 0 0 0 28 0 0 31 0  
25. Subscribers only sparkline   0 0 68 0 0 112 109 0 0 112 0 89 0 88 0 30 91 0 34 15 94 47 0 42 103 151 24 123 93 119 64 0 48 39 0 62 18 63 145 119 119 117 36 100 34 0 53 86 0 100 18 38 50 172 71 50 151 92 76 40 130 33 33 127 93 106 49 253 103 138 65 67 146 57 147 71 65 113 172 178 129 111 51 86 112 68 117 131 124 167 92 163 55 68 61 100 105 241 99 134 71  
26. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 67 0 204 271 318 242 186 87 77 0 375 525 163 67 371 201 200 81 334 66 209 66 133 69 207 69 84 68 95 0 168 0 66 0 0 0 0 0 0 0 0 56 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
27. Subscribers only sparkline   137 0 394 30 0 137 252 137 274 0 90 274 0 274 270 0 0 276 0 0 0 0 0 342 131 0 123 0 0 124 0 0 0 0 0 0 0 0 0 0 105 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
28. Subscribers only sparkline   0 235 130 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 266 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 85 71 83 11 46 0 0 125 0 0 106 7.70 0 0 0 101 0 260 33 85 25 72 174 29 128 35 51 40 91 2.83 83 46 144 153 6.12 116 0 109  
29. Subscribers only sparkline   5.13 2.57 2.60 0 5.49 5.60 7.50 0 3.04 0 0 25 15 8.74 2.91 5.57 0 2.50 5.64 4.35 0 6.78 0 5.60 0 0 0 0 0 0 5.64 0 5.15 5.60 7.72 36 3.70 0 0 8.70 0 5.15 0 13 0 0 0 0 13 0 0 0 0 0 0 14 6.49 27 0 0 0 2.25 0 0 0 2.22 8.37 0 13 0 0 2.46 13 0 12 5.64 15 0 0 0 0 0 7.96 0 0 0 10 0 0 0 6.67 21 0 5.88 0 19 12 9.60 13 6.35 5.82  
30. Subscribers only sparkline   0 0 0 0 0 0 0 81 0 0 0 0 3.43 0 0 0 3.98 4.05 56 0 0 0 0 0 0 0 0 0 0 4.63 0 0 3.52 0 0 35 0 0 0 0 0 4.37 0 0 0 0 0 0 0 0 0 0 0 0 0 0 36 0 0 0 0 0 0 0 17 0 19 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 0 0 26 0 0 0 0 0 76 0 0 0 0 0 0  
31. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9.79 0 0 0 0 0 0 0 84 62 0 0 0 0 0 73 146 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
32. Subscribers only sparkline   7.71 0 0 0 0 0 0 0 0 85 0 0 0 0 0 0 0 0 0 0 0 0 186 0 96 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
33. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 269 0 0 0 0 0 0 0  
34. Peru sparkline   0 0 0 0 0 4.66 0 0 3.85 2.17 0 0 0 0 5.75 0 0 0 0 0 0 0 3.33 0 9.76 0 4.10 2.63 0 0 8.27 0 0 0 5.85 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9.56 0 2.22 7.19 0 0 11 5.07 0 0 7.24 19 17 15 0 63 0 0 0 0 4.80 0 20 0 2.94 0 0 0 0  
35. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 116 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
36. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 89 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
37. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2.25 0 0 0 0 0 0 0 0 6.30 6.30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 70 0 0  
38. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 84 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
39. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 30 0 23 0 0 0 0 0 0 18  
40. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 46 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
41. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9.61 0 29 0 0 0 0 0 0 0  
42. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 33 0 0 0 0 0 0 0 0  
43. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 29 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
44. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3.64 10 0 0 0 0  
45. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5.00 4.80 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
46. Subscribers only sparkline   0 0 0 4.13 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
47. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
48. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
49. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
50. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
51. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
52. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
53. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
54. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
55. Ukraine sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
56. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
57. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
58. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
59. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
60. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
61. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
62. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
63. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
64. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
65. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
66. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
67. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
68. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
69. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
70. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
71. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
72. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
73. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
74. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
75. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
76. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
77. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
78. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
79. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
80. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
81. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
82. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
83. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
84. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
85. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
86. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
87. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
88. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
89. Saint Vincent and the Grenadines sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
90. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
91. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
92. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
93. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
94. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
95. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
96. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
97. Subscribers only sparkline   0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0