Upload 2 files
Browse files- LIFE_TEST.csv +1265 -0
- LIFE_TRAIN.csv +0 -0
LIFE_TEST.csv
ADDED
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|
| 1 |
+
country_code,country_name,year,value
|
| 2 |
+
ABW,Aruba,2016,75.617
|
| 3 |
+
ABW,Aruba,2017,75.903
|
| 4 |
+
ABW,Aruba,2018,76.072
|
| 5 |
+
ABW,Aruba,2019,76.248
|
| 6 |
+
ABW,Aruba,2020,75.723
|
| 7 |
+
AFE,Africa Eastern and Southern,2016,62.4440448894169
|
| 8 |
+
AFE,Africa Eastern and Southern,2017,62.9223846035263
|
| 9 |
+
AFE,Africa Eastern and Southern,2018,63.3658579512382
|
| 10 |
+
AFE,Africa Eastern and Southern,2019,63.7556736140197
|
| 11 |
+
AFE,Africa Eastern and Southern,2020,63.3138559861117
|
| 12 |
+
AFG,Afghanistan,2016,63.136
|
| 13 |
+
AFG,Afghanistan,2017,63.016
|
| 14 |
+
AFG,Afghanistan,2018,63.081
|
| 15 |
+
AFG,Afghanistan,2019,63.565
|
| 16 |
+
AFG,Afghanistan,2020,62.575
|
| 17 |
+
AFW,Africa Western and Central,2016,56.5816784850503
|
| 18 |
+
AFW,Africa Western and Central,2017,56.888445830282
|
| 19 |
+
AFW,Africa Western and Central,2018,57.1891392680655
|
| 20 |
+
AFW,Africa Western and Central,2019,57.5557955517512
|
| 21 |
+
AFW,Africa Western and Central,2020,57.2263727312399
|
| 22 |
+
AGO,Angola,2016,61.092
|
| 23 |
+
AGO,Angola,2017,61.68
|
| 24 |
+
AGO,Angola,2018,62.144
|
| 25 |
+
AGO,Angola,2019,62.448
|
| 26 |
+
AGO,Angola,2020,62.261
|
| 27 |
+
ALB,Albania,2016,78.86
|
| 28 |
+
ALB,Albania,2017,79.047
|
| 29 |
+
ALB,Albania,2018,79.184
|
| 30 |
+
ALB,Albania,2019,79.282
|
| 31 |
+
ALB,Albania,2020,76.989
|
| 32 |
+
ARB,Arab World,2016,70.9430622781923
|
| 33 |
+
ARB,Arab World,2017,71.4295960025113
|
| 34 |
+
ARB,Arab World,2018,71.6330166549463
|
| 35 |
+
ARB,Arab World,2019,71.8446260250446
|
| 36 |
+
ARB,Arab World,2020,70.9233595872331
|
| 37 |
+
ARE,United Arab Emirates,2016,79.335
|
| 38 |
+
ARE,United Arab Emirates,2017,79.504
|
| 39 |
+
ARE,United Arab Emirates,2018,79.627
|
| 40 |
+
ARE,United Arab Emirates,2019,79.726
|
| 41 |
+
ARE,United Arab Emirates,2020,78.946
|
| 42 |
+
ARG,Argentina,2016,76.308
|
| 43 |
+
ARG,Argentina,2017,76.833
|
| 44 |
+
ARG,Argentina,2018,76.999
|
| 45 |
+
ARG,Argentina,2019,77.284
|
| 46 |
+
ARG,Argentina,2020,75.892
|
| 47 |
+
ARM,Armenia,2016,74.664
|
| 48 |
+
ARM,Armenia,2017,74.906
|
| 49 |
+
ARM,Armenia,2018,75.064
|
| 50 |
+
ARM,Armenia,2019,75.439
|
| 51 |
+
ARM,Armenia,2020,72.173
|
| 52 |
+
ATG,Antigua and Barbuda,2016,78.152
|
| 53 |
+
ATG,Antigua and Barbuda,2017,78.268
|
| 54 |
+
ATG,Antigua and Barbuda,2018,78.511
|
| 55 |
+
ATG,Antigua and Barbuda,2019,78.691
|
| 56 |
+
ATG,Antigua and Barbuda,2020,78.841
|
| 57 |
+
AUS,Australia,2016,82.4487804878049
|
| 58 |
+
AUS,Australia,2017,82.5
|
| 59 |
+
AUS,Australia,2018,82.7487804878049
|
| 60 |
+
AUS,Australia,2019,82.9
|
| 61 |
+
AUS,Australia,2020,83.2
|
| 62 |
+
AUT,Austria,2016,81.6414634146342
|
| 63 |
+
AUT,Austria,2017,81.6439024390244
|
| 64 |
+
AUT,Austria,2018,81.6926829268293
|
| 65 |
+
AUT,Austria,2019,81.8951219512195
|
| 66 |
+
AUT,Austria,2020,81.1926829268293
|
| 67 |
+
AZE,Azerbaijan,2016,72.004
|
| 68 |
+
AZE,Azerbaijan,2017,72.248
|
| 69 |
+
AZE,Azerbaijan,2018,72.76
|
| 70 |
+
AZE,Azerbaijan,2019,73.102
|
| 71 |
+
AZE,Azerbaijan,2020,66.868
|
| 72 |
+
BDI,Burundi,2016,60.793
|
| 73 |
+
BDI,Burundi,2017,61.553
|
| 74 |
+
BDI,Burundi,2018,61.688
|
| 75 |
+
BDI,Burundi,2019,62.351
|
| 76 |
+
BDI,Burundi,2020,61.566
|
| 77 |
+
BEL,Belgium,2016,81.4390243902439
|
| 78 |
+
BEL,Belgium,2017,81.4926829268293
|
| 79 |
+
BEL,Belgium,2018,81.5951219512195
|
| 80 |
+
BEL,Belgium,2019,81.9951219512195
|
| 81 |
+
BEL,Belgium,2020,80.7951219512195
|
| 82 |
+
BEN,Benin,2016,59.539
|
| 83 |
+
BEN,Benin,2017,59.856
|
| 84 |
+
BEN,Benin,2018,60.14
|
| 85 |
+
BEN,Benin,2019,60.454
|
| 86 |
+
BEN,Benin,2020,60.088
|
| 87 |
+
BFA,Burkina Faso,2016,59.326
|
| 88 |
+
BFA,Burkina Faso,2017,59.536
|
| 89 |
+
BFA,Burkina Faso,2018,60.047
|
| 90 |
+
BFA,Burkina Faso,2019,60.039
|
| 91 |
+
BFA,Burkina Faso,2020,59.731
|
| 92 |
+
BGD,Bangladesh,2016,71.09
|
| 93 |
+
BGD,Bangladesh,2017,71.788
|
| 94 |
+
BGD,Bangladesh,2018,72.567
|
| 95 |
+
BGD,Bangladesh,2019,72.806
|
| 96 |
+
BGD,Bangladesh,2020,71.968
|
| 97 |
+
BGR,Bulgaria,2016,74.8121951219512
|
| 98 |
+
BGR,Bulgaria,2017,74.8146341463415
|
| 99 |
+
BGR,Bulgaria,2018,74.9634146341464
|
| 100 |
+
BGR,Bulgaria,2019,75.1121951219512
|
| 101 |
+
BGR,Bulgaria,2020,73.6073170731707
|
| 102 |
+
BHR,Bahrain,2016,79.557
|
| 103 |
+
BHR,Bahrain,2017,79.689
|
| 104 |
+
BHR,Bahrain,2018,79.857
|
| 105 |
+
BHR,Bahrain,2019,80.019
|
| 106 |
+
BHR,Bahrain,2020,79.174
|
| 107 |
+
BHS,"Bahamas, The",2016,73.537
|
| 108 |
+
BHS,"Bahamas, The",2017,73.632
|
| 109 |
+
BHS,"Bahamas, The",2018,73.806
|
| 110 |
+
BHS,"Bahamas, The",2019,71.205
|
| 111 |
+
BHS,"Bahamas, The",2020,72.677
|
| 112 |
+
BIH,Bosnia and Herzegovina,2016,76.808
|
| 113 |
+
BIH,Bosnia and Herzegovina,2017,76.935
|
| 114 |
+
BIH,Bosnia and Herzegovina,2018,77.093
|
| 115 |
+
BIH,Bosnia and Herzegovina,2019,77.241
|
| 116 |
+
BIH,Bosnia and Herzegovina,2020,76.225
|
| 117 |
+
BLR,Belarus,2016,73.8268292682927
|
| 118 |
+
BLR,Belarus,2017,74.1292682926829
|
| 119 |
+
BLR,Belarus,2018,74.1756097560976
|
| 120 |
+
BLR,Belarus,2019,74.2268292682927
|
| 121 |
+
BLR,Belarus,2020,74.2268292682927
|
| 122 |
+
BLZ,Belize,2016,73.399
|
| 123 |
+
BLZ,Belize,2017,73.562
|
| 124 |
+
BLZ,Belize,2018,73.703
|
| 125 |
+
BLZ,Belize,2019,73.931
|
| 126 |
+
BLZ,Belize,2020,72.854
|
| 127 |
+
BMU,Bermuda,2016,81.2270731707317
|
| 128 |
+
BMU,Bermuda,2017,81.4419512195122
|
| 129 |
+
BMU,Bermuda,2018,81.6517073170732
|
| 130 |
+
BMU,Bermuda,2019,81.8665853658537
|
| 131 |
+
BMU,Bermuda,2020,82.0560975609756
|
| 132 |
+
BOL,Bolivia,2016,67.628
|
| 133 |
+
BOL,Bolivia,2017,67.701
|
| 134 |
+
BOL,Bolivia,2018,67.748
|
| 135 |
+
BOL,Bolivia,2019,67.841
|
| 136 |
+
BOL,Bolivia,2020,64.467
|
| 137 |
+
BRA,Brazil,2016,74.442
|
| 138 |
+
BRA,Brazil,2017,74.827
|
| 139 |
+
BRA,Brazil,2018,75.109
|
| 140 |
+
BRA,Brazil,2019,75.338
|
| 141 |
+
BRA,Brazil,2020,74.009
|
| 142 |
+
BRB,Barbados,2016,76.815
|
| 143 |
+
BRB,Barbados,2017,76.936
|
| 144 |
+
BRB,Barbados,2018,77.067
|
| 145 |
+
BRB,Barbados,2019,77.257
|
| 146 |
+
BRB,Barbados,2020,77.393
|
| 147 |
+
BRN,Brunei Darussalam,2016,74.733
|
| 148 |
+
BRN,Brunei Darussalam,2017,74.722
|
| 149 |
+
BRN,Brunei Darussalam,2018,74.712
|
| 150 |
+
BRN,Brunei Darussalam,2019,74.748
|
| 151 |
+
BRN,Brunei Darussalam,2020,74.795
|
| 152 |
+
BTN,Bhutan,2016,70.602
|
| 153 |
+
BTN,Bhutan,2017,70.847
|
| 154 |
+
BTN,Bhutan,2018,71.129
|
| 155 |
+
BTN,Bhutan,2019,71.391
|
| 156 |
+
BTN,Bhutan,2020,71.609
|
| 157 |
+
BWA,Botswana,2016,65.464
|
| 158 |
+
BWA,Botswana,2017,66.753
|
| 159 |
+
BWA,Botswana,2018,65.422
|
| 160 |
+
BWA,Botswana,2019,65.464
|
| 161 |
+
BWA,Botswana,2020,65.647
|
| 162 |
+
CAF,Central African Republic,2016,53.46
|
| 163 |
+
CAF,Central African Republic,2017,53.721
|
| 164 |
+
CAF,Central African Republic,2018,54.369
|
| 165 |
+
CAF,Central African Republic,2019,55.025
|
| 166 |
+
CAF,Central African Republic,2020,54.604
|
| 167 |
+
CAN,Canada,2016,81.9
|
| 168 |
+
CAN,Canada,2017,81.9
|
| 169 |
+
CAN,Canada,2018,82.0487804878049
|
| 170 |
+
CAN,Canada,2019,82.0487804878049
|
| 171 |
+
CAN,Canada,2020,81.7487804878049
|
| 172 |
+
CEB,Central Europe and the Baltics,2016,76.9698114171911
|
| 173 |
+
CEB,Central Europe and the Baltics,2017,76.9474426395729
|
| 174 |
+
CEB,Central Europe and the Baltics,2018,76.9768226818402
|
| 175 |
+
CEB,Central Europe and the Baltics,2019,77.2668446661451
|
| 176 |
+
CEB,Central Europe and the Baltics,2020,76.1440342769168
|
| 177 |
+
CHE,Switzerland,2016,83.6024390243903
|
| 178 |
+
CHE,Switzerland,2017,83.5512195121951
|
| 179 |
+
CHE,Switzerland,2018,83.7536585365854
|
| 180 |
+
CHE,Switzerland,2019,83.9048780487805
|
| 181 |
+
CHE,Switzerland,2020,83.1
|
| 182 |
+
CHI,Channel Islands,2016,81.366
|
| 183 |
+
CHI,Channel Islands,2017,81.331
|
| 184 |
+
CHI,Channel Islands,2018,81.375
|
| 185 |
+
CHI,Channel Islands,2019,81.39
|
| 186 |
+
CHI,Channel Islands,2020,81.264
|
| 187 |
+
CHL,Chile,2016,80.079
|
| 188 |
+
CHL,Chile,2017,80.35
|
| 189 |
+
CHL,Chile,2018,80.133
|
| 190 |
+
CHL,Chile,2019,80.326
|
| 191 |
+
CHL,Chile,2020,79.377
|
| 192 |
+
CHN,China,2016,77.218
|
| 193 |
+
CHN,China,2017,77.248
|
| 194 |
+
CHN,China,2018,77.744
|
| 195 |
+
CHN,China,2019,77.968
|
| 196 |
+
CHN,China,2020,78.077
|
| 197 |
+
CIV,Cote d'Ivoire,2016,58.06
|
| 198 |
+
CIV,Cote d'Ivoire,2017,58.48
|
| 199 |
+
CIV,Cote d'Ivoire,2018,58.849
|
| 200 |
+
CIV,Cote d'Ivoire,2019,59.319
|
| 201 |
+
CIV,Cote d'Ivoire,2020,59.032
|
| 202 |
+
CMR,Cameroon,2016,60.233
|
| 203 |
+
CMR,Cameroon,2017,60.81
|
| 204 |
+
CMR,Cameroon,2018,61.18
|
| 205 |
+
CMR,Cameroon,2019,61.584
|
| 206 |
+
CMR,Cameroon,2020,60.833
|
| 207 |
+
COD,"Congo, Dem. Rep.",2016,59.066
|
| 208 |
+
COD,"Congo, Dem. Rep.",2017,59.411
|
| 209 |
+
COD,"Congo, Dem. Rep.",2018,59.942
|
| 210 |
+
COD,"Congo, Dem. Rep.",2019,60.276
|
| 211 |
+
COD,"Congo, Dem. Rep.",2020,59.739
|
| 212 |
+
COG,"Congo, Rep.",2016,63.577
|
| 213 |
+
COG,"Congo, Rep.",2017,63.76
|
| 214 |
+
COG,"Congo, Rep.",2018,64.053
|
| 215 |
+
COG,"Congo, Rep.",2019,62.747
|
| 216 |
+
COG,"Congo, Rep.",2020,63.785
|
| 217 |
+
COL,Colombia,2016,76.471
|
| 218 |
+
COL,Colombia,2017,76.646
|
| 219 |
+
COL,Colombia,2018,76.748
|
| 220 |
+
COL,Colombia,2019,76.752
|
| 221 |
+
COL,Colombia,2020,74.769
|
| 222 |
+
COM,Comoros,2016,63.237
|
| 223 |
+
COM,Comoros,2017,63.625
|
| 224 |
+
COM,Comoros,2018,63.912
|
| 225 |
+
COM,Comoros,2019,64.068
|
| 226 |
+
COM,Comoros,2020,64.166
|
| 227 |
+
CPV,Cabo Verde,2016,75.742
|
| 228 |
+
CPV,Cabo Verde,2017,76.593
|
| 229 |
+
CPV,Cabo Verde,2018,75.733
|
| 230 |
+
CPV,Cabo Verde,2019,76.004
|
| 231 |
+
CPV,Cabo Verde,2020,74.808
|
| 232 |
+
CRI,Costa Rica,2016,79.459
|
| 233 |
+
CRI,Costa Rica,2017,79.377
|
| 234 |
+
CRI,Costa Rica,2018,79.484
|
| 235 |
+
CRI,Costa Rica,2019,79.427
|
| 236 |
+
CRI,Costa Rica,2020,79.277
|
| 237 |
+
CSS,Caribbean small states,2016,72.58985680881
|
| 238 |
+
CSS,Caribbean small states,2017,72.6556883280453
|
| 239 |
+
CSS,Caribbean small states,2018,72.5812150021789
|
| 240 |
+
CSS,Caribbean small states,2019,72.5194980301061
|
| 241 |
+
CSS,Caribbean small states,2020,72.5748824441501
|
| 242 |
+
CUB,Cuba,2016,77.643
|
| 243 |
+
CUB,Cuba,2017,77.529
|
| 244 |
+
CUB,Cuba,2018,77.496
|
| 245 |
+
CUB,Cuba,2019,77.611
|
| 246 |
+
CUB,Cuba,2020,77.567
|
| 247 |
+
CUW,Curacao,2016,77.719512195122
|
| 248 |
+
CUW,Curacao,2017,78.0170731707317
|
| 249 |
+
CUW,Curacao,2020,78.7847317073171
|
| 250 |
+
CYP,Cyprus,2016,81.056
|
| 251 |
+
CYP,Cyprus,2017,81.328
|
| 252 |
+
CYP,Cyprus,2018,81.382
|
| 253 |
+
CYP,Cyprus,2019,81.397
|
| 254 |
+
CYP,Cyprus,2020,81.391
|
| 255 |
+
CZE,Czechia,2016,79.0268292682927
|
| 256 |
+
CZE,Czechia,2017,78.9780487804878
|
| 257 |
+
CZE,Czechia,2018,79.0292682926829
|
| 258 |
+
CZE,Czechia,2019,79.2292682926829
|
| 259 |
+
CZE,Czechia,2020,78.2268292682927
|
| 260 |
+
DEU,Germany,2016,80.990243902439
|
| 261 |
+
DEU,Germany,2017,80.9926829268293
|
| 262 |
+
DEU,Germany,2018,80.8926829268293
|
| 263 |
+
DEU,Germany,2019,81.2926829268293
|
| 264 |
+
DEU,Germany,2020,80.9414634146342
|
| 265 |
+
DJI,Djibouti,2016,62.191
|
| 266 |
+
DJI,Djibouti,2017,62.797
|
| 267 |
+
DJI,Djibouti,2018,63.038
|
| 268 |
+
DJI,Djibouti,2019,63.085
|
| 269 |
+
DJI,Djibouti,2020,62.694
|
| 270 |
+
DNK,Denmark,2016,80.8536585365854
|
| 271 |
+
DNK,Denmark,2017,81.1024390243903
|
| 272 |
+
DNK,Denmark,2018,80.9536585365854
|
| 273 |
+
DNK,Denmark,2019,81.4512195121951
|
| 274 |
+
DNK,Denmark,2020,81.5512195121951
|
| 275 |
+
DOM,Dominican Republic,2016,72.987
|
| 276 |
+
DOM,Dominican Republic,2017,73.063
|
| 277 |
+
DOM,Dominican Republic,2018,73.232
|
| 278 |
+
DOM,Dominican Republic,2019,73.577
|
| 279 |
+
DOM,Dominican Republic,2020,72.889
|
| 280 |
+
DZA,Algeria,2016,75.732
|
| 281 |
+
DZA,Algeria,2017,75.743
|
| 282 |
+
DZA,Algeria,2018,76.066
|
| 283 |
+
DZA,Algeria,2019,76.474
|
| 284 |
+
DZA,Algeria,2020,74.453
|
| 285 |
+
EAP,East Asia & Pacific (excluding high income),2016,75.3221268468603
|
| 286 |
+
EAP,East Asia & Pacific (excluding high income),2017,75.386163388724
|
| 287 |
+
EAP,East Asia & Pacific (excluding high income),2018,75.8016818753815
|
| 288 |
+
EAP,East Asia & Pacific (excluding high income),2019,76.0022593223187
|
| 289 |
+
EAP,East Asia & Pacific (excluding high income),2020,75.9362494445958
|
| 290 |
+
EAR,Early-demographic dividend,2016,70.2198833618588
|
| 291 |
+
EAR,Early-demographic dividend,2017,70.5420565547556
|
| 292 |
+
EAR,Early-demographic dividend,2018,70.7977056572048
|
| 293 |
+
EAR,Early-demographic dividend,2019,71.0165829551575
|
| 294 |
+
EAR,Early-demographic dividend,2020,70.0301281204141
|
| 295 |
+
EAS,East Asia & Pacific,2016,76.1381488981134
|
| 296 |
+
EAS,East Asia & Pacific,2017,76.212291215835
|
| 297 |
+
EAS,East Asia & Pacific,2018,76.5947948566119
|
| 298 |
+
EAS,East Asia & Pacific,2019,76.7970078679726
|
| 299 |
+
EAS,East Asia & Pacific,2020,76.7626813353234
|
| 300 |
+
ECA,Europe & Central Asia (excluding high income),2016,72.8986354044628
|
| 301 |
+
ECA,Europe & Central Asia (excluding high income),2017,73.4079161270396
|
| 302 |
+
ECA,Europe & Central Asia (excluding high income),2018,73.609526510201
|
| 303 |
+
ECA,Europe & Central Asia (excluding high income),2019,73.9038168042535
|
| 304 |
+
ECA,Europe & Central Asia (excluding high income),2020,72.2596184664053
|
| 305 |
+
ECS,Europe & Central Asia,2016,77.5651496181553
|
| 306 |
+
ECS,Europe & Central Asia,2017,77.7786266109075
|
| 307 |
+
ECS,Europe & Central Asia,2018,77.9114517370265
|
| 308 |
+
ECS,Europe & Central Asia,2019,78.1717263005861
|
| 309 |
+
ECS,Europe & Central Asia,2020,77.0253239943765
|
| 310 |
+
ECU,Ecuador,2016,76.763
|
| 311 |
+
ECU,Ecuador,2017,76.972
|
| 312 |
+
ECU,Ecuador,2018,77.094
|
| 313 |
+
ECU,Ecuador,2019,77.297
|
| 314 |
+
ECU,Ecuador,2020,72.153
|
| 315 |
+
EGY,"Egypt, Arab Rep.",2016,70.844
|
| 316 |
+
EGY,"Egypt, Arab Rep.",2017,71.302
|
| 317 |
+
EGY,"Egypt, Arab Rep.",2018,71.367
|
| 318 |
+
EGY,"Egypt, Arab Rep.",2019,71.358
|
| 319 |
+
EGY,"Egypt, Arab Rep.",2020,70.99
|
| 320 |
+
EMU,Euro area,2016,81.9563383126483
|
| 321 |
+
EMU,Euro area,2017,81.934533072359
|
| 322 |
+
EMU,Euro area,2018,82.0515528107846
|
| 323 |
+
EMU,Euro area,2019,82.3277560167223
|
| 324 |
+
EMU,Euro area,2020,81.537121911795
|
| 325 |
+
ERI,Eritrea,2016,66.289
|
| 326 |
+
ERI,Eritrea,2017,66.577
|
| 327 |
+
ERI,Eritrea,2018,67.067
|
| 328 |
+
ERI,Eritrea,2019,67.3
|
| 329 |
+
ERI,Eritrea,2020,67.133
|
| 330 |
+
ESP,Spain,2016,83.3292682926829
|
| 331 |
+
ESP,Spain,2017,83.2829268292683
|
| 332 |
+
ESP,Spain,2018,83.4317073170732
|
| 333 |
+
ESP,Spain,2019,83.8317073170732
|
| 334 |
+
ESP,Spain,2020,82.3341463414634
|
| 335 |
+
EST,Estonia,2016,77.6414634146342
|
| 336 |
+
EST,Estonia,2017,78.0926829268293
|
| 337 |
+
EST,Estonia,2018,78.2439024390244
|
| 338 |
+
EST,Estonia,2019,78.6463414634147
|
| 339 |
+
EST,Estonia,2020,78.3463414634146
|
| 340 |
+
ETH,Ethiopia,2016,64.392
|
| 341 |
+
ETH,Ethiopia,2017,64.838
|
| 342 |
+
ETH,Ethiopia,2018,65.412
|
| 343 |
+
ETH,Ethiopia,2019,65.838
|
| 344 |
+
ETH,Ethiopia,2020,65.371
|
| 345 |
+
EUU,European Union,2016,80.9512974807301
|
| 346 |
+
EUU,European Union,2017,80.9325986173981
|
| 347 |
+
EUU,European Union,2018,81.0287289990803
|
| 348 |
+
EUU,European Union,2019,81.3148579639404
|
| 349 |
+
EUU,European Union,2020,80.465036669156
|
| 350 |
+
FCS,Fragile and conflict affected situations,2016,61.28976699597
|
| 351 |
+
FCS,Fragile and conflict affected situations,2017,61.6542512200114
|
| 352 |
+
FCS,Fragile and conflict affected situations,2018,61.9691504434632
|
| 353 |
+
FCS,Fragile and conflict affected situations,2019,62.2667485467822
|
| 354 |
+
FCS,Fragile and conflict affected situations,2020,61.7595609879609
|
| 355 |
+
FIN,Finland,2016,81.4292682926829
|
| 356 |
+
FIN,Finland,2017,81.6317073170732
|
| 357 |
+
FIN,Finland,2018,81.7341463414634
|
| 358 |
+
FIN,Finland,2019,81.9829268292683
|
| 359 |
+
FIN,Finland,2020,82.1317073170732
|
| 360 |
+
FJI,Fiji,2016,67.24
|
| 361 |
+
FJI,Fiji,2017,67.79
|
| 362 |
+
FJI,Fiji,2018,67.81
|
| 363 |
+
FJI,Fiji,2019,67.893
|
| 364 |
+
FJI,Fiji,2020,67.924
|
| 365 |
+
FRA,France,2016,82.5731707317073
|
| 366 |
+
FRA,France,2017,82.5756097560976
|
| 367 |
+
FRA,France,2018,82.6756097560976
|
| 368 |
+
FRA,France,2019,82.8268292682927
|
| 369 |
+
FRA,France,2020,82.1756097560976
|
| 370 |
+
FRO,Faroe Islands,2016,82.0926829268293
|
| 371 |
+
FRO,Faroe Islands,2017,82.2926829268293
|
| 372 |
+
FRO,Faroe Islands,2018,82.5439024390244
|
| 373 |
+
FRO,Faroe Islands,2019,82.7926829268293
|
| 374 |
+
FRO,Faroe Islands,2020,83.0926829268293
|
| 375 |
+
FSM,"Micronesia, Fed. Sts.",2016,71.595
|
| 376 |
+
FSM,"Micronesia, Fed. Sts.",2017,71.467
|
| 377 |
+
FSM,"Micronesia, Fed. Sts.",2018,71.318
|
| 378 |
+
FSM,"Micronesia, Fed. Sts.",2019,71.077
|
| 379 |
+
FSM,"Micronesia, Fed. Sts.",2020,70.674
|
| 380 |
+
GAB,Gabon,2016,65.802
|
| 381 |
+
GAB,Gabon,2017,66.189
|
| 382 |
+
GAB,Gabon,2018,66.306
|
| 383 |
+
GAB,Gabon,2019,66.603
|
| 384 |
+
GAB,Gabon,2020,66.531
|
| 385 |
+
GBR,United Kingdom,2016,81.1560975609756
|
| 386 |
+
GBR,United Kingdom,2017,81.2560975609756
|
| 387 |
+
GBR,United Kingdom,2018,81.2560975609756
|
| 388 |
+
GBR,United Kingdom,2019,81.2048780487805
|
| 389 |
+
GBR,United Kingdom,2020,80.9024390243903
|
| 390 |
+
GEO,Georgia,2016,73.569
|
| 391 |
+
GEO,Georgia,2017,73.57
|
| 392 |
+
GEO,Georgia,2018,73.341
|
| 393 |
+
GEO,Georgia,2019,73.47
|
| 394 |
+
GEO,Georgia,2020,72.765
|
| 395 |
+
GHA,Ghana,2016,63.89
|
| 396 |
+
GHA,Ghana,2017,64.013
|
| 397 |
+
GHA,Ghana,2018,64.122
|
| 398 |
+
GHA,Ghana,2019,64.74
|
| 399 |
+
GHA,Ghana,2020,64.114
|
| 400 |
+
GIB,Gibraltar,2016,81.702
|
| 401 |
+
GIB,Gibraltar,2017,81.83
|
| 402 |
+
GIB,Gibraltar,2018,82.154
|
| 403 |
+
GIB,Gibraltar,2019,82.363
|
| 404 |
+
GIB,Gibraltar,2020,82.198
|
| 405 |
+
GIN,Guinea,2016,58.763
|
| 406 |
+
GIN,Guinea,2017,59.109
|
| 407 |
+
GIN,Guinea,2018,59.349
|
| 408 |
+
GIN,Guinea,2019,59.72
|
| 409 |
+
GIN,Guinea,2020,59.327
|
| 410 |
+
GMB,"Gambia, The",2016,63.013
|
| 411 |
+
GMB,"Gambia, The",2017,62.995
|
| 412 |
+
GMB,"Gambia, The",2018,63.04
|
| 413 |
+
GMB,"Gambia, The",2019,63.755
|
| 414 |
+
GMB,"Gambia, The",2020,62.612
|
| 415 |
+
GNB,Guinea-Bissau,2016,59.674
|
| 416 |
+
GNB,Guinea-Bissau,2017,60.066
|
| 417 |
+
GNB,Guinea-Bissau,2018,60.502
|
| 418 |
+
GNB,Guinea-Bissau,2019,60.882
|
| 419 |
+
GNB,Guinea-Bissau,2020,59.999
|
| 420 |
+
GNQ,Equatorial Guinea,2016,60.479
|
| 421 |
+
GNQ,Equatorial Guinea,2017,60.821
|
| 422 |
+
GNQ,Equatorial Guinea,2018,61.191
|
| 423 |
+
GNQ,Equatorial Guinea,2019,61.644
|
| 424 |
+
GNQ,Equatorial Guinea,2020,60.708
|
| 425 |
+
GRC,Greece,2016,81.3878048780488
|
| 426 |
+
GRC,Greece,2017,81.2878048780488
|
| 427 |
+
GRC,Greece,2018,81.7878048780488
|
| 428 |
+
GRC,Greece,2019,81.6390243902439
|
| 429 |
+
GRC,Greece,2020,81.0878048780488
|
| 430 |
+
GRD,Grenada,2016,74.762
|
| 431 |
+
GRD,Grenada,2017,74.765
|
| 432 |
+
GRD,Grenada,2018,74.808
|
| 433 |
+
GRD,Grenada,2019,74.863
|
| 434 |
+
GRD,Grenada,2020,74.924
|
| 435 |
+
GRL,Greenland,2016,71.8251219512195
|
| 436 |
+
GRL,Greenland,2017,71.579756097561
|
| 437 |
+
GRL,Greenland,2018,71.8865853658537
|
| 438 |
+
GRL,Greenland,2019,72.0475609756098
|
| 439 |
+
GRL,Greenland,2020,71.4046341463415
|
| 440 |
+
GTM,Guatemala,2016,72.355
|
| 441 |
+
GTM,Guatemala,2017,72.551
|
| 442 |
+
GTM,Guatemala,2018,72.726
|
| 443 |
+
GTM,Guatemala,2019,73.129
|
| 444 |
+
GTM,Guatemala,2020,71.797
|
| 445 |
+
GUM,Guam,2016,76.877
|
| 446 |
+
GUM,Guam,2017,77.155
|
| 447 |
+
GUM,Guam,2018,77.439
|
| 448 |
+
GUM,Guam,2019,77.717
|
| 449 |
+
GUM,Guam,2020,76.612
|
| 450 |
+
GUY,Guyana,2016,68.384
|
| 451 |
+
GUY,Guyana,2017,68.667
|
| 452 |
+
GUY,Guyana,2018,68.896
|
| 453 |
+
GUY,Guyana,2019,69.124
|
| 454 |
+
GUY,Guyana,2020,68.486
|
| 455 |
+
HIC,High income,2016,80.6498124448056
|
| 456 |
+
HIC,High income,2017,80.6916378375099
|
| 457 |
+
HIC,High income,2018,80.784163405657
|
| 458 |
+
HIC,High income,2019,80.9744004188289
|
| 459 |
+
HIC,High income,2020,80.2084048652925
|
| 460 |
+
HKG,"Hong Kong SAR, China",2016,84.2268292682927
|
| 461 |
+
HKG,"Hong Kong SAR, China",2017,84.6804878048781
|
| 462 |
+
HKG,"Hong Kong SAR, China",2018,84.9341463414634
|
| 463 |
+
HKG,"Hong Kong SAR, China",2019,85.0780487804878
|
| 464 |
+
HKG,"Hong Kong SAR, China",2020,85.3878048780488
|
| 465 |
+
HND,Honduras,2016,72.588
|
| 466 |
+
HND,Honduras,2017,72.692
|
| 467 |
+
HND,Honduras,2018,72.814
|
| 468 |
+
HND,Honduras,2019,72.881
|
| 469 |
+
HND,Honduras,2020,71.462
|
| 470 |
+
HPC,Heavily indebted poor countries (HIPC),2016,62.1619619402239
|
| 471 |
+
HPC,Heavily indebted poor countries (HIPC),2017,62.5497604688077
|
| 472 |
+
HPC,Heavily indebted poor countries (HIPC),2018,62.9475759474084
|
| 473 |
+
HPC,Heavily indebted poor countries (HIPC),2019,63.3380569471644
|
| 474 |
+
HPC,Heavily indebted poor countries (HIPC),2020,62.7617201814617
|
| 475 |
+
HRV,Croatia,2016,78.0219512195122
|
| 476 |
+
HRV,Croatia,2017,77.8268292682927
|
| 477 |
+
HRV,Croatia,2018,78.0707317073171
|
| 478 |
+
HRV,Croatia,2019,78.4243902439025
|
| 479 |
+
HRV,Croatia,2020,77.7243902439024
|
| 480 |
+
HTI,Haiti,2016,63.392
|
| 481 |
+
HTI,Haiti,2017,63.854
|
| 482 |
+
HTI,Haiti,2018,64.019
|
| 483 |
+
HTI,Haiti,2019,64.255
|
| 484 |
+
HTI,Haiti,2020,64.052
|
| 485 |
+
HUN,Hungary,2016,76.0634146341464
|
| 486 |
+
HUN,Hungary,2017,75.8170731707317
|
| 487 |
+
HUN,Hungary,2018,76.0658536585366
|
| 488 |
+
HUN,Hungary,2019,76.3195121951219
|
| 489 |
+
HUN,Hungary,2020,75.6170731707317
|
| 490 |
+
IBD,IBRD only,2016,73.4271860837038
|
| 491 |
+
IBD,IBRD only,2017,73.6491751204839
|
| 492 |
+
IBD,IBRD only,2018,73.9419213670999
|
| 493 |
+
IBD,IBRD only,2019,74.1382919719167
|
| 494 |
+
IBD,IBRD only,2020,73.3979357648895
|
| 495 |
+
IBT,IDA & IBRD total,2016,70.8064958177654
|
| 496 |
+
IBT,IDA & IBRD total,2017,71.0440381580209
|
| 497 |
+
IBT,IDA & IBRD total,2018,71.3224951514244
|
| 498 |
+
IBT,IDA & IBRD total,2019,71.5260022309536
|
| 499 |
+
IBT,IDA & IBRD total,2020,70.8255067290586
|
| 500 |
+
IDA,IDA total,2016,63.003625202242
|
| 501 |
+
IDA,IDA total,2017,63.385653426184
|
| 502 |
+
IDA,IDA total,2018,63.7267467654081
|
| 503 |
+
IDA,IDA total,2019,64.0609363043871
|
| 504 |
+
IDA,IDA total,2020,63.5890406286563
|
| 505 |
+
IDB,IDA blend,2016,60.5623624016856
|
| 506 |
+
IDB,IDA blend,2017,60.8762641732765
|
| 507 |
+
IDB,IDA blend,2018,61.0757344659641
|
| 508 |
+
IDB,IDA blend,2019,61.3300653197501
|
| 509 |
+
IDB,IDA blend,2020,61.0047255204556
|
| 510 |
+
IDN,Indonesia,2016,69.798
|
| 511 |
+
IDN,Indonesia,2017,69.936
|
| 512 |
+
IDN,Indonesia,2018,70.338
|
| 513 |
+
IDN,Indonesia,2019,70.518
|
| 514 |
+
IDN,Indonesia,2020,68.808
|
| 515 |
+
IDX,IDA only,2016,64.2504890203831
|
| 516 |
+
IDX,IDA only,2017,64.6624471996816
|
| 517 |
+
IDX,IDA only,2018,65.0713750065892
|
| 518 |
+
IDX,IDA only,2019,65.4415624275737
|
| 519 |
+
IDX,IDA only,2020,64.8918250280166
|
| 520 |
+
IMN,Isle of Man,2016,80.314
|
| 521 |
+
IMN,Isle of Man,2017,80.457
|
| 522 |
+
IMN,Isle of Man,2018,80.596
|
| 523 |
+
IMN,Isle of Man,2019,80.737
|
| 524 |
+
IMN,Isle of Man,2020,80.588
|
| 525 |
+
IND,India,2016,70.117
|
| 526 |
+
IND,India,2017,70.467
|
| 527 |
+
IND,India,2018,70.71
|
| 528 |
+
IND,India,2019,70.91
|
| 529 |
+
IND,India,2020,70.15
|
| 530 |
+
IRL,Ireland,2016,81.6536585365854
|
| 531 |
+
IRL,Ireland,2017,82.1560975609756
|
| 532 |
+
IRL,Ireland,2018,82.2048780487805
|
| 533 |
+
IRL,Ireland,2019,82.7024390243903
|
| 534 |
+
IRL,Ireland,2020,82.2048780487805
|
| 535 |
+
IRN,"Iran, Islamic Rep.",2016,75.6
|
| 536 |
+
IRN,"Iran, Islamic Rep.",2017,75.971
|
| 537 |
+
IRN,"Iran, Islamic Rep.",2018,76.195
|
| 538 |
+
IRN,"Iran, Islamic Rep.",2019,76.103
|
| 539 |
+
IRN,"Iran, Islamic Rep.",2020,74.832
|
| 540 |
+
IRQ,Iraq,2016,68.988
|
| 541 |
+
IRQ,Iraq,2017,70.413
|
| 542 |
+
IRQ,Iraq,2018,71.514
|
| 543 |
+
IRQ,Iraq,2019,71.576
|
| 544 |
+
IRQ,Iraq,2020,69.123
|
| 545 |
+
ISL,Iceland,2016,82.2048780487805
|
| 546 |
+
ISL,Iceland,2017,82.6609756097561
|
| 547 |
+
ISL,Iceland,2018,82.8609756097561
|
| 548 |
+
ISL,Iceland,2019,83.1634146341463
|
| 549 |
+
ISL,Iceland,2020,83.0658536585366
|
| 550 |
+
ISR,Israel,2016,82.4073170731707
|
| 551 |
+
ISR,Israel,2017,82.5512195121951
|
| 552 |
+
ISR,Israel,2018,82.8024390243903
|
| 553 |
+
ISR,Israel,2019,82.8048780487805
|
| 554 |
+
ISR,Israel,2020,82.7
|
| 555 |
+
ITA,Italy,2016,83.2439024390244
|
| 556 |
+
ITA,Italy,2017,82.9463414634147
|
| 557 |
+
ITA,Italy,2018,83.3463414634146
|
| 558 |
+
ITA,Italy,2019,83.4975609756098
|
| 559 |
+
ITA,Italy,2020,82.3439024390244
|
| 560 |
+
JAM,Jamaica,2016,72.02
|
| 561 |
+
JAM,Jamaica,2017,71.911
|
| 562 |
+
JAM,Jamaica,2018,71.793
|
| 563 |
+
JAM,Jamaica,2019,71.767
|
| 564 |
+
JAM,Jamaica,2020,71.869
|
| 565 |
+
JOR,Jordan,2016,75.215
|
| 566 |
+
JOR,Jordan,2017,75.502
|
| 567 |
+
JOR,Jordan,2018,75.774
|
| 568 |
+
JOR,Jordan,2019,76.044
|
| 569 |
+
JOR,Jordan,2020,75.184
|
| 570 |
+
JPN,Japan,2016,83.9848780487805
|
| 571 |
+
JPN,Japan,2017,84.099756097561
|
| 572 |
+
JPN,Japan,2018,84.2109756097561
|
| 573 |
+
JPN,Japan,2019,84.3563414634146
|
| 574 |
+
JPN,Japan,2020,84.6156097560976
|
| 575 |
+
KAZ,Kazakhstan,2016,72.41
|
| 576 |
+
KAZ,Kazakhstan,2017,72.95
|
| 577 |
+
KAZ,Kazakhstan,2018,73.15
|
| 578 |
+
KAZ,Kazakhstan,2019,73.18
|
| 579 |
+
KAZ,Kazakhstan,2020,71.37
|
| 580 |
+
KEN,Kenya,2016,62.163
|
| 581 |
+
KEN,Kenya,2017,62.481
|
| 582 |
+
KEN,Kenya,2018,62.676
|
| 583 |
+
KEN,Kenya,2019,62.943
|
| 584 |
+
KEN,Kenya,2020,62.675
|
| 585 |
+
KGZ,Kyrgyz Republic,2016,70.9512195121951
|
| 586 |
+
KGZ,Kyrgyz Republic,2017,71.2
|
| 587 |
+
KGZ,Kyrgyz Republic,2018,71.4
|
| 588 |
+
KGZ,Kyrgyz Republic,2019,71.6
|
| 589 |
+
KGZ,Kyrgyz Republic,2020,71.8
|
| 590 |
+
KHM,Cambodia,2016,70.224
|
| 591 |
+
KHM,Cambodia,2017,70.515
|
| 592 |
+
KHM,Cambodia,2018,70.561
|
| 593 |
+
KHM,Cambodia,2019,70.692
|
| 594 |
+
KHM,Cambodia,2020,70.416
|
| 595 |
+
KIR,Kiribati,2016,66.332
|
| 596 |
+
KIR,Kiribati,2017,66.597
|
| 597 |
+
KIR,Kiribati,2018,66.855
|
| 598 |
+
KIR,Kiribati,2019,67.15
|
| 599 |
+
KIR,Kiribati,2020,67.266
|
| 600 |
+
KOR,"Korea, Rep.",2016,82.2756097560976
|
| 601 |
+
KOR,"Korea, Rep.",2017,82.6268292682927
|
| 602 |
+
KOR,"Korea, Rep.",2018,82.6268292682927
|
| 603 |
+
KOR,"Korea, Rep.",2019,83.2268292682927
|
| 604 |
+
KOR,"Korea, Rep.",2020,83.4268292682927
|
| 605 |
+
KWT,Kuwait,2016,79.701
|
| 606 |
+
KWT,Kuwait,2017,79.781
|
| 607 |
+
KWT,Kuwait,2018,79.722
|
| 608 |
+
KWT,Kuwait,2019,79.685
|
| 609 |
+
KWT,Kuwait,2020,76.92
|
| 610 |
+
LAC,Latin America & Caribbean (excluding high income),2016,74.4641124497848
|
| 611 |
+
LAC,Latin America & Caribbean (excluding high income),2017,74.6357134745378
|
| 612 |
+
LAC,Latin America & Caribbean (excluding high income),2018,74.764131298142
|
| 613 |
+
LAC,Latin America & Caribbean (excluding high income),2019,74.9541760346303
|
| 614 |
+
LAC,Latin America & Caribbean (excluding high income),2020,72.8303132346882
|
| 615 |
+
LAO,Lao PDR,2016,67.167
|
| 616 |
+
LAO,Lao PDR,2017,67.434
|
| 617 |
+
LAO,Lao PDR,2018,67.634
|
| 618 |
+
LAO,Lao PDR,2019,68.138
|
| 619 |
+
LAO,Lao PDR,2020,68.497
|
| 620 |
+
LBN,Lebanon,2016,79.505
|
| 621 |
+
LBN,Lebanon,2017,79.654
|
| 622 |
+
LBN,Lebanon,2018,79.729
|
| 623 |
+
LBN,Lebanon,2019,79.236
|
| 624 |
+
LBN,Lebanon,2020,77.804
|
| 625 |
+
LBR,Liberia,2016,60.416
|
| 626 |
+
LBR,Liberia,2017,60.553
|
| 627 |
+
LBR,Liberia,2018,60.853
|
| 628 |
+
LBR,Liberia,2019,61.104
|
| 629 |
+
LBR,Liberia,2020,60.948
|
| 630 |
+
LBY,Libya,2016,71.756
|
| 631 |
+
LBY,Libya,2017,72.482
|
| 632 |
+
LBY,Libya,2018,72.794
|
| 633 |
+
LBY,Libya,2019,72.463
|
| 634 |
+
LBY,Libya,2020,72.472
|
| 635 |
+
LCA,St. Lucia,2016,73.112
|
| 636 |
+
LCA,St. Lucia,2017,73.127
|
| 637 |
+
LCA,St. Lucia,2018,73.357
|
| 638 |
+
LCA,St. Lucia,2019,73.445
|
| 639 |
+
LCA,St. Lucia,2020,73.416
|
| 640 |
+
LCN,Latin America & Caribbean,2016,74.5800541435534
|
| 641 |
+
LCN,Latin America & Caribbean,2017,74.734493753292
|
| 642 |
+
LCN,Latin America & Caribbean,2018,74.8518735371361
|
| 643 |
+
LCN,Latin America & Caribbean,2019,75.0387440456145
|
| 644 |
+
LCN,Latin America & Caribbean,2020,73.0384092692938
|
| 645 |
+
LDC,Least developed countries: UN classification,2016,64.0195864491196
|
| 646 |
+
LDC,Least developed countries: UN classification,2017,64.4144671749539
|
| 647 |
+
LDC,Least developed countries: UN classification,2018,64.8184998502238
|
| 648 |
+
LDC,Least developed countries: UN classification,2019,65.1555737455538
|
| 649 |
+
LDC,Least developed countries: UN classification,2020,64.6347427935938
|
| 650 |
+
LIC,Low income,2016,62.1372542781892
|
| 651 |
+
LIC,Low income,2017,62.5433140778462
|
| 652 |
+
LIC,Low income,2018,62.9083570404017
|
| 653 |
+
LIC,Low income,2019,63.3367923725828
|
| 654 |
+
LIC,Low income,2020,62.8704681172108
|
| 655 |
+
LIE,Liechtenstein,2016,82.2585365853659
|
| 656 |
+
LIE,Liechtenstein,2017,83.7463414634147
|
| 657 |
+
LIE,Liechtenstein,2018,83.0414634146342
|
| 658 |
+
LIE,Liechtenstein,2019,84.1609756097561
|
| 659 |
+
LIE,Liechtenstein,2020,81.8073170731707
|
| 660 |
+
LKA,Sri Lanka,2016,75.331
|
| 661 |
+
LKA,Sri Lanka,2017,75.403
|
| 662 |
+
LKA,Sri Lanka,2018,75.748
|
| 663 |
+
LKA,Sri Lanka,2019,76.008
|
| 664 |
+
LKA,Sri Lanka,2020,76.393
|
| 665 |
+
LMC,Lower middle income,2016,68.5564558759308
|
| 666 |
+
LMC,Lower middle income,2017,68.8624325798877
|
| 667 |
+
LMC,Lower middle income,2018,69.1132667179179
|
| 668 |
+
LMC,Lower middle income,2019,69.3074143319534
|
| 669 |
+
LMC,Lower middle income,2020,68.6352093572576
|
| 670 |
+
LMY,Low & middle income,2016,70.7259774145174
|
| 671 |
+
LMY,Low & middle income,2017,70.9679853843642
|
| 672 |
+
LMY,Low & middle income,2018,71.2517652875922
|
| 673 |
+
LMY,Low & middle income,2019,71.4552953916143
|
| 674 |
+
LMY,Low & middle income,2020,70.7661770667179
|
| 675 |
+
LSO,Lesotho,2016,52.264
|
| 676 |
+
LSO,Lesotho,2017,53.064
|
| 677 |
+
LSO,Lesotho,2018,53.733
|
| 678 |
+
LSO,Lesotho,2019,54.173
|
| 679 |
+
LSO,Lesotho,2020,54.693
|
| 680 |
+
LTE,Late-demographic dividend,2016,76.2581617138085
|
| 681 |
+
LTE,Late-demographic dividend,2017,76.4003640305615
|
| 682 |
+
LTE,Late-demographic dividend,2018,76.7706344019779
|
| 683 |
+
LTE,Late-demographic dividend,2019,76.9929067424732
|
| 684 |
+
LTE,Late-demographic dividend,2020,76.7250620203879
|
| 685 |
+
LTU,Lithuania,2016,74.6707317073171
|
| 686 |
+
LTU,Lithuania,2017,75.4804878048781
|
| 687 |
+
LTU,Lithuania,2018,75.6804878048781
|
| 688 |
+
LTU,Lithuania,2019,76.2829268292683
|
| 689 |
+
LTU,Lithuania,2020,74.9292682926829
|
| 690 |
+
LUX,Luxembourg,2016,82.6853658536585
|
| 691 |
+
LUX,Luxembourg,2017,82.0951219512195
|
| 692 |
+
LUX,Luxembourg,2018,82.2951219512195
|
| 693 |
+
LUX,Luxembourg,2019,82.6390243902439
|
| 694 |
+
LUX,Luxembourg,2020,81.7414634146342
|
| 695 |
+
LVA,Latvia,2016,74.580487804878
|
| 696 |
+
LVA,Latvia,2017,74.6292682926829
|
| 697 |
+
LVA,Latvia,2018,74.7829268292683
|
| 698 |
+
LVA,Latvia,2019,75.3878048780488
|
| 699 |
+
LVA,Latvia,2020,75.3878048780488
|
| 700 |
+
MAC,"Macao SAR, China",2016,84.231
|
| 701 |
+
MAC,"Macao SAR, China",2017,84.563
|
| 702 |
+
MAC,"Macao SAR, China",2018,84.928
|
| 703 |
+
MAC,"Macao SAR, China",2019,84.978
|
| 704 |
+
MAC,"Macao SAR, China",2020,85.184
|
| 705 |
+
MAF,St. Martin (French part),2016,79.475
|
| 706 |
+
MAF,St. Martin (French part),2017,78.59
|
| 707 |
+
MAF,St. Martin (French part),2018,80.614
|
| 708 |
+
MAF,St. Martin (French part),2019,79.983
|
| 709 |
+
MAF,St. Martin (French part),2020,80.149
|
| 710 |
+
MAR,Morocco,2016,73.284
|
| 711 |
+
MAR,Morocco,2017,73.66
|
| 712 |
+
MAR,Morocco,2018,73.986
|
| 713 |
+
MAR,Morocco,2019,74.27
|
| 714 |
+
MAR,Morocco,2020,73.92
|
| 715 |
+
MDA,Moldova,2016,69.917
|
| 716 |
+
MDA,Moldova,2017,70.516
|
| 717 |
+
MDA,Moldova,2018,70.492
|
| 718 |
+
MDA,Moldova,2019,70.935
|
| 719 |
+
MDA,Moldova,2020,70.166
|
| 720 |
+
MDG,Madagascar,2016,64.997
|
| 721 |
+
MDG,Madagascar,2017,65.094
|
| 722 |
+
MDG,Madagascar,2018,65.27
|
| 723 |
+
MDG,Madagascar,2019,65.882
|
| 724 |
+
MDG,Madagascar,2020,65.182
|
| 725 |
+
MDV,Maldives,2016,79.872
|
| 726 |
+
MDV,Maldives,2017,79.943
|
| 727 |
+
MDV,Maldives,2018,80.013
|
| 728 |
+
MDV,Maldives,2019,80.116
|
| 729 |
+
MDV,Maldives,2020,79.875
|
| 730 |
+
MEA,Middle East & North Africa,2016,73.1525218426913
|
| 731 |
+
MEA,Middle East & North Africa,2017,73.6097428540992
|
| 732 |
+
MEA,Middle East & North Africa,2018,73.8115171255443
|
| 733 |
+
MEA,Middle East & North Africa,2019,73.9591150111936
|
| 734 |
+
MEA,Middle East & North Africa,2020,72.9510790612141
|
| 735 |
+
MEX,Mexico,2016,74.412
|
| 736 |
+
MEX,Mexico,2017,74.138
|
| 737 |
+
MEX,Mexico,2018,74.015
|
| 738 |
+
MEX,Mexico,2019,74.202
|
| 739 |
+
MEX,Mexico,2020,70.133
|
| 740 |
+
MIC,Middle income,2016,71.6839098646916
|
| 741 |
+
MIC,Middle income,2017,71.9225502277337
|
| 742 |
+
MIC,Middle income,2018,72.2129663973087
|
| 743 |
+
MIC,Middle income,2019,72.4075251850446
|
| 744 |
+
MIC,Middle income,2020,71.7095062005603
|
| 745 |
+
MKD,North Macedonia,2016,75.4
|
| 746 |
+
MKD,North Macedonia,2017,75.9536585365854
|
| 747 |
+
MKD,North Macedonia,2018,76.6487804878049
|
| 748 |
+
MKD,North Macedonia,2019,76.6024390243903
|
| 749 |
+
MKD,North Macedonia,2020,75.6931707317073
|
| 750 |
+
MLI,Mali,2016,58.731
|
| 751 |
+
MLI,Mali,2017,59.132
|
| 752 |
+
MLI,Mali,2018,59.393
|
| 753 |
+
MLI,Mali,2019,59.664
|
| 754 |
+
MLI,Mali,2020,58.633
|
| 755 |
+
MLT,Malta,2016,82.4536585365854
|
| 756 |
+
MLT,Malta,2017,82.3463414634146
|
| 757 |
+
MLT,Malta,2018,82.4487804878049
|
| 758 |
+
MLT,Malta,2019,82.8585365853659
|
| 759 |
+
MLT,Malta,2020,82.6536585365854
|
| 760 |
+
MMR,Myanmar,2016,65.685
|
| 761 |
+
MMR,Myanmar,2017,65.843
|
| 762 |
+
MMR,Myanmar,2018,66.465
|
| 763 |
+
MMR,Myanmar,2019,66.61
|
| 764 |
+
MMR,Myanmar,2020,66.797
|
| 765 |
+
MNA,Middle East & North Africa (excluding high income),2016,72.2564883768439
|
| 766 |
+
MNA,Middle East & North Africa (excluding high income),2017,72.7670011397562
|
| 767 |
+
MNA,Middle East & North Africa (excluding high income),2018,72.9843734174748
|
| 768 |
+
MNA,Middle East & North Africa (excluding high income),2019,73.1439185925959
|
| 769 |
+
MNA,Middle East & North Africa (excluding high income),2020,72.1726969965726
|
| 770 |
+
MNE,Montenegro,2016,76.4414634146341
|
| 771 |
+
MNE,Montenegro,2017,76.4853658536585
|
| 772 |
+
MNE,Montenegro,2018,76.8414634146342
|
| 773 |
+
MNE,Montenegro,2019,76.6829268292683
|
| 774 |
+
MNE,Montenegro,2020,75.9317073170732
|
| 775 |
+
MNG,Mongolia,2016,69.865
|
| 776 |
+
MNG,Mongolia,2017,70.237
|
| 777 |
+
MNG,Mongolia,2018,71.199
|
| 778 |
+
MNG,Mongolia,2019,71.822
|
| 779 |
+
MNG,Mongolia,2020,72.141
|
| 780 |
+
MOZ,Mozambique,2016,59.038
|
| 781 |
+
MOZ,Mozambique,2017,59.771
|
| 782 |
+
MOZ,Mozambique,2018,60.526
|
| 783 |
+
MOZ,Mozambique,2019,61.166
|
| 784 |
+
MOZ,Mozambique,2020,61.172
|
| 785 |
+
MRT,Mauritania,2016,64.768
|
| 786 |
+
MRT,Mauritania,2017,65.083
|
| 787 |
+
MRT,Mauritania,2018,65.31
|
| 788 |
+
MRT,Mauritania,2019,65.687
|
| 789 |
+
MRT,Mauritania,2020,64.532
|
| 790 |
+
MUS,Mauritius,2016,74.3948780487805
|
| 791 |
+
MUS,Mauritius,2017,74.5146341463415
|
| 792 |
+
MUS,Mauritius,2018,74.4163414634146
|
| 793 |
+
MUS,Mauritius,2019,74.2358536585366
|
| 794 |
+
MUS,Mauritius,2020,74.1770731707317
|
| 795 |
+
MWI,Malawi,2016,62.209
|
| 796 |
+
MWI,Malawi,2017,62.977
|
| 797 |
+
MWI,Malawi,2018,63.276
|
| 798 |
+
MWI,Malawi,2019,64.119
|
| 799 |
+
MWI,Malawi,2020,63.717
|
| 800 |
+
MYS,Malaysia,2016,75.289
|
| 801 |
+
MYS,Malaysia,2017,75.476
|
| 802 |
+
MYS,Malaysia,2018,75.644
|
| 803 |
+
MYS,Malaysia,2019,75.76
|
| 804 |
+
MYS,Malaysia,2020,75.938
|
| 805 |
+
NAC,North America,2016,78.8773349028289
|
| 806 |
+
NAC,North America,2017,78.8790919678033
|
| 807 |
+
NAC,North America,2018,78.9867905089908
|
| 808 |
+
NAC,North America,2019,79.1233652827644
|
| 809 |
+
NAC,North America,2020,77.7411628196422
|
| 810 |
+
NAM,Namibia,2016,61.682
|
| 811 |
+
NAM,Namibia,2017,62.293
|
| 812 |
+
NAM,Namibia,2018,62.586
|
| 813 |
+
NAM,Namibia,2019,63.075
|
| 814 |
+
NAM,Namibia,2020,62.829
|
| 815 |
+
NCL,New Caledonia,2016,76.9317073170732
|
| 816 |
+
NCL,New Caledonia,2017,77.5390243902439
|
| 817 |
+
NCL,New Caledonia,2018,80.0030975609756
|
| 818 |
+
NCL,New Caledonia,2019,80.4197073170732
|
| 819 |
+
NCL,New Caledonia,2020,80.8349512195122
|
| 820 |
+
NER,Niger,2016,61.629
|
| 821 |
+
NER,Niger,2017,62.16
|
| 822 |
+
NER,Niger,2018,62.454
|
| 823 |
+
NER,Niger,2019,62.897
|
| 824 |
+
NER,Niger,2020,61.451
|
| 825 |
+
NGA,Nigeria,2016,52.043
|
| 826 |
+
NGA,Nigeria,2017,52.305
|
| 827 |
+
NGA,Nigeria,2018,52.554
|
| 828 |
+
NGA,Nigeria,2019,52.91
|
| 829 |
+
NGA,Nigeria,2020,52.887
|
| 830 |
+
NIC,Nicaragua,2016,73.256
|
| 831 |
+
NIC,Nicaragua,2017,73.554
|
| 832 |
+
NIC,Nicaragua,2018,73.85
|
| 833 |
+
NIC,Nicaragua,2019,74.054
|
| 834 |
+
NIC,Nicaragua,2020,71.795
|
| 835 |
+
NLD,Netherlands,2016,81.5609756097561
|
| 836 |
+
NLD,Netherlands,2017,81.7609756097561
|
| 837 |
+
NLD,Netherlands,2018,81.8121951219512
|
| 838 |
+
NLD,Netherlands,2019,82.1121951219512
|
| 839 |
+
NLD,Netherlands,2020,81.409756097561
|
| 840 |
+
NOR,Norway,2016,82.4073170731707
|
| 841 |
+
NOR,Norway,2017,82.609756097561
|
| 842 |
+
NOR,Norway,2018,82.7585365853659
|
| 843 |
+
NOR,Norway,2019,82.9585365853659
|
| 844 |
+
NOR,Norway,2020,83.209756097561
|
| 845 |
+
NPL,Nepal,2016,68.776
|
| 846 |
+
NPL,Nepal,2017,68.91
|
| 847 |
+
NPL,Nepal,2018,68.979
|
| 848 |
+
NPL,Nepal,2019,69.558
|
| 849 |
+
NPL,Nepal,2020,69.246
|
| 850 |
+
NZL,New Zealand,2016,81.6124390243903
|
| 851 |
+
NZL,New Zealand,2017,81.6585365853659
|
| 852 |
+
NZL,New Zealand,2018,81.8585365853659
|
| 853 |
+
NZL,New Zealand,2019,81.7073170731707
|
| 854 |
+
NZL,New Zealand,2020,82.0560975609756
|
| 855 |
+
OED,OECD members,2016,79.901821935727
|
| 856 |
+
OED,OECD members,2017,79.930762637575
|
| 857 |
+
OED,OECD members,2018,80.0151826093432
|
| 858 |
+
OED,OECD members,2019,80.2060305543363
|
| 859 |
+
OED,OECD members,2020,79.0085241095494
|
| 860 |
+
OMN,Oman,2016,77.916
|
| 861 |
+
OMN,Oman,2017,77.924
|
| 862 |
+
OMN,Oman,2018,77.966
|
| 863 |
+
OMN,Oman,2019,78.002
|
| 864 |
+
OMN,Oman,2020,74.757
|
| 865 |
+
OSS,Other small states,2016,67.9054900792517
|
| 866 |
+
OSS,Other small states,2017,68.3772071490802
|
| 867 |
+
OSS,Other small states,2018,68.4962409541162
|
| 868 |
+
OSS,Other small states,2019,68.771087639582
|
| 869 |
+
OSS,Other small states,2020,68.2501841188187
|
| 870 |
+
PAK,Pakistan,2016,65.88
|
| 871 |
+
PAK,Pakistan,2017,66.297
|
| 872 |
+
PAK,Pakistan,2018,66.482
|
| 873 |
+
PAK,Pakistan,2019,66.756
|
| 874 |
+
PAK,Pakistan,2020,66.269
|
| 875 |
+
PAN,Panama,2016,77.653
|
| 876 |
+
PAN,Panama,2017,77.795
|
| 877 |
+
PAN,Panama,2018,77.863
|
| 878 |
+
PAN,Panama,2019,77.81
|
| 879 |
+
PAN,Panama,2020,76.657
|
| 880 |
+
PER,Peru,2016,75.789
|
| 881 |
+
PER,Peru,2017,75.879
|
| 882 |
+
PER,Peru,2018,76.009
|
| 883 |
+
PER,Peru,2019,76.156
|
| 884 |
+
PER,Peru,2020,73.665
|
| 885 |
+
PHL,Philippines,2016,71.387
|
| 886 |
+
PHL,Philippines,2017,71.516
|
| 887 |
+
PHL,Philippines,2018,71.689
|
| 888 |
+
PHL,Philippines,2019,71.865
|
| 889 |
+
PHL,Philippines,2020,72.119
|
| 890 |
+
PNG,Papua New Guinea,2016,64.84
|
| 891 |
+
PNG,Papua New Guinea,2017,65.103
|
| 892 |
+
PNG,Papua New Guinea,2018,65.182
|
| 893 |
+
PNG,Papua New Guinea,2019,65.474
|
| 894 |
+
PNG,Papua New Guinea,2020,65.787
|
| 895 |
+
POL,Poland,2016,77.8512195121951
|
| 896 |
+
POL,Poland,2017,77.7536585365854
|
| 897 |
+
POL,Poland,2018,77.6024390243903
|
| 898 |
+
POL,Poland,2019,77.9048780487805
|
| 899 |
+
POL,Poland,2020,76.6
|
| 900 |
+
PRE,Pre-demographic dividend,2016,59.5239150627753
|
| 901 |
+
PRE,Pre-demographic dividend,2017,59.9506113469282
|
| 902 |
+
PRE,Pre-demographic dividend,2018,60.3548387754098
|
| 903 |
+
PRE,Pre-demographic dividend,2019,60.7216573709725
|
| 904 |
+
PRE,Pre-demographic dividend,2020,60.2495318388733
|
| 905 |
+
PRI,Puerto Rico,2016,80.27
|
| 906 |
+
PRI,Puerto Rico,2017,79.258
|
| 907 |
+
PRI,Puerto Rico,2018,79.77
|
| 908 |
+
PRI,Puerto Rico,2019,79.063
|
| 909 |
+
PRI,Puerto Rico,2020,78.041
|
| 910 |
+
PRK,"Korea, Dem. People's Rep.",2016,72.805
|
| 911 |
+
PRK,"Korea, Dem. People's Rep.",2017,72.978
|
| 912 |
+
PRK,"Korea, Dem. People's Rep.",2018,73.031
|
| 913 |
+
PRK,"Korea, Dem. People's Rep.",2019,73.198
|
| 914 |
+
PRK,"Korea, Dem. People's Rep.",2020,73.274
|
| 915 |
+
PRT,Portugal,2016,81.1243902439025
|
| 916 |
+
PRT,Portugal,2017,81.4243902439025
|
| 917 |
+
PRT,Portugal,2018,81.3243902439024
|
| 918 |
+
PRT,Portugal,2019,81.6756097560976
|
| 919 |
+
PRT,Portugal,2020,80.9756097560976
|
| 920 |
+
PRY,Paraguay,2016,73.534
|
| 921 |
+
PRY,Paraguay,2017,73.644
|
| 922 |
+
PRY,Paraguay,2018,73.568
|
| 923 |
+
PRY,Paraguay,2019,73.621
|
| 924 |
+
PRY,Paraguay,2020,73.182
|
| 925 |
+
PSE,West Bank and Gaza,2016,74.554
|
| 926 |
+
PSE,West Bank and Gaza,2017,74.833
|
| 927 |
+
PSE,West Bank and Gaza,2018,74.793
|
| 928 |
+
PSE,West Bank and Gaza,2019,75.241
|
| 929 |
+
PSE,West Bank and Gaza,2020,74.403
|
| 930 |
+
PSS,Pacific island small states,2016,68.9538062827489
|
| 931 |
+
PSS,Pacific island small states,2017,69.2436487090441
|
| 932 |
+
PSS,Pacific island small states,2018,69.3320843402347
|
| 933 |
+
PSS,Pacific island small states,2019,69.405544151166
|
| 934 |
+
PSS,Pacific island small states,2020,69.4706100655444
|
| 935 |
+
PST,Post-demographic dividend,2016,80.5384973418137
|
| 936 |
+
PST,Post-demographic dividend,2017,80.5850349461617
|
| 937 |
+
PST,Post-demographic dividend,2018,80.6786355895634
|
| 938 |
+
PST,Post-demographic dividend,2019,80.8787464030195
|
| 939 |
+
PST,Post-demographic dividend,2020,80.1474817225743
|
| 940 |
+
PYF,French Polynesia,2016,82.488
|
| 941 |
+
PYF,French Polynesia,2017,82.618
|
| 942 |
+
PYF,French Polynesia,2018,82.783
|
| 943 |
+
PYF,French Polynesia,2019,82.996
|
| 944 |
+
PYF,French Polynesia,2020,82.217
|
| 945 |
+
QAT,Qatar,2016,80.433
|
| 946 |
+
QAT,Qatar,2017,80.717
|
| 947 |
+
QAT,Qatar,2018,80.898
|
| 948 |
+
QAT,Qatar,2019,80.99
|
| 949 |
+
QAT,Qatar,2020,79.099
|
| 950 |
+
ROU,Romania,2016,75.209756097561
|
| 951 |
+
ROU,Romania,2017,75.309756097561
|
| 952 |
+
ROU,Romania,2018,75.3585365853659
|
| 953 |
+
ROU,Romania,2019,75.6073170731707
|
| 954 |
+
ROU,Romania,2020,74.3536585365854
|
| 955 |
+
RUS,Russian Federation,2016,71.6512195121951
|
| 956 |
+
RUS,Russian Federation,2017,72.4514634146342
|
| 957 |
+
RUS,Russian Federation,2018,72.6621951219512
|
| 958 |
+
RUS,Russian Federation,2019,73.0839024390244
|
| 959 |
+
RUS,Russian Federation,2020,71.3387804878049
|
| 960 |
+
RWA,Rwanda,2016,65.737
|
| 961 |
+
RWA,Rwanda,2017,65.941
|
| 962 |
+
RWA,Rwanda,2018,66.251
|
| 963 |
+
RWA,Rwanda,2019,66.437
|
| 964 |
+
RWA,Rwanda,2020,66.774
|
| 965 |
+
SAS,South Asia,2016,69.6088639890302
|
| 966 |
+
SAS,South Asia,2017,69.9791020756437
|
| 967 |
+
SAS,South Asia,2018,70.2534786113924
|
| 968 |
+
SAS,South Asia,2019,70.4727549740685
|
| 969 |
+
SAS,South Asia,2020,69.7483309161325
|
| 970 |
+
SAU,Saudi Arabia,2016,77.064
|
| 971 |
+
SAU,Saudi Arabia,2017,77.16
|
| 972 |
+
SAU,Saudi Arabia,2018,77.212
|
| 973 |
+
SAU,Saudi Arabia,2019,77.304
|
| 974 |
+
SAU,Saudi Arabia,2020,76.239
|
| 975 |
+
SDN,Sudan,2016,64.78
|
| 976 |
+
SDN,Sudan,2017,65.445
|
| 977 |
+
SDN,Sudan,2018,65.681
|
| 978 |
+
SDN,Sudan,2019,65.876
|
| 979 |
+
SDN,Sudan,2020,65.614
|
| 980 |
+
SEN,Senegal,2016,67.497
|
| 981 |
+
SEN,Senegal,2017,67.75
|
| 982 |
+
SEN,Senegal,2018,68.097
|
| 983 |
+
SEN,Senegal,2019,68.526
|
| 984 |
+
SEN,Senegal,2020,68.006
|
| 985 |
+
SGP,Singapore,2016,82.8463414634146
|
| 986 |
+
SGP,Singapore,2017,83.0951219512195
|
| 987 |
+
SGP,Singapore,2018,83.2975609756098
|
| 988 |
+
SGP,Singapore,2019,83.5951219512195
|
| 989 |
+
SGP,Singapore,2020,83.7439024390244
|
| 990 |
+
SLB,Solomon Islands,2016,69.801
|
| 991 |
+
SLB,Solomon Islands,2017,69.988
|
| 992 |
+
SLB,Solomon Islands,2018,70.173
|
| 993 |
+
SLB,Solomon Islands,2019,70.382
|
| 994 |
+
SLB,Solomon Islands,2020,70.199
|
| 995 |
+
SLE,Sierra Leone,2016,58.404
|
| 996 |
+
SLE,Sierra Leone,2017,58.652
|
| 997 |
+
SLE,Sierra Leone,2018,59.796
|
| 998 |
+
SLE,Sierra Leone,2019,60.255
|
| 999 |
+
SLE,Sierra Leone,2020,59.763
|
| 1000 |
+
SLV,El Salvador,2016,72.025
|
| 1001 |
+
SLV,El Salvador,2017,72.311
|
| 1002 |
+
SLV,El Salvador,2018,72.555
|
| 1003 |
+
SLV,El Salvador,2019,72.559
|
| 1004 |
+
SLV,El Salvador,2020,71.061
|
| 1005 |
+
SOM,Somalia,2016,55.044
|
| 1006 |
+
SOM,Somalia,2017,55.654
|
| 1007 |
+
SOM,Somalia,2018,56.375
|
| 1008 |
+
SOM,Somalia,2019,57.078
|
| 1009 |
+
SOM,Somalia,2020,55.967
|
| 1010 |
+
SRB,Serbia,2016,75.6878048780488
|
| 1011 |
+
SRB,Serbia,2017,75.5390243902439
|
| 1012 |
+
SRB,Serbia,2018,75.890243902439
|
| 1013 |
+
SRB,Serbia,2019,75.9365853658537
|
| 1014 |
+
SRB,Serbia,2020,74.2292682926829
|
| 1015 |
+
SSA,Sub-Saharan Africa (excluding high income),2016,60.0677195424725
|
| 1016 |
+
SSA,Sub-Saharan Africa (excluding high income),2017,60.4758894589022
|
| 1017 |
+
SSA,Sub-Saharan Africa (excluding high income),2018,60.8619630294756
|
| 1018 |
+
SSA,Sub-Saharan Africa (excluding high income),2019,61.2431728956442
|
| 1019 |
+
SSA,Sub-Saharan Africa (excluding high income),2020,60.8474896190048
|
| 1020 |
+
SSD,South Sudan,2016,55.544
|
| 1021 |
+
SSD,South Sudan,2017,55.309
|
| 1022 |
+
SSD,South Sudan,2018,55.95
|
| 1023 |
+
SSD,South Sudan,2019,55.912
|
| 1024 |
+
SSD,South Sudan,2020,55.48
|
| 1025 |
+
SSF,Sub-Saharan Africa,2016,60.0690208848049
|
| 1026 |
+
SSF,Sub-Saharan Africa,2017,60.4771348418398
|
| 1027 |
+
SSF,Sub-Saharan Africa,2018,60.8630241394089
|
| 1028 |
+
SSF,Sub-Saharan Africa,2019,61.2442873450193
|
| 1029 |
+
SSF,Sub-Saharan Africa,2020,60.8488912524736
|
| 1030 |
+
SST,Small states,2016,68.8093375695579
|
| 1031 |
+
SST,Small states,2017,69.1878151706305
|
| 1032 |
+
SST,Small states,2018,69.2659910396684
|
| 1033 |
+
SST,Small states,2019,69.4645582915971
|
| 1034 |
+
SST,Small states,2020,69.0736465242542
|
| 1035 |
+
STP,Sao Tome and Principe,2016,67.492
|
| 1036 |
+
STP,Sao Tome and Principe,2017,68.267
|
| 1037 |
+
STP,Sao Tome and Principe,2018,68.355
|
| 1038 |
+
STP,Sao Tome and Principe,2019,68.523
|
| 1039 |
+
STP,Sao Tome and Principe,2020,67.785
|
| 1040 |
+
SUR,Suriname,2016,71.592
|
| 1041 |
+
SUR,Suriname,2017,72.417
|
| 1042 |
+
SUR,Suriname,2018,72.553
|
| 1043 |
+
SUR,Suriname,2019,72.242
|
| 1044 |
+
SUR,Suriname,2020,72.561
|
| 1045 |
+
SVK,Slovak Republic,2016,77.1658536585366
|
| 1046 |
+
SVK,Slovak Republic,2017,77.1658536585366
|
| 1047 |
+
SVK,Slovak Republic,2018,77.2658536585366
|
| 1048 |
+
SVK,Slovak Republic,2019,77.6658536585366
|
| 1049 |
+
SVK,Slovak Republic,2020,76.8658536585366
|
| 1050 |
+
SVN,Slovenia,2016,81.1756097560976
|
| 1051 |
+
SVN,Slovenia,2017,81.0292682926829
|
| 1052 |
+
SVN,Slovenia,2018,81.3780487804878
|
| 1053 |
+
SVN,Slovenia,2019,81.5292682926829
|
| 1054 |
+
SVN,Slovenia,2020,80.5317073170732
|
| 1055 |
+
SWE,Sweden,2016,82.3073170731707
|
| 1056 |
+
SWE,Sweden,2017,82.409756097561
|
| 1057 |
+
SWE,Sweden,2018,82.5585365853659
|
| 1058 |
+
SWE,Sweden,2019,83.109756097561
|
| 1059 |
+
SWE,Sweden,2020,82.4073170731707
|
| 1060 |
+
SWZ,Eswatini,2016,56.659
|
| 1061 |
+
SWZ,Eswatini,2017,57.895
|
| 1062 |
+
SWZ,Eswatini,2018,59.411
|
| 1063 |
+
SWZ,Eswatini,2019,60.549
|
| 1064 |
+
SWZ,Eswatini,2020,59.692
|
| 1065 |
+
SXM,Sint Maarten (Dutch part),2016,78.2926829268293
|
| 1066 |
+
SYC,Seychelles,2016,74.309756097561
|
| 1067 |
+
SYC,Seychelles,2017,74.3
|
| 1068 |
+
SYC,Seychelles,2018,72.8414634146341
|
| 1069 |
+
SYC,Seychelles,2019,74.0463414634146
|
| 1070 |
+
SYC,Seychelles,2020,77.2365853658537
|
| 1071 |
+
SYR,Syrian Arab Republic,2016,65.993
|
| 1072 |
+
SYR,Syrian Arab Republic,2017,68.481
|
| 1073 |
+
SYR,Syrian Arab Republic,2018,70.145
|
| 1074 |
+
SYR,Syrian Arab Republic,2019,71.822
|
| 1075 |
+
SYR,Syrian Arab Republic,2020,72.14
|
| 1076 |
+
TCA,Turks and Caicos Islands,2016,76.864
|
| 1077 |
+
TCA,Turks and Caicos Islands,2017,76.702
|
| 1078 |
+
TCA,Turks and Caicos Islands,2018,76.443
|
| 1079 |
+
TCA,Turks and Caicos Islands,2019,75.326
|
| 1080 |
+
TCA,Turks and Caicos Islands,2020,75.001
|
| 1081 |
+
TCD,Chad,2016,52.083
|
| 1082 |
+
TCD,Chad,2017,52.308
|
| 1083 |
+
TCD,Chad,2018,52.825
|
| 1084 |
+
TCD,Chad,2019,53.259
|
| 1085 |
+
TCD,Chad,2020,52.777
|
| 1086 |
+
TEA,East Asia & Pacific (IDA & IBRD countries),2016,75.3534590678359
|
| 1087 |
+
TEA,East Asia & Pacific (IDA & IBRD countries),2017,75.4160599170928
|
| 1088 |
+
TEA,East Asia & Pacific (IDA & IBRD countries),2018,75.836017901148
|
| 1089 |
+
TEA,East Asia & Pacific (IDA & IBRD countries),2019,76.0369732719686
|
| 1090 |
+
TEA,East Asia & Pacific (IDA & IBRD countries),2020,75.9691924258149
|
| 1091 |
+
TEC,Europe & Central Asia (IDA & IBRD countries),2016,73.4575763801701
|
| 1092 |
+
TEC,Europe & Central Asia (IDA & IBRD countries),2017,73.8891983743267
|
| 1093 |
+
TEC,Europe & Central Asia (IDA & IBRD countries),2018,74.0532184477118
|
| 1094 |
+
TEC,Europe & Central Asia (IDA & IBRD countries),2019,74.3447743135936
|
| 1095 |
+
TEC,Europe & Central Asia (IDA & IBRD countries),2020,72.7508448722839
|
| 1096 |
+
TGO,Togo,2016,59.55
|
| 1097 |
+
TGO,Togo,2017,60.154
|
| 1098 |
+
TGO,Togo,2018,60.244
|
| 1099 |
+
TGO,Togo,2019,60.901
|
| 1100 |
+
TGO,Togo,2020,61.035
|
| 1101 |
+
THA,Thailand,2016,78.049
|
| 1102 |
+
THA,Thailand,2017,78.394
|
| 1103 |
+
THA,Thailand,2018,78.662
|
| 1104 |
+
THA,Thailand,2019,78.975
|
| 1105 |
+
THA,Thailand,2020,79.274
|
| 1106 |
+
TJK,Tajikistan,2016,69.549
|
| 1107 |
+
TJK,Tajikistan,2017,69.905
|
| 1108 |
+
TJK,Tajikistan,2018,70.353
|
| 1109 |
+
TJK,Tajikistan,2019,70.867
|
| 1110 |
+
TJK,Tajikistan,2020,67.994
|
| 1111 |
+
TKM,Turkmenistan,2016,68.777
|
| 1112 |
+
TKM,Turkmenistan,2017,68.916
|
| 1113 |
+
TKM,Turkmenistan,2018,68.796
|
| 1114 |
+
TKM,Turkmenistan,2019,69.002
|
| 1115 |
+
TKM,Turkmenistan,2020,68.687
|
| 1116 |
+
TLA,Latin America & the Caribbean (IDA & IBRD countries),2016,74.4886847637685
|
| 1117 |
+
TLA,Latin America & the Caribbean (IDA & IBRD countries),2017,74.6563800397882
|
| 1118 |
+
TLA,Latin America & the Caribbean (IDA & IBRD countries),2018,74.7768765367779
|
| 1119 |
+
TLA,Latin America & the Caribbean (IDA & IBRD countries),2019,74.972242023441
|
| 1120 |
+
TLA,Latin America & the Caribbean (IDA & IBRD countries),2020,72.927970715721
|
| 1121 |
+
TLS,Timor-Leste,2016,67.446
|
| 1122 |
+
TLS,Timor-Leste,2017,67.745
|
| 1123 |
+
TLS,Timor-Leste,2018,68.017
|
| 1124 |
+
TLS,Timor-Leste,2019,68.268
|
| 1125 |
+
TLS,Timor-Leste,2020,68.475
|
| 1126 |
+
TMN,Middle East & North Africa (IDA & IBRD countries),2016,72.2301322796325
|
| 1127 |
+
TMN,Middle East & North Africa (IDA & IBRD countries),2017,72.7432285455686
|
| 1128 |
+
TMN,Middle East & North Africa (IDA & IBRD countries),2018,72.9633890576299
|
| 1129 |
+
TMN,Middle East & North Africa (IDA & IBRD countries),2019,73.1193901266412
|
| 1130 |
+
TMN,Middle East & North Africa (IDA & IBRD countries),2020,72.1463761984205
|
| 1131 |
+
TON,Tonga,2016,70.661
|
| 1132 |
+
TON,Tonga,2017,70.713
|
| 1133 |
+
TON,Tonga,2018,70.779
|
| 1134 |
+
TON,Tonga,2019,70.871
|
| 1135 |
+
TON,Tonga,2020,70.928
|
| 1136 |
+
TSA,South Asia (IDA & IBRD),2016,69.6088639890302
|
| 1137 |
+
TSA,South Asia (IDA & IBRD),2017,69.9791020756437
|
| 1138 |
+
TSA,South Asia (IDA & IBRD),2018,70.2534786113924
|
| 1139 |
+
TSA,South Asia (IDA & IBRD),2019,70.4727549740685
|
| 1140 |
+
TSA,South Asia (IDA & IBRD),2020,69.7483309161325
|
| 1141 |
+
TSS,Sub-Saharan Africa (IDA & IBRD countries),2016,60.0690208848049
|
| 1142 |
+
TSS,Sub-Saharan Africa (IDA & IBRD countries),2017,60.4771348418398
|
| 1143 |
+
TSS,Sub-Saharan Africa (IDA & IBRD countries),2018,60.8630241394089
|
| 1144 |
+
TSS,Sub-Saharan Africa (IDA & IBRD countries),2019,61.2442873450193
|
| 1145 |
+
TSS,Sub-Saharan Africa (IDA & IBRD countries),2020,60.8488912524737
|
| 1146 |
+
TTO,Trinidad and Tobago,2016,74.281
|
| 1147 |
+
TTO,Trinidad and Tobago,2017,74.23
|
| 1148 |
+
TTO,Trinidad and Tobago,2018,73.802
|
| 1149 |
+
TTO,Trinidad and Tobago,2019,74.228
|
| 1150 |
+
TTO,Trinidad and Tobago,2020,74.406
|
| 1151 |
+
TUN,Tunisia,2016,75.786
|
| 1152 |
+
TUN,Tunisia,2017,75.845
|
| 1153 |
+
TUN,Tunisia,2018,75.95
|
| 1154 |
+
TUN,Tunisia,2019,75.993
|
| 1155 |
+
TUN,Tunisia,2020,75.292
|
| 1156 |
+
TUR,Turkiye,2016,76.66
|
| 1157 |
+
TUR,Turkiye,2017,77.141
|
| 1158 |
+
TUR,Turkiye,2018,77.563
|
| 1159 |
+
TUR,Turkiye,2019,77.832
|
| 1160 |
+
TUR,Turkiye,2020,75.85
|
| 1161 |
+
TUV,Tuvalu,2016,64.108
|
| 1162 |
+
TUV,Tuvalu,2017,64.148
|
| 1163 |
+
TUV,Tuvalu,2018,64.212
|
| 1164 |
+
TUV,Tuvalu,2019,64.278
|
| 1165 |
+
TUV,Tuvalu,2020,64.382
|
| 1166 |
+
TZA,Tanzania,2016,65.386
|
| 1167 |
+
TZA,Tanzania,2017,65.999
|
| 1168 |
+
TZA,Tanzania,2018,66.535
|
| 1169 |
+
TZA,Tanzania,2019,66.989
|
| 1170 |
+
TZA,Tanzania,2020,66.408
|
| 1171 |
+
UGA,Uganda,2016,61.648
|
| 1172 |
+
UGA,Uganda,2017,62.115
|
| 1173 |
+
UGA,Uganda,2018,62.714
|
| 1174 |
+
UGA,Uganda,2019,62.991
|
| 1175 |
+
UGA,Uganda,2020,62.851
|
| 1176 |
+
UKR,Ukraine,2016,71.4763414634146
|
| 1177 |
+
UKR,Ukraine,2017,71.7809756097561
|
| 1178 |
+
UKR,Ukraine,2018,71.5826829268293
|
| 1179 |
+
UKR,Ukraine,2019,71.8273170731707
|
| 1180 |
+
UKR,Ukraine,2020,71.1851219512195
|
| 1181 |
+
UMC,Upper middle income,2016,75.7670698844994
|
| 1182 |
+
UMC,Upper middle income,2017,75.9454483117403
|
| 1183 |
+
UMC,Upper middle income,2018,76.317521686296
|
| 1184 |
+
UMC,Upper middle income,2019,76.5438104207227
|
| 1185 |
+
UMC,Upper middle income,2020,75.845914916748
|
| 1186 |
+
URY,Uruguay,2016,77.571
|
| 1187 |
+
URY,Uruguay,2017,77.625
|
| 1188 |
+
URY,Uruguay,2018,77.611
|
| 1189 |
+
URY,Uruguay,2019,77.508
|
| 1190 |
+
URY,Uruguay,2020,78.43
|
| 1191 |
+
USA,United States,2016,78.5390243902439
|
| 1192 |
+
USA,United States,2017,78.5390243902439
|
| 1193 |
+
USA,United States,2018,78.6390243902439
|
| 1194 |
+
USA,United States,2019,78.7878048780488
|
| 1195 |
+
USA,United States,2020,77.2804878048781
|
| 1196 |
+
UZB,Uzbekistan,2016,70.755
|
| 1197 |
+
UZB,Uzbekistan,2017,71.01
|
| 1198 |
+
UZB,Uzbekistan,2018,71.149
|
| 1199 |
+
UZB,Uzbekistan,2019,71.344
|
| 1200 |
+
UZB,Uzbekistan,2020,70.331
|
| 1201 |
+
VCT,St. Vincent and the Grenadines,2016,74.28
|
| 1202 |
+
VCT,St. Vincent and the Grenadines,2017,74.305
|
| 1203 |
+
VCT,St. Vincent and the Grenadines,2018,74.128
|
| 1204 |
+
VCT,St. Vincent and the Grenadines,2019,72.835
|
| 1205 |
+
VCT,St. Vincent and the Grenadines,2020,72.126
|
| 1206 |
+
VEN,"Venezuela, RB",2016,72.058
|
| 1207 |
+
VEN,"Venezuela, RB",2017,71.943
|
| 1208 |
+
VEN,"Venezuela, RB",2018,71.979
|
| 1209 |
+
VEN,"Venezuela, RB",2019,72.161
|
| 1210 |
+
VEN,"Venezuela, RB",2020,71.095
|
| 1211 |
+
VGB,British Virgin Islands,2016,75.724
|
| 1212 |
+
VGB,British Virgin Islands,2017,74.785
|
| 1213 |
+
VGB,British Virgin Islands,2018,75.831
|
| 1214 |
+
VGB,British Virgin Islands,2019,75.863
|
| 1215 |
+
VGB,British Virgin Islands,2020,75.849
|
| 1216 |
+
VIR,Virgin Islands (U.S.),2016,79.1682926829268
|
| 1217 |
+
VIR,Virgin Islands (U.S.),2017,79.3682926829268
|
| 1218 |
+
VIR,Virgin Islands (U.S.),2018,79.5195121951219
|
| 1219 |
+
VIR,Virgin Islands (U.S.),2019,79.6682926829268
|
| 1220 |
+
VIR,Virgin Islands (U.S.),2020,79.819512195122
|
| 1221 |
+
VNM,Vietnam,2016,73.938
|
| 1222 |
+
VNM,Vietnam,2017,73.963
|
| 1223 |
+
VNM,Vietnam,2018,73.976
|
| 1224 |
+
VNM,Vietnam,2019,74.093
|
| 1225 |
+
VNM,Vietnam,2020,75.378
|
| 1226 |
+
VUT,Vanuatu,2016,69.65
|
| 1227 |
+
VUT,Vanuatu,2017,69.71
|
| 1228 |
+
VUT,Vanuatu,2018,69.795
|
| 1229 |
+
VUT,Vanuatu,2019,69.877
|
| 1230 |
+
VUT,Vanuatu,2020,70.299
|
| 1231 |
+
WLD,World,2016,72.3452214183265
|
| 1232 |
+
WLD,World,2017,72.5430440656125
|
| 1233 |
+
WLD,World,2018,72.7852368373675
|
| 1234 |
+
WLD,World,2019,72.9768498650731
|
| 1235 |
+
WLD,World,2020,72.2650112702741
|
| 1236 |
+
WSM,Samoa,2016,72.54
|
| 1237 |
+
WSM,Samoa,2017,72.59
|
| 1238 |
+
WSM,Samoa,2018,72.636
|
| 1239 |
+
WSM,Samoa,2019,72.157
|
| 1240 |
+
WSM,Samoa,2020,72.768
|
| 1241 |
+
XKX,Kosovo,2016,78.981
|
| 1242 |
+
XKX,Kosovo,2017,78.783
|
| 1243 |
+
XKX,Kosovo,2018,78.696
|
| 1244 |
+
XKX,Kosovo,2019,79.022
|
| 1245 |
+
XKX,Kosovo,2020,76.567
|
| 1246 |
+
YEM,"Yemen, Rep.",2016,66.064
|
| 1247 |
+
YEM,"Yemen, Rep.",2017,65.957
|
| 1248 |
+
YEM,"Yemen, Rep.",2018,64.575
|
| 1249 |
+
YEM,"Yemen, Rep.",2019,65.092
|
| 1250 |
+
YEM,"Yemen, Rep.",2020,64.65
|
| 1251 |
+
ZAF,South Africa,2016,64.747
|
| 1252 |
+
ZAF,South Africa,2017,65.402
|
| 1253 |
+
ZAF,South Africa,2018,65.674
|
| 1254 |
+
ZAF,South Africa,2019,66.175
|
| 1255 |
+
ZAF,South Africa,2020,65.252
|
| 1256 |
+
ZMB,Zambia,2016,61.794
|
| 1257 |
+
ZMB,Zambia,2017,62.12
|
| 1258 |
+
ZMB,Zambia,2018,62.342
|
| 1259 |
+
ZMB,Zambia,2019,62.793
|
| 1260 |
+
ZMB,Zambia,2020,62.38
|
| 1261 |
+
ZWE,Zimbabwe,2016,60.306
|
| 1262 |
+
ZWE,Zimbabwe,2017,60.709
|
| 1263 |
+
ZWE,Zimbabwe,2018,61.414
|
| 1264 |
+
ZWE,Zimbabwe,2019,61.292
|
| 1265 |
+
ZWE,Zimbabwe,2020,61.124
|
LIFE_TRAIN.csv
ADDED
|
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|
|