├── .gitignore ├── immigrant_visas.Rproj ├── output_data ├── 2009_2017_visa_categories.xlsx ├── 2009_2017_visa_categories_region.xlsx ├── annual_visas_by_country0817.csv ├── annual_visas_by_region0817.csv ├── categories.rds ├── categories_summary.csv ├── consolidated_long.rds ├── countries_long.csv ├── countries_regions.csv ├── countries_wide.csv ├── nm.rds ├── readme.MD ├── regional_long.rds └── specific_categories.csv ├── raw_data ├── APRIL 2018 - IV Issuances by FSC and Visa Class.csv ├── DECEMBER 2017 - IV Issuances by FSC and Visa Class.csv ├── FEBRUARY 2018 - IV Issuances by FSC and Visa Class.csv ├── FY08-AR-TableIII.csv ├── FY09AnnualReport_TableIII.csv ├── FY10AnnualReport-TableIII.csv ├── FY11AnnualReport-Table III.csv ├── FY12AnnualReport-TableIII.csv ├── FY13AnnualReport-TableIII.csv ├── FY14AnnualReport-TableIII.csv ├── FY15AnnualReport-TableIII.csv ├── FY16AnnualReport-TableIII.csv ├── FY17AnnualReport-TableIII.csv ├── JANUARY 2018 - IV Issuances by FSC and Visa Class.csv ├── MARCH 2018 - IV Issuances by FSC and Visa Class.csv ├── NOVEMBER 2017 - IV Issuances by FSC and Visa Class.csv ├── OCTOBER 2017 - IV Issuances by FSC and Visa Class.csv ├── consolidated.xlsx ├── nov-mar.xlsx ├── readme.MD ├── specific_categories.csv ├── tabula-MAY 2018 - IV Issuances by FSC and Visa Class.csv ├── ~$consolidated.xlsx └── ~$nov-mar.xlsx ├── readme.MD ├── scripts ├── 01_combining_data.R ├── 02_exploratory.R ├── 03_combining_data_special.R └── readme.MD ├── server.R ├── shiny_app.png └── ui.R /.gitignore: -------------------------------------------------------------------------------- 1 | # .ds_store 2 | .DS_Store 3 | 4 | # History files 5 | .Rhistory 6 | .Rapp.history 7 | 8 | # Session Data files 9 | .RData 10 | 11 | # Example code in package build process 12 | *-Ex.R 13 | 14 | # Output files from R CMD build 15 | /*.tar.gz 16 | 17 | # Output files from R CMD check 18 | /*.Rcheck/ 19 | 20 | # RStudio files 21 | .Rproj.user/ 22 | 23 | # produced vignettes 24 | vignettes/*.html 25 | vignettes/*.pdf 26 | 27 | # OAuth2 token, see https://github.com/hadley/httr/releases/tag/v0.3 28 | .httr-oauth 29 | 30 | # knitr and R markdown default cache directories 31 | /*_cache/ 32 | /cache/ 33 | 34 | # Temporary files created by R markdown 35 | *.utf8.md 36 | *.knit.md 37 | 38 | .Rproj.user -------------------------------------------------------------------------------- /immigrant_visas.Rproj: -------------------------------------------------------------------------------- 1 | Version: 1.0 2 | 3 | RestoreWorkspace: Default 4 | SaveWorkspace: Default 5 | AlwaysSaveHistory: Default 6 | 7 | EnableCodeIndexing: Yes 8 | UseSpacesForTab: Yes 9 | NumSpacesForTab: 2 10 | Encoding: UTF-8 11 | 12 | RnwWeave: Sweave 13 | LaTeX: pdfLaTeX 14 | -------------------------------------------------------------------------------- /output_data/2009_2017_visa_categories.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wpinvestigative/immigrant_visas/9a9b78c9601602e7b92c1494df59791c0202af41/output_data/2009_2017_visa_categories.xlsx -------------------------------------------------------------------------------- /output_data/2009_2017_visa_categories_region.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wpinvestigative/immigrant_visas/9a9b78c9601602e7b92c1494df59791c0202af41/output_data/2009_2017_visa_categories_region.xlsx -------------------------------------------------------------------------------- /output_data/annual_visas_by_region0817.csv: -------------------------------------------------------------------------------- 1 | Foreign State,Type,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017 2 | Region Total For Africa,Total,48693,50430,53152,52371,52458,58315,52999,52083,67332,62605 3 | Region Total For Asia,Total,176467,181118,191785,188981,195031,184011,194976,210794,249312,214529 4 | Region Total For Europe,Total,37757,37339,39357,39937,35633,39966,38686,45081,43282,43665 5 | Region Total For North America,Total,175416,171474,166151,162908,168536,158667,152088,189584,222924,206729 6 | Region Total for Oceania,Total,2017,1969,2152,1891,1707,1983,1787,2232,1827,1766 7 | Region Total For South America,Total,29749,26440,29455,30161,28935,30173,26834,31689,33075,30242 8 | Worldwide Grand Totals,Total,470099,468770,482052,476249,482300,473115,467370,531463,617752,559536 9 | Region Total For Africa,Immediate Relatives,19792,20830,21772,20887,30493,24708,20981,22488,34245,29152 10 | Region Total For Asia,Immediate Relatives,74955,81292,76939,80476,82566,74198,67147,85951,105731,80474 11 | Region Total For Europe,Immediate Relatives,17625,18136,17204,18282,17459,16332,13328,18142,19742,14831 12 | Region Total For North America,Immediate Relatives,109212,91132,84549,79873,87796,75834,71613,99518,136370,114537 13 | Region Total for Oceania,Immediate Relatives,867,990,935,941,802,831,636,966,937,615 14 | Region Total For South America,Immediate Relatives,16397,15137,14548,16397,16500,13532,11425,16367,18327,14821 15 | Worldwide Grand Totals,Immediate Relatives,238848,227517,215947,216856,235616,205435,185130,243432,315352,254430 16 | Region Total For Africa,Special Immigrants,61,47,98,111,151,128,146,116,171,163 17 | Region Total For Asia,Special Immigrants,2225,3969,2608,1324,4581,5786,11382,8758,15366,19236 18 | Region Total For Europe,Special Immigrants,128,161,145,204,193,223,213,255,222,191 19 | Region Total For North America,Special Immigrants,63,80,85,105,141,120,180,147,231,250 20 | Region Total for Oceania,Special Immigrants,9,8,18,20,19,19,6,11,10,12 21 | Region Total For South America,Special Immigrants,74,60,89,97,134,148,157,181,176,182 22 | Worldwide Grand Totals,Special Immigrants,2560,4325,3043,1861,5219,6424,12084,9468,16176,20034 23 | Region Total For Africa,Family Preference,5505,4620,6090,6987,7758,9356,8491,9160,11412,13077 24 | Region Total For Asia,Family Preference,83561,79107,95486,87348,86222,77753,91005,91067,98970,88804 25 | Region Total For Europe,Family Preference,4356,3711,5208,4495,4449,5442,5510,6071,7243,6991 26 | Region Total For North America,Family Preference,64257,78610,79868,81378,79400,81084,78638,88298,84298,89749 27 | Region Total for Oceania,Family Preference,432,358,563,380,332,339,422,468,372,376 28 | Region Total For South America,Family Preference,11785,9867,13352,12303,10967,15046,13694,13776,13203,13158 29 | Worldwide Grand Totals,Family Preference,169896,176273,200567,192891,189128,189020,197760,208840,215498,212155 30 | Region Total For Africa,Employment Preference,770,674,830,740,735,824,884,847,969,1113 31 | Region Total For Asia,Employment Preference,8533,9130,8118,10903,15383,16782,17236,17628,20578,18467 32 | Region Total For Europe,Employment Preference,1465,1678,1461,1373,1072,1350,1343,1472,1353,1612 33 | Region Total For North America,Employment Preference,1512,1326,1292,1184,1033,1262,1147,1009,1411,1714 34 | Region Total for Oceania,Employment Preference,53,41,64,45,66,63,62,57,76,68 35 | Region Total For South America,Employment Preference,1139,997,936,854,848,863,693,600,669,840 36 | Worldwide Grand Totals,Employment Preference,13472,13846,12701,15099,19137,21144,21365,21613,25056,23814 37 | Region Total For Africa,Diversity Immigrants,22565,24259,24362,23646,13321,23299,22497,19472,20535,19100 38 | Region Total For Asia,Diversity Immigrants,7116,7572,8611,8895,6204,9480,8193,7377,8661,7512 39 | Region Total For Europe,Diversity Immigrants,14183,13653,15339,15583,12460,16619,18292,19141,14722,20040 40 | Region Total For North America,Diversity Immigrants,372,326,357,368,166,367,510,612,614,479 41 | Region Total for Oceania,Diversity Immigrants,656,572,572,505,488,731,661,730,432,695 42 | Region Total For South America,Diversity Immigrants,354,379,530,510,486,584,865,765,700,1241 43 | Worldwide Grand Totals,Diversity Immigrants,45246,46761,49771,49507,33125,51080,51018,48097,45664,49067 -------------------------------------------------------------------------------- /output_data/categories.rds: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wpinvestigative/immigrant_visas/9a9b78c9601602e7b92c1494df59791c0202af41/output_data/categories.rds -------------------------------------------------------------------------------- /output_data/categories_summary.csv: -------------------------------------------------------------------------------- 1 | TypeOf,type,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018 2 | Africa,Diversity Immigrants,22565,24259,24362,23646,13321,23299,22497,19472,20535,19100,15240 3 | Africa,Employment Preference,770,674,830,740,735,824,884,847,969,1113,2064 4 | Africa,Family Visas,25297,25450,27862,27874,38251,34064,29472,31648,45657,42229,39396 5 | Africa,Special Immigrants,61,47,98,111,151,128,146,116,171,163,196 6 | Africa,Total,48693,50430,53152,52371,52458,58315,52999,52083,67332,62605,56896 7 | China,Diversity Immigrants,242,213,196,191,132,133,179,86,152,148,110 8 | China,Employment Preference,1410,2622,3169,4277,7680,8212,10224,9219,8959,8350,8225 9 | China,Family Visas,32444,24040,29933,33316,34530,25917,27103,31297,34744,28322,24584 10 | China,Special Immigrants,51,30,36,47,34,86,44,69,64,45,33 11 | China,Total,34147,26905,33334,37831,42376,34348,37550,40671,43919,36865,32952 12 | Christian-Majority Europe,Diversity Immigrants,8367,7605,8616,9253,7099,10562,11541,11948,9077,11187,11297 13 | Christian-Majority Europe,Employment Preference,1330,1424,1240,1128,950,1157,1113,1244,1159,1374,2246 14 | Christian-Majority Europe,Family Visas,18004,17730,18075,18578,17513,17858,14955,18720,20651,16446,16785 15 | Christian-Majority Europe,Special Immigrants,112,145,137,183,173,193,184,209,164,151,190 16 | Christian-Majority Europe,Total,27813,26904,28068,29142,25735,29770,27793,32121,31051,29158,30518 17 | Europe,Diversity Immigrants,14183,13653,15339,15583,12460,16619,18292,19141,14722,20040,20824 18 | Europe,Employment Preference,1465,1678,1461,1373,1072,1350,1343,1472,1353,1612,2616 19 | Europe,Family Visas,21981,21847,22412,22777,21908,21774,18838,24213,26985,21822,21815 20 | Europe,Special Immigrants,128,161,145,204,193,223,213,255,222,191,231 21 | Europe,Total,37757,37339,39357,39937,35633,39966,38686,45081,43282,43665,45486 22 | India,Diversity Immigrants,0,0,0,0,0,0,0,0,0,0, 23 | India,Employment Preference,937,644,904,650,616,667,745,682,676,756,1563 24 | India,Family Visas,24686,25462,27438,23504,24061,24396,24483,29514,30470,26407,28560 25 | India,Special Immigrants,101,142,126,132,82,137,123,185,214,140,68 26 | India,Total,25724,26248,28468,24286,24759,25200,25351,30381,31360,27303,30191 27 | Mexico-Central America,Diversity Immigrants,52,34,67,64,35,70,113,66,48,54,98 28 | Mexico-Central America,Employment Preference,883,796,746,757,562,788,585,411,411,376,627 29 | Mexico-Central America,Family Visas,114891,94974,86479,90679,95650,87537,82696,108053,120042,112997,116426 30 | Mexico-Central America,Special Immigrants,14,15,16,25,54,68,109,54,86,83,24 31 | Mexico-Central America,Total,115840,95819,87308,91525,96301,88463,83503,108584,120587,113510,117175 32 | Muslim-Majority,Diversity Immigrants,20410,21717,22248,21232,14149,21198,19879,18105,18190,19859,17505 33 | Muslim-Majority,Employment Preference,1940,1966,1935,1828,1499,1672,2032,1853,1914,2141,3003 34 | Muslim-Majority,Family Visas,52263,61394,56372,56084,63207,54307,60850,65498,90512,68744,59894 35 | Muslim-Majority,Special Immigrants,1920,3652,2334,998,4360,5421,11104,8344,14895,18831,9115 36 | Muslim-Majority,Total,76533,88729,82889,80142,83215,82598,93865,93800,125511,109575,89517 37 | Philippines,Diversity Immigrants,0,0,0,0,0,0,0,0,0,0, 38 | Philippines,Employment Preference,2608,2134,1093,1856,3393,4114,2662,3981,5664,4278,6011 39 | Philippines,Family Visas,28036,33786,36173,32716,32913,31515,28909,32521,29391,25964,26951 40 | Philippines,Special Immigrants,148,128,128,130,84,116,87,148,219,168,143 41 | Philippines,Total,30792,36048,37394,34702,36390,35745,31658,36650,35274,30410,33105 42 | Travel Banned,Diversity Immigrants,953,1340,2036,2182,2584,4171,2742,3035,3492,2614,428 43 | Travel Banned,Employment Preference,337,379,337,511,455,449,514,396,384,550,292 44 | Travel Banned,Family Visas,8314,9868,10438,9935,10749,9960,10575,10136,21668,13684,4201 45 | Travel Banned,Special Immigrants,28,25,23,24,31,50,56,52,43,41,54 46 | Travel Banned,Total,9632,11612,12834,12652,13819,14630,13887,13619,25587,16889,4975 47 | Vietnam,Diversity Immigrants,0,0,0,0,0,0,0,0,0,0, 48 | Vietnam,Employment Preference,31,24,74,105,52,68,149,523,563,665,1197 49 | Vietnam,Family Visas,23442,19998,27450,26865,23988,23323,24286,26823,32352,27965,26130 50 | Vietnam,Special Immigrants,9,11,10,27,18,21,44,32,49,53,23 51 | Vietnam,Total,23559,20079,27557,27032,24133,23424,24489,27391,32970,28719,27350 52 | NA,Diversity Immigrants,4616,4288,4473,4462,3895,6335,6594,6027,6057,6588,7873 53 | NA,Employment Preference,3989,3876,3175,4162,4016,4000,3434,3288,5247,5272,6886 54 | NA,Family Visas,100859,112925,119943,112722,111719,109834,103739,123206,148395,134730,134397 55 | NA,Special Immigrants,177,180,227,276,344,317,344,376,417,495,361 56 | NA,Total,109641,115261,127818,121622,119974,120486,114114,132897,160116,147085,149517 -------------------------------------------------------------------------------- /output_data/consolidated_long.rds: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wpinvestigative/immigrant_visas/9a9b78c9601602e7b92c1494df59791c0202af41/output_data/consolidated_long.rds -------------------------------------------------------------------------------- /output_data/countries_regions.csv: -------------------------------------------------------------------------------- 1 | "Foreign State","area" 2 | "Afghanistan","Asia" 3 | "Albania","Europe" 4 | "Algeria","Africa" 5 | "Andorra","Europe" 6 | "Angola","Africa" 7 | "Anguilla","Europe" 8 | "Antigua and Barbuda","North America" 9 | "Argentina","South America" 10 | "Armenia","Europe" 11 | "Aruba","Europe" 12 | "Australia","Oceania" 13 | "Austria","Europe" 14 | "Azerbaijan","Europe" 15 | "Bahamas","North America" 16 | "Bahrain","Asia" 17 | "Bangladesh","Asia" 18 | "Barbados","North America" 19 | "Belarus","Europe" 20 | "Belgium","Europe" 21 | "Belize","North America" 22 | "Benin","Africa" 23 | "Bermuda","Europe" 24 | "Bhutan","Asia" 25 | "Bolivia","South America" 26 | "Bosnia and Herzegovina","Europe" 27 | "Botswana","Africa" 28 | "Brazil","South America" 29 | "British Indian Ocean Territory","Europe" 30 | "British Virgin Islands","Europe" 31 | "Brunei","Asia" 32 | "Bulgaria","Europe" 33 | "Burkina Faso","Africa" 34 | "Burma","Asia" 35 | "Burundi","Africa" 36 | "Cambodia","Asia" 37 | "Cameroon","Africa" 38 | "Canada","North America" 39 | "Cape Verde","Africa" 40 | "Cayman Islands","Europe" 41 | "Central African Republic","Africa" 42 | "Chad","Africa" 43 | "Chile","South America" 44 | "China - mainland born","Asia" 45 | "China - Taiwan born","Asia" 46 | "Christmas Island","Oceania" 47 | "Cocos Islands","Oceania" 48 | "Colombia","South America" 49 | "Comoros","Africa" 50 | "Congo, Dem. Rep. of the","Africa" 51 | "Congo, Republic of the","Africa" 52 | "Cook Islands","Oceania" 53 | "Costa Rica","North America" 54 | "Cote d'Ivoire","Africa" 55 | "Croatia","Europe" 56 | "Cuba","North America" 57 | "Curacao","Europe" 58 | "Cyprus","Europe" 59 | "Czech Republic","Europe" 60 | "Denmark","Europe" 61 | "Djibouti","Africa" 62 | "Dominica","North America" 63 | "Dominican Republic","North America" 64 | "Ecuador","South America" 65 | "Egypt","Africa" 66 | "El Salvador","North America" 67 | "Equatorial Guinea","Africa" 68 | "Eritrea","Africa" 69 | "Estonia","Europe" 70 | "Ethiopia","Africa" 71 | "Falkland Islands","Europe" 72 | "Faroe Islands","Europe" 73 | "Fiji","Oceania" 74 | "Finland","Europe" 75 | "France","Europe" 76 | "French Guiana","Europe" 77 | "French Polynesia","Europe" 78 | "French Southern and Antarctic Lands","Europe" 79 | "Gabon","Africa" 80 | "Gambia, The","Africa" 81 | "Georgia","Europe" 82 | "Germany","Europe" 83 | "Ghana","Africa" 84 | "Gibraltar","Europe" 85 | "Great Britain and Northern Ireland","Europe" 86 | "Greece","Europe" 87 | "Greenland","Europe" 88 | "Grenada","North America" 89 | "Guadeloupe","Europe" 90 | "Guatemala","North America" 91 | "Guinea","Africa" 92 | "Guinea-Bissau","Africa" 93 | "Guyana","South America" 94 | "Haiti","North America" 95 | "Honduras","North America" 96 | "Hong Kong S.A.R.","Asia" 97 | "Hungary","Europe" 98 | "Iceland","Europe" 99 | "India","Asia" 100 | "Indonesia","Asia" 101 | "Iran","Asia" 102 | "Iraq","Asia" 103 | "Ireland","Europe" 104 | "Israel","Asia" 105 | "Italy","Europe" 106 | "Jamaica","North America" 107 | "Japan","Asia" 108 | "Jordan","Asia" 109 | "Kazakhstan","Europe" 110 | "Kenya","Africa" 111 | "Kiribati","Oceania" 112 | "Korea, North","Asia" 113 | "Korea, South","Asia" 114 | "Kosovo","Europe" 115 | "Kuwait","Asia" 116 | "Kyrgyzstan","Europe" 117 | "Laos","Asia" 118 | "Latvia","Europe" 119 | "Lebanon","Asia" 120 | "Lesotho","Africa" 121 | "Liberia","Africa" 122 | "Libya","Africa" 123 | "Liechtenstein","Europe" 124 | "Lithuania","Europe" 125 | "Luxembourg","Europe" 126 | "Macau","Europe" 127 | "Macedonia","Europe" 128 | "Madagascar","Africa" 129 | "Malawi","Africa" 130 | "Malaysia","Asia" 131 | "Maldives","Asia" 132 | "Mali","Africa" 133 | "Malta","Europe" 134 | "Marshall Islands","Oceania" 135 | "Martinique","Europe" 136 | "Mauritania","Africa" 137 | "Mauritius","Africa" 138 | "Mayotte","Europe" 139 | "Mexico","North America" 140 | "Micronesia, Federated States of","Oceania" 141 | "Moldova","Europe" 142 | "Monaco","Europe" 143 | "Mongolia","Asia" 144 | "Montenegro","Europe" 145 | "Montserrat","Europe" 146 | "Morocco","Africa" 147 | "Mozambique","Africa" 148 | "Namibia","Africa" 149 | "Nauru","Oceania" 150 | "Nepal","Asia" 151 | "Netherlands","Europe" 152 | "Netherlands Antilles","Europe" 153 | "New Caledonia","Europe" 154 | "New Zealand","Oceania" 155 | "Nicaragua","North America" 156 | "Niger","Africa" 157 | "Nigeria","Africa" 158 | "Niue","Oceania" 159 | "Norfolk Island","Oceania" 160 | "Northern Ireland (DV only)","Europe" 161 | "Norway","Europe" 162 | "Oman","Asia" 163 | "Pakistan","Asia" 164 | "Palau","Oceania" 165 | "Panama","North America" 166 | "Papua New Guinea","Oceania" 167 | "Paraguay","South America" 168 | "Peru","South America" 169 | "Philippines","Asia" 170 | "Pitcairn","Europe" 171 | "Poland","Europe" 172 | "Portugal","Europe" 173 | "Qatar","Asia" 174 | "Reunion","Europe" 175 | "Romania","Europe" 176 | "Russia","Europe" 177 | "Rwanda","Africa" 178 | "Saint Kitts and Nevis","North America" 179 | "Saint Lucia","North America" 180 | "Saint Martin","Europe" 181 | "Saint Vincent and the Grenadines","North America" 182 | "Samoa","Oceania" 183 | "San Marino","Europe" 184 | "Sao Tome and Principe","Africa" 185 | "Saudi Arabia","Asia" 186 | "Senegal","Africa" 187 | "Serbia","Europe" 188 | "Seychelles","Africa" 189 | "Sierra Leone","Africa" 190 | "Singapore","Asia" 191 | "Sint Maarten","Europe" 192 | "Slovakia","Europe" 193 | "Slovenia","Europe" 194 | "Solomon Islands","Oceania" 195 | "Somalia","Africa" 196 | "South Africa","Africa" 197 | "South Georgia and the South Sandwich Islands","Europe" 198 | "South Sudan","Africa" 199 | "Spain","Europe" 200 | "Sri Lanka","Asia" 201 | "St. Barthelemy","Europe" 202 | "St. Helena","Europe" 203 | "St. Pierre and Miquelon","Europe" 204 | "Sudan","Africa" 205 | "Suriname","South America" 206 | "Svalbard","Europe" 207 | "Swaziland","Africa" 208 | "Sweden","Europe" 209 | "Switzerland","Europe" 210 | "Syria","Asia" 211 | "Tajikistan","Europe" 212 | "Tanzania","Africa" 213 | "Thailand","Asia" 214 | "Timor-Leste","Asia" 215 | "Togo","Africa" 216 | "Tokelau","Oceania" 217 | "Tonga","Oceania" 218 | "Trinidad and Tobago","North America" 219 | "Tunisia","Africa" 220 | "Turkey","Europe" 221 | "Turkmenistan","Europe" 222 | "Turks and Caicos Islands","Europe" 223 | "Tuvalu","Oceania" 224 | "Uganda","Africa" 225 | "Ukraine","Europe" 226 | "United Arab Emirates","Asia" 227 | "Uruguay","South America" 228 | "Uzbekistan","Europe" 229 | "Vanuatu","Oceania" 230 | "Vatican City","Europe" 231 | "Venezuela","South America" 232 | "Vietnam","Asia" 233 | "Wallis and Futuna","Europe" 234 | "Western Sahara","Europe" 235 | "Western Sahara","Africa" 236 | "Yemen","Asia" 237 | "Zambia","Africa" 238 | "Zimbabwe","Africa" 239 | -------------------------------------------------------------------------------- /output_data/nm.rds: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wpinvestigative/immigrant_visas/9a9b78c9601602e7b92c1494df59791c0202af41/output_data/nm.rds -------------------------------------------------------------------------------- /output_data/readme.MD: -------------------------------------------------------------------------------- 1 | ## Data in this folder 2 | 3 | * 2009_2017_visa_categories.xlsx 4 | * Parsed and stitched together from the raw PDF files as an Excel file, each category is a sheet 5 | * 2009_2017_visa_categories_region.xlsx 6 | * Parsed and stitched together from the raw PDF files as an Excel file, each category is a sheet 7 | * annual_visas_by_country0817.csv 8 | * Parsed and stitched together from the raw PDF files as a long CSV file 9 | * annual_visas_by_region0817.csv 10 | * Parsed and stitched together from the raw PDF files as a long CSV file 11 | * countries_long.csv 12 | * Long data frame of country, year, region, visa type, and total 13 | * countries_regions.csv 14 | * Relationship file for official designated country-to-region designations 15 | * categories_summary.csv 16 | * Summary of custom categories, such as "Travel Banned" and "Muslim-Majority Countries" 17 | * countries_wide.csv 18 | * Wide data frame of country, year, region, visa type, and total 19 | * specific_categories.csv 20 | * Relationship file for our self-designated country-to-type designations (which lead to categories.summary.csv) 21 | 22 | ---- 23 | 24 | ## R specific files 25 | 26 | Essentially the files above but in .rds file formats to be used with the Shiny app 27 | 28 | * categories.rds 29 | * consolidated_long.rds 30 | * nm.rds 31 | * regional_long.rds 32 | -------------------------------------------------------------------------------- /output_data/regional_long.rds: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wpinvestigative/immigrant_visas/9a9b78c9601602e7b92c1494df59791c0202af41/output_data/regional_long.rds -------------------------------------------------------------------------------- /output_data/specific_categories.csv: -------------------------------------------------------------------------------- 1 | Country,TypeOf 2 | Afghanistan,Muslim-Majority 3 | Albania,Muslim-Majority 4 | Algeria,Muslim-Majority 5 | Azerbaijan,Muslim-Majority 6 | Bahrain,Muslim-Majority 7 | Bangladesh,Muslim-Majority 8 | Brunei,Muslim-Majority 9 | Burkina Faso,Muslim-Majority 10 | Chad,Muslim-Majority 11 | Comoros,Muslim-Majority 12 | Djibouti,Muslim-Majority 13 | Egypt,Muslim-Majority 14 | Guinea,Muslim-Majority 15 | Indonesia,Muslim-Majority 16 | Iran,Muslim-Majority 17 | Iraq,Muslim-Majority 18 | Jordan,Muslim-Majority 19 | Kazakhstan,Muslim-Majority 20 | Kosovo,Muslim-Majority 21 | Kuwait,Muslim-Majority 22 | Kyrgyzstan,Muslim-Majority 23 | Lebanon,Muslim-Majority 24 | Libya,Muslim-Majority 25 | Malaysia,Muslim-Majority 26 | Maldives,Muslim-Majority 27 | Mali,Muslim-Majority 28 | Mauritania,Muslim-Majority 29 | Morocco,Muslim-Majority 30 | Niger,Muslim-Majority 31 | Nigeria,Muslim-Majority 32 | Oman,Muslim-Majority 33 | Pakistan,Muslim-Majority 34 | Palestine,Muslim-Majority 35 | Qatar,Muslim-Majority 36 | Saudi Arabia,Muslim-Majority 37 | Senegal,Muslim-Majority 38 | Sierra Leone,Muslim-Majority 39 | Somalia,Muslim-Majority 40 | Sudan,Muslim-Majority 41 | Syria,Muslim-Majority 42 | Tajikistan,Muslim-Majority 43 | The Gambia,Muslim-Majority 44 | Tunisia,Muslim-Majority 45 | Turkey,Muslim-Majority 46 | Turkmenistan,Muslim-Majority 47 | United Arab Emirates,Muslim-Majority 48 | Uzbekistan,Muslim-Majority 49 | Western Sahara,Muslim-Majority 50 | Yemen,Muslim-Majority 51 | Austria,Christian-Majority Europe 52 | Andorra,Christian-Majority Europe 53 | Armenia,Christian-Majority Europe 54 | Belarus,Christian-Majority Europe 55 | Belgium,Christian-Majority Europe 56 | Bosnia and Herzegovina,Christian-Majority Europe 57 | Bulgaria,Christian-Majority Europe 58 | Croatia,Christian-Majority Europe 59 | Cyprus,Christian-Majority Europe 60 | Czech Republic,Christian-Majority Europe 61 | Denmark,Christian-Majority Europe 62 | Estonia,Christian-Majority Europe 63 | Finland,Christian-Majority Europe 64 | France,Christian-Majority Europe 65 | Georgia,Christian-Majority Europe 66 | Germany,Christian-Majority Europe 67 | Greece,Christian-Majority Europe 68 | Hungary,Christian-Majority Europe 69 | Iceland,Christian-Majority Europe 70 | Ireland,Christian-Majority Europe 71 | Italy,Christian-Majority Europe 72 | Latvia,Christian-Majority Europe 73 | Liechtenstein,Christian-Majority Europe 74 | Lithuania,Christian-Majority Europe 75 | Luxembourg,Christian-Majority Europe 76 | Macedonia,Christian-Majority Europe 77 | Malta,Christian-Majority Europe 78 | Moldova,Christian-Majority Europe 79 | Monaco,Christian-Majority Europe 80 | Montenegro,Christian-Majority Europe 81 | Netherlands,Christian-Majority Europe 82 | Norway,Christian-Majority Europe 83 | Poland,Christian-Majority Europe 84 | Portugal,Christian-Majority Europe 85 | Romania,Christian-Majority Europe 86 | Russia,Christian-Majority Europe 87 | San Marino,Christian-Majority Europe 88 | Serbia,Christian-Majority Europe 89 | Slovakia,Christian-Majority Europe 90 | Slovenia,Christian-Majority Europe 91 | Spain,Christian-Majority Europe 92 | Sweden,Christian-Majority Europe 93 | Switzerland,Christian-Majority Europe 94 | Ukraine,Christian-Majority Europe 95 | Great Britain and Northern Ireland,Christian-Majority Europe 96 | Vatican City,Christian-Majority Europe 97 | China - mainland born,China 98 | India,India 99 | Philippines,Philippines 100 | Vietnam,Vietnam 101 | Algeria,Africa 102 | Angola,Africa 103 | Benin,Africa 104 | Botswana,Africa 105 | Burkina Faso,Africa 106 | Burundi,Africa 107 | Cameroon,Africa 108 | Cape Verde,Africa 109 | Central African Republic,Africa 110 | Chad,Africa 111 | Comoros,Africa 112 | "Congo, Dem. Rep. of the",Africa 113 | "Congo, Republic of the",Africa 114 | Cote d'Ivoire,Africa 115 | Djibouti,Africa 116 | Egypt,Africa 117 | Equatorial Guinea,Africa 118 | Eritrea,Africa 119 | Ethiopia,Africa 120 | Gabon,Africa 121 | "Gambia, The",Africa 122 | Ghana,Africa 123 | Guinea,Africa 124 | Guinea-Bissau,Africa 125 | Kenya,Africa 126 | Lesotho,Africa 127 | Liberia,Africa 128 | Libya,Africa 129 | Madagascar,Africa 130 | Malawi,Africa 131 | Mali,Africa 132 | Mauritania,Africa 133 | Mauritius,Africa 134 | Morocco,Africa 135 | Mozambique,Africa 136 | Namibia,Africa 137 | Niger,Africa 138 | Nigeria,Africa 139 | Rwanda,Africa 140 | Sao Tome and Principe,Africa 141 | Senegal,Africa 142 | Seychelles,Africa 143 | Sierra Leone,Africa 144 | Somalia,Africa 145 | South Africa,Africa 146 | South Sudan,Africa 147 | Sudan,Africa 148 | Swaziland,Africa 149 | Tanzania,Africa 150 | Togo,Africa 151 | Tunisia,Africa 152 | Uganda,Africa 153 | Western Sahara,Africa 154 | Zambia,Africa 155 | Zimbabwe,Africa 156 | Albania,Europe 157 | Andorra,Europe 158 | Anguilla,Europe 159 | Armenia,Europe 160 | Aruba,Europe 161 | Austria,Europe 162 | Azerbaijan,Europe 163 | Belarus,Europe 164 | Belgium,Europe 165 | Bermuda,Europe 166 | Bosnia and Herzegovina,Europe 167 | British Indian Ocean Territory,Europe 168 | British Virgin Islands,Europe 169 | Bulgaria,Europe 170 | Cayman Islands,Europe 171 | Croatia,Europe 172 | Curacao,Europe 173 | Cyprus,Europe 174 | Czech Republic,Europe 175 | Denmark,Europe 176 | Estonia,Europe 177 | Falkland Islands,Europe 178 | Faroe Islands,Europe 179 | Finland,Europe 180 | France,Europe 181 | French Guiana,Europe 182 | French Polynesia,Europe 183 | French Southern and Antarctic Lands,Europe 184 | Georgia,Europe 185 | Germany,Europe 186 | Gibraltar,Europe 187 | Great Britain and Northern Ireland,Europe 188 | Greece,Europe 189 | Greenland,Europe 190 | Guadeloupe,Europe 191 | Hungary,Europe 192 | Iceland,Europe 193 | Ireland,Europe 194 | Italy,Europe 195 | Kazakhstan,Europe 196 | Kosovo,Europe 197 | Kyrgyzstan,Europe 198 | Latvia,Europe 199 | Liechtenstein,Europe 200 | Lithuania,Europe 201 | Luxembourg,Europe 202 | Macau,Europe 203 | Macedonia,Europe 204 | Malta,Europe 205 | Martinique,Europe 206 | Mayotte,Europe 207 | Moldova,Europe 208 | Monaco,Europe 209 | Montenegro,Europe 210 | Montserrat,Europe 211 | Netherlands,Europe 212 | Netherlands Antilles,Europe 213 | New Caledonia,Europe 214 | Northern Ireland (DV only),Europe 215 | Norway,Europe 216 | Pitcairn,Europe 217 | Poland,Europe 218 | Portugal,Europe 219 | Reunion,Europe 220 | Romania,Europe 221 | Russia,Europe 222 | Saint Martin,Europe 223 | San Marino,Europe 224 | Serbia,Europe 225 | Sint Maarten,Europe 226 | Slovakia,Europe 227 | Slovenia,Europe 228 | South Georgia and the South Sandwich Islands,Europe 229 | Spain,Europe 230 | St. Barthelemy,Europe 231 | St. Helena,Europe 232 | St. Pierre and Miquelon,Europe 233 | Svalbard,Europe 234 | Sweden,Europe 235 | Switzerland,Europe 236 | Tajikistan,Europe 237 | Turkey,Europe 238 | Turkmenistan,Europe 239 | Turks and Caicos Islands,Europe 240 | Ukraine,Europe 241 | Uzbekistan,Europe 242 | Vatican City,Europe 243 | Wallis and Futuna,Europe 244 | Western Sahara,Europe 245 | China - Taiwan born,China 246 | Mexico,Mexico-Central America 247 | Guatemala,Mexico-Central America 248 | Honduras,Mexico-Central America 249 | El Salvador,Mexico-Central America 250 | Nicaragua,Mexico-Central America 251 | Costa Rica,Mexico-Central America 252 | Panama,Mexico-Central America 253 | Syria,Travel Banned 254 | Libya,Travel Banned 255 | Somalia,Travel Banned 256 | Iran,Travel Banned 257 | Yemen,Travel Banned 258 | Chad,Travel Banned 259 | "Korea, North",Travel Banned -------------------------------------------------------------------------------- /raw_data/FY08-AR-TableIII.csv: -------------------------------------------------------------------------------- 1 | Foreign State,Immediate Relatives,Special Immigrants,Family Preference,Employment Preference,Diversity Immigrants,Total 2 | Africa,,,,,, 3 | Algeria,200,0,23,4,821,"1,048" 4 | Angola,12,0,25,3,4,44 5 | Benin,20,0,2,15,176,213 6 | Botswana,2,0,0,0,7,9 7 | Burkina Faso,15,0,0,13,111,139 8 | Burundi,14,0,3,0,9,26 9 | Cameroon,260,3,80,12,"1,164","1,519" 10 | Cape Verde,514,3,860,5,0,"1,382" 11 | Central African Republic,3,0,0,0,0,3 12 | Chad,6,0,0,0,6,12 13 | Comoros,0,0,0,0,1,1 14 | "Congo, Republic of the",6,0,3,3,43,55 15 | "Congo, Dem. Rep. of the",74,0,14,5,502,595 16 | Cote d'Ivoire,230,0,50,11,191,482 17 | Djibouti,8,0,3,0,15,26 18 | Egypt,"1,551",19,717,105,"3,279","5,671" 19 | Equatorial Guinea,1,0,0,0,1,2 20 | Eritrea,234,0,40,16,301,591 21 | Ethiopia,"4,015",1,570,53,"3,542","8,181" 22 | Gabon,6,0,0,0,14,20 23 | "Gambia, The",132,0,26,8,6,172 24 | Ghana,"3,192",10,632,67,"1,822","5,723" 25 | Guinea,89,0,9,4,107,209 26 | Guinea-Bissau,8,0,1,0,0,9 27 | Kenya,530,0,172,37,"2,123","2,862" 28 | Lesotho,2,0,0,0,0,2 29 | Liberia,652,0,130,9,567,"1,358" 30 | Libya,96,3,21,1,20,141 31 | Madagascar,6,0,6,15,11,38 32 | Malawi,13,1,5,2,16,37 33 | Mali,42,0,6,21,22,91 34 | Mauritania,15,0,5,0,3,23 35 | Mauritius,5,0,0,0,18,23 36 | Morocco,"1,055",3,198,46,"2,115","3,417" 37 | Mozambique,5,0,10,0,0,15 38 | Namibia,6,0,0,1,0,7 39 | Niger,19,0,0,3,39,61 40 | Nigeria,"4,333",1,"1,304",181,"3,393","9,212" 41 | Rwanda,37,1,3,2,43,86 42 | Sao Tome and Principe,6,0,0,0,0,6 43 | Senegal,303,1,49,28,94,475 44 | Seychelles,1,0,5,0,0,6 45 | Sierra Leone,400,0,66,9,430,905 46 | Somalia,404,4,54,8,40,510 47 | South Africa,303,3,61,24,210,601 48 | Sudan,377,2,42,3,495,919 49 | Swaziland,4,0,1,0,0,5 50 | Tanzania,86,0,104,3,63,256 51 | Togo,125,1,42,19,464,651 52 | Tunisia,68,1,20,5,37,131 53 | Uganda,173,1,101,18,141,434 54 | Zambia,65,2,19,2,55,143 55 | Zimbabwe,69,1,23,9,44,146 56 | Region Total For Africa,"19,792",61,"5,505",770,"22,565","48,693" 57 | Asia,,,,,, 58 | Afghanistan,479,817,314,12,32,"1,654" 59 | Bahrain,12,0,12,2,0,26 60 | Bangladesh,"3,328",4,"3,609",200,"2,268","9,409" 61 | Bhutan,3,0,0,0,7,10 62 | Brunei,0,0,2,0,1,3 63 | Burma,347,0,473,13,111,944 64 | Cambodia,"1,627",0,404,8,92,"2,131" 65 | China - mainland born,"14,618",44,"14,635","1,251",0,"30,548" 66 | China - Taiwan born,845,7,"2,346",159,242,"3,599" 67 | Hong Kong S.A.R,230,4,"1,760",46,44,"2,084" 68 | India,"10,524",101,"14,162",937,0,"25,724" 69 | Indonesia,296,1,117,27,128,569 70 | Iran,"2,571",9,"2,767",240,827,"6,414" 71 | Iraq,709,969,742,9,86,"2,515" 72 | Israel,436,8,98,86,38,666 73 | Japan,"1,481",9,90,350,259,"2,189" 74 | Jordan,"1,600",2,"1,414",30,24,"3,070" 75 | "Korea, North",18,0,4,3,0,25 76 | "Korea, South","2,445",20,"1,230","1,341",0,"5,036" 77 | Kuwait,173,5,262,6,22,468 78 | Laos,68,0,90,4,0,162 79 | Lebanon,"1,037",9,"1,194",96,75,"2,411" 80 | Malaysia,176,1,103,53,35,368 81 | Maldives,1,0,0,1,0,2 82 | Mongolia,79,0,3,6,195,283 83 | Nepal,279,1,72,146,"2,040","2,538" 84 | Oman,9,0,0,0,5,14 85 | Pakistan,"5,564",40,"7,595",598,0,"13,797" 86 | Philippines,"15,253",148,"12,783","2,608",0,"30,792" 87 | Qatar,23,0,14,1,1,39 88 | Saudi Arabia,253,1,121,9,21,405 89 | Singapore,87,0,49,12,18,166 90 | Sri Lanka,197,0,171,91,445,904 91 | Syria,525,11,620,66,38,"1,260" 92 | Thailand,838,3,242,65,37,"1,185" 93 | Timor-Leste,1,0,0,0,0,1 94 | United Arab Emirates,87,1,129,7,3,227 95 | Vietnam,"7,728",9,"15,714",31,0,"23,559" 96 | Yemen,"1,008",1,220,19,22,"1,270" 97 | Region Total For Asia,"74,955","2,225","83,561","8,533","7,116","176,467" 98 | Europe,,,,,, 99 | Albania,"1,628",5,118,9,"2,049","3,809" 100 | Andorra,0,0,0,0,0,0 101 | Armenia,277,1,112,15,813,"1,218" 102 | Austria,57,0,9,9,25,100 103 | Azerbaijan,95,1,19,4,160,279 104 | Belarus,158,1,50,14,753,976 105 | Belgium,67,0,9,15,31,122 106 | Bosnia and Herzegovina,310,0,11,6,27,354 107 | Bulgaria,385,10,52,13,"1,051","1,511" 108 | Croatia,82,1,13,2,15,113 109 | Cyprus,11,0,9,2,5,27 110 | Czech Republic,94,0,15,15,73,197 111 | Denmark,60,0,4,23,17,104 112 | Greenland,0,0,0,0,0,0 113 | Estonia,35,0,2,2,18,57 114 | Finland,49,0,1,10,8,68 115 | France,430,3,92,93,262,880 116 | French Guiana,1,0,2,0,0,3 117 | French Polynesia,5,0,0,0,0,5 118 | French Southern and Antarctic,,,,,, 119 | Lands,0,0,0,0,0,0 120 | Guadeloupe,8,0,8,0,2,18 121 | Martinique,6,0,0,1,3,10 122 | New Caledonia,0,0,0,0,0,0 123 | Reunion,1,0,0,0,0,1 124 | St. Pierre and Miquelon,0,0,0,0,0,0 125 | Wallis and Futuna,0,0,0,0,0,0 126 | Georgia,150,1,3,11,270,435 127 | Germany,"1,320",9,164,118,752,"2,363" 128 | Great Britain and Northern Ireland,"1,644",9,593,413,0,"2,659" 129 | Anguilla,5,0,4,0,0,9 130 | Bermuda,32,0,7,1,0,40 131 | British Virgin Islands,6,0,11,0,0,17 132 | Cayman Islands,5,1,2,0,0,8 133 | Falkland Islands,0,0,0,0,0,0 134 | Gibraltar,1,0,0,0,0,1 135 | Montserrat,3,0,13,0,0,16 136 | Pitcairn,0,0,0,0,0,0 137 | St. Helena,0,0,1,0,0,1 138 | Turks and Caicos Islands,6,0,2,0,0,8 139 | Greece,122,1,33,11,75,242 140 | Hungary,151,1,18,16,74,260 141 | Iceland,14,0,1,6,4,25 142 | Ireland,151,4,10,15,44,224 143 | Italy,351,8,75,58,103,595 144 | Kazakhstan,535,1,19,6,166,727 145 | Kosovo,35,0,1,0,2,38 146 | Kyrgyzstan,167,1,11,0,129,308 147 | Latvia,77,0,1,0,16,94 148 | Liechtenstein,0,0,0,0,0,0 149 | Lithuania,107,1,18,4,114,244 150 | Luxembourg,4,0,0,1,3,8 151 | Macedonia,344,0,144,8,213,709 152 | Malta,7,0,0,0,0,7 153 | Moldova,160,0,16,7,270,453 154 | Monaco,0,0,0,0,1,1 155 | Montenegro,116,0,34,0,8,158 156 | Netherlands,147,3,23,25,62,260 157 | Aruba,1,0,2,0,6,9 158 | Netherlands Antilles,15,0,10,0,0,25 159 | Northern Ireland (DV only),-,-,-,-,1,1 160 | Norway,56,0,10,6,9,81 161 | Poland,686,17,"1,463",133,0,"2,299" 162 | Portugal,78,0,46,10,10,144 163 | Macau,7,0,134,0,10,151 164 | Romania,662,8,196,54,815,"1,735" 165 | Russia,"3,277",24,205,81,0,"3,587" 166 | San Marino,0,0,0,0,0,0 167 | Serbia,585,0,46,11,323,965 168 | Slovakia,47,0,12,19,62,140 169 | Slovenia,6,0,2,3,4,15 170 | Spain,215,7,20,19,47,308 171 | Western Sahara,0,0,0,0,0,0 172 | Sweden,142,0,28,19,47,236 173 | Switzerland,63,0,12,16,63,154 174 | Tajikistan,27,0,5,2,66,100 175 | Turkey,620,5,95,100,902,"1,722" 176 | Turkmenistan,27,0,3,0,77,107 177 | Ukraine,"1,465",3,290,47,"1,880","3,685" 178 | Uzbekistan,227,2,47,12,"2,243","2,531" 179 | Vatican City,0,0,0,0,0,0 180 | Region Total For Europe,"17,625",128,"4,356","1,465","14,183","37,757" 181 | North America,,,,,, 182 | Antigua and Barbuda,68,0,144,0,0,212 183 | Bahamas,64,0,42,2,5,113 184 | Barbados,77,0,65,6,2,150 185 | Belize,132,0,166,7,7,312 186 | Canada,"1,271",1,634,406,0,"2,312" 187 | Costa Rica,275,0,79,14,3,371 188 | Cuba,"2,551",9,"2,592",0,256,"5,408" 189 | Dominica,188,1,252,6,2,449 190 | Dominican Republic,"14,671",23,"8,649",21,0,"23,364" 191 | El Salvador,"3,647",0,"5,180",345,0,"9,172" 192 | Grenada,126,1,116,1,0,244 193 | Guatemala,"6,446",0,"1,975",138,16,"8,575" 194 | Haiti,"5,972",5,"9,004",16,0,"14,997" 195 | Honduras,"1,994",4,"1,332",123,14,"3,467" 196 | Jamaica,"4,513",1,"5,014",117,0,"9,645" 197 | Mexico,"64,376",0,"26,854",245,0,"91,475" 198 | Nicaragua,"1,368",9,801,14,14,"2,206" 199 | Panama,349,1,215,4,5,574 200 | Saint Kitts and Nevis,64,1,145,3,0,213 201 | Saint Lucia,186,0,110,5,2,303 202 | Saint Vincent and the Grenadines,99,0,115,5,0,219 203 | Trinidad and Tobago,775,7,773,34,46,"1,635" 204 | Region Total For North America,"109,212",63,"64,257","1,512",372,"175,416" 205 | Oceania,,,,,, 206 | Australia,400,6,40,33,205,684 207 | Christmas Island,0,0,0,0,0,0 208 | Cocos Islands,0,0,0,0,0,0 209 | Fiji,226,3,248,6,309,792 210 | Kiribati,3,0,0,0,2,5 211 | Marshall Islands,6,0,0,0,0,6 212 | "Micronesia, Federated States of",0,0,0,0,0,0 213 | Nauru,0,0,0,0,0,0 214 | New Zealand,153,0,34,13,103,303 215 | Cook Islands,0,0,0,0,0,0 216 | Niue,0,0,0,0,0,0 217 | Palau,3,0,0,0,0,3 218 | Papua New Guinea,3,0,2,0,2,7 219 | Samoa,20,0,5,1,9,35 220 | Solomon Islands,1,0,4,0,0,5 221 | Tonga,51,0,98,0,26,175 222 | Tuvalu,0,0,0,0,0,0 223 | Vanuatu,1,0,1,0,0,2 224 | Region Total for Oceania,867,9,432,53,656,"2,017" 225 | South America,,,,,, 226 | Argentina,274,3,62,43,40,422 227 | Bolivia,435,0,245,198,79,957 228 | Brazil,"1,317",3,162,158,0,"1,640" 229 | Chile,279,1,83,13,10,386 230 | Colombia,"4,344",19,"2,592",117,0,"7,072" 231 | Ecuador,"3,880",27,"2,532",371,89,"6,899" 232 | Guyana,"1,656",0,"3,539",15,4,"5,214" 233 | Paraguay,93,1,19,6,3,122 234 | Peru,"3,306",14,"2,270",171,0,"5,761" 235 | Suriname,38,0,43,2,2,85 236 | Uruguay,83,0,12,2,6,103 237 | Venezuela,692,6,226,43,121,"1,088" 238 | Region Total For South America,"16,397",74,"11,785","1,139",354,"29,749" 239 | Worldwide Grand Totals,"238,848","2,560","169,896","13,472","45,246","470,099" -------------------------------------------------------------------------------- /raw_data/FY09AnnualReport_TableIII.csv: -------------------------------------------------------------------------------- 1 | Foreign State,Immediate Relatives,Special Immigrants,Family Preference,Employment Preference,Diversity Immigrants,Total 2 | Africa,,,,,, 3 | Algeria,250,3,31,8,797,"1,089" 4 | Angola,18,0,16,1,12,47 5 | Benin,42,0,1,3,192,238 6 | Botswana,8,0,0,0,0,8 7 | Burkina Faso,23,0,1,0,90,114 8 | Burundi,11,0,0,0,21,32 9 | Cameroon,328,3,37,33,"1,496","1,897" 10 | Cape Verde,613,0,858,17,8,"1,496" 11 | Central African Republic,3,0,0,0,2,5 12 | Chad,4,0,0,2,10,16 13 | Comoros,0,0,0,0,2,2 14 | "Congo, Republic of the",123,1,27,13,596,760 15 | "Congo, Dem. Rep. of the",13,0,0,0,20,33 16 | Cote d'Ivoire,211,0,38,3,206,458 17 | Djibouti,19,0,2,0,11,32 18 | Egypt,"1,718",8,593,105,"3,638","6,062" 19 | Equatorial Guinea,3,0,0,0,0,3 20 | Eritrea,323,0,59,36,382,800 21 | Ethiopia,"5,004",4,510,30,"3,675","9,223" 22 | Gabon,12,0,0,0,3,15 23 | "Gambia, The",151,1,17,16,25,210 24 | Ghana,"1,601",3,279,33,"1,864","3,780" 25 | Guinea,126,0,8,8,86,228 26 | Guinea-Bissau,4,0,0,1,0,5 27 | Kenya,665,4,126,38,"2,301","3,134" 28 | Lesotho,3,0,0,0,0,3 29 | Liberia,494,1,152,12,814,"1,473" 30 | Libya,88,0,10,2,55,155 31 | Madagascar,14,0,5,0,27,46 32 | Malawi,23,0,2,0,10,35 33 | Mali,40,0,2,5,39,86 34 | Mauritania,22,0,1,1,8,32 35 | Mauritius,7,0,10,4,19,40 36 | Morocco,"1,308",1,224,70,"1,991","3,594" 37 | Mozambique,8,0,1,0,1,10 38 | Namibia,3,0,0,0,10,13 39 | Niger,9,0,6,8,17,40 40 | Nigeria,"4,467",8,"1,144",68,"3,240","8,927" 41 | Rwanda,30,0,0,0,31,61 42 | Sao Tome and Principe,1,0,3,0,0,4 43 | Senegal,361,1,55,30,158,605 44 | Seychelles,4,0,0,0,3,7 45 | Sierra Leone,411,2,68,8,543,"1,032" 46 | Somalia,519,2,28,0,70,619 47 | South Africa,309,3,56,78,277,723 48 | Sudan,533,0,36,0,585,"1,154" 49 | Swaziland,19,0,0,2,1,22 50 | Tanzania,92,1,48,9,128,278 51 | Togo,249,1,70,5,476,801 52 | Tunisia,110,0,13,4,47,174 53 | Uganda,239,0,61,3,165,468 54 | Zambia,83,0,12,3,28,126 55 | Zimbabwe,111,0,10,15,79,215 56 | Region Total For Africa,"20,830",47,"4,620",674,"24,259","50,430" 57 | Asia,,,,,, 58 | Afghanistan,581,680,343,18,46,"1,668" 59 | Bahrain,9,0,6,4,4,23 60 | Bangladesh,"4,630",2,"7,990",215,"2,657","15,494" 61 | Bhutan,5,0,0,0,5,10 62 | Brunei,0,0,2,0,0,2 63 | Burma,423,2,369,20,368,"1,182" 64 | Cambodia,"1,481",0,332,12,119,"1,944" 65 | China - mainland born,"10,534",27,"10,873","2,338",0,"23,772" 66 | China - Taiwan born,960,3,"1,673",284,213,"3,133" 67 | Hong Kong S.A.R,220,0,"1,023",24,23,"1,290" 68 | India,"13,019",142,"12,443",644,0,"26,248" 69 | Indonesia,364,4,177,33,101,679 70 | Iran,"2,626",17,"2,276",294,"1,103","6,316" 71 | Iraq,800,"2,828",467,23,48,"4,166" 72 | Israel,318,3,95,82,38,536 73 | Japan,"1,504",14,62,369,194,"2,143" 74 | Jordan,"1,869",6,"1,162",47,90,"3,174" 75 | "Korea, North",14,0,1,3,0,18 76 | "Korea, South","2,363",20,"1,059","1,593",0,"5,035" 77 | Kuwait,199,2,225,11,9,446 78 | Laos,101,0,79,5,1,186 79 | Lebanon,997,8,896,67,81,"2,049" 80 | Malaysia,150,1,77,52,27,307 81 | Maldives,1,0,0,0,0,1 82 | Mongolia,91,0,0,7,119,217 83 | Nepal,408,1,166,84,"1,592","2,251" 84 | Oman,8,0,1,0,1,10 85 | Pakistan,"5,914",47,"8,459",515,0,"14,935" 86 | Philippines,"19,100",128,"14,686","2,134",0,"36,048" 87 | Qatar,32,0,4,6,0,42 88 | Saudi Arabia,352,4,136,14,34,540 89 | Singapore,62,2,35,8,12,119 90 | Sri Lanka,233,2,122,57,530,944 91 | Syria,649,5,666,63,53,"1,436" 92 | Thailand,"1,042",3,210,47,43,"1,347" 93 | Timor-Leste,2,0,0,0,1,3 94 | United Arab Emirates,115,6,123,18,11,273 95 | Vietnam,"7,563",11,"12,435",24,0,"20,079" 96 | Yemen,"2,553",1,434,15,49,"3,052" 97 | Region Total For Asia,"81,292","3,969","79,107","9,130","7,572","181,118" 98 | Europe,,,,,, 99 | Albania,"1,434",0,159,24,"2,021","3,638" 100 | Andorra,2,0,0,0,0,2 101 | Armenia,449,2,95,21,936,"1,503" 102 | Austria,61,2,5,4,43,115 103 | Azerbaijan,122,5,46,1,215,389 104 | Belarus,202,2,44,11,772,"1,031" 105 | Belgium,62,1,3,14,38,118 106 | Bosnia and Herzegovina,343,1,22,0,57,423 107 | Bulgaria,463,8,57,20,728,"1,276" 108 | Croatia,78,0,11,5,33,127 109 | Cyprus,9,0,3,5,8,25 110 | Czech Republic,93,1,14,10,33,151 111 | Denmark,58,0,6,18,5,87 112 | Greenland,0,0,0,0,0,0 113 | Estonia,33,1,8,2,10,54 114 | Finland,62,0,1,5,22,90 115 | France,362,6,25,55,194,642 116 | French Guiana,4,0,6,0,0,10 117 | French Polynesia,4,0,0,0,0,4 118 | French Southern and Antarctic,,,,,, 119 | Lands,0,0,0,0,0,0 120 | Guadeloupe,12,0,5,0,0,17 121 | Martinique,3,0,6,0,1,10 122 | New Caledonia,2,0,0,0,0,2 123 | Reunion,0,0,0,0,1,1 124 | St. Pierre and Miquelon,0,0,0,0,0,0 125 | Wallis and Futuna,0,0,0,0,0,0 126 | Georgia,227,1,16,24,354,622 127 | Germany,"1,240",7,136,116,854,"2,353" 128 | Great Britain and Northern Ireland,"1,703",7,362,503,0,"2,575" 129 | Anguilla,1,0,6,0,0,7 130 | Bermuda,29,0,3,2,0,34 131 | British Virgin Islands,4,0,19,0,0,23 132 | Cayman Islands,6,0,4,0,0,10 133 | Falkland Islands,0,0,0,0,0,0 134 | Gibraltar,2,0,0,0,0,2 135 | Montserrat,4,0,9,0,0,13 136 | Pitcairn,0,0,0,0,0,0 137 | St. Helena,0,0,0,0,0,0 138 | Turks and Caicos Islands,4,0,6,0,0,10 139 | Greece,140,2,26,7,72,247 140 | Hungary,148,3,18,16,119,304 141 | Iceland,30,0,2,1,9,42 142 | Ireland,144,1,6,27,37,215 143 | Italy,346,7,66,58,136,613 144 | Kazakhstan,479,0,23,8,185,695 145 | Kosovo,434,0,27,0,50,511 146 | Kyrgyzstan,108,1,0,1,120,230 147 | Latvia,77,0,4,2,39,122 148 | Liechtenstein,3,0,0,0,0,3 149 | Lithuania,141,7,30,8,95,281 150 | Luxembourg,6,0,2,0,0,8 151 | Macedonia,387,0,130,7,203,727 152 | Malta,14,0,0,4,0,18 153 | Moldova,138,1,28,5,264,436 154 | Monaco,0,0,0,0,0,0 155 | Montenegro,143,0,51,0,3,197 156 | Netherlands,150,1,24,17,86,278 157 | Aruba,4,0,0,0,4,8 158 | Netherlands Antilles,21,0,19,0,12,52 159 | Northern Ireland (DV only),0,0,0,0,13,13 160 | Norway,55,0,5,2,10,72 161 | Poland,746,25,"1,135",122,0,"2,028" 162 | Portugal,100,1,39,18,11,169 163 | Macau,13,0,50,0,1,64 164 | Romania,733,10,241,50,310,"1,344" 165 | Russia,"3,158",21,194,134,0,"3,507" 166 | San Marino,0,0,0,0,0,0 167 | Serbia,259,1,43,4,196,503 168 | Slovakia,67,0,10,12,41,130 169 | Slovenia,15,0,0,0,6,21 170 | Spain,229,9,15,35,65,353 171 | Western Sahara,0,0,0,0,0,0 172 | Sweden,127,5,24,21,43,220 173 | Switzerland,93,0,5,14,88,200 174 | Tajikistan,28,0,6,1,73,108 175 | Turkey,578,7,126,198,931,"1,840" 176 | Turkmenistan,29,0,2,4,56,91 177 | Ukraine,"1,690",12,238,47,"1,685","3,672" 178 | Uzbekistan,225,3,45,15,"2,365","2,653" 179 | Vatican City,0,0,0,0,0,0 180 | Region Total For Europe,"18,136",161,"3,711","1,678","13,653","37,339" 181 | North America,,,,,, 182 | Antigua and Barbuda,99,0,102,0,1,202 183 | Bahamas,50,0,36,0,0,86 184 | Barbados,86,1,117,1,2,207 185 | Belize,148,1,115,0,5,269 186 | Canada,"1,036",10,461,365,0,"1,872" 187 | Costa Rica,289,0,52,11,1,353 188 | Cuba,"3,085",15,777,0,190,"4,067" 189 | Dominica,198,0,236,0,18,452 190 | Dominican Republic,"17,294",17,"23,478",35,0,"40,824" 191 | El Salvador,"4,984",2,"4,969",223,0,"10,178" 192 | Grenada,125,0,93,0,0,218 193 | Guatemala,"3,083",1,"1,940",107,0,"5,131" 194 | Haiti,"7,389",11,"6,641",19,0,"14,060" 195 | Honduras,"1,528",4,"1,044",72,8,"2,656" 196 | Jamaica,"6,805",3,"4,251",82,0,"11,141" 197 | Mexico,"42,042",1,"32,351",375,0,"74,769" 198 | Nicaragua,"1,409",4,730,3,19,"2,165" 199 | Panama,387,3,166,5,6,567 200 | Saint Kitts and Nevis,74,0,105,0,2,181 201 | Saint Lucia,152,0,144,4,4,304 202 | Saint Vincent and the Grenadines,107,0,95,0,1,203 203 | Trinidad and Tobago,762,7,707,24,69,"1,569" 204 | Region Total For North America,"91,132",80,"78,610","1,326",326,"171,474" 205 | Oceania,,,,,, 206 | Australia,366,2,35,26,173,602 207 | Christmas Island,1,0,0,0,0,1 208 | Cocos Islands,0,0,0,0,0,0 209 | Fiji,357,2,255,2,290,906 210 | Kiribati,1,0,0,0,2,3 211 | Marshall Islands,25,0,0,0,0,25 212 | "Micronesia, Federated States of",0,0,0,0,0,0 213 | Nauru,0,0,0,0,0,0 214 | New Zealand,150,3,12,12,66,243 215 | Cook Islands,0,0,0,0,0,0 216 | Niue,0,0,0,0,0,0 217 | Palau,2,0,2,0,0,4 218 | Papua New Guinea,2,0,0,0,12,14 219 | Samoa,37,0,5,1,2,45 220 | Solomon Islands,0,0,0,0,0,0 221 | Tonga,44,1,49,0,27,121 222 | Tuvalu,1,0,0,0,0,1 223 | Vanuatu,4,0,0,0,0,4 224 | Region Total for Oceania,990,8,358,41,572,"1,969" 225 | South America,,,,,, 226 | Argentina,233,1,58,40,53,385 227 | Bolivia,421,0,177,178,50,826 228 | Brazil,1373,3,128,192,0,"1,696" 229 | Chile,259,3,65,8,23, 230 | Colombia,3840,24,"2,014",132,0,358 231 | Ecuador,3325,9,"2,551",218,0,"6,103" 232 | Guyana,1659,0,"2,677",4,17,"4,357" 233 | Paraguay,88,0,7,1,1,97 234 | Peru,2945,16,"1,915",134,0,"5,010" 235 | Suriname,16,0,40,0,1,57 236 | Uruguay,70,1,15,11,7,104 237 | Venezuela,908,3,220,79,227,"1,437" 238 | Region Total For South America,15137,60,"9,867",997,379,"26,440" 239 | Worldwide Grand Totals,227517,"4,325","176,273","13,846","46,761","468,770" -------------------------------------------------------------------------------- /raw_data/FY10AnnualReport-TableIII.csv: -------------------------------------------------------------------------------- 1 | Foreign State,Immediate Relatives,Special Immigrants,Family Preference,Employment Preference,Diversity Immigrants,Total 2 | Africa,,,,,, 3 | Algeria,226,0,34,1,795,"1,056" 4 | Angola,16,0,9,1,4,30 5 | Benin,30,0,7,2,220,259 6 | Botswana,2,0,0,2,9,13 7 | Burkina Faso,22,0,13,16,103,154 8 | Burundi,12,0,4,2,40,58 9 | Cameroon,444,4,93,7,"1,556","2,104" 10 | Cape Verde,418,0,756,12,0,"1,186" 11 | Central African Republic,10,0,0,1,11,22 12 | Chad,3,0,0,0,6,9 13 | Comoros,0,0,0,0,3,3 14 | "Congo, Republic of the",11,0,0,7,33,51 15 | "Congo, Dem. Rep. of the",162,0,21,5,915,"1,103" 16 | Cote d'Ivoire,142,0,26,2,222,392 17 | Djibouti,11,1,0,7,9,28 18 | Egypt,"2,113",15,786,190,"3,231","6,335" 19 | Equatorial Guinea,5,0,0,0,2,7 20 | Eritrea,329,0,58,26,367,780 21 | Ethiopia,"5,100",9,811,67,"3,752","9,739" 22 | Gabon,17,0,2,0,5,24 23 | "Gambia, The",175,0,47,12,14,248 24 | Ghana,"1,794",7,574,32,"2,606","5,013" 25 | Guinea,130,0,29,0,268,427 26 | Guinea-Bissau,11,0,2,2,0,15 27 | Kenya,660,1,207,44,"2,367","3,279" 28 | Lesotho,14,0,0,0,1,15 29 | Liberia,603,4,166,9,841,"1,623" 30 | Libya,98,0,22,0,52,172 31 | Madagascar,15,0,3,3,15,36 32 | Malawi,18,1,5,3,14,41 33 | Mali,54,0,18,25,32,129 34 | Mauritania,21,0,7,14,2,44 35 | Mauritius,3,0,11,0,20,34 36 | Morocco,"1,399",4,293,22,"1,763","3,481" 37 | Mozambique,18,0,3,0,3,24 38 | Namibia,8,0,1,0,0,9 39 | Niger,9,0,2,6,19,36 40 | Nigeria,"4,194",41,"1,451",105,"2,809","8,600" 41 | Rwanda,58,0,1,1,64,124 42 | Sao Tome and Principe,3,0,1,0,0,4 43 | Senegal,345,0,70,32,123,570 44 | Seychelles,4,0,0,0,0,4 45 | Sierra Leone,573,1,94,33,307,"1,008" 46 | Somalia,564,5,44,6,71,690 47 | South Africa,311,2,69,84,278,744 48 | Sudan,613,2,39,10,553,"1,217" 49 | Swaziland,10,0,0,0,0,10 50 | Tanzania,129,1,95,9,56,290 51 | Togo,374,0,95,5,505,979 52 | Tunisia,135,0,15,2,62,214 53 | Uganda,192,0,60,8,143,403 54 | Zambia,68,0,17,2,38,125 55 | Zimbabwe,96,0,29,13,53,191 56 | Region Total For Africa,"21,772",98,"6,090",830,"24,362","53,152" 57 | Asia,,,,,, 58 | Afghanistan,477,111,204,27,60,879 59 | Bahrain,12,0,12,0,0,24 60 | Bangladesh,"4,132",6,"5,922",212,"3,015","13,287" 61 | Bhutan,16,0,2,3,0,21 62 | Brunei,1,0,2,1,0,4 63 | Burma,381,2,500,21,281,"1,185" 64 | Cambodia,"1,026",1,419,20,132,"1,598" 65 | China - mainland born,"13,245",25,"14,161","2,994",0,"30,425" 66 | China - Taiwan born,853,11,"1,674",175,196,"2,909" 67 | Hong Kong S.A.R,214,2,"1,253",18,16,"1,503" 68 | India,"12,039",126,"15,399",904,0,"28,468" 69 | Indonesia,352,10,308,27,103,800 70 | Iran,"3,053",9,"2,881",272,"1,842","8,057" 71 | Iraq,540,"2,035",318,19,37,"2,949" 72 | Israel,287,3,126,64,25,505 73 | Japan,"1,473",11,82,234,169,"1,969" 74 | Jordan,"1,644",8,"1,138",39,70,"2,899" 75 | "Korea, North",9,0,3,0,0,12 76 | "Korea, South","2,018",22,"1,638",953,0,"4,631" 77 | Kuwait,170,4,185,8,29,396 78 | Laos,106,1,111,4,3,225 79 | Lebanon,921,16,907,72,43,"1,959" 80 | Malaysia,163,3,114,31,37,348 81 | Maldives,0,0,0,0,0,0 82 | Mongolia,74,0,6,9,103,192 83 | Nepal,642,2,331,199,"1,902","3,076" 84 | Oman,11,0,3,1,2,17 85 | Pakistan,"5,161",42,"5,651",463,0,"11,317" 86 | Philippines,"16,537",128,"19,636","1,093",0,"37,394" 87 | Qatar,38,0,20,1,0,59 88 | Saudi Arabia,294,0,147,8,27,476 89 | Singapore,69,0,51,14,8,142 90 | Sri Lanka,291,2,170,43,419,925 91 | Syria,591,6,802,47,32,"1,478" 92 | Thailand,985,5,336,47,23,"1,396" 93 | Timor-Leste,0,0,0,0,0,0 94 | United Arab Emirates,156,4,114,9,4,287 95 | Vietnam,"7,038",10,"20,412",74,0,"27,557" 96 | Yemen,"1,920",3,448,12,33,"2,416" 97 | Region Total For Asia,"76,939","2,608","95,486","8,118","8,611","191,785" 98 | Europe,,,,,, 99 | Albania,"1,525",1,315,40,"1,632","3,513" 100 | Andorra,0,0,1,0,0,1 101 | Armenia,398,3,158,34,980,"1,573" 102 | Austria,66,1,0,8,51,126 103 | Azerbaijan,112,0,56,5,197,370 104 | Belarus,213,4,83,15,716,"1,031" 105 | Belgium,56,1,9,14,38,118 106 | Bosnia and Herzegovina,261,0,25,5,35,326 107 | Bulgaria,457,6,121,36,547,"1,167" 108 | Croatia,66,0,17,8,25,116 109 | Cyprus,29,0,4,2,6,41 110 | Czech Republic,80,2,3,10,37,132 111 | Denmark,71,1,13,9,23,117 112 | Greenland,0,0,0,0,0,0 113 | Estonia,45,1,9,0,10,65 114 | Finland,60,0,4,5,32,101 115 | France,445,1,69,73,237,825 116 | French Guiana,1,0,1,0,0,2 117 | French Polynesia,2,0,0,0,0,2 118 | French Southern and Antarctic,,,,,, 119 | Lands,0,0,0,0,0,0 120 | Guadeloupe,1,0,2,0,0,3 121 | Martinique,0,0,0,0,0,0 122 | New Caledonia,0,0,0,0,0,0 123 | Reunion,0,0,0,0,0,0 124 | St. Pierre and Miquelon,0,0,0,0,0,0 125 | Wallis and Futuna,0,0,0,0,0,0 126 | Georgia,322,5,29,21,438,815 127 | Germany,"1,311",13,149,108,882,"2,463" 128 | Great Britain and Northern Ireland,"1,670",7,472,323,0,"2,472" 129 | Anguilla,6,0,3,0,0,9 130 | Bermuda,16,0,4,0,0,20 131 | British Virgin Islands,12,0,10,0,0,22 132 | Cayman Islands,11,0,3,0,0,14 133 | Falkland Islands,0,0,0,0,0,0 134 | Gibraltar,1,0,2,0,0,3 135 | Montserrat,5,0,1,0,0,6 136 | Pitcairn,0,0,0,0,0,0 137 | St. Helena,0,0,0,0,0,0 138 | Turks and Caicos Islands,3,0,4,0,0,7 139 | Greece,154,4,27,10,41,236 140 | Hungary,123,1,42,15,61,242 141 | Iceland,17,0,1,6,30,54 142 | Ireland,213,1,6,13,54,287 143 | Italy,322,8,69,49,135,583 144 | Kazakhstan,346,0,59,12,189,606 145 | Kosovo,410,0,37,0,89,536 146 | Kyrgyzstan,112,0,26,3,129,270 147 | Latvia,83,0,17,1,35,136 148 | Liechtenstein,0,0,0,0,0,0 149 | Lithuania,86,8,60,5,119,278 150 | Luxembourg,1,0,3,0,0,4 151 | Macedonia,326,2,145,8,148,629 152 | Malta,2,0,2,0,4,8 153 | Moldova,127,0,42,10,370,549 154 | Monaco,2,0,0,0,0,2 155 | Montenegro,107,0,45,4,10,166 156 | Netherlands,134,1,25,21,60,241 157 | Aruba,6,0,1,0,0,7 158 | Netherlands Antilles,11,0,11,2,0,24 159 | Northern Ireland (DV only),0,0,0,0,10,10 160 | Norway,77,1,7,9,12,106 161 | Poland,676,15,"1,329",115,0,"2,135" 162 | Portugal,84,0,47,14,8,153 163 | Macau,13,0,74,2,7,96 164 | Romania,629,18,300,35,320,"1,302" 165 | Russia,"2,580",19,366,136,"1,004","4,105" 166 | San Marino,0,0,0,0,0,0 167 | Serbia,228,1,72,10,152,463 168 | Slovakia,53,0,11,1,38,103 169 | Slovenia,14,1,1,0,4,20 170 | Spain,319,10,40,15,73,457 171 | Western Sahara,0,0,0,0,0,0 172 | Sweden,177,0,28,22,43,270 173 | Switzerland,63,1,13,15,66,158 174 | Tajikistan,29,1,18,14,110,172 175 | Turkey,555,1,159,120,973,"1,808" 176 | Turkmenistan,18,0,7,4,63,92 177 | Ukraine,"1,614",1,450,55,"1,772","3,892" 178 | Uzbekistan,248,5,101,19,"3,324","3,697" 179 | Vatican City,0,0,0,0,0,0 180 | Region Total For Europe,"17,204",145,"5,208","1,461","15,339","39,357" 181 | North America,,,,,, 182 | Antigua and Barbuda,78,1,84,1,6,170 183 | Bahamas,69,0,44,1,13,127 184 | Barbados,64,1,79,3,10,157 185 | Belize,143,1,123,1,2,270 186 | Canada,"1,083",2,484,366,0,"1,935" 187 | Costa Rica,303,0,87,16,17,423 188 | Cuba,"2,743",6,476,0,140,"3,365" 189 | Dominica,187,1,271,2,15,476 190 | Dominican Republic,"13,080",25,"30,482",28,0,"43,615" 191 | El Salvador,"4,316",3,"6,200",200,0,"10,719" 192 | Grenada,104,0,152,0,2,258 193 | Guatemala,"2,099",2,"2,197",110,0,"4,408" 194 | Haiti,"7,206",22,"8,639",20,0,"15,887" 195 | Honduras,"2,016",8,"1,372",129,19,"3,544" 196 | Jamaica,"5,193",5,"4,964",85,0,"10,247" 197 | Mexico,"43,340",0,"22,005",276,0,"65,621" 198 | Nicaragua,"1,156",0,931,12,16,"2,115" 199 | Panama,288,3,169,3,15,478 200 | Saint Kitts and Nevis,62,0,142,0,1,205 201 | Saint Lucia,151,0,130,4,5,290 202 | Saint Vincent and the Grenadines,116,0,100,3,5,224 203 | Trinidad and Tobago,752,5,737,32,91,"1,617" 204 | Region Total For North America,"84,549",85,"79,868","1,292",357,"166,151" 205 | Oceania,,,,,, 206 | Australia,369,5,35,42,238,689 207 | Christmas Island,0,0,0,0,0,0 208 | Cocos Islands,0,0,0,0,0,0 209 | Fiji,300,4,435,0,232,971 210 | Kiribati,1,0,0,0,0,1 211 | Marshall Islands,19,0,0,0,0,19 212 | "Micronesia, Federated States of",0,0,0,0,0,0 213 | Nauru,0,0,0,0,0,0 214 | New Zealand,164,8,30,22,70,294 215 | Cook Islands,0,0,0,0,0,0 216 | Niue,0,0,0,0,0,0 217 | Palau,6,0,0,0,0,6 218 | Papua New Guinea,6,0,0,0,7,13 219 | Samoa,33,0,4,0,5,42 220 | Solomon Islands,1,0,0,0,0,1 221 | Tonga,36,1,59,0,20,116 222 | Tuvalu,0,0,0,0,0,0 223 | Vanuatu,0,0,0,0,0,0 224 | Region Total for Oceania,935,18,563,64,572,"2,152" 225 | South America,,,,,, 226 | Argentina,218,4,68,41,61,392 227 | Bolivia,435,0,192,66,72,765 228 | Brazil,"1,240",5,201,155,0,"1,601" 229 | Chile,263,7,101,13,11,395 230 | Colombia,"4,070",33,"2,840",107,0,"7,050" 231 | Ecuador,"2,864",10,"3,201",308,0,"6,383" 232 | Guyana,"1,517",0,"3,631",11,26,"5,185" 233 | Paraguay,76,0,12,3,16,107 234 | Peru,"2,810",22,"2,658",108,0,"5,598" 235 | Suriname,37,0,43,1,0,81 236 | Uruguay,59,0,12,14,5,90 237 | Venezuela,959,8,393,109,339,"1,808" 238 | Region Total For South America,"14,548",89,"13,352",936,530,"29,455" 239 | Worldwide Grand Totals,"215,947","3,043","200,567","12,701","49,771","482,052" -------------------------------------------------------------------------------- /raw_data/FY11AnnualReport-Table III.csv: -------------------------------------------------------------------------------- 1 | Foreign State,Immediate Relatives,Special Immigrants,Family Preference,Employment Preference,Diversity Immigrants,Total 2 | Africa,,,,,, 3 | Algeria,282,1,53,8,846,"1,190" 4 | Angola,24,0,14,0,14,52 5 | Benin,33,0,5,3,213,254 6 | Botswana,10,0,3,1,3,17 7 | Burkina Faso,46,0,7,16,105,174 8 | Burundi,14,0,0,0,25,39 9 | Cameroon,494,4,176,8,"1,666","2,348" 10 | Cape Verde,467,0,787,0,10,"1,264" 11 | Central African Republic,11,0,2,5,2,20 12 | Chad,9,1,0,1,16,27 13 | Comoros,0,0,0,0,1,1 14 | "Congo, Rep. of the",24,0,6,0,44,74 15 | "Congo, Dem. Rep. of the",250,0,62,6,"1,516","1,834" 16 | Cote d'Ivoire,178,1,57,6,290,532 17 | Djibouti,18,0,0,1,18,37 18 | Egypt,"1,574",18,765,111,"3,242","5,710" 19 | Equatorial Guinea,1,0,0,0,0,1 20 | Eritrea,293,1,95,17,381,787 21 | Ethiopia,"4,509",4,"1,134",73,"3,529","9,249" 22 | Gabon,6,0,4,0,6,16 23 | "Gambia, The",196,0,60,15,13,284 24 | Ghana,"1,640",11,793,39,"2,438","4,921" 25 | Guinea,184,0,74,11,185,454 26 | Guinea-Bissau,12,0,3,0,1,16 27 | Kenya,545,1,228,40,"1,856","2,670" 28 | Lesotho,12,0,2,0,0,14 29 | Liberia,682,1,329,14,996,"2,022" 30 | Libya,154,0,12,1,31,198 31 | Madagascar,16,0,4,5,12,37 32 | Malawi,20,0,9,3,10,42 33 | Mali,68,0,26,21,18,133 34 | Mauritania,38,0,21,0,11,70 35 | Mauritius,10,0,1,1,24,36 36 | Morocco,"1,508",5,302,17,982,"2,814" 37 | Mozambique,12,0,3,0,0,15 38 | Namibia,7,0,0,3,3,13 39 | Niger,18,0,3,9,19,49 40 | Nigeria,"3,774",36,"1,196",123,"2,787","7,916" 41 | Rwanda,73,0,3,0,63,139 42 | Sao Tome and Principe,4,0,0,0,0,4 43 | Senegal,362,0,115,46,126,649 44 | Seychelles,3,0,4,0,0,7 45 | Sierra Leone,605,0,145,25,315,"1,090" 46 | Somalia,594,3,46,3,52,698 47 | South Africa,353,16,78,53,266,766 48 | South Sudan,0,0,0,0,0,0 49 | Sudan,497,1,81,11,565,"1,155" 50 | Swaziland,5,0,0,0,1,6 51 | Tanzania,114,0,58,5,66,243 52 | Togo,408,1,91,6,524,"1,030" 53 | Tunisia,189,3,16,5,40,253 54 | Uganda,344,1,58,3,200,606 55 | Zambia,90,0,21,15,43,169 56 | Zimbabwe,107,2,35,10,72,226 57 | Region Total For Africa,"20,887",111,"6,987",740,"23,646","52,371" 58 | Asia,,,,,, 59 | Afghanistan,448,121,173,22,25,789 60 | Bahrain,22,0,16,1,2,41 61 | Bangladesh,"4,679",5,"7,161",100,"3,074","15,019" 62 | Bhutan,2,0,0,1,4,7 63 | Brunei,3,0,0,0,0,3 64 | Burma,530,0,550,21,250,"1,351" 65 | Cambodia,"1,167",2,397,17,167,"1,750" 66 | China - mainland born,"14,497",36,"16,989","4,076",0,"35,598" 67 | #NAME?,713,11,"1,117",201,191,"2,233" 68 | Hong Kong S.A.R,232,0,859,30,20,"1,141" 69 | India,"12,067",132,"11,437",650,0,"24,286" 70 | Indonesia,453,2,165,23,66,709 71 | Iran,"2,625",14,"2,293",411,"1,980","7,323" 72 | Iraq,573,704,251,25,57,"1,610" 73 | Israel,422,10,78,73,28,611 74 | Japan,"1,446",8,68,243,145,"1,910" 75 | Jordan,"1,929",7,"1,205",36,84,"3,261" 76 | "Korea, North",4,0,0,0,0,4 77 | "Korea, South","1,892",42,"1,181","2,153",0,"5,268" 78 | Kuwait,186,0,183,9,21,399 79 | Laos,103,2,56,1,0,162 80 | Lebanon,968,15,810,75,52,"1,920" 81 | Malaysia,178,4,160,28,39,409 82 | Maldives,1,0,0,0,0,1 83 | Mongolia,81,1,14,14,203,313 84 | Nepal,836,7,304,160,"1,970","3,277" 85 | Oman,7,0,3,0,0,10 86 | Pakistan,"4,961",27,"4,872",332,0,"10,192" 87 | Philippines,"15,436",130,"17,280","1,856",0,"34,702" 88 | Qatar,36,0,14,0,0,50 89 | Saudi Arabia,346,1,109,12,39,507 90 | Singapore,86,0,31,14,11,142 91 | Sri Lanka,265,3,208,65,317,858 92 | Syria,771,6,716,85,63,"1,641" 93 | Thailand,"1,030",4,290,44,28,"1,396" 94 | Timor-Leste,1,0,0,0,0,1 95 | United Arab Emirates,163,3,99,10,19,294 96 | Vietnam,"9,401",27,"17,464",105,0,"27,032" 97 | Yemen,"1,916",0,795,10,40,"2,761" 98 | Region Total For Asia,"80,476","1,324","87,348","10,903","8,895","188,981" 99 | Europe,,,,,, 100 | Albania,"1,444",7,233,33,954,"2,671" 101 | Andorra,0,0,0,0,0,0 102 | Armenia,440,2,149,30,990,"1,611" 103 | Austria,58,1,8,15,60,142 104 | Azerbaijan,146,3,46,16,220,431 105 | Belarus,236,1,65,15,665,982 106 | Belgium,89,0,12,8,15,124 107 | Bosnia and Herzegovina,250,1,17,6,28,302 108 | Bulgaria,526,10,82,22,624,"1,264" 109 | Croatia,67,1,9,2,17,96 110 | Cyprus,21,0,4,0,2,27 111 | Czech Republic,97,1,10,3,27,138 112 | Denmark,72,2,4,13,12,103 113 | Faroe Islands,0,0,0,0,0,0 114 | Greenland,1,0,0,0,0,1 115 | Estonia,29,0,7,1,19,56 116 | Finland,58,0,1,1,34,94 117 | France,463,7,113,73,223,879 118 | French Guiana,0,0,0,0,0,0 119 | French Polynesia,7,0,0,2,0,9 120 | French Southern and Antarctic Lands,0,0,0,0,0,0 121 | Guadeloupe,0,0,0,0,0,0 122 | Martinique,0,0,0,0,0,0 123 | Mayotte,0,0,0,0,0,0 124 | New Caledonia,0,0,0,0,0,0 125 | Reunion,0,0,0,0,0,0 126 | St. Barthelemy,0,0,0,0,0,0 127 | Saint Martin,0,0,0,0,0,0 128 | St. Pierre and Miquelon,0,0,0,0,0,0 129 | Wallis and Futuna,0,0,0,0,0,0 130 | Georgia,358,3,36,7,453,857 131 | Germany,"1,271",13,119,83,804,"2,290" 132 | Great Britain and Northern Ireland,"1,665",19,503,345,0,"2,532" 133 | Anguilla,2,0,16,0,0,18 134 | Bermuda,15,0,4,2,0,21 135 | British Indian Ocean Territory,0,0,0,0,0,0 136 | British Virgin Islands,5,0,9,0,0,14 137 | Cayman Islands,5,0,8,0,0,13 138 | Falkland Islands,0,0,0,0,0,0 139 | Gibraltar,1,0,0,0,0,1 140 | Montserrat,2,0,4,0,0,6 141 | Pitcairn,0,0,0,0,0,0 142 | St. Helena,1,0,0,0,0,1 143 | South Georgia and the South Sandwich Islands,0,0,0,0,0,0 144 | Turks and Caicos Islands,3,0,11,0,0,14 145 | Greece,295,5,47,8,39,394 146 | Hungary,153,2,14,25,118,312 147 | Iceland,18,2,0,0,11,31 148 | Ireland,210,0,8,12,76,306 149 | Italy,368,3,62,33,144,610 150 | Kazakhstan,279,0,41,14,224,558 151 | Kosovo,419,0,51,12,80,562 152 | Kyrgyzstan,113,0,20,0,142,275 153 | Latvia,105,1,7,1,68,182 154 | Liechtenstein,0,0,0,0,1,1 155 | Lithuania,128,1,33,4,161,327 156 | Luxembourg,4,0,1,0,1,6 157 | Macedonia,321,3,174,11,175,684 158 | Malta,5,1,0,0,0,6 159 | Moldova,181,5,57,9,563,815 160 | Monaco,1,0,0,0,0,1 161 | Montenegro,121,0,38,0,2,161 162 | Netherlands,168,0,17,22,41,248 163 | Aruba,7,0,2,0,1,10 164 | Curacao,2,0,3,0,1,6 165 | Netherlands Antilles,3,0,3,1,0,7 166 | Sint Maarten,10,0,8,0,0,18 167 | Northern Ireland (DV only),0,0,0,0,15,15 168 | Norway,69,1,8,11,11,100 169 | Svalbard,0,0,0,0,0,0 170 | Poland,705,13,863,65,0,"1,646" 171 | Portugal,106,3,50,27,9,195 172 | Macau,11,0,44,0,1,56 173 | Romania,735,25,204,36,433,"1,433" 174 | Russia,"2,638",40,350,137,"1,443","4,608" 175 | San Marino,0,0,0,0,0,0 176 | Serbia,201,0,56,17,149,423 177 | Slovakia,72,3,15,3,33,126 178 | Slovenia,3,0,3,0,2,8 179 | Spain,372,6,53,14,72,517 180 | Western Sahara,0,0,0,0,0,0 181 | Sweden,153,0,19,12,28,212 182 | Switzerland,97,1,7,15,63,183 183 | Tajikistan,33,0,8,21,169,231 184 | Turkey,606,8,146,124,863,"1,747" 185 | Turkmenistan,34,0,10,3,81,128 186 | Ukraine,"1,935",7,489,42,"1,637","4,110" 187 | Uzbekistan,269,3,114,17,"3,579","3,982" 188 | Vatican City,0,0,0,0,0,0 189 | Region Total For Europe,"18,282",204,"4,495","1,373","15,583","39,937" 190 | North America,,,,,, 191 | Antigua and Barbuda,73,0,91,1,1,166 192 | "Bahamas, The",76,0,47,3,2,128 193 | Barbados,64,1,72,4,5,146 194 | Belize,134,0,131,0,8,273 195 | Canada,"1,425",2,480,287,0,"2,194" 196 | Costa Rica,350,0,87,10,11,458 197 | Cuba,"2,223",4,610,0,230,"3,067" 198 | Dominica,159,0,247,1,5,412 199 | Dominican Republic,"14,697",31,"21,395",22,0,"36,145" 200 | El Salvador,"4,742",6,"6,355",133,0,"11,236" 201 | Grenada,126,0,103,0,2,231 202 | Guatemala,"2,060",7,"2,811",101,0,"4,979" 203 | Haiti,"7,717",36,"7,384",14,0,"15,151" 204 | Honduras,"1,468",3,"1,249",84,26,"2,830" 205 | Jamaica,"5,697",4,"5,409",66,0,"11,176" 206 | Mexico,"36,237",0,"32,881",414,0,"69,532" 207 | Nicaragua,"1,201",5,770,4,22,"2,002" 208 | Panama,289,4,179,11,5,488 209 | Saint Kitts and Nevis,58,0,151,0,0,209 210 | Saint Lucia,147,0,133,1,6,287 211 | Saint Vincent and the Grenadines,121,0,91,1,2,215 212 | Trinidad and Tobago,809,2,702,27,43,"1,583" 213 | Region Total For North America,"79,873",105,"81,378","1,184",368,"162,908" 214 | Oceania,,,,,, 215 | Australia,415,8,41,22,239,725 216 | Christmas Island,0,0,0,0,0,0 217 | Cocos Islands,0,0,0,0,0,0 218 | Norfolk Island,0,0,0,0,0,0 219 | Fiji,251,4,245,8,166,674 220 | Kiribati,1,0,0,0,0,1 221 | Marshall Islands,20,0,0,0,0,20 222 | "Micronesia, Federated States of",1,0,0,0,0,1 223 | Nauru,0,0,0,0,6,6 224 | New Zealand,152,6,26,15,81,280 225 | Cook Islands,1,0,0,0,0,1 226 | Niue,0,0,0,0,0,0 227 | Tokelau,0,0,0,0,0,0 228 | Palau,3,0,0,0,0,3 229 | Papua New Guinea,3,1,2,0,1,7 230 | Samoa,24,0,3,0,3,30 231 | Solomon Islands,1,0,0,0,0,1 232 | Tonga,67,1,63,0,9,140 233 | Tuvalu,0,0,0,0,0,0 234 | Vanuatu,2,0,0,0,0,2 235 | Region Total for Oceania,941,20,380,45,505,"1,891" 236 | South America,,,,,, 237 | Argentina,299,2,45,55,37,438 238 | Bolivia,384,0,217,75,28,704 239 | Brazil,"1,491",12,254,111,0,"1,868" 240 | Chile,266,6,47,9,11,339 241 | Colombia,"4,807",22,"3,036",60,0,"7,925" 242 | Ecuador,"3,205",20,"2,798",294,0,"6,317" 243 | Guyana,"1,828",0,"3,069",14,23,"4,934" 244 | Paraguay,120,0,32,4,4,160 245 | Peru,"2,880",32,"2,308",124,0,"5,344" 246 | Suriname,26,0,43,0,0,69 247 | Uruguay,73,0,20,4,1,98 248 | Venezuela,"1,018",3,434,104,406,"1,965" 249 | Region Total For South America,"16,397",97,"12,303",854,510,"30,161" 250 | Worldwide Grand Totals,"216,856","1,861","192,891","15,099","49,507","476,249" -------------------------------------------------------------------------------- /raw_data/FY12AnnualReport-TableIII.csv: -------------------------------------------------------------------------------- 1 | Foreign State,Immediate Relatives,Special Immigrants,Family Preference,Employment Preference,Diversity Immigrants,Total 2 | Africa,,,,,, 3 | Algeria,352,0,44,5,341,742 4 | Angola,21,0,22,0,7,50 5 | Benin,44,1,7,1,82,135 6 | Botswana,9,0,0,0,0,9 7 | Burkina Faso,69,0,13,1,100,183 8 | Burundi,20,0,3,0,11,34 9 | Cameroon,632,3,165,6,813,"1,619" 10 | Cape Verde,563,0,735,7,0,"1,305" 11 | Central African Republic,5,0,3,0,0,8 12 | Chad,10,0,12,0,3,25 13 | Comoros,2,0,0,0,0,2 14 | "Congo, Rep. of the",22,1,8,0,11,42 15 | "Congo, Dem. Rep. of the",411,1,104,6,"1,219","1,741" 16 | Cote d'Ivoire,376,2,96,21,152,647 17 | Djibouti,21,0,1,0,8,30 18 | Egypt,"3,125",33,724,132,"2,004","6,018" 19 | Equatorial Guinea,5,0,0,0,0,5 20 | Eritrea,470,0,98,26,142,736 21 | Ethiopia,"5,695",10,"1,156",25,"1,416","8,302" 22 | Gabon,18,0,3,0,8,29 23 | "Gambia, The",265,1,49,24,10,349 24 | Ghana,"4,597",13,836,69,"1,677","7,192" 25 | Guinea,276,0,121,11,113,521 26 | Guinea-Bissau,15,0,1,0,0,16 27 | Kenya,993,1,232,40,711,"1,977" 28 | Lesotho,7,0,0,0,4,11 29 | Liberia,851,6,351,18,783,"2,009" 30 | Libya,79,2,21,0,32,134 31 | Madagascar,12,0,1,7,2,22 32 | Malawi,21,0,3,2,1,27 33 | Mali,90,0,37,16,17,160 34 | Mauritania,53,0,36,4,3,96 35 | Mauritius,10,0,0,0,5,15 36 | Morocco,"1,544",2,292,24,368,"2,230" 37 | Mozambique,16,0,6,0,2,24 38 | Namibia,7,0,0,0,2,9 39 | Niger,37,0,10,2,2,51 40 | Nigeria,"5,311",38,"1,712",135,"1,850","9,046" 41 | Rwanda,59,0,7,0,41,107 42 | Sao Tome and Principe,5,0,2,0,0,7 43 | Senegal,531,0,143,17,48,739 44 | Seychelles,1,0,0,0,1,2 45 | Sierra Leone,504,1,172,14,283,974 46 | Somalia,784,0,108,1,28,921 47 | South Africa,300,21,59,71,211,662 48 | South Sudan,18,0,0,0,0,18 49 | Sudan,777,3,78,5,304,"1,167" 50 | Swaziland,7,0,3,0,0,10 51 | Tanzania,143,0,43,13,51,250 52 | Togo,547,4,111,6,279,947 53 | Tunisia,184,3,9,3,22,221 54 | Uganda,425,5,73,6,104,613 55 | Zambia,79,0,21,3,13,116 56 | Zimbabwe,75,0,27,14,37,153 57 | Region Total For Africa,"30,493",151,"7,758",735,"13,321","52,458" 58 | Asia,,,,,, 59 | Afghanistan,457,237,197,13,43,947 60 | Bahrain,18,0,11,6,10,45 61 | Bangladesh,"5,482",14,"7,884",101,293,"13,774" 62 | Bhutan,8,0,0,0,4,12 63 | Brunei,0,0,0,2,0,2 64 | Burma,545,1,439,36,189,"1,210" 65 | Cambodia,"1,238",1,338,12,188,"1,777" 66 | China - mainland born,"15,214",30,"17,599","7,460",0,"40,303" 67 | #NAME?,576,4,"1,141",220,132,"2,073" 68 | Hong Kong S.A.R,206,5,913,42,8,"1,174" 69 | India,"12,243",82,"11,818",616,0,"24,759" 70 | Indonesia,406,6,250,13,85,760 71 | Iran,"2,743",20,"2,619",359,"2,385","8,126" 72 | Iraq,609,"3,898",288,22,36,"4,853" 73 | Israel,330,7,137,45,33,552 74 | Japan,"1,179",21,66,246,168,"1,680" 75 | Jordan,"2,155",14,"1,332",60,55,"3,616" 76 | "Korea, North",5,0,1,0,0,6 77 | "Korea, South","1,782",36,920,"1,973",0,"4,711" 78 | Kuwait,184,1,192,16,27,420 79 | Laos,152,0,70,7,0,229 80 | Lebanon,746,11,808,76,93,"1,734" 81 | Malaysia,172,3,150,24,24,373 82 | Maldives,1,0,0,0,0,1 83 | Mongolia,65,6,10,6,86,173 84 | Nepal,990,15,253,141,"1,896","3,295" 85 | Oman,4,0,6,0,2,12 86 | Pakistan,"5,158",20,"4,745",178,0,"10,101" 87 | Philippines,"16,795",84,"16,118","3,393",0,"36,390" 88 | Qatar,34,0,3,0,3,40 89 | Saudi Arabia,289,3,116,16,52,476 90 | Singapore,56,0,36,10,9,111 91 | Sri Lanka,295,5,153,57,192,702 92 | Syria,851,3,921,79,72,"1,926" 93 | Thailand,"1,102",7,287,56,17,"1,469" 94 | Timor-Leste,2,0,0,0,0,2 95 | United Arab Emirates,128,23,164,30,38,383 96 | Vietnam,"8,534",18,"15,454",52,0,"24,133" 97 | Yemen,"1,812",6,783,16,64,"2,681" 98 | Region Total For Asia,"82,566","4,581","86,222","15,383","6,204","195,031" 99 | Europe,,,,,, 100 | Albania,"1,761",5,261,7,524,"2,558" 101 | Andorra,0,0,0,0,0,0 102 | Armenia,661,3,103,20,627,"1,414" 103 | Austria,61,2,1,1,31,96 104 | Azerbaijan,146,1,62,1,141,351 105 | Belarus,221,1,74,7,279,582 106 | Belgium,52,2,16,21,40,131 107 | Bosnia and Herzegovina,201,3,24,5,37,270 108 | Bulgaria,533,13,75,4,434,"1,059" 109 | Croatia,52,1,5,5,29,92 110 | Cyprus,12,0,6,1,2,21 111 | Czech Republic,76,1,13,7,17,114 112 | Denmark,43,0,7,2,13,65 113 | Faroe Islands,0,0,0,0,0,0 114 | Greenland,0,0,0,0,0,0 115 | Estonia,25,0,3,0,8,36 116 | Finland,47,1,8,3,30,89 117 | France,370,3,113,48,142,676 118 | French Polynesia,4,0,1,0,1,6 119 | French Southern and Antarctic Lands,0,0,0,0,0,0 120 | Mayotte,0,0,0,0,0,0 121 | New Caledonia,0,0,0,0,0,0 122 | St. Barthelemy,0,0,0,0,0,0 123 | Saint Martin,0,0,2,0,0,2 124 | St. Pierre and Miquelon,0,0,0,0,0,0 125 | Wallis and Futuna,0,0,0,0,0,0 126 | Georgia,334,1,37,6,293,671 127 | Germany,"1,318",5,138,77,546,"2,084" 128 | Great Britain and Northern Ireland,"1,757",9,427,292,0,"2,485" 129 | Anguilla,1,0,4,0,0,5 130 | Bermuda,7,0,5,1,0,13 131 | British Indian Ocean Territory,0,0,0,0,0,0 132 | British Virgin Islands,10,0,10,0,0,20 133 | Cayman Islands,13,0,10,0,0,23 134 | Falkland Islands,0,0,0,0,0,0 135 | Gibraltar,0,0,0,0,0,0 136 | Montserrat,7,0,0,0,0,7 137 | Pitcairn,0,0,0,0,0,0 138 | St. Helena,0,0,0,0,0,0 139 | South Georgia and the South Sandwich Islands,0,0,0,0,0,0 140 | Turks and Caicos Islands,2,0,2,0,0,4 141 | Greece,347,2,17,8,28,402 142 | Hungary,114,4,38,12,73,241 143 | Iceland,19,0,1,6,11,37 144 | Ireland,149,0,24,20,66,259 145 | Italy,385,5,94,35,169,688 146 | Kazakhstan,201,2,29,4,229,465 147 | Kosovo,371,0,70,2,71,514 148 | Kyrgyzstan,109,0,11,1,173,294 149 | Latvia,129,2,19,4,22,176 150 | Liechtenstein,0,0,0,0,0,0 151 | Lithuania,107,5,38,2,125,277 152 | Luxembourg,3,0,0,0,2,5 153 | Macedonia,307,3,159,5,68,542 154 | Malta,7,0,2,0,0,9 155 | Moldova,132,4,50,0,674,860 156 | Monaco,0,0,0,0,0,0 157 | Montenegro,144,1,27,1,5,178 158 | Netherlands,125,3,9,21,41,199 159 | Aruba,11,0,6,0,1,18 160 | Curacao,7,0,6,0,2,15 161 | Sint Maarten,10,0,10,0,0,20 162 | Northern Ireland (DV only),0,0,0,0,13,13 163 | Norway,39,0,6,4,4,53 164 | Svalbard,0,0,0,0,0,0 165 | Poland,618,14,856,50,0,"1,538" 166 | Portugal,91,2,47,14,12,166 167 | Macau,12,1,48,3,3,67 168 | Romania,664,37,237,37,555,"1,530" 169 | Russia,"2,417",21,330,98,"1,014","3,880" 170 | San Marino,0,0,0,0,0,0 171 | Serbia,197,1,46,11,114,369 172 | Slovakia,58,1,24,9,14,106 173 | Slovenia,18,0,0,0,2,20 174 | Spain,227,6,70,19,57,379 175 | Western Sahara,0,0,0,0,0,0 176 | Sweden,110,1,22,18,51,202 177 | Switzerland,90,2,11,21,43,167 178 | Tajikistan,33,0,15,4,141,193 179 | Turkey,495,9,111,89,792,"1,496" 180 | Turkmenistan,29,0,4,0,65,98 181 | Ukraine,"1,640",14,436,56,"1,421","3,567" 182 | Uzbekistan,330,2,169,10,"3,205","3,716" 183 | Vatican City,0,0,0,0,0,0 184 | Region Total For Europe,"17,459",193,"4,449","1,072","12,460","35,633" 185 | North America,,,,,, 186 | Antigua and Barbuda,76,0,100,1,0,177 187 | "Bahamas, The",75,0,35,4,3,117 188 | Barbados,56,1,67,1,3,128 189 | Belize,123,0,180,0,0,303 190 | Canada,"1,404",0,493,314,0,"2,211" 191 | Costa Rica,401,0,68,5,1,475 192 | Cuba,"3,207",17,"1,419",0,70,"4,713" 193 | Dominica,166,0,149,6,8,329 194 | Dominican Republic,"13,666",33,"19,811",35,0,"33,545" 195 | El Salvador,"3,731",11,"4,867",100,0,"8,709" 196 | Grenada,119,0,111,0,6,236 197 | Guatemala,"1,878",11,"2,477",65,0,"4,431" 198 | Haiti,"8,065",24,"8,382",5,0,"16,476" 199 | Honduras,"2,353",9,"1,552",65,20,"3,999" 200 | Jamaica,"5,870",4,"5,735",77,0,"11,686" 201 | Mexico,"44,049",13,"32,026",318,0,"76,406" 202 | Nicaragua,"1,174",8,640,4,7,"1,833" 203 | Panama,256,2,178,5,7,448 204 | Saint Kitts and Nevis,76,0,136,0,2,214 205 | Saint Lucia,167,0,149,2,1,319 206 | Saint Vincent and the Grenadines,94,1,60,0,1,156 207 | Trinidad and Tobago,790,7,765,26,37,"1,625" 208 | Region Total For North America,"87,796",141,"79,400","1,033",166,"168,536" 209 | Oceania,,,,,, 210 | Australia,333,9,34,42,246,664 211 | Christmas Island,0,0,0,0,0,0 212 | Cocos Islands,0,0,0,0,0,0 213 | Norfolk Island,0,0,0,0,0,0 214 | Fiji,263,4,260,2,167,696 215 | Kiribati,3,0,0,0,2,5 216 | Marshall Islands,16,0,0,0,0,16 217 | "Micronesia, Federated States of",0,0,0,0,0,0 218 | Nauru,0,0,0,0,0,0 219 | New Zealand,126,5,10,22,70,233 220 | Cook Islands,0,0,0,0,0,0 221 | Niue,0,0,0,0,0,0 222 | Tokelau,0,0,0,0,0,0 223 | Palau,1,0,0,0,0,1 224 | Papua New Guinea,3,0,1,0,0,4 225 | Samoa,21,0,3,0,2,26 226 | Solomon Islands,0,1,0,0,0,1 227 | Tonga,34,0,24,0,1,59 228 | Tuvalu,0,0,0,0,0,0 229 | Vanuatu,2,0,0,0,0,2 230 | Region Total for Oceania,802,19,332,66,488,"1,707" 231 | South America,,,,,, 232 | Argentina,329,5,116,24,29,503 233 | Bolivia,370,0,175,63,27,635 234 | Brazil,"1,530",26,255,95,0,"1,906" 235 | Chile,245,1,58,10,4,318 236 | Colombia,"5,583",22,"2,679",133,0,"8,417" 237 | Ecuador,"2,817",19,"2,240",185,0,"5,261" 238 | Guyana,"1,577",2,"2,803",5,7,"4,394" 239 | Paraguay,69,2,13,3,5,92 240 | Peru,"2,994",49,"2,096",166,0,"5,305" 241 | Suriname,30,0,37,3,1,71 242 | Uruguay,67,3,21,7,3,101 243 | Venezuela,889,5,474,154,410,"1,932" 244 | Region Total For South America,"16,500",134,"10,967",848,486,"28,935" 245 | Worldwide Grand Totals,"235,616","5,219","189,128","19,137","33,125","482,300" -------------------------------------------------------------------------------- /raw_data/FY13AnnualReport-TableIII.csv: -------------------------------------------------------------------------------- 1 | Foreign State,Immediate Relatives,Special Immigrants,Family Preference,Employment Preference,Diversity Immigrants,Total 2 | Africa,,,,,, 3 | Algeria,290,0,69,9,"1,055","1,423" 4 | Angola,15,0,16,0,6,37 5 | Benin,41,0,17,0,223,281 6 | Botswana,5,0,2,0,1,8 7 | Burkina Faso,77,0,19,4,220,320 8 | Burundi,26,0,7,0,28,61 9 | Cameroon,603,3,273,5,"1,588","2,472" 10 | Cape Verde,427,0,888,2,7,"1,324" 11 | Central African Republic,1,0,7,0,3,11 12 | Chad,9,0,2,0,10,21 13 | Comoros,0,0,2,0,1,3 14 | "Congo, Dem. Rep. of the",457,2,88,1,"2,231","2,779" 15 | "Congo, Rep. of the",21,1,6,0,47,75 16 | Cote d'Ivoire,283,1,131,6,319,740 17 | Djibouti,10,0,2,2,18,32 18 | Egypt,"1,718",18,889,136,"3,362","6,123" 19 | Equatorial Guinea,1,0,0,0,0,1 20 | Eritrea,401,1,144,20,242,808 21 | Ethiopia,"4,404",10,"1,410",104,"2,389","8,317" 22 | Gabon,10,0,3,0,6,19 23 | "Gambia, The",196,0,72,5,11,284 24 | Ghana,"3,409",11,"1,279",74,"1,876","6,649" 25 | Guinea,212,0,79,4,257,552 26 | Guinea-Bissau,18,0,2,4,4,28 27 | Kenya,"1,324",4,348,85,"1,224","2,985" 28 | Lesotho,7,0,0,0,0,7 29 | Liberia,741,9,346,6,"1,230","2,332" 30 | Libya,86,3,12,1,61,163 31 | Madagascar,19,0,1,13,13,46 32 | Malawi,24,1,8,1,15,49 33 | Mali,104,0,34,4,27,169 34 | Mauritania,39,1,24,0,7,71 35 | Mauritius,12,2,8,0,4,26 36 | Morocco,"1,278",4,303,5,889,"2,479" 37 | Mozambique,9,0,2,0,0,11 38 | Namibia,9,0,0,0,7,16 39 | Niger,25,0,12,1,18,56 40 | Nigeria,"4,402",23,"1,959",146,"3,252","9,782" 41 | Rwanda,32,0,15,0,155,202 42 | Sao Tome and Principe,1,0,2,0,0,3 43 | Senegal,352,0,146,15,88,601 44 | Seychelles,2,0,1,0,0,3 45 | Sierra Leone,494,4,146,6,719,"1,369" 46 | Somalia,836,0,123,10,78,"1,047" 47 | South Africa,297,14,62,74,285,732 48 | South Sudan,70,1,1,0,0,72 49 | Sudan,474,3,92,15,435,"1,019" 50 | Swaziland,3,0,0,0,0,3 51 | Tanzania,108,0,34,16,45,203 52 | Togo,484,4,108,3,511,"1,110" 53 | Tunisia,185,7,6,7,40,245 54 | Uganda,492,0,94,26,198,810 55 | Zambia,56,0,27,2,34,119 56 | Zimbabwe,109,1,35,12,60,217 57 | Region Total For Africa,"24,708",128,"9,356",824,"23,299","58,315" 58 | Asia,,,,,, 59 | Afghanistan,450,"1,597",278,48,59,"2,432" 60 | Bahrain,13,0,5,1,4,23 61 | Bangladesh,"4,112",14,"6,474",93,0,"10,693" 62 | Bhutan,3,0,7,0,8,18 63 | Brunei,3,0,0,1,0,4 64 | Burma,532,0,458,16,262,"1,268" 65 | Cambodia,"1,000",0,385,21,399,"1,805" 66 | China - mainland born,"11,592",81,"13,146","8,006",0,"32,825" 67 | #NAME?,479,5,700,206,133,"1,523" 68 | Hong Kong S.A.R,206,5,746,50,35,"1,042" 69 | India,"12,091",137,"12,305",667,0,"25,200" 70 | Indonesia,364,6,196,18,55,639 71 | Iran,"1,928",15,"2,041",332,"3,741","8,057" 72 | Iraq,424,"3,569",245,32,65,"4,335" 73 | Israel,356,6,127,33,49,571 74 | Japan,985,21,87,252,230,"1,575" 75 | Jordan,"1,993",15,"1,305",42,122,"3,477" 76 | "Korea, North",3,0,2,0,0,5 77 | "Korea, South","1,251",42,905,"2,037",0,"4,235" 78 | Kuwait,168,4,147,8,66,393 79 | Laos,116,1,70,1,0,188 80 | Lebanon,768,15,786,81,84,"1,734" 81 | Malaysia,141,1,138,36,15,331 82 | Maldives,0,0,0,0,0,0 83 | Mongolia,71,0,18,14,111,214 84 | Nepal,"1,026",10,488,91,"3,316","4,931" 85 | Oman,9,0,9,0,1,19 86 | Pakistan,"4,452",41,"3,989",265,0,"8,747" 87 | Philippines,"15,673",116,"15,842","4,114",0,"35,745" 88 | Qatar,44,0,22,1,14,81 89 | Saudi Arabia,263,8,115,17,81,484 90 | Singapore,64,5,53,14,5,141 91 | Sri Lanka,284,5,150,40,287,766 92 | Syria,"1,019",24,974,75,87,"2,179" 93 | Thailand,"1,009",3,308,31,21,"1,372" 94 | Timor-Leste,0,0,0,0,0,0 95 | United Arab Emirates,144,11,146,40,36,377 96 | Vietnam,"8,796",21,"14,527",68,0,"23,424" 97 | Yemen,"2,366",8,559,31,194,"3,158" 98 | Region Total For Asia,"74,198","5,786","77,753","16,782","9,480","184,011" 99 | Europe,,,,,, 100 | Albania,"1,230",6,351,25,987,"2,599" 101 | Andorra,0,0,0,0,0,0 102 | Armenia,662,1,206,13,893,"1,775" 103 | Austria,57,3,1,8,37,106 104 | Azerbaijan,119,0,64,13,178,374 105 | Belarus,258,0,87,6,841,"1,192" 106 | Belgium,67,0,18,19,33,137 107 | Bosnia and Herzegovina,199,0,49,3,30,281 108 | Bulgaria,577,7,133,23,950,"1,690" 109 | Croatia,62,0,13,1,18,94 110 | Cyprus,22,2,3,2,2,31 111 | Czech Republic,53,5,23,9,24,114 112 | Denmark,64,3,14,11,18,110 113 | Faroe Islands,0,0,0,0,0,0 114 | Greenland,0,0,0,0,0,0 115 | Estonia,16,0,15,1,20,52 116 | Finland,47,0,3,8,25,83 117 | France,400,6,105,59,157,727 118 | French Polynesia,0,0,0,0,1,1 119 | French Southern and Antarctic Lands,0,0,0,0,0,0 120 | Mayotte,0,0,0,0,0,0 121 | New Caledonia,0,0,0,4,0,4 122 | St. Barthelemy,0,0,0,0,0,0 123 | Saint Martin,0,0,1,0,0,1 124 | St. Pierre and Miquelon,0,0,0,0,0,0 125 | Wallis and Futuna,0,0,0,0,0,0 126 | Georgia,352,1,73,15,408,849 127 | Germany,"1,345",13,115,104,541,"2,118" 128 | Great Britain and Northern Ireland,"1,927",23,454,311,0,"2,715" 129 | Anguilla,2,0,10,0,0,12 130 | Bermuda,16,0,14,0,0,30 131 | British Indian Ocean Territory,0,0,0,0,0,0 132 | British Virgin Islands,6,0,7,1,0,14 133 | Cayman Islands,12,0,7,0,0,19 134 | Falkland Islands,0,0,0,0,0,0 135 | Gibraltar,3,0,1,0,0,4 136 | Montserrat,2,0,9,0,0,11 137 | Pitcairn,0,0,0,0,0,0 138 | St. Helena,1,0,0,0,0,1 139 | South Georgia and the South Sandwich Islands,0,0,0,0,0,0 140 | Turks and Caicos Islands,9,0,8,1,0,18 141 | Greece,446,2,50,14,49,561 142 | Hungary,114,2,29,23,106,274 143 | Iceland,14,1,0,8,13,36 144 | Ireland,169,0,11,25,48,253 145 | Italy,398,4,86,44,133,665 146 | Kazakhstan,182,4,46,15,309,556 147 | Kosovo,317,0,114,6,126,563 148 | Kyrgyzstan,67,2,19,3,183,274 149 | Latvia,129,4,24,1,54,212 150 | Liechtenstein,0,0,0,0,0,0 151 | Lithuania,85,4,59,11,139,298 152 | Luxembourg,10,0,1,0,2,13 153 | Macedonia,240,1,116,12,144,513 154 | Malta,3,0,5,1,0,9 155 | Moldova,163,3,68,2,889,"1,125" 156 | Monaco,1,0,1,0,0,2 157 | Montenegro,112,0,50,1,11,174 158 | Netherlands,110,1,18,25,30,184 159 | Aruba,3,0,5,0,0,8 160 | Curacao,10,0,6,1,4,21 161 | Sint Maarten,10,0,13,0,0,23 162 | Northern Ireland (DV only),0,0,0,0,11,11 163 | Norway,49,1,3,17,15,85 164 | Svalbard,0,0,0,0,0,0 165 | Poland,558,29,874,62,752,"2,275" 166 | Portugal,90,0,53,16,15,174 167 | Macau,13,0,41,0,4,58 168 | Romania,563,25,276,39,407,"1,310" 169 | Russia,"1,715",31,456,128,"1,601","3,931" 170 | San Marino,0,0,0,0,0,0 171 | Serbia,229,0,68,9,159,465 172 | Slovakia,37,1,18,12,25,93 173 | Slovenia,8,0,0,1,4,13 174 | Spain,281,10,65,33,80,469 175 | Western Sahara,0,0,0,0,0,0 176 | Sweden,131,0,20,14,52,217 177 | Switzerland,72,3,7,6,37,125 178 | Tajikistan,32,0,25,19,200,276 179 | Turkey,467,12,140,95,619,"1,333" 180 | Turkmenistan,23,0,10,1,64,98 181 | Ukraine,"1,705",7,648,60,"1,800","4,220" 182 | Uzbekistan,268,6,233,9,"3,371","3,887" 183 | Vatican City,0,0,0,0,0,0 184 | Region Total For Europe,"16,332",223,"5,442","1,350","16,619","39,966" 185 | North America,,,,,, 186 | Antigua and Barbuda,54,0,123,0,6,183 187 | "Bahamas, The",74,0,33,2,13,122 188 | Barbados,69,1,104,1,0,175 189 | Belize,127,0,156,5,9,297 190 | Canada,"1,185",1,503,254,0,"1,943" 191 | Costa Rica,315,4,130,6,18,473 192 | Cuba,"2,405",18,"2,297",4,193,"4,917" 193 | Dominica,122,1,269,5,11,408 194 | Dominican Republic,"11,763",13,"21,196",40,0,"33,012" 195 | El Salvador,"4,298",10,"6,978",117,0,"11,403" 196 | Grenada,120,0,152,2,1,275 197 | Guatemala,"1,984",8,"2,691",59,0,"4,742" 198 | Haiti,"5,492",10,"9,665",11,0,"15,178" 199 | Honduras,"2,634",22,"2,320",98,20,"5,094" 200 | Jamaica,"5,614",3,"5,767",127,0,"11,511" 201 | Mexico,"37,436",9,"26,555",498,0,"64,498" 202 | Nicaragua,"1,046",9,756,6,28,"1,845" 203 | Panama,231,6,163,4,4,408 204 | Saint Kitts and Nevis,48,0,116,1,4,169 205 | Saint Lucia,125,0,194,0,8,327 206 | Saint Vincent and the Grenadines,87,0,94,2,9,192 207 | Trinidad and Tobago,605,5,822,20,43,"1,495" 208 | Region Total For North America,"75,834",120,"81,084","1,262",367,"158,667" 209 | Oceania,,,,,, 210 | Australia,350,6,41,37,355,789 211 | Christmas Island,0,0,0,0,0,0 212 | Cocos Islands,0,0,0,0,0,0 213 | Norfolk Island,0,0,0,0,0,0 214 | Fiji,242,4,193,5,249,693 215 | Kiribati,0,0,0,0,0,0 216 | Marshall Islands,18,0,0,0,0,18 217 | "Micronesia, Federated States of",1,0,0,0,0,1 218 | Nauru,0,0,0,0,0,0 219 | New Zealand,141,4,20,20,109,294 220 | Cook Islands,0,0,0,0,0,0 221 | Niue,0,0,0,0,0,0 222 | Tokelau,0,0,0,0,0,0 223 | Palau,0,1,1,1,0,3 224 | Papua New Guinea,8,0,1,0,7,16 225 | Samoa,36,1,0,0,0,37 226 | Solomon Islands,0,0,0,0,0,0 227 | Tonga,34,3,83,0,11,131 228 | Tuvalu,0,0,0,0,0,0 229 | Vanuatu,1,0,0,0,0,1 230 | Region Total for Oceania,831,19,339,63,731,"1,983" 231 | South America,,,,,, 232 | Argentina,321,8,103,28,21,481 233 | Bolivia,288,1,322,114,30,755 234 | Brazil,"1,223",11,358,112,0,"1,704" 235 | Chile,222,7,74,15,8,326 236 | Colombia,"4,281",22,"3,733",107,0,"8,143" 237 | Ecuador,"2,755",42,"3,736",195,0,"6,728" 238 | Guyana,"1,246",5,"3,475",10,14,"4,750" 239 | Paraguay,55,0,47,7,4,113 240 | Peru,"2,349",46,"2,700",103,0,"5,198" 241 | Suriname,27,0,31,3,3,64 242 | Uruguay,56,4,27,7,1,95 243 | Venezuela,709,2,440,162,503,"1,816" 244 | Region Total For South America,"13,532",148,"15,046",863,584,"30,173" 245 | Worldwide Grand Totals,"205,435","6,424","189,020","21,144","51,080","473,115" -------------------------------------------------------------------------------- /raw_data/FY14AnnualReport-TableIII.csv: -------------------------------------------------------------------------------- 1 | Foreign State,Immediate Relatives,Special Immigrants,Family Preference,Employment Preference,Diversity Immigrants,Total 2 | Africa,,,,,, 3 | Algeria,264,1,146,4,971,"1,386" 4 | Angola,13,1,16,4,8,42 5 | Benin,81,1,33,0,180,295 6 | Botswana,7,0,2,0,2,11 7 | Burkina Faso,49,0,17,4,116,186 8 | Burundi,18,0,5,5,37,65 9 | Cabo Verde,294,0,543,1,2,840 10 | Cameroon,622,4,304,8,"1,285","2,223" 11 | Central African Republic,5,0,3,4,1,13 12 | Chad,8,0,3,0,9,20 13 | Comoros,2,0,0,0,0,2 14 | "Congo, Dem. Rep. of the",417,7,166,7,"2,435","3,032" 15 | "Congo, Rep. of the",20,1,7,0,54,82 16 | Cote d'Ivoire,193,0,106,1,371,671 17 | Djibouti,31,0,3,2,13,49 18 | Egypt,"1,928",18,931,185,"3,483","6,545" 19 | Equatorial Guinea,2,0,0,0,0,2 20 | Eritrea,376,1,146,16,172,711 21 | Ethiopia,"3,348",4,"1,292",59,"2,539","7,242" 22 | Gabon,14,1,9,0,17,41 23 | "Gambia, The",216,0,100,3,6,325 24 | Ghana,"2,040",6,779,67,"1,454","4,346" 25 | Guinea,228,0,83,3,264,578 26 | Guinea-Bissau,10,0,3,2,0,15 27 | Kenya,"1,186",2,394,49,"1,196","2,827" 28 | Lesotho,2,0,1,0,3,6 29 | Liberia,694,3,362,5,"1,752","2,816" 30 | Libya,147,2,11,3,26,189 31 | Madagascar,11,0,0,4,17,32 32 | Malawi,8,0,3,3,6,20 33 | Mali,72,0,33,0,18,123 34 | Mauritania,48,0,13,5,0,66 35 | Mauritius,9,0,7,2,6,24 36 | Morocco,"1,121",5,418,36,853,"2,433" 37 | Western Sahara,0,0,0,0,0,0 38 | Mozambique,5,0,1,0,5,11 39 | Namibia,4,1,1,1,0,7 40 | Niger,43,0,12,4,13,72 41 | Nigeria,"3,244",57,"1,498",155,"2,442","7,396" 42 | Rwanda,22,0,17,0,138,177 43 | Sao Tome and Principe,2,0,1,0,0,3 44 | Senegal,317,2,134,24,108,585 45 | Seychelles,0,0,0,0,0,0 46 | Sierra Leone,440,6,129,34,447,"1,056" 47 | Somalia,"1,487",5,166,1,46,"1,705" 48 | South Africa,255,6,65,80,211,617 49 | South Sudan,40,0,1,0,0,41 50 | Sudan,448,3,132,10,959,"1,552" 51 | Swaziland,2,0,1,0,0,3 52 | Tanzania,86,1,38,8,28,161 53 | Togo,445,0,148,2,564,"1,159" 54 | Tunisia,140,3,30,5,37,215 55 | Uganda,371,4,99,47,167,688 56 | Zambia,67,0,28,8,12,115 57 | Zimbabwe,79,1,51,23,24,178 58 | Region Total For Africa,"20,981",146,"8,491",884,"22,497","52,999" 59 | Asia,,,,,, 60 | Afghanistan,817,"9,283",392,57,95,"10,644" 61 | Bahrain,10,0,7,1,2,20 62 | Bangladesh,"4,423",7,"7,579",90,0,"12,099" 63 | Bhutan,5,0,2,0,7,14 64 | Brunei,4,0,0,1,0,5 65 | Burma,353,1,404,2,199,959 66 | Cambodia,"1,064",2,408,29,333,"1,836" 67 | China - mainland born,"11,798",33,"14,273","10,034",0,"36,138" 68 | #NAME?,314,11,718,190,179,"1,412" 69 | Hong Kong S.A.R,166,4,749,39,34,992 70 | India,"10,467",123,"14,016",745,0,"25,351" 71 | Indonesia,250,9,125,16,64,464 72 | Iran,"1,888",16,"2,410",409,"2,326","7,049" 73 | Iraq,365,"1,521",233,14,48,"2,181" 74 | Israel,308,9,137,41,38,533 75 | Japan,875,32,66,206,228,"1,407" 76 | Jordan,"1,982",9,"1,643",51,173,"3,858" 77 | "Korea, North",1,0,0,0,0,1 78 | "Korea, South","1,386",21,770,"1,609",0,"3,786" 79 | Kuwait,184,3,204,22,55,468 80 | Laos,98,3,48,2,0,151 81 | Lebanon,849,28,987,90,54,"2,008" 82 | Malaysia,129,1,158,20,35,343 83 | Maldives,0,0,0,0,0,0 84 | Mongolia,68,5,23,26,78,200 85 | Nepal,893,14,652,90,"3,437","5,086" 86 | Oman,8,2,4,0,2,16 87 | Pakistan,"5,335",50,"8,132",400,0,"13,917" 88 | Philippines,"12,605",87,"16,304","2,662",0,"31,658" 89 | Qatar,33,0,12,1,14,60 90 | Saudi Arabia,274,1,168,31,104,578 91 | Singapore,47,2,41,21,23,134 92 | Sri Lanka,225,3,237,18,278,761 93 | Syria,800,23,960,66,135,"1,984" 94 | Thailand,734,14,248,34,16,"1,049" 95 | Timor-Leste,0,0,0,0,0,0 96 | United Arab Emirates,137,11,167,35,36,386 97 | Vietnam,"6,242",44,"18,044",149,0,"24,489" 98 | Yemen,"2,010",10,684,35,200,"2,939" 99 | Region Total For Asia,"67,147","11,382","91,005","17,236","8,193","194,976" 100 | Europe,,,,,, 101 | Albania,"1,250",4,423,38,"1,567","3,282" 102 | Andorra,0,0,0,0,0,0 103 | Armenia,448,3,247,31,"1,268","1,997" 104 | Austria,52,1,8,6,23,90 105 | Azerbaijan,91,0,61,14,182,348 106 | Belarus,198,4,92,3,832,"1,129" 107 | Belgium,53,3,14,7,22,99 108 | Bosnia and Herzegovina,143,1,35,7,32,218 109 | Bulgaria,485,9,137,17,998,"1,646" 110 | Croatia,35,0,15,5,40,95 111 | Cyprus,16,0,4,0,7,27 112 | Czech Republic,64,0,19,14,36,133 113 | Denmark,40,0,11,14,14,79 114 | Faroe Islands,0,0,0,0,0,0 115 | Greenland,0,0,0,0,0,0 116 | Estonia,27,0,2,0,17,46 117 | Finland,54,2,2,6,16,80 118 | France,299,8,114,55,279,755 119 | French Polynesia,2,0,0,0,0,2 120 | French Southern and Antarctic Lands,0,0,0,0,0,0 121 | New Caledonia,1,0,0,0,1,2 122 | St. Barthelemy,0,0,0,0,0,0 123 | Saint Martin,0,0,0,0,0,0 124 | St. Pierre and Miquelon,0,0,0,0,0,0 125 | Wallis and Futuna,0,0,0,0,0,0 126 | Georgia,257,2,99,9,341,708 127 | Germany,"1,064",3,136,75,463,"1,741" 128 | Great Britain and Northern Ireland,"1,687",30,448,316,0,"2,481" 129 | Anguilla,5,0,4,0,0,9 130 | Bermuda,17,0,11,9,0,37 131 | British Indian Ocean Territory,0,0,0,0,0,0 132 | British Virgin Islands,9,0,11,0,0,20 133 | Cayman Islands,6,0,8,0,0,14 134 | Falkland Islands,0,0,0,0,0,0 135 | Gibraltar,2,0,0,0,0,2 136 | Montserrat,4,0,10,0,0,14 137 | Pitcairn,0,0,0,0,0,0 138 | St. Helena,0,0,0,0,0,0 139 | South Georgia and the South Sandwich Islands,0,0,0,0,0,0 140 | Turks and Caicos Islands,5,0,4,0,0,9 141 | Greece,235,1,35,18,74,363 142 | Hungary,101,1,23,8,99,232 143 | Iceland,12,0,0,2,10,24 144 | Ireland,145,1,9,20,35,210 145 | Italy,452,7,89,39,245,832 146 | Kazakhstan,136,1,47,24,311,519 147 | Kosovo,221,0,121,2,93,437 148 | Kyrgyzstan,70,0,39,1,229,339 149 | Latvia,105,2,19,5,52,183 150 | Liechtenstein,0,0,0,0,0,0 151 | Lithuania,67,3,40,1,149,260 152 | Luxembourg,2,0,1,0,0,3 153 | Macedonia,189,2,140,18,177,526 154 | Malta,4,0,0,1,0,5 155 | Moldova,110,5,97,6,"1,203","1,421" 156 | Monaco,1,0,1,0,4,6 157 | Montenegro,69,0,46,3,10,128 158 | Netherlands,98,2,19,17,62,198 159 | Aruba,5,1,7,0,0,13 160 | Curacao,7,0,0,0,0,7 161 | Sint Maarten,11,0,10,0,0,21 162 | Northern Ireland (DV only),0,0,0,0,16,16 163 | Norway,31,0,5,3,0,39 164 | Svalbard,0,0,0,0,0,0 165 | Poland,477,7,663,56,455,"1,658" 166 | Portugal,49,0,48,24,21,142 167 | Macau,8,0,25,3,3,39 168 | Romania,407,28,180,28,486,"1,129" 169 | Russia,"1,142",25,414,164,"1,837","3,582" 170 | San Marino,1,0,0,0,0,1 171 | Serbia,138,3,58,12,197,408 172 | Slovakia,31,0,15,8,32,86 173 | Slovenia,8,0,3,0,0,11 174 | Spain,234,4,59,21,158,476 175 | Sweden,85,3,24,30,30,172 176 | Switzerland,55,2,5,9,58,129 177 | Tajikistan,31,2,25,23,239,320 178 | Turkey,370,13,136,96,988,"1,603" 179 | Turkmenistan,24,2,13,3,103,145 180 | Ukraine,"1,632",22,777,55,"1,759","4,245" 181 | Uzbekistan,251,6,402,17,"3,019","3,695" 182 | Vatican City,0,0,0,0,0,0 183 | Region Total For Europe,"13,328",213,"5,510","1,343","18,292","38,686" 184 | North America,,,,,, 185 | Antigua and Barbuda,61,0,91,0,6,158 186 | "Bahamas, The",90,0,37,10,2,139 187 | Barbados,46,3,54,4,4,111 188 | Belize,85,1,113,7,0,206 189 | Canada,815,4,378,265,0,"1,462" 190 | Costa Rica,288,0,98,10,25,421 191 | Cuba,"2,188",13,"3,593",3,301,"6,098" 192 | Dominica,115,0,185,0,6,306 193 | Dominican Republic,"12,039",19,"24,990",51,0,"37,099" 194 | El Salvador,"4,382",6,"6,741",133,0,"11,262" 195 | Grenada,78,1,73,1,5,158 196 | Guatemala,"2,288",13,"2,327",38,44,"4,710" 197 | Haiti,"4,143",11,"6,612",8,0,"10,774" 198 | Honduras,"2,151",16,"1,377",57,36,"3,637" 199 | Jamaica,"4,756",13,"5,371",203,0,"10,343" 200 | Mexico,"36,300",48,"24,833",339,0,"61,520" 201 | Nicaragua,906,11,673,6,2,"1,598" 202 | Panama,155,15,177,2,6,355 203 | Saint Kitts and Nevis,49,0,98,0,0,147 204 | Saint Lucia,108,0,181,2,11,302 205 | Saint Vincent and the Grenadines,71,1,86,1,5,164 206 | Trinidad and Tobago,499,5,550,7,57,"1,118" 207 | Region Total For North America,"71,613",180,"78,638","1,147",510,"152,088" 208 | Oceania,,,,,, 209 | Australia,286,2,50,38,328,704 210 | Christmas Island,0,0,0,0,0,0 211 | Cocos Islands,0,0,0,0,0,0 212 | Norfolk Island,0,0,0,0,0,0 213 | Fiji,144,2,248,6,217,617 214 | Kiribati,0,0,2,0,0,2 215 | Marshall Islands,30,0,0,0,0,30 216 | "Micronesia, Federated States of",0,0,0,0,0,0 217 | Nauru,0,0,0,0,0,0 218 | New Zealand,102,2,19,18,114,255 219 | Cook Islands,0,0,0,0,0,0 220 | Niue,0,0,0,0,0,0 221 | Tokelau,0,0,0,0,0,0 222 | Palau,0,0,2,0,0,2 223 | Papua New Guinea,5,0,0,0,1,6 224 | Samoa,28,0,9,0,0,37 225 | Solomon Islands,2,0,0,0,0,2 226 | Tonga,38,0,92,0,1,131 227 | Tuvalu,0,0,0,0,0,0 228 | Vanuatu,1,0,0,0,0,1 229 | Region Total for Oceania,636,6,422,62,661,"1,787" 230 | South America,,,,,, 231 | Argentina,249,10,124,47,58,488 232 | Bolivia,264,5,231,80,21,601 233 | Brazil,"1,184",8,328,112,0,"1,632" 234 | Chile,139,1,79,3,17,239 235 | Colombia,"3,334",19,"3,158",96,0,"6,607" 236 | Ecuador,"2,613",56,"3,482",156,0,"6,307" 237 | Guyana,"1,044",5,"3,579",10,6,"4,644" 238 | Paraguay,63,1,20,3,1,88 239 | Peru,"1,900",37,"2,162",50,0,"4,149" 240 | Suriname,18,0,55,0,4,77 241 | Uruguay,62,4,10,7,9,92 242 | Venezuela,555,11,466,129,749,"1,910" 243 | Region Total For South America,"11,425",157,"13,694",693,865,"26,834" 244 | Worldwide Grand Totals,"185,130","12,084","197,760","21,365","51,018","467,370" -------------------------------------------------------------------------------- /raw_data/FY15AnnualReport-TableIII.csv: -------------------------------------------------------------------------------- 1 | Foreign State,Immediate Relatives,Special Immigrants,Family Preference,Employment Preference,Diversity Immigrants,Total 2 | Africa,,,,,, 3 | Algeria,373,1,127,0,"1,086","1,587" 4 | Angola,23,1,6,0,7,37 5 | Benin,64,1,20,6,190,281 6 | Botswana,8,0,1,0,3,12 7 | Burkina Faso,99,0,30,6,120,255 8 | Burundi,41,0,9,0,47,97 9 | Cabo Verde,347,0,697,2,12,"1,058" 10 | Cameroon,"1,062",8,427,2,"1,450","2,949" 11 | Central African Republic,7,0,2,0,3,12 12 | Chad,18,0,1,5,15,39 13 | Comoros,0,0,0,0,0,0 14 | "Congo, Dem. Rep. of the",423,2,177,0,"2,631","3,233" 15 | "Congo, Rep. of the",29,0,15,0,48,92 16 | Cote d'Ivoire,240,1,102,5,375,723 17 | Djibouti,24,0,2,1,18,45 18 | Egypt,"1,819",7,826,127,"3,434","6,213" 19 | Equatorial Guinea,3,0,1,0,0,4 20 | Eritrea,333,0,151,18,185,687 21 | Ethiopia,"2,231",2,"1,547",22,"2,457","6,259" 22 | Gabon,22,0,2,1,11,36 23 | "Gambia, The",329,0,77,12,12,430 24 | Ghana,"2,144",4,903,27,523,"3,601" 25 | Guinea,319,1,104,4,259,687 26 | Guinea-Bissau,15,0,0,1,1,17 27 | Kenya,"1,213",7,354,98,888,"2,560" 28 | Lesotho,4,0,0,0,0,4 29 | Liberia,697,6,321,19,"1,740","2,783" 30 | Libya,211,0,22,3,36,272 31 | Madagascar,12,0,9,4,9,34 32 | Malawi,18,0,8,1,9,36 33 | Mali,133,0,23,1,22,179 34 | Mauritania,73,0,27,0,6,106 35 | Mauritius,15,0,7,0,11,33 36 | Morocco,"1,556",9,335,26,904,"2,830" 37 | Western Sahara,0,0,0,0,0,0 38 | Mozambique,10,1,3,2,1,17 39 | Namibia,10,0,0,1,6,17 40 | Niger,55,0,3,7,14,79 41 | Nigeria,"4,209",42,"1,864",167,0,"6,282" 42 | Rwanda,41,0,10,12,198,261 43 | Sao Tome and Principe,0,0,2,1,0,3 44 | Senegal,399,1,127,30,98,655 45 | Seychelles,4,0,0,0,0,4 46 | Sierra Leone,583,2,113,27,354,"1,079" 47 | Somalia,885,1,133,0,59,"1,078" 48 | South Africa,425,10,81,79,178,773 49 | South Sudan,70,0,3,0,1,74 50 | Sudan,359,1,88,18,"1,176","1,642" 51 | Swaziland,4,0,0,0,0,4 52 | Tanzania,149,0,44,3,56,252 53 | Togo,527,6,174,2,545,"1,254" 54 | Tunisia,219,1,11,18,37,286 55 | Uganda,431,1,95,64,164,755 56 | Zambia,94,0,25,8,30,157 57 | Zimbabwe,109,0,51,17,43,220 58 | Region Total For Africa,"22,488",116,"9,160",847,"19,472","52,083" 59 | Asia,,,,,, 60 | Afghanistan,640,"6,884",307,8,28,"7,867" 61 | Bahrain,19,0,15,2,2,38 62 | Bangladesh,"5,839",13,"8,176",65,0,"14,093" 63 | Bhutan,14,0,0,1,1,16 64 | Brunei,3,0,2,1,0,6 65 | Burma,503,4,526,2,88,"1,123" 66 | Cambodia,778,0,360,31,152,"1,321" 67 | China - mainland born,"15,627",55,"14,564","9,005",0,"39,251" 68 | #NAME?,486,14,620,214,86,"1,420" 69 | Hong Kong S.A.R,225,2,715,58,30,"1,030" 70 | India,"13,406",185,"16,108",682,0,"30,381" 71 | Indonesia,392,8,134,28,33,595 72 | Iran,"2,087",33,"2,095",337,"2,627","7,179" 73 | Iraq,572,"1,190",220,5,23,"2,010" 74 | Israel,344,7,112,41,11,515 75 | Japan,"1,304",26,78,130,109,"1,647" 76 | Jordan,"1,704",9,"1,205",64,62,"3,044" 77 | "Korea, North",5,0,2,0,0,7 78 | "Korea, South","1,607",25,727,"1,536",0,"3,895" 79 | Kuwait,172,1,160,21,24,378 80 | Laos,140,0,72,9,0,221 81 | Lebanon,811,8,742,97,52,"1,710" 82 | Malaysia,165,3,117,48,13,346 83 | Maldives,3,0,1,0,0,4 84 | Mongolia,96,1,34,10,53,194 85 | Nepal,"1,618",9,628,124,"3,332","5,711" 86 | Oman,10,0,7,0,1,18 87 | Pakistan,"6,637",51,"7,154",378,0,"14,220" 88 | Philippines,"16,997",148,"15,524","3,981",0,"36,650" 89 | Qatar,49,0,24,2,14,89 90 | Saudi Arabia,321,7,146,39,88,601 91 | Singapore,93,1,30,21,1,146 92 | Sri Lanka,293,6,251,27,191,768 93 | Syria,868,15,844,47,127,"1,901" 94 | Thailand,"1,069",10,245,43,18,"1,385" 95 | Timor-Leste,4,0,0,0,0,4 96 | United Arab Emirates,189,8,195,44,40,476 97 | Vietnam,"8,513",32,"18,310",523,0,"27,391" 98 | Yemen,"2,348",3,617,4,171,"3,143" 99 | Region Total For Asia,"85,951","8,758","91,067","17,628","7,377","210,794" 100 | Europe,,,,,, 101 | Albania,"1,978",7,669,26,"1,908","4,588" 102 | Andorra,0,0,0,0,2,2 103 | Armenia,551,3,287,29,"1,544","2,414" 104 | Austria,61,0,7,12,47,127 105 | Azerbaijan,149,4,76,0,282,511 106 | Belarus,376,2,89,6,859,"1,332" 107 | Belgium,85,0,8,20,29,142 108 | Bosnia and Herzegovina,224,0,68,10,75,377 109 | Bulgaria,583,15,132,10,820,"1,560" 110 | Croatia,66,0,9,1,29,105 111 | Cyprus,24,0,3,1,7,35 112 | Czech Republic,92,4,12,2,36,146 113 | Denmark,74,1,4,11,16,106 114 | Faroe Islands,0,0,0,0,0,0 115 | Greenland,0,0,0,0,0,0 116 | Estonia,26,0,7,1,21,55 117 | Finland,56,0,4,6,26,92 118 | France,494,4,79,63,273,913 119 | French Polynesia,2,0,0,0,0,2 120 | French Southern and Antarctic Lands,0,0,0,0,0,0 121 | New Caledonia,1,0,0,0,0,1 122 | St. Barthelemy,0,0,0,0,0,0 123 | Saint Martin,0,0,1,0,0,1 124 | St. Pierre and Miquelon,0,0,0,0,0,0 125 | Wallis and Futuna,0,0,0,0,0,0 126 | Georgia,444,6,105,8,503,"1,066" 127 | Germany,"1,119",12,121,65,486,"1,803" 128 | Great Britain and Northern Ireland,"1,895",14,430,434,0,"2,773" 129 | Anguilla,5,0,2,0,0,7 130 | Bermuda,21,0,18,4,0,43 131 | British Indian Ocean Territory,0,0,0,0,0,0 132 | British Virgin Islands,6,0,11,0,0,17 133 | Cayman Islands,3,0,5,0,0,8 134 | Falkland Islands,0,0,0,0,0,0 135 | Gibraltar,1,0,0,0,0,1 136 | Montserrat,4,1,5,0,0,10 137 | Pitcairn,0,0,0,0,0,0 138 | St. Helena,0,0,0,0,0,0 139 | South Georgia and the South Sandwich Islands,0,0,0,0,0,0 140 | Turks and Caicos Islands,3,0,3,0,0,6 141 | Greece,233,0,59,14,88,394 142 | Hungary,153,3,17,13,110,296 143 | Iceland,15,0,1,0,11,27 144 | Ireland,173,3,11,23,43,253 145 | Italy,542,9,93,60,240,944 146 | Kazakhstan,203,2,35,10,448,698 147 | Kosovo,355,0,117,2,145,619 148 | Kyrgyzstan,166,0,38,6,271,481 149 | Latvia,225,1,23,1,30,280 150 | Liechtenstein,1,0,0,0,0,1 151 | Lithuania,107,0,36,2,162,307 152 | Luxembourg,4,0,0,0,0,4 153 | Macedonia,283,3,142,19,258,705 154 | Malta,4,1,0,3,0,8 155 | Moldova,199,4,101,2,"1,561","1,867" 156 | Monaco,4,0,0,0,0,4 157 | Montenegro,110,0,51,0,6,167 158 | Netherlands,215,2,13,18,43,291 159 | Aruba,4,0,3,0,0,7 160 | Curacao,3,0,4,0,0,7 161 | Sint Maarten,9,0,15,0,1,25 162 | Northern Ireland (DV only),0,0,0,0,15,15 163 | Norway,60,1,9,2,1,73 164 | Svalbard,0,0,0,0,0,0 165 | Poland,738,19,814,50,368,"1,989" 166 | Portugal,92,1,39,17,20,169 167 | Macau,5,0,21,1,15,42 168 | Romania,540,30,239,39,502,"1,350" 169 | Russia,"1,581",23,422,182,"1,949","4,157" 170 | San Marino,0,0,0,0,0,0 171 | Serbia,216,1,97,2,210,526 172 | Slovakia,50,2,5,7,41,105 173 | Slovenia,17,0,0,2,4,23 174 | Spain,335,7,68,28,160,598 175 | Sweden,141,0,19,12,40,212 176 | Switzerland,92,1,5,9,50,157 177 | Tajikistan,43,3,20,36,333,435 178 | Turkey,553,16,185,113,"1,164","2,031" 179 | Turkmenistan,31,1,6,8,91,137 180 | Ukraine,"1,987",37,804,60,"1,278","4,166" 181 | Uzbekistan,310,12,404,22,"2,520","3,268" 182 | Vatican City,0,0,0,0,0,0 183 | Region Total For Europe,"18,142",255,"6,071","1,472","19,141","45,081" 184 | North America,,,,,, 185 | Antigua and Barbuda,55,0,94,0,4,153 186 | "Bahamas, The",114,0,36,12,7,169 187 | Barbados,57,0,88,7,6,158 188 | Belize,146,1,128,11,0,286 189 | Canada,"1,465",5,484,211,0,"2,165" 190 | Costa Rica,500,2,121,7,6,636 191 | Cuba,"3,549",8,"2,262",6,473,"6,298" 192 | Dominica,112,1,118,1,0,232 193 | Dominican Republic,"17,151",19,"27,856",39,0,"45,065" 194 | El Salvador,"5,917",11,"6,494",66,0,"12,488" 195 | Grenada,129,0,113,0,2,244 196 | Guatemala,"3,381",4,"2,293",9,20,"5,707" 197 | Haiti,"5,772",33,"7,430",16,0,"13,251" 198 | Honduras,"2,842",7,"1,834",51,31,"4,765" 199 | Jamaica,"5,026",18,"5,711",246,0,"11,001" 200 | Mexico,"50,835",16,"31,359",266,0,"82,476" 201 | Nicaragua,"1,294",10,821,1,4,"2,130" 202 | Panama,214,4,148,11,5,382 203 | Saint Kitts and Nevis,56,0,79,4,1,140 204 | Saint Lucia,161,0,176,6,4,347 205 | Saint Vincent and the Grenadines,100,0,64,6,3,173 206 | Trinidad and Tobago,642,8,589,33,46,"1,318" 207 | Region Total For North America,"99,518",147,"88,298","1,009",612,"189,584" 208 | Oceania,,,,,, 209 | Australia,452,5,37,40,400,934 210 | Christmas Island,0,0,0,0,0,0 211 | Cocos Islands,0,0,0,0,0,0 212 | Norfolk Island,0,0,0,0,5,5 213 | Fiji,220,3,338,3,185,749 214 | Kiribati,0,0,0,0,0,0 215 | Marshall Islands,21,0,0,0,0,21 216 | "Micronesia, Federated States of",0,0,0,0,0,0 217 | Nauru,0,0,1,0,0,1 218 | New Zealand,165,2,4,12,124,307 219 | Cook Islands,1,0,0,0,0,1 220 | Niue,0,0,0,0,0,0 221 | Tokelau,0,0,0,0,0,0 222 | Palau,2,0,2,2,0,6 223 | Papua New Guinea,3,0,0,0,1,4 224 | Samoa,52,0,2,0,0,54 225 | Solomon Islands,0,0,0,0,0,0 226 | Tonga,49,1,80,0,15,145 227 | Tuvalu,0,0,0,0,0,0 228 | Vanuatu,1,0,4,0,0,5 229 | Region Total for Oceania,966,11,468,57,730,"2,232" 230 | South America,,,,,, 231 | Argentina,400,10,135,37,42,624 232 | Bolivia,425,6,262,44,21,758 233 | Brazil,"1,961",14,409,94,0,"2,478" 234 | Chile,249,3,88,13,8,361 235 | Colombia,"4,350",34,"3,091",76,0,"7,551" 236 | Ecuador,"3,790",57,"3,108",94,0,"7,049" 237 | Guyana,"1,268",2,"3,405",5,13,"4,693" 238 | Paraguay,93,2,21,10,2,128 239 | Peru,"2,832",37,"2,587",58,0,"5,514" 240 | Suriname,30,0,27,0,2,59 241 | Uruguay,93,0,24,4,5,126 242 | Venezuela,876,16,619,165,672,"2,348" 243 | Region Total For South America,"16,367",181,"13,776",600,765,"31,689" 244 | Worldwide Grand Totals,"243,432","9,468","208,840","21,613","48,097","531,463" -------------------------------------------------------------------------------- /raw_data/FY16AnnualReport-TableIII.csv: -------------------------------------------------------------------------------- 1 | Foreign State,Immediate Relatives,Special Immigrants,Family Preference,Employment Preference,Diversity Immigrants,Total 2 | Africa,,,,,, 3 | Algeria,443,2,138,9,"1,271","1,863" 4 | Angola,21,0,20,2,37,80 5 | Benin,104,0,19,6,280,409 6 | Botswana,13,0,6,0,1,20 7 | Burkina Faso,105,0,35,2,131,273 8 | Burundi,35,0,7,0,64,106 9 | Cabo Verde,634,2,"1,086",1,0,"1,723" 10 | Cameroon,"1,308",13,458,11,"1,615","3,405" 11 | Central African Republic,19,0,3,2,8,32 12 | Chad,15,1,6,1,17,40 13 | Comoros,1,0,1,0,0,2 14 | "Congo, Dem. Rep. of the",547,1,186,2,"2,770","3,506" 15 | "Congo, Rep. of the",34,0,4,0,50,88 16 | Cote d'Ivoire,365,2,111,5,508,991 17 | Djibouti,34,0,7,12,33,86 18 | Egypt,"3,262",20,"1,016",163,"2,848","7,309" 19 | Equatorial Guinea,3,0,0,0,0,3 20 | Eritrea,458,1,180,35,149,823 21 | Ethiopia,"5,688",5,"2,030",52,"2,138","9,913" 22 | Gabon,27,0,5,1,8,41 23 | "Gambia, The",443,0,105,1,6,555 24 | Ghana,"3,263",3,"1,222",31,428,"4,947" 25 | Guinea,542,1,105,8,293,949 26 | Guinea-Bissau,8,0,4,0,0,12 27 | Kenya,"1,434",9,359,95,"1,092","2,989" 28 | Lesotho,7,0,1,0,0,8 29 | Liberia,964,11,293,4,"1,550","2,822" 30 | Libya,248,1,30,5,99,383 31 | Madagascar,9,0,6,8,29,52 32 | Malawi,13,0,10,0,0,23 33 | Mali,147,0,23,3,39,212 34 | Mauritania,65,0,12,1,6,84 35 | Mauritius,9,0,9,0,7,25 36 | Morocco,"2,013",8,359,24,"1,110","3,514" 37 | Western Sahara,0,0,0,0,0,0 38 | Mozambique,13,0,2,0,0,15 39 | Namibia,7,0,0,1,3,11 40 | Niger,83,0,9,2,13,107 41 | Nigeria,"6,225",61,"2,456",246,0,"8,988" 42 | Rwanda,34,0,16,8,240,298 43 | Sao Tome and Principe,6,0,2,0,0,8 44 | Senegal,568,6,106,14,136,830 45 | Seychelles,6,0,5,0,0,11 46 | Sierra Leone,674,1,119,5,381,"1,180" 47 | Somalia,"1,511",1,178,3,104,"1,797" 48 | South Africa,444,11,84,86,162,787 49 | South Sudan,86,0,2,0,10,98 50 | Sudan,642,1,121,12,"1,830","2,606" 51 | Swaziland,4,0,0,0,4,8 52 | Tanzania,164,1,79,7,28,279 53 | Togo,683,4,182,1,685,"1,555" 54 | Tunisia,226,1,16,12,97,352 55 | Uganda,366,3,103,56,158,686 56 | Zambia,76,0,15,22,18,131 57 | Zimbabwe,146,1,61,10,79,297 58 | Region Total For Africa,"34,245",171,"11,412",969,"20,535","67,332" 59 | Asia,,,,,, 60 | Afghanistan,818,"12,298",365,31,192,"13,704" 61 | Bahrain,13,0,22,9,2,46 62 | Bangladesh,"7,402",4,"9,667",74,0,"17,147" 63 | Bhutan,17,0,3,5,7,32 64 | Brunei,5,0,2,1,0,8 65 | Burma,627,2,584,19,138,"1,370" 66 | Cambodia,"1,783",0,541,33,266,"2,623" 67 | China - mainland born,"17,807",54,"15,535","8,673",0,"42,069" 68 | #NAME?,574,10,828,286,152,"1,850" 69 | Hong Kong S.A.R.,321,1,903,83,51,"1,359" 70 | India,"14,815",214,"15,655",676,0,"31,360" 71 | Indonesia,424,14,154,37,39,668 72 | Iran,"2,283",21,"2,407",294,"2,722","7,727" 73 | Iraq,958,"2,270",272,14,146,"3,660" 74 | Israel,435,10,105,79,31,660 75 | Japan,"1,318",23,95,116,163,"1,715" 76 | Jordan,"2,975",18,"1,611",71,163,"4,838" 77 | "Korea, North",4,0,1,4,0,9 78 | "Korea, South","1,638",25,804,"2,953",0,"5,420" 79 | Kuwait,272,0,182,25,56,535 80 | Laos,183,2,112,0,0,297 81 | Lebanon,969,5,791,80,71,"1,916" 82 | Malaysia,242,6,193,21,41,503 83 | Maldives,1,0,0,0,0,1 84 | Mongolia,110,1,23,3,155,292 85 | Nepal,"2,167",13,922,132,"3,210","6,444" 86 | Oman,10,0,14,0,4,28 87 | Pakistan,"7,440",62,"7,114",343,0,"14,959" 88 | Philippines,"15,875",219,"13,516","5,664",0,"35,274" 89 | Qatar,79,0,26,2,14,121 90 | Saudi Arabia,444,1,225,45,123,838 91 | Singapore,106,0,39,42,10,197 92 | Sri Lanka,378,0,242,17,302,939 93 | Syria,"1,265",10,"1,157",47,154,"2,633" 94 | Thailand,"1,198",9,274,20,26,"1,527" 95 | Timor-Leste,2,0,0,0,0,2 96 | United Arab Emirates,243,16,201,86,27,573 97 | Vietnam,"12,083",49,"20,269",563,0,"32,970" 98 | Yemen,"8,447",9,"4,116",30,396,"12,998" 99 | Region Total For Asia,"105,731","15,366","98,970","20,578","8,661","249,312" 100 | Europe,,,,,, 101 | Albania,"2,208",13,949,13,"1,502","4,685" 102 | Andorra,0,0,0,0,0,0 103 | Armenia,"1,126",2,279,3,992,"2,402" 104 | Austria,68,1,7,7,8,91 105 | Azerbaijan,171,3,65,5,195,439 106 | Belarus,306,3,94,35,560,998 107 | Belgium,65,0,10,11,11,97 108 | Bosnia and Herzegovina,189,0,125,4,48,366 109 | Bulgaria,648,7,164,17,608,"1,444" 110 | Croatia,79,3,22,4,21,129 111 | Cyprus,27,1,5,4,8,45 112 | Czech Republic,83,4,8,6,27,128 113 | Denmark,52,1,13,14,8,88 114 | Faroe Islands,0,0,0,0,0,0 115 | Greenland,0,0,0,0,0,0 116 | Estonia,24,0,13,0,10,47 117 | Finland,81,0,9,4,20,114 118 | France,508,6,136,77,165,892 119 | French Polynesia,5,0,0,0,0,5 120 | French Southern and Antarctic Lands,0,0,0,0,0,0 121 | New Caledonia,1,0,0,0,0,1 122 | St. Barthelemy,0,0,0,0,0,0 123 | Saint Martin,1,0,2,0,0,3 124 | St. Pierre and Miquelon,0,0,0,0,0,0 125 | Wallis and Futuna,0,0,0,0,0,0 126 | Georgia,450,7,138,10,360,965 127 | Germany,"1,035",6,137,86,265,"1,529" 128 | Great Britain and Northern Ireland,"1,987",10,481,369,0,"2,847" 129 | Anguilla,7,0,3,0,0,10 130 | Bermuda,30,0,8,2,0,40 131 | British Indian Ocean Territory,0,0,0,0,0,0 132 | British Virgin Islands,7,0,3,0,0,10 133 | Cayman Islands,16,0,6,0,0,22 134 | Falkland Islands,0,0,0,0,0,0 135 | Gibraltar,1,0,2,0,0,3 136 | Montserrat,2,1,4,0,0,7 137 | Pitcairn,0,0,0,0,0,0 138 | St. Helena,0,0,0,0,0,0 139 | South Georgia and the South Sandwich Islands,0,0,0,0,0,0 140 | Turks and Caicos Islands,6,0,2,0,0,8 141 | Greece,350,2,53,15,50,470 142 | Hungary,121,1,20,20,75,237 143 | Iceland,19,5,1,1,0,26 144 | Ireland,191,1,36,9,29,266 145 | Italy,577,8,124,74,159,942 146 | Kazakhstan,183,3,61,21,236,504 147 | Kosovo,392,0,112,9,164,677 148 | Kyrgyzstan,137,1,38,6,130,312 149 | Latvia,123,0,33,1,31,188 150 | Liechtenstein,0,0,0,0,0,0 151 | Lithuania,100,3,54,6,90,253 152 | Luxembourg,2,0,0,1,0,3 153 | Macedonia,295,1,203,3,206,708 154 | Malta,10,0,0,1,0,11 155 | Moldova,228,3,123,2,"1,187","1,543" 156 | Monaco,1,0,1,0,0,2 157 | Montenegro,138,0,82,0,6,226 158 | Netherlands,175,2,20,17,30,244 159 | Aruba,2,0,1,0,0,3 160 | Curacao,5,0,4,0,0,9 161 | Sint Maarten,16,0,9,0,0,25 162 | Northern Ireland (DV only),0,0,0,0,6,6 163 | Norway,61,2,12,3,3,81 164 | Svalbard,0,0,0,0,0,0 165 | Poland,781,23,810,43,305,"1,962" 166 | Portugal,94,1,57,24,9,185 167 | Macau,10,0,19,10,7,46 168 | Romania,567,29,253,7,325,"1,181" 169 | Russia,"1,720",16,487,144,"1,327","3,694" 170 | San Marino,0,0,0,0,0,0 171 | Serbia,216,1,93,3,210,523 172 | Slovakia,57,1,19,9,25,111 173 | Slovenia,8,1,4,4,4,21 174 | Spain,297,3,98,32,65,495 175 | Sweden,146,1,22,33,46,248 176 | Switzerland,86,1,6,3,22,118 177 | Tajikistan,38,1,23,12,231,305 178 | Turkey,616,22,177,103,737,"1,655" 179 | Turkmenistan,38,0,9,1,71,119 180 | Ukraine,"2,360",8,948,53,"1,762","5,131" 181 | Uzbekistan,399,14,546,12,"2,366","3,337" 182 | Vatican City,0,0,0,0,0,0 183 | Region Total For Europe,"19,742",222,"7,243","1,353","14,722","43,282" 184 | North America,,,,,, 185 | Antigua and Barbuda,103,1,80,4,0,188 186 | "Bahamas, The",123,0,37,19,5,184 187 | Barbados,79,1,65,3,0,148 188 | Belize,146,0,150,11,0,307 189 | Canada,"1,527",2,424,237,0,"2,190" 190 | Costa Rica,539,1,112,19,10,681 191 | Cuba,"4,411",7,"4,176",1,536,"9,131" 192 | Dominica,154,0,189,3,4,350 193 | Dominican Republic,"24,869",49,"28,335",86,0,"53,339" 194 | El Salvador,"8,320",10,"5,935",74,0,"14,339" 195 | Grenada,130,1,70,5,1,207 196 | Guatemala,"4,253",16,"2,239",10,9,"6,527" 197 | Haiti,"10,217",61,"8,427",105,0,"18,810" 198 | Honduras,"5,271",11,"1,966",58,24,"7,330" 199 | Jamaica,"9,629",20,"5,324",485,0,"15,458" 200 | Mexico,"63,764",37,"25,192",241,0,"89,234" 201 | Nicaragua,"1,420",8,678,5,4,"2,115" 202 | Panama,210,3,143,4,1,361 203 | Saint Kitts and Nevis,82,0,62,2,0,146 204 | Saint Lucia,217,1,90,9,0,317 205 | Saint Vincent and the Grenadines,125,0,71,10,0,206 206 | Trinidad and Tobago,781,2,533,20,20,"1,356" 207 | Region Total For North America,"136,370",231,"84,298","1,411",614,"222,924" 208 | Oceania,,,,,, 209 | Australia,469,3,37,50,246,805 210 | Christmas Island,0,0,0,0,0,0 211 | Cocos Islands,0,0,0,0,0,0 212 | Norfolk Island,0,0,0,0,0,0 213 | Fiji,213,3,271,1,129,617 214 | Kiribati,0,0,0,0,3,3 215 | Marshall Islands,11,0,0,0,0,11 216 | "Micronesia, Federated States of",3,0,0,0,0,3 217 | Nauru,0,0,0,0,0,0 218 | New Zealand,139,4,16,19,52,230 219 | Cook Islands,0,0,0,0,0,0 220 | Niue,0,0,0,0,0,0 221 | Tokelau,0,0,0,0,0,0 222 | Palau,0,0,0,0,0,0 223 | Papua New Guinea,3,0,1,0,0,4 224 | Samoa,46,0,2,0,0,48 225 | Solomon Islands,1,0,0,0,0,1 226 | Tonga,52,0,44,6,1,103 227 | Tuvalu,0,0,0,0,0,0 228 | Vanuatu,0,0,1,0,1,2 229 | Region Total for Oceania,937,10,372,76,432,"1,827" 230 | South America,,,,,, 231 | Argentina,414,7,158,77,22,678 232 | Bolivia,452,2,244,29,23,750 233 | Brazil,"2,710",11,426,163,0,"3,310" 234 | Chile,223,1,67,10,1,302 235 | Colombia,"4,686",38,"2,933",91,0,"7,748" 236 | Ecuador,"3,777",53,"2,767",85,0,"6,682" 237 | Guyana,"1,494",3,"3,357",12,3,"4,869" 238 | Paraguay,82,2,34,0,2,120 239 | Peru,"3,284",47,"2,593",39,0,"5,963" 240 | Suriname,19,0,41,0,2,62 241 | Uruguay,79,1,25,7,8,120 242 | Venezuela,"1,107",11,558,156,639,"2,471" 243 | Region Total For South America,"18,327",176,"13,203",669,700,"33,075" 244 | Worldwide Grand Totals,"315,352","16,176","215,498","25,056","45,664","617,752" -------------------------------------------------------------------------------- /raw_data/FY17AnnualReport-TableIII.csv: -------------------------------------------------------------------------------- 1 | Foreign State,Immediate Relatives,Special Immigrants,Family Preference,Employment Preference,Diversity Immigrants,Total 2 | Africa,,,,,, 3 | Algeria,413,2,153,21,992,"1,581" 4 | Angola,29,0,22,1,12,64 5 | Benin,128,0,27,5,236,396 6 | Botswana,6,0,2,1,2,11 7 | Burkina Faso,88,0,32,25,134,279 8 | Burundi,59,0,12,0,75,146 9 | Cabo Verde,556,1,"1,320",3,2,"1,882" 10 | Cameroon,"1,179",10,475,4,"1,206","2,874" 11 | Central African Republic,18,0,7,0,2,27 12 | Chad,14,0,0,0,10,24 13 | Comoros,0,0,0,0,1,1 14 | "Congo, Dem. Rep. of the",332,1,283,21,"2,664","3,301" 15 | "Congo, Rep. of the",27,0,8,0,42,77 16 | Cote d'Ivoire,397,1,191,0,440,"1,029" 17 | Djibouti,16,0,0,7,32,55 18 | Egypt,"1,884",25,"1,091",187,"3,576","6,763" 19 | Equatorial Guinea,2,0,0,0,0,2 20 | Eritrea,454,1,265,25,81,826 21 | Ethiopia,"4,390",15,"2,174",84,"2,553","9,216" 22 | Gabon,26,0,13,3,11,53 23 | "Gambia, The",433,1,135,4,14,587 24 | Ghana,"3,771",7,"1,625",21,796,"6,220" 25 | Guinea,524,0,120,5,204,853 26 | Guinea-Bissau,14,0,7,0,1,22 27 | Kenya,"1,876",10,529,166,"1,006","3,587" 28 | Lesotho,4,0,0,0,0,4 29 | Liberia,"1,200",7,569,28,994,"2,798" 30 | Libya,339,4,18,7,90,458 31 | Madagascar,10,0,3,7,2,22 32 | Malawi,19,0,1,0,8,28 33 | Mali,158,1,38,1,15,213 34 | Mauritania,78,0,17,0,12,107 35 | Mauritius,11,0,9,1,2,23 36 | Morocco,"1,367",9,313,14,"1,077","2,780" 37 | Western Sahara,0,0,0,0,0,0 38 | Mozambique,10,0,3,0,3,16 39 | Namibia,16,0,2,0,5,23 40 | Niger,79,0,10,17,6,112 41 | Nigeria,"3,831",46,"2,235",201,0,"6,313" 42 | Rwanda,43,0,34,12,158,247 43 | Sao Tome and Principe,5,0,2,0,0,7 44 | Senegal,622,1,171,12,98,904 45 | Seychelles,3,0,0,0,0,3 46 | Sierra Leone,914,1,265,5,340,"1,525" 47 | Somalia,"1,465",1,269,0,56,"1,791" 48 | South Africa,374,5,93,110,209,791 49 | South Sudan,96,1,17,0,6,120 50 | Sudan,556,6,99,9,"1,171","1,841" 51 | Swaziland,2,0,1,1,0,4 52 | Tanzania,144,1,65,24,43,277 53 | Togo,436,2,157,4,504,"1,103" 54 | Tunisia,174,0,17,13,60,264 55 | Uganda,342,2,112,41,91,588 56 | Zambia,82,1,21,2,15,121 57 | Zimbabwe,136,1,45,21,43,246 58 | Region Total For Africa,"29,152",163,"13,077","1,113","19,100","62,605" 59 | Asia,,,,,, 60 | Afghanistan,809,"16,370",333,15,144,"17,671" 61 | Bahrain,14,0,8,5,1,28 62 | Bangladesh,"5,330",10,"6,922",69,0,"12,331" 63 | Bhutan,23,0,7,0,7,37 64 | Brunei,1,0,0,1,0,2 65 | Burma,597,5,550,12,145,"1,309" 66 | Cambodia,"2,402",0,682,120,196,"3,400" 67 | China - mainland born,"12,318",39,"14,954","8,039",0,"35,350" 68 | #NAME?,391,6,659,311,148,"1,515" 69 | Hong Kong S.A.R.,214,1,813,84,16,"1,128" 70 | India,"11,568",140,"14,839",756,0,"27,303" 71 | Indonesia,332,6,171,15,37,561 72 | Iran,"2,054",23,"2,062",434,"2,070","6,643" 73 | Iraq,"1,092","2,138",330,15,145,"3,720" 74 | Israel,353,10,102,63,32,560 75 | Japan,"1,048",31,107,154,110,"1,450" 76 | Jordan,"2,337",31,"1,740",72,93,"4,273" 77 | "Korea, North",1,1,1,0,0,3 78 | "Korea, South","1,611",49,935,"2,298",0,"4,893" 79 | Kuwait,205,3,183,32,45,468 80 | Laos,182,0,97,17,0,296 81 | Lebanon,873,3,796,94,40,"1,806" 82 | Malaysia,166,2,161,50,25,404 83 | Maldives,1,0,0,0,0,1 84 | Mongolia,92,5,28,11,90,226 85 | Nepal,"1,690",21,994,170,"3,451","6,326" 86 | Oman,17,1,6,2,6,32 87 | Pakistan,"5,585",68,"6,148",342,0,"12,143" 88 | Philippines,"12,486",168,"13,478","4,278",0,"30,410" 89 | Qatar,42,1,26,8,9,86 90 | Saudi Arabia,350,8,218,42,103,721 91 | Singapore,92,2,57,20,9,180 92 | Sri Lanka,296,5,228,33,154,716 93 | Syria,"1,150",9,"1,177",91,124,"2,551" 94 | Thailand,"1,010",5,261,44,17,"1,337" 95 | Timor-Leste,0,0,0,0,0,0 96 | United Arab Emirates,184,19,190,87,31,511 97 | Vietnam,"9,974",53,"17,991",665,0,"28,719" 98 | Yemen,"3,584",3,"1,550",18,264,"5,419" 99 | Region Total For Asia,"80,474","19,236","88,804","18,467","7,512","214,529" 100 | Europe,,,,,, 101 | Albania,"1,429",7,950,28,"2,430","4,844" 102 | Andorra,0,0,0,0,0,0 103 | Armenia,736,4,306,65,"1,559","2,670" 104 | Austria,29,2,15,7,34,87 105 | Azerbaijan,181,1,54,10,433,679 106 | Belarus,245,2,131,19,792,"1,189" 107 | Belgium,67,2,13,11,36,129 108 | Bosnia and Herzegovina,158,0,132,6,83,379 109 | Bulgaria,429,5,131,23,535,"1,123" 110 | Croatia,43,2,30,8,21,104 111 | Cyprus,10,0,4,5,8,27 112 | Czech Republic,63,2,10,9,19,103 113 | Denmark,47,0,5,6,20,78 114 | Faroe Islands,0,0,0,0,0,0 115 | Greenland,0,0,0,0,0,0 116 | Estonia,25,0,6,1,12,44 117 | Finland,45,0,5,11,23,84 118 | France,411,8,85,115,219,838 119 | French Polynesia,1,0,1,0,0,2 120 | French Southern and Antarctic Lands,0,0,0,0,0,0 121 | New Caledonia,0,0,0,0,0,0 122 | St. Barthelemy,0,0,0,0,0,0 123 | Saint Martin,3,0,0,0,0,3 124 | St. Pierre and Miquelon,0,0,0,0,0,0 125 | Wallis and Futuna,0,0,0,0,0,0 126 | Georgia,406,1,133,14,547,"1,101" 127 | Germany,840,13,141,90,263,"1,347" 128 | Great Britain and Northern Ireland,"1,610",17,386,325,0,"2,338" 129 | Anguilla,5,0,8,0,0,13 130 | Bermuda,22,0,7,0,0,29 131 | British Indian Ocean Territory,0,0,0,0,0,0 132 | British Virgin Islands,4,0,5,1,0,10 133 | Cayman Islands,5,0,10,2,0,17 134 | Falkland Islands,0,0,0,0,0,0 135 | Gibraltar,1,0,0,0,0,1 136 | Montserrat,2,0,1,0,0,3 137 | Pitcairn,0,0,0,0,0,0 138 | St. Helena,0,0,0,0,0,0 139 | South Georgia and the South Sandwich Islands,0,0,0,0,0,0 140 | Turks and Caicos Islands,7,0,2,2,0,11 141 | Greece,239,4,61,24,90,418 142 | Hungary,98,1,36,20,70,225 143 | Iceland,7,1,4,1,9,22 144 | Ireland,120,0,24,14,23,181 145 | Italy,432,5,129,80,209,855 146 | Kazakhstan,137,6,75,23,446,687 147 | Kosovo,286,0,154,0,316,756 148 | Kyrgyzstan,120,0,48,6,220,394 149 | Latvia,110,0,13,4,22,149 150 | Liechtenstein,0,0,0,0,0,0 151 | Lithuania,79,1,29,5,94,208 152 | Luxembourg,2,1,0,0,2,5 153 | Macedonia,215,5,187,5,233,645 154 | Malta,11,0,0,0,0,11 155 | Moldova,171,4,73,18,"1,359","1,625" 156 | Monaco,0,0,0,1,0,1 157 | Montenegro,95,0,73,4,13,185 158 | Netherlands,121,0,13,13,28,175 159 | Aruba,7,0,7,0,0,14 160 | Curacao,10,0,3,0,0,13 161 | Sint Maarten,4,0,4,0,0,8 162 | Northern Ireland (DV only),0,0,0,0,4,4 163 | Norway,41,0,1,2,8,52 164 | Svalbard,0,0,0,0,0,0 165 | Poland,581,12,701,49,282,"1,625" 166 | Portugal,85,2,60,8,13,168 167 | Macau,8,0,22,8,1,39 168 | Romania,425,12,245,25,304,"1,011" 169 | Russia,"1,273",11,444,230,"1,731","3,689" 170 | San Marino,0,0,0,0,0,0 171 | Serbia,147,2,113,15,306,583 172 | Slovakia,40,1,10,6,28,85 173 | Slovenia,14,0,0,4,9,27 174 | Spain,268,8,65,40,84,465 175 | Sweden,133,3,18,14,51,219 176 | Switzerland,61,0,8,7,32,108 177 | Tajikistan,61,4,26,5,413,509 178 | Turkey,584,10,172,137,"1,303","2,206" 179 | Turkmenistan,36,0,21,0,92,149 180 | Ukraine,"1,691",20,983,70,"2,016","4,780" 181 | Uzbekistan,295,12,598,16,"3,195","4,116" 182 | Vatican City,0,0,0,0,0,0 183 | Region Total For Europe,"14,831",191,"6,991","1,612","20,040","43,665" 184 | North America,,,,,, 185 | Antigua and Barbuda,84,0,97,5,1,187 186 | "Bahamas, The",136,0,63,28,3,230 187 | Barbados,75,0,75,4,2,156 188 | Belize,130,1,120,2,3,256 189 | Canada,"1,206",4,321,247,0,"1,778" 190 | Costa Rica,554,2,111,7,12,686 191 | Cuba,"4,264",11,"4,791",4,383,"9,453" 192 | Dominica,163,0,166,5,3,337 193 | Dominican Republic,"19,452",78,"28,667",57,0,"48,254" 194 | El Salvador,"7,998",12,"7,046",49,0,"15,105" 195 | Grenada,134,0,81,10,6,231 196 | Guatemala,"4,045",20,"2,319",13,13,"6,410" 197 | Haiti,"7,577",51,"8,905",161,0,"16,694" 198 | Honduras,"3,241",9,"1,658",12,26,"4,946" 199 | Jamaica,"6,976",18,"5,941",760,0,"13,695" 200 | Mexico,"56,107",33,"27,627",278,0,"84,045" 201 | Nicaragua,"1,237",5,726,12,3,"1,983" 202 | Panama,200,2,128,5,0,335 203 | Saint Kitts and Nevis,65,0,89,0,0,154 204 | Saint Lucia,215,0,150,17,10,392 205 | Saint Vincent and the Grenadines,94,0,60,1,0,155 206 | Trinidad and Tobago,584,4,608,37,14,"1,247" 207 | Region Total For North America,"114,537",250,"89,749","1,714",479,"206,729" 208 | Oceania,,,,,, 209 | Australia,301,8,46,50,337,742 210 | Christmas Island,0,0,0,0,0,0 211 | Cocos Islands,0,0,0,0,0,0 212 | Norfolk Island,0,0,0,0,0,0 213 | Fiji,146,1,248,1,212,608 214 | Kiribati,1,0,0,0,0,1 215 | Marshall Islands,10,0,0,0,0,10 216 | "Micronesia, Federated States of",0,0,0,0,0,0 217 | Nauru,0,0,0,0,0,0 218 | New Zealand,86,3,10,17,121,237 219 | Cook Islands,0,0,0,0,0,0 220 | Niue,1,0,0,0,0,1 221 | Tokelau,0,0,0,0,0,0 222 | Palau,3,0,0,0,0,3 223 | Papua New Guinea,5,0,0,0,1,6 224 | Samoa,26,0,8,0,0,34 225 | Solomon Islands,2,0,0,0,0,2 226 | Tonga,33,0,64,0,24,121 227 | Tuvalu,1,0,0,0,0,1 228 | Vanuatu,0,0,0,0,0,0 229 | Region Total for Oceania,615,12,376,68,695,"1,766" 230 | South America,,,,,, 231 | Argentina,292,7,89,60,30,478 232 | Bolivia,307,3,225,11,10,556 233 | Brazil,"2,512",25,533,296,0,"3,366" 234 | Chile,183,0,71,21,13,288 235 | Colombia,"3,631",39,"3,096",82,0,"6,848" 236 | Ecuador,"3,307",39,"2,977",37,0,"6,360" 237 | Guyana,"1,126",2,"2,992",5,2,"4,127" 238 | Paraguay,77,3,29,0,2,111 239 | Peru,"2,379",51,"2,505",62,0,"4,997" 240 | Suriname,30,0,42,0,0,72 241 | Uruguay,76,1,39,7,7,130 242 | Venezuela,901,12,560,259,"1,177","2,909" 243 | Region Total For South America,"14,821",182,"13,158",840,"1,241","30,242" 244 | Worldwide Grand Totals,"254,430","20,034","212,155","23,814","49,067","559,536" -------------------------------------------------------------------------------- /raw_data/JANUARY 2018 - IV Issuances by FSC and Visa Class.csv: -------------------------------------------------------------------------------- 1 | Foreign State of Chargeability,, 2 | or Place of Birth,Visa Class,Issuances 3 | Afghanistan,CR1,3 4 | Afghanistan,DV1,2 5 | Afghanistan,DV2,1 6 | Afghanistan,DV3,1 7 | Afghanistan,F24,1 8 | Afghanistan,F25,1 9 | Afghanistan,F41,1 10 | Afghanistan,F42,1 11 | Afghanistan,F43,7 12 | Afghanistan,FX1,3 13 | Afghanistan,FX2,5 14 | Afghanistan,FX3,1 15 | Afghanistan,IR1,3 16 | Afghanistan,IR2,4 17 | Afghanistan,IR5,8 18 | Afghanistan,SB1,2 19 | Afghanistan,SQ1,133 20 | Afghanistan,SQ2,123 21 | Afghanistan,SQ3,342 22 | Albania,CR1,30 23 | Albania,DV1,103 24 | Albania,DV2,57 25 | Albania,DV3,48 26 | Albania,F11,4 27 | Albania,F12,1 28 | Albania,F21,5 29 | Albania,F22,3 30 | Albania,F24,1 31 | Albania,F31,1 32 | Albania,F32,1 33 | Albania,F41,7 34 | Albania,F42,5 35 | Albania,F43,6 36 | Albania,FX1,3 37 | Albania,IR1,7 38 | Albania,IR2,1 39 | Albania,IR5,85 40 | Algeria,CR1,14 41 | Algeria,DV1,61 42 | Algeria,DV2,19 43 | Algeria,DV3,21 44 | Algeria,F21,12 45 | Algeria,FX1,7 46 | Algeria,IR1,11 47 | Algeria,IR5,9 48 | Algeria,SB1,2 49 | Angola,F11,1 50 | Angola,IR5,1 51 | Anguilla,IR5,1 52 | Antigua and Barbuda,CR1,1 53 | Antigua and Barbuda,F11,3 54 | Antigua and Barbuda,F12,2 55 | Antigua and Barbuda,F41,1 56 | Antigua and Barbuda,IR2,3 57 | Antigua and Barbuda,IR5,2 58 | Argentina,CR1,2 59 | Argentina,CR2,1 60 | Argentina,E31,1 61 | Argentina,E35,1 62 | Argentina,F11,3 63 | Argentina,F12,2 64 | Argentina,F41,1 65 | Argentina,FX1,2 66 | Argentina,FX2,6 67 | Argentina,IR1,5 68 | Argentina,IR2,3 69 | Argentina,IR5,16 70 | Armenia,CR1,16 71 | Armenia,CR2,2 72 | Armenia,DV1,46 73 | Armenia,DV2,32 74 | Armenia,DV3,53 75 | Armenia,E11,1 76 | Armenia,E14,1 77 | Armenia,E31,1 78 | Armenia,E34,1 79 | Armenia,E35,3 80 | Armenia,F11,8 81 | Armenia,F12,5 82 | Armenia,F21,1 83 | Armenia,F22,1 84 | Armenia,F41,3 85 | Armenia,F42,3 86 | Armenia,F43,2 87 | Armenia,FX1,2 88 | Armenia,FX2,1 89 | Armenia,IH3,1 90 | Armenia,IR1,5 91 | Armenia,IR2,1 92 | Armenia,IR5,50 93 | Australia,CR1,10 94 | Australia,DV1,18 95 | Australia,DV2,10 96 | Australia,DV3,8 97 | Australia,E11,1 98 | Australia,E14,1 99 | Australia,E15,3 100 | Australia,F22,1 101 | Australia,F43,4 102 | Australia,FX2,1 103 | Australia,IR1,24 104 | Australia,IR2,2 105 | Australia,IR5,3 106 | Australia,IW1,1 107 | Austria,CR1,3 108 | Austria,DV1,1 109 | Austria,E31,1 110 | Austria,F41,1 111 | Austria,IR1,2 112 | Austria,IR5,2 113 | Austria,SB1,1 114 | Azerbaijan,CR1,1 115 | Azerbaijan,DV1,25 116 | Azerbaijan,DV2,13 117 | Azerbaijan,DV3,17 118 | Azerbaijan,E31,1 119 | Azerbaijan,E34,2 120 | Azerbaijan,EW5,1 121 | Azerbaijan,F11,1 122 | Azerbaijan,F21,2 123 | Azerbaijan,IH3,2 124 | Azerbaijan,IR1,1 125 | Azerbaijan,IR2,1 126 | Azerbaijan,IR5,8 127 | Azerbaijan,SE1,1 128 | "Bahamas, The",CR1,4 129 | "Bahamas, The",CR2,1 130 | "Bahamas, The",E31,1 131 | "Bahamas, The",E34,1 132 | "Bahamas, The",E35,2 133 | "Bahamas, The",F11,1 134 | "Bahamas, The",F12,1 135 | "Bahamas, The",IR1,2 136 | "Bahamas, The",IR2,2 137 | "Bahamas, The",IR3,1 138 | "Bahamas, The",IR5,4 139 | "Bahamas, The",IW1,1 140 | "Bahamas, The",IW2,1 141 | Bahrain,F33,1 142 | Bahrain,IR2,1 143 | Bahrain,IR5,1 144 | Bangladesh,CR1,103 145 | Bangladesh,CR2,1 146 | Bangladesh,F11,8 147 | Bangladesh,F12,1 148 | Bangladesh,F21,2 149 | Bangladesh,F23,2 150 | Bangladesh,F24,3 151 | Bangladesh,F31,1 152 | Bangladesh,F32,1 153 | Bangladesh,F33,2 154 | Bangladesh,F41,150 155 | Bangladesh,F42,125 156 | Bangladesh,F43,250 157 | Bangladesh,FX1,7 158 | Bangladesh,FX2,7 159 | Bangladesh,FX3,1 160 | Bangladesh,IR1,70 161 | Bangladesh,IR2,40 162 | Bangladesh,IR4,1 163 | Bangladesh,IR5,328 164 | Bangladesh,IW1,1 165 | Bangladesh,SB1,3 166 | Barbados,F22,1 167 | Barbados,FX1,1 168 | Barbados,FX3,1 169 | Barbados,IR1,3 170 | Barbados,IR2,2 171 | Barbados,IR5,3 172 | Belarus,CR1,3 173 | Belarus,DV1,23 174 | Belarus,DV2,11 175 | Belarus,DV3,7 176 | Belarus,F11,2 177 | Belarus,F12,1 178 | Belarus,F22,2 179 | Belarus,F31,1 180 | Belarus,F32,1 181 | Belarus,F33,2 182 | Belarus,IR1,3 183 | Belarus,IR5,9 184 | Belgium,CR1,1 185 | Belgium,DV1,2 186 | Belgium,DV2,1 187 | Belgium,E11,1 188 | Belgium,E21,1 189 | Belgium,E31,1 190 | Belgium,IR1,3 191 | Belgium,IR2,3 192 | Belize,CR1,1 193 | Belize,CR2,2 194 | Belize,F11,2 195 | Belize,IR1,1 196 | Belize,IR2,1 197 | Benin,CR1,2 198 | Benin,DV1,12 199 | Benin,DV2,2 200 | Benin,DV3,2 201 | Benin,IR2,6 202 | Benin,IR5,8 203 | Bermuda,IR1,1 204 | Bermuda,IR5,1 205 | Bhutan,CR1,1 206 | Bhutan,IR1,1 207 | Bhutan,IR2,1 208 | Bhutan,IR5,1 209 | Bolivia,CR1,2 210 | Bolivia,DV1,1 211 | Bolivia,E21,1 212 | Bolivia,E23,3 213 | Bolivia,E31,1 214 | Bolivia,E35,1 215 | Bolivia,EW3,1 216 | Bolivia,EW5,1 217 | Bolivia,F11,4 218 | Bolivia,F12,3 219 | Bolivia,F21,2 220 | Bolivia,F22,2 221 | Bolivia,F41,1 222 | Bolivia,F42,2 223 | Bolivia,F43,3 224 | Bolivia,FX1,1 225 | Bolivia,FX2,1 226 | Bolivia,IR1,11 227 | Bolivia,IR2,2 228 | Bolivia,IR5,7 229 | Bolivia,SB1,1 230 | Bosnia and Herzegovina,CR1,1 231 | Bosnia and Herzegovina,DV1,1 232 | Bosnia and Herzegovina,F11,1 233 | Bosnia and Herzegovina,F12,1 234 | Bosnia and Herzegovina,F31,1 235 | Bosnia and Herzegovina,FX2,2 236 | Bosnia and Herzegovina,IR1,2 237 | Bosnia and Herzegovina,IR2,1 238 | Bosnia and Herzegovina,IR5,4 239 | Botswana,CR1,1 240 | Brazil,CR1,53 241 | Brazil,CR2,4 242 | Brazil,E11,4 243 | Brazil,E14,5 244 | Brazil,E15,7 245 | Brazil,E21,1 246 | Brazil,E23,1 247 | Brazil,E31,5 248 | Brazil,E34,4 249 | Brazil,E35,4 250 | Brazil,F11,13 251 | Brazil,F12,4 252 | Brazil,F21,3 253 | Brazil,F22,1 254 | Brazil,F31,4 255 | Brazil,F32,2 256 | Brazil,F33,2 257 | Brazil,F41,4 258 | Brazil,F42,2 259 | Brazil,F43,3 260 | Brazil,FX1,9 261 | Brazil,FX2,7 262 | Brazil,I51,2 263 | Brazil,I52,2 264 | Brazil,I53,3 265 | Brazil,IR1,96 266 | Brazil,IR2,36 267 | Brazil,IR5,72 268 | Brazil,IW1,2 269 | Brazil,SE1,3 270 | Brazil,SE2,3 271 | British Virgin Islands,F41,2 272 | Brunei,IR2,1 273 | Bulgaria,CR1,3 274 | Bulgaria,DV1,17 275 | Bulgaria,DV2,6 276 | Bulgaria,DV3,4 277 | Bulgaria,E13,1 278 | Bulgaria,E14,1 279 | Bulgaria,E31,1 280 | Bulgaria,F11,3 281 | Bulgaria,F12,1 282 | Bulgaria,F21,3 283 | Bulgaria,F41,1 284 | Bulgaria,F42,1 285 | Bulgaria,FX2,1 286 | Bulgaria,IB1,1 287 | Bulgaria,IH3,13 288 | Bulgaria,IR1,2 289 | Bulgaria,IR2,1 290 | Bulgaria,IR5,21 291 | Burkina Faso,IH3,1 292 | Burkina Faso,IR1,1 293 | Burkina Faso,IR2,2 294 | Burkina Faso,IR5,3 295 | Burma,CR1,6 296 | Burma,DV1,4 297 | Burma,F11,1 298 | Burma,F21,1 299 | Burma,F22,2 300 | Burma,F24,3 301 | Burma,F25,1 302 | Burma,F31,2 303 | Burma,F32,3 304 | Burma,F33,3 305 | Burma,F41,5 306 | Burma,F42,3 307 | Burma,F43,2 308 | Burma,FX1,4 309 | Burma,FX3,1 310 | Burma,IR1,1 311 | Burma,IR5,19 312 | Burundi,CR1,2 313 | Burundi,DV1,4 314 | Burundi,IH3,1 315 | Burundi,IR1,3 316 | Burundi,IR2,1 317 | Burundi,IR5,3 318 | Cabo Verde,CR2,3 319 | Cabo Verde,F11,14 320 | Cabo Verde,F12,18 321 | Cabo Verde,F21,2 322 | Cabo Verde,F22,7 323 | Cabo Verde,F23,1 324 | Cabo Verde,F24,21 325 | Cabo Verde,F25,21 326 | Cabo Verde,F31,1 327 | Cabo Verde,F32,1 328 | Cabo Verde,F33,3 329 | Cabo Verde,F41,3 330 | Cabo Verde,F42,1 331 | Cabo Verde,F43,3 332 | Cabo Verde,FX1,4 333 | Cabo Verde,FX2,2 334 | Cabo Verde,FX3,5 335 | Cabo Verde,IR2,9 336 | Cabo Verde,IR5,14 337 | Cambodia,CR1,25 338 | Cambodia,CR2,2 339 | Cambodia,DV1,4 340 | Cambodia,DV2,1 341 | Cambodia,DV3,2 342 | Cambodia,F11,6 343 | Cambodia,F12,2 344 | Cambodia,F24,2 345 | Cambodia,F33,1 346 | Cambodia,F41,1 347 | Cambodia,F43,2 348 | Cambodia,FX1,1 349 | Cambodia,FX2,3 350 | Cambodia,IR1,27 351 | Cambodia,IR2,11 352 | Cambodia,IR5,70 353 | Cambodia,SE1,8 354 | Cambodia,SE2,8 355 | Cambodia,SE3,20 356 | Cameroon,CR1,14 357 | Cameroon,DV1,71 358 | Cameroon,DV2,14 359 | Cameroon,DV3,29 360 | Cameroon,E34,1 361 | Cameroon,F11,3 362 | Cameroon,F12,1 363 | Cameroon,F21,4 364 | Cameroon,F22,4 365 | Cameroon,F23,5 366 | Cameroon,F24,2 367 | Cameroon,F25,1 368 | Cameroon,F41,2 369 | Cameroon,F42,2 370 | Cameroon,F43,3 371 | Cameroon,FX1,5 372 | Cameroon,FX2,7 373 | Cameroon,FX3,6 374 | Cameroon,IB2,1 375 | Cameroon,IB3,3 376 | Cameroon,IR1,6 377 | Cameroon,IR2,19 378 | Cameroon,IR5,47 379 | Cameroon,SB1,1 380 | Canada,CR1,37 381 | Canada,CR2,6 382 | Canada,E11,6 383 | Canada,E14,1 384 | Canada,E15,3 385 | Canada,E21,2 386 | Canada,E31,3 387 | Canada,EW3,1 388 | Canada,F11,3 389 | Canada,F12,3 390 | Canada,F22,2 391 | Canada,F23,2 392 | Canada,F24,1 393 | Canada,F25,2 394 | Canada,F31,1 395 | Canada,F32,1 396 | Canada,F33,1 397 | Canada,F43,3 398 | Canada,FX1,3 399 | Canada,FX3,6 400 | Canada,I51,4 401 | Canada,I52,4 402 | Canada,I53,7 403 | Canada,IB2,1 404 | Canada,IR1,29 405 | Canada,IR2,16 406 | Canada,IR5,9 407 | Cayman Islands,F33,2 408 | Cayman Islands,IR2,1 409 | Chad,IR1,1 410 | Chile,CR1,2 411 | Chile,F11,1 412 | Chile,F21,2 413 | Chile,F31,1 414 | Chile,F32,1 415 | Chile,F33,2 416 | Chile,F41,2 417 | Chile,FX1,1 418 | Chile,FX3,1 419 | Chile,IR1,3 420 | Chile,IR5,5 421 | Chile,SB1,2 422 | China - mainland born,C51,2 423 | China - mainland born,C53,1 424 | China - mainland born,CR1,134 425 | China - mainland born,CR2,30 426 | China - mainland born,E11,63 427 | China - mainland born,E13,1 428 | China - mainland born,E14,55 429 | China - mainland born,E15,87 430 | China - mainland born,E21,3 431 | China - mainland born,E22,4 432 | China - mainland born,E23,7 433 | China - mainland born,E31,7 434 | China - mainland born,E34,11 435 | China - mainland born,E35,9 436 | China - mainland born,EW4,2 437 | China - mainland born,F11,36 438 | China - mainland born,F12,12 439 | China - mainland born,F21,92 440 | China - mainland born,F22,45 441 | China - mainland born,F23,3 442 | China - mainland born,F24,30 443 | China - mainland born,F25,9 444 | China - mainland born,F31,51 445 | China - mainland born,F32,49 446 | China - mainland born,F33,58 447 | China - mainland born,F41,116 448 | China - mainland born,F42,92 449 | China - mainland born,F43,104 450 | China - mainland born,FX1,103 451 | China - mainland born,FX2,60 452 | China - mainland born,FX3,7 453 | China - mainland born,I51,172 454 | China - mainland born,I52,120 455 | China - mainland born,I53,207 456 | China - mainland born,IB3,2 457 | China - mainland born,IH3,127 458 | China - mainland born,IR1,153 459 | China - mainland born,IR2,42 460 | China - mainland born,IR5,458 461 | China - mainland born,SB1,7 462 | China - mainland born,SE1,2 463 | China - mainland born,T51,1 464 | China - mainland born,T52,1 465 | China - mainland born,T53,1 466 | China - Taiwan born,CR1,7 467 | China - Taiwan born,DV1,2 468 | China - Taiwan born,DV2,1 469 | China - Taiwan born,DV3,2 470 | China - Taiwan born,E21,9 471 | China - Taiwan born,E22,6 472 | China - Taiwan born,E23,2 473 | China - Taiwan born,E35,2 474 | China - Taiwan born,F11,10 475 | China - Taiwan born,F12,2 476 | China - Taiwan born,F21,3 477 | China - Taiwan born,F24,3 478 | China - Taiwan born,F31,1 479 | China - Taiwan born,F32,1 480 | China - Taiwan born,F33,2 481 | China - Taiwan born,F41,16 482 | China - Taiwan born,F42,10 483 | China - Taiwan born,F43,17 484 | China - Taiwan born,FX1,2 485 | China - Taiwan born,FX2,1 486 | China - Taiwan born,I51,16 487 | China - Taiwan born,I52,12 488 | China - Taiwan born,I53,20 489 | China - Taiwan born,IR1,11 490 | China - Taiwan born,IR2,3 491 | China - Taiwan born,IR5,19 492 | China - Taiwan born,T51,1 493 | Colombia,CR1,53 494 | Colombia,CR2,29 495 | Colombia,E21,1 496 | Colombia,E22,1 497 | Colombia,F11,29 498 | Colombia,F12,9 499 | Colombia,F21,2 500 | Colombia,F22,6 501 | Colombia,F24,26 502 | Colombia,F25,16 503 | Colombia,F31,5 504 | Colombia,F32,4 505 | Colombia,F33,7 506 | Colombia,F41,25 507 | Colombia,F42,18 508 | Colombia,F43,28 509 | Colombia,FX1,13 510 | Colombia,FX2,12 511 | Colombia,FX3,5 512 | Colombia,IH3,7 513 | Colombia,IR1,61 514 | Colombia,IR2,76 515 | Colombia,IR5,110 516 | Colombia,IW1,1 517 | Colombia,SB1,2 518 | "Congo, Democratic Republic of the",CR1,5 519 | "Congo, Democratic Republic of the",DV1,50 520 | "Congo, Democratic Republic of the",DV2,23 521 | "Congo, Democratic Republic of the",DV3,46 522 | "Congo, Democratic Republic of the",F11,2 523 | "Congo, Democratic Republic of the",F12,1 524 | "Congo, Democratic Republic of the",F21,6 525 | "Congo, Democratic Republic of the",F22,5 526 | "Congo, Democratic Republic of the",FX1,6 527 | "Congo, Democratic Republic of the",FX2,10 528 | "Congo, Democratic Republic of the",IR1,2 529 | "Congo, Democratic Republic of the",IR2,3 530 | "Congo, Democratic Republic of the",IR3,1 531 | "Congo, Democratic Republic of the",IR5,22 532 | "Congo, Republic of the",DV1,1 533 | "Congo, Republic of the",DV2,1 534 | "Congo, Republic of the",FX2,1 535 | "Congo, Republic of the",IR2,2 536 | "Congo, Republic of the",IR5,3 537 | Costa Rica,CR1,6 538 | Costa Rica,E21,1 539 | Costa Rica,EW3,1 540 | Costa Rica,EW4,1 541 | Costa Rica,F11,5 542 | Costa Rica,F12,3 543 | Costa Rica,F21,1 544 | Costa Rica,F24,3 545 | Costa Rica,F25,5 546 | Costa Rica,F41,2 547 | Costa Rica,F42,1 548 | Costa Rica,F43,1 549 | Costa Rica,FX1,2 550 | Costa Rica,IR1,25 551 | Costa Rica,IR2,8 552 | Costa Rica,IR5,8 553 | Cote d'Ivoire,CR1,5 554 | Cote d'Ivoire,DV1,10 555 | Cote d'Ivoire,DV2,3 556 | Cote d'Ivoire,DV3,3 557 | Cote d'Ivoire,F11,1 558 | Cote d'Ivoire,FX1,3 559 | Cote d'Ivoire,FX3,3 560 | Cote d'Ivoire,IR1,4 561 | Cote d'Ivoire,IR2,8 562 | Cote d'Ivoire,IR3,4 563 | Cote d'Ivoire,IR5,5 564 | Cote d'Ivoire,SE1,1 565 | Croatia,DV1,2 566 | Croatia,DV2,1 567 | Croatia,E11,1 568 | Croatia,F33,4 569 | Croatia,F41,1 570 | Croatia,IR1,3 571 | Croatia,IR2,1 572 | Croatia,IR5,1 573 | Cuba,CR1,28 574 | Cuba,CR2,8 575 | Cuba,DV1,7 576 | Cuba,DV2,3 577 | Cuba,DV3,3 578 | Cuba,F11,4 579 | Cuba,F12,1 580 | Cuba,F21,30 581 | Cuba,F22,25 582 | Cuba,F23,20 583 | Cuba,F24,2 584 | Cuba,F31,1 585 | Cuba,F32,1 586 | Cuba,F33,1 587 | Cuba,FX1,178 588 | Cuba,FX2,140 589 | Cuba,FX3,131 590 | Cuba,IR1,13 591 | Cuba,IR2,36 592 | Cuba,IR5,251 593 | Curacao,IR5,1 594 | Cyprus,CR1,1 595 | Cyprus,E34,1 596 | Cyprus,FX2,1 597 | Czech Republic,DV1,3 598 | Czech Republic,DV2,1 599 | Czech Republic,IR1,3 600 | Czech Republic,IR2,1 601 | Denmark,CR1,1 602 | Denmark,DV1,1 603 | Denmark,DV2,1 604 | Denmark,DV3,1 605 | Denmark,E21,1 606 | Denmark,E22,1 607 | Denmark,FX3,1 608 | Denmark,IR1,2 609 | Djibouti,CR1,1 610 | Djibouti,IR5,2 611 | Dominica,CR1,3 612 | Dominica,E31,2 613 | Dominica,E34,1 614 | Dominica,E35,3 615 | Dominica,F11,3 616 | Dominica,F12,2 617 | Dominica,F24,1 618 | Dominica,F25,1 619 | Dominica,F41,1 620 | Dominica,FX1,2 621 | Dominica,IR2,4 622 | Dominica,IR5,5 623 | Dominican Republic,CR1,338 624 | Dominican Republic,CR2,150 625 | Dominican Republic,F11,194 626 | Dominican Republic,F12,230 627 | Dominican Republic,F21,172 628 | Dominican Republic,F22,76 629 | Dominican Republic,F23,89 630 | Dominican Republic,F24,480 631 | Dominican Republic,F25,570 632 | Dominican Republic,F31,15 633 | Dominican Republic,F32,14 634 | Dominican Republic,F33,38 635 | Dominican Republic,F41,46 636 | Dominican Republic,F42,24 637 | Dominican Republic,F43,58 638 | Dominican Republic,FX1,214 639 | Dominican Republic,FX2,88 640 | Dominican Republic,FX3,182 641 | Dominican Republic,IB1,1 642 | Dominican Republic,IB3,3 643 | Dominican Republic,IH3,1 644 | Dominican Republic,IR1,290 645 | Dominican Republic,IR2,313 646 | Dominican Republic,IR5,400 647 | Dominican Republic,IW1,4 648 | Dominican Republic,IW2,4 649 | Dominican Republic,SB1,3 650 | Dominican Republic,SE1,1 651 | Ecuador,CR1,38 652 | Ecuador,CR2,12 653 | Ecuador,DV1,11 654 | Ecuador,DV2,5 655 | Ecuador,DV3,5 656 | Ecuador,E31,1 657 | Ecuador,E32,1 658 | Ecuador,E34,1 659 | Ecuador,E35,1 660 | Ecuador,EW3,2 661 | Ecuador,EW5,1 662 | Ecuador,F11,31 663 | Ecuador,F12,20 664 | Ecuador,F21,9 665 | Ecuador,F22,6 666 | Ecuador,F23,11 667 | Ecuador,F24,32 668 | Ecuador,F25,25 669 | Ecuador,F31,5 670 | Ecuador,F32,4 671 | Ecuador,F33,5 672 | Ecuador,F41,15 673 | Ecuador,F42,6 674 | Ecuador,F43,21 675 | Ecuador,FX1,17 676 | Ecuador,FX2,10 677 | Ecuador,FX3,7 678 | Ecuador,IR1,153 679 | Ecuador,IR2,77 680 | Ecuador,IR5,123 681 | Ecuador,IW1,1 682 | Ecuador,SB1,1 683 | Ecuador,SE1,1 684 | Ecuador,SE3,1 685 | Ecuador,SU3,2 686 | Egypt,CR1,41 687 | Egypt,DV1,99 688 | Egypt,DV2,67 689 | Egypt,DV3,126 690 | Egypt,E11,2 691 | Egypt,E14,1 692 | Egypt,E15,3 693 | Egypt,E21,2 694 | Egypt,E22,1 695 | Egypt,E23,6 696 | Egypt,E31,1 697 | Egypt,F11,3 698 | Egypt,F21,4 699 | Egypt,F22,2 700 | Egypt,F31,2 701 | Egypt,F32,2 702 | Egypt,F33,3 703 | Egypt,F41,14 704 | Egypt,F42,9 705 | Egypt,F43,13 706 | Egypt,FX1,6 707 | Egypt,FX2,14 708 | Egypt,I51,1 709 | Egypt,I52,2 710 | Egypt,I53,4 711 | Egypt,IR1,40 712 | Egypt,IR2,59 713 | Egypt,IR5,63 714 | El Salvador,CR1,98 715 | El Salvador,CR2,47 716 | El Salvador,E31,1 717 | El Salvador,F11,61 718 | El Salvador,F12,41 719 | El Salvador,F21,28 720 | El Salvador,F22,15 721 | El Salvador,F23,19 722 | El Salvador,F24,64 723 | El Salvador,F25,46 724 | El Salvador,F31,4 725 | El Salvador,F32,3 726 | El Salvador,F33,9 727 | El Salvador,F41,25 728 | El Salvador,F42,11 729 | El Salvador,F43,20 730 | El Salvador,FX1,80 731 | El Salvador,FX2,51 732 | El Salvador,FX3,42 733 | El Salvador,IR1,424 734 | El Salvador,IR2,170 735 | El Salvador,IR5,185 736 | El Salvador,SU3,2 737 | Equatorial Guinea,DV1,1 738 | Equatorial Guinea,DV2,1 739 | Eritrea,CR1,21 740 | Eritrea,DV1,7 741 | Eritrea,DV2,1 742 | Eritrea,DV3,1 743 | Eritrea,F11,2 744 | Eritrea,F21,2 745 | Eritrea,F22,1 746 | Eritrea,FX1,2 747 | Eritrea,FX2,1 748 | Eritrea,IR1,10 749 | Eritrea,IR2,3 750 | Eritrea,IR5,15 751 | Eritrea,SE1,2 752 | Eritrea,SE2,1 753 | Estonia,CR1,1 754 | Estonia,DV1,1 755 | Estonia,DV2,1 756 | Estonia,DV3,1 757 | Ethiopia,CR1,108 758 | Ethiopia,DV1,154 759 | Ethiopia,DV2,35 760 | Ethiopia,DV3,39 761 | Ethiopia,F11,5 762 | Ethiopia,F12,1 763 | Ethiopia,F21,2 764 | Ethiopia,F22,2 765 | Ethiopia,F24,3 766 | Ethiopia,F25,1 767 | Ethiopia,F41,2 768 | Ethiopia,F42,2 769 | Ethiopia,F43,4 770 | Ethiopia,FX1,8 771 | Ethiopia,FX2,18 772 | Ethiopia,FX3,2 773 | Ethiopia,I52,1 774 | Ethiopia,IR1,75 775 | Ethiopia,IR2,66 776 | Ethiopia,IR3,23 777 | Ethiopia,IR5,176 778 | Ethiopia,SB1,1 779 | Ethiopia,SE1,3 780 | Ethiopia,SE2,3 781 | Ethiopia,SE3,8 782 | Fiji,CR1,9 783 | Fiji,DV1,6 784 | Fiji,DV2,3 785 | Fiji,DV3,7 786 | Fiji,F11,2 787 | Fiji,F31,2 788 | Fiji,F32,2 789 | Fiji,F33,4 790 | Fiji,FX2,1 791 | Fiji,IR2,1 792 | Fiji,IR5,5 793 | Finland,CR1,1 794 | Finland,CR2,2 795 | Finland,DV1,1 796 | Finland,E11,1 797 | Finland,IR1,2 798 | France,CR1,15 799 | France,CR2,4 800 | France,DV1,10 801 | France,DV2,1 802 | France,E11,1 803 | France,E14,1 804 | France,E15,3 805 | France,E21,2 806 | France,E22,1 807 | France,E23,1 808 | France,E32,1 809 | France,E34,1 810 | France,F11,1 811 | France,F12,2 812 | France,F21,1 813 | France,F24,2 814 | France,F43,3 815 | France,I51,2 816 | France,I52,2 817 | France,I53,7 818 | France,IR1,15 819 | France,IR2,8 820 | France,IR5,4 821 | Gabon,FX1,1 822 | "Gambia, The",CR1,2 823 | "Gambia, The",F21,1 824 | "Gambia, The",F22,3 825 | "Gambia, The",F24,2 826 | "Gambia, The",F25,2 827 | "Gambia, The",IR1,5 828 | "Gambia, The",IR2,11 829 | "Gambia, The",IR3,1 830 | "Gambia, The",IR5,8 831 | Georgia,CR1,3 832 | Georgia,CR2,3 833 | Georgia,DV1,27 834 | Georgia,DV2,12 835 | Georgia,DV3,17 836 | Georgia,F11,2 837 | Georgia,F21,2 838 | Georgia,F22,1 839 | Georgia,F23,1 840 | Georgia,F31,1 841 | Georgia,F32,1 842 | Georgia,F33,2 843 | Georgia,FX1,1 844 | Georgia,IR1,4 845 | Georgia,IR2,2 846 | Georgia,IR5,18 847 | Georgia,SE1,2 848 | Georgia,SE2,2 849 | Georgia,SE3,4 850 | Germany,CR1,31 851 | Germany,CR2,1 852 | Germany,DV1,11 853 | Germany,DV2,8 854 | Germany,DV3,8 855 | Germany,E15,3 856 | Germany,E21,1 857 | Germany,E22,2 858 | Germany,E23,1 859 | Germany,E31,2 860 | Germany,E34,2 861 | Germany,F11,1 862 | Germany,F21,1 863 | Germany,F32,1 864 | Germany,FX1,1 865 | Germany,IR1,34 866 | Germany,IR2,3 867 | Germany,IR5,10 868 | Ghana,CR1,105 869 | Ghana,CR2,5 870 | Ghana,DV1,25 871 | Ghana,DV2,7 872 | Ghana,DV3,11 873 | Ghana,F11,20 874 | Ghana,F12,8 875 | Ghana,F21,13 876 | Ghana,F22,9 877 | Ghana,F23,6 878 | Ghana,F24,3 879 | Ghana,F31,1 880 | Ghana,F32,1 881 | Ghana,F33,3 882 | Ghana,F41,1 883 | Ghana,F42,1 884 | Ghana,F43,1 885 | Ghana,FX1,14 886 | Ghana,FX2,16 887 | Ghana,FX3,10 888 | Ghana,I51,1 889 | Ghana,I52,1 890 | Ghana,I53,1 891 | Ghana,IB2,1 892 | Ghana,IR1,110 893 | Ghana,IR2,122 894 | Ghana,IR3,2 895 | Ghana,IR5,108 896 | Ghana,IW1,1 897 | Great Britain and Northern Ireland,CR1,43 898 | Great Britain and Northern Ireland,E11,1 899 | Great Britain and Northern Ireland,E13,1 900 | Great Britain and Northern Ireland,E14,4 901 | Great Britain and Northern Ireland,E15,6 902 | Great Britain and Northern Ireland,E21,2 903 | Great Britain and Northern Ireland,E23,2 904 | Great Britain and Northern Ireland,E31,2 905 | Great Britain and Northern Ireland,E34,1 906 | Great Britain and Northern Ireland,E35,7 907 | Great Britain and Northern Ireland,F11,7 908 | Great Britain and Northern Ireland,F12,3 909 | Great Britain and Northern Ireland,F24,1 910 | Great Britain and Northern Ireland,F25,1 911 | Great Britain and Northern Ireland,F31,2 912 | Great Britain and Northern Ireland,F32,2 913 | Great Britain and Northern Ireland,F33,7 914 | Great Britain and Northern Ireland,F41,2 915 | Great Britain and Northern Ireland,F43,6 916 | Great Britain and Northern Ireland,FX2,1 917 | Great Britain and Northern Ireland,I51,3 918 | Great Britain and Northern Ireland,I52,2 919 | Great Britain and Northern Ireland,I53,2 920 | Great Britain and Northern Ireland,IR1,41 921 | Great Britain and Northern Ireland,IR2,7 922 | Great Britain and Northern Ireland,IR5,17 923 | Great Britain and Northern Ireland,SB1,1 924 | Greece,CR1,1 925 | Greece,DV1,3 926 | Greece,DV2,3 927 | Greece,DV3,3 928 | Greece,E21,1 929 | Greece,F43,1 930 | Greece,IR1,3 931 | Greece,IR2,1 932 | Greece,IR5,3 933 | Grenada,CR1,3 934 | Grenada,E22,1 935 | Grenada,F11,1 936 | Grenada,F12,1 937 | Grenada,F24,1 938 | Grenada,F25,1 939 | Grenada,F41,1 940 | Grenada,IR1,3 941 | Grenada,IR2,8 942 | Grenada,IR3,1 943 | Grenada,IR5,7 944 | Grenada,IW1,1 945 | Guatemala,B23,1 946 | Guatemala,CR1,38 947 | Guatemala,CR2,5 948 | Guatemala,DV1,2 949 | Guatemala,DV3,1 950 | Guatemala,EW3,1 951 | Guatemala,EW4,2 952 | Guatemala,EW5,6 953 | Guatemala,F11,28 954 | Guatemala,F12,20 955 | Guatemala,F21,6 956 | Guatemala,F22,8 957 | Guatemala,F23,5 958 | Guatemala,F24,18 959 | Guatemala,F25,10 960 | Guatemala,F31,2 961 | Guatemala,F32,2 962 | Guatemala,F33,4 963 | Guatemala,F41,15 964 | Guatemala,F42,7 965 | Guatemala,F43,11 966 | Guatemala,FX1,40 967 | Guatemala,FX2,20 968 | Guatemala,FX3,19 969 | Guatemala,IR1,416 970 | Guatemala,IR2,58 971 | Guatemala,IR5,50 972 | Guatemala,IW1,2 973 | Guatemala,SB1,1 974 | Guatemala,SU3,1 975 | Guinea,CR1,8 976 | Guinea,DV1,2 977 | Guinea,F11,2 978 | Guinea,F12,3 979 | Guinea,FX1,2 980 | Guinea,FX2,2 981 | Guinea,IR1,9 982 | Guinea,IR2,18 983 | Guinea,IR5,26 984 | Guyana,CR1,23 985 | Guyana,CR2,4 986 | Guyana,F11,55 987 | Guyana,F12,62 988 | Guyana,F21,6 989 | Guyana,F23,1 990 | Guyana,F24,12 991 | Guyana,F25,13 992 | Guyana,F31,13 993 | Guyana,F32,12 994 | Guyana,F33,12 995 | Guyana,F41,13 996 | Guyana,F42,9 997 | Guyana,F43,20 998 | Guyana,FX1,8 999 | Guyana,FX2,6 1000 | Guyana,IR1,24 1001 | Guyana,IR2,24 1002 | Guyana,IR3,1 1003 | Guyana,IR5,30 1004 | Haiti,CR1,70 1005 | Haiti,CR2,27 1006 | Haiti,F11,70 1007 | Haiti,F12,52 1008 | Haiti,F21,18 1009 | Haiti,F22,16 1010 | Haiti,F23,4 1011 | Haiti,F24,98 1012 | Haiti,F25,111 1013 | Haiti,F31,3 1014 | Haiti,F33,3 1015 | Haiti,F41,22 1016 | Haiti,F42,9 1017 | Haiti,F43,26 1018 | Haiti,FX1,71 1019 | Haiti,FX2,67 1020 | Haiti,FX3,50 1021 | Haiti,IH3,6 1022 | Haiti,IR1,166 1023 | Haiti,IR2,237 1024 | Haiti,IR3,1 1025 | Haiti,IR5,215 1026 | Haiti,SB1,1 1027 | Haiti,SE1,1 1028 | Haiti,SE3,1 1029 | Honduras,CR1,25 1030 | Honduras,CR2,9 1031 | Honduras,EW3,3 1032 | Honduras,F11,14 1033 | Honduras,F12,8 1034 | Honduras,F24,2 1035 | Honduras,F25,8 1036 | Honduras,F31,4 1037 | Honduras,F32,2 1038 | Honduras,F33,1 1039 | Honduras,F41,10 1040 | Honduras,F42,4 1041 | Honduras,F43,6 1042 | Honduras,FX1,34 1043 | Honduras,FX2,7 1044 | Honduras,FX3,22 1045 | Honduras,IB3,3 1046 | Honduras,IR1,351 1047 | Honduras,IR2,82 1048 | Honduras,IR3,2 1049 | Honduras,IR5,47 1050 | Hong Kong S.A.R.,CR1,4 1051 | Hong Kong S.A.R.,DV1,3 1052 | Hong Kong S.A.R.,DV2,2 1053 | Hong Kong S.A.R.,E22,1 1054 | Hong Kong S.A.R.,F11,2 1055 | Hong Kong S.A.R.,F21,1 1056 | Hong Kong S.A.R.,F31,5 1057 | Hong Kong S.A.R.,F32,4 1058 | Hong Kong S.A.R.,F33,10 1059 | Hong Kong S.A.R.,F41,10 1060 | Hong Kong S.A.R.,F42,5 1061 | Hong Kong S.A.R.,F43,17 1062 | Hong Kong S.A.R.,FX1,1 1063 | Hong Kong S.A.R.,FX3,2 1064 | Hong Kong S.A.R.,I51,5 1065 | Hong Kong S.A.R.,I52,3 1066 | Hong Kong S.A.R.,I53,5 1067 | Hong Kong S.A.R.,IH4,1 1068 | Hong Kong S.A.R.,IR1,11 1069 | Hong Kong S.A.R.,IR2,4 1070 | Hong Kong S.A.R.,IR5,6 1071 | Hong Kong S.A.R.,SE1,1 1072 | Hong Kong S.A.R.,SE2,1 1073 | Hong Kong S.A.R.,T51,1 1074 | Hong Kong S.A.R.,T52,1 1075 | Hungary,CR1,3 1076 | Hungary,CR2,1 1077 | Hungary,DV1,1 1078 | Hungary,E11,2 1079 | Hungary,E14,2 1080 | Hungary,E15,1 1081 | Hungary,E21,1 1082 | Hungary,E35,1 1083 | Hungary,F24,1 1084 | Hungary,FX1,2 1085 | Hungary,FX2,1 1086 | Hungary,FX3,2 1087 | Hungary,I51,1 1088 | Hungary,I52,1 1089 | Hungary,I53,2 1090 | Hungary,IR1,6 1091 | Hungary,IR2,1 1092 | Hungary,IR5,4 1093 | India,CR1,355 1094 | India,CR2,13 1095 | India,E11,6 1096 | India,E13,1 1097 | India,E14,7 1098 | India,E15,10 1099 | India,E21,2 1100 | India,E22,2 1101 | India,E23,4 1102 | India,E31,8 1103 | India,E32,1 1104 | India,E34,11 1105 | India,E35,24 1106 | India,EW3,1 1107 | India,EW4,1 1108 | India,EW5,2 1109 | India,F11,23 1110 | India,F12,8 1111 | India,F21,61 1112 | India,F22,8 1113 | India,F23,4 1114 | India,F24,8 1115 | India,F31,65 1116 | India,F32,64 1117 | India,F33,87 1118 | India,F41,329 1119 | India,F42,306 1120 | India,F43,391 1121 | India,FX1,53 1122 | India,FX2,6 1123 | India,FX3,14 1124 | India,I51,13 1125 | India,I52,6 1126 | India,I53,10 1127 | India,IH3,32 1128 | India,IR1,69 1129 | India,IR2,20 1130 | India,IR5,665 1131 | India,IW1,1 1132 | India,SB1,3 1133 | India,SD2,2 1134 | India,SD3,4 1135 | India,SE1,3 1136 | India,SE2,1 1137 | India,SE3,1 1138 | India,SR2,2 1139 | India,SR3,3 1140 | India,T51,3 1141 | India,T52,3 1142 | India,T53,6 1143 | Indonesia,CR1,9 1144 | Indonesia,CR2,1 1145 | Indonesia,E31,1 1146 | Indonesia,E34,1 1147 | Indonesia,F11,2 1148 | Indonesia,F22,1 1149 | Indonesia,F31,1 1150 | Indonesia,F32,1 1151 | Indonesia,F33,3 1152 | Indonesia,FX2,1 1153 | Indonesia,IR1,11 1154 | Indonesia,IR2,3 1155 | Indonesia,IR5,8 1156 | Iran,CR1,1 1157 | Iran,CR2,1 1158 | Iran,E11,1 1159 | Iran,E14,1 1160 | Iran,E15,1 1161 | Iran,E21,1 1162 | Iran,F11,5 1163 | Iran,F21,1 1164 | Iran,F24,1 1165 | Iran,F31,1 1166 | Iran,F41,3 1167 | Iran,F42,1 1168 | Iran,FX1,1 1169 | Iran,IR1,3 1170 | Iran,IR5,10 1171 | Iran,SQ3,2 1172 | Iraq,CR1,18 1173 | Iraq,DV1,7 1174 | Iraq,DV2,4 1175 | Iraq,DV3,9 1176 | Iraq,F21,1 1177 | Iraq,F22,1 1178 | Iraq,F31,1 1179 | Iraq,F32,1 1180 | Iraq,F41,1 1181 | Iraq,F42,1 1182 | Iraq,F43,2 1183 | Iraq,FX1,11 1184 | Iraq,FX2,2 1185 | Iraq,FX3,1 1186 | Iraq,I51,1 1187 | Iraq,IR1,11 1188 | Iraq,IR2,5 1189 | Iraq,IR5,38 1190 | Iraq,SQ1,18 1191 | Iraq,SQ2,13 1192 | Iraq,SQ3,32 1193 | Ireland,CR1,1 1194 | Ireland,DV1,1 1195 | Ireland,E21,1 1196 | Ireland,E22,1 1197 | Ireland,E23,1 1198 | Ireland,IR1,2 1199 | Ireland,IR2,1 1200 | Ireland,IR5,2 1201 | Israel,CR1,4 1202 | Israel,E31,2 1203 | Israel,E34,1 1204 | Israel,E35,1 1205 | Israel,F33,1 1206 | Israel,F42,1 1207 | Israel,F43,1 1208 | Israel,FX3,1 1209 | Israel,IR1,7 1210 | Israel,IR2,10 1211 | Israel,IR5,4 1212 | Italy,CR1,10 1213 | Italy,CR2,2 1214 | Italy,DV1,7 1215 | Italy,DV2,2 1216 | Italy,DV3,5 1217 | Italy,E11,2 1218 | Italy,E14,3 1219 | Italy,E15,4 1220 | Italy,E21,2 1221 | Italy,E22,2 1222 | Italy,E31,3 1223 | Italy,E32,1 1224 | Italy,E34,2 1225 | Italy,E35,2 1226 | Italy,F11,3 1227 | Italy,F12,1 1228 | Italy,F21,1 1229 | Italy,F41,2 1230 | Italy,F43,10 1231 | Italy,FX1,1 1232 | Italy,IR1,8 1233 | Italy,IR2,4 1234 | Italy,IR5,6 1235 | Jamaica,CR1,68 1236 | Jamaica,CR2,52 1237 | Jamaica,E22,1 1238 | Jamaica,E31,50 1239 | Jamaica,E34,27 1240 | Jamaica,E35,34 1241 | Jamaica,EW4,1 1242 | Jamaica,EW5,1 1243 | Jamaica,F11,127 1244 | Jamaica,F12,97 1245 | Jamaica,F21,18 1246 | Jamaica,F22,23 1247 | Jamaica,F23,9 1248 | Jamaica,F24,12 1249 | Jamaica,F25,6 1250 | Jamaica,F31,13 1251 | Jamaica,F32,10 1252 | Jamaica,F33,20 1253 | Jamaica,F41,17 1254 | Jamaica,F42,5 1255 | Jamaica,F43,19 1256 | Jamaica,FX1,18 1257 | Jamaica,FX2,37 1258 | Jamaica,FX3,13 1259 | Jamaica,IB2,1 1260 | Jamaica,IB3,2 1261 | Jamaica,IR1,62 1262 | Jamaica,IR2,196 1263 | Jamaica,IR4,1 1264 | Jamaica,IR5,181 1265 | Jamaica,IW1,1 1266 | Jamaica,SB1,1 1267 | Jamaica,SE1,2 1268 | Japan,CR1,33 1269 | Japan,CR2,1 1270 | Japan,DV1,4 1271 | Japan,DV2,2 1272 | Japan,DV3,3 1273 | Japan,E11,2 1274 | Japan,E14,2 1275 | Japan,E15,1 1276 | Japan,E21,1 1277 | Japan,E22,1 1278 | Japan,E31,4 1279 | Japan,E32,1 1280 | Japan,E34,3 1281 | Japan,E35,3 1282 | Japan,F11,1 1283 | Japan,F43,2 1284 | Japan,FX1,1 1285 | Japan,FX3,2 1286 | Japan,I51,1 1287 | Japan,IR1,32 1288 | Japan,IR2,6 1289 | Japan,IR5,7 1290 | Japan,IW1,1 1291 | Jordan,CR1,50 1292 | Jordan,CR2,1 1293 | Jordan,DV1,3 1294 | Jordan,DV2,2 1295 | Jordan,DV3,3 1296 | Jordan,F11,5 1297 | Jordan,F12,2 1298 | Jordan,F21,2 1299 | Jordan,F22,9 1300 | Jordan,F31,6 1301 | Jordan,F32,4 1302 | Jordan,F33,25 1303 | Jordan,F41,9 1304 | Jordan,F42,4 1305 | Jordan,F43,20 1306 | Jordan,FX1,3 1307 | Jordan,FX2,7 1308 | Jordan,IR1,25 1309 | Jordan,IR2,33 1310 | Jordan,IR5,42 1311 | Jordan,SE1,1 1312 | Kazakhstan,CR1,2 1313 | Kazakhstan,DV1,14 1314 | Kazakhstan,DV2,9 1315 | Kazakhstan,DV3,12 1316 | Kazakhstan,F11,2 1317 | Kazakhstan,F12,1 1318 | Kazakhstan,F41,2 1319 | Kazakhstan,F43,2 1320 | Kazakhstan,IR1,3 1321 | Kazakhstan,IR2,1 1322 | Kazakhstan,IR5,6 1323 | Kazakhstan,SE2,1 1324 | Kazakhstan,SE3,1 1325 | Kenya,CR1,23 1326 | Kenya,CR2,2 1327 | Kenya,DV1,43 1328 | Kenya,DV2,11 1329 | Kenya,DV3,20 1330 | Kenya,E31,5 1331 | Kenya,E34,2 1332 | Kenya,E35,11 1333 | Kenya,F11,8 1334 | Kenya,F12,6 1335 | Kenya,F21,1 1336 | Kenya,F22,2 1337 | Kenya,F24,3 1338 | Kenya,F41,5 1339 | Kenya,F42,1 1340 | Kenya,F43,4 1341 | Kenya,FX1,2 1342 | Kenya,FX2,5 1343 | Kenya,IR1,20 1344 | Kenya,IR2,38 1345 | Kenya,IR5,62 1346 | Kenya,SB1,2 1347 | Kenya,SE1,1 1348 | Kenya,SE3,1 1349 | "Korea, North",DV1,1 1350 | "Korea, South",CR1,30 1351 | "Korea, South",E11,14 1352 | "Korea, South",E14,9 1353 | "Korea, South",E15,27 1354 | "Korea, South",E21,39 1355 | "Korea, South",E22,41 1356 | "Korea, South",E23,52 1357 | "Korea, South",E31,8 1358 | "Korea, South",E32,4 1359 | "Korea, South",E34,8 1360 | "Korea, South",E35,6 1361 | "Korea, South",EW4,2 1362 | "Korea, South",F11,7 1363 | "Korea, South",F12,4 1364 | "Korea, South",F21,5 1365 | "Korea, South",F22,2 1366 | "Korea, South",F24,5 1367 | "Korea, South",F31,8 1368 | "Korea, South",F32,6 1369 | "Korea, South",F33,14 1370 | "Korea, South",F41,13 1371 | "Korea, South",F42,8 1372 | "Korea, South",F43,5 1373 | "Korea, South",FX1,1 1374 | "Korea, South",FX2,1 1375 | "Korea, South",I51,9 1376 | "Korea, South",I52,2 1377 | "Korea, South",I53,15 1378 | "Korea, South",IR1,46 1379 | "Korea, South",IR2,6 1380 | "Korea, South",IR3,15 1381 | "Korea, South",IR5,35 1382 | "Korea, South",SB1,1 1383 | "Korea, South",T51,1 1384 | "Korea, South",T52,1 1385 | "Korea, South",T53,2 1386 | Kosovo,CR1,6 1387 | Kosovo,DV1,12 1388 | Kosovo,DV2,6 1389 | Kosovo,DV3,8 1390 | Kosovo,E14,1 1391 | Kosovo,F21,2 1392 | Kosovo,F22,2 1393 | Kosovo,IR1,6 1394 | Kosovo,IR5,4 1395 | Kuwait,CR1,2 1396 | Kuwait,DV1,2 1397 | Kuwait,DV2,2 1398 | Kuwait,E21,1 1399 | Kuwait,E31,1 1400 | Kuwait,E34,1 1401 | Kuwait,E35,2 1402 | Kuwait,F22,1 1403 | Kuwait,F31,1 1404 | Kuwait,F41,3 1405 | Kuwait,FX1,1 1406 | Kuwait,IR1,4 1407 | Kuwait,IR2,1 1408 | Kuwait,IR5,3 1409 | Kyrgyzstan,CR1,3 1410 | Kyrgyzstan,DV1,15 1411 | Kyrgyzstan,DV2,7 1412 | Kyrgyzstan,DV3,17 1413 | Kyrgyzstan,F11,1 1414 | Kyrgyzstan,F12,1 1415 | Kyrgyzstan,FX1,1 1416 | Kyrgyzstan,IR1,2 1417 | Kyrgyzstan,IR5,4 1418 | Laos,F22,2 1419 | Laos,F31,1 1420 | Laos,F32,1 1421 | Laos,F33,5 1422 | Laos,FX2,2 1423 | Laos,FX3,1 1424 | Laos,IR2,6 1425 | Laos,IR5,16 1426 | Latvia,CR1,2 1427 | Latvia,CR2,1 1428 | Latvia,IH3,2 1429 | Latvia,IR5,2 1430 | Lebanon,CR1,11 1431 | Lebanon,E31,1 1432 | Lebanon,E34,1 1433 | Lebanon,EW3,1 1434 | Lebanon,F11,1 1435 | Lebanon,F12,1 1436 | Lebanon,F22,1 1437 | Lebanon,F31,5 1438 | Lebanon,F32,5 1439 | Lebanon,F33,4 1440 | Lebanon,F41,7 1441 | Lebanon,F42,8 1442 | Lebanon,F43,12 1443 | Lebanon,FX1,6 1444 | Lebanon,FX2,3 1445 | Lebanon,FX3,2 1446 | Lebanon,IR1,7 1447 | Lebanon,IR2,18 1448 | Lebanon,IR5,19 1449 | Lebanon,SB1,1 1450 | Liberia,CR1,13 1451 | Liberia,CR2,3 1452 | Liberia,DV1,20 1453 | Liberia,DV2,3 1454 | Liberia,DV3,5 1455 | Liberia,E21,1 1456 | Liberia,E22,1 1457 | Liberia,F11,5 1458 | Liberia,F12,6 1459 | Liberia,F22,1 1460 | Liberia,F41,1 1461 | Liberia,F43,2 1462 | Liberia,FX1,1 1463 | Liberia,FX2,7 1464 | Liberia,IB2,1 1465 | Liberia,IR1,6 1466 | Liberia,IR2,21 1467 | Liberia,IR5,44 1468 | Liberia,SE1,1 1469 | Liberia,SE3,4 1470 | Libya,E32,1 1471 | Libya,E34,1 1472 | Libya,E35,1 1473 | Libya,IR1,2 1474 | Lithuania,CR1,1 1475 | Lithuania,DV1,2 1476 | Lithuania,DV2,1 1477 | Lithuania,DV3,1 1478 | Lithuania,F11,1 1479 | Lithuania,IR1,2 1480 | Lithuania,IR2,1 1481 | Lithuania,IR5,10 1482 | Lithuania,SB1,1 1483 | Macau,F43,1 1484 | Macedonia,CR1,5 1485 | Macedonia,DV1,9 1486 | Macedonia,DV2,9 1487 | Macedonia,DV3,6 1488 | Macedonia,F21,1 1489 | Macedonia,F23,1 1490 | Macedonia,F41,3 1491 | Macedonia,F42,3 1492 | Macedonia,F43,5 1493 | Macedonia,IR5,8 1494 | Macedonia,SB1,1 1495 | Madagascar,DV1,1 1496 | Malawi,CR1,1 1497 | Malawi,DV1,1 1498 | Malawi,E31,1 1499 | Malawi,E35,1 1500 | Malawi,IR2,1 1501 | Malawi,IR5,1 1502 | Malaysia,CR1,1 1503 | Malaysia,DV1,1 1504 | Malaysia,DV2,1 1505 | Malaysia,E14,1 1506 | Malaysia,F11,1 1507 | Malaysia,F21,2 1508 | Malaysia,F24,1 1509 | Malaysia,F31,1 1510 | Malaysia,F32,1 1511 | Malaysia,F33,2 1512 | Malaysia,F41,1 1513 | Malaysia,F43,2 1514 | Malaysia,FX1,1 1515 | Malaysia,IR1,2 1516 | Malaysia,IR2,1 1517 | Malaysia,IR5,6 1518 | Mali,CR1,3 1519 | Mali,DV1,2 1520 | Mali,E23,1 1521 | Mali,F21,1 1522 | Mali,F24,1 1523 | Mali,F41,2 1524 | Mali,F43,1 1525 | Mali,IR1,2 1526 | Mali,IR2,10 1527 | Mali,IR5,7 1528 | Malta,IR1,1 1529 | Marshall Islands,IR3,2 1530 | Mauritania,IR1,4 1531 | Mauritania,IR2,1 1532 | Mauritius,F31,1 1533 | Mauritius,F32,1 1534 | Mauritius,F33,2 1535 | Mexico,CR1,560 1536 | Mexico,CR2,73 1537 | Mexico,E13,2 1538 | Mexico,E14,2 1539 | Mexico,E15,2 1540 | Mexico,E21,3 1541 | Mexico,E22,1 1542 | Mexico,E23,3 1543 | Mexico,E31,3 1544 | Mexico,E32,1 1545 | Mexico,E34,2 1546 | Mexico,E35,3 1547 | Mexico,EW3,2 1548 | Mexico,EW4,2 1549 | Mexico,EW5,2 1550 | Mexico,F11,37 1551 | Mexico,F12,36 1552 | Mexico,F24,30 1553 | Mexico,F25,29 1554 | Mexico,F31,15 1555 | Mexico,F32,18 1556 | Mexico,F33,30 1557 | Mexico,F41,191 1558 | Mexico,F42,118 1559 | Mexico,F43,161 1560 | Mexico,FX1,736 1561 | Mexico,FX2,864 1562 | Mexico,FX3,7 1563 | Mexico,I51,2 1564 | Mexico,I52,2 1565 | Mexico,I53,2 1566 | Mexico,IB1,1 1567 | Mexico,IB3,5 1568 | Mexico,IH3,3 1569 | Mexico,IR1,"4,592" 1570 | Mexico,IR2,733 1571 | Mexico,IR5,"1,153" 1572 | Mexico,IW1,14 1573 | Mexico,SR1,1 1574 | Mexico,SU3,6 1575 | Moldova,CR1,1 1576 | Moldova,DV1,21 1577 | Moldova,DV2,12 1578 | Moldova,DV3,6 1579 | Moldova,F11,1 1580 | Moldova,F12,1 1581 | Moldova,F21,1 1582 | Moldova,F22,1 1583 | Moldova,IH3,1 1584 | Moldova,IR1,2 1585 | Moldova,IR5,4 1586 | Moldova,SB1,2 1587 | Mongolia,CR2,1 1588 | Mongolia,DV1,1 1589 | Mongolia,DV2,1 1590 | Mongolia,DV3,2 1591 | Mongolia,FX1,1 1592 | Mongolia,FX2,1 1593 | Mongolia,IR5,4 1594 | Mongolia,SB1,1 1595 | Montenegro,CR1,3 1596 | Montenegro,F11,1 1597 | Montenegro,IR1,1 1598 | Montenegro,IR5,7 1599 | Morocco,CR1,40 1600 | Morocco,CR2,1 1601 | Morocco,DV1,73 1602 | Morocco,DV2,6 1603 | Morocco,DV3,5 1604 | Morocco,E31,1 1605 | Morocco,F21,5 1606 | Morocco,F22,1 1607 | Morocco,F41,4 1608 | Morocco,F42,1 1609 | Morocco,F43,1 1610 | Morocco,FX1,4 1611 | Morocco,FX2,4 1612 | Morocco,I51,1 1613 | Morocco,I52,1 1614 | Morocco,I53,2 1615 | Morocco,IR1,25 1616 | Morocco,IR2,3 1617 | Morocco,IR5,34 1618 | Morocco,SE1,2 1619 | Morocco,SE2,1 1620 | Morocco,SE3,2 1621 | Morocco,SK1,1 1622 | Namibia,CR1,1 1623 | Nauru,CR2,1 1624 | Nepal,CR1,42 1625 | Nepal,DV1,145 1626 | Nepal,DV2,76 1627 | Nepal,DV3,51 1628 | Nepal,E11,3 1629 | Nepal,E14,4 1630 | Nepal,E15,3 1631 | Nepal,E21,1 1632 | Nepal,E34,1 1633 | Nepal,E35,1 1634 | Nepal,EW3,1 1635 | Nepal,F11,4 1636 | Nepal,F21,32 1637 | Nepal,F22,6 1638 | Nepal,F24,4 1639 | Nepal,F41,2 1640 | Nepal,F42,2 1641 | Nepal,F43,4 1642 | Nepal,FX1,31 1643 | Nepal,FX2,14 1644 | Nepal,IR1,12 1645 | Nepal,IR2,19 1646 | Nepal,IR5,45 1647 | Nepal,SB1,1 1648 | Netherlands,CR1,5 1649 | Netherlands,CR2,3 1650 | Netherlands,F22,1 1651 | Netherlands,F24,1 1652 | Netherlands,FX3,1 1653 | Netherlands,IR1,8 1654 | Netherlands,IR2,1 1655 | New Caledonia,IR5,1 1656 | New Zealand,CR1,1 1657 | New Zealand,DV1,5 1658 | New Zealand,DV2,2 1659 | New Zealand,E15,1 1660 | New Zealand,IR1,3 1661 | New Zealand,IR2,1 1662 | Nicaragua,B22,1 1663 | Nicaragua,CR1,15 1664 | Nicaragua,CR2,2 1665 | Nicaragua,F11,15 1666 | Nicaragua,F12,10 1667 | Nicaragua,F21,1 1668 | Nicaragua,F24,1 1669 | Nicaragua,F31,1 1670 | Nicaragua,F41,2 1671 | Nicaragua,F42,1 1672 | Nicaragua,F43,4 1673 | Nicaragua,FX1,6 1674 | Nicaragua,FX2,7 1675 | Nicaragua,FX3,1 1676 | Nicaragua,IR1,78 1677 | Nicaragua,IR2,24 1678 | Nicaragua,IR5,20 1679 | Nicaragua,IW1,1 1680 | Nicaragua,SE1,2 1681 | Nicaragua,SE2,2 1682 | Nicaragua,SE3,1 1683 | Niger,CR1,3 1684 | Niger,IR1,2 1685 | Niger,IR2,1 1686 | Nigeria,CR1,85 1687 | Nigeria,CR2,11 1688 | Nigeria,E11,1 1689 | Nigeria,E14,1 1690 | Nigeria,E15,2 1691 | Nigeria,E21,1 1692 | Nigeria,E22,1 1693 | Nigeria,E23,2 1694 | Nigeria,E31,7 1695 | Nigeria,E34,5 1696 | Nigeria,E35,8 1697 | Nigeria,F11,40 1698 | Nigeria,F12,12 1699 | Nigeria,F21,9 1700 | Nigeria,F22,8 1701 | Nigeria,F23,1 1702 | Nigeria,F24,5 1703 | Nigeria,F25,2 1704 | Nigeria,F31,5 1705 | Nigeria,F32,6 1706 | Nigeria,F33,15 1707 | Nigeria,F41,15 1708 | Nigeria,F42,9 1709 | Nigeria,F43,24 1710 | Nigeria,FX1,12 1711 | Nigeria,FX2,4 1712 | Nigeria,FX3,8 1713 | Nigeria,I51,2 1714 | Nigeria,I52,2 1715 | Nigeria,I53,6 1716 | Nigeria,IR1,88 1717 | Nigeria,IR2,118 1718 | Nigeria,IR3,17 1719 | Nigeria,IR5,154 1720 | Nigeria,SB1,6 1721 | Nigeria,SE1,2 1722 | Nigeria,SE2,1 1723 | Nigeria,SE3,5 1724 | Norway,CR1,2 1725 | Norway,IR1,1 1726 | Oman,F32,1 1727 | Oman,IR5,1 1728 | Pakistan,CR1,197 1729 | Pakistan,CR2,3 1730 | Pakistan,E21,2 1731 | Pakistan,E22,2 1732 | Pakistan,E23,3 1733 | Pakistan,E31,1 1734 | Pakistan,E34,2 1735 | Pakistan,E35,6 1736 | Pakistan,EW3,1 1737 | Pakistan,EW4,1 1738 | Pakistan,EW5,2 1739 | Pakistan,F11,18 1740 | Pakistan,F21,19 1741 | Pakistan,F22,14 1742 | Pakistan,F23,9 1743 | Pakistan,F24,17 1744 | Pakistan,F25,5 1745 | Pakistan,F31,14 1746 | Pakistan,F32,15 1747 | Pakistan,F33,42 1748 | Pakistan,F41,67 1749 | Pakistan,F42,50 1750 | Pakistan,F43,142 1751 | Pakistan,FX1,34 1752 | Pakistan,FX2,12 1753 | Pakistan,FX3,16 1754 | Pakistan,I51,1 1755 | Pakistan,I52,1 1756 | Pakistan,I53,1 1757 | Pakistan,IR1,75 1758 | Pakistan,IR2,30 1759 | Pakistan,IR4,3 1760 | Pakistan,IR5,214 1761 | Pakistan,SB1,4 1762 | Pakistan,SE1,1 1763 | Pakistan,SE2,2 1764 | Pakistan,SE3,3 1765 | Panama,CR1,1 1766 | Panama,F11,3 1767 | Panama,F12,1 1768 | Panama,F22,1 1769 | Panama,F42,1 1770 | Panama,F43,2 1771 | Panama,IR1,9 1772 | Panama,IR2,10 1773 | Panama,IR5,5 1774 | Paraguay,CR1,2 1775 | Paraguay,F11,1 1776 | Paraguay,F12,1 1777 | Paraguay,F22,1 1778 | Paraguay,FX1,1 1779 | Paraguay,FX2,1 1780 | Paraguay,IR1,2 1781 | Paraguay,IR2,1 1782 | Peru,CR1,47 1783 | Peru,CR2,19 1784 | Peru,E11,1 1785 | Peru,E14,1 1786 | Peru,E15,3 1787 | Peru,E31,1 1788 | Peru,E35,2 1789 | Peru,EW5,1 1790 | Peru,F11,32 1791 | Peru,F12,19 1792 | Peru,F21,7 1793 | Peru,F22,6 1794 | Peru,F23,6 1795 | Peru,F24,37 1796 | Peru,F25,21 1797 | Peru,F31,4 1798 | Peru,F32,4 1799 | Peru,F33,4 1800 | Peru,F41,16 1801 | Peru,F42,8 1802 | Peru,F43,15 1803 | Peru,FX1,27 1804 | Peru,FX2,15 1805 | Peru,FX3,7 1806 | Peru,IB3,2 1807 | Peru,IR1,89 1808 | Peru,IR2,40 1809 | Peru,IR5,106 1810 | Peru,SB1,1 1811 | Philippines,CR1,148 1812 | Philippines,CR2,27 1813 | Philippines,E14,1 1814 | Philippines,E21,4 1815 | Philippines,E22,8 1816 | Philippines,E23,15 1817 | Philippines,E31,157 1818 | Philippines,E32,73 1819 | Philippines,E34,108 1820 | Philippines,E35,158 1821 | Philippines,EW3,11 1822 | Philippines,EW4,6 1823 | Philippines,EW5,16 1824 | Philippines,F11,23 1825 | Philippines,F12,19 1826 | Philippines,F21,39 1827 | Philippines,F22,44 1828 | Philippines,F23,10 1829 | Philippines,F24,103 1830 | Philippines,F25,91 1831 | Philippines,F31,26 1832 | Philippines,F32,19 1833 | Philippines,F33,42 1834 | Philippines,F41,142 1835 | Philippines,F42,92 1836 | Philippines,F43,95 1837 | Philippines,FX1,86 1838 | Philippines,FX2,68 1839 | Philippines,FX3,65 1840 | Philippines,IB1,2 1841 | Philippines,IB3,2 1842 | Philippines,IH4,9 1843 | Philippines,IR1,180 1844 | Philippines,IR2,255 1845 | Philippines,IR5,499 1846 | Philippines,IW1,1 1847 | Philippines,SB1,14 1848 | Philippines,SE2,2 1849 | Philippines,SE3,3 1850 | Poland,CR1,10 1851 | Poland,CR2,1 1852 | Poland,DV1,5 1853 | Poland,DV2,2 1854 | Poland,DV3,3 1855 | Poland,E11,1 1856 | Poland,E14,1 1857 | Poland,E31,3 1858 | Poland,E34,2 1859 | Poland,E35,1 1860 | Poland,EW3,1 1861 | Poland,F11,5 1862 | Poland,F24,3 1863 | Poland,F31,6 1864 | Poland,F32,3 1865 | Poland,F33,5 1866 | Poland,F41,3 1867 | Poland,F42,1 1868 | Poland,F43,3 1869 | Poland,FX1,5 1870 | Poland,FX2,1 1871 | Poland,FX3,1 1872 | Poland,IH3,9 1873 | Poland,IR1,23 1874 | Poland,IR2,5 1875 | Poland,IR5,31 1876 | Poland,SB1,1 1877 | Portugal,CR1,1 1878 | Portugal,CR2,1 1879 | Portugal,DV1,1 1880 | Portugal,DV2,1 1881 | Portugal,F11,1 1882 | Portugal,F12,2 1883 | Portugal,F25,1 1884 | Portugal,F43,2 1885 | Portugal,IR1,1 1886 | Portugal,IR5,3 1887 | Qatar,CR1,1 1888 | Qatar,F43,2 1889 | Qatar,IR2,1 1890 | Romania,CR1,13 1891 | Romania,DV1,8 1892 | Romania,DV2,4 1893 | Romania,DV3,3 1894 | Romania,E21,1 1895 | Romania,E31,2 1896 | Romania,E34,1 1897 | Romania,F11,2 1898 | Romania,F21,1 1899 | Romania,F22,1 1900 | Romania,FX1,3 1901 | Romania,FX2,3 1902 | Romania,IR1,1 1903 | Romania,IR2,3 1904 | Romania,IR5,12 1905 | Romania,SB1,5 1906 | Russia,CR1,8 1907 | Russia,CR2,5 1908 | Russia,DV1,42 1909 | Russia,DV2,29 1910 | Russia,DV3,26 1911 | Russia,E11,2 1912 | Russia,E14,1 1913 | Russia,E15,2 1914 | Russia,E21,1 1915 | Russia,E22,1 1916 | Russia,E23,2 1917 | Russia,EW3,1 1918 | Russia,F11,11 1919 | Russia,F12,7 1920 | Russia,F21,1 1921 | Russia,F31,1 1922 | Russia,F32,1 1923 | Russia,F41,2 1924 | Russia,F42,1 1925 | Russia,FX1,3 1926 | Russia,FX2,3 1927 | Russia,I51,2 1928 | Russia,I52,2 1929 | Russia,I53,2 1930 | Russia,IR1,12 1931 | Russia,IR2,6 1932 | Russia,IR5,41 1933 | Russia,SD1,1 1934 | Russia,SE1,1 1935 | Rwanda,DV1,8 1936 | Rwanda,DV2,4 1937 | Rwanda,DV3,5 1938 | Rwanda,F21,1 1939 | Rwanda,IR2,2 1940 | Saint Kitts and Nevis,CR1,2 1941 | Saint Kitts and Nevis,F11,1 1942 | Saint Kitts and Nevis,F12,1 1943 | Saint Kitts and Nevis,F24,1 1944 | Saint Kitts and Nevis,F31,1 1945 | Saint Kitts and Nevis,F32,1 1946 | Saint Kitts and Nevis,F33,1 1947 | Saint Kitts and Nevis,IR2,3 1948 | Saint Kitts and Nevis,IR5,5 1949 | Saint Lucia,CR1,1 1950 | Saint Lucia,E31,1 1951 | Saint Lucia,E34,1 1952 | Saint Lucia,F11,2 1953 | Saint Lucia,F12,3 1954 | Saint Lucia,IR1,3 1955 | Saint Lucia,IR2,7 1956 | Saint Lucia,IR5,9 1957 | Saint Vincent and the Grenadines,CR1,1 1958 | Saint Vincent and the Grenadines,CR2,1 1959 | Saint Vincent and the Grenadines,F24,1 1960 | Saint Vincent and the Grenadines,F25,2 1961 | Saint Vincent and the Grenadines,F31,1 1962 | Saint Vincent and the Grenadines,F32,1 1963 | Saint Vincent and the Grenadines,F33,2 1964 | Saint Vincent and the Grenadines,IR1,1 1965 | Saint Vincent and the Grenadines,IR2,1 1966 | Saint Vincent and the Grenadines,IR3,1 1967 | Saint Vincent and the Grenadines,IR5,1 1968 | Samoa,IR3,1 1969 | Saudi Arabia,CR1,13 1970 | Saudi Arabia,DV1,6 1971 | Saudi Arabia,DV2,1 1972 | Saudi Arabia,DV3,2 1973 | Saudi Arabia,E22,1 1974 | Saudi Arabia,E35,1 1975 | Saudi Arabia,F11,6 1976 | Saudi Arabia,F12,1 1977 | Saudi Arabia,F22,1 1978 | Saudi Arabia,F24,2 1979 | Saudi Arabia,F31,2 1980 | Saudi Arabia,F32,1 1981 | Saudi Arabia,F33,8 1982 | Saudi Arabia,F41,2 1983 | Saudi Arabia,F42,2 1984 | Saudi Arabia,F43,21 1985 | Saudi Arabia,FX1,1 1986 | Saudi Arabia,I51,1 1987 | Saudi Arabia,I53,2 1988 | Saudi Arabia,IR1,8 1989 | Saudi Arabia,IR2,7 1990 | Saudi Arabia,IR5,1 1991 | Saudi Arabia,SB1,1 1992 | Senegal,CR1,9 1993 | Senegal,DV1,4 1994 | Senegal,F11,3 1995 | Senegal,F12,2 1996 | Senegal,F22,2 1997 | Senegal,F24,1 1998 | Senegal,F41,1 1999 | Senegal,FX2,9 2000 | Senegal,IR1,8 2001 | Senegal,IR2,22 2002 | Senegal,IR5,7 2003 | Serbia,DV1,5 2004 | Serbia,DV2,3 2005 | Serbia,DV3,2 2006 | Serbia,E11,1 2007 | Serbia,E14,1 2008 | Serbia,IR1,2 2009 | Serbia,IR5,6 2010 | Serbia,SE1,1 2011 | Serbia,SE2,1 2012 | Serbia,SE3,2 2013 | Sierra Leone,CR1,14 2014 | Sierra Leone,CR2,1 2015 | Sierra Leone,DV1,1 2016 | Sierra Leone,DV2,1 2017 | Sierra Leone,DV3,2 2018 | Sierra Leone,F11,2 2019 | Sierra Leone,F12,4 2020 | Sierra Leone,F24,1 2021 | Sierra Leone,FX1,1 2022 | Sierra Leone,FX2,2 2023 | Sierra Leone,IR1,8 2024 | Sierra Leone,IR2,12 2025 | Sierra Leone,IR3,7 2026 | Sierra Leone,IR5,23 2027 | Singapore,CR1,3 2028 | Singapore,CR2,1 2029 | Singapore,DV1,1 2030 | Singapore,DV2,1 2031 | Singapore,DV3,3 2032 | Singapore,E15,2 2033 | Singapore,F11,1 2034 | Singapore,F41,1 2035 | Singapore,F43,2 2036 | Singapore,IR1,4 2037 | Singapore,IR2,2 2038 | Singapore,IR5,1 2039 | Singapore,SB1,1 2040 | Slovakia,DV1,2 2041 | Slovakia,DV2,1 2042 | Slovakia,IR1,1 2043 | Slovenia,CR1,1 2044 | Somalia,CR1,1 2045 | Somalia,IR1,2 2046 | South Africa,CR1,6 2047 | South Africa,DV1,3 2048 | South Africa,DV2,1 2049 | South Africa,DV3,2 2050 | South Africa,E11,4 2051 | South Africa,E14,1 2052 | South Africa,E15,2 2053 | South Africa,E21,2 2054 | South Africa,E22,2 2055 | South Africa,E23,2 2056 | South Africa,E31,1 2057 | South Africa,F11,2 2058 | South Africa,F12,2 2059 | South Africa,F22,1 2060 | South Africa,FX1,1 2061 | South Africa,FX2,3 2062 | South Africa,I51,1 2063 | South Africa,I52,1 2064 | South Africa,I53,3 2065 | South Africa,IR1,4 2066 | South Africa,IR2,1 2067 | South Africa,IR5,8 2068 | South Africa,SB1,1 2069 | South Sudan,IR1,6 2070 | South Sudan,IR5,6 2071 | Spain,CR1,9 2072 | Spain,DV1,2 2073 | Spain,DV2,1 2074 | Spain,DV3,1 2075 | Spain,E11,3 2076 | Spain,E14,2 2077 | Spain,E21,1 2078 | Spain,F21,4 2079 | Spain,F22,1 2080 | Spain,F25,1 2081 | Spain,FX1,5 2082 | Spain,IR1,12 2083 | Spain,IR2,5 2084 | Spain,IR5,4 2085 | Sri Lanka,CR1,10 2086 | Sri Lanka,DV1,8 2087 | Sri Lanka,DV2,5 2088 | Sri Lanka,DV3,9 2089 | Sri Lanka,F21,4 2090 | Sri Lanka,F22,1 2091 | Sri Lanka,F41,2 2092 | Sri Lanka,F42,3 2093 | Sri Lanka,F43,3 2094 | Sri Lanka,FX1,3 2095 | Sri Lanka,IR1,4 2096 | Sri Lanka,IR2,1 2097 | Sri Lanka,IR5,11 2098 | Sri Lanka,SB1,1 2099 | Sudan,CR1,12 2100 | Sudan,DV1,42 2101 | Sudan,DV2,16 2102 | Sudan,DV3,32 2103 | Sudan,F41,1 2104 | Sudan,F42,1 2105 | Sudan,F43,4 2106 | Sudan,FX1,4 2107 | Sudan,FX2,1 2108 | Sudan,I51,1 2109 | Sudan,I52,1 2110 | Sudan,I53,3 2111 | Sudan,IR1,27 2112 | Sudan,IR2,13 2113 | Sudan,IR5,33 2114 | Sudan,IW1,1 2115 | Sudan,SB1,1 2116 | Suriname,CR1,2 2117 | Suriname,F11,2 2118 | Suriname,FX1,1 2119 | Suriname,IR1,2 2120 | Suriname,IR5,2 2121 | Sweden,CR1,4 2122 | Sweden,DV1,3 2123 | Sweden,DV2,2 2124 | Sweden,DV3,4 2125 | Sweden,E14,1 2126 | Sweden,E15,3 2127 | Sweden,F33,1 2128 | Sweden,FX2,1 2129 | Sweden,IR1,2 2130 | Switzerland,CR1,2 2131 | Switzerland,DV1,2 2132 | Switzerland,DV3,1 2133 | Switzerland,F11,2 2134 | Switzerland,IR1,3 2135 | Switzerland,IR2,1 2136 | Syria,CR1,2 2137 | Syria,DV1,1 2138 | Syria,E31,1 2139 | Syria,E32,1 2140 | Syria,E34,1 2141 | Syria,E35,2 2142 | Syria,F11,1 2143 | Syria,F24,1 2144 | Syria,F31,1 2145 | Syria,F32,1 2146 | Syria,FX2,1 2147 | Syria,I51,1 2148 | Syria,IR1,2 2149 | Syria,IR5,6 2150 | Tajikistan,CR1,2 2151 | Tajikistan,DV1,31 2152 | Tajikistan,DV2,14 2153 | Tajikistan,DV3,31 2154 | Tajikistan,F22,1 2155 | Tajikistan,IR1,1 2156 | Tajikistan,IR2,2 2157 | Tajikistan,IR5,3 2158 | Tajikistan,SE2,1 2159 | Tajikistan,SE3,2 2160 | Tanzania,CR1,2 2161 | Tanzania,DV1,2 2162 | Tanzania,DV2,1 2163 | Tanzania,DV3,2 2164 | Tanzania,F42,1 2165 | Tanzania,FX1,1 2166 | Tanzania,IR1,1 2167 | Tanzania,IR2,8 2168 | Tanzania,IR3,1 2169 | Tanzania,IR5,5 2170 | Tanzania,SE1,1 2171 | Thailand,CR1,30 2172 | Thailand,CR2,7 2173 | Thailand,DV1,4 2174 | Thailand,DV2,1 2175 | Thailand,E35,2 2176 | Thailand,F11,12 2177 | Thailand,F12,1 2178 | Thailand,F24,3 2179 | Thailand,F41,1 2180 | Thailand,F42,1 2181 | Thailand,F43,2 2182 | Thailand,FX1,3 2183 | Thailand,FX2,1 2184 | Thailand,I51,1 2185 | Thailand,IH4,1 2186 | Thailand,IR1,18 2187 | Thailand,IR2,27 2188 | Thailand,IR5,22 2189 | Thailand,SB1,2 2190 | Togo,CR1,9 2191 | Togo,DV1,25 2192 | Togo,DV2,1 2193 | Togo,F11,1 2194 | Togo,F21,3 2195 | Togo,F22,1 2196 | Togo,FX1,8 2197 | Togo,FX2,7 2198 | Togo,FX3,1 2199 | Togo,IR1,9 2200 | Togo,IR2,26 2201 | Togo,IR5,16 2202 | Tonga,IR1,1 2203 | Tonga,IR5,1 2204 | Trinidad and Tobago,CR1,3 2205 | Trinidad and Tobago,DV1,1 2206 | Trinidad and Tobago,DV2,1 2207 | Trinidad and Tobago,DV3,1 2208 | Trinidad and Tobago,E15,1 2209 | Trinidad and Tobago,E31,1 2210 | Trinidad and Tobago,E34,1 2211 | Trinidad and Tobago,E35,1 2212 | Trinidad and Tobago,F11,9 2213 | Trinidad and Tobago,F12,13 2214 | Trinidad and Tobago,F22,1 2215 | Trinidad and Tobago,F24,4 2216 | Trinidad and Tobago,F25,5 2217 | Trinidad and Tobago,F31,1 2218 | Trinidad and Tobago,F32,1 2219 | Trinidad and Tobago,F41,7 2220 | Trinidad and Tobago,F43,1 2221 | Trinidad and Tobago,FX1,3 2222 | Trinidad and Tobago,FX2,2 2223 | Trinidad and Tobago,IR1,9 2224 | Trinidad and Tobago,IR2,11 2225 | Trinidad and Tobago,IR5,24 2226 | Tunisia,CR1,7 2227 | Tunisia,DV1,1 2228 | Tunisia,F21,1 2229 | Tunisia,F24,1 2230 | Tunisia,IR1,4 2231 | Tunisia,IR2,2 2232 | Tunisia,IR5,5 2233 | Turkey,CR1,16 2234 | Turkey,DV1,59 2235 | Turkey,DV2,31 2236 | Turkey,DV3,35 2237 | Turkey,E11,1 2238 | Turkey,E14,1 2239 | Turkey,E21,2 2240 | Turkey,E22,1 2241 | Turkey,E31,2 2242 | Turkey,E34,2 2243 | Turkey,E35,1 2244 | Turkey,F31,2 2245 | Turkey,F32,2 2246 | Turkey,F33,2 2247 | Turkey,F41,2 2248 | Turkey,F43,1 2249 | Turkey,FX1,3 2250 | Turkey,FX2,2 2251 | Turkey,IB2,1 2252 | Turkey,IR1,3 2253 | Turkey,IR2,6 2254 | Turkey,IR5,10 2255 | Turkey,SE1,1 2256 | Turkey,SE2,1 2257 | Turkmenistan,DV1,4 2258 | Turkmenistan,DV2,2 2259 | Turkmenistan,DV3,2 2260 | Turkmenistan,FX2,2 2261 | Turks and Caicos Islands,IR5,1 2262 | Uganda,CR1,3 2263 | Uganda,DV1,3 2264 | Uganda,F22,2 2265 | Uganda,F24,1 2266 | Uganda,FX1,1 2267 | Uganda,IR1,4 2268 | Uganda,IR2,13 2269 | Uganda,IR5,2 2270 | Ukraine,CR1,29 2271 | Ukraine,CR2,8 2272 | Ukraine,DV1,99 2273 | Ukraine,DV2,69 2274 | Ukraine,DV3,71 2275 | Ukraine,E31,1 2276 | Ukraine,F11,11 2277 | Ukraine,F12,4 2278 | Ukraine,F21,4 2279 | Ukraine,F22,4 2280 | Ukraine,F24,2 2281 | Ukraine,F31,4 2282 | Ukraine,F32,4 2283 | Ukraine,F33,11 2284 | Ukraine,F41,3 2285 | Ukraine,F42,1 2286 | Ukraine,F43,1 2287 | Ukraine,FX1,10 2288 | Ukraine,FX2,11 2289 | Ukraine,FX3,1 2290 | Ukraine,IR1,17 2291 | Ukraine,IR2,24 2292 | Ukraine,IR3,16 2293 | Ukraine,IR4,3 2294 | Ukraine,IR5,82 2295 | Ukraine,SB1,2 2296 | United Arab Emirates,CR1,1 2297 | United Arab Emirates,DV1,1 2298 | United Arab Emirates,DV2,1 2299 | United Arab Emirates,E31,1 2300 | United Arab Emirates,E34,1 2301 | United Arab Emirates,E35,4 2302 | United Arab Emirates,EW5,2 2303 | United Arab Emirates,F11,1 2304 | United Arab Emirates,F41,1 2305 | United Arab Emirates,F43,19 2306 | United Arab Emirates,FX2,1 2307 | United Arab Emirates,I53,4 2308 | United Arab Emirates,IR1,2 2309 | United Arab Emirates,IR2,1 2310 | Uruguay,CR1,1 2311 | Uruguay,F11,2 2312 | Uruguay,F21,1 2313 | Uruguay,F22,1 2314 | Uruguay,IR1,1 2315 | Uruguay,IR2,1 2316 | Uruguay,IR5,4 2317 | Uzbekistan,CR1,2 2318 | Uzbekistan,DV1,142 2319 | Uzbekistan,DV2,96 2320 | Uzbekistan,DV3,119 2321 | Uzbekistan,E31,1 2322 | Uzbekistan,E34,1 2323 | Uzbekistan,E35,1 2324 | Uzbekistan,F11,3 2325 | Uzbekistan,F12,3 2326 | Uzbekistan,F21,4 2327 | Uzbekistan,F22,4 2328 | Uzbekistan,F31,1 2329 | Uzbekistan,FX1,18 2330 | Uzbekistan,FX2,14 2331 | Uzbekistan,IB3,1 2332 | Uzbekistan,IR2,4 2333 | Uzbekistan,IR5,23 2334 | Uzbekistan,SE1,1 2335 | Vanuatu,CR1,1 2336 | Venezuela,CR1,10 2337 | Venezuela,CR2,3 2338 | Venezuela,DV1,19 2339 | Venezuela,DV2,11 2340 | Venezuela,DV3,15 2341 | Venezuela,E11,4 2342 | Venezuela,E14,2 2343 | Venezuela,E15,4 2344 | Venezuela,E21,2 2345 | Venezuela,E22,2 2346 | Venezuela,E23,4 2347 | Venezuela,E31,2 2348 | Venezuela,E34,2 2349 | Venezuela,E35,6 2350 | Venezuela,EW3,1 2351 | Venezuela,EW4,1 2352 | Venezuela,EW5,2 2353 | Venezuela,F11,6 2354 | Venezuela,F12,7 2355 | Venezuela,F21,6 2356 | Venezuela,F22,2 2357 | Venezuela,F24,7 2358 | Venezuela,F25,5 2359 | Venezuela,F31,2 2360 | Venezuela,F32,2 2361 | Venezuela,F41,6 2362 | Venezuela,F42,4 2363 | Venezuela,F43,7 2364 | Venezuela,FX1,1 2365 | Venezuela,FX2,5 2366 | Venezuela,I51,1 2367 | Venezuela,IR1,8 2368 | Venezuela,IR2,11 2369 | Venezuela,IR5,59 2370 | Venezuela,IW1,2 2371 | Venezuela,SB1,1 2372 | Venezuela,T51,1 2373 | Venezuela,T52,1 2374 | Venezuela,T53,2 2375 | Vietnam,AM1,2 2376 | Vietnam,AM2,4 2377 | Vietnam,CR1,176 2378 | Vietnam,CR2,49 2379 | Vietnam,E11,1 2380 | Vietnam,E14,2 2381 | Vietnam,E15,4 2382 | Vietnam,E21,2 2383 | Vietnam,E22,2 2384 | Vietnam,E23,3 2385 | Vietnam,E31,1 2386 | Vietnam,E34,1 2387 | Vietnam,E35,2 2388 | Vietnam,F11,97 2389 | Vietnam,F12,60 2390 | Vietnam,F21,73 2391 | Vietnam,F22,36 2392 | Vietnam,F23,30 2393 | Vietnam,F24,37 2394 | Vietnam,F25,10 2395 | Vietnam,F31,98 2396 | Vietnam,F32,97 2397 | Vietnam,F33,150 2398 | Vietnam,F41,176 2399 | Vietnam,F42,147 2400 | Vietnam,F43,257 2401 | Vietnam,FX1,82 2402 | Vietnam,FX2,32 2403 | Vietnam,FX3,40 2404 | Vietnam,I51,25 2405 | Vietnam,I52,22 2406 | Vietnam,I53,48 2407 | Vietnam,IH3,2 2408 | Vietnam,IR1,82 2409 | Vietnam,IR2,47 2410 | Vietnam,IR5,397 2411 | Vietnam,IW1,3 2412 | Vietnam,SB1,5 2413 | Vietnam,T51,2 2414 | Vietnam,T52,1 2415 | Vietnam,T53,2 2416 | Yemen,F41,1 2417 | Yemen,F43,2 2418 | Yemen,IR1,1 2419 | Yemen,IR2,1 2420 | Zambia,DV1,1 2421 | Zambia,E21,1 2422 | Zambia,E22,1 2423 | Zambia,E31,1 2424 | Zambia,F41,1 2425 | Zambia,F42,1 2426 | Zambia,F43,2 2427 | Zambia,IR1,1 2428 | Zambia,IR2,3 2429 | Zambia,IR5,2 2430 | Zambia,SE1,1 2431 | Zambia,SE2,1 2432 | Zambia,SE3,4 2433 | Zimbabwe,CR1,1 2434 | Zimbabwe,DV1,2 2435 | Zimbabwe,E31,1 2436 | Zimbabwe,E35,1 2437 | Zimbabwe,F11,2 2438 | Zimbabwe,F41,1 2439 | Zimbabwe,F42,1 2440 | Zimbabwe,FX1,1 2441 | Zimbabwe,FX3,1 2442 | Zimbabwe,IR3,1 2443 | Zimbabwe,IR5,10 2444 | Grand Total,,"47,859" 2445 | -------------------------------------------------------------------------------- /raw_data/consolidated.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wpinvestigative/immigrant_visas/9a9b78c9601602e7b92c1494df59791c0202af41/raw_data/consolidated.xlsx -------------------------------------------------------------------------------- /raw_data/nov-mar.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wpinvestigative/immigrant_visas/9a9b78c9601602e7b92c1494df59791c0202af41/raw_data/nov-mar.xlsx -------------------------------------------------------------------------------- /raw_data/readme.MD: -------------------------------------------------------------------------------- 1 | ## Data in this folder 2 | 3 | 4 | * Scraped tables from PDFs 5 | * consolidated.xlsx 6 | * Uncleaned version of the scraped pdfs, years are in sheets 7 | * nov-mar.xlsx 8 | * Monthly figures from October 2017 - May 2018 9 | * specific_categories.csv 10 | * Relationship file for our self-designated country-to-type designations (which lead to categories.summary.csv) 11 | 12 | -------------------------------------------------------------------------------- /raw_data/specific_categories.csv: -------------------------------------------------------------------------------- 1 | Country,TypeOf 2 | Afghanistan,Muslim-Majority 3 | Albania,Muslim-Majority 4 | Algeria,Muslim-Majority 5 | Azerbaijan,Muslim-Majority 6 | Bahrain,Muslim-Majority 7 | Bangladesh,Muslim-Majority 8 | Brunei,Muslim-Majority 9 | Burkina Faso,Muslim-Majority 10 | Chad,Muslim-Majority 11 | Comoros,Muslim-Majority 12 | Djibouti,Muslim-Majority 13 | Egypt,Muslim-Majority 14 | Guinea,Muslim-Majority 15 | Indonesia,Muslim-Majority 16 | Iran,Muslim-Majority 17 | Iraq,Muslim-Majority 18 | Jordan,Muslim-Majority 19 | Kazakhstan,Muslim-Majority 20 | Kosovo,Muslim-Majority 21 | Kuwait,Muslim-Majority 22 | Kyrgyzstan,Muslim-Majority 23 | Lebanon,Muslim-Majority 24 | Libya,Muslim-Majority 25 | Malaysia,Muslim-Majority 26 | Maldives,Muslim-Majority 27 | Mali,Muslim-Majority 28 | Mauritania,Muslim-Majority 29 | Morocco,Muslim-Majority 30 | Niger,Muslim-Majority 31 | Nigeria,Muslim-Majority 32 | Oman,Muslim-Majority 33 | Pakistan,Muslim-Majority 34 | Palestine,Muslim-Majority 35 | Qatar,Muslim-Majority 36 | Saudi Arabia,Muslim-Majority 37 | Senegal,Muslim-Majority 38 | Sierra Leone,Muslim-Majority 39 | Somalia,Muslim-Majority 40 | Sudan,Muslim-Majority 41 | Syria,Muslim-Majority 42 | Tajikistan,Muslim-Majority 43 | The Gambia,Muslim-Majority 44 | Tunisia,Muslim-Majority 45 | Turkey,Muslim-Majority 46 | Turkmenistan,Muslim-Majority 47 | United Arab Emirates,Muslim-Majority 48 | Uzbekistan,Muslim-Majority 49 | Western Sahara,Muslim-Majority 50 | Yemen,Muslim-Majority 51 | Austria,Christian-Majority Europe 52 | Andorra,Christian-Majority Europe 53 | Armenia,Christian-Majority Europe 54 | Belarus,Christian-Majority Europe 55 | Belgium,Christian-Majority Europe 56 | Bosnia and Herzegovina,Christian-Majority Europe 57 | Bulgaria,Christian-Majority Europe 58 | Croatia,Christian-Majority Europe 59 | Cyprus,Christian-Majority Europe 60 | Czech Republic,Christian-Majority Europe 61 | Denmark,Christian-Majority Europe 62 | Estonia,Christian-Majority Europe 63 | Finland,Christian-Majority Europe 64 | France,Christian-Majority Europe 65 | Georgia,Christian-Majority Europe 66 | Germany,Christian-Majority Europe 67 | Greece,Christian-Majority Europe 68 | Hungary,Christian-Majority Europe 69 | Iceland,Christian-Majority Europe 70 | Ireland,Christian-Majority Europe 71 | Italy,Christian-Majority Europe 72 | Latvia,Christian-Majority Europe 73 | Liechtenstein,Christian-Majority Europe 74 | Lithuania,Christian-Majority Europe 75 | Luxembourg,Christian-Majority Europe 76 | Macedonia,Christian-Majority Europe 77 | Malta,Christian-Majority Europe 78 | Moldova,Christian-Majority Europe 79 | Monaco,Christian-Majority Europe 80 | Montenegro,Christian-Majority Europe 81 | Netherlands,Christian-Majority Europe 82 | Norway,Christian-Majority Europe 83 | Poland,Christian-Majority Europe 84 | Portugal,Christian-Majority Europe 85 | Romania,Christian-Majority Europe 86 | Russia,Christian-Majority Europe 87 | San Marino,Christian-Majority Europe 88 | Serbia,Christian-Majority Europe 89 | Slovakia,Christian-Majority Europe 90 | Slovenia,Christian-Majority Europe 91 | Spain,Christian-Majority Europe 92 | Sweden,Christian-Majority Europe 93 | Switzerland,Christian-Majority Europe 94 | Ukraine,Christian-Majority Europe 95 | Great Britain and Northern Ireland,Christian-Majority Europe 96 | Vatican City,Christian-Majority Europe 97 | China - mainland born,China 98 | India,India 99 | Philippines,Philippines 100 | Vietnam,Vietnam 101 | Algeria,Africa 102 | Angola,Africa 103 | Benin,Africa 104 | Botswana,Africa 105 | Burkina Faso,Africa 106 | Burundi,Africa 107 | Cameroon,Africa 108 | Cape Verde,Africa 109 | Central African Republic,Africa 110 | Chad,Africa 111 | Comoros,Africa 112 | "Congo, Dem. Rep. of the",Africa 113 | "Congo, Republic of the",Africa 114 | Cote d'Ivoire,Africa 115 | Djibouti,Africa 116 | Egypt,Africa 117 | Equatorial Guinea,Africa 118 | Eritrea,Africa 119 | Ethiopia,Africa 120 | Gabon,Africa 121 | "Gambia, The",Africa 122 | Ghana,Africa 123 | Guinea,Africa 124 | Guinea-Bissau,Africa 125 | Kenya,Africa 126 | Lesotho,Africa 127 | Liberia,Africa 128 | Libya,Africa 129 | Madagascar,Africa 130 | Malawi,Africa 131 | Mali,Africa 132 | Mauritania,Africa 133 | Mauritius,Africa 134 | Morocco,Africa 135 | Mozambique,Africa 136 | Namibia,Africa 137 | Niger,Africa 138 | Nigeria,Africa 139 | Rwanda,Africa 140 | Sao Tome and Principe,Africa 141 | Senegal,Africa 142 | Seychelles,Africa 143 | Sierra Leone,Africa 144 | Somalia,Africa 145 | South Africa,Africa 146 | South Sudan,Africa 147 | Sudan,Africa 148 | Swaziland,Africa 149 | Tanzania,Africa 150 | Togo,Africa 151 | Tunisia,Africa 152 | Uganda,Africa 153 | Western Sahara,Africa 154 | Zambia,Africa 155 | Zimbabwe,Africa 156 | Albania,Europe 157 | Andorra,Europe 158 | Anguilla,Europe 159 | Armenia,Europe 160 | Aruba,Europe 161 | Austria,Europe 162 | Azerbaijan,Europe 163 | Belarus,Europe 164 | Belgium,Europe 165 | Bermuda,Europe 166 | Bosnia and Herzegovina,Europe 167 | British Indian Ocean Territory,Europe 168 | British Virgin Islands,Europe 169 | Bulgaria,Europe 170 | Cayman Islands,Europe 171 | Croatia,Europe 172 | Curacao,Europe 173 | Cyprus,Europe 174 | Czech Republic,Europe 175 | Denmark,Europe 176 | Estonia,Europe 177 | Falkland Islands,Europe 178 | Faroe Islands,Europe 179 | Finland,Europe 180 | France,Europe 181 | French Guiana,Europe 182 | French Polynesia,Europe 183 | French Southern and Antarctic Lands,Europe 184 | Georgia,Europe 185 | Germany,Europe 186 | Gibraltar,Europe 187 | Great Britain and Northern Ireland,Europe 188 | Greece,Europe 189 | Greenland,Europe 190 | Guadeloupe,Europe 191 | Hungary,Europe 192 | Iceland,Europe 193 | Ireland,Europe 194 | Italy,Europe 195 | Kazakhstan,Europe 196 | Kosovo,Europe 197 | Kyrgyzstan,Europe 198 | Latvia,Europe 199 | Liechtenstein,Europe 200 | Lithuania,Europe 201 | Luxembourg,Europe 202 | Macau,Europe 203 | Macedonia,Europe 204 | Malta,Europe 205 | Martinique,Europe 206 | Mayotte,Europe 207 | Moldova,Europe 208 | Monaco,Europe 209 | Montenegro,Europe 210 | Montserrat,Europe 211 | Netherlands,Europe 212 | Netherlands Antilles,Europe 213 | New Caledonia,Europe 214 | Northern Ireland (DV only),Europe 215 | Norway,Europe 216 | Pitcairn,Europe 217 | Poland,Europe 218 | Portugal,Europe 219 | Reunion,Europe 220 | Romania,Europe 221 | Russia,Europe 222 | Saint Martin,Europe 223 | San Marino,Europe 224 | Serbia,Europe 225 | Sint Maarten,Europe 226 | Slovakia,Europe 227 | Slovenia,Europe 228 | South Georgia and the South Sandwich Islands,Europe 229 | Spain,Europe 230 | St. Barthelemy,Europe 231 | St. Helena,Europe 232 | St. Pierre and Miquelon,Europe 233 | Svalbard,Europe 234 | Sweden,Europe 235 | Switzerland,Europe 236 | Tajikistan,Europe 237 | Turkey,Europe 238 | Turkmenistan,Europe 239 | Turks and Caicos Islands,Europe 240 | Ukraine,Europe 241 | Uzbekistan,Europe 242 | Vatican City,Europe 243 | Wallis and Futuna,Europe 244 | Western Sahara,Europe 245 | China - Taiwan born,China 246 | Mexico,Mexico-Central America 247 | Guatemala,Mexico-Central America 248 | Honduras,Mexico-Central America 249 | El Salvador,Mexico-Central America 250 | Nicaragua,Mexico-Central America 251 | Costa Rica,Mexico-Central America 252 | Panama,Mexico-Central America 253 | Syria,Travel Banned 254 | Libya,Travel Banned 255 | Somalia,Travel Banned 256 | Iran,Travel Banned 257 | Yemen,Travel Banned 258 | Chad,Travel Banned 259 | "Korea, North",Travel Banned -------------------------------------------------------------------------------- /raw_data/~$consolidated.xlsx: -------------------------------------------------------------------------------- 1 | Tran, Andrew Tran, Andrew -------------------------------------------------------------------------------- /raw_data/~$nov-mar.xlsx: -------------------------------------------------------------------------------- 1 | Tran, Andrew Tran, Andrew -------------------------------------------------------------------------------- /readme.MD: -------------------------------------------------------------------------------- 1 | [This data is published under an [Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license](https://creativecommons.org/licenses/by-nc-sa/4.0/)] 2 | 3 | ## Immigrant Visas Explorer 4 | 5 | ---- 6 | 7 | R Shiny application to explore immigrant visa data from the U.S. State Department. 8 | 9 | ![](shiny_app.png) 10 | 11 | The department [releases data](https://travel.state.gov/content/travel/en/legal/visa-law0/visa-statistics.html) annually and monthly in PDFs. 12 | 13 | The data has been scraped, cleaned and organized in a downloadable format along with the app. 14 | 15 | The repo can be downloaded and explored manually. 16 | 17 | To run the app, you must have [R version 3.5 or later](https://cloud.r-project.org/) installed first. 18 | 19 | **Via terminal** 20 | 21 | After you've installed R, In the terminal, run 22 | 23 | ``` 24 | R -e "install.packages('shiny', repos='http://cran.rstudio.com/')" 25 | R -e "shiny::runGitHub('immigrant_visas', 'wpinvestigative', launch.browser=TRUE)" 26 | ``` 27 | 28 | **Via RStudio** 29 | 30 | The application can be run locally with the following command in [R Studio](https://www.rstudio.com/products/rstudio/download/#download): 31 | 32 | ``` 33 | install.packages("shiny", repos="http://cran.rstudio.com/") 34 | shiny::runGitHub("immigrant_visas", "wpinvestigative") 35 | ``` 36 | 37 | ---- 38 | 39 | # About the folders in this repo 40 | 41 | * **[scripts](scripts)** - Exploratory data analysis 42 | * **[raw_data](raw_data)** - Raw data or consolidated spreadsheets from scraped PDFs 43 | * **[output_data](output_data)** - Cleaned data transformed from raw data used for analysis and the Shiny App 44 | 45 | 46 | -------------------------------------------------------------------------------- /scripts/01_combining_data.R: -------------------------------------------------------------------------------- 1 | # loading packages 2 | 3 | library(tidyverse) 4 | library(readxl) 5 | library(stringr) 6 | 7 | # Bringing in annual visa data 8 | # Compiled from https://travel.state.gov/content/travel/en/legal/visa-law0/visa-statistics/annual-reports.html 9 | # Each sheet on consolidated.xsx is a different year of data scraped from PDFs 10 | 11 | # There are 10 years of data and this loop pulls each one and builds a data frame called consolidated 12 | 13 | for (i in 1:10) { 14 | 15 | consolidated <- read_excel("raw_data/consolidated.xlsx", sheet=i) 16 | # Tidying up the region designation by taking it from the blank row and adding it as a variable 17 | consolidated$area <- "" 18 | for (x in 1:nrow(consolidated)) { 19 | if (is.na(consolidated$`Immediate Relatives`[x])) { 20 | consolidated_area <- consolidated$`Foreign State`[x] 21 | consolidated$area[x] <- consolidated_area 22 | } 23 | consolidated$area[x] <- consolidated_area 24 | } 25 | 26 | # Don't need Region or Grand Totals 27 | consolidated_sub <- filter(consolidated, !is.na(`Immediate Relatives`)) %>% 28 | filter(!grepl("Region Total", `Foreign State`)) %>% 29 | filter(!grepl("Grand Totals", `Foreign State`)) 30 | 31 | regional <- filter(consolidated, grepl("Region Total", `Foreign State`) | grepl("Grand Totals", `Foreign State`)) 32 | regional$area <- NULL 33 | 34 | # Building a dataframe from the loop 35 | if (i == 1) { 36 | consolidated_df <- consolidated_sub 37 | regional_df <- regional 38 | } else { 39 | consolidated_df <- rbind(consolidated_df, consolidated_sub) 40 | regional_df <- rbind(regional_df, regional) 41 | } 42 | 43 | 44 | 45 | } 46 | 47 | # Deaing with inconsistent country names from year to year 48 | 49 | consolidated_df$`Foreign State` <- ifelse(consolidated_df$`Foreign State` == "Bahamas, The", "Bahamas", consolidated_df$`Foreign State`) 50 | consolidated_df$`Foreign State` <- ifelse(consolidated_df$`Foreign State` == "Cabo Verde", "Cape Verde", consolidated_df$`Foreign State`) 51 | consolidated_df$`Foreign State` <- ifelse(consolidated_df$`Foreign State` == "Congo, Rep. of the", "Congo, Republic of the", consolidated_df$`Foreign State`) 52 | consolidated_df$`Foreign State` <- ifelse(consolidated_df$`Foreign State` == "Hong Kong S.A.R", "Hong Kong S.A.R.", consolidated_df$`Foreign State`) 53 | 54 | # Generating spreadsheets based on the consoidated data 55 | for (i in 2:7) { 56 | 57 | # spreadsheet based on subject and country over time 58 | sub_cons <- select(consolidated_df, `Foreign State`, i, year) %>% 59 | spread(year, 2) 60 | 61 | # spreadsheet based on subject and area over time 62 | reg_cons <- select(regional_df, `Foreign State`, i, year) %>% 63 | spread(year, 2) 64 | 65 | write.csv(sub_cons, paste0("output_data/consolidated_subject-", i, ".csv"), row.names=F, na="" ) 66 | write.csv(reg_cons, paste0("output_data/consolidated_regional_subject-", i, ".csv"), row.names=F, na="") 67 | 68 | 69 | 70 | } 71 | 72 | # Creating a long, tidy version of the countries and regions data 73 | 74 | consolidated_df_long <- gather(consolidated_df, 75 | `Immediate Relatives`, `Special Immigrants`, `Family Preference`, 76 | `Employment Preference`, `Diversity Immigrants`, `Total`, key="type", value="total") 77 | 78 | regional_df_long <- gather(regional_df, 79 | `Immediate Relatives`, `Special Immigrants`, `Family Preference`, 80 | `Employment Preference`, `Diversity Immigrants`, `Total`, key="type", value="total") 81 | 82 | # Combining Family Preference and Immediate Relatives into Family Visas 83 | consolidated_df_long <- mutate(consolidated_df_long, 84 | type=str_replace(type,"Family Preference", "Family Visas"), 85 | type=str_replace(type, "Immediate Relatives", "Family Visas")) %>% 86 | group_by(`Foreign State`, year, area, type) %>% 87 | summarize(total=sum(as.numeric(total), na.rm=T)) 88 | 89 | regional_df_long <- mutate(regional_df_long, 90 | type=str_replace(type,"Family Preference", "Family Visas"), 91 | type=str_replace(type, "Immediate Relatives", "Family Visas")) %>% 92 | group_by(`Foreign State`, year, type) %>% 93 | summarize(total=sum(as.numeric(total), na.rm=T)) 94 | 95 | # Saving the data into the output folder 96 | saveRDS(consolidated_df_long, "output_data/consolidated_long.rds") 97 | saveRDS(regional_df_long, "output_data/regional_long.rds") 98 | 99 | nm <- read_excel("raw_data/nov-mar.xlsx", sheet=1) 100 | nm <- mutate(nm, type= case_when( 101 | grepl("IR", `Visa Class`) ~ "Family Visas", 102 | grepl("CR", `Visa Class`) ~ "Family Visas", 103 | grepl("IW", `Visa Class`) ~ "Family Visas", 104 | grepl("IB", `Visa Class`) ~ "Family Visas", 105 | grepl("VI", `Visa Class`) ~ "Family Visas", 106 | grepl("AM", `Visa Class`) ~ "Family Visas", 107 | grepl("F2", `Visa Class`) ~ "Family Visas", 108 | grepl("F1", `Visa Class`) ~ "Family Visas", 109 | grepl("B2", `Visa Class`) ~ "Family Visas", 110 | grepl("FX", `Visa Class`) ~ "Family Visas", 111 | grepl("BX", `Visa Class`) ~ "Family Visas", 112 | grepl("F3", `Visa Class`) ~ "Family Visas", 113 | grepl("B3", `Visa Class`) ~ "Family Visas", 114 | grepl("F4", `Visa Class`) ~ "Family Visas", 115 | grepl("SB", `Visa Class`) ~ "Special Immigrants", 116 | grepl("SC", `Visa Class`) ~ "Special Immigrants", 117 | grepl("E1", `Visa Class`) ~ "Employment Preference", 118 | grepl("E2", `Visa Class`) ~ "Employment Preference", 119 | grepl("E3", `Visa Class`) ~ "Employment Preference", 120 | grepl("EW", `Visa Class`) ~ "Employment Preference", 121 | grepl("SD", `Visa Class`) ~ "Employment Preference", 122 | grepl("SE", `Visa Class`) ~ "Employment Preference", 123 | grepl("SG", `Visa Class`) ~ "Employment Preference", 124 | grepl("SH", `Visa Class`) ~ "Employment Preference", 125 | grepl("SJ", `Visa Class`) ~ "Employment Preference", 126 | grepl("SK", `Visa Class`) ~ "Employment Preference", 127 | grepl("SL", `Visa Class`) ~ "Employment Preference", 128 | grepl("SM", `Visa Class`) ~ "Employment Preference", 129 | grepl("SR", `Visa Class`) ~ "Employment Preference", 130 | grepl("C5", `Visa Class`) ~ "Employment Preference", 131 | grepl("T5", `Visa Class`) ~ "Employment Preference", 132 | grepl("R5", `Visa Class`) ~ "Employment Preference", 133 | grepl("I5", `Visa Class`) ~ "Employment Preference", 134 | grepl("DV", `Visa Class`) ~ "Diversity Immigrants", 135 | grepl("C2", `Visa Class`) ~ "Family Visas", 136 | grepl("IH", `Visa Class`) ~ "Family Visas", 137 | grepl("SU", `Visa Class`) ~ "Family Visas", 138 | grepl("BC", `Visa Class`) ~ "Employment Preference", 139 | grepl("SI", `Visa Class`) ~ "Iraqis/Afghans who helped US abroad", 140 | grepl("SQ", `Visa Class`) ~ "Iraqis/Afghans who helped US abroad", 141 | grepl("Grand", `Visa Class`) ~ "Grand Total" 142 | 143 | )) %>% 144 | group_by(`Foreign State of Chargeability or Place of Birth`, date, type) %>% 145 | summarize(Issuances=sum(Issuances, na.rm=T)) 146 | 147 | saveRDS(nm, "output_data/nm.rds") 148 | 149 | 150 | ## joining to weird categories 151 | 152 | countries_only <- select(consolidated_df,Country=`Foreign State`) %>% unique() %>% mutate(Match="yes") 153 | 154 | selected_countries <- read_csv("raw_data/specific_categories.csv") 155 | saveRDS(selected_countries, "output_data/categories.rds") 156 | 157 | 158 | 159 | -------------------------------------------------------------------------------- /scripts/02_exploratory.R: -------------------------------------------------------------------------------- 1 | # A script for exploratory purposes 2 | # Cleaned up data, and organized a list of questions that needed answers 3 | # Transformed data 4 | # Code was repurposed to be used in the shiny app 5 | 6 | library(tidyverse) 7 | 8 | round = function(x) ifelse(x>0, trunc(x+0.5), trunc(x-0.5)); 9 | 10 | nm_countries <- unique(nm$`Foreign State of Chargeability or Place of Birth`) 11 | ye_countries <- unique(countries$`Foreign State`) 12 | 13 | countries_regions <- select(countries, `Foreign State`, area) %>% ungroup() %>% unique 14 | countries_regions$year <- NULL 15 | countries_regions <- unique(countries_regions) 16 | 17 | nmc <- data.frame(nm_countries) 18 | colnames(nmc) <- "Country" 19 | nmc$type <- "Monthly" 20 | 21 | yec <- data.frame(ye_countries) 22 | colnames(yec) <- "Country" 23 | 24 | cnames <- full_join(nmc, yec) 25 | 26 | 27 | nm_projected <- nm %>% 28 | mutate(type=gsub("Iraqis/Afghans who helped US abroad", "Special Immigrants", type)) %>% 29 | group_by(`Foreign State of Chargeability or Place of Birth`, date, type) %>% 30 | summarize(Issuances=sum(Issuances, na.rm=T)) %>% 31 | group_by(`Foreign State of Chargeability or Place of Birth`, type) %>% 32 | ## if basing on 5 months of available data 33 | summarize(total=round(sum(Issuances)/5*12)) %>% 34 | dplyr::rename(`Foreign State`=`Foreign State of Chargeability or Place of Birth`) %>% 35 | left_join(countries_regions) %>% 36 | mutate(year=2018) %>% 37 | select(`Foreign State`, year, area, type, total) 38 | ## if basing on 2018 months only 39 | #filter(grepl("2018", as.character(date)) %>% 40 | #summarize(`2018 (Projected)`=sum(Issuances)/3*12) %>% 41 | 42 | 43 | countries <- rbind(countries, nm_projected) %>% ungroup() 44 | 45 | nm_projected2 <- select(nm_projected, `Foreign State`, year, area, type, total) %>% 46 | summarize(what=sum(total, na.rm=T)) %>% 47 | mutate(type="Total", year=2018) %>% 48 | left_join(countries_regions) %>% 49 | select(`Foreign State`, year, area, type, total=what) 50 | 51 | countries <- rbind(countries, nm_projected2) 52 | 53 | # Percent change 2009 - 2017 54 | # Percent change 2009 - 2018 (Projected) 55 | # Percent change 2009 - 2016 (Obama) 56 | # Percent change 2017 - 2018 (Projected) 57 | # Average annual Obama 58 | # 2017 for Trump 59 | # Average annual Trump (with projected) 60 | 61 | countries_wide <- spread(countries, year, total) %>% 62 | 63 | mutate(`Percent change '09 - '16'` =round((`2016`-`2009`)/`2009`*100), 64 | `Percent change '09 - '17'` =round((`2017`-`2009`)/`2009`*100), 65 | `Percent change '09 - '18'` =round((`2018`-`2009`)/`2009`*100), 66 | `Percent change '16 - '17'` =round((`2017`-`2016`)/`2009`*100), 67 | `Percent change '17 - '18'` =round((`2018`-`2017`)/`2009`*100), 68 | `Obama average` = round((`2008`+`2009`+`2010`+`2011`+`2012`+`2013`+`2014`+`2015`+`2016`)/9), 69 | `Trump 2017`=`2017`, 70 | `Trump projected average`=round((`2017`+`2018`)/2), 71 | `Percent change O - T`=round((`Trump 2017`-`Obama average`)/`Obama average`*100), 72 | `Percent change O - T (p)`=round((`Trump projected average`-`Obama average`)/`Obama average`*100)) 73 | 74 | 75 | 76 | -------------------------------------------------------------------------------- /scripts/03_combining_data_special.R: -------------------------------------------------------------------------------- 1 | library(tidyverse) 2 | library(readxl) 3 | library(stringr) 4 | 5 | for (i in 1:10) { 6 | 7 | consolidated <- read_excel("raw_data/consolidated.xlsx", sheet=i) 8 | consolidated$area <- "" 9 | for (x in 1:nrow(consolidated)) { 10 | if (is.na(consolidated$`Immediate Relatives`[x])) { 11 | consolidated_area <- consolidated$`Foreign State`[x] 12 | consolidated$area[x] <- consolidated_area 13 | } 14 | consolidated$area[x] <- consolidated_area 15 | } 16 | 17 | 18 | consolidated_sub <- filter(consolidated, !is.na(`Immediate Relatives`)) %>% 19 | filter(!grepl("Region Total", `Foreign State`)) %>% 20 | filter(!grepl("Grand Totals", `Foreign State`)) 21 | 22 | regional <- filter(consolidated, grepl("Region Total", `Foreign State`) | grepl("Grand Totals", `Foreign State`)) 23 | regional$area <- NULL 24 | 25 | if (i == 1) { 26 | consolidated_df <- consolidated_sub 27 | regional_df <- regional 28 | } else { 29 | consolidated_df <- rbind(consolidated_df, consolidated_sub) 30 | regional_df <- rbind(regional_df, regional) 31 | } 32 | 33 | 34 | 35 | } 36 | 37 | consolidated_df$`Foreign State` <- ifelse(consolidated_df$`Foreign State` == "Bahamas, The", "Bahamas", consolidated_df$`Foreign State`) 38 | consolidated_df$`Foreign State` <- ifelse(consolidated_df$`Foreign State` == "Cabo Verde", "Cape Verde", consolidated_df$`Foreign State`) 39 | consolidated_df$`Foreign State` <- ifelse(consolidated_df$`Foreign State` == "Congo, Rep. of the", "Congo, Republic of the", consolidated_df$`Foreign State`) 40 | consolidated_df$`Foreign State` <- ifelse(consolidated_df$`Foreign State` == "Hong Kong S.A.R", "Hong Kong S.A.R.", consolidated_df$`Foreign State`) 41 | 42 | for (i in 2:7) { 43 | sub_cons <- select(consolidated_df, `Foreign State`, i, year) %>% 44 | spread(year, 2) 45 | 46 | reg_cons <- select(regional_df, `Foreign State`, i, year) %>% 47 | spread(year, 2) 48 | 49 | write.csv(sub_cons, paste0("output_data/consolidated_subject-", i, ".csv"), row.names=F, na="" ) 50 | write.csv(reg_cons, paste0("output_data/consolidated_regional_subject-", i, ".csv"), row.names=F, na="") 51 | 52 | 53 | 54 | } 55 | 56 | 57 | 58 | # longify 59 | 60 | consolidated_df_long <- gather(consolidated_df, 61 | `Immediate Relatives`, `Special Immigrants`, `Family Preference`, 62 | `Employment Preference`, `Diversity Immigrants`, `Total`, key="type", value="total") 63 | 64 | regional_df_long <- gather(regional_df, 65 | `Immediate Relatives`, `Special Immigrants`, `Family Preference`, 66 | `Employment Preference`, `Diversity Immigrants`, `Total`, key="type", value="total") 67 | 68 | consolidated_df_long <- consolidated_df_long %>% 69 | group_by(`Foreign State`, year, area, type) %>% 70 | summarize(total=sum(as.numeric(total), na.rm=T)) 71 | 72 | regional_df_long <- regional_df_long %>% 73 | group_by(`Foreign State`, year, type) %>% 74 | summarize(total=sum(as.numeric(total), na.rm=T)) 75 | 76 | 77 | saveRDS(consolidated_df_long, "output_data/consolidated_long2.rds") 78 | saveRDS(regional_df_long, "output_data/regional_long2.rds") 79 | 80 | nm <- read_excel("raw_data/nov-mar.xlsx", sheet=1) 81 | nm <- mutate(nm, type= case_when( 82 | grepl("IR", `Visa Class`) ~ "Immediate Relatives", 83 | grepl("CR", `Visa Class`) ~ "Immediate Relatives", 84 | grepl("IW", `Visa Class`) ~ "Immediate Relatives", 85 | grepl("IB", `Visa Class`) ~ "Immediate Relatives", 86 | grepl("VI", `Visa Class`) ~ "Immediate Relatives", 87 | grepl("AM", `Visa Class`) ~ "Family Preference", 88 | grepl("F2", `Visa Class`) ~ "Family Preference", 89 | grepl("F1", `Visa Class`) ~ "Family Preference", 90 | grepl("B2", `Visa Class`) ~ "Family Preference", 91 | grepl("FX", `Visa Class`) ~ "Family Preference", 92 | grepl("BX", `Visa Class`) ~ "Family Preference", 93 | grepl("F3", `Visa Class`) ~ "Family Preference", 94 | grepl("B3", `Visa Class`) ~ "Family Preference", 95 | grepl("F4", `Visa Class`) ~ "Family Preference", 96 | grepl("SB", `Visa Class`) ~ "Special Immigrants", 97 | grepl("SC", `Visa Class`) ~ "Special Immigrants", 98 | grepl("E1", `Visa Class`) ~ "Employment Preference", 99 | grepl("E2", `Visa Class`) ~ "Employment Preference", 100 | grepl("E3", `Visa Class`) ~ "Employment Preference", 101 | grepl("EW", `Visa Class`) ~ "Employment Preference", 102 | grepl("SD", `Visa Class`) ~ "Employment Preference", 103 | grepl("SE", `Visa Class`) ~ "Employment Preference", 104 | grepl("SG", `Visa Class`) ~ "Employment Preference", 105 | grepl("SH", `Visa Class`) ~ "Employment Preference", 106 | grepl("SJ", `Visa Class`) ~ "Employment Preference", 107 | grepl("SK", `Visa Class`) ~ "Employment Preference", 108 | grepl("SL", `Visa Class`) ~ "Employment Preference", 109 | grepl("SM", `Visa Class`) ~ "Employment Preference", 110 | grepl("SR", `Visa Class`) ~ "Employment Preference", 111 | grepl("C5", `Visa Class`) ~ "Employment Preference", 112 | grepl("T5", `Visa Class`) ~ "Employment Preference", 113 | grepl("R5", `Visa Class`) ~ "Employment Preference", 114 | grepl("I5", `Visa Class`) ~ "Employment Preference", 115 | grepl("DV", `Visa Class`) ~ "Diversity Immigrants", 116 | grepl("C2", `Visa Class`) ~ "Family Preference", 117 | grepl("IH", `Visa Class`) ~ "Immediate Relatives", 118 | grepl("SU", `Visa Class`) ~ "Family Preference", 119 | grepl("BC", `Visa Class`) ~ "Employment Preference", 120 | grepl("SI", `Visa Class`) ~ "Iraqis/Afghans who helped US abroad", 121 | grepl("SQ", `Visa Class`) ~ "Iraqis/Afghans who helped US abroad", 122 | grepl("Grand", `Visa Class`) ~ "Grand Total" 123 | 124 | )) %>% 125 | group_by(`Foreign State of Chargeability or Place of Birth`, date, type) %>% 126 | summarize(Issuances=sum(Issuances, na.rm=T)) 127 | 128 | saveRDS(nm, "output_data/nm2.rds") 129 | 130 | 131 | ## joining to weird categories 132 | 133 | countries_only <- select(consolidated_df,Country=`Foreign State`) %>% unique() %>% mutate(Match="yes") 134 | 135 | selected_countries <- read_csv("raw_data/specific_categories.csv") 136 | saveRDS(selected_countries, "output_data/categories2.rds") 137 | 138 | 139 | 140 | -------------------------------------------------------------------------------- /scripts/readme.MD: -------------------------------------------------------------------------------- 1 | ## Scripts in this folder 2 | 3 | * 01_combining_data.R 4 | * Cleans and consolidates data scraped from PDFs 5 | * 02_exploratory.R 6 | * Exploratory analysis, most code repurposed into the Shiny app 7 | * 03_combining_data_special.R 8 | * Just looking at what the data would look like if certain visa types were recategorized -------------------------------------------------------------------------------- /server.R: -------------------------------------------------------------------------------- 1 | packages <- c("shiny", "tidyverse", "stringr", "lubridate", "DT") 2 | if (length(setdiff(packages, rownames(installed.packages()))) > 0) { 3 | install.packages(setdiff(packages, rownames(installed.packages())), repos = "http://cran.us.r-project.org") 4 | } 5 | 6 | library(shiny) 7 | library(tidyverse) 8 | library(stringr) 9 | library(lubridate) 10 | library(DT) 11 | 12 | # Loading data that was compiled by the script 01_combining_data.R 13 | # The output .rds files from the output_data folder were moved into this folder where the ui.R and server.R scripts reside 14 | 15 | countries <- readRDS("output_data/consolidated_long.rds") 16 | regions <- readRDS("output_data/regional_long.rds") 17 | nm <- readRDS("output_data/nm.rds") 18 | cate <- readRDS("output_data/categories.rds") 19 | 20 | # Generating a list of regions to use in the pulldown menu in ui.R 21 | countries_region <- unique(countries$area) 22 | 23 | # Generating a list of visas to use in the pulldown menus 24 | visa_type <- unique(countries$type) 25 | 26 | # renaming a column in the monthly figures so it can be joined with another data frame later on 27 | nm <- dplyr::rename(nm, Country=`Foreign State of Chargeability or Place of Birth`) 28 | 29 | # Don't need the grand total columns 30 | nm <- filter(nm, type!="Grand Total") 31 | 32 | # Generating a list of visa types based on the monthly figures data frame 33 | visa_type_nm <- unique(nm$type) 34 | 35 | # A custom function that will deal with rounding numbers 36 | round = function(x) ifelse(x>0, trunc(x+0.5), trunc(x-0.5)); 37 | 38 | # Generating a list of countries based on the monthly figures data frame 39 | nm_countries <- unique(nm$Country) 40 | 41 | # Generating a list of countries to use in the pulldown menu in ui.R 42 | ye_countries <- unique(countries$`Foreign State`) 43 | 44 | # Prepping the countries data frame so it can focus on regions 45 | countries_regions <- select(countries, `Foreign State`, area) %>% ungroup() %>% unique 46 | countries_regions$year <- NULL 47 | countries_regions <- unique(countries_regions) 48 | 49 | nmc <- data.frame(nm_countries) 50 | colnames(nmc) <- "Country" 51 | nmc$type <- "Monthly" 52 | 53 | yec <- data.frame(ye_countries) 54 | colnames(yec) <- "Country" 55 | 56 | cnames <- full_join(nmc, yec) 57 | 58 | # Creating 2018 data to join to the annual figures by creating a projected figure from the available monthly data 59 | nm_projected <- nm %>% 60 | mutate(type=gsub("Iraqis/Afghans who helped US abroad", "Special Immigrants", type)) %>% 61 | group_by(Country, date, type) %>% 62 | summarize(Issuances=sum(Issuances, na.rm=T)) %>% 63 | group_by(Country, type) %>% 64 | ## if basing on 8 months of available data 65 | summarize(total=round(sum(Issuances)/8*12)) %>% 66 | dplyr::rename(`Foreign State`=Country) %>% 67 | left_join(countries_regions) %>% 68 | mutate(year=2018) %>% 69 | select(`Foreign State`, year, area, type, total) 70 | 71 | # Adding projected 2018 to annual data 72 | countries <- rbind(countries, nm_projected) %>% ungroup() 73 | 74 | # more cleaning 75 | nm_projected2 <- select(nm_projected, `Foreign State`, year, area, type, total) %>% 76 | summarize(what=sum(total, na.rm=T)) %>% 77 | mutate(type="Total", year=2018) %>% 78 | left_join(countries_regions) %>% 79 | select(`Foreign State`, year, area, type, total=what) 80 | 81 | countries <- rbind(countries, nm_projected2) 82 | 83 | # spreading out the dataframe so it works in a wide table 84 | # also renaming columns so they look nice and readable in the data table 85 | 86 | countries_wide <- spread(countries, year, total) %>% 87 | mutate(`Percent change '09 - '16'` =round((`2016`-`2009`)/`2009`*100), 88 | `Percent change '16 - '18'` =round((`2018`-`2016`)/`2016`*100)) 89 | 90 | 91 | # spreading out the dataframe so it works in a wide table 92 | # also renaming columns so they look nice and readable in the data table 93 | 94 | visa_types_summary <- countries %>% 95 | group_by(year, type) %>% 96 | summarize(total=sum(total)) %>% 97 | spread(year, total) %>% 98 | mutate(`Percent change '09 - '16'` =round((`2016`-`2009`)/`2009`*100), 99 | `Percent change '16 - '18'` =round((`2018`-`2016`)/`2016`*100)) 100 | 101 | 102 | shinyServer(function(input, output) { 103 | 104 | 105 | ## Plot under Countries - Chart 106 | output$top_chart <- renderPlot({ 107 | 108 | countries %>% 109 | filter(`Foreign State` %in% input$CountryPicker) %>% 110 | filter(type %in% input$VisaPicker) %>% 111 | ggplot(aes(x=as.factor(year), y=total, group=`Foreign State`, color=`Foreign State`)) + 112 | geom_line() + 113 | facet_wrap(~type) 114 | }) 115 | 116 | 117 | ## Table under Countries - Table 118 | output$top_table <- renderDataTable( 119 | 120 | countries %>% 121 | filter(`Foreign State` %in% input$CountryPicker) %>% 122 | filter(type %in% input$VisaPicker) %>% 123 | spread(year, total) %>% 124 | ungroup() %>% 125 | select(-area) 126 | ) 127 | 128 | ## Plot under Region - Chart 129 | output$region_chart <- renderPlot({ 130 | 131 | countries %>% 132 | filter(area %in% input$RegionPicker) %>% 133 | filter(type %in% input$VisaPicker2) %>% 134 | group_by(year, area, type) %>% 135 | summarize(total=sum(total, na.rm=T)) %>% 136 | ggplot(aes(x=as.factor(year), y=total, group=area, color=area)) + 137 | geom_line() + 138 | facet_wrap(~type) 139 | }) 140 | 141 | ## Plot under Region - Table 142 | output$region_table <- renderDataTable( 143 | 144 | countries %>% 145 | filter(area %in% input$RegionPicker) %>% 146 | filter(type %in% input$VisaPicker2) %>% 147 | group_by(year, area, type) %>% 148 | summarize(total=sum(total, na.rm=T))%>% 149 | spread(year, total) 150 | ) 151 | 152 | ## Plot under October - May - Chart 153 | output$nm_chart <- renderPlot({ 154 | 155 | nm %>% 156 | filter(Country %in% input$CountryPickerNM) %>% 157 | filter(type %in% input$VisaPicker3) %>% 158 | ggplot(aes(x=date, y=Issuances, group=Country, fill=Country)) + 159 | geom_col(position="dodge", stat="identity") + 160 | facet_wrap(~type) 161 | }) 162 | 163 | ## Table under October - May - Table 164 | output$nm_table <- renderDataTable( 165 | 166 | nm %>% 167 | filter(Country %in% input$CountryPickerNM) %>% 168 | filter(type %in% input$VisaPicker3) %>% 169 | spread(date, Issuances)) 170 | 171 | ## Table under Calculations | Countries - Percent change 172 | output$sum_table1 <- renderDataTable( 173 | select(countries_wide, `Foreign State`, area, type, 174 | `Percent change '09 - '16'`, 175 | `Percent change '16 - '18'` 176 | ) 177 | , 178 | filter="top") 179 | 180 | ## Table under Calculations | Visa types - Percent change 181 | 182 | output$visa_types1 <- renderDataTable( 183 | select(visa_types_summary,type, 184 | `Percent change '09 - '16'`, 185 | 186 | `Percent change '16 - '18'`) 187 | , 188 | filter="top") 189 | 190 | ## Table under Calculations | Visa types - Percent change 191 | 192 | output$visa_types3 <- renderDataTable( 193 | 194 | select(visa_types_summary,type, `2009`, `2010`, `2011`, `2012`, `2013`, `2014`, `2015`, `2016`, `2017`, `2018 (projected)`=`2018`) 195 | 196 | ,filter="top") 197 | 198 | 199 | 200 | }) 201 | -------------------------------------------------------------------------------- /shiny_app.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wpinvestigative/immigrant_visas/9a9b78c9601602e7b92c1494df59791c0202af41/shiny_app.png -------------------------------------------------------------------------------- /ui.R: -------------------------------------------------------------------------------- 1 | packages <- c("shiny", "tidyverse", "stringr", "shinythemes", "shinyWidgets", "DT") 2 | if (length(setdiff(packages, rownames(installed.packages()))) > 0) { 3 | install.packages(setdiff(packages, rownames(installed.packages())), repos = "http://cran.us.r-project.org") 4 | } 5 | 6 | library(tidyverse) 7 | library(shiny) 8 | library(stringr) 9 | library(shinythemes) 10 | library(shinyWidgets) 11 | library(DT) 12 | 13 | 14 | # Loading data that was compiled by the script 01_combining_data.R 15 | # The output .rds files from the output_data folder were moved into this folder where the ui.R and server.R scripts reside 16 | 17 | countries <- readRDS("output_data/consolidated_long.rds") 18 | regions <- readRDS("output_data/regional_long.rds") 19 | nm <- readRDS("output_data/nm.rds") 20 | cate <- readRDS("output_data/categories.rds") 21 | 22 | ## Prepping lists for pull down menu options 23 | countries_list <- unique(countries$`Foreign State`) 24 | countries_region <- unique(countries$area) 25 | visa_type <- unique(countries$type) 26 | nm <- dplyr::rename(nm, Country=`Foreign State of Chargeability or Place of Birth`) 27 | countries_list_nm <- unique(nm$Country) 28 | visa_type_nm <- unique(nm$type) 29 | specific_categories <- unique(cate$TypeOf) 30 | 31 | 32 | shinyUI(fluidPage(theme=shinytheme("flatly"), 33 | 34 | # Inserting the Washington Post Investigative logo 35 | list(tags$head(HTML(''))), 37 | div(style="padding: 1px 0px; width: '100%'", 38 | titlePanel( 39 | title="", windowTitle="Visas explorer" 40 | ) 41 | ), 42 | navbarPage( 43 | title=div(HTML(""), "Visas Explorer"), 44 | tabPanel("Countries", 45 | sidebarLayout( 46 | sidebarPanel( 47 | h4("Select Country"), 48 | pickerInput( 49 | inputId = "CountryPicker", 50 | label = NULL, 51 | choices = countries_list, 52 | selected = "Afghanistan", 53 | options = list( 54 | `actions-box` = TRUE, 55 | size = 9, 56 | `selected-text-format` = "count > 3" 57 | ), 58 | multiple = TRUE 59 | ), 60 | h4("Select Visa Type"), 61 | pickerInput( 62 | inputId = "VisaPicker", 63 | label = NULL, 64 | choices = visa_type, 65 | selected = visa_type, 66 | options = list( 67 | `actions-box` = TRUE, 68 | size = 9, 69 | `selected-text-format` = "count > 3" 70 | ), 71 | multiple = TRUE 72 | ), 73 | p("Note: 2018 figure is projected number based on 8 months of data") 74 | 75 | ), 76 | 77 | mainPanel( 78 | tabsetPanel( 79 | tabPanel("Chart", 80 | plotOutput("top_chart", height="600px") 81 | 82 | 83 | 84 | ), 85 | tabPanel("Table", 86 | 87 | dataTableOutput("top_table") 88 | 89 | )))) 90 | ), 91 | tabPanel("Region", 92 | sidebarLayout( 93 | sidebarPanel( 94 | h4("Select Region"), 95 | pickerInput( 96 | inputId = "RegionPicker", 97 | label = NULL, 98 | choices = countries_region, 99 | selected = "Asia", 100 | options = list( 101 | `actions-box` = TRUE, 102 | size = 9, 103 | `selected-text-format` = "count > 3" 104 | ), 105 | multiple = TRUE 106 | ), 107 | h4("Select Visa Type"), 108 | pickerInput( 109 | inputId = "VisaPicker2", 110 | label = NULL, 111 | choices = visa_type, 112 | selected = visa_type, 113 | options = list( 114 | `actions-box` = TRUE, 115 | size = 9, 116 | `selected-text-format` = "count > 3" 117 | ), 118 | multiple = TRUE 119 | ), 120 | 121 | p("Note: 2018 figure is projected number based on 8 months of data"), 122 | 123 | p("* Countries are categorized into regions defined by Department of State. For example, Kosovo, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan are considered by State as part of Europe instead of Asia.") 124 | 125 | 126 | ), 127 | 128 | mainPanel( 129 | tabsetPanel( 130 | tabPanel("Chart", 131 | plotOutput("region_chart", height="600px") 132 | 133 | 134 | 135 | ), 136 | tabPanel("Table", 137 | 138 | dataTableOutput("region_table") 139 | 140 | )))) 141 | ), 142 | tabPanel("October - May", 143 | sidebarLayout( 144 | sidebarPanel( 145 | h4("Select Country"), 146 | pickerInput( 147 | inputId = "CountryPickerNM", 148 | label = NULL, 149 | choices = countries_list_nm, 150 | selected = "Afghanistan", 151 | options = list( 152 | `actions-box` = TRUE, 153 | size = 9, 154 | `selected-text-format` = "count > 3" 155 | ), 156 | multiple = TRUE 157 | ), 158 | h4("Select Visa Type"), 159 | pickerInput( 160 | inputId = "VisaPicker3", 161 | label = NULL, 162 | choices = visa_type_nm, 163 | selected = visa_type_nm, 164 | options = list( 165 | `actions-box` = TRUE, 166 | size = 9, 167 | `selected-text-format` = "count > 3" 168 | ), 169 | multiple = TRUE 170 | ) 171 | 172 | ), 173 | 174 | mainPanel( 175 | tabsetPanel( 176 | tabPanel("Chart", 177 | plotOutput("nm_chart", height="600px") 178 | 179 | 180 | ), 181 | tabPanel("Table", 182 | 183 | dataTableOutput("nm_table") 184 | 185 | )))) 186 | ), 187 | tabPanel("Calculations", 188 | 189 | 190 | 191 | mainPanel( 192 | h2("Analysis (2018 is projection based on 8 months of data)"), 193 | 194 | tabsetPanel( 195 | tabPanel("Countries - Percent change", 196 | dataTableOutput("sum_table1", height="600px") 197 | 198 | 199 | 200 | 201 | ), 202 | 203 | 204 | tabPanel("Visa types - Percent change", 205 | dataTableOutput("visa_types1", height="600px") 206 | 207 | 208 | 209 | 210 | ), 211 | tabPanel("Visa types - All years", 212 | dataTableOutput("visa_types3", height="600px") 213 | 214 | 215 | 216 | 217 | ) 218 | )) 219 | ) 220 | ) 221 | 222 | )) --------------------------------------------------------------------------------