Added a bunch of new stuff

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Win 2024-11-27 20:52:31 +07:00
parent 180d1f14d1
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{
"cells": [
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"# read file\n",
"Dat = pd.read_csv(\"DataLoL.csv\")"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"# Total Game played\n",
"total_game = len(Dat['blueWins']) "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Question 1**"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Probability of team blue destroyed more structure than team red, if team blue won (using Dat) is 0.06795131845841784\n",
"Probability of team blue destroyed more structure than team red, if team blue won (using dat_blue_wins) is 0.06795131845841786\n"
]
}
],
"source": [
"# calculate probability using Dat\n",
"prob_blue_wins_more_structure = len(Dat[(Dat['blueWins'] == 1) & (Dat['blueTowersDestroyed'] > Dat['redTowersDestroyed'])]) / len(Dat) # P(A ∩ B)\n",
"prob_blue_wins = len(Dat[Dat['blueWins'] == 1]) / total_game #P(A)\n",
"\n",
"print(\"Probability of team blue destroyed more structure than team red, if team blue won (using Dat) is \", prob_blue_wins_more_structure / prob_blue_wins)\n",
"\n",
"# calculate probability using dat_blue_wins\n",
"# filter game team blue wins\n",
"dat_blue_wins = Dat[Dat['blueWins'] == 1]\n",
"\n",
"# filter game team blue win and destroyed more strcuture\n",
"dat_blue_wins_more_structure = dat_blue_wins[dat_blue_wins['blueTowersDestroyed'] > dat_blue_wins['redTowersDestroyed']] # (A ∩ B)\n",
"\n",
"#Verify using dat_blue_wins\n",
"prob_blue_wins_more_structure = len(dat_blue_wins_more_structure) / len(dat_blue_wins) # P(B|A) = P(A ∩ B) / P(A)\n",
"print(\"Probability of team blue destroyed more structure than team red, if team blue won (using dat_blue_wins) is\", prob_blue_wins_more_structure)\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Question 2**"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Probability of team blue wins, kills the dragon, kills the heralds and does the first kill is (Using chain rule) 0.037858082801903024\n",
"Probability of team blue wins, kills the dragon, kills the heralds and does the first kill is (Using new dat set) 0.037858082801903024\n"
]
}
],
"source": [
"# calcucate probability team blue wins\n",
"dat_blue_wins = Dat[Dat['blueWins'] == 1]\n",
"prob_blue_win = len(dat_blue_wins) / total_game\n",
"\n",
"# calculate probability team blue wins, kills the dragon\n",
"dat_blue_wins_and_kills_dragons = dat_blue_wins[dat_blue_wins['blueDragons'] == 1]\n",
"prob_blue_wins_and_kills_dragons = len(dat_blue_wins_and_kills_dragons) / len(dat_blue_wins) * prob_blue_win\n",
"\n",
"# calculate probability team blue wins, kills the dragon, kills the heralds\n",
"dat_blue_wins_and_kills_dragons_and_heralds = dat_blue_wins_and_kills_dragons[dat_blue_wins_and_kills_dragons['blueHeralds'] == 1]\n",
"prob_blue_wins_and_kills_dragons_and_heralds = len(dat_blue_wins_and_kills_dragons_and_heralds) / len(dat_blue_wins_and_kills_dragons) * prob_blue_wins_and_kills_dragons\n",
"\n",
"# calculate probability team blue wins, kills the dragon, kills the heralds and does the first kill\n",
"dat_blue_wins_and_kills_dragons_and_heralds_and_firstblood = dat_blue_wins_and_kills_dragons_and_heralds[dat_blue_wins_and_kills_dragons_and_heralds['blueFirstBlood'] == 1]\n",
"prob_blue_wins_and_kills_dragons_and_heralds_and_firstblood = len(dat_blue_wins_and_kills_dragons_and_heralds_and_firstblood) / len(dat_blue_wins_and_kills_dragons_and_heralds) * prob_blue_wins_and_kills_dragons_and_heralds\n",
"\n",
"print(\"Probability of team blue wins, kills the dragon, kills the heralds and does the first kill is (Using chain rule)\", prob_blue_wins_and_kills_dragons_and_heralds_and_firstblood)\n",
"print(\"Probability of team blue wins, kills the dragon, kills the heralds and does the first kill is (Using new dat set)\", len(dat_blue_wins_and_kills_dragons_and_heralds_and_firstblood) / total_game)\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Question 3**"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"Dat['blueQuantileGold'] = pd.qcut(Dat['blueTotalGold'], 4, labels=False)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"P(A) calculated using Law of Total Probability = 0.4990383642069036\n",
"P(A) is 0.4990383642069035\n"
]
}
],
"source": [
"# filter data to each quantiles\n",
"dat_quantile_1 = Dat[Dat['blueQuantileGold'] == 0]\n",
"dat_quantile_2 = Dat[Dat['blueQuantileGold'] == 1]\n",
"dat_quantile_3 = Dat[Dat['blueQuantileGold'] == 2]\n",
"dat_quantile_4 = Dat[Dat['blueQuantileGold'] == 3]\n",
"\n",
"# calculate a proportion of game in each quantiles\n",
"quantile_1_prob = len(dat_quantile_1) / total_game\n",
"quantile_2_prob = len(dat_quantile_2) / total_game\n",
"quantile_3_prob = len(dat_quantile_3) / total_game\n",
"quantile_4_prob = len(dat_quantile_4) / total_game\n",
"\n",
"# calculate team blue win rate in each quantiles\n",
"quantile_1_win_rate = len(dat_quantile_1[dat_quantile_1['blueWins'] == 1]) / len(dat_quantile_1)\n",
"quantile_2_win_rate = len(dat_quantile_2[dat_quantile_2['blueWins'] == 1]) / len(dat_quantile_2)\n",
"quantile_3_win_rate = len(dat_quantile_3[dat_quantile_3['blueWins'] == 1]) / len(dat_quantile_3)\n",
"quantile_4_win_rate = len(dat_quantile_4[dat_quantile_4['blueWins'] == 1]) / len(dat_quantile_4)\n",
"\n",
"#calculate probability team blue wins using law of total probability\n",
"prob_a = (quantile_1_prob * quantile_1_win_rate) + (quantile_2_prob * quantile_2_win_rate) + (quantile_3_prob * quantile_3_win_rate) + (quantile_4_prob * quantile_4_win_rate)\n",
"print(\"P(A) calculated using Law of Total Probability = \", prob_a)\n",
"\n",
"#Verify\n",
"prob_blue_wins = len(Dat[Dat['blueWins'] == 1]) / total_game # calculate probability (event/sample space)\n",
"print(\"P(A) is\", prob_blue_wins)\n",
"\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Question 4**"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Probability of team blue wins given that it destroyed more structure than team red (using Bayes's theorem) is 0.7596371882086167\n",
"Probability of team blue wins given that it destroyed more structure than team red (using Dat) is 0.7596371882086167\n"
]
}
],
"source": [
"# calculate probability used in Bayes's theorem\n",
"\n",
"# P(A)\n",
"prob_blue_wins = len(Dat[Dat['blueWins'] == 1]) / total_game\n",
"\n",
"# P(B)\n",
"prob_blue_more_structure = len(Dat[Dat['blueTowersDestroyed'] > Dat['redTowersDestroyed']]) / total_game\n",
"\n",
"# P(A ∩ B)\n",
"dat_blue_more_structure = Dat[Dat['blueTowersDestroyed'] > Dat['redTowersDestroyed']]\n",
"prob_blue_wins_more_structure = len(dat_blue_more_structure[dat_blue_more_structure['blueWins'] == 1]) / total_game\n",
"\n",
"# P(B|A)\n",
"prob_blue_more_structure_if_blue_wins = prob_blue_wins_more_structure / prob_blue_wins\n",
"\n",
"# calculate P(A|B) using Bayes's theorem\n",
"print(\"Probability of team blue wins given that it destroyed more structure than team red (using Bayes's theorem) is \", prob_blue_more_structure_if_blue_wins * prob_blue_wins / prob_blue_more_structure)\n",
"\n",
"\n",
"#Verify using Dat\n",
"\n",
"# P(A ∩ B)\n",
"prob_blue_wins_more_structure = len(Dat[(Dat['blueWins'] == 1) & (Dat['blueTowersDestroyed'] > Dat['redTowersDestroyed'])]) / total_game \n",
"\n",
"# P(B)\n",
"prob_blue_more_structure = len(Dat[Dat['blueTowersDestroyed'] > Dat['redTowersDestroyed']]) / total_game\n",
"\n",
"# calculate P(A|B) using Dat\n",
"print(\"Probability of team blue wins given that it destroyed more structure than team red (using Dat) is \", prob_blue_wins_more_structure / prob_blue_more_structure)\n",
"\n",
"\n"
]
}
],
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{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import scipy.stats as stats\n",
"import numpy as np\n",
"import pandas as pd\n",
"\n",
"Dat = pd.read_csv('DataLoL.csv')\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Question 2**"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(hypergeometric) Probability of observing between 21 and 40 cases of breast cancer: 0.664806\n",
"(hypergeometric) Probability of observing more than 60 cases of breast cancer: 0.000352\n",
"(hypergeometric) Probability of observing less than or equal to 30 cases of breast cancer: 0.108530\n",
"(hypergeometric) Probability of observing exactly 35 cases of breast cancer: 0.059625\n"
]
}
],
"source": [
"# Given parameters\n",
"n = 36121175 # the female population of Thailand ()\n",
"r = round((38 / 100000) * n) # the number of women in Thailand with breast cancer\n",
"k = 100000 # sample size\n",
"\n",
"# Create the hypergeometric distribution object\n",
"rv = stats.hypergeom(n, r, k)\n",
"\n",
"# Calculate the probability using hypergeometric distribution\n",
"prob_21_to_40 = rv.cdf(40) - rv.cdf(20) # (a)\n",
"\n",
"prob_more_than_60 = 1 - rv.cdf(60) # (b)\n",
"\n",
"prob_less_than_equal_30 = rv.cdf(30) # (c)\n",
"\n",
"prob_exactly_35 = rv.pmf(35) # (d)\n",
"\n",
"# Print the results\n",
"print(f\"(hypergeometric) Probability of observing between 21 and 40 cases of breast cancer: {prob_21_to_40:.6f}\")\n",
"print(f\"(hypergeometric) Probability of observing more than 60 cases of breast cancer: {prob_more_than_60:.6f}\")\n",
"print(f\"(hypergeometric) Probability of observing less than or equal to 30 cases of breast cancer: {prob_less_than_equal_30:.6f}\")\n",
"print(f\"(hypergeometric) Probability of observing exactly 35 cases of breast cancer: {prob_exactly_35:.6f}\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Question 3**"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(Binomial) Probability of observing between 21 and 40 cases of breast cancer: 0.664631\n",
"(Binomial) Probability of observing more than 60 cases of breast cancer: 0.000359\n",
"(Binomial) Probability of observing less than or equal to 30 cases of breast cancer: 0.108849\n",
"(Binomial) Probability of observing exactly 35 cases of breast cancer: 0.059569\n"
]
}
],
"source": [
"# Given parameters\n",
"n = 36121175 # the female population of Thailand\n",
"r = round((38 / 100000) * n) # the number of women in Thailand with breast cancer\n",
"k = 100000 # sample size\n",
"p = r / n # Probability of success\n",
"\n",
"# calculate the probability using binomial approximation\n",
"prob_21_to_40_binom = stats.binom.cdf(40, k, p) - stats.binom.cdf(20, k, p) # (a)\n",
"\n",
"prob_more_than_60_binom = 1 - stats.binom.cdf(60, k, p) # (b)\n",
"\n",
"prob_less_than_equal_30_binom = stats.binom.cdf(30, k, p) # (c)\n",
"\n",
"prob_exactly_35_binom = stats.binom.pmf(35, k, p) # (d)\n",
"\n",
"# Print the results\n",
"print(f\"(Binomial) Probability of observing between 21 and 40 cases of breast cancer: {prob_21_to_40_binom:.6f}\")\n",
"print(f\"(Binomial) Probability of observing more than 60 cases of breast cancer: {prob_more_than_60_binom:.6f}\")\n",
"print(f\"(Binomial) Probability of observing less than or equal to 30 cases of breast cancer: {prob_less_than_equal_30_binom:.6f}\")\n",
"print(f\"(Binomial) Probability of observing exactly 35 cases of breast cancer: {prob_exactly_35_binom:.6f}\")\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Question 4**"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(Poisson) Probability of observing between 21 and 40 cases of breast cancer: 0.664607\n",
"(Poisson) Probability of observing more than 60 cases of breast cancer: 0.000360\n",
"(Poisson) Probability of observing less than or equal to 30 cases of breast cancer: 0.108893\n",
"(Poisson) Probability of observing exactly 35 cases of breast cancer: 0.059561\n"
]
}
],
"source": [
"# Given parameters\n",
"k = 100000 # Sample size\n",
"n = 36121175 # Total female population of Thailand\n",
"r = round((38 / 100000) * n) # Estimated number of women with breast cancer\n",
"p = r / n # Probability of success\n",
"\n",
"# Calculate lambda for Poisson approximation\n",
"lambda_poisson = k * p\n",
"\n",
"# calculate the probability using poisson approximation\n",
"prob_21_to_40_poisson = stats.poisson.cdf(40, lambda_poisson) - stats.poisson.cdf(20, lambda_poisson) # (a)\n",
"\n",
"prob_more_than_60_poisson = 1 - stats.poisson.cdf(60, lambda_poisson) # (b)\n",
"\n",
"prob_less_than_equal_30_poisson = stats.poisson.cdf(30, lambda_poisson) # (c)\n",
"\n",
"prob_exactly_35_poisson = stats.poisson.pmf(35, lambda_poisson) # (d)\n",
"\n",
"# Print the results\n",
"print(f\"(Poisson) Probability of observing between 21 and 40 cases of breast cancer: {prob_21_to_40_poisson:.6f}\")\n",
"print(f\"(Poisson) Probability of observing more than 60 cases of breast cancer: {prob_more_than_60_poisson:.6f}\")\n",
"print(f\"(Poisson) Probability of observing less than or equal to 30 cases of breast cancer: {prob_less_than_equal_30_poisson:.6f}\")\n",
"print(f\"(Poisson) Probability of observing exactly 35 cases of breast cancer: {prob_exactly_35_poisson:.6f}\")\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Question 5**"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Probability of X happens before the 7th game: 0.794816\n",
"Probability of X happens at the 7th game: 0.047604\n",
"Probability of X happens after the 7th game: 0.157579\n",
"Probability of Y happens befor the 7th game: 0.277992\n",
"Probability of Y happens at the 7th game: 0.038150\n",
"Probability of Y happens after the 7th game: 0.683857\n"
]
}
],
"source": [
"# number of game in Dat\n",
"totalGame = len(Dat)\n",
"\n",
"# calculate probability of team blue wins and kills the dragon\n",
"probBlueWinsAndDragons = len(Dat[(Dat['blueWins'] == 1) & (Dat['blueDragons'] == 1)]) / totalGame\n",
"\n",
"# calculate probability of team blue wins, kills the dragon and kills the heralds\n",
"probBlueWinsAndDragonsAndHeralds = len(Dat[(Dat['blueWins'] == 1) & (Dat['blueDragons'] == 1) & (Dat['blueHeralds'] == 1)]) / totalGame\n",
"\n",
"# calculate probability of the event X\n",
"probXLessthan7 = stats.geom.cdf(6, probBlueWinsAndDragons) # (a)\n",
"\n",
"probXExactly7 = stats.geom.pmf(7, probBlueWinsAndDragons) # (b)\n",
"\n",
"probXMorethan7 = 1 - stats.geom.cdf(7, probBlueWinsAndDragons) # (c)\n",
"\n",
"# calculate probability of the event Y\n",
"probYLessthan7 = stats.geom.cdf(6, probBlueWinsAndDragonsAndHeralds) # (a)\n",
"\n",
"probYxactly7 = stats.geom.pmf(7, probBlueWinsAndDragonsAndHeralds) # (b)\n",
"\n",
"probYMorethan7 = 1 - stats.geom.cdf(7, probBlueWinsAndDragonsAndHeralds) # (c)\n",
"\n",
"# Print the results\n",
"print(f\"Probability of X happens before the 7th game: {probXLessthan7:.6f}\")\n",
"print(f\"Probability of X happens at the 7th game: {probXExactly7:.6f}\")\n",
"print(f\"Probability of X happens after the 7th game: {probXMorethan7:.6f}\")\n",
"print(f\"Probability of Y happens befor the 7th game: {probYLessthan7:.6f}\")\n",
"print(f\"Probability of Y happens at the 7th game: {probYxactly7:.6f}\")\n",
"print(f\"Probability of Y happens after the 7th game: {probYMorethan7:.6f}\")"
]
}
],
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001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;Comoros;174;KM;COM;x;;x
001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;Djibouti;262;DJ;DJI;x;;
001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;Eritrea;232;ER;ERI;x;;
001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;Ethiopia;231;ET;ETH;x;x;
001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;French Southern Territories;260;TF;ATF;;;
001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;Kenya;404;KE;KEN;;;
001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;Madagascar;450;MG;MDG;x;;
001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;Malawi;454;MW;MWI;x;x;
001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;Mauritius;480;MU;MUS;;;x
001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;Mayotte;175;YT;MYT;;;
001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;Mozambique;508;MZ;MOZ;x;;
001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;Réunion;638;RE;REU;;;
001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;Rwanda;646;RW;RWA;x;x;
001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;Seychelles;690;SC;SYC;;;x
001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;Somalia;706;SO;SOM;x;;
001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;South Sudan;728;SS;SSD;x;x;
001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;Uganda;800;UG;UGA;x;x;
001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;United Republic of Tanzania;834;TZ;TZA;x;;
001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;Zambia;894;ZM;ZMB;x;x;
001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;Zimbabwe;716;ZW;ZWE;;x;
001;World;002;Africa;202;Sub-Saharan Africa;017;Middle Africa;Angola;024;AO;AGO;x;;
001;World;002;Africa;202;Sub-Saharan Africa;017;Middle Africa;Cameroon;120;CM;CMR;;;
001;World;002;Africa;202;Sub-Saharan Africa;017;Middle Africa;Central African Republic;140;CF;CAF;x;x;
001;World;002;Africa;202;Sub-Saharan Africa;017;Middle Africa;Chad;148;TD;TCD;x;x;
001;World;002;Africa;202;Sub-Saharan Africa;017;Middle Africa;Congo;178;CG;COG;;;
001;World;002;Africa;202;Sub-Saharan Africa;017;Middle Africa;Democratic Republic of the Congo;180;CD;COD;x;;
001;World;002;Africa;202;Sub-Saharan Africa;017;Middle Africa;Equatorial Guinea;226;GQ;GNQ;;;
001;World;002;Africa;202;Sub-Saharan Africa;017;Middle Africa;Gabon;266;GA;GAB;;;
001;World;002;Africa;202;Sub-Saharan Africa;017;Middle Africa;Sao Tome and Principe;678;ST;STP;x;;x
001;World;002;Africa;202;Sub-Saharan Africa;018;Southern Africa;Botswana;072;BW;BWA;;x;
001;World;002;Africa;202;Sub-Saharan Africa;018;Southern Africa;Eswatini;748;SZ;SWZ;;x;
001;World;002;Africa;202;Sub-Saharan Africa;018;Southern Africa;Lesotho;426;LS;LSO;x;x;
001;World;002;Africa;202;Sub-Saharan Africa;018;Southern Africa;Namibia;516;NA;NAM;;;
001;World;002;Africa;202;Sub-Saharan Africa;018;Southern Africa;South Africa;710;ZA;ZAF;;;
001;World;002;Africa;202;Sub-Saharan Africa;011;Western Africa;Benin;204;BJ;BEN;x;;
001;World;002;Africa;202;Sub-Saharan Africa;011;Western Africa;Burkina Faso;854;BF;BFA;x;x;
001;World;002;Africa;202;Sub-Saharan Africa;011;Western Africa;Cabo Verde;132;CV;CPV;;;x
001;World;002;Africa;202;Sub-Saharan Africa;011;Western Africa;Côte dIvoire;384;CI;CIV;;;
001;World;002;Africa;202;Sub-Saharan Africa;011;Western Africa;Gambia;270;GM;GMB;x;;
001;World;002;Africa;202;Sub-Saharan Africa;011;Western Africa;Ghana;288;GH;GHA;;;
001;World;002;Africa;202;Sub-Saharan Africa;011;Western Africa;Guinea;324;GN;GIN;x;;
001;World;002;Africa;202;Sub-Saharan Africa;011;Western Africa;Guinea-Bissau;624;GW;GNB;x;;x
001;World;002;Africa;202;Sub-Saharan Africa;011;Western Africa;Liberia;430;LR;LBR;x;;
001;World;002;Africa;202;Sub-Saharan Africa;011;Western Africa;Mali;466;ML;MLI;x;x;
001;World;002;Africa;202;Sub-Saharan Africa;011;Western Africa;Mauritania;478;MR;MRT;x;;
001;World;002;Africa;202;Sub-Saharan Africa;011;Western Africa;Niger;562;NE;NER;x;x;
001;World;002;Africa;202;Sub-Saharan Africa;011;Western Africa;Nigeria;566;NG;NGA;;;
001;World;002;Africa;202;Sub-Saharan Africa;011;Western Africa;Saint Helena;654;SH;SHN;;;
001;World;002;Africa;202;Sub-Saharan Africa;011;Western Africa;Senegal;686;SN;SEN;x;;
001;World;002;Africa;202;Sub-Saharan Africa;011;Western Africa;Sierra Leone;694;SL;SLE;x;;
001;World;002;Africa;202;Sub-Saharan Africa;011;Western Africa;Togo;768;TG;TGO;x;;
001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Anguilla;660;AI;AIA;;;x
001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Antigua and Barbuda;028;AG;ATG;;;x
001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Aruba;533;AW;ABW;;;x
001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Bahamas;044;BS;BHS;;;x
001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Barbados;052;BB;BRB;;;x
001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Bonaire, Sint Eustatius and Saba;535;BQ;BES;;;x
001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;British Virgin Islands;092;VG;VGB;;;x
001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Cayman Islands;136;KY;CYM;;;
001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Cuba;192;CU;CUB;;;x
001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Curaçao;531;CW;CUW;;;x
001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Dominica;212;DM;DMA;;;x
001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Dominican Republic;214;DO;DOM;;;x
001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Grenada;308;GD;GRD;;;x
001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Guadeloupe;312;GP;GLP;;;
001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Haiti;332;HT;HTI;x;;x
001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Jamaica;388;JM;JAM;;;x
001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Martinique;474;MQ;MTQ;;;
001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Montserrat;500;MS;MSR;;;x
001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Puerto Rico;630;PR;PRI;;;x
001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Saint Barthélemy;652;BL;BLM;;;
001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Saint Kitts and Nevis;659;KN;KNA;;;x
001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Saint Lucia;662;LC;LCA;;;x
001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Saint Martin (French Part);663;MF;MAF;;;
001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Saint Vincent and the Grenadines;670;VC;VCT;;;x
001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Sint Maarten (Dutch part);534;SX;SXM;;;x
001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Trinidad and Tobago;780;TT;TTO;;;x
001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Turks and Caicos Islands;796;TC;TCA;;;
001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;United States Virgin Islands;850;VI;VIR;;;x
001;World;019;Americas;419;Latin America and the Caribbean;013;Central America;Belize;084;BZ;BLZ;;;x
001;World;019;Americas;419;Latin America and the Caribbean;013;Central America;Costa Rica;188;CR;CRI;;;
001;World;019;Americas;419;Latin America and the Caribbean;013;Central America;El Salvador;222;SV;SLV;;;
001;World;019;Americas;419;Latin America and the Caribbean;013;Central America;Guatemala;320;GT;GTM;;;
001;World;019;Americas;419;Latin America and the Caribbean;013;Central America;Honduras;340;HN;HND;;;
001;World;019;Americas;419;Latin America and the Caribbean;013;Central America;Mexico;484;MX;MEX;;;
001;World;019;Americas;419;Latin America and the Caribbean;013;Central America;Nicaragua;558;NI;NIC;;;
001;World;019;Americas;419;Latin America and the Caribbean;013;Central America;Panama;591;PA;PAN;;;
001;World;019;Americas;419;Latin America and the Caribbean;005;South America;Argentina;032;AR;ARG;;;
001;World;019;Americas;419;Latin America and the Caribbean;005;South America;Bolivia (Plurinational State of);068;BO;BOL;;x;
001;World;019;Americas;419;Latin America and the Caribbean;005;South America;Bouvet Island;074;BV;BVT;;;
001;World;019;Americas;419;Latin America and the Caribbean;005;South America;Brazil;076;BR;BRA;;;
001;World;019;Americas;419;Latin America and the Caribbean;005;South America;Chile;152;CL;CHL;;;
001;World;019;Americas;419;Latin America and the Caribbean;005;South America;Colombia;170;CO;COL;;;
001;World;019;Americas;419;Latin America and the Caribbean;005;South America;Ecuador;218;EC;ECU;;;
001;World;019;Americas;419;Latin America and the Caribbean;005;South America;Falkland Islands (Malvinas);238;FK;FLK;;;
001;World;019;Americas;419;Latin America and the Caribbean;005;South America;French Guiana;254;GF;GUF;;;
001;World;019;Americas;419;Latin America and the Caribbean;005;South America;Guyana;328;GY;GUY;;;x
001;World;019;Americas;419;Latin America and the Caribbean;005;South America;Paraguay;600;PY;PRY;;x;
001;World;019;Americas;419;Latin America and the Caribbean;005;South America;Peru;604;PE;PER;;;
001;World;019;Americas;419;Latin America and the Caribbean;005;South America;South Georgia and the South Sandwich Islands;239;GS;SGS;;;
001;World;019;Americas;419;Latin America and the Caribbean;005;South America;Suriname;740;SR;SUR;;;x
001;World;019;Americas;419;Latin America and the Caribbean;005;South America;Uruguay;858;UY;URY;;;
001;World;019;Americas;419;Latin America and the Caribbean;005;South America;Venezuela (Bolivarian Republic of);862;VE;VEN;;;
001;World;019;Americas;021;Northern America;;;Bermuda;060;BM;BMU;;;
001;World;019;Americas;021;Northern America;;;Canada;124;CA;CAN;;;
001;World;019;Americas;021;Northern America;;;Greenland;304;GL;GRL;;;
001;World;019;Americas;021;Northern America;;;Saint Pierre and Miquelon;666;PM;SPM;;;
001;World;019;Americas;021;Northern America;;;United States of America;840;US;USA;;;
001;World;;;;;;;Antarctica;010;AQ;ATA;;;
001;World;142;Asia;143;Central Asia;;;Kazakhstan;398;KZ;KAZ;;x;
001;World;142;Asia;143;Central Asia;;;Kyrgyzstan;417;KG;KGZ;;x;
001;World;142;Asia;143;Central Asia;;;Tajikistan;762;TJ;TJK;;x;
001;World;142;Asia;143;Central Asia;;;Turkmenistan;795;TM;TKM;;x;
001;World;142;Asia;143;Central Asia;;;Uzbekistan;860;UZ;UZB;;x;
001;World;142;Asia;030;Eastern Asia;;;China;156;CN;CHN;;;
001;World;142;Asia;030;Eastern Asia;;;China, Hong Kong Special Administrative Region;344;HK;HKG;;;
001;World;142;Asia;030;Eastern Asia;;;China, Macao Special Administrative Region;446;MO;MAC;;;
001;World;142;Asia;030;Eastern Asia;;;Democratic People's Republic of Korea;408;KP;PRK;;;
001;World;142;Asia;030;Eastern Asia;;;Japan;392;JP;JPN;;;
001;World;142;Asia;030;Eastern Asia;;;Mongolia;496;MN;MNG;;x;
001;World;142;Asia;030;Eastern Asia;;;Republic of Korea;410;KR;KOR;;;
001;World;142;Asia;035;South-eastern Asia;;;Brunei Darussalam;096;BN;BRN;;;
001;World;142;Asia;035;South-eastern Asia;;;Cambodia;116;KH;KHM;x;;
001;World;142;Asia;035;South-eastern Asia;;;Indonesia;360;ID;IDN;;;
001;World;142;Asia;035;South-eastern Asia;;;Lao People's Democratic Republic;418;LA;LAO;x;x;
001;World;142;Asia;035;South-eastern Asia;;;Malaysia;458;MY;MYS;;;
001;World;142;Asia;035;South-eastern Asia;;;Myanmar;104;MM;MMR;x;;
001;World;142;Asia;035;South-eastern Asia;;;Philippines;608;PH;PHL;;;
001;World;142;Asia;035;South-eastern Asia;;;Singapore;702;SG;SGP;;;x
001;World;142;Asia;035;South-eastern Asia;;;Thailand;764;TH;THA;;;
001;World;142;Asia;035;South-eastern Asia;;;Timor-Leste;626;TL;TLS;x;;x
001;World;142;Asia;035;South-eastern Asia;;;Viet Nam;704;VN;VNM;;;
001;World;142;Asia;034;Southern Asia;;;Afghanistan;004;AF;AFG;x;x;
001;World;142;Asia;034;Southern Asia;;;Bangladesh;050;BD;BGD;x;;
001;World;142;Asia;034;Southern Asia;;;Bhutan;064;BT;BTN;;x;
001;World;142;Asia;034;Southern Asia;;;India;356;IN;IND;;;
001;World;142;Asia;034;Southern Asia;;;Iran (Islamic Republic of);364;IR;IRN;;;
001;World;142;Asia;034;Southern Asia;;;Maldives;462;MV;MDV;;;x
001;World;142;Asia;034;Southern Asia;;;Nepal;524;NP;NPL;x;x;
001;World;142;Asia;034;Southern Asia;;;Pakistan;586;PK;PAK;;;
001;World;142;Asia;034;Southern Asia;;;Sri Lanka;144;LK;LKA;;;
001;World;142;Asia;145;Western Asia;;;Armenia;051;AM;ARM;;x;
001;World;142;Asia;145;Western Asia;;;Azerbaijan;031;AZ;AZE;;x;
001;World;142;Asia;145;Western Asia;;;Bahrain;048;BH;BHR;;;
001;World;142;Asia;145;Western Asia;;;Cyprus;196;CY;CYP;;;
001;World;142;Asia;145;Western Asia;;;Georgia;268;GE;GEO;;;
001;World;142;Asia;145;Western Asia;;;Iraq;368;IQ;IRQ;;;
001;World;142;Asia;145;Western Asia;;;Israel;376;IL;ISR;;;
001;World;142;Asia;145;Western Asia;;;Jordan;400;JO;JOR;;;
001;World;142;Asia;145;Western Asia;;;Kuwait;414;KW;KWT;;;
001;World;142;Asia;145;Western Asia;;;Lebanon;422;LB;LBN;;;
001;World;142;Asia;145;Western Asia;;;Oman;512;OM;OMN;;;
001;World;142;Asia;145;Western Asia;;;Qatar;634;QA;QAT;;;
001;World;142;Asia;145;Western Asia;;;Saudi Arabia;682;SA;SAU;;;
001;World;142;Asia;145;Western Asia;;;State of Palestine;275;PS;PSE;;;
001;World;142;Asia;145;Western Asia;;;Syrian Arab Republic;760;SY;SYR;;;
001;World;142;Asia;145;Western Asia;;;Türkiye;792;TR;TUR;;;
001;World;142;Asia;145;Western Asia;;;United Arab Emirates;784;AE;ARE;;;
001;World;142;Asia;145;Western Asia;;;Yemen;887;YE;YEM;x;;
001;World;150;Europe;151;Eastern Europe;;;Belarus;112;BY;BLR;;;
001;World;150;Europe;151;Eastern Europe;;;Bulgaria;100;BG;BGR;;;
001;World;150;Europe;151;Eastern Europe;;;Czechia;203;CZ;CZE;;;
001;World;150;Europe;151;Eastern Europe;;;Hungary;348;HU;HUN;;;
001;World;150;Europe;151;Eastern Europe;;;Poland;616;PL;POL;;;
001;World;150;Europe;151;Eastern Europe;;;Republic of Moldova;498;MD;MDA;;x;
001;World;150;Europe;151;Eastern Europe;;;Romania;642;RO;ROU;;;
001;World;150;Europe;151;Eastern Europe;;;Russian Federation;643;RU;RUS;;;
001;World;150;Europe;151;Eastern Europe;;;Slovakia;703;SK;SVK;;;
001;World;150;Europe;151;Eastern Europe;;;Ukraine;804;UA;UKR;;;
001;World;150;Europe;154;Northern Europe;;;Åland Islands;248;AX;ALA;;;
001;World;150;Europe;154;Northern Europe;;;Denmark;208;DK;DNK;;;
001;World;150;Europe;154;Northern Europe;;;Estonia;233;EE;EST;;;
001;World;150;Europe;154;Northern Europe;;;Faroe Islands;234;FO;FRO;;;
001;World;150;Europe;154;Northern Europe;;;Finland;246;FI;FIN;;;
001;World;150;Europe;154;Northern Europe;;;Guernsey;831;GG;GGY;;;
001;World;150;Europe;154;Northern Europe;;;Iceland;352;IS;ISL;;;
001;World;150;Europe;154;Northern Europe;;;Ireland;372;IE;IRL;;;
001;World;150;Europe;154;Northern Europe;;;Isle of Man;833;IM;IMN;;;
001;World;150;Europe;154;Northern Europe;;;Jersey;832;JE;JEY;;;
001;World;150;Europe;154;Northern Europe;;;Latvia;428;LV;LVA;;;
001;World;150;Europe;154;Northern Europe;;;Lithuania;440;LT;LTU;;;
001;World;150;Europe;154;Northern Europe;;;Norway;578;NO;NOR;;;
001;World;150;Europe;154;Northern Europe;;;Svalbard and Jan Mayen Islands;744;SJ;SJM;;;
001;World;150;Europe;154;Northern Europe;;;Sweden;752;SE;SWE;;;
001;World;150;Europe;154;Northern Europe;;;United Kingdom of Great Britain and Northern Ireland;826;GB;GBR;;;
001;World;150;Europe;039;Southern Europe;;;Albania;008;AL;ALB;;;
001;World;150;Europe;039;Southern Europe;;;Andorra;020;AD;AND;;;
001;World;150;Europe;039;Southern Europe;;;Bosnia and Herzegovina;070;BA;BIH;;;
001;World;150;Europe;039;Southern Europe;;;Croatia;191;HR;HRV;;;
001;World;150;Europe;039;Southern Europe;;;Gibraltar;292;GI;GIB;;;
001;World;150;Europe;039;Southern Europe;;;Greece;300;GR;GRC;;;
001;World;150;Europe;039;Southern Europe;;;Holy See;336;VA;VAT;;;
001;World;150;Europe;039;Southern Europe;;;Italy;380;IT;ITA;;;
001;World;150;Europe;039;Southern Europe;;;Malta;470;MT;MLT;;;
001;World;150;Europe;039;Southern Europe;;;Montenegro;499;ME;MNE;;;
001;World;150;Europe;039;Southern Europe;;;North Macedonia;807;MK;MKD;;x;
001;World;150;Europe;039;Southern Europe;;;Portugal;620;PT;PRT;;;
001;World;150;Europe;039;Southern Europe;;;San Marino;674;SM;SMR;;;
001;World;150;Europe;039;Southern Europe;;;Serbia;688;RS;SRB;;;
001;World;150;Europe;039;Southern Europe;;;Slovenia;705;SI;SVN;;;
001;World;150;Europe;039;Southern Europe;;;Spain;724;ES;ESP;;;
001;World;150;Europe;155;Western Europe;;;Austria;040;AT;AUT;;;
001;World;150;Europe;155;Western Europe;;;Belgium;056;BE;BEL;;;
001;World;150;Europe;155;Western Europe;;;France;250;FR;FRA;;;
001;World;150;Europe;155;Western Europe;;;Germany;276;DE;DEU;;;
001;World;150;Europe;155;Western Europe;;;Liechtenstein;438;LI;LIE;;;
001;World;150;Europe;155;Western Europe;;;Luxembourg;442;LU;LUX;;;
001;World;150;Europe;155;Western Europe;;;Monaco;492;MC;MCO;;;
001;World;150;Europe;155;Western Europe;;;Netherlands (Kingdom of the);528;NL;NLD;;;
001;World;150;Europe;155;Western Europe;;;Switzerland;756;CH;CHE;;;
001;World;009;Oceania;053;Australia and New Zealand;;;Australia;036;AU;AUS;;;
001;World;009;Oceania;053;Australia and New Zealand;;;Christmas Island;162;CX;CXR;;;
001;World;009;Oceania;053;Australia and New Zealand;;;Cocos (Keeling) Islands;166;CC;CCK;;;
001;World;009;Oceania;053;Australia and New Zealand;;;Heard Island and McDonald Islands;334;HM;HMD;;;
001;World;009;Oceania;053;Australia and New Zealand;;;New Zealand;554;NZ;NZL;;;
001;World;009;Oceania;053;Australia and New Zealand;;;Norfolk Island;574;NF;NFK;;;
001;World;009;Oceania;054;Melanesia;;;Fiji;242;FJ;FJI;;;x
001;World;009;Oceania;054;Melanesia;;;New Caledonia;540;NC;NCL;;;x
001;World;009;Oceania;054;Melanesia;;;Papua New Guinea;598;PG;PNG;;;x
001;World;009;Oceania;054;Melanesia;;;Solomon Islands;090;SB;SLB;x;;x
001;World;009;Oceania;054;Melanesia;;;Vanuatu;548;VU;VUT;;;x
001;World;009;Oceania;057;Micronesia;;;Guam;316;GU;GUM;;;x
001;World;009;Oceania;057;Micronesia;;;Kiribati;296;KI;KIR;x;;x
001;World;009;Oceania;057;Micronesia;;;Marshall Islands;584;MH;MHL;;;x
001;World;009;Oceania;057;Micronesia;;;Micronesia (Federated States of);583;FM;FSM;;;x
001;World;009;Oceania;057;Micronesia;;;Nauru;520;NR;NRU;;;x
001;World;009;Oceania;057;Micronesia;;;Northern Mariana Islands;580;MP;MNP;;;x
001;World;009;Oceania;057;Micronesia;;;Palau;585;PW;PLW;;;x
001;World;009;Oceania;057;Micronesia;;;United States Minor Outlying Islands;581;UM;UMI;;;
001;World;009;Oceania;061;Polynesia;;;American Samoa;016;AS;ASM;;;x
001;World;009;Oceania;061;Polynesia;;;Cook Islands;184;CK;COK;;;x
001;World;009;Oceania;061;Polynesia;;;French Polynesia;258;PF;PYF;;;x
001;World;009;Oceania;061;Polynesia;;;Niue;570;NU;NIU;;;x
001;World;009;Oceania;061;Polynesia;;;Pitcairn;612;PN;PCN;;;
001;World;009;Oceania;061;Polynesia;;;Samoa;882;WS;WSM;;;x
001;World;009;Oceania;061;Polynesia;;;Tokelau;772;TK;TKL;;;
001;World;009;Oceania;061;Polynesia;;;Tonga;776;TO;TON;;;x
001;World;009;Oceania;061;Polynesia;;;Tuvalu;798;TV;TUV;x;;x
001;World;009;Oceania;061;Polynesia;;;Wallis and Futuna Islands;876;WF;WLF;;;
1 Global Code Global Name Region Code Region Name Sub-region Code Sub-region Name Intermediate Region Code Intermediate Region Name Country or Area M49 Code ISO-alpha2 Code ISO-alpha3 Code Least Developed Countries (LDC) Land Locked Developing Countries (LLDC) Small Island Developing States (SIDS)
2 001 World 002 Africa 015 Northern Africa Algeria 012 DZ DZA
3 001 World 002 Africa 015 Northern Africa Egypt 818 EG EGY
4 001 World 002 Africa 015 Northern Africa Libya 434 LY LBY
5 001 World 002 Africa 015 Northern Africa Morocco 504 MA MAR
6 001 World 002 Africa 015 Northern Africa Sudan 729 SD SDN x
7 001 World 002 Africa 015 Northern Africa Tunisia 788 TN TUN
8 001 World 002 Africa 015 Northern Africa Western Sahara 732 EH ESH
9 001 World 002 Africa 202 Sub-Saharan Africa 014 Eastern Africa British Indian Ocean Territory 086 IO IOT
10 001 World 002 Africa 202 Sub-Saharan Africa 014 Eastern Africa Burundi 108 BI BDI x x
11 001 World 002 Africa 202 Sub-Saharan Africa 014 Eastern Africa Comoros 174 KM COM x x
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162 001 World 142 Asia 145 Western Asia Oman 512 OM OMN
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171 001 World 150 Europe 151 Eastern Europe Bulgaria 100 BG BGR
172 001 World 150 Europe 151 Eastern Europe Czechia 203 CZ CZE
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175 001 World 150 Europe 151 Eastern Europe Republic of Moldova 498 MD MDA x
176 001 World 150 Europe 151 Eastern Europe Romania 642 RO ROU
177 001 World 150 Europe 151 Eastern Europe Russian Federation 643 RU RUS
178 001 World 150 Europe 151 Eastern Europe Slovakia 703 SK SVK
179 001 World 150 Europe 151 Eastern Europe Ukraine 804 UA UKR
180 001 World 150 Europe 154 Northern Europe Åland Islands 248 AX ALA
181 001 World 150 Europe 154 Northern Europe Denmark 208 DK DNK
182 001 World 150 Europe 154 Northern Europe Estonia 233 EE EST
183 001 World 150 Europe 154 Northern Europe Faroe Islands 234 FO FRO
184 001 World 150 Europe 154 Northern Europe Finland 246 FI FIN
185 001 World 150 Europe 154 Northern Europe Guernsey 831 GG GGY
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187 001 World 150 Europe 154 Northern Europe Ireland 372 IE IRL
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191 001 World 150 Europe 154 Northern Europe Lithuania 440 LT LTU
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193 001 World 150 Europe 154 Northern Europe Svalbard and Jan Mayen Islands 744 SJ SJM
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197 001 World 150 Europe 039 Southern Europe Andorra 020 AD AND
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201 001 World 150 Europe 039 Southern Europe Greece 300 GR GRC
202 001 World 150 Europe 039 Southern Europe Holy See 336 VA VAT
203 001 World 150 Europe 039 Southern Europe Italy 380 IT ITA
204 001 World 150 Europe 039 Southern Europe Malta 470 MT MLT
205 001 World 150 Europe 039 Southern Europe Montenegro 499 ME MNE
206 001 World 150 Europe 039 Southern Europe North Macedonia 807 MK MKD x
207 001 World 150 Europe 039 Southern Europe Portugal 620 PT PRT
208 001 World 150 Europe 039 Southern Europe San Marino 674 SM SMR
209 001 World 150 Europe 039 Southern Europe Serbia 688 RS SRB
210 001 World 150 Europe 039 Southern Europe Slovenia 705 SI SVN
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212 001 World 150 Europe 155 Western Europe Austria 040 AT AUT
213 001 World 150 Europe 155 Western Europe Belgium 056 BE BEL
214 001 World 150 Europe 155 Western Europe France 250 FR FRA
215 001 World 150 Europe 155 Western Europe Germany 276 DE DEU
216 001 World 150 Europe 155 Western Europe Liechtenstein 438 LI LIE
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218 001 World 150 Europe 155 Western Europe Monaco 492 MC MCO
219 001 World 150 Europe 155 Western Europe Netherlands (Kingdom of the) 528 NL NLD
220 001 World 150 Europe 155 Western Europe Switzerland 756 CH CHE
221 001 World 009 Oceania 053 Australia and New Zealand Australia 036 AU AUS
222 001 World 009 Oceania 053 Australia and New Zealand Christmas Island 162 CX CXR
223 001 World 009 Oceania 053 Australia and New Zealand Cocos (Keeling) Islands 166 CC CCK
224 001 World 009 Oceania 053 Australia and New Zealand Heard Island and McDonald Islands 334 HM HMD
225 001 World 009 Oceania 053 Australia and New Zealand New Zealand 554 NZ NZL
226 001 World 009 Oceania 053 Australia and New Zealand Norfolk Island 574 NF NFK
227 001 World 009 Oceania 054 Melanesia Fiji 242 FJ FJI x
228 001 World 009 Oceania 054 Melanesia New Caledonia 540 NC NCL x
229 001 World 009 Oceania 054 Melanesia Papua New Guinea 598 PG PNG x
230 001 World 009 Oceania 054 Melanesia Solomon Islands 090 SB SLB x x
231 001 World 009 Oceania 054 Melanesia Vanuatu 548 VU VUT x
232 001 World 009 Oceania 057 Micronesia Guam 316 GU GUM x
233 001 World 009 Oceania 057 Micronesia Kiribati 296 KI KIR x x
234 001 World 009 Oceania 057 Micronesia Marshall Islands 584 MH MHL x
235 001 World 009 Oceania 057 Micronesia Micronesia (Federated States of) 583 FM FSM x
236 001 World 009 Oceania 057 Micronesia Nauru 520 NR NRU x
237 001 World 009 Oceania 057 Micronesia Northern Mariana Islands 580 MP MNP x
238 001 World 009 Oceania 057 Micronesia Palau 585 PW PLW x
239 001 World 009 Oceania 057 Micronesia United States Minor Outlying Islands 581 UM UMI
240 001 World 009 Oceania 061 Polynesia American Samoa 016 AS ASM x
241 001 World 009 Oceania 061 Polynesia Cook Islands 184 CK COK x
242 001 World 009 Oceania 061 Polynesia French Polynesia 258 PF PYF x
243 001 World 009 Oceania 061 Polynesia Niue 570 NU NIU x
244 001 World 009 Oceania 061 Polynesia Pitcairn 612 PN PCN
245 001 World 009 Oceania 061 Polynesia Samoa 882 WS WSM x
246 001 World 009 Oceania 061 Polynesia Tokelau 772 TK TKL
247 001 World 009 Oceania 061 Polynesia Tonga 776 TO TON x
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