Project2DATA607DataSet3
Banu Boopalan
11/4/2019
Project 2 :DataSet3 Analysis. This dataset has Year data spread in a wide format. So, we can transform and create a long format.
Your task is to: For each of the three chosen datasets: • Create a .CSV file (or optionally, a MySQL database!) that includes all of the information included in the dataset. You’re encouraged to use a “wide” structure similar to how the information appears in the discussion item, so that you can practice tidying and transformations as described below.
DATASET SOURCE: UN World Populalation Dataset Suggested citation: United Nations, Department of Economic and Social Affairs, Population Division (2019). World Population Prospects 2019, Online Edition. Rev. 1.
myurl <- "https://raw.githubusercontent.com/BanuB/DATA607Project2/master/WorldTOTAL_POPULATION_BOTH_SEXESFinal.csv"
csvdata4 <- read.csv(file=myurl, header=TRUE,sep=",",stringsAsFactors = FALSE,na.strings=c("NA"))
filename<- "WorldPopulationDataset3.csv"After reading in data, keep only some records and certain coloums using subset
mydataset <- subset(csvdata4, csvdata4$X.4 == 'Country/Area' |csvdata4$X.4 == 'Type' )
str(mydataset)## 'data.frame': 236 obs. of 78 variables:
## $ ï.. : chr "Index" "27" "28" "29" ...
## $ X : chr "Variant" "Estimates" "Estimates" "Estimates" ...
## $ X.1 : chr "Region, subregion, country or area *" "Burundi" "Comoros" "Djibouti" ...
## $ X.2 : chr "Notes" "" "" "" ...
## $ X.3 : chr "Country code" "108" "174" "262" ...
## $ X.4 : chr "Type" "Country/Area" "Country/Area" "Country/Area" ...
## $ X.5 : chr "Parent code" "910" "910" "910" ...
## $ Total.population..both.sexes.combined..as.of.1.July..thousands.: chr "1950" " 2 309" " 159" " 62" ...
## $ X.6 : chr "1951" " 2 360" " 163" " 63" ...
## $ X.7 : chr "1952" " 2 406" " 167" " 65" ...
## $ X.8 : chr "1953" " 2 449" " 170" " 66" ...
## $ X.9 : chr "1954" " 2 492" " 173" " 68" ...
## $ X.10 : chr "1955" " 2 537" " 176" " 70" ...
## $ X.11 : chr "1956" " 2 585" " 179" " 71" ...
## $ X.12 : chr "1957" " 2 636" " 182" " 74" ...
## $ X.13 : chr "1958" " 2 689" " 185" " 76" ...
## $ X.14 : chr "1959" " 2 743" " 188" " 80" ...
## $ X.15 : chr "1960" " 2 798" " 191" " 84" ...
## $ X.16 : chr "1961" " 2 852" " 194" " 89" ...
## $ X.17 : chr "1962" " 2 907" " 197" " 94" ...
## $ X.18 : chr "1963" " 2 964" " 200" " 101" ...
## $ X.19 : chr "1964" " 3 026" " 204" " 108" ...
## $ X.20 : chr "1965" " 3 094" " 207" " 115" ...
## $ X.21 : chr "1966" " 3 170" " 211" " 123" ...
## $ X.22 : chr "1967" " 3 253" " 216" " 131" ...
## $ X.23 : chr "1968" " 3 337" " 221" " 140" ...
## $ X.24 : chr "1969" " 3 414" " 225" " 150" ...
## $ X.25 : chr "1970" " 3 479" " 230" " 160" ...
## $ X.26 : chr "1971" " 3 530" " 235" " 169" ...
## $ X.27 : chr "1972" " 3 570" " 239" " 179" ...
## $ X.28 : chr "1973" " 3 605" " 244" " 191" ...
## $ X.29 : chr "1974" " 3 646" " 250" " 205" ...
## $ X.30 : chr "1975" " 3 701" " 257" " 224" ...
## $ X.31 : chr "1976" " 3 771" " 266" " 249" ...
## $ X.32 : chr "1977" " 3 854" " 276" " 277" ...
## $ X.33 : chr "1978" " 3 949" " 287" " 308" ...
## $ X.34 : chr "1979" " 4 051" " 297" " 336" ...
## $ X.35 : chr "1980" " 4 157" " 308" " 359" ...
## $ X.36 : chr "1981" " 4 267" " 318" " 375" ...
## $ X.37 : chr "1982" " 4 380" " 327" " 385" ...
## $ X.38 : chr "1983" " 4 498" " 336" " 394" ...
## $ X.39 : chr "1984" " 4 621" " 345" " 406" ...
## $ X.40 : chr "1985" " 4 751" " 355" " 426" ...
## $ X.41 : chr "1986" " 4 887" " 366" " 454" ...
## $ X.42 : chr "1987" " 5 027" " 377" " 490" ...
## $ X.43 : chr "1988" " 5 169" " 388" " 529" ...
## $ X.44 : chr "1989" " 5 307" " 400" " 564" ...
## $ X.45 : chr "1990" " 5 439" " 412" " 590" ...
## $ X.46 : chr "1991" " 5 565" " 424" " 607" ...
## $ X.47 : chr "1992" " 5 686" " 436" " 615" ...
## $ X.48 : chr "1993" " 5 798" " 449" " 619" ...
## $ X.49 : chr "1994" " 5 899" " 462" " 622" ...
## $ X.50 : chr "1995" " 5 987" " 475" " 630" ...
## $ X.51 : chr "1996" " 6 060" " 489" " 644" ...
## $ X.52 : chr "1997" " 6 122" " 502" " 661" ...
## $ X.53 : chr "1998" " 6 186" " 515" " 680" ...
## $ X.54 : chr "1999" " 6 267" " 529" " 700" ...
## $ X.55 : chr "2000" " 6 379" " 542" " 718" ...
## $ X.56 : chr "2001" " 6 526" " 556" " 733" ...
## $ X.57 : chr "2002" " 6 704" " 569" " 747" ...
## $ X.58 : chr "2003" " 6 909" " 583" " 760" ...
## $ X.59 : chr "2004" " 7 132" " 597" " 772" ...
## $ X.60 : chr "2005" " 7 365" " 612" " 783" ...
## $ X.61 : chr "2006" " 7 608" " 626" " 795" ...
## $ X.62 : chr "2007" " 7 862" " 642" " 805" ...
## $ X.63 : chr "2008" " 8 126" " 657" " 816" ...
## $ X.64 : chr "2009" " 8 398" " 673" " 828" ...
## $ X.65 : chr "2010" " 8 676" " 690" " 840" ...
## $ X.66 : chr "2011" " 8 958" " 707" " 854" ...
## $ X.67 : chr "2012" " 9 246" " 724" " 868" ...
## $ X.68 : chr "2013" " 9 540" " 742" " 883" ...
## $ X.69 : chr "2014" " 9 844" " 759" " 899" ...
## $ X.70 : chr "2015" " 10 160" " 777" " 914" ...
## $ X.71 : chr "2016" " 10 488" " 796" " 929" ...
## $ X.72 : chr "2017" " 10 827" " 814" " 944" ...
## $ X.73 : chr "2018" " 11 175" " 832" " 959" ...
## $ X.74 : chr "2019" " 11 531" " 851" " 974" ...
## $ X.75 : chr "2020" " 11 891" " 870" " 988" ...head(mydataset, n=10)## ï.. X X.1 X.2 X.3
## 1 Index Variant Region, subregion, country or area * Notes Country code
## 28 27 Estimates Burundi 108
## 29 28 Estimates Comoros 174
## 30 29 Estimates Djibouti 262
## 31 30 Estimates Eritrea 232
## 32 31 Estimates Ethiopia 231
## 33 32 Estimates Kenya 404
## 34 33 Estimates Madagascar 450
## 35 34 Estimates Malawi 454
## 36 35 Estimates Mauritius 1 480
## X.4 X.5
## 1 Type Parent code
## 28 Country/Area 910
## 29 Country/Area 910
## 30 Country/Area 910
## 31 Country/Area 910
## 32 Country/Area 910
## 33 Country/Area 910
## 34 Country/Area 910
## 35 Country/Area 910
## 36 Country/Area 910
## Total.population..both.sexes.combined..as.of.1.July..thousands.
## 1 1950
## 28 2 309
## 29 159
## 30 62
## 31 822
## 32 18 128
## 33 6 077
## 34 4 084
## 35 2 954
## 36 493
## X.6 X.7 X.8 X.9 X.10 X.11 X.12 X.13
## 1 1951 1952 1953 1954 1955 1956 1957 1958
## 28 2 360 2 406 2 449 2 492 2 537 2 585 2 636 2 689
## 29 163 167 170 173 176 179 182 185
## 30 63 65 66 68 70 71 74 76
## 31 835 849 865 882 900 919 939 961
## 32 18 467 18 820 19 184 19 560 19 947 20 348 20 764 21 201
## 33 6 242 6 416 6 598 6 789 6 988 7 195 7 412 7 638
## 34 4 168 4 257 4 349 4 444 4 544 4 647 4 754 4 865
## 35 3 012 3 072 3 136 3 202 3 271 3 342 3 417 3 495
## 36 506 521 537 554 571 588 605 623
## X.14 X.15 X.16 X.17 X.18 X.19 X.20 X.21
## 1 1959 1960 1961 1962 1963 1964 1965 1966
## 28 2 743 2 798 2 852 2 907 2 964 3 026 3 094 3 170
## 29 188 191 194 197 200 204 207 211
## 30 80 84 89 94 101 108 115 123
## 31 983 1 008 1 033 1 060 1 089 1 118 1 148 1 179
## 32 21 662 22 151 22 671 23 221 23 798 24 397 25 014 25 641
## 33 7 874 8 120 8 378 8 647 8 929 9 223 9 530 9 851
## 34 4 980 5 099 5 224 5 352 5 486 5 625 5 769 5 919
## 35 3 576 3 660 3 748 3 839 3 934 4 032 4 134 4 240
## 36 641 660 679 698 717 736 753 770
## X.22 X.23 X.24 X.25 X.26 X.27 X.28 X.29
## 1 1967 1968 1969 1970 1971 1972 1973 1974
## 28 3 253 3 337 3 414 3 479 3 530 3 570 3 605 3 646
## 29 216 221 225 230 235 239 244 250
## 30 131 140 150 160 169 179 191 205
## 31 1 210 1 243 1 276 1 311 1 347 1 385 1 424 1 464
## 32 26 280 26 944 27 653 28 415 29 249 30 141 31 037 31 861
## 33 10 187 10 540 10 911 11 301 11 713 12 146 12 601 13 077
## 34 6 074 6 234 6 402 6 576 6 758 6 947 7 143 7 346
## 35 4 350 4 464 4 582 4 704 4 829 4 959 5 093 5 235
## 36 785 799 813 826 840 852 865 878
## X.30 X.31 X.32 X.33 X.34 X.35 X.36 X.37
## 1 1975 1976 1977 1978 1979 1980 1981 1982
## 28 3 701 3 771 3 854 3 949 4 051 4 157 4 267 4 380
## 29 257 266 276 287 297 308 318 327
## 30 224 249 277 308 336 359 375 385
## 31 1 505 1 548 1 592 1 637 1 684 1 733 1 785 1 837
## 32 32 567 33 128 33 577 33 993 34 488 35 142 35 985 36 995
## 33 13 576 14 096 14 639 15 205 15 798 16 417 17 064 17 736
## 34 7 556 7 773 7 998 8 230 8 470 8 717 8 971 9 234
## 35 5 385 5 546 5 718 5 897 6 075 6 250 6 412 6 566
## 36 892 907 922 938 953 966 978 989
## X.38 X.39 X.40 X.41 X.42 X.43 X.44 X.45
## 1 1983 1984 1985 1986 1987 1988 1989 1990
## 28 4 498 4 621 4 751 4 887 5 027 5 169 5 307 5 439
## 29 336 345 355 366 377 388 400 412
## 30 394 406 426 454 490 529 564 590
## 31 1 891 1 946 2 004 2 065 2 127 2 186 2 231 2 259
## 32 38 143 39 374 40 652 41 966 43 329 44 757 46 272 47 888
## 33 18 432 19 146 19 877 20 623 21 382 22 154 22 935 23 725
## 34 9 504 9 781 10 063 10 352 10 648 10 952 11 269 11 599
## 35 6 738 6 965 7 268 7 666 8 141 8 637 9 076 9 404
## 36 999 1 008 1 016 1 023 1 030 1 037 1 046 1 056
## X.46 X.47 X.48 X.49 X.50 X.51 X.52 X.53
## 1 1991 1992 1993 1994 1995 1996 1997 1998
## 28 5 565 5 686 5 798 5 899 5 987 6 060 6 122 6 186
## 29 424 436 449 462 475 489 502 515
## 30 607 615 619 622 630 644 661 680
## 31 2 266 2 258 2 239 2 218 2 204 2 196 2 195 2 206
## 32 49 610 51 424 53 296 55 181 57 048 58 884 60 697 62 508
## 33 24 522 25 326 26 136 26 951 27 768 28 589 29 416 30 250
## 34 11 943 12 301 12 675 13 067 13 475 13 903 14 348 14 809
## 35 9 600 9 686 9 710 9 746 9 844 10 023 10 265 10 552
## 36 1 068 1 083 1 099 1 114 1 129 1 142 1 154 1 165
## X.54 X.55 X.56 X.57 X.58 X.59 X.60 X.61
## 1 1999 2000 2001 2002 2003 2004 2005 2006
## 28 6 267 6 379 6 526 6 704 6 909 7 132 7 365 7 608
## 29 529 542 556 569 583 597 612 626
## 30 700 718 733 747 760 772 783 795
## 31 2 237 2 292 2 375 2 481 2 601 2 720 2 827 2 918
## 32 64 343 66 225 68 159 70 142 72 171 74 240 76 346 78 489
## 33 31 099 31 965 32 849 33 752 34 679 35 635 36 625 37 649
## 34 15 283 15 767 16 261 16 765 17 279 17 803 18 337 18 880
## 35 10 854 11 149 11 432 11 714 12 000 12 302 12 626 12 974
## 36 1 176 1 185 1 194 1 202 1 209 1 216 1 222 1 228
## X.62 X.63 X.64 X.65 X.66 X.67 X.68 X.69
## 1 2007 2008 2009 2010 2011 2012 2013 2014
## 28 7 862 8 126 8 398 8 676 8 958 9 246 9 540 9 844
## 29 642 657 673 690 707 724 742 759
## 30 805 816 828 840 854 868 883 899
## 31 2 997 3 063 3 120 3 170 3 214 3 250 3 281 3 311
## 32 80 674 82 916 85 234 87 640 90 140 92 727 95 386 98 094
## 33 38 706 39 792 40 902 42 031 43 178 44 343 45 520 46 700
## 34 19 434 19 996 20 569 21 152 21 744 22 347 22 961 23 590
## 35 13 342 13 728 14 128 14 540 14 962 15 396 15 839 16 290
## 36 1 234 1 239 1 244 1 248 1 251 1 253 1 255 1 257
## X.70 X.71 X.72 X.73 X.74 X.75
## 1 2015 2016 2017 2018 2019 2020
## 28 10 160 10 488 10 827 11 175 11 531 11 891
## 29 777 796 814 832 851 870
## 30 914 929 944 959 974 988
## 31 3 343 3 377 3 413 3 453 3 497 3 546
## 32 100 835 103 603 106 400 109 224 112 079 114 964
## 33 47 878 49 052 50 221 51 393 52 574 53 771
## 34 24 234 24 894 25 571 26 262 26 969 27 691
## 35 16 745 17 205 17 670 18 143 18 629 19 130
## 36 1 259 1 262 1 264 1 267 1 270 1 272mydataset1 <- mydataset %>%
select(X.1,X.55:X.75)
str(mydataset1)## 'data.frame': 236 obs. of 22 variables:
## $ X.1 : chr "Region, subregion, country or area *" "Burundi" "Comoros" "Djibouti" ...
## $ X.55: chr "2000" " 6 379" " 542" " 718" ...
## $ X.56: chr "2001" " 6 526" " 556" " 733" ...
## $ X.57: chr "2002" " 6 704" " 569" " 747" ...
## $ X.58: chr "2003" " 6 909" " 583" " 760" ...
## $ X.59: chr "2004" " 7 132" " 597" " 772" ...
## $ X.60: chr "2005" " 7 365" " 612" " 783" ...
## $ X.61: chr "2006" " 7 608" " 626" " 795" ...
## $ X.62: chr "2007" " 7 862" " 642" " 805" ...
## $ X.63: chr "2008" " 8 126" " 657" " 816" ...
## $ X.64: chr "2009" " 8 398" " 673" " 828" ...
## $ X.65: chr "2010" " 8 676" " 690" " 840" ...
## $ X.66: chr "2011" " 8 958" " 707" " 854" ...
## $ X.67: chr "2012" " 9 246" " 724" " 868" ...
## $ X.68: chr "2013" " 9 540" " 742" " 883" ...
## $ X.69: chr "2014" " 9 844" " 759" " 899" ...
## $ X.70: chr "2015" " 10 160" " 777" " 914" ...
## $ X.71: chr "2016" " 10 488" " 796" " 929" ...
## $ X.72: chr "2017" " 10 827" " 814" " 944" ...
## $ X.73: chr "2018" " 11 175" " 832" " 959" ...
## $ X.74: chr "2019" " 11 531" " 851" " 974" ...
## $ X.75: chr "2020" " 11 891" " 870" " 988" ...head(mydataset1)## X.1 X.55 X.56 X.57
## 1 Region, subregion, country or area * 2000 2001 2002
## 28 Burundi 6 379 6 526 6 704
## 29 Comoros 542 556 569
## 30 Djibouti 718 733 747
## 31 Eritrea 2 292 2 375 2 481
## 32 Ethiopia 66 225 68 159 70 142
## X.58 X.59 X.60 X.61 X.62 X.63 X.64 X.65
## 1 2003 2004 2005 2006 2007 2008 2009 2010
## 28 6 909 7 132 7 365 7 608 7 862 8 126 8 398 8 676
## 29 583 597 612 626 642 657 673 690
## 30 760 772 783 795 805 816 828 840
## 31 2 601 2 720 2 827 2 918 2 997 3 063 3 120 3 170
## 32 72 171 74 240 76 346 78 489 80 674 82 916 85 234 87 640
## X.66 X.67 X.68 X.69 X.70 X.71 X.72
## 1 2011 2012 2013 2014 2015 2016 2017
## 28 8 958 9 246 9 540 9 844 10 160 10 488 10 827
## 29 707 724 742 759 777 796 814
## 30 854 868 883 899 914 929 944
## 31 3 214 3 250 3 281 3 311 3 343 3 377 3 413
## 32 90 140 92 727 95 386 98 094 100 835 103 603 106 400
## X.73 X.74 X.75
## 1 2018 2019 2020
## 28 11 175 11 531 11 891
## 29 832 851 870
## 30 959 974 988
## 31 3 453 3 497 3 546
## 32 109 224 112 079 114 964Show one variable Y2020 only
mydataset1[22]## X.75
## 1 2020
## 28 11 891
## 29 870
## 30 988
## 31 3 546
## 32 114 964
## 33 53 771
## 34 27 691
## 35 19 130
## 36 1 272
## 37 273
## 38 31 255
## 39 895
## 40 12 952
## 41 98
## 42 15 893
## 43 11 194
## 44 45 741
## 45 59 734
## 46 18 384
## 47 14 863
## 49 32 866
## 50 26 546
## 51 4 830
## 52 16 426
## 53 5 518
## 54 89 561
## 55 1 403
## 56 2 226
## 57 219
## 59 2 352
## 60 1 160
## 61 2 142
## 62 2 541
## 63 59 309
## 65 12 123
## 66 20 903
## 67 556
## 68 26 378
## 69 2 417
## 70 31 073
## 71 13 133
## 72 1 968
## 73 5 058
## 74 20 251
## 75 4 650
## 76 24 207
## 77 206 140
## 78 6
## 79 16 744
## 80 7 977
## 81 8 279
## 84 43 851
## 85 102 334
## 86 6 871
## 87 36 911
## 88 43 849
## 89 11 819
## 90 597
## 92 2 963
## 93 10 139
## 94 1 702
## 95 1 207
## 96 3 989
## 97 40 223
## 98 8 656
## 99 10 203
## 100 4 271
## 101 6 825
## 102 5 107
## 103 2 881
## 104 34 814
## 105 5 101
## 106 17 501
## 107 84 339
## 108 9 890
## 109 29 826
## 112 18 777
## 113 6 524
## 114 9 538
## 115 6 031
## 116 33 469
## 118 38 928
## 119 164 689
## 120 772
## 121 1 380 004
## 122 83 993
## 123 541
## 124 29 137
## 125 220 892
## 126 21 413
## 129 1 439 324
## 130 7 497
## 131 649
## 132 23 817
## 133 25 779
## 134 126 476
## 135 3 278
## 136 51 269
## 138 437
## 139 16 719
## 140 273 524
## 141 7 276
## 142 32 366
## 143 54 410
## 144 109 581
## 145 5 850
## 146 69 800
## 147 1 318
## 148 97 339
## 151 15
## 152 98
## 153 107
## 154 393
## 155 287
## 156 26
## 157 30
## 158 66
## 159 11 327
## 160 164
## 161 72
## 162 10 848
## 163 113
## 164 400
## 165 11 403
## 166 2 961
## 167 375
## 168 5
## 169 2 861
## 170 10
## 171 53
## 172 184
## 173 39
## 174 111
## 175 43
## 176 1 399
## 177 39
## 178 104
## 180 398
## 181 5 094
## 182 6 486
## 183 17 916
## 184 9 905
## 185 128 933
## 186 6 625
## 187 4 315
## 189 45 196
## 190 11 673
## 191 212 559
## 192 19 116
## 193 50 883
## 194 17 643
## 195 3
## 196 299
## 197 787
## 198 7 133
## 199 32 972
## 200 587
## 201 3 474
## 202 28 436
## 204 25 500
## 205 4 822
## 208 896
## 209 285
## 210 8 947
## 211 687
## 212 307
## 214 169
## 215 119
## 216 59
## 217 115
## 218 11
## 219 58
## 220 18
## 222 55
## 223 18
## 224 281
## 225 2
## 226 198
## 227 1
## 228 106
## 229 12
## 230 11
## 234 9 449
## 235 6 948
## 236 10 709
## 237 9 660
## 238 37 847
## 239 4 034
## 240 19 238
## 241 145 934
## 242 5 460
## 243 43 734
## 245 174
## 246 5 792
## 247 1 327
## 248 49
## 249 5 541
## 250 341
## 251 4 938
## 252 85
## 253 1 886
## 254 2 722
## 255 5 421
## 256 10 099
## 257 67 886
## 259 2 878
## 260 77
## 261 3 281
## 262 4 105
## 263 34
## 264 10 423
## 265 1
## 266 60 462
## 267 442
## 268 628
## 269 2 083
## 270 10 197
## 271 34
## 272 8 737
## 273 2 079
## 274 46 755
## 276 9 006
## 277 11 590
## 278 65 274
## 279 83 784
## 280 38
## 281 626
## 282 39
## 283 17 135
## 284 8 655
## 286 62
## 287 37 742
## 288 57
## 289 6
## 290 331 003Rename columns and keep only 2000-2020 for reporting and drop the first row to keep only values we need
names(mydataset1)[1] <- "Country"
names(mydataset1)[2] <- "Y2000"
names(mydataset1)[3] <- "Y2001"
names(mydataset1)[4] <- "Y2002"
names(mydataset1)[5] <- "Y2003"
names(mydataset1)[6] <- "Y2004"
names(mydataset1)[7]<- "Y2005"
names(mydataset1)[8] <- "Y2006"
names(mydataset1)[9] <- "Y2007"
names(mydataset1)[10] <- "Y2008"
names(mydataset1)[11] <- "Y2009"
names(mydataset1)[12] <- "Y2010"
names(mydataset1)[13] <- "Y2011"
names(mydataset1)[14] <- "Y2012"
names(mydataset1)[15] <- "Y2013"
names(mydataset1)[16] <- "Y2014"
names(mydataset1)[17] <- "Y2015"
names(mydataset1)[18] <- "Y2016"
names(mydataset1)[19] <- "Y2017"
names(mydataset1)[20] <-"Y2018"
names(mydataset1)[21] <- "Y2019"
names(mydataset1)[22] <- "Y2020"
mydataset2 <- mydataset1 %>% filter(!str_detect(Country, 'Region'))
str(mydataset2)## 'data.frame': 235 obs. of 22 variables:
## $ Country: chr "Burundi" "Comoros" "Djibouti" "Eritrea" ...
## $ Y2000 : chr " 6 379" " 542" " 718" " 2 292" ...
## $ Y2001 : chr " 6 526" " 556" " 733" " 2 375" ...
## $ Y2002 : chr " 6 704" " 569" " 747" " 2 481" ...
## $ Y2003 : chr " 6 909" " 583" " 760" " 2 601" ...
## $ Y2004 : chr " 7 132" " 597" " 772" " 2 720" ...
## $ Y2005 : chr " 7 365" " 612" " 783" " 2 827" ...
## $ Y2006 : chr " 7 608" " 626" " 795" " 2 918" ...
## $ Y2007 : chr " 7 862" " 642" " 805" " 2 997" ...
## $ Y2008 : chr " 8 126" " 657" " 816" " 3 063" ...
## $ Y2009 : chr " 8 398" " 673" " 828" " 3 120" ...
## $ Y2010 : chr " 8 676" " 690" " 840" " 3 170" ...
## $ Y2011 : chr " 8 958" " 707" " 854" " 3 214" ...
## $ Y2012 : chr " 9 246" " 724" " 868" " 3 250" ...
## $ Y2013 : chr " 9 540" " 742" " 883" " 3 281" ...
## $ Y2014 : chr " 9 844" " 759" " 899" " 3 311" ...
## $ Y2015 : chr " 10 160" " 777" " 914" " 3 343" ...
## $ Y2016 : chr " 10 488" " 796" " 929" " 3 377" ...
## $ Y2017 : chr " 10 827" " 814" " 944" " 3 413" ...
## $ Y2018 : chr " 11 175" " 832" " 959" " 3 453" ...
## $ Y2019 : chr " 11 531" " 851" " 974" " 3 497" ...
## $ Y2020 : chr " 11 891" " 870" " 988" " 3 546" ...Run function Check to remove space and convert to numeric
check<-function(x){
return(as.numeric(str_replace_all(x, "\\s+", "")))
}
mydataset2[2:22] <- apply(mydataset2[2:22], MARGIN=2, FUN=check)
str(mydataset2)## 'data.frame': 235 obs. of 22 variables:
## $ Country: chr "Burundi" "Comoros" "Djibouti" "Eritrea" ...
## $ Y2000 : num 6379 542 718 2292 66225 ...
## $ Y2001 : num 6526 556 733 2375 68159 ...
## $ Y2002 : num 6704 569 747 2481 70142 ...
## $ Y2003 : num 6909 583 760 2601 72171 ...
## $ Y2004 : num 7132 597 772 2720 74240 ...
## $ Y2005 : num 7365 612 783 2827 76346 ...
## $ Y2006 : num 7608 626 795 2918 78489 ...
## $ Y2007 : num 7862 642 805 2997 80674 ...
## $ Y2008 : num 8126 657 816 3063 82916 ...
## $ Y2009 : num 8398 673 828 3120 85234 ...
## $ Y2010 : num 8676 690 840 3170 87640 ...
## $ Y2011 : num 8958 707 854 3214 90140 ...
## $ Y2012 : num 9246 724 868 3250 92727 ...
## $ Y2013 : num 9540 742 883 3281 95386 ...
## $ Y2014 : num 9844 759 899 3311 98094 ...
## $ Y2015 : num 10160 777 914 3343 100835 ...
## $ Y2016 : num 10488 796 929 3377 103603 ...
## $ Y2017 : num 10827 814 944 3413 106400 ...
## $ Y2018 : num 11175 832 959 3453 109224 ...
## $ Y2019 : num 11531 851 974 3497 112079 ...
## $ Y2020 : num 11891 870 988 3546 114964 ...Gather and Arrange long dataset
WPmydataset<- mydataset2 %>% gather("Year", "Population", Y2000:Y2020)
WPmydataset %>% arrange(Country,Year,Population) ## Country Year Population
## 1 Afghanistan Y2000 20780
## 2 Afghanistan Y2001 21607
## 3 Afghanistan Y2002 22601
## 4 Afghanistan Y2003 23681
## 5 Afghanistan Y2004 24727
## 6 Afghanistan Y2005 25654
## 7 Afghanistan Y2006 26433
## 8 Afghanistan Y2007 27101
## 9 Afghanistan Y2008 27722
## 10 Afghanistan Y2009 28395
## 11 Afghanistan Y2010 29186
## 12 Afghanistan Y2011 30117
## 13 Afghanistan Y2012 31161
## 14 Afghanistan Y2013 32270
## 15 Afghanistan Y2014 33371
## 16 Afghanistan Y2015 34414
## 17 Afghanistan Y2016 35383
## 18 Afghanistan Y2017 36296
## 19 Afghanistan Y2018 37172
## 20 Afghanistan Y2019 38042
## 21 Afghanistan Y2020 38928
## 22 Albania Y2000 3129
## 23 Albania Y2001 3130
## 24 Albania Y2002 3126
## 25 Albania Y2003 3118
## 26 Albania Y2004 3105
## 27 Albania Y2005 3087
## 28 Albania Y2006 3063
## 29 Albania Y2007 3034
## 30 Albania Y2008 3003
## 31 Albania Y2009 2973
## 32 Albania Y2010 2948
## 33 Albania Y2011 2929
## 34 Albania Y2012 2914
## 35 Albania Y2013 2904
## 36 Albania Y2014 2896
## 37 Albania Y2015 2891
## 38 Albania Y2016 2886
## 39 Albania Y2017 2884
## 40 Albania Y2018 2883
## 41 Albania Y2019 2881
## 42 Albania Y2020 2878
## 43 Algeria Y2000 31042
## 44 Algeria Y2001 31452
## 45 Algeria Y2002 31855
## 46 Algeria Y2003 32264
## 47 Algeria Y2004 32692
## 48 Algeria Y2005 33150
## 49 Algeria Y2006 33641
## 50 Algeria Y2007 34167
## 51 Algeria Y2008 34731
## 52 Algeria Y2009 35334
## 53 Algeria Y2010 35977
## 54 Algeria Y2011 36661
## 55 Algeria Y2012 37384
## 56 Algeria Y2013 38140
## 57 Algeria Y2014 38924
## 58 Algeria Y2015 39728
## 59 Algeria Y2016 40551
## 60 Algeria Y2017 41389
## 61 Algeria Y2018 42228
## 62 Algeria Y2019 43053
## 63 Algeria Y2020 43851
## 64 American Samoa Y2000 58
## 65 American Samoa Y2001 58
## 66 American Samoa Y2002 59
## 67 American Samoa Y2003 59
## 68 American Samoa Y2004 60
## 69 American Samoa Y2005 60
## 70 American Samoa Y2006 59
## 71 American Samoa Y2007 58
## 72 American Samoa Y2008 57
## 73 American Samoa Y2009 57
## 74 American Samoa Y2010 56
## 75 American Samoa Y2011 56
## 76 American Samoa Y2012 56
## 77 American Samoa Y2013 56
## 78 American Samoa Y2014 56
## 79 American Samoa Y2015 56
## 80 American Samoa Y2016 56
## 81 American Samoa Y2017 56
## 82 American Samoa Y2018 55
## 83 American Samoa Y2019 55
## 84 American Samoa Y2020 55
## 85 Andorra Y2000 65
## 86 Andorra Y2001 67
## 87 Andorra Y2002 70
## 88 Andorra Y2003 73
## 89 Andorra Y2004 76
## 90 Andorra Y2005 79
## 91 Andorra Y2006 81
## 92 Andorra Y2007 83
## 93 Andorra Y2008 84
## 94 Andorra Y2009 84
## 95 Andorra Y2010 84
## 96 Andorra Y2011 84
## 97 Andorra Y2012 82
## 98 Andorra Y2013 81
## 99 Andorra Y2014 79
## 100 Andorra Y2015 78
## 101 Andorra Y2016 77
## 102 Andorra Y2017 77
## 103 Andorra Y2018 77
## 104 Andorra Y2019 77
## 105 Andorra Y2020 77
## 106 Angola Y2000 16395
## 107 Angola Y2001 16946
## 108 Angola Y2002 17519
## 109 Angola Y2003 18121
## 110 Angola Y2004 18758
## 111 Angola Y2005 19434
## 112 Angola Y2006 20150
## 113 Angola Y2007 20905
## 114 Angola Y2008 21696
## 115 Angola Y2009 22514
## 116 Angola Y2010 23356
## 117 Angola Y2011 24221
## 118 Angola Y2012 25108
## 119 Angola Y2013 26016
## 120 Angola Y2014 26942
## 121 Angola Y2015 27884
## 122 Angola Y2016 28842
## 123 Angola Y2017 29817
## 124 Angola Y2018 30810
## 125 Angola Y2019 31825
## 126 Angola Y2020 32866
## 127 Anguilla Y2000 11
## 128 Anguilla Y2001 12
## 129 Anguilla Y2002 12
## 130 Anguilla Y2003 12
## 131 Anguilla Y2004 12
## 132 Anguilla Y2005 12
## 133 Anguilla Y2006 13
## 134 Anguilla Y2007 13
## 135 Anguilla Y2008 13
## 136 Anguilla Y2009 13
## 137 Anguilla Y2010 13
## 138 Anguilla Y2011 14
## 139 Anguilla Y2012 14
## 140 Anguilla Y2013 14
## 141 Anguilla Y2014 14
## 142 Anguilla Y2015 14
## 143 Anguilla Y2016 14
## 144 Anguilla Y2017 15
## 145 Anguilla Y2018 15
## 146 Anguilla Y2019 15
## 147 Anguilla Y2020 15
## 148 Antigua and Barbuda Y2000 76
## 149 Antigua and Barbuda Y2001 77
## 150 Antigua and Barbuda Y2002 78
## 151 Antigua and Barbuda Y2003 79
## 152 Antigua and Barbuda Y2004 80
## 153 Antigua and Barbuda Y2005 81
## 154 Antigua and Barbuda Y2006 83
## 155 Antigua and Barbuda Y2007 84
## 156 Antigua and Barbuda Y2008 85
## 157 Antigua and Barbuda Y2009 87
## 158 Antigua and Barbuda Y2010 88
## 159 Antigua and Barbuda Y2011 89
## 160 Antigua and Barbuda Y2012 90
## 161 Antigua and Barbuda Y2013 92
## 162 Antigua and Barbuda Y2014 93
## 163 Antigua and Barbuda Y2015 94
## 164 Antigua and Barbuda Y2016 95
## 165 Antigua and Barbuda Y2017 95
## 166 Antigua and Barbuda Y2018 96
## 167 Antigua and Barbuda Y2019 97
## 168 Antigua and Barbuda Y2020 98
## 169 Argentina Y2000 36871
## 170 Argentina Y2001 37276
## 171 Argentina Y2002 37682
## 172 Argentina Y2003 38088
## 173 Argentina Y2004 38492
## 174 Argentina Y2005 38893
## 175 Argentina Y2006 39290
## 176 Argentina Y2007 39684
## 177 Argentina Y2008 40080
## 178 Argentina Y2009 40483
## 179 Argentina Y2010 40896
## 180 Argentina Y2011 41320
## 181 Argentina Y2012 41755
## 182 Argentina Y2013 42196
## 183 Argentina Y2014 42638
## 184 Argentina Y2015 43075
## 185 Argentina Y2016 43508
## 186 Argentina Y2017 43937
## 187 Argentina Y2018 44361
## 188 Argentina Y2019 44781
## 189 Argentina Y2020 45196
## 190 Armenia Y2000 3070
## 191 Armenia Y2001 3051
## 192 Armenia Y2002 3034
## 193 Armenia Y2003 3018
## 194 Armenia Y2004 3001
## 195 Armenia Y2005 2981
## 196 Armenia Y2006 2958
## 197 Armenia Y2007 2933
## 198 Armenia Y2008 2908
## 199 Armenia Y2009 2888
## 200 Armenia Y2010 2877
## 201 Armenia Y2011 2877
## 202 Armenia Y2012 2884
## 203 Armenia Y2013 2898
## 204 Armenia Y2014 2912
## 205 Armenia Y2015 2926
## 206 Armenia Y2016 2936
## 207 Armenia Y2017 2945
## 208 Armenia Y2018 2952
## 209 Armenia Y2019 2958
## 210 Armenia Y2020 2963
## 211 Aruba Y2000 91
## 212 Aruba Y2001 93
## 213 Aruba Y2002 95
## 214 Aruba Y2003 97
## 215 Aruba Y2004 99
## 216 Aruba Y2005 100
## 217 Aruba Y2006 101
## 218 Aruba Y2007 101
## 219 Aruba Y2008 101
## 220 Aruba Y2009 101
## 221 Aruba Y2010 102
## 222 Aruba Y2011 102
## 223 Aruba Y2012 103
## 224 Aruba Y2013 103
## 225 Aruba Y2014 104
## 226 Aruba Y2015 104
## 227 Aruba Y2016 105
## 228 Aruba Y2017 105
## 229 Aruba Y2018 106
## 230 Aruba Y2019 106
## 231 Aruba Y2020 107
## 232 Australia Y2000 18991
## 233 Australia Y2001 19195
## 234 Australia Y2002 19401
## 235 Australia Y2003 19624
## 236 Australia Y2004 19880
## 237 Australia Y2005 20179
## 238 Australia Y2006 20526
## 239 Australia Y2007 20916
## 240 Australia Y2008 21332
## 241 Australia Y2009 21751
## 242 Australia Y2010 22155
## 243 Australia Y2011 22538
## 244 Australia Y2012 22904
## 245 Australia Y2013 23255
## 246 Australia Y2014 23596
## 247 Australia Y2015 23932
## 248 Australia Y2016 24263
## 249 Australia Y2017 24585
## 250 Australia Y2018 24898
## 251 Australia Y2019 25203
## 252 Australia Y2020 25500
## 253 Austria Y2000 8069
## 254 Austria Y2001 8098
## 255 Austria Y2002 8134
## 256 Austria Y2003 8176
## 257 Austria Y2004 8217
## 258 Austria Y2005 8254
## 259 Austria Y2006 8285
## 260 Austria Y2007 8314
## 261 Austria Y2008 8342
## 262 Austria Y2009 8373
## 263 Austria Y2010 8410
## 264 Austria Y2011 8454
## 265 Austria Y2012 8502
## 266 Austria Y2013 8556
## 267 Austria Y2014 8615
## 268 Austria Y2015 8679
## 269 Austria Y2016 8747
## 270 Austria Y2017 8820
## 271 Austria Y2018 8891
## 272 Austria Y2019 8955
## 273 Austria Y2020 9006
## 274 Azerbaijan Y2000 8123
## 275 Azerbaijan Y2001 8197
## 276 Azerbaijan Y2002 8277
## 277 Azerbaijan Y2003 8361
## 278 Azerbaijan Y2004 8449
## 279 Azerbaijan Y2005 8539
## 280 Azerbaijan Y2006 8630
## 281 Azerbaijan Y2007 8724
## 282 Azerbaijan Y2008 8822
## 283 Azerbaijan Y2009 8924
## 284 Azerbaijan Y2010 9032
## 285 Azerbaijan Y2011 9146
## 286 Azerbaijan Y2012 9265
## 287 Azerbaijan Y2013 9385
## 288 Azerbaijan Y2014 9506
## 289 Azerbaijan Y2015 9623
## 290 Azerbaijan Y2016 9736
## 291 Azerbaijan Y2017 9845
## 292 Azerbaijan Y2018 9950
## 293 Azerbaijan Y2019 10048
## 294 Azerbaijan Y2020 10139
## 295 Bahamas Y2000 298
## 296 Bahamas Y2001 303
## 297 Bahamas Y2002 308
## 298 Bahamas Y2003 313
## 299 Bahamas Y2004 319
## 300 Bahamas Y2005 325
## 301 Bahamas Y2006 331
## 302 Bahamas Y2007 337
## 303 Bahamas Y2008 344
## 304 Bahamas Y2009 350
## 305 Bahamas Y2010 355
## 306 Bahamas Y2011 360
## 307 Bahamas Y2012 364
## 308 Bahamas Y2013 367
## 309 Bahamas Y2014 371
## 310 Bahamas Y2015 374
## 311 Bahamas Y2016 378
## 312 Bahamas Y2017 382
## 313 Bahamas Y2018 386
## 314 Bahamas Y2019 389
## 315 Bahamas Y2020 393
## 316 Bahrain Y2000 665
## 317 Bahrain Y2001 698
## 318 Bahrain Y2002 735
## 319 Bahrain Y2003 779
## 320 Bahrain Y2004 830
## 321 Bahrain Y2005 889
## 322 Bahrain Y2006 958
## 323 Bahrain Y2007 1036
## 324 Bahrain Y2008 1115
## 325 Bahrain Y2009 1185
## 326 Bahrain Y2010 1241
## 327 Bahrain Y2011 1278
## 328 Bahrain Y2012 1300
## 329 Bahrain Y2013 1315
## 330 Bahrain Y2014 1336
## 331 Bahrain Y2015 1372
## 332 Bahrain Y2016 1426
## 333 Bahrain Y2017 1494
## 334 Bahrain Y2018 1569
## 335 Bahrain Y2019 1641
## 336 Bahrain Y2020 1702
## 337 Bangladesh Y2000 127658
## 338 Bangladesh Y2001 130089
## 339 Bangladesh Y2002 132478
## 340 Bangladesh Y2003 134792
## 341 Bangladesh Y2004 136986
## 342 Bangladesh Y2005 139036
## 343 Bangladesh Y2006 140921
## 344 Bangladesh Y2007 142660
## 345 Bangladesh Y2008 144304
## 346 Bangladesh Y2009 145925
## 347 Bangladesh Y2010 147575
## 348 Bangladesh Y2011 149273
## 349 Bangladesh Y2012 151006
## 350 Bangladesh Y2013 152761
## 351 Bangladesh Y2014 154517
## 352 Bangladesh Y2015 156256
## 353 Bangladesh Y2016 157977
## 354 Bangladesh Y2017 159685
## 355 Bangladesh Y2018 161377
## 356 Bangladesh Y2019 163046
## 357 Bangladesh Y2020 164689
## 358 Barbados Y2000 272
## 359 Barbados Y2001 272
## 360 Barbados Y2002 273
## 361 Barbados Y2003 274
## 362 Barbados Y2004 275
## 363 Barbados Y2005 276
## 364 Barbados Y2006 277
## 365 Barbados Y2007 279
## 366 Barbados Y2008 280
## 367 Barbados Y2009 281
## 368 Barbados Y2010 282
## 369 Barbados Y2011 283
## 370 Barbados Y2012 284
## 371 Barbados Y2013 284
## 372 Barbados Y2014 285
## 373 Barbados Y2015 285
## 374 Barbados Y2016 286
## 375 Barbados Y2017 286
## 376 Barbados Y2018 287
## 377 Barbados Y2019 287
## 378 Barbados Y2020 287
## 379 Belarus Y2000 9872
## 380 Belarus Y2001 9811
## 381 Belarus Y2002 9746
## 382 Belarus Y2003 9679
## 383 Belarus Y2004 9617
## 384 Belarus Y2005 9562
## 385 Belarus Y2006 9517
## 386 Belarus Y2007 9481
## 387 Belarus Y2008 9453
## 388 Belarus Y2009 9433
## 389 Belarus Y2010 9421
## 390 Belarus Y2011 9415
## 391 Belarus Y2012 9417
## 392 Belarus Y2013 9424
## 393 Belarus Y2014 9432
## 394 Belarus Y2015 9439
## 395 Belarus Y2016 9446
## 396 Belarus Y2017 9450
## 397 Belarus Y2018 9453
## 398 Belarus Y2019 9452
## 399 Belarus Y2020 9449
## 400 Belgium Y2000 10282
## 401 Belgium Y2001 10319
## 402 Belgium Y2002 10365
## 403 Belgium Y2003 10419
## 404 Belgium Y2004 10480
## 405 Belgium Y2005 10547
## 406 Belgium Y2006 10619
## 407 Belgium Y2007 10698
## 408 Belgium Y2008 10779
## 409 Belgium Y2009 10860
## 410 Belgium Y2010 10939
## 411 Belgium Y2011 11014
## 412 Belgium Y2012 11085
## 413 Belgium Y2013 11154
## 414 Belgium Y2014 11221
## 415 Belgium Y2015 11288
## 416 Belgium Y2016 11354
## 417 Belgium Y2017 11420
## 418 Belgium Y2018 11482
## 419 Belgium Y2019 11539
## 420 Belgium Y2020 11590
## 421 Belize Y2000 247
## 422 Belize Y2001 255
## 423 Belize Y2002 262
## 424 Belize Y2003 269
## 425 Belize Y2004 277
## 426 Belize Y2005 284
## 427 Belize Y2006 291
## 428 Belize Y2007 299
## 429 Belize Y2008 307
## 430 Belize Y2009 315
## 431 Belize Y2010 322
## 432 Belize Y2011 330
## 433 Belize Y2012 338
## 434 Belize Y2013 346
## 435 Belize Y2014 353
## 436 Belize Y2015 361
## 437 Belize Y2016 368
## 438 Belize Y2017 376
## 439 Belize Y2018 383
## 440 Belize Y2019 390
## 441 Belize Y2020 398
## 442 Benin Y2000 6866
## 443 Benin Y2001 7077
## 444 Benin Y2002 7295
## 445 Benin Y2003 7521
## 446 Benin Y2004 7750
## 447 Benin Y2005 7982
## 448 Benin Y2006 8217
## 449 Benin Y2007 8455
## 450 Benin Y2008 8697
## 451 Benin Y2009 8945
## 452 Benin Y2010 9199
## 453 Benin Y2011 9461
## 454 Benin Y2012 9729
## 455 Benin Y2013 10005
## 456 Benin Y2014 10287
## 457 Benin Y2015 10576
## 458 Benin Y2016 10872
## 459 Benin Y2017 11175
## 460 Benin Y2018 11485
## 461 Benin Y2019 11801
## 462 Benin Y2020 12123
## 463 Bermuda Y2000 65
## 464 Bermuda Y2001 65
## 465 Bermuda Y2002 66
## 466 Bermuda Y2003 66
## 467 Bermuda Y2004 66
## 468 Bermuda Y2005 66
## 469 Bermuda Y2006 66
## 470 Bermuda Y2007 66
## 471 Bermuda Y2008 66
## 472 Bermuda Y2009 66
## 473 Bermuda Y2010 65
## 474 Bermuda Y2011 65
## 475 Bermuda Y2012 65
## 476 Bermuda Y2013 64
## 477 Bermuda Y2014 64
## 478 Bermuda Y2015 64
## 479 Bermuda Y2016 63
## 480 Bermuda Y2017 63
## 481 Bermuda Y2018 63
## 482 Bermuda Y2019 63
## 483 Bermuda Y2020 62
## 484 Bhutan Y2000 591
## 485 Bhutan Y2001 604
## 486 Bhutan Y2002 616
## 487 Bhutan Y2003 628
## 488 Bhutan Y2004 639
## 489 Bhutan Y2005 649
## 490 Bhutan Y2006 657
## 491 Bhutan Y2007 665
## 492 Bhutan Y2008 672
## 493 Bhutan Y2009 678
## 494 Bhutan Y2010 686
## 495 Bhutan Y2011 693
## 496 Bhutan Y2012 702
## 497 Bhutan Y2013 710
## 498 Bhutan Y2014 719
## 499 Bhutan Y2015 728
## 500 Bhutan Y2016 737
## 501 Bhutan Y2017 746
## 502 Bhutan Y2018 754
## 503 Bhutan Y2019 763
## 504 Bhutan Y2020 772
## 505 Bolivia (Plurinational State of) Y2000 8418
## 506 Bolivia (Plurinational State of) Y2001 8580
## 507 Bolivia (Plurinational State of) Y2002 8743
## 508 Bolivia (Plurinational State of) Y2003 8906
## 509 Bolivia (Plurinational State of) Y2004 9069
## 510 Bolivia (Plurinational State of) Y2005 9232
## 511 Bolivia (Plurinational State of) Y2006 9395
## 512 Bolivia (Plurinational State of) Y2007 9558
## 513 Bolivia (Plurinational State of) Y2008 9721
## 514 Bolivia (Plurinational State of) Y2009 9885
## 515 Bolivia (Plurinational State of) Y2010 10049
## 516 Bolivia (Plurinational State of) Y2011 10213
## 517 Bolivia (Plurinational State of) Y2012 10378
## 518 Bolivia (Plurinational State of) Y2013 10542
## 519 Bolivia (Plurinational State of) Y2014 10707
## 520 Bolivia (Plurinational State of) Y2015 10870
## 521 Bolivia (Plurinational State of) Y2016 11032
## 522 Bolivia (Plurinational State of) Y2017 11193
## 523 Bolivia (Plurinational State of) Y2018 11353
## 524 Bolivia (Plurinational State of) Y2019 11513
## 525 Bolivia (Plurinational State of) Y2020 11673
## 526 Bonaire, Sint Eustatius and Saba Y2000 14
## 527 Bonaire, Sint Eustatius and Saba Y2001 14
## 528 Bonaire, Sint Eustatius and Saba Y2002 14
## 529 Bonaire, Sint Eustatius and Saba Y2003 14
## 530 Bonaire, Sint Eustatius and Saba Y2004 14
## 531 Bonaire, Sint Eustatius and Saba Y2005 14
## 532 Bonaire, Sint Eustatius and Saba Y2006 15
## 533 Bonaire, Sint Eustatius and Saba Y2007 17
## 534 Bonaire, Sint Eustatius and Saba Y2008 18
## 535 Bonaire, Sint Eustatius and Saba Y2009 20
## 536 Bonaire, Sint Eustatius and Saba Y2010 21
## 537 Bonaire, Sint Eustatius and Saba Y2011 22
## 538 Bonaire, Sint Eustatius and Saba Y2012 23
## 539 Bonaire, Sint Eustatius and Saba Y2013 24
## 540 Bonaire, Sint Eustatius and Saba Y2014 24
## 541 Bonaire, Sint Eustatius and Saba Y2015 25
## 542 Bonaire, Sint Eustatius and Saba Y2016 25
## 543 Bonaire, Sint Eustatius and Saba Y2017 25
## 544 Bonaire, Sint Eustatius and Saba Y2018 26
## 545 Bonaire, Sint Eustatius and Saba Y2019 26
## 546 Bonaire, Sint Eustatius and Saba Y2020 26
## 547 Bosnia and Herzegovina Y2000 3751
## 548 Bosnia and Herzegovina Y2001 3756
## 549 Bosnia and Herzegovina Y2002 3759
## 550 Bosnia and Herzegovina Y2003 3762
## 551 Bosnia and Herzegovina Y2004 3764
## 552 Bosnia and Herzegovina Y2005 3765
## 553 Bosnia and Herzegovina Y2006 3765
## 554 Bosnia and Herzegovina Y2007 3763
## 555 Bosnia and Herzegovina Y2008 3754
## 556 Bosnia and Herzegovina Y2009 3736
## 557 Bosnia and Herzegovina Y2010 3705
## 558 Bosnia and Herzegovina Y2011 3661
## 559 Bosnia and Herzegovina Y2012 3605
## 560 Bosnia and Herzegovina Y2013 3543
## 561 Bosnia and Herzegovina Y2014 3482
## 562 Bosnia and Herzegovina Y2015 3429
## 563 Bosnia and Herzegovina Y2016 3386
## 564 Bosnia and Herzegovina Y2017 3352
## 565 Bosnia and Herzegovina Y2018 3324
## 566 Bosnia and Herzegovina Y2019 3301
## 567 Bosnia and Herzegovina Y2020 3281
## 568 Botswana Y2000 1643
## 569 Botswana Y2001 1675
## 570 Botswana Y2002 1705
## 571 Botswana Y2003 1734
## 572 Botswana Y2004 1766
## 573 Botswana Y2005 1799
## 574 Botswana Y2006 1836
## 575 Botswana Y2007 1875
## 576 Botswana Y2008 1916
## 577 Botswana Y2009 1953
## 578 Botswana Y2010 1987
## 579 Botswana Y2011 2015
## 580 Botswana Y2012 2040
## 581 Botswana Y2013 2063
## 582 Botswana Y2014 2089
## 583 Botswana Y2015 2121
## 584 Botswana Y2016 2160
## 585 Botswana Y2017 2205
## 586 Botswana Y2018 2254
## 587 Botswana Y2019 2304
## 588 Botswana Y2020 2352
## 589 Brazil Y2000 174790
## 590 Brazil Y2001 177196
## 591 Brazil Y2002 179538
## 592 Brazil Y2003 181809
## 593 Brazil Y2004 184006
## 594 Brazil Y2005 186127
## 595 Brazil Y2006 188167
## 596 Brazil Y2007 190130
## 597 Brazil Y2008 192030
## 598 Brazil Y2009 193887
## 599 Brazil Y2010 195714
## 600 Brazil Y2011 197515
## 601 Brazil Y2012 199287
## 602 Brazil Y2013 201036
## 603 Brazil Y2014 202764
## 604 Brazil Y2015 204472
## 605 Brazil Y2016 206163
## 606 Brazil Y2017 207834
## 607 Brazil Y2018 209469
## 608 Brazil Y2019 211050
## 609 Brazil Y2020 212559
## 610 British Virgin Islands Y2000 20
## 611 British Virgin Islands Y2001 21
## 612 British Virgin Islands Y2002 21
## 613 British Virgin Islands Y2003 22
## 614 British Virgin Islands Y2004 22
## 615 British Virgin Islands Y2005 23
## 616 British Virgin Islands Y2006 24
## 617 British Virgin Islands Y2007 25
## 618 British Virgin Islands Y2008 26
## 619 British Virgin Islands Y2009 27
## 620 British Virgin Islands Y2010 28
## 621 British Virgin Islands Y2011 28
## 622 British Virgin Islands Y2012 29
## 623 British Virgin Islands Y2013 29
## 624 British Virgin Islands Y2014 29
## 625 British Virgin Islands Y2015 29
## 626 British Virgin Islands Y2016 29
## 627 British Virgin Islands Y2017 30
## 628 British Virgin Islands Y2018 30
## 629 British Virgin Islands Y2019 30
## 630 British Virgin Islands Y2020 30
## 631 Brunei Darussalam Y2000 333
## 632 Brunei Darussalam Y2001 340
## 633 Brunei Darussalam Y2002 347
## 634 Brunei Darussalam Y2003 353
## 635 Brunei Darussalam Y2004 359
## 636 Brunei Darussalam Y2005 365
## 637 Brunei Darussalam Y2006 370
## 638 Brunei Darussalam Y2007 375
## 639 Brunei Darussalam Y2008 379
## 640 Brunei Darussalam Y2009 384
## 641 Brunei Darussalam Y2010 389
## 642 Brunei Darussalam Y2011 394
## 643 Brunei Darussalam Y2012 399
## 644 Brunei Darussalam Y2013 404
## 645 Brunei Darussalam Y2014 410
## 646 Brunei Darussalam Y2015 415
## 647 Brunei Darussalam Y2016 420
## 648 Brunei Darussalam Y2017 424
## 649 Brunei Darussalam Y2018 429
## 650 Brunei Darussalam Y2019 433
## 651 Brunei Darussalam Y2020 437
## 652 Bulgaria Y2000 7998
## 653 Bulgaria Y2001 7931
## 654 Bulgaria Y2002 7866
## 655 Bulgaria Y2003 7804
## 656 Bulgaria Y2004 7745
## 657 Bulgaria Y2005 7687
## 658 Bulgaria Y2006 7631
## 659 Bulgaria Y2007 7577
## 660 Bulgaria Y2008 7524
## 661 Bulgaria Y2009 7474
## 662 Bulgaria Y2010 7425
## 663 Bulgaria Y2011 7379
## 664 Bulgaria Y2012 7334
## 665 Bulgaria Y2013 7290
## 666 Bulgaria Y2014 7246
## 667 Bulgaria Y2015 7200
## 668 Bulgaria Y2016 7152
## 669 Bulgaria Y2017 7102
## 670 Bulgaria Y2018 7052
## 671 Bulgaria Y2019 7000
## 672 Bulgaria Y2020 6948
## 673 Burkina Faso Y2000 11608
## 674 Burkina Faso Y2001 11945
## 675 Burkina Faso Y2002 12293
## 676 Burkina Faso Y2003 12655
## 677 Burkina Faso Y2004 13031
## 678 Burkina Faso Y2005 13422
## 679 Burkina Faso Y2006 13829
## 680 Burkina Faso Y2007 14252
## 681 Burkina Faso Y2008 14690
## 682 Burkina Faso Y2009 15141
## 683 Burkina Faso Y2010 15605
## 684 Burkina Faso Y2011 16082
## 685 Burkina Faso Y2012 16571
## 686 Burkina Faso Y2013 17073
## 687 Burkina Faso Y2014 17586
## 688 Burkina Faso Y2015 18111
## 689 Burkina Faso Y2016 18646
## 690 Burkina Faso Y2017 19193
## 691 Burkina Faso Y2018 19751
## 692 Burkina Faso Y2019 20321
## 693 Burkina Faso Y2020 20903
## 694 Burundi Y2000 6379
## 695 Burundi Y2001 6526
## 696 Burundi Y2002 6704
## 697 Burundi Y2003 6909
## 698 Burundi Y2004 7132
## 699 Burundi Y2005 7365
## 700 Burundi Y2006 7608
## 701 Burundi Y2007 7862
## 702 Burundi Y2008 8126
## 703 Burundi Y2009 8398
## 704 Burundi Y2010 8676
## 705 Burundi Y2011 8958
## 706 Burundi Y2012 9246
## 707 Burundi Y2013 9540
## 708 Burundi Y2014 9844
## 709 Burundi Y2015 10160
## 710 Burundi Y2016 10488
## 711 Burundi Y2017 10827
## 712 Burundi Y2018 11175
## 713 Burundi Y2019 11531
## 714 Burundi Y2020 11891
## 715 Côte d'Ivoire Y2000 16455
## 716 Côte d'Ivoire Y2001 16853
## 717 Côte d'Ivoire Y2002 17232
## 718 Côte d'Ivoire Y2003 17600
## 719 Côte d'Ivoire Y2004 17970
## 720 Côte d'Ivoire Y2005 18355
## 721 Côte d'Ivoire Y2006 18755
## 722 Côte d'Ivoire Y2007 19171
## 723 Côte d'Ivoire Y2008 19606
## 724 Côte d'Ivoire Y2009 20059
## 725 Côte d'Ivoire Y2010 20533
## 726 Côte d'Ivoire Y2011 21029
## 727 Côte d'Ivoire Y2012 21547
## 728 Côte d'Ivoire Y2013 22088
## 729 Côte d'Ivoire Y2014 22648
## 730 Côte d'Ivoire Y2015 23226
## 731 Côte d'Ivoire Y2016 23823
## 732 Côte d'Ivoire Y2017 24437
## 733 Côte d'Ivoire Y2018 25069
## 734 Côte d'Ivoire Y2019 25717
## 735 Côte d'Ivoire Y2020 26378
## 736 Cabo Verde Y2000 428
## 737 Cabo Verde Y2001 436
## 738 Cabo Verde Y2002 443
## 739 Cabo Verde Y2003 450
## 740 Cabo Verde Y2004 457
## 741 Cabo Verde Y2005 463
## 742 Cabo Verde Y2006 469
## 743 Cabo Verde Y2007 475
## 744 Cabo Verde Y2008 481
## 745 Cabo Verde Y2009 487
## 746 Cabo Verde Y2010 493
## 747 Cabo Verde Y2011 499
## 748 Cabo Verde Y2012 505
## 749 Cabo Verde Y2013 512
## 750 Cabo Verde Y2014 518
## 751 Cabo Verde Y2015 525
## 752 Cabo Verde Y2016 531
## 753 Cabo Verde Y2017 537
## 754 Cabo Verde Y2018 544
## 755 Cabo Verde Y2019 550
## 756 Cabo Verde Y2020 556
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## 758 Cambodia Y2001 12405
## 759 Cambodia Y2002 12638
## 760 Cambodia Y2003 12856
## 761 Cambodia Y2004 13066
## 762 Cambodia Y2005 13273
## 763 Cambodia Y2006 13478
## 764 Cambodia Y2007 13680
## 765 Cambodia Y2008 13884
## 766 Cambodia Y2009 14094
## 767 Cambodia Y2010 14312
## 768 Cambodia Y2011 14541
## 769 Cambodia Y2012 14780
## 770 Cambodia Y2013 15026
## 771 Cambodia Y2014 15275
## 772 Cambodia Y2015 15521
## 773 Cambodia Y2016 15766
## 774 Cambodia Y2017 16009
## 775 Cambodia Y2018 16250
## 776 Cambodia Y2019 16487
## 777 Cambodia Y2020 16719
## 778 Cameroon Y2000 15514
## 779 Cameroon Y2001 15929
## 780 Cameroon Y2002 16358
## 781 Cameroon Y2003 16801
## 782 Cameroon Y2004 17259
## 783 Cameroon Y2005 17733
## 784 Cameroon Y2006 18224
## 785 Cameroon Y2007 18730
## 786 Cameroon Y2008 19253
## 787 Cameroon Y2009 19790
## 788 Cameroon Y2010 20341
## 789 Cameroon Y2011 20906
## 790 Cameroon Y2012 21485
## 791 Cameroon Y2013 22077
## 792 Cameroon Y2014 22682
## 793 Cameroon Y2015 23298
## 794 Cameroon Y2016 23927
## 795 Cameroon Y2017 24566
## 796 Cameroon Y2018 25216
## 797 Cameroon Y2019 25876
## 798 Cameroon Y2020 26546
## 799 Canada Y2000 30588
## 800 Canada Y2001 30880
## 801 Canada Y2002 31178
## 802 Canada Y2003 31488
## 803 Canada Y2004 31815
## 804 Canada Y2005 32164
## 805 Canada Y2006 32537
## 806 Canada Y2007 32931
## 807 Canada Y2008 33338
## 808 Canada Y2009 33746
## 809 Canada Y2010 34148
## 810 Canada Y2011 34539
## 811 Canada Y2012 34922
## 812 Canada Y2013 35297
## 813 Canada Y2014 35664
## 814 Canada Y2015 36027
## 815 Canada Y2016 36383
## 816 Canada Y2017 36732
## 817 Canada Y2018 37075
## 818 Canada Y2019 37411
## 819 Canada Y2020 37742
## 820 Cayman Islands Y2000 42
## 821 Cayman Islands Y2001 44
## 822 Cayman Islands Y2002 45
## 823 Cayman Islands Y2003 47
## 824 Cayman Islands Y2004 48
## 825 Cayman Islands Y2005 49
## 826 Cayman Islands Y2006 51
## 827 Cayman Islands Y2007 52
## 828 Cayman Islands Y2008 54
## 829 Cayman Islands Y2009 55
## 830 Cayman Islands Y2010 57
## 831 Cayman Islands Y2011 58
## 832 Cayman Islands Y2012 59
## 833 Cayman Islands Y2013 60
## 834 Cayman Islands Y2014 61
## 835 Cayman Islands Y2015 62
## 836 Cayman Islands Y2016 63
## 837 Cayman Islands Y2017 63
## 838 Cayman Islands Y2018 64
## 839 Cayman Islands Y2019 65
## 840 Cayman Islands Y2020 66
## 841 Central African Republic Y2000 3640
## 842 Central African Republic Y2001 3722
## 843 Central African Republic Y2002 3802
## 844 Central African Republic Y2003 3881
## 845 Central African Republic Y2004 3960
## 846 Central African Republic Y2005 4038
## 847 Central African Republic Y2006 4118
## 848 Central African Republic Y2007 4198
## 849 Central African Republic Y2008 4273
## 850 Central African Republic Y2009 4338
## 851 Central African Republic Y2010 4387
## 852 Central African Republic Y2011 4419
## 853 Central African Republic Y2012 4436
## 854 Central African Republic Y2013 4448
## 855 Central African Republic Y2014 4464
## 856 Central African Republic Y2015 4493
## 857 Central African Republic Y2016 4538
## 858 Central African Republic Y2017 4596
## 859 Central African Republic Y2018 4666
## 860 Central African Republic Y2019 4745
## 861 Central African Republic Y2020 4830
## 862 Chad Y2000 8356
## 863 Chad Y2001 8678
## 864 Chad Y2002 9019
## 865 Chad Y2003 9374
## 866 Chad Y2004 9735
## 867 Chad Y2005 10097
## 868 Chad Y2006 10457
## 869 Chad Y2007 10818
## 870 Chad Y2008 11184
## 871 Chad Y2009 11560
## 872 Chad Y2010 11952
## 873 Chad Y2011 12361
## 874 Chad Y2012 12785
## 875 Chad Y2013 13220
## 876 Chad Y2014 13664
## 877 Chad Y2015 14111
## 878 Chad Y2016 14562
## 879 Chad Y2017 15017
## 880 Chad Y2018 15478
## 881 Chad Y2019 15947
## 882 Chad Y2020 16426
## 883 Channel Islands Y2000 148
## 884 Channel Islands Y2001 149
## 885 Channel Islands Y2002 150
## 886 Channel Islands Y2003 150
## 887 Channel Islands Y2004 151
## 888 Channel Islands Y2005 152
## 889 Channel Islands Y2006 153
## 890 Channel Islands Y2007 155
## 891 Channel Islands Y2008 156
## 892 Channel Islands Y2009 158
## 893 Channel Islands Y2010 160
## 894 Channel Islands Y2011 161
## 895 Channel Islands Y2012 162
## 896 Channel Islands Y2013 163
## 897 Channel Islands Y2014 164
## 898 Channel Islands Y2015 165
## 899 Channel Islands Y2016 167
## 900 Channel Islands Y2017 169
## 901 Channel Islands Y2018 170
## 902 Channel Islands Y2019 172
## 903 Channel Islands Y2020 174
## 904 Chile Y2000 15342
## 905 Chile Y2001 15516
## 906 Chile Y2002 15684
## 907 Chile Y2003 15850
## 908 Chile Y2004 16015
## 909 Chile Y2005 16183
## 910 Chile Y2006 16355
## 911 Chile Y2007 16530
## 912 Chile Y2008 16708
## 913 Chile Y2009 16886
## 914 Chile Y2010 17063
## 915 Chile Y2011 17234
## 916 Chile Y2012 17400
## 917 Chile Y2013 17572
## 918 Chile Y2014 17759
## 919 Chile Y2015 17969
## 920 Chile Y2016 18209
## 921 Chile Y2017 18470
## 922 Chile Y2018 18729
## 923 Chile Y2019 18952
## 924 Chile Y2020 19116
## 925 China Y2000 1290551
## 926 China Y2001 1299130
## 927 China Y2002 1307352
## 928 China Y2003 1315304
## 929 China Y2004 1323085
## 930 China Y2005 1330776
## 931 China Y2006 1338409
## 932 China Y2007 1345994
## 933 China Y2008 1353569
## 934 China Y2009 1361169
## 935 China Y2010 1368811
## 936 China Y2011 1376498
## 937 China Y2012 1384206
## 938 China Y2013 1391883
## 939 China Y2014 1399454
## 940 China Y2015 1406848
## 941 China Y2016 1414049
## 942 China Y2017 1421022
## 943 China Y2018 1427648
## 944 China Y2019 1433784
## 945 China Y2020 1439324
## 946 China, Hong Kong SAR Y2000 6606
## 947 China, Hong Kong SAR Y2001 6665
## 948 China, Hong Kong SAR Y2002 6702
## 949 China, Hong Kong SAR Y2003 6725
## 950 China, Hong Kong SAR Y2004 6745
## 951 China, Hong Kong SAR Y2005 6770
## 952 China, Hong Kong SAR Y2006 6802
## 953 China, Hong Kong SAR Y2007 6840
## 954 China, Hong Kong SAR Y2008 6882
## 955 China, Hong Kong SAR Y2009 6925
## 956 China, Hong Kong SAR Y2010 6966
## 957 China, Hong Kong SAR Y2011 7007
## 958 China, Hong Kong SAR Y2012 7047
## 959 China, Hong Kong SAR Y2013 7089
## 960 China, Hong Kong SAR Y2014 7135
## 961 China, Hong Kong SAR Y2015 7186
## 962 China, Hong Kong SAR Y2016 7244
## 963 China, Hong Kong SAR Y2017 7306
## 964 China, Hong Kong SAR Y2018 7372
## 965 China, Hong Kong SAR Y2019 7436
## 966 China, Hong Kong SAR Y2020 7497
## 967 China, Macao SAR Y2000 428
## 968 China, Macao SAR Y2001 438
## 969 China, Macao SAR Y2002 449
## 970 China, Macao SAR Y2003 460
## 971 China, Macao SAR Y2004 472
## 972 China, Macao SAR Y2005 483
## 973 China, Macao SAR Y2006 494
## 974 China, Macao SAR Y2007 505
## 975 China, Macao SAR Y2008 515
## 976 China, Macao SAR Y2009 526
## 977 China, Macao SAR Y2010 538
## 978 China, Macao SAR Y2011 551
## 979 China, Macao SAR Y2012 564
## 980 China, Macao SAR Y2013 577
## 981 China, Macao SAR Y2014 590
## 982 China, Macao SAR Y2015 602
## 983 China, Macao SAR Y2016 613
## 984 China, Macao SAR Y2017 623
## 985 China, Macao SAR Y2018 632
## 986 China, Macao SAR Y2019 640
## 987 China, Macao SAR Y2020 649
## 988 China, Taiwan Province of China Y2000 21967
## 989 China, Taiwan Province of China Y2001 22109
## 990 China, Taiwan Province of China Y2002 22262
## 991 China, Taiwan Province of China Y2003 22420
## 992 China, Taiwan Province of China Y2004 22570
## 993 China, Taiwan Province of China Y2005 22706
## 994 China, Taiwan Province of China Y2006 22824
## 995 China, Taiwan Province of China Y2007 22927
## 996 China, Taiwan Province of China Y2008 23019
## 997 China, Taiwan Province of China Y2009 23105
## 998 China, Taiwan Province of China Y2010 23188
## 999 China, Taiwan Province of China Y2011 23269
## 1000 China, Taiwan Province of China Y2012 23347
## 1001 China, Taiwan Province of China Y2013 23422
## 1002 China, Taiwan Province of China Y2014 23492
## 1003 China, Taiwan Province of China Y2015 23557
## 1004 China, Taiwan Province of China Y2016 23618
## 1005 China, Taiwan Province of China Y2017 23675
## 1006 China, Taiwan Province of China Y2018 23726
## 1007 China, Taiwan Province of China Y2019 23774
## 1008 China, Taiwan Province of China Y2020 23817
## 1009 Colombia Y2000 39630
## 1010 Colombia Y2001 40256
## 1011 Colombia Y2002 40875
## 1012 Colombia Y2003 41484
## 1013 Colombia Y2004 42076
## 1014 Colombia Y2005 42648
## 1015 Colombia Y2006 43201
## 1016 Colombia Y2007 43738
## 1017 Colombia Y2008 44255
## 1018 Colombia Y2009 44750
## 1019 Colombia Y2010 45223
## 1020 Colombia Y2011 45663
## 1021 Colombia Y2012 46076
## 1022 Colombia Y2013 46495
## 1023 Colombia Y2014 46968
## 1024 Colombia Y2015 47521
## 1025 Colombia Y2016 48175
## 1026 Colombia Y2017 48910
## 1027 Colombia Y2018 49661
## 1028 Colombia Y2019 50339
## 1029 Colombia Y2020 50883
## 1030 Comoros Y2000 542
## 1031 Comoros Y2001 556
## 1032 Comoros Y2002 569
## 1033 Comoros Y2003 583
## 1034 Comoros Y2004 597
## 1035 Comoros Y2005 612
## 1036 Comoros Y2006 626
## 1037 Comoros Y2007 642
## 1038 Comoros Y2008 657
## 1039 Comoros Y2009 673
## 1040 Comoros Y2010 690
## 1041 Comoros Y2011 707
## 1042 Comoros Y2012 724
## 1043 Comoros Y2013 742
## 1044 Comoros Y2014 759
## 1045 Comoros Y2015 777
## 1046 Comoros Y2016 796
## 1047 Comoros Y2017 814
## 1048 Comoros Y2018 832
## 1049 Comoros Y2019 851
## 1050 Comoros Y2020 870
## 1051 Congo Y2000 3127
## 1052 Congo Y2001 3218
## 1053 Congo Y2002 3310
## 1054 Congo Y2003 3407
## 1055 Congo Y2004 3510
## 1056 Congo Y2005 3623
## 1057 Congo Y2006 3745
## 1058 Congo Y2007 3876
## 1059 Congo Y2008 4011
## 1060 Congo Y2009 4145
## 1061 Congo Y2010 4274
## 1062 Congo Y2011 4395
## 1063 Congo Y2012 4510
## 1064 Congo Y2013 4623
## 1065 Congo Y2014 4737
## 1066 Congo Y2015 4856
## 1067 Congo Y2016 4981
## 1068 Congo Y2017 5111
## 1069 Congo Y2018 5244
## 1070 Congo Y2019 5381
## 1071 Congo Y2020 5518
## 1072 Cook Islands Y2000 18
## 1073 Cook Islands Y2001 18
## 1074 Cook Islands Y2002 18
## 1075 Cook Islands Y2003 19
## 1076 Cook Islands Y2004 19
## 1077 Cook Islands Y2005 19
## 1078 Cook Islands Y2006 19
## 1079 Cook Islands Y2007 19
## 1080 Cook Islands Y2008 19
## 1081 Cook Islands Y2009 19
## 1082 Cook Islands Y2010 18
## 1083 Cook Islands Y2011 18
## 1084 Cook Islands Y2012 18
## 1085 Cook Islands Y2013 18
## 1086 Cook Islands Y2014 18
## 1087 Cook Islands Y2015 18
## 1088 Cook Islands Y2016 18
## 1089 Cook Islands Y2017 18
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## 1129 Croatia Y2015 4233
## 1130 Croatia Y2016 4209
## 1131 Croatia Y2017 4183
## 1132 Croatia Y2018 4156
## 1133 Croatia Y2019 4130
## 1134 Croatia Y2020 4105
## 1135 Cuba Y2000 11126
## 1136 Cuba Y2001 11165
## 1137 Cuba Y2002 11200
## 1138 Cuba Y2003 11229
## 1139 Cuba Y2004 11250
## 1140 Cuba Y2005 11262
## 1141 Cuba Y2006 11261
## 1142 Cuba Y2007 11251
## 1143 Cuba Y2008 11237
## 1144 Cuba Y2009 11227
## 1145 Cuba Y2010 11226
## 1146 Cuba Y2011 11237
## 1147 Cuba Y2012 11257
## 1148 Cuba Y2013 11283
## 1149 Cuba Y2014 11307
## 1150 Cuba Y2015 11325
## 1151 Cuba Y2016 11335
## 1152 Cuba Y2017 11339
## 1153 Cuba Y2018 11338
## 1154 Cuba Y2019 11333
## 1155 Cuba Y2020 11327
## 1156 Curaçao Y2000 132
## 1157 Curaçao Y2001 130
## 1158 Curaçao Y2002 129
## 1159 Curaçao Y2003 128
## 1160 Curaçao Y2004 129
## 1161 Curaçao Y2005 130
## 1162 Curaçao Y2006 133
## 1163 Curaçao Y2007 137
## 1164 Curaçao Y2008 141
## 1165 Curaçao Y2009 145
## 1166 Curaçao Y2010 149
## 1167 Curaçao Y2011 152
## 1168 Curaçao Y2012 155
## 1169 Curaçao Y2013 157
## 1170 Curaçao Y2014 158
## 1171 Curaçao Y2015 160
## 1172 Curaçao Y2016 161
## 1173 Curaçao Y2017 162
## 1174 Curaçao Y2018 163
## 1175 Curaçao Y2019 163
## 1176 Curaçao Y2020 164
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## 1186 Cyprus Y2009 1098
## 1187 Cyprus Y2010 1113
## 1188 Cyprus Y2011 1125
## 1189 Cyprus Y2012 1135
## 1190 Cyprus Y2013 1144
## 1191 Cyprus Y2014 1152
## 1192 Cyprus Y2015 1161
## 1193 Cyprus Y2016 1170
## 1194 Cyprus Y2017 1180
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## 1240 Democratic Republic of the Congo Y2000 47106
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## 1260 Democratic Republic of the Congo Y2020 89561
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## 1262 Denmark Y2001 5358
## 1263 Denmark Y2002 5373
## 1264 Denmark Y2003 5387
## 1265 Denmark Y2004 5403
## 1266 Denmark Y2005 5422
## 1267 Denmark Y2006 5444
## 1268 Denmark Y2007 5470
## 1269 Denmark Y2008 5498
## 1270 Denmark Y2009 5526
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## 1273 Denmark Y2012 5611
## 1274 Denmark Y2013 5638
## 1275 Denmark Y2014 5664
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## 1282 Djibouti Y2000 718
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## 3672 Rwanda Y2017 11981
## 3673 Rwanda Y2018 12302
## 3674 Rwanda Y2019 12627
## 3675 Rwanda Y2020 12952
## 3676 Saint Barthélemy Y2000 7
## 3677 Saint Barthélemy Y2001 8
## 3678 Saint Barthélemy Y2002 8
## 3679 Saint Barthélemy Y2003 8
## 3680 Saint Barthélemy Y2004 8
## 3681 Saint Barthélemy Y2005 9
## 3682 Saint Barthélemy Y2006 9
## 3683 Saint Barthélemy Y2007 9
## 3684 Saint Barthélemy Y2008 9
## 3685 Saint Barthélemy Y2009 9
## 3686 Saint Barthélemy Y2010 9
## 3687 Saint Barthélemy Y2011 9
## 3688 Saint Barthélemy Y2012 9
## 3689 Saint Barthélemy Y2013 10
## 3690 Saint Barthélemy Y2014 10
## 3691 Saint Barthélemy Y2015 10
## 3692 Saint Barthélemy Y2016 10
## 3693 Saint Barthélemy Y2017 10
## 3694 Saint Barthélemy Y2018 10
## 3695 Saint Barthélemy Y2019 10
## 3696 Saint Barthélemy Y2020 10
## 3697 Saint Helena Y2000 6
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## 3699 Saint Helena Y2002 6
## 3700 Saint Helena Y2003 6
## 3701 Saint Helena Y2004 5
## 3702 Saint Helena Y2005 5
## 3703 Saint Helena Y2006 5
## 3704 Saint Helena Y2007 5
## 3705 Saint Helena Y2008 5
## 3706 Saint Helena Y2009 5
## 3707 Saint Helena Y2010 5
## 3708 Saint Helena Y2011 5
## 3709 Saint Helena Y2012 5
## 3710 Saint Helena Y2013 6
## 3711 Saint Helena Y2014 6
## 3712 Saint Helena Y2015 6
## 3713 Saint Helena Y2016 6
## 3714 Saint Helena Y2017 6
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## 3727 Saint Kitts and Nevis Y2009 49
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## 3744 Saint Lucia Y2005 163
## 3745 Saint Lucia Y2006 165
## 3746 Saint Lucia Y2007 168
## 3747 Saint Lucia Y2008 170
## 3748 Saint Lucia Y2009 172
## 3749 Saint Lucia Y2010 174
## 3750 Saint Lucia Y2011 176
## 3751 Saint Lucia Y2012 177
## 3752 Saint Lucia Y2013 178
## 3753 Saint Lucia Y2014 178
## 3754 Saint Lucia Y2015 179
## 3755 Saint Lucia Y2016 180
## 3756 Saint Lucia Y2017 181
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## 3758 Saint Lucia Y2019 183
## 3759 Saint Lucia Y2020 184
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## 3766 Saint Martin (French part) Y2006 35
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## 3768 Saint Martin (French part) Y2008 37
## 3769 Saint Martin (French part) Y2009 37
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## 3774 Saint Martin (French part) Y2014 36
## 3775 Saint Martin (French part) Y2015 36
## 3776 Saint Martin (French part) Y2016 36
## 3777 Saint Martin (French part) Y2017 37
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## 3784 Saint Pierre and Miquelon Y2003 6
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## 3830 Samoa Y2007 182
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## 3835 Samoa Y2012 189
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## 3837 Samoa Y2014 192
## 3838 Samoa Y2015 194
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## 3845 San Marino Y2001 28
## 3846 San Marino Y2002 28
## 3847 San Marino Y2003 29
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## 3857 San Marino Y2013 33
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## 3860 San Marino Y2016 34
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## 3866 Sao Tome and Principe Y2001 145
## 3867 Sao Tome and Principe Y2002 147
## 3868 Sao Tome and Principe Y2003 150
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## 3879 Sao Tome and Principe Y2014 196
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## 4375 Timor-Leste Y2006 1016
## 4376 Timor-Leste Y2007 1036
## 4377 Timor-Leste Y2008 1055
## 4378 Timor-Leste Y2009 1074
## 4379 Timor-Leste Y2010 1094
## 4380 Timor-Leste Y2011 1113
## 4381 Timor-Leste Y2012 1133
## 4382 Timor-Leste Y2013 1153
## 4383 Timor-Leste Y2014 1174
## 4384 Timor-Leste Y2015 1196
## 4385 Timor-Leste Y2016 1219
## 4386 Timor-Leste Y2017 1243
## 4387 Timor-Leste Y2018 1268
## 4388 Timor-Leste Y2019 1293
## 4389 Timor-Leste Y2020 1318
## 4390 Togo Y2000 4924
## 4391 Togo Y2001 5063
## 4392 Togo Y2002 5197
## 4393 Togo Y2003 5331
## 4394 Togo Y2004 5468
## 4395 Togo Y2005 5612
## 4396 Togo Y2006 5763
## 4397 Togo Y2007 5920
## 4398 Togo Y2008 6083
## 4399 Togo Y2009 6251
## 4400 Togo Y2010 6422
## 4401 Togo Y2011 6596
## 4402 Togo Y2012 6774
## 4403 Togo Y2013 6955
## 4404 Togo Y2014 7138
## 4405 Togo Y2015 7323
## 4406 Togo Y2016 7510
## 4407 Togo Y2017 7698
## 4408 Togo Y2018 7889
## 4409 Togo Y2019 8082
## 4410 Togo Y2020 8279
## 4411 Tokelau Y2000 2
## 4412 Tokelau Y2001 2
## 4413 Tokelau Y2002 1
## 4414 Tokelau Y2003 1
## 4415 Tokelau Y2004 1
## 4416 Tokelau Y2005 1
## 4417 Tokelau Y2006 1
## 4418 Tokelau Y2007 1
## 4419 Tokelau Y2008 1
## 4420 Tokelau Y2009 1
## 4421 Tokelau Y2010 1
## 4422 Tokelau Y2011 1
## 4423 Tokelau Y2012 1
## 4424 Tokelau Y2013 1
## 4425 Tokelau Y2014 1
## 4426 Tokelau Y2015 1
## 4427 Tokelau Y2016 1
## 4428 Tokelau Y2017 1
## 4429 Tokelau Y2018 1
## 4430 Tokelau Y2019 1
## 4431 Tokelau Y2020 1
## 4432 Tonga Y2000 98
## 4433 Tonga Y2001 98
## 4434 Tonga Y2002 99
## 4435 Tonga Y2003 100
## 4436 Tonga Y2004 100
## 4437 Tonga Y2005 101
## 4438 Tonga Y2006 102
## 4439 Tonga Y2007 103
## 4440 Tonga Y2008 103
## 4441 Tonga Y2009 104
## 4442 Tonga Y2010 104
## 4443 Tonga Y2011 104
## 4444 Tonga Y2012 103
## 4445 Tonga Y2013 102
## 4446 Tonga Y2014 101
## 4447 Tonga Y2015 101
## 4448 Tonga Y2016 101
## 4449 Tonga Y2017 102
## 4450 Tonga Y2018 103
## 4451 Tonga Y2019 104
## 4452 Tonga Y2020 106
## 4453 Trinidad and Tobago Y2000 1267
## 4454 Trinidad and Tobago Y2001 1272
## 4455 Trinidad and Tobago Y2002 1277
## 4456 Trinidad and Tobago Y2003 1284
## 4457 Trinidad and Tobago Y2004 1290
## 4458 Trinidad and Tobago Y2005 1296
## 4459 Trinidad and Tobago Y2006 1303
## 4460 Trinidad and Tobago Y2007 1308
## 4461 Trinidad and Tobago Y2008 1314
## 4462 Trinidad and Tobago Y2009 1321
## 4463 Trinidad and Tobago Y2010 1328
## 4464 Trinidad and Tobago Y2011 1336
## 4465 Trinidad and Tobago Y2012 1345
## 4466 Trinidad and Tobago Y2013 1354
## 4467 Trinidad and Tobago Y2014 1362
## 4468 Trinidad and Tobago Y2015 1370
## 4469 Trinidad and Tobago Y2016 1378
## 4470 Trinidad and Tobago Y2017 1384
## 4471 Trinidad and Tobago Y2018 1390
## 4472 Trinidad and Tobago Y2019 1395
## 4473 Trinidad and Tobago Y2020 1399
## 4474 Tunisia Y2000 9708
## 4475 Tunisia Y2001 9794
## 4476 Tunisia Y2002 9871
## 4477 Tunisia Y2003 9945
## 4478 Tunisia Y2004 10022
## 4479 Tunisia Y2005 10107
## 4480 Tunisia Y2006 10201
## 4481 Tunisia Y2007 10305
## 4482 Tunisia Y2008 10414
## 4483 Tunisia Y2009 10526
## 4484 Tunisia Y2010 10635
## 4485 Tunisia Y2011 10742
## 4486 Tunisia Y2012 10847
## 4487 Tunisia Y2013 10953
## 4488 Tunisia Y2014 11063
## 4489 Tunisia Y2015 11180
## 4490 Tunisia Y2016 11304
## 4491 Tunisia Y2017 11433
## 4492 Tunisia Y2018 11565
## 4493 Tunisia Y2019 11695
## 4494 Tunisia Y2020 11819
## 4495 Turkey Y2000 63240
## 4496 Turkey Y2001 64192
## 4497 Turkey Y2002 65145
## 4498 Turkey Y2003 66089
## 4499 Turkey Y2004 67011
## 4500 Turkey Y2005 67903
## 4501 Turkey Y2006 68757
## 4502 Turkey Y2007 69582
## 4503 Turkey Y2008 70419
## 4504 Turkey Y2009 71321
## 4505 Turkey Y2010 72327
## 4506 Turkey Y2011 73443
## 4507 Turkey Y2012 74651
## 4508 Turkey Y2013 75925
## 4509 Turkey Y2014 77229
## 4510 Turkey Y2015 78529
## 4511 Turkey Y2016 79828
## 4512 Turkey Y2017 81116
## 4513 Turkey Y2018 82340
## 4514 Turkey Y2019 83430
## 4515 Turkey Y2020 84339
## 4516 Turkmenistan Y2000 4516
## 4517 Turkmenistan Y2001 4564
## 4518 Turkmenistan Y2002 4610
## 4519 Turkmenistan Y2003 4656
## 4520 Turkmenistan Y2004 4703
## 4521 Turkmenistan Y2005 4755
## 4522 Turkmenistan Y2006 4810
## 4523 Turkmenistan Y2007 4870
## 4524 Turkmenistan Y2008 4936
## 4525 Turkmenistan Y2009 5008
## 4526 Turkmenistan Y2010 5087
## 4527 Turkmenistan Y2011 5174
## 4528 Turkmenistan Y2012 5268
## 4529 Turkmenistan Y2013 5366
## 4530 Turkmenistan Y2014 5466
## 4531 Turkmenistan Y2015 5565
## 4532 Turkmenistan Y2016 5662
## 4533 Turkmenistan Y2017 5758
## 4534 Turkmenistan Y2018 5851
## 4535 Turkmenistan Y2019 5942
## 4536 Turkmenistan Y2020 6031
## 4537 Turks and Caicos Islands Y2000 20
## 4538 Turks and Caicos Islands Y2001 22
## 4539 Turks and Caicos Islands Y2002 23
## 4540 Turks and Caicos Islands Y2003 25
## 4541 Turks and Caicos Islands Y2004 27
## 4542 Turks and Caicos Islands Y2005 28
## 4543 Turks and Caicos Islands Y2006 29
## 4544 Turks and Caicos Islands Y2007 30
## 4545 Turks and Caicos Islands Y2008 31
## 4546 Turks and Caicos Islands Y2009 32
## 4547 Turks and Caicos Islands Y2010 33
## 4548 Turks and Caicos Islands Y2011 33
## 4549 Turks and Caicos Islands Y2012 34
## 4550 Turks and Caicos Islands Y2013 35
## 4551 Turks and Caicos Islands Y2014 35
## 4552 Turks and Caicos Islands Y2015 36
## 4553 Turks and Caicos Islands Y2016 37
## 4554 Turks and Caicos Islands Y2017 37
## 4555 Turks and Caicos Islands Y2018 38
## 4556 Turks and Caicos Islands Y2019 38
## 4557 Turks and Caicos Islands Y2020 39
## 4558 Tuvalu Y2000 9
## 4559 Tuvalu Y2001 9
## 4560 Tuvalu Y2002 10
## 4561 Tuvalu Y2003 10
## 4562 Tuvalu Y2004 10
## 4563 Tuvalu Y2005 10
## 4564 Tuvalu Y2006 10
## 4565 Tuvalu Y2007 10
## 4566 Tuvalu Y2008 10
## 4567 Tuvalu Y2009 10
## 4568 Tuvalu Y2010 11
## 4569 Tuvalu Y2011 11
## 4570 Tuvalu Y2012 11
## 4571 Tuvalu Y2013 11
## 4572 Tuvalu Y2014 11
## 4573 Tuvalu Y2015 11
## 4574 Tuvalu Y2016 11
## 4575 Tuvalu Y2017 11
## 4576 Tuvalu Y2018 12
## 4577 Tuvalu Y2019 12
## 4578 Tuvalu Y2020 12
## 4579 Uganda Y2000 23650
## 4580 Uganda Y2001 24389
## 4581 Uganda Y2002 25167
## 4582 Uganda Y2003 25981
## 4583 Uganda Y2004 26821
## 4584 Uganda Y2005 27685
## 4585 Uganda Y2006 28571
## 4586 Uganda Y2007 29486
## 4587 Uganda Y2008 30432
## 4588 Uganda Y2009 31411
## 4589 Uganda Y2010 32428
## 4590 Uganda Y2011 33477
## 4591 Uganda Y2012 34559
## 4592 Uganda Y2013 35695
## 4593 Uganda Y2014 36912
## 4594 Uganda Y2015 38225
## 4595 Uganda Y2016 39649
## 4596 Uganda Y2017 41167
## 4597 Uganda Y2018 42729
## 4598 Uganda Y2019 44270
## 4599 Uganda Y2020 45741
## 4600 Ukraine Y2000 48838
## 4601 Ukraine Y2001 48402
## 4602 Ukraine Y2002 47980
## 4603 Ukraine Y2003 47582
## 4604 Ukraine Y2004 47217
## 4605 Ukraine Y2005 46891
## 4606 Ukraine Y2006 46607
## 4607 Ukraine Y2007 46366
## 4608 Ukraine Y2008 46159
## 4609 Ukraine Y2009 45971
## 4610 Ukraine Y2010 45792
## 4611 Ukraine Y2011 45620
## 4612 Ukraine Y2012 45454
## 4613 Ukraine Y2013 45287
## 4614 Ukraine Y2014 45112
## 4615 Ukraine Y2015 44922
## 4616 Ukraine Y2016 44714
## 4617 Ukraine Y2017 44488
## 4618 Ukraine Y2018 44246
## 4619 Ukraine Y2019 43994
## 4620 Ukraine Y2020 43734
## 4621 United Arab Emirates Y2000 3134
## 4622 United Arab Emirates Y2001 3303
## 4623 United Arab Emirates Y2002 3479
## 4624 United Arab Emirates Y2003 3712
## 4625 United Arab Emirates Y2004 4069
## 4626 United Arab Emirates Y2005 4588
## 4627 United Arab Emirates Y2006 5300
## 4628 United Arab Emirates Y2007 6169
## 4629 United Arab Emirates Y2008 7089
## 4630 United Arab Emirates Y2009 7917
## 4631 United Arab Emirates Y2010 8550
## 4632 United Arab Emirates Y2011 8947
## 4633 United Arab Emirates Y2012 9142
## 4634 United Arab Emirates Y2013 9198
## 4635 United Arab Emirates Y2014 9214
## 4636 United Arab Emirates Y2015 9263
## 4637 United Arab Emirates Y2016 9361
## 4638 United Arab Emirates Y2017 9487
## 4639 United Arab Emirates Y2018 9631
## 4640 United Arab Emirates Y2019 9771
## 4641 United Arab Emirates Y2020 9890
## 4642 United Kingdom Y2000 58923
## 4643 United Kingdom Y2001 59124
## 4644 United Kingdom Y2002 59326
## 4645 United Kingdom Y2003 59561
## 4646 United Kingdom Y2004 59873
## 4647 United Kingdom Y2005 60288
## 4648 United Kingdom Y2006 60821
## 4649 United Kingdom Y2007 61455
## 4650 United Kingdom Y2008 62145
## 4651 United Kingdom Y2009 62829
## 4652 United Kingdom Y2010 63460
## 4653 United Kingdom Y2011 64022
## 4654 United Kingdom Y2012 64525
## 4655 United Kingdom Y2013 64984
## 4656 United Kingdom Y2014 65423
## 4657 United Kingdom Y2015 65860
## 4658 United Kingdom Y2016 66298
## 4659 United Kingdom Y2017 66727
## 4660 United Kingdom Y2018 67142
## 4661 United Kingdom Y2019 67530
## 4662 United Kingdom Y2020 67886
## 4663 United Republic of Tanzania Y2000 33499
## 4664 United Republic of Tanzania Y2001 34386
## 4665 United Republic of Tanzania Y2002 35335
## 4666 United Republic of Tanzania Y2003 36338
## 4667 United Republic of Tanzania Y2004 37380
## 4668 United Republic of Tanzania Y2005 38450
## 4669 United Republic of Tanzania Y2006 39549
## 4670 United Republic of Tanzania Y2007 40681
## 4671 United Republic of Tanzania Y2008 41854
## 4672 United Republic of Tanzania Y2009 43074
## 4673 United Republic of Tanzania Y2010 44347
## 4674 United Republic of Tanzania Y2011 45674
## 4675 United Republic of Tanzania Y2012 47053
## 4676 United Republic of Tanzania Y2013 48483
## 4677 United Republic of Tanzania Y2014 49961
## 4678 United Republic of Tanzania Y2015 51483
## 4679 United Republic of Tanzania Y2016 53049
## 4680 United Republic of Tanzania Y2017 54660
## 4681 United Republic of Tanzania Y2018 56313
## 4682 United Republic of Tanzania Y2019 58005
## 4683 United Republic of Tanzania Y2020 59734
## 4684 United States of America Y2000 281711
## 4685 United States of America Y2001 284608
## 4686 United States of America Y2002 287279
## 4687 United States of America Y2003 289816
## 4688 United States of America Y2004 292355
## 4689 United States of America Y2005 294994
## 4690 United States of America Y2006 297759
## 4691 United States of America Y2007 300608
## 4692 United States of America Y2008 303486
## 4693 United States of America Y2009 306308
## 4694 United States of America Y2010 309011
## 4695 United States of America Y2011 311584
## 4696 United States of America Y2012 314044
## 4697 United States of America Y2013 316401
## 4698 United States of America Y2014 318673
## 4699 United States of America Y2015 320878
## 4700 United States of America Y2016 323016
## 4701 United States of America Y2017 325085
## 4702 United States of America Y2018 327096
## 4703 United States of America Y2019 329065
## 4704 United States of America Y2020 331003
## 4705 United States Virgin Islands Y2000 109
## 4706 United States Virgin Islands Y2001 109
## 4707 United States Virgin Islands Y2002 109
## 4708 United States Virgin Islands Y2003 108
## 4709 United States Virgin Islands Y2004 108
## 4710 United States Virgin Islands Y2005 108
## 4711 United States Virgin Islands Y2006 107
## 4712 United States Virgin Islands Y2007 107
## 4713 United States Virgin Islands Y2008 107
## 4714 United States Virgin Islands Y2009 106
## 4715 United States Virgin Islands Y2010 106
## 4716 United States Virgin Islands Y2011 106
## 4717 United States Virgin Islands Y2012 106
## 4718 United States Virgin Islands Y2013 105
## 4719 United States Virgin Islands Y2014 105
## 4720 United States Virgin Islands Y2015 105
## 4721 United States Virgin Islands Y2016 105
## 4722 United States Virgin Islands Y2017 105
## 4723 United States Virgin Islands Y2018 105
## 4724 United States Virgin Islands Y2019 105
## 4725 United States Virgin Islands Y2020 104
## 4726 Uruguay Y2000 3320
## 4727 Uruguay Y2001 3325
## 4728 Uruguay Y2002 3326
## 4729 Uruguay Y2003 3324
## 4730 Uruguay Y2004 3321
## 4731 Uruguay Y2005 3322
## 4732 Uruguay Y2006 3325
## 4733 Uruguay Y2007 3332
## 4734 Uruguay Y2008 3340
## 4735 Uruguay Y2009 3350
## 4736 Uruguay Y2010 3359
## 4737 Uruguay Y2011 3369
## 4738 Uruguay Y2012 3379
## 4739 Uruguay Y2013 3389
## 4740 Uruguay Y2014 3400
## 4741 Uruguay Y2015 3412
## 4742 Uruguay Y2016 3424
## 4743 Uruguay Y2017 3437
## 4744 Uruguay Y2018 3449
## 4745 Uruguay Y2019 3462
## 4746 Uruguay Y2020 3474
## 4747 Uzbekistan Y2000 24770
## 4748 Uzbekistan Y2001 25109
## 4749 Uzbekistan Y2002 25431
## 4750 Uzbekistan Y2003 25749
## 4751 Uzbekistan Y2004 26078
## 4752 Uzbekistan Y2005 26428
## 4753 Uzbekistan Y2006 26804
## 4754 Uzbekistan Y2007 27205
## 4755 Uzbekistan Y2008 27627
## 4756 Uzbekistan Y2009 28065
## 4757 Uzbekistan Y2010 28516
## 4758 Uzbekistan Y2011 28977
## 4759 Uzbekistan Y2012 29449
## 4760 Uzbekistan Y2013 29933
## 4761 Uzbekistan Y2014 30426
## 4762 Uzbekistan Y2015 30930
## 4763 Uzbekistan Y2016 31442
## 4764 Uzbekistan Y2017 31960
## 4765 Uzbekistan Y2018 32476
## 4766 Uzbekistan Y2019 32982
## 4767 Uzbekistan Y2020 33469
## 4768 Vanuatu Y2000 185
## 4769 Vanuatu Y2001 189
## 4770 Vanuatu Y2002 194
## 4771 Vanuatu Y2003 199
## 4772 Vanuatu Y2004 204
## 4773 Vanuatu Y2005 209
## 4774 Vanuatu Y2006 214
## 4775 Vanuatu Y2007 219
## 4776 Vanuatu Y2008 225
## 4777 Vanuatu Y2009 230
## 4778 Vanuatu Y2010 236
## 4779 Vanuatu Y2011 243
## 4780 Vanuatu Y2012 250
## 4781 Vanuatu Y2013 257
## 4782 Vanuatu Y2014 264
## 4783 Vanuatu Y2015 271
## 4784 Vanuatu Y2016 278
## 4785 Vanuatu Y2017 285
## 4786 Vanuatu Y2018 293
## 4787 Vanuatu Y2019 300
## 4788 Vanuatu Y2020 307
## 4789 Venezuela (Bolivarian Republic of) Y2000 24192
## 4790 Venezuela (Bolivarian Republic of) Y2001 24646
## 4791 Venezuela (Bolivarian Republic of) Y2002 25100
## 4792 Venezuela (Bolivarian Republic of) Y2003 25552
## 4793 Venezuela (Bolivarian Republic of) Y2004 25997
## 4794 Venezuela (Bolivarian Republic of) Y2005 26432
## 4795 Venezuela (Bolivarian Republic of) Y2006 26850
## 4796 Venezuela (Bolivarian Republic of) Y2007 27248
## 4797 Venezuela (Bolivarian Republic of) Y2008 27636
## 4798 Venezuela (Bolivarian Republic of) Y2009 28031
## 4799 Venezuela (Bolivarian Republic of) Y2010 28440
## 4800 Venezuela (Bolivarian Republic of) Y2011 28888
## 4801 Venezuela (Bolivarian Republic of) Y2012 29361
## 4802 Venezuela (Bolivarian Republic of) Y2013 29781
## 4803 Venezuela (Bolivarian Republic of) Y2014 30043
## 4804 Venezuela (Bolivarian Republic of) Y2015 30082
## 4805 Venezuela (Bolivarian Republic of) Y2016 29851
## 4806 Venezuela (Bolivarian Republic of) Y2017 29402
## 4807 Venezuela (Bolivarian Republic of) Y2018 28887
## 4808 Venezuela (Bolivarian Republic of) Y2019 28516
## 4809 Venezuela (Bolivarian Republic of) Y2020 28436
## 4810 Viet Nam Y2000 79910
## 4811 Viet Nam Y2001 80743
## 4812 Viet Nam Y2002 81534
## 4813 Viet Nam Y2003 82302
## 4814 Viet Nam Y2004 83063
## 4815 Viet Nam Y2005 83833
## 4816 Viet Nam Y2006 84618
## 4817 Viet Nam Y2007 85420
## 4818 Viet Nam Y2008 86243
## 4819 Viet Nam Y2009 87092
## 4820 Viet Nam Y2010 87968
## 4821 Viet Nam Y2011 88871
## 4822 Viet Nam Y2012 89802
## 4823 Viet Nam Y2013 90753
## 4824 Viet Nam Y2014 91714
## 4825 Viet Nam Y2015 92677
## 4826 Viet Nam Y2016 93640
## 4827 Viet Nam Y2017 94601
## 4828 Viet Nam Y2018 95546
## 4829 Viet Nam Y2019 96462
## 4830 Viet Nam Y2020 97339
## 4831 Wallis and Futuna Islands Y2000 15
## 4832 Wallis and Futuna Islands Y2001 15
## 4833 Wallis and Futuna Islands Y2002 15
## 4834 Wallis and Futuna Islands Y2003 15
## 4835 Wallis and Futuna Islands Y2004 15
## 4836 Wallis and Futuna Islands Y2005 15
## 4837 Wallis and Futuna Islands Y2006 15
## 4838 Wallis and Futuna Islands Y2007 14
## 4839 Wallis and Futuna Islands Y2008 14
## 4840 Wallis and Futuna Islands Y2009 13
## 4841 Wallis and Futuna Islands Y2010 13
## 4842 Wallis and Futuna Islands Y2011 12
## 4843 Wallis and Futuna Islands Y2012 12
## 4844 Wallis and Futuna Islands Y2013 12
## 4845 Wallis and Futuna Islands Y2014 12
## 4846 Wallis and Futuna Islands Y2015 12
## 4847 Wallis and Futuna Islands Y2016 12
## 4848 Wallis and Futuna Islands Y2017 12
## 4849 Wallis and Futuna Islands Y2018 12
## 4850 Wallis and Futuna Islands Y2019 11
## 4851 Wallis and Futuna Islands Y2020 11
## 4852 Western Sahara Y2000 314
## 4853 Western Sahara Y2001 337
## 4854 Western Sahara Y2002 363
## 4855 Western Sahara Y2003 391
## 4856 Western Sahara Y2004 417
## 4857 Western Sahara Y2005 438
## 4858 Western Sahara Y2006 452
## 4859 Western Sahara Y2007 462
## 4860 Western Sahara Y2008 469
## 4861 Western Sahara Y2009 474
## 4862 Western Sahara Y2010 480
## 4863 Western Sahara Y2011 488
## 4864 Western Sahara Y2012 496
## 4865 Western Sahara Y2013 505
## 4866 Western Sahara Y2014 515
## 4867 Western Sahara Y2015 526
## 4868 Western Sahara Y2016 539
## 4869 Western Sahara Y2017 553
## 4870 Western Sahara Y2018 567
## 4871 Western Sahara Y2019 582
## 4872 Western Sahara Y2020 597
## 4873 Yemen Y2000 17409
## 4874 Yemen Y2001 17918
## 4875 Yemen Y2002 18444
## 4876 Yemen Y2003 18985
## 4877 Yemen Y2004 19540
## 4878 Yemen Y2005 20107
## 4879 Yemen Y2006 20688
## 4880 Yemen Y2007 21283
## 4881 Yemen Y2008 21892
## 4882 Yemen Y2009 22516
## 4883 Yemen Y2010 23155
## 4884 Yemen Y2011 23808
## 4885 Yemen Y2012 24473
## 4886 Yemen Y2013 25147
## 4887 Yemen Y2014 25823
## 4888 Yemen Y2015 26498
## 4889 Yemen Y2016 27168
## 4890 Yemen Y2017 27835
## 4891 Yemen Y2018 28499
## 4892 Yemen Y2019 29162
## 4893 Yemen Y2020 29826
## 4894 Zambia Y2000 10416
## 4895 Zambia Y2001 10692
## 4896 Zambia Y2002 10972
## 4897 Zambia Y2003 11257
## 4898 Zambia Y2004 11551
## 4899 Zambia Y2005 11856
## 4900 Zambia Y2006 12174
## 4901 Zambia Y2007 12503
## 4902 Zambia Y2008 12849
## 4903 Zambia Y2009 13215
## 4904 Zambia Y2010 13606
## 4905 Zambia Y2011 14023
## 4906 Zambia Y2012 14465
## 4907 Zambia Y2013 14927
## 4908 Zambia Y2014 15400
## 4909 Zambia Y2015 15879
## 4910 Zambia Y2016 16363
## 4911 Zambia Y2017 16854
## 4912 Zambia Y2018 17352
## 4913 Zambia Y2019 17861
## 4914 Zambia Y2020 18384
## 4915 Zimbabwe Y2000 11881
## 4916 Zimbabwe Y2001 11924
## 4917 Zimbabwe Y2002 11954
## 4918 Zimbabwe Y2003 11982
## 4919 Zimbabwe Y2004 12020
## 4920 Zimbabwe Y2005 12077
## 4921 Zimbabwe Y2006 12155
## 4922 Zimbabwe Y2007 12256
## 4923 Zimbabwe Y2008 12380
## 4924 Zimbabwe Y2009 12527
## 4925 Zimbabwe Y2010 12698
## 4926 Zimbabwe Y2011 12894
## 4927 Zimbabwe Y2012 13115
## 4928 Zimbabwe Y2013 13350
## 4929 Zimbabwe Y2014 13587
## 4930 Zimbabwe Y2015 13815
## 4931 Zimbabwe Y2016 14030
## 4932 Zimbabwe Y2017 14237
## 4933 Zimbabwe Y2018 14439
## 4934 Zimbabwe Y2019 14645
## 4935 Zimbabwe Y2020 14863head(WPmydataset)## Country Year Population
## 1 Burundi Y2000 6379
## 2 Comoros Y2000 542
## 3 Djibouti Y2000 718
## 4 Eritrea Y2000 2292
## 5 Ethiopia Y2000 66225
## 6 Kenya Y2000 31965Filter only top 10 countries for Y2020
WP1 <- arrange(WPmydataset, Year)
WP10 <- WP1 %>% filter(Year == 'Y2020')
WP2 <- WP10 %>% arrange(desc(Population))
WP3 <- head(WP2, n=10)
WP3 %>% kable() %>% kable_styling()| Country | Year | Population |
|---|---|---|
| China | Y2020 | 1439324 |
| India | Y2020 | 1380004 |
| United States of America | Y2020 | 331003 |
| Indonesia | Y2020 | 273524 |
| Pakistan | Y2020 | 220892 |
| Brazil | Y2020 | 212559 |
| Nigeria | Y2020 | 206140 |
| Bangladesh | Y2020 | 164689 |
| Russian Federation | Y2020 | 145934 |
| Mexico | Y2020 | 128933 |
Plot population using ggplot for top countries
ggplot(WP3, aes(x = reorder(Country, -Population), y = Population, fill = Country)) +
geom_bar(stat = "identity") +
xlab("Country") +
ylab("Population") +
ggtitle("Top Global Population (in thousands)") +
theme(axis.text.x = element_text(angle = 45,hjust = 1)) +
theme(plot.title = element_text(hjust = 0.5))