World Development Dataset
wlddev.RdThis dataset contains 5 indicators from the World Bank's World Development Indicators (WDI) database: (1) GDP per capita, (2) Life expectancy at birth, (3) GINI index, (4) Net ODA and official aid received and (5) Population. The panel data is balanced and covers 216 present and historic countries from 1960-2020 (World Bank aggregates and regional entities are excluded).
Apart from the indicators the data contains a number of identifiers (character country name, factor ISO3 country code, World Bank region and income level, numeric year and decade) and 2 generated variables: A logical variable indicating whether the country is an OECD member, and a fictitious variable stating the date the data was recorded. These variables were added so that all common data-types are represented in this dataset, making it an ideal test-dataset for certain collapse functions.
Usage
data("wlddev")Format
A data frame with 13176 observations on the following 13 variables. All variables are labeled e.g. have a 'label' attribute.
countrychr Country Name
iso3cfct Country Code
datedate Date Recorded (Fictitious)
yearint Year
decadeint Decade
regionfct World Bank Region
incomefct World Bank Income Level
OECDlog Is OECD Member Country?
PCGDPnum GDP per capita (constant 2010 US$)
LIFEEXnum Life expectancy at birth, total (years)
GINInum GINI index (World Bank estimate)
ODAnum Net official development assistance and official aid received (constant 2018 US$)
POPnum Population, total
Source
https://data.worldbank.org/, accessed via the WDI package. The codes for the series are c("NY.GDP.PCAP.KD", "SP.DYN.LE00.IN", "SI.POV.GINI", "DT.ODA.ALLD.KD", "SP.POP.TOTL").
Examples
data(wlddev)
# Panel-summarizing the 5 series
qsu(wlddev, pid = ~iso3c, cols = 9:13, vlabels = TRUE)
#> , , PCGDP: GDP per capita (constant 2010 US$)
#>
#> N/T Mean SD Min Max
#> Overall 9470 12048.778 19077.6416 132.0776 196061.417
#> Between 206 12962.6054 20189.9007 253.1886 141200.38
#> Within 45.9709 12048.778 6723.6808 -33504.8721 76767.5254
#>
#> , , LIFEEX: Life expectancy at birth, total (years)
#>
#> N/T Mean SD Min Max
#> Overall 11670 64.2963 11.4764 18.907 85.4171
#> Between 207 64.9537 9.8936 40.9663 85.4171
#> Within 56.3768 64.2963 6.0842 32.9068 84.4198
#>
#> , , GINI: Gini index (World Bank estimate)
#>
#> N/T Mean SD Min Max
#> Overall 1744 38.5341 9.2006 20.7 65.8
#> Between 167 39.4233 8.1356 24.8667 61.7143
#> Within 10.4431 38.5341 2.9277 25.3917 55.3591
#>
#> , , ODA: Net official development assistance and official aid received (constant 2018 US$)
#>
#> N/T Mean SD Min Max
#> Overall 8608 454'720131 868'712654 -997'679993 2.56715605e+10
#> Between 178 439'168412 569'049959 468717.916 3.62337432e+09
#> Within 48.3596 454'720131 650'709624 -2.44379420e+09 2.45610972e+10
#>
#> , , POP: Population, total
#>
#> N/T Mean SD Min Max
#> Overall 12919 24'245971.6 102'120674 2833 1.39771500e+09
#> Between 216 24'178573 98'616506.7 8343.3333 1.08786967e+09
#> Within 59.8102 24'245971.6 26'803077.4 -405'793067 510'077008
#>
# By Region
qsu(wlddev, by = ~region, cols = 9:13, vlabels = TRUE)
#> , , PCGDP: GDP per capita (constant 2010 US$)
#>
#> N Mean SD Min
#> East Asia & Pacific 1467 10513.2441 14383.5507 132.0776
#> Europe & Central Asia 2243 25992.9618 26435.1316 366.9354
#> Latin America & Caribbean 1976 7628.4477 8818.5055 1005.4085
#> Middle East & North Africa 842 13878.4213 18419.7912 578.5996
#> North America 180 48699.76 24196.2855 16405.9053
#> South Asia 382 1235.9256 1611.2232 265.9625
#> Sub-Saharan Africa 2380 1840.0259 2596.0104 164.3366
#> Max
#> East Asia & Pacific 71992.1517
#> Europe & Central Asia 196061.417
#> Latin America & Caribbean 88391.3331
#> Middle East & North Africa 116232.753
#> North America 113236.091
#> South Asia 8476.564
#> Sub-Saharan Africa 20532.9523
#>
#> , , LIFEEX: Life expectancy at birth, total (years)
#>
#> N Mean SD Min Max
#> East Asia & Pacific 1807 65.9445 10.1633 18.907 85.078
#> Europe & Central Asia 3046 72.1625 5.7602 45.369 85.4171
#> Latin America & Caribbean 2107 68.3486 7.3768 41.762 82.1902
#> Middle East & North Africa 1226 66.2508 9.8306 29.919 82.8049
#> North America 144 76.2867 3.5734 68.8978 82.0488
#> South Asia 480 57.5585 11.3004 32.446 78.921
#> Sub-Saharan Africa 2860 51.581 8.6876 26.172 74.5146
#>
#> , , GINI: Gini index (World Bank estimate)
#>
#> N Mean SD Min Max
#> East Asia & Pacific 154 37.7571 5.0318 27.8 49.1
#> Europe & Central Asia 798 31.9114 4.5809 20.7 48.4
#> Latin America & Caribbean 413 49.9557 5.4821 34.4 63.3
#> Middle East & North Africa 91 36.0143 5.2073 26 47.4
#> North America 49 37.4816 3.6972 31 41.5
#> South Asia 46 33.8804 3.9898 25.9 43.8
#> Sub-Saharan Africa 193 44.6606 8.2003 29.8 65.8
#>
#> , , ODA: Net official development assistance and official aid received (constant 2018 US$)
#>
#> N Mean SD Min
#> East Asia & Pacific 1537 352'017964 622'847624 -997'679993
#> Europe & Central Asia 787 402'455286 568'237036 -322'070007
#> Latin America & Caribbean 1972 172'880081 260'781049 -444'040009
#> Middle East & North Africa 1105 732'380009 1.52108993e+09 -141'789993
#> North America 39 468717.916 10'653560.8 -15'869999.9
#> South Asia 466 1.27049955e+09 1.61492889e+09 -247'369995
#> Sub-Saharan Africa 2702 486'371750 656'336230 -18'409999.8
#> Max
#> East Asia & Pacific 4.04487988e+09
#> Europe & Central Asia 4.34612988e+09
#> Latin America & Caribbean 2.99568994e+09
#> Middle East & North Africa 2.56715605e+10
#> North America 61'509998.3
#> South Asia 8.75425977e+09
#> Sub-Saharan Africa 1.18790801e+10
#>
#> , , POP: Population, total
#>
#> N Mean SD Min
#> East Asia & Pacific 2160 47'788194.6 184'121276 4375
#> Europe & Central Asia 3480 14'103754.9 24'686065.8 13411
#> Latin America & Caribbean 2520 10'371370.7 26'728206 2833
#> Middle East & North Africa 1227 12'549479.2 17'750818.2 47384
#> North America 180 93'783656.8 116'925373 44400
#> South Asia 480 144'180423 300'282162 89863
#> Sub-Saharan Africa 2872 11'597636.9 19'916800.8 41700
#> Max
#> East Asia & Pacific 1.39771500e+09
#> Europe & Central Asia 148'538197
#> Latin America & Caribbean 211'049527
#> Middle East & North Africa 100'388073
#> North America 328'239523
#> South Asia 1.36641775e+09
#> Sub-Saharan Africa 200'963599
#>
# Panel-summary by region
qsu(wlddev, by = ~region, pid = ~iso3c, cols = 9:13, vlabels = TRUE)
#> , , Overall, PCGDP: GDP per capita (constant 2010 US$)
#>
#> N/T Mean SD Min
#> East Asia & Pacific 1467 10513.2441 14383.5507 132.0776
#> Europe & Central Asia 2243 25992.9618 26435.1316 366.9354
#> Latin America & Caribbean 1976 7628.4477 8818.5055 1005.4085
#> Middle East & North Africa 842 13878.4213 18419.7912 578.5996
#> North America 180 48699.76 24196.2855 16405.9053
#> South Asia 382 1235.9256 1611.2232 265.9625
#> Sub-Saharan Africa 2380 1840.0259 2596.0104 164.3366
#> Max
#> East Asia & Pacific 71992.1517
#> Europe & Central Asia 196061.417
#> Latin America & Caribbean 88391.3331
#> Middle East & North Africa 116232.753
#> North America 113236.091
#> South Asia 8476.564
#> Sub-Saharan Africa 20532.9523
#>
#> , , Between, PCGDP: GDP per capita (constant 2010 US$)
#>
#> N/T Mean SD Min Max
#> East Asia & Pacific 34 10513.2441 12771.742 444.2899 39722.0077
#> Europe & Central Asia 56 25992.9618 24051.035 809.4753 141200.38
#> Latin America & Caribbean 38 7628.4477 8470.9708 1357.3326 77403.7443
#> Middle East & North Africa 20 13878.4213 17251.6962 1069.6596 64878.4021
#> North America 3 48699.76 18604.4369 35260.4708 74934.5874
#> South Asia 8 1235.9256 1488.3669 413.68 6621.5002
#> Sub-Saharan Africa 47 1840.0259 2234.3254 253.1886 9922.0052
#>
#> , , Within, PCGDP: GDP per capita (constant 2010 US$)
#>
#> N/T Mean SD Min
#> East Asia & Pacific 43.1471 12048.778 6615.8248 -11964.6472
#> Europe & Central Asia 40.0536 12048.778 10971.0483 -33504.8721
#> Latin America & Caribbean 52 12048.778 2451.2636 -354.1639
#> Middle East & North Africa 42.1 12048.778 6455.0512 -18674.4049
#> North America 60 12048.778 15470.4609 -29523.1017
#> South Asia 47.75 12048.778 617.0934 10026.9155
#> Sub-Saharan Africa 50.6383 12048.778 1321.764 4846.3834
#> Max
#> East Asia & Pacific 49541.463
#> Europe & Central Asia 76767.5254
#> Latin America & Caribbean 23036.3668
#> Middle East & North Africa 63665.0446
#> North America 50350.2816
#> South Asia 14455.865
#> Sub-Saharan Africa 24883.1246
#>
#> , , Overall, LIFEEX: Life expectancy at birth, total (years)
#>
#> N/T Mean SD Min Max
#> East Asia & Pacific 1807 65.9445 10.1633 18.907 85.078
#> Europe & Central Asia 3046 72.1625 5.7602 45.369 85.4171
#> Latin America & Caribbean 2107 68.3486 7.3768 41.762 82.1902
#> Middle East & North Africa 1226 66.2508 9.8306 29.919 82.8049
#> North America 144 76.2867 3.5734 68.8978 82.0488
#> South Asia 480 57.5585 11.3004 32.446 78.921
#> Sub-Saharan Africa 2860 51.581 8.6876 26.172 74.5146
#>
#> , , Between, LIFEEX: Life expectancy at birth, total (years)
#>
#> N/T Mean SD Min Max
#> East Asia & Pacific 32 65.9445 7.6833 49.7995 77.9008
#> Europe & Central Asia 55 72.1625 4.4378 60.1129 85.4171
#> Latin America & Caribbean 40 68.3486 4.9199 53.4918 82.1902
#> Middle East & North Africa 21 66.2508 5.922 52.5371 76.7395
#> North America 3 76.2867 1.3589 74.8065 78.4175
#> South Asia 8 57.5585 5.6158 49.1972 69.3429
#> Sub-Saharan Africa 48 51.581 5.657 40.9663 71.5749
#>
#> , , Within, LIFEEX: Life expectancy at birth, total (years)
#>
#> N/T Mean SD Min Max
#> East Asia & Pacific 56.4688 64.2963 6.6528 32.9068 83.9918
#> Europe & Central Asia 55.3818 64.2963 3.6723 46.3045 78.6265
#> Latin America & Caribbean 52.675 64.2963 5.4965 46.7831 79.5026
#> Middle East & North Africa 58.381 64.2963 7.8467 41.6187 78.8872
#> North America 48 64.2963 3.3049 54.7766 69.4306
#> South Asia 60 64.2963 9.8062 41.4342 83.0122
#> Sub-Saharan Africa 59.5833 64.2963 6.5933 41.5678 84.4198
#>
#> , , Overall, GINI: Gini index (World Bank estimate)
#>
#> N/T Mean SD Min Max
#> East Asia & Pacific 154 37.7571 5.0318 27.8 49.1
#> Europe & Central Asia 798 31.9114 4.5809 20.7 48.4
#> Latin America & Caribbean 413 49.9557 5.4821 34.4 63.3
#> Middle East & North Africa 91 36.0143 5.2073 26 47.4
#> North America 49 37.4816 3.6972 31 41.5
#> South Asia 46 33.8804 3.9898 25.9 43.8
#> Sub-Saharan Africa 193 44.6606 8.2003 29.8 65.8
#>
#> , , Between, GINI: Gini index (World Bank estimate)
#>
#> N/T Mean SD Min Max
#> East Asia & Pacific 23 37.7571 4.3005 30.8 45.8857
#> Europe & Central Asia 49 31.9114 4.0611 24.8667 40.935
#> Latin America & Caribbean 25 49.9557 4.0492 41.1 57.9
#> Middle East & North Africa 15 36.0143 4.7002 29.05 42.7
#> North America 2 37.4816 3.3563 33.1222 40.0129
#> South Asia 7 33.8804 3.0052 30.3556 38.8
#> Sub-Saharan Africa 46 44.6606 6.8844 34.52 61.7143
#>
#> , , Within, GINI: Gini index (World Bank estimate)
#>
#> N/T Mean SD Min Max
#> East Asia & Pacific 6.6957 38.5341 2.6125 31.0187 45.8901
#> Europe & Central Asia 16.2857 38.5341 2.1195 31.2841 50.1387
#> Latin America & Caribbean 16.52 38.5341 3.6955 25.3917 48.8341
#> Middle East & North Africa 6.0667 38.5341 2.2415 31.7675 45.777
#> North America 24.5 38.5341 1.5507 33.0212 42.7119
#> South Asia 6.5714 38.5341 2.6244 32.8341 45.0675
#> Sub-Saharan Africa 4.1957 38.5341 4.4553 27.9452 55.3591
#>
#> , , Overall, ODA: Net official development assistance and official aid received (constant 2018 US$)
#>
#> N/T Mean SD Min
#> East Asia & Pacific 1537 352'017964 622'847624 -997'679993
#> Europe & Central Asia 787 402'455286 568'237036 -322'070007
#> Latin America & Caribbean 1972 172'880081 260'781049 -444'040009
#> Middle East & North Africa 1105 732'380009 1.52108993e+09 -141'789993
#> North America 39 468717.916 10'653560.8 -15'869999.9
#> South Asia 466 1.27049955e+09 1.61492889e+09 -247'369995
#> Sub-Saharan Africa 2702 486'371750 656'336230 -18'409999.8
#> Max
#> East Asia & Pacific 4.04487988e+09
#> Europe & Central Asia 4.34612988e+09
#> Latin America & Caribbean 2.99568994e+09
#> Middle East & North Africa 2.56715605e+10
#> North America 61'509998.3
#> South Asia 8.75425977e+09
#> Sub-Saharan Africa 1.18790801e+10
#>
#> , , Between, ODA: Net official development assistance and official aid received (constant 2018 US$)
#>
#> N/T Mean SD Min
#> East Asia & Pacific 31 352'017964 457'183279 1'654615.38
#> Europe & Central Asia 32 402'455286 438'074771 12'516000.1
#> Latin America & Caribbean 37 172'880081 167'160838 2'225483.88
#> Middle East & North Africa 21 732'380009 775'418887 3'112820.5
#> North America 1 468717.916 0 468717.916
#> South Asia 8 1.27049955e+09 1.18347893e+09 27'152499.9
#> Sub-Saharan Africa 48 486'371750 397'995105 28'801206.9
#> Max
#> East Asia & Pacific 1.63585532e+09
#> Europe & Central Asia 2.05456932e+09
#> Latin America & Caribbean 538'386665
#> Middle East & North Africa 2.86174883e+09
#> North America 468717.916
#> South Asia 3.62337432e+09
#> Sub-Saharan Africa 1.55049113e+09
#>
#> , , Within, ODA: Net official development assistance and official aid received (constant 2018 US$)
#>
#> N/T Mean SD
#> East Asia & Pacific 49.5806 454'720131 422'992450
#> Europe & Central Asia 24.5938 454'720131 361'916875
#> Latin America & Caribbean 53.2973 454'720131 200'159960
#> Middle East & North Africa 52.619 454'720131 1.30860235e+09
#> North America 39 454'720131 10'653560.8
#> South Asia 58.25 454'720131 1.09880524e+09
#> Sub-Saharan Africa 56.2917 454'720131 521'897637
#> Min Max
#> East Asia & Pacific -2.04042108e+09 3.59673152e+09
#> Europe & Central Asia -1.08796786e+09 3.30549004e+09
#> Latin America & Caribbean -527'706542 3.28976141e+09
#> Middle East & North Africa -2.34610870e+09 2.45610972e+10
#> North America 438'381413 515'761411
#> South Asia -2.44379420e+09 5.58560558e+09
#> Sub-Saharan Africa -952'168698 1.12814455e+10
#>
#> , , Overall, POP: Population, total
#>
#> N/T Mean SD Min
#> East Asia & Pacific 2160 47'788194.6 184'121276 4375
#> Europe & Central Asia 3480 14'103754.9 24'686065.8 13411
#> Latin America & Caribbean 2520 10'371370.7 26'728206 2833
#> Middle East & North Africa 1227 12'549479.2 17'750818.2 47384
#> North America 180 93'783656.8 116'925373 44400
#> South Asia 480 144'180423 300'282162 89863
#> Sub-Saharan Africa 2872 11'597636.9 19'916800.8 41700
#> Max
#> East Asia & Pacific 1.39771500e+09
#> Europe & Central Asia 148'538197
#> Latin America & Caribbean 211'049527
#> Middle East & North Africa 100'388073
#> North America 328'239523
#> South Asia 1.36641775e+09
#> Sub-Saharan Africa 200'963599
#>
#> , , Between, POP: Population, total
#>
#> N/T Mean SD Min
#> East Asia & Pacific 36 47'788194.6 179'715591 8343.3333
#> Europe & Central Asia 58 14'103754.9 24'507651 24593.9
#> Latin America & Caribbean 42 10'371370.7 25'405423.8 16704.95
#> Middle East & North Africa 21 12'549479.2 15'905067.3 363388.1
#> North America 3 93'783656.8 114'001343 58013.9167
#> South Asia 8 144'180423 281'793860 239010.367
#> Sub-Saharan Africa 48 11'597636.9 17'461323.8 70367.5833
#> Max
#> East Asia & Pacific 1.08786967e+09
#> Europe & Central Asia 139'805322
#> Latin America & Caribbean 145'198074
#> Middle East & North Africa 57'543388.2
#> North America 253'773772
#> South Asia 880'586717
#> Sub-Saharan Africa 103'186135
#>
#> , , Within, POP: Population, total
#>
#> N/T Mean SD Min
#> East Asia & Pacific 60 24'245971.6 40'036868 -403'293695
#> Europe & Central Asia 60 24'245971.6 2'962581.72 -1'848462.12
#> Latin America & Caribbean 60 24'245971.6 8'304302.6 -48'772876.7
#> Middle East & North Africa 58.4286 24'245971.6 7'881648.49 -6'664522.66
#> North America 60 24'245971.6 25'985318.3 -48'856800
#> South Asia 60 24'245971.6 103'738120 -405'793067
#> Sub-Saharan Africa 59.8333 24'245971.6 9'580246.6 -33'801705.6
#> Max
#> East Asia & Pacific 334'091305
#> Europe & Central Asia 54'108807.9
#> Latin America & Caribbean 90'097424.3
#> Middle East & North Africa 67'090656.3
#> North America 98'711723
#> South Asia 510'077008
#> Sub-Saharan Africa 122'023435
#>
# Pairwise correlations: Ovarall
print(pwcor(get_vars(wlddev, 9:13), N = TRUE, P = TRUE), show = "lower.tri")
#> PCGDP LIFEEX GINI ODA POP
#> PCGDP 1 (9470)
#> LIFEEX .57* (9022) 1 (11670)
#> GINI -.44* (1735) -.35* (1742) 1 (1744)
#> ODA -.16* (7128) -.02 (8142) -.20* (1109) 1 (8608)
#> POP -.06* (9470) .03* (11659) .04 (1744) .31* (8597) 1 (12919)
# Pairwise correlations: Between Countries
print(pwcor(fmean(get_vars(wlddev, 9:13), wlddev$iso3c), N = TRUE, P = TRUE), show = "lower.tri")
#> PCGDP LIFEEX GINI ODA POP
#> PCGDP 1 (206)
#> LIFEEX .60* (199) 1 (207)
#> GINI -.42* (165) -.40* (165) 1 (167)
#> ODA -.25* (172) -.21* (172) -.19* (145) 1 (178)
#> POP -.07 (206) -.02 (207) -.04 (167) .50* (178) 1 (216)
# Pairwise correlations: Within Countries
print(pwcor(fwithin(get_vars(wlddev, 9:13), wlddev$iso3c), N = TRUE, P = TRUE), show = "lower.tri")
#> PCGDP LIFEEX GINI ODA POP
#> PCGDP 1 (9470)
#> LIFEEX .31* (9022) 1 (11670)
#> GINI -.01 (1735) -.16* (1742) 1 (1744)
#> ODA -.01 (7128) .17* (8142) -.08* (1109) 1 (8608)
#> POP .06* (9470) .29* (11659) .01 (1744) -.11* (8597) 1 (12919)