project2
Md Asaduzzaman
2024-10-14
library(dplyr)##
## Attaching package: 'dplyr'## The following objects are masked from 'package:stats':
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## filter, lag## The following objects are masked from 'package:base':
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## intersect, setdiff, setequal, unionlibrary(tidyr)
library(magrittr)##
## Attaching package: 'magrittr'## The following object is masked from 'package:tidyr':
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## extractlibrary(ggplot2)
library(data.table) ##
## Attaching package: 'data.table'## The following objects are masked from 'package:dplyr':
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## between, first, lastR Markdown
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** IS 607 – Project 2 The goal of this assignment is to give you practice in preparing different datasets for downstream analysis work. Your task is to:
- Choose any three of the “wide” datasets identified in the Week 6 Discussion items. (You may use your own dataset; please don’t use my Sample Post dataset, since that was used in your Week 6 assignment!) For each of the three chosen datasets:
Create a .CSV file (or optionally, a MySQL database!) that includes all of the information included in the dataset. You’re encouraged to use a “wide” structure similar to how the information appears in the discussion item, so that you can practice tidying and transformations as described below.
Read the information from your .CSV file into R, and use tidyr and dplyr as needed to tidy and transform your data. [Most of your grade will be based on this step!] Perform the analysis requested in the discussion item. Your code should be in an R Markdown file, posted to rpubs.com, and should include narrative descriptions of your data cleanup work, analysis, and conclusions. (2) Please include in your homework submission, for each of the three chosen datasets: The URL to the .Rmd file in your GitHub repository, and The URL for your rpubs.com web page
**
UMp_dataset<- read.csv("https://raw.githubusercontent.com/asadny82/Data607/refs/heads/main/Unemployment%20Rate.csv", header=TRUE, sep=",")
head(UMp_dataset[1:10])## X Advanced.Economies Argentina Australia Austria Belgium Bulgaria
## 1 NA NA NA NA NA NA NA
## 2 1995 7.354386 NA 8.471058 6.589767 9.673502 11.38583
## 3 1996 7.322514 NA 8.516425 7.033851 9.544409 11.06167
## 4 1997 7.023768 NA 8.363718 7.103283 9.212289 14.04583
## 5 1998 6.647258 NA 7.651377 7.184796 9.340881 12.20333
## 6 1999 6.325752 NA 6.869885 6.645249 8.411080 13.78250
## Bahrain Belarus Brazil
## 1 NA NA NA
## 2 NA NA NA
## 3 NA NA NA
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NAglimpse(UMp_dataset)## Rows: 31
## Columns: 79
## $ X <int> NA, 1995, 1996, 1997,…
## $ Advanced.Economies <dbl> NA, 7.354386, 7.32251…
## $ Argentina <dbl> NA, NA, NA, NA, NA, N…
## $ Australia <dbl> NA, 8.471058, 8.51642…
## $ Austria <dbl> NA, 6.589767, 7.03385…
## $ Belgium <dbl> NA, 9.673502, 9.54440…
## $ Bulgaria <dbl> NA, 11.385830, 11.061…
## $ Bahrain <dbl> NA, NA, NA, NA, NA, N…
## $ Belarus <dbl> NA, NA, NA, NA, NA, N…
## $ Brazil <dbl> NA, NA, NA, NA, NA, N…
## $ Canada <dbl> NA, 9.466667, 9.60833…
## $ Switzerland <dbl> NA, 4.232892, 4.66567…
## $ Chile <dbl> NA, NA, NA, NA, NA, N…
## $ Colombia <dbl> NA, NA, NA, NA, NA, N…
## $ Cyprus <dbl> NA, NA, NA, NA, NA, N…
## $ Czech.Republic <dbl> NA, 4.025000, 3.88333…
## $ Germany <dbl> NA, 7.091995, 7.74478…
## $ Denmark <dbl> NA, NA, NA, NA, NA, N…
## $ Dominican.Republic <dbl> NA, NA, NA, NA, NA, N…
## $ EMDE.East.Asia...Pacific <dbl> NA, NA, NA, NA, NA, N…
## $ EMDE.Europe...Central.Asia <dbl> NA, 9.768115, 10.0625…
## $ Ecuador <dbl> NA, NA, NA, NA, NA, N…
## $ Egypt..Arab.Rep. <dbl> NA, NA, NA, NA, NA, N…
## $ Emerging.Market.and.Developing.Economies..EMDEs. <dbl> NA, NA, NA, NA, NA, N…
## $ Spain <dbl> NA, 20.791670, 19.908…
## $ Estonia <dbl> NA, 9.750, 9.950, 9.6…
## $ Finland <dbl> NA, 15.825570, 14.986…
## $ France <dbl> NA, 9.625, 10.100, 10…
## $ United.Kingdom <dbl> NA, 8.658333, 8.11666…
## $ Greece <dbl> NA, NA, NA, NA, NA, N…
## $ High.Income.Countries <dbl> NA, 7.673584, 7.70990…
## $ Hong.Kong.SAR..China <dbl> NA, 3.039959, 2.85616…
## $ Croatia <dbl> NA, NA, NA, NA, NA, 1…
## $ Hungary <dbl> NA, NA, NA, NA, NA, 6…
## $ Ireland <dbl> NA, 12.283330, 11.650…
## $ Iceland <dbl> NA, NA, NA, NA, NA, N…
## $ Israel <dbl> NA, NA, NA, NA, NA, N…
## $ Italy <dbl> NA, NA, NA, NA, NA, N…
## $ Japan <dbl> NA, 3.153574, 3.35083…
## $ Korea..Rep. <dbl> NA, NA, NA, NA, NA, N…
## $ EMDE.Latin.America...Caribbean <dbl> NA, NA, NA, NA, NA, N…
## $ Low.Income.Countries..LIC. <lgl> NA, NA, NA, NA, NA, N…
## $ Sri.Lanka <dbl> NA, 12.3, 11.3, 10.5,…
## $ Lithuania <dbl> NA, 6.116667, 7.13333…
## $ Luxembourg <dbl> NA, 2.559387, 2.81833…
## $ Latvia <dbl> NA, NA, NA, NA, NA, N…
## $ Morocco <dbl> NA, NA, NA, NA, NA, N…
## $ Mexico <dbl> NA, NA, NA, NA, NA, N…
## $ Middle.Income.Countries..MIC. <dbl> NA, NA, NA, NA, NA, N…
## $ North.Macedonia <dbl> NA, NA, NA, NA, NA, N…
## $ Malta <dbl> NA, NA, NA, NA, NA, N…
## $ EMDE.Middle.East...N..Africa <dbl> NA, NA, NA, NA, NA, N…
## $ Netherlands <dbl> NA, NA, NA, NA, NA, N…
## $ Norway <dbl> NA, 5.791667, 5.08333…
## $ New.Zealand <dbl> NA, 6.449457, 6.30447…
## $ Pakistan <dbl> NA, 5.37, 5.37, 6.12,…
## $ Peru <dbl> NA, NA, NA, NA, NA, N…
## $ Philippines <dbl> NA, 9.525, 8.550, 8.7…
## $ Poland <dbl> NA, 15.225000, 14.300…
## $ Portugal <dbl> NA, 7.850721, 7.95456…
## $ Romania <dbl> NA, 9.975000, 7.77500…
## $ Russian.Federation <dbl> NA, 8.289285, 9.27382…
## $ EMDE.South.Asia <dbl> NA, 6.137680, 6.02690…
## $ Saudi.Arabia <dbl> NA, NA, NA, NA, NA, 4…
## $ Singapore <dbl> NA, 1.725, 1.650, 1.4…
## $ EMDE.Sub.Saharan.Africa <dbl> NA, NA, NA, NA, NA, N…
## $ Slovakia <dbl> NA, 13.680830, 12.605…
## $ Slovenia <dbl> NA, 14.041670, 13.916…
## $ Sweden <dbl> NA, 10.427560, 10.898…
## $ Thailand <dbl> NA, NA, NA, NA, NA, N…
## $ Tunisia <dbl> NA, NA, NA, NA, NA, N…
## $ Turkey <dbl> NA, NA, NA, NA, NA, N…
## $ Taiwan..China <dbl> NA, 1.808333, 2.60000…
## $ Uruguay <dbl> NA, NA, NA, 11.558330…
## $ United.States <dbl> NA, 5.591667, 5.40833…
## $ Venezuela..RB <dbl> NA, NA, NA, NA, NA, 1…
## $ Viet.Nam <dbl> NA, NA, NA, NA, NA, N…
## $ World..WBG.members. <dbl> NA, NA, NA, NA, NA, N…
## $ South.Africa <dbl> NA, NA, NA, NA, NA, N…colnames(UMp_dataset[1:20])## [1] "X" "Advanced.Economies"
## [3] "Argentina" "Australia"
## [5] "Austria" "Belgium"
## [7] "Bulgaria" "Bahrain"
## [9] "Belarus" "Brazil"
## [11] "Canada" "Switzerland"
## [13] "Chile" "Colombia"
## [15] "Cyprus" "Czech.Republic"
## [17] "Germany" "Denmark"
## [19] "Dominican.Republic" "EMDE.East.Asia...Pacific"UMp_dataset<- UMp_dataset %>%
rename("year"= X)
UMp_dataset## year Advanced.Economies Argentina Australia Austria Belgium Bulgaria
## 1 NA NA NA NA NA NA NA
## 2 1995 7.354386 NA 8.471058 6.589767 9.673502 11.385830
## 3 1996 7.322514 NA 8.516425 7.033851 9.544409 11.061670
## 4 1997 7.023768 NA 8.363718 7.103283 9.212289 14.045830
## 5 1998 6.647258 NA 7.651377 7.184796 9.340881 12.203330
## 6 1999 6.325752 NA 6.869885 6.645249 8.411080 13.782500
## 7 2000 5.845738 NA 6.273074 5.803798 6.875592 18.129170
## 8 2001 5.990523 NA 6.765134 6.094126 6.589738 17.508330
## 9 2002 6.550369 22.425370 6.358194 6.871619 7.526965 17.426670
## 10 2003 6.762772 17.216580 5.931701 7.014325 8.182808 14.259170
## 11 2004 6.528094 13.622010 5.395828 7.067989 8.390290 12.670000
## 12 2005 6.193322 11.560380 5.033575 7.272197 8.441851 11.450830
## 13 2006 5.750215 10.150660 4.773106 6.779983 8.259000 9.602500
## 14 2007 5.503190 8.445447 4.369390 6.212382 7.488011 7.736667
## 15 2008 5.913614 7.856472 4.245414 5.900164 6.964915 6.302500
## 16 2009 8.135153 8.667090 5.564415 7.277309 7.986733 7.584167
## 17 2010 8.446607 7.745602 5.182600 6.924717 8.371863 9.474167
## 18 2011 8.155387 7.154079 5.084525 6.724668 7.208805 9.594167
## 19 2012 8.279416 7.214806 5.223267 6.980577 7.632052 11.089170
## 20 2013 8.233751 7.075905 5.670084 7.614801 8.554486 11.312500
## 21 2014 7.600981 7.268935 6.086423 8.365302 8.653592 11.160000
## 22 2015 6.988355 6.607550 6.054337 9.102527 8.655775 10.060000
## 23 2016 6.513791 8.463213 5.715893 9.063412 7.850313 8.685833
## 24 2017 5.908083 8.337304 5.594318 8.515910 7.097306 7.199167
## 25 2018 5.356592 9.207866 5.307342 7.711786 5.958609 6.175833
## 26 2019 5.037348 9.800519 5.168636 7.352249 5.366175 5.650000
## 27 2020 6.891537 11.532220 6.462833 9.996428 5.531549 7.359167
## 28 2021 5.826441 8.721822 5.126974 7.984046 6.273749 5.521667
## 29 2022 4.653036 6.833012 3.715796 6.289696 5.578462 4.499167
## 30 2023 4.564668 6.126724 3.686314 6.409709 5.526029 5.280000
## 31 2024 NA NA NA 6.960725 NA NA
## Bahrain Belarus Brazil Canada Switzerland Chile Colombia
## 1 NA NA NA NA NA NA NA
## 2 NA NA NA 9.466667 4.232892 NA NA
## 3 NA NA NA 9.608333 4.665679 NA NA
## 4 NA NA NA 9.091667 5.201972 NA NA
## 5 NA NA NA 8.291667 3.840284 NA NA
## 6 NA NA NA 7.566667 2.713548 NA NA
## 7 NA NA NA 6.833333 1.817696 NA NA
## 8 NA NA NA 7.225000 1.700255 NA 14.973010
## 9 NA NA NA 7.683333 2.550812 NA 15.671440
## 10 NA NA NA 7.591667 3.699936 NA 14.072790
## 11 NA NA NA 7.150000 3.877498 NA 13.612590
## 12 NA NA NA 6.750000 3.763605 NA 11.821280
## 13 16.0 NA NA 6.450000 3.329346 NA 12.098860
## 14 5.6 NA NA 6.158333 2.761496 NA 11.287530
## 15 3.7 NA NA 6.308333 2.573752 NA 11.403210
## 16 4.0 NA NA 8.458333 3.712967 NA 12.243200
## 17 3.6 NA NA 8.141667 3.515214 8.535106 12.010040
## 18 4.0 NA NA 7.616667 2.836459 7.373030 11.043880
## 19 3.7 NA NA 7.408333 2.906198 6.646527 10.635000
## 20 4.3 NA 7.289735 7.175000 3.159491 6.124041 9.886846
## 21 3.8 NA 6.875286 7.033333 3.043093 6.424755 9.404219
## 22 3.5 NA 8.443451 6.950000 3.180653 6.394900 9.198631
## 23 3.9 6.173138 11.403450 7.033333 3.325244 6.640757 9.543023
## 24 4.1 5.671507 12.864940 6.408333 3.088279 6.936552 9.673189
## 25 4.3 4.826157 12.373760 5.850000 2.541681 7.339483 9.989517
## 26 4.7 4.222985 12.049110 5.700000 2.304641 7.226031 10.901050
## 27 5.9 4.101191 13.525280 9.725000 3.187624 10.540220 16.737170
## 28 5.9 3.923700 13.481030 7.483333 2.984713 9.117112 13.753600
## 29 5.4 3.598539 9.497428 5.266667 2.160390 7.808057 11.181540
## 30 6.3 3.474964 8.040467 5.408333 2.034545 8.646686 10.146090
## 31 NA NA NA NA 2.383774 NA NA
## Cyprus Czech.Republic Germany Denmark Dominican.Republic
## 1 NA NA NA NA NA
## 2 NA 4.025000 7.091995 NA NA
## 3 NA 3.883333 7.744782 NA NA
## 4 NA 4.783333 8.564591 NA NA
## 5 NA 6.466667 8.107012 NA NA
## 6 NA 8.708333 7.482197 NA NA
## 7 4.850000 8.758333 6.874555 NA NA
## 8 3.916667 8.116667 6.901246 NA NA
## 9 3.516667 7.291667 7.665995 NA NA
## 10 4.108333 7.800000 8.770507 NA NA
## 11 4.616667 8.308333 9.181314 NA NA
## 12 5.291667 7.925000 9.119307 NA NA
## 13 4.558333 7.150000 8.079014 3.795757 NA
## 14 3.941667 5.316667 8.531125 3.596220 NA
## 15 3.658333 4.408333 7.410218 2.642212 NA
## 16 5.391667 6.683333 7.221496 4.844062 NA
## 17 6.283333 7.300000 6.562063 6.072357 NA
## 18 7.908333 6.716667 5.505894 5.935750 NA
## 19 11.850000 6.991667 5.078718 6.052490 NA
## 20 15.933330 6.958333 4.944463 5.749053 NA
## 21 16.166670 6.116667 4.703911 5.000041 NA
## 22 14.933330 5.075000 4.361970 4.559738 7.312932
## 23 12.975000 3.950000 3.902904 4.128826 7.068438
## 24 11.108330 2.883333 3.565134 4.190788 5.517686
## 25 8.425000 2.241667 3.207767 3.848178 5.621356
## 26 7.066667 2.041667 2.976985 3.671415 6.150558
## 27 7.616667 2.550000 3.629676 4.614453 5.831736
## 28 7.175000 2.825000 3.566448 3.601320 7.386001
## 29 6.275000 2.391667 3.064877 2.528134 5.301110
## 30 5.850000 2.633333 3.026228 2.794248 5.307372
## 31 NA NA NA NA NA
## EMDE.East.Asia...Pacific EMDE.Europe...Central.Asia Ecuador
## 1 NA NA NA
## 2 NA 9.768115 NA
## 3 NA 10.062560 NA
## 4 NA 10.698070 NA
## 5 NA 11.255220 NA
## 6 NA 12.650420 NA
## 7 NA 11.446530 NA
## 8 NA 10.511140 NA
## 9 5.983834 10.641840 NA
## 10 5.895526 10.462260 NA
## 11 6.042697 9.932444 NA
## 12 5.755575 9.261675 NA
## 13 4.122685 8.764724 NA
## 14 3.780625 7.696167 NA
## 15 3.821656 7.613295 5.470113
## 16 4.059837 9.726274 6.279435
## 17 3.888312 9.155962 5.791348
## 18 3.431192 8.125005 4.716967
## 19 3.318076 7.502377 4.132043
## 20 3.443012 7.736227 4.032017
## 21 3.365173 7.567973 4.293863
## 22 3.274304 7.556581 4.351062
## 23 3.001373 7.332422 5.372305
## 24 3.117236 6.846285 4.433302
## 25 2.934842 6.389158 4.083627
## 26 2.836958 6.762057 4.448253
## 27 NA 7.312722 8.263047
## 28 NA 6.610486 5.160157
## 29 3.122427 5.630787 4.287879
## 30 2.701539 4.990663 3.748015
## 31 NA NA NA
## Egypt..Arab.Rep. Emerging.Market.and.Developing.Economies..EMDEs. Spain
## 1 NA NA NA
## 2 NA NA 20.791670
## 3 NA NA 19.908330
## 4 NA NA 18.400000
## 5 NA NA 16.408330
## 6 NA NA 13.600000
## 7 NA NA 11.916670
## 8 NA NA 10.575000
## 9 NA NA 11.466670
## 10 10.413680 NA 11.491670
## 11 10.751310 9.247116 10.975000
## 12 11.034160 8.789407 9.158333
## 13 10.701610 7.930268 8.441667
## 14 8.998381 7.140218 8.250000
## 15 8.707039 7.031817 11.266670
## 16 9.393224 7.980741 17.883330
## 17 8.983811 7.764729 19.866670
## 18 11.996660 7.544398 21.416670
## 19 12.666040 7.320752 24.808330
## 20 13.311850 7.417153 26.108330
## 21 13.155470 7.267893 24.450000
## 22 12.766150 7.392685 22.066670
## 23 12.540790 7.801359 19.641670
## 24 11.793160 7.885981 17.241670
## 25 9.858279 7.544362 15.258330
## 26 7.859632 7.685554 14.108330
## 27 7.958193 9.184252 15.550000
## 28 7.398819 8.560220 14.950000
## 29 7.246002 7.040695 13.033330
## 30 7.021613 6.437046 12.200000
## 31 NA NA NA
## Estonia Finland France United.Kingdom Greece High.Income.Countries
## 1 NA NA NA NA NA NA
## 2 9.750 15.825570 9.625 8.658333 NA 7.673584
## 3 9.950 14.986870 10.100 8.116667 NA 7.709900
## 4 9.650 13.031760 10.250 6.983333 NA 7.611438
## 5 9.825 11.755780 9.800 6.266667 NA 7.433577
## 6 12.250 10.597870 9.550 5.983333 NA 7.477502
## 7 14.575 10.175620 8.175 5.450000 NA 6.883750
## 8 13.000 9.534451 7.350 5.083333 NA 6.816017
## 9 11.225 9.471138 7.525 5.175000 NA 7.290970
## 10 10.350 9.406623 8.125 5.008333 NA 7.426805
## 11 10.125 9.203872 8.525 4.750000 10.608870 7.139478
## 12 8.025 8.787693 8.500 4.841667 10.020590 6.752241
## 13 5.950 8.096037 8.525 5.416667 9.035463 6.312612
## 14 4.625 7.261974 7.675 5.333333 8.421496 5.825545
## 15 5.425 6.759510 7.100 5.708333 7.760838 6.052808
## 16 13.600 8.390665 8.750 7.608333 9.756503 8.151459
## 17 16.700 8.534658 8.925 7.891667 12.971590 8.366786
## 18 12.325 7.951293 8.825 8.100000 18.103430 8.000703
## 19 9.975 7.821146 9.400 7.991667 24.831860 7.969313
## 20 8.600 8.292558 9.950 7.608333 27.834980 7.957264
## 21 7.300 8.756730 9.900 6.216667 26.651630 7.373478
## 22 6.175 9.462982 10.025 5.408333 24.998300 6.871654
## 23 6.775 8.913288 9.725 4.966667 23.880300 6.424241
## 24 5.800 8.749476 9.100 4.450000 21.831450 5.849504
## 25 5.375 7.396495 8.700 4.158333 19.734560 5.322527
## 26 4.450 6.721288 8.175 3.933333 17.875710 5.010828
## 27 6.800 7.734678 7.850 4.658333 17.655620 6.716435
## 28 6.175 7.623641 7.650 4.633333 14.768720 5.746107
## 29 5.600 6.786779 7.050 3.850000 12.457480 4.610555
## 30 6.375 7.234122 7.100 4.025000 11.094170 4.459085
## 31 NA NA NA NA NA NA
## Hong.Kong.SAR..China Croatia Hungary Ireland Iceland Israel Italy
## 1 NA NA NA NA NA NA NA
## 2 3.039959 NA NA 12.283330 NA NA NA
## 3 2.856166 NA NA 11.650000 NA NA NA
## 4 2.237825 NA NA 9.858333 NA NA NA
## 5 4.360939 NA NA 7.550000 NA NA NA
## 6 6.254886 18.633330 6.525 5.916667 NA NA NA
## 7 5.119731 20.600000 5.975 4.383333 NA NA NA
## 8 4.922822 21.516670 5.300 4.183333 NA NA NA
## 9 7.227346 21.783330 5.400 4.733333 NA NA NA
## 10 7.920709 19.075000 5.450 4.841667 3.510446 NA NA
## 11 6.882274 17.775000 5.675 4.750000 3.374610 NA 8.059599
## 12 5.708736 17.591670 6.775 4.633333 2.912352 NA 7.787296
## 13 4.840284 16.533330 7.050 4.766667 3.189367 NA 6.867435
## 14 4.118428 14.741670 7.025 5.008333 2.465315 NA 6.164603
## 15 3.435872 13.033330 7.425 6.800000 3.430100 NA 6.787662
## 16 5.205974 14.541670 9.700 12.650000 8.103052 NA 7.892778
## 17 4.416442 17.175000 10.750 14.591670 8.363068 NA 8.542089
## 18 3.466286 17.391670 10.675 15.408330 7.638525 NA 8.508718
## 19 3.298859 18.600000 10.700 15.483330 6.601192 6.891667 10.897980
## 20 3.398103 19.816670 9.800 13.775000 5.845529 6.208333 12.378990
## 21 3.237743 19.258330 7.500 11.891670 5.405899 5.883333 12.814710
## 22 3.300063 17.033330 6.600 9.925000 4.492076 5.258333 11.985420
## 23 3.383046 14.941670 4.975 8.383333 3.344106 4.833333 11.746530
## 24 3.153227 12.416670 4.075 6.766667 3.211627 4.225000 11.259380
## 25 2.815227 9.858333 3.600 5.800000 3.115177 4.000000 10.581260
## 26 2.918238 7.750000 3.300 4.991667 3.956220 3.808333 9.922250
## 27 5.519467 8.983333 4.150 5.841667 6.437921 4.316667 9.314731
## 28 5.419804 8.083333 4.050 6.250000 5.898685 4.958333 9.559036
## 29 4.330692 6.775000 3.575 4.450000 3.791526 3.758333 8.078689
## 30 2.980999 6.216667 4.100 4.316667 3.424932 3.450000 7.665638
## 31 NA NA NA 4.388889 NA NA NA
## Japan Korea..Rep. EMDE.Latin.America...Caribbean
## 1 NA NA NA
## 2 3.153574 NA NA
## 3 3.350839 NA NA
## 4 3.403121 NA NA
## 5 4.114412 NA NA
## 6 4.683277 NA NA
## 7 4.714846 4.416667 NA
## 8 5.039315 3.975000 NA
## 9 5.373721 3.250000 NA
## 10 5.252234 3.575000 NA
## 11 4.714356 3.666667 NA
## 12 4.423202 3.733333 NA
## 13 4.139495 3.483333 NA
## 14 3.838205 3.258333 NA
## 15 3.994579 3.166667 NA
## 16 5.067755 3.650000 NA
## 17 5.048095 3.700000 NA
## 18 4.582263 3.383333 NA
## 19 4.347789 3.200000 NA
## 20 4.021579 3.100000 NA
## 21 3.587385 3.508333 6.546708
## 22 3.371512 3.600000 7.050227
## 23 3.113239 3.675000 8.411655
## 24 2.806608 3.683333 8.867814
## 25 2.441785 3.858333 8.721677
## 26 2.349514 3.758333 8.773949
## 27 2.775949 3.983333 11.005590
## 28 2.817412 3.608333 10.083290
## 29 2.600608 2.866667 7.475368
## 30 2.566535 2.700000 6.551037
## 31 NA NA NA
## Low.Income.Countries..LIC. Sri.Lanka Lithuania Luxembourg Latvia
## 1 NA NA NA NA NA
## 2 NA 12.3 6.116667 2.559387 NA
## 3 NA 11.3 7.133333 2.818333 NA
## 4 NA 10.5 5.908333 3.025643 NA
## 5 NA 9.2 6.408333 2.796701 NA
## 6 NA 8.9 8.383333 2.655528 NA
## 7 NA 7.6 11.533330 2.380519 NA
## 8 NA 7.9 12.533330 2.198996 NA
## 9 NA 8.8 11.341670 2.499262 12.474320
## 10 NA 8.1 10.275000 3.285751 11.658060
## 11 NA 8.1 6.816667 3.691951 11.756320
## 12 NA 7.7 4.808333 4.103193 10.031100
## 13 NA 6.5 3.458333 4.222977 7.009397
## 14 NA 6.0 3.175000 4.183068 6.058362
## 15 NA 5.4 3.450000 4.157452 7.790274
## 16 NA 5.9 9.458333 5.478711 17.637130
## 17 NA 4.9 14.483330 5.803438 19.430640
## 18 NA 4.2 11.708330 5.681366 16.167120
## 19 NA 4.0 11.716670 6.090497 15.006310
## 20 NA 4.4 10.925000 6.835032 11.843040
## 21 NA 4.3 9.475000 7.089937 10.831200
## 22 NA 4.7 8.716667 6.780017 9.875580
## 23 NA 4.4 8.041667 6.349759 9.636605
## 24 NA 4.2 7.883333 5.917868 8.709272
## 25 NA 4.4 8.500000 5.463423 7.396253
## 26 NA 4.8 8.383333 5.380330 6.309590
## 27 NA 5.5 12.558330 6.348981 8.091180
## 28 NA 5.1 13.041670 5.747644 7.561428
## 29 NA 4.7 9.008333 4.811048 6.851463
## 30 NA 4.7 8.650000 5.216674 6.506651
## 31 NA NA 8.744444 NA NA
## Morocco Mexico Middle.Income.Countries..MIC. North.Macedonia Malta
## 1 NA NA NA NA NA
## 2 NA NA NA NA NA
## 3 NA NA NA NA NA
## 4 NA NA NA NA NA
## 5 NA NA NA NA NA
## 6 NA NA NA NA NA
## 7 NA NA NA NA NA
## 8 NA NA NA NA 6.422907
## 9 NA NA NA NA 6.956842
## 10 NA NA NA NA 7.556806
## 11 NA NA NA 37.15246 7.184147
## 12 NA 3.478333 NA 37.24997 7.177865
## 13 9.576953 3.525833 7.664966 36.02997 7.271743
## 14 9.768167 3.610833 7.086572 34.92754 6.466164
## 15 9.550787 3.903333 7.119271 33.77549 6.063850
## 16 9.104138 5.385000 7.871293 32.17301 6.908511
## 17 9.112441 5.307500 7.609957 32.04459 6.890531
## 18 8.866541 5.190000 7.522518 31.37116 6.469968
## 19 9.017255 4.930000 7.415818 30.99627 6.424631
## 20 9.208018 4.939167 7.520026 28.99620 6.379206
## 21 9.703127 4.833333 7.448184 28.02293 5.858993
## 22 9.460977 4.345000 7.638455 26.04520 5.409116
## 23 9.286493 3.874167 8.215301 23.74568 4.678387
## 24 10.285980 3.419167 8.457415 22.27129 4.124278
## 25 9.621025 3.320000 8.144691 20.59799 3.949403
## 26 9.188729 3.488333 8.392642 17.14889 4.073508
## 27 11.941830 4.406667 9.965514 16.15013 4.848455
## 28 12.262590 4.142500 9.347690 15.42576 3.774977
## 29 11.899130 3.274167 7.697228 14.37539 3.451898
## 30 13.027530 2.795833 7.042321 13.04973 3.127250
## 31 NA NA NA NA NA
## EMDE.Middle.East...N..Africa Netherlands Norway New.Zealand Pakistan
## 1 NA NA NA NA NA
## 2 NA NA 5.791667 6.449457 5.37
## 3 NA NA 5.083333 6.304477 5.37
## 4 NA NA 4.141667 6.833208 6.12
## 5 NA NA 3.308333 7.734764 5.89
## 6 NA NA 3.241667 7.016475 5.89
## 7 NA NA 3.466667 6.144700 7.82
## 8 NA NA 3.633333 5.454620 7.82
## 9 NA NA 3.908333 5.306666 8.27
## 10 NA 5.920346 4.491667 4.777104 8.27
## 11 9.969311 6.778997 4.541667 4.021320 7.69
## 12 10.267300 6.955206 4.808333 3.826852 7.69
## 13 10.067590 6.073976 3.608333 3.841961 6.20
## 14 8.892362 5.299355 2.725000 3.561369 5.20
## 15 8.520868 4.754470 2.908333 4.023856 5.20
## 16 8.869236 5.434037 3.466667 5.887898 5.46
## 17 8.646904 6.063175 3.916667 6.218639 5.55
## 18 10.437980 6.052812 3.583333 6.015408 5.95
## 19 10.799820 6.821324 3.475000 6.473370 5.95
## 20 11.092000 8.203119 3.900000 5.850508 6.24
## 21 11.066830 8.345212 3.800000 5.421609 6.00
## 22 10.806850 7.884946 4.658333 5.399099 5.90
## 23 10.677120 6.986961 4.900000 5.122487 NA
## 24 10.559350 5.861958 4.366667 4.722119 NA
## 25 9.421832 4.856475 4.041667 4.324404 5.80
## 26 8.214108 4.426895 3.858333 4.099060 6.90
## 27 9.275761 4.851547 4.775000 4.607901 NA
## 28 9.018574 4.222472 4.425000 3.787420 6.30
## 29 8.299996 3.539805 3.250000 3.278674 NA
## 30 8.477531 3.542296 3.600000 3.707101 NA
## 31 NA NA NA NA NA
## Peru Philippines Poland Portugal Romania Russian.Federation
## 1 NA NA NA NA NA NA
## 2 NA 9.525000 15.225000 7.850721 9.975000 8.289285
## 3 NA 8.550000 14.300000 7.954561 7.775000 9.273822
## 4 NA 8.725000 11.508330 7.452022 7.508333 10.824920
## 5 NA 10.050000 10.008330 5.693785 9.266667 11.883590
## 6 NA 9.775000 11.991670 5.078260 11.383330 13.027060
## 7 NA 11.200000 14.025000 4.697619 11.175000 10.551490
## 8 NA 11.175000 16.216670 4.772225 8.991667 8.950524
## 9 9.402833 11.400000 19.716670 5.767419 10.183330 8.058492
## 10 9.447859 11.375000 19.916670 6.945851 7.558333 8.243252
## 11 9.447917 11.800000 19.500000 7.348092 6.750000 7.735817
## 12 9.558387 11.350000 18.183330 8.302135 5.825000 7.160630
## 13 8.544907 7.975000 16.191670 8.352722 5.416667 7.070196
## 14 8.391889 7.325000 12.691670 8.708307 4.300000 6.052404
## 15 8.377260 7.400000 9.825000 8.306925 3.983333 6.263401
## 16 8.392997 7.475000 10.966670 10.188150 6.283333 8.242749
## 17 7.848329 7.325000 12.116670 11.509880 7.625000 7.345435
## 18 7.688374 7.050000 12.383330 13.432640 5.383333 6.496540
## 19 6.771483 7.000000 12.800000 16.512830 5.066667 5.431224
## 20 5.944029 7.075000 13.525000 17.096470 5.258333 5.491230
## 21 5.935543 6.825000 12.316670 14.516580 5.250000 5.158920
## 22 6.491689 6.275000 10.475000 12.935570 5.125000 5.576504
## 23 6.754285 5.450000 8.925000 11.411640 4.791667 5.515574
## 24 6.901772 5.700000 7.258333 9.141735 4.266667 5.181657
## 25 6.627672 5.300000 6.075000 7.164851 3.566667 4.797720
## 26 6.544831 5.100000 5.416667 6.620423 3.050000 4.615427
## 27 14.167530 10.275000 5.966667 6.943784 3.116667 5.762670
## 28 10.717140 8.025000 6.408333 6.556726 3.050000 4.851267
## 29 7.697491 5.450000 5.400000 6.051466 2.916667 3.958911
## 30 6.802061 4.600000 5.175000 6.495541 2.875000 3.175648
## 31 NA 4.333333 5.111111 NA NA NA
## EMDE.South.Asia Saudi.Arabia Singapore EMDE.Sub.Saharan.Africa Slovakia
## 1 NA NA NA NA NA
## 2 6.137680 NA 1.725 NA 13.680830
## 3 6.026903 NA 1.650 NA 12.605000
## 4 6.605200 NA 1.425 NA 12.914170
## 5 6.256669 NA 2.575 NA 13.825000
## 6 6.223437 4.351138 2.800 NA 17.490830
## 7 7.795629 4.571755 2.600 NA 18.265000
## 8 7.828862 4.621904 2.675 NA 18.266670
## 9 8.328711 5.270820 3.575 27.83813 17.808330
## 10 8.251168 5.558241 4.000 27.56754 15.181670
## 11 7.735418 5.815326 3.375 25.09254 14.241670
## 12 7.691108 6.093714 3.125 24.63184 11.625830
## 13 6.233233 6.295392 2.675 23.48725 10.362500
## 14 5.288621 5.798668 2.100 22.88495 8.420833
## 15 5.222155 5.201662 2.275 22.46910 7.645000
## 16 5.508742 5.401630 3.000 23.66905 11.440000
## 17 5.477995 5.500834 2.175 24.84062 12.472500
## 18 5.756142 5.798776 2.025 24.78783 13.151670
## 19 5.733986 5.498660 1.950 24.88034 13.580830
## 20 6.036172 5.598755 1.900 24.73059 14.100000
## 21 5.811680 5.699692 1.950 25.10001 12.781670
## 22 5.767068 5.600570 1.900 25.33599 11.493330
## 23 NA 5.600135 2.075 26.70138 9.480000
## 24 NA 5.999176 2.175 27.41029 7.060833
## 25 5.644913 5.994810 2.125 27.08909 5.420000
## 26 6.667370 5.691622 2.225 28.67133 5.001667
## 27 NA 7.386515 3.025 29.15172 6.788333
## 28 NA 6.892341 2.650 34.31483 7.476667
## 29 NA 4.769607 2.125 33.52811 6.310000
## 30 NA NA 1.925 32.39411 5.298333
## 31 NA NA NA NA NA
## Slovenia Sweden Thailand Tunisia Turkey Taiwan..China Uruguay
## 1 NA NA NA NA NA NA NA
## 2 14.041670 10.427560 NA NA NA 1.808333 NA
## 3 13.916670 10.898600 NA NA NA 2.600000 NA
## 4 14.416670 10.882600 NA NA NA 2.725000 11.558330
## 5 14.483330 8.813132 NA NA NA 2.700000 10.125000
## 6 13.566670 7.564602 NA NA NA 2.925000 11.200000
## 7 12.183330 6.330908 NA NA NA 3.000000 13.400000
## 8 11.558330 5.978618 3.272500 NA NA 4.561667 15.191670
## 9 11.591670 6.096236 2.370833 NA NA 5.171667 16.750000
## 10 11.175000 6.713750 2.166667 NA NA 4.995000 17.150000
## 11 10.591670 7.527585 2.054167 NA NA 4.419167 13.341670
## 12 10.141670 7.911494 1.825833 NA 9.250000 4.126667 12.141670
## 13 9.433333 7.146732 1.490833 NA 8.741667 3.904167 10.783330
## 14 7.725000 6.223433 1.353333 NA 8.841667 3.910000 9.400000
## 15 6.733333 6.278540 1.373333 NA 9.850000 4.145833 7.925000
## 16 9.158333 8.450261 1.456667 NA 12.941670 5.850833 7.783333
## 17 10.766670 8.687349 1.035833 NA 11.058330 5.225833 7.025000
## 18 11.875000 7.868845 0.650833 NA 8.983333 4.389167 6.341667
## 19 12.008330 8.083348 0.656667 17.34898 8.300000 4.236667 6.325000
## 20 13.125000 8.108920 0.723333 15.84708 8.866667 4.175833 6.508333
## 21 13.083330 8.037790 0.839167 15.02064 9.891667 3.958333 6.625000
## 22 12.275000 7.495227 0.882500 15.22135 10.316670 3.785833 7.525000
## 23 11.183330 7.054738 0.986667 15.49917 10.883330 3.920833 7.875000
## 24 9.475000 6.781221 1.173333 15.35386 10.933330 3.760833 7.925000
## 25 8.258333 6.439414 1.060000 15.45692 10.941670 3.709167 8.366667
## 26 7.641667 6.923199 0.986667 15.16062 13.733330 3.730000 8.925000
## 27 8.725000 8.518401 NA 16.68858 13.141670 3.849167 10.350000
## 28 7.608333 8.869389 NA 17.57617 12.025000 3.951667 9.366667
## 29 5.783333 7.470880 1.338333 15.47428 10.483330 3.669167 7.875000
## 30 4.941667 7.679193 0.979167 15.97414 9.383333 3.479167 8.325000
## 31 NA NA NA NA NA NA NA
## United.States Venezuela..RB Viet.Nam World..WBG.members. South.Africa
## 1 NA NA NA NA NA
## 2 5.591667 NA NA NA NA
## 3 5.408333 NA NA NA NA
## 4 4.941667 NA NA NA NA
## 5 4.500000 NA NA NA NA
## 6 4.216667 14.503670 NA NA NA
## 7 3.966667 13.981880 NA NA NA
## 8 4.741667 13.352400 NA NA 26.05511
## 9 5.783333 16.229960 NA 8.421016 27.83813
## 10 5.991667 18.074330 NA 8.359090 27.56754
## 11 5.541667 14.996840 NA 7.960626 25.09254
## 12 5.083333 12.195670 NA 7.560700 24.63184
## 13 4.608333 9.944667 NA 6.898368 23.48725
## 14 4.616667 8.454346 NA 6.362066 22.88495
## 15 5.800000 7.340996 2.38 6.494312 22.46910
## 16 9.283333 7.896865 2.90 8.016663 23.66905
## 17 9.608333 8.512560 2.91 8.040930 24.84062
## 18 8.933333 8.182989 2.22 7.789569 24.78783
## 19 8.075000 7.801805 1.95 7.723256 24.88034
## 20 7.358333 7.518473 2.17 7.755923 24.73059
## 21 6.158333 6.921237 2.10 7.407497 25.10001
## 22 5.275000 6.809548 2.34 7.228652 25.33599
## 23 4.875000 7.284966 2.29 7.299880 26.70138
## 24 4.358333 7.183809 2.22 7.085289 27.41029
## 25 3.891667 6.908740 2.19 6.649984 27.08909
## 26 3.675000 NA 2.17 6.600923 28.67133
## 27 8.091667 NA 2.48 8.278336 29.15172
## 28 5.350000 NA 3.20 7.441054 34.31483
## 29 3.633333 NA 2.34 6.059352 33.52811
## 30 3.625000 NA 2.28 5.677601 32.39411
## 31 4.000000 NA NA NA NAUMp_dataset <- gather(UMp_dataset, key="country",value= "unemployees_rate", 3:79)
UMp_dataset## year Advanced.Economies country
## 1 NA NA Argentina
## 2 1995 7.354386 Argentina
## 3 1996 7.322514 Argentina
## 4 1997 7.023768 Argentina
## 5 1998 6.647258 Argentina
## 6 1999 6.325752 Argentina
## 7 2000 5.845738 Argentina
## 8 2001 5.990523 Argentina
## 9 2002 6.550369 Argentina
## 10 2003 6.762772 Argentina
## 11 2004 6.528094 Argentina
## 12 2005 6.193322 Argentina
## 13 2006 5.750215 Argentina
## 14 2007 5.503190 Argentina
## 15 2008 5.913614 Argentina
## 16 2009 8.135153 Argentina
## 17 2010 8.446607 Argentina
## 18 2011 8.155387 Argentina
## 19 2012 8.279416 Argentina
## 20 2013 8.233751 Argentina
## 21 2014 7.600981 Argentina
## 22 2015 6.988355 Argentina
## 23 2016 6.513791 Argentina
## 24 2017 5.908083 Argentina
## 25 2018 5.356592 Argentina
## 26 2019 5.037348 Argentina
## 27 2020 6.891537 Argentina
## 28 2021 5.826441 Argentina
## 29 2022 4.653036 Argentina
## 30 2023 4.564668 Argentina
## 31 2024 NA Argentina
## 32 NA NA Australia
## 33 1995 7.354386 Australia
## 34 1996 7.322514 Australia
## 35 1997 7.023768 Australia
## 36 1998 6.647258 Australia
## 37 1999 6.325752 Australia
## 38 2000 5.845738 Australia
## 39 2001 5.990523 Australia
## 40 2002 6.550369 Australia
## 41 2003 6.762772 Australia
## 42 2004 6.528094 Australia
## 43 2005 6.193322 Australia
## 44 2006 5.750215 Australia
## 45 2007 5.503190 Australia
## 46 2008 5.913614 Australia
## 47 2009 8.135153 Australia
## 48 2010 8.446607 Australia
## 49 2011 8.155387 Australia
## 50 2012 8.279416 Australia
## 51 2013 8.233751 Australia
## 52 2014 7.600981 Australia
## 53 2015 6.988355 Australia
## 54 2016 6.513791 Australia
## 55 2017 5.908083 Australia
## 56 2018 5.356592 Australia
## 57 2019 5.037348 Australia
## 58 2020 6.891537 Australia
## 59 2021 5.826441 Australia
## 60 2022 4.653036 Australia
## 61 2023 4.564668 Australia
## 62 2024 NA Australia
## 63 NA NA Austria
## 64 1995 7.354386 Austria
## 65 1996 7.322514 Austria
## 66 1997 7.023768 Austria
## 67 1998 6.647258 Austria
## 68 1999 6.325752 Austria
## 69 2000 5.845738 Austria
## 70 2001 5.990523 Austria
## 71 2002 6.550369 Austria
## 72 2003 6.762772 Austria
## 73 2004 6.528094 Austria
## 74 2005 6.193322 Austria
## 75 2006 5.750215 Austria
## 76 2007 5.503190 Austria
## 77 2008 5.913614 Austria
## 78 2009 8.135153 Austria
## 79 2010 8.446607 Austria
## 80 2011 8.155387 Austria
## 81 2012 8.279416 Austria
## 82 2013 8.233751 Austria
## 83 2014 7.600981 Austria
## 84 2015 6.988355 Austria
## 85 2016 6.513791 Austria
## 86 2017 5.908083 Austria
## 87 2018 5.356592 Austria
## 88 2019 5.037348 Austria
## 89 2020 6.891537 Austria
## 90 2021 5.826441 Austria
## 91 2022 4.653036 Austria
## 92 2023 4.564668 Austria
## 93 2024 NA Austria
## 94 NA NA Belgium
## 95 1995 7.354386 Belgium
## 96 1996 7.322514 Belgium
## 97 1997 7.023768 Belgium
## 98 1998 6.647258 Belgium
## 99 1999 6.325752 Belgium
## 100 2000 5.845738 Belgium
## 101 2001 5.990523 Belgium
## 102 2002 6.550369 Belgium
## 103 2003 6.762772 Belgium
## 104 2004 6.528094 Belgium
## 105 2005 6.193322 Belgium
## 106 2006 5.750215 Belgium
## 107 2007 5.503190 Belgium
## 108 2008 5.913614 Belgium
## 109 2009 8.135153 Belgium
## 110 2010 8.446607 Belgium
## 111 2011 8.155387 Belgium
## 112 2012 8.279416 Belgium
## 113 2013 8.233751 Belgium
## 114 2014 7.600981 Belgium
## 115 2015 6.988355 Belgium
## 116 2016 6.513791 Belgium
## 117 2017 5.908083 Belgium
## 118 2018 5.356592 Belgium
## 119 2019 5.037348 Belgium
## 120 2020 6.891537 Belgium
## 121 2021 5.826441 Belgium
## 122 2022 4.653036 Belgium
## 123 2023 4.564668 Belgium
## 124 2024 NA Belgium
## 125 NA NA Bulgaria
## 126 1995 7.354386 Bulgaria
## 127 1996 7.322514 Bulgaria
## 128 1997 7.023768 Bulgaria
## 129 1998 6.647258 Bulgaria
## 130 1999 6.325752 Bulgaria
## 131 2000 5.845738 Bulgaria
## 132 2001 5.990523 Bulgaria
## 133 2002 6.550369 Bulgaria
## 134 2003 6.762772 Bulgaria
## 135 2004 6.528094 Bulgaria
## 136 2005 6.193322 Bulgaria
## 137 2006 5.750215 Bulgaria
## 138 2007 5.503190 Bulgaria
## 139 2008 5.913614 Bulgaria
## 140 2009 8.135153 Bulgaria
## 141 2010 8.446607 Bulgaria
## 142 2011 8.155387 Bulgaria
## 143 2012 8.279416 Bulgaria
## 144 2013 8.233751 Bulgaria
## 145 2014 7.600981 Bulgaria
## 146 2015 6.988355 Bulgaria
## 147 2016 6.513791 Bulgaria
## 148 2017 5.908083 Bulgaria
## 149 2018 5.356592 Bulgaria
## 150 2019 5.037348 Bulgaria
## 151 2020 6.891537 Bulgaria
## 152 2021 5.826441 Bulgaria
## 153 2022 4.653036 Bulgaria
## 154 2023 4.564668 Bulgaria
## 155 2024 NA Bulgaria
## 156 NA NA Bahrain
## 157 1995 7.354386 Bahrain
## 158 1996 7.322514 Bahrain
## 159 1997 7.023768 Bahrain
## 160 1998 6.647258 Bahrain
## 161 1999 6.325752 Bahrain
## 162 2000 5.845738 Bahrain
## 163 2001 5.990523 Bahrain
## 164 2002 6.550369 Bahrain
## 165 2003 6.762772 Bahrain
## 166 2004 6.528094 Bahrain
## 167 2005 6.193322 Bahrain
## 168 2006 5.750215 Bahrain
## 169 2007 5.503190 Bahrain
## 170 2008 5.913614 Bahrain
## 171 2009 8.135153 Bahrain
## 172 2010 8.446607 Bahrain
## 173 2011 8.155387 Bahrain
## 174 2012 8.279416 Bahrain
## 175 2013 8.233751 Bahrain
## 176 2014 7.600981 Bahrain
## 177 2015 6.988355 Bahrain
## 178 2016 6.513791 Bahrain
## 179 2017 5.908083 Bahrain
## 180 2018 5.356592 Bahrain
## 181 2019 5.037348 Bahrain
## 182 2020 6.891537 Bahrain
## 183 2021 5.826441 Bahrain
## 184 2022 4.653036 Bahrain
## 185 2023 4.564668 Bahrain
## 186 2024 NA Bahrain
## 187 NA NA Belarus
## 188 1995 7.354386 Belarus
## 189 1996 7.322514 Belarus
## 190 1997 7.023768 Belarus
## 191 1998 6.647258 Belarus
## 192 1999 6.325752 Belarus
## 193 2000 5.845738 Belarus
## 194 2001 5.990523 Belarus
## 195 2002 6.550369 Belarus
## 196 2003 6.762772 Belarus
## 197 2004 6.528094 Belarus
## 198 2005 6.193322 Belarus
## 199 2006 5.750215 Belarus
## 200 2007 5.503190 Belarus
## 201 2008 5.913614 Belarus
## 202 2009 8.135153 Belarus
## 203 2010 8.446607 Belarus
## 204 2011 8.155387 Belarus
## 205 2012 8.279416 Belarus
## 206 2013 8.233751 Belarus
## 207 2014 7.600981 Belarus
## 208 2015 6.988355 Belarus
## 209 2016 6.513791 Belarus
## 210 2017 5.908083 Belarus
## 211 2018 5.356592 Belarus
## 212 2019 5.037348 Belarus
## 213 2020 6.891537 Belarus
## 214 2021 5.826441 Belarus
## 215 2022 4.653036 Belarus
## 216 2023 4.564668 Belarus
## 217 2024 NA Belarus
## 218 NA NA Brazil
## 219 1995 7.354386 Brazil
## 220 1996 7.322514 Brazil
## 221 1997 7.023768 Brazil
## 222 1998 6.647258 Brazil
## 223 1999 6.325752 Brazil
## 224 2000 5.845738 Brazil
## 225 2001 5.990523 Brazil
## 226 2002 6.550369 Brazil
## 227 2003 6.762772 Brazil
## 228 2004 6.528094 Brazil
## 229 2005 6.193322 Brazil
## 230 2006 5.750215 Brazil
## 231 2007 5.503190 Brazil
## 232 2008 5.913614 Brazil
## 233 2009 8.135153 Brazil
## 234 2010 8.446607 Brazil
## 235 2011 8.155387 Brazil
## 236 2012 8.279416 Brazil
## 237 2013 8.233751 Brazil
## 238 2014 7.600981 Brazil
## 239 2015 6.988355 Brazil
## 240 2016 6.513791 Brazil
## 241 2017 5.908083 Brazil
## 242 2018 5.356592 Brazil
## 243 2019 5.037348 Brazil
## 244 2020 6.891537 Brazil
## 245 2021 5.826441 Brazil
## 246 2022 4.653036 Brazil
## 247 2023 4.564668 Brazil
## 248 2024 NA Brazil
## 249 NA NA Canada
## 250 1995 7.354386 Canada
## 251 1996 7.322514 Canada
## 252 1997 7.023768 Canada
## 253 1998 6.647258 Canada
## 254 1999 6.325752 Canada
## 255 2000 5.845738 Canada
## 256 2001 5.990523 Canada
## 257 2002 6.550369 Canada
## 258 2003 6.762772 Canada
## 259 2004 6.528094 Canada
## 260 2005 6.193322 Canada
## 261 2006 5.750215 Canada
## 262 2007 5.503190 Canada
## 263 2008 5.913614 Canada
## 264 2009 8.135153 Canada
## 265 2010 8.446607 Canada
## 266 2011 8.155387 Canada
## 267 2012 8.279416 Canada
## 268 2013 8.233751 Canada
## 269 2014 7.600981 Canada
## 270 2015 6.988355 Canada
## 271 2016 6.513791 Canada
## 272 2017 5.908083 Canada
## 273 2018 5.356592 Canada
## 274 2019 5.037348 Canada
## 275 2020 6.891537 Canada
## 276 2021 5.826441 Canada
## 277 2022 4.653036 Canada
## 278 2023 4.564668 Canada
## 279 2024 NA Canada
## 280 NA NA Switzerland
## 281 1995 7.354386 Switzerland
## 282 1996 7.322514 Switzerland
## 283 1997 7.023768 Switzerland
## 284 1998 6.647258 Switzerland
## 285 1999 6.325752 Switzerland
## 286 2000 5.845738 Switzerland
## 287 2001 5.990523 Switzerland
## 288 2002 6.550369 Switzerland
## 289 2003 6.762772 Switzerland
## 290 2004 6.528094 Switzerland
## 291 2005 6.193322 Switzerland
## 292 2006 5.750215 Switzerland
## 293 2007 5.503190 Switzerland
## 294 2008 5.913614 Switzerland
## 295 2009 8.135153 Switzerland
## 296 2010 8.446607 Switzerland
## 297 2011 8.155387 Switzerland
## 298 2012 8.279416 Switzerland
## 299 2013 8.233751 Switzerland
## 300 2014 7.600981 Switzerland
## 301 2015 6.988355 Switzerland
## 302 2016 6.513791 Switzerland
## 303 2017 5.908083 Switzerland
## 304 2018 5.356592 Switzerland
## 305 2019 5.037348 Switzerland
## 306 2020 6.891537 Switzerland
## 307 2021 5.826441 Switzerland
## 308 2022 4.653036 Switzerland
## 309 2023 4.564668 Switzerland
## 310 2024 NA Switzerland
## 311 NA NA Chile
## 312 1995 7.354386 Chile
## 313 1996 7.322514 Chile
## 314 1997 7.023768 Chile
## 315 1998 6.647258 Chile
## 316 1999 6.325752 Chile
## 317 2000 5.845738 Chile
## 318 2001 5.990523 Chile
## 319 2002 6.550369 Chile
## 320 2003 6.762772 Chile
## 321 2004 6.528094 Chile
## 322 2005 6.193322 Chile
## 323 2006 5.750215 Chile
## 324 2007 5.503190 Chile
## 325 2008 5.913614 Chile
## 326 2009 8.135153 Chile
## 327 2010 8.446607 Chile
## 328 2011 8.155387 Chile
## 329 2012 8.279416 Chile
## 330 2013 8.233751 Chile
## 331 2014 7.600981 Chile
## 332 2015 6.988355 Chile
## 333 2016 6.513791 Chile
## 334 2017 5.908083 Chile
## 335 2018 5.356592 Chile
## 336 2019 5.037348 Chile
## 337 2020 6.891537 Chile
## 338 2021 5.826441 Chile
## 339 2022 4.653036 Chile
## 340 2023 4.564668 Chile
## 341 2024 NA Chile
## 342 NA NA Colombia
## 343 1995 7.354386 Colombia
## 344 1996 7.322514 Colombia
## 345 1997 7.023768 Colombia
## 346 1998 6.647258 Colombia
## 347 1999 6.325752 Colombia
## 348 2000 5.845738 Colombia
## 349 2001 5.990523 Colombia
## 350 2002 6.550369 Colombia
## 351 2003 6.762772 Colombia
## 352 2004 6.528094 Colombia
## 353 2005 6.193322 Colombia
## 354 2006 5.750215 Colombia
## 355 2007 5.503190 Colombia
## 356 2008 5.913614 Colombia
## 357 2009 8.135153 Colombia
## 358 2010 8.446607 Colombia
## 359 2011 8.155387 Colombia
## 360 2012 8.279416 Colombia
## 361 2013 8.233751 Colombia
## 362 2014 7.600981 Colombia
## 363 2015 6.988355 Colombia
## 364 2016 6.513791 Colombia
## 365 2017 5.908083 Colombia
## 366 2018 5.356592 Colombia
## 367 2019 5.037348 Colombia
## 368 2020 6.891537 Colombia
## 369 2021 5.826441 Colombia
## 370 2022 4.653036 Colombia
## 371 2023 4.564668 Colombia
## 372 2024 NA Colombia
## 373 NA NA Cyprus
## 374 1995 7.354386 Cyprus
## 375 1996 7.322514 Cyprus
## 376 1997 7.023768 Cyprus
## 377 1998 6.647258 Cyprus
## 378 1999 6.325752 Cyprus
## 379 2000 5.845738 Cyprus
## 380 2001 5.990523 Cyprus
## 381 2002 6.550369 Cyprus
## 382 2003 6.762772 Cyprus
## 383 2004 6.528094 Cyprus
## 384 2005 6.193322 Cyprus
## 385 2006 5.750215 Cyprus
## 386 2007 5.503190 Cyprus
## 387 2008 5.913614 Cyprus
## 388 2009 8.135153 Cyprus
## 389 2010 8.446607 Cyprus
## 390 2011 8.155387 Cyprus
## 391 2012 8.279416 Cyprus
## 392 2013 8.233751 Cyprus
## 393 2014 7.600981 Cyprus
## 394 2015 6.988355 Cyprus
## 395 2016 6.513791 Cyprus
## 396 2017 5.908083 Cyprus
## 397 2018 5.356592 Cyprus
## 398 2019 5.037348 Cyprus
## 399 2020 6.891537 Cyprus
## 400 2021 5.826441 Cyprus
## 401 2022 4.653036 Cyprus
## 402 2023 4.564668 Cyprus
## 403 2024 NA Cyprus
## 404 NA NA Czech.Republic
## 405 1995 7.354386 Czech.Republic
## 406 1996 7.322514 Czech.Republic
## 407 1997 7.023768 Czech.Republic
## 408 1998 6.647258 Czech.Republic
## 409 1999 6.325752 Czech.Republic
## 410 2000 5.845738 Czech.Republic
## 411 2001 5.990523 Czech.Republic
## 412 2002 6.550369 Czech.Republic
## 413 2003 6.762772 Czech.Republic
## 414 2004 6.528094 Czech.Republic
## 415 2005 6.193322 Czech.Republic
## 416 2006 5.750215 Czech.Republic
## 417 2007 5.503190 Czech.Republic
## 418 2008 5.913614 Czech.Republic
## 419 2009 8.135153 Czech.Republic
## 420 2010 8.446607 Czech.Republic
## 421 2011 8.155387 Czech.Republic
## 422 2012 8.279416 Czech.Republic
## 423 2013 8.233751 Czech.Republic
## 424 2014 7.600981 Czech.Republic
## 425 2015 6.988355 Czech.Republic
## 426 2016 6.513791 Czech.Republic
## 427 2017 5.908083 Czech.Republic
## 428 2018 5.356592 Czech.Republic
## 429 2019 5.037348 Czech.Republic
## 430 2020 6.891537 Czech.Republic
## 431 2021 5.826441 Czech.Republic
## 432 2022 4.653036 Czech.Republic
## 433 2023 4.564668 Czech.Republic
## 434 2024 NA Czech.Republic
## 435 NA NA Germany
## 436 1995 7.354386 Germany
## 437 1996 7.322514 Germany
## 438 1997 7.023768 Germany
## 439 1998 6.647258 Germany
## 440 1999 6.325752 Germany
## 441 2000 5.845738 Germany
## 442 2001 5.990523 Germany
## 443 2002 6.550369 Germany
## 444 2003 6.762772 Germany
## 445 2004 6.528094 Germany
## 446 2005 6.193322 Germany
## 447 2006 5.750215 Germany
## 448 2007 5.503190 Germany
## 449 2008 5.913614 Germany
## 450 2009 8.135153 Germany
## 451 2010 8.446607 Germany
## 452 2011 8.155387 Germany
## 453 2012 8.279416 Germany
## 454 2013 8.233751 Germany
## 455 2014 7.600981 Germany
## 456 2015 6.988355 Germany
## 457 2016 6.513791 Germany
## 458 2017 5.908083 Germany
## 459 2018 5.356592 Germany
## 460 2019 5.037348 Germany
## 461 2020 6.891537 Germany
## 462 2021 5.826441 Germany
## 463 2022 4.653036 Germany
## 464 2023 4.564668 Germany
## 465 2024 NA Germany
## 466 NA NA Denmark
## 467 1995 7.354386 Denmark
## 468 1996 7.322514 Denmark
## 469 1997 7.023768 Denmark
## 470 1998 6.647258 Denmark
## 471 1999 6.325752 Denmark
## 472 2000 5.845738 Denmark
## 473 2001 5.990523 Denmark
## 474 2002 6.550369 Denmark
## 475 2003 6.762772 Denmark
## 476 2004 6.528094 Denmark
## 477 2005 6.193322 Denmark
## 478 2006 5.750215 Denmark
## 479 2007 5.503190 Denmark
## 480 2008 5.913614 Denmark
## 481 2009 8.135153 Denmark
## 482 2010 8.446607 Denmark
## 483 2011 8.155387 Denmark
## 484 2012 8.279416 Denmark
## 485 2013 8.233751 Denmark
## 486 2014 7.600981 Denmark
## 487 2015 6.988355 Denmark
## 488 2016 6.513791 Denmark
## 489 2017 5.908083 Denmark
## 490 2018 5.356592 Denmark
## 491 2019 5.037348 Denmark
## 492 2020 6.891537 Denmark
## 493 2021 5.826441 Denmark
## 494 2022 4.653036 Denmark
## 495 2023 4.564668 Denmark
## 496 2024 NA Denmark
## 497 NA NA Dominican.Republic
## 498 1995 7.354386 Dominican.Republic
## 499 1996 7.322514 Dominican.Republic
## 500 1997 7.023768 Dominican.Republic
## 501 1998 6.647258 Dominican.Republic
## 502 1999 6.325752 Dominican.Republic
## 503 2000 5.845738 Dominican.Republic
## 504 2001 5.990523 Dominican.Republic
## 505 2002 6.550369 Dominican.Republic
## 506 2003 6.762772 Dominican.Republic
## 507 2004 6.528094 Dominican.Republic
## 508 2005 6.193322 Dominican.Republic
## 509 2006 5.750215 Dominican.Republic
## 510 2007 5.503190 Dominican.Republic
## 511 2008 5.913614 Dominican.Republic
## 512 2009 8.135153 Dominican.Republic
## 513 2010 8.446607 Dominican.Republic
## 514 2011 8.155387 Dominican.Republic
## 515 2012 8.279416 Dominican.Republic
## 516 2013 8.233751 Dominican.Republic
## 517 2014 7.600981 Dominican.Republic
## 518 2015 6.988355 Dominican.Republic
## 519 2016 6.513791 Dominican.Republic
## 520 2017 5.908083 Dominican.Republic
## 521 2018 5.356592 Dominican.Republic
## 522 2019 5.037348 Dominican.Republic
## 523 2020 6.891537 Dominican.Republic
## 524 2021 5.826441 Dominican.Republic
## 525 2022 4.653036 Dominican.Republic
## 526 2023 4.564668 Dominican.Republic
## 527 2024 NA Dominican.Republic
## 528 NA NA EMDE.East.Asia...Pacific
## 529 1995 7.354386 EMDE.East.Asia...Pacific
## 530 1996 7.322514 EMDE.East.Asia...Pacific
## 531 1997 7.023768 EMDE.East.Asia...Pacific
## 532 1998 6.647258 EMDE.East.Asia...Pacific
## 533 1999 6.325752 EMDE.East.Asia...Pacific
## 534 2000 5.845738 EMDE.East.Asia...Pacific
## 535 2001 5.990523 EMDE.East.Asia...Pacific
## 536 2002 6.550369 EMDE.East.Asia...Pacific
## 537 2003 6.762772 EMDE.East.Asia...Pacific
## 538 2004 6.528094 EMDE.East.Asia...Pacific
## 539 2005 6.193322 EMDE.East.Asia...Pacific
## 540 2006 5.750215 EMDE.East.Asia...Pacific
## 541 2007 5.503190 EMDE.East.Asia...Pacific
## 542 2008 5.913614 EMDE.East.Asia...Pacific
## 543 2009 8.135153 EMDE.East.Asia...Pacific
## 544 2010 8.446607 EMDE.East.Asia...Pacific
## 545 2011 8.155387 EMDE.East.Asia...Pacific
## 546 2012 8.279416 EMDE.East.Asia...Pacific
## 547 2013 8.233751 EMDE.East.Asia...Pacific
## 548 2014 7.600981 EMDE.East.Asia...Pacific
## 549 2015 6.988355 EMDE.East.Asia...Pacific
## 550 2016 6.513791 EMDE.East.Asia...Pacific
## 551 2017 5.908083 EMDE.East.Asia...Pacific
## 552 2018 5.356592 EMDE.East.Asia...Pacific
## 553 2019 5.037348 EMDE.East.Asia...Pacific
## 554 2020 6.891537 EMDE.East.Asia...Pacific
## 555 2021 5.826441 EMDE.East.Asia...Pacific
## 556 2022 4.653036 EMDE.East.Asia...Pacific
## 557 2023 4.564668 EMDE.East.Asia...Pacific
## 558 2024 NA EMDE.East.Asia...Pacific
## 559 NA NA EMDE.Europe...Central.Asia
## 560 1995 7.354386 EMDE.Europe...Central.Asia
## 561 1996 7.322514 EMDE.Europe...Central.Asia
## 562 1997 7.023768 EMDE.Europe...Central.Asia
## 563 1998 6.647258 EMDE.Europe...Central.Asia
## 564 1999 6.325752 EMDE.Europe...Central.Asia
## 565 2000 5.845738 EMDE.Europe...Central.Asia
## 566 2001 5.990523 EMDE.Europe...Central.Asia
## 567 2002 6.550369 EMDE.Europe...Central.Asia
## 568 2003 6.762772 EMDE.Europe...Central.Asia
## 569 2004 6.528094 EMDE.Europe...Central.Asia
## 570 2005 6.193322 EMDE.Europe...Central.Asia
## 571 2006 5.750215 EMDE.Europe...Central.Asia
## 572 2007 5.503190 EMDE.Europe...Central.Asia
## 573 2008 5.913614 EMDE.Europe...Central.Asia
## 574 2009 8.135153 EMDE.Europe...Central.Asia
## 575 2010 8.446607 EMDE.Europe...Central.Asia
## 576 2011 8.155387 EMDE.Europe...Central.Asia
## 577 2012 8.279416 EMDE.Europe...Central.Asia
## 578 2013 8.233751 EMDE.Europe...Central.Asia
## 579 2014 7.600981 EMDE.Europe...Central.Asia
## 580 2015 6.988355 EMDE.Europe...Central.Asia
## 581 2016 6.513791 EMDE.Europe...Central.Asia
## 582 2017 5.908083 EMDE.Europe...Central.Asia
## 583 2018 5.356592 EMDE.Europe...Central.Asia
## 584 2019 5.037348 EMDE.Europe...Central.Asia
## 585 2020 6.891537 EMDE.Europe...Central.Asia
## 586 2021 5.826441 EMDE.Europe...Central.Asia
## 587 2022 4.653036 EMDE.Europe...Central.Asia
## 588 2023 4.564668 EMDE.Europe...Central.Asia
## 589 2024 NA EMDE.Europe...Central.Asia
## 590 NA NA Ecuador
## 591 1995 7.354386 Ecuador
## 592 1996 7.322514 Ecuador
## 593 1997 7.023768 Ecuador
## 594 1998 6.647258 Ecuador
## 595 1999 6.325752 Ecuador
## 596 2000 5.845738 Ecuador
## 597 2001 5.990523 Ecuador
## 598 2002 6.550369 Ecuador
## 599 2003 6.762772 Ecuador
## 600 2004 6.528094 Ecuador
## 601 2005 6.193322 Ecuador
## 602 2006 5.750215 Ecuador
## 603 2007 5.503190 Ecuador
## 604 2008 5.913614 Ecuador
## 605 2009 8.135153 Ecuador
## 606 2010 8.446607 Ecuador
## 607 2011 8.155387 Ecuador
## 608 2012 8.279416 Ecuador
## 609 2013 8.233751 Ecuador
## 610 2014 7.600981 Ecuador
## 611 2015 6.988355 Ecuador
## 612 2016 6.513791 Ecuador
## 613 2017 5.908083 Ecuador
## 614 2018 5.356592 Ecuador
## 615 2019 5.037348 Ecuador
## 616 2020 6.891537 Ecuador
## 617 2021 5.826441 Ecuador
## 618 2022 4.653036 Ecuador
## 619 2023 4.564668 Ecuador
## 620 2024 NA Ecuador
## 621 NA NA Egypt..Arab.Rep.
## 622 1995 7.354386 Egypt..Arab.Rep.
## 623 1996 7.322514 Egypt..Arab.Rep.
## 624 1997 7.023768 Egypt..Arab.Rep.
## 625 1998 6.647258 Egypt..Arab.Rep.
## 626 1999 6.325752 Egypt..Arab.Rep.
## 627 2000 5.845738 Egypt..Arab.Rep.
## 628 2001 5.990523 Egypt..Arab.Rep.
## 629 2002 6.550369 Egypt..Arab.Rep.
## 630 2003 6.762772 Egypt..Arab.Rep.
## 631 2004 6.528094 Egypt..Arab.Rep.
## 632 2005 6.193322 Egypt..Arab.Rep.
## 633 2006 5.750215 Egypt..Arab.Rep.
## 634 2007 5.503190 Egypt..Arab.Rep.
## 635 2008 5.913614 Egypt..Arab.Rep.
## 636 2009 8.135153 Egypt..Arab.Rep.
## 637 2010 8.446607 Egypt..Arab.Rep.
## 638 2011 8.155387 Egypt..Arab.Rep.
## 639 2012 8.279416 Egypt..Arab.Rep.
## 640 2013 8.233751 Egypt..Arab.Rep.
## 641 2014 7.600981 Egypt..Arab.Rep.
## 642 2015 6.988355 Egypt..Arab.Rep.
## 643 2016 6.513791 Egypt..Arab.Rep.
## 644 2017 5.908083 Egypt..Arab.Rep.
## 645 2018 5.356592 Egypt..Arab.Rep.
## 646 2019 5.037348 Egypt..Arab.Rep.
## 647 2020 6.891537 Egypt..Arab.Rep.
## 648 2021 5.826441 Egypt..Arab.Rep.
## 649 2022 4.653036 Egypt..Arab.Rep.
## 650 2023 4.564668 Egypt..Arab.Rep.
## 651 2024 NA Egypt..Arab.Rep.
## 652 NA NA Emerging.Market.and.Developing.Economies..EMDEs.
## 653 1995 7.354386 Emerging.Market.and.Developing.Economies..EMDEs.
## 654 1996 7.322514 Emerging.Market.and.Developing.Economies..EMDEs.
## 655 1997 7.023768 Emerging.Market.and.Developing.Economies..EMDEs.
## 656 1998 6.647258 Emerging.Market.and.Developing.Economies..EMDEs.
## 657 1999 6.325752 Emerging.Market.and.Developing.Economies..EMDEs.
## 658 2000 5.845738 Emerging.Market.and.Developing.Economies..EMDEs.
## 659 2001 5.990523 Emerging.Market.and.Developing.Economies..EMDEs.
## 660 2002 6.550369 Emerging.Market.and.Developing.Economies..EMDEs.
## 661 2003 6.762772 Emerging.Market.and.Developing.Economies..EMDEs.
## 662 2004 6.528094 Emerging.Market.and.Developing.Economies..EMDEs.
## 663 2005 6.193322 Emerging.Market.and.Developing.Economies..EMDEs.
## 664 2006 5.750215 Emerging.Market.and.Developing.Economies..EMDEs.
## 665 2007 5.503190 Emerging.Market.and.Developing.Economies..EMDEs.
## 666 2008 5.913614 Emerging.Market.and.Developing.Economies..EMDEs.
## 667 2009 8.135153 Emerging.Market.and.Developing.Economies..EMDEs.
## 668 2010 8.446607 Emerging.Market.and.Developing.Economies..EMDEs.
## 669 2011 8.155387 Emerging.Market.and.Developing.Economies..EMDEs.
## 670 2012 8.279416 Emerging.Market.and.Developing.Economies..EMDEs.
## 671 2013 8.233751 Emerging.Market.and.Developing.Economies..EMDEs.
## 672 2014 7.600981 Emerging.Market.and.Developing.Economies..EMDEs.
## 673 2015 6.988355 Emerging.Market.and.Developing.Economies..EMDEs.
## 674 2016 6.513791 Emerging.Market.and.Developing.Economies..EMDEs.
## 675 2017 5.908083 Emerging.Market.and.Developing.Economies..EMDEs.
## 676 2018 5.356592 Emerging.Market.and.Developing.Economies..EMDEs.
## 677 2019 5.037348 Emerging.Market.and.Developing.Economies..EMDEs.
## 678 2020 6.891537 Emerging.Market.and.Developing.Economies..EMDEs.
## 679 2021 5.826441 Emerging.Market.and.Developing.Economies..EMDEs.
## 680 2022 4.653036 Emerging.Market.and.Developing.Economies..EMDEs.
## 681 2023 4.564668 Emerging.Market.and.Developing.Economies..EMDEs.
## 682 2024 NA Emerging.Market.and.Developing.Economies..EMDEs.
## 683 NA NA Spain
## 684 1995 7.354386 Spain
## 685 1996 7.322514 Spain
## 686 1997 7.023768 Spain
## 687 1998 6.647258 Spain
## 688 1999 6.325752 Spain
## 689 2000 5.845738 Spain
## 690 2001 5.990523 Spain
## 691 2002 6.550369 Spain
## 692 2003 6.762772 Spain
## 693 2004 6.528094 Spain
## 694 2005 6.193322 Spain
## 695 2006 5.750215 Spain
## 696 2007 5.503190 Spain
## 697 2008 5.913614 Spain
## 698 2009 8.135153 Spain
## 699 2010 8.446607 Spain
## 700 2011 8.155387 Spain
## 701 2012 8.279416 Spain
## 702 2013 8.233751 Spain
## 703 2014 7.600981 Spain
## 704 2015 6.988355 Spain
## 705 2016 6.513791 Spain
## 706 2017 5.908083 Spain
## 707 2018 5.356592 Spain
## 708 2019 5.037348 Spain
## 709 2020 6.891537 Spain
## 710 2021 5.826441 Spain
## 711 2022 4.653036 Spain
## 712 2023 4.564668 Spain
## 713 2024 NA Spain
## 714 NA NA Estonia
## 715 1995 7.354386 Estonia
## 716 1996 7.322514 Estonia
## 717 1997 7.023768 Estonia
## 718 1998 6.647258 Estonia
## 719 1999 6.325752 Estonia
## 720 2000 5.845738 Estonia
## 721 2001 5.990523 Estonia
## 722 2002 6.550369 Estonia
## 723 2003 6.762772 Estonia
## 724 2004 6.528094 Estonia
## 725 2005 6.193322 Estonia
## 726 2006 5.750215 Estonia
## 727 2007 5.503190 Estonia
## 728 2008 5.913614 Estonia
## 729 2009 8.135153 Estonia
## 730 2010 8.446607 Estonia
## 731 2011 8.155387 Estonia
## 732 2012 8.279416 Estonia
## 733 2013 8.233751 Estonia
## 734 2014 7.600981 Estonia
## 735 2015 6.988355 Estonia
## 736 2016 6.513791 Estonia
## 737 2017 5.908083 Estonia
## 738 2018 5.356592 Estonia
## 739 2019 5.037348 Estonia
## 740 2020 6.891537 Estonia
## 741 2021 5.826441 Estonia
## 742 2022 4.653036 Estonia
## 743 2023 4.564668 Estonia
## 744 2024 NA Estonia
## 745 NA NA Finland
## 746 1995 7.354386 Finland
## 747 1996 7.322514 Finland
## 748 1997 7.023768 Finland
## 749 1998 6.647258 Finland
## 750 1999 6.325752 Finland
## 751 2000 5.845738 Finland
## 752 2001 5.990523 Finland
## 753 2002 6.550369 Finland
## 754 2003 6.762772 Finland
## 755 2004 6.528094 Finland
## 756 2005 6.193322 Finland
## 757 2006 5.750215 Finland
## 758 2007 5.503190 Finland
## 759 2008 5.913614 Finland
## 760 2009 8.135153 Finland
## 761 2010 8.446607 Finland
## 762 2011 8.155387 Finland
## 763 2012 8.279416 Finland
## 764 2013 8.233751 Finland
## 765 2014 7.600981 Finland
## 766 2015 6.988355 Finland
## 767 2016 6.513791 Finland
## 768 2017 5.908083 Finland
## 769 2018 5.356592 Finland
## 770 2019 5.037348 Finland
## 771 2020 6.891537 Finland
## 772 2021 5.826441 Finland
## 773 2022 4.653036 Finland
## 774 2023 4.564668 Finland
## 775 2024 NA Finland
## 776 NA NA France
## 777 1995 7.354386 France
## 778 1996 7.322514 France
## 779 1997 7.023768 France
## 780 1998 6.647258 France
## 781 1999 6.325752 France
## 782 2000 5.845738 France
## 783 2001 5.990523 France
## 784 2002 6.550369 France
## 785 2003 6.762772 France
## 786 2004 6.528094 France
## 787 2005 6.193322 France
## 788 2006 5.750215 France
## 789 2007 5.503190 France
## 790 2008 5.913614 France
## 791 2009 8.135153 France
## 792 2010 8.446607 France
## 793 2011 8.155387 France
## 794 2012 8.279416 France
## 795 2013 8.233751 France
## 796 2014 7.600981 France
## 797 2015 6.988355 France
## 798 2016 6.513791 France
## 799 2017 5.908083 France
## 800 2018 5.356592 France
## 801 2019 5.037348 France
## 802 2020 6.891537 France
## 803 2021 5.826441 France
## 804 2022 4.653036 France
## 805 2023 4.564668 France
## 806 2024 NA France
## 807 NA NA United.Kingdom
## 808 1995 7.354386 United.Kingdom
## 809 1996 7.322514 United.Kingdom
## 810 1997 7.023768 United.Kingdom
## 811 1998 6.647258 United.Kingdom
## 812 1999 6.325752 United.Kingdom
## 813 2000 5.845738 United.Kingdom
## 814 2001 5.990523 United.Kingdom
## 815 2002 6.550369 United.Kingdom
## 816 2003 6.762772 United.Kingdom
## 817 2004 6.528094 United.Kingdom
## 818 2005 6.193322 United.Kingdom
## 819 2006 5.750215 United.Kingdom
## 820 2007 5.503190 United.Kingdom
## 821 2008 5.913614 United.Kingdom
## 822 2009 8.135153 United.Kingdom
## 823 2010 8.446607 United.Kingdom
## 824 2011 8.155387 United.Kingdom
## 825 2012 8.279416 United.Kingdom
## 826 2013 8.233751 United.Kingdom
## 827 2014 7.600981 United.Kingdom
## 828 2015 6.988355 United.Kingdom
## 829 2016 6.513791 United.Kingdom
## 830 2017 5.908083 United.Kingdom
## 831 2018 5.356592 United.Kingdom
## 832 2019 5.037348 United.Kingdom
## 833 2020 6.891537 United.Kingdom
## 834 2021 5.826441 United.Kingdom
## 835 2022 4.653036 United.Kingdom
## 836 2023 4.564668 United.Kingdom
## 837 2024 NA United.Kingdom
## 838 NA NA Greece
## 839 1995 7.354386 Greece
## 840 1996 7.322514 Greece
## 841 1997 7.023768 Greece
## 842 1998 6.647258 Greece
## 843 1999 6.325752 Greece
## 844 2000 5.845738 Greece
## 845 2001 5.990523 Greece
## 846 2002 6.550369 Greece
## 847 2003 6.762772 Greece
## 848 2004 6.528094 Greece
## 849 2005 6.193322 Greece
## 850 2006 5.750215 Greece
## 851 2007 5.503190 Greece
## 852 2008 5.913614 Greece
## 853 2009 8.135153 Greece
## 854 2010 8.446607 Greece
## 855 2011 8.155387 Greece
## 856 2012 8.279416 Greece
## 857 2013 8.233751 Greece
## 858 2014 7.600981 Greece
## 859 2015 6.988355 Greece
## 860 2016 6.513791 Greece
## 861 2017 5.908083 Greece
## 862 2018 5.356592 Greece
## 863 2019 5.037348 Greece
## 864 2020 6.891537 Greece
## 865 2021 5.826441 Greece
## 866 2022 4.653036 Greece
## 867 2023 4.564668 Greece
## 868 2024 NA Greece
## 869 NA NA High.Income.Countries
## 870 1995 7.354386 High.Income.Countries
## 871 1996 7.322514 High.Income.Countries
## 872 1997 7.023768 High.Income.Countries
## 873 1998 6.647258 High.Income.Countries
## 874 1999 6.325752 High.Income.Countries
## 875 2000 5.845738 High.Income.Countries
## 876 2001 5.990523 High.Income.Countries
## 877 2002 6.550369 High.Income.Countries
## 878 2003 6.762772 High.Income.Countries
## 879 2004 6.528094 High.Income.Countries
## 880 2005 6.193322 High.Income.Countries
## 881 2006 5.750215 High.Income.Countries
## 882 2007 5.503190 High.Income.Countries
## 883 2008 5.913614 High.Income.Countries
## 884 2009 8.135153 High.Income.Countries
## 885 2010 8.446607 High.Income.Countries
## 886 2011 8.155387 High.Income.Countries
## 887 2012 8.279416 High.Income.Countries
## 888 2013 8.233751 High.Income.Countries
## 889 2014 7.600981 High.Income.Countries
## 890 2015 6.988355 High.Income.Countries
## 891 2016 6.513791 High.Income.Countries
## 892 2017 5.908083 High.Income.Countries
## 893 2018 5.356592 High.Income.Countries
## 894 2019 5.037348 High.Income.Countries
## 895 2020 6.891537 High.Income.Countries
## 896 2021 5.826441 High.Income.Countries
## 897 2022 4.653036 High.Income.Countries
## 898 2023 4.564668 High.Income.Countries
## 899 2024 NA High.Income.Countries
## 900 NA NA Hong.Kong.SAR..China
## 901 1995 7.354386 Hong.Kong.SAR..China
## 902 1996 7.322514 Hong.Kong.SAR..China
## 903 1997 7.023768 Hong.Kong.SAR..China
## 904 1998 6.647258 Hong.Kong.SAR..China
## 905 1999 6.325752 Hong.Kong.SAR..China
## 906 2000 5.845738 Hong.Kong.SAR..China
## 907 2001 5.990523 Hong.Kong.SAR..China
## 908 2002 6.550369 Hong.Kong.SAR..China
## 909 2003 6.762772 Hong.Kong.SAR..China
## 910 2004 6.528094 Hong.Kong.SAR..China
## 911 2005 6.193322 Hong.Kong.SAR..China
## 912 2006 5.750215 Hong.Kong.SAR..China
## 913 2007 5.503190 Hong.Kong.SAR..China
## 914 2008 5.913614 Hong.Kong.SAR..China
## 915 2009 8.135153 Hong.Kong.SAR..China
## 916 2010 8.446607 Hong.Kong.SAR..China
## 917 2011 8.155387 Hong.Kong.SAR..China
## 918 2012 8.279416 Hong.Kong.SAR..China
## 919 2013 8.233751 Hong.Kong.SAR..China
## 920 2014 7.600981 Hong.Kong.SAR..China
## 921 2015 6.988355 Hong.Kong.SAR..China
## 922 2016 6.513791 Hong.Kong.SAR..China
## 923 2017 5.908083 Hong.Kong.SAR..China
## 924 2018 5.356592 Hong.Kong.SAR..China
## 925 2019 5.037348 Hong.Kong.SAR..China
## 926 2020 6.891537 Hong.Kong.SAR..China
## 927 2021 5.826441 Hong.Kong.SAR..China
## 928 2022 4.653036 Hong.Kong.SAR..China
## 929 2023 4.564668 Hong.Kong.SAR..China
## 930 2024 NA Hong.Kong.SAR..China
## 931 NA NA Croatia
## 932 1995 7.354386 Croatia
## 933 1996 7.322514 Croatia
## 934 1997 7.023768 Croatia
## 935 1998 6.647258 Croatia
## 936 1999 6.325752 Croatia
## 937 2000 5.845738 Croatia
## 938 2001 5.990523 Croatia
## 939 2002 6.550369 Croatia
## 940 2003 6.762772 Croatia
## 941 2004 6.528094 Croatia
## 942 2005 6.193322 Croatia
## 943 2006 5.750215 Croatia
## 944 2007 5.503190 Croatia
## 945 2008 5.913614 Croatia
## 946 2009 8.135153 Croatia
## 947 2010 8.446607 Croatia
## 948 2011 8.155387 Croatia
## 949 2012 8.279416 Croatia
## 950 2013 8.233751 Croatia
## 951 2014 7.600981 Croatia
## 952 2015 6.988355 Croatia
## 953 2016 6.513791 Croatia
## 954 2017 5.908083 Croatia
## 955 2018 5.356592 Croatia
## 956 2019 5.037348 Croatia
## 957 2020 6.891537 Croatia
## 958 2021 5.826441 Croatia
## 959 2022 4.653036 Croatia
## 960 2023 4.564668 Croatia
## 961 2024 NA Croatia
## 962 NA NA Hungary
## 963 1995 7.354386 Hungary
## 964 1996 7.322514 Hungary
## 965 1997 7.023768 Hungary
## 966 1998 6.647258 Hungary
## 967 1999 6.325752 Hungary
## 968 2000 5.845738 Hungary
## 969 2001 5.990523 Hungary
## 970 2002 6.550369 Hungary
## 971 2003 6.762772 Hungary
## 972 2004 6.528094 Hungary
## 973 2005 6.193322 Hungary
## 974 2006 5.750215 Hungary
## 975 2007 5.503190 Hungary
## 976 2008 5.913614 Hungary
## 977 2009 8.135153 Hungary
## 978 2010 8.446607 Hungary
## 979 2011 8.155387 Hungary
## 980 2012 8.279416 Hungary
## 981 2013 8.233751 Hungary
## 982 2014 7.600981 Hungary
## 983 2015 6.988355 Hungary
## 984 2016 6.513791 Hungary
## 985 2017 5.908083 Hungary
## 986 2018 5.356592 Hungary
## 987 2019 5.037348 Hungary
## 988 2020 6.891537 Hungary
## 989 2021 5.826441 Hungary
## 990 2022 4.653036 Hungary
## 991 2023 4.564668 Hungary
## 992 2024 NA Hungary
## 993 NA NA Ireland
## 994 1995 7.354386 Ireland
## 995 1996 7.322514 Ireland
## 996 1997 7.023768 Ireland
## 997 1998 6.647258 Ireland
## 998 1999 6.325752 Ireland
## 999 2000 5.845738 Ireland
## 1000 2001 5.990523 Ireland
## 1001 2002 6.550369 Ireland
## 1002 2003 6.762772 Ireland
## 1003 2004 6.528094 Ireland
## 1004 2005 6.193322 Ireland
## 1005 2006 5.750215 Ireland
## 1006 2007 5.503190 Ireland
## 1007 2008 5.913614 Ireland
## 1008 2009 8.135153 Ireland
## 1009 2010 8.446607 Ireland
## 1010 2011 8.155387 Ireland
## 1011 2012 8.279416 Ireland
## 1012 2013 8.233751 Ireland
## 1013 2014 7.600981 Ireland
## 1014 2015 6.988355 Ireland
## 1015 2016 6.513791 Ireland
## 1016 2017 5.908083 Ireland
## 1017 2018 5.356592 Ireland
## 1018 2019 5.037348 Ireland
## 1019 2020 6.891537 Ireland
## 1020 2021 5.826441 Ireland
## 1021 2022 4.653036 Ireland
## 1022 2023 4.564668 Ireland
## 1023 2024 NA Ireland
## 1024 NA NA Iceland
## 1025 1995 7.354386 Iceland
## 1026 1996 7.322514 Iceland
## 1027 1997 7.023768 Iceland
## 1028 1998 6.647258 Iceland
## 1029 1999 6.325752 Iceland
## 1030 2000 5.845738 Iceland
## 1031 2001 5.990523 Iceland
## 1032 2002 6.550369 Iceland
## 1033 2003 6.762772 Iceland
## 1034 2004 6.528094 Iceland
## 1035 2005 6.193322 Iceland
## 1036 2006 5.750215 Iceland
## 1037 2007 5.503190 Iceland
## 1038 2008 5.913614 Iceland
## 1039 2009 8.135153 Iceland
## 1040 2010 8.446607 Iceland
## 1041 2011 8.155387 Iceland
## 1042 2012 8.279416 Iceland
## 1043 2013 8.233751 Iceland
## 1044 2014 7.600981 Iceland
## 1045 2015 6.988355 Iceland
## 1046 2016 6.513791 Iceland
## 1047 2017 5.908083 Iceland
## 1048 2018 5.356592 Iceland
## 1049 2019 5.037348 Iceland
## 1050 2020 6.891537 Iceland
## 1051 2021 5.826441 Iceland
## 1052 2022 4.653036 Iceland
## 1053 2023 4.564668 Iceland
## 1054 2024 NA Iceland
## 1055 NA NA Israel
## 1056 1995 7.354386 Israel
## 1057 1996 7.322514 Israel
## 1058 1997 7.023768 Israel
## 1059 1998 6.647258 Israel
## 1060 1999 6.325752 Israel
## 1061 2000 5.845738 Israel
## 1062 2001 5.990523 Israel
## 1063 2002 6.550369 Israel
## 1064 2003 6.762772 Israel
## 1065 2004 6.528094 Israel
## 1066 2005 6.193322 Israel
## 1067 2006 5.750215 Israel
## 1068 2007 5.503190 Israel
## 1069 2008 5.913614 Israel
## 1070 2009 8.135153 Israel
## 1071 2010 8.446607 Israel
## 1072 2011 8.155387 Israel
## 1073 2012 8.279416 Israel
## 1074 2013 8.233751 Israel
## 1075 2014 7.600981 Israel
## 1076 2015 6.988355 Israel
## 1077 2016 6.513791 Israel
## 1078 2017 5.908083 Israel
## 1079 2018 5.356592 Israel
## 1080 2019 5.037348 Israel
## 1081 2020 6.891537 Israel
## 1082 2021 5.826441 Israel
## 1083 2022 4.653036 Israel
## 1084 2023 4.564668 Israel
## 1085 2024 NA Israel
## 1086 NA NA Italy
## 1087 1995 7.354386 Italy
## 1088 1996 7.322514 Italy
## 1089 1997 7.023768 Italy
## 1090 1998 6.647258 Italy
## 1091 1999 6.325752 Italy
## 1092 2000 5.845738 Italy
## 1093 2001 5.990523 Italy
## 1094 2002 6.550369 Italy
## 1095 2003 6.762772 Italy
## 1096 2004 6.528094 Italy
## 1097 2005 6.193322 Italy
## 1098 2006 5.750215 Italy
## 1099 2007 5.503190 Italy
## 1100 2008 5.913614 Italy
## 1101 2009 8.135153 Italy
## 1102 2010 8.446607 Italy
## 1103 2011 8.155387 Italy
## 1104 2012 8.279416 Italy
## 1105 2013 8.233751 Italy
## 1106 2014 7.600981 Italy
## 1107 2015 6.988355 Italy
## 1108 2016 6.513791 Italy
## 1109 2017 5.908083 Italy
## 1110 2018 5.356592 Italy
## 1111 2019 5.037348 Italy
## 1112 2020 6.891537 Italy
## 1113 2021 5.826441 Italy
## 1114 2022 4.653036 Italy
## 1115 2023 4.564668 Italy
## 1116 2024 NA Italy
## 1117 NA NA Japan
## 1118 1995 7.354386 Japan
## 1119 1996 7.322514 Japan
## 1120 1997 7.023768 Japan
## 1121 1998 6.647258 Japan
## 1122 1999 6.325752 Japan
## 1123 2000 5.845738 Japan
## 1124 2001 5.990523 Japan
## 1125 2002 6.550369 Japan
## 1126 2003 6.762772 Japan
## 1127 2004 6.528094 Japan
## 1128 2005 6.193322 Japan
## 1129 2006 5.750215 Japan
## 1130 2007 5.503190 Japan
## 1131 2008 5.913614 Japan
## 1132 2009 8.135153 Japan
## 1133 2010 8.446607 Japan
## 1134 2011 8.155387 Japan
## 1135 2012 8.279416 Japan
## 1136 2013 8.233751 Japan
## 1137 2014 7.600981 Japan
## 1138 2015 6.988355 Japan
## 1139 2016 6.513791 Japan
## 1140 2017 5.908083 Japan
## 1141 2018 5.356592 Japan
## 1142 2019 5.037348 Japan
## 1143 2020 6.891537 Japan
## 1144 2021 5.826441 Japan
## 1145 2022 4.653036 Japan
## 1146 2023 4.564668 Japan
## 1147 2024 NA Japan
## 1148 NA NA Korea..Rep.
## 1149 1995 7.354386 Korea..Rep.
## 1150 1996 7.322514 Korea..Rep.
## 1151 1997 7.023768 Korea..Rep.
## 1152 1998 6.647258 Korea..Rep.
## 1153 1999 6.325752 Korea..Rep.
## 1154 2000 5.845738 Korea..Rep.
## 1155 2001 5.990523 Korea..Rep.
## 1156 2002 6.550369 Korea..Rep.
## 1157 2003 6.762772 Korea..Rep.
## 1158 2004 6.528094 Korea..Rep.
## 1159 2005 6.193322 Korea..Rep.
## 1160 2006 5.750215 Korea..Rep.
## 1161 2007 5.503190 Korea..Rep.
## 1162 2008 5.913614 Korea..Rep.
## 1163 2009 8.135153 Korea..Rep.
## 1164 2010 8.446607 Korea..Rep.
## 1165 2011 8.155387 Korea..Rep.
## 1166 2012 8.279416 Korea..Rep.
## 1167 2013 8.233751 Korea..Rep.
## 1168 2014 7.600981 Korea..Rep.
## 1169 2015 6.988355 Korea..Rep.
## 1170 2016 6.513791 Korea..Rep.
## 1171 2017 5.908083 Korea..Rep.
## 1172 2018 5.356592 Korea..Rep.
## 1173 2019 5.037348 Korea..Rep.
## 1174 2020 6.891537 Korea..Rep.
## 1175 2021 5.826441 Korea..Rep.
## 1176 2022 4.653036 Korea..Rep.
## 1177 2023 4.564668 Korea..Rep.
## 1178 2024 NA Korea..Rep.
## 1179 NA NA EMDE.Latin.America...Caribbean
## 1180 1995 7.354386 EMDE.Latin.America...Caribbean
## 1181 1996 7.322514 EMDE.Latin.America...Caribbean
## 1182 1997 7.023768 EMDE.Latin.America...Caribbean
## 1183 1998 6.647258 EMDE.Latin.America...Caribbean
## 1184 1999 6.325752 EMDE.Latin.America...Caribbean
## 1185 2000 5.845738 EMDE.Latin.America...Caribbean
## 1186 2001 5.990523 EMDE.Latin.America...Caribbean
## 1187 2002 6.550369 EMDE.Latin.America...Caribbean
## 1188 2003 6.762772 EMDE.Latin.America...Caribbean
## 1189 2004 6.528094 EMDE.Latin.America...Caribbean
## 1190 2005 6.193322 EMDE.Latin.America...Caribbean
## 1191 2006 5.750215 EMDE.Latin.America...Caribbean
## 1192 2007 5.503190 EMDE.Latin.America...Caribbean
## 1193 2008 5.913614 EMDE.Latin.America...Caribbean
## 1194 2009 8.135153 EMDE.Latin.America...Caribbean
## 1195 2010 8.446607 EMDE.Latin.America...Caribbean
## 1196 2011 8.155387 EMDE.Latin.America...Caribbean
## 1197 2012 8.279416 EMDE.Latin.America...Caribbean
## 1198 2013 8.233751 EMDE.Latin.America...Caribbean
## 1199 2014 7.600981 EMDE.Latin.America...Caribbean
## 1200 2015 6.988355 EMDE.Latin.America...Caribbean
## 1201 2016 6.513791 EMDE.Latin.America...Caribbean
## 1202 2017 5.908083 EMDE.Latin.America...Caribbean
## 1203 2018 5.356592 EMDE.Latin.America...Caribbean
## 1204 2019 5.037348 EMDE.Latin.America...Caribbean
## 1205 2020 6.891537 EMDE.Latin.America...Caribbean
## 1206 2021 5.826441 EMDE.Latin.America...Caribbean
## 1207 2022 4.653036 EMDE.Latin.America...Caribbean
## 1208 2023 4.564668 EMDE.Latin.America...Caribbean
## 1209 2024 NA EMDE.Latin.America...Caribbean
## 1210 NA NA Low.Income.Countries..LIC.
## 1211 1995 7.354386 Low.Income.Countries..LIC.
## 1212 1996 7.322514 Low.Income.Countries..LIC.
## 1213 1997 7.023768 Low.Income.Countries..LIC.
## 1214 1998 6.647258 Low.Income.Countries..LIC.
## 1215 1999 6.325752 Low.Income.Countries..LIC.
## 1216 2000 5.845738 Low.Income.Countries..LIC.
## 1217 2001 5.990523 Low.Income.Countries..LIC.
## 1218 2002 6.550369 Low.Income.Countries..LIC.
## 1219 2003 6.762772 Low.Income.Countries..LIC.
## 1220 2004 6.528094 Low.Income.Countries..LIC.
## 1221 2005 6.193322 Low.Income.Countries..LIC.
## 1222 2006 5.750215 Low.Income.Countries..LIC.
## 1223 2007 5.503190 Low.Income.Countries..LIC.
## 1224 2008 5.913614 Low.Income.Countries..LIC.
## 1225 2009 8.135153 Low.Income.Countries..LIC.
## 1226 2010 8.446607 Low.Income.Countries..LIC.
## 1227 2011 8.155387 Low.Income.Countries..LIC.
## 1228 2012 8.279416 Low.Income.Countries..LIC.
## 1229 2013 8.233751 Low.Income.Countries..LIC.
## 1230 2014 7.600981 Low.Income.Countries..LIC.
## 1231 2015 6.988355 Low.Income.Countries..LIC.
## 1232 2016 6.513791 Low.Income.Countries..LIC.
## 1233 2017 5.908083 Low.Income.Countries..LIC.
## 1234 2018 5.356592 Low.Income.Countries..LIC.
## 1235 2019 5.037348 Low.Income.Countries..LIC.
## 1236 2020 6.891537 Low.Income.Countries..LIC.
## 1237 2021 5.826441 Low.Income.Countries..LIC.
## 1238 2022 4.653036 Low.Income.Countries..LIC.
## 1239 2023 4.564668 Low.Income.Countries..LIC.
## 1240 2024 NA Low.Income.Countries..LIC.
## 1241 NA NA Sri.Lanka
## 1242 1995 7.354386 Sri.Lanka
## 1243 1996 7.322514 Sri.Lanka
## 1244 1997 7.023768 Sri.Lanka
## 1245 1998 6.647258 Sri.Lanka
## 1246 1999 6.325752 Sri.Lanka
## 1247 2000 5.845738 Sri.Lanka
## 1248 2001 5.990523 Sri.Lanka
## 1249 2002 6.550369 Sri.Lanka
## 1250 2003 6.762772 Sri.Lanka
## 1251 2004 6.528094 Sri.Lanka
## 1252 2005 6.193322 Sri.Lanka
## 1253 2006 5.750215 Sri.Lanka
## 1254 2007 5.503190 Sri.Lanka
## 1255 2008 5.913614 Sri.Lanka
## 1256 2009 8.135153 Sri.Lanka
## 1257 2010 8.446607 Sri.Lanka
## 1258 2011 8.155387 Sri.Lanka
## 1259 2012 8.279416 Sri.Lanka
## 1260 2013 8.233751 Sri.Lanka
## 1261 2014 7.600981 Sri.Lanka
## 1262 2015 6.988355 Sri.Lanka
## 1263 2016 6.513791 Sri.Lanka
## 1264 2017 5.908083 Sri.Lanka
## 1265 2018 5.356592 Sri.Lanka
## 1266 2019 5.037348 Sri.Lanka
## 1267 2020 6.891537 Sri.Lanka
## 1268 2021 5.826441 Sri.Lanka
## 1269 2022 4.653036 Sri.Lanka
## 1270 2023 4.564668 Sri.Lanka
## 1271 2024 NA Sri.Lanka
## 1272 NA NA Lithuania
## 1273 1995 7.354386 Lithuania
## 1274 1996 7.322514 Lithuania
## 1275 1997 7.023768 Lithuania
## 1276 1998 6.647258 Lithuania
## 1277 1999 6.325752 Lithuania
## 1278 2000 5.845738 Lithuania
## 1279 2001 5.990523 Lithuania
## 1280 2002 6.550369 Lithuania
## 1281 2003 6.762772 Lithuania
## 1282 2004 6.528094 Lithuania
## 1283 2005 6.193322 Lithuania
## 1284 2006 5.750215 Lithuania
## 1285 2007 5.503190 Lithuania
## 1286 2008 5.913614 Lithuania
## 1287 2009 8.135153 Lithuania
## 1288 2010 8.446607 Lithuania
## 1289 2011 8.155387 Lithuania
## 1290 2012 8.279416 Lithuania
## 1291 2013 8.233751 Lithuania
## 1292 2014 7.600981 Lithuania
## 1293 2015 6.988355 Lithuania
## 1294 2016 6.513791 Lithuania
## 1295 2017 5.908083 Lithuania
## 1296 2018 5.356592 Lithuania
## 1297 2019 5.037348 Lithuania
## 1298 2020 6.891537 Lithuania
## 1299 2021 5.826441 Lithuania
## 1300 2022 4.653036 Lithuania
## 1301 2023 4.564668 Lithuania
## 1302 2024 NA Lithuania
## 1303 NA NA Luxembourg
## 1304 1995 7.354386 Luxembourg
## 1305 1996 7.322514 Luxembourg
## 1306 1997 7.023768 Luxembourg
## 1307 1998 6.647258 Luxembourg
## 1308 1999 6.325752 Luxembourg
## 1309 2000 5.845738 Luxembourg
## 1310 2001 5.990523 Luxembourg
## 1311 2002 6.550369 Luxembourg
## 1312 2003 6.762772 Luxembourg
## 1313 2004 6.528094 Luxembourg
## 1314 2005 6.193322 Luxembourg
## 1315 2006 5.750215 Luxembourg
## 1316 2007 5.503190 Luxembourg
## 1317 2008 5.913614 Luxembourg
## 1318 2009 8.135153 Luxembourg
## 1319 2010 8.446607 Luxembourg
## 1320 2011 8.155387 Luxembourg
## 1321 2012 8.279416 Luxembourg
## 1322 2013 8.233751 Luxembourg
## 1323 2014 7.600981 Luxembourg
## 1324 2015 6.988355 Luxembourg
## 1325 2016 6.513791 Luxembourg
## 1326 2017 5.908083 Luxembourg
## 1327 2018 5.356592 Luxembourg
## 1328 2019 5.037348 Luxembourg
## 1329 2020 6.891537 Luxembourg
## 1330 2021 5.826441 Luxembourg
## 1331 2022 4.653036 Luxembourg
## 1332 2023 4.564668 Luxembourg
## 1333 2024 NA Luxembourg
## 1334 NA NA Latvia
## 1335 1995 7.354386 Latvia
## 1336 1996 7.322514 Latvia
## 1337 1997 7.023768 Latvia
## 1338 1998 6.647258 Latvia
## 1339 1999 6.325752 Latvia
## 1340 2000 5.845738 Latvia
## 1341 2001 5.990523 Latvia
## 1342 2002 6.550369 Latvia
## 1343 2003 6.762772 Latvia
## 1344 2004 6.528094 Latvia
## 1345 2005 6.193322 Latvia
## 1346 2006 5.750215 Latvia
## 1347 2007 5.503190 Latvia
## 1348 2008 5.913614 Latvia
## 1349 2009 8.135153 Latvia
## 1350 2010 8.446607 Latvia
## 1351 2011 8.155387 Latvia
## 1352 2012 8.279416 Latvia
## 1353 2013 8.233751 Latvia
## 1354 2014 7.600981 Latvia
## 1355 2015 6.988355 Latvia
## 1356 2016 6.513791 Latvia
## 1357 2017 5.908083 Latvia
## 1358 2018 5.356592 Latvia
## 1359 2019 5.037348 Latvia
## 1360 2020 6.891537 Latvia
## 1361 2021 5.826441 Latvia
## 1362 2022 4.653036 Latvia
## 1363 2023 4.564668 Latvia
## 1364 2024 NA Latvia
## 1365 NA NA Morocco
## 1366 1995 7.354386 Morocco
## 1367 1996 7.322514 Morocco
## 1368 1997 7.023768 Morocco
## 1369 1998 6.647258 Morocco
## 1370 1999 6.325752 Morocco
## 1371 2000 5.845738 Morocco
## 1372 2001 5.990523 Morocco
## 1373 2002 6.550369 Morocco
## 1374 2003 6.762772 Morocco
## 1375 2004 6.528094 Morocco
## 1376 2005 6.193322 Morocco
## 1377 2006 5.750215 Morocco
## 1378 2007 5.503190 Morocco
## 1379 2008 5.913614 Morocco
## 1380 2009 8.135153 Morocco
## 1381 2010 8.446607 Morocco
## 1382 2011 8.155387 Morocco
## 1383 2012 8.279416 Morocco
## 1384 2013 8.233751 Morocco
## 1385 2014 7.600981 Morocco
## 1386 2015 6.988355 Morocco
## 1387 2016 6.513791 Morocco
## 1388 2017 5.908083 Morocco
## 1389 2018 5.356592 Morocco
## 1390 2019 5.037348 Morocco
## 1391 2020 6.891537 Morocco
## 1392 2021 5.826441 Morocco
## 1393 2022 4.653036 Morocco
## 1394 2023 4.564668 Morocco
## 1395 2024 NA Morocco
## 1396 NA NA Mexico
## 1397 1995 7.354386 Mexico
## 1398 1996 7.322514 Mexico
## 1399 1997 7.023768 Mexico
## 1400 1998 6.647258 Mexico
## 1401 1999 6.325752 Mexico
## 1402 2000 5.845738 Mexico
## 1403 2001 5.990523 Mexico
## 1404 2002 6.550369 Mexico
## 1405 2003 6.762772 Mexico
## 1406 2004 6.528094 Mexico
## 1407 2005 6.193322 Mexico
## 1408 2006 5.750215 Mexico
## 1409 2007 5.503190 Mexico
## 1410 2008 5.913614 Mexico
## 1411 2009 8.135153 Mexico
## 1412 2010 8.446607 Mexico
## 1413 2011 8.155387 Mexico
## 1414 2012 8.279416 Mexico
## 1415 2013 8.233751 Mexico
## 1416 2014 7.600981 Mexico
## 1417 2015 6.988355 Mexico
## 1418 2016 6.513791 Mexico
## 1419 2017 5.908083 Mexico
## 1420 2018 5.356592 Mexico
## 1421 2019 5.037348 Mexico
## 1422 2020 6.891537 Mexico
## 1423 2021 5.826441 Mexico
## 1424 2022 4.653036 Mexico
## 1425 2023 4.564668 Mexico
## 1426 2024 NA Mexico
## 1427 NA NA Middle.Income.Countries..MIC.
## 1428 1995 7.354386 Middle.Income.Countries..MIC.
## 1429 1996 7.322514 Middle.Income.Countries..MIC.
## 1430 1997 7.023768 Middle.Income.Countries..MIC.
## 1431 1998 6.647258 Middle.Income.Countries..MIC.
## 1432 1999 6.325752 Middle.Income.Countries..MIC.
## 1433 2000 5.845738 Middle.Income.Countries..MIC.
## 1434 2001 5.990523 Middle.Income.Countries..MIC.
## 1435 2002 6.550369 Middle.Income.Countries..MIC.
## 1436 2003 6.762772 Middle.Income.Countries..MIC.
## 1437 2004 6.528094 Middle.Income.Countries..MIC.
## 1438 2005 6.193322 Middle.Income.Countries..MIC.
## 1439 2006 5.750215 Middle.Income.Countries..MIC.
## 1440 2007 5.503190 Middle.Income.Countries..MIC.
## 1441 2008 5.913614 Middle.Income.Countries..MIC.
## 1442 2009 8.135153 Middle.Income.Countries..MIC.
## 1443 2010 8.446607 Middle.Income.Countries..MIC.
## 1444 2011 8.155387 Middle.Income.Countries..MIC.
## 1445 2012 8.279416 Middle.Income.Countries..MIC.
## 1446 2013 8.233751 Middle.Income.Countries..MIC.
## 1447 2014 7.600981 Middle.Income.Countries..MIC.
## 1448 2015 6.988355 Middle.Income.Countries..MIC.
## 1449 2016 6.513791 Middle.Income.Countries..MIC.
## 1450 2017 5.908083 Middle.Income.Countries..MIC.
## 1451 2018 5.356592 Middle.Income.Countries..MIC.
## 1452 2019 5.037348 Middle.Income.Countries..MIC.
## 1453 2020 6.891537 Middle.Income.Countries..MIC.
## 1454 2021 5.826441 Middle.Income.Countries..MIC.
## 1455 2022 4.653036 Middle.Income.Countries..MIC.
## 1456 2023 4.564668 Middle.Income.Countries..MIC.
## 1457 2024 NA Middle.Income.Countries..MIC.
## 1458 NA NA North.Macedonia
## 1459 1995 7.354386 North.Macedonia
## 1460 1996 7.322514 North.Macedonia
## 1461 1997 7.023768 North.Macedonia
## 1462 1998 6.647258 North.Macedonia
## 1463 1999 6.325752 North.Macedonia
## 1464 2000 5.845738 North.Macedonia
## 1465 2001 5.990523 North.Macedonia
## 1466 2002 6.550369 North.Macedonia
## 1467 2003 6.762772 North.Macedonia
## 1468 2004 6.528094 North.Macedonia
## 1469 2005 6.193322 North.Macedonia
## 1470 2006 5.750215 North.Macedonia
## 1471 2007 5.503190 North.Macedonia
## 1472 2008 5.913614 North.Macedonia
## 1473 2009 8.135153 North.Macedonia
## 1474 2010 8.446607 North.Macedonia
## 1475 2011 8.155387 North.Macedonia
## 1476 2012 8.279416 North.Macedonia
## 1477 2013 8.233751 North.Macedonia
## 1478 2014 7.600981 North.Macedonia
## 1479 2015 6.988355 North.Macedonia
## 1480 2016 6.513791 North.Macedonia
## 1481 2017 5.908083 North.Macedonia
## 1482 2018 5.356592 North.Macedonia
## 1483 2019 5.037348 North.Macedonia
## 1484 2020 6.891537 North.Macedonia
## 1485 2021 5.826441 North.Macedonia
## 1486 2022 4.653036 North.Macedonia
## 1487 2023 4.564668 North.Macedonia
## 1488 2024 NA North.Macedonia
## 1489 NA NA Malta
## 1490 1995 7.354386 Malta
## 1491 1996 7.322514 Malta
## 1492 1997 7.023768 Malta
## 1493 1998 6.647258 Malta
## 1494 1999 6.325752 Malta
## 1495 2000 5.845738 Malta
## 1496 2001 5.990523 Malta
## 1497 2002 6.550369 Malta
## 1498 2003 6.762772 Malta
## 1499 2004 6.528094 Malta
## 1500 2005 6.193322 Malta
## 1501 2006 5.750215 Malta
## 1502 2007 5.503190 Malta
## 1503 2008 5.913614 Malta
## 1504 2009 8.135153 Malta
## 1505 2010 8.446607 Malta
## 1506 2011 8.155387 Malta
## 1507 2012 8.279416 Malta
## 1508 2013 8.233751 Malta
## 1509 2014 7.600981 Malta
## 1510 2015 6.988355 Malta
## 1511 2016 6.513791 Malta
## 1512 2017 5.908083 Malta
## 1513 2018 5.356592 Malta
## 1514 2019 5.037348 Malta
## 1515 2020 6.891537 Malta
## 1516 2021 5.826441 Malta
## 1517 2022 4.653036 Malta
## 1518 2023 4.564668 Malta
## 1519 2024 NA Malta
## 1520 NA NA EMDE.Middle.East...N..Africa
## 1521 1995 7.354386 EMDE.Middle.East...N..Africa
## 1522 1996 7.322514 EMDE.Middle.East...N..Africa
## 1523 1997 7.023768 EMDE.Middle.East...N..Africa
## 1524 1998 6.647258 EMDE.Middle.East...N..Africa
## 1525 1999 6.325752 EMDE.Middle.East...N..Africa
## 1526 2000 5.845738 EMDE.Middle.East...N..Africa
## 1527 2001 5.990523 EMDE.Middle.East...N..Africa
## 1528 2002 6.550369 EMDE.Middle.East...N..Africa
## 1529 2003 6.762772 EMDE.Middle.East...N..Africa
## 1530 2004 6.528094 EMDE.Middle.East...N..Africa
## 1531 2005 6.193322 EMDE.Middle.East...N..Africa
## 1532 2006 5.750215 EMDE.Middle.East...N..Africa
## 1533 2007 5.503190 EMDE.Middle.East...N..Africa
## 1534 2008 5.913614 EMDE.Middle.East...N..Africa
## 1535 2009 8.135153 EMDE.Middle.East...N..Africa
## 1536 2010 8.446607 EMDE.Middle.East...N..Africa
## 1537 2011 8.155387 EMDE.Middle.East...N..Africa
## 1538 2012 8.279416 EMDE.Middle.East...N..Africa
## 1539 2013 8.233751 EMDE.Middle.East...N..Africa
## 1540 2014 7.600981 EMDE.Middle.East...N..Africa
## 1541 2015 6.988355 EMDE.Middle.East...N..Africa
## 1542 2016 6.513791 EMDE.Middle.East...N..Africa
## 1543 2017 5.908083 EMDE.Middle.East...N..Africa
## 1544 2018 5.356592 EMDE.Middle.East...N..Africa
## 1545 2019 5.037348 EMDE.Middle.East...N..Africa
## 1546 2020 6.891537 EMDE.Middle.East...N..Africa
## 1547 2021 5.826441 EMDE.Middle.East...N..Africa
## 1548 2022 4.653036 EMDE.Middle.East...N..Africa
## 1549 2023 4.564668 EMDE.Middle.East...N..Africa
## 1550 2024 NA EMDE.Middle.East...N..Africa
## 1551 NA NA Netherlands
## 1552 1995 7.354386 Netherlands
## 1553 1996 7.322514 Netherlands
## 1554 1997 7.023768 Netherlands
## 1555 1998 6.647258 Netherlands
## 1556 1999 6.325752 Netherlands
## 1557 2000 5.845738 Netherlands
## 1558 2001 5.990523 Netherlands
## 1559 2002 6.550369 Netherlands
## 1560 2003 6.762772 Netherlands
## 1561 2004 6.528094 Netherlands
## 1562 2005 6.193322 Netherlands
## 1563 2006 5.750215 Netherlands
## 1564 2007 5.503190 Netherlands
## 1565 2008 5.913614 Netherlands
## 1566 2009 8.135153 Netherlands
## 1567 2010 8.446607 Netherlands
## 1568 2011 8.155387 Netherlands
## 1569 2012 8.279416 Netherlands
## 1570 2013 8.233751 Netherlands
## 1571 2014 7.600981 Netherlands
## 1572 2015 6.988355 Netherlands
## 1573 2016 6.513791 Netherlands
## 1574 2017 5.908083 Netherlands
## 1575 2018 5.356592 Netherlands
## 1576 2019 5.037348 Netherlands
## 1577 2020 6.891537 Netherlands
## 1578 2021 5.826441 Netherlands
## 1579 2022 4.653036 Netherlands
## 1580 2023 4.564668 Netherlands
## 1581 2024 NA Netherlands
## 1582 NA NA Norway
## 1583 1995 7.354386 Norway
## 1584 1996 7.322514 Norway
## 1585 1997 7.023768 Norway
## 1586 1998 6.647258 Norway
## 1587 1999 6.325752 Norway
## 1588 2000 5.845738 Norway
## 1589 2001 5.990523 Norway
## 1590 2002 6.550369 Norway
## 1591 2003 6.762772 Norway
## 1592 2004 6.528094 Norway
## 1593 2005 6.193322 Norway
## 1594 2006 5.750215 Norway
## 1595 2007 5.503190 Norway
## 1596 2008 5.913614 Norway
## 1597 2009 8.135153 Norway
## 1598 2010 8.446607 Norway
## 1599 2011 8.155387 Norway
## 1600 2012 8.279416 Norway
## 1601 2013 8.233751 Norway
## 1602 2014 7.600981 Norway
## 1603 2015 6.988355 Norway
## 1604 2016 6.513791 Norway
## 1605 2017 5.908083 Norway
## 1606 2018 5.356592 Norway
## 1607 2019 5.037348 Norway
## 1608 2020 6.891537 Norway
## 1609 2021 5.826441 Norway
## 1610 2022 4.653036 Norway
## 1611 2023 4.564668 Norway
## 1612 2024 NA Norway
## 1613 NA NA New.Zealand
## 1614 1995 7.354386 New.Zealand
## 1615 1996 7.322514 New.Zealand
## 1616 1997 7.023768 New.Zealand
## 1617 1998 6.647258 New.Zealand
## 1618 1999 6.325752 New.Zealand
## 1619 2000 5.845738 New.Zealand
## 1620 2001 5.990523 New.Zealand
## 1621 2002 6.550369 New.Zealand
## 1622 2003 6.762772 New.Zealand
## 1623 2004 6.528094 New.Zealand
## 1624 2005 6.193322 New.Zealand
## 1625 2006 5.750215 New.Zealand
## 1626 2007 5.503190 New.Zealand
## 1627 2008 5.913614 New.Zealand
## 1628 2009 8.135153 New.Zealand
## 1629 2010 8.446607 New.Zealand
## 1630 2011 8.155387 New.Zealand
## 1631 2012 8.279416 New.Zealand
## 1632 2013 8.233751 New.Zealand
## 1633 2014 7.600981 New.Zealand
## 1634 2015 6.988355 New.Zealand
## 1635 2016 6.513791 New.Zealand
## 1636 2017 5.908083 New.Zealand
## 1637 2018 5.356592 New.Zealand
## 1638 2019 5.037348 New.Zealand
## 1639 2020 6.891537 New.Zealand
## 1640 2021 5.826441 New.Zealand
## 1641 2022 4.653036 New.Zealand
## 1642 2023 4.564668 New.Zealand
## 1643 2024 NA New.Zealand
## 1644 NA NA Pakistan
## 1645 1995 7.354386 Pakistan
## 1646 1996 7.322514 Pakistan
## 1647 1997 7.023768 Pakistan
## 1648 1998 6.647258 Pakistan
## 1649 1999 6.325752 Pakistan
## 1650 2000 5.845738 Pakistan
## 1651 2001 5.990523 Pakistan
## 1652 2002 6.550369 Pakistan
## 1653 2003 6.762772 Pakistan
## 1654 2004 6.528094 Pakistan
## 1655 2005 6.193322 Pakistan
## 1656 2006 5.750215 Pakistan
## 1657 2007 5.503190 Pakistan
## 1658 2008 5.913614 Pakistan
## 1659 2009 8.135153 Pakistan
## 1660 2010 8.446607 Pakistan
## 1661 2011 8.155387 Pakistan
## 1662 2012 8.279416 Pakistan
## 1663 2013 8.233751 Pakistan
## 1664 2014 7.600981 Pakistan
## 1665 2015 6.988355 Pakistan
## 1666 2016 6.513791 Pakistan
## 1667 2017 5.908083 Pakistan
## 1668 2018 5.356592 Pakistan
## 1669 2019 5.037348 Pakistan
## 1670 2020 6.891537 Pakistan
## 1671 2021 5.826441 Pakistan
## 1672 2022 4.653036 Pakistan
## 1673 2023 4.564668 Pakistan
## 1674 2024 NA Pakistan
## 1675 NA NA Peru
## 1676 1995 7.354386 Peru
## 1677 1996 7.322514 Peru
## 1678 1997 7.023768 Peru
## 1679 1998 6.647258 Peru
## 1680 1999 6.325752 Peru
## 1681 2000 5.845738 Peru
## 1682 2001 5.990523 Peru
## 1683 2002 6.550369 Peru
## 1684 2003 6.762772 Peru
## 1685 2004 6.528094 Peru
## 1686 2005 6.193322 Peru
## 1687 2006 5.750215 Peru
## 1688 2007 5.503190 Peru
## 1689 2008 5.913614 Peru
## 1690 2009 8.135153 Peru
## 1691 2010 8.446607 Peru
## 1692 2011 8.155387 Peru
## 1693 2012 8.279416 Peru
## 1694 2013 8.233751 Peru
## 1695 2014 7.600981 Peru
## 1696 2015 6.988355 Peru
## 1697 2016 6.513791 Peru
## 1698 2017 5.908083 Peru
## 1699 2018 5.356592 Peru
## 1700 2019 5.037348 Peru
## 1701 2020 6.891537 Peru
## 1702 2021 5.826441 Peru
## 1703 2022 4.653036 Peru
## 1704 2023 4.564668 Peru
## 1705 2024 NA Peru
## 1706 NA NA Philippines
## 1707 1995 7.354386 Philippines
## 1708 1996 7.322514 Philippines
## 1709 1997 7.023768 Philippines
## 1710 1998 6.647258 Philippines
## 1711 1999 6.325752 Philippines
## 1712 2000 5.845738 Philippines
## 1713 2001 5.990523 Philippines
## 1714 2002 6.550369 Philippines
## 1715 2003 6.762772 Philippines
## 1716 2004 6.528094 Philippines
## 1717 2005 6.193322 Philippines
## 1718 2006 5.750215 Philippines
## 1719 2007 5.503190 Philippines
## 1720 2008 5.913614 Philippines
## 1721 2009 8.135153 Philippines
## 1722 2010 8.446607 Philippines
## 1723 2011 8.155387 Philippines
## 1724 2012 8.279416 Philippines
## 1725 2013 8.233751 Philippines
## 1726 2014 7.600981 Philippines
## 1727 2015 6.988355 Philippines
## 1728 2016 6.513791 Philippines
## 1729 2017 5.908083 Philippines
## 1730 2018 5.356592 Philippines
## 1731 2019 5.037348 Philippines
## 1732 2020 6.891537 Philippines
## 1733 2021 5.826441 Philippines
## 1734 2022 4.653036 Philippines
## 1735 2023 4.564668 Philippines
## 1736 2024 NA Philippines
## 1737 NA NA Poland
## 1738 1995 7.354386 Poland
## 1739 1996 7.322514 Poland
## 1740 1997 7.023768 Poland
## 1741 1998 6.647258 Poland
## 1742 1999 6.325752 Poland
## 1743 2000 5.845738 Poland
## 1744 2001 5.990523 Poland
## 1745 2002 6.550369 Poland
## 1746 2003 6.762772 Poland
## 1747 2004 6.528094 Poland
## 1748 2005 6.193322 Poland
## 1749 2006 5.750215 Poland
## 1750 2007 5.503190 Poland
## 1751 2008 5.913614 Poland
## 1752 2009 8.135153 Poland
## 1753 2010 8.446607 Poland
## 1754 2011 8.155387 Poland
## 1755 2012 8.279416 Poland
## 1756 2013 8.233751 Poland
## 1757 2014 7.600981 Poland
## 1758 2015 6.988355 Poland
## 1759 2016 6.513791 Poland
## 1760 2017 5.908083 Poland
## 1761 2018 5.356592 Poland
## 1762 2019 5.037348 Poland
## 1763 2020 6.891537 Poland
## 1764 2021 5.826441 Poland
## 1765 2022 4.653036 Poland
## 1766 2023 4.564668 Poland
## 1767 2024 NA Poland
## 1768 NA NA Portugal
## 1769 1995 7.354386 Portugal
## 1770 1996 7.322514 Portugal
## 1771 1997 7.023768 Portugal
## 1772 1998 6.647258 Portugal
## 1773 1999 6.325752 Portugal
## 1774 2000 5.845738 Portugal
## 1775 2001 5.990523 Portugal
## 1776 2002 6.550369 Portugal
## 1777 2003 6.762772 Portugal
## 1778 2004 6.528094 Portugal
## 1779 2005 6.193322 Portugal
## 1780 2006 5.750215 Portugal
## 1781 2007 5.503190 Portugal
## 1782 2008 5.913614 Portugal
## 1783 2009 8.135153 Portugal
## 1784 2010 8.446607 Portugal
## 1785 2011 8.155387 Portugal
## 1786 2012 8.279416 Portugal
## 1787 2013 8.233751 Portugal
## 1788 2014 7.600981 Portugal
## 1789 2015 6.988355 Portugal
## 1790 2016 6.513791 Portugal
## 1791 2017 5.908083 Portugal
## 1792 2018 5.356592 Portugal
## 1793 2019 5.037348 Portugal
## 1794 2020 6.891537 Portugal
## 1795 2021 5.826441 Portugal
## 1796 2022 4.653036 Portugal
## 1797 2023 4.564668 Portugal
## 1798 2024 NA Portugal
## 1799 NA NA Romania
## 1800 1995 7.354386 Romania
## 1801 1996 7.322514 Romania
## 1802 1997 7.023768 Romania
## 1803 1998 6.647258 Romania
## 1804 1999 6.325752 Romania
## 1805 2000 5.845738 Romania
## 1806 2001 5.990523 Romania
## 1807 2002 6.550369 Romania
## 1808 2003 6.762772 Romania
## 1809 2004 6.528094 Romania
## 1810 2005 6.193322 Romania
## 1811 2006 5.750215 Romania
## 1812 2007 5.503190 Romania
## 1813 2008 5.913614 Romania
## 1814 2009 8.135153 Romania
## 1815 2010 8.446607 Romania
## 1816 2011 8.155387 Romania
## 1817 2012 8.279416 Romania
## 1818 2013 8.233751 Romania
## 1819 2014 7.600981 Romania
## 1820 2015 6.988355 Romania
## 1821 2016 6.513791 Romania
## 1822 2017 5.908083 Romania
## 1823 2018 5.356592 Romania
## 1824 2019 5.037348 Romania
## 1825 2020 6.891537 Romania
## 1826 2021 5.826441 Romania
## 1827 2022 4.653036 Romania
## 1828 2023 4.564668 Romania
## 1829 2024 NA Romania
## 1830 NA NA Russian.Federation
## 1831 1995 7.354386 Russian.Federation
## 1832 1996 7.322514 Russian.Federation
## 1833 1997 7.023768 Russian.Federation
## 1834 1998 6.647258 Russian.Federation
## 1835 1999 6.325752 Russian.Federation
## 1836 2000 5.845738 Russian.Federation
## 1837 2001 5.990523 Russian.Federation
## 1838 2002 6.550369 Russian.Federation
## 1839 2003 6.762772 Russian.Federation
## 1840 2004 6.528094 Russian.Federation
## 1841 2005 6.193322 Russian.Federation
## 1842 2006 5.750215 Russian.Federation
## 1843 2007 5.503190 Russian.Federation
## 1844 2008 5.913614 Russian.Federation
## 1845 2009 8.135153 Russian.Federation
## 1846 2010 8.446607 Russian.Federation
## 1847 2011 8.155387 Russian.Federation
## 1848 2012 8.279416 Russian.Federation
## 1849 2013 8.233751 Russian.Federation
## 1850 2014 7.600981 Russian.Federation
## 1851 2015 6.988355 Russian.Federation
## 1852 2016 6.513791 Russian.Federation
## 1853 2017 5.908083 Russian.Federation
## 1854 2018 5.356592 Russian.Federation
## 1855 2019 5.037348 Russian.Federation
## 1856 2020 6.891537 Russian.Federation
## 1857 2021 5.826441 Russian.Federation
## 1858 2022 4.653036 Russian.Federation
## 1859 2023 4.564668 Russian.Federation
## 1860 2024 NA Russian.Federation
## 1861 NA NA EMDE.South.Asia
## 1862 1995 7.354386 EMDE.South.Asia
## 1863 1996 7.322514 EMDE.South.Asia
## 1864 1997 7.023768 EMDE.South.Asia
## 1865 1998 6.647258 EMDE.South.Asia
## 1866 1999 6.325752 EMDE.South.Asia
## 1867 2000 5.845738 EMDE.South.Asia
## 1868 2001 5.990523 EMDE.South.Asia
## 1869 2002 6.550369 EMDE.South.Asia
## 1870 2003 6.762772 EMDE.South.Asia
## 1871 2004 6.528094 EMDE.South.Asia
## 1872 2005 6.193322 EMDE.South.Asia
## 1873 2006 5.750215 EMDE.South.Asia
## 1874 2007 5.503190 EMDE.South.Asia
## 1875 2008 5.913614 EMDE.South.Asia
## 1876 2009 8.135153 EMDE.South.Asia
## 1877 2010 8.446607 EMDE.South.Asia
## 1878 2011 8.155387 EMDE.South.Asia
## 1879 2012 8.279416 EMDE.South.Asia
## 1880 2013 8.233751 EMDE.South.Asia
## 1881 2014 7.600981 EMDE.South.Asia
## 1882 2015 6.988355 EMDE.South.Asia
## 1883 2016 6.513791 EMDE.South.Asia
## 1884 2017 5.908083 EMDE.South.Asia
## 1885 2018 5.356592 EMDE.South.Asia
## 1886 2019 5.037348 EMDE.South.Asia
## 1887 2020 6.891537 EMDE.South.Asia
## 1888 2021 5.826441 EMDE.South.Asia
## 1889 2022 4.653036 EMDE.South.Asia
## 1890 2023 4.564668 EMDE.South.Asia
## 1891 2024 NA EMDE.South.Asia
## 1892 NA NA Saudi.Arabia
## 1893 1995 7.354386 Saudi.Arabia
## 1894 1996 7.322514 Saudi.Arabia
## 1895 1997 7.023768 Saudi.Arabia
## 1896 1998 6.647258 Saudi.Arabia
## 1897 1999 6.325752 Saudi.Arabia
## 1898 2000 5.845738 Saudi.Arabia
## 1899 2001 5.990523 Saudi.Arabia
## 1900 2002 6.550369 Saudi.Arabia
## 1901 2003 6.762772 Saudi.Arabia
## 1902 2004 6.528094 Saudi.Arabia
## 1903 2005 6.193322 Saudi.Arabia
## 1904 2006 5.750215 Saudi.Arabia
## 1905 2007 5.503190 Saudi.Arabia
## 1906 2008 5.913614 Saudi.Arabia
## 1907 2009 8.135153 Saudi.Arabia
## 1908 2010 8.446607 Saudi.Arabia
## 1909 2011 8.155387 Saudi.Arabia
## 1910 2012 8.279416 Saudi.Arabia
## 1911 2013 8.233751 Saudi.Arabia
## 1912 2014 7.600981 Saudi.Arabia
## 1913 2015 6.988355 Saudi.Arabia
## 1914 2016 6.513791 Saudi.Arabia
## 1915 2017 5.908083 Saudi.Arabia
## 1916 2018 5.356592 Saudi.Arabia
## 1917 2019 5.037348 Saudi.Arabia
## 1918 2020 6.891537 Saudi.Arabia
## 1919 2021 5.826441 Saudi.Arabia
## 1920 2022 4.653036 Saudi.Arabia
## 1921 2023 4.564668 Saudi.Arabia
## 1922 2024 NA Saudi.Arabia
## 1923 NA NA Singapore
## 1924 1995 7.354386 Singapore
## 1925 1996 7.322514 Singapore
## 1926 1997 7.023768 Singapore
## 1927 1998 6.647258 Singapore
## 1928 1999 6.325752 Singapore
## 1929 2000 5.845738 Singapore
## 1930 2001 5.990523 Singapore
## 1931 2002 6.550369 Singapore
## 1932 2003 6.762772 Singapore
## 1933 2004 6.528094 Singapore
## 1934 2005 6.193322 Singapore
## 1935 2006 5.750215 Singapore
## 1936 2007 5.503190 Singapore
## 1937 2008 5.913614 Singapore
## 1938 2009 8.135153 Singapore
## 1939 2010 8.446607 Singapore
## 1940 2011 8.155387 Singapore
## 1941 2012 8.279416 Singapore
## 1942 2013 8.233751 Singapore
## 1943 2014 7.600981 Singapore
## 1944 2015 6.988355 Singapore
## 1945 2016 6.513791 Singapore
## 1946 2017 5.908083 Singapore
## 1947 2018 5.356592 Singapore
## 1948 2019 5.037348 Singapore
## 1949 2020 6.891537 Singapore
## 1950 2021 5.826441 Singapore
## 1951 2022 4.653036 Singapore
## 1952 2023 4.564668 Singapore
## 1953 2024 NA Singapore
## 1954 NA NA EMDE.Sub.Saharan.Africa
## 1955 1995 7.354386 EMDE.Sub.Saharan.Africa
## 1956 1996 7.322514 EMDE.Sub.Saharan.Africa
## 1957 1997 7.023768 EMDE.Sub.Saharan.Africa
## 1958 1998 6.647258 EMDE.Sub.Saharan.Africa
## 1959 1999 6.325752 EMDE.Sub.Saharan.Africa
## 1960 2000 5.845738 EMDE.Sub.Saharan.Africa
## 1961 2001 5.990523 EMDE.Sub.Saharan.Africa
## 1962 2002 6.550369 EMDE.Sub.Saharan.Africa
## 1963 2003 6.762772 EMDE.Sub.Saharan.Africa
## 1964 2004 6.528094 EMDE.Sub.Saharan.Africa
## 1965 2005 6.193322 EMDE.Sub.Saharan.Africa
## 1966 2006 5.750215 EMDE.Sub.Saharan.Africa
## 1967 2007 5.503190 EMDE.Sub.Saharan.Africa
## 1968 2008 5.913614 EMDE.Sub.Saharan.Africa
## 1969 2009 8.135153 EMDE.Sub.Saharan.Africa
## 1970 2010 8.446607 EMDE.Sub.Saharan.Africa
## 1971 2011 8.155387 EMDE.Sub.Saharan.Africa
## 1972 2012 8.279416 EMDE.Sub.Saharan.Africa
## 1973 2013 8.233751 EMDE.Sub.Saharan.Africa
## 1974 2014 7.600981 EMDE.Sub.Saharan.Africa
## 1975 2015 6.988355 EMDE.Sub.Saharan.Africa
## 1976 2016 6.513791 EMDE.Sub.Saharan.Africa
## 1977 2017 5.908083 EMDE.Sub.Saharan.Africa
## 1978 2018 5.356592 EMDE.Sub.Saharan.Africa
## 1979 2019 5.037348 EMDE.Sub.Saharan.Africa
## 1980 2020 6.891537 EMDE.Sub.Saharan.Africa
## 1981 2021 5.826441 EMDE.Sub.Saharan.Africa
## 1982 2022 4.653036 EMDE.Sub.Saharan.Africa
## 1983 2023 4.564668 EMDE.Sub.Saharan.Africa
## 1984 2024 NA EMDE.Sub.Saharan.Africa
## 1985 NA NA Slovakia
## 1986 1995 7.354386 Slovakia
## 1987 1996 7.322514 Slovakia
## 1988 1997 7.023768 Slovakia
## 1989 1998 6.647258 Slovakia
## 1990 1999 6.325752 Slovakia
## 1991 2000 5.845738 Slovakia
## 1992 2001 5.990523 Slovakia
## 1993 2002 6.550369 Slovakia
## 1994 2003 6.762772 Slovakia
## 1995 2004 6.528094 Slovakia
## 1996 2005 6.193322 Slovakia
## 1997 2006 5.750215 Slovakia
## 1998 2007 5.503190 Slovakia
## 1999 2008 5.913614 Slovakia
## 2000 2009 8.135153 Slovakia
## 2001 2010 8.446607 Slovakia
## 2002 2011 8.155387 Slovakia
## 2003 2012 8.279416 Slovakia
## 2004 2013 8.233751 Slovakia
## 2005 2014 7.600981 Slovakia
## 2006 2015 6.988355 Slovakia
## 2007 2016 6.513791 Slovakia
## 2008 2017 5.908083 Slovakia
## 2009 2018 5.356592 Slovakia
## 2010 2019 5.037348 Slovakia
## 2011 2020 6.891537 Slovakia
## 2012 2021 5.826441 Slovakia
## 2013 2022 4.653036 Slovakia
## 2014 2023 4.564668 Slovakia
## 2015 2024 NA Slovakia
## 2016 NA NA Slovenia
## 2017 1995 7.354386 Slovenia
## 2018 1996 7.322514 Slovenia
## 2019 1997 7.023768 Slovenia
## 2020 1998 6.647258 Slovenia
## 2021 1999 6.325752 Slovenia
## 2022 2000 5.845738 Slovenia
## 2023 2001 5.990523 Slovenia
## 2024 2002 6.550369 Slovenia
## 2025 2003 6.762772 Slovenia
## 2026 2004 6.528094 Slovenia
## 2027 2005 6.193322 Slovenia
## 2028 2006 5.750215 Slovenia
## 2029 2007 5.503190 Slovenia
## 2030 2008 5.913614 Slovenia
## 2031 2009 8.135153 Slovenia
## 2032 2010 8.446607 Slovenia
## 2033 2011 8.155387 Slovenia
## 2034 2012 8.279416 Slovenia
## 2035 2013 8.233751 Slovenia
## 2036 2014 7.600981 Slovenia
## 2037 2015 6.988355 Slovenia
## 2038 2016 6.513791 Slovenia
## 2039 2017 5.908083 Slovenia
## 2040 2018 5.356592 Slovenia
## 2041 2019 5.037348 Slovenia
## 2042 2020 6.891537 Slovenia
## 2043 2021 5.826441 Slovenia
## 2044 2022 4.653036 Slovenia
## 2045 2023 4.564668 Slovenia
## 2046 2024 NA Slovenia
## 2047 NA NA Sweden
## 2048 1995 7.354386 Sweden
## 2049 1996 7.322514 Sweden
## 2050 1997 7.023768 Sweden
## 2051 1998 6.647258 Sweden
## 2052 1999 6.325752 Sweden
## 2053 2000 5.845738 Sweden
## 2054 2001 5.990523 Sweden
## 2055 2002 6.550369 Sweden
## 2056 2003 6.762772 Sweden
## 2057 2004 6.528094 Sweden
## 2058 2005 6.193322 Sweden
## 2059 2006 5.750215 Sweden
## 2060 2007 5.503190 Sweden
## 2061 2008 5.913614 Sweden
## 2062 2009 8.135153 Sweden
## 2063 2010 8.446607 Sweden
## 2064 2011 8.155387 Sweden
## 2065 2012 8.279416 Sweden
## 2066 2013 8.233751 Sweden
## 2067 2014 7.600981 Sweden
## 2068 2015 6.988355 Sweden
## 2069 2016 6.513791 Sweden
## 2070 2017 5.908083 Sweden
## 2071 2018 5.356592 Sweden
## 2072 2019 5.037348 Sweden
## 2073 2020 6.891537 Sweden
## 2074 2021 5.826441 Sweden
## 2075 2022 4.653036 Sweden
## 2076 2023 4.564668 Sweden
## 2077 2024 NA Sweden
## 2078 NA NA Thailand
## 2079 1995 7.354386 Thailand
## 2080 1996 7.322514 Thailand
## 2081 1997 7.023768 Thailand
## 2082 1998 6.647258 Thailand
## 2083 1999 6.325752 Thailand
## 2084 2000 5.845738 Thailand
## 2085 2001 5.990523 Thailand
## 2086 2002 6.550369 Thailand
## 2087 2003 6.762772 Thailand
## 2088 2004 6.528094 Thailand
## 2089 2005 6.193322 Thailand
## 2090 2006 5.750215 Thailand
## 2091 2007 5.503190 Thailand
## 2092 2008 5.913614 Thailand
## 2093 2009 8.135153 Thailand
## 2094 2010 8.446607 Thailand
## 2095 2011 8.155387 Thailand
## 2096 2012 8.279416 Thailand
## 2097 2013 8.233751 Thailand
## 2098 2014 7.600981 Thailand
## 2099 2015 6.988355 Thailand
## 2100 2016 6.513791 Thailand
## 2101 2017 5.908083 Thailand
## 2102 2018 5.356592 Thailand
## 2103 2019 5.037348 Thailand
## 2104 2020 6.891537 Thailand
## 2105 2021 5.826441 Thailand
## 2106 2022 4.653036 Thailand
## 2107 2023 4.564668 Thailand
## 2108 2024 NA Thailand
## 2109 NA NA Tunisia
## 2110 1995 7.354386 Tunisia
## 2111 1996 7.322514 Tunisia
## 2112 1997 7.023768 Tunisia
## 2113 1998 6.647258 Tunisia
## 2114 1999 6.325752 Tunisia
## 2115 2000 5.845738 Tunisia
## 2116 2001 5.990523 Tunisia
## 2117 2002 6.550369 Tunisia
## 2118 2003 6.762772 Tunisia
## 2119 2004 6.528094 Tunisia
## 2120 2005 6.193322 Tunisia
## 2121 2006 5.750215 Tunisia
## 2122 2007 5.503190 Tunisia
## 2123 2008 5.913614 Tunisia
## 2124 2009 8.135153 Tunisia
## 2125 2010 8.446607 Tunisia
## 2126 2011 8.155387 Tunisia
## 2127 2012 8.279416 Tunisia
## 2128 2013 8.233751 Tunisia
## 2129 2014 7.600981 Tunisia
## 2130 2015 6.988355 Tunisia
## 2131 2016 6.513791 Tunisia
## 2132 2017 5.908083 Tunisia
## 2133 2018 5.356592 Tunisia
## 2134 2019 5.037348 Tunisia
## 2135 2020 6.891537 Tunisia
## 2136 2021 5.826441 Tunisia
## 2137 2022 4.653036 Tunisia
## 2138 2023 4.564668 Tunisia
## 2139 2024 NA Tunisia
## 2140 NA NA Turkey
## 2141 1995 7.354386 Turkey
## 2142 1996 7.322514 Turkey
## 2143 1997 7.023768 Turkey
## 2144 1998 6.647258 Turkey
## 2145 1999 6.325752 Turkey
## 2146 2000 5.845738 Turkey
## 2147 2001 5.990523 Turkey
## 2148 2002 6.550369 Turkey
## 2149 2003 6.762772 Turkey
## 2150 2004 6.528094 Turkey
## 2151 2005 6.193322 Turkey
## 2152 2006 5.750215 Turkey
## 2153 2007 5.503190 Turkey
## 2154 2008 5.913614 Turkey
## 2155 2009 8.135153 Turkey
## 2156 2010 8.446607 Turkey
## 2157 2011 8.155387 Turkey
## 2158 2012 8.279416 Turkey
## 2159 2013 8.233751 Turkey
## 2160 2014 7.600981 Turkey
## 2161 2015 6.988355 Turkey
## 2162 2016 6.513791 Turkey
## 2163 2017 5.908083 Turkey
## 2164 2018 5.356592 Turkey
## 2165 2019 5.037348 Turkey
## 2166 2020 6.891537 Turkey
## 2167 2021 5.826441 Turkey
## 2168 2022 4.653036 Turkey
## 2169 2023 4.564668 Turkey
## 2170 2024 NA Turkey
## 2171 NA NA Taiwan..China
## 2172 1995 7.354386 Taiwan..China
## 2173 1996 7.322514 Taiwan..China
## 2174 1997 7.023768 Taiwan..China
## 2175 1998 6.647258 Taiwan..China
## 2176 1999 6.325752 Taiwan..China
## 2177 2000 5.845738 Taiwan..China
## 2178 2001 5.990523 Taiwan..China
## 2179 2002 6.550369 Taiwan..China
## 2180 2003 6.762772 Taiwan..China
## 2181 2004 6.528094 Taiwan..China
## 2182 2005 6.193322 Taiwan..China
## 2183 2006 5.750215 Taiwan..China
## 2184 2007 5.503190 Taiwan..China
## 2185 2008 5.913614 Taiwan..China
## 2186 2009 8.135153 Taiwan..China
## 2187 2010 8.446607 Taiwan..China
## 2188 2011 8.155387 Taiwan..China
## 2189 2012 8.279416 Taiwan..China
## 2190 2013 8.233751 Taiwan..China
## 2191 2014 7.600981 Taiwan..China
## 2192 2015 6.988355 Taiwan..China
## 2193 2016 6.513791 Taiwan..China
## 2194 2017 5.908083 Taiwan..China
## 2195 2018 5.356592 Taiwan..China
## 2196 2019 5.037348 Taiwan..China
## 2197 2020 6.891537 Taiwan..China
## 2198 2021 5.826441 Taiwan..China
## 2199 2022 4.653036 Taiwan..China
## 2200 2023 4.564668 Taiwan..China
## 2201 2024 NA Taiwan..China
## 2202 NA NA Uruguay
## 2203 1995 7.354386 Uruguay
## 2204 1996 7.322514 Uruguay
## 2205 1997 7.023768 Uruguay
## 2206 1998 6.647258 Uruguay
## 2207 1999 6.325752 Uruguay
## 2208 2000 5.845738 Uruguay
## 2209 2001 5.990523 Uruguay
## 2210 2002 6.550369 Uruguay
## 2211 2003 6.762772 Uruguay
## 2212 2004 6.528094 Uruguay
## 2213 2005 6.193322 Uruguay
## 2214 2006 5.750215 Uruguay
## 2215 2007 5.503190 Uruguay
## 2216 2008 5.913614 Uruguay
## 2217 2009 8.135153 Uruguay
## 2218 2010 8.446607 Uruguay
## 2219 2011 8.155387 Uruguay
## 2220 2012 8.279416 Uruguay
## 2221 2013 8.233751 Uruguay
## 2222 2014 7.600981 Uruguay
## 2223 2015 6.988355 Uruguay
## 2224 2016 6.513791 Uruguay
## 2225 2017 5.908083 Uruguay
## 2226 2018 5.356592 Uruguay
## 2227 2019 5.037348 Uruguay
## 2228 2020 6.891537 Uruguay
## 2229 2021 5.826441 Uruguay
## 2230 2022 4.653036 Uruguay
## 2231 2023 4.564668 Uruguay
## 2232 2024 NA Uruguay
## 2233 NA NA United.States
## 2234 1995 7.354386 United.States
## 2235 1996 7.322514 United.States
## 2236 1997 7.023768 United.States
## 2237 1998 6.647258 United.States
## 2238 1999 6.325752 United.States
## 2239 2000 5.845738 United.States
## 2240 2001 5.990523 United.States
## 2241 2002 6.550369 United.States
## 2242 2003 6.762772 United.States
## 2243 2004 6.528094 United.States
## 2244 2005 6.193322 United.States
## 2245 2006 5.750215 United.States
## 2246 2007 5.503190 United.States
## 2247 2008 5.913614 United.States
## 2248 2009 8.135153 United.States
## 2249 2010 8.446607 United.States
## 2250 2011 8.155387 United.States
## 2251 2012 8.279416 United.States
## 2252 2013 8.233751 United.States
## 2253 2014 7.600981 United.States
## 2254 2015 6.988355 United.States
## 2255 2016 6.513791 United.States
## 2256 2017 5.908083 United.States
## 2257 2018 5.356592 United.States
## 2258 2019 5.037348 United.States
## 2259 2020 6.891537 United.States
## 2260 2021 5.826441 United.States
## 2261 2022 4.653036 United.States
## 2262 2023 4.564668 United.States
## 2263 2024 NA United.States
## 2264 NA NA Venezuela..RB
## 2265 1995 7.354386 Venezuela..RB
## 2266 1996 7.322514 Venezuela..RB
## 2267 1997 7.023768 Venezuela..RB
## 2268 1998 6.647258 Venezuela..RB
## 2269 1999 6.325752 Venezuela..RB
## 2270 2000 5.845738 Venezuela..RB
## 2271 2001 5.990523 Venezuela..RB
## 2272 2002 6.550369 Venezuela..RB
## 2273 2003 6.762772 Venezuela..RB
## 2274 2004 6.528094 Venezuela..RB
## 2275 2005 6.193322 Venezuela..RB
## 2276 2006 5.750215 Venezuela..RB
## 2277 2007 5.503190 Venezuela..RB
## 2278 2008 5.913614 Venezuela..RB
## 2279 2009 8.135153 Venezuela..RB
## 2280 2010 8.446607 Venezuela..RB
## 2281 2011 8.155387 Venezuela..RB
## 2282 2012 8.279416 Venezuela..RB
## 2283 2013 8.233751 Venezuela..RB
## 2284 2014 7.600981 Venezuela..RB
## 2285 2015 6.988355 Venezuela..RB
## 2286 2016 6.513791 Venezuela..RB
## 2287 2017 5.908083 Venezuela..RB
## 2288 2018 5.356592 Venezuela..RB
## 2289 2019 5.037348 Venezuela..RB
## 2290 2020 6.891537 Venezuela..RB
## 2291 2021 5.826441 Venezuela..RB
## 2292 2022 4.653036 Venezuela..RB
## 2293 2023 4.564668 Venezuela..RB
## 2294 2024 NA Venezuela..RB
## 2295 NA NA Viet.Nam
## 2296 1995 7.354386 Viet.Nam
## 2297 1996 7.322514 Viet.Nam
## 2298 1997 7.023768 Viet.Nam
## 2299 1998 6.647258 Viet.Nam
## 2300 1999 6.325752 Viet.Nam
## 2301 2000 5.845738 Viet.Nam
## 2302 2001 5.990523 Viet.Nam
## 2303 2002 6.550369 Viet.Nam
## 2304 2003 6.762772 Viet.Nam
## 2305 2004 6.528094 Viet.Nam
## 2306 2005 6.193322 Viet.Nam
## 2307 2006 5.750215 Viet.Nam
## 2308 2007 5.503190 Viet.Nam
## 2309 2008 5.913614 Viet.Nam
## 2310 2009 8.135153 Viet.Nam
## 2311 2010 8.446607 Viet.Nam
## 2312 2011 8.155387 Viet.Nam
## 2313 2012 8.279416 Viet.Nam
## 2314 2013 8.233751 Viet.Nam
## 2315 2014 7.600981 Viet.Nam
## 2316 2015 6.988355 Viet.Nam
## 2317 2016 6.513791 Viet.Nam
## 2318 2017 5.908083 Viet.Nam
## 2319 2018 5.356592 Viet.Nam
## 2320 2019 5.037348 Viet.Nam
## 2321 2020 6.891537 Viet.Nam
## 2322 2021 5.826441 Viet.Nam
## 2323 2022 4.653036 Viet.Nam
## 2324 2023 4.564668 Viet.Nam
## 2325 2024 NA Viet.Nam
## 2326 NA NA World..WBG.members.
## 2327 1995 7.354386 World..WBG.members.
## 2328 1996 7.322514 World..WBG.members.
## 2329 1997 7.023768 World..WBG.members.
## 2330 1998 6.647258 World..WBG.members.
## 2331 1999 6.325752 World..WBG.members.
## 2332 2000 5.845738 World..WBG.members.
## 2333 2001 5.990523 World..WBG.members.
## 2334 2002 6.550369 World..WBG.members.
## 2335 2003 6.762772 World..WBG.members.
## 2336 2004 6.528094 World..WBG.members.
## 2337 2005 6.193322 World..WBG.members.
## 2338 2006 5.750215 World..WBG.members.
## 2339 2007 5.503190 World..WBG.members.
## 2340 2008 5.913614 World..WBG.members.
## 2341 2009 8.135153 World..WBG.members.
## 2342 2010 8.446607 World..WBG.members.
## 2343 2011 8.155387 World..WBG.members.
## 2344 2012 8.279416 World..WBG.members.
## 2345 2013 8.233751 World..WBG.members.
## 2346 2014 7.600981 World..WBG.members.
## 2347 2015 6.988355 World..WBG.members.
## 2348 2016 6.513791 World..WBG.members.
## 2349 2017 5.908083 World..WBG.members.
## 2350 2018 5.356592 World..WBG.members.
## 2351 2019 5.037348 World..WBG.members.
## 2352 2020 6.891537 World..WBG.members.
## 2353 2021 5.826441 World..WBG.members.
## 2354 2022 4.653036 World..WBG.members.
## 2355 2023 4.564668 World..WBG.members.
## 2356 2024 NA World..WBG.members.
## 2357 NA NA South.Africa
## 2358 1995 7.354386 South.Africa
## 2359 1996 7.322514 South.Africa
## 2360 1997 7.023768 South.Africa
## 2361 1998 6.647258 South.Africa
## 2362 1999 6.325752 South.Africa
## 2363 2000 5.845738 South.Africa
## 2364 2001 5.990523 South.Africa
## 2365 2002 6.550369 South.Africa
## 2366 2003 6.762772 South.Africa
## 2367 2004 6.528094 South.Africa
## 2368 2005 6.193322 South.Africa
## 2369 2006 5.750215 South.Africa
## 2370 2007 5.503190 South.Africa
## 2371 2008 5.913614 South.Africa
## 2372 2009 8.135153 South.Africa
## 2373 2010 8.446607 South.Africa
## 2374 2011 8.155387 South.Africa
## 2375 2012 8.279416 South.Africa
## 2376 2013 8.233751 South.Africa
## 2377 2014 7.600981 South.Africa
## 2378 2015 6.988355 South.Africa
## 2379 2016 6.513791 South.Africa
## 2380 2017 5.908083 South.Africa
## 2381 2018 5.356592 South.Africa
## 2382 2019 5.037348 South.Africa
## 2383 2020 6.891537 South.Africa
## 2384 2021 5.826441 South.Africa
## 2385 2022 4.653036 South.Africa
## 2386 2023 4.564668 South.Africa
## 2387 2024 NA South.Africa
## unemployees_rate
## 1 NA
## 2 NA
## 3 NA
## 4 NA
## 5 NA
## 6 NA
## 7 NA
## 8 NA
## 9 22.425370
## 10 17.216580
## 11 13.622010
## 12 11.560380
## 13 10.150660
## 14 8.445447
## 15 7.856472
## 16 8.667090
## 17 7.745602
## 18 7.154079
## 19 7.214806
## 20 7.075905
## 21 7.268935
## 22 6.607550
## 23 8.463213
## 24 8.337304
## 25 9.207866
## 26 9.800519
## 27 11.532220
## 28 8.721822
## 29 6.833012
## 30 6.126724
## 31 NA
## 32 NA
## 33 8.471058
## 34 8.516425
## 35 8.363718
## 36 7.651377
## 37 6.869885
## 38 6.273074
## 39 6.765134
## 40 6.358194
## 41 5.931701
## 42 5.395828
## 43 5.033575
## 44 4.773106
## 45 4.369390
## 46 4.245414
## 47 5.564415
## 48 5.182600
## 49 5.084525
## 50 5.223267
## 51 5.670084
## 52 6.086423
## 53 6.054337
## 54 5.715893
## 55 5.594318
## 56 5.307342
## 57 5.168636
## 58 6.462833
## 59 5.126974
## 60 3.715796
## 61 3.686314
## 62 NA
## 63 NA
## 64 6.589767
## 65 7.033851
## 66 7.103283
## 67 7.184796
## 68 6.645249
## 69 5.803798
## 70 6.094126
## 71 6.871619
## 72 7.014325
## 73 7.067989
## 74 7.272197
## 75 6.779983
## 76 6.212382
## 77 5.900164
## 78 7.277309
## 79 6.924717
## 80 6.724668
## 81 6.980577
## 82 7.614801
## 83 8.365302
## 84 9.102527
## 85 9.063412
## 86 8.515910
## 87 7.711786
## 88 7.352249
## 89 9.996428
## 90 7.984046
## 91 6.289696
## 92 6.409709
## 93 6.960725
## 94 NA
## 95 9.673502
## 96 9.544409
## 97 9.212289
## 98 9.340881
## 99 8.411080
## 100 6.875592
## 101 6.589738
## 102 7.526965
## 103 8.182808
## 104 8.390290
## 105 8.441851
## 106 8.259000
## 107 7.488011
## 108 6.964915
## 109 7.986733
## 110 8.371863
## 111 7.208805
## 112 7.632052
## 113 8.554486
## 114 8.653592
## 115 8.655775
## 116 7.850313
## 117 7.097306
## 118 5.958609
## 119 5.366175
## 120 5.531549
## 121 6.273749
## 122 5.578462
## 123 5.526029
## 124 NA
## 125 NA
## 126 11.385830
## 127 11.061670
## 128 14.045830
## 129 12.203330
## 130 13.782500
## 131 18.129170
## 132 17.508330
## 133 17.426670
## 134 14.259170
## 135 12.670000
## 136 11.450830
## 137 9.602500
## 138 7.736667
## 139 6.302500
## 140 7.584167
## 141 9.474167
## 142 9.594167
## 143 11.089170
## 144 11.312500
## 145 11.160000
## 146 10.060000
## 147 8.685833
## 148 7.199167
## 149 6.175833
## 150 5.650000
## 151 7.359167
## 152 5.521667
## 153 4.499167
## 154 5.280000
## 155 NA
## 156 NA
## 157 NA
## 158 NA
## 159 NA
## 160 NA
## 161 NA
## 162 NA
## 163 NA
## 164 NA
## 165 NA
## 166 NA
## 167 NA
## 168 16.000000
## 169 5.600000
## 170 3.700000
## 171 4.000000
## 172 3.600000
## 173 4.000000
## 174 3.700000
## 175 4.300000
## 176 3.800000
## 177 3.500000
## 178 3.900000
## 179 4.100000
## 180 4.300000
## 181 4.700000
## 182 5.900000
## 183 5.900000
## 184 5.400000
## 185 6.300000
## 186 NA
## 187 NA
## 188 NA
## 189 NA
## 190 NA
## 191 NA
## 192 NA
## 193 NA
## 194 NA
## 195 NA
## 196 NA
## 197 NA
## 198 NA
## 199 NA
## 200 NA
## 201 NA
## 202 NA
## 203 NA
## 204 NA
## 205 NA
## 206 NA
## 207 NA
## 208 NA
## 209 6.173138
## 210 5.671507
## 211 4.826157
## 212 4.222985
## 213 4.101191
## 214 3.923700
## 215 3.598539
## 216 3.474964
## 217 NA
## 218 NA
## 219 NA
## 220 NA
## 221 NA
## 222 NA
## 223 NA
## 224 NA
## 225 NA
## 226 NA
## 227 NA
## 228 NA
## 229 NA
## 230 NA
## 231 NA
## 232 NA
## 233 NA
## 234 NA
## 235 NA
## 236 NA
## 237 7.289735
## 238 6.875286
## 239 8.443451
## 240 11.403450
## 241 12.864940
## 242 12.373760
## 243 12.049110
## 244 13.525280
## 245 13.481030
## 246 9.497428
## 247 8.040467
## 248 NA
## 249 NA
## 250 9.466667
## 251 9.608333
## 252 9.091667
## 253 8.291667
## 254 7.566667
## 255 6.833333
## 256 7.225000
## 257 7.683333
## 258 7.591667
## 259 7.150000
## 260 6.750000
## 261 6.450000
## 262 6.158333
## 263 6.308333
## 264 8.458333
## 265 8.141667
## 266 7.616667
## 267 7.408333
## 268 7.175000
## 269 7.033333
## 270 6.950000
## 271 7.033333
## 272 6.408333
## 273 5.850000
## 274 5.700000
## 275 9.725000
## 276 7.483333
## 277 5.266667
## 278 5.408333
## 279 NA
## 280 NA
## 281 4.232892
## 282 4.665679
## 283 5.201972
## 284 3.840284
## 285 2.713548
## 286 1.817696
## 287 1.700255
## 288 2.550812
## 289 3.699936
## 290 3.877498
## 291 3.763605
## 292 3.329346
## 293 2.761496
## 294 2.573752
## 295 3.712967
## 296 3.515214
## 297 2.836459
## 298 2.906198
## 299 3.159491
## 300 3.043093
## 301 3.180653
## 302 3.325244
## 303 3.088279
## 304 2.541681
## 305 2.304641
## 306 3.187624
## 307 2.984713
## 308 2.160390
## 309 2.034545
## 310 2.383774
## 311 NA
## 312 NA
## 313 NA
## 314 NA
## 315 NA
## 316 NA
## 317 NA
## 318 NA
## 319 NA
## 320 NA
## 321 NA
## 322 NA
## 323 NA
## 324 NA
## 325 NA
## 326 NA
## 327 8.535106
## 328 7.373030
## 329 6.646527
## 330 6.124041
## 331 6.424755
## 332 6.394900
## 333 6.640757
## 334 6.936552
## 335 7.339483
## 336 7.226031
## 337 10.540220
## 338 9.117112
## 339 7.808057
## 340 8.646686
## 341 NA
## 342 NA
## 343 NA
## 344 NA
## 345 NA
## 346 NA
## 347 NA
## 348 NA
## 349 14.973010
## 350 15.671440
## 351 14.072790
## 352 13.612590
## 353 11.821280
## 354 12.098860
## 355 11.287530
## 356 11.403210
## 357 12.243200
## 358 12.010040
## 359 11.043880
## 360 10.635000
## 361 9.886846
## 362 9.404219
## 363 9.198631
## 364 9.543023
## 365 9.673189
## 366 9.989517
## 367 10.901050
## 368 16.737170
## 369 13.753600
## 370 11.181540
## 371 10.146090
## 372 NA
## 373 NA
## 374 NA
## 375 NA
## 376 NA
## 377 NA
## 378 NA
## 379 4.850000
## 380 3.916667
## 381 3.516667
## 382 4.108333
## 383 4.616667
## 384 5.291667
## 385 4.558333
## 386 3.941667
## 387 3.658333
## 388 5.391667
## 389 6.283333
## 390 7.908333
## 391 11.850000
## 392 15.933330
## 393 16.166670
## 394 14.933330
## 395 12.975000
## 396 11.108330
## 397 8.425000
## 398 7.066667
## 399 7.616667
## 400 7.175000
## 401 6.275000
## 402 5.850000
## 403 NA
## 404 NA
## 405 4.025000
## 406 3.883333
## 407 4.783333
## 408 6.466667
## 409 8.708333
## 410 8.758333
## 411 8.116667
## 412 7.291667
## 413 7.800000
## 414 8.308333
## 415 7.925000
## 416 7.150000
## 417 5.316667
## 418 4.408333
## 419 6.683333
## 420 7.300000
## 421 6.716667
## 422 6.991667
## 423 6.958333
## 424 6.116667
## 425 5.075000
## 426 3.950000
## 427 2.883333
## 428 2.241667
## 429 2.041667
## 430 2.550000
## 431 2.825000
## 432 2.391667
## 433 2.633333
## 434 NA
## 435 NA
## 436 7.091995
## 437 7.744782
## 438 8.564591
## 439 8.107012
## 440 7.482197
## 441 6.874555
## 442 6.901246
## 443 7.665995
## 444 8.770507
## 445 9.181314
## 446 9.119307
## 447 8.079014
## 448 8.531125
## 449 7.410218
## 450 7.221496
## 451 6.562063
## 452 5.505894
## 453 5.078718
## 454 4.944463
## 455 4.703911
## 456 4.361970
## 457 3.902904
## 458 3.565134
## 459 3.207767
## 460 2.976985
## 461 3.629676
## 462 3.566448
## 463 3.064877
## 464 3.026228
## 465 NA
## 466 NA
## 467 NA
## 468 NA
## 469 NA
## 470 NA
## 471 NA
## 472 NA
## 473 NA
## 474 NA
## 475 NA
## 476 NA
## 477 NA
## 478 3.795757
## 479 3.596220
## 480 2.642212
## 481 4.844062
## 482 6.072357
## 483 5.935750
## 484 6.052490
## 485 5.749053
## 486 5.000041
## 487 4.559738
## 488 4.128826
## 489 4.190788
## 490 3.848178
## 491 3.671415
## 492 4.614453
## 493 3.601320
## 494 2.528134
## 495 2.794248
## 496 NA
## 497 NA
## 498 NA
## 499 NA
## 500 NA
## 501 NA
## 502 NA
## 503 NA
## 504 NA
## 505 NA
## 506 NA
## 507 NA
## 508 NA
## 509 NA
## 510 NA
## 511 NA
## 512 NA
## 513 NA
## 514 NA
## 515 NA
## 516 NA
## 517 NA
## 518 7.312932
## 519 7.068438
## 520 5.517686
## 521 5.621356
## 522 6.150558
## 523 5.831736
## 524 7.386001
## 525 5.301110
## 526 5.307372
## 527 NA
## 528 NA
## 529 NA
## 530 NA
## 531 NA
## 532 NA
## 533 NA
## 534 NA
## 535 NA
## 536 5.983834
## 537 5.895526
## 538 6.042697
## 539 5.755575
## 540 4.122685
## 541 3.780625
## 542 3.821656
## 543 4.059837
## 544 3.888312
## 545 3.431192
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## 1514 4.073508
## 1515 4.848455
## 1516 3.774977
## 1517 3.451898
## 1518 3.127250
## 1519 NA
## 1520 NA
## 1521 NA
## 1522 NA
## 1523 NA
## 1524 NA
## 1525 NA
## 1526 NA
## 1527 NA
## 1528 NA
## 1529 NA
## 1530 9.969311
## 1531 10.267300
## 1532 10.067590
## 1533 8.892362
## 1534 8.520868
## 1535 8.869236
## 1536 8.646904
## 1537 10.437980
## 1538 10.799820
## 1539 11.092000
## 1540 11.066830
## 1541 10.806850
## 1542 10.677120
## 1543 10.559350
## 1544 9.421832
## 1545 8.214108
## 1546 9.275761
## 1547 9.018574
## 1548 8.299996
## 1549 8.477531
## 1550 NA
## 1551 NA
## 1552 NA
## 1553 NA
## 1554 NA
## 1555 NA
## 1556 NA
## 1557 NA
## 1558 NA
## 1559 NA
## 1560 5.920346
## 1561 6.778997
## 1562 6.955206
## 1563 6.073976
## 1564 5.299355
## 1565 4.754470
## 1566 5.434037
## 1567 6.063175
## 1568 6.052812
## 1569 6.821324
## 1570 8.203119
## 1571 8.345212
## 1572 7.884946
## 1573 6.986961
## 1574 5.861958
## 1575 4.856475
## 1576 4.426895
## 1577 4.851547
## 1578 4.222472
## 1579 3.539805
## 1580 3.542296
## 1581 NA
## 1582 NA
## 1583 5.791667
## 1584 5.083333
## 1585 4.141667
## 1586 3.308333
## 1587 3.241667
## 1588 3.466667
## 1589 3.633333
## 1590 3.908333
## 1591 4.491667
## 1592 4.541667
## 1593 4.808333
## 1594 3.608333
## 1595 2.725000
## 1596 2.908333
## 1597 3.466667
## 1598 3.916667
## 1599 3.583333
## 1600 3.475000
## 1601 3.900000
## 1602 3.800000
## 1603 4.658333
## 1604 4.900000
## 1605 4.366667
## 1606 4.041667
## 1607 3.858333
## 1608 4.775000
## 1609 4.425000
## 1610 3.250000
## 1611 3.600000
## 1612 NA
## 1613 NA
## 1614 6.449457
## 1615 6.304477
## 1616 6.833208
## 1617 7.734764
## 1618 7.016475
## 1619 6.144700
## 1620 5.454620
## 1621 5.306666
## 1622 4.777104
## 1623 4.021320
## 1624 3.826852
## 1625 3.841961
## 1626 3.561369
## 1627 4.023856
## 1628 5.887898
## 1629 6.218639
## 1630 6.015408
## 1631 6.473370
## 1632 5.850508
## 1633 5.421609
## 1634 5.399099
## 1635 5.122487
## 1636 4.722119
## 1637 4.324404
## 1638 4.099060
## 1639 4.607901
## 1640 3.787420
## 1641 3.278674
## 1642 3.707101
## 1643 NA
## 1644 NA
## 1645 5.370000
## 1646 5.370000
## 1647 6.120000
## 1648 5.890000
## 1649 5.890000
## 1650 7.820000
## 1651 7.820000
## 1652 8.270000
## 1653 8.270000
## 1654 7.690000
## 1655 7.690000
## 1656 6.200000
## 1657 5.200000
## 1658 5.200000
## 1659 5.460000
## 1660 5.550000
## 1661 5.950000
## 1662 5.950000
## 1663 6.240000
## 1664 6.000000
## 1665 5.900000
## 1666 NA
## 1667 NA
## 1668 5.800000
## 1669 6.900000
## 1670 NA
## 1671 6.300000
## 1672 NA
## 1673 NA
## 1674 NA
## 1675 NA
## 1676 NA
## 1677 NA
## 1678 NA
## 1679 NA
## 1680 NA
## 1681 NA
## 1682 NA
## 1683 9.402833
## 1684 9.447859
## 1685 9.447917
## 1686 9.558387
## 1687 8.544907
## 1688 8.391889
## 1689 8.377260
## 1690 8.392997
## 1691 7.848329
## 1692 7.688374
## 1693 6.771483
## 1694 5.944029
## 1695 5.935543
## 1696 6.491689
## 1697 6.754285
## 1698 6.901772
## 1699 6.627672
## 1700 6.544831
## 1701 14.167530
## 1702 10.717140
## 1703 7.697491
## 1704 6.802061
## 1705 NA
## 1706 NA
## 1707 9.525000
## 1708 8.550000
## 1709 8.725000
## 1710 10.050000
## 1711 9.775000
## 1712 11.200000
## 1713 11.175000
## 1714 11.400000
## 1715 11.375000
## 1716 11.800000
## 1717 11.350000
## 1718 7.975000
## 1719 7.325000
## 1720 7.400000
## 1721 7.475000
## 1722 7.325000
## 1723 7.050000
## 1724 7.000000
## 1725 7.075000
## 1726 6.825000
## 1727 6.275000
## 1728 5.450000
## 1729 5.700000
## 1730 5.300000
## 1731 5.100000
## 1732 10.275000
## 1733 8.025000
## 1734 5.450000
## 1735 4.600000
## 1736 4.333333
## 1737 NA
## 1738 15.225000
## 1739 14.300000
## 1740 11.508330
## 1741 10.008330
## 1742 11.991670
## 1743 14.025000
## 1744 16.216670
## 1745 19.716670
## 1746 19.916670
## 1747 19.500000
## 1748 18.183330
## 1749 16.191670
## 1750 12.691670
## 1751 9.825000
## 1752 10.966670
## 1753 12.116670
## 1754 12.383330
## 1755 12.800000
## 1756 13.525000
## 1757 12.316670
## 1758 10.475000
## 1759 8.925000
## 1760 7.258333
## 1761 6.075000
## 1762 5.416667
## 1763 5.966667
## 1764 6.408333
## 1765 5.400000
## 1766 5.175000
## 1767 5.111111
## 1768 NA
## 1769 7.850721
## 1770 7.954561
## 1771 7.452022
## 1772 5.693785
## 1773 5.078260
## 1774 4.697619
## 1775 4.772225
## 1776 5.767419
## 1777 6.945851
## 1778 7.348092
## 1779 8.302135
## 1780 8.352722
## 1781 8.708307
## 1782 8.306925
## 1783 10.188150
## 1784 11.509880
## 1785 13.432640
## 1786 16.512830
## 1787 17.096470
## 1788 14.516580
## 1789 12.935570
## 1790 11.411640
## 1791 9.141735
## 1792 7.164851
## 1793 6.620423
## 1794 6.943784
## 1795 6.556726
## 1796 6.051466
## 1797 6.495541
## 1798 NA
## 1799 NA
## 1800 9.975000
## 1801 7.775000
## 1802 7.508333
## 1803 9.266667
## 1804 11.383330
## 1805 11.175000
## 1806 8.991667
## 1807 10.183330
## 1808 7.558333
## 1809 6.750000
## 1810 5.825000
## 1811 5.416667
## 1812 4.300000
## 1813 3.983333
## 1814 6.283333
## 1815 7.625000
## 1816 5.383333
## 1817 5.066667
## 1818 5.258333
## 1819 5.250000
## 1820 5.125000
## 1821 4.791667
## 1822 4.266667
## 1823 3.566667
## 1824 3.050000
## 1825 3.116667
## 1826 3.050000
## 1827 2.916667
## 1828 2.875000
## 1829 NA
## 1830 NA
## 1831 8.289285
## 1832 9.273822
## 1833 10.824920
## 1834 11.883590
## 1835 13.027060
## 1836 10.551490
## 1837 8.950524
## 1838 8.058492
## 1839 8.243252
## 1840 7.735817
## 1841 7.160630
## 1842 7.070196
## 1843 6.052404
## 1844 6.263401
## 1845 8.242749
## 1846 7.345435
## 1847 6.496540
## 1848 5.431224
## 1849 5.491230
## 1850 5.158920
## 1851 5.576504
## 1852 5.515574
## 1853 5.181657
## 1854 4.797720
## 1855 4.615427
## 1856 5.762670
## 1857 4.851267
## 1858 3.958911
## 1859 3.175648
## 1860 NA
## 1861 NA
## 1862 6.137680
## 1863 6.026903
## 1864 6.605200
## 1865 6.256669
## 1866 6.223437
## 1867 7.795629
## 1868 7.828862
## 1869 8.328711
## 1870 8.251168
## 1871 7.735418
## 1872 7.691108
## 1873 6.233233
## 1874 5.288621
## 1875 5.222155
## 1876 5.508742
## 1877 5.477995
## 1878 5.756142
## 1879 5.733986
## 1880 6.036172
## 1881 5.811680
## 1882 5.767068
## 1883 NA
## 1884 NA
## 1885 5.644913
## 1886 6.667370
## 1887 NA
## 1888 NA
## 1889 NA
## 1890 NA
## 1891 NA
## 1892 NA
## 1893 NA
## 1894 NA
## 1895 NA
## 1896 NA
## 1897 4.351138
## 1898 4.571755
## 1899 4.621904
## 1900 5.270820
## 1901 5.558241
## 1902 5.815326
## 1903 6.093714
## 1904 6.295392
## 1905 5.798668
## 1906 5.201662
## 1907 5.401630
## 1908 5.500834
## 1909 5.798776
## 1910 5.498660
## 1911 5.598755
## 1912 5.699692
## 1913 5.600570
## 1914 5.600135
## 1915 5.999176
## 1916 5.994810
## 1917 5.691622
## 1918 7.386515
## 1919 6.892341
## 1920 4.769607
## 1921 NA
## 1922 NA
## 1923 NA
## 1924 1.725000
## 1925 1.650000
## 1926 1.425000
## 1927 2.575000
## 1928 2.800000
## 1929 2.600000
## 1930 2.675000
## 1931 3.575000
## 1932 4.000000
## 1933 3.375000
## 1934 3.125000
## 1935 2.675000
## 1936 2.100000
## 1937 2.275000
## 1938 3.000000
## 1939 2.175000
## 1940 2.025000
## 1941 1.950000
## 1942 1.900000
## 1943 1.950000
## 1944 1.900000
## 1945 2.075000
## 1946 2.175000
## 1947 2.125000
## 1948 2.225000
## 1949 3.025000
## 1950 2.650000
## 1951 2.125000
## 1952 1.925000
## 1953 NA
## 1954 NA
## 1955 NA
## 1956 NA
## 1957 NA
## 1958 NA
## 1959 NA
## 1960 NA
## 1961 NA
## 1962 27.838130
## 1963 27.567540
## 1964 25.092540
## 1965 24.631840
## 1966 23.487250
## 1967 22.884950
## 1968 22.469100
## 1969 23.669050
## 1970 24.840620
## 1971 24.787830
## 1972 24.880340
## 1973 24.730590
## 1974 25.100010
## 1975 25.335990
## 1976 26.701380
## 1977 27.410290
## 1978 27.089090
## 1979 28.671330
## 1980 29.151720
## 1981 34.314830
## 1982 33.528110
## 1983 32.394110
## 1984 NA
## 1985 NA
## 1986 13.680830
## 1987 12.605000
## 1988 12.914170
## 1989 13.825000
## 1990 17.490830
## 1991 18.265000
## 1992 18.266670
## 1993 17.808330
## 1994 15.181670
## 1995 14.241670
## 1996 11.625830
## 1997 10.362500
## 1998 8.420833
## 1999 7.645000
## 2000 11.440000
## 2001 12.472500
## 2002 13.151670
## 2003 13.580830
## 2004 14.100000
## 2005 12.781670
## 2006 11.493330
## 2007 9.480000
## 2008 7.060833
## 2009 5.420000
## 2010 5.001667
## 2011 6.788333
## 2012 7.476667
## 2013 6.310000
## 2014 5.298333
## 2015 NA
## 2016 NA
## 2017 14.041670
## 2018 13.916670
## 2019 14.416670
## 2020 14.483330
## 2021 13.566670
## 2022 12.183330
## 2023 11.558330
## 2024 11.591670
## 2025 11.175000
## 2026 10.591670
## 2027 10.141670
## 2028 9.433333
## 2029 7.725000
## 2030 6.733333
## 2031 9.158333
## 2032 10.766670
## 2033 11.875000
## 2034 12.008330
## 2035 13.125000
## 2036 13.083330
## 2037 12.275000
## 2038 11.183330
## 2039 9.475000
## 2040 8.258333
## 2041 7.641667
## 2042 8.725000
## 2043 7.608333
## 2044 5.783333
## 2045 4.941667
## 2046 NA
## 2047 NA
## 2048 10.427560
## 2049 10.898600
## 2050 10.882600
## 2051 8.813132
## 2052 7.564602
## 2053 6.330908
## 2054 5.978618
## 2055 6.096236
## 2056 6.713750
## 2057 7.527585
## 2058 7.911494
## 2059 7.146732
## 2060 6.223433
## 2061 6.278540
## 2062 8.450261
## 2063 8.687349
## 2064 7.868845
## 2065 8.083348
## 2066 8.108920
## 2067 8.037790
## 2068 7.495227
## 2069 7.054738
## 2070 6.781221
## 2071 6.439414
## 2072 6.923199
## 2073 8.518401
## 2074 8.869389
## 2075 7.470880
## 2076 7.679193
## 2077 NA
## 2078 NA
## 2079 NA
## 2080 NA
## 2081 NA
## 2082 NA
## 2083 NA
## 2084 NA
## 2085 3.272500
## 2086 2.370833
## 2087 2.166667
## 2088 2.054167
## 2089 1.825833
## 2090 1.490833
## 2091 1.353333
## 2092 1.373333
## 2093 1.456667
## 2094 1.035833
## 2095 0.650833
## 2096 0.656667
## 2097 0.723333
## 2098 0.839167
## 2099 0.882500
## 2100 0.986667
## 2101 1.173333
## 2102 1.060000
## 2103 0.986667
## 2104 NA
## 2105 NA
## 2106 1.338333
## 2107 0.979167
## 2108 NA
## 2109 NA
## 2110 NA
## 2111 NA
## 2112 NA
## 2113 NA
## 2114 NA
## 2115 NA
## 2116 NA
## 2117 NA
## 2118 NA
## 2119 NA
## 2120 NA
## 2121 NA
## 2122 NA
## 2123 NA
## 2124 NA
## 2125 NA
## 2126 NA
## 2127 17.348980
## 2128 15.847080
## 2129 15.020640
## 2130 15.221350
## 2131 15.499170
## 2132 15.353860
## 2133 15.456920
## 2134 15.160620
## 2135 16.688580
## 2136 17.576170
## 2137 15.474280
## 2138 15.974140
## 2139 NA
## 2140 NA
## 2141 NA
## 2142 NA
## 2143 NA
## 2144 NA
## 2145 NA
## 2146 NA
## 2147 NA
## 2148 NA
## 2149 NA
## 2150 NA
## 2151 9.250000
## 2152 8.741667
## 2153 8.841667
## 2154 9.850000
## 2155 12.941670
## 2156 11.058330
## 2157 8.983333
## 2158 8.300000
## 2159 8.866667
## 2160 9.891667
## 2161 10.316670
## 2162 10.883330
## 2163 10.933330
## 2164 10.941670
## 2165 13.733330
## 2166 13.141670
## 2167 12.025000
## 2168 10.483330
## 2169 9.383333
## 2170 NA
## 2171 NA
## 2172 1.808333
## 2173 2.600000
## 2174 2.725000
## 2175 2.700000
## 2176 2.925000
## 2177 3.000000
## 2178 4.561667
## 2179 5.171667
## 2180 4.995000
## 2181 4.419167
## 2182 4.126667
## 2183 3.904167
## 2184 3.910000
## 2185 4.145833
## 2186 5.850833
## 2187 5.225833
## 2188 4.389167
## 2189 4.236667
## 2190 4.175833
## 2191 3.958333
## 2192 3.785833
## 2193 3.920833
## 2194 3.760833
## 2195 3.709167
## 2196 3.730000
## 2197 3.849167
## 2198 3.951667
## 2199 3.669167
## 2200 3.479167
## 2201 NA
## 2202 NA
## 2203 NA
## 2204 NA
## 2205 11.558330
## 2206 10.125000
## 2207 11.200000
## 2208 13.400000
## 2209 15.191670
## 2210 16.750000
## 2211 17.150000
## 2212 13.341670
## 2213 12.141670
## 2214 10.783330
## 2215 9.400000
## 2216 7.925000
## 2217 7.783333
## 2218 7.025000
## 2219 6.341667
## 2220 6.325000
## 2221 6.508333
## 2222 6.625000
## 2223 7.525000
## 2224 7.875000
## 2225 7.925000
## 2226 8.366667
## 2227 8.925000
## 2228 10.350000
## 2229 9.366667
## 2230 7.875000
## 2231 8.325000
## 2232 NA
## 2233 NA
## 2234 5.591667
## 2235 5.408333
## 2236 4.941667
## 2237 4.500000
## 2238 4.216667
## 2239 3.966667
## 2240 4.741667
## 2241 5.783333
## 2242 5.991667
## 2243 5.541667
## 2244 5.083333
## 2245 4.608333
## 2246 4.616667
## 2247 5.800000
## 2248 9.283333
## 2249 9.608333
## 2250 8.933333
## 2251 8.075000
## 2252 7.358333
## 2253 6.158333
## 2254 5.275000
## 2255 4.875000
## 2256 4.358333
## 2257 3.891667
## 2258 3.675000
## 2259 8.091667
## 2260 5.350000
## 2261 3.633333
## 2262 3.625000
## 2263 4.000000
## 2264 NA
## 2265 NA
## 2266 NA
## 2267 NA
## 2268 NA
## 2269 14.503670
## 2270 13.981880
## 2271 13.352400
## 2272 16.229960
## 2273 18.074330
## 2274 14.996840
## 2275 12.195670
## 2276 9.944667
## 2277 8.454346
## 2278 7.340996
## 2279 7.896865
## 2280 8.512560
## 2281 8.182989
## 2282 7.801805
## 2283 7.518473
## 2284 6.921237
## 2285 6.809548
## 2286 7.284966
## 2287 7.183809
## 2288 6.908740
## 2289 NA
## 2290 NA
## 2291 NA
## 2292 NA
## 2293 NA
## 2294 NA
## 2295 NA
## 2296 NA
## 2297 NA
## 2298 NA
## 2299 NA
## 2300 NA
## 2301 NA
## 2302 NA
## 2303 NA
## 2304 NA
## 2305 NA
## 2306 NA
## 2307 NA
## 2308 NA
## 2309 2.380000
## 2310 2.900000
## 2311 2.910000
## 2312 2.220000
## 2313 1.950000
## 2314 2.170000
## 2315 2.100000
## 2316 2.340000
## 2317 2.290000
## 2318 2.220000
## 2319 2.190000
## 2320 2.170000
## 2321 2.480000
## 2322 3.200000
## 2323 2.340000
## 2324 2.280000
## 2325 NA
## 2326 NA
## 2327 NA
## 2328 NA
## 2329 NA
## 2330 NA
## 2331 NA
## 2332 NA
## 2333 NA
## 2334 8.421016
## 2335 8.359090
## 2336 7.960626
## 2337 7.560700
## 2338 6.898368
## 2339 6.362066
## 2340 6.494312
## 2341 8.016663
## 2342 8.040930
## 2343 7.789569
## 2344 7.723256
## 2345 7.755923
## 2346 7.407497
## 2347 7.228652
## 2348 7.299880
## 2349 7.085289
## 2350 6.649984
## 2351 6.600923
## 2352 8.278336
## 2353 7.441054
## 2354 6.059352
## 2355 5.677601
## 2356 NA
## 2357 NA
## 2358 NA
## 2359 NA
## 2360 NA
## 2361 NA
## 2362 NA
## 2363 NA
## 2364 26.055110
## 2365 27.838130
## 2366 27.567540
## 2367 25.092540
## 2368 24.631840
## 2369 23.487250
## 2370 22.884950
## 2371 22.469100
## 2372 23.669050
## 2373 24.840620
## 2374 24.787830
## 2375 24.880340
## 2376 24.730590
## 2377 25.100010
## 2378 25.335990
## 2379 26.701380
## 2380 27.410290
## 2381 27.089090
## 2382 28.671330
## 2383 29.151720
## 2384 34.314830
## 2385 33.528110
## 2386 32.394110
## 2387 NAUMp_dataset<-UMp_dataset %>% rename("Advanced_Economies" = Advanced.Economies)
UMp_dataset## year Advanced_Economies country
## 1 NA NA Argentina
## 2 1995 7.354386 Argentina
## 3 1996 7.322514 Argentina
## 4 1997 7.023768 Argentina
## 5 1998 6.647258 Argentina
## 6 1999 6.325752 Argentina
## 7 2000 5.845738 Argentina
## 8 2001 5.990523 Argentina
## 9 2002 6.550369 Argentina
## 10 2003 6.762772 Argentina
## 11 2004 6.528094 Argentina
## 12 2005 6.193322 Argentina
## 13 2006 5.750215 Argentina
## 14 2007 5.503190 Argentina
## 15 2008 5.913614 Argentina
## 16 2009 8.135153 Argentina
## 17 2010 8.446607 Argentina
## 18 2011 8.155387 Argentina
## 19 2012 8.279416 Argentina
## 20 2013 8.233751 Argentina
## 21 2014 7.600981 Argentina
## 22 2015 6.988355 Argentina
## 23 2016 6.513791 Argentina
## 24 2017 5.908083 Argentina
## 25 2018 5.356592 Argentina
## 26 2019 5.037348 Argentina
## 27 2020 6.891537 Argentina
## 28 2021 5.826441 Argentina
## 29 2022 4.653036 Argentina
## 30 2023 4.564668 Argentina
## 31 2024 NA Argentina
## 32 NA NA Australia
## 33 1995 7.354386 Australia
## 34 1996 7.322514 Australia
## 35 1997 7.023768 Australia
## 36 1998 6.647258 Australia
## 37 1999 6.325752 Australia
## 38 2000 5.845738 Australia
## 39 2001 5.990523 Australia
## 40 2002 6.550369 Australia
## 41 2003 6.762772 Australia
## 42 2004 6.528094 Australia
## 43 2005 6.193322 Australia
## 44 2006 5.750215 Australia
## 45 2007 5.503190 Australia
## 46 2008 5.913614 Australia
## 47 2009 8.135153 Australia
## 48 2010 8.446607 Australia
## 49 2011 8.155387 Australia
## 50 2012 8.279416 Australia
## 51 2013 8.233751 Australia
## 52 2014 7.600981 Australia
## 53 2015 6.988355 Australia
## 54 2016 6.513791 Australia
## 55 2017 5.908083 Australia
## 56 2018 5.356592 Australia
## 57 2019 5.037348 Australia
## 58 2020 6.891537 Australia
## 59 2021 5.826441 Australia
## 60 2022 4.653036 Australia
## 61 2023 4.564668 Australia
## 62 2024 NA Australia
## 63 NA NA Austria
## 64 1995 7.354386 Austria
## 65 1996 7.322514 Austria
## 66 1997 7.023768 Austria
## 67 1998 6.647258 Austria
## 68 1999 6.325752 Austria
## 69 2000 5.845738 Austria
## 70 2001 5.990523 Austria
## 71 2002 6.550369 Austria
## 72 2003 6.762772 Austria
## 73 2004 6.528094 Austria
## 74 2005 6.193322 Austria
## 75 2006 5.750215 Austria
## 76 2007 5.503190 Austria
## 77 2008 5.913614 Austria
## 78 2009 8.135153 Austria
## 79 2010 8.446607 Austria
## 80 2011 8.155387 Austria
## 81 2012 8.279416 Austria
## 82 2013 8.233751 Austria
## 83 2014 7.600981 Austria
## 84 2015 6.988355 Austria
## 85 2016 6.513791 Austria
## 86 2017 5.908083 Austria
## 87 2018 5.356592 Austria
## 88 2019 5.037348 Austria
## 89 2020 6.891537 Austria
## 90 2021 5.826441 Austria
## 91 2022 4.653036 Austria
## 92 2023 4.564668 Austria
## 93 2024 NA Austria
## 94 NA NA Belgium
## 95 1995 7.354386 Belgium
## 96 1996 7.322514 Belgium
## 97 1997 7.023768 Belgium
## 98 1998 6.647258 Belgium
## 99 1999 6.325752 Belgium
## 100 2000 5.845738 Belgium
## 101 2001 5.990523 Belgium
## 102 2002 6.550369 Belgium
## 103 2003 6.762772 Belgium
## 104 2004 6.528094 Belgium
## 105 2005 6.193322 Belgium
## 106 2006 5.750215 Belgium
## 107 2007 5.503190 Belgium
## 108 2008 5.913614 Belgium
## 109 2009 8.135153 Belgium
## 110 2010 8.446607 Belgium
## 111 2011 8.155387 Belgium
## 112 2012 8.279416 Belgium
## 113 2013 8.233751 Belgium
## 114 2014 7.600981 Belgium
## 115 2015 6.988355 Belgium
## 116 2016 6.513791 Belgium
## 117 2017 5.908083 Belgium
## 118 2018 5.356592 Belgium
## 119 2019 5.037348 Belgium
## 120 2020 6.891537 Belgium
## 121 2021 5.826441 Belgium
## 122 2022 4.653036 Belgium
## 123 2023 4.564668 Belgium
## 124 2024 NA Belgium
## 125 NA NA Bulgaria
## 126 1995 7.354386 Bulgaria
## 127 1996 7.322514 Bulgaria
## 128 1997 7.023768 Bulgaria
## 129 1998 6.647258 Bulgaria
## 130 1999 6.325752 Bulgaria
## 131 2000 5.845738 Bulgaria
## 132 2001 5.990523 Bulgaria
## 133 2002 6.550369 Bulgaria
## 134 2003 6.762772 Bulgaria
## 135 2004 6.528094 Bulgaria
## 136 2005 6.193322 Bulgaria
## 137 2006 5.750215 Bulgaria
## 138 2007 5.503190 Bulgaria
## 139 2008 5.913614 Bulgaria
## 140 2009 8.135153 Bulgaria
## 141 2010 8.446607 Bulgaria
## 142 2011 8.155387 Bulgaria
## 143 2012 8.279416 Bulgaria
## 144 2013 8.233751 Bulgaria
## 145 2014 7.600981 Bulgaria
## 146 2015 6.988355 Bulgaria
## 147 2016 6.513791 Bulgaria
## 148 2017 5.908083 Bulgaria
## 149 2018 5.356592 Bulgaria
## 150 2019 5.037348 Bulgaria
## 151 2020 6.891537 Bulgaria
## 152 2021 5.826441 Bulgaria
## 153 2022 4.653036 Bulgaria
## 154 2023 4.564668 Bulgaria
## 155 2024 NA Bulgaria
## 156 NA NA Bahrain
## 157 1995 7.354386 Bahrain
## 158 1996 7.322514 Bahrain
## 159 1997 7.023768 Bahrain
## 160 1998 6.647258 Bahrain
## 161 1999 6.325752 Bahrain
## 162 2000 5.845738 Bahrain
## 163 2001 5.990523 Bahrain
## 164 2002 6.550369 Bahrain
## 165 2003 6.762772 Bahrain
## 166 2004 6.528094 Bahrain
## 167 2005 6.193322 Bahrain
## 168 2006 5.750215 Bahrain
## 169 2007 5.503190 Bahrain
## 170 2008 5.913614 Bahrain
## 171 2009 8.135153 Bahrain
## 172 2010 8.446607 Bahrain
## 173 2011 8.155387 Bahrain
## 174 2012 8.279416 Bahrain
## 175 2013 8.233751 Bahrain
## 176 2014 7.600981 Bahrain
## 177 2015 6.988355 Bahrain
## 178 2016 6.513791 Bahrain
## 179 2017 5.908083 Bahrain
## 180 2018 5.356592 Bahrain
## 181 2019 5.037348 Bahrain
## 182 2020 6.891537 Bahrain
## 183 2021 5.826441 Bahrain
## 184 2022 4.653036 Bahrain
## 185 2023 4.564668 Bahrain
## 186 2024 NA Bahrain
## 187 NA NA Belarus
## 188 1995 7.354386 Belarus
## 189 1996 7.322514 Belarus
## 190 1997 7.023768 Belarus
## 191 1998 6.647258 Belarus
## 192 1999 6.325752 Belarus
## 193 2000 5.845738 Belarus
## 194 2001 5.990523 Belarus
## 195 2002 6.550369 Belarus
## 196 2003 6.762772 Belarus
## 197 2004 6.528094 Belarus
## 198 2005 6.193322 Belarus
## 199 2006 5.750215 Belarus
## 200 2007 5.503190 Belarus
## 201 2008 5.913614 Belarus
## 202 2009 8.135153 Belarus
## 203 2010 8.446607 Belarus
## 204 2011 8.155387 Belarus
## 205 2012 8.279416 Belarus
## 206 2013 8.233751 Belarus
## 207 2014 7.600981 Belarus
## 208 2015 6.988355 Belarus
## 209 2016 6.513791 Belarus
## 210 2017 5.908083 Belarus
## 211 2018 5.356592 Belarus
## 212 2019 5.037348 Belarus
## 213 2020 6.891537 Belarus
## 214 2021 5.826441 Belarus
## 215 2022 4.653036 Belarus
## 216 2023 4.564668 Belarus
## 217 2024 NA Belarus
## 218 NA NA Brazil
## 219 1995 7.354386 Brazil
## 220 1996 7.322514 Brazil
## 221 1997 7.023768 Brazil
## 222 1998 6.647258 Brazil
## 223 1999 6.325752 Brazil
## 224 2000 5.845738 Brazil
## 225 2001 5.990523 Brazil
## 226 2002 6.550369 Brazil
## 227 2003 6.762772 Brazil
## 228 2004 6.528094 Brazil
## 229 2005 6.193322 Brazil
## 230 2006 5.750215 Brazil
## 231 2007 5.503190 Brazil
## 232 2008 5.913614 Brazil
## 233 2009 8.135153 Brazil
## 234 2010 8.446607 Brazil
## 235 2011 8.155387 Brazil
## 236 2012 8.279416 Brazil
## 237 2013 8.233751 Brazil
## 238 2014 7.600981 Brazil
## 239 2015 6.988355 Brazil
## 240 2016 6.513791 Brazil
## 241 2017 5.908083 Brazil
## 242 2018 5.356592 Brazil
## 243 2019 5.037348 Brazil
## 244 2020 6.891537 Brazil
## 245 2021 5.826441 Brazil
## 246 2022 4.653036 Brazil
## 247 2023 4.564668 Brazil
## 248 2024 NA Brazil
## 249 NA NA Canada
## 250 1995 7.354386 Canada
## 251 1996 7.322514 Canada
## 252 1997 7.023768 Canada
## 253 1998 6.647258 Canada
## 254 1999 6.325752 Canada
## 255 2000 5.845738 Canada
## 256 2001 5.990523 Canada
## 257 2002 6.550369 Canada
## 258 2003 6.762772 Canada
## 259 2004 6.528094 Canada
## 260 2005 6.193322 Canada
## 261 2006 5.750215 Canada
## 262 2007 5.503190 Canada
## 263 2008 5.913614 Canada
## 264 2009 8.135153 Canada
## 265 2010 8.446607 Canada
## 266 2011 8.155387 Canada
## 267 2012 8.279416 Canada
## 268 2013 8.233751 Canada
## 269 2014 7.600981 Canada
## 270 2015 6.988355 Canada
## 271 2016 6.513791 Canada
## 272 2017 5.908083 Canada
## 273 2018 5.356592 Canada
## 274 2019 5.037348 Canada
## 275 2020 6.891537 Canada
## 276 2021 5.826441 Canada
## 277 2022 4.653036 Canada
## 278 2023 4.564668 Canada
## 279 2024 NA Canada
## 280 NA NA Switzerland
## 281 1995 7.354386 Switzerland
## 282 1996 7.322514 Switzerland
## 283 1997 7.023768 Switzerland
## 284 1998 6.647258 Switzerland
## 285 1999 6.325752 Switzerland
## 286 2000 5.845738 Switzerland
## 287 2001 5.990523 Switzerland
## 288 2002 6.550369 Switzerland
## 289 2003 6.762772 Switzerland
## 290 2004 6.528094 Switzerland
## 291 2005 6.193322 Switzerland
## 292 2006 5.750215 Switzerland
## 293 2007 5.503190 Switzerland
## 294 2008 5.913614 Switzerland
## 295 2009 8.135153 Switzerland
## 296 2010 8.446607 Switzerland
## 297 2011 8.155387 Switzerland
## 298 2012 8.279416 Switzerland
## 299 2013 8.233751 Switzerland
## 300 2014 7.600981 Switzerland
## 301 2015 6.988355 Switzerland
## 302 2016 6.513791 Switzerland
## 303 2017 5.908083 Switzerland
## 304 2018 5.356592 Switzerland
## 305 2019 5.037348 Switzerland
## 306 2020 6.891537 Switzerland
## 307 2021 5.826441 Switzerland
## 308 2022 4.653036 Switzerland
## 309 2023 4.564668 Switzerland
## 310 2024 NA Switzerland
## 311 NA NA Chile
## 312 1995 7.354386 Chile
## 313 1996 7.322514 Chile
## 314 1997 7.023768 Chile
## 315 1998 6.647258 Chile
## 316 1999 6.325752 Chile
## 317 2000 5.845738 Chile
## 318 2001 5.990523 Chile
## 319 2002 6.550369 Chile
## 320 2003 6.762772 Chile
## 321 2004 6.528094 Chile
## 322 2005 6.193322 Chile
## 323 2006 5.750215 Chile
## 324 2007 5.503190 Chile
## 325 2008 5.913614 Chile
## 326 2009 8.135153 Chile
## 327 2010 8.446607 Chile
## 328 2011 8.155387 Chile
## 329 2012 8.279416 Chile
## 330 2013 8.233751 Chile
## 331 2014 7.600981 Chile
## 332 2015 6.988355 Chile
## 333 2016 6.513791 Chile
## 334 2017 5.908083 Chile
## 335 2018 5.356592 Chile
## 336 2019 5.037348 Chile
## 337 2020 6.891537 Chile
## 338 2021 5.826441 Chile
## 339 2022 4.653036 Chile
## 340 2023 4.564668 Chile
## 341 2024 NA Chile
## 342 NA NA Colombia
## 343 1995 7.354386 Colombia
## 344 1996 7.322514 Colombia
## 345 1997 7.023768 Colombia
## 346 1998 6.647258 Colombia
## 347 1999 6.325752 Colombia
## 348 2000 5.845738 Colombia
## 349 2001 5.990523 Colombia
## 350 2002 6.550369 Colombia
## 351 2003 6.762772 Colombia
## 352 2004 6.528094 Colombia
## 353 2005 6.193322 Colombia
## 354 2006 5.750215 Colombia
## 355 2007 5.503190 Colombia
## 356 2008 5.913614 Colombia
## 357 2009 8.135153 Colombia
## 358 2010 8.446607 Colombia
## 359 2011 8.155387 Colombia
## 360 2012 8.279416 Colombia
## 361 2013 8.233751 Colombia
## 362 2014 7.600981 Colombia
## 363 2015 6.988355 Colombia
## 364 2016 6.513791 Colombia
## 365 2017 5.908083 Colombia
## 366 2018 5.356592 Colombia
## 367 2019 5.037348 Colombia
## 368 2020 6.891537 Colombia
## 369 2021 5.826441 Colombia
## 370 2022 4.653036 Colombia
## 371 2023 4.564668 Colombia
## 372 2024 NA Colombia
## 373 NA NA Cyprus
## 374 1995 7.354386 Cyprus
## 375 1996 7.322514 Cyprus
## 376 1997 7.023768 Cyprus
## 377 1998 6.647258 Cyprus
## 378 1999 6.325752 Cyprus
## 379 2000 5.845738 Cyprus
## 380 2001 5.990523 Cyprus
## 381 2002 6.550369 Cyprus
## 382 2003 6.762772 Cyprus
## 383 2004 6.528094 Cyprus
## 384 2005 6.193322 Cyprus
## 385 2006 5.750215 Cyprus
## 386 2007 5.503190 Cyprus
## 387 2008 5.913614 Cyprus
## 388 2009 8.135153 Cyprus
## 389 2010 8.446607 Cyprus
## 390 2011 8.155387 Cyprus
## 391 2012 8.279416 Cyprus
## 392 2013 8.233751 Cyprus
## 393 2014 7.600981 Cyprus
## 394 2015 6.988355 Cyprus
## 395 2016 6.513791 Cyprus
## 396 2017 5.908083 Cyprus
## 397 2018 5.356592 Cyprus
## 398 2019 5.037348 Cyprus
## 399 2020 6.891537 Cyprus
## 400 2021 5.826441 Cyprus
## 401 2022 4.653036 Cyprus
## 402 2023 4.564668 Cyprus
## 403 2024 NA Cyprus
## 404 NA NA Czech.Republic
## 405 1995 7.354386 Czech.Republic
## 406 1996 7.322514 Czech.Republic
## 407 1997 7.023768 Czech.Republic
## 408 1998 6.647258 Czech.Republic
## 409 1999 6.325752 Czech.Republic
## 410 2000 5.845738 Czech.Republic
## 411 2001 5.990523 Czech.Republic
## 412 2002 6.550369 Czech.Republic
## 413 2003 6.762772 Czech.Republic
## 414 2004 6.528094 Czech.Republic
## 415 2005 6.193322 Czech.Republic
## 416 2006 5.750215 Czech.Republic
## 417 2007 5.503190 Czech.Republic
## 418 2008 5.913614 Czech.Republic
## 419 2009 8.135153 Czech.Republic
## 420 2010 8.446607 Czech.Republic
## 421 2011 8.155387 Czech.Republic
## 422 2012 8.279416 Czech.Republic
## 423 2013 8.233751 Czech.Republic
## 424 2014 7.600981 Czech.Republic
## 425 2015 6.988355 Czech.Republic
## 426 2016 6.513791 Czech.Republic
## 427 2017 5.908083 Czech.Republic
## 428 2018 5.356592 Czech.Republic
## 429 2019 5.037348 Czech.Republic
## 430 2020 6.891537 Czech.Republic
## 431 2021 5.826441 Czech.Republic
## 432 2022 4.653036 Czech.Republic
## 433 2023 4.564668 Czech.Republic
## 434 2024 NA Czech.Republic
## 435 NA NA Germany
## 436 1995 7.354386 Germany
## 437 1996 7.322514 Germany
## 438 1997 7.023768 Germany
## 439 1998 6.647258 Germany
## 440 1999 6.325752 Germany
## 441 2000 5.845738 Germany
## 442 2001 5.990523 Germany
## 443 2002 6.550369 Germany
## 444 2003 6.762772 Germany
## 445 2004 6.528094 Germany
## 446 2005 6.193322 Germany
## 447 2006 5.750215 Germany
## 448 2007 5.503190 Germany
## 449 2008 5.913614 Germany
## 450 2009 8.135153 Germany
## 451 2010 8.446607 Germany
## 452 2011 8.155387 Germany
## 453 2012 8.279416 Germany
## 454 2013 8.233751 Germany
## 455 2014 7.600981 Germany
## 456 2015 6.988355 Germany
## 457 2016 6.513791 Germany
## 458 2017 5.908083 Germany
## 459 2018 5.356592 Germany
## 460 2019 5.037348 Germany
## 461 2020 6.891537 Germany
## 462 2021 5.826441 Germany
## 463 2022 4.653036 Germany
## 464 2023 4.564668 Germany
## 465 2024 NA Germany
## 466 NA NA Denmark
## 467 1995 7.354386 Denmark
## 468 1996 7.322514 Denmark
## 469 1997 7.023768 Denmark
## 470 1998 6.647258 Denmark
## 471 1999 6.325752 Denmark
## 472 2000 5.845738 Denmark
## 473 2001 5.990523 Denmark
## 474 2002 6.550369 Denmark
## 475 2003 6.762772 Denmark
## 476 2004 6.528094 Denmark
## 477 2005 6.193322 Denmark
## 478 2006 5.750215 Denmark
## 479 2007 5.503190 Denmark
## 480 2008 5.913614 Denmark
## 481 2009 8.135153 Denmark
## 482 2010 8.446607 Denmark
## 483 2011 8.155387 Denmark
## 484 2012 8.279416 Denmark
## 485 2013 8.233751 Denmark
## 486 2014 7.600981 Denmark
## 487 2015 6.988355 Denmark
## 488 2016 6.513791 Denmark
## 489 2017 5.908083 Denmark
## 490 2018 5.356592 Denmark
## 491 2019 5.037348 Denmark
## 492 2020 6.891537 Denmark
## 493 2021 5.826441 Denmark
## 494 2022 4.653036 Denmark
## 495 2023 4.564668 Denmark
## 496 2024 NA Denmark
## 497 NA NA Dominican.Republic
## 498 1995 7.354386 Dominican.Republic
## 499 1996 7.322514 Dominican.Republic
## 500 1997 7.023768 Dominican.Republic
## 501 1998 6.647258 Dominican.Republic
## 502 1999 6.325752 Dominican.Republic
## 503 2000 5.845738 Dominican.Republic
## 504 2001 5.990523 Dominican.Republic
## 505 2002 6.550369 Dominican.Republic
## 506 2003 6.762772 Dominican.Republic
## 507 2004 6.528094 Dominican.Republic
## 508 2005 6.193322 Dominican.Republic
## 509 2006 5.750215 Dominican.Republic
## 510 2007 5.503190 Dominican.Republic
## 511 2008 5.913614 Dominican.Republic
## 512 2009 8.135153 Dominican.Republic
## 513 2010 8.446607 Dominican.Republic
## 514 2011 8.155387 Dominican.Republic
## 515 2012 8.279416 Dominican.Republic
## 516 2013 8.233751 Dominican.Republic
## 517 2014 7.600981 Dominican.Republic
## 518 2015 6.988355 Dominican.Republic
## 519 2016 6.513791 Dominican.Republic
## 520 2017 5.908083 Dominican.Republic
## 521 2018 5.356592 Dominican.Republic
## 522 2019 5.037348 Dominican.Republic
## 523 2020 6.891537 Dominican.Republic
## 524 2021 5.826441 Dominican.Republic
## 525 2022 4.653036 Dominican.Republic
## 526 2023 4.564668 Dominican.Republic
## 527 2024 NA Dominican.Republic
## 528 NA NA EMDE.East.Asia...Pacific
## 529 1995 7.354386 EMDE.East.Asia...Pacific
## 530 1996 7.322514 EMDE.East.Asia...Pacific
## 531 1997 7.023768 EMDE.East.Asia...Pacific
## 532 1998 6.647258 EMDE.East.Asia...Pacific
## 533 1999 6.325752 EMDE.East.Asia...Pacific
## 534 2000 5.845738 EMDE.East.Asia...Pacific
## 535 2001 5.990523 EMDE.East.Asia...Pacific
## 536 2002 6.550369 EMDE.East.Asia...Pacific
## 537 2003 6.762772 EMDE.East.Asia...Pacific
## 538 2004 6.528094 EMDE.East.Asia...Pacific
## 539 2005 6.193322 EMDE.East.Asia...Pacific
## 540 2006 5.750215 EMDE.East.Asia...Pacific
## 541 2007 5.503190 EMDE.East.Asia...Pacific
## 542 2008 5.913614 EMDE.East.Asia...Pacific
## 543 2009 8.135153 EMDE.East.Asia...Pacific
## 544 2010 8.446607 EMDE.East.Asia...Pacific
## 545 2011 8.155387 EMDE.East.Asia...Pacific
## 546 2012 8.279416 EMDE.East.Asia...Pacific
## 547 2013 8.233751 EMDE.East.Asia...Pacific
## 548 2014 7.600981 EMDE.East.Asia...Pacific
## 549 2015 6.988355 EMDE.East.Asia...Pacific
## 550 2016 6.513791 EMDE.East.Asia...Pacific
## 551 2017 5.908083 EMDE.East.Asia...Pacific
## 552 2018 5.356592 EMDE.East.Asia...Pacific
## 553 2019 5.037348 EMDE.East.Asia...Pacific
## 554 2020 6.891537 EMDE.East.Asia...Pacific
## 555 2021 5.826441 EMDE.East.Asia...Pacific
## 556 2022 4.653036 EMDE.East.Asia...Pacific
## 557 2023 4.564668 EMDE.East.Asia...Pacific
## 558 2024 NA EMDE.East.Asia...Pacific
## 559 NA NA EMDE.Europe...Central.Asia
## 560 1995 7.354386 EMDE.Europe...Central.Asia
## 561 1996 7.322514 EMDE.Europe...Central.Asia
## 562 1997 7.023768 EMDE.Europe...Central.Asia
## 563 1998 6.647258 EMDE.Europe...Central.Asia
## 564 1999 6.325752 EMDE.Europe...Central.Asia
## 565 2000 5.845738 EMDE.Europe...Central.Asia
## 566 2001 5.990523 EMDE.Europe...Central.Asia
## 567 2002 6.550369 EMDE.Europe...Central.Asia
## 568 2003 6.762772 EMDE.Europe...Central.Asia
## 569 2004 6.528094 EMDE.Europe...Central.Asia
## 570 2005 6.193322 EMDE.Europe...Central.Asia
## 571 2006 5.750215 EMDE.Europe...Central.Asia
## 572 2007 5.503190 EMDE.Europe...Central.Asia
## 573 2008 5.913614 EMDE.Europe...Central.Asia
## 574 2009 8.135153 EMDE.Europe...Central.Asia
## 575 2010 8.446607 EMDE.Europe...Central.Asia
## 576 2011 8.155387 EMDE.Europe...Central.Asia
## 577 2012 8.279416 EMDE.Europe...Central.Asia
## 578 2013 8.233751 EMDE.Europe...Central.Asia
## 579 2014 7.600981 EMDE.Europe...Central.Asia
## 580 2015 6.988355 EMDE.Europe...Central.Asia
## 581 2016 6.513791 EMDE.Europe...Central.Asia
## 582 2017 5.908083 EMDE.Europe...Central.Asia
## 583 2018 5.356592 EMDE.Europe...Central.Asia
## 584 2019 5.037348 EMDE.Europe...Central.Asia
## 585 2020 6.891537 EMDE.Europe...Central.Asia
## 586 2021 5.826441 EMDE.Europe...Central.Asia
## 587 2022 4.653036 EMDE.Europe...Central.Asia
## 588 2023 4.564668 EMDE.Europe...Central.Asia
## 589 2024 NA EMDE.Europe...Central.Asia
## 590 NA NA Ecuador
## 591 1995 7.354386 Ecuador
## 592 1996 7.322514 Ecuador
## 593 1997 7.023768 Ecuador
## 594 1998 6.647258 Ecuador
## 595 1999 6.325752 Ecuador
## 596 2000 5.845738 Ecuador
## 597 2001 5.990523 Ecuador
## 598 2002 6.550369 Ecuador
## 599 2003 6.762772 Ecuador
## 600 2004 6.528094 Ecuador
## 601 2005 6.193322 Ecuador
## 602 2006 5.750215 Ecuador
## 603 2007 5.503190 Ecuador
## 604 2008 5.913614 Ecuador
## 605 2009 8.135153 Ecuador
## 606 2010 8.446607 Ecuador
## 607 2011 8.155387 Ecuador
## 608 2012 8.279416 Ecuador
## 609 2013 8.233751 Ecuador
## 610 2014 7.600981 Ecuador
## 611 2015 6.988355 Ecuador
## 612 2016 6.513791 Ecuador
## 613 2017 5.908083 Ecuador
## 614 2018 5.356592 Ecuador
## 615 2019 5.037348 Ecuador
## 616 2020 6.891537 Ecuador
## 617 2021 5.826441 Ecuador
## 618 2022 4.653036 Ecuador
## 619 2023 4.564668 Ecuador
## 620 2024 NA Ecuador
## 621 NA NA Egypt..Arab.Rep.
## 622 1995 7.354386 Egypt..Arab.Rep.
## 623 1996 7.322514 Egypt..Arab.Rep.
## 624 1997 7.023768 Egypt..Arab.Rep.
## 625 1998 6.647258 Egypt..Arab.Rep.
## 626 1999 6.325752 Egypt..Arab.Rep.
## 627 2000 5.845738 Egypt..Arab.Rep.
## 628 2001 5.990523 Egypt..Arab.Rep.
## 629 2002 6.550369 Egypt..Arab.Rep.
## 630 2003 6.762772 Egypt..Arab.Rep.
## 631 2004 6.528094 Egypt..Arab.Rep.
## 632 2005 6.193322 Egypt..Arab.Rep.
## 633 2006 5.750215 Egypt..Arab.Rep.
## 634 2007 5.503190 Egypt..Arab.Rep.
## 635 2008 5.913614 Egypt..Arab.Rep.
## 636 2009 8.135153 Egypt..Arab.Rep.
## 637 2010 8.446607 Egypt..Arab.Rep.
## 638 2011 8.155387 Egypt..Arab.Rep.
## 639 2012 8.279416 Egypt..Arab.Rep.
## 640 2013 8.233751 Egypt..Arab.Rep.
## 641 2014 7.600981 Egypt..Arab.Rep.
## 642 2015 6.988355 Egypt..Arab.Rep.
## 643 2016 6.513791 Egypt..Arab.Rep.
## 644 2017 5.908083 Egypt..Arab.Rep.
## 645 2018 5.356592 Egypt..Arab.Rep.
## 646 2019 5.037348 Egypt..Arab.Rep.
## 647 2020 6.891537 Egypt..Arab.Rep.
## 648 2021 5.826441 Egypt..Arab.Rep.
## 649 2022 4.653036 Egypt..Arab.Rep.
## 650 2023 4.564668 Egypt..Arab.Rep.
## 651 2024 NA Egypt..Arab.Rep.
## 652 NA NA Emerging.Market.and.Developing.Economies..EMDEs.
## 653 1995 7.354386 Emerging.Market.and.Developing.Economies..EMDEs.
## 654 1996 7.322514 Emerging.Market.and.Developing.Economies..EMDEs.
## 655 1997 7.023768 Emerging.Market.and.Developing.Economies..EMDEs.
## 656 1998 6.647258 Emerging.Market.and.Developing.Economies..EMDEs.
## 657 1999 6.325752 Emerging.Market.and.Developing.Economies..EMDEs.
## 658 2000 5.845738 Emerging.Market.and.Developing.Economies..EMDEs.
## 659 2001 5.990523 Emerging.Market.and.Developing.Economies..EMDEs.
## 660 2002 6.550369 Emerging.Market.and.Developing.Economies..EMDEs.
## 661 2003 6.762772 Emerging.Market.and.Developing.Economies..EMDEs.
## 662 2004 6.528094 Emerging.Market.and.Developing.Economies..EMDEs.
## 663 2005 6.193322 Emerging.Market.and.Developing.Economies..EMDEs.
## 664 2006 5.750215 Emerging.Market.and.Developing.Economies..EMDEs.
## 665 2007 5.503190 Emerging.Market.and.Developing.Economies..EMDEs.
## 666 2008 5.913614 Emerging.Market.and.Developing.Economies..EMDEs.
## 667 2009 8.135153 Emerging.Market.and.Developing.Economies..EMDEs.
## 668 2010 8.446607 Emerging.Market.and.Developing.Economies..EMDEs.
## 669 2011 8.155387 Emerging.Market.and.Developing.Economies..EMDEs.
## 670 2012 8.279416 Emerging.Market.and.Developing.Economies..EMDEs.
## 671 2013 8.233751 Emerging.Market.and.Developing.Economies..EMDEs.
## 672 2014 7.600981 Emerging.Market.and.Developing.Economies..EMDEs.
## 673 2015 6.988355 Emerging.Market.and.Developing.Economies..EMDEs.
## 674 2016 6.513791 Emerging.Market.and.Developing.Economies..EMDEs.
## 675 2017 5.908083 Emerging.Market.and.Developing.Economies..EMDEs.
## 676 2018 5.356592 Emerging.Market.and.Developing.Economies..EMDEs.
## 677 2019 5.037348 Emerging.Market.and.Developing.Economies..EMDEs.
## 678 2020 6.891537 Emerging.Market.and.Developing.Economies..EMDEs.
## 679 2021 5.826441 Emerging.Market.and.Developing.Economies..EMDEs.
## 680 2022 4.653036 Emerging.Market.and.Developing.Economies..EMDEs.
## 681 2023 4.564668 Emerging.Market.and.Developing.Economies..EMDEs.
## 682 2024 NA Emerging.Market.and.Developing.Economies..EMDEs.
## 683 NA NA Spain
## 684 1995 7.354386 Spain
## 685 1996 7.322514 Spain
## 686 1997 7.023768 Spain
## 687 1998 6.647258 Spain
## 688 1999 6.325752 Spain
## 689 2000 5.845738 Spain
## 690 2001 5.990523 Spain
## 691 2002 6.550369 Spain
## 692 2003 6.762772 Spain
## 693 2004 6.528094 Spain
## 694 2005 6.193322 Spain
## 695 2006 5.750215 Spain
## 696 2007 5.503190 Spain
## 697 2008 5.913614 Spain
## 698 2009 8.135153 Spain
## 699 2010 8.446607 Spain
## 700 2011 8.155387 Spain
## 701 2012 8.279416 Spain
## 702 2013 8.233751 Spain
## 703 2014 7.600981 Spain
## 704 2015 6.988355 Spain
## 705 2016 6.513791 Spain
## 706 2017 5.908083 Spain
## 707 2018 5.356592 Spain
## 708 2019 5.037348 Spain
## 709 2020 6.891537 Spain
## 710 2021 5.826441 Spain
## 711 2022 4.653036 Spain
## 712 2023 4.564668 Spain
## 713 2024 NA Spain
## 714 NA NA Estonia
## 715 1995 7.354386 Estonia
## 716 1996 7.322514 Estonia
## 717 1997 7.023768 Estonia
## 718 1998 6.647258 Estonia
## 719 1999 6.325752 Estonia
## 720 2000 5.845738 Estonia
## 721 2001 5.990523 Estonia
## 722 2002 6.550369 Estonia
## 723 2003 6.762772 Estonia
## 724 2004 6.528094 Estonia
## 725 2005 6.193322 Estonia
## 726 2006 5.750215 Estonia
## 727 2007 5.503190 Estonia
## 728 2008 5.913614 Estonia
## 729 2009 8.135153 Estonia
## 730 2010 8.446607 Estonia
## 731 2011 8.155387 Estonia
## 732 2012 8.279416 Estonia
## 733 2013 8.233751 Estonia
## 734 2014 7.600981 Estonia
## 735 2015 6.988355 Estonia
## 736 2016 6.513791 Estonia
## 737 2017 5.908083 Estonia
## 738 2018 5.356592 Estonia
## 739 2019 5.037348 Estonia
## 740 2020 6.891537 Estonia
## 741 2021 5.826441 Estonia
## 742 2022 4.653036 Estonia
## 743 2023 4.564668 Estonia
## 744 2024 NA Estonia
## 745 NA NA Finland
## 746 1995 7.354386 Finland
## 747 1996 7.322514 Finland
## 748 1997 7.023768 Finland
## 749 1998 6.647258 Finland
## 750 1999 6.325752 Finland
## 751 2000 5.845738 Finland
## 752 2001 5.990523 Finland
## 753 2002 6.550369 Finland
## 754 2003 6.762772 Finland
## 755 2004 6.528094 Finland
## 756 2005 6.193322 Finland
## 757 2006 5.750215 Finland
## 758 2007 5.503190 Finland
## 759 2008 5.913614 Finland
## 760 2009 8.135153 Finland
## 761 2010 8.446607 Finland
## 762 2011 8.155387 Finland
## 763 2012 8.279416 Finland
## 764 2013 8.233751 Finland
## 765 2014 7.600981 Finland
## 766 2015 6.988355 Finland
## 767 2016 6.513791 Finland
## 768 2017 5.908083 Finland
## 769 2018 5.356592 Finland
## 770 2019 5.037348 Finland
## 771 2020 6.891537 Finland
## 772 2021 5.826441 Finland
## 773 2022 4.653036 Finland
## 774 2023 4.564668 Finland
## 775 2024 NA Finland
## 776 NA NA France
## 777 1995 7.354386 France
## 778 1996 7.322514 France
## 779 1997 7.023768 France
## 780 1998 6.647258 France
## 781 1999 6.325752 France
## 782 2000 5.845738 France
## 783 2001 5.990523 France
## 784 2002 6.550369 France
## 785 2003 6.762772 France
## 786 2004 6.528094 France
## 787 2005 6.193322 France
## 788 2006 5.750215 France
## 789 2007 5.503190 France
## 790 2008 5.913614 France
## 791 2009 8.135153 France
## 792 2010 8.446607 France
## 793 2011 8.155387 France
## 794 2012 8.279416 France
## 795 2013 8.233751 France
## 796 2014 7.600981 France
## 797 2015 6.988355 France
## 798 2016 6.513791 France
## 799 2017 5.908083 France
## 800 2018 5.356592 France
## 801 2019 5.037348 France
## 802 2020 6.891537 France
## 803 2021 5.826441 France
## 804 2022 4.653036 France
## 805 2023 4.564668 France
## 806 2024 NA France
## 807 NA NA United.Kingdom
## 808 1995 7.354386 United.Kingdom
## 809 1996 7.322514 United.Kingdom
## 810 1997 7.023768 United.Kingdom
## 811 1998 6.647258 United.Kingdom
## 812 1999 6.325752 United.Kingdom
## 813 2000 5.845738 United.Kingdom
## 814 2001 5.990523 United.Kingdom
## 815 2002 6.550369 United.Kingdom
## 816 2003 6.762772 United.Kingdom
## 817 2004 6.528094 United.Kingdom
## 818 2005 6.193322 United.Kingdom
## 819 2006 5.750215 United.Kingdom
## 820 2007 5.503190 United.Kingdom
## 821 2008 5.913614 United.Kingdom
## 822 2009 8.135153 United.Kingdom
## 823 2010 8.446607 United.Kingdom
## 824 2011 8.155387 United.Kingdom
## 825 2012 8.279416 United.Kingdom
## 826 2013 8.233751 United.Kingdom
## 827 2014 7.600981 United.Kingdom
## 828 2015 6.988355 United.Kingdom
## 829 2016 6.513791 United.Kingdom
## 830 2017 5.908083 United.Kingdom
## 831 2018 5.356592 United.Kingdom
## 832 2019 5.037348 United.Kingdom
## 833 2020 6.891537 United.Kingdom
## 834 2021 5.826441 United.Kingdom
## 835 2022 4.653036 United.Kingdom
## 836 2023 4.564668 United.Kingdom
## 837 2024 NA United.Kingdom
## 838 NA NA Greece
## 839 1995 7.354386 Greece
## 840 1996 7.322514 Greece
## 841 1997 7.023768 Greece
## 842 1998 6.647258 Greece
## 843 1999 6.325752 Greece
## 844 2000 5.845738 Greece
## 845 2001 5.990523 Greece
## 846 2002 6.550369 Greece
## 847 2003 6.762772 Greece
## 848 2004 6.528094 Greece
## 849 2005 6.193322 Greece
## 850 2006 5.750215 Greece
## 851 2007 5.503190 Greece
## 852 2008 5.913614 Greece
## 853 2009 8.135153 Greece
## 854 2010 8.446607 Greece
## 855 2011 8.155387 Greece
## 856 2012 8.279416 Greece
## 857 2013 8.233751 Greece
## 858 2014 7.600981 Greece
## 859 2015 6.988355 Greece
## 860 2016 6.513791 Greece
## 861 2017 5.908083 Greece
## 862 2018 5.356592 Greece
## 863 2019 5.037348 Greece
## 864 2020 6.891537 Greece
## 865 2021 5.826441 Greece
## 866 2022 4.653036 Greece
## 867 2023 4.564668 Greece
## 868 2024 NA Greece
## 869 NA NA High.Income.Countries
## 870 1995 7.354386 High.Income.Countries
## 871 1996 7.322514 High.Income.Countries
## 872 1997 7.023768 High.Income.Countries
## 873 1998 6.647258 High.Income.Countries
## 874 1999 6.325752 High.Income.Countries
## 875 2000 5.845738 High.Income.Countries
## 876 2001 5.990523 High.Income.Countries
## 877 2002 6.550369 High.Income.Countries
## 878 2003 6.762772 High.Income.Countries
## 879 2004 6.528094 High.Income.Countries
## 880 2005 6.193322 High.Income.Countries
## 881 2006 5.750215 High.Income.Countries
## 882 2007 5.503190 High.Income.Countries
## 883 2008 5.913614 High.Income.Countries
## 884 2009 8.135153 High.Income.Countries
## 885 2010 8.446607 High.Income.Countries
## 886 2011 8.155387 High.Income.Countries
## 887 2012 8.279416 High.Income.Countries
## 888 2013 8.233751 High.Income.Countries
## 889 2014 7.600981 High.Income.Countries
## 890 2015 6.988355 High.Income.Countries
## 891 2016 6.513791 High.Income.Countries
## 892 2017 5.908083 High.Income.Countries
## 893 2018 5.356592 High.Income.Countries
## 894 2019 5.037348 High.Income.Countries
## 895 2020 6.891537 High.Income.Countries
## 896 2021 5.826441 High.Income.Countries
## 897 2022 4.653036 High.Income.Countries
## 898 2023 4.564668 High.Income.Countries
## 899 2024 NA High.Income.Countries
## 900 NA NA Hong.Kong.SAR..China
## 901 1995 7.354386 Hong.Kong.SAR..China
## 902 1996 7.322514 Hong.Kong.SAR..China
## 903 1997 7.023768 Hong.Kong.SAR..China
## 904 1998 6.647258 Hong.Kong.SAR..China
## 905 1999 6.325752 Hong.Kong.SAR..China
## 906 2000 5.845738 Hong.Kong.SAR..China
## 907 2001 5.990523 Hong.Kong.SAR..China
## 908 2002 6.550369 Hong.Kong.SAR..China
## 909 2003 6.762772 Hong.Kong.SAR..China
## 910 2004 6.528094 Hong.Kong.SAR..China
## 911 2005 6.193322 Hong.Kong.SAR..China
## 912 2006 5.750215 Hong.Kong.SAR..China
## 913 2007 5.503190 Hong.Kong.SAR..China
## 914 2008 5.913614 Hong.Kong.SAR..China
## 915 2009 8.135153 Hong.Kong.SAR..China
## 916 2010 8.446607 Hong.Kong.SAR..China
## 917 2011 8.155387 Hong.Kong.SAR..China
## 918 2012 8.279416 Hong.Kong.SAR..China
## 919 2013 8.233751 Hong.Kong.SAR..China
## 920 2014 7.600981 Hong.Kong.SAR..China
## 921 2015 6.988355 Hong.Kong.SAR..China
## 922 2016 6.513791 Hong.Kong.SAR..China
## 923 2017 5.908083 Hong.Kong.SAR..China
## 924 2018 5.356592 Hong.Kong.SAR..China
## 925 2019 5.037348 Hong.Kong.SAR..China
## 926 2020 6.891537 Hong.Kong.SAR..China
## 927 2021 5.826441 Hong.Kong.SAR..China
## 928 2022 4.653036 Hong.Kong.SAR..China
## 929 2023 4.564668 Hong.Kong.SAR..China
## 930 2024 NA Hong.Kong.SAR..China
## 931 NA NA Croatia
## 932 1995 7.354386 Croatia
## 933 1996 7.322514 Croatia
## 934 1997 7.023768 Croatia
## 935 1998 6.647258 Croatia
## 936 1999 6.325752 Croatia
## 937 2000 5.845738 Croatia
## 938 2001 5.990523 Croatia
## 939 2002 6.550369 Croatia
## 940 2003 6.762772 Croatia
## 941 2004 6.528094 Croatia
## 942 2005 6.193322 Croatia
## 943 2006 5.750215 Croatia
## 944 2007 5.503190 Croatia
## 945 2008 5.913614 Croatia
## 946 2009 8.135153 Croatia
## 947 2010 8.446607 Croatia
## 948 2011 8.155387 Croatia
## 949 2012 8.279416 Croatia
## 950 2013 8.233751 Croatia
## 951 2014 7.600981 Croatia
## 952 2015 6.988355 Croatia
## 953 2016 6.513791 Croatia
## 954 2017 5.908083 Croatia
## 955 2018 5.356592 Croatia
## 956 2019 5.037348 Croatia
## 957 2020 6.891537 Croatia
## 958 2021 5.826441 Croatia
## 959 2022 4.653036 Croatia
## 960 2023 4.564668 Croatia
## 961 2024 NA Croatia
## 962 NA NA Hungary
## 963 1995 7.354386 Hungary
## 964 1996 7.322514 Hungary
## 965 1997 7.023768 Hungary
## 966 1998 6.647258 Hungary
## 967 1999 6.325752 Hungary
## 968 2000 5.845738 Hungary
## 969 2001 5.990523 Hungary
## 970 2002 6.550369 Hungary
## 971 2003 6.762772 Hungary
## 972 2004 6.528094 Hungary
## 973 2005 6.193322 Hungary
## 974 2006 5.750215 Hungary
## 975 2007 5.503190 Hungary
## 976 2008 5.913614 Hungary
## 977 2009 8.135153 Hungary
## 978 2010 8.446607 Hungary
## 979 2011 8.155387 Hungary
## 980 2012 8.279416 Hungary
## 981 2013 8.233751 Hungary
## 982 2014 7.600981 Hungary
## 983 2015 6.988355 Hungary
## 984 2016 6.513791 Hungary
## 985 2017 5.908083 Hungary
## 986 2018 5.356592 Hungary
## 987 2019 5.037348 Hungary
## 988 2020 6.891537 Hungary
## 989 2021 5.826441 Hungary
## 990 2022 4.653036 Hungary
## 991 2023 4.564668 Hungary
## 992 2024 NA Hungary
## 993 NA NA Ireland
## 994 1995 7.354386 Ireland
## 995 1996 7.322514 Ireland
## 996 1997 7.023768 Ireland
## 997 1998 6.647258 Ireland
## 998 1999 6.325752 Ireland
## 999 2000 5.845738 Ireland
## 1000 2001 5.990523 Ireland
## 1001 2002 6.550369 Ireland
## 1002 2003 6.762772 Ireland
## 1003 2004 6.528094 Ireland
## 1004 2005 6.193322 Ireland
## 1005 2006 5.750215 Ireland
## 1006 2007 5.503190 Ireland
## 1007 2008 5.913614 Ireland
## 1008 2009 8.135153 Ireland
## 1009 2010 8.446607 Ireland
## 1010 2011 8.155387 Ireland
## 1011 2012 8.279416 Ireland
## 1012 2013 8.233751 Ireland
## 1013 2014 7.600981 Ireland
## 1014 2015 6.988355 Ireland
## 1015 2016 6.513791 Ireland
## 1016 2017 5.908083 Ireland
## 1017 2018 5.356592 Ireland
## 1018 2019 5.037348 Ireland
## 1019 2020 6.891537 Ireland
## 1020 2021 5.826441 Ireland
## 1021 2022 4.653036 Ireland
## 1022 2023 4.564668 Ireland
## 1023 2024 NA Ireland
## 1024 NA NA Iceland
## 1025 1995 7.354386 Iceland
## 1026 1996 7.322514 Iceland
## 1027 1997 7.023768 Iceland
## 1028 1998 6.647258 Iceland
## 1029 1999 6.325752 Iceland
## 1030 2000 5.845738 Iceland
## 1031 2001 5.990523 Iceland
## 1032 2002 6.550369 Iceland
## 1033 2003 6.762772 Iceland
## 1034 2004 6.528094 Iceland
## 1035 2005 6.193322 Iceland
## 1036 2006 5.750215 Iceland
## 1037 2007 5.503190 Iceland
## 1038 2008 5.913614 Iceland
## 1039 2009 8.135153 Iceland
## 1040 2010 8.446607 Iceland
## 1041 2011 8.155387 Iceland
## 1042 2012 8.279416 Iceland
## 1043 2013 8.233751 Iceland
## 1044 2014 7.600981 Iceland
## 1045 2015 6.988355 Iceland
## 1046 2016 6.513791 Iceland
## 1047 2017 5.908083 Iceland
## 1048 2018 5.356592 Iceland
## 1049 2019 5.037348 Iceland
## 1050 2020 6.891537 Iceland
## 1051 2021 5.826441 Iceland
## 1052 2022 4.653036 Iceland
## 1053 2023 4.564668 Iceland
## 1054 2024 NA Iceland
## 1055 NA NA Israel
## 1056 1995 7.354386 Israel
## 1057 1996 7.322514 Israel
## 1058 1997 7.023768 Israel
## 1059 1998 6.647258 Israel
## 1060 1999 6.325752 Israel
## 1061 2000 5.845738 Israel
## 1062 2001 5.990523 Israel
## 1063 2002 6.550369 Israel
## 1064 2003 6.762772 Israel
## 1065 2004 6.528094 Israel
## 1066 2005 6.193322 Israel
## 1067 2006 5.750215 Israel
## 1068 2007 5.503190 Israel
## 1069 2008 5.913614 Israel
## 1070 2009 8.135153 Israel
## 1071 2010 8.446607 Israel
## 1072 2011 8.155387 Israel
## 1073 2012 8.279416 Israel
## 1074 2013 8.233751 Israel
## 1075 2014 7.600981 Israel
## 1076 2015 6.988355 Israel
## 1077 2016 6.513791 Israel
## 1078 2017 5.908083 Israel
## 1079 2018 5.356592 Israel
## 1080 2019 5.037348 Israel
## 1081 2020 6.891537 Israel
## 1082 2021 5.826441 Israel
## 1083 2022 4.653036 Israel
## 1084 2023 4.564668 Israel
## 1085 2024 NA Israel
## 1086 NA NA Italy
## 1087 1995 7.354386 Italy
## 1088 1996 7.322514 Italy
## 1089 1997 7.023768 Italy
## 1090 1998 6.647258 Italy
## 1091 1999 6.325752 Italy
## 1092 2000 5.845738 Italy
## 1093 2001 5.990523 Italy
## 1094 2002 6.550369 Italy
## 1095 2003 6.762772 Italy
## 1096 2004 6.528094 Italy
## 1097 2005 6.193322 Italy
## 1098 2006 5.750215 Italy
## 1099 2007 5.503190 Italy
## 1100 2008 5.913614 Italy
## 1101 2009 8.135153 Italy
## 1102 2010 8.446607 Italy
## 1103 2011 8.155387 Italy
## 1104 2012 8.279416 Italy
## 1105 2013 8.233751 Italy
## 1106 2014 7.600981 Italy
## 1107 2015 6.988355 Italy
## 1108 2016 6.513791 Italy
## 1109 2017 5.908083 Italy
## 1110 2018 5.356592 Italy
## 1111 2019 5.037348 Italy
## 1112 2020 6.891537 Italy
## 1113 2021 5.826441 Italy
## 1114 2022 4.653036 Italy
## 1115 2023 4.564668 Italy
## 1116 2024 NA Italy
## 1117 NA NA Japan
## 1118 1995 7.354386 Japan
## 1119 1996 7.322514 Japan
## 1120 1997 7.023768 Japan
## 1121 1998 6.647258 Japan
## 1122 1999 6.325752 Japan
## 1123 2000 5.845738 Japan
## 1124 2001 5.990523 Japan
## 1125 2002 6.550369 Japan
## 1126 2003 6.762772 Japan
## 1127 2004 6.528094 Japan
## 1128 2005 6.193322 Japan
## 1129 2006 5.750215 Japan
## 1130 2007 5.503190 Japan
## 1131 2008 5.913614 Japan
## 1132 2009 8.135153 Japan
## 1133 2010 8.446607 Japan
## 1134 2011 8.155387 Japan
## 1135 2012 8.279416 Japan
## 1136 2013 8.233751 Japan
## 1137 2014 7.600981 Japan
## 1138 2015 6.988355 Japan
## 1139 2016 6.513791 Japan
## 1140 2017 5.908083 Japan
## 1141 2018 5.356592 Japan
## 1142 2019 5.037348 Japan
## 1143 2020 6.891537 Japan
## 1144 2021 5.826441 Japan
## 1145 2022 4.653036 Japan
## 1146 2023 4.564668 Japan
## 1147 2024 NA Japan
## 1148 NA NA Korea..Rep.
## 1149 1995 7.354386 Korea..Rep.
## 1150 1996 7.322514 Korea..Rep.
## 1151 1997 7.023768 Korea..Rep.
## 1152 1998 6.647258 Korea..Rep.
## 1153 1999 6.325752 Korea..Rep.
## 1154 2000 5.845738 Korea..Rep.
## 1155 2001 5.990523 Korea..Rep.
## 1156 2002 6.550369 Korea..Rep.
## 1157 2003 6.762772 Korea..Rep.
## 1158 2004 6.528094 Korea..Rep.
## 1159 2005 6.193322 Korea..Rep.
## 1160 2006 5.750215 Korea..Rep.
## 1161 2007 5.503190 Korea..Rep.
## 1162 2008 5.913614 Korea..Rep.
## 1163 2009 8.135153 Korea..Rep.
## 1164 2010 8.446607 Korea..Rep.
## 1165 2011 8.155387 Korea..Rep.
## 1166 2012 8.279416 Korea..Rep.
## 1167 2013 8.233751 Korea..Rep.
## 1168 2014 7.600981 Korea..Rep.
## 1169 2015 6.988355 Korea..Rep.
## 1170 2016 6.513791 Korea..Rep.
## 1171 2017 5.908083 Korea..Rep.
## 1172 2018 5.356592 Korea..Rep.
## 1173 2019 5.037348 Korea..Rep.
## 1174 2020 6.891537 Korea..Rep.
## 1175 2021 5.826441 Korea..Rep.
## 1176 2022 4.653036 Korea..Rep.
## 1177 2023 4.564668 Korea..Rep.
## 1178 2024 NA Korea..Rep.
## 1179 NA NA EMDE.Latin.America...Caribbean
## 1180 1995 7.354386 EMDE.Latin.America...Caribbean
## 1181 1996 7.322514 EMDE.Latin.America...Caribbean
## 1182 1997 7.023768 EMDE.Latin.America...Caribbean
## 1183 1998 6.647258 EMDE.Latin.America...Caribbean
## 1184 1999 6.325752 EMDE.Latin.America...Caribbean
## 1185 2000 5.845738 EMDE.Latin.America...Caribbean
## 1186 2001 5.990523 EMDE.Latin.America...Caribbean
## 1187 2002 6.550369 EMDE.Latin.America...Caribbean
## 1188 2003 6.762772 EMDE.Latin.America...Caribbean
## 1189 2004 6.528094 EMDE.Latin.America...Caribbean
## 1190 2005 6.193322 EMDE.Latin.America...Caribbean
## 1191 2006 5.750215 EMDE.Latin.America...Caribbean
## 1192 2007 5.503190 EMDE.Latin.America...Caribbean
## 1193 2008 5.913614 EMDE.Latin.America...Caribbean
## 1194 2009 8.135153 EMDE.Latin.America...Caribbean
## 1195 2010 8.446607 EMDE.Latin.America...Caribbean
## 1196 2011 8.155387 EMDE.Latin.America...Caribbean
## 1197 2012 8.279416 EMDE.Latin.America...Caribbean
## 1198 2013 8.233751 EMDE.Latin.America...Caribbean
## 1199 2014 7.600981 EMDE.Latin.America...Caribbean
## 1200 2015 6.988355 EMDE.Latin.America...Caribbean
## 1201 2016 6.513791 EMDE.Latin.America...Caribbean
## 1202 2017 5.908083 EMDE.Latin.America...Caribbean
## 1203 2018 5.356592 EMDE.Latin.America...Caribbean
## 1204 2019 5.037348 EMDE.Latin.America...Caribbean
## 1205 2020 6.891537 EMDE.Latin.America...Caribbean
## 1206 2021 5.826441 EMDE.Latin.America...Caribbean
## 1207 2022 4.653036 EMDE.Latin.America...Caribbean
## 1208 2023 4.564668 EMDE.Latin.America...Caribbean
## 1209 2024 NA EMDE.Latin.America...Caribbean
## 1210 NA NA Low.Income.Countries..LIC.
## 1211 1995 7.354386 Low.Income.Countries..LIC.
## 1212 1996 7.322514 Low.Income.Countries..LIC.
## 1213 1997 7.023768 Low.Income.Countries..LIC.
## 1214 1998 6.647258 Low.Income.Countries..LIC.
## 1215 1999 6.325752 Low.Income.Countries..LIC.
## 1216 2000 5.845738 Low.Income.Countries..LIC.
## 1217 2001 5.990523 Low.Income.Countries..LIC.
## 1218 2002 6.550369 Low.Income.Countries..LIC.
## 1219 2003 6.762772 Low.Income.Countries..LIC.
## 1220 2004 6.528094 Low.Income.Countries..LIC.
## 1221 2005 6.193322 Low.Income.Countries..LIC.
## 1222 2006 5.750215 Low.Income.Countries..LIC.
## 1223 2007 5.503190 Low.Income.Countries..LIC.
## 1224 2008 5.913614 Low.Income.Countries..LIC.
## 1225 2009 8.135153 Low.Income.Countries..LIC.
## 1226 2010 8.446607 Low.Income.Countries..LIC.
## 1227 2011 8.155387 Low.Income.Countries..LIC.
## 1228 2012 8.279416 Low.Income.Countries..LIC.
## 1229 2013 8.233751 Low.Income.Countries..LIC.
## 1230 2014 7.600981 Low.Income.Countries..LIC.
## 1231 2015 6.988355 Low.Income.Countries..LIC.
## 1232 2016 6.513791 Low.Income.Countries..LIC.
## 1233 2017 5.908083 Low.Income.Countries..LIC.
## 1234 2018 5.356592 Low.Income.Countries..LIC.
## 1235 2019 5.037348 Low.Income.Countries..LIC.
## 1236 2020 6.891537 Low.Income.Countries..LIC.
## 1237 2021 5.826441 Low.Income.Countries..LIC.
## 1238 2022 4.653036 Low.Income.Countries..LIC.
## 1239 2023 4.564668 Low.Income.Countries..LIC.
## 1240 2024 NA Low.Income.Countries..LIC.
## 1241 NA NA Sri.Lanka
## 1242 1995 7.354386 Sri.Lanka
## 1243 1996 7.322514 Sri.Lanka
## 1244 1997 7.023768 Sri.Lanka
## 1245 1998 6.647258 Sri.Lanka
## 1246 1999 6.325752 Sri.Lanka
## 1247 2000 5.845738 Sri.Lanka
## 1248 2001 5.990523 Sri.Lanka
## 1249 2002 6.550369 Sri.Lanka
## 1250 2003 6.762772 Sri.Lanka
## 1251 2004 6.528094 Sri.Lanka
## 1252 2005 6.193322 Sri.Lanka
## 1253 2006 5.750215 Sri.Lanka
## 1254 2007 5.503190 Sri.Lanka
## 1255 2008 5.913614 Sri.Lanka
## 1256 2009 8.135153 Sri.Lanka
## 1257 2010 8.446607 Sri.Lanka
## 1258 2011 8.155387 Sri.Lanka
## 1259 2012 8.279416 Sri.Lanka
## 1260 2013 8.233751 Sri.Lanka
## 1261 2014 7.600981 Sri.Lanka
## 1262 2015 6.988355 Sri.Lanka
## 1263 2016 6.513791 Sri.Lanka
## 1264 2017 5.908083 Sri.Lanka
## 1265 2018 5.356592 Sri.Lanka
## 1266 2019 5.037348 Sri.Lanka
## 1267 2020 6.891537 Sri.Lanka
## 1268 2021 5.826441 Sri.Lanka
## 1269 2022 4.653036 Sri.Lanka
## 1270 2023 4.564668 Sri.Lanka
## 1271 2024 NA Sri.Lanka
## 1272 NA NA Lithuania
## 1273 1995 7.354386 Lithuania
## 1274 1996 7.322514 Lithuania
## 1275 1997 7.023768 Lithuania
## 1276 1998 6.647258 Lithuania
## 1277 1999 6.325752 Lithuania
## 1278 2000 5.845738 Lithuania
## 1279 2001 5.990523 Lithuania
## 1280 2002 6.550369 Lithuania
## 1281 2003 6.762772 Lithuania
## 1282 2004 6.528094 Lithuania
## 1283 2005 6.193322 Lithuania
## 1284 2006 5.750215 Lithuania
## 1285 2007 5.503190 Lithuania
## 1286 2008 5.913614 Lithuania
## 1287 2009 8.135153 Lithuania
## 1288 2010 8.446607 Lithuania
## 1289 2011 8.155387 Lithuania
## 1290 2012 8.279416 Lithuania
## 1291 2013 8.233751 Lithuania
## 1292 2014 7.600981 Lithuania
## 1293 2015 6.988355 Lithuania
## 1294 2016 6.513791 Lithuania
## 1295 2017 5.908083 Lithuania
## 1296 2018 5.356592 Lithuania
## 1297 2019 5.037348 Lithuania
## 1298 2020 6.891537 Lithuania
## 1299 2021 5.826441 Lithuania
## 1300 2022 4.653036 Lithuania
## 1301 2023 4.564668 Lithuania
## 1302 2024 NA Lithuania
## 1303 NA NA Luxembourg
## 1304 1995 7.354386 Luxembourg
## 1305 1996 7.322514 Luxembourg
## 1306 1997 7.023768 Luxembourg
## 1307 1998 6.647258 Luxembourg
## 1308 1999 6.325752 Luxembourg
## 1309 2000 5.845738 Luxembourg
## 1310 2001 5.990523 Luxembourg
## 1311 2002 6.550369 Luxembourg
## 1312 2003 6.762772 Luxembourg
## 1313 2004 6.528094 Luxembourg
## 1314 2005 6.193322 Luxembourg
## 1315 2006 5.750215 Luxembourg
## 1316 2007 5.503190 Luxembourg
## 1317 2008 5.913614 Luxembourg
## 1318 2009 8.135153 Luxembourg
## 1319 2010 8.446607 Luxembourg
## 1320 2011 8.155387 Luxembourg
## 1321 2012 8.279416 Luxembourg
## 1322 2013 8.233751 Luxembourg
## 1323 2014 7.600981 Luxembourg
## 1324 2015 6.988355 Luxembourg
## 1325 2016 6.513791 Luxembourg
## 1326 2017 5.908083 Luxembourg
## 1327 2018 5.356592 Luxembourg
## 1328 2019 5.037348 Luxembourg
## 1329 2020 6.891537 Luxembourg
## 1330 2021 5.826441 Luxembourg
## 1331 2022 4.653036 Luxembourg
## 1332 2023 4.564668 Luxembourg
## 1333 2024 NA Luxembourg
## 1334 NA NA Latvia
## 1335 1995 7.354386 Latvia
## 1336 1996 7.322514 Latvia
## 1337 1997 7.023768 Latvia
## 1338 1998 6.647258 Latvia
## 1339 1999 6.325752 Latvia
## 1340 2000 5.845738 Latvia
## 1341 2001 5.990523 Latvia
## 1342 2002 6.550369 Latvia
## 1343 2003 6.762772 Latvia
## 1344 2004 6.528094 Latvia
## 1345 2005 6.193322 Latvia
## 1346 2006 5.750215 Latvia
## 1347 2007 5.503190 Latvia
## 1348 2008 5.913614 Latvia
## 1349 2009 8.135153 Latvia
## 1350 2010 8.446607 Latvia
## 1351 2011 8.155387 Latvia
## 1352 2012 8.279416 Latvia
## 1353 2013 8.233751 Latvia
## 1354 2014 7.600981 Latvia
## 1355 2015 6.988355 Latvia
## 1356 2016 6.513791 Latvia
## 1357 2017 5.908083 Latvia
## 1358 2018 5.356592 Latvia
## 1359 2019 5.037348 Latvia
## 1360 2020 6.891537 Latvia
## 1361 2021 5.826441 Latvia
## 1362 2022 4.653036 Latvia
## 1363 2023 4.564668 Latvia
## 1364 2024 NA Latvia
## 1365 NA NA Morocco
## 1366 1995 7.354386 Morocco
## 1367 1996 7.322514 Morocco
## 1368 1997 7.023768 Morocco
## 1369 1998 6.647258 Morocco
## 1370 1999 6.325752 Morocco
## 1371 2000 5.845738 Morocco
## 1372 2001 5.990523 Morocco
## 1373 2002 6.550369 Morocco
## 1374 2003 6.762772 Morocco
## 1375 2004 6.528094 Morocco
## 1376 2005 6.193322 Morocco
## 1377 2006 5.750215 Morocco
## 1378 2007 5.503190 Morocco
## 1379 2008 5.913614 Morocco
## 1380 2009 8.135153 Morocco
## 1381 2010 8.446607 Morocco
## 1382 2011 8.155387 Morocco
## 1383 2012 8.279416 Morocco
## 1384 2013 8.233751 Morocco
## 1385 2014 7.600981 Morocco
## 1386 2015 6.988355 Morocco
## 1387 2016 6.513791 Morocco
## 1388 2017 5.908083 Morocco
## 1389 2018 5.356592 Morocco
## 1390 2019 5.037348 Morocco
## 1391 2020 6.891537 Morocco
## 1392 2021 5.826441 Morocco
## 1393 2022 4.653036 Morocco
## 1394 2023 4.564668 Morocco
## 1395 2024 NA Morocco
## 1396 NA NA Mexico
## 1397 1995 7.354386 Mexico
## 1398 1996 7.322514 Mexico
## 1399 1997 7.023768 Mexico
## 1400 1998 6.647258 Mexico
## 1401 1999 6.325752 Mexico
## 1402 2000 5.845738 Mexico
## 1403 2001 5.990523 Mexico
## 1404 2002 6.550369 Mexico
## 1405 2003 6.762772 Mexico
## 1406 2004 6.528094 Mexico
## 1407 2005 6.193322 Mexico
## 1408 2006 5.750215 Mexico
## 1409 2007 5.503190 Mexico
## 1410 2008 5.913614 Mexico
## 1411 2009 8.135153 Mexico
## 1412 2010 8.446607 Mexico
## 1413 2011 8.155387 Mexico
## 1414 2012 8.279416 Mexico
## 1415 2013 8.233751 Mexico
## 1416 2014 7.600981 Mexico
## 1417 2015 6.988355 Mexico
## 1418 2016 6.513791 Mexico
## 1419 2017 5.908083 Mexico
## 1420 2018 5.356592 Mexico
## 1421 2019 5.037348 Mexico
## 1422 2020 6.891537 Mexico
## 1423 2021 5.826441 Mexico
## 1424 2022 4.653036 Mexico
## 1425 2023 4.564668 Mexico
## 1426 2024 NA Mexico
## 1427 NA NA Middle.Income.Countries..MIC.
## 1428 1995 7.354386 Middle.Income.Countries..MIC.
## 1429 1996 7.322514 Middle.Income.Countries..MIC.
## 1430 1997 7.023768 Middle.Income.Countries..MIC.
## 1431 1998 6.647258 Middle.Income.Countries..MIC.
## 1432 1999 6.325752 Middle.Income.Countries..MIC.
## 1433 2000 5.845738 Middle.Income.Countries..MIC.
## 1434 2001 5.990523 Middle.Income.Countries..MIC.
## 1435 2002 6.550369 Middle.Income.Countries..MIC.
## 1436 2003 6.762772 Middle.Income.Countries..MIC.
## 1437 2004 6.528094 Middle.Income.Countries..MIC.
## 1438 2005 6.193322 Middle.Income.Countries..MIC.
## 1439 2006 5.750215 Middle.Income.Countries..MIC.
## 1440 2007 5.503190 Middle.Income.Countries..MIC.
## 1441 2008 5.913614 Middle.Income.Countries..MIC.
## 1442 2009 8.135153 Middle.Income.Countries..MIC.
## 1443 2010 8.446607 Middle.Income.Countries..MIC.
## 1444 2011 8.155387 Middle.Income.Countries..MIC.
## 1445 2012 8.279416 Middle.Income.Countries..MIC.
## 1446 2013 8.233751 Middle.Income.Countries..MIC.
## 1447 2014 7.600981 Middle.Income.Countries..MIC.
## 1448 2015 6.988355 Middle.Income.Countries..MIC.
## 1449 2016 6.513791 Middle.Income.Countries..MIC.
## 1450 2017 5.908083 Middle.Income.Countries..MIC.
## 1451 2018 5.356592 Middle.Income.Countries..MIC.
## 1452 2019 5.037348 Middle.Income.Countries..MIC.
## 1453 2020 6.891537 Middle.Income.Countries..MIC.
## 1454 2021 5.826441 Middle.Income.Countries..MIC.
## 1455 2022 4.653036 Middle.Income.Countries..MIC.
## 1456 2023 4.564668 Middle.Income.Countries..MIC.
## 1457 2024 NA Middle.Income.Countries..MIC.
## 1458 NA NA North.Macedonia
## 1459 1995 7.354386 North.Macedonia
## 1460 1996 7.322514 North.Macedonia
## 1461 1997 7.023768 North.Macedonia
## 1462 1998 6.647258 North.Macedonia
## 1463 1999 6.325752 North.Macedonia
## 1464 2000 5.845738 North.Macedonia
## 1465 2001 5.990523 North.Macedonia
## 1466 2002 6.550369 North.Macedonia
## 1467 2003 6.762772 North.Macedonia
## 1468 2004 6.528094 North.Macedonia
## 1469 2005 6.193322 North.Macedonia
## 1470 2006 5.750215 North.Macedonia
## 1471 2007 5.503190 North.Macedonia
## 1472 2008 5.913614 North.Macedonia
## 1473 2009 8.135153 North.Macedonia
## 1474 2010 8.446607 North.Macedonia
## 1475 2011 8.155387 North.Macedonia
## 1476 2012 8.279416 North.Macedonia
## 1477 2013 8.233751 North.Macedonia
## 1478 2014 7.600981 North.Macedonia
## 1479 2015 6.988355 North.Macedonia
## 1480 2016 6.513791 North.Macedonia
## 1481 2017 5.908083 North.Macedonia
## 1482 2018 5.356592 North.Macedonia
## 1483 2019 5.037348 North.Macedonia
## 1484 2020 6.891537 North.Macedonia
## 1485 2021 5.826441 North.Macedonia
## 1486 2022 4.653036 North.Macedonia
## 1487 2023 4.564668 North.Macedonia
## 1488 2024 NA North.Macedonia
## 1489 NA NA Malta
## 1490 1995 7.354386 Malta
## 1491 1996 7.322514 Malta
## 1492 1997 7.023768 Malta
## 1493 1998 6.647258 Malta
## 1494 1999 6.325752 Malta
## 1495 2000 5.845738 Malta
## 1496 2001 5.990523 Malta
## 1497 2002 6.550369 Malta
## 1498 2003 6.762772 Malta
## 1499 2004 6.528094 Malta
## 1500 2005 6.193322 Malta
## 1501 2006 5.750215 Malta
## 1502 2007 5.503190 Malta
## 1503 2008 5.913614 Malta
## 1504 2009 8.135153 Malta
## 1505 2010 8.446607 Malta
## 1506 2011 8.155387 Malta
## 1507 2012 8.279416 Malta
## 1508 2013 8.233751 Malta
## 1509 2014 7.600981 Malta
## 1510 2015 6.988355 Malta
## 1511 2016 6.513791 Malta
## 1512 2017 5.908083 Malta
## 1513 2018 5.356592 Malta
## 1514 2019 5.037348 Malta
## 1515 2020 6.891537 Malta
## 1516 2021 5.826441 Malta
## 1517 2022 4.653036 Malta
## 1518 2023 4.564668 Malta
## 1519 2024 NA Malta
## 1520 NA NA EMDE.Middle.East...N..Africa
## 1521 1995 7.354386 EMDE.Middle.East...N..Africa
## 1522 1996 7.322514 EMDE.Middle.East...N..Africa
## 1523 1997 7.023768 EMDE.Middle.East...N..Africa
## 1524 1998 6.647258 EMDE.Middle.East...N..Africa
## 1525 1999 6.325752 EMDE.Middle.East...N..Africa
## 1526 2000 5.845738 EMDE.Middle.East...N..Africa
## 1527 2001 5.990523 EMDE.Middle.East...N..Africa
## 1528 2002 6.550369 EMDE.Middle.East...N..Africa
## 1529 2003 6.762772 EMDE.Middle.East...N..Africa
## 1530 2004 6.528094 EMDE.Middle.East...N..Africa
## 1531 2005 6.193322 EMDE.Middle.East...N..Africa
## 1532 2006 5.750215 EMDE.Middle.East...N..Africa
## 1533 2007 5.503190 EMDE.Middle.East...N..Africa
## 1534 2008 5.913614 EMDE.Middle.East...N..Africa
## 1535 2009 8.135153 EMDE.Middle.East...N..Africa
## 1536 2010 8.446607 EMDE.Middle.East...N..Africa
## 1537 2011 8.155387 EMDE.Middle.East...N..Africa
## 1538 2012 8.279416 EMDE.Middle.East...N..Africa
## 1539 2013 8.233751 EMDE.Middle.East...N..Africa
## 1540 2014 7.600981 EMDE.Middle.East...N..Africa
## 1541 2015 6.988355 EMDE.Middle.East...N..Africa
## 1542 2016 6.513791 EMDE.Middle.East...N..Africa
## 1543 2017 5.908083 EMDE.Middle.East...N..Africa
## 1544 2018 5.356592 EMDE.Middle.East...N..Africa
## 1545 2019 5.037348 EMDE.Middle.East...N..Africa
## 1546 2020 6.891537 EMDE.Middle.East...N..Africa
## 1547 2021 5.826441 EMDE.Middle.East...N..Africa
## 1548 2022 4.653036 EMDE.Middle.East...N..Africa
## 1549 2023 4.564668 EMDE.Middle.East...N..Africa
## 1550 2024 NA EMDE.Middle.East...N..Africa
## 1551 NA NA Netherlands
## 1552 1995 7.354386 Netherlands
## 1553 1996 7.322514 Netherlands
## 1554 1997 7.023768 Netherlands
## 1555 1998 6.647258 Netherlands
## 1556 1999 6.325752 Netherlands
## 1557 2000 5.845738 Netherlands
## 1558 2001 5.990523 Netherlands
## 1559 2002 6.550369 Netherlands
## 1560 2003 6.762772 Netherlands
## 1561 2004 6.528094 Netherlands
## 1562 2005 6.193322 Netherlands
## 1563 2006 5.750215 Netherlands
## 1564 2007 5.503190 Netherlands
## 1565 2008 5.913614 Netherlands
## 1566 2009 8.135153 Netherlands
## 1567 2010 8.446607 Netherlands
## 1568 2011 8.155387 Netherlands
## 1569 2012 8.279416 Netherlands
## 1570 2013 8.233751 Netherlands
## 1571 2014 7.600981 Netherlands
## 1572 2015 6.988355 Netherlands
## 1573 2016 6.513791 Netherlands
## 1574 2017 5.908083 Netherlands
## 1575 2018 5.356592 Netherlands
## 1576 2019 5.037348 Netherlands
## 1577 2020 6.891537 Netherlands
## 1578 2021 5.826441 Netherlands
## 1579 2022 4.653036 Netherlands
## 1580 2023 4.564668 Netherlands
## 1581 2024 NA Netherlands
## 1582 NA NA Norway
## 1583 1995 7.354386 Norway
## 1584 1996 7.322514 Norway
## 1585 1997 7.023768 Norway
## 1586 1998 6.647258 Norway
## 1587 1999 6.325752 Norway
## 1588 2000 5.845738 Norway
## 1589 2001 5.990523 Norway
## 1590 2002 6.550369 Norway
## 1591 2003 6.762772 Norway
## 1592 2004 6.528094 Norway
## 1593 2005 6.193322 Norway
## 1594 2006 5.750215 Norway
## 1595 2007 5.503190 Norway
## 1596 2008 5.913614 Norway
## 1597 2009 8.135153 Norway
## 1598 2010 8.446607 Norway
## 1599 2011 8.155387 Norway
## 1600 2012 8.279416 Norway
## 1601 2013 8.233751 Norway
## 1602 2014 7.600981 Norway
## 1603 2015 6.988355 Norway
## 1604 2016 6.513791 Norway
## 1605 2017 5.908083 Norway
## 1606 2018 5.356592 Norway
## 1607 2019 5.037348 Norway
## 1608 2020 6.891537 Norway
## 1609 2021 5.826441 Norway
## 1610 2022 4.653036 Norway
## 1611 2023 4.564668 Norway
## 1612 2024 NA Norway
## 1613 NA NA New.Zealand
## 1614 1995 7.354386 New.Zealand
## 1615 1996 7.322514 New.Zealand
## 1616 1997 7.023768 New.Zealand
## 1617 1998 6.647258 New.Zealand
## 1618 1999 6.325752 New.Zealand
## 1619 2000 5.845738 New.Zealand
## 1620 2001 5.990523 New.Zealand
## 1621 2002 6.550369 New.Zealand
## 1622 2003 6.762772 New.Zealand
## 1623 2004 6.528094 New.Zealand
## 1624 2005 6.193322 New.Zealand
## 1625 2006 5.750215 New.Zealand
## 1626 2007 5.503190 New.Zealand
## 1627 2008 5.913614 New.Zealand
## 1628 2009 8.135153 New.Zealand
## 1629 2010 8.446607 New.Zealand
## 1630 2011 8.155387 New.Zealand
## 1631 2012 8.279416 New.Zealand
## 1632 2013 8.233751 New.Zealand
## 1633 2014 7.600981 New.Zealand
## 1634 2015 6.988355 New.Zealand
## 1635 2016 6.513791 New.Zealand
## 1636 2017 5.908083 New.Zealand
## 1637 2018 5.356592 New.Zealand
## 1638 2019 5.037348 New.Zealand
## 1639 2020 6.891537 New.Zealand
## 1640 2021 5.826441 New.Zealand
## 1641 2022 4.653036 New.Zealand
## 1642 2023 4.564668 New.Zealand
## 1643 2024 NA New.Zealand
## 1644 NA NA Pakistan
## 1645 1995 7.354386 Pakistan
## 1646 1996 7.322514 Pakistan
## 1647 1997 7.023768 Pakistan
## 1648 1998 6.647258 Pakistan
## 1649 1999 6.325752 Pakistan
## 1650 2000 5.845738 Pakistan
## 1651 2001 5.990523 Pakistan
## 1652 2002 6.550369 Pakistan
## 1653 2003 6.762772 Pakistan
## 1654 2004 6.528094 Pakistan
## 1655 2005 6.193322 Pakistan
## 1656 2006 5.750215 Pakistan
## 1657 2007 5.503190 Pakistan
## 1658 2008 5.913614 Pakistan
## 1659 2009 8.135153 Pakistan
## 1660 2010 8.446607 Pakistan
## 1661 2011 8.155387 Pakistan
## 1662 2012 8.279416 Pakistan
## 1663 2013 8.233751 Pakistan
## 1664 2014 7.600981 Pakistan
## 1665 2015 6.988355 Pakistan
## 1666 2016 6.513791 Pakistan
## 1667 2017 5.908083 Pakistan
## 1668 2018 5.356592 Pakistan
## 1669 2019 5.037348 Pakistan
## 1670 2020 6.891537 Pakistan
## 1671 2021 5.826441 Pakistan
## 1672 2022 4.653036 Pakistan
## 1673 2023 4.564668 Pakistan
## 1674 2024 NA Pakistan
## 1675 NA NA Peru
## 1676 1995 7.354386 Peru
## 1677 1996 7.322514 Peru
## 1678 1997 7.023768 Peru
## 1679 1998 6.647258 Peru
## 1680 1999 6.325752 Peru
## 1681 2000 5.845738 Peru
## 1682 2001 5.990523 Peru
## 1683 2002 6.550369 Peru
## 1684 2003 6.762772 Peru
## 1685 2004 6.528094 Peru
## 1686 2005 6.193322 Peru
## 1687 2006 5.750215 Peru
## 1688 2007 5.503190 Peru
## 1689 2008 5.913614 Peru
## 1690 2009 8.135153 Peru
## 1691 2010 8.446607 Peru
## 1692 2011 8.155387 Peru
## 1693 2012 8.279416 Peru
## 1694 2013 8.233751 Peru
## 1695 2014 7.600981 Peru
## 1696 2015 6.988355 Peru
## 1697 2016 6.513791 Peru
## 1698 2017 5.908083 Peru
## 1699 2018 5.356592 Peru
## 1700 2019 5.037348 Peru
## 1701 2020 6.891537 Peru
## 1702 2021 5.826441 Peru
## 1703 2022 4.653036 Peru
## 1704 2023 4.564668 Peru
## 1705 2024 NA Peru
## 1706 NA NA Philippines
## 1707 1995 7.354386 Philippines
## 1708 1996 7.322514 Philippines
## 1709 1997 7.023768 Philippines
## 1710 1998 6.647258 Philippines
## 1711 1999 6.325752 Philippines
## 1712 2000 5.845738 Philippines
## 1713 2001 5.990523 Philippines
## 1714 2002 6.550369 Philippines
## 1715 2003 6.762772 Philippines
## 1716 2004 6.528094 Philippines
## 1717 2005 6.193322 Philippines
## 1718 2006 5.750215 Philippines
## 1719 2007 5.503190 Philippines
## 1720 2008 5.913614 Philippines
## 1721 2009 8.135153 Philippines
## 1722 2010 8.446607 Philippines
## 1723 2011 8.155387 Philippines
## 1724 2012 8.279416 Philippines
## 1725 2013 8.233751 Philippines
## 1726 2014 7.600981 Philippines
## 1727 2015 6.988355 Philippines
## 1728 2016 6.513791 Philippines
## 1729 2017 5.908083 Philippines
## 1730 2018 5.356592 Philippines
## 1731 2019 5.037348 Philippines
## 1732 2020 6.891537 Philippines
## 1733 2021 5.826441 Philippines
## 1734 2022 4.653036 Philippines
## 1735 2023 4.564668 Philippines
## 1736 2024 NA Philippines
## 1737 NA NA Poland
## 1738 1995 7.354386 Poland
## 1739 1996 7.322514 Poland
## 1740 1997 7.023768 Poland
## 1741 1998 6.647258 Poland
## 1742 1999 6.325752 Poland
## 1743 2000 5.845738 Poland
## 1744 2001 5.990523 Poland
## 1745 2002 6.550369 Poland
## 1746 2003 6.762772 Poland
## 1747 2004 6.528094 Poland
## 1748 2005 6.193322 Poland
## 1749 2006 5.750215 Poland
## 1750 2007 5.503190 Poland
## 1751 2008 5.913614 Poland
## 1752 2009 8.135153 Poland
## 1753 2010 8.446607 Poland
## 1754 2011 8.155387 Poland
## 1755 2012 8.279416 Poland
## 1756 2013 8.233751 Poland
## 1757 2014 7.600981 Poland
## 1758 2015 6.988355 Poland
## 1759 2016 6.513791 Poland
## 1760 2017 5.908083 Poland
## 1761 2018 5.356592 Poland
## 1762 2019 5.037348 Poland
## 1763 2020 6.891537 Poland
## 1764 2021 5.826441 Poland
## 1765 2022 4.653036 Poland
## 1766 2023 4.564668 Poland
## 1767 2024 NA Poland
## 1768 NA NA Portugal
## 1769 1995 7.354386 Portugal
## 1770 1996 7.322514 Portugal
## 1771 1997 7.023768 Portugal
## 1772 1998 6.647258 Portugal
## 1773 1999 6.325752 Portugal
## 1774 2000 5.845738 Portugal
## 1775 2001 5.990523 Portugal
## 1776 2002 6.550369 Portugal
## 1777 2003 6.762772 Portugal
## 1778 2004 6.528094 Portugal
## 1779 2005 6.193322 Portugal
## 1780 2006 5.750215 Portugal
## 1781 2007 5.503190 Portugal
## 1782 2008 5.913614 Portugal
## 1783 2009 8.135153 Portugal
## 1784 2010 8.446607 Portugal
## 1785 2011 8.155387 Portugal
## 1786 2012 8.279416 Portugal
## 1787 2013 8.233751 Portugal
## 1788 2014 7.600981 Portugal
## 1789 2015 6.988355 Portugal
## 1790 2016 6.513791 Portugal
## 1791 2017 5.908083 Portugal
## 1792 2018 5.356592 Portugal
## 1793 2019 5.037348 Portugal
## 1794 2020 6.891537 Portugal
## 1795 2021 5.826441 Portugal
## 1796 2022 4.653036 Portugal
## 1797 2023 4.564668 Portugal
## 1798 2024 NA Portugal
## 1799 NA NA Romania
## 1800 1995 7.354386 Romania
## 1801 1996 7.322514 Romania
## 1802 1997 7.023768 Romania
## 1803 1998 6.647258 Romania
## 1804 1999 6.325752 Romania
## 1805 2000 5.845738 Romania
## 1806 2001 5.990523 Romania
## 1807 2002 6.550369 Romania
## 1808 2003 6.762772 Romania
## 1809 2004 6.528094 Romania
## 1810 2005 6.193322 Romania
## 1811 2006 5.750215 Romania
## 1812 2007 5.503190 Romania
## 1813 2008 5.913614 Romania
## 1814 2009 8.135153 Romania
## 1815 2010 8.446607 Romania
## 1816 2011 8.155387 Romania
## 1817 2012 8.279416 Romania
## 1818 2013 8.233751 Romania
## 1819 2014 7.600981 Romania
## 1820 2015 6.988355 Romania
## 1821 2016 6.513791 Romania
## 1822 2017 5.908083 Romania
## 1823 2018 5.356592 Romania
## 1824 2019 5.037348 Romania
## 1825 2020 6.891537 Romania
## 1826 2021 5.826441 Romania
## 1827 2022 4.653036 Romania
## 1828 2023 4.564668 Romania
## 1829 2024 NA Romania
## 1830 NA NA Russian.Federation
## 1831 1995 7.354386 Russian.Federation
## 1832 1996 7.322514 Russian.Federation
## 1833 1997 7.023768 Russian.Federation
## 1834 1998 6.647258 Russian.Federation
## 1835 1999 6.325752 Russian.Federation
## 1836 2000 5.845738 Russian.Federation
## 1837 2001 5.990523 Russian.Federation
## 1838 2002 6.550369 Russian.Federation
## 1839 2003 6.762772 Russian.Federation
## 1840 2004 6.528094 Russian.Federation
## 1841 2005 6.193322 Russian.Federation
## 1842 2006 5.750215 Russian.Federation
## 1843 2007 5.503190 Russian.Federation
## 1844 2008 5.913614 Russian.Federation
## 1845 2009 8.135153 Russian.Federation
## 1846 2010 8.446607 Russian.Federation
## 1847 2011 8.155387 Russian.Federation
## 1848 2012 8.279416 Russian.Federation
## 1849 2013 8.233751 Russian.Federation
## 1850 2014 7.600981 Russian.Federation
## 1851 2015 6.988355 Russian.Federation
## 1852 2016 6.513791 Russian.Federation
## 1853 2017 5.908083 Russian.Federation
## 1854 2018 5.356592 Russian.Federation
## 1855 2019 5.037348 Russian.Federation
## 1856 2020 6.891537 Russian.Federation
## 1857 2021 5.826441 Russian.Federation
## 1858 2022 4.653036 Russian.Federation
## 1859 2023 4.564668 Russian.Federation
## 1860 2024 NA Russian.Federation
## 1861 NA NA EMDE.South.Asia
## 1862 1995 7.354386 EMDE.South.Asia
## 1863 1996 7.322514 EMDE.South.Asia
## 1864 1997 7.023768 EMDE.South.Asia
## 1865 1998 6.647258 EMDE.South.Asia
## 1866 1999 6.325752 EMDE.South.Asia
## 1867 2000 5.845738 EMDE.South.Asia
## 1868 2001 5.990523 EMDE.South.Asia
## 1869 2002 6.550369 EMDE.South.Asia
## 1870 2003 6.762772 EMDE.South.Asia
## 1871 2004 6.528094 EMDE.South.Asia
## 1872 2005 6.193322 EMDE.South.Asia
## 1873 2006 5.750215 EMDE.South.Asia
## 1874 2007 5.503190 EMDE.South.Asia
## 1875 2008 5.913614 EMDE.South.Asia
## 1876 2009 8.135153 EMDE.South.Asia
## 1877 2010 8.446607 EMDE.South.Asia
## 1878 2011 8.155387 EMDE.South.Asia
## 1879 2012 8.279416 EMDE.South.Asia
## 1880 2013 8.233751 EMDE.South.Asia
## 1881 2014 7.600981 EMDE.South.Asia
## 1882 2015 6.988355 EMDE.South.Asia
## 1883 2016 6.513791 EMDE.South.Asia
## 1884 2017 5.908083 EMDE.South.Asia
## 1885 2018 5.356592 EMDE.South.Asia
## 1886 2019 5.037348 EMDE.South.Asia
## 1887 2020 6.891537 EMDE.South.Asia
## 1888 2021 5.826441 EMDE.South.Asia
## 1889 2022 4.653036 EMDE.South.Asia
## 1890 2023 4.564668 EMDE.South.Asia
## 1891 2024 NA EMDE.South.Asia
## 1892 NA NA Saudi.Arabia
## 1893 1995 7.354386 Saudi.Arabia
## 1894 1996 7.322514 Saudi.Arabia
## 1895 1997 7.023768 Saudi.Arabia
## 1896 1998 6.647258 Saudi.Arabia
## 1897 1999 6.325752 Saudi.Arabia
## 1898 2000 5.845738 Saudi.Arabia
## 1899 2001 5.990523 Saudi.Arabia
## 1900 2002 6.550369 Saudi.Arabia
## 1901 2003 6.762772 Saudi.Arabia
## 1902 2004 6.528094 Saudi.Arabia
## 1903 2005 6.193322 Saudi.Arabia
## 1904 2006 5.750215 Saudi.Arabia
## 1905 2007 5.503190 Saudi.Arabia
## 1906 2008 5.913614 Saudi.Arabia
## 1907 2009 8.135153 Saudi.Arabia
## 1908 2010 8.446607 Saudi.Arabia
## 1909 2011 8.155387 Saudi.Arabia
## 1910 2012 8.279416 Saudi.Arabia
## 1911 2013 8.233751 Saudi.Arabia
## 1912 2014 7.600981 Saudi.Arabia
## 1913 2015 6.988355 Saudi.Arabia
## 1914 2016 6.513791 Saudi.Arabia
## 1915 2017 5.908083 Saudi.Arabia
## 1916 2018 5.356592 Saudi.Arabia
## 1917 2019 5.037348 Saudi.Arabia
## 1918 2020 6.891537 Saudi.Arabia
## 1919 2021 5.826441 Saudi.Arabia
## 1920 2022 4.653036 Saudi.Arabia
## 1921 2023 4.564668 Saudi.Arabia
## 1922 2024 NA Saudi.Arabia
## 1923 NA NA Singapore
## 1924 1995 7.354386 Singapore
## 1925 1996 7.322514 Singapore
## 1926 1997 7.023768 Singapore
## 1927 1998 6.647258 Singapore
## 1928 1999 6.325752 Singapore
## 1929 2000 5.845738 Singapore
## 1930 2001 5.990523 Singapore
## 1931 2002 6.550369 Singapore
## 1932 2003 6.762772 Singapore
## 1933 2004 6.528094 Singapore
## 1934 2005 6.193322 Singapore
## 1935 2006 5.750215 Singapore
## 1936 2007 5.503190 Singapore
## 1937 2008 5.913614 Singapore
## 1938 2009 8.135153 Singapore
## 1939 2010 8.446607 Singapore
## 1940 2011 8.155387 Singapore
## 1941 2012 8.279416 Singapore
## 1942 2013 8.233751 Singapore
## 1943 2014 7.600981 Singapore
## 1944 2015 6.988355 Singapore
## 1945 2016 6.513791 Singapore
## 1946 2017 5.908083 Singapore
## 1947 2018 5.356592 Singapore
## 1948 2019 5.037348 Singapore
## 1949 2020 6.891537 Singapore
## 1950 2021 5.826441 Singapore
## 1951 2022 4.653036 Singapore
## 1952 2023 4.564668 Singapore
## 1953 2024 NA Singapore
## 1954 NA NA EMDE.Sub.Saharan.Africa
## 1955 1995 7.354386 EMDE.Sub.Saharan.Africa
## 1956 1996 7.322514 EMDE.Sub.Saharan.Africa
## 1957 1997 7.023768 EMDE.Sub.Saharan.Africa
## 1958 1998 6.647258 EMDE.Sub.Saharan.Africa
## 1959 1999 6.325752 EMDE.Sub.Saharan.Africa
## 1960 2000 5.845738 EMDE.Sub.Saharan.Africa
## 1961 2001 5.990523 EMDE.Sub.Saharan.Africa
## 1962 2002 6.550369 EMDE.Sub.Saharan.Africa
## 1963 2003 6.762772 EMDE.Sub.Saharan.Africa
## 1964 2004 6.528094 EMDE.Sub.Saharan.Africa
## 1965 2005 6.193322 EMDE.Sub.Saharan.Africa
## 1966 2006 5.750215 EMDE.Sub.Saharan.Africa
## 1967 2007 5.503190 EMDE.Sub.Saharan.Africa
## 1968 2008 5.913614 EMDE.Sub.Saharan.Africa
## 1969 2009 8.135153 EMDE.Sub.Saharan.Africa
## 1970 2010 8.446607 EMDE.Sub.Saharan.Africa
## 1971 2011 8.155387 EMDE.Sub.Saharan.Africa
## 1972 2012 8.279416 EMDE.Sub.Saharan.Africa
## 1973 2013 8.233751 EMDE.Sub.Saharan.Africa
## 1974 2014 7.600981 EMDE.Sub.Saharan.Africa
## 1975 2015 6.988355 EMDE.Sub.Saharan.Africa
## 1976 2016 6.513791 EMDE.Sub.Saharan.Africa
## 1977 2017 5.908083 EMDE.Sub.Saharan.Africa
## 1978 2018 5.356592 EMDE.Sub.Saharan.Africa
## 1979 2019 5.037348 EMDE.Sub.Saharan.Africa
## 1980 2020 6.891537 EMDE.Sub.Saharan.Africa
## 1981 2021 5.826441 EMDE.Sub.Saharan.Africa
## 1982 2022 4.653036 EMDE.Sub.Saharan.Africa
## 1983 2023 4.564668 EMDE.Sub.Saharan.Africa
## 1984 2024 NA EMDE.Sub.Saharan.Africa
## 1985 NA NA Slovakia
## 1986 1995 7.354386 Slovakia
## 1987 1996 7.322514 Slovakia
## 1988 1997 7.023768 Slovakia
## 1989 1998 6.647258 Slovakia
## 1990 1999 6.325752 Slovakia
## 1991 2000 5.845738 Slovakia
## 1992 2001 5.990523 Slovakia
## 1993 2002 6.550369 Slovakia
## 1994 2003 6.762772 Slovakia
## 1995 2004 6.528094 Slovakia
## 1996 2005 6.193322 Slovakia
## 1997 2006 5.750215 Slovakia
## 1998 2007 5.503190 Slovakia
## 1999 2008 5.913614 Slovakia
## 2000 2009 8.135153 Slovakia
## 2001 2010 8.446607 Slovakia
## 2002 2011 8.155387 Slovakia
## 2003 2012 8.279416 Slovakia
## 2004 2013 8.233751 Slovakia
## 2005 2014 7.600981 Slovakia
## 2006 2015 6.988355 Slovakia
## 2007 2016 6.513791 Slovakia
## 2008 2017 5.908083 Slovakia
## 2009 2018 5.356592 Slovakia
## 2010 2019 5.037348 Slovakia
## 2011 2020 6.891537 Slovakia
## 2012 2021 5.826441 Slovakia
## 2013 2022 4.653036 Slovakia
## 2014 2023 4.564668 Slovakia
## 2015 2024 NA Slovakia
## 2016 NA NA Slovenia
## 2017 1995 7.354386 Slovenia
## 2018 1996 7.322514 Slovenia
## 2019 1997 7.023768 Slovenia
## 2020 1998 6.647258 Slovenia
## 2021 1999 6.325752 Slovenia
## 2022 2000 5.845738 Slovenia
## 2023 2001 5.990523 Slovenia
## 2024 2002 6.550369 Slovenia
## 2025 2003 6.762772 Slovenia
## 2026 2004 6.528094 Slovenia
## 2027 2005 6.193322 Slovenia
## 2028 2006 5.750215 Slovenia
## 2029 2007 5.503190 Slovenia
## 2030 2008 5.913614 Slovenia
## 2031 2009 8.135153 Slovenia
## 2032 2010 8.446607 Slovenia
## 2033 2011 8.155387 Slovenia
## 2034 2012 8.279416 Slovenia
## 2035 2013 8.233751 Slovenia
## 2036 2014 7.600981 Slovenia
## 2037 2015 6.988355 Slovenia
## 2038 2016 6.513791 Slovenia
## 2039 2017 5.908083 Slovenia
## 2040 2018 5.356592 Slovenia
## 2041 2019 5.037348 Slovenia
## 2042 2020 6.891537 Slovenia
## 2043 2021 5.826441 Slovenia
## 2044 2022 4.653036 Slovenia
## 2045 2023 4.564668 Slovenia
## 2046 2024 NA Slovenia
## 2047 NA NA Sweden
## 2048 1995 7.354386 Sweden
## 2049 1996 7.322514 Sweden
## 2050 1997 7.023768 Sweden
## 2051 1998 6.647258 Sweden
## 2052 1999 6.325752 Sweden
## 2053 2000 5.845738 Sweden
## 2054 2001 5.990523 Sweden
## 2055 2002 6.550369 Sweden
## 2056 2003 6.762772 Sweden
## 2057 2004 6.528094 Sweden
## 2058 2005 6.193322 Sweden
## 2059 2006 5.750215 Sweden
## 2060 2007 5.503190 Sweden
## 2061 2008 5.913614 Sweden
## 2062 2009 8.135153 Sweden
## 2063 2010 8.446607 Sweden
## 2064 2011 8.155387 Sweden
## 2065 2012 8.279416 Sweden
## 2066 2013 8.233751 Sweden
## 2067 2014 7.600981 Sweden
## 2068 2015 6.988355 Sweden
## 2069 2016 6.513791 Sweden
## 2070 2017 5.908083 Sweden
## 2071 2018 5.356592 Sweden
## 2072 2019 5.037348 Sweden
## 2073 2020 6.891537 Sweden
## 2074 2021 5.826441 Sweden
## 2075 2022 4.653036 Sweden
## 2076 2023 4.564668 Sweden
## 2077 2024 NA Sweden
## 2078 NA NA Thailand
## 2079 1995 7.354386 Thailand
## 2080 1996 7.322514 Thailand
## 2081 1997 7.023768 Thailand
## 2082 1998 6.647258 Thailand
## 2083 1999 6.325752 Thailand
## 2084 2000 5.845738 Thailand
## 2085 2001 5.990523 Thailand
## 2086 2002 6.550369 Thailand
## 2087 2003 6.762772 Thailand
## 2088 2004 6.528094 Thailand
## 2089 2005 6.193322 Thailand
## 2090 2006 5.750215 Thailand
## 2091 2007 5.503190 Thailand
## 2092 2008 5.913614 Thailand
## 2093 2009 8.135153 Thailand
## 2094 2010 8.446607 Thailand
## 2095 2011 8.155387 Thailand
## 2096 2012 8.279416 Thailand
## 2097 2013 8.233751 Thailand
## 2098 2014 7.600981 Thailand
## 2099 2015 6.988355 Thailand
## 2100 2016 6.513791 Thailand
## 2101 2017 5.908083 Thailand
## 2102 2018 5.356592 Thailand
## 2103 2019 5.037348 Thailand
## 2104 2020 6.891537 Thailand
## 2105 2021 5.826441 Thailand
## 2106 2022 4.653036 Thailand
## 2107 2023 4.564668 Thailand
## 2108 2024 NA Thailand
## 2109 NA NA Tunisia
## 2110 1995 7.354386 Tunisia
## 2111 1996 7.322514 Tunisia
## 2112 1997 7.023768 Tunisia
## 2113 1998 6.647258 Tunisia
## 2114 1999 6.325752 Tunisia
## 2115 2000 5.845738 Tunisia
## 2116 2001 5.990523 Tunisia
## 2117 2002 6.550369 Tunisia
## 2118 2003 6.762772 Tunisia
## 2119 2004 6.528094 Tunisia
## 2120 2005 6.193322 Tunisia
## 2121 2006 5.750215 Tunisia
## 2122 2007 5.503190 Tunisia
## 2123 2008 5.913614 Tunisia
## 2124 2009 8.135153 Tunisia
## 2125 2010 8.446607 Tunisia
## 2126 2011 8.155387 Tunisia
## 2127 2012 8.279416 Tunisia
## 2128 2013 8.233751 Tunisia
## 2129 2014 7.600981 Tunisia
## 2130 2015 6.988355 Tunisia
## 2131 2016 6.513791 Tunisia
## 2132 2017 5.908083 Tunisia
## 2133 2018 5.356592 Tunisia
## 2134 2019 5.037348 Tunisia
## 2135 2020 6.891537 Tunisia
## 2136 2021 5.826441 Tunisia
## 2137 2022 4.653036 Tunisia
## 2138 2023 4.564668 Tunisia
## 2139 2024 NA Tunisia
## 2140 NA NA Turkey
## 2141 1995 7.354386 Turkey
## 2142 1996 7.322514 Turkey
## 2143 1997 7.023768 Turkey
## 2144 1998 6.647258 Turkey
## 2145 1999 6.325752 Turkey
## 2146 2000 5.845738 Turkey
## 2147 2001 5.990523 Turkey
## 2148 2002 6.550369 Turkey
## 2149 2003 6.762772 Turkey
## 2150 2004 6.528094 Turkey
## 2151 2005 6.193322 Turkey
## 2152 2006 5.750215 Turkey
## 2153 2007 5.503190 Turkey
## 2154 2008 5.913614 Turkey
## 2155 2009 8.135153 Turkey
## 2156 2010 8.446607 Turkey
## 2157 2011 8.155387 Turkey
## 2158 2012 8.279416 Turkey
## 2159 2013 8.233751 Turkey
## 2160 2014 7.600981 Turkey
## 2161 2015 6.988355 Turkey
## 2162 2016 6.513791 Turkey
## 2163 2017 5.908083 Turkey
## 2164 2018 5.356592 Turkey
## 2165 2019 5.037348 Turkey
## 2166 2020 6.891537 Turkey
## 2167 2021 5.826441 Turkey
## 2168 2022 4.653036 Turkey
## 2169 2023 4.564668 Turkey
## 2170 2024 NA Turkey
## 2171 NA NA Taiwan..China
## 2172 1995 7.354386 Taiwan..China
## 2173 1996 7.322514 Taiwan..China
## 2174 1997 7.023768 Taiwan..China
## 2175 1998 6.647258 Taiwan..China
## 2176 1999 6.325752 Taiwan..China
## 2177 2000 5.845738 Taiwan..China
## 2178 2001 5.990523 Taiwan..China
## 2179 2002 6.550369 Taiwan..China
## 2180 2003 6.762772 Taiwan..China
## 2181 2004 6.528094 Taiwan..China
## 2182 2005 6.193322 Taiwan..China
## 2183 2006 5.750215 Taiwan..China
## 2184 2007 5.503190 Taiwan..China
## 2185 2008 5.913614 Taiwan..China
## 2186 2009 8.135153 Taiwan..China
## 2187 2010 8.446607 Taiwan..China
## 2188 2011 8.155387 Taiwan..China
## 2189 2012 8.279416 Taiwan..China
## 2190 2013 8.233751 Taiwan..China
## 2191 2014 7.600981 Taiwan..China
## 2192 2015 6.988355 Taiwan..China
## 2193 2016 6.513791 Taiwan..China
## 2194 2017 5.908083 Taiwan..China
## 2195 2018 5.356592 Taiwan..China
## 2196 2019 5.037348 Taiwan..China
## 2197 2020 6.891537 Taiwan..China
## 2198 2021 5.826441 Taiwan..China
## 2199 2022 4.653036 Taiwan..China
## 2200 2023 4.564668 Taiwan..China
## 2201 2024 NA Taiwan..China
## 2202 NA NA Uruguay
## 2203 1995 7.354386 Uruguay
## 2204 1996 7.322514 Uruguay
## 2205 1997 7.023768 Uruguay
## 2206 1998 6.647258 Uruguay
## 2207 1999 6.325752 Uruguay
## 2208 2000 5.845738 Uruguay
## 2209 2001 5.990523 Uruguay
## 2210 2002 6.550369 Uruguay
## 2211 2003 6.762772 Uruguay
## 2212 2004 6.528094 Uruguay
## 2213 2005 6.193322 Uruguay
## 2214 2006 5.750215 Uruguay
## 2215 2007 5.503190 Uruguay
## 2216 2008 5.913614 Uruguay
## 2217 2009 8.135153 Uruguay
## 2218 2010 8.446607 Uruguay
## 2219 2011 8.155387 Uruguay
## 2220 2012 8.279416 Uruguay
## 2221 2013 8.233751 Uruguay
## 2222 2014 7.600981 Uruguay
## 2223 2015 6.988355 Uruguay
## 2224 2016 6.513791 Uruguay
## 2225 2017 5.908083 Uruguay
## 2226 2018 5.356592 Uruguay
## 2227 2019 5.037348 Uruguay
## 2228 2020 6.891537 Uruguay
## 2229 2021 5.826441 Uruguay
## 2230 2022 4.653036 Uruguay
## 2231 2023 4.564668 Uruguay
## 2232 2024 NA Uruguay
## 2233 NA NA United.States
## 2234 1995 7.354386 United.States
## 2235 1996 7.322514 United.States
## 2236 1997 7.023768 United.States
## 2237 1998 6.647258 United.States
## 2238 1999 6.325752 United.States
## 2239 2000 5.845738 United.States
## 2240 2001 5.990523 United.States
## 2241 2002 6.550369 United.States
## 2242 2003 6.762772 United.States
## 2243 2004 6.528094 United.States
## 2244 2005 6.193322 United.States
## 2245 2006 5.750215 United.States
## 2246 2007 5.503190 United.States
## 2247 2008 5.913614 United.States
## 2248 2009 8.135153 United.States
## 2249 2010 8.446607 United.States
## 2250 2011 8.155387 United.States
## 2251 2012 8.279416 United.States
## 2252 2013 8.233751 United.States
## 2253 2014 7.600981 United.States
## 2254 2015 6.988355 United.States
## 2255 2016 6.513791 United.States
## 2256 2017 5.908083 United.States
## 2257 2018 5.356592 United.States
## 2258 2019 5.037348 United.States
## 2259 2020 6.891537 United.States
## 2260 2021 5.826441 United.States
## 2261 2022 4.653036 United.States
## 2262 2023 4.564668 United.States
## 2263 2024 NA United.States
## 2264 NA NA Venezuela..RB
## 2265 1995 7.354386 Venezuela..RB
## 2266 1996 7.322514 Venezuela..RB
## 2267 1997 7.023768 Venezuela..RB
## 2268 1998 6.647258 Venezuela..RB
## 2269 1999 6.325752 Venezuela..RB
## 2270 2000 5.845738 Venezuela..RB
## 2271 2001 5.990523 Venezuela..RB
## 2272 2002 6.550369 Venezuela..RB
## 2273 2003 6.762772 Venezuela..RB
## 2274 2004 6.528094 Venezuela..RB
## 2275 2005 6.193322 Venezuela..RB
## 2276 2006 5.750215 Venezuela..RB
## 2277 2007 5.503190 Venezuela..RB
## 2278 2008 5.913614 Venezuela..RB
## 2279 2009 8.135153 Venezuela..RB
## 2280 2010 8.446607 Venezuela..RB
## 2281 2011 8.155387 Venezuela..RB
## 2282 2012 8.279416 Venezuela..RB
## 2283 2013 8.233751 Venezuela..RB
## 2284 2014 7.600981 Venezuela..RB
## 2285 2015 6.988355 Venezuela..RB
## 2286 2016 6.513791 Venezuela..RB
## 2287 2017 5.908083 Venezuela..RB
## 2288 2018 5.356592 Venezuela..RB
## 2289 2019 5.037348 Venezuela..RB
## 2290 2020 6.891537 Venezuela..RB
## 2291 2021 5.826441 Venezuela..RB
## 2292 2022 4.653036 Venezuela..RB
## 2293 2023 4.564668 Venezuela..RB
## 2294 2024 NA Venezuela..RB
## 2295 NA NA Viet.Nam
## 2296 1995 7.354386 Viet.Nam
## 2297 1996 7.322514 Viet.Nam
## 2298 1997 7.023768 Viet.Nam
## 2299 1998 6.647258 Viet.Nam
## 2300 1999 6.325752 Viet.Nam
## 2301 2000 5.845738 Viet.Nam
## 2302 2001 5.990523 Viet.Nam
## 2303 2002 6.550369 Viet.Nam
## 2304 2003 6.762772 Viet.Nam
## 2305 2004 6.528094 Viet.Nam
## 2306 2005 6.193322 Viet.Nam
## 2307 2006 5.750215 Viet.Nam
## 2308 2007 5.503190 Viet.Nam
## 2309 2008 5.913614 Viet.Nam
## 2310 2009 8.135153 Viet.Nam
## 2311 2010 8.446607 Viet.Nam
## 2312 2011 8.155387 Viet.Nam
## 2313 2012 8.279416 Viet.Nam
## 2314 2013 8.233751 Viet.Nam
## 2315 2014 7.600981 Viet.Nam
## 2316 2015 6.988355 Viet.Nam
## 2317 2016 6.513791 Viet.Nam
## 2318 2017 5.908083 Viet.Nam
## 2319 2018 5.356592 Viet.Nam
## 2320 2019 5.037348 Viet.Nam
## 2321 2020 6.891537 Viet.Nam
## 2322 2021 5.826441 Viet.Nam
## 2323 2022 4.653036 Viet.Nam
## 2324 2023 4.564668 Viet.Nam
## 2325 2024 NA Viet.Nam
## 2326 NA NA World..WBG.members.
## 2327 1995 7.354386 World..WBG.members.
## 2328 1996 7.322514 World..WBG.members.
## 2329 1997 7.023768 World..WBG.members.
## 2330 1998 6.647258 World..WBG.members.
## 2331 1999 6.325752 World..WBG.members.
## 2332 2000 5.845738 World..WBG.members.
## 2333 2001 5.990523 World..WBG.members.
## 2334 2002 6.550369 World..WBG.members.
## 2335 2003 6.762772 World..WBG.members.
## 2336 2004 6.528094 World..WBG.members.
## 2337 2005 6.193322 World..WBG.members.
## 2338 2006 5.750215 World..WBG.members.
## 2339 2007 5.503190 World..WBG.members.
## 2340 2008 5.913614 World..WBG.members.
## 2341 2009 8.135153 World..WBG.members.
## 2342 2010 8.446607 World..WBG.members.
## 2343 2011 8.155387 World..WBG.members.
## 2344 2012 8.279416 World..WBG.members.
## 2345 2013 8.233751 World..WBG.members.
## 2346 2014 7.600981 World..WBG.members.
## 2347 2015 6.988355 World..WBG.members.
## 2348 2016 6.513791 World..WBG.members.
## 2349 2017 5.908083 World..WBG.members.
## 2350 2018 5.356592 World..WBG.members.
## 2351 2019 5.037348 World..WBG.members.
## 2352 2020 6.891537 World..WBG.members.
## 2353 2021 5.826441 World..WBG.members.
## 2354 2022 4.653036 World..WBG.members.
## 2355 2023 4.564668 World..WBG.members.
## 2356 2024 NA World..WBG.members.
## 2357 NA NA South.Africa
## 2358 1995 7.354386 South.Africa
## 2359 1996 7.322514 South.Africa
## 2360 1997 7.023768 South.Africa
## 2361 1998 6.647258 South.Africa
## 2362 1999 6.325752 South.Africa
## 2363 2000 5.845738 South.Africa
## 2364 2001 5.990523 South.Africa
## 2365 2002 6.550369 South.Africa
## 2366 2003 6.762772 South.Africa
## 2367 2004 6.528094 South.Africa
## 2368 2005 6.193322 South.Africa
## 2369 2006 5.750215 South.Africa
## 2370 2007 5.503190 South.Africa
## 2371 2008 5.913614 South.Africa
## 2372 2009 8.135153 South.Africa
## 2373 2010 8.446607 South.Africa
## 2374 2011 8.155387 South.Africa
## 2375 2012 8.279416 South.Africa
## 2376 2013 8.233751 South.Africa
## 2377 2014 7.600981 South.Africa
## 2378 2015 6.988355 South.Africa
## 2379 2016 6.513791 South.Africa
## 2380 2017 5.908083 South.Africa
## 2381 2018 5.356592 South.Africa
## 2382 2019 5.037348 South.Africa
## 2383 2020 6.891537 South.Africa
## 2384 2021 5.826441 South.Africa
## 2385 2022 4.653036 South.Africa
## 2386 2023 4.564668 South.Africa
## 2387 2024 NA South.Africa
## unemployees_rate
## 1 NA
## 2 NA
## 3 NA
## 4 NA
## 5 NA
## 6 NA
## 7 NA
## 8 NA
## 9 22.425370
## 10 17.216580
## 11 13.622010
## 12 11.560380
## 13 10.150660
## 14 8.445447
## 15 7.856472
## 16 8.667090
## 17 7.745602
## 18 7.154079
## 19 7.214806
## 20 7.075905
## 21 7.268935
## 22 6.607550
## 23 8.463213
## 24 8.337304
## 25 9.207866
## 26 9.800519
## 27 11.532220
## 28 8.721822
## 29 6.833012
## 30 6.126724
## 31 NA
## 32 NA
## 33 8.471058
## 34 8.516425
## 35 8.363718
## 36 7.651377
## 37 6.869885
## 38 6.273074
## 39 6.765134
## 40 6.358194
## 41 5.931701
## 42 5.395828
## 43 5.033575
## 44 4.773106
## 45 4.369390
## 46 4.245414
## 47 5.564415
## 48 5.182600
## 49 5.084525
## 50 5.223267
## 51 5.670084
## 52 6.086423
## 53 6.054337
## 54 5.715893
## 55 5.594318
## 56 5.307342
## 57 5.168636
## 58 6.462833
## 59 5.126974
## 60 3.715796
## 61 3.686314
## 62 NA
## 63 NA
## 64 6.589767
## 65 7.033851
## 66 7.103283
## 67 7.184796
## 68 6.645249
## 69 5.803798
## 70 6.094126
## 71 6.871619
## 72 7.014325
## 73 7.067989
## 74 7.272197
## 75 6.779983
## 76 6.212382
## 77 5.900164
## 78 7.277309
## 79 6.924717
## 80 6.724668
## 81 6.980577
## 82 7.614801
## 83 8.365302
## 84 9.102527
## 85 9.063412
## 86 8.515910
## 87 7.711786
## 88 7.352249
## 89 9.996428
## 90 7.984046
## 91 6.289696
## 92 6.409709
## 93 6.960725
## 94 NA
## 95 9.673502
## 96 9.544409
## 97 9.212289
## 98 9.340881
## 99 8.411080
## 100 6.875592
## 101 6.589738
## 102 7.526965
## 103 8.182808
## 104 8.390290
## 105 8.441851
## 106 8.259000
## 107 7.488011
## 108 6.964915
## 109 7.986733
## 110 8.371863
## 111 7.208805
## 112 7.632052
## 113 8.554486
## 114 8.653592
## 115 8.655775
## 116 7.850313
## 117 7.097306
## 118 5.958609
## 119 5.366175
## 120 5.531549
## 121 6.273749
## 122 5.578462
## 123 5.526029
## 124 NA
## 125 NA
## 126 11.385830
## 127 11.061670
## 128 14.045830
## 129 12.203330
## 130 13.782500
## 131 18.129170
## 132 17.508330
## 133 17.426670
## 134 14.259170
## 135 12.670000
## 136 11.450830
## 137 9.602500
## 138 7.736667
## 139 6.302500
## 140 7.584167
## 141 9.474167
## 142 9.594167
## 143 11.089170
## 144 11.312500
## 145 11.160000
## 146 10.060000
## 147 8.685833
## 148 7.199167
## 149 6.175833
## 150 5.650000
## 151 7.359167
## 152 5.521667
## 153 4.499167
## 154 5.280000
## 155 NA
## 156 NA
## 157 NA
## 158 NA
## 159 NA
## 160 NA
## 161 NA
## 162 NA
## 163 NA
## 164 NA
## 165 NA
## 166 NA
## 167 NA
## 168 16.000000
## 169 5.600000
## 170 3.700000
## 171 4.000000
## 172 3.600000
## 173 4.000000
## 174 3.700000
## 175 4.300000
## 176 3.800000
## 177 3.500000
## 178 3.900000
## 179 4.100000
## 180 4.300000
## 181 4.700000
## 182 5.900000
## 183 5.900000
## 184 5.400000
## 185 6.300000
## 186 NA
## 187 NA
## 188 NA
## 189 NA
## 190 NA
## 191 NA
## 192 NA
## 193 NA
## 194 NA
## 195 NA
## 196 NA
## 197 NA
## 198 NA
## 199 NA
## 200 NA
## 201 NA
## 202 NA
## 203 NA
## 204 NA
## 205 NA
## 206 NA
## 207 NA
## 208 NA
## 209 6.173138
## 210 5.671507
## 211 4.826157
## 212 4.222985
## 213 4.101191
## 214 3.923700
## 215 3.598539
## 216 3.474964
## 217 NA
## 218 NA
## 219 NA
## 220 NA
## 221 NA
## 222 NA
## 223 NA
## 224 NA
## 225 NA
## 226 NA
## 227 NA
## 228 NA
## 229 NA
## 230 NA
## 231 NA
## 232 NA
## 233 NA
## 234 NA
## 235 NA
## 236 NA
## 237 7.289735
## 238 6.875286
## 239 8.443451
## 240 11.403450
## 241 12.864940
## 242 12.373760
## 243 12.049110
## 244 13.525280
## 245 13.481030
## 246 9.497428
## 247 8.040467
## 248 NA
## 249 NA
## 250 9.466667
## 251 9.608333
## 252 9.091667
## 253 8.291667
## 254 7.566667
## 255 6.833333
## 256 7.225000
## 257 7.683333
## 258 7.591667
## 259 7.150000
## 260 6.750000
## 261 6.450000
## 262 6.158333
## 263 6.308333
## 264 8.458333
## 265 8.141667
## 266 7.616667
## 267 7.408333
## 268 7.175000
## 269 7.033333
## 270 6.950000
## 271 7.033333
## 272 6.408333
## 273 5.850000
## 274 5.700000
## 275 9.725000
## 276 7.483333
## 277 5.266667
## 278 5.408333
## 279 NA
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## 1887 NA
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## 1889 NA
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## 1898 4.571755
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## 1920 4.769607
## 1921 NA
## 1922 NA
## 1923 NA
## 1924 1.725000
## 1925 1.650000
## 1926 1.425000
## 1927 2.575000
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## 1947 2.125000
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## 1949 3.025000
## 1950 2.650000
## 1951 2.125000
## 1952 1.925000
## 1953 NA
## 1954 NA
## 1955 NA
## 1956 NA
## 1957 NA
## 1958 NA
## 1959 NA
## 1960 NA
## 1961 NA
## 1962 27.838130
## 1963 27.567540
## 1964 25.092540
## 1965 24.631840
## 1966 23.487250
## 1967 22.884950
## 1968 22.469100
## 1969 23.669050
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## 1977 27.410290
## 1978 27.089090
## 1979 28.671330
## 1980 29.151720
## 1981 34.314830
## 1982 33.528110
## 1983 32.394110
## 1984 NA
## 1985 NA
## 1986 13.680830
## 1987 12.605000
## 1988 12.914170
## 1989 13.825000
## 1990 17.490830
## 1991 18.265000
## 1992 18.266670
## 1993 17.808330
## 1994 15.181670
## 1995 14.241670
## 1996 11.625830
## 1997 10.362500
## 1998 8.420833
## 1999 7.645000
## 2000 11.440000
## 2001 12.472500
## 2002 13.151670
## 2003 13.580830
## 2004 14.100000
## 2005 12.781670
## 2006 11.493330
## 2007 9.480000
## 2008 7.060833
## 2009 5.420000
## 2010 5.001667
## 2011 6.788333
## 2012 7.476667
## 2013 6.310000
## 2014 5.298333
## 2015 NA
## 2016 NA
## 2017 14.041670
## 2018 13.916670
## 2019 14.416670
## 2020 14.483330
## 2021 13.566670
## 2022 12.183330
## 2023 11.558330
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## 2224 7.875000
## 2225 7.925000
## 2226 8.366667
## 2227 8.925000
## 2228 10.350000
## 2229 9.366667
## 2230 7.875000
## 2231 8.325000
## 2232 NA
## 2233 NA
## 2234 5.591667
## 2235 5.408333
## 2236 4.941667
## 2237 4.500000
## 2238 4.216667
## 2239 3.966667
## 2240 4.741667
## 2241 5.783333
## 2242 5.991667
## 2243 5.541667
## 2244 5.083333
## 2245 4.608333
## 2246 4.616667
## 2247 5.800000
## 2248 9.283333
## 2249 9.608333
## 2250 8.933333
## 2251 8.075000
## 2252 7.358333
## 2253 6.158333
## 2254 5.275000
## 2255 4.875000
## 2256 4.358333
## 2257 3.891667
## 2258 3.675000
## 2259 8.091667
## 2260 5.350000
## 2261 3.633333
## 2262 3.625000
## 2263 4.000000
## 2264 NA
## 2265 NA
## 2266 NA
## 2267 NA
## 2268 NA
## 2269 14.503670
## 2270 13.981880
## 2271 13.352400
## 2272 16.229960
## 2273 18.074330
## 2274 14.996840
## 2275 12.195670
## 2276 9.944667
## 2277 8.454346
## 2278 7.340996
## 2279 7.896865
## 2280 8.512560
## 2281 8.182989
## 2282 7.801805
## 2283 7.518473
## 2284 6.921237
## 2285 6.809548
## 2286 7.284966
## 2287 7.183809
## 2288 6.908740
## 2289 NA
## 2290 NA
## 2291 NA
## 2292 NA
## 2293 NA
## 2294 NA
## 2295 NA
## 2296 NA
## 2297 NA
## 2298 NA
## 2299 NA
## 2300 NA
## 2301 NA
## 2302 NA
## 2303 NA
## 2304 NA
## 2305 NA
## 2306 NA
## 2307 NA
## 2308 NA
## 2309 2.380000
## 2310 2.900000
## 2311 2.910000
## 2312 2.220000
## 2313 1.950000
## 2314 2.170000
## 2315 2.100000
## 2316 2.340000
## 2317 2.290000
## 2318 2.220000
## 2319 2.190000
## 2320 2.170000
## 2321 2.480000
## 2322 3.200000
## 2323 2.340000
## 2324 2.280000
## 2325 NA
## 2326 NA
## 2327 NA
## 2328 NA
## 2329 NA
## 2330 NA
## 2331 NA
## 2332 NA
## 2333 NA
## 2334 8.421016
## 2335 8.359090
## 2336 7.960626
## 2337 7.560700
## 2338 6.898368
## 2339 6.362066
## 2340 6.494312
## 2341 8.016663
## 2342 8.040930
## 2343 7.789569
## 2344 7.723256
## 2345 7.755923
## 2346 7.407497
## 2347 7.228652
## 2348 7.299880
## 2349 7.085289
## 2350 6.649984
## 2351 6.600923
## 2352 8.278336
## 2353 7.441054
## 2354 6.059352
## 2355 5.677601
## 2356 NA
## 2357 NA
## 2358 NA
## 2359 NA
## 2360 NA
## 2361 NA
## 2362 NA
## 2363 NA
## 2364 26.055110
## 2365 27.838130
## 2366 27.567540
## 2367 25.092540
## 2368 24.631840
## 2369 23.487250
## 2370 22.884950
## 2371 22.469100
## 2372 23.669050
## 2373 24.840620
## 2374 24.787830
## 2375 24.880340
## 2376 24.730590
## 2377 25.100010
## 2378 25.335990
## 2379 26.701380
## 2380 27.410290
## 2381 27.089090
## 2382 28.671330
## 2383 29.151720
## 2384 34.314830
## 2385 33.528110
## 2386 32.394110
## 2387 NAUMp_dataset<- select(UMp_dataset, year,Advanced_Economies,country,unemployees_rate) %>%
na.omit(UMp_dataset) %>%
group_by(year)
head(UMp_dataset)## # A tibble: 6 × 4
## # Groups: year [6]
## year Advanced_Economies country unemployees_rate
## <int> <dbl> <chr> <dbl>
## 1 2002 6.55 Argentina 22.4
## 2 2003 6.76 Argentina 17.2
## 3 2004 6.53 Argentina 13.6
## 4 2005 6.19 Argentina 11.6
## 5 2006 5.75 Argentina 10.2
## 6 2007 5.50 Argentina 8.45UMp_dataset <- subset(UMp_dataset,country == "Argentina")
ggplot(UMp_dataset, aes(x=UMp_dataset$year, y=UMp_dataset$unemployees_rate, fill = UMp_dataset$country))+
geom_bar(stat='identity', position = 'dodge')
#================================dataset 2===============================================================================================================
Industrial_dataset<- read.csv("https://raw.githubusercontent.com/asadny82/Data607/refs/heads/main/Industrial%20Production.csv", header=TRUE, sep=",")
Industrial_dataset## X Advanced.Economies Austria Belgium Bangladesh Bulgaria
## 1 NA NA NA NA NA NA
## 2 1995 7.95e+12 7.53e+10 6.68e+10 NA NA
## 3 1996 8.14e+12 7.44e+10 6.71e+10 NA NA
## 4 1997 8.54e+12 7.92e+10 7.04e+10 NA NA
## 5 1998 8.69e+12 8.59e+10 7.25e+10 NA NA
## 6 1999 8.95e+12 9.13e+10 7.33e+10 NA NA
## 7 2000 9.40e+12 1.00e+11 8.25e+10 NA 9.75e+09
## 8 2001 9.20e+12 1.03e+11 8.61e+10 NA 9.95e+09
## 9 2002 9.21e+12 1.04e+11 8.65e+10 NA 1.04e+10
## 10 2003 9.34e+12 1.06e+11 8.77e+10 NA 1.18e+10
## 11 2004 9.65e+12 1.13e+11 9.40e+10 NA 1.33e+10
## 12 2005 9.85e+12 1.18e+11 9.72e+10 NA 1.42e+10
## 13 2006 1.02e+13 1.27e+11 1.03e+11 NA 1.51e+10
## 14 2007 1.05e+13 1.34e+11 1.11e+11 NA 1.65e+10
## 15 2008 1.02e+13 1.37e+11 1.16e+11 2.56e+10 1.66e+10
## 16 2009 8.83e+12 1.21e+11 1.03e+11 2.72e+10 1.36e+10
## 17 2010 9.52e+12 1.29e+11 1.12e+11 2.98e+10 1.39e+10
## 18 2011 9.68e+12 1.37e+11 1.18e+11 3.49e+10 1.47e+10
## 19 2012 9.72e+12 1.38e+11 1.16e+11 3.82e+10 1.46e+10
## 20 2013 9.73e+12 1.39e+11 1.15e+11 4.12e+10 1.46e+10
## 21 2014 9.91e+12 1.39e+11 1.17e+11 4.48e+10 1.49e+10
## 22 2015 9.94e+12 1.41e+11 1.16e+11 5.08e+10 1.53e+10
## 23 2016 9.94e+12 1.45e+11 1.21e+11 5.65e+10 1.57e+10
## 24 2017 1.02e+13 1.52e+11 1.24e+11 6.48e+10 1.62e+10
## 25 2018 1.04e+13 1.60e+11 1.26e+11 7.43e+10 1.63e+10
## 26 2019 1.03e+13 1.60e+11 1.32e+11 8.05e+10 1.64e+10
## 27 2020 9.59e+12 1.51e+11 1.27e+11 8.16e+10 1.54e+10
## 28 2021 1.01e+13 1.68e+11 1.60e+11 NA 1.69e+10
## 29 2022 1.03e+13 1.76e+11 1.59e+11 NA 1.91e+10
## 30 2023 1.02e+13 1.74e+11 1.47e+11 NA 1.75e+10
## 31 2024 NA NA NA NA NA
## Bosnia.and.Herzegovina Belarus Brazil Barbados Canada Chile
## 1 NA NA NA NA NA NA
## 2 NA NA 3.91e+11 479000000 1.90e+11 5.52e+10
## 3 NA NA 3.98e+11 483000000 1.92e+11 5.65e+10
## 4 NA NA 4.13e+11 505000000 2.02e+11 5.88e+10
## 5 NA NA 4.05e+11 538000000 2.09e+11 5.81e+10
## 6 NA NA 4.02e+11 533000000 2.21e+11 5.74e+10
## 7 NA NA 4.29e+11 524000000 2.37e+11 5.98e+10
## 8 NA NA 4.36e+11 492000000 2.29e+11 6.03e+10
## 9 NA NA 4.48e+11 495000000 2.34e+11 6.18e+10
## 10 NA NA 4.49e+11 491000000 2.34e+11 6.50e+10
## 11 NA NA 4.87e+11 509000000 2.39e+11 7.07e+10
## 12 NA NA 5.00e+11 518000000 2.44e+11 7.46e+10
## 13 3.85e+09 NA 5.14e+11 525000000 2.44e+11 7.70e+10
## 14 4.10e+09 NA 5.44e+11 524000000 2.40e+11 8.01e+10
## 15 4.52e+09 1.98e+10 5.61e+11 513000000 2.32e+11 8.02e+10
## 16 4.23e+09 1.93e+10 5.21e+11 464000000 2.07e+11 7.49e+10
## 17 4.41e+09 2.53e+10 5.74e+11 456000000 2.20e+11 7.65e+10
## 18 4.52e+09 5.27e+10 5.77e+11 438000000 2.30e+11 7.93e+10
## 19 4.34e+09 9.33e+10 5.63e+11 418000000 2.30e+11 8.19e+10
## 20 4.56e+09 9.18e+10 5.75e+11 419000000 2.34e+11 8.47e+10
## 21 4.57e+09 1.02e+11 5.58e+11 NA 2.46e+11 8.50e+10
## 22 4.71e+09 1.12e+11 5.12e+11 NA 2.44e+11 8.54e+10
## 23 4.92e+09 1.24e+11 4.79e+11 NA 2.44e+11 8.47e+10
## 24 5.07e+09 1.43e+11 4.91e+11 NA 2.53e+11 8.37e+10
## 25 5.15e+09 1.67e+11 4.96e+11 NA 2.62e+11 8.66e+10
## 26 4.88e+09 1.72e+11 4.90e+11 NA 2.61e+11 8.63e+10
## 27 4.57e+09 1.77e+11 4.69e+11 NA 2.41e+11 8.55e+10
## 28 5.02e+09 2.34e+11 4.87e+11 NA 2.53e+11 8.74e+10
## 29 5.06e+09 2.57e+11 4.84e+11 NA 2.63e+11 8.49e+10
## 30 4.87e+09 2.84e+11 4.84e+11 NA NA 8.46e+10
## 31 NA NA NA NA NA NA
## China Colombia Costa.Rica Cyprus Czech.Republic Germany Denmark
## 1 NA NA NA NA NA NA NA
## 2 NA 8.00e+10 4.96e+09 3.05e+09 5.05e+10 8.49e+11 6.61e+10
## 3 NA 7.79e+10 4.96e+09 2.95e+09 5.15e+10 8.49e+11 6.70e+10
## 4 5.54e+11 7.97e+10 5.28e+09 2.95e+09 5.39e+10 8.73e+11 7.03e+10
## 5 6.04e+11 7.86e+10 5.66e+09 3.03e+09 5.48e+10 9.10e+11 7.23e+10
## 6 6.57e+11 6.80e+10 5.95e+09 3.04e+09 5.30e+10 9.22e+11 7.25e+10
## 7 7.32e+11 7.46e+10 6.13e+09 3.16e+09 5.51e+10 9.69e+11 7.81e+10
## 8 8.03e+11 7.53e+10 6.33e+09 3.22e+09 5.92e+10 9.68e+11 7.97e+10
## 9 9.05e+11 7.53e+10 6.56e+09 3.35e+09 6.04e+10 9.57e+11 8.03e+10
## 10 1.06e+12 7.67e+10 6.87e+09 3.41e+09 6.26e+10 9.63e+11 7.87e+10
## 11 1.23e+12 8.12e+10 7.20e+09 3.48e+09 6.91e+10 1.00e+12 7.86e+10
## 12 1.43e+12 8.44e+10 7.52e+09 3.48e+09 7.18e+10 1.03e+12 8.18e+10
## 13 1.67e+12 9.30e+10 8.04e+09 3.51e+09 7.78e+10 1.09e+12 8.39e+10
## 14 1.97e+12 1.02e+11 8.65e+09 3.67e+09 8.61e+10 1.15e+12 8.26e+10
## 15 2.22e+12 9.87e+10 8.93e+09 3.78e+09 8.45e+10 1.16e+12 8.16e+10
## 16 2.47e+12 9.37e+10 8.65e+09 3.48e+09 7.30e+10 9.69e+11 6.87e+10
## 17 2.85e+12 9.77e+10 9.02e+09 3.40e+09 7.93e+10 1.08e+12 6.96e+10
## 18 3.24e+12 1.02e+11 9.38e+09 3.16e+09 8.40e+10 1.15e+12 7.14e+10
## 19 3.57e+12 1.02e+11 9.77e+09 2.84e+09 8.33e+10 1.14e+12 7.21e+10
## 20 3.91e+12 1.01e+11 9.99e+09 2.46e+09 8.32e+10 1.14e+12 7.17e+10
## 21 4.24e+12 1.02e+11 1.03e+10 2.46e+09 8.73e+10 1.16e+12 7.28e+10
## 22 4.50e+12 1.04e+11 1.09e+10 2.46e+09 9.11e+10 1.17e+12 7.40e+10
## 23 4.77e+12 1.04e+11 1.14e+10 2.71e+09 9.42e+10 1.19e+12 7.70e+10
## 24 5.08e+12 1.04e+11 1.17e+10 2.94e+09 1.00e+11 1.22e+12 7.82e+10
## 25 5.40e+12 1.06e+11 1.21e+10 3.14e+09 1.03e+11 1.23e+12 8.01e+10
## 26 5.71e+12 1.08e+11 1.22e+10 3.26e+09 1.03e+11 1.19e+12 8.26e+10
## 27 5.81e+12 9.71e+10 1.16e+10 3.02e+09 9.59e+10 1.08e+12 7.80e+10
## 28 6.45e+12 1.07e+11 1.25e+10 3.27e+09 1.02e+11 1.13e+12 8.55e+10
## 29 6.69e+12 1.15e+11 1.31e+10 3.38e+09 1.05e+11 1.13e+12 9.66e+10
## 30 6.98e+12 1.13e+11 1.38e+10 3.44e+09 1.03e+11 1.10e+12 1.06e+11
## 31 NA NA NA NA NA NA NA
## Dominican.Republic EMDE.East.Asia...Pacific EMDE.Europe...Central.Asia
## 1 NA NA NA
## 2 NA NA 6.82e+11
## 3 NA NA 6.85e+11
## 4 NA NA 6.91e+11
## 5 NA 1.05e+12 6.69e+11
## 6 NA 1.12e+12 6.96e+11
## 7 NA 1.23e+12 7.78e+11
## 8 NA 1.31e+12 7.85e+11
## 9 NA 1.43e+12 8.22e+11
## 10 NA 1.62e+12 8.91e+11
## 11 NA 1.82e+12 9.71e+11
## 12 NA 2.05e+12 1.03e+12
## 13 NA 2.29e+12 1.11e+12
## 14 1.63e+10 2.62e+12 1.19e+12
## 15 1.74e+10 2.89e+12 1.21e+12
## 16 1.66e+10 3.11e+12 1.10e+12
## 17 1.79e+10 3.56e+12 1.19e+12
## 18 1.85e+10 3.97e+12 1.31e+12
## 19 1.85e+10 4.33e+12 1.38e+12
## 20 1.92e+10 4.69e+12 1.42e+12
## 21 2.03e+10 5.06e+12 1.47e+12
## 22 2.13e+10 5.33e+12 1.54e+12
## 23 2.20e+10 5.65e+12 1.59e+12
## 24 2.25e+10 5.99e+12 1.69e+12
## 25 2.38e+10 6.35e+12 1.76e+12
## 26 2.44e+10 6.67e+12 1.80e+12
## 27 2.39e+10 6.65e+12 1.78e+12
## 28 2.64e+10 7.38e+12 1.99e+12
## 29 NA 7.68e+12 2.07e+12
## 30 NA 7.98e+12 2.12e+12
## 31 NA NA NA
## Ecuador Egypt..Arab.Rep. Emerging.Market.and.Developing.Economies..EMDEs.
## 1 NA NA NA
## 2 NA NA NA
## 3 NA NA NA
## 4 NA NA NA
## 5 NA NA 3.08e+12
## 6 NA NA 3.19e+12
## 7 1.61e+10 NA 3.48e+12
## 8 1.67e+10 NA 3.58e+12
## 9 1.68e+10 NA 3.77e+12
## 10 1.71e+10 NA 4.06e+12
## 11 1.80e+10 NA 4.46e+12
## 12 1.96e+10 NA 4.82e+12
## 13 2.13e+10 NA 5.26e+12
## 14 2.35e+10 NA 5.81e+12
## 15 2.45e+10 NA 6.16e+12
## 16 2.41e+10 NA 6.17e+12
## 17 2.60e+10 8.32e+10 6.88e+12
## 18 2.74e+10 7.93e+10 7.46e+12
## 19 2.88e+10 8.27e+10 7.92e+12
## 20 3.01e+10 7.93e+10 8.36e+12
## 21 3.06e+10 8.13e+10 8.81e+12
## 22 2.96e+10 8.16e+10 9.15e+12
## 23 2.94e+10 8.17e+10 9.52e+12
## 24 2.66e+10 8.61e+10 1.00e+13
## 25 2.80e+10 8.74e+10 1.05e+13
## 26 3.00e+10 8.87e+10 1.09e+13
## 27 NA 7.87e+10 1.07e+13
## 28 NA 8.70e+10 1.18e+13
## 29 NA 9.28e+10 1.23e+13
## 30 NA 9.30e+10 1.27e+13
## 31 NA NA NA
## Spain Estonia Finland France United.Kingdom Greece Guatemala
## 1 NA NA NA NA NA NA NA
## 2 3.52e+11 NA 5.25e+10 3.42e+11 4.09e+11 2.53e+10 NA
## 3 3.49e+11 NA 5.33e+10 3.45e+11 4.15e+11 2.56e+10 NA
## 4 3.73e+11 NA 5.68e+10 3.60e+11 4.33e+11 2.56e+10 NA
## 5 3.93e+11 3.13e+09 6.01e+10 3.75e+11 4.50e+11 2.79e+10 NA
## 6 4.04e+11 3.02e+09 6.23e+10 3.85e+11 4.72e+11 2.85e+10 NA
## 7 4.20e+11 3.46e+09 6.76e+10 4.01e+11 4.83e+11 3.09e+10 NA
## 8 4.15e+11 3.77e+09 6.76e+10 4.05e+11 5.04e+11 2.98e+10 9.01e+09
## 9 4.15e+11 4.08e+09 6.85e+10 4.01e+11 5.12e+11 2.99e+10 9.11e+09
## 10 4.21e+11 4.53e+09 6.85e+10 3.97e+11 5.26e+11 3.01e+10 9.34e+09
## 11 4.29e+11 5.00e+09 7.22e+10 4.06e+11 5.26e+11 3.02e+10 9.79e+09
## 12 4.30e+11 5.55e+09 7.15e+10 4.06e+11 5.21e+11 2.98e+10 1.00e+10
## 13 4.45e+11 6.10e+09 7.87e+10 4.09e+11 5.43e+11 3.00e+10 1.04e+10
## 14 4.56e+11 6.49e+09 8.23e+10 4.13e+11 5.34e+11 3.07e+10 1.07e+10
## 15 4.24e+11 6.16e+09 8.33e+10 4.02e+11 5.21e+11 2.94e+10 1.10e+10
## 16 3.55e+11 4.68e+09 6.83e+10 3.52e+11 4.84e+11 2.66e+10 1.09e+10
## 17 3.58e+11 5.78e+09 7.21e+10 3.69e+11 4.72e+11 2.49e+10 1.12e+10
## 18 3.51e+11 6.94e+09 7.34e+10 3.78e+11 4.50e+11 2.35e+10 1.16e+10
## 19 3.29e+11 7.01e+09 7.18e+10 3.68e+11 4.52e+11 2.30e+10 1.19e+10
## 20 3.23e+11 7.30e+09 6.95e+10 3.67e+11 4.61e+11 2.23e+10 1.24e+10
## 21 3.28e+11 7.58e+09 6.83e+10 3.63e+11 4.71e+11 2.18e+10 1.27e+10
## 22 3.39e+11 7.61e+09 6.77e+10 3.69e+11 4.93e+11 2.20e+10 1.32e+10
## 23 3.44e+11 7.86e+09 7.05e+10 3.71e+11 4.93e+11 2.26e+10 1.37e+10
## 24 3.54e+11 8.18e+09 7.27e+10 3.79e+11 4.95e+11 2.36e+10 NA
## 25 3.56e+11 8.57e+09 7.53e+10 3.82e+11 5.10e+11 2.40e+10 NA
## 26 3.59e+11 9.17e+09 7.65e+10 3.83e+11 5.19e+11 2.38e+10 NA
## 27 3.26e+11 8.89e+09 7.42e+10 3.43e+11 5.31e+11 2.33e+10 NA
## 28 3.49e+11 1.01e+10 7.72e+10 3.62e+11 5.10e+11 2.57e+10 NA
## 29 3.58e+11 1.03e+10 8.00e+10 3.61e+11 4.93e+11 2.64e+10 NA
## 30 3.53e+11 8.99e+09 7.83e+10 3.62e+11 4.91e+11 2.70e+10 NA
## 31 NA NA NA NA NA NA NA
## High.Income.Countries Honduras Croatia Hungary Indonesia India Ireland
## 1 NA NA NA NA NA NA NA
## 2 8.49e+12 NA 9.75e+09 1.62e+10 2.65e+11 1.77e+11 2.38e+10
## 3 8.68e+12 NA 1.00e+10 1.68e+10 2.67e+11 1.93e+11 2.57e+10
## 4 9.07e+12 NA 1.07e+10 1.86e+10 2.81e+11 2.04e+11 3.02e+10
## 5 9.21e+12 NA 1.16e+10 2.09e+10 2.30e+11 2.13e+11 3.61e+10
## 6 9.50e+12 NA 1.14e+10 2.31e+10 2.34e+11 2.25e+11 4.15e+10
## 7 1.00e+13 3.18e+09 1.16e+10 2.73e+10 2.49e+11 2.39e+11 4.74e+10
## 8 9.82e+12 3.29e+09 1.23e+10 2.83e+10 2.59e+11 2.46e+11 5.26e+10
## 9 9.84e+12 3.48e+09 1.29e+10 2.91e+10 2.68e+11 2.58e+11 5.69e+10
## 10 1.00e+13 3.70e+09 1.33e+10 3.13e+10 2.82e+11 2.74e+11 6.02e+10
## 11 1.04e+13 3.91e+09 1.38e+10 3.32e+10 2.92e+11 3.04e+11 6.09e+10
## 12 1.06e+13 4.05e+09 1.44e+10 3.55e+10 2.95e+11 3.32e+11 6.33e+10
## 13 1.10e+13 4.14e+09 1.50e+10 3.98e+10 2.91e+11 3.73e+11 6.53e+10
## 14 1.14e+13 4.26e+09 1.57e+10 4.29e+10 3.07e+11 4.31e+11 6.87e+10
## 15 1.12e+13 4.36e+09 1.59e+10 4.29e+10 3.16e+11 4.64e+11 6.72e+10
## 16 9.66e+12 4.00e+09 1.44e+10 3.42e+10 3.20e+11 4.65e+11 6.42e+10
## 17 1.04e+13 4.52e+09 1.42e+10 3.77e+10 3.34e+11 5.10e+11 6.97e+10
## 18 1.06e+13 5.00e+09 1.41e+10 3.99e+10 3.48e+11 5.35e+11 6.93e+10
## 19 1.07e+13 5.18e+09 1.33e+10 3.91e+10 3.62e+11 5.39e+11 6.83e+10
## 20 1.07e+13 5.19e+09 1.30e+10 3.96e+10 3.84e+11 5.49e+11 6.68e+10
## 21 1.09e+13 5.29e+09 1.32e+10 4.28e+10 4.02e+11 5.74e+11 8.08e+10
## 22 1.10e+13 5.48e+09 1.36e+10 4.59e+10 4.22e+11 5.88e+11 1.11e+11
## 23 1.10e+13 5.63e+09 1.43e+10 4.64e+10 4.39e+11 6.19e+11 1.16e+11
## 24 1.13e+13 5.86e+09 1.45e+10 4.85e+10 4.59e+11 6.41e+11 1.13e+11
## 25 1.15e+13 6.11e+09 1.43e+10 5.02e+10 4.78e+11 6.74e+11 1.08e+11
## 26 1.15e+13 6.23e+09 1.44e+10 5.30e+10 4.97e+11 6.78e+11 1.15e+11
## 27 1.08e+13 5.28e+09 1.40e+10 4.98e+10 4.47e+11 6.04e+11 1.32e+11
## 28 1.14e+13 6.40e+09 1.49e+10 5.46e+10 4.80e+11 6.81e+11 1.69e+11
## 29 1.16e+13 NA 1.51e+10 5.79e+10 5.00e+11 7.12e+11 2.01e+11
## 30 1.15e+13 NA 1.50e+10 5.48e+10 5.12e+11 7.53e+11 NA
## 31 NA NA NA NA NA NA NA
## Iceland Israel Italy Jordan Japan Kazakhstan Korea..Rep.
## 1 NA NA NA NA NA NA NA
## 2 NA 2.67e+10 5.85e+11 NA 1.83e+12 NA 1.43e+11
## 3 NA 2.81e+10 5.80e+11 NA 1.87e+12 NA 1.55e+11
## 4 NA 2.86e+10 5.99e+11 NA 1.94e+12 NA 1.62e+11
## 5 2.10e+09 2.94e+10 6.10e+11 NA 1.81e+12 NA 1.52e+11
## 6 2.18e+09 2.98e+10 6.11e+11 NA 1.81e+12 2.07e+10 1.89e+11
## 7 2.32e+09 3.28e+10 6.30e+11 NA 1.91e+12 2.59e+10 2.21e+11
## 8 2.73e+09 3.12e+10 6.25e+11 NA 1.78e+12 3.16e+10 2.23e+11
## 9 2.86e+09 3.06e+10 6.17e+11 6.27e+09 1.76e+12 3.62e+10 2.41e+11
## 10 2.77e+09 3.05e+10 6.10e+11 5.74e+09 1.82e+12 3.93e+10 2.54e+11
## 11 3.02e+09 3.26e+10 6.16e+11 6.43e+09 1.90e+12 4.48e+10 2.80e+11
## 12 3.39e+09 3.43e+10 6.05e+11 7.09e+09 1.93e+12 4.94e+10 2.98e+11
## 13 3.96e+09 3.74e+10 6.24e+11 7.50e+09 2.02e+12 5.30e+10 3.23e+11
## 14 3.99e+09 3.94e+10 6.40e+11 7.74e+09 2.07e+12 5.84e+10 3.45e+11
## 15 5.40e+09 4.22e+10 6.19e+11 7.84e+09 2.00e+12 6.12e+10 3.57e+11
## 16 5.60e+09 3.97e+10 5.03e+11 7.72e+09 1.58e+12 6.29e+10 3.57e+11
## 17 6.32e+09 4.29e+10 5.38e+11 7.47e+09 1.81e+12 6.88e+10 4.15e+11
## 18 7.09e+09 4.38e+10 5.40e+11 7.45e+09 1.76e+12 7.11e+10 4.39e+11
## 19 7.41e+09 4.59e+10 5.08e+11 7.46e+09 1.77e+12 7.15e+10 4.45e+11
## 20 7.11e+09 4.54e+10 4.92e+11 7.58e+09 1.75e+12 7.24e+10 4.49e+11
## 21 7.19e+09 4.57e+10 4.87e+11 7.71e+09 1.78e+12 7.25e+10 4.49e+11
## 22 7.86e+09 4.68e+10 4.96e+11 8.08e+09 1.75e+12 7.13e+10 4.48e+11
## 23 7.16e+09 4.67e+10 5.03e+11 7.67e+09 1.76e+12 6.96e+10 4.58e+11
## 24 7.22e+09 4.75e+10 5.18e+11 7.65e+09 1.81e+12 7.54e+10 4.70e+11
## 25 NA 4.87e+10 5.27e+11 7.14e+09 1.82e+12 7.77e+10 4.77e+11
## 26 NA 5.06e+10 5.21e+11 6.76e+09 1.78e+12 7.92e+10 4.78e+11
## 27 NA 5.18e+10 4.64e+11 5.96e+09 1.60e+12 8.02e+10 4.77e+11
## 28 NA 5.37e+10 5.20e+11 6.16e+09 1.68e+12 7.89e+10 5.18e+11
## 29 NA 5.95e+10 5.18e+11 6.16e+09 1.68e+12 7.98e+10 5.23e+11
## 30 NA 5.88e+10 5.05e+11 6.19e+09 1.66e+12 8.33e+10 5.09e+11
## 31 NA NA NA NA NA NA NA
## EMDE.Latin.America...Caribbean Low.Income.Countries..LIC. Sri.Lanka
## 1 NA NA NA
## 2 8.83e+11 NA NA
## 3 9.15e+11 NA NA
## 4 9.71e+11 NA NA
## 5 9.92e+11 NA NA
## 6 9.86e+11 NA NA
## 7 1.06e+12 NA NA
## 8 1.06e+12 NA NA
## 9 1.06e+12 NA NA
## 10 1.07e+12 NA NA
## 11 1.13e+12 NA NA
## 12 1.17e+12 NA NA
## 13 1.22e+12 6.76e+09 NA
## 14 1.27e+12 7.59e+09 NA
## 15 1.29e+12 8.17e+09 NA
## 16 1.19e+12 9.08e+09 NA
## 17 1.29e+12 9.43e+09 1.82e+10
## 18 1.32e+12 9.91e+09 1.95e+10
## 19 1.33e+12 9.93e+09 1.98e+10
## 20 1.35e+12 1.01e+10 1.97e+10
## 21 1.35e+12 1.12e+10 2.09e+10
## 22 1.32e+12 1.06e+10 2.28e+10
## 23 1.30e+12 1.14e+10 2.35e+10
## 24 1.32e+12 1.24e+10 2.41e+10
## 25 1.34e+12 1.34e+10 2.43e+10
## 26 1.34e+12 1.36e+10 2.46e+10
## 27 1.26e+12 NA 2.21e+10
## 28 1.34e+12 NA 2.38e+10
## 29 1.38e+12 NA 2.09e+10
## 30 1.38e+12 NA 2.01e+10
## 31 NA NA NA
## Lithuania Luxembourg Latvia Moldova..Rep. Mexico
## 1 NA NA NA NA NA
## 2 NA 5.14e+09 NA NA 2.70e+11
## 3 5.44e+09 5.14e+09 NA NA 2.93e+11
## 4 5.82e+09 5.44e+09 NA NA 3.25e+11
## 5 7.11e+09 5.44e+09 NA NA 3.56e+11
## 6 6.19e+09 6.06e+09 3.73e+09 NA 3.63e+11
## 7 6.13e+09 5.87e+09 3.96e+09 NA 3.90e+11
## 8 6.91e+09 6.17e+09 4.38e+09 NA 3.82e+11
## 9 7.29e+09 6.47e+09 4.68e+09 NA 3.70e+11
## 10 8.39e+09 6.81e+09 5.05e+09 NA 3.69e+11
## 11 9.37e+09 7.19e+09 5.41e+09 NA 3.79e+11
## 12 1.00e+10 7.35e+09 5.79e+09 NA 3.87e+11
## 13 1.05e+10 7.51e+09 6.17e+09 NA 4.07e+11
## 14 1.08e+10 7.50e+09 6.24e+09 NA 4.08e+11
## 15 1.13e+10 7.12e+09 6.04e+09 NA 4.02e+11
## 16 9.70e+09 5.98e+09 4.94e+09 NA 3.60e+11
## 17 1.03e+10 6.51e+09 5.68e+09 1.75e+09 3.87e+11
## 18 1.09e+10 6.62e+09 6.19e+09 1.98e+09 4.00e+11
## 19 1.13e+10 6.26e+09 6.57e+09 1.94e+09 4.19e+11
## 20 1.16e+10 6.01e+09 6.51e+09 2.10e+09 4.17e+11
## 21 1.15e+10 6.37e+09 6.44e+09 2.26e+09 4.34e+11
## 22 1.20e+10 6.30e+09 6.67e+09 2.27e+09 4.49e+11
## 23 1.23e+10 6.33e+09 7.03e+09 2.29e+09 4.53e+11
## 24 1.31e+10 6.44e+09 7.62e+09 2.37e+09 4.64e+11
## 25 1.38e+10 6.45e+09 7.73e+09 2.46e+09 4.70e+11
## 26 1.43e+10 6.23e+09 7.81e+09 2.51e+09 4.70e+11
## 27 1.43e+10 5.59e+09 7.69e+09 2.37e+09 4.32e+11
## 28 1.72e+10 6.04e+09 8.21e+09 2.66e+09 4.69e+11
## 29 1.88e+10 5.94e+09 8.28e+09 2.53e+09 4.96e+11
## 30 1.76e+10 5.58e+09 7.81e+09 2.44e+09 5.00e+11
## 31 NA NA NA NA NA
## Middle.Income.Countries..MIC. North.Macedonia Malta Montenegro Mongolia
## 1 NA NA NA NA NA
## 2 NA NA NA NA NA
## 3 NA NA NA NA NA
## 4 NA NA NA NA NA
## 5 2.57e+12 NA NA NA NA
## 6 2.64e+12 NA NA NA NA
## 7 2.87e+12 2.41e+09 1920000000 769000000 NA
## 8 2.96e+12 2.34e+09 1800000000 763000000 NA
## 9 3.13e+12 2.22e+09 1810000000 768000000 NA
## 10 3.37e+12 2.32e+09 1890000000 788000000 NA
## 11 3.70e+12 2.27e+09 1880000000 902000000 NA
## 12 4.04e+12 2.43e+09 1770000000 881000000 NA
## 13 4.41e+12 2.57e+09 1900000000 876000000 NA
## 14 4.91e+12 2.67e+09 2040000000 877000000 1.65e+09
## 15 5.24e+12 2.81e+09 1960000000 860000000 1.64e+09
## 16 5.33e+12 2.56e+09 1670000000 583000000 1.61e+09
## 17 5.99e+12 2.44e+09 1820000000 686000000 3.60e+09
## 18 6.52e+12 2.61e+09 1820000000 616000000 2.23e+09
## 19 6.96e+12 2.54e+09 1920000000 573000000 2.51e+09
## 20 7.37e+12 2.62e+09 1820000000 633000000 2.68e+09
## 21 7.79e+12 2.74e+09 1710000000 562000000 2.74e+09
## 22 8.09e+12 2.88e+09 1710000000 607000000 3.29e+09
## 23 8.44e+12 2.98e+09 1580000000 591000000 4.27e+09
## 24 8.90e+12 2.98e+09 1690000000 566000000 5.06e+09
## 25 9.36e+12 3.14e+09 1750000000 693000000 5.69e+09
## 26 9.70e+12 3.26e+09 1810000000 649000000 6.80e+09
## 27 9.50e+12 2.95e+09 1820000000 643000000 4.61e+09
## 28 1.06e+13 2.99e+09 1810000000 675000000 5.99e+09
## 29 1.10e+13 2.98e+09 1830000000 653000000 6.12e+09
## 30 1.14e+13 3.00e+09 1960000000 694000000 1.09e+10
## 31 NA NA NA NA NA
## EMDE.Middle.East...N..Africa Malawi Malaysia Nicaragua Netherlands
## 1 NA NA NA NA NA
## 2 NA 1.62e+09 5.07e+10 1.04e+09 1.26e+11
## 3 NA 1.68e+09 5.63e+10 1.09e+09 1.29e+11
## 4 NA 1.65e+09 6.24e+10 1.15e+09 1.28e+11
## 5 NA 1.61e+09 5.78e+10 1.16e+09 1.30e+11
## 6 NA 1.43e+09 6.31e+10 1.26e+09 1.34e+11
## 7 NA 1.46e+09 7.52e+10 1.30e+09 1.52e+11
## 8 NA 1.32e+09 7.21e+10 1.36e+09 1.54e+11
## 9 NA 1.33e+09 7.54e+10 1.40e+09 1.55e+11
## 10 NA 1.29e+09 8.24e+10 1.44e+09 1.53e+11
## 11 NA 1.40e+09 9.21e+10 1.53e+09 1.60e+11
## 12 NA 1.36e+09 9.54e+10 1.55e+09 1.61e+11
## 13 NA 1.40e+09 1.00e+11 1.63e+09 1.64e+11
## 14 NA 1.57e+09 1.02e+11 1.72e+09 1.71e+11
## 15 NA 1.69e+09 1.03e+11 1.68e+09 1.72e+11
## 16 NA 1.90e+09 9.53e+10 1.70e+09 1.60e+11
## 17 NA 1.94e+09 1.02e+11 1.83e+09 1.72e+11
## 18 9.94e+10 2.18e+09 1.05e+11 1.95e+09 1.71e+11
## 19 1.03e+11 1.92e+09 1.09e+11 2.00e+09 1.70e+11
## 20 1.00e+11 1.85e+09 1.13e+11 2.00e+09 1.71e+11
## 21 1.02e+11 2.07e+09 1.19e+11 2.18e+09 1.66e+11
## 22 1.02e+11 1.46e+09 1.21e+11 2.20e+09 1.60e+11
## 23 1.02e+11 NA 1.26e+11 2.29e+09 1.63e+11
## 24 1.06e+11 NA 1.32e+11 NA 1.64e+11
## 25 1.07e+11 NA 1.36e+11 NA 1.67e+11
## 26 1.08e+11 NA 1.40e+11 NA 1.65e+11
## 27 9.61e+10 NA 1.34e+11 NA 1.59e+11
## 28 1.06e+11 NA 1.44e+11 NA 1.66e+11
## 29 1.12e+11 NA 1.54e+11 NA 1.71e+11
## 30 1.12e+11 NA 1.55e+11 NA 1.69e+11
## 31 NA NA NA NA NA
## Norway Pakistan Peru Philippines Poland Portugal Paraguay Romania
## 1 NA NA NA NA NA NA NA NA
## 2 1.45e+11 NA 3.01e+10 8.70e+10 8.24e+10 4.57e+10 NA 7.49e+10
## 3 1.53e+11 NA 3.10e+10 9.05e+10 9.01e+10 4.81e+10 NA 7.91e+10
## 4 1.58e+11 NA 3.28e+10 9.52e+10 7.81e+10 4.93e+10 NA 7.39e+10
## 5 1.57e+11 1.57e+10 3.16e+10 8.42e+10 8.18e+10 5.21e+10 NA 6.13e+10
## 6 1.56e+11 1.66e+10 3.15e+10 8.51e+10 8.56e+10 5.37e+10 NA 5.66e+10
## 7 1.61e+11 2.15e+10 3.40e+10 8.71e+10 9.21e+10 5.35e+10 NA 6.04e+10
## 8 1.60e+11 2.28e+10 3.37e+10 8.48e+10 9.24e+10 5.46e+10 NA 6.27e+10
## 9 1.59e+11 2.32e+10 3.58e+10 8.52e+10 9.37e+10 5.48e+10 NA 6.25e+10
## 10 1.55e+11 2.58e+10 3.60e+10 8.40e+10 1.02e+11 5.42e+10 NA 6.20e+10
## 11 1.54e+11 2.80e+10 4.01e+10 8.19e+10 1.15e+11 5.38e+10 NA 6.37e+10
## 12 1.54e+11 3.22e+10 4.30e+10 8.27e+10 1.20e+11 6.03e+10 8.19e+09 6.16e+10
## 13 1.51e+11 3.56e+10 4.59e+10 7.72e+10 1.34e+11 5.97e+10 8.57e+09 6.74e+10
## 14 1.49e+11 3.79e+10 5.03e+10 7.37e+10 1.47e+11 5.88e+10 9.08e+09 7.43e+10
## 15 1.50e+11 3.79e+10 5.48e+10 7.39e+10 1.51e+11 5.50e+10 9.59e+09 7.63e+10
## 16 1.44e+11 3.65e+10 5.10e+10 6.51e+10 1.45e+11 4.78e+10 9.27e+09 7.21e+10
## 17 1.36e+11 3.65e+10 5.82e+10 8.02e+10 1.61e+11 4.80e+10 1.05e+10 7.60e+10
## 18 1.29e+11 3.74e+10 6.15e+10 8.11e+10 1.72e+11 4.71e+10 1.09e+10 8.17e+10
## 19 1.31e+11 3.81e+10 6.09e+10 8.73e+10 1.74e+11 4.47e+10 1.09e+10 8.37e+10
## 20 1.28e+11 4.08e+10 6.39e+10 9.01e+10 1.78e+11 4.53e+10 1.26e+10 9.02e+10
## 21 1.31e+11 4.20e+10 6.16e+10 1.07e+11 1.84e+11 4.59e+10 1.32e+10 9.57e+10
## 22 1.33e+11 4.37e+10 6.06e+10 9.71e+10 1.93e+11 4.69e+10 1.34e+10 9.84e+10
## 23 1.31e+11 4.44e+10 5.98e+10 1.10e+11 1.98e+11 4.76e+10 1.40e+10 1.01e+11
## 24 1.31e+11 4.67e+10 5.98e+10 1.22e+11 2.11e+11 4.86e+10 1.47e+10 1.09e+11
## 25 1.28e+11 4.85e+10 6.32e+10 1.31e+11 2.24e+11 4.89e+10 1.52e+10 1.13e+11
## 26 1.23e+11 4.94e+10 6.20e+10 1.20e+11 2.33e+11 4.78e+10 1.53e+10 1.11e+11
## 27 1.32e+11 4.46e+10 5.42e+10 7.11e+10 2.31e+11 4.40e+10 1.52e+10 1.00e+11
## 28 1.34e+11 5.11e+10 6.47e+10 1.09e+11 2.64e+11 4.57e+10 1.59e+10 1.08e+11
## 29 1.34e+11 5.46e+10 6.51e+10 1.25e+11 2.91e+11 4.58e+10 NA 1.08e+11
## 30 1.34e+11 4.92e+10 6.09e+10 1.31e+11 2.85e+11 4.43e+10 NA 1.05e+11
## 31 NA NA NA NA NA NA NA NA
## Russian.Federation EMDE.South.Asia Singapore El.Salvador Serbia
## 1 NA NA NA NA NA
## 2 2.99e+11 2.02e+11 2.94e+10 3.20e+09 1.12e+10
## 3 2.83e+11 2.21e+11 3.03e+10 3.20e+09 1.17e+10
## 4 2.89e+11 2.34e+11 3.17e+10 3.38e+09 1.38e+10
## 5 2.74e+11 2.48e+11 3.16e+10 3.70e+09 1.43e+10
## 6 3.05e+11 2.62e+11 3.60e+10 3.92e+09 1.06e+10
## 7 3.50e+11 2.82e+11 4.15e+10 3.93e+09 1.19e+10
## 8 3.60e+11 2.91e+11 3.67e+10 4.06e+09 1.19e+10
## 9 3.71e+11 3.05e+11 3.98e+10 4.17e+09 1.21e+10
## 10 4.06e+11 3.26e+11 4.10e+10 4.03e+09 1.18e+10
## 11 4.39e+11 3.60e+11 4.66e+10 4.11e+09 1.25e+10
## 12 4.62e+11 3.95e+11 5.11e+10 4.32e+09 1.26e+10
## 13 4.91e+11 4.42e+11 5.72e+10 4.44e+09 1.31e+10
## 14 5.25e+11 5.06e+11 6.06e+10 4.63e+09 1.37e+10
## 15 5.28e+11 5.42e+11 5.80e+10 4.66e+09 1.39e+10
## 16 4.79e+11 5.44e+11 5.56e+10 4.54e+09 1.21e+10
## 17 5.02e+11 5.95e+11 7.21e+10 4.63e+09 1.23e+10
## 18 5.28e+11 6.27e+11 7.77e+10 4.85e+09 1.26e+10
## 19 5.46e+11 6.35e+11 7.80e+10 4.92e+09 1.23e+10
## 20 5.56e+11 6.51e+11 7.93e+10 4.92e+09 1.30e+10
## 21 5.69e+11 6.81e+11 8.14e+10 5.06e+09 1.20e+10
## 22 5.99e+11 7.06e+11 7.72e+10 5.17e+09 1.29e+10
## 23 6.11e+11 7.43e+11 8.01e+10 5.19e+09 1.36e+10
## 24 6.33e+11 7.77e+11 8.84e+10 5.29e+09 1.41e+10
## 25 6.56e+11 8.21e+11 9.47e+10 5.39e+09 1.43e+10
## 26 6.78e+11 8.33e+11 9.33e+10 NA 1.43e+10
## 27 6.64e+11 7.52e+11 1.00e+11 NA 1.42e+10
## 28 7.06e+11 8.49e+11 1.14e+11 NA 1.52e+10
## 29 7.11e+11 8.79e+11 1.17e+11 NA 1.55e+10
## 30 7.40e+11 9.19e+11 1.12e+11 NA 1.59e+10
## 31 NA NA NA NA NA
## EMDE.Sub.Saharan.Africa Slovakia Slovenia Sweden Thailand Tunisia
## 1 NA NA NA NA NA NA
## 2 1.14e+11 1.49e+10 1.01e+10 1.10e+11 NA 8.96e+09
## 3 1.18e+11 1.53e+10 1.02e+10 1.12e+11 NA 9.17e+09
## 4 1.21e+11 1.55e+10 1.03e+10 1.21e+11 NA 9.56e+09
## 5 1.17e+11 1.63e+10 1.19e+10 1.26e+11 NA 1.02e+10
## 6 1.16e+11 1.60e+10 1.19e+10 1.30e+11 NA 1.08e+10
## 7 1.21e+11 1.63e+10 1.26e+10 1.32e+11 7.42e+10 1.11e+10
## 8 1.23e+11 1.69e+10 1.30e+10 1.31e+11 7.42e+10 1.15e+10
## 9 1.29e+11 1.82e+10 1.33e+10 1.31e+11 8.15e+10 1.15e+10
## 10 1.26e+11 2.09e+10 1.35e+10 1.33e+11 9.22e+10 1.13e+10
## 11 1.31e+11 2.17e+10 1.41e+10 1.40e+11 1.03e+11 1.17e+10
## 12 1.34e+11 2.19e+10 1.46e+10 1.44e+11 1.13e+11 1.17e+10
## 13 1.40e+11 2.53e+10 1.54e+10 1.48e+11 1.20e+11 1.21e+10
## 14 1.47e+11 2.96e+10 1.66e+10 1.53e+11 1.30e+11 1.33e+10
## 15 1.47e+11 3.30e+10 1.70e+10 1.49e+11 1.36e+11 1.34e+10
## 16 1.28e+11 2.75e+10 1.40e+10 1.23e+11 1.26e+11 1.29e+10
## 17 1.34e+11 3.19e+10 1.50e+10 1.35e+11 1.44e+11 1.35e+10
## 18 1.38e+11 3.33e+10 1.52e+10 1.38e+11 1.38e+11 1.27e+10
## 19 1.41e+11 3.60e+10 1.50e+10 1.35e+11 1.52e+11 1.31e+10
## 20 1.43e+11 3.59e+10 1.49e+10 1.29e+11 1.55e+11 1.32e+10
## 21 1.44e+11 3.71e+10 1.52e+10 1.27e+11 1.49e+11 1.31e+10
## 22 1.44e+11 3.90e+10 1.61e+10 1.31e+11 1.49e+11 1.27e+10
## 23 1.45e+11 3.99e+10 1.72e+10 1.33e+11 1.51e+11 1.26e+10
## 24 1.45e+11 4.06e+10 1.85e+10 1.39e+11 1.54e+11 1.25e+10
## 25 1.47e+11 4.02e+10 1.94e+10 1.42e+11 1.59e+11 1.24e+10
## 26 1.46e+11 3.77e+10 2.00e+10 1.46e+11 1.54e+11 1.20e+10
## 27 1.30e+11 3.43e+10 1.90e+10 1.39e+11 1.39e+11 1.14e+10
## 28 1.37e+11 3.80e+10 2.09e+10 1.50e+11 1.51e+11 1.26e+10
## 29 1.36e+11 3.63e+10 2.12e+10 1.53e+11 1.53e+11 1.29e+10
## 30 1.37e+11 3.77e+10 2.00e+10 1.52e+11 1.47e+11 1.26e+10
## 31 NA NA NA NA NA NA
## Turkey Uganda Ukraine Uruguay United.States Uzbekistan Viet.Nam
## 1 NA NA NA NA NA NA NA
## 2 1.22e+11 NA NA NA 2.35e+12 NA NA
## 3 1.29e+11 NA NA NA 2.46e+12 NA NA
## 4 1.42e+11 NA NA NA 2.63e+12 NA NA
## 5 1.44e+11 NA NA NA 2.79e+12 NA NA
## 6 1.38e+11 NA NA NA 2.91e+12 NA NA
## 7 1.47e+11 NA NA NA 3.02e+12 NA NA
## 8 1.34e+11 NA NA NA 2.93e+12 NA NA
## 9 1.47e+11 NA 3.23e+10 6.47e+09 2.94e+12 NA NA
## 10 1.59e+11 NA 3.75e+10 6.95e+09 2.98e+12 NA NA
## 11 1.75e+11 NA 4.19e+10 8.29e+09 3.06e+12 NA NA
## 12 2.00e+11 5.21e+09 4.31e+10 8.93e+09 3.16e+12 NA NA
## 13 2.14e+11 5.36e+09 4.55e+10 9.40e+09 3.23e+12 NA NA
## 14 2.29e+11 6.01e+09 4.88e+10 9.95e+09 3.32e+12 NA NA
## 15 2.28e+11 6.48e+09 4.63e+10 1.12e+10 3.20e+12 NA 3.92e+10
## 16 2.05e+11 7.18e+09 3.68e+10 1.07e+10 2.84e+12 NA 4.19e+10
## 17 2.32e+11 7.49e+09 4.12e+10 1.11e+10 2.99e+12 1.10e+10 4.65e+10
## 18 2.68e+11 7.73e+09 4.45e+10 1.11e+10 3.09e+12 1.15e+10 4.97e+10
## 19 2.80e+11 8.01e+09 4.42e+10 1.18e+10 3.18e+12 1.22e+10 5.17e+10
## 20 2.98e+11 8.24e+09 4.23e+10 1.23e+10 3.25e+12 1.31e+10 3.54e+10
## 21 3.15e+11 9.10e+09 3.76e+10 1.24e+10 3.34e+12 1.37e+10 3.80e+10
## 22 3.35e+11 9.18e+09 3.30e+10 1.28e+10 3.30e+12 1.44e+10 4.25e+10
## 23 3.46e+11 9.66e+09 3.43e+10 1.28e+10 3.22e+12 1.52e+10 4.95e+10
## 24 3.77e+11 1.03e+10 3.47e+10 1.14e+10 3.27e+12 1.60e+10 3.49e+10
## 25 3.82e+11 1.11e+10 3.57e+10 1.26e+10 3.37e+12 1.77e+10 3.87e+10
## 26 3.79e+11 1.12e+10 3.55e+10 1.24e+10 3.35e+12 1.89e+10 4.13e+10
## 27 3.88e+11 NA 3.39e+10 1.18e+10 3.11e+12 1.89e+10 4.24e+10
## 28 4.51e+11 NA 3.46e+10 1.32e+10 3.24e+12 2.04e+10 4.33e+10
## 29 4.74e+11 NA 2.19e+10 1.37e+10 3.36e+12 2.14e+10 5.00e+10
## 30 4.82e+11 NA 2.34e+10 1.38e+10 3.36e+12 NA 4.43e+10
## 31 NA NA NA NA NA NA NA
## World..WBG.members. South.Africa
## 1 NA NA
## 2 1.09e+13 1.08e+11
## 3 1.12e+13 1.12e+11
## 4 1.17e+13 1.14e+11
## 5 1.19e+13 1.11e+11
## 6 1.22e+13 1.10e+11
## 7 1.30e+13 1.14e+11
## 8 1.29e+13 1.17e+11
## 9 1.30e+13 1.22e+11
## 10 1.35e+13 1.19e+11
## 11 1.42e+13 1.24e+11
## 12 1.47e+13 1.28e+11
## 13 1.55e+13 1.33e+11
## 14 1.63e+13 1.39e+11
## 15 1.64e+13 1.39e+11
## 16 1.50e+13 1.19e+11
## 17 1.64e+13 1.25e+11
## 18 1.71e+13 1.28e+11
## 19 1.76e+13 1.31e+11
## 20 1.81e+13 1.33e+11
## 21 1.87e+13 1.33e+11
## 22 1.91e+13 1.33e+11
## 23 1.95e+13 1.34e+11
## 24 2.02e+13 1.33e+11
## 25 2.09e+13 1.34e+11
## 26 2.12e+13 1.33e+11
## 27 2.03e+13 1.17e+11
## 28 2.20e+13 1.24e+11
## 29 2.26e+13 1.23e+11
## 30 2.29e+13 1.24e+11
## 31 NA NAglimpse(Industrial_dataset)## Rows: 31
## Columns: 92
## $ X <int> NA, 1995, 1996, 1997,…
## $ Advanced.Economies <dbl> NA, 7.95e+12, 8.14e+1…
## $ Austria <dbl> NA, 7.53e+10, 7.44e+1…
## $ Belgium <dbl> NA, 6.68e+10, 6.71e+1…
## $ Bangladesh <dbl> NA, NA, NA, NA, NA, N…
## $ Bulgaria <dbl> NA, NA, NA, NA, NA, N…
## $ Bosnia.and.Herzegovina <dbl> NA, NA, NA, NA, NA, N…
## $ Belarus <dbl> NA, NA, NA, NA, NA, N…
## $ Brazil <dbl> NA, 3.91e+11, 3.98e+1…
## $ Barbados <int> NA, 479000000, 483000…
## $ Canada <dbl> NA, 1.90e+11, 1.92e+1…
## $ Chile <dbl> NA, 5.52e+10, 5.65e+1…
## $ China <dbl> NA, NA, NA, 5.54e+11,…
## $ Colombia <dbl> NA, 8.00e+10, 7.79e+1…
## $ Costa.Rica <dbl> NA, 4.96e+09, 4.96e+0…
## $ Cyprus <dbl> NA, 3.05e+09, 2.95e+0…
## $ Czech.Republic <dbl> NA, 5.05e+10, 5.15e+1…
## $ Germany <dbl> NA, 8.49e+11, 8.49e+1…
## $ Denmark <dbl> NA, 6.61e+10, 6.70e+1…
## $ Dominican.Republic <dbl> NA, NA, NA, NA, NA, N…
## $ EMDE.East.Asia...Pacific <dbl> NA, NA, NA, NA, 1.05e…
## $ EMDE.Europe...Central.Asia <dbl> NA, 6.82e+11, 6.85e+1…
## $ Ecuador <dbl> NA, NA, NA, NA, NA, N…
## $ Egypt..Arab.Rep. <dbl> NA, NA, NA, NA, NA, N…
## $ Emerging.Market.and.Developing.Economies..EMDEs. <dbl> NA, NA, NA, NA, 3.08e…
## $ Spain <dbl> NA, 3.52e+11, 3.49e+1…
## $ Estonia <dbl> NA, NA, NA, NA, 3.13e…
## $ Finland <dbl> NA, 5.25e+10, 5.33e+1…
## $ France <dbl> NA, 3.42e+11, 3.45e+1…
## $ United.Kingdom <dbl> NA, 4.09e+11, 4.15e+1…
## $ Greece <dbl> NA, 2.53e+10, 2.56e+1…
## $ Guatemala <dbl> NA, NA, NA, NA, NA, N…
## $ High.Income.Countries <dbl> NA, 8.49e+12, 8.68e+1…
## $ Honduras <dbl> NA, NA, NA, NA, NA, N…
## $ Croatia <dbl> NA, 9.75e+09, 1.00e+1…
## $ Hungary <dbl> NA, 1.62e+10, 1.68e+1…
## $ Indonesia <dbl> NA, 2.65e+11, 2.67e+1…
## $ India <dbl> NA, 1.77e+11, 1.93e+1…
## $ Ireland <dbl> NA, 2.38e+10, 2.57e+1…
## $ Iceland <dbl> NA, NA, NA, NA, 2.10e…
## $ Israel <dbl> NA, 2.67e+10, 2.81e+1…
## $ Italy <dbl> NA, 5.85e+11, 5.80e+1…
## $ Jordan <dbl> NA, NA, NA, NA, NA, N…
## $ Japan <dbl> NA, 1.83e+12, 1.87e+1…
## $ Kazakhstan <dbl> NA, NA, NA, NA, NA, 2…
## $ Korea..Rep. <dbl> NA, 1.43e+11, 1.55e+1…
## $ EMDE.Latin.America...Caribbean <dbl> NA, 8.83e+11, 9.15e+1…
## $ Low.Income.Countries..LIC. <dbl> NA, NA, NA, NA, NA, N…
## $ Sri.Lanka <dbl> NA, NA, NA, NA, NA, N…
## $ Lithuania <dbl> NA, NA, 5.44e+09, 5.8…
## $ Luxembourg <dbl> NA, 5.14e+09, 5.14e+0…
## $ Latvia <dbl> NA, NA, NA, NA, NA, 3…
## $ Moldova..Rep. <dbl> NA, NA, NA, NA, NA, N…
## $ Mexico <dbl> NA, 2.70e+11, 2.93e+1…
## $ Middle.Income.Countries..MIC. <dbl> NA, NA, NA, NA, 2.57e…
## $ North.Macedonia <dbl> NA, NA, NA, NA, NA, N…
## $ Malta <int> NA, NA, NA, NA, NA, N…
## $ Montenegro <int> NA, NA, NA, NA, NA, N…
## $ Mongolia <dbl> NA, NA, NA, NA, NA, N…
## $ EMDE.Middle.East...N..Africa <dbl> NA, NA, NA, NA, NA, N…
## $ Malawi <dbl> NA, 1.62e+09, 1.68e+0…
## $ Malaysia <dbl> NA, 5.07e+10, 5.63e+1…
## $ Nicaragua <dbl> NA, 1.04e+09, 1.09e+0…
## $ Netherlands <dbl> NA, 1.26e+11, 1.29e+1…
## $ Norway <dbl> NA, 1.45e+11, 1.53e+1…
## $ Pakistan <dbl> NA, NA, NA, NA, 1.57e…
## $ Peru <dbl> NA, 3.01e+10, 3.10e+1…
## $ Philippines <dbl> NA, 8.70e+10, 9.05e+1…
## $ Poland <dbl> NA, 8.24e+10, 9.01e+1…
## $ Portugal <dbl> NA, 4.57e+10, 4.81e+1…
## $ Paraguay <dbl> NA, NA, NA, NA, NA, N…
## $ Romania <dbl> NA, 7.49e+10, 7.91e+1…
## $ Russian.Federation <dbl> NA, 2.99e+11, 2.83e+1…
## $ EMDE.South.Asia <dbl> NA, 2.02e+11, 2.21e+1…
## $ Singapore <dbl> NA, 2.94e+10, 3.03e+1…
## $ El.Salvador <dbl> NA, 3.20e+09, 3.20e+0…
## $ Serbia <dbl> NA, 1.12e+10, 1.17e+1…
## $ EMDE.Sub.Saharan.Africa <dbl> NA, 1.14e+11, 1.18e+1…
## $ Slovakia <dbl> NA, 1.49e+10, 1.53e+1…
## $ Slovenia <dbl> NA, 1.01e+10, 1.02e+1…
## $ Sweden <dbl> NA, 1.10e+11, 1.12e+1…
## $ Thailand <dbl> NA, NA, NA, NA, NA, N…
## $ Tunisia <dbl> NA, 8.96e+09, 9.17e+0…
## $ Turkey <dbl> NA, 1.22e+11, 1.29e+1…
## $ Uganda <dbl> NA, NA, NA, NA, NA, N…
## $ Ukraine <dbl> NA, NA, NA, NA, NA, N…
## $ Uruguay <dbl> NA, NA, NA, NA, NA, N…
## $ United.States <dbl> NA, 2.35e+12, 2.46e+1…
## $ Uzbekistan <dbl> NA, NA, NA, NA, NA, N…
## $ Viet.Nam <dbl> NA, NA, NA, NA, NA, N…
## $ World..WBG.members. <dbl> NA, 1.09e+13, 1.12e+1…
## $ South.Africa <dbl> NA, 1.08e+11, 1.12e+1…colnames(Industrial_dataset[1:20])## [1] "X" "Advanced.Economies" "Austria"
## [4] "Belgium" "Bangladesh" "Bulgaria"
## [7] "Bosnia.and.Herzegovina" "Belarus" "Brazil"
## [10] "Barbados" "Canada" "Chile"
## [13] "China" "Colombia" "Costa.Rica"
## [16] "Cyprus" "Czech.Republic" "Germany"
## [19] "Denmark" "Dominican.Republic"Industrial_dataset<- rename(Industrial_dataset, "year" = X, "Advanced_Economies" = Advanced.Economies)
Industrial_dataset## year Advanced_Economies Austria Belgium Bangladesh Bulgaria
## 1 NA NA NA NA NA NA
## 2 1995 7.95e+12 7.53e+10 6.68e+10 NA NA
## 3 1996 8.14e+12 7.44e+10 6.71e+10 NA NA
## 4 1997 8.54e+12 7.92e+10 7.04e+10 NA NA
## 5 1998 8.69e+12 8.59e+10 7.25e+10 NA NA
## 6 1999 8.95e+12 9.13e+10 7.33e+10 NA NA
## 7 2000 9.40e+12 1.00e+11 8.25e+10 NA 9.75e+09
## 8 2001 9.20e+12 1.03e+11 8.61e+10 NA 9.95e+09
## 9 2002 9.21e+12 1.04e+11 8.65e+10 NA 1.04e+10
## 10 2003 9.34e+12 1.06e+11 8.77e+10 NA 1.18e+10
## 11 2004 9.65e+12 1.13e+11 9.40e+10 NA 1.33e+10
## 12 2005 9.85e+12 1.18e+11 9.72e+10 NA 1.42e+10
## 13 2006 1.02e+13 1.27e+11 1.03e+11 NA 1.51e+10
## 14 2007 1.05e+13 1.34e+11 1.11e+11 NA 1.65e+10
## 15 2008 1.02e+13 1.37e+11 1.16e+11 2.56e+10 1.66e+10
## 16 2009 8.83e+12 1.21e+11 1.03e+11 2.72e+10 1.36e+10
## 17 2010 9.52e+12 1.29e+11 1.12e+11 2.98e+10 1.39e+10
## 18 2011 9.68e+12 1.37e+11 1.18e+11 3.49e+10 1.47e+10
## 19 2012 9.72e+12 1.38e+11 1.16e+11 3.82e+10 1.46e+10
## 20 2013 9.73e+12 1.39e+11 1.15e+11 4.12e+10 1.46e+10
## 21 2014 9.91e+12 1.39e+11 1.17e+11 4.48e+10 1.49e+10
## 22 2015 9.94e+12 1.41e+11 1.16e+11 5.08e+10 1.53e+10
## 23 2016 9.94e+12 1.45e+11 1.21e+11 5.65e+10 1.57e+10
## 24 2017 1.02e+13 1.52e+11 1.24e+11 6.48e+10 1.62e+10
## 25 2018 1.04e+13 1.60e+11 1.26e+11 7.43e+10 1.63e+10
## 26 2019 1.03e+13 1.60e+11 1.32e+11 8.05e+10 1.64e+10
## 27 2020 9.59e+12 1.51e+11 1.27e+11 8.16e+10 1.54e+10
## 28 2021 1.01e+13 1.68e+11 1.60e+11 NA 1.69e+10
## 29 2022 1.03e+13 1.76e+11 1.59e+11 NA 1.91e+10
## 30 2023 1.02e+13 1.74e+11 1.47e+11 NA 1.75e+10
## 31 2024 NA NA NA NA NA
## Bosnia.and.Herzegovina Belarus Brazil Barbados Canada Chile
## 1 NA NA NA NA NA NA
## 2 NA NA 3.91e+11 479000000 1.90e+11 5.52e+10
## 3 NA NA 3.98e+11 483000000 1.92e+11 5.65e+10
## 4 NA NA 4.13e+11 505000000 2.02e+11 5.88e+10
## 5 NA NA 4.05e+11 538000000 2.09e+11 5.81e+10
## 6 NA NA 4.02e+11 533000000 2.21e+11 5.74e+10
## 7 NA NA 4.29e+11 524000000 2.37e+11 5.98e+10
## 8 NA NA 4.36e+11 492000000 2.29e+11 6.03e+10
## 9 NA NA 4.48e+11 495000000 2.34e+11 6.18e+10
## 10 NA NA 4.49e+11 491000000 2.34e+11 6.50e+10
## 11 NA NA 4.87e+11 509000000 2.39e+11 7.07e+10
## 12 NA NA 5.00e+11 518000000 2.44e+11 7.46e+10
## 13 3.85e+09 NA 5.14e+11 525000000 2.44e+11 7.70e+10
## 14 4.10e+09 NA 5.44e+11 524000000 2.40e+11 8.01e+10
## 15 4.52e+09 1.98e+10 5.61e+11 513000000 2.32e+11 8.02e+10
## 16 4.23e+09 1.93e+10 5.21e+11 464000000 2.07e+11 7.49e+10
## 17 4.41e+09 2.53e+10 5.74e+11 456000000 2.20e+11 7.65e+10
## 18 4.52e+09 5.27e+10 5.77e+11 438000000 2.30e+11 7.93e+10
## 19 4.34e+09 9.33e+10 5.63e+11 418000000 2.30e+11 8.19e+10
## 20 4.56e+09 9.18e+10 5.75e+11 419000000 2.34e+11 8.47e+10
## 21 4.57e+09 1.02e+11 5.58e+11 NA 2.46e+11 8.50e+10
## 22 4.71e+09 1.12e+11 5.12e+11 NA 2.44e+11 8.54e+10
## 23 4.92e+09 1.24e+11 4.79e+11 NA 2.44e+11 8.47e+10
## 24 5.07e+09 1.43e+11 4.91e+11 NA 2.53e+11 8.37e+10
## 25 5.15e+09 1.67e+11 4.96e+11 NA 2.62e+11 8.66e+10
## 26 4.88e+09 1.72e+11 4.90e+11 NA 2.61e+11 8.63e+10
## 27 4.57e+09 1.77e+11 4.69e+11 NA 2.41e+11 8.55e+10
## 28 5.02e+09 2.34e+11 4.87e+11 NA 2.53e+11 8.74e+10
## 29 5.06e+09 2.57e+11 4.84e+11 NA 2.63e+11 8.49e+10
## 30 4.87e+09 2.84e+11 4.84e+11 NA NA 8.46e+10
## 31 NA NA NA NA NA NA
## China Colombia Costa.Rica Cyprus Czech.Republic Germany Denmark
## 1 NA NA NA NA NA NA NA
## 2 NA 8.00e+10 4.96e+09 3.05e+09 5.05e+10 8.49e+11 6.61e+10
## 3 NA 7.79e+10 4.96e+09 2.95e+09 5.15e+10 8.49e+11 6.70e+10
## 4 5.54e+11 7.97e+10 5.28e+09 2.95e+09 5.39e+10 8.73e+11 7.03e+10
## 5 6.04e+11 7.86e+10 5.66e+09 3.03e+09 5.48e+10 9.10e+11 7.23e+10
## 6 6.57e+11 6.80e+10 5.95e+09 3.04e+09 5.30e+10 9.22e+11 7.25e+10
## 7 7.32e+11 7.46e+10 6.13e+09 3.16e+09 5.51e+10 9.69e+11 7.81e+10
## 8 8.03e+11 7.53e+10 6.33e+09 3.22e+09 5.92e+10 9.68e+11 7.97e+10
## 9 9.05e+11 7.53e+10 6.56e+09 3.35e+09 6.04e+10 9.57e+11 8.03e+10
## 10 1.06e+12 7.67e+10 6.87e+09 3.41e+09 6.26e+10 9.63e+11 7.87e+10
## 11 1.23e+12 8.12e+10 7.20e+09 3.48e+09 6.91e+10 1.00e+12 7.86e+10
## 12 1.43e+12 8.44e+10 7.52e+09 3.48e+09 7.18e+10 1.03e+12 8.18e+10
## 13 1.67e+12 9.30e+10 8.04e+09 3.51e+09 7.78e+10 1.09e+12 8.39e+10
## 14 1.97e+12 1.02e+11 8.65e+09 3.67e+09 8.61e+10 1.15e+12 8.26e+10
## 15 2.22e+12 9.87e+10 8.93e+09 3.78e+09 8.45e+10 1.16e+12 8.16e+10
## 16 2.47e+12 9.37e+10 8.65e+09 3.48e+09 7.30e+10 9.69e+11 6.87e+10
## 17 2.85e+12 9.77e+10 9.02e+09 3.40e+09 7.93e+10 1.08e+12 6.96e+10
## 18 3.24e+12 1.02e+11 9.38e+09 3.16e+09 8.40e+10 1.15e+12 7.14e+10
## 19 3.57e+12 1.02e+11 9.77e+09 2.84e+09 8.33e+10 1.14e+12 7.21e+10
## 20 3.91e+12 1.01e+11 9.99e+09 2.46e+09 8.32e+10 1.14e+12 7.17e+10
## 21 4.24e+12 1.02e+11 1.03e+10 2.46e+09 8.73e+10 1.16e+12 7.28e+10
## 22 4.50e+12 1.04e+11 1.09e+10 2.46e+09 9.11e+10 1.17e+12 7.40e+10
## 23 4.77e+12 1.04e+11 1.14e+10 2.71e+09 9.42e+10 1.19e+12 7.70e+10
## 24 5.08e+12 1.04e+11 1.17e+10 2.94e+09 1.00e+11 1.22e+12 7.82e+10
## 25 5.40e+12 1.06e+11 1.21e+10 3.14e+09 1.03e+11 1.23e+12 8.01e+10
## 26 5.71e+12 1.08e+11 1.22e+10 3.26e+09 1.03e+11 1.19e+12 8.26e+10
## 27 5.81e+12 9.71e+10 1.16e+10 3.02e+09 9.59e+10 1.08e+12 7.80e+10
## 28 6.45e+12 1.07e+11 1.25e+10 3.27e+09 1.02e+11 1.13e+12 8.55e+10
## 29 6.69e+12 1.15e+11 1.31e+10 3.38e+09 1.05e+11 1.13e+12 9.66e+10
## 30 6.98e+12 1.13e+11 1.38e+10 3.44e+09 1.03e+11 1.10e+12 1.06e+11
## 31 NA NA NA NA NA NA NA
## Dominican.Republic EMDE.East.Asia...Pacific EMDE.Europe...Central.Asia
## 1 NA NA NA
## 2 NA NA 6.82e+11
## 3 NA NA 6.85e+11
## 4 NA NA 6.91e+11
## 5 NA 1.05e+12 6.69e+11
## 6 NA 1.12e+12 6.96e+11
## 7 NA 1.23e+12 7.78e+11
## 8 NA 1.31e+12 7.85e+11
## 9 NA 1.43e+12 8.22e+11
## 10 NA 1.62e+12 8.91e+11
## 11 NA 1.82e+12 9.71e+11
## 12 NA 2.05e+12 1.03e+12
## 13 NA 2.29e+12 1.11e+12
## 14 1.63e+10 2.62e+12 1.19e+12
## 15 1.74e+10 2.89e+12 1.21e+12
## 16 1.66e+10 3.11e+12 1.10e+12
## 17 1.79e+10 3.56e+12 1.19e+12
## 18 1.85e+10 3.97e+12 1.31e+12
## 19 1.85e+10 4.33e+12 1.38e+12
## 20 1.92e+10 4.69e+12 1.42e+12
## 21 2.03e+10 5.06e+12 1.47e+12
## 22 2.13e+10 5.33e+12 1.54e+12
## 23 2.20e+10 5.65e+12 1.59e+12
## 24 2.25e+10 5.99e+12 1.69e+12
## 25 2.38e+10 6.35e+12 1.76e+12
## 26 2.44e+10 6.67e+12 1.80e+12
## 27 2.39e+10 6.65e+12 1.78e+12
## 28 2.64e+10 7.38e+12 1.99e+12
## 29 NA 7.68e+12 2.07e+12
## 30 NA 7.98e+12 2.12e+12
## 31 NA NA NA
## Ecuador Egypt..Arab.Rep. Emerging.Market.and.Developing.Economies..EMDEs.
## 1 NA NA NA
## 2 NA NA NA
## 3 NA NA NA
## 4 NA NA NA
## 5 NA NA 3.08e+12
## 6 NA NA 3.19e+12
## 7 1.61e+10 NA 3.48e+12
## 8 1.67e+10 NA 3.58e+12
## 9 1.68e+10 NA 3.77e+12
## 10 1.71e+10 NA 4.06e+12
## 11 1.80e+10 NA 4.46e+12
## 12 1.96e+10 NA 4.82e+12
## 13 2.13e+10 NA 5.26e+12
## 14 2.35e+10 NA 5.81e+12
## 15 2.45e+10 NA 6.16e+12
## 16 2.41e+10 NA 6.17e+12
## 17 2.60e+10 8.32e+10 6.88e+12
## 18 2.74e+10 7.93e+10 7.46e+12
## 19 2.88e+10 8.27e+10 7.92e+12
## 20 3.01e+10 7.93e+10 8.36e+12
## 21 3.06e+10 8.13e+10 8.81e+12
## 22 2.96e+10 8.16e+10 9.15e+12
## 23 2.94e+10 8.17e+10 9.52e+12
## 24 2.66e+10 8.61e+10 1.00e+13
## 25 2.80e+10 8.74e+10 1.05e+13
## 26 3.00e+10 8.87e+10 1.09e+13
## 27 NA 7.87e+10 1.07e+13
## 28 NA 8.70e+10 1.18e+13
## 29 NA 9.28e+10 1.23e+13
## 30 NA 9.30e+10 1.27e+13
## 31 NA NA NA
## Spain Estonia Finland France United.Kingdom Greece Guatemala
## 1 NA NA NA NA NA NA NA
## 2 3.52e+11 NA 5.25e+10 3.42e+11 4.09e+11 2.53e+10 NA
## 3 3.49e+11 NA 5.33e+10 3.45e+11 4.15e+11 2.56e+10 NA
## 4 3.73e+11 NA 5.68e+10 3.60e+11 4.33e+11 2.56e+10 NA
## 5 3.93e+11 3.13e+09 6.01e+10 3.75e+11 4.50e+11 2.79e+10 NA
## 6 4.04e+11 3.02e+09 6.23e+10 3.85e+11 4.72e+11 2.85e+10 NA
## 7 4.20e+11 3.46e+09 6.76e+10 4.01e+11 4.83e+11 3.09e+10 NA
## 8 4.15e+11 3.77e+09 6.76e+10 4.05e+11 5.04e+11 2.98e+10 9.01e+09
## 9 4.15e+11 4.08e+09 6.85e+10 4.01e+11 5.12e+11 2.99e+10 9.11e+09
## 10 4.21e+11 4.53e+09 6.85e+10 3.97e+11 5.26e+11 3.01e+10 9.34e+09
## 11 4.29e+11 5.00e+09 7.22e+10 4.06e+11 5.26e+11 3.02e+10 9.79e+09
## 12 4.30e+11 5.55e+09 7.15e+10 4.06e+11 5.21e+11 2.98e+10 1.00e+10
## 13 4.45e+11 6.10e+09 7.87e+10 4.09e+11 5.43e+11 3.00e+10 1.04e+10
## 14 4.56e+11 6.49e+09 8.23e+10 4.13e+11 5.34e+11 3.07e+10 1.07e+10
## 15 4.24e+11 6.16e+09 8.33e+10 4.02e+11 5.21e+11 2.94e+10 1.10e+10
## 16 3.55e+11 4.68e+09 6.83e+10 3.52e+11 4.84e+11 2.66e+10 1.09e+10
## 17 3.58e+11 5.78e+09 7.21e+10 3.69e+11 4.72e+11 2.49e+10 1.12e+10
## 18 3.51e+11 6.94e+09 7.34e+10 3.78e+11 4.50e+11 2.35e+10 1.16e+10
## 19 3.29e+11 7.01e+09 7.18e+10 3.68e+11 4.52e+11 2.30e+10 1.19e+10
## 20 3.23e+11 7.30e+09 6.95e+10 3.67e+11 4.61e+11 2.23e+10 1.24e+10
## 21 3.28e+11 7.58e+09 6.83e+10 3.63e+11 4.71e+11 2.18e+10 1.27e+10
## 22 3.39e+11 7.61e+09 6.77e+10 3.69e+11 4.93e+11 2.20e+10 1.32e+10
## 23 3.44e+11 7.86e+09 7.05e+10 3.71e+11 4.93e+11 2.26e+10 1.37e+10
## 24 3.54e+11 8.18e+09 7.27e+10 3.79e+11 4.95e+11 2.36e+10 NA
## 25 3.56e+11 8.57e+09 7.53e+10 3.82e+11 5.10e+11 2.40e+10 NA
## 26 3.59e+11 9.17e+09 7.65e+10 3.83e+11 5.19e+11 2.38e+10 NA
## 27 3.26e+11 8.89e+09 7.42e+10 3.43e+11 5.31e+11 2.33e+10 NA
## 28 3.49e+11 1.01e+10 7.72e+10 3.62e+11 5.10e+11 2.57e+10 NA
## 29 3.58e+11 1.03e+10 8.00e+10 3.61e+11 4.93e+11 2.64e+10 NA
## 30 3.53e+11 8.99e+09 7.83e+10 3.62e+11 4.91e+11 2.70e+10 NA
## 31 NA NA NA NA NA NA NA
## High.Income.Countries Honduras Croatia Hungary Indonesia India Ireland
## 1 NA NA NA NA NA NA NA
## 2 8.49e+12 NA 9.75e+09 1.62e+10 2.65e+11 1.77e+11 2.38e+10
## 3 8.68e+12 NA 1.00e+10 1.68e+10 2.67e+11 1.93e+11 2.57e+10
## 4 9.07e+12 NA 1.07e+10 1.86e+10 2.81e+11 2.04e+11 3.02e+10
## 5 9.21e+12 NA 1.16e+10 2.09e+10 2.30e+11 2.13e+11 3.61e+10
## 6 9.50e+12 NA 1.14e+10 2.31e+10 2.34e+11 2.25e+11 4.15e+10
## 7 1.00e+13 3.18e+09 1.16e+10 2.73e+10 2.49e+11 2.39e+11 4.74e+10
## 8 9.82e+12 3.29e+09 1.23e+10 2.83e+10 2.59e+11 2.46e+11 5.26e+10
## 9 9.84e+12 3.48e+09 1.29e+10 2.91e+10 2.68e+11 2.58e+11 5.69e+10
## 10 1.00e+13 3.70e+09 1.33e+10 3.13e+10 2.82e+11 2.74e+11 6.02e+10
## 11 1.04e+13 3.91e+09 1.38e+10 3.32e+10 2.92e+11 3.04e+11 6.09e+10
## 12 1.06e+13 4.05e+09 1.44e+10 3.55e+10 2.95e+11 3.32e+11 6.33e+10
## 13 1.10e+13 4.14e+09 1.50e+10 3.98e+10 2.91e+11 3.73e+11 6.53e+10
## 14 1.14e+13 4.26e+09 1.57e+10 4.29e+10 3.07e+11 4.31e+11 6.87e+10
## 15 1.12e+13 4.36e+09 1.59e+10 4.29e+10 3.16e+11 4.64e+11 6.72e+10
## 16 9.66e+12 4.00e+09 1.44e+10 3.42e+10 3.20e+11 4.65e+11 6.42e+10
## 17 1.04e+13 4.52e+09 1.42e+10 3.77e+10 3.34e+11 5.10e+11 6.97e+10
## 18 1.06e+13 5.00e+09 1.41e+10 3.99e+10 3.48e+11 5.35e+11 6.93e+10
## 19 1.07e+13 5.18e+09 1.33e+10 3.91e+10 3.62e+11 5.39e+11 6.83e+10
## 20 1.07e+13 5.19e+09 1.30e+10 3.96e+10 3.84e+11 5.49e+11 6.68e+10
## 21 1.09e+13 5.29e+09 1.32e+10 4.28e+10 4.02e+11 5.74e+11 8.08e+10
## 22 1.10e+13 5.48e+09 1.36e+10 4.59e+10 4.22e+11 5.88e+11 1.11e+11
## 23 1.10e+13 5.63e+09 1.43e+10 4.64e+10 4.39e+11 6.19e+11 1.16e+11
## 24 1.13e+13 5.86e+09 1.45e+10 4.85e+10 4.59e+11 6.41e+11 1.13e+11
## 25 1.15e+13 6.11e+09 1.43e+10 5.02e+10 4.78e+11 6.74e+11 1.08e+11
## 26 1.15e+13 6.23e+09 1.44e+10 5.30e+10 4.97e+11 6.78e+11 1.15e+11
## 27 1.08e+13 5.28e+09 1.40e+10 4.98e+10 4.47e+11 6.04e+11 1.32e+11
## 28 1.14e+13 6.40e+09 1.49e+10 5.46e+10 4.80e+11 6.81e+11 1.69e+11
## 29 1.16e+13 NA 1.51e+10 5.79e+10 5.00e+11 7.12e+11 2.01e+11
## 30 1.15e+13 NA 1.50e+10 5.48e+10 5.12e+11 7.53e+11 NA
## 31 NA NA NA NA NA NA NA
## Iceland Israel Italy Jordan Japan Kazakhstan Korea..Rep.
## 1 NA NA NA NA NA NA NA
## 2 NA 2.67e+10 5.85e+11 NA 1.83e+12 NA 1.43e+11
## 3 NA 2.81e+10 5.80e+11 NA 1.87e+12 NA 1.55e+11
## 4 NA 2.86e+10 5.99e+11 NA 1.94e+12 NA 1.62e+11
## 5 2.10e+09 2.94e+10 6.10e+11 NA 1.81e+12 NA 1.52e+11
## 6 2.18e+09 2.98e+10 6.11e+11 NA 1.81e+12 2.07e+10 1.89e+11
## 7 2.32e+09 3.28e+10 6.30e+11 NA 1.91e+12 2.59e+10 2.21e+11
## 8 2.73e+09 3.12e+10 6.25e+11 NA 1.78e+12 3.16e+10 2.23e+11
## 9 2.86e+09 3.06e+10 6.17e+11 6.27e+09 1.76e+12 3.62e+10 2.41e+11
## 10 2.77e+09 3.05e+10 6.10e+11 5.74e+09 1.82e+12 3.93e+10 2.54e+11
## 11 3.02e+09 3.26e+10 6.16e+11 6.43e+09 1.90e+12 4.48e+10 2.80e+11
## 12 3.39e+09 3.43e+10 6.05e+11 7.09e+09 1.93e+12 4.94e+10 2.98e+11
## 13 3.96e+09 3.74e+10 6.24e+11 7.50e+09 2.02e+12 5.30e+10 3.23e+11
## 14 3.99e+09 3.94e+10 6.40e+11 7.74e+09 2.07e+12 5.84e+10 3.45e+11
## 15 5.40e+09 4.22e+10 6.19e+11 7.84e+09 2.00e+12 6.12e+10 3.57e+11
## 16 5.60e+09 3.97e+10 5.03e+11 7.72e+09 1.58e+12 6.29e+10 3.57e+11
## 17 6.32e+09 4.29e+10 5.38e+11 7.47e+09 1.81e+12 6.88e+10 4.15e+11
## 18 7.09e+09 4.38e+10 5.40e+11 7.45e+09 1.76e+12 7.11e+10 4.39e+11
## 19 7.41e+09 4.59e+10 5.08e+11 7.46e+09 1.77e+12 7.15e+10 4.45e+11
## 20 7.11e+09 4.54e+10 4.92e+11 7.58e+09 1.75e+12 7.24e+10 4.49e+11
## 21 7.19e+09 4.57e+10 4.87e+11 7.71e+09 1.78e+12 7.25e+10 4.49e+11
## 22 7.86e+09 4.68e+10 4.96e+11 8.08e+09 1.75e+12 7.13e+10 4.48e+11
## 23 7.16e+09 4.67e+10 5.03e+11 7.67e+09 1.76e+12 6.96e+10 4.58e+11
## 24 7.22e+09 4.75e+10 5.18e+11 7.65e+09 1.81e+12 7.54e+10 4.70e+11
## 25 NA 4.87e+10 5.27e+11 7.14e+09 1.82e+12 7.77e+10 4.77e+11
## 26 NA 5.06e+10 5.21e+11 6.76e+09 1.78e+12 7.92e+10 4.78e+11
## 27 NA 5.18e+10 4.64e+11 5.96e+09 1.60e+12 8.02e+10 4.77e+11
## 28 NA 5.37e+10 5.20e+11 6.16e+09 1.68e+12 7.89e+10 5.18e+11
## 29 NA 5.95e+10 5.18e+11 6.16e+09 1.68e+12 7.98e+10 5.23e+11
## 30 NA 5.88e+10 5.05e+11 6.19e+09 1.66e+12 8.33e+10 5.09e+11
## 31 NA NA NA NA NA NA NA
## EMDE.Latin.America...Caribbean Low.Income.Countries..LIC. Sri.Lanka
## 1 NA NA NA
## 2 8.83e+11 NA NA
## 3 9.15e+11 NA NA
## 4 9.71e+11 NA NA
## 5 9.92e+11 NA NA
## 6 9.86e+11 NA NA
## 7 1.06e+12 NA NA
## 8 1.06e+12 NA NA
## 9 1.06e+12 NA NA
## 10 1.07e+12 NA NA
## 11 1.13e+12 NA NA
## 12 1.17e+12 NA NA
## 13 1.22e+12 6.76e+09 NA
## 14 1.27e+12 7.59e+09 NA
## 15 1.29e+12 8.17e+09 NA
## 16 1.19e+12 9.08e+09 NA
## 17 1.29e+12 9.43e+09 1.82e+10
## 18 1.32e+12 9.91e+09 1.95e+10
## 19 1.33e+12 9.93e+09 1.98e+10
## 20 1.35e+12 1.01e+10 1.97e+10
## 21 1.35e+12 1.12e+10 2.09e+10
## 22 1.32e+12 1.06e+10 2.28e+10
## 23 1.30e+12 1.14e+10 2.35e+10
## 24 1.32e+12 1.24e+10 2.41e+10
## 25 1.34e+12 1.34e+10 2.43e+10
## 26 1.34e+12 1.36e+10 2.46e+10
## 27 1.26e+12 NA 2.21e+10
## 28 1.34e+12 NA 2.38e+10
## 29 1.38e+12 NA 2.09e+10
## 30 1.38e+12 NA 2.01e+10
## 31 NA NA NA
## Lithuania Luxembourg Latvia Moldova..Rep. Mexico
## 1 NA NA NA NA NA
## 2 NA 5.14e+09 NA NA 2.70e+11
## 3 5.44e+09 5.14e+09 NA NA 2.93e+11
## 4 5.82e+09 5.44e+09 NA NA 3.25e+11
## 5 7.11e+09 5.44e+09 NA NA 3.56e+11
## 6 6.19e+09 6.06e+09 3.73e+09 NA 3.63e+11
## 7 6.13e+09 5.87e+09 3.96e+09 NA 3.90e+11
## 8 6.91e+09 6.17e+09 4.38e+09 NA 3.82e+11
## 9 7.29e+09 6.47e+09 4.68e+09 NA 3.70e+11
## 10 8.39e+09 6.81e+09 5.05e+09 NA 3.69e+11
## 11 9.37e+09 7.19e+09 5.41e+09 NA 3.79e+11
## 12 1.00e+10 7.35e+09 5.79e+09 NA 3.87e+11
## 13 1.05e+10 7.51e+09 6.17e+09 NA 4.07e+11
## 14 1.08e+10 7.50e+09 6.24e+09 NA 4.08e+11
## 15 1.13e+10 7.12e+09 6.04e+09 NA 4.02e+11
## 16 9.70e+09 5.98e+09 4.94e+09 NA 3.60e+11
## 17 1.03e+10 6.51e+09 5.68e+09 1.75e+09 3.87e+11
## 18 1.09e+10 6.62e+09 6.19e+09 1.98e+09 4.00e+11
## 19 1.13e+10 6.26e+09 6.57e+09 1.94e+09 4.19e+11
## 20 1.16e+10 6.01e+09 6.51e+09 2.10e+09 4.17e+11
## 21 1.15e+10 6.37e+09 6.44e+09 2.26e+09 4.34e+11
## 22 1.20e+10 6.30e+09 6.67e+09 2.27e+09 4.49e+11
## 23 1.23e+10 6.33e+09 7.03e+09 2.29e+09 4.53e+11
## 24 1.31e+10 6.44e+09 7.62e+09 2.37e+09 4.64e+11
## 25 1.38e+10 6.45e+09 7.73e+09 2.46e+09 4.70e+11
## 26 1.43e+10 6.23e+09 7.81e+09 2.51e+09 4.70e+11
## 27 1.43e+10 5.59e+09 7.69e+09 2.37e+09 4.32e+11
## 28 1.72e+10 6.04e+09 8.21e+09 2.66e+09 4.69e+11
## 29 1.88e+10 5.94e+09 8.28e+09 2.53e+09 4.96e+11
## 30 1.76e+10 5.58e+09 7.81e+09 2.44e+09 5.00e+11
## 31 NA NA NA NA NA
## Middle.Income.Countries..MIC. North.Macedonia Malta Montenegro Mongolia
## 1 NA NA NA NA NA
## 2 NA NA NA NA NA
## 3 NA NA NA NA NA
## 4 NA NA NA NA NA
## 5 2.57e+12 NA NA NA NA
## 6 2.64e+12 NA NA NA NA
## 7 2.87e+12 2.41e+09 1920000000 769000000 NA
## 8 2.96e+12 2.34e+09 1800000000 763000000 NA
## 9 3.13e+12 2.22e+09 1810000000 768000000 NA
## 10 3.37e+12 2.32e+09 1890000000 788000000 NA
## 11 3.70e+12 2.27e+09 1880000000 902000000 NA
## 12 4.04e+12 2.43e+09 1770000000 881000000 NA
## 13 4.41e+12 2.57e+09 1900000000 876000000 NA
## 14 4.91e+12 2.67e+09 2040000000 877000000 1.65e+09
## 15 5.24e+12 2.81e+09 1960000000 860000000 1.64e+09
## 16 5.33e+12 2.56e+09 1670000000 583000000 1.61e+09
## 17 5.99e+12 2.44e+09 1820000000 686000000 3.60e+09
## 18 6.52e+12 2.61e+09 1820000000 616000000 2.23e+09
## 19 6.96e+12 2.54e+09 1920000000 573000000 2.51e+09
## 20 7.37e+12 2.62e+09 1820000000 633000000 2.68e+09
## 21 7.79e+12 2.74e+09 1710000000 562000000 2.74e+09
## 22 8.09e+12 2.88e+09 1710000000 607000000 3.29e+09
## 23 8.44e+12 2.98e+09 1580000000 591000000 4.27e+09
## 24 8.90e+12 2.98e+09 1690000000 566000000 5.06e+09
## 25 9.36e+12 3.14e+09 1750000000 693000000 5.69e+09
## 26 9.70e+12 3.26e+09 1810000000 649000000 6.80e+09
## 27 9.50e+12 2.95e+09 1820000000 643000000 4.61e+09
## 28 1.06e+13 2.99e+09 1810000000 675000000 5.99e+09
## 29 1.10e+13 2.98e+09 1830000000 653000000 6.12e+09
## 30 1.14e+13 3.00e+09 1960000000 694000000 1.09e+10
## 31 NA NA NA NA NA
## EMDE.Middle.East...N..Africa Malawi Malaysia Nicaragua Netherlands
## 1 NA NA NA NA NA
## 2 NA 1.62e+09 5.07e+10 1.04e+09 1.26e+11
## 3 NA 1.68e+09 5.63e+10 1.09e+09 1.29e+11
## 4 NA 1.65e+09 6.24e+10 1.15e+09 1.28e+11
## 5 NA 1.61e+09 5.78e+10 1.16e+09 1.30e+11
## 6 NA 1.43e+09 6.31e+10 1.26e+09 1.34e+11
## 7 NA 1.46e+09 7.52e+10 1.30e+09 1.52e+11
## 8 NA 1.32e+09 7.21e+10 1.36e+09 1.54e+11
## 9 NA 1.33e+09 7.54e+10 1.40e+09 1.55e+11
## 10 NA 1.29e+09 8.24e+10 1.44e+09 1.53e+11
## 11 NA 1.40e+09 9.21e+10 1.53e+09 1.60e+11
## 12 NA 1.36e+09 9.54e+10 1.55e+09 1.61e+11
## 13 NA 1.40e+09 1.00e+11 1.63e+09 1.64e+11
## 14 NA 1.57e+09 1.02e+11 1.72e+09 1.71e+11
## 15 NA 1.69e+09 1.03e+11 1.68e+09 1.72e+11
## 16 NA 1.90e+09 9.53e+10 1.70e+09 1.60e+11
## 17 NA 1.94e+09 1.02e+11 1.83e+09 1.72e+11
## 18 9.94e+10 2.18e+09 1.05e+11 1.95e+09 1.71e+11
## 19 1.03e+11 1.92e+09 1.09e+11 2.00e+09 1.70e+11
## 20 1.00e+11 1.85e+09 1.13e+11 2.00e+09 1.71e+11
## 21 1.02e+11 2.07e+09 1.19e+11 2.18e+09 1.66e+11
## 22 1.02e+11 1.46e+09 1.21e+11 2.20e+09 1.60e+11
## 23 1.02e+11 NA 1.26e+11 2.29e+09 1.63e+11
## 24 1.06e+11 NA 1.32e+11 NA 1.64e+11
## 25 1.07e+11 NA 1.36e+11 NA 1.67e+11
## 26 1.08e+11 NA 1.40e+11 NA 1.65e+11
## 27 9.61e+10 NA 1.34e+11 NA 1.59e+11
## 28 1.06e+11 NA 1.44e+11 NA 1.66e+11
## 29 1.12e+11 NA 1.54e+11 NA 1.71e+11
## 30 1.12e+11 NA 1.55e+11 NA 1.69e+11
## 31 NA NA NA NA NA
## Norway Pakistan Peru Philippines Poland Portugal Paraguay Romania
## 1 NA NA NA NA NA NA NA NA
## 2 1.45e+11 NA 3.01e+10 8.70e+10 8.24e+10 4.57e+10 NA 7.49e+10
## 3 1.53e+11 NA 3.10e+10 9.05e+10 9.01e+10 4.81e+10 NA 7.91e+10
## 4 1.58e+11 NA 3.28e+10 9.52e+10 7.81e+10 4.93e+10 NA 7.39e+10
## 5 1.57e+11 1.57e+10 3.16e+10 8.42e+10 8.18e+10 5.21e+10 NA 6.13e+10
## 6 1.56e+11 1.66e+10 3.15e+10 8.51e+10 8.56e+10 5.37e+10 NA 5.66e+10
## 7 1.61e+11 2.15e+10 3.40e+10 8.71e+10 9.21e+10 5.35e+10 NA 6.04e+10
## 8 1.60e+11 2.28e+10 3.37e+10 8.48e+10 9.24e+10 5.46e+10 NA 6.27e+10
## 9 1.59e+11 2.32e+10 3.58e+10 8.52e+10 9.37e+10 5.48e+10 NA 6.25e+10
## 10 1.55e+11 2.58e+10 3.60e+10 8.40e+10 1.02e+11 5.42e+10 NA 6.20e+10
## 11 1.54e+11 2.80e+10 4.01e+10 8.19e+10 1.15e+11 5.38e+10 NA 6.37e+10
## 12 1.54e+11 3.22e+10 4.30e+10 8.27e+10 1.20e+11 6.03e+10 8.19e+09 6.16e+10
## 13 1.51e+11 3.56e+10 4.59e+10 7.72e+10 1.34e+11 5.97e+10 8.57e+09 6.74e+10
## 14 1.49e+11 3.79e+10 5.03e+10 7.37e+10 1.47e+11 5.88e+10 9.08e+09 7.43e+10
## 15 1.50e+11 3.79e+10 5.48e+10 7.39e+10 1.51e+11 5.50e+10 9.59e+09 7.63e+10
## 16 1.44e+11 3.65e+10 5.10e+10 6.51e+10 1.45e+11 4.78e+10 9.27e+09 7.21e+10
## 17 1.36e+11 3.65e+10 5.82e+10 8.02e+10 1.61e+11 4.80e+10 1.05e+10 7.60e+10
## 18 1.29e+11 3.74e+10 6.15e+10 8.11e+10 1.72e+11 4.71e+10 1.09e+10 8.17e+10
## 19 1.31e+11 3.81e+10 6.09e+10 8.73e+10 1.74e+11 4.47e+10 1.09e+10 8.37e+10
## 20 1.28e+11 4.08e+10 6.39e+10 9.01e+10 1.78e+11 4.53e+10 1.26e+10 9.02e+10
## 21 1.31e+11 4.20e+10 6.16e+10 1.07e+11 1.84e+11 4.59e+10 1.32e+10 9.57e+10
## 22 1.33e+11 4.37e+10 6.06e+10 9.71e+10 1.93e+11 4.69e+10 1.34e+10 9.84e+10
## 23 1.31e+11 4.44e+10 5.98e+10 1.10e+11 1.98e+11 4.76e+10 1.40e+10 1.01e+11
## 24 1.31e+11 4.67e+10 5.98e+10 1.22e+11 2.11e+11 4.86e+10 1.47e+10 1.09e+11
## 25 1.28e+11 4.85e+10 6.32e+10 1.31e+11 2.24e+11 4.89e+10 1.52e+10 1.13e+11
## 26 1.23e+11 4.94e+10 6.20e+10 1.20e+11 2.33e+11 4.78e+10 1.53e+10 1.11e+11
## 27 1.32e+11 4.46e+10 5.42e+10 7.11e+10 2.31e+11 4.40e+10 1.52e+10 1.00e+11
## 28 1.34e+11 5.11e+10 6.47e+10 1.09e+11 2.64e+11 4.57e+10 1.59e+10 1.08e+11
## 29 1.34e+11 5.46e+10 6.51e+10 1.25e+11 2.91e+11 4.58e+10 NA 1.08e+11
## 30 1.34e+11 4.92e+10 6.09e+10 1.31e+11 2.85e+11 4.43e+10 NA 1.05e+11
## 31 NA NA NA NA NA NA NA NA
## Russian.Federation EMDE.South.Asia Singapore El.Salvador Serbia
## 1 NA NA NA NA NA
## 2 2.99e+11 2.02e+11 2.94e+10 3.20e+09 1.12e+10
## 3 2.83e+11 2.21e+11 3.03e+10 3.20e+09 1.17e+10
## 4 2.89e+11 2.34e+11 3.17e+10 3.38e+09 1.38e+10
## 5 2.74e+11 2.48e+11 3.16e+10 3.70e+09 1.43e+10
## 6 3.05e+11 2.62e+11 3.60e+10 3.92e+09 1.06e+10
## 7 3.50e+11 2.82e+11 4.15e+10 3.93e+09 1.19e+10
## 8 3.60e+11 2.91e+11 3.67e+10 4.06e+09 1.19e+10
## 9 3.71e+11 3.05e+11 3.98e+10 4.17e+09 1.21e+10
## 10 4.06e+11 3.26e+11 4.10e+10 4.03e+09 1.18e+10
## 11 4.39e+11 3.60e+11 4.66e+10 4.11e+09 1.25e+10
## 12 4.62e+11 3.95e+11 5.11e+10 4.32e+09 1.26e+10
## 13 4.91e+11 4.42e+11 5.72e+10 4.44e+09 1.31e+10
## 14 5.25e+11 5.06e+11 6.06e+10 4.63e+09 1.37e+10
## 15 5.28e+11 5.42e+11 5.80e+10 4.66e+09 1.39e+10
## 16 4.79e+11 5.44e+11 5.56e+10 4.54e+09 1.21e+10
## 17 5.02e+11 5.95e+11 7.21e+10 4.63e+09 1.23e+10
## 18 5.28e+11 6.27e+11 7.77e+10 4.85e+09 1.26e+10
## 19 5.46e+11 6.35e+11 7.80e+10 4.92e+09 1.23e+10
## 20 5.56e+11 6.51e+11 7.93e+10 4.92e+09 1.30e+10
## 21 5.69e+11 6.81e+11 8.14e+10 5.06e+09 1.20e+10
## 22 5.99e+11 7.06e+11 7.72e+10 5.17e+09 1.29e+10
## 23 6.11e+11 7.43e+11 8.01e+10 5.19e+09 1.36e+10
## 24 6.33e+11 7.77e+11 8.84e+10 5.29e+09 1.41e+10
## 25 6.56e+11 8.21e+11 9.47e+10 5.39e+09 1.43e+10
## 26 6.78e+11 8.33e+11 9.33e+10 NA 1.43e+10
## 27 6.64e+11 7.52e+11 1.00e+11 NA 1.42e+10
## 28 7.06e+11 8.49e+11 1.14e+11 NA 1.52e+10
## 29 7.11e+11 8.79e+11 1.17e+11 NA 1.55e+10
## 30 7.40e+11 9.19e+11 1.12e+11 NA 1.59e+10
## 31 NA NA NA NA NA
## EMDE.Sub.Saharan.Africa Slovakia Slovenia Sweden Thailand Tunisia
## 1 NA NA NA NA NA NA
## 2 1.14e+11 1.49e+10 1.01e+10 1.10e+11 NA 8.96e+09
## 3 1.18e+11 1.53e+10 1.02e+10 1.12e+11 NA 9.17e+09
## 4 1.21e+11 1.55e+10 1.03e+10 1.21e+11 NA 9.56e+09
## 5 1.17e+11 1.63e+10 1.19e+10 1.26e+11 NA 1.02e+10
## 6 1.16e+11 1.60e+10 1.19e+10 1.30e+11 NA 1.08e+10
## 7 1.21e+11 1.63e+10 1.26e+10 1.32e+11 7.42e+10 1.11e+10
## 8 1.23e+11 1.69e+10 1.30e+10 1.31e+11 7.42e+10 1.15e+10
## 9 1.29e+11 1.82e+10 1.33e+10 1.31e+11 8.15e+10 1.15e+10
## 10 1.26e+11 2.09e+10 1.35e+10 1.33e+11 9.22e+10 1.13e+10
## 11 1.31e+11 2.17e+10 1.41e+10 1.40e+11 1.03e+11 1.17e+10
## 12 1.34e+11 2.19e+10 1.46e+10 1.44e+11 1.13e+11 1.17e+10
## 13 1.40e+11 2.53e+10 1.54e+10 1.48e+11 1.20e+11 1.21e+10
## 14 1.47e+11 2.96e+10 1.66e+10 1.53e+11 1.30e+11 1.33e+10
## 15 1.47e+11 3.30e+10 1.70e+10 1.49e+11 1.36e+11 1.34e+10
## 16 1.28e+11 2.75e+10 1.40e+10 1.23e+11 1.26e+11 1.29e+10
## 17 1.34e+11 3.19e+10 1.50e+10 1.35e+11 1.44e+11 1.35e+10
## 18 1.38e+11 3.33e+10 1.52e+10 1.38e+11 1.38e+11 1.27e+10
## 19 1.41e+11 3.60e+10 1.50e+10 1.35e+11 1.52e+11 1.31e+10
## 20 1.43e+11 3.59e+10 1.49e+10 1.29e+11 1.55e+11 1.32e+10
## 21 1.44e+11 3.71e+10 1.52e+10 1.27e+11 1.49e+11 1.31e+10
## 22 1.44e+11 3.90e+10 1.61e+10 1.31e+11 1.49e+11 1.27e+10
## 23 1.45e+11 3.99e+10 1.72e+10 1.33e+11 1.51e+11 1.26e+10
## 24 1.45e+11 4.06e+10 1.85e+10 1.39e+11 1.54e+11 1.25e+10
## 25 1.47e+11 4.02e+10 1.94e+10 1.42e+11 1.59e+11 1.24e+10
## 26 1.46e+11 3.77e+10 2.00e+10 1.46e+11 1.54e+11 1.20e+10
## 27 1.30e+11 3.43e+10 1.90e+10 1.39e+11 1.39e+11 1.14e+10
## 28 1.37e+11 3.80e+10 2.09e+10 1.50e+11 1.51e+11 1.26e+10
## 29 1.36e+11 3.63e+10 2.12e+10 1.53e+11 1.53e+11 1.29e+10
## 30 1.37e+11 3.77e+10 2.00e+10 1.52e+11 1.47e+11 1.26e+10
## 31 NA NA NA NA NA NA
## Turkey Uganda Ukraine Uruguay United.States Uzbekistan Viet.Nam
## 1 NA NA NA NA NA NA NA
## 2 1.22e+11 NA NA NA 2.35e+12 NA NA
## 3 1.29e+11 NA NA NA 2.46e+12 NA NA
## 4 1.42e+11 NA NA NA 2.63e+12 NA NA
## 5 1.44e+11 NA NA NA 2.79e+12 NA NA
## 6 1.38e+11 NA NA NA 2.91e+12 NA NA
## 7 1.47e+11 NA NA NA 3.02e+12 NA NA
## 8 1.34e+11 NA NA NA 2.93e+12 NA NA
## 9 1.47e+11 NA 3.23e+10 6.47e+09 2.94e+12 NA NA
## 10 1.59e+11 NA 3.75e+10 6.95e+09 2.98e+12 NA NA
## 11 1.75e+11 NA 4.19e+10 8.29e+09 3.06e+12 NA NA
## 12 2.00e+11 5.21e+09 4.31e+10 8.93e+09 3.16e+12 NA NA
## 13 2.14e+11 5.36e+09 4.55e+10 9.40e+09 3.23e+12 NA NA
## 14 2.29e+11 6.01e+09 4.88e+10 9.95e+09 3.32e+12 NA NA
## 15 2.28e+11 6.48e+09 4.63e+10 1.12e+10 3.20e+12 NA 3.92e+10
## 16 2.05e+11 7.18e+09 3.68e+10 1.07e+10 2.84e+12 NA 4.19e+10
## 17 2.32e+11 7.49e+09 4.12e+10 1.11e+10 2.99e+12 1.10e+10 4.65e+10
## 18 2.68e+11 7.73e+09 4.45e+10 1.11e+10 3.09e+12 1.15e+10 4.97e+10
## 19 2.80e+11 8.01e+09 4.42e+10 1.18e+10 3.18e+12 1.22e+10 5.17e+10
## 20 2.98e+11 8.24e+09 4.23e+10 1.23e+10 3.25e+12 1.31e+10 3.54e+10
## 21 3.15e+11 9.10e+09 3.76e+10 1.24e+10 3.34e+12 1.37e+10 3.80e+10
## 22 3.35e+11 9.18e+09 3.30e+10 1.28e+10 3.30e+12 1.44e+10 4.25e+10
## 23 3.46e+11 9.66e+09 3.43e+10 1.28e+10 3.22e+12 1.52e+10 4.95e+10
## 24 3.77e+11 1.03e+10 3.47e+10 1.14e+10 3.27e+12 1.60e+10 3.49e+10
## 25 3.82e+11 1.11e+10 3.57e+10 1.26e+10 3.37e+12 1.77e+10 3.87e+10
## 26 3.79e+11 1.12e+10 3.55e+10 1.24e+10 3.35e+12 1.89e+10 4.13e+10
## 27 3.88e+11 NA 3.39e+10 1.18e+10 3.11e+12 1.89e+10 4.24e+10
## 28 4.51e+11 NA 3.46e+10 1.32e+10 3.24e+12 2.04e+10 4.33e+10
## 29 4.74e+11 NA 2.19e+10 1.37e+10 3.36e+12 2.14e+10 5.00e+10
## 30 4.82e+11 NA 2.34e+10 1.38e+10 3.36e+12 NA 4.43e+10
## 31 NA NA NA NA NA NA NA
## World..WBG.members. South.Africa
## 1 NA NA
## 2 1.09e+13 1.08e+11
## 3 1.12e+13 1.12e+11
## 4 1.17e+13 1.14e+11
## 5 1.19e+13 1.11e+11
## 6 1.22e+13 1.10e+11
## 7 1.30e+13 1.14e+11
## 8 1.29e+13 1.17e+11
## 9 1.30e+13 1.22e+11
## 10 1.35e+13 1.19e+11
## 11 1.42e+13 1.24e+11
## 12 1.47e+13 1.28e+11
## 13 1.55e+13 1.33e+11
## 14 1.63e+13 1.39e+11
## 15 1.64e+13 1.39e+11
## 16 1.50e+13 1.19e+11
## 17 1.64e+13 1.25e+11
## 18 1.71e+13 1.28e+11
## 19 1.76e+13 1.31e+11
## 20 1.81e+13 1.33e+11
## 21 1.87e+13 1.33e+11
## 22 1.91e+13 1.33e+11
## 23 1.95e+13 1.34e+11
## 24 2.02e+13 1.33e+11
## 25 2.09e+13 1.34e+11
## 26 2.12e+13 1.33e+11
## 27 2.03e+13 1.17e+11
## 28 2.20e+13 1.24e+11
## 29 2.26e+13 1.23e+11
## 30 2.29e+13 1.24e+11
## 31 NA NAIndustrial_dataset <- gather(Industrial_dataset, key="country", value ="Industrial_Production_rate", 3:92) %>%
na.omit(Industrial_dataset) %>%
group_by(country)
head(Industrial_dataset,10)## # A tibble: 10 × 4
## # Groups: country [1]
## year Advanced_Economies country Industrial_Production_rate
## <int> <dbl> <chr> <dbl>
## 1 1995 7950000000000 Austria 75300000000
## 2 1996 8140000000000 Austria 74400000000
## 3 1997 8540000000000 Austria 79200000000
## 4 1998 8690000000000 Austria 85900000000
## 5 1999 8950000000000 Austria 91300000000
## 6 2000 9400000000000 Austria 100000000000
## 7 2001 9200000000000 Austria 103000000000
## 8 2002 9210000000000 Austria 104000000000
## 9 2003 9340000000000 Austria 106000000000
## 10 2004 9650000000000 Austria 113000000000Industrial_dataset<- subset(Industrial_dataset,country =="Austria")
Industrial_dataset## # A tibble: 29 × 4
## # Groups: country [1]
## year Advanced_Economies country Industrial_Production_rate
## <int> <dbl> <chr> <dbl>
## 1 1995 7950000000000 Austria 75300000000
## 2 1996 8140000000000 Austria 74400000000
## 3 1997 8540000000000 Austria 79200000000
## 4 1998 8690000000000 Austria 85900000000
## 5 1999 8950000000000 Austria 91300000000
## 6 2000 9400000000000 Austria 100000000000
## 7 2001 9200000000000 Austria 103000000000
## 8 2002 9210000000000 Austria 104000000000
## 9 2003 9340000000000 Austria 106000000000
## 10 2004 9650000000000 Austria 113000000000
## # ℹ 19 more rowsIndustrial_dataset <- select(Industrial_dataset,year,country,Industrial_Production_rate) %>%
group_by(year)
Industrial_dataset## # A tibble: 29 × 3
## # Groups: year [29]
## year country Industrial_Production_rate
## <int> <chr> <dbl>
## 1 1995 Austria 75300000000
## 2 1996 Austria 74400000000
## 3 1997 Austria 79200000000
## 4 1998 Austria 85900000000
## 5 1999 Austria 91300000000
## 6 2000 Austria 100000000000
## 7 2001 Austria 103000000000
## 8 2002 Austria 104000000000
## 9 2003 Austria 106000000000
## 10 2004 Austria 113000000000
## # ℹ 19 more rowsIndustrial_dataset <- subset(Industrial_dataset,country == "Austria")
ggplot(Industrial_dataset, aes(x=Industrial_dataset$year, y=Industrial_dataset$Industrial_Production_rate, fill = Industrial_dataset$country))+
geom_bar(stat='identity', position = 'dodge')
#========================================================dataset 3================================================================================
Labor_Force_data3 <- read.csv("https://raw.githubusercontent.com/asadny82/Data607/refs/heads/main/Labor%20Force%20Statistics%20from%20the%20Current%20Population%20Survey.csv")
Labor_Force_data3## Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
## 1 2014 6.6 6.7 6.7 6.2 6.3 6.1 6.2 6.1 5.9 5.7 5.8 5.6
## 2 2015 5.7 5.5 5.4 5.4 5.6 5.3 5.2 5.1 5.0 5.0 5.1 5.0
## 3 2016 4.8 4.9 5.0 5.1 4.8 4.9 4.8 4.9 5.0 4.9 4.7 4.7
## 4 2017 4.7 4.6 4.4 4.4 4.4 4.3 4.3 4.4 4.3 4.2 4.2 4.1
## 5 2018 4.0 4.1 4.0 4.0 3.8 4.0 3.8 3.8 3.7 3.8 3.8 3.9
## 6 2019 4.0 3.8 3.8 3.7 3.6 3.6 3.7 3.6 3.5 3.6 3.6 3.6
## 7 2020 3.6 3.5 4.4 14.8 13.2 11.0 10.2 8.4 7.8 6.8 6.7 6.7
## 8 2021 6.4 6.2 6.1 6.1 5.8 5.9 5.4 5.1 4.7 4.5 4.1 3.9
## 9 2022 4.0 3.8 3.6 3.7 3.6 3.6 3.5 3.6 3.5 3.6 3.6 3.5
## 10 2023 3.4 3.6 3.5 3.4 3.7 3.6 3.5 3.8 3.8 3.8 3.7 3.7
## 11 2024 3.7 3.9 3.8 3.9 4.0 4.1 4.3 4.2 4.1 NA NA NALabor_Force_data3 <-rename(Labor_Force_data3,"year"=Year)
head(Labor_Force_data3,10)## year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
## 1 2014 6.6 6.7 6.7 6.2 6.3 6.1 6.2 6.1 5.9 5.7 5.8 5.6
## 2 2015 5.7 5.5 5.4 5.4 5.6 5.3 5.2 5.1 5.0 5.0 5.1 5.0
## 3 2016 4.8 4.9 5.0 5.1 4.8 4.9 4.8 4.9 5.0 4.9 4.7 4.7
## 4 2017 4.7 4.6 4.4 4.4 4.4 4.3 4.3 4.4 4.3 4.2 4.2 4.1
## 5 2018 4.0 4.1 4.0 4.0 3.8 4.0 3.8 3.8 3.7 3.8 3.8 3.9
## 6 2019 4.0 3.8 3.8 3.7 3.6 3.6 3.7 3.6 3.5 3.6 3.6 3.6
## 7 2020 3.6 3.5 4.4 14.8 13.2 11.0 10.2 8.4 7.8 6.8 6.7 6.7
## 8 2021 6.4 6.2 6.1 6.1 5.8 5.9 5.4 5.1 4.7 4.5 4.1 3.9
## 9 2022 4.0 3.8 3.6 3.7 3.6 3.6 3.5 3.6 3.5 3.6 3.6 3.5
## 10 2023 3.4 3.6 3.5 3.4 3.7 3.6 3.5 3.8 3.8 3.8 3.7 3.7tail(Labor_Force_data3,10)## year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
## 2 2015 5.7 5.5 5.4 5.4 5.6 5.3 5.2 5.1 5.0 5.0 5.1 5.0
## 3 2016 4.8 4.9 5.0 5.1 4.8 4.9 4.8 4.9 5.0 4.9 4.7 4.7
## 4 2017 4.7 4.6 4.4 4.4 4.4 4.3 4.3 4.4 4.3 4.2 4.2 4.1
## 5 2018 4.0 4.1 4.0 4.0 3.8 4.0 3.8 3.8 3.7 3.8 3.8 3.9
## 6 2019 4.0 3.8 3.8 3.7 3.6 3.6 3.7 3.6 3.5 3.6 3.6 3.6
## 7 2020 3.6 3.5 4.4 14.8 13.2 11.0 10.2 8.4 7.8 6.8 6.7 6.7
## 8 2021 6.4 6.2 6.1 6.1 5.8 5.9 5.4 5.1 4.7 4.5 4.1 3.9
## 9 2022 4.0 3.8 3.6 3.7 3.6 3.6 3.5 3.6 3.5 3.6 3.6 3.5
## 10 2023 3.4 3.6 3.5 3.4 3.7 3.6 3.5 3.8 3.8 3.8 3.7 3.7
## 11 2024 3.7 3.9 3.8 3.9 4.0 4.1 4.3 4.2 4.1 NA NA NALabor_Force_data3 <- pivot_longer(Labor_Force_data3,2:13,names_to = "Month",values_to = "population_servey_rate")
Labor_Force_data3## # A tibble: 132 × 3
## year Month population_servey_rate
## <int> <chr> <dbl>
## 1 2014 Jan 6.6
## 2 2014 Feb 6.7
## 3 2014 Mar 6.7
## 4 2014 Apr 6.2
## 5 2014 May 6.3
## 6 2014 Jun 6.1
## 7 2014 Jul 6.2
## 8 2014 Aug 6.1
## 9 2014 Sep 5.9
## 10 2014 Oct 5.7
## # ℹ 122 more rowsLabor_Force_data3 %>% rename_all(tolower) %>%
select(year, month, population_servey_rate) %>%
mutate(year = tolower(year), month=tolower(month))## # A tibble: 132 × 3
## year month population_servey_rate
## <chr> <chr> <dbl>
## 1 2014 jan 6.6
## 2 2014 feb 6.7
## 3 2014 mar 6.7
## 4 2014 apr 6.2
## 5 2014 may 6.3
## 6 2014 jun 6.1
## 7 2014 jul 6.2
## 8 2014 aug 6.1
## 9 2014 sep 5.9
## 10 2014 oct 5.7
## # ℹ 122 more rowsLabor_Force_data3<- subset(Labor_Force_data3,Month=="Jan")
Labor_Force_data3## # A tibble: 11 × 3
## year Month population_servey_rate
## <int> <chr> <dbl>
## 1 2014 Jan 6.6
## 2 2015 Jan 5.7
## 3 2016 Jan 4.8
## 4 2017 Jan 4.7
## 5 2018 Jan 4
## 6 2019 Jan 4
## 7 2020 Jan 3.6
## 8 2021 Jan 6.4
## 9 2022 Jan 4
## 10 2023 Jan 3.4
## 11 2024 Jan 3.7Labor_Force_data3<-select(Labor_Force_data3,year,population_servey_rate) %>%
group_by(year)
Labor_Force_data3## # A tibble: 11 × 2
## # Groups: year [11]
## year population_servey_rate
## <int> <dbl>
## 1 2014 6.6
## 2 2015 5.7
## 3 2016 4.8
## 4 2017 4.7
## 5 2018 4
## 6 2019 4
## 7 2020 3.6
## 8 2021 6.4
## 9 2022 4
## 10 2023 3.4
## 11 2024 3.7#=================================================================end====================================================================
UMp_dataset %>%
cross_join(Industrial_dataset)## # A tibble: 638 × 7
## year.x Advanced_Economies country.x unemployees_rate year.y country.y
## <int> <dbl> <chr> <dbl> <int> <chr>
## 1 2002 6.55 Argentina 22.4 1995 Austria
## 2 2002 6.55 Argentina 22.4 1996 Austria
## 3 2002 6.55 Argentina 22.4 1997 Austria
## 4 2002 6.55 Argentina 22.4 1998 Austria
## 5 2002 6.55 Argentina 22.4 1999 Austria
## 6 2002 6.55 Argentina 22.4 2000 Austria
## 7 2002 6.55 Argentina 22.4 2001 Austria
## 8 2002 6.55 Argentina 22.4 2002 Austria
## 9 2002 6.55 Argentina 22.4 2003 Austria
## 10 2002 6.55 Argentina 22.4 2004 Austria
## # ℹ 628 more rows
## # ℹ 1 more variable: Industrial_Production_rate <dbl>UMp_dataset %>%
left_join (Industrial_dataset) %>%
left_join(Labor_Force_data3)## Joining with `by = join_by(year, country)`
## Joining with `by = join_by(year)`## # A tibble: 22 × 6
## # Groups: year [22]
## year Advanced_Economies country unemployees_rate Industrial_Production_r…¹
## <int> <dbl> <chr> <dbl> <dbl>
## 1 2002 6.55 Argentina 22.4 NA
## 2 2003 6.76 Argentina 17.2 NA
## 3 2004 6.53 Argentina 13.6 NA
## 4 2005 6.19 Argentina 11.6 NA
## 5 2006 5.75 Argentina 10.2 NA
## 6 2007 5.50 Argentina 8.45 NA
## 7 2008 5.91 Argentina 7.86 NA
## 8 2009 8.14 Argentina 8.67 NA
## 9 2010 8.45 Argentina 7.75 NA
## 10 2011 8.16 Argentina 7.15 NA
## # ℹ 12 more rows
## # ℹ abbreviated name: ¹Industrial_Production_rate
## # ℹ 1 more variable: population_servey_rate <dbl>