diff --git a/Cleaned Data/Global_Consumption_and_Temperature.csv b/Cleaned Data/Global_Consumption_and_Temperature.csv index 8ce0d71..c369364 100644 --- a/Cleaned Data/Global_Consumption_and_Temperature.csv +++ b/Cleaned Data/Global_Consumption_and_Temperature.csv @@ -1,32 +1,32 @@ -,Year,Consumption,Temperature Delta -0,1986,649.0688031799999,0.2098 -1,1987,669.18653258,0.3498 -2,1988,695.27090463,0.39285 -3,1989,704.71529439,0.2935 -4,1990,717.9190910299999,0.4364 -5,1991,704.5288543999999,0.41775 -6,1992,702.1488570199999,0.24355 -7,1993,707.9465134499999,0.26265 -8,1994,715.7659943699999,0.33045 -9,1995,735.7133690300001,0.45885 -10,1996,755.2504494299999,0.3364 -11,1997,757.61242168,0.49935 -12,1998,762.7462712700001,0.6372 -13,1999,778.79089901,0.43189999999999995 -14,2000,804.7252746099999,0.42310000000000003 -15,2001,811.80701135,0.5486500000000001 -16,2002,829.34881679,0.61615 -17,2003,859.61427105,0.6167 -18,2004,900.4758117399999,0.56415 -19,2005,930.27000605,0.67425 -20,2006,959.88344536,0.6212500000000001 -21,2007,986.18212406,0.635 -22,2008,999.3944810400001,0.54095 -23,2009,988.62649988,0.63835 -24,2010,1047.4502239199999,0.7057 -25,2011,1077.4032941899998,0.5893999999999999 -26,2012,1101.69681085,0.627 -27,2013,1123.5412316200002,0.65895 -28,2014,1134.05925845,0.7404 -29,2015,1140.1230558,0.8849 -30,2016,1147.90165134,0.96315 +Year,Consumption,Temperature Delta +1986,649.0688031799999,0.2098 +1987,669.18653258,0.3498 +1988,695.27090463,0.39285 +1989,704.71529439,0.2935 +1990,717.9190910299999,0.4364 +1991,704.5288543999999,0.41775 +1992,702.1488570199999,0.24355 +1993,707.9465134499999,0.26265 +1994,715.7659943699999,0.33045 +1995,735.7133690300001,0.45885 +1996,755.2504494299999,0.3364 +1997,757.61242168,0.49935 +1998,762.7462712700001,0.6372 +1999,778.79089901,0.43189999999999995 +2000,804.7252746099999,0.42310000000000003 +2001,811.80701135,0.5486500000000001 +2002,829.34881679,0.61615 +2003,859.61427105,0.6167 +2004,900.4758117399999,0.56415 +2005,930.27000605,0.67425 +2006,959.88344536,0.6212500000000001 +2007,986.18212406,0.635 +2008,999.3944810400001,0.54095 +2009,988.62649988,0.63835 +2010,1047.4502239199999,0.7057 +2011,1077.4032941899998,0.5893999999999999 +2012,1101.69681085,0.627 +2013,1123.5412316200002,0.65895 +2014,1134.05925845,0.7404 +2015,1140.1230558,0.8849 +2016,1147.90165134,0.96315 diff --git a/Cleaned Data/population_density_clean.csv b/Cleaned Data/population_density_clean.csv index 3ea15a4..00f6bf6 100644 --- a/Cleaned Data/population_density_clean.csv +++ b/Cleaned Data/population_density_clean.csv @@ -1,251 +1,251 @@ Country Name,Country Code,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016 -Aruba,ABW,348.0222222,343.5166667,339.3277778,339.0666667,345.2722222,359.0111111,379.0833333,402.8,426.1111111000001,446.2444444,462.22222220000003,474.7277778,484.8722222,494.47222220000003,504.73888889999995,516.1,527.7333333,538.9833332999999,548.5388889,555.7277778,560.1888888999999,562.3444444,563.1,563.6388889,564.8277778,566.9222222,569.7777778,573.1055556,576.5222222,579.6722222,582.6222222 -Afghanistan,AFG,17.97656312,17.77491958,17.79555341,18.17981956,19.01220476,20.37039641,22.18782894,24.22663818,26.15526606,27.74049107,28.87822351,29.64973501,30.23276813,30.89612474,31.82911038,33.09589805,34.61809576,36.27251019,37.87440493,39.2952195,40.48808167,41.51048617,42.46281898,43.49295867,44.70408204,46.13150293,47.73056398,49.42803817,51.11477805,52.71207149999999,54.19711424 -Angola,AGO,8.277942568,8.574035454,8.877877597000001,9.188078126,9.503798828999999,9.825058956,10.15269592,10.4877268,10.83159301,11.18569503,11.55107002,11.92874789,12.32020614,12.72709473,13.1510973,13.59248656,14.05263255,14.53555707,15.04623807,15.58803401,16.16259004,16.7685594,17.40244967,18.05910083,18.73445576,19.42781824,20.13951311,20.86771477,21.61047485,22.3665525,23.13506377 -Albania,ALB,110.315146,112.54032849999999,114.6837956,117.80813870000001,119.9467883,119.22591240000001,118.505073,117.78419709999999,117.06335770000001,116.3424818,115.62164229999999,114.90076640000001,114.179927,113.4590511,112.73821170000001,111.685146,111.3507299,110.93489050000001,110.4722263,109.90828470000001,109.21704380000001,108.39478100000001,107.5662044,106.8437591,106.31463500000001,106.0290146,105.85405109999999,105.660292,105.44175179999999,105.13514599999999,104.9671898 -Andorra,AND,98.97234043,103.0957447,107.30638300000001,111.59148940000001,115.97659569999999,120.5765957,125.293617,129.72553190000002,133.35531909999997,135.8510638,136.9361702,136.8659574,136.4723404,136.9574468,139.1276596,143.27872340000002,149.0404255,155.70638300000002,162.22127659999998,167.80212769999997,172.32553190000002,175.92340430000002,178.4297872,179.70851059999998,179.67872340000002,178.1851064,175.3765957,171.8595745,168.5382979,165.9808511,164.4617021 -Arab World,ARB,17.5639451,18.07543765,18.59208195,19.11402885,19.81710976,20.35810572,20.73408239,21.29364339,21.84601632,22.52759943,23.05215999,23.57027407,24.08236969,24.60019887,25.12980178,25.67165986,26.22642469,26.80081193,27.40153442,28.033712199999997,28.69994022,29.39750649,30.11888656,30.85858053,31.59402067,32.3301223,33.06766985,33.80378527,34.53397836,35.25689695,35.96876451 -United Arab Emirates,ARE,20.36581245,21.59301605,22.90996902,24.29852154,25.74531118,27.27616164,28.90581526,30.59897212,32.30618136,34.00577302,35.75226697,37.61422135,39.6115742,41.76336243,44.12928752,46.50406928,48.98306111,52.26600957,57.28766545,64.60468882,74.62931569,86.86057449,99.82381019,111.48087859999998,120.38845400000001,125.97545759999998,128.7186145,129.511546,129.740566,130.4266404,131.8076598 -Argentina,ARG,11.21755259,11.39493878,11.57198989,11.74708644,11.91901567,12.08722946,12.2517808,12.41284581,12.57090573,12.72638479,12.87919859,13.02940011,13.17776548,13.325301000000001,13.4727671,13.62070677,13.76909661,13.91749449,14.06515608,14.21166848,14.35671486,14.50083678,14.6454878,14.79261005,14.90430155,15.0771516,15.2495427,15.42116023,15.59164538,15.76063274,15.92813508 -Armenia,ARM,119.1522304,121.2485774,123.1000702,124.2175623,124.2771689,123.12110990000002,120.927889,118.12813490000002,115.3377942,113.0083597,111.2827889,110.0487882,109.1916754,108.50094840000001,107.81844050000001,107.1544433,106.56754479999998,106.00393400000002,105.39936780000001,104.7161574,103.90962420000001,103.0073059,102.12918859999999,101.4433439,101.06494559999999,101.03751319999999,101.30765720000001,101.7767475,102.2972603,102.75915,103.1312259 +Aruba,ABW,348.022222222222,343.516666666667,339.327777777778,339.066666666667,345.272222222222,359.011111111111,379.083333333333,402.8,426.111111111111,446.24444444444396,462.222222222222,474.727777777778,484.872222222222,494.472222222222,504.738888888889,516.1,527.733333333333,538.983333333333,548.538888888889,555.727777777778,560.188888888889,562.344444444444,563.1,563.638888888889,564.827777777778,566.922222222222,569.777777777778,573.1055555555561,576.522222222222,579.672222222222,582.622222222222 +Afghanistan,AFG,17.976563122262,17.774919584597,17.7955534111448,18.179819563152897,19.0122047605919,20.3703964096437,22.187828937291304,24.226638176638197,26.1552660601048,27.740491070061,28.8782235088687,29.649735012100603,30.232768127929397,30.896124743436605,31.8291103758846,33.0958980485862,34.6180957632571,36.272510185951,37.874404926017796,39.2952194957571,40.488081671415,41.5104861685507,42.4628189810986,43.492958674141505,44.7040820390283,46.1315029255889,47.73056398002629,49.42803817051129,51.114778053487704,52.7120715007812,54.197114235823896 +Angola,AGO,8.277942568380519,8.574035453597501,8.877877596855699,9.18807812625331,9.503798828908321,9.8250589556429,10.1526959172215,10.4877267987487,10.831593005534598,11.185695034892099,11.551070024865599,11.928747894441301,12.3202061442207,12.7270947300874,13.151097296863698,13.592486564530402,14.0526325499318,14.535557070666599,15.0462380685008,15.5880340097858,16.1625900376995,16.7685593968076,17.4024496671212,18.0591008261811,18.7344557632149,19.427818240154,20.139513114622602,20.8677147669848,21.6104748536135,22.366552498596302,23.1350637683484 +Albania,ALB,110.315145985401,112.540328467153,114.683795620438,117.808138686131,119.946788321168,119.225912408759,118.505072992701,117.784197080292,117.063357664234,116.342481751825,115.621642335766,114.90076642335801,114.179927007299,113.459051094891,112.738211678832,111.68514598540101,111.35072992700701,110.934890510949,110.472226277372,109.908284671533,109.21704379562,108.394781021898,107.566204379562,106.843759124088,106.31463503649599,106.02901459854,105.85405109489099,105.66029197080299,105.441751824818,105.135145985401,104.967189781022 +Andorra,AND,98.9723404255319,103.095744680851,107.306382978723,111.591489361702,115.97659574468099,120.576595744681,125.29361702127702,129.72553191489402,133.35531914893602,135.851063829787,136.936170212766,136.865957446809,136.472340425532,136.957446808511,139.127659574468,143.278723404255,149.040425531915,155.70638297872298,162.221276595745,167.80212765957398,172.325531914894,175.92340425531899,178.429787234043,179.708510638298,179.67872340425498,178.185106382979,175.37659574468103,171.859574468085,168.53829787234,165.98085106383002,164.46170212766 +Arab World,ARB,17.5639451016904,18.0754376496682,18.592081945098897,19.114028850287102,19.8171097611641,20.3581057247267,20.734082386223896,21.2936433857055,21.8460163209286,22.5275994306427,23.052159992669,23.570274073024997,24.082369692673996,24.600198870741895,25.1298017849485,25.671659858748,26.2264246915316,26.8008119265305,27.4015344217652,28.0337121972877,28.6999402151172,29.3975064907483,30.1188865561056,30.8585805304216,31.594020665956897,32.330122298588904,33.067669850813395,33.8037852666541,34.5339783638239,35.256896947026604,35.968764505436795 +United Arab Emirates,ARE,20.365812447198,21.593016051816395,22.9099690228105,24.298521543227302,25.745311179949304,27.2761616446072,28.905815263306103,30.5989721205294,32.3061813573641,34.005773021684,35.752266967051504,37.614221346099704,39.611574204449504,41.7633624331174,44.129287524640894,46.5040692762602,48.983061109546604,52.2660095747677,57.2876654463531,64.60468882005071,74.62931568572229,86.8605744860603,99.8238101943115,111.480878625739,120.388453956632,125.975457617573,128.718614474796,129.51154604336799,129.740566037736,130.426640382991,131.807659814137 +Argentina,ARG,11.2175525909036,11.394938776405098,11.5719898855917,11.747086443842699,11.9190156722172,12.087229463329802,12.2517808008945,12.4128458100844,12.5709057291838,12.7263847933087,12.879198593921899,13.0294001147371,13.177765475811999,13.325301002305698,13.4727671018639,13.620706766203,13.769096609407699,13.9174944915208,14.065156082713099,14.211668475421,14.3567148635761,14.5008367772747,14.645487797302598,14.7926100508278,14.904301546759,15.0771515955406,15.2495426957383,15.421160233713,15.5916453818299,15.760632735165501,15.928135082892098 +Armenia,ARM,119.15223041798401,121.24857744994699,123.100070249385,124.217562346329,124.27716894977199,123.121109940288,120.927889005971,118.12813487882,115.33779416930099,113.008359676853,111.282788900597,110.04878819810301,109.19167544784,108.500948366702,107.818440463646,107.15444327362101,106.567544783983,106.003933965578,105.399367755532,104.71615735862301,103.909624165789,103.007305936073,102.12918861959999,101.443343870741,101.064945556726,101.03751317176001,101.30765718299999,101.77674745346,102.29726027397301,102.75914998243799,103.131225851774 American Samoa,ASM,205.595,213.7,221.715,229.47,236.735,243.425,249.48,255.1,260.475,265.805,271.055,276.105,280.855,285.265,289.105,292.47,295.4,297.52,298.405,297.81,295.535,291.825,287.46,283.415,280.395,278.795,278.335,278.565,278.955,279.06,278.705 -Antigua and Barbuda,ATG,140.35,140.2659091,140.3886364,140.9272727,142.1090909,144.0159091,146.525,149.49318180000003,152.7363636,156.06818180000002,159.4840909,162.9636364,166.4181818,169.7136364,172.7636364,175.4818182,177.94318180000002,180.2272727,182.5818182,185.1477273,187.9636364,190.96818180000002,194.0840909,197.15,200.0636364,202.8477273,205.475,207.9909091,210.3681818,212.65,214.8340909 -Australia,AUS,2.085104721,2.117061297,2.151985733,2.188719524,2.22135298,2.249847051,2.2773127840000003,2.2997019119999997,2.32417375,2.352420499,2.383530974,2.41034586,2.435598714,2.463585124,2.4931335669999997,2.526977598,2.558009971,2.589771292,2.6199705819999997,2.654777866,2.694232196,2.7111151610000004,2.7659945589999997,2.823594496,2.867858584,2.90798641,2.95920037,3.0105735260000004,3.055814795,3.100112596,3.1449355310000002 -Austria,AUT,91.66619036,91.72421894,91.85416566,92.26891499,92.97469121,93.90761686,94.94682732,95.73302252,96.10217970000001,96.24943085,96.37947445,96.4887503,96.59468394,96.78280455,97.01581497,97.38790264,97.86821264,98.34612497,98.95817389,99.63464519,100.1288569,100.456383,100.77134579999999,101.0356656,101.2874302,101.6417364,102.11486540000001,102.7471302,103.56332420000001,104.73079270000001,105.86949340000001 -Azerbaijan,AZE,81.45720225,82.83750916,84.23792014,85.64212841,86.02809522,87.37397407,88.70783406,90.06572965,91.29144071,92.34891692,93.28622538,94.19048771,95.23178903,96.52076658,97.43477998,98.19378742,98.91246693,99.62372121,100.4753702,101.52250179999999,102.6725292,103.8533638,106.05976000000001,108.2912879,109.54234939999999,110.9763389,112.4607929,113.9234754,115.34881659999999,116.73107949999999,118.033289 -Burundi,BDI,190.29373049999998,195.76082549999998,201.2732866,206.6615654,211.797391,216.70272590000002,221.4005062,225.7808801,229.71055299999998,233.1403037,235.98563080000002,238.4007009,240.87079440000002,244.0468847,248.3984034,254.11000780000003,261.0635903,269.048053,277.7139019,286.79369160000005,296.2558022,306.1609813,316.4369938,327.0119938,337.8349688,348.84758569999997,360.0462617,371.506581,383.3448988,395.6397975,408.4111371 -Benin,BEN,39.06089039,40.22049486,41.44068819,42.74579638,44.15125931,45.66778113,47.28452465,48.9691646,50.67594892,52.37280951,54.04628414,55.70804363,57.38085314,59.09984037,60.88995211,62.75924973,64.69842143,66.69523767,68.73008159,70.78950869,72.87067222,74.98042746,77.12771373,79.32518624,81.58264455,83.90235899,86.28279532,88.72461866,91.22775807,93.79169918,96.41776339 -Burkina Faso,BFA,28.98645468,29.7517288,30.54205044,31.35900219,32.20407164,33.0777924,33.98067617,34.91402047,35.87934211,36.87820906,37.91207968,38.98225877,40.090365500000004,41.23794225,42.4266886,43.65711623,44.93092105,46.25226974,47.62634868,49.0567617,50.54523392,52.09072003,53.69051535,55.34027047,57.03661184,58.77891447,60.56741959,62.40049342,64.27637792,66.19380117,68.15196637 -Bangladesh,BGD,715.8915495,734.9709073,754.2932319,773.5691557,792.5939617,811.2401245,829.5590688999999,847.7424829,866.0803795,884.7655374,903.8175617,923.1048936000001,942.4814857000001,961.7396558,980.7010370999999,999.3754475,1017.7313210000001,1035.5043640000001,1052.365614,1068.107129,1082.5932779999998,1095.954337,1108.582369,1121.032473,1133.713068,1146.760221,1160.081486,1173.578213,1187.0643539999999,1200.4015980000001,1213.573327 -Bulgaria,BGR,80.9741571,81.09336527,81.18454307,80.24018801,78.80583024,78.02916929999999,77.19573353,76.58241887,76.32279671,75.98361204,75.59275061,75.13394197,74.63424026,74.2169755,73.85132423,72.3957516,72.03272978,71.48411327,70.95310776,70.4986377,69.97166529,69.47185342,68.98592211,68.57445652,68.12453021,67.68909359,67.2981577,66.92257738,66.54327561,66.120035,65.65790346 -Bahrain,BHR,628.2318841,650.6826087000001,674.2,697.2275362,718.7405797,738.7826087000001,736.7408451,755.2253521,774.0605634,793.9394366,815.0225352000001,837.9309859,864.3661972000001,896.5366197000001,936.0718310000001,982.4577465,1035.416901,1081.5388890000002,1136.772603,1201.572973,1295.159459,1381.225333,1466.632895,1559.310526,1628.425262,1666.42901,1688.237662,1707.82987,1732.911837,1763.3045579999998,1832.636175 -"Bahamas, The",BHS,23.87782218,24.302797199999997,24.72037962,25.14815185,25.596703299999998,26.07472527,26.57632368,27.07982018,27.55704296,27.99040959,28.36943057,28.70709291,29.03066933,29.37682318,29.77532468,30.23156843,30.73526474,31.28161838,31.85754246,32.45344655,33.07022977,33.70519481,34.33376623,34.92547453,35.45874126,35.92177822,36.32207792,36.68011988,37.02627373,37.38321678,37.75534466 -Bosnia and Herzegovina,BIH,86.63900391,87.49060547,88.07541016,88.0434375,87.17623047,85.33826172,82.68898438,79.66673828,76.88523438,74.78613281,73.52392578,72.97011719,72.93626953,73.11238281,73.26515625,73.34984375,73.42552734,73.47994141,73.51941406,73.54162109,73.5434375,73.49191406,73.32560547,72.96753906,72.3725,71.50732422,70.40960938,69.19150391,68.00984375,66.97970703,66.13802734 -Belarus,BLR,49.51193059,49.84717018,49.99014001,50.13803983,50.23170972,50.25635969,50.36481956,50.47820943,50.4190495,50.25635969,50.08873989,49.87675015,49.64011043,49.43175902,49.19941826,48.94768783,48.6394912,48.30029581,47.97665796,47.64539269,47.33821587,47.1215032,46.95901922,46.87291687,46.77468211,46.686570399999994,46.6438076,46.65166793,46.67867468,46.75194176,46.8083514 -Belize,BLZ,7.433932486000001,7.642262166,7.848662867000001,8.043358176,8.222358615,8.37913196,8.519245945,8.663831652999999,8.841736081,9.073345024,9.367119684,9.714160456,10.09399386,10.4773345,10.84239369,11.18206927,11.50276195,11.81170539,12.12205173,12.44191144,12.77198597,13.10938185,13.45124945,13.79460763,14.13695747,14.47772907,14.81806225,15.156291099999999,15.49171416,15.82345463,16.15081105 -Bermuda,BMU,1062.6296109999998,1071.277759,1080.4999810000002,1089.648129,1098.62961,1092.981462,1085.0925730000001,1090.925907,1098.518499,1106.407388,1113.49998,1120.314795,1128.574054,1134.907387,1145.055535,1157.4814609999999,1165.037016,1172.685164,1180.37035,1188.037016,1194.870349,1201.629608,1208.759238,1215.48146,1205.999979,1195.629609,1199.9629419999999,1203.722201,1206.259238,1208.0925710000001,1195.4444230000001 -Bolivia,BOL,5.823991507000001,5.947411613,6.0743210560000005,6.204297055,6.336972215,6.47230961,6.610283393,6.750530786000001,6.892636389,7.036220807,7.181082803,7.327109757000001,7.474163205,7.622141603999999,7.770944337,7.92046063,8.07053817,8.221012647,8.371678205,8.522390843,8.672986246,8.823445952,8.973925967000001,9.124693991000001,9.275906951,9.427632235,9.57968799,9.731723438,9.883242869,10.03390566,10.18352534 -Brazil,BRA,16.52388115,16.85681288,17.18414659,17.50728081,17.8273184,18.143751,18.45618523,18.76602665,19.07514303,19.384683199999998,19.69513408,20.00553233,20.313760000000002,20.61686871,20.91258821,21.20041708,21.48055907,21.7523571,22.01524275,22.26896211,22.51306583,22.7479371,22.97525071,23.19732716,23.41593165,23.63139813,23.84349819,24.05270826,24.25943272,24.46378847,24.66614079 -Barbados,BRB,597.9232557999999,600.0441860000001,602.2720929999999,604.5511627999999,606.827907,609.0813952999999,611.3627907,613.6604651,616.0302326000001,618.5,621.0441860000001,623.6906977000001,626.3627907,628.9558139999999,631.4302326000001,633.7209302,635.872093,637.9744186,640.1953488,642.6116279,645.2953487999999,648.1395349,651.0372093,653.7302326,656.1186047,658.1093023,659.7674419,661.1534884,662.3837209,663.5441860000001,664.6418605 -Brunei Darussalam,BRN,43.81688805,45.07836812,46.37647059,47.71499051,49.09316888,50.5142315,51.97191651,53.44990512,54.92485769,56.37836812,57.80303605,59.19506641,60.55863378,61.89943074,63.21916509,64.52258065,65.80303605,67.03851992,68.20360531,69.28159393,70.25863378,71.15085389,71.99639469,72.84743833,73.74686907,74.70360531,75.70948767,76.7402277,77.75502846,78.72998102,79.65844402 -Bhutan,BTN,10.24531858,10.57962932,10.90555019,11.17605937,11.36065797,11.44258764,11.44010492,11.39901167,13.36424623,13.43266332,13.60464824,13.86203518,14.18032663,14.51962312,14.84977387,15.16683417,15.4778392,15.77484925,16.759320199999998,17.01967648,17.24716028,17.44303089,17.61977618,17.79581312,17.98418052,18.18868245,18.40603954,18.63310358,18.86444393,19.09583675,19.31388997 -Botswana,BWA,1.960268558,2.037841653,2.117528629,2.195902811,2.2704921209999998,2.340306672,2.406002859,2.468741729,2.5304095419999997,2.592370264,2.655109135,2.718093272,2.7805551139999998,2.841324793,2.899677095,2.954983855,3.007855593,3.0603603130000003,3.115287703,3.1744887339999996,3.239475588,3.309263671,3.380161629,3.446964163,3.5062640060000003,3.5561943080000002,3.598805428,3.6393626589999997,3.685377517,3.742021774,3.81123992 -Central African Republic,CAF,4.1698947,4.24867572,4.324333043999999,4.407419179,4.505335645,4.620548011,4.75013002,4.8896417219999995,5.0322883560000005,5.172968635,5.310335805,5.445497447999999,5.57881794,5.711281261,5.843569617000001,5.974538507999999,6.103130117,6.230025041,6.356343702999999,6.482362195,6.610274808,6.738595139,6.859555684,6.962703457999999,7.04158721,7.09274134,7.121279977,7.139782979,7.165839995,7.21238242,7.283840572999999 -Canada,CAN,2.870209413,2.908294047,2.946249248,2.9995877280000003,3.045153961,3.0832340869999997,3.119946423,3.15442156,3.1891605110000003,3.2223323010000002,3.256192383,3.288713379,3.316120288,3.343184975,3.3744648660000003,3.41132324,3.448622039,3.479847496,3.512467133,3.5457983769999997,3.5818043860000004,3.616757996,3.656136959,3.6981204180000002,3.7394679280000003,3.776245696,3.8174722410000004,3.85802116,3.897002917,3.926196595,3.970907493 -Central Europe and the Baltics,CEB,99.31414707,99.74121155,100.09507909999999,100.2887695,100.23580909999998,99.97815892,99.6541464,99.59212101,99.56921589,99.42861607,99.20419771,99.02390838,98.85858402,98.69715721,98.14851168,97.4355446,96.94828890000001,96.64323968,96.36418959,96.11461661,95.87301669,95.52565835,95.18479017,94.91758061,94.57074958,94.34447603,94.14450621,93.85237553,93.65661503,93.44143340000001,93.20293657 -Switzerland,CHE,164.5405692,165.5773271,166.7987089,168.1528034,169.88841519999997,172.02504919999998,173.9321554,175.5234175,176.928209,178.1144773,178.9073546,179.3433877,179.88161780000001,180.74613540000001,181.76930919999998,182.92776130000001,184.32146880000002,185.6987632,186.98443830000002,188.19563,189.3851783,191.0901107,193.53362719999998,195.9669706,198.018747,200.2327615,202.3701995,204.7106438,207.2236258,209.59600659999998,211.8974034 -Channel Islands,CHI,683.0757838999999,690.7171983,698.2070976,704.9141686,710.4596232999999,714.4798255,717.2020478,719.2677045,721.5303307999999,724.6666946,728.9646746000001,734.207099,739.8889174,745.2273014,749.7121501,753.0151804999999,755.5353826,757.9192211,761.1919485000001,766.0505346,772.7677065,780.9899291,790.065687,798.8788187000001,806.7374047999999,813.1212435,818.464678,823.4242742,828.7879107000001,835.2778099999999,843.0454869999999 -Chile,CHL,16.73878525,17.00387269,17.27929324,17.56314113,17.85346487,18.15020394,18.4522232,18.754991600000004,19.05276357,19.34128645,19.61902028,19.88646,20.14403196,20.39293448,20.63442105,20.86811643,21.094463100000002,21.316703699999998,21.53904651,21.76465884,21.99569529,22.23198774,22.47147036,22.71077141,22.94795017,23.17798733,23.40228298,23.63248154,23.88459172,24.16755734,24.48995771 -China,CHN,113.6303358,115.46720630000002,117.3413575,119.15426200000002,120.9155061,122.576625,124.08808880000001,125.522861,126.9496445,128.3366211,129.6889829,131.02310020000002,132.2863841,133.4367607,134.492481,135.47304619999997,136.3837807,137.23592219999998,138.0534367,138.867765,139.6453451,140.37659069999998,141.09770780000002,141.8012404,142.4877396,143.1721085,143.8713898,144.583453,145.3173521,146.05764219999998,146.85067759999998 -Cote d'Ivoire,CIV,32.41283333,33.6421195,34.88914465,36.17122327,37.49961321,38.87549371,40.29063208,41.73472642,43.19318553,44.65333962,46.11675157,47.58070126,49.02331447,50.41689623,51.74423899,52.99693711,54.18722956,55.34468553,56.51098742,57.71859748,58.97772327,60.28690881,61.6527327,63.07907862,64.56902516,66.12784591,67.75845283,69.45756289,71.21912893,73.03818553,74.91419497 -Cameroon,CMR,21.99124199,22.70115716,23.42963339,24.1708447,24.92032747,25.67729052,26.44221404,27.21349242,27.989642699999997,28.77025661,29.55472277,30.345135499999998,31.14757039,31.97011275,32.81915974,33.69700239,34.60388399,35.54158998,36.511438299999995,37.51435341,38.55148823,39.62319816,40.72828161,41.86481987,43.03112056,44.22666751,45.45126187,46.70368302,47.98260667,49.28681009,50.61568192 -"Congo, Dem. Rep.",COD,13.53471207,13.90737214,14.31101255,14.761370499999998,15.26742816,15.83919367,16.46805937,17.12173706,17.75566265,18.33935467,18.86029995,19.33225116,19.78340442,20.25522728,20.77846805,21.36192188,21.99848526,22.68391963,23.40878234,24.166164399999996,24.95667806,25.78402902,26.64749123,27.54618292,28.47923689,29.44582299,30.44518074,31.47650339,32.538959000000006,33.63161112,34.75403145 -"Congo, Rep.",COG,6.185537335,6.358187407999999,6.534304539,6.714980966000001,6.901133236000001,7.093133236,7.291221083,7.495967789,7.70818448,7.9283660320000005,8.157569546,8.3961347,8.643183016,8.897314788,9.157865300000001,9.422937042000001,9.693666179,9.976345534,10.279554899999999,10.60841874,10.96673792,11.35027526,11.74666471,12.13877306,12.51458565,12.86923572,13.20702196,13.53663543,13.87108053,14.21989751,14.58564861 -Colombia,COL,27.55518522,28.11664083,28.681861199999997,29.25416764,29.83557909,30.426621899999997,31.02529878,31.62800811,32.22981433,32.8268932,33.41720324,34.00072105,34.57801622,35.15049211,35.71876341,36.28298062,36.841243799999994,37.38969716,37.92334836,38.4386868,38.93726634,39.42092474,39.88731411,40.33353222,40.75953132,41.15646598,41.5293808,41.90830735,42.33367192,42.83070482,43.41720775 -Comoros,COM,196.5394884,202.3933303,208.4701705,214.7404551,221.1681819,227.7657099,234.52336680000002,241.4153602,248.4024636,255.4508245,262.5615175,269.72218349999997,276.9398082,284.17409060000006,291.4330909,298.7039128,306.0069755,313.3858038,320.9177756,328.6550134,336.606652,344.7716168,353.1590427,361.76892960000004,370.6028895,379.6716694,388.9688212,398.4443717,408.0547959,417.7452845,427.50777750000003 -Cabo Verde,CPV,78.56476427,79.68610422,80.83027295,82.17841191,83.85856079,85.91315136,88.27717122,90.83200993,93.40124069,95.85210918,98.1471464,100.3124069,102.360794,104.33052109999998,106.2501241,108.11637720000002,109.91339950000001,111.64516129999998,113.3044665,114.89627790000002,116.4193548,117.8808933,119.3156328,120.7620347,122.2466501,123.78560790000002,125.36848640000001,126.98461540000001,128.60272949999998,130.2091811,131.7980149 -Costa Rica,CRI,55.03803369,56.49923619,57.98920877,59.51846847,61.09347826,62.71220133,64.3658441,66.04578927,67.74057971,69.43858206,71.13909127,72.83488053,74.49837446,76.09537799,77.60227184,79.00654132,80.31580494,81.55215433,82.74882491,83.93070897,85.10403447,86.26376812,87.40942029,88.53779867,89.64704269,90.73807286,91.81355268,92.87322758,93.9168821,94.94328241,95.9527027 -Caribbean small states,CSS,14.46324071,14.56052118,14.64784241,14.73883661,14.84315425,14.96432753,15.09896258,15.24107941,15.38183278,15.51485735,15.63858219,15.75534642,15.86717797,15.97746326,16.08863777,16.20129925,16.314598,16.42823515,16.54181302,16.65485241,16.76700753,16.87882673,16.99142398,17.10621712,17.22417192,17.34565148,17.46984068,17.59499074,17.71874768,17.83922934,17.95575151 -Cuba,CUB,94.82215084,95.77879888,96.81108939,97.80234637,98.66840782,99.38121043,99.9663594,100.4590875,100.91677840000001,101.3803724,101.8556145,102.32525140000001,102.78111729999999,103.2092179,103.5980447,103.9540689,105.2697716,105.53743419999999,105.7265764,105.8021608,105.8089636,105.7038895,105.57094140000001,105.47453030000001,105.4662909,105.150241,105.75111640000002,108.25868359999998,108.6993078,108.87118819999999,108.97047679999999 -Curacao,CUW,343.8333333,341.11711710000003,336.1576577,330.9391892,327.47747749999996,325.23198199999996,324.1261261,324.9977477,325.7432432,326.8896396,329.51801800000004,330.98198199999996,325.38738739999997,314.027027,301.4864865,290.64639639999996,291.0022523,297.0653153,302.23423419999995,310.04054049999996,318.1058559,324.4504505,328.5585586,330.704955,334.9166667,339.70945950000004,342.54054049999996,346.44594589999997,351.14639639999996,355.8108108,359.60360360000004 -Cayman Islands,CYM,85.125,89.76666667,94.8375,100.1625,105.46666670000002,110.6,115.75,121.12083329999999,127.14166670000002,134.025,141.9375,150.65,159.7041667,168.41666669999998,176.2625,183.0625,188.9625,194.3,199.5916667,205.25416669999998,211.41666669999998,217.83333330000002,224.31666669999998,230.5083333,236.1333333,241.1583333,245.6583333,249.7166667,253.5333333,257.1833333,260.7041667 -Cyprus,CYP,77.09307359,78.28744589,79.70497835,81.28214286,82.96699134,84.75367965,86.64621212,88.60887446,90.59632035,92.57391775,94.52629870000001,96.4491342,98.34437229,100.2214286,102.0876623,103.925974,105.73203459999999,107.5284632,109.3515152,111.2188312,113.15010819999999,115.1204545,117.05227269999999,118.84015149999999,120.4125541,121.7351732,122.84047620000001,123.7950216,124.70616880000001,125.6477273,126.64361470000001 -Czech Republic,CZE,133.8453087,133.9111945,134.014184,134.08914199999998,133.7304905,133.40983559999998,133.5463052,133.68519479999998,133.7334929,133.6515206,133.4960657,133.35228419999999,133.2259997,133.0899444,132.7172641,132.2195548,131.964747,131.9269833,131.98422209999998,132.1669169,132.5424595,133.3181618,134.4285178,135.1965825,135.6086225,135.8892802,136.0971773,136.15995859999998,136.30338,136.58928899999998,136.8341362 -Germany,DEU,222.6117377,222.9539713,223.82670919999998,225.56435430000002,227.5170538,229.18080940000002,230.93002030000002,232.4597932,233.2741772,233.96749069999996,234.65247069999998,235.0229795,235.0787777,235.25773109999997,235.59681329999998,236.02730010000002,236.4515708,236.6164273,236.59219539999998,236.46468059999998,236.22519790000004,235.94336189999999,235.52217819999996,234.93963739999998,234.6069082,230.3046333,230.75062549999998,231.15571260000002,232.1080539,234.15366859999997,235.71292940000004 -Djibouti,DJI,19.60142364,21.15314927,22.82135462,24.32545298,25.47014668,26.17963762,26.53382226,26.682269199999997,26.84926661,27.19534081,27.76764452,28.51005177,29.35560828,30.19736842,30.95703192,31.62273512,32.22355479,32.77139776,33.28744607,33.79007765,34.27795513,34.74767041,35.21820535,35.71281277,36.24667817,36.82804142,37.45194133,38.10582399,38.77031924,39.43024159,40.0824849 -Dominica,DMA,96.71066667,95.78933333,94.944,94.29733333,93.89200000000001,93.83200000000001,94.05866667,94.44133333,94.72399999999999,94.79733333,94.58133333,94.132,93.58,93.11333333,92.86666667,92.88133333,93.116,93.46666667,93.84266667,94.11866667,94.29066667,94.39333333,94.436,94.46799999999999,94.50399999999999,94.55466667,94.62,94.68799999999999,94.78,94.91066667,95.07600000000001 -Denmark,DNK,120.8243039,120.948903,121.00769050000001,121.080302,121.2771644,121.5923095,121.8800377,122.28677820000001,122.70044779999999,123.34133870000001,124.04133870000001,124.55788359999998,125.01105349999999,125.42538300000001,125.8452981,126.2970304,126.7011784,127.04628799999999,127.3750412,127.72641999999999,128.1468772,128.7164271,129.47492340000002,130.16957340000002,130.74906909999999,131.2885223,133.1643725,133.7206954,134.4004525,135.3532508,136.4136699 -Dominican Republic,DOM,136.554792,139.3072449,142.0708135,144.85381909999998,147.6608156,150.49490790000002,153.35007240000002,156.2091285,159.05003100000002,161.8556614,164.6193956,167.34438,170.03572759999997,172.7030221,175.3533637,177.9880149,180.6039122,183.19844750000001,185.76783269999999,188.3100186,190.82355619999998,193.3111364,195.7788243,198.23508590000003,200.68559299999998,203.1299938,205.56636310000002,207.9947009,210.41560750000002,212.8271579,215.22962119999997 -Algeria,DZA,9.699794687999999,9.981897267999999,10.26286119,10.5411128,10.81514733,11.08453442,11.34814295,11.603078,11.84586647,12.07427553,12.28782529,12.48792018,12.67676321,12.85757723,13.03342724,13.20526758,13.37472142,13.54646477,13.72616784,13.91827991,14.12454844,14.34538279,14.58203162,14.8353225,15.10553419,15.39271457,15.69604029,16.01355815,16.34254243,16.68025267,17.02595749 -East Asia & Pacific (excluding high income),EAP,94.19020016,95.85161748,97.53249172,99.17219164,100.7744392,102.30339090000001,103.7407705,105.1251291,106.49893540000001,107.8447878,109.1661956,110.472007,111.7299256,112.9133426,114.13525940000001,115.20120130000001,116.22209129999999,117.2011716,118.15193329999998,119.09663400000001,120.0142588,120.90158490000002,121.78537709999999,122.66269040000002,123.53878049999999,124.4234023,125.32658909999998,126.2402085,127.1624625,128.07945690000003,129.01664509999998 -Early-demographic dividend,EAR,55.74087852,57.09281464,58.44875532,59.80285334,61.21583747,62.56004818,63.89335579,65.22010641,66.56139886,67.896244,69.24158119,70.59355762,72.00578015,73.34911757,74.68467248,76.00779678,77.31974046,78.62486518,79.93344944,81.2416462,82.55468376,83.87269926,85.19353142,86.51090572,87.82843732,89.14254942,90.43969742,91.73099313,93.02087563,94.30297346,95.57842879 -East Asia & Pacific,EAS,70.12210298,71.27327792,72.4354946,73.57194465,74.67989582,75.74106832,76.73519553,77.69482728,78.65632003,79.60164811,80.5328832,81.4413845,82.31795655,83.13530581,83.96320711,84.71136814,85.4213783,86.09615153,86.74669386,87.39011606,88.02917554,88.64563503,89.27489371,89.88730961,90.49466546,91.10097484,91.72209178,92.34634236,92.97925277,93.60959422,94.21280672 -Europe & Central Asia (excluding high income),ECA,15.558118400000001,15.72032812,15.87660466,16.01652037,16.11739205,16.21823299,16.302836300000003,16.36675951,16.40567203,16.42533461,16.44465095,16.46298907,16.47381505,16.46900948,16.47973692,16.48216972,16.48739587,16.50163952,16.52314456,16.54757508,16.58087454,16.6263661,16.69039728,16.77637483,16.87282577,16.97683566,17.08153337,17.19668832,17.3124313,17.43008609,17.54505257 -Europe & Central Asia,ECS,30.06301123,30.24705095,30.43157861,30.61125118,30.76045734,30.90207434,31.02922752,31.14478694,31.22736299,31.28411833,31.33445906,31.30291222,31.34141242,31.370908899999996,31.37742336,31.41802167,31.47670957,31.55913592,31.65353162,31.75010989,31.85347245,31.96835658,32.09860492,32.23029921,32.35461712,32.43624544,32.57230658,32.72646142,32.88625862,33.04365467,33.19610012 -Ecuador,ECU,33.56622598,34.39661899,35.23905144,36.09258055,36.95612628,37.82861942,38.70874512,39.59495015,40.48548259,41.37842797,42.27414391,43.1709724,49.11599694,50.09709696,51.05944194,51.99978660000001,52.92102190000001,53.83184893,54.74467708,55.66857384,56.60889032,57.56384684,58.52689241,59.48793687,60.440960700000005,61.37817281,62.30512965,63.24478177,64.22869222,65.27629248,66.40004429 -"Egypt, Arab Rep.",EGY,50.83364709,52.22934351,53.64332312,55.03911296,56.39105429999999,57.68702496,58.9349681,60.15436034,61.37506053,62.61895022,63.89233914,65.1888794,66.50285699999999,67.82419107,69.14617609999999,70.47331458,71.81178663,73.15897031,74.5110985,75.86877191,77.22503692,78.58970918,80.00007936,81.50564870000001,83.13951982,84.91561605,86.81725853,88.80871967,90.83796675,92.86508313,94.87877041 -Euro area,EMU,115.90887439999999,116.22932109999999,116.6179321,117.11730959999998,117.6559521,118.2023635,118.7519395,119.23888629999999,119.5862189,119.89461580000001,120.2056226,120.494252,120.749725,121.0633837,119.99851799999999,120.4843742,121.05191409999998,121.68855459999999,122.37676270000001,123.01729920000001,123.62243319999999,124.26316680000001,124.89704499999999,125.3073887,125.5387913,125.2755021,125.5384608,125.9000473,126.3345077,126.74427990000001,127.0964788 -Spain,ESP,77.25577447,77.45638115,77.62081331,77.74259971,77.82180442,78.02013455,78.40318156,78.81079209,79.18690533,79.53718164,79.86915746,80.20460716,80.53721969,80.86431804,81.29832465,81.94337639,83.02251924,84.50881393,85.98480508,87.4654972,88.97614934,90.61490052,92.12932237,92.97506517,93.15193096,93.50783588,93.50683713,93.20094559999998,92.92273645,92.95268301,93.04926587 -Estonia,EST,36.33380514,36.61762208,36.84595423,36.99294645,37.01755131,36.83213022,36.1663364,35.24718094,34.50139184,33.89087049,33.39452701,33.01568766,32.70007077,32.79650861,32.95553197,32.746284499999994,32.53951404,32.33592828,32.14319415,31.95977825,31.77188016,31.62727058,31.542580800000003,31.48183534,31.41012031,31.31490918,31.20301958,30.31969174,30.24028065,30.26011042,30.2689211 +Antigua and Barbuda,ATG,140.35,140.265909090909,140.388636363636,140.927272727273,142.109090909091,144.015909090909,146.525,149.493181818182,152.736363636364,156.06818181818198,159.484090909091,162.963636363636,166.41818181818198,169.713636363636,172.763636363636,175.481818181818,177.94318181818198,180.22727272727298,182.58181818181802,185.14772727272702,187.96363636363603,190.968181818182,194.084090909091,197.15,200.06363636363602,202.847727272727,205.475,207.990909090909,210.368181818182,212.65,214.834090909091 +Australia,AUS,2.0851047212423404,2.11706129674707,2.1519857334392,2.18871952410086,2.22135298022728,2.2498470510133703,2.2773127839319,2.2997019121877598,2.3241737500488098,2.3524204990692903,2.38353097379691,2.4103458599638103,2.43559871392682,2.4635851242466402,2.49313356677037,2.52697759785481,2.55800997097223,2.58977129245148,2.61997058172683,2.65477786600367,2.69423219608711,2.71111516082423,2.76599455892116,2.82359449643987,2.86785858401781,2.9079864103198303,2.95920036968095,3.01057352615753,3.05581479504836,3.10011259648803,3.14493553058884 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Faso,BFA,28.986454678362602,29.7517288011696,30.5420504385965,31.3590021929825,32.2040716374269,33.0777923976608,33.9806761695906,34.9140204678363,35.879342105263206,36.8782090643275,37.9120796783626,38.9822587719298,40.090365497076,41.237942251462,42.4266885964912,43.6571162280702,44.9309210526316,46.252269736842095,47.6263486842105,49.0567616959064,50.5452339181287,52.0907200292398,53.6905153508772,55.34027046783629,57.036611842105295,58.7789144736842,60.567419590643304,62.4004934210526,64.2763779239766,66.1938011695906,68.151966374269 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The",BHS,23.8778221778222,24.302797202797198,24.7203796203796,25.1481518481518,25.5967032967033,26.0747252747253,26.5763236763237,27.0798201798202,27.557042957043,27.9904095904096,28.369430569430598,28.7070929070929,29.0306693306693,29.3768231768232,29.775324675324697,30.231568431568398,30.735264735264696,31.2816183816184,31.8575424575425,32.453446553446604,33.0702297702298,33.7051948051948,34.3337662337662,34.9254745254745,35.4587412587413,35.921778221778204,36.3220779220779,36.6801198801199,37.0262737262737,37.383216783216795,37.7553446553447 +Bosnia and Herzegovina,BIH,86.63900390625,87.49060546875,88.07541015625,88.0434375,87.17623046875,85.33826171875,82.688984375,79.66673828125,76.885234375,74.7861328125,73.52392578125,72.9701171875,72.93626953125,73.1123828125,73.26515625,73.34984375,73.42552734375,73.47994140625,73.5194140625,73.54162109375,73.5434375,73.4919140625,73.32560546875,72.9675390625,72.3725,71.50732421875,70.409609375,69.19150390625,68.00984375,66.97970703125,66.13802734375 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d'Ivoire,CIV,32.4128333333333,33.6421194968553,34.889144654088,36.171223270440294,37.4996132075472,38.87549371069179,40.2906320754717,41.73472641509429,43.19318553459121,44.6533396226415,46.116751572327004,47.580701257861605,49.023314465408795,50.4168962264151,51.7442389937107,52.9969371069182,54.1872295597484,55.34468553459121,56.510987421383604,57.71859748427671,58.97772327044029,60.286908805031395,61.6527327044025,63.079078616352206,64.5690251572327,66.1278459119497,67.7584528301887,69.4575628930818,71.21912893081759,73.03818553459121,74.9141949685535 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states,CSS,14.463240706434501,14.5605211806842,14.647842410769401,14.7388366061504,14.843154254662199,14.964327528714302,15.0989625787329,15.2410794121279,15.3818327775719,15.5148573545758,15.638582190934901,15.7553464246017,15.8671779671483,15.9774632579968,16.0886377670742,16.2012992466346,16.314597999259,16.4282351488206,16.541813017166902,16.6548524144745,16.7670075336544,16.8788267259479,16.991423984191698,17.1062171174509,17.224171915524302,17.345651475855302,17.469840681734,17.594990737310102,17.7187476843275,17.839229344201602,17.955751512906 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Republic,CZE,133.84530865795298,133.91119451274798,134.014184030025,134.08914196971702,133.7304904879,133.40983564125798,133.546305163712,133.68519477158,133.73349294681,133.651520641905,133.496065743497,133.35228419826598,133.225999741167,133.089944350977,132.717264138734,132.219554807817,131.96474699107,131.92698330529302,131.984222107171,132.16691690396098,132.542459546926,133.318161812298,134.42851779935302,135.196582524272,135.608622475401,135.889280165717,136.097177262722,136.159958559959,136.30337995338002,136.589288952208,136.834136234136 +Germany,DEU,222.61173774811698,222.953971300089,223.826709248704,225.564354251998,227.517053819494,229.18080944061,230.930020336264,232.45979319431703,233.27417719343498,233.96749069034698,234.65247070955897,235.022979515829,235.07877772047402,235.25773110206902,235.596813297034,236.027300085985,236.45157083070598,236.61642728132801,236.592195429653,236.464680582636,236.225197866483,235.94336191814602,235.522178240542,234.93963741717099,234.60690822503398,230.30463334863398,230.750625466231,231.155712565925,232.108053883634,234.153668555637,235.712929356538 +Djibouti,DJI,19.6014236410699,21.153149266609102,22.821354616048303,24.325452976704103,25.4701466781708,26.1796376186368,26.5338222605695,26.682269197584098,26.849266609145797,27.195340811044,27.767644521138898,28.5100517687662,29.3556082830026,30.197368421052605,30.9570319240725,31.622735116479696,32.2235547886109,32.7713977566868,33.287446074201895,33.7900776531493,34.277955133736,34.747670405522,35.2182053494392,35.712812769629004,36.246678170836894,36.8280414150129,37.45194132873171,38.105823986195,38.770319240724795,39.430241587575495,40.0824849007765 +Dominica,DMA,96.7106666666667,95.7893333333333,94.944,94.2973333333333,93.89200000000001,93.83200000000001,94.0586666666667,94.4413333333333,94.72399999999999,94.7973333333333,94.5813333333333,94.132,93.58,93.1133333333333,92.8666666666667,92.8813333333333,93.116,93.4666666666667,93.8426666666667,94.1186666666667,94.2906666666667,94.3933333333333,94.436,94.46799999999999,94.50399999999999,94.5546666666667,94.62,94.68799999999999,94.78,94.9106666666667,95.07600000000001 +Denmark,DNK,120.824303916942,120.948903043171,121.007690493041,121.08030195800899,121.277164425572,121.592309506959,121.880037709168,122.286778222955,122.70044779637101,123.341338675465,124.041338675465,124.557883572944,125.011053499882,125.425382983738,125.84529813811001,126.297030403017,126.701178411501,127.046288003771,127.375041244403,127.726419985859,128.146877209522,128.716427056328,129.47492340325198,130.169573415037,130.749069054914,131.288522271977,133.164372469636,133.720695403668,134.400452488688,135.353250773994,136.41366992141002 +Dominican Republic,DOM,136.55479196853702,139.30724487683702,142.07081349617098,144.853819085076,147.660815566135,150.494907886566,153.350072448768,156.209128544815,159.050031049472,161.855661353757,164.619395570275,167.344380045539,170.035727592631,172.703022148623,175.353363692817,177.988014903747,180.60391223349203,183.198447526392,185.767832746843,188.310018629683,190.82355619954498,193.311136410681,195.77882425998797,198.23508590354,200.685593044918,203.129993790106,205.566363071828,207.994700890085,210.415607534672,212.827157938315,215.22962119643998 +Algeria,DZA,9.69979468791724,9.98189726838362,10.2628611855198,10.5411127998858,10.815147329263501,11.084534416015199,11.348142954310699,11.603078001796998,11.845866467372598,12.0742755296548,12.2878252873949,12.4879201760058,12.6767632067312,12.857577233451199,13.0334272422683,13.2052675774854,13.374721422153598,13.5464647694543,13.7261678436773,13.9182799130048,14.124548439376301,14.3453827873739,14.582031623938802,14.8353224953185,15.1055341892902,15.392714570020198,15.6960402898721,16.0135581549623,16.3425424269652,16.680252672416,17.0259574932612 +East Asia & Pacific (excluding high income),EAP,94.1902001567001,95.85161747607441,97.53249171925579,99.1721916411569,100.774439182046,102.30339089984601,103.74077046216401,105.125129069519,106.498935364797,107.844787779068,109.166195608366,110.472007008433,111.729925646824,112.91334257830499,114.13525938520701,115.201201259365,116.222091336408,117.20117161413602,118.151933327144,119.096634025762,120.01425875555,120.901584929201,121.78537706695299,122.66269036563699,123.53878049276699,124.423402332881,125.32658912321699,126.240208502461,127.162462456164,128.079456907017,129.01664513356002 +Early-demographic dividend,EAR,55.7408785206004,57.0928146382979,58.4487553222468,59.802853340324106,61.21583746862039,62.560048176577304,63.8933557891259,65.2201064051902,66.5613988595211,67.8962439998419,69.2415811900946,70.5935576249045,72.0057801471026,73.3491175687997,74.68467248233041,76.00779678278059,77.3197404575818,78.6248651783126,79.9334494413498,81.24164619655859,82.55468375857471,83.87269925557659,85.1935314236428,86.51090571673349,87.8284373181843,89.14254941697429,90.4396974221858,91.73099313319679,93.02087563068241,94.3029734614254,95.57842879487619 +East Asia & Pacific,EAS,70.1221029788751,71.27327792361079,72.43549459939629,73.5719446476544,74.6798958198856,75.74106832063958,76.7351955282079,77.69482727744,78.6563200331122,79.6016481093685,80.53288320242079,81.4413845049892,82.3179565515481,83.1353058115819,83.96320711352399,84.7113681359063,85.4213782991383,86.0961515258762,86.74669385802808,87.3901160561025,88.02917554286378,88.64563503092009,89.2748937073067,89.88730960806481,90.49466545741659,91.100974839123,91.7220917774509,92.3463423562311,92.9792527673597,93.6095942221792,94.2128067210211 +Europe & Central Asia (excluding high income),ECA,15.558118402446402,15.720328122584698,15.8766046631845,16.0165203687222,16.117392051716198,16.218232988223,16.3028362973196,16.3667595090371,16.405672029131,16.425334613231403,16.4446509525675,16.4629890652653,16.4738150483336,16.4690094792098,16.479736919690403,16.4821697201631,16.487395869256698,16.5016395233165,16.5231445577877,16.5475750800395,16.5808745435957,16.6263661043246,16.6903972812223,16.776374832922002,16.8728257724988,16.9768356564674,17.0815333704739,17.1966883240719,17.312431299439698,17.430086086638802,17.5450525671193 +Europe & Central Asia,ECS,30.0630112256178,30.247050950799302,30.4315786078836,30.611251182851,30.760457342912897,30.902074344934203,31.029227520184698,31.1447869375229,31.227362991416,31.2841183345122,31.3344590593992,31.302912217764,31.341412416896,31.370908895078,31.3774233627961,31.4180216682284,31.476709568313602,31.559135915242,31.6535316180929,31.750109890210098,31.853472452360702,31.9683565847777,32.098604918218,32.2302992056432,32.354617119386894,32.4362454416665,32.5723065753623,32.7264614227309,32.8862586209865,33.0436546698582,33.1961001205185 +Ecuador,ECU,33.566225978904804,34.3966189856957,35.2390514376535,36.0925805519434,36.9561262823291,37.828619419159104,38.7087451235371,39.594950151712204,40.4854825892212,41.3784279728363,42.2741439098396,43.170972402832,49.1159969399259,50.0970969560316,51.059441939120596,51.9997866000966,52.9210219036882,53.831848928974104,54.7446770816557,55.668573844419406,56.6088903205025,57.563846835239204,58.526892414237395,59.4879368658399,60.440960702206496,61.3781728136576,62.3051296505073,63.244781768400706,64.2286922209696,65.27629247866,66.40004429054599 +"Egypt, Arab Rep.",EGY,50.833647094279,52.2293435129841,53.6433231201969,55.0391129639861,56.3910542970516,57.6870249635843,58.93496810487721,60.154360339544894,61.3750605253905,62.618950223517,63.892339143101104,65.1888794012758,66.502856999347,67.82419106936561,69.1461761012607,70.4733145813451,71.8117866291627,73.15897031493292,74.5110984981667,75.8687719122005,77.2250369179768,78.58970917675421,80.000079361093,81.50564870159229,83.13951981515899,84.91561605304129,86.8172585262946,88.8087196745191,90.83796674870659,92.86508312823351,94.8787704053443 +Euro area,EMU,115.908874354543,116.229321052974,116.617932112651,117.117309550609,117.65595205865,118.202363514442,118.751939507264,119.23888632203699,119.58621885468,119.89461584590099,120.205622623088,120.494252021812,120.74972499486499,121.06338365882799,119.998518021507,120.48437421622,121.051914113081,121.68855455920601,122.37676272338499,123.017299203006,123.622433197519,124.263166835637,124.897045034497,125.30738874413099,125.53879128008002,125.27550214295799,125.538460838468,125.90004730327601,126.334507725883,126.744279949659,127.096478819702 +Spain,ESP,77.2557744674035,77.4563811468845,77.6208133109082,77.74259971167709,77.8218044209515,78.0201345506968,78.403181563351,78.8107920871376,79.1869053339741,79.53718164344059,79.86915745635109,80.20460716001921,80.5372196860484,80.8643180362005,81.29832464929859,81.9433763941266,83.02251923693491,84.5088139260031,85.98480508033171,87.46549720491291,88.97614934466309,90.6149005229308,92.1293223736969,92.9750651746681,93.1519309613808,93.5078358806114,93.50683712840609,93.2009456028468,92.9227364506907,92.9526830143124,93.04926586762609 +Estonia,EST,36.3338051427223,36.617622080679396,36.8459542344893,36.992946449634296,37.0175513092711,36.832130219391395,36.1663364000944,35.247180938900705,34.501391837697604,33.890870488322705,33.3945270110875,33.0156876621845,32.7000707714083,32.7965086105214,32.9555319650861,32.7462845010616,32.5395140363293,32.335928284972894,32.143194149563605,31.9597782495872,31.7718801604152,31.627270582684602,31.542580797357896,31.481835338523197,31.410120311394202,31.314909176692602,31.203019580089602,30.319691741430898,30.240280653324103,30.260110420980002,30.2689210950081 Ethiopia,ETH,41.965693,43.329231,44.757203000000004,46.272299,47.887865000000005,49.609969,51.423584999999996,53.295566,55.180997999999995,57.04790799999999,58.88353000000001,60.69744300000001,62.507723999999996,64.343013,66.224804,68.159423,70.14209100000001,72.17058399999999,74.23950500000001,76.346311,78.48920600000001,80.674348,82.916235,85.233913,87.639964,90.139927,92.72697099999999,95.385785,98.09425300000001,100.835458,103.603501 -European Union,EUU,104.5908622,104.8993959,105.2401321,105.6243209,105.9783962,106.29114440000001,106.60092220000001,106.9485709,107.214141,107.41764199999999,107.589992,107.75403519999999,107.8992372,108.07789879999999,107.3369058,107.49290659999998,107.7715969,108.1428352,108.55475659999999,108.9482456,109.3204888,109.68974229999999,110.05715390000002,110.2924328,110.4090439,110.2166131,110.4708132,110.7013297,110.97918729999999,111.23716029999999,111.4621168 -Fragile and conflict affected situations,FCS,21.54445303,22.06991999,22.6167583,23.193387899999998,23.93236974,24.58916283,25.28445417,26.00314287,26.72580838,27.43915086,28.13739691,28.82632719,29.505390000000002,30.19974542,30.93681178,31.71542303,32.52733214,33.36805098,34.22903779,35.10432099,35.99268544,36.89601273,37.81689627,38.76408907,39.7248448,40.70947747,41.71709117,42.73881426,43.76145335,44.77884419,45.78717856 -Finland,FIN,16.14680062,16.19266227,16.23980104,16.29853574,16.37096096,16.46061919,16.55337339,16.63366164,16.70551561,16.76939492,16.82449522,16.87460192,16.91945894,16.95877737,16.99402147,17.03275879,17.07409304,17.11485604,17.16462129,17.22346761,17.31698399,17.39195633,17.48403751,17.56785456,17.64841066,17.73099477,17.81556155,17.89783145,17.97200303,18.03011089,18.08200783 -Fiji,FJI,39.33437329,39.50645868,39.56923919,39.66031746,39.87810619,40.25183361,40.74816639,41.32255063,41.90525452,42.44252874,42.93300493,43.39003831,43.79622332,44.13262178,44.39003831,44.54980843,44.62271483,44.66754242,44.76518883,44.97011494,45.31308155,45.76847291,46.27044335,46.72342638,47.06174056,47.26048166,47.34915161,47.37865353,47.42490421,47.5438971,47.75035577 -France,FRA,104.0534317,104.64977990000001,105.2422966,105.8141125,106.3537461,106.9447506,107.477848,107.94455149999999,108.34710390000001,108.7392155,109.1249243,109.5116375,109.9160399,110.4829669,111.2420962,112.05465430000001,112.8725213,113.613134,114.51547649999999,115.3840639,116.19134059999999,116.91244180000001,117.5676412,118.17407309999999,118.75934,119.3351212,119.91410929999999,120.5330001,121.10532409999999,121.5367038,121.85782479999999 -Faroe Islands,FRO,32.82091547,33.20128795,33.54584381,33.78653147,33.86389537,33.75358019,33.48065756,33.14183236,32.848136100000005,32.68266333,32.6755,32.80515616,33.02005586,33.26360886,33.47779223,33.66547131,33.83452574,33.97707588,34.09741971,34.18481226,34.23495552,34.25859449,34.25501283,34.24641684,34.25071483,34.25716183,34.27148847,34.30658876,34.35529936,34.420485600000006,34.50787815 -Gabon,GAB,3.298979315,3.391419257,3.48689797,3.58486048,3.68489929,3.786948422,3.890941902,3.996499398,4.103135794,4.210602709,4.3193037610000005,4.429456281,4.540928319,4.6534404469999995,4.767182831,4.882225327,4.999864167,5.122649125,5.253987659,5.396627468999999,5.550324057999999,5.714964877999999,5.8933519620000006,6.088904413,6.303178484,6.537955525,6.790398572000001,7.051930764,7.310901541000001,7.558838825,7.792420537999999 -United Kingdom,GBR,234.28841400000002,234.78712850000002,235.30908530000002,235.92241969999998,236.6287191,237.3616211,238.0043897,238.57567889999999,239.18383419999998,239.8174265,240.4288431,241.0488736,241.7523292,242.55969080000003,243.4279089,244.36685400000002,245.4035423,246.54890669999997,247.95562769999998,249.66397719999998,251.50589010000002,253.47192579999998,255.4747034,257.4144174,259.44018930000004,261.47567480000004,263.3001901,265.0695366,267.0288844,269.1531393,271.2007316 -Georgia,GEO,82.30693866,82.98925785,83.81503901,84.0354806,84.01273662,84.60582946,85.26365513,85.92148081,84.60890864,81.48854054,78.58390776,76.10331012,74.24344799,72.73158613,71.33088981,70.23291578,69.60556702,69.13705868,68.71024179,68.27511459,67.88808216,67.53486826,67.33001505,66.73464782,66.24960635,65.72030162,65.23800693,65.04195388,65.07250079,65.17505861,65.21405578 -Ghana,GHA,57.85724268,59.55885119,61.294902,63.08082095,64.92606575,66.83381823,68.79377692,70.78652105,72.78576954,74.77391667,76.7447306,78.7069746,80.67661071,82.67715127,84.72732706,86.82837303,88.97943658,91.19407137,93.48827898,95.8716797,98.35217984,100.92267729999999,103.5590446,106.2272128,108.9022545,111.5747121,114.25001759999999,116.93610790000001,119.64697199999999,122.3925683,125.17335849999999 +European Union,EUU,104.59086224611,104.899395895296,105.240132056473,105.624320896108,105.978396248417,106.291144408185,106.60092219692699,106.948570920593,107.21414095943399,107.41764196602,107.589991968833,107.75403524014901,107.899237189045,108.077898768778,107.336905841521,107.492906554937,107.771596863993,108.142835248377,108.554756606551,108.948245624134,109.320488764157,109.689742272838,110.057153934882,110.292432775122,110.40904390272101,110.21661311250601,110.47081317816999,110.701329681599,110.979187295548,111.23716033808701,111.46211678513001 +Fragile and conflict affected situations,FCS,21.544453025996297,22.069919985044898,22.6167583032871,23.193387902680897,23.9323697435843,24.589162828722202,25.2844541673649,26.003142873235003,26.725808383521198,27.439150856655804,28.1373969087988,28.8263271854232,29.505389995204702,30.1997454185944,30.9368117753942,31.7154230272723,32.5273321440116,33.3680509820395,34.229037791233694,35.1043209854538,35.9926854398474,36.89601273110689,37.816896268106106,38.764089066893895,39.7248448007467,40.7094774654029,41.7170911694013,42.7388142624664,43.761453347975205,44.7788441867697,45.787178555542205 +Finland,FIN,16.1468006172232,16.1926622673102,16.2398010440264,16.2985357365639,16.3709609639187,16.4606191930136,16.553373387176197,16.6336616435208,16.705515611149398,16.7693949243245,16.8244952230868,16.8746019238977,16.919458944811097,16.9587773728619,16.994021471486302,17.0327587905053,17.074093043107098,17.1148560359828,17.164621294198803,17.2234676122,17.3169839860577,17.3919563287185,17.4840375123396,17.567854557420198,17.6484106614018,17.7309947678436,17.815561551877302,17.8978314521702,17.972003027411198,18.030110888091897,18.0820078312658 +Fiji,FJI,39.3343732895457,39.506458675424206,39.5692391899288,39.6603174603175,39.87810618500271,40.251833607006,40.748166392994,41.3225506294472,41.905254515599296,42.4425287356322,42.933004926108396,43.39003831417621,43.79622331691301,44.13262178434589,44.39003831417621,44.5498084291188,44.6227148330597,44.6675424192666,44.765188834154394,44.9701149425287,45.3130815544609,45.76847290640389,46.270443349753705,46.7234263820471,47.06174055829229,47.2604816639299,47.34915161466889,47.378653530377704,47.424904214559405,47.5438970990695,47.750355774493705 +France,FRA,104.05343168524901,104.64977987100599,105.24229655528099,105.81411253922701,106.35374610224702,106.944750640084,107.477848004914,107.94455154879299,108.347103923685,108.739215548354,109.12492429209101,109.511637480926,109.916039861061,110.482966936778,111.242096161892,112.054654271399,112.872521320344,113.613134004426,114.515476452475,115.384063944828,116.191340641695,116.912441834144,117.567641210864,118.174073061316,118.759339991649,119.33512115141599,119.91410928328699,120.53300011078998,121.10532409618601,121.536703849107,121.857824759823 +Faroe Islands,FRO,32.8209154704657,33.201287946672004,33.545843805532996,33.7865314740929,33.8638953675585,33.7535801861353,33.4806575619647,33.1418323618789,32.8481360996481,32.6826633275132,32.6755000040441,32.805156158833796,33.020055862905195,33.2636088608527,33.4777922325771,33.665471307466,33.834525741335504,33.9770758783694,34.0974197126494,34.184812258971704,34.234955523255,34.2585944907029,34.2550128289683,34.2464168408055,34.2507148348869,34.2571618260091,34.2714884729471,34.3065887579455,34.355299357535,34.4204856011033,34.5078781474256 +Gabon,GAB,3.2989793146272404,3.39141925718943,3.4868979702720497,3.5848604804595,3.68489928978927,3.78694842240075,3.89094190243335,3.9964993984553905,4.10313579384484,4.21060270889122,4.31930376062405,4.42945628129002,4.5409283191679295,4.65344044708348,4.7671828307525095,4.8822253269686,4.99986416734583,5.122649124849611,5.2539876586331395,5.39662746924361,5.55032405790352,5.71496487755656,5.89335196181162,6.08890441262079,6.30317848410758,6.53795552450809,6.79039857181666,7.0519307641557,7.31090154073039,7.558838824853491,7.792420537897309 +United Kingdom,GBR,234.28841400405102,234.787128508246,235.3090852726,235.92241970817997,236.628719050965,237.36162113007902,238.0043896995,238.57567891538898,239.18383416690799,239.817426528335,240.428843053776,241.04887364113603,241.752329186128,242.559690819659,243.427908899268,244.366854048692,245.40354234696,246.548906708552,247.955627660894,249.663977183483,251.50589013351,253.471925763651,255.47470342661097,257.414417393461,259.440189310958,261.475674781962,263.300190137643,265.069536642831,267.028884388046,269.153139337825,271.20073161658297 +Georgia,GEO,82.30693866125479,82.98925784667058,83.8150390146611,84.0354805976416,84.01273662479441,84.60582945519441,85.2636551313902,85.92148080758601,84.6089086392106,81.4885405367578,78.5839077644424,76.1033101228174,74.2434479862836,72.73158612967559,71.3308898141992,70.23291577731901,69.60556702473839,69.13705867944999,68.7102417859267,68.2751145946324,67.8880821582281,67.5348682599111,67.33001504601279,66.7346478183281,66.2496063543161,65.7203016200707,65.238006928164,65.04195388222121,65.0725007872914,65.1750586094685,65.2140557752196 +Ghana,GHA,57.857242682605296,59.558851190999405,61.2949019952536,63.0808209545574,64.9260657466819,66.8338182297618,68.79377691834401,70.78652105124371,72.7857695350268,74.77391667399141,76.7447305968181,78.7069745978729,80.67661070580999,82.6771512701064,84.7273270633735,86.8283730333128,88.97943658257891,91.1940713720664,93.48827898391491,95.8716797046673,98.35217983651229,100.92267733145799,103.559044563593,106.22721279775,108.90225454865102,111.57471213852502,114.250017579327,116.936107937066,119.646971960974,122.392568339633,125.173358530368 Gibraltar,GIB,2909.4,2911.5,2915.9,2918.7,2914.7,2902.2,2884.0,2867.5,2860.2,2869.2,2897.1,2940.8,2994.7,3052.9,3107.7,3160.2,3210.2,3255.5,3292.8,3321.9,3341.7,3351.7,3355.9,3356.5,3358.5,3361.2,3364.6,3369.2,3372.5,3373.6,3373.7 -Guinea,GIN,22.9098893,23.60949862,24.34676054,25.09960524,25.85171333,26.59506349,27.33207716,28.06920886,28.81782517,29.58499512,30.37515058,31.18213821,31.99080661,32.78016848,33.53707472,34.25476559,34.9425118,35.62222448,36.32485349,37.073014,37.87817434,38.73580498,39.63369689,40.55212844,41.47882142,42.40790737,43.35027267,44.33017255,45.38082777,46.52485756,47.77161403 -"Gambia, The",GMB,78.17658103,82.11689723,86.30869565,90.4777668,94.42618577,98.09021739,101.5291502,104.8282609,108.12371540000001,111.5192688,115.02875490000001,118.6290514,122.3443676,126.19891299999999,130.20780630000002,134.39466399999998,138.76096840000002,143.27322130000002,147.8781621,152.5435771,157.2574111,162.04031619999998,166.92539530000002,171.9643281,177.19328059999998,182.6232213,188.2421937,194.0425889,200.0041502,206.1126482,212.36551380000003 -Guinea-Bissau,GNB,31.73975818,32.45924609,33.18083215,33.918563299999995,34.68211238,35.47375533,36.28556188,37.10608108,37.921265999999996,38.72169275,39.50330725,40.27418208,41.05160028,41.86098862,42.720519200000005,43.63819346,44.61070413,45.63673542,46.71024182,47.82823613,48.989367,50.19711949,51.45576102,52.77101707,54.14647937,55.58282361,57.07606686,58.61511379999999,60.18630868,61.77816501,63.38680654 -Equatorial Guinea,GNQ,13.15590018,13.65351159,14.08060606,14.49625668,14.94431373,15.431479500000002,15.94531194,16.49329768,17.080142600000002,17.71008913,18.39048128,19.12513369,19.91058824,20.74046346,21.61073084,22.51928699,23.47180036,24.48,25.55967914,26.72139037,27.96777184,29.29365419,30.68948307,32.14256684,33.64131907,35.18192513,36.7626025,38.37479501,40.00983957,41.66017825,43.32188948 -Greece,GRC,77.32515904,77.58413499,77.86643134,78.27384019,79.10622188,80.06149728,80.67541505,81.15139643,81.55874321,81.94067494,82.30256012,82.70953452,83.16919317,83.48873545,83.83093871,84.2678976,84.5773623,84.77944143,84.98945694,85.23905353,85.49543832,85.71352211,85.94135764,86.16770365,86.27882855,86.1512723,85.68666408,85.06757952,84.50281614,83.94788984,83.5994647 -Grenada,GRD,294.6794118,292.4588235,288.5882353,285.0705882,283.32647060000005,283.70588239999995,285.77941180000005,288.9117647,292.2117647,294.9647059,297.06176469999997,298.7264706,300.06176469999997,301.27058819999996,302.45,303.67352939999995,304.8058824,305.8970588,306.9029412,307.82647060000005,308.6264706,309.38235289999994,310.1647059,311.1441176000001,312.45,314.1058823999999,316.01764710000003,318.1470588,320.3,322.35,324.2970588 -Greenland,GRL,0.156570091,0.15832601699999999,0.160374598,0.161837869,0.162715833,0.162423178,0.161837869,0.161545215,0.162423178,0.16330114099999998,0.16359379599999999,0.136435619,0.136679254,0.136679254,0.13692289,0.13728834199999998,0.137919357,0.138299427,0.138655135,0.138713607,0.138321355,0.137787794,0.137234742,0.137222561,0.138640517,0.138603971,0.138409063,0.13761237699999998,0.137154343,0.136713363,0.136888781 -Guatemala,GTM,75.63382792,77.75705487,79.93963233,82.17613848,84.45422732,86.75638298,89.06359649,91.36449235,93.6685517,95.99464352,98.32905935,100.67527059999999,103.0815136,105.55317279999998,108.15379809999999,110.783548,113.3586973,115.8579134,118.3474057,120.83139229999999,123.30468459999999,125.7653695,128.2129433,130.6475364,133.0691209,135.512458,137.9427212,140.38802719999998,142.8360956,145.27266699999998,147.7014744 -Guam,GUM,220.8,225.7759259,230.8759259,236.1518519,241.6333333,247.3296296,253.1333333,258.9222222,264.4481481,269.55740739999993,274.1851852,278.3388889,281.99444439999996,285.0981481,287.6462963,289.6314815,291.0666667,292.0685185,292.7796296,293.337037,293.79259260000003,294.1611111,294.5111111,294.862963,295.2666667,295.72592589999994,296.2888889,297.05,298.1777778,299.7277778,301.7611111 -Guyana,GUY,3.883393447,3.847843536,3.813253747,3.787579375,3.776017272,3.781935484,3.8029057660000003,3.8310591819999997,3.85519939,3.867366015,3.86484633,3.850495301,3.829199898,3.808351537,3.7933197869999997,3.7856540510000003,3.783535687,3.785334011,3.788351537,3.7905156210000004,3.791430023,3.7920955039999997,3.793837948,3.798415037,3.807142494,3.820309881,3.837434595,3.8571755139999997,3.877978156,3.898562357,3.9185471169999997 -High income,HIC,28.32633728,28.52105058,28.719600300000003,28.931203999999997,29.15290681,29.38586601,29.55742286,29.78352324,29.99883757,30.250720299999998,30.45297453,30.59002913,30.78272011,30.97326088,31.13084321,31.32176784,31.51597366,31.71453436,31.92588237,32.14265452,32.37945031,32.62325877,32.89658688,33.13141792,33.34268551,33.49529926,33.69008962,33.88274768,34.0818309,34.27597625,34.45833395 -"Hong Kong SAR, China",HKG,5580.404039999999,5636.868687,5684.444444,5743.636364,5762.121212,5810.10101,5859.0909090000005,5960.6060609999995,6096.363636,5862.952381,6129.047619,6180.285714,6232.095238,6291.904762,6347.619048,6394.571429,6422.952381,6410.285714,6460.476189999999,6488.761904999999,6530.571429,6586.952381,6626.476189999999,6640.761904999999,6689.714286,6734.857143000001,6809.6190480000005,6837.047619,6885.238095000001,6944.095238,6987.238095000001 -Honduras,HND,39.41611404,40.59535258,41.80019662,43.03067298,44.28727321,45.5678881,46.87351863,48.21174368,49.59299312,51.0234516,52.50521941,54.03252301,55.59394048,57.17357226,58.75868263,60.34419519,61.92926088,63.5116543,65.09029404,66.66355349,68.23038699,69.78745196,71.32858164,72.84632228,74.3361337,75.79471803,77.22487264,78.63545446,80.03922603,81.44531236,82.85633211 -Heavily indebted poor countries (HIPC),HPC,18.2047065,18.70747685,19.2342399,19.7888737,20.37351288,20.99125,21.6399918,22.31033891,22.98930033,23.66802029,24.34247596,25.01672528,25.69990449,26.40534748,27.14268918,27.91562222,28.72129797,29.554985,30.40914232,31.27868137,32.16221619,33.06284833,33.985294700000004,34.93623073,35.91899258,36.93706286,37.98848631,39.07134069,40.18325849,41.32211591,42.48783785 -Croatia,HRV,84.44725452,84.77454838,85.05109998,85.26667859,85.44746915,83.86732248,81.84256841,82.28336612,83.2055804,82.63333929999999,81.40580564,81.0096463,81.06125917,80.71180469,79.91954928,76.90291540000001,76.94820247,76.97011268,76.922802,77.02189064,77.04001072,77.02317727,77.01402788,76.93318442,76.75888134,76.49431737,76.26086490000002,76.04876698,75.73961758,75.11801287,74.59522873 -Haiti,HTI,235.07042819999995,240.15761969999997,245.2185414,250.2813861,255.36709,260.47195209999995,265.58392599999996,270.707148,275.8461538,281.0051887,286.1866473,291.39063860000005,296.6139332,301.8525762,307.104717,312.3664369,317.6396952,322.9355588,328.2683962,333.64615380000004,339.0705733,344.5329463,350.021045,355.5169086,361.0058781,366.4847605,371.94956460000003,377.38291,382.7651669,388.0820755,393.32256889999996 -Hungary,HUN,118.27507790000001,118.07678020000002,117.90905749999999,116.63201289999999,115.4332703,115.42672749999998,115.38156229999998,115.26288670000001,115.10521920000001,114.94508119999999,114.74780770000001,114.5933853,114.3270601,114.00367479999998,113.9362977,113.6752511,113.3520196,113.02780630000001,112.77779509999999,112.56628719999999,112.39113940000001,112.2171633,112.0208459,110.71081409999998,110.46087479999998,110.14831550000001,109.5809345,109.2795979,108.98561799999999,108.7266983,108.40630729999998 -IBRD only,IBD,45.53659718,46.38749335,47.24070564,48.07956499,48.89409333,49.68906818,50.4547145,51.20708655,51.94966538,52.6760181,53.39265007,54.1042226,54.82543091,55.50189804,56.17728144,56.82084433,57.45403118,58.08140776,58.70320716,59.32314398,59.93980105,60.54600442,61.15480053,61.77245945,62.38338623,63.00325448,63.62954901,64.26050049,64.88862431,65.50976833,66.12798413 -IDA & IBRD total,IBT,42.62041413,43.48972012,44.36671211,45.23884665,46.09948024,46.94897629,47.78255059,48.61008179,49.43675462,50.25057207,51.0601193,51.86858569,52.68493317,53.469978000000005,54.26045778,55.03264503,55.80171407,56.5715769,57.34370293,58.11891631,58.89771065,59.67518817,60.46066927,61.25751248,62.05606088,62.86492744,63.67964945,64.50386133,65.33447029999999,66.16794306,67.0084787 -IDA total,IDA,33.36664543,34.29437038,35.24682118,36.22467176,37.23160668,38.25438158,39.30349836,40.36994542,41.46151676,42.55324554,43.657700399999996,44.77359601,45.89436063,47.02324076,48.18083751,49.36105475,50.56122498,51.78298466,53.03150986,54.29922846,55.59250055,56.91323125,58.25910891,59.62432399,61.01795649,62.42623171,63.83854057,65.27566893,66.7485255,68.25542498,69.80107291 -IDA blend,IDB,56.78800399,58.48712652,60.21405489,61.95834823,63.73839386,65.4882752,67.25796328,69.0442359,70.84959182,72.69150999,74.58939183,76.53258937,78.49666153,80.45093618,82.43141689,84.41049419,86.3996702,88.41317993,90.475312,92.60276836,94.80371907,97.08324884,99.43529914,101.84500759999999,104.3742146,106.941755,109.4749447,112.05884209999999,114.69567669999999,117.38013559999999,120.1067273 -Indonesia,IDN,92.94384815,94.78119145,96.58801702,98.37276506,100.1415358,101.8960918,103.6337464,105.3512561,107.04386909999998,108.7091639,110.3469521,111.961694,113.56149199999999,115.1571118,116.7571902,118.3655155,119.9831047,121.61245159999999,123.2553398,124.9134563,126.58537179999999,128.272297,129.9810452,131.7203106,133.49427020000002,135.3059534,137.14756430000003,138.9989909,140.83309169999998,142.6294628,144.3798617 -IDA only,IDX,27.68565763,28.42627557,29.1908723,29.98281769,30.80223007,31.64896373,32.52331026,33.41516794,34.33087483,35.24057971,36.15251962,37.06768096,37.98382776,38.91243641,39.87053238,40.85692017,41.86565193,42.895213500000004,43.94540931,45.00447326,46.07757746,47.16568019,48.26728611,49.37903851,50.49749775,51.62464656,52.76489028,53.92371472,55.11337301,56.33452129,57.59361246 -Isle of Man,IMN,114.3824561,116.6157895,119.16842109999999,121.52105259999999,123.32982460000001,124.44210530000001,125.0070175,125.3122807,125.72105259999998,126.54561399999999,127.85614040000002,129.56140349999998,131.4789474,133.3350877,134.9842105,136.32105259999997,137.4,138.3929825,139.5087719,140.8859649,142.6052632,144.57543859999998,146.5052632,148.02807019999997,148.87192980000003,148.922807,148.30350880000003,147.3263158,146.4701754,146.0245614,146.11754390000002 -India,IND,269.7356186,275.691127,281.6735325,287.6824818,293.7174543,299.7700144,305.8354885,311.9221644,318.04285330000005,324.20483989999997,330.4078256,336.64179889999997,342.8921734,349.13952889999996,355.3676519,361.5645435,367.7253014,373.8486757,379.93651800000004,385.98607119999997,391.99859110000006,397.9595895,403.8321685,409.5689192,415.13699760000003,420.5209654,425.73222360000005,430.79861330000006,435.76232400000004,440.65545860000003,445.4843414 -Ireland,IRL,51.38176804,51.38709537,51.16778923,50.96543765,51.00847728,51.30258383,51.65379591,51.91262883,52.11766584,52.38555668,52.80171288,53.333880099999995,53.89310495,54.50407897,55.23550588,56.12197706,57.07572942,58.01307882,59.08349543,60.38487444,62.03499782,63.85457976,65.16974888,65.83502685,66.19473073,66.484018,66.76633764,67.11882712,67.61126433,68.25311366,69.0279431 -"Iran, Islamic Rep.",IRN,30.24402306,31.43113903,32.58755925,33.65873609,34.60682789,35.41285027,36.08903092,36.66824087,37.20045556,37.72358359,38.24683809,38.76342248,39.27640414,39.785407299999996,40.29040804,40.79736241,41.3104423,41.82503131,42.33360409,42.83156941,43.31808247,43.79802733,44.27945431,44.77322442,45.28753101,45.82317591,46.37875562,46.95715943,47.56118335,48.19139407,48.84944129 -Iraq,IRQ,36.37597915,37.17006196,37.98230789,38.85714155,39.82694972,40.90234584,42.07589455,43.33878638,44.67462332,46.06931888,47.51828658,49.01930631,50.56205044,52.13449482,53.72472963,55.34942954,57.00418181,58.63342022,60.16379267,61.55493975,62.757217000000004,63.81610078,64.90099001,66.70925124,68.47940689,70.74346104,73.42514966,76.37620564,79.26683001,81.93956704,84.33142147 -Iceland,ISL,2.425735661,2.452458853,2.49117207,2.522214464,2.541905237,2.571541147,2.60405985,2.630673317,2.65357606,2.668009975,2.682453865,2.704518703,2.73363591,2.766892768,2.8050374060000003,2.8425735660000004,2.86805985,2.887990025,2.9134563589999996,2.95994015,3.030244389,3.107890274,3.1662244389999996,3.177047382,3.172478803,3.1821845389999996,3.199162095,3.229566085,3.2656957610000004,3.299900249,3.3460249380000002 -Israel,ISR,198.6598891,201.8946396,205.2680222,208.78003700000002,215.34195930000004,228.6968577,236.7375231,243.1146026,249.4916821,256.2384473,263.03142330000003,269.6857671,275.9242144,283.04066539999997,290.61922369999996,297.55083179999997,303.60443619999995,309.13585950000004,314.6487985,320.2449168,325.9565619,331.797597,337.7449168,345.91497230000004,352.2920518,358.86321630000003,365.54990760000004,372.43530499999997,379.65341960000006,387.25046210000005,394.9168207 -Italy,ITA,192.43193019999998,192.4515691,192.54458540000002,192.6890653,192.8504301,192.98398899999998,193.1151168,193.2332155,193.27258510000001,193.2756554,193.329982,193.43229399999998,193.48796030000003,193.52050930000001,193.608201,193.71697659999998,194.0056679,194.85008159999998,196.115207,197.0812674,197.67450530000002,198.67515469999998,199.9956857,200.9089719,201.5279017,201.8747841,202.41965390000001,204.77985990000002,206.66736930000002,206.4682872,206.1178282 -Jamaica,JAM,217.74339799999998,219.33453369999998,220.6289012,221.92650049999997,223.44469069999997,225.23859649999997,227.243675,229.41652819999996,231.6752539,233.9530009,236.25457059999997,238.588735,240.8931671,243.09095109999998,245.1247461,246.9715605,248.64681439999998,250.17885499999997,251.61726690000003,253.00120040000002,254.3312096,255.6072946,256.86759,258.1566944,259.5069252,260.9352724,262.4313943,263.9620499,265.47885499999995,266.94561400000003,268.3506925 -Jordan,JOR,34.17156618,35.4917951,36.90568903,38.5236854,40.41126473,42.61668178,45.07787851,47.61508386,49.98140299,52.00411378,53.63615141,54.94720082,56.02872847,57.02359474,58.05182457,59.12665458,60.26185403,61.58238894,63.23939257,65.34037851,67.90049864,70.88939257,74.30278785,77.64428925,81.79250957,86.3159608,91.13394909,95.97229106,100.4736314,104.3768304,107.58579640000002 -Japan,JPN,333.12859879999996,334.8628634,336.29456939999994,337.67416349999996,338.82885350000004,339.8820625,340.72682389999994,341.56884260000004,342.73450360000004,344.0455293,345.01234569999997,345.8353909,346.776406,347.41015089999996,347.9917695,348.8312757,349.6433471,350.3923182,350.5102881,350.54320989999997,350.76543210000006,351.1687243,351.3388203,351.2949246,351.30983399999997,350.65490800000003,350.09052010000005,349.5858021,349.1222295,348.7519201,348.350096 -Kazakhstan,KAZ,5.871957995,5.941123458,6.002889951,6.019002111,6.0554876470000005,6.093454828,6.089230285,6.048975442000001,5.961847242,5.85829018,5.770231507,5.679780346,5.58258325,5.529661073,5.5130666370000005,5.503698559,5.5039256210000005,5.522472127,5.560982702,5.610634145,5.670290773,5.735523206,5.805830277,5.960966774,6.045809534,6.132978109,6.219983331,6.310164092000001,6.40378005,6.4980575620000005,6.591123088 -Kenya,KEN,36.23459957,37.56916049,38.92482693,40.2978037,41.68496152,43.08553783,44.49885441,45.9222968,47.3530467,48.78992164,50.2327213,51.68439927,53.15122465,54.64166462,56.16290719,57.71614014,59.30305197,60.93189549,62.61248726,64.35129318,66.15074147,68.00775205,69.91598025,71.86595917,73.84945005,75.86579225,77.9130091,79.98012616,82.05359138,84.12400464,86.18562392 -Kyrgyz Republic,KGZ,21.20177268,21.60896767,21.99374348,22.45828989,22.89468196,23.2721585,23.54223149,23.54900938,23.54066736,23.77685089,24.13138686,24.48592284,24.86444213,25.2367049,25.53910323,25.78258603,26.02033368,26.29457769,26.61470282,26.91657977,27.20750782,27.46819604,27.73044838,28.06725756,28.40406674,28.75182482,29.234619399999996,29.82064651,30.42492179,31.05787278,31.69708029 -Cambodia,KHM,45.0994165,46.44279402,47.7901201,49.23710628,50.84747904,52.62462610000001,54.52010537,56.48500453,58.45172785,60.36787899,62.21910832,64.00747791,65.71781101,67.33774077,68.86040675,70.27763426,71.59374009,72.8311976,74.02259801,75.19461817,76.35230569,77.4980852,78.65303648,79.84140041,81.07983231,82.37833107,83.73246091,85.12537956,86.53128824,87.93018355,89.31731815 -Kiribati,KIR,80.87037037,83.02222222,85.29506173,87.47283951,89.38271605,90.97777778,92.3037037,93.47654321,94.65432099,95.95432099,97.41111111,98.9962963,100.6864198,102.4345679,104.1925926,105.98641979999998,107.78395060000001,109.6728395,111.7271605,113.9814815,116.4728395,119.1691358,121.9271605,124.60493829999999,127.07037040000002,129.2938272,131.32098770000002,133.1975309,135.05061730000003,136.9506173,138.9185185 -St. Kitts and Nevis,KNA,159.5346154,157.85,156.3115385,155.20769230000002,154.8423077,155.30384619999998,156.5269231,158.2115385,160.0653846,161.82307690000002,163.3653846,164.82307690000002,166.2346154,167.74615380000003,169.5153846,171.5346154,173.7115385,175.94615380000002,178.1692308,180.21923080000002,182.07307690000002,183.7615385,185.3269231,186.9192308,188.5230769,190.1807692,191.8730769,193.5807692,195.2846154,196.9346154,198.5576923 -"Korea, Rep.",KOR,427.26180800000003,431.49170639999994,435.73758030000005,440.06881610000005,444.42549239999994,448.8461953,453.5347502,458.1653328,462.79846569999995,467.4786544,471.9539808999999,476.4003732,479.85178310000003,483.2746942,487.33268710000004,489.66470949999996,492.2485381,494.75547520000003,496.6176307,497.51740839999997,499.9823699,502.3074494,505.77078049999994,508.0139603999999,509.8159671,513.8042803000001,515.8755831999999,517.6122906,520.8524992,523.5255477,525.3700514999999 -Latin America & Caribbean (excluding high income),LAC,20.25372806,20.66689759,21.07875988,21.48949713,21.89913494,22.30706963,22.71272414,23.11622846,23.51800618,23.91825462,24.31705378,24.71379922,25.14476349,25.53328996,25.91525588,26.28952393,26.65749234,27.01710608,27.37154672,27.72191411,28.06829082,28.41045609,28.74921775,29.08547269,29.41414695,29.74917848,30.08325477,30.41684982,30.74197628,31.06020212,31.37105594 -Lao PDR,LAO,16.43933276,16.92170711,17.42119151,17.93260399,18.45091854,18.97415945,19.49892114,20.01708839,20.519259100000003,20.99862652,21.45231802,21.88178076,22.29030329,22.68347487,23.06629116,23.43839688,23.80089255,24.16221837,24.532963600000002,24.92060659,25.32961005,25.75800693,26.19852686,26.64048094,27.07610485,27.50245667,27.92257366,28.34187175,28.76844021,29.20781629,29.66137782 -Lebanon,LBN,260.1047898,260.797654,262.43157379999997,266.514174,274.002346,285.6017595,300.6971652,317.3143695,332.6839687,344.90518080000004,352.94868039999994,357.6172043,361.0478983,366.3505376,375.6381232,390.127175,408.81769310000004,428.97116320000003,446.6645161,459.31212120000004,465.27399800000006,466.0160313,465.7615836,470.4815249,484.1701857,508.53792769999995,541.4109482000001,578.1643206,612.1612903,638.5804497,656.0235582 -Liberia,LBR,22.40893895,22.35585548,22.15632267,21.86909261,21.55224252,21.1808451,20.78098007,20.52220723,20.62388912,21.22779277,22.43021179,24.15076827,26.13663829,28.02857143,29.57284053,30.66784676,31.40291736,31.94620017,32.5545162,33.41067276,34.56406769,35.94176703,37.45701827,38.97563331,40.4002907,41.70933347,42.93665905,44.10645764,45.26064161,46.4309593,47.62030731 -Libya,LBY,2.270250747,2.335681485,2.398609864,2.460267456,2.5214891390000003,2.582630688,2.643239142,2.702486445,2.759172852,2.8125521439999996,2.862208873,2.9087187560000003,2.953487843,2.998468918,3.0450521160000004,3.09356309,3.143485797,3.194327495,3.2452538730000002,3.2955283769999997,3.3456880780000002,3.3956528410000004,3.4433704260000004,3.4861293289999997,3.522320038,3.55060925,3.572382555,3.5920519,3.615738773,3.6477232689999997,3.6896938969999997 -St. Lucia,LCA,210.57213109999998,214.51803280000001,218.6344262,222.6032787,226.2622951,229.5,232.3934426,235.0967213,237.84098360000002,240.7704918,243.9901639,247.39836069999998,250.85409840000003,254.0901639,256.9327869,259.3098361,261.2983607,263.1639344,265.27213109999997,267.8967213,271.1163934,274.8180328,278.70655739999995,282.3295082,285.3852459,287.7770492,289.5836066,291.00491800000003,292.2885246,293.6491803,295.12131150000005 -Latin America & Caribbean,LCN,20.38554889,20.79360307,21.20072721,21.60712305,22.01295688,22.41711015,22.81928731,23.21988913,23.61882055,24.01592118,24.41161229,24.80457232,25.23043008,25.61359422,25.98962686,26.35782614,26.71971145,27.07346847,27.42227977,27.76720266,28.10817375,28.44514499,28.77906191,29.11068278,29.43513174,29.76413217,30.09198668,30.41982719,30.73963189,31.05393343,31.36251527 -Least developed countries: UN classification,LDC,25.61506592,26.29579117,27.0005252,27.73145426,28.48959559,29.27667398,30.09086306,30.925292100000004,31.78299531,32.63308038,33.48423494,34.3389054,35.20352624,36.08761986,36.99712547,37.93651273,38.90241641,39.88905116,40.89203396,41.89764582,42.90750744,43.92567109,44.95894519,46.01511205,47.09948444,48.21663511,49.36534516,50.54369689,51.75009033,52.98328096,54.24313284 -Low income,LIC,21.772319,22.34625362,22.94850657,23.58307776,24.25219935,24.95925989,25.70231243,26.47168246,27.25393679,28.03993674,28.82553108,29.61499735,30.41793496,31.24832919,32.11625173,33.02395968,33.96804068,34.94643978,35.9535914,36.98596638,38.04475957,39.13016243,40.2348484,41.34943216,42.4655728,43.58425402,44.70883941,45.84769896,47.01840825,48.22226867,49.46503214 +Guinea,GIN,22.9098893048999,23.609498616311196,24.3467605404525,25.0996052417386,25.851713332248103,26.5950634868957,27.3320771609963,28.069208855608,28.817825166856604,29.5849951163926,30.3751505778935,31.1821382060882,31.990806609148603,32.780168484453895,33.5370747191926,34.2547655868468,34.9425118020511,35.622224483151605,36.3248534917793,37.073013999674394,37.87817434478271,38.7358049812795,39.633696890770004,40.5521284388735,41.478821422757605,42.4079073742471,43.350272668077494,44.330172554126605,45.3808277714472,46.5248575614521,47.771614032231795 +"Gambia, The",GMB,78.17658102766799,82.11689723320158,86.3086956521739,90.477766798419,94.426185770751,98.09021739130439,101.529150197628,104.82826086956499,108.12371541501999,111.519268774704,115.028754940711,118.62905138339899,122.344367588933,126.19891304347799,130.207806324111,134.394664031621,138.760968379447,143.27322134387398,147.878162055336,152.543577075099,157.257411067194,162.040316205534,166.925395256917,171.964328063241,177.193280632411,182.623221343874,188.242193675889,194.042588932806,200.00415019762798,206.112648221344,212.365513833992 +Guinea-Bissau,GNB,31.739758179231895,32.459246088193495,33.180832147937394,33.918563300142196,34.6821123755334,35.4737553342816,36.2855618776671,37.1060810810811,37.921266002845,38.721692745377,39.503307254622996,40.2741820768137,41.051600284495,41.8609886201991,42.72051920341389,43.6381934566145,44.61070412517779,45.636735419630206,46.7102418207681,47.8282361308677,48.9893669985775,50.197119487909,51.4557610241821,52.7710170697013,54.146479374111,55.582823613086795,57.07606685633,58.6151137980085,60.18630867709821,61.7781650071124,63.3868065433855 +Equatorial Guinea,GNQ,13.1559001782531,13.653511586452801,14.080606060606101,14.496256684492,14.944313725490199,15.431479500891301,15.945311942959002,16.4932976827094,17.080142602495503,17.710089126559698,18.390481283422503,19.1251336898396,19.9105882352941,20.7404634581105,21.6107308377897,22.519286987522303,23.4718003565062,24.48,25.559679144385,26.7213903743316,27.967771836007103,29.293654188948302,30.6894830659537,32.1425668449198,33.6413190730838,35.1819251336898,36.7626024955437,38.3747950089127,40.009839572192504,41.6601782531194,43.321889483065995 +Greece,GRC,77.32515903801401,77.58413498836309,77.86643134212571,78.2738401861908,79.1062218774244,80.0614972847168,80.67541505042671,81.15139643134209,81.55874321179209,81.9406749418154,82.30256012412721,82.709534522886,83.1691931730023,83.48873545384019,83.83093871218,84.26789759503491,84.5773622963538,84.77944142746321,84.9894569433669,85.2390535298681,85.4954383242824,85.71352211016291,85.94135764158258,86.16770364623741,86.278828549263,86.15127230411171,85.6866640806827,85.067579519007,84.5028161365399,83.947889837083,83.59946470131891 +Grenada,GRD,294.679411764706,292.45882352941203,288.588235294118,285.070588235294,283.326470588235,283.705882352941,285.779411764706,288.911764705882,292.211764705882,294.964705882353,297.061764705882,298.72647058823503,300.061764705882,301.270588235294,302.45,303.673529411765,304.805882352941,305.897058823529,306.90294117647096,307.826470588235,308.626470588235,309.382352941176,310.16470588235296,311.144117647059,312.45,314.105882352941,316.017647058824,318.147058823529,320.3,322.35,324.297058823529 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income,HIC,28.3263372839932,28.521050581280303,28.719600298334303,28.9312039962475,29.1529068057585,29.3858660099951,29.5574228562708,29.783523244270395,29.9988375666505,30.250720301606805,30.4529745334442,30.590029129923895,30.7827201100975,30.973260877037102,31.130843214892,31.321767840813997,31.5159736648325,31.7145343632138,31.925882372519002,32.1426545225788,32.379450311612,32.6232587723886,32.896586880579,33.1314179157526,33.3426855138059,33.495299264374104,33.6900896178022,33.8827476756383,34.0818308992124,34.2759762487505,34.458333947087105 +"Hong Kong SAR, China",HKG,5580.40404040404,5636.86868686869,5684.44444444444,5743.636363636359,5762.121212121209,5810.101010101011,5859.090909090911,5960.606060606059,6096.363636363641,5862.952380952379,6129.047619047621,6180.28571428571,6232.095238095239,6291.904761904761,6347.61904761905,6394.571428571429,6422.952380952379,6410.28571428571,6460.47619047619,6488.761904761899,6530.571428571429,6586.952380952379,6626.47619047619,6640.761904761899,6689.71428571429,6734.8571428571395,6809.61904761905,6837.047619047621,6885.238095238101,6944.095238095239,6987.238095238101 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(HIPC),HPC,18.204706504854,18.7074768464273,19.2342398968677,19.7888737027958,20.3735128816643,20.9912499961139,21.6399918032692,22.3103389083498,22.9893003270431,23.6680202885365,24.3424759639609,25.0167252843998,25.699904493113998,26.4053474827706,27.1426891782545,27.915622217440003,28.721297969305102,29.554985000604898,30.409142319865303,31.278681371967803,32.1622161948864,33.062848328221506,33.985294703975,34.9362307275387,35.918992577554896,36.9370628649058,37.988486307253105,39.0713406932401,40.1832584900496,41.3221159053859,42.4878378477195 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only,IBD,45.5365971811442,46.3874933450173,47.24070563836761,48.07956499057649,48.8940933274278,49.6890681791068,50.4547144982412,51.2070865549015,51.9496653797007,52.6760180986471,53.3926500724963,54.1042226020586,54.8254309109633,55.5018980387335,56.1772814371479,56.8208443288959,57.4540311775529,58.08140775864761,58.7032071576871,59.3231439775385,59.9398010461295,60.5460044166512,61.1548005315438,61.77245944806501,62.38338622880649,63.0032544752763,63.6295490149756,64.260500493378,64.8886243082005,65.509768328239,66.1279841313372 +IDA & IBRD total,IBT,42.620414127198295,43.4897201246583,44.366712107857,45.2388466485517,46.099480243471405,46.9489762916316,47.78255058682839,48.6100817907883,49.43675462454579,50.250572068267495,51.0601193016644,51.8685856880414,52.6849331690246,53.4699780043351,54.260457777511704,55.03264502907761,55.8017140683055,56.5715768968845,57.3437029266979,58.1189163090797,58.89771064586721,59.6751881695302,60.4606692709705,61.257512476083406,62.0560608769837,62.8649274436741,63.679649448574295,64.5038613326096,65.3344702954416,66.1679430610053,67.0084787019238 +IDA total,IDA,33.3666454318717,34.2943703758043,35.2468211849522,36.2246717563618,37.231606677086894,38.2543815802452,39.30349836271729,40.3699454214165,41.4615167635139,42.553245540277295,43.6577003965079,44.773596005955106,45.8943606343028,47.0232407559307,48.180837507177294,49.3610547499211,50.5612249830461,51.7829846578331,53.0315098621176,54.2992284643432,55.592500552442296,56.913231248996,58.25910890574221,59.6243239878588,61.01795649009561,62.4262317101822,63.8385405725111,65.2756689311038,66.748525502322,68.2554249823816,69.8010729106559 +IDA blend,IDB,56.7880039914221,58.48712651938379,60.214054886631295,61.958348228691996,63.7383938645617,65.4882751975685,67.2579632761702,69.0442358967082,70.84959181758471,72.6915099888542,74.5893918345208,76.5325893664304,78.4966615324406,80.4509361761535,82.4314168861873,84.410494190238,86.3996702041713,88.4131799321184,90.47531200150141,92.602768362487,94.80371907162821,97.0832488436548,99.43529913923521,101.845007632679,104.374214589289,106.94175498985001,109.47494467165701,112.058842121404,114.695676722273,117.380135580187,120.106727285627 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only,IDX,27.685657627523998,28.426275565856198,29.190872303639303,29.9828176884763,30.802230073607202,31.648963733103102,32.5233102617703,33.4151679400523,34.330874828319395,35.240579707772,36.152519615235896,37.0676809550679,37.983827755223,38.9124364136322,39.8705323768771,40.856920172463106,41.865651927554495,42.895213501773895,43.9454093094657,45.00447326166471,46.077577456730296,47.1656801908968,48.2672861051793,49.37903851114451,50.4974977485738,51.624646556520396,52.764890276768206,53.9237147199241,55.1133730092649,56.334521292806606,57.593612463240994 +Isle of Man,IMN,114.38245614035101,116.615789473684,119.16842105263201,121.521052631579,123.329824561404,124.442105263158,125.00701754386002,125.31228070175399,125.721052631579,126.54561403508801,127.856140350877,129.561403508772,131.478947368421,133.335087719298,134.984210526316,136.321052631579,137.4,138.39298245613998,139.508771929825,140.885964912281,142.605263157895,144.57543859649098,146.505263157895,148.02807017543898,148.871929824561,148.92280701754402,148.30350877193,147.326315789474,146.47017543859698,146.024561403509,146.117543859649 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Rep.",IRN,30.2440230604877,31.4311390260075,32.587559247525704,33.658736093715504,34.6068278936123,35.4128502664604,36.0890309192269,36.6682408703554,37.2004555612859,37.723583585058606,38.24683808541471,38.7634224809057,39.2764041356615,39.7854073037157,40.2904080404725,40.7973624106682,41.3104422996635,41.825031312163894,42.3336040914561,42.831569414769504,43.3180824676441,43.798027333677204,44.279454308799295,44.77322441612021,45.2875310051819,45.823175912964494,46.37875561777061,46.9571594341708,47.5611833542081,48.191394066651895,48.849441292762606 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+Japan,JPN,333.128598848369,334.862863411958,336.294569391114,337.674163466813,338.828853538124,339.882062534284,340.726823916621,341.568842567197,342.734503565551,344.04552934723,345.012345679012,345.835390946502,346.776406035665,347.410150891632,347.99176954732496,348.831275720165,349.643347050754,350.39231824417,350.51028806584395,350.54320987654296,350.765432098765,351.168724279835,351.338820301783,351.29492455418404,351.30983404196996,350.65490803856795,350.090520078999,349.585802062761,349.122229536976,348.751920122888,348.35009600614404 +Kazakhstan,KAZ,5.87195799533281,5.94112345816202,6.00288995073527,6.01900211134571,6.05548764677557,6.09345482831426,6.08923028484646,6.04897544171575,5.96184724228618,5.85829018039041,5.7702315072045005,5.67978034596437,5.58258324999074,5.52966107345261,5.513066637033741,5.503698559099161,5.503925621365339,5.52247212653258,5.560982701781679,5.610634144534579,5.67029077304886,5.7355232062821795,5.805830277438231,5.9609667740860095,6.04580953439271,6.13297810867874,6.219983331481281,6.310164092306549,6.40378004963514,6.49805756195133,6.59112308775049 +Kenya,KEN,36.234599571283,37.5691604877535,38.9248269318621,40.2978037038339,41.68496152089121,43.085537829005204,44.4988544119197,45.9222967986787,47.3530467020417,48.789921636152805,50.2327212988017,51.6843992690726,53.1512246547422,54.6416646167902,56.1629071933092,57.71614014126579,59.303051973152506,60.93189549144321,62.6124872614822,64.3512931791826,66.15074146958571,68.007752046948,69.9159802509049,71.8659591664617,73.84945004744,75.8657922479531,77.91300910145131,79.9801261552518,82.05359138349091,84.1240046385775,86.1856239238149 +Kyrgyz Republic,KGZ,21.2017726798749,21.608967674661102,21.9937434827946,22.458289885297198,22.8946819603754,23.272158498435896,23.542231491136604,23.5490093847758,23.540667361835197,23.776850886339897,24.131386861313896,24.4859228362878,24.8644421272158,25.236704900938502,25.539103232533897,25.782586027111602,26.020333680917602,26.2945776850886,26.6147028154327,26.916579770594396,27.2075078206465,27.4681960375391,27.7304483837331,28.0672575599583,28.404066736183502,28.7518248175182,29.2346193952033,29.820646506777898,30.4249217935349,31.0578727841502,31.697080291970803 +Cambodia,KHM,45.0994164967143,46.442794017675,47.7901200997054,49.2371062769091,50.8474790392024,52.624626104690705,54.52010537049629,56.4850045320644,58.4517278495355,60.3678789938817,62.2191083163381,64.0074779061863,65.7178110129164,67.3377407659189,68.8604067527759,70.27763426240651,71.5937400861092,72.8311975980059,74.02259800589171,75.19461817357809,76.3523056877408,77.4980852028099,78.6530364831181,79.8414004078858,81.07983231361891,82.3783310673012,83.73246091094491,85.12537956038979,86.531288239293,87.93018354860641,89.3173181509177 +Kiribati,KIR,80.87037037037041,83.0222222222222,85.29506172839508,87.47283950617279,89.38271604938271,90.9777777777778,92.3037037037037,93.4765432098765,94.6543209876543,95.9543209876543,97.41111111111108,98.9962962962963,100.686419753086,102.43456790123501,104.192592592593,105.986419753086,107.78395061728399,109.672839506173,111.727160493827,113.981481481481,116.472839506173,119.169135802469,121.927160493827,124.604938271605,127.07037037036999,129.293827160494,131.32098765432102,133.197530864198,135.050617283951,136.950617283951,138.918518518519 +St. Kitts and Nevis,KNA,159.534615384615,157.85,156.311538461538,155.20769230769199,154.842307692308,155.303846153846,156.526923076923,158.211538461538,160.065384615385,161.823076923077,163.365384615385,164.823076923077,166.234615384615,167.74615384615402,169.515384615385,171.534615384615,173.711538461538,175.94615384615398,178.169230769231,180.219230769231,182.07307692307702,183.761538461538,185.32692307692298,186.919230769231,188.523076923077,190.18076923076902,191.873076923077,193.580769230769,195.284615384615,196.93461538461497,198.55769230769198 +"Korea, Rep.",KOR,427.261808003317,431.491706406801,435.73758034418404,440.068816089571,444.425492432096,448.84619531412005,453.534750155505,458.16533278042704,462.798465685258,467.47865436450303,471.953980924736,476.40037321169405,479.851783122538,483.274694173751,487.332687124197,489.664709530701,492.248538072115,494.755475206612,496.617630654823,497.517408363449,499.982369942197,502.30744944283896,505.77078049283404,508.01396043684304,509.81596707818903,513.804280275749,515.875583187751,517.6122905787271,520.852499230217,523.5255477448819,525.370051470148 +Latin America & Caribbean (excluding high income),LAC,20.253728060621103,20.6668975932232,21.0787598834484,21.4894971284655,21.8991349440102,22.307069628083703,22.7127241442481,23.116228460867,23.5180061824208,23.918254623561502,24.3170537809718,24.713799217775197,25.144763490869398,25.533289963206396,25.9152558758637,26.2895239326875,26.6574923375374,27.0171060773417,27.371546717052198,27.7219141123001,28.0682908249366,28.4104560927589,28.7492177474259,29.0854726925271,29.414146945406102,29.749178483945897,30.0832547707284,30.4168498243611,30.741976283628997,31.060202124935497,31.3710559426845 +Lao PDR,LAO,16.439332755632602,16.9217071057192,17.421191507799,17.9326039861352,18.450918544194103,18.9741594454073,19.4989211438475,20.017088388214898,20.5192590987868,20.9986265164645,21.4523180242634,21.881780762564997,22.2903032928943,22.6834748700173,23.066291161178498,23.438396880415898,23.800892547660304,24.1622183708839,24.5329636048527,24.920606585788605,25.329610051993104,25.758006932409,26.198526863084897,26.6404809358752,27.0761048526863,27.5024566724437,27.9225736568458,28.341871750433302,28.7684402079723,29.207816291161198,29.6613778162912 +Lebanon,LBN,260.104789833822,260.797653958944,262.431573802542,266.514173998045,274.002346041056,285.601759530792,300.697165200391,317.314369501466,332.683968719453,344.90518084066497,352.948680351906,357.617204301075,361.047898338221,366.350537634409,375.638123167155,390.12717497556196,408.817693059629,428.971163245357,446.664516129032,459.312121212121,465.273998044966,466.01603128054705,465.761583577713,470.481524926686,484.17018572825,508.53792766373397,541.410948191593,578.1643206256109,612.1612903225811,638.580449657869,656.023558162268 +Liberia,LBR,22.4089389534884,22.355855481727602,22.1563226744186,21.8690926079734,21.552242524916895,21.180845099667803,20.7809800664452,20.5222072259136,20.6238891196013,21.2277927740864,22.4302117940199,24.1507682724253,26.136638289036497,28.0285714285714,29.5728405315615,30.6678467607973,31.402917358804,31.946200166112998,32.5545161960133,33.4106727574751,34.5640676910299,35.941767026578106,37.4570182724253,38.9756333056478,40.4002906976744,41.7093334717608,42.9366590531561,44.106457641196,45.2606416112957,46.430959302325604,47.6203073089701 +Libya,LBY,2.27025074735442,2.33568148493356,2.39860986394171,2.4602674562669797,2.5214891392068397,2.58263068756607,2.64323914204849,2.70248644532094,2.75917285199541,2.8125521443104398,2.8622088727735697,2.9087187560385095,2.95348784341362,2.99846891801266,3.04505211589393,3.0935630903531597,3.14348579742433,3.19432749468611,3.2452538731714,3.29552837673483,3.3456880775657303,3.39565284108347,3.4433704263614398,3.4861293292565096,3.5223200381917996,3.5506092501449196,3.5723825545313,3.5920518999283906,3.61573877263376,3.64772326858156,3.6896938972686 +St. Lucia,LCA,210.572131147541,214.518032786885,218.63442622950802,222.60327868852502,226.262295081967,229.5,232.393442622951,235.096721311475,237.84098360655702,240.770491803279,243.990163934426,247.398360655738,250.85409836065602,254.09016393442602,256.932786885246,259.309836065574,261.298360655738,263.16393442622996,265.272131147541,267.896721311475,271.116393442623,274.818032786885,278.70655737704897,282.329508196721,285.385245901639,287.777049180328,289.58360655737704,291.00491803278703,292.288524590164,293.649180327869,295.12131147541 +Latin America & Caribbean,LCN,20.3855488937163,20.7936030723766,21.200727213108,21.607123047499698,22.012956883292798,22.4171101539508,22.8192873119837,23.2198891301509,23.6188205469873,24.0159211836375,24.4116122899377,24.8045723221976,25.2304300808002,25.613594224131102,25.9896268590755,26.3578261356423,26.7197114519694,27.073468472831802,27.4222797652412,27.767202661469398,28.108173751402997,28.445144989739,28.779061913302197,29.110682783828896,29.435131738077803,29.7641321747825,30.091986675308103,30.419827191921396,30.7396318936835,31.053933428625303,31.362515271188997 +Least developed countries: UN classification,LDC,25.6150659230503,26.2957911727268,27.0005251978267,27.7314542566885,28.4895955944795,29.2766739755066,30.0908630628829,30.9252921046488,31.782995313740397,32.633080383667696,33.4842349427494,34.338905395352896,35.2035262403905,36.0876198607141,36.997125473676,37.9365127311728,38.9024164134036,39.889051158525604,40.892033957649296,41.8976458209747,42.90750744182579,43.925671092158204,44.958945186374706,46.01511205350079,47.099484438142994,48.2166351050327,49.3653451597916,50.54369688951,51.750090330482294,52.983280957349,54.24313283780371 +Low income,LIC,21.772319004045602,22.346253620158897,22.9485065720423,23.583077760573502,24.252199353947,24.959259892836105,25.702312425208696,26.4716824636026,27.2539367904069,28.0399367376483,28.8255310832059,29.614997350079697,30.4179349646398,31.2483291912507,32.1162517256457,33.0239596764459,33.968040681673,34.9464397799454,35.9535914018034,36.985966377821796,38.044759569804505,39.130162426347,40.2348484012768,41.349432159281605,42.4655728008045,43.584254024079506,44.708839406504495,45.8476989568071,47.0184082492209,48.222268667072804,49.4650321436737 Liechtenstein,LIE,172.24375,173.98125,175.80625,177.80625,179.93125,182.24375,184.70625,187.34375,190.1625,193.0,195.925,198.9375,201.94375,204.80625,207.4,209.7,211.74375,213.59375,215.325,216.95625,218.5625,220.10625,221.69375,223.29375,224.9625,226.83125,228.84375,230.8375,232.64375,234.1875,235.3625 -Sri Lanka,LKA,261.6625578,265.4114495,269.14669110000006,272.7914687,276.28405360000005,279.6321001,282.8387976,285.8367565,288.54213039999996,290.9091373,292.8924892,294.5447297,296.03889330000004,297.6125658,299.4355127,301.57439,303.97834480000006,306.55456860000004,309.1556849,311.6725881,314.0802424,316.40956789999996,318.6730027,320.89791099999997,323.1021687,325.28575980000005,325.7056291,328.2570563,331.33471539999994,334.39642799999996,338.11194389999997 -Lower middle income,LMC,73.31338765,75.05715034,76.817167,78.58949739,80.45776289,82.23303799,84.01679,85.79603455,87.59406740000001,89.3674608,91.15029609,92.93939268,94.72793975,96.50832603,98.34902798,100.1191005,101.88919059999999,103.6601114,105.44152509999999,107.22085120000001,109.00816359999999,110.80576620000001,112.6140402,114.42972079999998,116.2655139,118.1041571,119.9304133,121.76978770000001,123.6134261,125.4681774,127.3292753 -Low & middle income,LMY,42.64401042,43.52343307,44.41139511,45.29420003,46.18781704,47.05363282,47.90348455,48.74394037,49.58331261,50.41086139,51.23471237,52.05680565,52.88600727,53.68361807,54.49155607,55.28118005,56.0676562,56.85169046,57.63750947,58.42595532,59.21773047,60.00975346,60.80991650000001,61.61964547,62.43208392,63.25345535,64.08140234,64.92045429999999,65.76452607,66.61134386,67.46497125 -Lesotho,LSO,51.43913043,52.58214756,53.72187088,54.89337945,56.11814888,57.39588274,58.70503953,60.02094862,61.30843215,62.53616601,63.71182477,64.82358366,65.79433465,66.52605402,66.95665349,67.05335968,66.85866271,66.48050066,66.07180501,65.74815547,65.54476285,65.44538867,65.45220685,65.55108696,65.73059947,66.00088933,66.3698946,66.81551383,67.30688406,67.82019104,68.3465415 -Late-demographic dividend,LTE,39.09807685,39.71309229,40.33100593,40.92908225,41.49533456,42.035218799999996,42.48725202,42.96455143,43.43266624,43.91695953,44.35181421,44.77917345,45.18762333,45.56328659,45.93382178,46.26596559,46.57766695,46.88247445,47.18382151,47.48826109,47.79416155,48.09000625,48.39056469,48.69589689,48.98755179,49.27957405,49.57407652,49.87308294,50.1778864,50.48201065,50.79647353 -Lithuania,LTU,57.09818124,57.69570836,58.31284301,58.77879706,58.99550096,59.09594767,59.03181238,58.75260051,58.34626675,57.89888322,57.46032227,57.03792278,56.62621251,56.22587747,55.83178047,55.373612,54.93087109,54.48648692,53.87803127,53.00778558,52.168299299999994,51.55223357,51.02881532,50.46535301,49.4181412,48.31533087,47.67165087,47.19088951,46.80553871,46.36727853,45.78766499 -Latvia,LVA,41.80159496,42.23073831,42.66245418,42.87984758,42.81868609,42.61658306,42.03386004,41.21309987,40.52900444,39.95523765,39.50771692,39.115875,38.74877745,38.43465757,38.065952200000005,37.57749636,37.14343308,36.78620754,36.3869375,35.99586734,35.66719669,35.37727451,35.00742758,34.44305243,33.70107648,33.114292600000006,32.71661306,32.36287184,32.06468318,31.80326472,31.51394339 -"Macao SAR, China",MAC,14779.55,15409.0,16038.65,16639.15,17190.4,17681.3,18115.55,18509.95,18889.9,19275.65,19668.65,20067.6,20480.8,20919.15,21389.1,16843.76985,16622.99971,17043.14785,16842.75029,17244.92887,17265.699930000002,17277.77352,17645.170769999997,17844.06751,18121.85168,18422.47486,18864.18054,19055.1817,19478.81207,19805.427880000003,20159.0792 -St. Martin (French part),MAF,267.62867650000004,354.31985289999994,448.125,527.9779411999999,579.4117647,596.4889706,584.7610294,555.1470588,523.6029411999999,502.2242647,493.54779410000003,494.6507353,503.5294118,516.8382353000001,531.8933824,548.7683824,568.1985294,589.2095588,610.0367647,629.5588235,647.7389706,664.2830882000001,678.0330882000001,687.0772059,690.8455882000001,688.3455882000001,680.3125,670.0919117999999,662.0404412,659.1544117999999,662.9595588 -Morocco,MAR,51.49077974,52.53697513,53.55947121,54.57230338,55.58472328,56.59960565,57.61014116,58.60453283,59.56638584,60.48453955,61.35665024,62.18814923,62.98553215,63.75870267,64.51642169,65.26177459,65.99768765,66.73287923,67.47751288,68.24010979,69.02236836,69.82673762,70.66280753,71.54175891,72.47006274,73.45249832,74.48330271,75.54490925,76.6129218,77.66883935,78.70557024 +Sri Lanka,LKA,261.662557805773,265.411449529581,269.146691117844,272.791468665285,276.284053579971,279.632100143518,282.83879763992996,285.836756498166,288.542130441716,290.909137298676,292.892489236166,294.544729708181,296.03889331845,297.612565778983,299.435512677404,301.574390049434,303.97834476160097,306.554568649338,309.15568489874,311.672588103971,314.080242385584,316.409567852017,318.673002710891,320.897911018976,323.102168713124,325.285759846914,325.70562908627005,328.257056290863,331.334715356403,334.396428001914,338.111943868601 +Lower middle income,LMC,73.31338764899921,75.05715034115391,76.8171670031152,78.5894973876792,80.45776289420292,82.2330379866559,84.016789995748,85.7960345502093,87.5940674045487,89.3674607958156,91.15029608801291,92.93939268467301,94.72793975448309,96.5083260304089,98.34902798144908,100.119100548902,101.889190613179,103.660111363113,105.44152512116699,107.22085124703001,109.00816358197599,110.805766238941,112.614040213763,114.429720753028,116.265513933934,118.10415706633002,119.930413349525,121.769787685082,123.613426061628,125.468177369023,127.32927530852 +Low & middle income,LMY,42.6440104199649,43.5234330746821,44.411395110721905,45.294200030027895,46.18781703699229,47.053632815697604,47.9034845527307,48.743940367408506,49.5833126112922,50.410861393529395,51.2347123747745,52.05680564735471,52.8860072675762,53.6836180738517,54.491556066339705,55.2811800524561,56.067656202334604,56.8516904583967,57.637509467136,58.4259553230388,59.2177304671344,60.009753464296296,60.809916502445496,61.619645474069394,62.432083915911,63.25345534669621,64.0814023386473,64.92045430053629,65.76452606633,66.61134386090829,67.4649712470463 +Lesotho,LSO,51.4391304347826,52.58214756258229,53.721870882740404,54.8933794466403,56.1181488801054,57.395882740447995,58.7050395256917,60.0209486166008,61.3084321475626,62.5361660079051,63.7118247694335,64.8235836627141,65.7943346508564,66.52605401844531,66.9566534914361,67.0533596837945,66.8586627140975,66.4805006587615,66.0718050065876,65.7481554677207,65.5447628458498,65.4453886693017,65.4522068511199,65.5510869565217,65.7305994729908,66.0008893280632,66.3698945981555,66.8155138339921,67.306884057971,67.8201910408432,68.3465415019763 +Late-demographic dividend,LTE,39.0980768505381,39.713092289204795,40.3310059301638,40.9290822530543,41.495334555721605,42.0352188030481,42.4872520185329,42.964551425065004,43.432666236448,43.9169595339361,44.3518142138828,44.7791734503574,45.187623328774,45.5632865927007,45.9338217827526,46.2659655904395,46.5776669528599,46.882474451310394,47.1838215070036,47.4882610864841,47.7941615477622,48.0900062462687,48.3905646911925,48.695896886800696,48.987551790618,49.279574051698,49.574076524421606,49.8730829445095,50.17788640124479,50.4820106459231,50.796473525690004 +Lithuania,LTU,57.0981812380345,57.6957083599234,58.3128430121251,58.7787970644544,58.9955009572431,59.0959476707084,59.031812380344604,58.752600510529696,58.3462667517549,57.8988832163369,57.4603222718571,57.0379227823867,56.626212507977,56.2258774728781,55.83178047223989,55.3736119974473,54.9308710912572,54.4864869176771,53.878031269942596,53.00778557753671,52.16829929802171,51.5522335673261,51.028815317112105,50.4653530115676,49.418141204627,48.3153308737745,47.6716508688507,47.1908895093738,46.805538707103004,46.3672785315243,45.7876649942685 +Latvia,LVA,41.801594957875096,42.230738311145394,42.6624541771175,42.879847578622396,42.8186860891376,42.6165830600039,42.0338600384479,41.2130998738316,40.5290044443516,39.955237651637,39.50771691778,39.115875004838,38.7487774480577,38.4346575738979,38.065952196704295,37.5774963551229,37.143433078125895,36.786207538683705,36.3869374954319,35.99586733628829,35.6671966873875,35.3772745104489,35.0074275807618,34.443052428433596,33.7010764781491,33.1142926045016,32.7166130588614,32.362871844348,32.0646831778707,31.803264715342603,31.5139433901576 +"Macao SAR, China",MAC,14779.55,15409.0,16038.65,16639.15,17190.4,17681.3,18115.55,18509.95,18889.9,19275.65,19668.65,20067.6,20480.8,20919.15,21389.1,16843.769848595,16622.9997064272,17043.147847155302,16842.7502868304,17244.928865108,17265.699934001397,17277.7735211679,17645.1707718425,17844.067508179098,18121.8516772827,18422.4748576286,18864.1805418385,19055.1816980769,19478.8120651133,19805.4278801043,20159.0792003315 +St. Martin (French part),MAF,267.628676470588,354.319852941176,448.125,527.9779411764711,579.411764705882,596.488970588235,584.761029411765,555.1470588235289,523.6029411764711,502.22426470588204,493.547794117647,494.65073529411796,503.52941176470597,516.838235294118,531.893382352941,548.768382352941,568.198529411765,589.2095588235289,610.036764705882,629.558823529412,647.738970588235,664.283088235294,678.033088235294,687.0772058823529,690.845588235294,688.345588235294,680.3125,670.091911764706,662.0404411764711,659.154411764706,662.9595588235289 +Morocco,MAR,51.4907797445664,52.5369751288371,53.559471207707794,54.5723033833744,55.5847232803047,56.5996056464262,57.610141160654294,58.6045328254537,59.56638583912171,60.48453954738971,61.3566502352678,62.188149226977394,62.985532153260095,63.7587026663679,64.5164216894466,65.2617745910822,65.9976876540444,66.732879229218,67.4775128837105,68.24010979162,69.0223683620883,69.8267376204347,70.6628075285682,71.5417589065651,72.47006273806859,73.452498319516,74.4833027111808,75.54490925386509,76.61292180147879,77.6688393457316,78.7055702442303 Monaco,MCO,14520.5,14584.0,14614.5,14652.5,14719.0,14811.0,14932.5,15073.0,15217.5,15358.0,15497.5,15640.0,15778.0,15922.0,16073.5,16235.0,16403.0,16576.5,16750.0,16921.5,17095.0,17262.5,17436.0,17613.0,17806.0,18012.0,18230.0,18450.5,18661.0,18859.0,19035.0 -Moldova,MDA,100.7971575,101.6646463,102.42021109999999,103.00787259999998,103.4276309,103.6514787,103.70745809999998,103.27974429999999,103.0085485,102.62825459999999,102.4229499,102.08032829999999,102.0746165,101.9499252,101.81366440000001,101.58623809999999,101.3512554,101.1014735,100.816485,100.536464,100.2574233,100.02537679999999,99.83513768,99.70919344,99.74856207,99.69090529,99.64309858,99.54702789,99.52102275,98.74002856,97.61277737 -Madagascar,MDG,17.80121746,18.30958146,18.83343364,19.3772707,19.94468652,20.53653919,21.15303504,21.79636826,22.46886371,23.17192283,23.90667538,24.67217044,25.46478488,26.27939781,27.11216081,27.96184613,28.82882863,29.71272999,30.61353819,31.53132029,32.46598514,33.41735736,34.38537848,35.37008116,36.3717715,37.373932399999994,38.40981961,39.4658869,40.54638536,41.65364043,42.78855277 -Maldives,MDV,654.2133332999999,676.76,699.2833333,721.7,743.86,765.8366667,787.55,808.6833333,828.6266667,847.13,863.9433332999998,879.4733332999999,894.85,911.7566667000001,931.3266667000001,954.3533332999999,980.62,1008.943333,1037.55,1065.36,1091.623333,1117.23,1144.84,1177.9933330000001,1219.113333,1268.316667,1324.123333,1385.31,1450.05,1516.383333,1585.043333 -Middle East & North Africa,MEA,20.00224866,20.62759386,21.25068968,21.86426423,22.64474699,23.25324788,23.66387877,24.23853272,24.79768088,25.48464216,26.01413482,26.53528391,27.04747712,27.56367808,28.0883466,28.62017219,29.16042775,29.71732574,30.29945333,30.91285499,31.56051667,32.23982719,32.94298781,33.66854749,34.38437238,35.0995115,35.81492821,36.52865915,37.23738294,37.94030914,38.63313059 -Mexico,MEX,39.91825819,40.74183029,41.55905296,42.37193909,43.1817341,43.9891062,44.79288973,45.5903907,46.37794182,47.15310836,47.91637851,48.66946269,49.41295867,50.14780833,50.8757144,51.59502714,52.30831966,53.0265799,53.76420793,54.53082795,55.33071993,56.15911006,57.00520641,57.85328172,58.69130533,59.51566295,60.32776306,61.12665501,61.91266648,62.68590139,63.44472646 -Middle income,MIC,45.92659566,46.8540638,47.7869606,48.70880636,49.63773077,50.52847626,51.39512461,52.24692278,53.09579888,53.93001487,54.75990303,55.58709867,56.42158624,57.21373571,58.01318235,58.78425986,59.54605682,60.29946532,61.05050851,61.80055762,62.55046893,63.29632321,64.04859706,64.81044642,65.57525263,66.34986594,67.13113571,67.92308495,68.71546346,69.50607744,70.29844672 -North Macedonia,MKD,78.15721589,78.34345262,78.47082186,78.52418403,78.49893826,78.38387731,78.20129768,78.01918993,77.92776249,77.98867479,78.23212741,78.63145891,79.12139206,79.60652772,80.01647659999999,80.33197011,80.57129375,80.74817145,80.89060165,81.01742037,81.12980731,81.86389219,81.93868411,82.03961142,82.10709754,82.17632831,82.24734338,82.31827914,82.38600317,82.44758128,82.50376685 -Mali,MLI,6.517726747,6.607347216,6.696925889,6.799691032,6.9250797010000005,7.077198632999999,7.2532425279999995,7.447345086,7.650349536,7.855869168,8.062327179,8.272783747,8.490940755,8.722359633,8.971098762999999,9.237577754,9.520555815,9.820351748,10.13700325,10.47010384,10.82075578,11.187982199999999,11.56670437,11.9501299,12.33361444,12.71489768,13.09591047,13.48139552,13.87834681,14.29185455,14.72346848 +Moldova,MDA,100.79715748772101,101.664646253527,102.42021109833799,103.00787264430299,103.42763089142001,103.65147873341,103.707458111262,103.279744329037,103.008548493589,102.62825459728201,102.42294990788099,102.08032826790001,102.07461648171999,101.949925183561,101.813664379984,101.586238116795,101.351255353972,101.10147350820401,100.81648500888001,100.53646395377199,100.25742332996799,100.02537682319799,99.8351376753577,99.7091934417099,99.7485620664413,99.69090528810959,99.6430985817333,99.5470278928858,99.5210227470652,98.7400285644616,97.6127773713728 +Madagascar,MDG,17.801217457096698,18.3095814561337,18.8334336417099,19.377270695051102,19.9446865219933,20.5365391890498,21.1530350448808,21.796368263576003,22.4688637067098,23.171922825601,23.906675379165698,24.6721704439935,25.464784881521503,26.279397805825898,27.1121608143894,27.9618461326822,28.828828627437503,29.7127299927778,30.6135381916979,31.531320287512496,32.4659851428965,33.4173573614885,34.3853784778347,35.3700811638064,36.371771503249995,37.373932398869,38.4098196100001,39.4658869027157,40.546385355792395,41.6536404262633,42.788552767274 +Maldives,MDV,654.213333333333,676.76,699.283333333333,721.7,743.86,765.836666666667,787.55,808.6833333333329,828.626666666667,847.13,863.9433333333329,879.473333333333,894.85,911.756666666667,931.326666666667,954.353333333333,980.62,1008.9433333333301,1037.55,1065.36,1091.62333333333,1117.23,1144.84,1177.9933333333302,1219.11333333333,1268.31666666667,1324.12333333333,1385.31,1450.05,1516.38333333333,1585.04333333333 +Middle East & North Africa,MEA,20.0022486622847,20.6275938583122,21.2506896794382,21.864264227616896,22.644746989862103,23.2532478846416,23.663878766284398,24.238532724640898,24.7976808818617,25.484642155661998,26.014134817949,26.535283910477702,27.047477118361,27.5636780759381,28.0883465983743,28.620172185725398,29.160427747466898,29.7173257426686,30.2994533255657,30.9128549884332,31.560516669591397,32.2398271891967,32.9429878070507,33.6685474867801,34.3843723811798,35.0995115046893,35.814928209628796,36.5286591453917,37.2373829413598,37.94030914357771,38.6331305941498 +Mexico,MEX,39.9182581856529,40.741830293989,41.5590529591811,42.371939093083704,43.181734098099206,43.9891062012912,44.792889734818296,45.5903906993493,46.377941819491205,47.1531083618406,47.916378507677706,48.6694626919417,49.41295866663239,50.1478083284035,50.875714395946396,51.595027135471604,52.3083196584274,53.026579901746395,53.7642079271586,54.530827953393896,55.330719925923994,56.1591100594151,57.0052064096299,57.853281720208905,58.691305331927296,59.5156629542941,60.3277630597495,61.1266550065588,61.91266647804729,62.6859013863525,63.4447264590139 +Middle income,MIC,45.9265956620753,46.8540638013285,47.786960596344,48.7088063564231,49.6377307717277,50.528476260785595,51.395124605518596,52.24692278299501,53.0957988846764,53.930014865276,54.759903030739096,55.587098673613504,56.4215862380161,57.2137357086286,58.0131823511417,58.784259858139,59.5460568225527,60.2994653207951,61.0505085068834,61.800557617319,62.55046892733629,63.296323212129295,64.0485970596351,64.8104464189847,65.5752526258232,66.3498659412045,67.1311357130609,67.92308494605601,68.7154634572937,69.5060774388101,70.2984467201523 +North Macedonia,MKD,78.1572158867479,78.34345261502159,78.4708218639402,78.5241840346048,78.4989382618954,78.3838773102635,78.2012976799056,78.01918993314979,77.9277624852536,77.98867479355091,78.2321274085726,78.631458906803,79.121392056626,79.60652772316159,80.0164766024381,80.3319701140385,80.5712937475423,80.74817145104208,80.8906016515926,81.0174203696422,81.1298073141958,81.86389219183509,81.9386841062228,82.03961141950829,82.10709754163359,82.1763283108644,82.24734337827121,82.31827914353691,82.38600317208571,82.4475812846947,82.503766851705 +Mali,MLI,6.51772674747375,6.6073472164171205,6.69692588859112,6.79969103172457,6.925079700702351,7.07719863299978,7.25324252780305,7.4473450856014205,7.65034953572804,7.855869167916469,8.062327178554161,8.27278374679353,8.4909407551283,8.72235963251625,8.97109876330735,9.23757775428417,9.52055581507798,9.82035174849818,10.137003253591699,10.470103836287802,10.8207557839353,11.1879821994935,11.566704365713502,11.950129897802801,12.3336144370959,12.7148976798695,13.0959104729591,13.481395520369801,13.8783468148403,14.291854547242599,14.723468476220901 Malta,MLT,1069.128125,1076.515625,1085.390625,1096.00625,1106.78125,1137.015625,1148.80625,1160.3375,1171.240625,1179.434375,1187.203125,1196.221875,1204.021875,1211.18125,1219.021875,1228.2125,1237.403125,1245.56875,1253.9625,1261.98125,1266.5875,1271.0125,1279.309375,1288.990625,1295.3375,1300.8375,1312.5875,1331.146875,1357.99375,1390.790625,1422.9875 -Myanmar,MMR,59.21363956,60.29368516,61.336186,62.32430456,63.24815467,64.09737277,64.88001347,65.62720262,66.38220767,67.17507421,68.01757505,68.8974401,69.79101509,70.66296937,71.48713315,72.26048903,72.99043823,73.67399394,74.32353463,74.92029509,75.44500895,75.92954309,76.42565092,76.91775142,77.458926,78.05203661,78.71652453,79.39678294,80.0526842,80.66504257,81.22316715 -Middle East & North Africa (excluding high income),MNA,23.18890032,23.88349873,24.57870913,25.26808944,26.17545205,26.85134788,27.51391877,28.16184402,28.79442361,29.41174407,30.01311867,30.59995396,31.17105047,31.73900235,32.30929807,32.884196100000004,33.46440674,34.05276969,34.64971419,35.25740658,35.87655554,36.5086359,37.15596925,37.83011379,38.51024663,39.20886801,39.92510473,40.65450933,41.38799879,42.12149554,42.85067583 -Montenegro,MNE,45.18297398,45.21516729,45.16081784,45.09821561,45.08342007,45.13791822,45.24282528,45.36579926,45.45643123,45.4804461,45.42773234,45.31747212,45.17933086,45.05583643,44.97769517,45.15903346,45.34037175,45.52171004,45.60245353,45.66996283,45.7267658,45.78996283,45.87130112,45.96981413,46.05412639,46.10252788,46.14133829,46.18639405,46.23122677,46.25717472,46.26788104 -Mongolia,MNG,1.272116944,1.308828755,1.345113803,1.378132161,1.405896779,1.4276352380000001,1.444099359,1.456774119,1.467905327,1.479196169,1.4911351990000001,1.5034720259999999,1.516300626,1.52953539,1.543176961,1.5574474109999998,1.5726917530000002,1.589099874,1.606884189,1.626215917,1.647091841,1.669597569,1.6941077269999998,1.7210767530000002,1.750750534,1.783234635,1.8182104330000002,1.85496022,1.892497232,1.930043899,1.967326013 -Mozambique,MOZ,16.28800071,16.25975864,16.22371881,16.28467916,16.51528777,16.94858974,17.55639894,18.27481116,19.00868283,19.68931814,20.29609349,20.85147511,21.38145553,21.92856889,22.52336911,23.17186093,23.86143468,24.58239019,25.31925024,26.06109642,26.80651848,27.56086879,28.32802971,29.11405427,29.92392228,30.75801394,31.61658231,32.50429182,33.42679493,34.38795748,35.38994125 -Mauritania,MRT,1.775177064,1.8237731640000001,1.8729339280000001,1.9228669840000001,1.973751819,2.025722325,2.07882507,2.133047443,2.188334142,2.244717182,2.302222761,2.361077908,2.421864752,2.485286698,2.551876395,2.621907442,2.695351703,2.772046182,2.8516998160000004,2.93411662,3.019216067,3.107128165,3.198057631,3.292334336,3.3901183660000003,3.491460173,3.59615213,3.703787717,3.813811972,3.9257795669999997,4.039520714 -Mauritius,MUS,506.5812808,510.38522170000005,513.9108374,517.862069,521.5640394,527.2246305,534.2073892,540.5783251,548.2,552.9344828,558.6187192000001,565.6571428999999,571.6359606000001,578.9492611000001,584.6665025000001,589.3039409,593.4093596,597.7192117999999,601.4793103,605.0512315000001,607.879803,610.6551724,612.8674877000001,614.4970443,615.9605911,616.9477833,618.6610837000001,620.0261084,621.1497537,621.9729063999999,622.4004926 -Malawi,MWI,81.31513577,86.35072126,91.6068095,96.26190072,99.75074247,101.8281184,102.7362431,102.9946012,103.3696436,104.41679040000001,106.30875049999999,108.87681370000001,111.9255197,115.12857450000001,118.25156979999998,121.25583370000001,124.2433602,127.2823611,130.48194740000002,133.9197285,137.60817780000002,141.51257959999998,145.60765800000001,149.8531502,154.21735259999997,158.69868480000002,163.3008591,168.0024289,172.7783199,177.6124629,182.491398 -Malaysia,MYS,48.83193121,50.28762745,51.81088114,53.35249125,54.87695632,56.36870187,57.83794247,59.30573124,60.8050525,62.35765333,63.97082027,65.63017197,67.30985847,68.97366611,70.59582103,72.16289454,73.68251712,75.17522143,76.67220209999999,78.19391569,79.75029980000001,81.32816923,82.89759854,84.41649673,85.85614062,87.20424593,88.47408005,89.69372089,90.90415158,92.13502359,93.39462487 -North America,NAC,14.58925133,14.72637154,14.86638747,15.02009377,15.19644428,15.39937386,15.61120309,15.81494559,16.00797692,16.19721508,16.38482146,16.57981356,16.76864613,16.95669985,17.14060137,17.31273523,17.476840600000003,17.62841708,17.79244489,17.9575905,18.13239293,18.30601259,18.49715766,18.66489549,18.82528262,18.96612409,19.11135989,19.25014955,19.39607978,19.53860099,19.68727959 -Namibia,NAM,1.5060646919999998,1.5629935990000001,1.623408519,1.683501561,1.740462049,1.793278189,1.8425560859999999,1.888886055,1.9334888069999998,1.977268034,2.0204035030000003,2.062495597,2.103315964,2.142451627,2.179755615,2.215102819,2.248931725,2.282448469,2.317221149,2.354358731,2.394438169,2.4371898119999997,2.481985692,2.5277168430000003,2.57366663,2.619612773,2.6658698640000003,2.712907967,2.761396349,2.81177228,2.864168155 -New Caledonia,NCL,8.607768053,8.780087527000001,8.952407002000001,9.130087527,9.348960613,9.593107221,9.83583151,10.09277899,10.36553611,10.60262582,10.80765864,11.01849015,11.2297046,11.44496718,11.66466083,11.88862144,12.11652079,12.32472648,12.51367615,12.70514223,12.89660832,13.0880744,13.27954048,13.45459519,13.66247265,13.91411379,14.16849015,14.42286652,14.66356674,14.90153173,15.128555800000003 -Niger,NER,5.620022894,5.785855372,5.959132391,6.142137049,6.336615615,6.5435659589999995,6.763061498,6.994779348,7.23795058,7.49213547,7.757636378,8.035210389,8.325346175,8.628655562,8.945730638999999,9.277149286,9.623417542,9.984987763,10.36229257,10.75587511,11.16599905,11.59343096,12.03987369,12.50740744,12.99757243,13.51129786,14.048465300000002,14.60823794,15.18919792,15.79037104,16.41180864 -Nigeria,NGA,94.16910856,96.67427781,99.25148062,101.8786598,104.54060849999999,107.2363297,109.97475759999999,112.76255590000001,115.6095392,118.52425420000002,121.51124209999999,124.5733423,127.7158437,130.9442153,134.2642489,137.6791572,141.1948966,144.8232056,148.5780406,152.46990569999997,156.50307759999998,160.67720390000002,164.99184540000002,169.44446240000002,174.0320794,178.7554168,183.61251140000002,188.5940128,193.68765109999998,198.8838543,204.17919890000002 -Nicaragua,NIC,31.76940336,32.4885408,33.2020359,33.928519200000004,34.68035566,35.46258933,36.26817351,37.08240818,37.8843776,38.65867542,39.40151238,40.11684394,40.80644009,41.47448895,42.12482965,42.75690543,43.37151404,43.97638358,44.58147748,45.19436596,45.81820675,46.45217716,47.09516370000001,47.74410836,48.39675087,49.05300814,49.71352834,50.37771315,51.04481469,51.71381087,52.38469337 -Netherlands,NLD,431.6433057,434.39090639999995,437.20657580000005,439.83729270000003,442.87648099999996,446.3802725,449.76795020000003,452.91374410000003,455.6527844,457.9089455,460.02659950000003,462.40077010000005,465.2609301,468.36753550000003,471.7272808,475.3015403,478.34505329999996,480.6072867,482.2801836,483.40841229999995,484.1854562,485.23981039999995,487.13249410000003,490.07969169999996,492.59988139999996,495.0496441000001,496.8849941000001,498.79584450000004,500.5938853999999,502.8175423,505.50056399999994 -Norway,NOR,11.40978135,11.46330995,11.52513985,11.57281483,11.61271145,11.66817848,11.73571964,11.80578239,11.87319487,11.93499191,11.99564178,12.0608612,12.13288703,12.21625322,12.29580005,12.35818027,12.42500683,12.4980977,12.57217147,12.65808938,12.76044836,12.8931706,13.05486799,13.22054902,13.38626291,13.56103923,13.74033034,13.91208686,14.06986657,14.21057257,14.3363165 -Nepal,NPL,120.5571538,123.24260840000001,126.0192517,128.9862098,132.2061399,135.70282519999998,139.42881119999998,143.2865385,147.1391888,150.88161540000002,154.47798600000002,157.9354895,161.2439371,164.40534269999998,167.01158,169.843781,172.4843181,174.9624834,177.3236414,179.59190790000002,181.8395047,184.04311819999998,186.0242483,187.5377398,188.44235790000002,188.6392536,188.27946980000002,187.7775096,187.7009138,188.4550471,190.17182419999997 +Myanmar,MMR,59.2136395629954,60.293685160816494,61.336186002387,62.3243045567219,63.24815466536101,64.0973727698381,64.8800134651284,65.62720261957949,66.38220766900271,67.1750742112189,68.0175750527894,68.89744009548001,69.7910150870643,70.66296936683291,71.48713315175809,72.2604890289806,72.99043822872359,73.6739939406922,74.3235346331609,74.9202950899963,75.445008952209,75.9295430897295,76.4256509161041,76.9177514158886,77.4589260018982,78.0520366146734,78.716524534946,79.3967829362406,80.0526842040791,80.6650425675262,81.2231671464445 +Middle East & North Africa (excluding high income),MNA,23.188900316290997,23.883498728589,24.578709130327102,25.2680894360673,26.1754520508009,26.8513478807118,27.513918768524498,28.1618440202037,28.7944236077529,29.411744065784802,30.0131186704211,30.599953956182,31.171050470040303,31.7390023530936,32.3092980747206,32.8841960957619,33.4644067404448,34.0527696890817,34.6497141858897,35.257406582574895,35.876555538716204,36.5086359008769,37.1559692496356,37.830113790880795,38.5102466301289,39.2088680149237,39.9251047298548,40.654509325953704,41.3879987886544,42.12149554210371,42.8506758252235 +Montenegro,MNE,45.182973977695205,45.215167286245396,45.160817843866205,45.098215613382905,45.08342007434939,45.1379182156134,45.24282527881039,45.3657992565056,45.456431226765794,45.4804460966543,45.427732342007396,45.3174721189591,45.179330855018605,45.055836431226794,44.97769516728621,45.159033457249095,45.3403717472119,45.5217100371747,45.6024535315985,45.669962825278795,45.7267657992565,45.7899628252788,45.87130111524161,45.969814126394,46.054126394052,46.1025278810409,46.141338289962796,46.1863940520446,46.23122676579929,46.25717472118961,46.2678810408922 +Mongolia,MNG,1.27211694430856,1.30882875460233,1.34511380313602,1.37813216097222,1.40589677901079,1.42763523777646,1.44409935889184,1.45677411879812,1.46790532711965,1.4791961687994,1.4911351991554902,1.50347202554134,1.51630062565977,1.5295353896856299,1.54317696130178,1.55744741110739,1.57269175313474,1.5890998738381499,1.6068841885733403,1.62621591699065,1.64709184067561,1.6695975694533798,1.6941077267694802,1.72107675274853,1.7507505342568002,1.78323463528927,1.8182104328123798,1.85496022039702,1.89249723216355,1.93004389917351,1.9673260125132 +Mozambique,MOZ,16.2880007121239,16.2597586408607,16.2237188127877,16.2846791627457,16.515287774358498,16.948589740329098,17.5563989419873,18.274811159999,19.008682825097303,19.6893181413566,20.2960934916961,20.8514751138127,21.381455530405102,21.9285688852718,22.523369109082104,23.1718609323737,23.8614346753478,24.5823901930364,25.319250235255197,26.061096416490802,26.8065184770722,27.5608687911697,28.3280297057402,29.114054274015103,29.9239222767619,30.7580139372822,31.616582313894,32.5042918182049,33.426794933747,34.3879574760294,35.3899412497775 +Mauritania,MRT,1.77517706413117,1.82377316386922,1.87293392839818,1.92286698360338,1.97375181915203,2.02572232463374,2.07882507034055,2.13304744348501,2.18833414184535,2.24471718249733,2.30222276123023,2.36107790821772,2.42186475211022,2.4852866983603397,2.55187639468322,2.62190744154458,2.6953517027263,2.77204618220627,2.8516998156592597,2.9341166197729702,3.01921606675075,3.10712816532454,3.19805763073639,3.29233433588823,3.39011836615892,3.49146017269817,3.59615212962065,3.70378771708548,3.81381197244591,3.92577956728437,4.03952071407781 +Mauritius,MUS,506.581280788177,510.385221674877,513.910837438424,517.862068965517,521.5640394088671,527.224630541872,534.207389162562,540.578325123153,548.2,552.934482758621,558.618719211823,565.6571428571431,571.635960591133,578.949261083744,584.6665024630539,589.303940886699,593.409359605911,597.71921182266,601.479310344828,605.0512315270939,607.879802955665,610.655172413793,612.867487684729,614.4970443349749,615.960591133005,616.947783251232,618.661083743842,620.026108374384,621.149753694581,621.972906403941,622.400492610837 +Malawi,MWI,81.315135765804,86.3507212558337,91.6068095036063,96.2619007212558,99.75074246924059,101.82811837080999,102.736243105643,102.99460118795099,103.369643614765,104.41679041153999,106.308750530335,108.876813746288,111.925519728468,115.128574459058,118.251569792109,121.25583368688999,124.243360203649,127.282361052185,130.481947390751,133.91972846839198,137.60817776835,141.512579550276,145.607658039881,149.853150190921,154.217352566822,158.698684768774,163.300859142978,168.00242893508698,172.778319898176,177.61246287653802,182.49139796351298 +Malaysia,MYS,48.831931212905204,50.2876274539644,51.8108811444225,53.35249124942929,54.876956323238495,56.3687018718612,57.8379424745092,59.305731243342,60.8050525034241,62.357653325216894,63.9708202708872,65.630171967737,67.3098584690306,68.9736661086593,70.59582103180641,72.1628945366002,73.6825171206818,75.1752214274844,76.672202100137,78.1939156901537,79.750299802161,81.32816922842791,82.8975985390352,84.4164967280475,85.8561406178664,87.2042459290823,88.47408004869878,89.69372089484101,90.90415157510272,92.13502358849492,93.39462486683908 +North America,NAC,14.5892513276512,14.72637154182,14.866387465097198,15.020093768948698,15.1964442835405,15.399373861937402,15.6112030862135,15.814945593277098,16.0079769241769,16.1972150810477,16.3848214635951,16.579813564413598,16.7686461335421,16.9566998514827,17.1406013666898,17.3127352306837,17.4768406030749,17.6284170827781,17.7924448894361,17.9575904971888,18.132392929159398,18.306012593256,18.4971576643005,18.6648954902862,18.825282616331602,18.9661240862873,19.1113598915487,19.250149553334502,19.3960797838528,19.5386009877527,19.6872795897404 +Namibia,NAM,1.5060646916639298,1.5629935988533799,1.62340851947673,1.6835015608108899,1.74046204860985,1.7932781887305802,1.8425560859478403,1.8888860547316297,1.9334888071032101,1.97726803434999,2.02040350301838,2.0624955969342498,2.10331596399811,2.1424516270087097,2.17975561466798,2.21510281917672,2.2489317251515297,2.2824484689477598,2.3172211492912598,2.35435873143121,2.3944381688105,2.43718981160952,2.48198569155462,2.52771684339662,2.5736666302274998,2.61961277314191,2.66586986359606,2.7129079668160703,2.76139634879569,2.81177227951269,2.8641681545992297 +New Caledonia,NCL,8.60776805251641,8.7800875273523,8.95240700218818,9.1300875273523,9.34896061269147,9.59310722100656,9.83583150984683,10.0927789934354,10.3655361050328,10.6026258205689,10.807658643326,11.0184901531729,11.229704595186,11.444967177242901,11.6646608315098,11.8886214442013,12.116520787746198,12.3247264770241,12.5136761487965,12.705142231947502,12.8966083150985,13.0880743982495,13.2795404814004,13.4545951859956,13.662472647702401,13.914113785558,14.1684901531729,14.4228665207877,14.663566739606098,14.9015317286652,15.1285557986871 +Niger,NER,5.62002289413437,5.78585537222705,5.95913239125286,6.14213704902503,6.336615615378539,6.54356595879056,6.763061498381621,6.9947793479119005,7.237950580247889,7.49213547011921,7.757636377990051,8.03521038920028,8.32534617510066,8.62865556169574,8.9457306386674,9.27714928554512,9.623417541643642,9.98498776347991,10.3622925712481,10.7558751085498,11.1659990526565,11.593430962343099,12.039873687534499,12.5074074366464,12.997572432304402,13.5112978605826,14.0484653035446,14.6082379411068,15.1891979158443,15.790371042867301,16.4118086366148 +Nigeria,NGA,94.1691085564962,96.674277808887,99.25148061530349,101.878659815321,104.54060849610799,107.236329699046,109.97475762267099,112.762555859328,115.60953918113199,118.52425420248801,121.51124213577499,124.573342336704,127.715843736618,130.944215334278,134.26424893222202,137.679157196658,141.19489662593202,144.823205639184,148.57804055908701,152.469905684201,156.503077615644,160.677203904389,164.99184536161698,169.444462377988,174.032079449257,178.755416845087,183.61251139146,188.59401275843499,193.687651108403,198.88385432106898,204.179198919596 +Nicaragua,NIC,31.769403357154697,32.4885408010637,33.202035898288194,33.928519195612395,34.680355658966306,35.462589330231,36.2681735083929,37.0824081768323,37.884377596809,38.6586754196443,39.4015123815855,40.1168439421639,40.806440086421794,41.4744889479807,42.1248296493269,42.756905434602,43.3715140435433,43.9763835798571,44.581477480472,45.194365963104495,45.8182067475486,46.452177164700004,47.095163702841994,47.744108359647704,48.3967508725278,49.0530081435932,49.7135283363803,50.3777131460861,51.0448146917068,51.713810869203904,52.3846933687884 +Netherlands,NLD,431.64330568720396,434.390906398104,437.206575829384,439.83729265402803,442.87648104265406,446.380272511848,449.767950236967,452.913744075829,455.65278436019,457.90894549763,460.026599526066,462.40077014217997,465.260930094787,468.36753554502405,471.72728080568703,475.30154028436,478.345053317536,480.607286729858,482.28018364928903,483.408412322275,484.185456161137,485.2398104265401,487.132494075829,490.07969166913693,492.599881411207,495.04964412811404,496.88499406880203,498.795844464233,500.593885425942,502.81754229741796,505.500563965568 +Norway,NOR,11.4097813469293,11.4633099492783,11.525139851935402,11.5728148328932,11.612711451655901,11.668178484288001,11.7357196377507,11.805782393318902,11.873194865675199,11.934991913581701,11.9956417831146,12.0608612008711,12.132887027785198,12.216253219434,12.295800046330301,12.358180266059302,12.4250068286973,12.498097697108701,12.572171470141,12.65808938075,12.7604483561181,12.893170596795,13.0548679895695,13.220549020849301,13.386262906879699,13.5610392282727,13.7403303399718,13.912086861994,14.0698665657304,14.2105725713798,14.3363164960781 +Nepal,NPL,120.55715384615401,123.24260839160802,126.01925174825199,128.98620979021,132.20613986014,135.702825174825,139.428811188811,143.286538461538,147.139188811189,150.881615384615,154.477986013986,157.93548951049,161.243937062937,164.405342657343,167.011580048832,169.84378095570298,172.484318102546,174.962483432159,177.323641437042,179.59190791768398,181.839504708755,184.04311824206502,186.02424834321602,187.53773979769798,188.44235786536498,188.639253575166,188.27946982909,187.777509591908,187.70091384722699,188.455047087548,190.171824206488 Nauru,NRU,434.15,443.25,453.1,463.9,475.25,488.2,501.5,514.35,524.9,531.4,533.6,532.35,528.25,522.45,516.85,510.75,505.1,499.7,495.1,492.45,491.4,492.1,494.55,496.95,500.25,502.85,513.95,541.05,592.65,623.75,652.45 -New Zealand,NZL,12.32881395,12.43553226,12.46971251,12.52971782,12.64593065,13.2737078,13.41270746,13.56651855,13.74805363,13.950856400000001,14.17340777,14.36063955,14.48862557,14.56496145,14.65079184,14.73738179,14.99563252,15.29451977,15.5235274,15.69974555,15.89229425,16.0411682,16.17788918,16.34043523,16.52310964,16.64957654,16.74110364,16.87022901,17.12696062,17.45357184,17.82385781 -OECD members,OED,30.04648325,30.28556542,30.527804600000003,30.78311628,31.05303476,31.34662208,31.63602948,31.91252676,32.17620149,32.43575816,32.68749796,32.93784296,33.17963809,33.42264232,33.62835792,33.87808997,34.13048629,34.38113407,34.63306009,34.88292377,35.14350409,35.40813008,35.69990426,35.95353439,36.18845772,36.37245434,36.60078476,36.83393982,37.07942166,37.32372684,37.56089559 -Oman,OMN,5.044216478,5.2338061389999995,5.422003231000001,5.625705977000001,5.855124394,6.118798061000001,6.4079967689999995,6.695004847000001,6.941579967999999,7.122058158,7.2266688210000005,7.269021002000001,7.275812601,7.285634895,7.3278610660000005,7.415063005,7.54396769,7.70974475,7.901508885,8.113896607000001,8.33847496,8.585324717,8.888410339,9.293008078,9.826927302,10.50438772,11.30219386,12.16415186,13.01214863,13.78787722,14.47243619 -Other small states,OSS,7.72569848,7.934440587,8.145223655,8.351933626000001,8.547709099,8.73555022,8.903533358999999,9.060215656,9.250985691,9.41038443,9.575504187,9.747242944,9.921555592999999,10.10668931,10.29216796,10.46913273,10.64744473,10.83405491,11.05158549,11.29135639,11.56570269,11.87019867,12.19403673,12.51679472,12.82855272,13.12251755,13.4077962,13.67986965,13.96031281,14.24792105,14.54008494 -Pakistan,PAK,123.5151749,127.49812549999999,131.5244954,135.57607019999998,139.6429029,143.70414069999998,147.76765,151.8870447,156.13683319999998,160.56563799999998,165.19988840000002,170.0101585,174.9211719,179.8264594,184.6507602,189.36592209999998,193.99867680000003,198.5955959,203.2283844,207.949367,212.7732293,217.6838224,222.6662853,227.6951134,232.7530108,237.832856,242.9450433,248.10984720000002,253.35567790000002,258.7003995,264.1491335 -Panama,PAN,30.51520043,31.18461125,31.861057300000002,32.54541297,33.23845843,33.94024751,34.65098197,35.37234329,36.10594566,36.85321496,37.61489104,38.39000538,39.1756255,39.96766209,40.76308851,41.56104385,42.36195857,43.16717783,43.97842346,44.79710788,45.62370191,46.45782889,47.29895077,48.14655636,49.0003632,49.85852838,50.72133441,51.59317998,52.47935163,53.38292978,54.30559591 -Peru,PER,15.8049875,16.16506484,16.52613984,16.88608828,17.24330703,17.59560781,17.94282656,18.28760234,18.6339125,18.98371875,19.338925,19.69605781,20.04536094,20.37366641,20.67183125,20.93694141,21.17263125,21.38455156,21.58141641,21.77042578,21.95473125,22.13519688,22.31431016,22.49426172,22.67787031,22.86274844,23.05217813,23.26092734,23.50809297,23.80526094,24.1609625 -Philippines,PHL,186.99183349999998,192.0509642,197.1861723,202.3703491,207.5834591,212.81411949999998,218.0639099,223.34206659999998,228.6643827,234.0412785,239.4665761,244.93035519999998,250.43436290000002,255.98124219999997,261.568082,267.2062012,272.8821075,278.5389912,284.1014924,289.5202401,294.7602878,299.8473421,304.86623399999996,309.937814,315.14498439999994,320.52200760000005,326.0309152,331.59456689999996,337.100104,342.46641850000003,347.6671932 -Papua New Guinea,PNG,9.24457669,9.478785938,9.714534293,9.952283266,10.19264011,10.43489599,10.67927616,10.92843484,11.18593163,11.45400344,11.73485846,12.02720708,12.32557965,12.622357899999999,12.91256901,13.19310383,13.46690147,13.74238617,14.03136731,14.34196661,14.67759352,15.03447865,15.40476306,15.77700835,16.14297355,16.50002208,16.85068675,17.19820474,17.54787572,17.90349115,18.26560085 -Poland,POL,122.2897222,122.9816351,123.4923994,123.939825,124.42711809999999,124.86921869999999,125.25275719999999,125.57186979999999,125.8371217,126.0080251,126.1039211,126.1864899,126.2316138,126.22113359999999,124.90982079999999,124.8753665,124.8175389,124.7536899,124.6440832,124.5893154,124.51445220000001,124.446853,124.4719523,124.56446059999999,124.2092007,124.2962969,124.3000588,124.2291107,124.1442732,124.0615696,124.008253 -Pre-demographic dividend,PRE,20.90191136,21.46621304,22.05495034,22.67451553,23.32882475,24.02247391,24.75311353,25.50919268,26.27447278,27.03799622,27.79499147,28.55103712,29.31818114,30.11382106,30.95054186,31.83332313,32.75862456,33.72028025,34.70841797,35.71636391,36.74175554,37.78853039,38.8636875,39.98398308,41.14102101,42.34664813,43.59717066,44.88618322,46.20358517,47.54304495,48.9025429 -Puerto Rico,PRI,384.3916573,388.0326945,391.64577230000003,395.22547910000003,398.7598647,401.5907554,404.19120630000003,407.60958289999996,411.41341600000004,415.2314543,419.916009,423.83652760000007,426.2797069,428.4195039,429.60597520000005,430.52694479999997,431.0824126,431.3523112,431.4405862,430.8187148,428.99819620000005,426.49323560000005,423.99842160000003,421.692221,419.56313420000004,414.73866969999995,409.75062010000005,405.0819617,398.52018039999996,391.5706877,384.0667418 -"Korea, Dem. People’s Rep.",PRK,159.096379,161.38182880000002,163.6767959,166.0472967,168.5329624,171.1581264,173.8842621,176.6118595,179.2042355,181.5654763,183.65117519999998,185.49345569999997,187.1667885,188.78400469999997,190.42500619999998,192.11842869999998,193.83317830000001,195.51886059999998,197.0993356,198.5231044,199.77463669999997,200.88307450000002,201.8947097,202.8763475,203.8770534,204.9114276,205.9680425,207.0380533,208.1035794,209.1506769,210.17975249999998 -Portugal,PRT,109.64736609999999,109.61782509999999,109.5039344,109.3442623,109.1062077,108.8550273,108.77042620000002,108.90355190000001,109.1969945,109.575694,109.9884699,110.480623,111.04039340000001,111.6702514,112.45790159999999,113.2537923,113.87574860000001,114.30405459999999,114.57771580000001,114.82814040000001,115.0353996,115.2614409,115.4277577,115.3864723,115.4394585,115.2697893,114.8034065,114.1561345,113.5417757,113.0725249,112.71638940000001 -Paraguay,PRY,9.521958218,9.795454317,10.07218978,10.35083312,10.63029197,10.90950164,11.1880594,11.46619935,11.74451045,12.02326454,12.30211931,12.58016612,12.85637805,13.129496599999998,13.39844198,13.66333753,13.92389127,14.17816008,14.423732699999999,14.65918953,14.88348603,15.09797886,15.30655928,15.51465391,15.72620186,15.94255223,16.16287944,16.38629751,16.61093884,16.83550466,17.05983388 -Pacific island small states,PSS,25.6056952,25.94481387,26.25583837,26.58203945,26.95405663,26.81054517,27.27291277,27.758878499999998,28.23728972,28.68680685,29.10302181,29.4928972,29.86191589,30.21794393,30.56778816,30.91115265,31.24732087,31.58638629,31.94037383,32.31741433,32.7238162,33.15676012,33.60520249,34.0547352,34.49406542,34.91897196,35.33813084,35.76481308,36.21707165,36.69271028,37.20104361 -Post-demographic dividend,PST,29.93240012,30.10123118,30.27660355,30.46484132,30.65893165,30.87266335,31.08655096,31.29003636,31.47367958,31.64597563,31.81536711,31.97751832,32.1331256,32.28676584,32.412307500000004,32.56809148,32.73439336,32.89750562,33.06821072,33.23644867,33.41773582,33.60594291,33.82571061,33.99914308,34.15591329,34.24938175,34.39651391,34.54918404,34.70615558,34.8613607,35.00434037 -French Polynesia,PYF,49.67677596,50.97923497,52.25846995,53.47704918,54.61885246,55.66284153,56.62431694,57.55245902,58.52377049,59.58224044,60.74371585,61.9852459,63.270491799999995,64.54125683,65.76120219,66.92103825,68.02513661,69.04453552,69.9431694,70.70491803,71.31420765,71.78169399,72.14781421,72.47377049,72.80191257,73.14153005,73.49672131,73.86010929,74.2363388,74.62404372,75.02049179999999 -Qatar,QAT,34.25839793,36.36072351,38.20887166,39.76658053,41.02308355,41.97700258,42.66968131,43.19371232,43.67278208,44.22411714,45.00697674,46.10861326,47.50749354,49.1377261,51.03083549,52.97260982,55.19965547,58.72420327,64.88664944,74.54056848,88.08880276,104.94694229999999,123.7437554,142.5452196,159.8903531,175.3549526,189.1536606,201.25529719999997,211.8172265,220.99138670000002,228.6282515 -Romania,ROU,99.14405227,99.63284709999999,100.10272640000001,100.9873905,101.1634402,100.2403687,99.33881286,99.20369563,99.03799834,98.84644211,98.54916347,98.26156929,98.03277146,97.87473868,97.70132341,96.34743807,94.53384957,93.82181344,93.26846957,92.70234368,92.15479607,90.83901866,89.33394954,88.53119621,88.01074114,87.53324934,87.20126511,86.87429031,86.53068063,86.12489569,85.63224531 -Russian Federation,RUS,8.840417451,8.902284632,8.960185968,9.012901199,9.028057255,9.053976126,9.062760837999999,9.059999158,9.059576481,9.059246824,9.046311567,9.030986131,9.014594934,8.982804172,8.949015709,8.911633753,8.870461463,8.830278652,8.794658032000001,8.761088894,8.734394184,8.71946398,8.716095689,8.718720305,8.722635522000001,8.729440241,8.744144699,8.762785258,8.781877489,8.798804045,8.813796287 -Rwanda,RWA,261.1978516,274.8270369,287.3202675,294.9730442,295.4552898,287.1477503,271.6758816,253.9017835,240.62671260000002,236.5826915,243.74167000000003,260.2310904,282.2376165,304.0629915,321.5922578,333.6504256,341.5914066,346.8650588,351.8655857,358.3386704,366.5722335,375.9123227,386.0775841,396.5451966,406.9451966,417.2408188,427.63186060000004,438.24657479999996,449.27584110000004,460.8460073,472.99627080000005 -South Asia,SAS,216.8355866,221.80869909999998,226.84498709999997,231.9542133,237.1411713,242.4050417,247.73529,253.11507459999999,258.8973748,264.3225529,269.74658860000005,275.1668012,280.5841107,286.0032827,291.403792,296.8250125,302.2345437,307.6145909,313.05328330000003,318.3143753,323.50116030000004,328.61319419999995,333.6445832,338.59040689999995,343.448913,348.2149428,352.8701581,357.48601569999994,362.06917910000004,366.63289060000005,371.1890581 -Saudi Arabia,SAU,6.416815913,6.719885658,7.01035126,7.287700552,7.551686522000001,7.8023780170000006,8.039620131,8.263190507000001,8.47306821,8.670453413999999,8.854227819,9.027879368999999,9.202863669,9.394157762,9.612475752,9.863116077,10.14346859,10.44645926,10.76093855,11.07889184,11.39620596,11.71545525,12.04291828,12.38797361,12.75600715,13.14965646,13.56250762,13.97993106,14.3820709,14.75453065,15.09174439 -Senegal,SEN,34.64739521,35.71263699,36.80791046,37.93443619,39.0916065,40.28201319,41.50052459,42.7297564,43.94675116,45.136674799999994,46.29336207,47.42573625,48.55229834,49.69990131,50.88938867,52.12748143,53.41348881,54.752334700000006,56.14752506,57.60201527,59.11945151,60.70264374,62.35236587,64.06837376,65.85024671,67.69754843,69.60988417,71.58583078,73.62349244,75.72045396,77.87632057 -Singapore,SGP,4079.661194,4141.476119,4247.922388,4374.479104,4547.958209,4679.228357999999,4821.937313,4945.479104,5103.056716,5260.456716,5478.662687,5665.728357999999,5861.511939999999,5908.541791,6011.771642000001,6176.137313,6186.592593,5989.5577619999995,6047.407704,6191.236438,6342.024356,6602.300719,6913.422857,7125.104286,7231.81228,7363.1930219999995,7524.698463,7636.721687,7714.702232,7806.772752,7908.720563 -Solomon Islands,SLB,9.962022151000001,10.24901751,10.53847803,10.8350125,11.14205073,11.46052161,11.78974634,12.12947481,12.47877814,12.83604859,13.20196499,13.57624151,13.95830654,14.34748124,14.74312254,15.14626652,15.55669882,15.97059664,16.38224366,16.78878171,17.18749553,17.58242229,17.98356556,18.40589496,18.8589139,19.34694534,19.86652376,20.41211147,20.97459807,21.54762415,22.1306538 -Sierra Leone,SLE,54.26274591,55.94546966,57.58706013,58.94214464,59.84707675,60.24743696,60.23446938,59.97446661,59.70871433,59.62811028,59.74876697,60.06235799,60.70217512,61.82291493,63.5158077,65.86411748,68.79697977,72.05694098,75.2838875,78.21590468,80.75972569,82.98189249,84.97648933,86.90404544,88.88381823,90.92878914,92.99779717,95.09531726,97.21729011,99.36151288,101.5355777 -El Salvador,SLV,241.42548259999998,244.57224900000003,247.74488419999997,250.99430499999997,254.3474421,257.82808880000005,261.4055502,264.98441119999995,268.43238419999994,271.6505792,274.6109073,277.3303089,279.8149131,282.0871622,284.1667954,286.0524131,287.7478764,289.28943050000004,290.7237934,292.0908784,293.4072876,294.68194980000004,295.934556,297.18561780000005,298.4495656,299.7378378,301.0580598,302.41650580000004,303.81891889999997,305.2666023,306.76365830000003 -San Marino,SMR,384.1,388.25,392.5166667,396.95,402.0833333,407.6666667,413.7,420.15,426.36666669999994,432.13333330000006,437.53333330000004,442.7,447.33333330000005,452.41666669999995,457.7,463.53333330000004,469.58333330000005,476.03333330000004,482.33333330000005,488.7333333000001,495.0,501.05,507.2333333000001,513.6,520.4833333,527.6833333000001,535.0833333,542.55,549.1333333,554.5333333,558.4 -Somalia,SOM,10.73859151,10.93868237,11.16656677,11.37064112,11.51702745,11.59503618,11.62907514,11.66172251,11.75215673,11.94190869,12.2464469,12.65043995,13.12695508,13.63471323,14.14265629,14.64393311,15.14544266,15.64608028,16.14793095,16.65263334,17.15800842,17.66206682,18.16748175,18.67837536,19.19833424,19.72822074,20.26892913,20.82396468,21.39760895,21.99317914,22.61232027 -Sub-Saharan Africa (excluding high income),SSA,21.36370507,21.98553433,22.62274766,23.27271849,23.93360979,24.60514355,25.28809118,25.98301744,26.69087996,27.41269428,28.14916676,28.90115491,29.67015049,30.45791489,31.26619296,32.09575585,32.94792998,33.82567008,34.73248343,35.67103444,36.64258447,37.6471396,38.68441121,39.75349228,40.85220468,41.98267197,43.14447125,44.33607285,45.55618506,46.8036013,48.07789986 -Sub-Saharan Africa,SSF,21.41270452,22.03495844,22.67244607,23.32273772,23.98392134,24.65596123,25.33951138,26.03503518,26.74363501,27.46586893,28.2028507,28.95546582,29.72501452,30.51345912,31.32222278,32.15213495,33.00472022,33.88272496,34.78977695,35.72857733,36.70036581,37.70508881,38.74254078,39.81166836,40.91050626,42.04082504,43.20269244,44.39436228,45.61450523,46.86195089,48.13620016 -Small states,SST,9.262083245,9.456094359,9.649452887,9.840471913,10.02589688,10.20353996,10.37366365,10.53642303,10.73056604,10.89314223,11.05800676,11.22644651,11.39564385,11.57304945,11.7507205,11.92154854,12.09338961,12.27209621,12.47725784,12.70002336,12.95149312,13.2280771,13.52089811,13.81323078,14.09687649,14.366266699999999,14.62889288,14.88062322,15.14011138,15.40548799,15.67475518 -Sao Tome and Principe,STP,111.90520829999998,114.84791670000001,118.00520829999999,121.16666670000001,124.17604170000001,127.0375,129.7666667,132.35625,134.8197917,137.1645833,139.38125,141.4916667,143.5916667,145.790625,148.1895833,150.78645830000002,153.590625,156.68229169999998,160.1427083,164.0333333,168.41770830000002,173.22916669999998,178.25,183.2041667,187.88645830000002,192.2125,196.25416669999998,200.090625,203.8822917,207.7416667,211.6947917 -Suriname,SUR,2.398333333,2.442544872,2.492826923,2.545416667,2.5972307690000003,2.647467949,2.69650641,2.743782051,2.789134615,2.832378205,2.8731602560000002,2.911288462,2.947634615,2.9832371789999996,3.018903846,3.05499359,3.09125,3.1278333330000003,3.1646089739999996,3.201692308,3.239070513,3.276801282,3.314891026,3.353275641,3.391865385,3.430634615,3.469519231,3.5082756410000004,3.546621795,3.58425,3.621076923 -Slovak Republic,SVK,107.98,108.58295220000001,109.16,109.6869439,110.17020790000001,110.2555925,110.2913929,110.7132017,111.15033259999998,111.4760707,111.7122869,111.9187318,112.06893970000002,112.18336799999999,112.03160079999999,111.8267568,111.78611229999998,111.6893369,111.68981289999999,111.70076920000001,111.7059044,111.7385031,111.8343659,112.00677900000001,112.10887460000001,112.2605269,112.4517389,112.5726422,112.70068640000001,112.8031442,112.95336940000001 -Slovenia,SVN,97.61489573,98.79721946,99.06633565,99.12368421,99.21355511,99.27651440000001,99.13098312,98.89503476,98.78068520000001,98.8019861,98.74021847,98.60754717,98.39270109,98.46300894,98.75496524,98.91062562,99.03326713,99.09299901,99.15650447,99.32840119,99.64587885,100.2046673,100.33237059999999,101.2453735,101.68582690000001,101.8982937,102.1140519,102.2816783,102.38232370000001,102.44610870000001,102.5241808 -Sweden,SWE,20.39730224,20.46547741,20.55975289,20.69738266,20.85791051,21.0005727,21.12410928,21.24716333,21.39870595,21.51128089,21.54554272,21.55788371,21.56985427,21.58666959,21.62136034,21.6794853,21.75015353,21.83123507,21.91726617,22.00509821,22.12922211,22.29393186,22.46828727,22.66051323,22.85452552,23.02776478,23.36960279,23.56846615,23.80523434,24.05829958,24.36248803 -Eswatini,SWZ,42.06947674,43.52511628,44.98651163,46.42482558,47.81511628,49.14337209,50.40656977,51.61081395,52.76860465,53.88610465,54.97139535,56.01313953,56.97197674,57.79697674,58.45552326,58.93075581,59.24761628,59.46523256,59.6677907,59.91738372,60.23790698,60.61930233,61.04331395,61.48063953,61.90912791,62.32744186,62.74930233,63.18831395,63.66401163,64.18860465,64.76651163 -Seychelles,SYC,142.72173909999998,148.9108696,149.46739130000003,150.3630435,151.1021739,153.12826090000001,153.83260869999998,157.07173909999997,161.31521740000002,163.70434780000002,166.123913,168.08478259999998,171.4043478,174.80434780000002,176.37173909999999,176.52608700000002,182.0065217,179.9586957,179.2934783,180.126087,183.91304350000001,184.8543478,189.0347826,189.77826090000002,195.1521739,190.0891304,191.9630435,195.5413043,198.6065217,203.08478259999998,205.81956519999997 -Syrian Arab Republic,SYR,59.87741865,61.81767331,63.76684623,65.73318098,67.7232071,69.73229405,71.75787899,73.81147024,75.90856459,78.05796061,80.28154315,82.57327239,84.88187507,87.13671237,89.29615845,91.23169551,92.96241158,94.85927338,97.1173122,100.0227488,103.7916354,108.24577430000001,112.5247114,115.4752396,116.33463490000001,114.81220929999999,111.3246256,106.65073249999999,101.9205576,98.00908348,95.0494636 -Turks and Caicos Islands,TCA,10.90210526,11.28842105,11.67684211,12.15578947,12.74842105,13.48526316,14.34947368,15.29052632,16.21789474,17.06947368,17.81684211,18.49157895,19.19157895,20.06842105,21.22526316,22.70842105,24.45473684,26.32736842,28.10526316,29.66315789,30.93789474,31.98421053,32.84421053,33.61473684,34.37894737,35.13368421,35.85894737,36.55894737,37.23052632,37.87473684,38.48315789 -Chad,TCD,4.1671561310000005,4.298639612,4.439029543,4.585387548,4.735746506,4.889675191,5.048243329,5.212771601,5.385207274,5.567141836,5.758398188999999,5.958936626,6.1706226179999994,6.395756036,6.635684562000001,6.891717757,7.162669155,7.44434244,7.730914072000001,8.018291773,8.30457751,8.591188056,8.881502541,9.180548761,9.491848792999999,9.816541455,10.15307338,10.49906607,10.85098396,11.20630162,11.56422014 -East Asia & Pacific (IDA & IBRD countries),TEA,93.69570127,95.35231166,97.02845616,98.66254317,100.25802440000001,101.77566740000002,103.2031723,104.5772483,105.94172150000001,107.2797851,108.5953115,109.896975,111.1516672,112.33171920000001,113.5498528,114.61096059999998,115.62649429999999,116.6001293,117.5460553,118.48708329999998,119.4021625,120.2878128,121.17063610000001,122.0471658,122.92231029999999,123.8057862,124.70779499999999,125.62023229999998,126.5414393,127.45746609999999,128.3939817 -Europe & Central Asia (IDA & IBRD countries),TEC,17.98384482,18.15677981,18.32120951,18.4693103,18.5762717,18.66775111,18.74136966,18.808013199999998,18.85073723,18.86911188,18.88359464,18.89868725,18.9074281,18.89949294,18.88996459,18.87110709,18.85808262,18.86406959,18.87858743,18.8961621,18.9224971,18.95245511,19.0001239,19.07729944,19.16086025,19.25805423,19.35572176,19.46315803,19.57076456,19.67870869,19.78379556 -Togo,TGO,61.83199117,63.83046516,65.77437029,67.63314948,69.39349145,71.02393822,72.54835448,74.07709138,75.76054422,77.70345652,79.95596617,82.47749586,85.17091377,87.89203898,90.53873874,93.07900349,95.55122265,98.00770362,100.52888399999999,103.17411290000001,105.95477109999999,108.8501379,111.8481338,114.92618130000001,118.06727340000002,121.2712447,124.5414047,127.86764109999999,131.2373047,134.64162530000002,138.0759698 -Thailand,THA,103.7015679,105.5919689,107.44293290000002,109.1666875,110.7052125,112.025025,113.1574723,114.18852,115.24059779999999,116.3993697,117.6969328,119.0991838,120.5447415,121.9412613,123.2215193,124.3696216,125.40681359999999,126.3478753,127.2197518,128.0435886,128.8193858,129.54269409999998,130.2256533,130.8830453,131.5254321,132.158355,132.77996629999998,133.3839006,133.9598152,134.49962030000003,135.00231169999998 -Tajikistan,TJK,33.49046156,34.60990283,35.7328451,36.79532724,37.75231495,38.58695342,39.31476136,39.96366819,40.57707202,41.18898257,41.80733781,42.42930123,43.06507574,43.72435696,44.41512575,45.14513432,45.91931266,46.73868963,47.60209346,48.50900972,49.46118177,50.46207488,51.51421835,52.62041298,53.78246642,54.99792798,56.26489711,57.58623178,59.46445054,60.91237121,62.42221342 -Turkmenistan,TKM,7.0743685229999995,7.25069904,7.4349264779999995,7.630642862,7.839395229,8.063296661,8.298774286,8.534864767,8.75684038,8.954186794,9.123371566,9.267584534,9.391779627,9.503830358,9.610224927,9.712261401000001,9.809982338,9.907311727,10.00872683,10.11777499,10.23579895,10.36354563,10.50319622,10.65680846,10.82546975,11.01033133,11.20996744,11.41951993,11.63221756,11.84279999,12.04939459 -Latin America & the Caribbean (IDA & IBRD countries),TLA,19.79214671,20.19556155,20.59767016,20.99927642,21.40083795,21.80193559,22.20181284,22.60020891,22.99696653,23.39186302,23.78489451,24.1755923,24.59782501,24.97995922,25.35555845,25.72345834,26.08368063,26.43729377,26.78643299,27.13247956,27.47562218,27.81561797,28.15280854,28.48750033,28.81446439,29.14733586,29.47741251,29.80426826,30.12704955,30.4450727,30.75796525 -Timor-Leste,TLS,45.17498319,46.16482851,47.19630128,48.33496974,49.61761937,51.07780767,52.66967048,54.26092804,55.67081372,56.78103564,57.52266308,57.9600538,58.27370545,58.71795562,59.47316745,60.60618695,62.05070612,63.69253531,65.35931406,66.92232683,68.35453934,69.69683927,70.97720242,72.24458642,73.53887021,74.85884331,76.19327505,77.55850706,78.97316745,80.45070612,81.99650303 -Middle East & North Africa (IDA & IBRD countries),TMN,23.20506129,23.90014378,24.595838699999998,25.28569945,25.96467541,26.630553999999997,27.28261804,27.91952391,28.54054819,29.14575326,29.73442681,30.30795006,30.871335,31.43136322,31.9935217,32.56006469,33.13169733,33.71124809,34.29915429,34.89757204,35.50720591,36.12952066,36.76601974,37.42927378,38.09864011,38.78653578,39.49203741,40.21074121,40.93354467,41.65635496,42.37481079 -Tonga,TON,130.6777778,131.0013889,131.3763889,131.7375,132.04027779999998,132.2861111,132.4986111,132.71805559999999,132.97083329999998,133.3,133.7125,134.19305559999998,134.7666667,135.3916667,136.0736111,136.7875,137.53055559999999,138.31805559999998,139.19166669999998,140.14583330000002,141.2583333,142.4736111,143.58194440000003,144.29166669999998,144.425,143.8361111,142.69027780000002,141.34444440000001,140.31666669999998,139.9736111,140.4625 -South Asia (IDA & IBRD),TSA,216.8355866,221.80869909999998,226.84498709999997,231.9542133,237.1411713,242.4050417,247.73529,253.11507459999999,258.8973748,264.3225529,269.74658860000005,275.1668012,280.5841107,286.0032827,291.403792,296.8250125,302.2345437,307.6145909,313.05328330000003,318.3143753,323.50116030000004,328.61319419999995,333.6445832,338.59040689999995,343.448913,348.2149428,352.8701581,357.48601569999994,362.06917910000004,366.63289060000005,371.1890581 -Sub-Saharan Africa (IDA & IBRD countries),TSS,21.41270452,22.03495844,22.67244607,23.32273772,23.98392134,24.65596123,25.33951138,26.03503518,26.74363501,27.46586893,28.2028507,28.95546582,29.72501452,30.51345912,31.32222278,32.15213495,33.00472022,33.88272496,34.78977695,35.72857733,36.70036581,37.70508881,38.74254078,39.81166836,40.91050626,42.04082504,43.20269244,44.39436228,45.61450523,46.86195089,48.13620016 -Trinidad and Tobago,TTO,230.6785575,232.85399610000002,234.72768030000003,236.4243665,238.034308,239.5912281,241.06881090000002,242.42027290000001,243.5711501,244.4834308,245.13625730000004,245.5844055,245.9444444,246.38070180000003,247.0083821,247.8814815,248.9693957,250.2064327,251.48596490000003,252.7294347,253.91052630000001,255.05867450000002,256.2267057,257.4912281,258.8980507,260.4635478,262.1475634,263.8791423,265.5637427,267.12046780000003,268.53099419999995 -Tunisia,TUN,48.38992019,49.56704428,50.72304325,51.88085736,53.05417096,54.24727729,55.44452239999999,56.61645211,57.723455200000004,58.73711379999999,59.65074665,60.47324279,61.21174691,61.87942842,62.48937951,63.04005536,63.53791838,64.01439882,64.51002188,65.05388131,65.66177909,66.32805098,67.03419799,67.75034758,68.45548404,69.14186406,69.81849897,70.500457,71.21009912,71.96156668,72.75969361 -Turkey,TUR,65.13329912,66.39674129,67.63479204,68.85449762,70.06192586,71.25578525,72.43603809999999,73.61174071,74.79464678,75.99295246,77.21019451,78.44362616,79.68722113,80.93161259,82.16960617,83.40662786,84.64504632,85.87165521,87.06902018,88.22871899,89.33748684,90.40947988,91.49669841,92.66972311,93.97631069,95.42749503,96.99857854,98.65593077,100.3493978,102.0352754,103.71441340000001 -Tuvalu,TUV,277.8666667,282.8333333,287.9,292.6333333,297.1,300.8666667,303.7333333,306.46666669999996,308.4,309.9333333,310.7666667,310.7666667,311.0666667,311.53333330000004,313.1333333,316.1333333,319.8666667,324.2,328.96666669999996,333.3333333,337.3333333,340.7,343.8,347.46666669999996,351.0,354.4333333,357.96666669999996,361.9,365.7333333,369.96666669999996,374.1666667 -Tanzania,TZA,25.17079025,25.93271619,26.72251976,27.55897268,28.4532005,29.41588846,30.437115600000002,31.48250508,32.50467261,33.47159065,34.36952585,35.21433394,36.03995936,36.89573154,37.81799503,38.81898397,39.89025514,41.02255814,42.19887898,43.40745089,44.64739557,45.92618424,47.24988033,48.62704222,50.06381237,51.5616821,53.11862836,54.73274554,56.4007925,58.11992888,59.89025739 -Uganda,UGA,75.423162,78.1380011,80.97754867,83.89491016,86.85447175,89.85301536,92.89662179,95.97111256,99.06181372,102.1628147,105.26410590000002,108.379951,111.55988190000001,114.87117759999998,118.36330509999999,122.06079779999999,125.95594309999998,130.026285,134.2340073,138.5545518,142.9932186,147.5718833,152.30336819999997,157.2048246,161.72036210000002,166.9505236,172.3477359,178.0133952,184.0821265,190.6316228,197.723449 -Ukraine,UKR,88.19711746,88.53542763,88.92897212,89.36394235,89.56830931,89.7566238,90.01536204,90.06507293,89.62009148,88.91481833,88.12945542,87.32993872,86.55303357,85.74091654,84.88219556,83.99482178,83.20238547,82.53003245,81.90635206,81.30272188,80.75770851,80.28128183,79.84911448,79.49549644,79.18031658,78.89609542,78.70148105,78.52248843,78.15110912,77.94720434,77.68936802 -Upper middle income,UMC,35.49511866,36.11166474,36.72951617,37.32741706,37.89855167,38.45203719,38.96935579,39.46700159,39.95735998,40.4332089,40.90005144,41.36106896,41.82562099,42.24300142,42.65367977,43.04408011,43.42167204,43.78799344,44.14813392,44.50630547,44.86002918,45.20530718,45.55537452,45.91507298,46.27214841,46.64169585,47.02500664,47.41727699,47.80930711,48.1946701,48.58001694 -Uruguay,URY,17.31601531,17.42418581,17.53345332,17.64709747,17.76711804,17.89315507,18.02344875,18.15646783,18.29020112,18.42235744,18.55434236,18.68451606,18.80386813,18.90076563,18.96775226,19.00053137,19.003771,18.99021826,18.97769398,18.97956234,19.00011999,19.03639013,19.08479602,19.13881842,19.19366358,19.24885156,19.30621643,19.3660096,19.42883099,19.49496629,19.56423266 -United States,USA,26.21836977,26.45376768,26.69506145,26.94836532,27.25451361,27.62114913,28.00689161,28.37865871,28.72880764,29.07295151,29.41316481,29.76942797,30.11848507,30.46634116,30.79730133,31.10362839,31.39354993,31.66453462,31.95894507,32.2548766,32.56739985,32.87861136,33.24368685,33.53639923,33.81518133,34.05953526,34.30814262,34.54457268,34.79680697,35.05197783,35.30408694 -Uzbekistan,UZB,43.52510108,44.60840856,45.70730371,46.8220945,48.21344617,49.25246827,50.42078044,51.5796897,52.602256700000005,53.56135402,54.59567466,55.63469676,56.53737659,57.15009403,57.94640339,58.68464974,59.40726375,60.10260931,60.80007052,61.51151857,62.26669017,63.15937941,64.18147626,65.27362482,67.14245416,68.96897038,69.99177245,71.093559,72.30300893,73.57522332,74.86577339 -St. Vincent and the Grenadines,VCT,269.7871795,271.5538462,273.1589744,274.5410256,275.6,276.34871789999994,276.7948718,277.0076923,277.0589744,277.01282050000003,276.8615385,276.6538462,276.4128205,276.30256410000004,276.3692308,276.6564103,277.17179489999995,277.7589744,278.2358974,278.49743589999997,278.4692308,278.2512821,277.9307692,277.6589744,277.5769231,277.7333333,278.03846150000004,278.5179487,279.1307692,279.8666667,280.66410260000004 -"Venezuela, RB",VEN,20.14851879,20.67085766,21.19930503,21.72946091,22.25799558,22.78364832,23.30670937,23.82733519,24.34618106,24.86376509,25.37911683,25.89166487,26.40277082,26.91439374,27.42752225,27.94226178,28.45689927,28.96845304,29.47292557,29.96706196,30.44067116,30.89123066,31.3313667,31.77938779,32.2430021,32.75139618,33.28887138,33.7663069,34.06284678,34.10444873,33.837286999999996 -British Virgin Islands,VGB,97.66,102.7133333,107.69333329999999,112.41333329999999,116.59333329999998,120.04,122.92,125.24,127.16,128.75333329999998,130.0133333,131.1,132.14,133.5066667,135.4066667,137.83333330000002,140.86,144.48,148.89333330000002,154.0466667,160.1533333,166.98,173.98,180.26,185.2933333,188.7933333,191.0,192.3133333,193.26,194.3466667,195.7 -Virgin Islands (U.S.),VIR,288.12,288.28857139999997,288.4342857,288.68857139999994,297.03714289999994,299.4485714,302.0342857,304.5085714,306.62285710000003,308.0514286,308.84285710000006,309.59142860000003,310.1057143,310.28285710000006,310.4057143,310.14,310.0285714,310.01714289999995,309.9057143,309.86857139999995,309.63142860000005,309.54,309.71142860000003,309.72857139999996,309.5942857,309.4057143,309.1171429,308.69714289999996,308.24,307.74285710000004,307.1714286 -Vietnam,VNM,191.38485359999999,195.71099569999998,200.0689391,204.4616855,208.88156930000002,213.33052940000002,217.7746812,222.1275861,226.2779747,230.1467357,233.7053151,236.97567969999997,239.9941934,242.8211957,256.8971002,259.5470732,262.54840440000004,265.4292773,267.88409390000004,270.3668881,272.8981843,275.4848615,278.1417519,280.879324,283.70255430000003,286.6177347,289.6200439,292.68704489999993,295.7867417,298.8908182,301.9922082 -Vanuatu,VUT,10.91017227,11.16316653,11.42863002,11.71402789,12.024036099999998,12.36390484,12.729286300000002,13.10451189,13.46423298,13.79474979,14.08712059,14.34954881,14.60106645,14.86997539,15.17407711,15.52247744,15.90812141,16.32149303,16.74544709,17.1683347,17.585726,18.00426579,18.43347006,18.88818704,19.37744053,19.90590648,20.46751436,21.05291222,21.64790812,22.24200164,22.83264971 -World,WLD,38.67709043,39.36681204,40.06376359,40.76069479,41.46815234,42.1585604,42.82047594,43.49056672,44.15652422,44.82442424,45.47601069,46.09994438,46.75127396,47.38073459,48.00243416,48.62573935,49.24744342,49.86873035,50.494901399999996,51.12456165,51.76205612,52.40177096,53.057881200000004,53.70761806,54.35288621,54.98858969,55.64120231,56.30033052,56.96518047,57.63083208,58.29612808 -Samoa,WSM,56.72932862,56.87809187,57.02332155,57.22261484,57.52756184,57.94946996,58.4770318,59.05265018,59.60918728,60.08975265,60.48233216,60.80141343,61.07385159,61.34593639999999,61.64452297,61.97597173,62.33462898,62.71519435,63.10600707,63.50777385,63.91378092,64.32720848,64.75724382,65.21413428,65.70636042,66.2434629,66.81554770000001,67.39116608,67.92261484,68.37915194,68.74028269 -Kosovo,XKX,157.7110315,161.01772759999997,164.508129,167.814825,171.02966840000002,174.3363645,177.4593552,180.49049319999997,183.4297786,186.36906399999998,189.12464409999998,191.60466609999997,180.5823459,161.84440159999997,156.1495361,156.2555341,156.3617158,156.46789750000002,156.5740792,156.6804446,157.9439699,159.2177827,160.5017911,161.7960871,163.1009461,164.508129,165.98750800000002,166.9988978,166.5078534,164.2505741,163.27335349999998 -"Yemen, Rep.",YEM,18.82892778,19.55043468,20.32475709,21.19282724,22.17927723,23.30080118,24.53577855,25.82358089,27.08035116,28.24651969,29.29953217,30.25866621,31.15766047,32.04945167,32.97360077,33.93824081,34.933217799999994,35.95848249,37.0098642,38.0843779,39.18337406,40.31008391,41.46475368,42.64723374,43.85638389,45.09269087,46.35334962,47.62980662,48.91089456,50.18824744,51.45786692 -South Africa,ZAF,27.61209226,28.27302756,28.93512353,29.61861857,30.33617374,31.09328244,31.87942115,32.67173087,33.43862286,34.15720021,34.82100339,35.43633284,36.00908424,36.55008532,37.06873192,37.566276200000004,38.04409648,38.51255554,38.98441995,39.46994947,39.97185617,40.49143839,41.03526614,41.61027706,42.22025076,42.86917871,43.55324419,44.258246299999996,44.96450469,45.65726121,46.33098451 -Zambia,ZMB,9.614023595,9.917858727999999,10.22111543,10.51965321,10.81107494,11.09331038,11.36865844,11.64460916,11.93147608,12.23665505,12.56370546,12.9105974,13.27227431,13.64097042,14.01141258,14.38301968,14.75900671,15.14244609,15.53779577,15.94889224,16.37567629,16.81884072,17.28370035,17.77685871,18.30261908,18.86384401,19.45832067,20.07896797,20.71557729,21.36074066,22.0120085 -Zimbabwe,ZWE,23.78221274,24.6276412,25.45980354,26.24751713,26.96761277,27.610171899999997,28.17759338,28.67459222,29.11139718,29.49648184,29.83382965,30.12341218,30.36596097,30.56150704,30.71339537,30.82309422,30.90161561,30.97382448,31.07124725,31.21804058,31.42171643,31.68132868,32.00090216,32.38197751,32.82337599,33.33156521,33.90236784,34.51042006,35.12131576,35.71055706,36.268295200000004 +New Zealand,NZL,12.328813945539501,12.4355322623524,12.469712506171401,12.5297178230982,12.645930652083099,13.273707796893401,13.412707455090999,13.566518552276799,13.7480536250047,13.9508564049979,14.173407770308799,14.3606395503399,14.488625574418002,14.5649614522806,14.6507918423151,14.7373817933235,14.9956325244009,15.2945197675743,15.5235274011621,15.699745547073801,15.892294253921198,16.041168204777602,16.1778891800539,16.340435228438,16.5231096426266,16.6495765447571,16.7411036420949,16.8702290076336,17.1269606167635,17.4535718354791,17.8238578101857 +OECD members,OED,30.0464832452907,30.2855654182921,30.5278045987463,30.7831162819671,31.053034755381397,31.3466220810074,31.6360294798102,31.9125267599543,32.1762014901667,32.4357581597969,32.6874979555176,32.9378429639505,33.1796380881713,33.4226423206473,33.6283579246731,33.878089968057104,34.1304862928246,34.3811340741266,34.6330600854377,34.8829237738199,35.143504090015696,35.408130079559,35.699904255179995,35.953534385340795,36.188457724083705,36.3724543447318,36.600784763768104,36.8339398247078,37.0794216586071,37.3237268398614,37.5608955883811 +Oman,OMN,5.04421647819063,5.23380613893376,5.4220032310177695,5.62570597738288,5.85512439418417,6.11879806138934,6.407996768982231,6.695004846526659,6.941579967689821,7.12205815831987,7.226668820678509,7.26902100161551,7.27581260096931,7.28563489499192,7.327861066235861,7.41506300484653,7.54396768982229,7.70974474959612,7.9015088852988695,8.11389660743134,8.338474959612281,8.58532471728594,8.88841033925687,9.29300807754443,9.82692730210016,10.5043877221325,11.302193861066199,12.1641518578352,13.0121486268174,13.787877221324699,14.472436187399001 +Other small states,OSS,7.72569848022234,7.93444058652056,8.1452236552605,8.35193362596083,8.54770909869737,8.73555021960621,8.903533359182472,9.06021565589316,9.250985690537302,9.41038443020632,9.575504186776438,9.74724294389303,9.92155559276242,10.1066893135927,10.2921679585519,10.4691327344616,10.6474447318621,10.8340549146717,11.051585490450302,11.291356386795002,11.565702688925299,11.870198674080699,12.1940367327933,12.516794720508802,12.828552718704099,13.1225175522821,13.407796200009301,13.6798696546316,13.9603128111125,14.247921053911199,14.540084944834302 +Pakistan,PAK,123.515174865089,127.498125518888,131.524495381901,135.576070205479,139.642902916148,143.704140722291,147.767649958489,151.887044676214,156.136833229556,160.565637972188,165.199888439186,170.010158520133,174.92117190743,179.82645937110803,184.650760170195,189.365922063097,193.998676836862,198.5955959423,203.22838444375301,207.949366957244,212.77322929638902,217.683822384807,222.66628528435,227.69511337692,232.75301084474899,237.832855956829,242.94504332710702,248.10984718762995,253.355677926526,258.700399543379,264.14913345786596 +Panama,PAN,30.515200430454698,31.1846112456282,31.8610573042776,32.5454129674469,33.2384584342211,33.940247511434,34.6509819747108,35.3723432875975,36.1059456550982,36.8532149582997,37.6148910411622,38.3900053806833,39.175625504439104,39.9676620930858,40.763088512241104,41.5610438525693,42.3619585687382,43.1671778315846,43.97842345977939,44.7971078827011,45.6237019101426,46.4578288942696,47.298950766747396,48.1465563626581,49.000363196125896,49.858528383104705,50.72133440947,51.593179983858,52.479351627656705,53.3829297820823,54.3055959106807 +Peru,PER,15.8049875,16.16506484375,16.52613984375,16.88608828125,17.24330703125,17.5956078125,17.9428265625,18.28760234375,18.6339125,18.98371875,19.338925,19.6960578125,20.0453609375,20.37366640625,20.67183125,20.93694140625,21.17263125,21.3845515625,21.58141640625,21.77042578125,21.95473125,22.135196875,22.31431015625,22.49426171875,22.6778703125,22.8627484375,23.052178125,23.26092734375,23.50809296875,23.8052609375,24.1609625 +Philippines,PHL,186.991833517792,192.050964215045,197.186172317805,202.37034912969102,207.583459100513,212.814119462052,218.063909850086,223.34206660629798,228.664382734682,234.041278465305,239.466576114297,244.930355166516,250.43436294731202,255.981242244357,261.56808196666304,267.206201160412,272.882107522554,278.538991179528,284.1014924372,289.520240131469,294.760287755307,299.847342120267,304.866234027568,309.937813998726,315.14498440487006,320.522007579569,326.03091524969,331.594566857833,337.100103967535,342.46641848609903,347.66719321192596 +Papua New Guinea,PNG,9.24457669036788,9.47878593825907,9.71453429315903,9.95228326635163,10.192640109526101,10.434895994347,10.6792761559864,10.9284348363733,11.1859316345007,11.4540034447732,11.734858455151699,12.027207083867,12.325579649339799,12.6223579031047,12.912569005873802,13.1931038289979,13.4669014706532,13.742386167910599,14.031367309985399,14.341966612198,14.6775935167601,15.0344786468224,15.404763061431801,15.7770083469505,16.142973545908198,16.5000220818796,16.8506867464559,17.1982047431877,17.5478757231816,17.903491145166303,18.2656008479442 +Poland,POL,122.289722158738,122.98163505174801,123.492399360084,123.939825002449,124.42711809069799,124.86921871428999,125.252757190898,125.571869796598,125.837121682066,126.008025074276,126.103921120507,126.186489927846,126.23161383003,126.221133566228,124.90982075810498,124.875366482745,124.81753893368999,124.753689916405,124.644083178272,124.58931544412901,124.51445220684299,124.44685296421999,124.47195233431299,124.56446062426501,124.209200731357,124.29629690102199,124.300058781268,124.22911074099501,124.144273163722,124.061569613639,124.008253045495 +Pre-demographic dividend,PRE,20.9019113557915,21.4662130370707,22.054950335787698,22.6745155342378,23.3288247477182,24.022473906299602,24.753113531904997,25.509192675044602,26.274472783740396,27.0379962218345,27.794991470885,28.5510371150908,29.3181811359416,30.113821058596802,30.950541859200396,31.8333231317871,32.758624556146195,33.720280248817396,34.7084179728233,35.7163639086882,36.7417555384814,37.7885303920872,38.8636874984299,39.983983077527206,41.1410210119059,42.3466481342682,43.597170660833704,44.8861832160592,46.2035851717826,47.5430449453838,48.902542900270994 +Puerto Rico,PRI,384.39165727170194,388.03269447576105,391.64577226606497,395.22547914317903,398.75986471251406,401.59075535513,404.191206313416,407.609582863585,411.413416009019,415.231454340474,419.91600901916604,423.836527621195,426.27970687711405,428.419503945885,429.605975197294,430.52694475761,431.08241262683197,431.35231116121804,431.440586245772,430.818714768884,428.998196166855,426.49323562570504,423.998421645998,421.69222096956,419.56313416009004,414.73866967305497,409.750620067644,405.081961668546,398.520180383315,391.57068771138705,384.066741826381 +"Korea, Dem. People’s Rep.",PRK,159.096379038286,161.381828751765,163.67679594718,166.047296736151,168.53296237854,171.158126401462,173.88426210447602,176.61185948011,179.20423552861098,181.565476289345,183.651175151566,185.49345569304901,187.166788472718,188.784004650777,190.42500622871898,192.11842870193502,193.83317830745,195.518860559754,197.099335603355,198.523104393323,199.77463665808497,200.883074495474,201.894709741716,202.876347479445,203.87705340088002,204.911427622291,205.968042521385,207.03805331783101,208.103579436924,209.15067685408198,210.17975251225 +Portugal,PRT,109.647366120219,109.617825136612,109.50393442623002,109.344262295082,109.10620765027299,108.855027322404,108.770426229508,108.90355191256799,109.19699453551901,109.57569398907101,109.98846994535499,110.48062295081999,111.040393442623,111.67025136612,112.457901639344,113.25379234972701,113.87574863388001,114.304054644809,114.57771584699499,114.82814037389299,115.03539958456301,115.26144090958799,115.427757734776,115.386472322306,115.43945845616301,115.269789278306,114.803406485424,114.156134532831,113.541775697936,113.07252488776301,112.71638943828998 +Paraguay,PRY,9.52195821797131,9.7954543166373,10.0721897810219,10.350833123584199,10.630291970802901,10.9095016360433,11.188059400956499,11.4661993455827,11.7445104455072,12.023264535615402,12.3021193053108,12.5801661213189,12.85637805185,13.1294966020639,13.3984419833879,13.6633375283161,13.923891266045802,14.1781600805437,14.4237326956959,14.659189529322902,14.8834860307073,15.097978857286698,15.306559275107,15.514653913919,15.7262018625724,15.9425522275359,16.162879436194302,16.3862975081802,16.6109388371508,16.8355046564309,17.0598338786811 +Pacific island small states,PSS,25.605695195672897,25.944813872096702,26.2558383709831,26.582039452752102,26.954056633789396,26.8105451713396,27.2729127725857,27.7588785046729,28.237289719626197,28.686806853582603,29.1030218068536,29.4928971962617,29.8619158878505,30.2179439252336,30.5677881619938,30.9111526479751,31.247320872274102,31.5863862928349,31.940373831775698,32.3174143302181,32.7238161993769,33.1567601246106,33.6052024922118,34.054735202492196,34.4940654205607,34.9189719626168,35.338130841121504,35.7648130841121,36.2170716510903,36.692710280373795,37.201043613707206 +Post-demographic dividend,PST,29.9324001169343,30.1012311839952,30.2766035471883,30.4648413161776,30.6589316508763,30.8726633506256,31.0865509641994,31.2900363627534,31.4736795843227,31.6459756332558,31.815367107919002,31.9775183185678,32.1331256023782,32.2867658386297,32.412307495602,32.5680914810307,32.734393363913696,32.8975056158872,33.0682107201542,33.236448672868,33.4177358169728,33.6059429122869,33.82571061466,33.9991430811663,34.1559132948316,34.2493817511097,34.396513907020996,34.5491840407145,34.7061555807482,34.8613607025828,35.0043403668486 +French Polynesia,PYF,49.676775956284196,50.9792349726776,52.25846994535521,53.4770491803279,54.6188524590164,55.6628415300546,56.6243169398907,57.55245901639339,58.52377049180329,59.5822404371585,60.7437158469945,61.9852459016393,63.2704918032787,64.5412568306011,65.7612021857924,66.9210382513661,68.0251366120219,69.0445355191257,69.9431693989071,70.7049180327869,71.3142076502732,71.781693989071,72.1478142076503,72.4737704918033,72.801912568306,73.14153005464479,73.49672131147541,73.8601092896175,74.23633879781421,74.624043715847,75.0204918032787 +Qatar,QAT,34.2583979328165,36.3607235142119,38.208871662359996,39.766580534022395,41.0230835486649,41.9770025839793,42.6696813092162,43.193712316968096,43.67278208441,44.2241171403962,45.006976744186,46.108613264427206,47.5074935400517,49.1377260981912,51.0308354866494,52.9726098191214,55.1996554694229,58.7242032730405,64.8866494401378,74.5405684754522,88.0888027562446,104.94694229112801,123.74375538328998,142.545219638243,159.890353143842,175.354952627046,189.15366063738202,201.25529715762298,211.81722652885398,220.991386735573,228.628251507321 +Romania,ROU,99.1440522705566,99.6328470955978,100.10272640444599,100.987390451275,101.16344015696501,100.24036869171101,99.33881286498742,99.2036956332258,99.0379983442987,98.8464421107674,98.5491634715929,98.2615692937742,98.03277146217171,97.8747386759582,97.701323407775,96.3474380740934,94.53384956714659,93.82181343770391,93.2684695652174,92.7023436820593,92.15479606922341,90.8390186610988,89.3339495432797,88.53119620968441,88.0107411432297,87.5332493374462,87.20126510738199,86.8742903099596,86.5306806328234,86.1248956884562,85.6322453059805 +Russian Federation,RUS,8.84041745093792,8.90228463174079,8.9601859676204,9.012901198600359,9.028057254598089,9.053976125613561,9.06276083819658,9.059999157826901,9.059576481274721,9.059246824166982,9.04631156749681,9.03098613133561,9.014594934467961,8.9828041719473,8.94901570933758,8.91163375342787,8.870461463139481,8.83027865243716,8.79465803239439,8.76108889416588,8.73439418381291,8.71946397976766,8.716095688614491,8.718720304917849,8.72263552192818,8.72944024102286,8.74414469920076,8.76278525750037,8.78187748941037,8.79880404497318,8.8137962870805 +Rwanda,RWA,261.19785164167,274.827036886907,287.32026753141497,294.973044183218,295.455289825699,287.14775030401296,271.675881637617,253.901783542764,240.626712606405,236.582691528172,243.741670044589,260.23109039319,282.237616538306,304.06299148763696,321.592257803,333.65042561816,341.59140656668,346.86505877584096,351.86558573165803,358.33867044993895,366.572233481962,375.9123226591,386.077584110255,396.545196595055,406.945196595055,417.24081880826895,427.631860559384,438.24657478719104,449.275841102554,460.84600729631103,472.99627077422 +South Asia,SAS,216.835586603864,221.80869905564097,226.844987145588,231.954213348675,237.141171347025,242.405041655942,247.73529001617,253.115074625905,258.897374767176,264.322552907974,269.74658855918096,275.166801175803,280.58411074166503,286.003282693367,291.403791957698,296.825012465275,302.23454368712396,307.614590866619,313.053283254752,318.314375342874,323.501160341321,328.613194162109,333.644583156242,338.59040693785903,343.448913046504,348.214942810318,352.87015805724195,357.48601566621596,362.06917905271,366.632890589216,371.18905809503195 +Saudi Arabia,SAU,6.41681591299211,6.71988565793207,7.010351259949111,7.287700552172639,7.551686522242741,7.802378017295519,8.039620131274742,8.26319050653815,8.47306820983491,8.67045341421321,8.85422781889482,9.027879368653151,9.20286366871502,9.394157762282,9.61247575231778,9.86311607720183,10.143468593146,10.4464592569161,10.760938553931,11.078891840218802,11.3962059645809,11.7154552516875,12.042918281240599,12.3879736148003,12.7560071452163,13.1496564620945,13.5625076173774,13.9799310598272,14.3820709032465,14.754530653257001,15.0917443910517 +Senegal,SEN,34.6473952111359,35.7126369916377,36.807910455513394,37.934436191762295,39.091606502882705,40.282013192749204,41.5005245935698,42.7297564015998,43.9467511556641,45.13667480392671,46.2933620734431,47.42573624889629,48.552298343115396,49.6999013140809,50.8893886667013,52.127481431465206,53.4134888069392,54.7523347010855,56.1475250610294,57.6020152703475,59.1194515140498,60.702643743832105,62.352365865059994,64.0683737599335,65.8502467147977,67.6975484340103,69.609884173895,71.5858307796188,73.62349244273621,75.7204539552278,77.87632057341709 +Singapore,SGP,4079.66119402985,4141.47611940299,4247.9223880597,4374.47910447761,4547.9582089552205,4679.22835820895,4821.93731343284,4945.47910447761,5103.05671641791,5260.45671641791,5478.66268656716,5665.72835820895,5861.511940298511,5908.54179104478,6011.77164179105,6176.13731343284,6186.59259259259,5989.5577624262,6047.40770351797,6191.23643763313,6342.0243562368705,6602.30071942446,6913.42285714286,7125.104285714291,7231.812280195721,7363.1930222252695,7524.698462914709,7636.72168748833,7714.702231710841,7806.772751591121,7908.72056321932 +Solomon Islands,SLB,9.962022150768131,10.2490175062522,10.538478027867098,10.8350125044659,11.142050732404401,11.460521614862499,11.7897463379778,12.129474812433,12.478778135048199,12.8360485887817,13.2019649874955,13.576241514826698,13.9583065380493,14.347481243301198,14.7431225437656,15.1462665237585,15.5566988210075,15.970596641657698,16.3822436584494,16.7887817077528,17.1874955341193,17.5824222936763,17.9835655591283,18.405894962486602,18.858913897820603,19.346945337620603,19.8665237584852,20.4121114683816,20.9745980707396,21.5476241514827,22.1306538049303 +Sierra Leone,SLE,54.2627459129953,55.9454696591854,57.5870601274591,58.942144638403995,59.847076752563,60.247436963147706,60.23446938210029,59.9744666112497,59.7087143252979,59.6281102798559,59.7487669714602,60.0623579939041,60.7021751177612,61.822914934885,63.51580770296479,65.8641174840676,68.7969797727903,72.0569409808811,75.28388750346359,78.2159046827376,80.7597256857855,82.9818924909947,84.976489332225,86.9040454419507,88.8838182321973,90.9287891382654,92.9977971737323,95.0953172623996,97.2172901080632,99.36151288445551,101.535577722361 +El Salvador,SLV,241.42548262548303,244.572249034749,247.744884169884,250.994305019305,254.347442084942,257.828088803089,261.40555019305,264.984411196911,268.432384169884,271.650579150579,274.610907335907,277.33030888030896,279.814913127413,282.08716216216203,284.166795366795,286.052413127413,287.747876447876,289.289430501931,290.72379343629296,292.09087837837797,293.407287644788,294.68194980695,295.934555984556,297.18561776061796,298.44956563706603,299.73783783783796,301.05805984556,302.416505791506,303.818918918919,305.26660231660196,306.763658301158 +San Marino,SMR,384.1,388.25,392.51666666666705,396.95,402.083333333333,407.666666666667,413.7,420.15,426.366666666667,432.133333333333,437.53333333333296,442.7,447.333333333333,452.416666666667,457.7,463.53333333333296,469.583333333333,476.03333333333296,482.333333333333,488.73333333333295,495.0,501.05,507.23333333333295,513.6,520.483333333333,527.6833333333329,535.083333333333,542.55,549.133333333333,554.533333333333,558.4 +Somalia,SOM,10.7385915133739,10.938682373194801,11.166566773998198,11.370641119647999,11.517027449230099,11.5950361845251,11.6290751426659,11.661722510919098,11.752156725220802,11.9419086938502,12.2464469027959,12.650439952816699,13.126955080179801,13.6347132336532,14.142656294832099,14.643933114419598,15.145442662671002,15.6460802754487,16.1479309465362,16.6526333407721,17.1580084164887,17.6620668218191,18.1674817483342,18.6783753626423,19.198334236618102,19.728220741543698,20.2689291293398,20.8239646762521,21.3976089520834,21.993179137309898,22.6123202728983 +Sub-Saharan Africa (excluding high income),SSA,21.3637050711191,21.9855343267836,22.622747664703496,23.2727184894633,23.933609794524603,24.6051435523193,25.288091177526397,25.9830174357145,26.690879956471,27.412694281984102,28.149166757652896,28.901154913723502,29.670150494048098,30.4579148891998,31.2661929634726,32.0957558490452,32.9479299798982,33.8256700757697,34.7324834273619,35.671034438073,36.6425844726035,37.647139604714106,38.6844112130679,39.75349228274921,40.8522046847989,41.9826719715387,43.1444712503067,44.3360728507859,45.55618506332829,46.803601302340496,48.0778998609297 +Sub-Saharan Africa,SSF,21.4127045163235,22.034958444983896,22.6724460746764,23.3227377151796,23.9839213448185,24.655961231470002,25.3395113812675,26.035035181943197,26.743635009513604,27.465868925360102,28.2028506983502,28.955465816632902,29.7250145246225,30.5134591231873,31.3222227771283,32.152134951898304,33.0047202180867,33.8827249589225,34.7897769500065,35.7285773327095,36.700365809271204,37.705088805045705,38.7425407779385,39.8116683600227,40.9105062628929,42.0408250383071,43.20269244133571,44.3943622838012,45.614505233067796,46.861950891294,48.136200161416205 +Small states,SST,9.26208324458971,9.456094359463869,9.649452886964221,9.840471912663011,10.025896876424,10.2035399577185,10.373663646682301,10.536423025253699,10.730566035060301,10.893142227967301,11.0580067567976,11.226446510673401,11.3956438460612,11.573049447202802,11.750720501707999,11.9215485362975,12.0933896112835,12.2720962053717,12.477257836816301,12.7000233647125,12.9514931246654,13.2280771047412,13.5208981088401,13.813230776022902,14.0968764902302,14.3662666967668,14.628892879330802,14.8806232176405,15.1401113813003,15.405487985310499,15.674755181039698 +Sao Tome and Principe,STP,111.905208333333,114.847916666667,118.005208333333,121.166666666667,124.176041666667,127.0375,129.766666666667,132.35625,134.81979166666702,137.16458333333298,139.38125,141.49166666666702,143.591666666667,145.790625,148.189583333333,150.786458333333,153.590625,156.682291666667,160.142708333333,164.033333333333,168.417708333333,173.229166666667,178.25,183.204166666667,187.88645833333302,192.2125,196.25416666666698,200.090625,203.882291666667,207.741666666667,211.694791666667 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Republic,SVK,107.98,108.582952182952,109.16,109.686943866944,110.170207900208,110.255592515593,110.29139293139299,110.713201663202,111.150332640333,111.476070686071,111.712286902287,111.91873180873199,112.06893970894,112.183367983368,112.03160083160101,111.82675675675699,111.786112266112,111.689336936188,111.689812889813,111.700769230769,111.705904365904,111.738503118503,111.834365904366,112.006778956124,112.108874644293,112.26052693517799,112.451738887712,112.572642236492,112.70068635607299,112.80314420534401,112.953369384359 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https://www.eia.gov/international/data/world/total-energy/total-energy-consumption?pd=44&p=0000000010000000000000000000000000000000000000000000000000u&u=0&f=A&v=mapbubble&a=-&i=none&vo=value&&t=C&g=00000000000000000000000000000000000000000000000001&l=249-ruvvvvvfvtvnvv1vrvvvvfvvvvvvfvvvou20evvvvvvvvvvvvvvs&s=315532800000&e=1483228800000 \ No newline at end of file +Energy Consumption by Country data source: https://www.eia.gov/international/data/world/total-energy/total-energy-consumption?pd=44&p=0000000010000000000000000000000000000000000000000000000000u&u=0&f=A&v=mapbubble&a=-&i=none&vo=value&&t=C&g=00000000000000000000000000000000000000000000000001&l=249-ruvvvvvfvtvnvv1vrvvvvfvvvvvvfvvvou20evvvvvvvvvvvvvvs&s=315532800000&e=1483228800000 + +World Population: https://data.worldbank.org/indicator/SP.POP.TOTL \ No newline at end of file diff --git a/Resources/world population.csv b/Resources/world population.csv new file mode 100644 index 0000000..d8884cf --- /dev/null +++ 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'total_consumption.csv']" ] }, - "execution_count": 27, + "execution_count": 1, "metadata": {}, "output_type": "execute_result" } @@ -84,7 +84,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -163,19 +163,19 @@ "4 4 GCAG 2014 0.7408" ] }, - "execution_count": 5, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "temp_df = data_dfs[-2]\n", + "temp_df = data_dfs['Temperature_Delta_1986 to 2016']\n", "temp_df.head()" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -184,7 +184,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -193,17 +193,17 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ - "cons_df = data_dfs[0].set_index('Location')\n", + "cons_df = data_dfs['clean_energy_consumption_data'].set_index('Location')\n", "con_by_year = cons_df.loc['World'].astype(float).sum()" ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -212,7 +212,7 @@ "Text(0, 0.5, '+/- C from mean for 1880-2020')" ] }, - "execution_count": 9, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" }, @@ -236,7 +236,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -255,7 +255,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -264,242 +264,18 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 10, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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YearMean
619860.20980
719870.34980
819880.39285
919890.29350
1019900.43640
1119910.41775
1219920.24355
1319930.26265
1419940.33045
1519950.45885
1619960.33640
1719970.49935
1819980.63720
1919990.43190
2020000.42310
2120010.54865
2220020.61615
2320030.61670
2420040.56415
2520050.67425
2620060.62125
2720070.63500
2820080.54095
2920090.63835
3020100.70570
3120110.58940
3220120.62700
3320130.65895
3420140.74040
3520150.88490
3620160.96315
\n", - "
" - ], - "text/plain": [ - " Year Mean\n", - "6 1986 0.20980\n", - "7 1987 0.34980\n", - "8 1988 0.39285\n", - "9 1989 0.29350\n", - "10 1990 0.43640\n", - "11 1991 0.41775\n", - "12 1992 0.24355\n", - "13 1993 0.26265\n", - "14 1994 0.33045\n", - "15 1995 0.45885\n", - "16 1996 0.33640\n", - "17 1997 0.49935\n", - "18 1998 0.63720\n", - "19 1999 0.43190\n", - "20 2000 0.42310\n", - "21 2001 0.54865\n", - "22 2002 0.61615\n", - "23 2003 0.61670\n", - "24 2004 0.56415\n", - "25 2005 0.67425\n", - "26 2006 0.62125\n", - "27 2007 0.63500\n", - "28 2008 0.54095\n", - "29 2009 0.63835\n", - "30 2010 0.70570\n", - "31 2011 0.58940\n", - "32 2012 0.62700\n", - "33 2013 0.65895\n", - "34 2014 0.74040\n", - "35 2015 0.88490\n", - "36 2016 0.96315" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "temp_df = temp_df[temp_df.Year > 1985]\n", - "temp_df" + "temp_df\n", + "temp_df.to_csv('../Cleaned Data/temperature.csv',index=False)" ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -914,7 +690,7 @@ "[1154 rows x 31 columns]" ] }, - "execution_count": 13, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -925,7 +701,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -1116,7 +892,7 @@ "2016 1147.901651" ] }, - "execution_count": 14, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -1129,7 +905,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -1139,7 +915,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -1362,7 +1138,7 @@ "30 2016 1147.901651" ] }, - "execution_count": 16, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -1374,7 +1150,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -1597,7 +1373,7 @@ "30 2016 1147.901651" ] }, - "execution_count": 17, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -1609,7 +1385,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ @@ -1619,7 +1395,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -1874,7 +1650,7 @@ "30 2016 1147.901651 0.96315" ] }, - "execution_count": 19, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -1886,7 +1662,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -2141,7 +1917,7 @@ "30 2016 1147.901651 0.96315" ] }, - "execution_count": 20, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -2153,16 +1929,16 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 19, "metadata": {}, "outputs": [], "source": [ - "main.to_csv('../Cleaned Data/Global_Consumption_and_Temperature.csv')" + "main.to_csv('../Cleaned Data/Global_Consumption_and_Temperature.csv', index=False)" ] }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -2209,7 +1985,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -2239,16 +2015,16 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[]" + "[]" ] }, - "execution_count": 23, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" }, @@ -2266,13 +2042,13 @@ } ], "source": [ - "plt.plot(main.Year,main.Consumption)\n", - "plt.plot(main.Year,main['Temperature Delta'].astype(float))" + "# plt.plot(main.Year,main.Consumption)\n", + "# plt.plot(main.Year,main['Temperature Delta'].astype(float))" ] }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -2289,9 +2065,9 @@ } ], "source": [ - "plt.plot(con_by_year)\n", - "plt.xticks(rotation=90)\n", - "plt.show()" + "# plt.plot(con_by_year)\n", + "# plt.xticks(rotation=90)\n", + "# plt.show()" ] }, { diff --git a/Scripts/attempt to merge code.ipynb b/Scripts/attempt to merge code.ipynb index 4af875f..2ab98a8 100644 --- a/Scripts/attempt to merge code.ipynb +++ b/Scripts/attempt to merge code.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - 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Country NameCountry CodeIndicator NameIndicator Code196019611962196319641965...2010201120122013201420152016201720182019
0ArubaABWPopulation density (people per sq. km of land ...EN.POP.DNSTNaN307.988889312.361111314.972222316.844444318.666667...564.827778566.922222569.777778573.105556576.522222579.672222582.622222585.366667588.027778NaN
1AfghanistanAFGPopulation density (people per sq. km of land ...EN.POP.DNSTNaN14.04498714.32380814.61753714.92629515.250314...44.70408246.13150347.73056449.42803851.11477852.71207154.19711455.59599356.937760NaN
2AngolaAGOPopulation density (people per sq. km of land ...EN.POP.DNSTNaN4.4368914.4987084.5555934.6001804.628676...18.73445619.42781820.13951320.86771521.61047522.36655323.13506423.91653824.713052NaN
3AlbaniaALBPopulation density (people per sq. km of land ...EN.POP.DNSTNaN60.57664262.45689864.32923466.20930768.058066...106.314635106.029015105.854051105.660292105.441752105.135146104.967190104.870693104.612263NaN
4AndorraANDPopulation density (people per sq. km of land ...EN.POP.DNSTNaN30.58510632.70212834.91914937.16808539.465957...179.678723178.185106175.376596171.859575168.538298165.980851164.461702163.831915163.842553NaN
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5 rows × 64 columns

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" - ], - "text/plain": [ - " Country Name Country Code \\\n", - "0 Aruba ABW \n", - "1 Afghanistan AFG \n", - "2 Angola AGO \n", - "3 Albania ALB \n", - "4 Andorra AND \n", - "\n", - " Indicator Name Indicator Code 1960 \\\n", - "0 Population density (people per sq. km of land ... EN.POP.DNST NaN \n", - "1 Population density (people per sq. km of land ... EN.POP.DNST NaN \n", - "2 Population density (people per sq. km of land ... EN.POP.DNST NaN \n", - "3 Population density (people per sq. km of land ... EN.POP.DNST NaN \n", - "4 Population density (people per sq. km of land ... EN.POP.DNST NaN \n", - "\n", - " 1961 1962 1963 1964 1965 ... \\\n", - "0 307.988889 312.361111 314.972222 316.844444 318.666667 ... \n", - "1 14.044987 14.323808 14.617537 14.926295 15.250314 ... \n", - "2 4.436891 4.498708 4.555593 4.600180 4.628676 ... \n", - "3 60.576642 62.456898 64.329234 66.209307 68.058066 ... \n", - "4 30.585106 32.702128 34.919149 37.168085 39.465957 ... \n", - "\n", - " 2010 2011 2012 2013 2014 2015 \\\n", - "0 564.827778 566.922222 569.777778 573.105556 576.522222 579.672222 \n", - "1 44.704082 46.131503 47.730564 49.428038 51.114778 52.712071 \n", - "2 18.734456 19.427818 20.139513 20.867715 21.610475 22.366553 \n", - "3 106.314635 106.029015 105.854051 105.660292 105.441752 105.135146 \n", - "4 179.678723 178.185106 175.376596 171.859575 168.538298 165.980851 \n", - "\n", - " 2016 2017 2018 2019 \n", - "0 582.622222 585.366667 588.027778 NaN \n", - "1 54.197114 55.595993 56.937760 NaN \n", - "2 23.135064 23.916538 24.713052 NaN \n", - "3 104.967190 104.870693 104.612263 NaN \n", - "4 164.461702 163.831915 163.842553 NaN \n", - "\n", - "[5 rows x 64 columns]" - ] + "text/plain": " Country Name Country Code \\\n0 Aruba ABW \n1 Afghanistan AFG \n2 Angola AGO \n3 Albania ALB \n4 Andorra AND \n\n Indicator Name Indicator Code 1960 \\\n0 Population density (people per sq. km of land ... EN.POP.DNST NaN \n1 Population density (people per sq. km of land ... EN.POP.DNST NaN \n2 Population density (people per sq. km of land ... EN.POP.DNST NaN \n3 Population density (people per sq. km of land ... EN.POP.DNST NaN \n4 Population density (people per sq. km of land ... EN.POP.DNST NaN \n\n 1961 1962 1963 1964 1965 ... \\\n0 307.988889 312.361111 314.972222 316.844444 318.666667 ... \n1 14.044987 14.323808 14.617537 14.926295 15.250314 ... \n2 4.436891 4.498708 4.555593 4.600180 4.628676 ... \n3 60.576642 62.456898 64.329234 66.209307 68.058066 ... \n4 30.585106 32.702128 34.919149 37.168085 39.465957 ... \n\n 2011 2012 2013 2014 2015 2016 \\\n0 566.922222 569.777778 573.105556 576.522222 579.672222 582.622222 \n1 46.131503 47.730564 49.428038 51.114778 52.712072 54.197114 \n2 19.427818 20.139513 20.867715 21.610475 22.366552 23.135064 \n3 106.029015 105.854051 105.660292 105.441752 105.135146 104.967190 \n4 178.185106 175.376596 171.859574 168.538298 165.980851 164.461702 \n\n 2017 2018 2019 Unnamed: 64 \n0 585.366667 588.027778 NaN NaN \n1 55.595993 56.937760 NaN NaN \n2 23.916538 24.713052 NaN NaN \n3 104.870693 104.612263 NaN NaN \n4 163.831915 163.842553 NaN NaN \n\n[5 rows x 65 columns]", + "text/html": "
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Country NameCountry CodeIndicator NameIndicator Code196019611962196319641965...201120122013201420152016201720182019Unnamed: 64
0ArubaABWPopulation density (people per sq. km of land ...EN.POP.DNSTNaN307.988889312.361111314.972222316.844444318.666667...566.922222569.777778573.105556576.522222579.672222582.622222585.366667588.027778NaNNaN
1AfghanistanAFGPopulation density (people per sq. km of land ...EN.POP.DNSTNaN14.04498714.32380814.61753714.92629515.250314...46.13150347.73056449.42803851.11477852.71207254.19711455.59599356.937760NaNNaN
2AngolaAGOPopulation density (people per sq. km of land ...EN.POP.DNSTNaN4.4368914.4987084.5555934.6001804.628676...19.42781820.13951320.86771521.61047522.36655223.13506423.91653824.713052NaNNaN
3AlbaniaALBPopulation density (people per sq. km of land ...EN.POP.DNSTNaN60.57664262.45689864.32923466.20930768.058066...106.029015105.854051105.660292105.441752105.135146104.967190104.870693104.612263NaNNaN
4AndorraANDPopulation density (people per sq. km of land ...EN.POP.DNSTNaN30.58510632.70212834.91914937.16808539.465957...178.185106175.376596171.859574168.538298165.980851164.461702163.831915163.842553NaNNaN
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5 rows × 65 columns

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Country NameCountry CodeIndicator NameIndicator Code196019611962196319641965...2010201120122013201420152016201720182019
0ArubaABWPopulation density (people per sq. km of land ...EN.POP.DNSTNaN307.988889312.361111314.972222316.844444318.666667...564.827778566.922222569.777778573.105556576.522222579.672222582.622222585.366667588.027778NaN
1AfghanistanAFGPopulation density (people per sq. km of land ...EN.POP.DNSTNaN14.04498714.32380814.61753714.92629515.250314...44.70408246.13150347.73056449.42803851.11477852.71207154.19711455.59599356.937760NaN
2AngolaAGOPopulation density (people per sq. km of land ...EN.POP.DNSTNaN4.4368914.4987084.5555934.6001804.628676...18.73445619.42781820.13951320.86771521.61047522.36655323.13506423.91653824.713052NaN
3AlbaniaALBPopulation density (people per sq. km of land ...EN.POP.DNSTNaN60.57664262.45689864.32923466.20930768.058066...106.314635106.029015105.854051105.660292105.441752105.135146104.967190104.870693104.612263NaN
4AndorraANDPopulation density (people per sq. km of land ...EN.POP.DNSTNaN30.58510632.70212834.91914937.16808539.465957...179.678723178.185106175.376596171.859575168.538298165.980851164.461702163.831915163.842553NaN
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5 rows × 64 columns

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" - ], - "text/plain": [ - " Country Name Country Code \\\n", - "0 Aruba ABW \n", - "1 Afghanistan AFG \n", - "2 Angola AGO \n", - "3 Albania ALB \n", - "4 Andorra AND \n", - "\n", - " Indicator Name Indicator Code 1960 \\\n", - "0 Population density (people per sq. km of land ... EN.POP.DNST NaN \n", - "1 Population density (people per sq. km of land ... EN.POP.DNST NaN \n", - "2 Population density (people per sq. km of land ... EN.POP.DNST NaN \n", - "3 Population density (people per sq. km of land ... EN.POP.DNST NaN \n", - "4 Population density (people per sq. km of land ... EN.POP.DNST NaN \n", - "\n", - " 1961 1962 1963 1964 1965 ... \\\n", - "0 307.988889 312.361111 314.972222 316.844444 318.666667 ... \n", - "1 14.044987 14.323808 14.617537 14.926295 15.250314 ... \n", - "2 4.436891 4.498708 4.555593 4.600180 4.628676 ... \n", - "3 60.576642 62.456898 64.329234 66.209307 68.058066 ... \n", - "4 30.585106 32.702128 34.919149 37.168085 39.465957 ... \n", - "\n", - " 2010 2011 2012 2013 2014 2015 \\\n", - "0 564.827778 566.922222 569.777778 573.105556 576.522222 579.672222 \n", - "1 44.704082 46.131503 47.730564 49.428038 51.114778 52.712071 \n", - "2 18.734456 19.427818 20.139513 20.867715 21.610475 22.366553 \n", - "3 106.314635 106.029015 105.854051 105.660292 105.441752 105.135146 \n", - "4 179.678723 178.185106 175.376596 171.859575 168.538298 165.980851 \n", - "\n", - " 2016 2017 2018 2019 \n", - "0 582.622222 585.366667 588.027778 NaN \n", - "1 54.197114 55.595993 56.937760 NaN \n", - "2 23.135064 23.916538 24.713052 NaN \n", - "3 104.967190 104.870693 104.612263 NaN \n", - "4 164.461702 163.831915 163.842553 NaN \n", - "\n", - "[5 rows x 64 columns]" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" ->>>>>>> b8749aa4f11a00103a5e119ee655935000939588 -======= - "output_type": "execute_result" ->>>>>>> 0497efaca781546aee993e3381a78d09e356b6dd -======= - "output_type": "execute_result" ->>>>>>> 0497efaca781546aee993e3381a78d09e356b6dd } ], "source": [ "# Use os.join.path so any OS can run this code\n", "file_path = os.path.join(\"..\", \"Resources\", \"population_density_by_country.csv\")\n", + "world_pop = os.path.join(\"..\", \"Resources\", \"world population.csv\")\n", "\n", "# Read the csv into a data frame and display the first few rows\n", - "population_df = pd.read_csv(file_path)\n", + "population_df = pd.read_csv(file_path, skiprows=4)\n", "population_df.head()" ] }, @@ -476,432 +44,13 @@ "metadata": {}, "outputs": [ { -<<<<<<< HEAD -<<<<<<< HEAD -<<<<<<< HEAD "output_type": "execute_result", -======= ->>>>>>> 0497efaca781546aee993e3381a78d09e356b6dd -======= ->>>>>>> 0497efaca781546aee993e3381a78d09e356b6dd "data": { - "text/html": [ - "
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2AngolaAGO8.2779438.5740358.8778789.1880789.5037999.82505910.15269610.487727...16.76855917.40245018.05910118.73445619.42781820.13951320.86771521.61047522.36655323.135064
3AlbaniaALB110.315146112.540328114.683796117.808139119.946788119.225912118.505073117.784197...108.394781107.566204106.843759106.314635106.029015105.854051105.660292105.441752105.135146104.967190
4AndorraAND98.972340103.095745107.306383111.591489115.976596120.576596125.293617129.725532...175.923404178.429787179.708511179.678723178.185106175.376596171.859575168.538298165.980851164.461702
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" - ], - "text/plain": [ - " Country Name Country Code 1986 1987 1988 1989 \\\n", - "0 Aruba ABW 348.022222 343.516667 339.327778 339.066667 \n", - "1 Afghanistan AFG 17.976563 17.774920 17.795553 18.179820 \n", - "2 Angola AGO 8.277943 8.574035 8.877878 9.188078 \n", - "3 Albania ALB 110.315146 112.540328 114.683796 117.808139 \n", - "4 Andorra AND 98.972340 103.095745 107.306383 111.591489 \n", - "\n", - " 1990 1991 1992 1993 ... 2007 \\\n", - "0 345.272222 359.011111 379.083333 402.800000 ... 562.344444 \n", - "1 19.012205 20.370396 22.187829 24.226638 ... 41.510486 \n", - "2 9.503799 9.825059 10.152696 10.487727 ... 16.768559 \n", - "3 119.946788 119.225912 118.505073 117.784197 ... 108.394781 \n", - "4 115.976596 120.576596 125.293617 129.725532 ... 175.923404 \n", - "\n", - " 2008 2009 2010 2011 2012 2013 \\\n", - "0 563.100000 563.638889 564.827778 566.922222 569.777778 573.105556 \n", - "1 42.462819 43.492959 44.704082 46.131503 47.730564 49.428038 \n", - "2 17.402450 18.059101 18.734456 19.427818 20.139513 20.867715 \n", - "3 107.566204 106.843759 106.314635 106.029015 105.854051 105.660292 \n", - "4 178.429787 179.708511 179.678723 178.185106 175.376596 171.859575 \n", - "\n", - " 2014 2015 2016 \n", - "0 576.522222 579.672222 582.622222 \n", - "1 51.114778 52.712071 54.197114 \n", - "2 21.610475 22.366553 23.135064 \n", - "3 105.441752 105.135146 104.967190 \n", - "4 168.538298 165.980851 164.461702 \n", - "\n", - "[5 rows x 33 columns]" - ] + "text/plain": " Country Name Country Code 1986 1987 1988 1989 \\\n0 Aruba ABW 348.022222 343.516667 339.327778 339.066667 \n1 Afghanistan AFG 17.976563 17.774920 17.795553 18.179820 \n2 Angola AGO 8.277943 8.574035 8.877878 9.188078 \n3 Albania ALB 110.315146 112.540328 114.683796 117.808139 \n4 Andorra AND 98.972340 103.095745 107.306383 111.591489 \n\n 1990 1991 1992 1993 ... 2007 \\\n0 345.272222 359.011111 379.083333 402.800000 ... 562.344444 \n1 19.012205 20.370396 22.187829 24.226638 ... 41.510486 \n2 9.503799 9.825059 10.152696 10.487727 ... 16.768559 \n3 119.946788 119.225912 118.505073 117.784197 ... 108.394781 \n4 115.976596 120.576596 125.293617 129.725532 ... 175.923404 \n\n 2008 2009 2010 2011 2012 2013 \\\n0 563.100000 563.638889 564.827778 566.922222 569.777778 573.105556 \n1 42.462819 43.492959 44.704082 46.131503 47.730564 49.428038 \n2 17.402450 18.059101 18.734456 19.427818 20.139513 20.867715 \n3 107.566204 106.843759 106.314635 106.029015 105.854051 105.660292 \n4 178.429787 179.708511 179.678723 178.185106 175.376596 171.859574 \n\n 2014 2015 2016 \n0 576.522222 579.672222 582.622222 \n1 51.114778 52.712072 54.197114 \n2 21.610475 22.366552 23.135064 \n3 105.441752 105.135146 104.967190 \n4 168.538298 165.980851 164.461702 \n\n[5 rows x 33 columns]", + "text/html": "
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Country NameCountry Code19861987198819891990199119921993...2007200820092010201120122013201420152016
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5 rows × 33 columns

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Country NameCountry Code19861987198819891990199119921993...2007200820092010201120122013201420152016
0ArubaABW348.022222343.516667339.327778339.066667345.272222359.011111379.083333402.800000...562.344444563.100000563.638889564.827778566.922222569.777778573.105556576.522222579.672222582.622222
1AfghanistanAFG17.97656317.77492017.79555318.17982019.01220520.37039622.18782924.226638...41.51048642.46281943.49295944.70408246.13150347.73056449.42803851.11477852.71207154.197114
2AngolaAGO8.2779438.5740358.8778789.1880789.5037999.82505910.15269610.487727...16.76855917.40245018.05910118.73445619.42781820.13951320.86771521.61047522.36655323.135064
3AlbaniaALB110.315146112.540328114.683796117.808139119.946788119.225912118.505073117.784197...108.394781107.566204106.843759106.314635106.029015105.854051105.660292105.441752105.135146104.967190
4AndorraAND98.972340103.095745107.306383111.591489115.976596120.576596125.293617129.725532...175.923404178.429787179.708511179.678723178.185106175.376596171.859575168.538298165.980851164.461702
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" - ], - "text/plain": [ - " Country Name Country Code 1986 1987 1988 1989 \\\n", - "0 Aruba ABW 348.022222 343.516667 339.327778 339.066667 \n", - "1 Afghanistan AFG 17.976563 17.774920 17.795553 18.179820 \n", - "2 Angola AGO 8.277943 8.574035 8.877878 9.188078 \n", - "3 Albania ALB 110.315146 112.540328 114.683796 117.808139 \n", - "4 Andorra AND 98.972340 103.095745 107.306383 111.591489 \n", - "\n", - " 1990 1991 1992 1993 ... 2007 \\\n", - "0 345.272222 359.011111 379.083333 402.800000 ... 562.344444 \n", - "1 19.012205 20.370396 22.187829 24.226638 ... 41.510486 \n", - "2 9.503799 9.825059 10.152696 10.487727 ... 16.768559 \n", - "3 119.946788 119.225912 118.505073 117.784197 ... 108.394781 \n", - "4 115.976596 120.576596 125.293617 129.725532 ... 175.923404 \n", - "\n", - " 2008 2009 2010 2011 2012 2013 \\\n", - "0 563.100000 563.638889 564.827778 566.922222 569.777778 573.105556 \n", - "1 42.462819 43.492959 44.704082 46.131503 47.730564 49.428038 \n", - "2 17.402450 18.059101 18.734456 19.427818 20.139513 20.867715 \n", - "3 107.566204 106.843759 106.314635 106.029015 105.854051 105.660292 \n", - "4 178.429787 179.708511 179.678723 178.185106 175.376596 171.859575 \n", - "\n", - " 2014 2015 2016 \n", - "0 576.522222 579.672222 582.622222 \n", - "1 51.114778 52.712071 54.197114 \n", - "2 21.610475 22.366553 23.135064 \n", - "3 105.441752 105.135146 104.967190 \n", - "4 168.538298 165.980851 164.461702 \n", - "\n", - "[5 rows x 33 columns]" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" ->>>>>>> b8749aa4f11a00103a5e119ee655935000939588 -======= - "output_type": "execute_result" ->>>>>>> 0497efaca781546aee993e3381a78d09e356b6dd -======= - "output_type": "execute_result" ->>>>>>> 0497efaca781546aee993e3381a78d09e356b6dd } ], "source": [ @@ -909,7 +58,7 @@ "population_df.drop(population_df.loc[:,\"Indicator Name\":\"1985\"], inplace=True, axis=1)\n", "\n", "# Drop the remaining rows at the back end from 2017 to 2019\n", - "population_df.drop(population_df.loc[:,\"2017\":\"2019\"], inplace=True, axis=1)\n", + "population_df.drop(population_df.loc[:,\"2017\":\"Unnamed: 64\"], inplace=True, axis=1)\n", "\n", "# Display the first few rows\n", "population_df.head()" @@ -919,946 +68,13 @@ "cell_type": "code", "execution_count": 4, "metadata": {}, - "outputs": [ - { -<<<<<<< HEAD -<<<<<<< HEAD -<<<<<<< HEAD - "output_type": "execute_result", -======= ->>>>>>> 0497efaca781546aee993e3381a78d09e356b6dd -======= ->>>>>>> 0497efaca781546aee993e3381a78d09e356b6dd - "data": { - "text/html": [ - "
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Country NameCountry Code19861987198819891990199119921993...2007200820092010201120122013201420152016
15BelgiumBELNaNNaNNaNNaNNaNNaNNaNNaN...350.914795353.697919356.555251359.827807364.539762366.807530368.540522370.180218372.331440374.221334
67EritreaERI20.44350521.06358421.63965322.09050522.36290122.43918822.35243622.164614...29.66867330.32454530.89029731.39044631.821505NaNNaNNaNNaNNaN
77Micronesia, Fed. Sts.FSMNaNNaNNaNNaNNaN141.100000144.841429148.450000...149.205714147.918571147.107143147.015714147.785714149.294286151.322857153.494286155.564286157.450000
108Not classifiedINXNaNNaNNaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
125KuwaitKWT102.823232108.805219114.189506117.439787117.583838113.989675NaNNaN...140.517340149.046521158.307800167.894725177.781145187.926655197.888664207.123513215.240797222.046858
142LuxembourgLUXNaNNaNNaNNaNNaNNaNNaNNaN...197.527984201.090535204.848971208.622634213.311523218.496296223.604938228.937860234.404938239.511934
153Marshall IslandsMHLNaNNaNNaNNaNNaN268.911111273.583333276.838889...311.394444312.077778312.500000313.144444314.061111315.094444316.322222317.661111319.105556320.750000
162Northern Mariana IslandsMNPNaNNaNNaNNaNNaN101.447826101.03478399.473913...120.041304118.750000117.810870117.328261117.417391118.067391119.095652120.228261121.260870122.147826
186PalauPLWNaNNaNNaNNaNNaN33.56739134.46956535.413043...41.64782640.66087039.75000039.03260938.57608738.34782638.27391338.31739138.40217438.532609
194West Bank and GazaPSENaNNaNNaNNaN328.612625343.661960359.400498375.859801...580.481063596.673920612.807143628.930399645.014286661.129236677.194020693.255482709.317608725.429900
204SudanSDNNaNNaNNaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
212SerbiaSRBNaNNaNNaNNaN86.73679486.84697087.42767088.032323...84.39948584.04095683.70463183.36880982.71322982.31279481.91324081.52956881.12717880.703430
214South SudanSSDNaNNaNNaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
223Sint Maarten (Dutch part)SXMNaNNaNNaNNaNNaNNaNNaNNaN...994.441177998.9411771007.0000001001.647059983.3823531018.8235291076.6764711108.3823531141.9117651175.558824
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14 rows × 33 columns

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" - ], - "text/plain": [ - " Country Name Country Code 1986 1987 \\\n", - "15 Belgium BEL NaN NaN \n", - "67 Eritrea ERI 20.443505 21.063584 \n", - "77 Micronesia, Fed. Sts. FSM NaN NaN \n", - "108 Not classified INX NaN NaN \n", - "125 Kuwait KWT 102.823232 108.805219 \n", - "142 Luxembourg LUX NaN NaN \n", - "153 Marshall Islands MHL NaN NaN \n", - "162 Northern Mariana Islands MNP NaN NaN \n", - "186 Palau PLW NaN NaN \n", - "194 West Bank and Gaza PSE NaN NaN \n", - "204 Sudan SDN NaN NaN \n", - "212 Serbia SRB NaN NaN \n", - "214 South Sudan SSD NaN NaN \n", - "223 Sint Maarten (Dutch part) SXM NaN NaN \n", - "\n", - " 1988 1989 1990 1991 1992 1993 \\\n", - "15 NaN NaN NaN NaN NaN NaN \n", - "67 21.639653 22.090505 22.362901 22.439188 22.352436 22.164614 \n", - "77 NaN NaN NaN 141.100000 144.841429 148.450000 \n", - "108 NaN NaN NaN NaN NaN NaN \n", - "125 114.189506 117.439787 117.583838 113.989675 NaN NaN \n", - "142 NaN NaN NaN NaN NaN NaN \n", - "153 NaN NaN NaN 268.911111 273.583333 276.838889 \n", - "162 NaN NaN NaN 101.447826 101.034783 99.473913 \n", - "186 NaN NaN NaN 33.567391 34.469565 35.413043 \n", - "194 NaN NaN 328.612625 343.661960 359.400498 375.859801 \n", - "204 NaN NaN NaN NaN NaN NaN \n", - "212 NaN NaN 86.736794 86.846970 87.427670 88.032323 \n", - "214 NaN NaN NaN NaN NaN NaN \n", - "223 NaN NaN NaN NaN NaN NaN \n", - "\n", - " ... 2007 2008 2009 2010 2011 \\\n", - "15 ... 350.914795 353.697919 356.555251 359.827807 364.539762 \n", - "67 ... 29.668673 30.324545 30.890297 31.390446 31.821505 \n", - "77 ... 149.205714 147.918571 147.107143 147.015714 147.785714 \n", - "108 ... NaN NaN NaN NaN NaN \n", - "125 ... 140.517340 149.046521 158.307800 167.894725 177.781145 \n", - "142 ... 197.527984 201.090535 204.848971 208.622634 213.311523 \n", - "153 ... 311.394444 312.077778 312.500000 313.144444 314.061111 \n", - "162 ... 120.041304 118.750000 117.810870 117.328261 117.417391 \n", - "186 ... 41.647826 40.660870 39.750000 39.032609 38.576087 \n", - "194 ... 580.481063 596.673920 612.807143 628.930399 645.014286 \n", - "204 ... NaN NaN NaN NaN NaN \n", - "212 ... 84.399485 84.040956 83.704631 83.368809 82.713229 \n", - "214 ... NaN NaN NaN NaN NaN \n", - "223 ... 994.441177 998.941177 1007.000000 1001.647059 983.382353 \n", - "\n", - " 2012 2013 2014 2015 2016 \n", - "15 366.807530 368.540522 370.180218 372.331440 374.221334 \n", - "67 NaN NaN NaN NaN NaN \n", - "77 149.294286 151.322857 153.494286 155.564286 157.450000 \n", - "108 NaN NaN NaN NaN NaN \n", - "125 187.926655 197.888664 207.123513 215.240797 222.046858 \n", - "142 218.496296 223.604938 228.937860 234.404938 239.511934 \n", - "153 315.094444 316.322222 317.661111 319.105556 320.750000 \n", - "162 118.067391 119.095652 120.228261 121.260870 122.147826 \n", - "186 38.347826 38.273913 38.317391 38.402174 38.532609 \n", - "194 661.129236 677.194020 693.255482 709.317608 725.429900 \n", - "204 NaN NaN NaN NaN NaN \n", - "212 82.312794 81.913240 81.529568 81.127178 80.703430 \n", - "214 NaN NaN NaN NaN NaN \n", - "223 1018.823529 1076.676471 1108.382353 1141.911765 1175.558824 \n", - "\n", - "[14 rows x 33 columns]" - ] - }, - "execution_count": 4, - "metadata": {}, -<<<<<<< HEAD -<<<<<<< HEAD - "execution_count": 4 -======= - "data": { - "text/html": [ - "
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Country NameCountry Code19861987198819891990199119921993...2007200820092010201120122013201420152016
15BelgiumBELNaNNaNNaNNaNNaNNaNNaNNaN...350.914795353.697919356.555251359.827807364.539762366.807530368.540522370.180218372.331440374.221334
67EritreaERI20.44350521.06358421.63965322.09050522.36290122.43918822.35243622.164614...29.66867330.32454530.89029731.39044631.821505NaNNaNNaNNaNNaN
77Micronesia, Fed. Sts.FSMNaNNaNNaNNaNNaN141.100000144.841429148.450000...149.205714147.918571147.107143147.015714147.785714149.294286151.322857153.494286155.564286157.450000
108Not classifiedINXNaNNaNNaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
125KuwaitKWT102.823232108.805219114.189506117.439787117.583838113.989675NaNNaN...140.517340149.046521158.307800167.894725177.781145187.926655197.888664207.123513215.240797222.046858
142LuxembourgLUXNaNNaNNaNNaNNaNNaNNaNNaN...197.527984201.090535204.848971208.622634213.311523218.496296223.604938228.937860234.404938239.511934
153Marshall IslandsMHLNaNNaNNaNNaNNaN268.911111273.583333276.838889...311.394444312.077778312.500000313.144444314.061111315.094444316.322222317.661111319.105556320.750000
162Northern Mariana IslandsMNPNaNNaNNaNNaNNaN101.447826101.03478399.473913...120.041304118.750000117.810870117.328261117.417391118.067391119.095652120.228261121.260870122.147826
186PalauPLWNaNNaNNaNNaNNaN33.56739134.46956535.413043...41.64782640.66087039.75000039.03260938.57608738.34782638.27391338.31739138.40217438.532609
194West Bank and GazaPSENaNNaNNaNNaN328.612625343.661960359.400498375.859801...580.481063596.673920612.807143628.930399645.014286661.129236677.194020693.255482709.317608725.429900
204SudanSDNNaNNaNNaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
212SerbiaSRBNaNNaNNaNNaN86.73679486.84697087.42767088.032323...84.39948584.04095683.70463183.36880982.71322982.31279481.91324081.52956881.12717880.703430
214South SudanSSDNaNNaNNaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
223Sint Maarten (Dutch part)SXMNaNNaNNaNNaNNaNNaNNaNNaN...994.441177998.9411771007.0000001001.647059983.3823531018.8235291076.6764711108.3823531141.9117651175.558824
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14 rows × 33 columns

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Country NameCountry Code19861987198819891990199119921993...2007200820092010201120122013201420152016
0ArubaABW348.022222343.516667339.327778339.066667345.272222359.011111379.083333402.800000...562.344444563.100000563.638889564.827778566.922222569.777778573.105556576.522222579.672222582.622222
1AfghanistanAFG17.97656317.77492017.79555318.17982019.01220520.37039622.18782924.226638...41.51048642.46281943.49295944.70408246.13150347.73056449.42803851.11477852.71207154.197114
2AngolaAGO8.2779438.5740358.8778789.1880789.5037999.82505910.15269610.487727...16.76855917.40245018.05910118.73445619.42781820.13951320.86771521.61047522.36655323.135064
3AlbaniaALB110.315146112.540328114.683796117.808139119.946788119.225912118.505073117.784197...108.394781107.566204106.843759106.314635106.029015105.854051105.660292105.441752105.135146104.967190
4AndorraAND98.972340103.095745107.306383111.591489115.976596120.576596125.293617129.725532...175.923404178.429787179.708511179.678723178.185106175.376596171.859575168.538298165.980851164.461702
..................................................................
259KosovoXKX157.711031161.017728164.508129167.814825171.029668174.336365177.459355180.490493...159.217783160.501791161.796087163.100946164.508129165.987508166.998898166.507853164.250574163.273353
260Yemen, Rep.YEM18.82892819.55043520.32475721.19282722.17927723.30080124.53577925.823581...40.31008441.46475442.64723443.85638445.09269146.35335047.62980748.91089550.18824751.457867
261South AfricaZAF27.61209228.27302828.93512429.61861930.33617431.09328231.87942132.671731...40.49143841.03526641.61027742.22025142.86917943.55324444.25824644.96450545.65726146.330985
262ZambiaZMB9.6140249.91785910.22111510.51965310.81107511.09331011.36865811.644609...16.81884117.28370017.77685918.30261918.86384419.45832120.07896820.71557721.36074122.012009
263ZimbabweZWE23.78221324.62764125.45980426.24751726.96761327.61017228.17759328.674592...31.68132932.00090232.38197832.82337633.33156533.90236834.51042035.12131635.71055736.268295
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YEM 18.828928 19.550435 20.324757 \n", - "261 South Africa ZAF 27.612092 28.273028 28.935124 \n", - "262 Zambia ZMB 9.614024 9.917859 10.221115 \n", - "263 Zimbabwe ZWE 23.782213 24.627641 25.459804 \n", - "\n", - " 1989 1990 1991 1992 1993 ... \\\n", - "0 339.066667 345.272222 359.011111 379.083333 402.800000 ... \n", - "1 18.179820 19.012205 20.370396 22.187829 24.226638 ... \n", - "2 9.188078 9.503799 9.825059 10.152696 10.487727 ... \n", - "3 117.808139 119.946788 119.225912 118.505073 117.784197 ... \n", - "4 111.591489 115.976596 120.576596 125.293617 129.725532 ... \n", - ".. ... ... ... ... ... ... \n", - "259 167.814825 171.029668 174.336365 177.459355 180.490493 ... \n", - "260 21.192827 22.179277 23.300801 24.535779 25.823581 ... \n", - "261 29.618619 30.336174 31.093282 31.879421 32.671731 ... \n", - "262 10.519653 10.811075 11.093310 11.368658 11.644609 ... \n", - "263 26.247517 26.967613 27.610172 28.177593 28.674592 ... \n", - "\n", - " 2007 2008 2009 2010 2011 2012 \\\n", - "0 562.344444 563.100000 563.638889 564.827778 566.922222 569.777778 \n", - "1 41.510486 42.462819 43.492959 44.704082 46.131503 47.730564 \n", - "2 16.768559 17.402450 18.059101 18.734456 19.427818 20.139513 \n", - "3 108.394781 107.566204 106.843759 106.314635 106.029015 105.854051 \n", - "4 175.923404 178.429787 179.708511 179.678723 178.185106 175.376596 \n", - ".. ... ... ... ... ... ... \n", - "259 159.217783 160.501791 161.796087 163.100946 164.508129 165.987508 \n", - "260 40.310084 41.464754 42.647234 43.856384 45.092691 46.353350 \n", - "261 40.491438 41.035266 41.610277 42.220251 42.869179 43.553244 \n", - "262 16.818841 17.283700 17.776859 18.302619 18.863844 19.458321 \n", - "263 31.681329 32.000902 32.381978 32.823376 33.331565 33.902368 \n", - "\n", - " 2013 2014 2015 2016 \n", - "0 573.105556 576.522222 579.672222 582.622222 \n", - "1 49.428038 51.114778 52.712071 54.197114 \n", - "2 20.867715 21.610475 22.366553 23.135064 \n", - "3 105.660292 105.441752 105.135146 104.967190 \n", - "4 171.859575 168.538298 165.980851 164.461702 \n", - ".. ... ... ... ... \n", - "259 166.998898 166.507853 164.250574 163.273353 \n", - "260 47.629807 48.910895 50.188247 51.457867 \n", - "261 44.258246 44.964505 45.657261 46.330985 \n", - "262 20.078968 20.715577 21.360741 22.012009 \n", - "263 34.510420 35.121316 35.710557 36.268295 \n", - "\n", - "[250 rows x 33 columns]" - ] + "text/plain": " Country Name Country Code 1986 1987 1988 \\\n0 Aruba ABW 348.022222 343.516667 339.327778 \n1 Afghanistan AFG 17.976563 17.774920 17.795553 \n2 Angola AGO 8.277943 8.574035 8.877878 \n3 Albania ALB 110.315146 112.540328 114.683796 \n4 Andorra AND 98.972340 103.095745 107.306383 \n.. ... ... ... ... ... \n259 Kosovo XKX 157.711032 161.017728 164.508129 \n260 Yemen, Rep. YEM 18.828928 19.550435 20.324757 \n261 South Africa ZAF 27.612092 28.273028 28.935124 \n262 Zambia ZMB 9.614024 9.917859 10.221115 \n263 Zimbabwe ZWE 23.782213 24.627641 25.459804 \n\n 1989 1990 1991 1992 1993 ... \\\n0 339.066667 345.272222 359.011111 379.083333 402.800000 ... \n1 18.179820 19.012205 20.370396 22.187829 24.226638 ... \n2 9.188078 9.503799 9.825059 10.152696 10.487727 ... \n3 117.808139 119.946788 119.225912 118.505073 117.784197 ... \n4 111.591489 115.976596 120.576596 125.293617 129.725532 ... \n.. ... ... ... ... ... ... \n259 167.814825 171.029668 174.336364 177.459355 180.490493 ... \n260 21.192827 22.179277 23.300801 24.535779 25.823581 ... \n261 29.618619 30.336174 31.093282 31.879421 32.671731 ... \n262 10.519653 10.811075 11.093310 11.368658 11.644609 ... \n263 26.247517 26.967613 27.610172 28.177593 28.674592 ... \n\n 2007 2008 2009 2010 2011 2012 \\\n0 562.344444 563.100000 563.638889 564.827778 566.922222 569.777778 \n1 41.510486 42.462819 43.492959 44.704082 46.131503 47.730564 \n2 16.768559 17.402450 18.059101 18.734456 19.427818 20.139513 \n3 108.394781 107.566204 106.843759 106.314635 106.029015 105.854051 \n4 175.923404 178.429787 179.708511 179.678723 178.185106 175.376596 \n.. ... ... ... ... ... ... \n259 159.217783 160.501791 161.796087 163.100946 164.508129 165.987508 \n260 40.310084 41.464754 42.647234 43.856384 45.092691 46.353350 \n261 40.491438 41.035266 41.610277 42.220251 42.869179 43.553244 \n262 16.818841 17.283700 17.776859 18.302619 18.863844 19.458321 \n263 31.681329 32.000902 32.381978 32.823376 33.331565 33.902368 \n\n 2013 2014 2015 2016 \n0 573.105556 576.522222 579.672222 582.622222 \n1 49.428038 51.114778 52.712072 54.197114 \n2 20.867715 21.610475 22.366552 23.135064 \n3 105.660292 105.441752 105.135146 104.967190 \n4 171.859574 168.538298 165.980851 164.461702 \n.. ... ... ... ... \n259 166.998898 166.507853 164.250574 163.273354 \n260 47.629807 48.910895 50.188247 51.457867 \n261 44.258246 44.964505 45.657261 46.330985 \n262 20.078968 20.715577 21.360741 22.012009 \n263 34.510420 35.121316 35.710557 36.268295 \n\n[250 rows x 33 columns]", + "text/html": "
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Country NameCountry Code19861987198819891990199119921993...2007200820092010201120122013201420152016
0ArubaABW348.022222343.516667339.327778339.066667345.272222359.011111379.083333402.800000...562.344444563.100000563.638889564.827778566.922222569.777778573.105556576.522222579.672222582.622222
1AfghanistanAFG17.97656317.77492017.79555318.17982019.01220520.37039622.18782924.226638...41.51048642.46281943.49295944.70408246.13150347.73056449.42803851.11477852.71207254.197114
2AngolaAGO8.2779438.5740358.8778789.1880789.5037999.82505910.15269610.487727...16.76855917.40245018.05910118.73445619.42781820.13951320.86771521.61047522.36655223.135064
3AlbaniaALB110.315146112.540328114.683796117.808139119.946788119.225912118.505073117.784197...108.394781107.566204106.843759106.314635106.029015105.854051105.660292105.441752105.135146104.967190
4AndorraAND98.972340103.095745107.306383111.591489115.976596120.576596125.293617129.725532...175.923404178.429787179.708511179.678723178.185106175.376596171.859574168.538298165.980851164.461702
..................................................................
259KosovoXKX157.711032161.017728164.508129167.814825171.029668174.336364177.459355180.490493...159.217783160.501791161.796087163.100946164.508129165.987508166.998898166.507853164.250574163.273354
260Yemen, Rep.YEM18.82892819.55043520.32475721.19282722.17927723.30080124.53577925.823581...40.31008441.46475442.64723443.85638445.09269146.35335047.62980748.91089550.18824751.457867
261South AfricaZAF27.61209228.27302828.93512429.61861930.33617431.09328231.87942132.671731...40.49143841.03526641.61027742.22025142.86917943.55324444.25824644.96450545.65726146.330985
262ZambiaZMB9.6140249.91785910.22111510.51965310.81107511.09331011.36865811.644609...16.81884117.28370017.77685918.30261918.86384419.45832120.07896820.71557721.36074122.012009
263ZimbabweZWE23.78221324.62764125.45980426.24751726.96761327.61017228.17759328.674592...31.68132932.00090232.38197832.82337633.33156533.90236834.51042035.12131635.71055736.268295
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Country NameCountry Code19861987198819891990199119921993...2007200820092010201120122013201420152016
0ArubaABW348.022222343.516667339.327778339.066667345.272222359.011111379.083333402.800000...562.344444563.100000563.638889564.827778566.922222569.777778573.105556576.522222579.672222582.622222
1AfghanistanAFG17.97656317.77492017.79555318.17982019.01220520.37039622.18782924.226638...41.51048642.46281943.49295944.70408246.13150347.73056449.42803851.11477852.71207154.197114
2AngolaAGO8.2779438.5740358.8778789.1880789.5037999.82505910.15269610.487727...16.76855917.40245018.05910118.73445619.42781820.13951320.86771521.61047522.36655323.135064
3AlbaniaALB110.315146112.540328114.683796117.808139119.946788119.225912118.505073117.784197...108.394781107.566204106.843759106.314635106.029015105.854051105.660292105.441752105.135146104.967190
4AndorraAND98.972340103.095745107.306383111.591489115.976596120.576596125.293617129.725532...175.923404178.429787179.708511179.678723178.185106175.376596171.859575168.538298165.980851164.461702
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259KosovoXKX157.711031161.017728164.508129167.814825171.029668174.336365177.459355180.490493...159.217783160.501791161.796087163.100946164.508129165.987508166.998898166.507853164.250574163.273353
260Yemen, Rep.YEM18.82892819.55043520.32475721.19282722.17927723.30080124.53577925.823581...40.31008441.46475442.64723443.85638445.09269146.35335047.62980748.91089550.18824751.457867
261South AfricaZAF27.61209228.27302828.93512429.61861930.33617431.09328231.87942132.671731...40.49143841.03526641.61027742.22025142.86917943.55324444.25824644.96450545.65726146.330985
262ZambiaZMB9.6140249.91785910.22111510.51965310.81107511.09331011.36865811.644609...16.81884117.28370017.77685918.30261918.86384419.45832120.07896820.71557721.36074122.012009
263ZimbabweZWE23.78221324.62764125.45980426.24751726.96761327.61017228.17759328.674592...31.68132932.00090232.38197832.82337633.33156533.90236834.51042035.12131635.71055736.268295
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YEM 18.828928 19.550435 20.324757 \n", - "261 South Africa ZAF 27.612092 28.273028 28.935124 \n", - "262 Zambia ZMB 9.614024 9.917859 10.221115 \n", - "263 Zimbabwe ZWE 23.782213 24.627641 25.459804 \n", - "\n", - " 1989 1990 1991 1992 1993 ... \\\n", - "0 339.066667 345.272222 359.011111 379.083333 402.800000 ... \n", - "1 18.179820 19.012205 20.370396 22.187829 24.226638 ... \n", - "2 9.188078 9.503799 9.825059 10.152696 10.487727 ... \n", - "3 117.808139 119.946788 119.225912 118.505073 117.784197 ... \n", - "4 111.591489 115.976596 120.576596 125.293617 129.725532 ... \n", - ".. ... ... ... ... ... ... \n", - "259 167.814825 171.029668 174.336365 177.459355 180.490493 ... \n", - "260 21.192827 22.179277 23.300801 24.535779 25.823581 ... \n", - "261 29.618619 30.336174 31.093282 31.879421 32.671731 ... \n", - "262 10.519653 10.811075 11.093310 11.368658 11.644609 ... \n", - "263 26.247517 26.967613 27.610172 28.177593 28.674592 ... \n", - "\n", - " 2007 2008 2009 2010 2011 2012 \\\n", - "0 562.344444 563.100000 563.638889 564.827778 566.922222 569.777778 \n", - "1 41.510486 42.462819 43.492959 44.704082 46.131503 47.730564 \n", - "2 16.768559 17.402450 18.059101 18.734456 19.427818 20.139513 \n", - "3 108.394781 107.566204 106.843759 106.314635 106.029015 105.854051 \n", - "4 175.923404 178.429787 179.708511 179.678723 178.185106 175.376596 \n", - ".. ... ... ... ... ... ... \n", - "259 159.217783 160.501791 161.796087 163.100946 164.508129 165.987508 \n", - "260 40.310084 41.464754 42.647234 43.856384 45.092691 46.353350 \n", - "261 40.491438 41.035266 41.610277 42.220251 42.869179 43.553244 \n", - "262 16.818841 17.283700 17.776859 18.302619 18.863844 19.458321 \n", - "263 31.681329 32.000902 32.381978 32.823376 33.331565 33.902368 \n", - "\n", - " 2013 2014 2015 2016 \n", - "0 573.105556 576.522222 579.672222 582.622222 \n", - "1 49.428038 51.114778 52.712071 54.197114 \n", - "2 20.867715 21.610475 22.366553 23.135064 \n", - "3 105.660292 105.441752 105.135146 104.967190 \n", - "4 171.859575 168.538298 165.980851 164.461702 \n", - ".. ... ... ... ... \n", - "259 166.998898 166.507853 164.250574 163.273353 \n", - "260 47.629807 48.910895 50.188247 51.457867 \n", - "261 44.258246 44.964505 45.657261 46.330985 \n", - "262 20.078968 20.715577 21.360741 22.012009 \n", - "263 34.510420 35.121316 35.710557 36.268295 \n", - "\n", - "[250 rows x 33 columns]" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" ->>>>>>> b8749aa4f11a00103a5e119ee655935000939588 -======= - "output_type": "execute_result" ->>>>>>> 0497efaca781546aee993e3381a78d09e356b6dd -======= - "output_type": "execute_result" ->>>>>>> 0497efaca781546aee993e3381a78d09e356b6dd } ], "source": [ @@ -2641,19 +102,7 @@ "clean_data = population_df\n", "\n", "# Save the clean data to a CSV\n", -<<<<<<< HEAD -<<<<<<< HEAD -<<<<<<< HEAD - "clean_data.to_csv(\"../Resources/Clean Data/population_density_clean.csv\", index=False)\n", -======= - "clean_data.to_csv(\"../Clean Data/population_density_clean.csv\", index=False)\n", ->>>>>>> b8749aa4f11a00103a5e119ee655935000939588 -======= - "clean_data.to_csv(\"../Clean Data/population_density_clean.csv\", index=False)\n", ->>>>>>> 0497efaca781546aee993e3381a78d09e356b6dd -======= - "clean_data.to_csv(\"../Clean Data/population_density_clean.csv\", index=False)\n", ->>>>>>> 0497efaca781546aee993e3381a78d09e356b6dd + "clean_data.to_csv(\"../Cleaned Data/population_density_clean.csv\", index=False)\n", "\n", "# Display the clean data\n", "clean_data" @@ -2661,10 +110,102 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": " Country Name Country Code Indicator Name Indicator Code 1960 \\\n0 Aruba ABW Population, total SP.POP.TOTL 54211.0 \n1 Afghanistan AFG Population, total SP.POP.TOTL 8996973.0 \n2 Angola AGO Population, total SP.POP.TOTL 5454933.0 \n3 Albania ALB Population, total SP.POP.TOTL 1608800.0 \n4 Andorra AND Population, total SP.POP.TOTL 13411.0 \n\n 1961 1962 1963 1964 1965 ... 2011 \\\n0 55438.0 56225.0 56695.0 57032.0 57360.0 ... 102046.0 \n1 9169410.0 9351441.0 9543205.0 9744781.0 9956320.0 ... 30117413.0 \n2 5531472.0 5608539.0 5679458.0 5735044.0 5770570.0 ... 24220661.0 \n3 1659800.0 1711319.0 1762621.0 1814135.0 1864791.0 ... 2905195.0 \n4 14375.0 15370.0 16412.0 17469.0 18549.0 ... 83747.0 \n\n 2012 2013 2014 2015 2016 2017 \\\n0 102560.0 103159.0 103774.0 104341.0 104872.0 105366.0 \n1 31161376.0 32269589.0 33370794.0 34413603.0 35383128.0 36296400.0 \n2 25107931.0 26015780.0 26941779.0 27884381.0 28842484.0 29816748.0 \n3 2900401.0 2895092.0 2889104.0 2880703.0 2876101.0 2873457.0 \n4 82427.0 80774.0 79213.0 78011.0 77297.0 77001.0 \n\n 2018 2019 Unnamed: 64 \n0 105845.0 106314.0 NaN \n1 37172386.0 38041754.0 NaN \n2 30809762.0 31825295.0 NaN \n3 2866376.0 2854191.0 NaN \n4 77006.0 77142.0 NaN \n\n[5 rows x 65 columns]", + "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
Country NameCountry CodeIndicator NameIndicator Code196019611962196319641965...201120122013201420152016201720182019Unnamed: 64
0ArubaABWPopulation, totalSP.POP.TOTL54211.055438.056225.056695.057032.057360.0...102046.0102560.0103159.0103774.0104341.0104872.0105366.0105845.0106314.0NaN
1AfghanistanAFGPopulation, totalSP.POP.TOTL8996973.09169410.09351441.09543205.09744781.09956320.0...30117413.031161376.032269589.033370794.034413603.035383128.036296400.037172386.038041754.0NaN
2AngolaAGOPopulation, totalSP.POP.TOTL5454933.05531472.05608539.05679458.05735044.05770570.0...24220661.025107931.026015780.026941779.027884381.028842484.029816748.030809762.031825295.0NaN
3AlbaniaALBPopulation, totalSP.POP.TOTL1608800.01659800.01711319.01762621.01814135.01864791.0...2905195.02900401.02895092.02889104.02880703.02876101.02873457.02866376.02854191.0NaN
4AndorraANDPopulation, totalSP.POP.TOTL13411.014375.015370.016412.017469.018549.0...83747.082427.080774.079213.078011.077297.077001.077006.077142.0NaN
\n

5 rows × 65 columns

\n
" + }, + "metadata": {}, + "execution_count": 7 + } + ], + "source": [ + "# Read the csv into a data frame and display the first few rows\n", + "world_pop_df = pd.read_csv(world_pop, skiprows=4)\n", + "world_pop_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": " Country Name Country Code 1986 1987 1988 1989 \\\n0 Aruba ABW 62644.0 61833.0 61079.0 61032.0 \n1 Afghanistan AFG 11736179.0 11604534.0 11618005.0 11868877.0 \n2 Angola AGO 10320111.0 10689250.0 11068050.0 11454777.0 \n3 Albania ALB 3022635.0 3083605.0 3142336.0 3227943.0 \n4 Andorra AND 46517.0 48455.0 50434.0 52448.0 \n\n 1990 1991 1992 1993 ... 2007 \\\n0 62149.0 64622.0 68235.0 72504.0 ... 101222.0 \n1 12412308.0 13299017.0 14485546.0 15816603.0 ... 27100536.0 \n2 11848386.0 12248901.0 12657366.0 13075049.0 ... 20905363.0 \n3 3286542.0 3266790.0 3247039.0 3227287.0 ... 2970017.0 \n4 54509.0 56671.0 58888.0 60971.0 ... 82684.0 \n\n 2008 2009 2010 2011 2012 2013 \\\n0 101358.0 101455.0 101669.0 102046.0 102560.0 103159.0 \n1 27722276.0 28394813.0 29185507.0 30117413.0 31161376.0 32269589.0 \n2 21695634.0 22514281.0 23356246.0 24220661.0 25107931.0 26015780.0 \n3 2947314.0 2927519.0 2913021.0 2905195.0 2900401.0 2895092.0 \n4 83862.0 84463.0 84449.0 83747.0 82427.0 80774.0 \n\n 2014 2015 2016 \n0 103774.0 104341.0 104872.0 \n1 33370794.0 34413603.0 35383128.0 \n2 26941779.0 27884381.0 28842484.0 \n3 2889104.0 2880703.0 2876101.0 \n4 79213.0 78011.0 77297.0 \n\n[5 rows x 33 columns]", + "text/html": "
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Country NameCountry Code19861987198819891990199119921993...2007200820092010201120122013201420152016
0ArubaABW62644.061833.061079.061032.062149.064622.068235.072504.0...101222.0101358.0101455.0101669.0102046.0102560.0103159.0103774.0104341.0104872.0
1AfghanistanAFG11736179.011604534.011618005.011868877.012412308.013299017.014485546.015816603.0...27100536.027722276.028394813.029185507.030117413.031161376.032269589.033370794.034413603.035383128.0
2AngolaAGO10320111.010689250.011068050.011454777.011848386.012248901.012657366.013075049.0...20905363.021695634.022514281.023356246.024220661.025107931.026015780.026941779.027884381.028842484.0
3AlbaniaALB3022635.03083605.03142336.03227943.03286542.03266790.03247039.03227287.0...2970017.02947314.02927519.02913021.02905195.02900401.02895092.02889104.02880703.02876101.0
4AndorraAND46517.048455.050434.052448.054509.056671.058888.060971.0...82684.083862.084463.084449.083747.082427.080774.079213.078011.077297.0
\n

5 rows × 33 columns

\n
" + }, + "metadata": {}, + "execution_count": 8 + } + ], + "source": [ + "# We only want data for years 1986 - 2016 so we will remove any columns that aren't necessary \n", + "world_pop_df.drop(world_pop_df.loc[:,\"Indicator Name\":\"1985\"], inplace=True, axis=1)\n", + "\n", + "# Drop the remaining rows at the back end from 2017 to 2019\n", + "world_pop_df.drop(world_pop_df.loc[:,\"2017\":\"Unnamed: 64\"], inplace=True, axis=1)\n", + "\n", + "# Display the first few rows\n", + "world_pop_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": " Country Name Country Code 1986 1987 1988 \\\n67 Eritrea ERI 2064794.0 2127422.0 2185605.0 \n108 Not classified INX NaN NaN NaN \n125 Kuwait KWT 1832310.0 1938909.0 2034857.0 \n194 West Bank and Gaza PSE NaN NaN NaN \n212 Serbia SRB NaN NaN NaN \n\n 1989 1990 1991 1992 1993 ... 2007 \\\n67 2231141.0 2258653.0 2266358.0 2257596.0 2238626.0 ... 2996536.0 \n108 NaN NaN NaN NaN NaN ... NaN \n125 2092777.0 2095344.0 2031296.0 NaN NaN ... 2504019.0 \n194 NaN 1978248.0 2068845.0 2163591.0 2262676.0 ... 3494496.0 \n212 NaN 7586000.0 7595636.0 7646424.0 7699307.0 ... 7381579.0 \n\n 2008 2009 2010 2011 2012 2013 \\\n67 3062779.0 3119920.0 3170435.0 3213972.0 NaN NaN \n108 NaN NaN NaN NaN NaN NaN \n125 2656009.0 2821045.0 2991884.0 3168060.0 3348853.0 3526376.0 \n194 3591977.0 3689099.0 3786161.0 3882986.0 3979998.0 4076708.0 \n212 7350222.0 7320807.0 7291436.0 7234099.0 7199077.0 7164132.0 \n\n 2014 2015 2016 \n67 NaN NaN NaN \n108 NaN NaN NaN \n125 3690941.0 3835591.0 3956875.0 \n194 4173398.0 4270092.0 4367088.0 \n212 7130576.0 7095383.0 7058322.0 \n\n[5 rows x 33 columns]", + "text/html": "
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Country NameCountry Code19861987198819891990199119921993...2007200820092010201120122013201420152016
67EritreaERI2064794.02127422.02185605.02231141.02258653.02266358.02257596.02238626.0...2996536.03062779.03119920.03170435.03213972.0NaNNaNNaNNaNNaN
108Not classifiedINXNaNNaNNaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
125KuwaitKWT1832310.01938909.02034857.02092777.02095344.02031296.0NaNNaN...2504019.02656009.02821045.02991884.03168060.03348853.03526376.03690941.03835591.03956875.0
194West Bank and GazaPSENaNNaNNaNNaN1978248.02068845.02163591.02262676.0...3494496.03591977.03689099.03786161.03882986.03979998.04076708.04173398.04270092.04367088.0
212SerbiaSRBNaNNaNNaNNaN7586000.07595636.07646424.07699307.0...7381579.07350222.07320807.07291436.07234099.07199077.07164132.07130576.07095383.07058322.0
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5 rows × 33 columns

\n
" + }, + "metadata": {}, + "execution_count": 10 + } + ], + "source": [ + "# Find all the rows with missing data\n", + "missing_data_world = world_pop_df[world_pop_df.isnull().any(axis=1)]\n", + "\n", + "# Display the missing data\n", + "missing_data_world.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": " Country Name Country Code 1986 1987 1988 \\\n0 Aruba ABW 62644.0 61833.0 61079.0 \n1 Afghanistan AFG 11736179.0 11604534.0 11618005.0 \n2 Angola AGO 10320111.0 10689250.0 11068050.0 \n3 Albania ALB 3022635.0 3083605.0 3142336.0 \n4 Andorra AND 46517.0 48455.0 50434.0 \n.. ... ... ... ... ... \n259 Kosovo XKX 1717000.0 1753000.0 1791000.0 \n260 Yemen, Rep. YEM 9941109.0 10322043.0 10730862.0 \n261 South Africa ZAF 33495953.0 34297727.0 35100909.0 \n262 Zambia ZMB 7146969.0 7372837.0 7598275.0 \n263 Zimbabwe ZWE 9200149.0 9527203.0 9849125.0 \n\n 1989 1990 1991 1992 1993 ... \\\n0 61032.0 62149.0 64622.0 68235.0 72504.0 ... \n1 11868877.0 12412308.0 13299017.0 14485546.0 15816603.0 ... \n2 11454777.0 11848386.0 12248901.0 12657366.0 13075049.0 ... \n3 3227943.0 3286542.0 3266790.0 3247039.0 3227287.0 ... \n4 52448.0 54509.0 56671.0 58888.0 60971.0 ... \n.. ... ... ... ... ... ... \n259 1827000.0 1862000.0 1898000.0 1932000.0 1965000.0 ... \n260 11189177.0 11709993.0 12302124.0 12954155.0 13634076.0 ... \n261 35930050.0 36800509.0 37718950.0 38672607.0 39633750.0 ... \n262 7820205.0 8036845.0 8246656.0 8451347.0 8656486.0 ... \n263 10153852.0 10432421.0 10680995.0 10900502.0 11092766.0 ... \n\n 2007 2008 2009 2010 2011 2012 \\\n0 101222.0 101358.0 101455.0 101669.0 102046.0 102560.0 \n1 27100536.0 27722276.0 28394813.0 29185507.0 30117413.0 31161376.0 \n2 20905363.0 21695634.0 22514281.0 23356246.0 24220661.0 25107931.0 \n3 2970017.0 2947314.0 2927519.0 2913021.0 2905195.0 2900401.0 \n4 82684.0 83862.0 84463.0 84449.0 83747.0 82427.0 \n.. ... ... ... ... ... ... \n259 1733404.0 1747383.0 1761474.0 1775680.0 1791000.0 1807106.0 \n260 21282515.0 21892146.0 22516460.0 23154855.0 23807588.0 24473178.0 \n261 49119759.0 49779471.0 50477011.0 51216964.0 52004172.0 52834005.0 \n262 12502958.0 12848530.0 13215139.0 13605984.0 14023193.0 14465121.0 \n263 12255922.0 12379549.0 12526968.0 12697723.0 12894316.0 13115131.0 \n\n 2013 2014 2015 2016 \n0 103159.0 103774.0 104341.0 104872.0 \n1 32269589.0 33370794.0 34413603.0 35383128.0 \n2 26015780.0 26941779.0 27884381.0 28842484.0 \n3 2895092.0 2889104.0 2880703.0 2876101.0 \n4 80774.0 79213.0 78011.0 77297.0 \n.. ... ... ... ... \n259 1818117.0 1812771.0 1788196.0 1777557.0 \n260 25147109.0 25823485.0 26497889.0 27168210.0 \n261 53689236.0 54545991.0 55386367.0 56203654.0 \n262 14926504.0 15399753.0 15879361.0 16363507.0 \n263 13350356.0 13586681.0 13814629.0 14030390.0 \n\n[258 rows x 33 columns]", + "text/html": "
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Country NameCountry Code19861987198819891990199119921993...2007200820092010201120122013201420152016
0ArubaABW62644.061833.061079.061032.062149.064622.068235.072504.0...101222.0101358.0101455.0101669.0102046.0102560.0103159.0103774.0104341.0104872.0
1AfghanistanAFG11736179.011604534.011618005.011868877.012412308.013299017.014485546.015816603.0...27100536.027722276.028394813.029185507.030117413.031161376.032269589.033370794.034413603.035383128.0
2AngolaAGO10320111.010689250.011068050.011454777.011848386.012248901.012657366.013075049.0...20905363.021695634.022514281.023356246.024220661.025107931.026015780.026941779.027884381.028842484.0
3AlbaniaALB3022635.03083605.03142336.03227943.03286542.03266790.03247039.03227287.0...2970017.02947314.02927519.02913021.02905195.02900401.02895092.02889104.02880703.02876101.0
4AndorraAND46517.048455.050434.052448.054509.056671.058888.060971.0...82684.083862.084463.084449.083747.082427.080774.079213.078011.077297.0
..................................................................
259KosovoXKX1717000.01753000.01791000.01827000.01862000.01898000.01932000.01965000.0...1733404.01747383.01761474.01775680.01791000.01807106.01818117.01812771.01788196.01777557.0
260Yemen, Rep.YEM9941109.010322043.010730862.011189177.011709993.012302124.012954155.013634076.0...21282515.021892146.022516460.023154855.023807588.024473178.025147109.025823485.026497889.027168210.0
261South AfricaZAF33495953.034297727.035100909.035930050.036800509.037718950.038672607.039633750.0...49119759.049779471.050477011.051216964.052004172.052834005.053689236.054545991.055386367.056203654.0
262ZambiaZMB7146969.07372837.07598275.07820205.08036845.08246656.08451347.08656486.0...12502958.012848530.013215139.013605984.014023193.014465121.014926504.015399753.015879361.016363507.0
263ZimbabweZWE9200149.09527203.09849125.010153852.010432421.010680995.010900502.011092766.0...12255922.012379549.012526968.012697723.012894316.013115131.013350356.013586681.013814629.014030390.0
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" + }, + "metadata": {}, + "execution_count": 11 + } + ], + "source": [ + "# Drop the rows with missing data by the row index\n", + "world_pop_df.drop(index=missing_data_world.index, inplace=True)\n", + "\n", + "# Display the clean data\n", + "clean_data_world = world_pop_df\n", + "\n", + "# Save the clean data to a CSV\n", + "clean_data_world.to_csv(\"../Cleaned Data/world_population_clean.csv\", index=False)\n", + "\n", + "# Display the clean data\n", + "clean_data_world" + ] }, { "cell_type": "code", @@ -2675,26 +216,6 @@ } ], "metadata": { -<<<<<<< HEAD -<<<<<<< HEAD -<<<<<<< HEAD -======= -======= ->>>>>>> 0497efaca781546aee993e3381a78d09e356b6dd -======= ->>>>>>> 0497efaca781546aee993e3381a78d09e356b6dd - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, -<<<<<<< HEAD -<<<<<<< HEAD ->>>>>>> b8749aa4f11a00103a5e119ee655935000939588 -======= ->>>>>>> 0497efaca781546aee993e3381a78d09e356b6dd -======= ->>>>>>> 0497efaca781546aee993e3381a78d09e356b6dd "language_info": { "codemirror_mode": { "name": "ipython", @@ -2705,38 +226,14 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", -<<<<<<< HEAD -<<<<<<< HEAD -<<<<<<< HEAD "version": 3 }, "orig_nbformat": 2, "kernelspec": { - "name": "python_defaultSpec_1594691511792", + "name": "python_defaultSpec_1595092202093", "display_name": "Python 3.6.10 64-bit ('PythonData': conda)" -======= - "version": "3.7.6" ->>>>>>> b8749aa4f11a00103a5e119ee655935000939588 -======= - "version": "3.7.6" ->>>>>>> 0497efaca781546aee993e3381a78d09e356b6dd -======= - "version": "3.7.6" ->>>>>>> 0497efaca781546aee993e3381a78d09e356b6dd } }, "nbformat": 4, "nbformat_minor": 2 -<<<<<<< HEAD -<<<<<<< HEAD -<<<<<<< HEAD -} -======= -} ->>>>>>> b8749aa4f11a00103a5e119ee655935000939588 -======= -} ->>>>>>> 0497efaca781546aee993e3381a78d09e356b6dd -======= -} ->>>>>>> 0497efaca781546aee993e3381a78d09e356b6dd +} \ No newline at end of file diff --git a/Scripts/consumption_and_population_plots.ipynb b/Scripts/consumption_and_population_plots.ipynb index 411f819..03d493d 100644 --- a/Scripts/consumption_and_population_plots.ipynb +++ b/Scripts/consumption_and_population_plots.ipynb @@ -1,4 +1,25 @@ { + "metadata": { + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": 3 + }, + "orig_nbformat": 2, + "kernelspec": { + "name": "python_defaultSpec_1595092329689", + "display_name": "Python 3.6.10 64-bit ('PythonData': conda)" + } + }, + "nbformat": 4, + "nbformat_minor": 2, "cells": [ { "cell_type": "code", @@ -11,7 +32,11 @@ "import pandas as pd\n", "import pandas as pd\n", "import numpy as np\n", - "import os" + "import os\n", + "from scipy.stats import linregress\n", + "import scipy.stats as st\n", + "\n", + "import matplotlib.ticker as ticker" ] }, { @@ -20,217 +45,13 @@ "metadata": {}, "outputs": [ { + "output_type": "execute_result", "data": { - "text/html": [ - "
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total energy consumption from coal (quad Btu)198619871988198919901991199219931994...2007200820092010201120122013201420152016
0World92.6189815495.6440515598.679013197.63128798101.149654290.9877789688.326918288.5040354289.04034491...142.0802631144.317679144.7411719154.1538668163.4665458169.5297013172.9542668172.2478228168.4392041165.8359358
1Afghanistan0.0033334430.0034792810.0028750950.002645920.0021875720.0019583980.0001666720.0001458380.000125004...0.0050626670.0072294050.0104170090.0151046640.030834310.0258341520.0280633890.0316135010.0284384010.03537612
2Albania0.035668540.0372875020.0374879960.0371147290.0323728830.0184218930.005234970.0034656170.002812836...0.0023591470.0028584420.0039230020.0035249440.0033113420.0029688880.002642520.0033396840.0028222550.00219942
3Algeria0.0419705130.0454000390.0454281770.0410146860.0282521830.0314850030.0290955970.0226300990.022967504...0.0153734960.015677040.0038217617.96356E-055.65193E-050.000334950.0011096340.0010792120.0006982460.000697224
4American Samoa000000000...0000000000
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5 rows × 32 columns

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" - ], - "text/plain": [ - " total energy consumption from coal (quad Btu) 1986 1987 \\\n", - "0 World 92.61898154 95.64405155 \n", - "1 Afghanistan 0.003333443 0.003479281 \n", - "2 Albania 0.03566854 0.037287502 \n", - "3 Algeria 0.041970513 0.045400039 \n", - "4 American Samoa 0 0 \n", - "\n", - " 1988 1989 1990 1991 1992 \\\n", - "0 98.6790131 97.63128798 101.1496542 90.98777896 88.3269182 \n", - "1 0.002875095 0.00264592 0.002187572 0.001958398 0.000166672 \n", - "2 0.037487996 0.037114729 0.032372883 0.018421893 0.00523497 \n", - "3 0.045428177 0.041014686 0.028252183 0.031485003 0.029095597 \n", - "4 0 0 0 0 0 \n", - "\n", - " 1993 1994 ... 2007 2008 2009 \\\n", - "0 88.50403542 89.04034491 ... 142.0802631 144.317679 144.7411719 \n", - "1 0.000145838 0.000125004 ... 0.005062667 0.007229405 0.010417009 \n", - "2 0.003465617 0.002812836 ... 0.002359147 0.002858442 0.003923002 \n", - "3 0.022630099 0.022967504 ... 0.015373496 0.01567704 0.003821761 \n", - "4 0 0 ... 0 0 0 \n", - "\n", - " 2010 2011 2012 2013 2014 \\\n", - "0 154.1538668 163.4665458 169.5297013 172.9542668 172.2478228 \n", - "1 0.015104664 0.03083431 0.025834152 0.028063389 0.031613501 \n", - "2 0.003524944 0.003311342 0.002968888 0.00264252 0.003339684 \n", - "3 7.96356E-05 5.65193E-05 0.00033495 0.001109634 0.001079212 \n", - "4 0 0 0 0 0 \n", - "\n", - " 2015 2016 \n", - "0 168.4392041 165.8359358 \n", - "1 0.028438401 0.03537612 \n", - "2 0.002822255 0.00219942 \n", - "3 0.000698246 0.000697224 \n", - "4 0 0 \n", - "\n", - "[5 rows x 32 columns]" - ] + "text/plain": " total energy consumption from coal (quad Btu) 1986 1987 \\\n0 World 92.61898154 95.64405155 \n1 Afghanistan 0.003333443 0.003479281 \n2 Albania 0.03566854 0.037287502 \n3 Algeria 0.041970513 0.045400039 \n4 American Samoa 0 0 \n\n 1988 1989 1990 1991 1992 \\\n0 98.6790131 97.63128798 101.1496542 90.98777896 88.3269182 \n1 0.002875095 0.00264592 0.002187572 0.001958398 0.000166672 \n2 0.037487996 0.037114729 0.032372883 0.018421893 0.00523497 \n3 0.045428177 0.041014686 0.028252183 0.031485003 0.029095597 \n4 0 0 0 0 0 \n\n 1993 1994 ... 2007 2008 2009 \\\n0 88.50403542 89.04034491 ... 142.0802631 144.317679 144.7411719 \n1 0.000145838 0.000125004 ... 0.005062667 0.007229405 0.010417009 \n2 0.003465617 0.002812836 ... 0.002359147 0.002858442 0.003923002 \n3 0.022630099 0.022967504 ... 0.015373496 0.01567704 0.003821761 \n4 0 0 ... 0 0 0 \n\n 2010 2011 2012 2013 2014 \\\n0 154.1538668 163.4665458 169.5297013 172.9542668 172.2478228 \n1 0.015104664 0.03083431 0.025834152 0.028063389 0.031613501 \n2 0.003524944 0.003311342 0.002968888 0.00264252 0.003339684 \n3 7.96356E-05 5.65193E-05 0.00033495 0.001109634 0.001079212 \n4 0 0 0 0 0 \n\n 2015 2016 \n0 168.4392041 165.8359358 \n1 0.028438401 0.03537612 \n2 0.002822255 0.00219942 \n3 0.000698246 0.000697224 \n4 0 0 \n\n[5 rows x 32 columns]", + "text/html": "
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total energy consumption from coal (quad Btu)198619871988198919901991199219931994...2007200820092010201120122013201420152016
0World92.6189815495.6440515598.679013197.63128798101.149654290.9877789688.326918288.5040354289.04034491...142.0802631144.317679144.7411719154.1538668163.4665458169.5297013172.9542668172.2478228168.4392041165.8359358
1Afghanistan0.0033334430.0034792810.0028750950.002645920.0021875720.0019583980.0001666720.0001458380.000125004...0.0050626670.0072294050.0104170090.0151046640.030834310.0258341520.0280633890.0316135010.0284384010.03537612
2Albania0.035668540.0372875020.0374879960.0371147290.0323728830.0184218930.005234970.0034656170.002812836...0.0023591470.0028584420.0039230020.0035249440.0033113420.0029688880.002642520.0033396840.0028222550.00219942
3Algeria0.0419705130.0454000390.0454281770.0410146860.0282521830.0314850030.0290955970.0226300990.022967504...0.0153734960.015677040.0038217617.96356E-055.65193E-050.000334950.0011096340.0010792120.0006982460.000697224
4American Samoa000000000...0000000000
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5 rows × 32 columns

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" }, - "execution_count": 2, "metadata": {}, - "output_type": "execute_result" + "execution_count": 2 } ], "source": [ @@ -239,12 +60,18 @@ "natural_gas_path = os.path.join(\"..\", \"Cleaned Data\", \"natural_gas_consumption.csv\")\n", "nuclear_path = os.path.join(\"..\", \"Cleaned Data\", \"nuclear_consumption.csv\")\n", "petroleum_path = os.path.join(\"..\", \"Cleaned Data\", \"petroleum_consumption.csv\")\n", + "world_pop_path = os.path.join(\"..\", \"Cleaned Data\", \"world_population_clean.csv\")\n", + "total_consumption = os.path.join(\"..\", \"Cleaned Data\", \"total_consumption.csv\")\n", + "pop_density = os.path.join(\"..\", \"Cleaned Data\", \"population_density_clean.csv\")\n", "\n", "# Read the csv into a data frame and display the first few rows of one of the data frames\n", "coal = pd.read_csv(coal_path)\n", "natural_gas = pd.read_csv(natural_gas_path)\n", "nuclear = pd.read_csv(nuclear_path)\n", "petroleum = pd.read_csv(petroleum_path)\n", + "world = pd.read_csv(world_pop_path)\n", + "total = pd.read_csv(total_consumption)\n", + "pop_density_df = pd.read_csv(pop_density)\n", "coal.head()" ] }, @@ -255,7 +82,7 @@ "outputs": [], "source": [ "# Define a function that takes in a data frame and returns the x and y values to plot\n", - "def plot(df):\n", + "def plot(df, country):\n", "\n", " # Grab all the column names\n", " x = df.columns\n", @@ -267,7 +94,7 @@ " years = [x[name] for name in range(1, len(x))]\n", "\n", " # Get the values for the data stored in the World row and create a list to use for plotting\n", - " energy_consumption = df.loc[df[world_consumption] == \"World\",\"1986\":\"2016\"].values.flatten().tolist()\n", + " energy_consumption = df.loc[df[world_consumption] == country,\"1986\":\"2016\"].values.flatten().tolist()\n", "\n", " # Run a loop to round the values in the list\n", " energy_consumption = [round(float(value),2) for value in energy_consumption]\n", @@ -285,10 +112,17 @@ "outputs": [], "source": [ "# Call the function to get the values required to plot\n", - "coal_x, coal_y = plot(coal)\n", - "natural_x, natural_y = plot(natural_gas)\n", - "nuclear_x, nuclear_y = plot(nuclear)\n", - "petroleum_x, petroleum_y = plot(petroleum)" + "coal_x, coal_y = plot(coal, \"World\")\n", + "natural_x, natural_y = plot(natural_gas, \"World\")\n", + "nuclear_x, nuclear_y = plot(nuclear, \"World\")\n", + "petroleum_x, petroleum_y = plot(petroleum, \"World\")\n", + "world_x, world_y = plot(world, \"World\")\n", + "\n", + "# Since the world population file is slight different, remove the first column header\n", + "del world_x[0]\n", + "\n", + "# Create a rounded list of values for world population to see differences on the plot\n", + "world_y = [round(value/1000000000,2) for value in world_y]" ] }, { @@ -299,29 +133,37 @@ }, "outputs": [ { + "output_type": "display_data", "data": { - "image/png": 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}, "metadata": { "needs_background": "light" - }, - "output_type": "display_data" + } } ], "source": [ - "# Make adjustments for plot size, plot each line, add legend, add title and axis labels\n", - "plt.figure(figsize=(20,10))\n", - "plt.plot(coal_x, coal_y);\n", - "plt.plot(natural_x, natural_y);\n", - "plt.plot(nuclear_x, nuclear_y);\n", - "plt.plot(petroleum_x, petroleum_y);\n", - "plt.legend(labels=[\"Coal\", \"Natural Gas\", \"Nuclear\", \"Petroleum\"], loc=2);\n", + "# Make adjustments for plot size, plot each line, add legend, add title and axis labels, etc\n", + "fig, ax1 = plt.subplots(figsize=(20,10))\n", + "ax1.plot(coal_x, coal_y)\n", + "ax1.plot(natural_x, natural_y)\n", + "ax1.plot(nuclear_x, nuclear_y)\n", + "ax1.plot(petroleum_x, petroleum_y)\n", + "ax1.set_ylabel(\"Total Energy Consumption (quad Btu)\")\n", + "ax1.set_xlabel(\"Time (years)\")\n", + "ax1.legend(labels=[\"Coal\", \"Natural Gas\", \"Nuclear\", \"Petroleum\"], loc=2)\n", + "\n", + "# Create a second plot over the first one for world population\n", + "ax2 = ax1.twinx()\n", + "ax2.plot(world_x, world_y, color=\"magenta\")\n", + "ax2.set_ylabel(\"World Population (billions)\")\n", + "ax2.legend(labels=[\"World Population\"], loc=4)\n", "plt.title(\"World Energy Consumption by Energy Type from 1986 to 2016\");\n", - "plt.ylabel(\"Total Energy Consumption (quad Btu)\");\n", - "plt.xlabel(\"Years\");" + "\n", + "# Save the image as a png\n", + "plt.savefig(\"../Images/World Energy Consumption by Energy Type.png\")" ] }, { @@ -330,17 +172,571 @@ "metadata": {}, "outputs": [ { + "output_type": "display_data", "data": { - "text/plain": [ - "
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+ }, + "metadata": { + "needs_background": "light" + } + } + ], + "source": [ + "# Plot all of the data as a line plot showing years on the x-axis and change in population density on the y-axis\n", + "plt.figure(figsize=(20,10))\n", + "for country in pop_density_df[\"Country Name\"]:\n", + " pop_x, pop_y = plot(pop_density_df, country)\n", + " del pop_x[0]\n", + " plt.plot(pop_x, pop_y)\n", + "plt.yticks(np.arange(0, 25000, 2500))\n", + "#plt.grid(axis=\"x\")\n", + "plt.ylabel(\"Population density (people per sq. km of land area)\")\n", + "plt.xlabel(\"Time (years)\")\n", + "plt.title(\"Population Density over Time\");" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": " Country Name Country Code 1986 1987 1988 \\\n0 Macau MAC 14779.550000 15409.000000 16038.650000 \n1 Monaco MCO 14520.500000 14584.000000 14614.500000 \n2 Hong Kong HKG 5580.404040 5636.868687 5684.444444 \n3 Singapore SGP 4079.661194 4141.476119 4247.922388 \n4 Gibraltar GIB 2909.400000 2911.500000 2915.900000 \n5 Greenland GRL 0.156570 0.158326 0.160375 \n6 Mongolia MNG 1.272117 1.308829 1.345114 \n7 Namibia NAM 1.506065 1.562994 1.623409 \n8 Mauritania MRT 1.775177 1.823773 1.872934 \n9 Botswana BWA 1.960269 2.037842 2.117529 \n\n 1989 1990 1991 1992 1993 ... \\\n0 16639.150000 17190.400000 17681.300000 18115.550000 18509.950000 ... \n1 14652.500000 14719.000000 14811.000000 14932.500000 15073.000000 ... \n2 5743.636364 5762.121212 5810.101010 5859.090909 5960.606061 ... \n3 4374.479104 4547.958209 4679.228358 4821.937313 4945.479104 ... \n4 2918.700000 2914.700000 2902.200000 2884.000000 2867.500000 ... \n5 0.161838 0.162716 0.162423 0.161838 0.161545 ... \n6 1.378132 1.405897 1.427635 1.444099 1.456774 ... \n7 1.683502 1.740462 1.793278 1.842556 1.888886 ... \n8 1.922867 1.973752 2.025722 2.078825 2.133047 ... \n9 2.195903 2.270492 2.340307 2.406003 2.468742 ... \n\n 2007 2008 2009 2010 2011 \\\n0 17277.773521 17645.170772 17844.067508 18121.851677 18422.474858 \n1 17262.500000 17436.000000 17613.000000 17806.000000 18012.000000 \n2 6586.952381 6626.476190 6640.761905 6689.714286 6734.857143 \n3 6602.300719 6913.422857 7125.104286 7231.812280 7363.193022 \n4 3351.700000 3355.900000 3356.500000 3358.500000 3361.200000 \n5 0.137788 0.137235 0.137223 0.138641 0.138604 \n6 1.669598 1.694108 1.721077 1.750751 1.783235 \n7 2.437190 2.481986 2.527717 2.573667 2.619613 \n8 3.107128 3.198058 3.292334 3.390118 3.491460 \n9 3.309264 3.380162 3.446964 3.506264 3.556194 \n\n 2012 2013 2014 2015 2016 \n0 18864.180542 19055.181698 19478.812065 19805.427880 20159.079200 \n1 18230.000000 18450.500000 18661.000000 18859.000000 19035.000000 \n2 6809.619048 6837.047619 6885.238095 6944.095238 6987.238095 \n3 7524.698463 7636.721687 7714.702232 7806.772752 7908.720563 \n4 3364.600000 3369.200000 3372.500000 3373.600000 3373.700000 \n5 0.138409 0.137612 0.137154 0.136713 0.136889 \n6 1.818210 1.854960 1.892497 1.930044 1.967326 \n7 2.665870 2.712908 2.761396 2.811772 2.864168 \n8 3.596152 3.703788 3.813812 3.925780 4.039521 \n9 3.598805 3.639363 3.685378 3.742022 3.811240 \n\n[10 rows x 33 columns]", + "text/html": "
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Country NameCountry Code19861987198819891990199119921993...2007200820092010201120122013201420152016
0MacauMAC14779.55000015409.00000016038.65000016639.15000017190.40000017681.30000018115.55000018509.950000...17277.77352117645.17077217844.06750818121.85167718422.47485818864.18054219055.18169819478.81206519805.42788020159.079200
1MonacoMCO14520.50000014584.00000014614.50000014652.50000014719.00000014811.00000014932.50000015073.000000...17262.50000017436.00000017613.00000017806.00000018012.00000018230.00000018450.50000018661.00000018859.00000019035.000000
2Hong KongHKG5580.4040405636.8686875684.4444445743.6363645762.1212125810.1010105859.0909095960.606061...6586.9523816626.4761906640.7619056689.7142866734.8571436809.6190486837.0476196885.2380956944.0952386987.238095
3SingaporeSGP4079.6611944141.4761194247.9223884374.4791044547.9582094679.2283584821.9373134945.479104...6602.3007196913.4228577125.1042867231.8122807363.1930227524.6984637636.7216877714.7022327806.7727527908.720563
4GibraltarGIB2909.4000002911.5000002915.9000002918.7000002914.7000002902.2000002884.0000002867.500000...3351.7000003355.9000003356.5000003358.5000003361.2000003364.6000003369.2000003372.5000003373.6000003373.700000
5GreenlandGRL0.1565700.1583260.1603750.1618380.1627160.1624230.1618380.161545...0.1377880.1372350.1372230.1386410.1386040.1384090.1376120.1371540.1367130.136889
6MongoliaMNG1.2721171.3088291.3451141.3781321.4058971.4276351.4440991.456774...1.6695981.6941081.7210771.7507511.7832351.8182101.8549601.8924971.9300441.967326
7NamibiaNAM1.5060651.5629941.6234091.6835021.7404621.7932781.8425561.888886...2.4371902.4819862.5277172.5736672.6196132.6658702.7129082.7613962.8117722.864168
8MauritaniaMRT1.7751771.8237731.8729341.9228671.9737522.0257222.0788252.133047...3.1071283.1980583.2923343.3901183.4914603.5961523.7037883.8138123.9257804.039521
9BotswanaBWA1.9602692.0378422.1175292.1959032.2704922.3403072.4060032.468742...3.3092643.3801623.4469643.5062643.5561943.5988053.6393633.6853783.7420223.811240
\n

10 rows × 33 columns

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" }, "metadata": {}, - "output_type": "display_data" + "execution_count": 7 + } + ], + "source": [ + "# Since it appears as though most of the countries don't really change too much, let's look at the top 5 countries with the largest change\n", + "\n", + "# Get a list of the column headers\n", + "x = pop_density_df.columns\n", + "\n", + "# Create a new dataframe and set the columns\n", + "top_5 = pd.DataFrame(columns=x)\n", + "\n", + "# Create a list of starting values from the first year in the data\n", + "starting_year = pop_density_df[\"1986\"].tolist()\n", + "\n", + "# Find the top 5 highest starting populations and store them in a data frame\n", + "for x in range(0,5):\n", + " max_value = max(starting_year)\n", + " top_5 = top_5.append(pop_density_df.loc[pop_density_df[\"1986\"] == max_value])\n", + " starting_year.remove(max_value)\n", + "\n", + "# Find the top 5 lowest starting populations and store them in a data frame\n", + "for x in range(0,5):\n", + " min_value = min(starting_year)\n", + " top_5 = top_5.append(pop_density_df.loc[pop_density_df[\"1986\"] == min_value])\n", + " starting_year.remove(min_value)\n", + "\n", + "# Display the data frame\n", + "top_5_rename = top_5.set_index(\"Country Name\")\n", + "top_5_rename = top_5_rename.rename({\"Macao SAR, China\": \"Macau\", \"Hong Kong SAR, China\": \"Hong Kong\"}, axis=\"index\")\n", + "top_5_rename = top_5_rename.reset_index()\n", + "top_5_rename" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": "
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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ], + "source": [ + "# Find total consumption and population density data\n", + "total_x, total_y = plot(total, \"Hong Kong\")\n", + "top_5_x, top_5_y = plot(top_5_rename, \"Hong Kong\")\n", + "\n", + "# Set labels, divide population density by 10,000 for better visual\n", + "labels = total_x\n", + "top_5_y = [round(value/10000,2) for value in top_5_y]\n", + "\n", + "# Set label locations and width of the bars\n", + "x = np.arange(len(labels))\n", + "width = 0.35\n", + "\n", + "# Set the plot size and create the plotting area\n", + "fig, ax = plt.subplots(figsize=(20,10))\n", + "\n", + "# Create the individual bars\n", + "rects1 = ax.bar(x - width/2, total_y, width, label='Total Energy Consumption by Hong Kong (quad Btu)')\n", + "rects2 = ax.bar(x + width/2, top_5_y, width, label=\"Population density (10,000 people per sq. km of land area)\")\n", + "\n", + "# Add some text for labels, title and custom x-axis tick labels, etc.\n", + "ax.set_xlabel(\"Time (years)\")\n", + "ax.set_title('Hong Kong Total Energy Consumption vs Population Density')\n", + "ax.set_xticks(x)\n", + "ax.set_xticklabels(labels)\n", + "ax.legend();" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": "
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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ], + "source": [ + "# Find total consumption and population density data\n", + "total_x, total_y = plot(total, \"Singapore\")\n", + "top_5_x, top_5_y = plot(top_5_rename, \"Singapore\")\n", + "\n", + "# Set labels, divide population density by 10,000 for better visual\n", + "labels = total_x\n", + "top_5_y = [round(value/10000,2) for value in top_5_y]\n", + "\n", + "# Set label locations and width of the bars\n", + "x = np.arange(len(labels))\n", + "width = 0.35\n", + "\n", + "# Set the plot size and create the plotting area\n", + "fig, ax = plt.subplots(figsize=(20,10))\n", + "\n", + "# Create the individual bars\n", + "rects1 = ax.bar(x - width/2, total_y, width, label='Total Energy Consumption by Singapore (quad Btu)')\n", + "rects2 = ax.bar(x + width/2, top_5_y, width, label=\"Population density (10,000 people per sq. km of land area)\")\n", + "\n", + "# Add some text for labels, title and custom x-axis tick labels, etc.\n", + "ax.set_xlabel(\"Time (years)\")\n", + "ax.set_title('Singapore Total Energy Consumption vs Population Density')\n", + "ax.set_xticks(x)\n", + "ax.set_xticklabels(labels)\n", + "ax.legend();" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": "
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+ }, + "metadata": { + "needs_background": "light" + } + } + ], + "source": [ + "# Find total consumption and population density data\n", + "total_x, total_y = plot(total, \"Gibraltar\")\n", + "top_5_x, top_5_y = plot(top_5_rename, \"Gibraltar\")\n", + "\n", + "# Set labels, divide population density by 10,000 for better visual\n", + "labels = total_x\n", + "top_5_y = [round(value/10000,2) for value in top_5_y]\n", + "\n", + "# Set label locations and width of the bars\n", + "x = np.arange(len(labels))\n", + "width = 0.35\n", + "\n", + "# Set the plot size and create the plotting area\n", + "fig, ax = plt.subplots(figsize=(20,10))\n", + "\n", + "# Create the individual bars\n", + "rects1 = ax.bar(x - width/2, total_y, width, label='Total Energy Consumption by Gibraltar (quad Btu)')\n", + "rects2 = ax.bar(x + width/2, top_5_y, width, label=\"Population density (10,000 people per sq. km of land area)\")\n", + "\n", + "# Add some text for labels, title and custom x-axis tick labels, etc.\n", + "ax.set_xlabel(\"Time (years)\")\n", + "ax.set_title('Gibraltar Total Energy Consumption vs Population Density')\n", + "ax.set_xticks(x)\n", + "ax.set_xticklabels(labels)\n", + "ax.legend();" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": "
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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ], + "source": [ + "# Find total consumption and population density data\n", + "total_x, total_y = plot(total, \"Mongolia\")\n", + "top_5_x, top_5_y = plot(top_5_rename, \"Mongolia\")\n", + "\n", + "# Set labels, divide population density by 10,000 for better visual\n", + "labels = total_x\n", + "top_5_y = [round(value/10,2) for value in top_5_y]\n", + "\n", + "# Set label locations and width of the bars\n", + "x = np.arange(len(labels))\n", + "width = 0.35\n", + "\n", + "# Set the plot size and create the plotting area\n", + "fig, ax = plt.subplots(figsize=(20,10))\n", + "\n", + "# Create the individual bars\n", + "rects1 = ax.bar(x - width/2, total_y, width, label='Total Energy Consumption by Mongolia (quad Btu)')\n", + "rects2 = ax.bar(x + width/2, top_5_y, width, label=\"Population density (10 people per sq. km of land area)\")\n", + "\n", + "# Add some text for labels, title and custom x-axis tick labels, etc.\n", + "ax.set_xlabel(\"Time (years)\")\n", + "ax.set_title('Mongolia Total Energy Consumption vs Population Density')\n", + "ax.set_xticks(x)\n", + "ax.set_xticklabels(labels)\n", + "ax.legend();" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": "
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+ }, + "metadata": { + "needs_background": "light" + } + } + ], + "source": [ + "# Find total consumption and population density data\n", + "total_x, total_y = plot(total, \"Mauritania\")\n", + "top_5_x, top_5_y = plot(top_5_rename, \"Mauritania\")\n", + "\n", + "# Set labels, divide population density by 10,000 for better visual\n", + "labels = total_x\n", + "top_5_y = [round(value/10,2) for value in top_5_y]\n", + "\n", + "# Set label locations and width of the bars\n", + "x = np.arange(len(labels))\n", + "width = 0.35\n", + "\n", + "# Set the plot size and create the plotting area\n", + "fig, ax = plt.subplots(figsize=(20,10))\n", + "\n", + "# Create the individual bars\n", + "rects1 = ax.bar(x - width/2, total_y, width, label='Total Energy Consumption by Mauritania (quad Btu)')\n", + "rects2 = ax.bar(x + width/2, top_5_y, width, label=\"Population density (10 people per sq. km of land area)\")\n", + "\n", + "# Add some text for labels, title and custom x-axis tick labels, etc.\n", + "ax.set_xlabel(\"Time (years)\")\n", + "ax.set_title('Mauritania Total Energy Consumption vs Population Density')\n", + "ax.set_xticks(x)\n", + "ax.set_xticklabels(labels)\n", + "ax.legend();" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": "
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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ], + "source": [ + "# Find total consumption and population density data\n", + "total_x, total_y = plot(total, \"Bangladesh\")\n", + "top_5_x, top_5_y = plot(pop_density_df, \"Bangladesh\")\n", + "\n", + "# Set labels, divide population density by 10,000 for better visual\n", + "labels = total_x\n", + "top_5_y = [round(value/10000,2) for value in top_5_y]\n", + "\n", + "# Set label locations and width of the bars\n", + "x = np.arange(len(labels))\n", + "width = 0.35\n", + "\n", + "# Set the plot size and create the plotting area\n", + "fig, ax = plt.subplots(figsize=(20,10))\n", + "\n", + "# Create the individual bars\n", + "rects1 = ax.bar(x - width/2, total_y, width, label='Total Energy Consumption by Botswana (quad Btu)')\n", + "rects2 = ax.bar(x + width/2, top_5_y, width, label=\"Population density (10,000 people per sq. km of land area)\")\n", + "\n", + "# Add some text for labels, title and custom x-axis tick labels, etc.\n", + "ax.set_xlabel(\"Time (years)\")\n", + "ax.set_title('Botswana Total Energy Consumption vs Population Density')\n", + "ax.set_xticks(x)\n", + "ax.set_xticklabels(labels)\n", + "ax.legend();" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": "
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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ], + "source": [ + "# Find total consumption and population density data\n", + "total_x, total_y = plot(total, \"United States\")\n", + "top_5_x, top_5_y = plot(pop_density_df, \"United States\")\n", + "\n", + "# Set labels, divide population density by 10,000 for better visual\n", + "labels = total_x\n", + "#top_5_y = [round(value/100,2) for value in top_5_y]\n", + "\n", + "# Set label locations and width of the bars\n", + "x = np.arange(len(labels))\n", + "width = 0.35\n", + "\n", + "# Set the plot size and create the plotting area\n", + "fig, ax = plt.subplots(figsize=(20,10))\n", + "\n", + "# Create the individual bars\n", + "rects1 = ax.bar(x - width/2, total_y, width, label='Total Energy Consumption by United States (quad Btu)')\n", + "rects2 = ax.bar(x + width/2, top_5_y, width, label=\"Population density (people per sq. km of land area)\")\n", + "\n", + "# Add some text for labels, title and custom x-axis tick labels, etc.\n", + "ax.set_xlabel(\"Time (years)\")\n", + "ax.set_title('United States Total Energy Consumption vs Population Density')\n", + "ax.set_xticks(x)\n", + "ax.set_xticklabels(labels)\n", + "ax.legend();" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": "
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+ }, + "metadata": { + "needs_background": "light" + } + } + ], + "source": [ + "# Find total consumption and population density data\n", + "total_x, total_y = plot(total, \"World\")\n", + "top_5_x, top_5_y = plot(world, \"World\")\n", + "\n", + "# Set labels, divide population density by 10,000 for better visual\n", + "labels = total_x\n", + "top_5_y = [round(value/10000000,2) for value in top_5_y]\n", + "\n", + "# Set label locations and width of the bars\n", + "x = np.arange(len(labels))\n", + "width = 0.35\n", + "\n", + "# Set the plot size and create the plotting area\n", + "fig, ax = plt.subplots(figsize=(20,10))\n", + "\n", + "# Create the individual bars\n", + "rects1 = ax.bar(x - width/2, total_y, width, label='Total Energy Consumption by World (quad Btu)')\n", + "rects2 = ax.bar(x + width/2, top_5_y, width, label=\"Population density (10,000,000 people per sq. km of land area)\")\n", + "\n", + "# Add some text for labels, title and custom x-axis tick labels, etc.\n", + "ax.set_xlabel(\"Time (years)\")\n", + "ax.set_title('World Total Energy Consumption vs Population Density')\n", + "ax.set_xticks(x)\n", + "ax.set_xticklabels(labels)\n", + "ax.legend();" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": "
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\n" + }, + "metadata": { + "needs_background": "light" + } } ], "source": [ - "plt.savefig('../Images/Energy Consumption by type.png')" + "# Find total consumption and population density data\n", + "total_x, total_y = plot(total, \"Bangladesh\")\n", + "top_5_x, top_5_y = plot(pop_density_df, \"Bangladesh\")\n", + "plt.scatter(top_5_y , total_y, alpha=0.5, marker=\"o\", color=\"#195e83\", edgecolor=\"black\")\n", + "plt.title(\"Title\")\n", + "plt.xlabel(\"population density\")\n", + "plt.grid()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": "The r-squared is: 0.9169653145121281\n\nThe correlation between both factors is 0.96\n" + }, + { + "output_type": "display_data", + "data": { + "text/plain": "
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+ }, + "metadata": { + "needs_background": "light" + } + } + ], + "source": [ + "x_values = np.array(top_5_y)\n", + "y_values = np.array(total_y)\n", + "(slope, intercept, rvalue, pvalue, stderr) = linregress(x_values, y_values)\n", + "regress_values = x_values * slope + intercept\n", + "line_equation = \"y = \" + str(round(slope,2)) + \"x + \" + str(round(intercept,2))\n", + "print(f\"The r-squared is: {rvalue**2}\\n\")\n", + "plt.scatter(x_values,y_values, alpha=0.5, marker=\"o\", color=\"#195e83\", edgecolor=\"black\")\n", + "plt.plot(x_values,regress_values,\"r-\")\n", + "#plt.annotate(line_equation,(6000000000,300),fontsize=15,color=\"red\");\n", + "plt.ylabel(\"\")\n", + "plt.xlabel(\"\")\n", + "correlation = st.pearsonr(top_5_y, total_y)\n", + "print(f\"The correlation between both factors is {round(correlation[0],2)}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": 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+ }, + "metadata": { + "needs_background": "light" + } + } + ], + "source": [ + "# Find total consumption and population density data\n", + "total1, total2 = plot(total, \"World\")\n", + "topx, topy = plot(pop_density_df, \"World\")\n", + "plt.scatter(topy , total2, alpha=0.5, marker=\"o\", color=\"#195e83\", edgecolor=\"black\")\n", + "plt.title(\"Title\")\n", + "plt.xlabel(\"\")\n", + "plt.grid()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": "The r-squared is: 0.9459468090418464\n\nThe correlation between both factors is 0.97\n" + }, + { + "output_type": "display_data", + "data": { + "text/plain": "
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+ }, + "metadata": { + "needs_background": "light" + } + } + ], + "source": [ + "x_values = np.array(topy)\n", + "y_values = np.array(total2)\n", + "(slope, intercept, rvalue, pvalue, stderr) = linregress(x_values, y_values)\n", + "regress_values = x_values * slope + intercept\n", + "line_equation = \"y = \" + str(round(slope,2)) + \"x + \" + str(round(intercept,2))\n", + "print(f\"The r-squared is: {rvalue**2}\\n\")\n", + "plt.scatter(x_values,y_values, alpha=0.5, marker=\"o\", color=\"#195e83\", edgecolor=\"black\")\n", + "plt.plot(x_values,regress_values,\"r-\")\n", + "plt.annotate(line_equation,(45,300),fontsize=15,color=\"red\");\n", + "plt.ylabel(\"\")\n", + "plt.xlabel(\"\")\n", + "correlation = st.pearsonr(topy, total2)\n", + "print(f\"The correlation between both factors is {round(correlation[0],2)}\")" ] }, { @@ -350,26 +746,5 @@ "outputs": [], "source": [] } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.6" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} + ] +} \ No newline at end of file diff --git a/Scripts/population_density_plots.ipynb b/Scripts/population_density_plots.ipynb index 2a6d995..13f0065 100644 --- a/Scripts/population_density_plots.ipynb +++ b/Scripts/population_density_plots.ipynb @@ -21,8 +21,8 @@ { "output_type": "execute_result", "data": { - "text/plain": " Country Name Country Code 1986 1987 1988 1989 \\\n0 Aruba ABW 348.022222 343.516667 339.327778 339.066667 \n1 Afghanistan AFG 17.976563 17.774920 17.795553 18.179820 \n2 Angola AGO 8.277943 8.574035 8.877878 9.188078 \n3 Albania ALB 110.315146 112.540329 114.683796 117.808139 \n4 Andorra AND 98.972340 103.095745 107.306383 111.591489 \n\n 1990 1991 1992 1993 ... 2007 \\\n0 345.272222 359.011111 379.083333 402.800000 ... 562.344444 \n1 19.012205 20.370396 22.187829 24.226638 ... 41.510486 \n2 9.503799 9.825059 10.152696 10.487727 ... 16.768559 \n3 119.946788 119.225912 118.505073 117.784197 ... 108.394781 \n4 115.976596 120.576596 125.293617 129.725532 ... 175.923404 \n\n 2008 2009 2010 2011 2012 2013 \\\n0 563.100000 563.638889 564.827778 566.922222 569.777778 573.105556 \n1 42.462819 43.492959 44.704082 46.131503 47.730564 49.428038 \n2 17.402450 18.059101 18.734456 19.427818 20.139513 20.867715 \n3 107.566204 106.843759 106.314635 106.029015 105.854051 105.660292 \n4 178.429787 179.708511 179.678723 178.185106 175.376596 171.859575 \n\n 2014 2015 2016 \n0 576.522222 579.672222 582.622222 \n1 51.114778 52.712071 54.197114 \n2 21.610475 22.366553 23.135064 \n3 105.441752 105.135146 104.967190 \n4 168.538298 165.980851 164.461702 \n\n[5 rows x 33 columns]", - "text/html": "
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Country NameCountry Code19861987198819891990199119921993...2007200820092010201120122013201420152016
0ArubaABW348.022222343.516667339.327778339.066667345.272222359.011111379.083333402.800000...562.344444563.100000563.638889564.827778566.922222569.777778573.105556576.522222579.672222582.622222
1AfghanistanAFG17.97656317.77492017.79555318.17982019.01220520.37039622.18782924.226638...41.51048642.46281943.49295944.70408246.13150347.73056449.42803851.11477852.71207154.197114
2AngolaAGO8.2779438.5740358.8778789.1880789.5037999.82505910.15269610.487727...16.76855917.40245018.05910118.73445619.42781820.13951320.86771521.61047522.36655323.135064
3AlbaniaALB110.315146112.540329114.683796117.808139119.946788119.225912118.505073117.784197...108.394781107.566204106.843759106.314635106.029015105.854051105.660292105.441752105.135146104.967190
4AndorraAND98.972340103.095745107.306383111.591489115.976596120.576596125.293617129.725532...175.923404178.429787179.708511179.678723178.185106175.376596171.859575168.538298165.980851164.461702
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5 rows × 33 columns

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" + "text/plain": " Country Name Country Code 1986 1987 1988 1989 \\\n0 Aruba ABW 348.022222 343.516667 339.327778 339.066667 \n1 Afghanistan AFG 17.976563 17.774920 17.795553 18.179820 \n2 Angola AGO 8.277943 8.574035 8.877878 9.188078 \n3 Albania ALB 110.315146 112.540328 114.683796 117.808139 \n4 Andorra AND 98.972340 103.095745 107.306383 111.591489 \n\n 1990 1991 1992 1993 ... 2007 \\\n0 345.272222 359.011111 379.083333 402.800000 ... 562.344444 \n1 19.012205 20.370396 22.187829 24.226638 ... 41.510486 \n2 9.503799 9.825059 10.152696 10.487727 ... 16.768559 \n3 119.946788 119.225912 118.505073 117.784197 ... 108.394781 \n4 115.976596 120.576596 125.293617 129.725532 ... 175.923404 \n\n 2008 2009 2010 2011 2012 2013 \\\n0 563.100000 563.638889 564.827778 566.922222 569.777778 573.105556 \n1 42.462819 43.492959 44.704082 46.131503 47.730564 49.428038 \n2 17.402450 18.059101 18.734456 19.427818 20.139513 20.867715 \n3 107.566204 106.843759 106.314635 106.029015 105.854051 105.660292 \n4 178.429787 179.708511 179.678723 178.185106 175.376596 171.859574 \n\n 2014 2015 2016 \n0 576.522222 579.672222 582.622222 \n1 51.114778 52.712072 54.197114 \n2 21.610475 22.366552 23.135064 \n3 105.441752 105.135146 104.967190 \n4 168.538298 165.980851 164.461702 \n\n[5 rows x 33 columns]", + "text/html": "
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Country NameCountry Code19861987198819891990199119921993...2007200820092010201120122013201420152016
0ArubaABW348.022222343.516667339.327778339.066667345.272222359.011111379.083333402.800000...562.344444563.100000563.638889564.827778566.922222569.777778573.105556576.522222579.672222582.622222
1AfghanistanAFG17.97656317.77492017.79555318.17982019.01220520.37039622.18782924.226638...41.51048642.46281943.49295944.70408246.13150347.73056449.42803851.11477852.71207254.197114
2AngolaAGO8.2779438.5740358.8778789.1880789.5037999.82505910.15269610.487727...16.76855917.40245018.05910118.73445619.42781820.13951320.86771521.61047522.36655223.135064
3AlbaniaALB110.315146112.540328114.683796117.808139119.946788119.225912118.505073117.784197...108.394781107.566204106.843759106.314635106.029015105.854051105.660292105.441752105.135146104.967190
4AndorraAND98.972340103.095745107.306383111.591489115.976596120.576596125.293617129.725532...175.923404178.429787179.708511179.678723178.185106175.376596171.859574168.538298165.980851164.461702
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5 rows × 33 columns

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" }, "metadata": {}, "execution_count": 2 @@ -59,12 +59,20 @@ "tags": [] }, "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": "Text(0.5, 1.0, 'Population Density over Time')" + }, + "metadata": {}, + "execution_count": 4 + }, { "output_type": "display_data", "data": { "text/plain": "
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ltQGPAH9gjBl6mzatS71g3sH5S9XwJZxlb/T29l6uZBERkXfEGJtS6SVyub1kc3soFp/HmCoeTwvR6N10dHyUeHwLbcE1F7QtH2lYzfLOtae209//XbLZPhYt+kCjyxEREZFZYIyhUjlF/vw8o8IzjI6+CYDXGyQSuZPliz5ANHo34dCteL0tDa54brqiEMmyrCacAOnvjDE/dE+fsyyrw+1C6gAG3fP9QM+U27uBM+75rRec73PPd1/i+osYY74FfAtg3bp1GrwtIiIzplI5Qy63j2xuD/n8fqrVPABtbTfS0/Mw8fhmopF1Goi9AEWjd9HUlGAwvUMhkoiIyAJhjM3IyGtuYOQsTxsbOwuAzxclGl1Hd9eniUbX09Z2Ex6PNq+/EleyO5sF/C3wsjHmv0156SfAbwLfcJ9/POX871mW9X2cwdpFN2jaAfxXy7LOLxx8H/DvjTE5y7JKlmVtwFkm9zngr2fgs4mIiLylWm2EQuEQWXe2Ubn8OgDNze0kEltJxLcQi2+ipTnZ4EpltlmWl1TqvZw791Pq9TH95lFERGQesu0aw8NH3OVpT1MsPjfxS8GW5kXuLKO7iUbXEwyuxLI8Da54frqSqG0T8FngsGVZP3fP/Qec8OgfLcv6LeAk8HH3tUeB9wOvAWXg8wBuWPRfgGfc6/7i/JBt4LeB7wB+nIHaGqotIiIzypg6pdJLZHN7yOX2TVmi1kosejddnZ8kHt9MMLj6uthZQ6Zrd+ci5fJ7SSUfanQ5IiIichn1epmhoRexzf/HCz//DsXi89TrIwD4/b0kkw8Rja4nFr2b1tYe/Xw3Q65kd7a9XHpuEcBFP2W5u7L97lu817eBb1/i/LPAzZerRURE5GqMjp4mlz+/i9p+arUCAKG2tfT2fIF4fBORyDp1ngix2AZ8vjDpwccUIomIiMwxxhhGR09SHHqBYvEFhoovMDzyirtzGoyNrWbx4g8Ti64nGl1PS8uiBle8cGnRn4iILBi1WsnZRS1/fonaCQBaWhaTSj7k7qK2kWYtUZMLeDzNJJMPkc7sxLareDxNjS5JRETkuuV0GR2mWHzBDY6ep1p1FjJ5vUHC4dtYsuQrRMJ3cPjwCBvu+dUGV3z9UIgkIiLzlm3XKJV+iW1+ynPP/U+KQy9gTA2Px08sdjddXZ92lqgFVqqFWS6rPbWNs2d/RL5wiER8c6PLERERuS6c3zWtWHzBDY2eZ3h4sssoEFhGMrGVcOQOIpE7aQuuwrK8E/dbVl+DKr8+KUQSEZF5w2llfoNcbj+5/F7y+QPUaiXAom6vpbf3X7u7qN2Jx6MlanJ14vEteL0B0oOPKUQSERGZJfX6qNNl5HYYFYsvUK1mgfNdRreypPfLRCJ3EoncTlNT7DLvKNeSQiQREZnTxsdz5PP7yeX2kcvvo1I5DUBrSyftqV8hFt/Iy0fg7vW/1uBKZb7zeltJJLaSzjzBGvPn037LKSIiIlfP6TLqn+gwKhZfcLuMagD4/UtJJO5zAqPwHbS1rdb/f+c4hUgiIjKn1OsVCsVnyef2kcvtozT8EgA+X4hY7F6W9H6JeHwTfv/SiSVqr7zc18CKZSFpT21jcPBRCsXniUXXN7ocERGReaVerzBUOsyQ22FUHHqB8fEMAF5vgHDoVpb0fpFI5E7C4dtpbo43uGK5WgqRRESkoYyxKQ0fIZfbRz63j0LxGWx7HMtqIhK5g+XL/pB4fDOh0M14PPrflsyuRGIrHk8z6fQOhUgiIiJvwxkz0O8sSXN3TRsefnlKl9ES4vHNRMJ3EoncQTC4Wj/LLQD6NygiItfc6Gg/ufw+cjlnrlG1mgcgGFxNV9dniMc2Eo3ejc8XbHClcr3x+dqIx7eQHtzBqpV/ooHsIiIiU1SrRXK5vWSzfdhmJ/sPFAHwePyEw7fS2/tFIpE7iIRvp7k50eBqZTYoRBIRkVlXrRbJ5w9OBEejo28C0NK8iERiK/H4ZuKxjbS0tDe4UhFnSVsms5NS6TDh8K2NLkdERKRhjDEMjxwlm+kjm+2jOPQ8xtTx+aJYrGH16g+4XUZr1GV0ndC/ZRERmXG2PUax+MLEMOyhocOAjdcbJBa9h+7uzxKPbyYYWKlOD5lzksmHsCwfg+kdCpFEROS6U6sNk8vvc4Kj3G7Gxs4CEAqtZcmSr5BMbCUcvo1du/bQ3b21scXKNacQSURE3jVjDCMjr5LL7SWX30c+/zS2PYpleQmHb2PZ0t8lHt9MOHwbHk9To8sVeVtNTVFi0Q0MDj7GiuVfU9ApIiILmjGGcvl1Mlmn26hQeBZjqni9bSTiW0gktpJI3KeOcQEUIomIyDtUGTuLbfbx0ks/IZffN7HzRiCwnM7OjxGPbSIW24DPF2pwpSJXL9W+jaNH/yMjI6/S1ram0eWIiIjMqHp9lHz+4ERwVKn0A858yt6ez5NIbCUSuVO//JOLKEQSEZErUq0WyRcOks8dIJffR7l8HIBsLk48vol4bDPx+EZaWzsbXKnIu5dKvpejR/+MwfQOhUgiIrIglMtvknVDo3zhILY9jsfjJx7fxJIlXyaZ2Kqf4+SyFCKJiMgl1esVisXnyOX3k8/tZ6j0S8DG4/ETi91NZ+cnOf56C1s2fxrL8jS6XJEZ1dKSIhpZR3rwMZYv+2qjyxEREblqtj1GvvDMRHBULp8AIBBYRlfXp0kkthKLrsfjaWlwpTKfKEQSEREAjKkzVPol+dx+cvl9FIvPYdvjWJbPnWv0e8TiG4mEb8PjaQbgxPE+BUiyYKXat3Hs2F9SLp8gEFjW6HJEREQuq1I54y5R20U+v596vYzH00wsuoHurs+SSNxPILC00WXKPKYQSUTkOuUMUTzuDMLO7SdfOEitVgKgre0Guro+Qzy2kWh0PT5fW4OrFbn22lNOiDSYfpylS77c6HJEREQuYttVisXnyWb7yGT7GBl5FYDW1m4WL/4IycRWYrENeL3+BlcqC4VCJBGR60hl7OxEp1E+d4Cx8XOA84NGe+pXiMU3Eo/dS3NzssGVijRea2snodAtpNM7FCKJiMicYIxhbOwsttnL4cP/m2xuD/X6MJbVRDS6no6Oj5JMbCUQWKHdRWVWKEQSEVnA3moYdlNTnFjsXuKxjcTjG/H7extcqcjc1J7azuvHv0mlckbDRkVE5Jqo1YYZrfRTGT3FaKWf0dGTVEb7Ga2cYnS0H9seBaA4tJhFiz7gdhttVOf4tWIMDA9CsR+KJ6FwCor9LB8YhK1bG13drFOIJCKygLzVMGyvN0A0up7Ozk8Sj22irW2NZhmJXIH29m28fvybpNOP09PzcKPLERGRBcC2q1QqZ6i4AZETFJ2aCI2q1dy0673eNvz+bgL+pcTjW/D7e3jtmMWmjZ9Rt9FsqI3D0Gk3JDrlhkQnna/dwIj62PR7mkOErpP5iQqRRETmsbcfhn37JYdhi8iVCwSWEQyuZjC9QyGSiIhcEWMM4+MZKpVTjI66D/e4UumnUhkA7InrLctHa2sn/tZeUqn34W/twe+ffPh80YvCotdf61OA9E6Nldww6NSUkOjUZEBUGgDM9HvaFkGkGxbfAje8HyI9ziPa45xvjfKLXbvY2ojPc40pRBIRmUecYdivY5udvPji98kXDlGrDQHOMOzurs8Si92rYdgiM6g9tZ0Tb/w1Y+MZWjQvTEREgFqtxOhovxsU9TNaOel+7XQV2XZl2vXNzSn8/h6ikXW0Lu5xg6Ju/P5eWloWYVneBn2SBeYtlppN6yiqFKff42mCSJcTCi3f6gZDbjgU7YVwFzS1NuLTzEkKkURE5rjR0dPk8/vJ5w+Qyx9gfHwQgNJwD+2p7cTjm4jFNmgYtsgsSbVv48Qbf0Um/QRdXZ9qdDkiInKN1Wolsrk9ZDN91O3n2L3na1Sr+WnXOEvOegj4l5KI30erv3uio6i1tRuvVyHEjDAGRvOQOwF557HmlYNw8v9626VmE8FQ7z1OOBTpcQKiSA+0tYNHId6VUogkIjLHjI1nyOcPkM/tJ58/yGjlJADNzUlisXuJxe7l1aMeNm38eIMrFbk+tAXX4PcvYTC9QyGSiMh1YnS0n0xmJ5nMk+QLhzCmis8XBTppT91L6/nlZq3db7nkTN6heg2G+qcERW+4x284j7GhaZfHm2PgXTFlqVnv5DKzSA/4o434FAuWQiQRkQarVocoFA6Ryx8gn9/PyMgxAHy+ENHoPfT0PEwsdi/B4KqJH06OvdrXwIpFri+WZdGe2sbJU9+mWi3S1BRpdEkiIjLDjKkzNPQL0pknyWR2MjLyKgCBwAp6eh4mmXyISPgOdu/eyw03bG1ssQvBWOmCcOjE5HHxFNi1yWu9zRBdArGl0LvBeY4tc5+XcmD/02y9DnZFmysUIomIXGP1eplC4Tl3edp+SqWXABuPp5VodD2LF3+YeOxeQqG1Wh8vMkek2rfz5slvkcnspKPjI40uR0REZkCtNkIuv5dMeieZ7FNUqzksy0skso5VK/+EZPJBAoGljS5zfrJtGD43PRya2lVUzky/3h9zgqHOO+Dmj0wPisKdWm42hyhEEhGZZbY9TnHoF84StfwBisUXMKY6fQe12L1EIrfh8bQ0ulwRuYRw6BZaWhYzmN6hEElEZB6rVM6QcbuNcvmDGDOOzxcmkbifZOJBEon71XF6hTz1cUi/esGSsynLzmpThotbHmd5WWwp3PABiC+bHhRpydm8oRBJRGSGGVOnVDpCPr+fXP4AhcKz2PYoYBEKraWn52HisY1Eo+vwegONLldEroBleUiltnHmzD9Qq43g8wUbXZKIiFwBY2yGSocn5hsND78MgN+/lJ7uz5JMPkgkchceT1ODK52jqhU3IDoOudch+7rznDvBlmI/7DGT1zYFnXAosRJWvmd6UBTpAV9zoz6FzCCFSCIi75IxhpHya5PDsAuHqNWcgX/B4Co6Oz/mDMSObtBvtkTmsfbUdvr7v0s228eiRR9odDkiIvIW6vVRcrl9TnCUfYrx8TTgIRq5i5Urvk4y+R6CweWNLnPuqI1B/s0LQqLjkD3uzCdiSlDkj0N8OSzZyBtDHpbd8YAbFi2DYBI0XHzBU4gkIvIOjI6ecmcaOUvUnB9OoLW1m/bUdncXtQ20tLQ3uFIRmSnR6F00NSUYTO9QiCQiMsdUxs66y9SeJJ/fj22P4fW2kUjcRzL5EMnE/TQ1xRpdZuPUxqHw5gUhkXtc7AdjT17bGoXECmeIdfw3nOP4CicsCsQnLnuzr49lt2299p9FGkohkojIFRgfz5LL78e2H2Hf/v9MpXIKgObmpBsY3Us8thG/v6fBlYrIbLEsL6nUezl37qfU62N4vZphJiLSKMYYSqVfOsFRdqe7UQn4W3vp6vwUyeSDRKPr8XiuoyVU9epkR9HUkCj7utNRNC0oijjBUPfdcNunnOPECqfLaEpQJHIhhUgiIpdQr1coFJ8ll9tLLreP4eEj7it+Qm2b6e35PLHYvQSDq7DUtity3WhPbePMme+Ty+0hlXpPo8sREbmu1OsV8vkDE/ONxsbPARaRyB2sWP7vSKYeIhhYubB/NqvXoPAm8exzcPCVKUvQjkPhJJj65LUtYScU6l4Ht35yMiSKr3CCooX8z0lmjUIkERGcoYvDwy9PhEaF4jPY9jiW1UQkcifLl/0h8fhmnn8+x623PtjockWkQWKxDfh8YdLpHQqRRERmWb0+xvDwywyVXqRu/5jde34X267g9QaJx7eQSj5IIrGV5uZEo0udWcbASBoyxyD7GmSPOUFR5piz+5ld41aAw0BzCBLLofMOuPmjk0vPEisgkFBQJDNOIZKIXLcqlTPkcnvJ5vaSzx+gWs0BzjDsrq5PE49tIhq9e9ouTJbV16BqRWQu8HiaSSYfIp3ZiW1XtZuPiMgMse0qIyOvMjR0mKHSi5SGfsnwyFGMqblXxOns/DjJxEPEYnfj8SyAJcXjI044lH1t8pFxA6Ox4uR13mYnGEqtgRt/FRIref5kiTsf+igEUwqK5JpSiCQi141arUQ+f5Bcbh+5/F7K5RMANDenSCTuIx7bTDy+kZaWRQ2uVETmsvbUNs6e/RH5wiES8c2NLkdEZN4xps7IyOuUSocZKh1maOLuasgAACAASURBVOgww8NHsO1xAHy+COHQLSzp/SKh8C2EQ7dy4MArrFn9QIMrfwfs+uRA64nOIvcxdHr6teFuSK6EWz8OiVXOcWIlRHrA45126VCxD9q0gYtcewqRRGTBsu0qQ0O/cJeo7WWo9CLG1PF4/MRi99DV+RvE45sIBlcv7LXzIjKj4vEteL0B0oOPKUQSEbkMYwyjo28yNPQipdIvnefhl6jXywB4vUFCoZvp7vos4fCthEK34Pf3XvSzmWUdbUT5V8YYKGffevlZfXzy2paIEw4t3eIEROeDovgKaA407jOIXCGFSCKyYBhjKJePO6FRfh/5/CHq9WHAQzh8C0t6v0w8vplI5I7ra6cOEZlRXm8ricRW0pknWGP+HMvyXv4mEZHrgDGGsbGBKUvSnE6jWm0IAI+nhba2m+jo+Bjh0C2Ew7cSCCybP3+OVkcJDr8BL/3IXXr22mRoVJmy/MzT5AywTq6CNdudkCixynkOJrX8TOY1hUgiMq+Nj2fI5fZPBEdjY2cB8Pt7Wbz414nHNhOLbaCpKdLgSkVkIWlPbWNw8FEKxeeJRdc3uhwRkYYYG89QGnpxIjQaGjpMtZoFwLJ8tLWtob39/YTDtxIO3UIwuGruz5Kr16B48uJZRdnXoXiK9QDPuteGu5wB1jd/zO0qWuV8HekFr/6qLQuT/ssWkXmlXq9QKDxDLu/sojY8/DLgrJ2PxzYSj28iHt+M39/T4EpFZCFLJLbi8TSTHnxMIZKIXBeq1QJDpV86oVHpMENDL0788g48BIMrSCa2OjOMwrfSFrwBr3eODr82BobPXRwSZV+D3Amwq5PXnl9+tmQjxFfw0uA4a7f8urP8rKWtcZ9BpEEUIonInGaMYWTkVWzzKM+/8P9QLD6HbY9jWc1EI3eyYvnXiMc3EQqtnT+t0CIy7/l8bcTjWxhM72DVqj/VXDURWVDGx3OUho8wXDqCbT/J/gN/zujoyYnX/f6lRKPrCYduJRS+hVDbTdN2s50zKkU3HLpEV9F4afI6b4uz/Cy1Bm74gLv8zH0EEtOWn6X7+qDjtmv/WUTmCIVIIjLn1OsV8vkDZLJPkck8ydjYAADV6g10d32WeHwT0eh6vF4NHxSRxmlPbSOT2UmpdJhw+NZGlyMictWMMVQqpyiVjrih0cuUho9M6TACiNPWdjedHZ8kHL6FUOjmuTUmoDbmdA9dqqtoZHDKhRZEe51gqOceNyRa4e5+1n3R7mcicmkKkURkTqiMnSWbeYpM9ilyuX3YdgWvN0A8tonksq9y9Ggz99z9oUaXKSIyIZl8CMvyMZjeoRBJROY82x5nZOQ1SsNHKJWOMDz8MqXSEXcTErAsL4HAcmLRDbSFbiTUdhOh0I3s2/cLbr1la6OLp6UyCK8/OWWYtfsongJjT14bbHeCodXbpncUxZZCU2vDPoLIQqEQSUQawhiboaEXyWSfJJN5iuHhIwC0tvbQ2fkJkokHicXuxuNx1tK/+mpfA6sVEblYU1OUWHQDg4OPsWL517SkTUTmjFqtRGn4FYZLL1Fyw6KRkWMY48z68Xj8hNpuYPHiD7ph0U0Eg6vxehsYspwfaJ07AbnjU56PQ/4N7q2PwUH32uY2p4uoez3c9qkpXUUroHUOdUmJLEAKkUTkmqnVSmRze8lmniST7aNazWFZXiKRu1i54o9IJB8kGFipv4iJyLyRat/G0aP/kZGRV2lrW9PockTkOmOMYXx88ILlaC9Nm1/U1BQnFFpLIr7F7TBaSyCwpDGzJGvjUHhzMhya+iicBLs2eW1TwJlTlFwFq7dxNFNjzUZ3XlHbomlzikTk2lGIJCKzqlw+QSbbRybzJIXCMxhTxeeLkEjcTzLxAInEfTQ1RRtdpojIO5JKvpejR/+MwfQOhUgiMquMqVMuv0lp+KWJ2UWl0hGq1ezENX5/L6G2tXR0fGyiw6i5uf3a/oKuOgr5Ny4dFBX7py89aw5BYrkzqHrth53Q6PzjgqBooK+PNUs3X7vPISKXpBBJRGaUbVcpFJ915xs9Sbl8AoBgcBW9PV8gkXyASPgOPB798SMi819LS4pI5C7Sg4+xfNlXG12OiCwQtVoJY05w+vTZiV3SSsOvYNujAFhWE23B1SSTDxBqu4m20E2E2m7A5wtdmwLHhiF/4oKQyP166PT0a/0xJxTqucdZejY1KLpg5zMRmfv0tzgRedfGx7Nks7vIZJ8im91NvT6MZTUTi91Dd/fnSCYewO/vaXSZIiKzor19O8eO/SXl8gkCgWWNLkdE5gFjbMbGzjE6eorR0ZOMjr7pPFecr6vVPACvHAWvt41Q6Ca6Oj85sRwtGFyBx9M8mwXCaB7yJ0gN7oHdz0yfUTR8bvr1wXYnFFp2P8SXuSHRMogtg0B89uoUkWtOIZKIXDVjDMPDr5DJPkk28xTFoZ8DhubmFIva308y+QCx2CZ8vmCjSxURmXXtqW0cO/aXDKYfZ+mSLze6HBGZI+r1MSqVU25Q9Cbl0ZNuYHSKSuUUtj02ca1leWlp6STg76U9tR2/v5fjx4fZsOFjtLb2zM5ytGrF2dks/8YFjzed5/ESAGsBjgChTiccWvW+6d1E8WXQco06oESk4RQiicgVqdcr5PMH3N3UnmRs7CwAodAtLFv2VZKJBwiF1mJZngZXKiJybbW2dhIK3UI6vUMhksh1xBhDrVZgdPQU5fOdRG5INDr6JmNj5wAzcb3XG8Dv7yUYXE4yuRW/fwn+1h78/l5aWzvxeJqmvf+JE334/b3vvEDbdjqG8m84w6wvDIlKZ6Zf72uF2FLnsWTjxPEzrw2y/n2fgObAO69FRBYMhUgi8pbGxjOk049Tt/9fdu/5XWy7gtcbIB7fTDLxByQS99PS0t7oMkVEGq49tZ3Xj3+TSuUMra2djS5HRGaIMXUqlYEpAdH5JWdOaFSrlaZd39zcjt/fQyx2rxMS+XsI+Hvx+3tpakrMfEfRWGkyFJoWFL3h7HZWq0y52IJwpxMOrXgAoksmQ6PYUmhrv+R8opGzfQqQRGSCQiQRmWZ8PMNg+nEGBx8lnz8E2ECSzs5PkEw8SCx2Nx5PS6PLFBGZU9rbt/H68W8ymN5Bb8/nG12OiLwDY2NpCoVDFIrPUbefZ/+B/0KlchpjqhPXWFYTra1dBPy9RMJ34vf34vf3TDx7vTMcttRrMNQ/GRRdGBaVs9OvbwlDbAmk1sDqbU44FF3qPveATz/Dici7c9kQybKsbwO/CgwaY252z/0AOL+PbRQoGGNutyxrKfAycNR97aAx5ivuPXcB3wH8wKPA7xtjjGVZceAHwFLgDeATxpj8DHw2EblC4+NZ0unHOTf4KPn8QcAmEFjG0qW/TXv7+3n2mQHWrH6g0WWKiMxZgcAygsHVpNOPK0QSmSfGxjMU8ofIFw6Rzx+iXH4NwA2CUoRCa2lv3z6x5MzvX0Jr62IsyztzRdTGnN3MCqec+UQTzye55+wx2JUGU5+83uODSI8TFN34a5NdROe7ivwx7XYmIrPqSjqRvgP8D+B7508YYz55/tiyrP8TKE65/nVjzO2XeJ+/Ab4EHMQJkbYDPwP+GNhpjPmGZVl/7H799av7GCJytcbHc6TPdxwVDmJMHb9/KUuXfIX2RR+gLbhmouXass42uFoRkbmvPbWNE2/8D8bGM7Q0Jxtdjohc4K1Dozai0XV0dnyUWGwDbW03sXv3Xm65eesMfNPStGBoelB0yt3lzEy5wYLQYoj0MBRehX/Np6cHReEu8GoxiYg0zmX/BDLG7HY7jC5iOX/D/ATw4Nu9h2VZHUDYGHPA/fp7wIdwQqQPAlvdS78L9KEQSWRWVKt5Z6nauUfJFw64wdESlvR+ifb2D9DWdsPs7P4hInIdSLVv58Qbf00m/QRdXZ9qdDki173x8Qz5wtPk8wcvCI2Cbmj0EaKxDYTa1uLxvINgxhgYyUDx5MWdROePK4Xp93iaINLtLC1b+R7nOdLjPndDuBt8zQC83NfHoq1b3+U/BRGRmfVuY+wtwDljzLEp55ZZlvUCMAT8qTFmD9AF9E+5pt89B7DIGDMAYIwZsCxLU3pFZlC1miedfsJdqrbfDY566e39Eova309b240KjkREZkBbcA1+/xIG0zsUIok0wGRodIhC4RAjI85fUd5xaFSvOTuYvVVAVOyH2uj0e5rbJkOh7runhES9znPbIvBoJ1sRmb/ebYj0KeAfpnw9APQaY7LuDKR/sixrLXCpv6GaS5x7W5ZlfQlnSRy9ve9iu0uRBa5aLbjB0T+Tzx/AmBr+1l56e7/oBkc3KTgSEZlhlmXRntrGyVPfplot0tQUaXRJIguaExo9Qz5/8ILQKEA0so7Fiz9MLHoPodBaPJ6mi99gbNgJgs4HQ8V+51E4xYZzx2BXbvo8IoBA0gmG2m90BldPdBG5z61RzSQSkQXtHYdIlmX5gI8Ad50/Z4wZA8bc4+csy3odWI3TedQ95fZu4Ix7fM6yrA63C6kDGHyr72mM+RbwLYB169ZddQglspBVq0XS6ScYHPxncvn9GFOjtbWH3p7for39VwiFblZwJCIyy1Lt23nz5LfIZHbS0fGRRpcjsqCMj2fJF5525xodfPvQCC+MDDodQ6d+OiUs6n/rpWaW15k5FOmmEF3L4tXrJpeZRXqdZ211LyLXuXfTifQe4BVjzMQyNcuyUkDOGFO3LGs5sAo4bozJWZZVsixrA3AI+Bzw1+5tPwF+E/iG+/zjd1GTyHWlWi2SzjzB4ODPyOX2YUyV1tZuenu+4AZHtyg4EhG5hsKhW2hpWcxgeodCJJF3aXw8S8HtNLooNAreRndiEzFrMf5xL57cAJz4ORR/6oZFp8GuTn/DlrDTMRTpnr7ULNLtPEId4HF2Xnulr4/FmkckInKRy4ZIlmX9A87g66RlWf3AfzLG/C3wr5i+lA3gPuAvLMuqAXXgK8aYnPvab+Ps9ObHGaj9M/f8N4B/tCzrt4CTwMffzQcSWeiq1SEymX/h3OCj5HJ73eCoi56eh1nU/n4FRyIiDWRZHlKpbZw58w/UaiP4fMFGlyTSEMYYwGCMDdju1zbG1C84b2MwYGxsexxjnuXo0aconduLnT9Ga8UmUPWy3CQIVhfRUqniHc5hlX8K/HTyG1oeJwSKdEPXOrjpQ+4A697JkKhVS0xFRN6tK9md7ZKTIY0xD1/i3CPAI29x/bPAzZc4nwUeulwdItezWq1EOv0vDA4+Sja3xwmOWjrp6flN2tvfTzh0q4IjEZE5oj21nf7+75LN9rFo0QcaXY7MUcbUGSr9EtscZGAg64QppoYx9SmP2vTz1N/2ddzztqnB+fO4z/bU+2sXfb+6XeLAQf8lQh/bea/zxxcEQBd/PXn+rXjrhpaxOq0Vm9Yx2zkec47vGavTMmbw2hfc31R1O4d6oWeTGwz1TO50FuoA7yXmHomIyIx6t4O1RWSW1GolbHOAX7z492SzezBmnJaWDnq6P+cER+HbFByJiMxB0ehdNDUlGEzvUIgk01QqZ8jm9pDL7SWX20etVgTgyMtX+g4eLMt7wcOHZXncZy8WXiyPe57J80y5x+Npvej+8kiOtrZFznvhActyn6d8bXndGiz3+RLX1uv4RkdoGinhKw/hGxlyn4v4Rgp4R4p4x6fvaGawqAcj2MEY+aYw/ts3Q3TpZAdRpBv8MQ2sFhGZAxQiicwhxtTJ5Q8wMPAI6fQOjBmjVFpMd/dnWDQRHGlbWBGRucyyvKRS7+XcuZ9Sr4/h9bY0uiRpkFpthELhaTc42kO5fByAlpbFpFLvJR7fzMtHhtmwYROW5XNCGMuHx/ICF4ZE3ln9GaCvr49bbt769hfZdRg+58wbKp6CodPO8ZC7q1nxtDPM+kL+uBMEtd/pDq7ucrqI3GMr1IHP7SJ6ua+PRZpFJCIyZylEEpkDyuUTDAw8wsDZHzE2dhafL0xHx8cZONPDpo1fUHAkIjLPtKe2cebM98nl9pBKvafR5cg1YoxNafgIuewesrk9FIvPY0wVj6eVWPRuujo/RTyxhWBg5UQ38Ssv9+H39za4csAYGMm6gdBpJxQ6fzzkfl0aALs2/b7mtokdzVh8C4S73ZCo2zkOd2pHMxGRBUQhkkiD1Golzg0+ysDAIxSLzwEeEoktrFr1JyQTD+H1tnB2oE8BkojIPBSLbcDnC5NO71CItMBVxs66y9OcJWrVqrOnTFvbjfT2fJ54fDORyLrGd6TVxibDoMKpi7a835I/CbvGp9/jbXZCoHA3LNnkhEPnA6NIt3PcGtEyMxGR64hCJJFryBibfP4AAwM/ZDD9GLZdIRBYwcoVf8TixR+ipWVRo0sUEZEZ4PE0k0w+SDqzE/vCbcavQ8YYRsqvkc32Yds7efXVPfj9ve5jCX5/Fx7P/Fj2V69XKBSeJpfbSza3h5GRVwFobk6SSNxHPL6FeGwTLS2pa1eUMTCanxIK9UPh5ORxsR+Gz158X9tiJwxadDNn/Gvpufne6cvNAknw6JdZIiIySSGSyDVQLr/JwNlHODvwIypjZ/D5QnR0fISOxR/VgGwRkQWqPbWds2f/iXzhUKNLaYhabYR8/gDZbB/Z7C4qY2fcVxKcGXiJer085WqL1paO6cFSwDkO+Jfg84Ua8REAJwAbHjlKLreHXHYvheLT2PY4Hk8z0ch6OhZ/mHh8C21ta2ave7hehaEz0zqHpncU9UN1ZPo9vtbJHcxWvXf6Tmbnu4h8k8Hd63199GzYOjv1i4jIgqEQSWSW1GrDDA7+jIGBRygUnwE8JOKbWbny6yST7218W7uIiMyqeHwLXm+A9OBjwMJf0maMoVx+nWx2F5lsH4XCsxgzjtcbJB7byNKlv0MicT8HD77K/ffdz/h4htHKSUbLJxkdPf94k3RmJ9Vqdtp7NzXFpgRMk0FTwN9Lc3P7jP8yZmw8Qz63j2xuN7ncPsbH0wAEg6vo6voMifhmotG78Xr9M/MNRwtTuoZOXdBRdMqZRcQFW94HU04YlFoNK98zucQs2uN2ESW0zExERGacQiSRGWSMTb5wiIGB/83g4A5se5RAYDkrlv87Fnd8iNaWxY0uUURErhGvt5VEYiuD6ccx5sFGlzMr6vUyufwBstldZLN9VCqnASds6en5HIn4/USj6/B4mqfc9SqWZdHSkqKlJUU0ctdF71urDTM6emoiWDofMhWLP+fcuX8G7IlrPZ5W/P4ed1nc+e4l57m1teuC731ptj1GofAcudwesrm9DA8fAZzwKh7bRDyxhXh88zv7//j5LqLz84imBkTFfjZn34C+8vR7vM2TodCKByY7iiaeu6BphgIsERGRq6AQSWQGjI6eZGDghwyc/SGVymlnudriD9HR8VHC4du1XE1E5DrVntrG4OCjeKxjwPwPkpxuo+NuaLSLfOFpt9soQCy2kSVLvkIifj9+f9e7+j4+Xxuh0I2EQjde9JptV6lUTk/pXjpJ2Q2acrm92HZlytUeWls7LwiXluD392BMPydP/S9yuT3k84ew7QqW1UQkcicrln+NeHwzodDat1+iNjGLqP+CTqILZhEZe/p9gYQTCMWXc7ZpGd1r73XDITcoCqY0i0hEROYkhUgi71CtNsJg+mcMDPyQQuEQYBGPb2bF8q+RSr0Pr7e10SWKiEiDJRJb8Xiase3/g/0HfkAgsIxAYLn7vIxgYPmsLMeaSfX6KPn8QTLnZxtVTgEQCKykp/uzJBLnu42uzTJtj6eJQGApgcDSi14zxjA+np7oYCpPCZrS6ccndk4779gxCASW09n5CRLxLUSjd+PztU1eUBuf0kH0FiHRhbOIvC2TW9xPdBF1T3YRhbumbXn/Wl8f3Ru3zuA/IRERkdmjEEnkKhhjUyg84yxXSz9GvV7G71/KiuVfY/HiD9Ha2tHoEkVEZA7x+dq47bZv8/MXvk8oZFMunyCfPzitW8brDTqhiH96wBQILJseaFwjxhhGR9+YCI0KhUPuIGk/8fhGlvR+kUTifvz+7mte2+U4y+TaaWlpJxpdd9HrtVrJ7Vw6yUu/fI57b/t1/GN1Jwx67SgUd7ohkRscDZ/j4llE7e4sojXTZxGdD4mCSc0iEhGRBUshksgVGB3tZ+DsDxkY+CGVyim83jYWLfo1Ojo+SiR855z+DbKIiDRWPHYvHs8Yt9y8FXB+ITE2dpZy+QTl8glGyscpl49THPoF5wb/mamhRXNz+7SupfPHra09eDwz92Pc+W6jbG4X2cwuRisnAadLp6vrM063UWT9/NoUojY22UXk7mLmK54iVOwnVDxFMn8S7+5vTr/H558MhKbuaHb+Ee6CJnUai4jI9UshkshbqNfLDA4+xsDAI+QLBwGLeGwjK5b/obtcTQMtRUTk6lmWM6entbWTeHzTtNfq9TFnGZYbMJXLxymPniCd3sGZan7Ke/icGT+B5e7SruVOJ1NwOc1NiSv65Ua5/AZZt9soXziEbY/h8bQSi91Lb+9vud1GPTP++WfExCyiqbuYnbx4FtGF2hY7YdCimznjX0vPzRundxEF4uoiEhEReRsKkUSmMMZQLD6Hbf8v9uz9KvX6CH7/EpYv/zd0LP4wra2djS5RREQWMK+3hba21bS1rb7otWo1P6Vz6Q0nYCqfIJfbjW2PT1zn84XcpXHLps1gam3txJjDHH3VGYo9OvomAIHAMro6P+XONrpnbnQbnd/RbCIkOjWto+iSs4h8rZNh0NQuomjPZBeRb/Kzvd7XR8+Grdf2c4mIiMxzCpFEcGYknD37Y06f/nuGR44CLSxq/6CzXC1yl5ariYhIwzU1xYhEYkQid047b0ydSuXMZOeSGzAVCs9w9tyPL3qfM2daiMXupafnYRLx+wkEllyrjzBptHDBoOqpHUWnoDTAxbOIUu4sotXTZxFF3V3NAgl1EYmIiMwyhUhyXSuVXub06b/j7LmfUK+PEAqt5YYb/iuvHo1y443bGl2eiIjIZVmWF7+/B7+/h0Tivmmv1eujlEffpFw+TmX0FMePj3Pfli/O7g6i9ZqzlKxw6pIh0ebsG9BXnn6Pt3kyFJrY0axnynMXNGkZuYiISKMpRJLrTr0+xuDgP9N/+u8ZGnoBj6eFRYt+je6uTxMO3wrAsVf7GlukiIjIDPB6/YTabiDUdgMAJ070vfsAaaw0ZWnZqQs6ivqdZWimPv0ef9wJhOLLOdu0jO6197oBUa/zHEyBx/Pu6hIREZFZpxBJrhvl8glOn/4Hzgw8Qq1WIBBYzqpVf0rH4o/Q1BRpdHkiIiKNZ9edbe3Ph0JTZxAV+6F4EirF6fd4fBDudAKhJZumzyE6303UHJy4/LW+Pro3br22n0tERERmhEIkWdBsu0Yms5PTp/+eXH4vluUjlXofXV2/QSy6QbOORETkuuKpVyB99OIZROdDo6EzYFen39QamQyDejdMmUXkdhG1LQKPtzEfSERERK4phUiyIFXGznLm9A84c+YHjI2fo6Wlg+XL/pDOzk/Q0tLe6PJERERmXr3qDKQunnaXlfVfdHzfaA72TLnH8kCo0+kc6rl7ynb3vZPHreGGfSQRERGZWxQiyYJhjE0uv5/Tp/+OTGYnxtgk4ltY0/UXJBJb8Xj0n7uIiMxTxsBIerJ7aOj0BcennWHWxp5+X0vEDYO6oGsdx3P/P3t3HiTJddh3/vfqPvu+e+57MCBu4SAJcMATkCjRWttakgoRa2lNSSGFVrvaDYnejaXDkiJoW8dKYS9tSuYKoCRStC7SDkoUxWADEEWQxEUCBDCYGczVM33fVV1VXcfbPzKrKuvorpmenj5mvp+IjPfy5cvszCYRg/nhHQUduPuR6lSz5KDk589HAABwdfi3Bux4+fycroz9uS5f/rwymQsKBru0Z/f/rOHhDysa3bPVrwcAQGvZBScIWrzsTjW7XBcUXZGKudp7AhGpbdgJiA6crIZFbbuq9XCy5paLIyM6cMfJzfoqAABwkyFEwo5krdXi4ksavfwnmpz8ikqlFbW336cD+39ZfX0fkM8X3upXBADAkc8qujwmnXvGDYUuu9PLRqthUW6x9h7jd0YJtQ9Lw/dIx3+0Or2sbdgpY90Sa/sBAIBNRIiEHaVQSGl84su6fPlPlUq9Lr8/ocHBn9Cu4Y8qkTi61a8HALjVrCw76xCVp5QtXnZGDS1eceuXpeUZPSBJ3/HcF+txAqKuA9L+R5x6+y53FNGwlBhgmhkAANh2+LcT7Aip1CmNXv4TjY9/ScViSonEbTp29DfU3/9jCgTirR8AAMC1WklXw6CFy55gyBMQZeYa74t2OqOF2oal4XultiG9cWVJxx54rxsUDUnB6OZ/DwAAwHUiRMK2VSzmNDX1txq9/CdaWHhBPl9IfX0/ol3DP6m2trtkGMIPAFiv3JITBpXXG2oWEGUXGu+L9TghUPtuafcDbt0NhtqGnSlooVjDbeMjIzp24F2b8GEAAAA3DiEStp3l5Qu6fOXzGhv7C+Xzs4pG9+rQoU9oaPCfKhjs3OrXAwBsZ9ZKy7POFLOlMQ1e+Yb0jW9Vg6FyYFS/BpEkxfucMKhzv7TvndVgqG3IOZJDUjCy+d8EAACwTRAiYVuwtqjpmREVS7+vbz33qozxq6fnvdo1/JPq7HxIxvi2+hUBAFttJS0tjlUCIucYd0KhpXFpyS2LK5VbjkrSm0ZK9DtrDfUcdnYyqwREbkiUHJQCoS36MAAAgJ2BEAlbKp9f1NjYn2t09HPKZC9K6tD+/f+LhoZ+QpHwwFa/HgBgMxTzUmqiRUA01nz0UCgpJQektkFpz0NOPTnktg3pWz84r4fe9+OSP7j53wUAAHCTIUTClkinz+jS6Oc0Pv6XKhaX1d5+nw4e+j/02g9COrD/vVv9egCAjWCttDzj7l62RkCUnpJka+/1Bd1AaFDqPSodfLQhIFJyQAon13yF3NllAiQAAIANi46kWgAAIABJREFUQoiETWNtSTMzT+vS6JOanX1WxoQ00P+j2rX7Y2pL3i5Jev21ka19SQBAa6WStDztBECpCbccl5Ym3HJcD05dkJ6dr5laVhHvrQZCQ3dXA6FyQJQclGLdko+pzAAAANsJIRJuuEJhSVfG/lyjo08pk7mocKhfBw78bxoe+h8VCvVs9esBAMqKBSk96U4fqw+GPGV6UioVGu+PdDghUKJf8x23aeDQXU4g1DbolMlBZ20i1h4CAADYkQiRcMOk029p9PJTGhv7SxWLabW336ODB35Fvb0fkM/H1AIA2DSFXN2ooYnmQVF6Wg3TyiRnW/vkgHP0nZCS/VJioK7sl4LRyi1vjIxo4OTJTftEAAAA3HiESNhQ5Slro6NPaWb2GXfK2ge1a9fH1Nb2tq1+PQC4eVgrZRek1KQTCqUmpNSkDpz9rjT7+Wo4tDQmZecb7zd+KdFX3bVs+B53tFBdQJToY00hAAAASCJEwgYpFJY0NvYXujT6OWUy5xUK9enA/v9Vw8MfZsoaAFyLfNaZLlYXDjmjh+rOi7mG23eZgLQ45IRA3Qelfe+ohkLl6WTJAXfNIf8WfCAAAAB2KkIkXJfl5XO6NPqUxsb+wpmy1na3Dhz4ZfX1fkA+H2teAIAkdyHqmcZQqCYoco/sQvNnxHqcACjRJ3Ufqo4iSg5U64k+PfPcyzr56KOb+30AAAC4JRAi4ZpZW9Ls7LO6NPqkZmaeljFB9ff/iHbvekJtbXds9esBwOZZSVfXGEpNaHj0m9LXn6kGREvjTpmekmyx8f5QohoA9R2XDpz0BEKecCjec/VTyozZyC8EAAAAKgiRcNUKhZTGxv9So6NPaXn5nEKhXu3f/8saHvqwwuHerX49ANgY1kqZucZFqFOTjbuUrSzV3HpYkt4KSPE+JwBKDkqDd7qhUL9n9FC/0yec2JJPBAAAANaDEAktLS+f1+jo53Rl7M9VLKbU1naXTtz2u+rre4wpawB2jmLBGRFUnjbWbLeyNdYaUjBeXWy6/3bp0Hs908mc8pvfO6t3vPeDks+3+d8HAAAA3GCESGjKWqvZ2X9wp6yNyJiA+vt+RLt2f0ztbXdu9esBQFU+q0hmQrr47bqAqG7U0PK0ZEuN90c7qwtPl9ca8gRDlWvhZOtXCU0RIAEAAOCmRYiEGs6Utb/S6OjntLx8VqFQj/bv/yUND32EKWsANk+pVJ1SlhqvXV+oyULUD0rStz33G58zXSzZLyWHpKG7q1PKvMFQol8KhLfoIwEAAICdhRAJkiRrJ/Xm6d/QlSv/1ZmylrxDJ277HfX1Pc6UNQAbJ5+pDYKaBkPueanQeH8wVg2Deo85C1HH+/TGlXkdu/dd1elm8R62rwcAAAA2GCHSLcxaq9m5b2r00pMq2W9odNSvvr4f1u5dT6i9/a6tfj0AO0Vl1FB5bSFvGOQJiZYmpFyz7euNFO+tLjjdd5u7ALVnd7LyNvahRNPdx8ZHRnTsyMkb/qkAAADArYwQ6RZUKKQ1Pv7XujT6lJaXzygY7JbRB/WOt39C4XD/Vr8egO0in60Lg7wBkXM8NH1RemZhlVFD8eqUsb7j0oFHG0OhRL8U65H8/HEEAAAAbHf8W/stJJO5qNHRP9aVsS+qUFhSMnm7bjv+W+rv/2E988y3CJCAW0Fl+/rJurWGPOFQeTHq7BqjhtxwaLarS4OH7qyOIkp4DravBwAAAG4qhEg3OWut5ub+UZdGn9L09NdljF99fY9r966Pqa3tbpkm00IA7EDFfJNgaJWgqLjSeH8gWg2Beo9K+x/xhEKeRajrRg2dGhnR4MmTm/edAAAAALYMIdJNqlhc1tj4X2t09Cml06cVDHZp375f0K7hjzLiCNhJVtLVAKhSjunYme9LF/+fajC0PNP8/lh3dWRQ96Ha0ULlbewT7vb1hMoAAAAA1kCIdJPJZC5pdPRzujL2X1UoLCqZPKHbjv979fX9iPx+trEGtgVrpdySGwqNV6ePLY03Bka5xcb7/SF1BNqlwF6pc7+058G6YMhdlDreKwXYXREAAADAxmgZIhljPivpg5ImrbW3u23/WtK/lDTldvtX1tqvuNc+IelnJBUl/ZK19qtu+2OSfk+SX9IfWms/5bbvl/QFSV2SXpT0U9baJnMtsBpnytq3dGn0SXfKmk+9vY9p9+4n1N52D1PWgM1SWW/IGS1UDYeahET55cb7K1PKBqT+E9Kh91SDoeSAO61sQIp26rmnn9ZJppEBAAAA2ERXMxLpjyT9B0lP1bX/rrX2t7wNxpjbJH1Y0glJQ5L+3hhzxL38HyW9T9KopO8aY75srX1N0r91n/UFY8x/khNAfXqd33NLaTplbe/Pa3j4o4pEBrf69YCbR6noTBdLTahr5kXpxUt14ZBn5FAx13h/KFkNh4bvkZKDtdPJkoPO9XAbU8oAAAAAbFstQyRr7TPGmH1X+bwPSfqCtTYn6Zwx5oyk+91rZ6y1b0mSMeYLkj5kjHld0rslfdTt86Skfy1CpDVlMqMavfw5XbnyRWfKWuKEbjv+79TX90GmrAHXIp9ZewHq8k5l6SnJFiVJd0jSK+79kY5qELT3odpAqDxqiF3KAAAAANwkrmdNpF80xnxM0vOSfsVaOydpWNJznj6jbpskXaprf0BSt6R5a22hSX94WGs1N/+cRi89qanpr8sYo97eD2j3rifU3n4vU9aAslLJnVI2Xg2BGravn1h9vSHjk+J91QWoB+6oWWvoxdNXdM8jjzttwejmfx8AAAAAbJH1hkiflvTrkqxb/rakn5bULMmwknyrtK/WvyljzMclfVyS9uzZc21vvEMVixmNj39Jl0afVDr9poLBTu3b+7MaHv5JpqzhlmJKeWn+4uqjhcojiVKTUinf+IBgvBoM9Z+QDr57lS3suyWff9X3WJwckTr33bDvBAA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\n" }, "metadata": { "needs_background": "light" @@ -78,7 +86,10 @@ " population_density = population_df.loc[population_df[\"Country Name\"] == country,\"1986\":\"2016\"].values.flatten().tolist()\n", " plt.plot(years, population_density)\n", "plt.yticks(np.arange(0, 25000, 2500));\n", - "plt.grid(axis=\"x\")\n" + "plt.grid(axis=\"x\")\n", + "plt.ylabel(\"Population density (people per sq. km of land area)\")\n", + "plt.xlabel(\"Time (years)\")\n", + "plt.title(\"Population Density over Time\")\n" ] }, { @@ -89,8 +100,8 @@ { "output_type": "execute_result", "data": { - "text/plain": " Country Name Country Code 1986 1987 \\\n138 Macao SAR, China MAC 14779.550000 15409.000000 \n141 Monaco MCO 14520.500000 14584.000000 \n91 Hong Kong SAR, China HKG 5580.404040 5636.868687 \n195 Singapore SGP 4079.661194 4141.476119 \n79 Gibraltar GIB 2909.400000 2911.500000 \n\n 1988 1989 1990 1991 1992 \\\n138 16038.650000 16639.150000 17190.400000 17681.300000 18115.550000 \n141 14614.500000 14652.500000 14719.000000 14811.000000 14932.500000 \n91 5684.444444 5743.636364 5762.121212 5810.101010 5859.090909 \n195 4247.922388 4374.479104 4547.958209 4679.228358 4821.937313 \n79 2915.900000 2918.700000 2914.700000 2902.200000 2884.000000 \n\n 1993 ... 2007 2008 2009 \\\n138 18509.950000 ... 17277.773520 17645.170770 17844.067510 \n141 15073.000000 ... 17262.500000 17436.000000 17613.000000 \n91 5960.606061 ... 6586.952381 6626.476190 6640.761905 \n195 4945.479104 ... 6602.300719 6913.422857 7125.104286 \n79 2867.500000 ... 3351.700000 3355.900000 3356.500000 \n\n 2010 2011 2012 2013 2014 \\\n138 18121.851680 18422.474860 18864.180540 19055.181700 19478.812070 \n141 17806.000000 18012.000000 18230.000000 18450.500000 18661.000000 \n91 6689.714286 6734.857143 6809.619048 6837.047619 6885.238095 \n195 7231.812280 7363.193022 7524.698463 7636.721687 7714.702232 \n79 3358.500000 3361.200000 3364.600000 3369.200000 3372.500000 \n\n 2015 2016 \n138 19805.427880 20159.079200 \n141 18859.000000 19035.000000 \n91 6944.095238 6987.238095 \n195 7806.772752 7908.720563 \n79 3373.600000 3373.700000 \n\n[5 rows x 33 columns]", - "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
Country NameCountry Code19861987198819891990199119921993...2007200820092010201120122013201420152016
138Macao SAR, ChinaMAC14779.55000015409.00000016038.65000016639.15000017190.40000017681.30000018115.55000018509.950000...17277.77352017645.17077017844.06751018121.85168018422.47486018864.18054019055.18170019478.81207019805.42788020159.079200
141MonacoMCO14520.50000014584.00000014614.50000014652.50000014719.00000014811.00000014932.50000015073.000000...17262.50000017436.00000017613.00000017806.00000018012.00000018230.00000018450.50000018661.00000018859.00000019035.000000
91Hong Kong SAR, ChinaHKG5580.4040405636.8686875684.4444445743.6363645762.1212125810.1010105859.0909095960.606061...6586.9523816626.4761906640.7619056689.7142866734.8571436809.6190486837.0476196885.2380956944.0952386987.238095
195SingaporeSGP4079.6611944141.4761194247.9223884374.4791044547.9582094679.2283584821.9373134945.479104...6602.3007196913.4228577125.1042867231.8122807363.1930227524.6984637636.7216877714.7022327806.7727527908.720563
79GibraltarGIB2909.4000002911.5000002915.9000002918.7000002914.7000002902.2000002884.0000002867.500000...3351.7000003355.9000003356.5000003358.5000003361.2000003364.6000003369.2000003372.5000003373.6000003373.700000
\n

5 rows × 33 columns

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" + "text/plain": " Country Name Country Code 1986 1987 \\\n138 Macao SAR, China MAC 14779.550000 15409.000000 \n141 Monaco MCO 14520.500000 14584.000000 \n91 Hong Kong SAR, China HKG 5580.404040 5636.868687 \n195 Singapore SGP 4079.661194 4141.476119 \n79 Gibraltar GIB 2909.400000 2911.500000 \n\n 1988 1989 1990 1991 1992 \\\n138 16038.650000 16639.150000 17190.400000 17681.300000 18115.550000 \n141 14614.500000 14652.500000 14719.000000 14811.000000 14932.500000 \n91 5684.444444 5743.636364 5762.121212 5810.101010 5859.090909 \n195 4247.922388 4374.479104 4547.958209 4679.228358 4821.937313 \n79 2915.900000 2918.700000 2914.700000 2902.200000 2884.000000 \n\n 1993 ... 2007 2008 2009 \\\n138 18509.950000 ... 17277.773521 17645.170772 17844.067508 \n141 15073.000000 ... 17262.500000 17436.000000 17613.000000 \n91 5960.606061 ... 6586.952381 6626.476190 6640.761905 \n195 4945.479104 ... 6602.300719 6913.422857 7125.104286 \n79 2867.500000 ... 3351.700000 3355.900000 3356.500000 \n\n 2010 2011 2012 2013 2014 \\\n138 18121.851677 18422.474858 18864.180542 19055.181698 19478.812065 \n141 17806.000000 18012.000000 18230.000000 18450.500000 18661.000000 \n91 6689.714286 6734.857143 6809.619048 6837.047619 6885.238095 \n195 7231.812280 7363.193022 7524.698463 7636.721687 7714.702232 \n79 3358.500000 3361.200000 3364.600000 3369.200000 3372.500000 \n\n 2015 2016 \n138 19805.427880 20159.079200 \n141 18859.000000 19035.000000 \n91 6944.095238 6987.238095 \n195 7806.772752 7908.720563 \n79 3373.600000 3373.700000 \n\n[5 rows x 33 columns]", + "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
Country NameCountry Code19861987198819891990199119921993...2007200820092010201120122013201420152016
138Macao SAR, ChinaMAC14779.55000015409.00000016038.65000016639.15000017190.40000017681.30000018115.55000018509.950000...17277.77352117645.17077217844.06750818121.85167718422.47485818864.18054219055.18169819478.81206519805.42788020159.079200
141MonacoMCO14520.50000014584.00000014614.50000014652.50000014719.00000014811.00000014932.50000015073.000000...17262.50000017436.00000017613.00000017806.00000018012.00000018230.00000018450.50000018661.00000018859.00000019035.000000
91Hong Kong SAR, ChinaHKG5580.4040405636.8686875684.4444445743.6363645762.1212125810.1010105859.0909095960.606061...6586.9523816626.4761906640.7619056689.7142866734.8571436809.6190486837.0476196885.2380956944.0952386987.238095
195SingaporeSGP4079.6611944141.4761194247.9223884374.4791044547.9582094679.2283584821.9373134945.479104...6602.3007196913.4228577125.1042867231.8122807363.1930227524.6984637636.7216877714.7022327806.7727527908.720563
79GibraltarGIB2909.4000002911.5000002915.9000002918.7000002914.7000002902.2000002884.0000002867.500000...3351.7000003355.9000003356.5000003358.5000003361.2000003364.6000003369.2000003372.5000003373.6000003373.700000
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" }, "metadata": {}, "execution_count": 5 @@ -110,14 +121,14 @@ " max_value = max(starting_year)\n", " top_5 = top_5.append(population_df.loc[population_df[\"1986\"] == max_value])\n", " starting_year.remove(max_value)\n", - "\n", + " \n", "# Display the data frame\n", "top_5" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "metadata": { "tags": [] }, @@ -126,8 +137,8 @@ "output_type": "display_data", "data": { "text/plain": "
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}, "metadata": { "needs_background": "light" @@ -144,6 +155,9 @@ " labels.append(country)\n", "plt.yticks(np.arange(0, 25000, 2500));\n", "plt.grid(axis=\"x\")\n", + "plt.ylabel(\"Population density (people per sq. km of land area)\")\n", + "plt.xlabel(\"Time (years)\")\n", + "plt.title(\"Population Density over Time\")\n", "plt.legend(labels=labels);" ] }, @@ -170,7 +184,7 @@ }, "orig_nbformat": 2, "kernelspec": { - "name": "python_defaultSpec_1594865290822", + "name": "python_defaultSpec_1595055798773", "display_name": "Python 3.6.10 64-bit ('PythonData': conda)" } }, diff --git a/bibliography.txt b/bibliography.txt index e69de29..10b0dac 100644 --- a/bibliography.txt +++ b/bibliography.txt @@ -0,0 +1,10 @@ +https://stats.oecd.org/Index.aspx?DataSetCode=ITF_PASSENGER_TRANSPORT +OECD +https://datahub.io/core/global-temp#pandas +GISS Surface Temperature (GISTEMP) analysis and the global component of Climate at a Glance (GCAG). +https://www.eia.gov/international/data/world/total-energy/total-energy-consumption +U.S. Energy Information Administration +https://public.emdat.be/ +EM-DAT, the International Disaster Database. CRED/UCLouvain 2020 +https://datahelpdesk.worldbank.org/knowledgebase/articles/902061-climate-data-api +The World Bank \ No newline at end of file diff --git a/transit vs, resources_Stephen.ipynb b/transit vs, resources_Stephen.ipynb new file mode 100644 index 0000000..969a61f --- /dev/null +++ b/transit vs, resources_Stephen.ipynb @@ -0,0 +1,759 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import pandas as pd\n", + "import csv" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "transit_data = pd.read_csv(\"Cleaned Data/Passenger use by year.csv\")\n", + "energy_data = pd.read_csv(\"Cleaned Data/clean_energy_consumption_data.csv\")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "transit_df = pd.DataFrame(transit_data)\n", + "energy_df= pd.DataFrame(energy_data)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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COUNTRYCountryVARIABLEVariableYEARYearUnit CodeUnitPowerCode CodePowerCodeReference Period CodeReference PeriodValueFlag CodesFlags
0KORKoreaT-PASS-RD-TOTRoad passenger transport20012001PKMPassenger-kilometres6MillionsNaNNaN267525.000000NaNNaN
1KORKoreaT-PASS-RD-TOTRoad passenger transport20022002PKMPassenger-kilometres6MillionsNaNNaN244955.000000NaNNaN
2KORKoreaT-PASS-RD-TOTRoad passenger transport20032003PKMPassenger-kilometres6MillionsNaNNaN238861.000000NaNNaN
3KORKoreaT-PASS-RD-TOTRoad passenger transport20042004PKMPassenger-kilometres6MillionsNaNNaN190183.000000NaNNaN
4KORKoreaT-PASS-RD-TOTRoad passenger transport20052005PKMPassenger-kilometres6MillionsNaNNaN200779.000000BBreak
................................................
2606CHLChileT-PASS-RL-TOTRail passenger transport20142014PKMPassenger-kilometres6MillionsNaNNaN662.561655NaNNaN
2607CHLChileT-PASS-RL-TOTRail passenger transport20152015PKMPassenger-kilometres6MillionsNaNNaN584.365975NaNNaN
2608CHLChileT-PASS-RL-TOTRail passenger transport20162016PKMPassenger-kilometres6MillionsNaNNaN582.860352NaNNaN
2609CHLChileT-PASS-RL-TOTRail passenger transport20172017PKMPassenger-kilometres6MillionsNaNNaN595.783014NaNNaN
2610CHLChileT-PASS-RL-TOTRail passenger transport20182018PKMPassenger-kilometres6MillionsNaNNaN676.509974PProvisional value
\n", + "

2611 rows × 15 columns

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Location198619871988198919901991199219931994...2007200820092010201120122013201420152016
0World324.5344016334.5932663347.6354523352.3576472358.9595455352.2644272351.0744285353.9732567357.8829972...493.091062499.6972405494.3132499523.725112538.7016471550.8484054561.7706158567.0296292570.0615279573.9508257
1Afghanistan0.0391111990.0630651580.1112207870.1093645390.1083203410.0474381980.0312817660.0310687330.030081109...0.0342547090.0585264830.0953487950.1185385290.1610508020.1476076490.1240176820.1136195210.1254831370.117133389
2Albania0.1660753650.1666405430.1685908760.1603405850.1148452980.0963236940.0841912030.0738334020.070178183...0.096825040.1057448230.1150708740.1283273440.1058752040.1044311320.1277329760.1163264050.1165764060.12436058
3Algeria1.0736612641.1486393741.2229476341.180215251.2123548411.3544449641.302119421.1972103371.233072137...1.5581078061.685925241.7833792311.7777934831.9389818982.0999412932.0392760692.302024812.3547648122.337093871
4American Samoa0.0067165840.0069730090.0067788140.0078061910.0082105380.0082105380.0084455190.0082161960.008003583...0.0086069560.0086305360.0086069560.0086069560.0049115090.0049249660.0049115090.0049115090.0049088110.004908869
..................................................................
1149Wake Island000000000...0000000000
1150Western Sahara000000000...0000000000
1151Yemen000000000...0000.0000195120.0000194320.0000285480.0000477050.00009510.0010810040.00143096
1152Zambia0.090765010.0819801470.0805465240.0648655040.0753681020.075463980.0742009860.0739790340.074053328...0.094164680.0938216180.0940433320.0995053520.111393520.1142211320.1226572770.1286706440.1196638040.106261164
1153Zimbabwe0.04250370.0294552620.0316150660.0405645230.0457981660.0422186310.0362897220.0246963340.020230947...0.0600896850.0577087240.0543482020.0558316380.0487688640.0501873420.0480117570.0498178750.0447501160.034072702
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1154 rows × 32 columns

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