Poverty Probability Index (PPI) lookup table for Bolivia
Format
A data frame with 10 columns and 101 rows:
scorePPI score
nl100National poverty line (100%)
nl150National poverty line (150%)
nl200National poverty line (200%)
half100Poorest half below 100% national
ppp125Below $1.25 per day purchasing power parity (2005)
ppp200Below $2.00 per day purchasing power parity (2005)
ppp250Below $2.50 per day purchasing power parity (2005)
ppp500Below $5.00 per day purchasing power parity (2005)
ppp844Below $8.44 per day purchasing power parity (2005)
Examples
# Access Bolivia PPI table
ppiBOL2015
#> score nl100 nl150 nl200 half100 ppp125 ppp200 ppp250 ppp500 ppp844
#> 0 0 100.0 100.0 100.0 89.4 100.0 100.0 100.0 100.0 100.0
#> 1 1 100.0 100.0 100.0 89.4 100.0 100.0 100.0 100.0 100.0
#> 2 2 100.0 100.0 100.0 89.4 100.0 100.0 100.0 100.0 100.0
#> 3 3 100.0 100.0 100.0 89.4 100.0 100.0 100.0 100.0 100.0
#> 4 4 100.0 100.0 100.0 89.4 100.0 100.0 100.0 100.0 100.0
#> 5 5 93.3 99.3 100.0 77.4 75.9 96.8 97.6 100.0 100.0
#> 6 6 93.3 99.3 100.0 77.4 75.9 96.8 97.6 100.0 100.0
#> 7 7 93.3 99.3 100.0 77.4 75.9 96.8 97.6 100.0 100.0
#> 8 8 93.3 99.3 100.0 77.4 75.9 96.8 97.6 100.0 100.0
#> 9 9 93.3 99.3 100.0 77.4 75.9 96.8 97.6 100.0 100.0
#> 10 10 80.0 96.7 99.6 61.9 67.3 77.3 83.9 100.0 100.0
#> 11 11 80.0 96.7 99.6 61.9 67.3 77.3 83.9 100.0 100.0
#> 12 12 80.0 96.7 99.6 61.9 67.3 77.3 83.9 100.0 100.0
#> 13 13 80.0 96.7 99.6 61.9 67.3 77.3 83.9 100.0 100.0
#> 14 14 80.0 96.7 99.6 61.9 67.3 77.3 83.9 100.0 100.0
#> 15 15 67.6 92.1 97.4 42.6 50.9 64.1 76.6 91.1 100.0
#> 16 16 67.6 92.1 97.4 42.6 50.9 64.1 76.6 91.1 100.0
#> 17 17 67.6 92.1 97.4 42.6 50.9 64.1 76.6 91.1 100.0
#> 18 18 67.6 92.1 97.4 42.6 50.9 64.1 76.6 91.1 100.0
#> 19 19 67.6 92.1 97.4 42.6 50.9 64.1 76.6 91.1 100.0
#> 20 20 50.6 85.8 94.6 23.6 36.4 53.9 63.3 84.9 94.4
#> 21 21 50.6 85.8 94.6 23.6 36.4 53.9 63.3 84.9 94.4
#> 22 22 50.6 85.8 94.6 23.6 36.4 53.9 63.3 84.9 94.4
#> 23 23 50.6 85.8 94.6 23.6 36.4 53.9 63.3 84.9 94.4
#> 24 24 50.6 85.8 94.6 23.6 36.4 53.9 63.3 84.9 94.4
#> 25 25 35.0 74.7 92.4 12.9 24.0 38.4 56.4 84.5 94.4
#> 26 26 35.0 74.7 92.4 12.9 24.0 38.4 56.4 84.5 94.4
#> 27 27 35.0 74.7 92.4 12.9 24.0 38.4 56.4 84.5 94.4
#> 28 28 35.0 74.7 92.4 12.9 24.0 38.4 56.4 84.5 94.4
#> 29 29 35.0 74.7 92.4 12.9 24.0 38.4 56.4 84.5 94.4
#> 30 30 17.1 60.4 84.5 4.6 13.6 22.9 36.5 81.5 94.4
#> 31 31 17.1 60.4 84.5 4.6 13.6 22.9 36.5 81.5 94.4
#> 32 32 17.1 60.4 84.5 4.6 13.6 22.9 36.5 81.5 94.4
#> 33 33 17.1 60.4 84.5 4.6 13.6 22.9 36.5 81.5 94.4
#> 34 34 17.1 60.4 84.5 4.6 13.6 22.9 36.5 81.5 94.4
#> 35 35 9.7 48.1 76.3 2.6 7.3 16.2 25.7 67.3 90.5
#> 36 36 9.7 48.1 76.3 2.6 7.3 16.2 25.7 67.3 90.5
#> 37 37 9.7 48.1 76.3 2.6 7.3 16.2 25.7 67.3 90.5
#> 38 38 9.7 48.1 76.3 2.6 7.3 16.2 25.7 67.3 90.5
#> 39 39 9.7 48.1 76.3 2.6 7.3 16.2 25.7 67.3 90.5
#> 40 40 4.5 32.5 65.7 1.1 4.8 14.1 18.8 57.6 83.0
#> 41 41 4.5 32.5 65.7 1.1 4.8 14.1 18.8 57.6 83.0
#> 42 42 4.5 32.5 65.7 1.1 4.8 14.1 18.8 57.6 83.0
#> 43 43 4.5 32.5 65.7 1.1 4.8 14.1 18.8 57.6 83.0
#> 44 44 4.5 32.5 65.7 1.1 4.8 14.1 18.8 57.6 83.0
#> 45 45 2.3 23.5 50.8 0.2 3.7 11.5 15.9 47.4 78.3
#> 46 46 2.3 23.5 50.8 0.2 3.7 11.5 15.9 47.4 78.3
#> 47 47 2.3 23.5 50.8 0.2 3.7 11.5 15.9 47.4 78.3
#> 48 48 2.3 23.5 50.8 0.2 3.7 11.5 15.9 47.4 78.3
#> 49 49 2.3 23.5 50.8 0.2 3.7 11.5 15.9 47.4 78.3
#> 50 50 1.2 11.4 34.6 0.2 2.0 4.7 8.5 40.0 72.7
#> 51 51 1.2 11.4 34.6 0.2 2.0 4.7 8.5 40.0 72.7
#> 52 52 1.2 11.4 34.6 0.2 2.0 4.7 8.5 40.0 72.7
#> 53 53 1.2 11.4 34.6 0.2 2.0 4.7 8.5 40.0 72.7
#> 54 54 1.2 11.4 34.6 0.2 2.0 4.7 8.5 40.0 72.7
#> 55 55 0.9 9.3 25.8 0.2 2.0 4.3 6.7 35.3 69.3
#> 56 56 0.9 9.3 25.8 0.2 2.0 4.3 6.7 35.3 69.3
#> 57 57 0.9 9.3 25.8 0.2 2.0 4.3 6.7 35.3 69.3
#> 58 58 0.9 9.3 25.8 0.2 2.0 4.3 6.7 35.3 69.3
#> 59 59 0.9 9.3 25.8 0.2 2.0 4.3 6.7 35.3 69.3
#> 60 60 0.9 9.3 25.8 0.2 1.5 2.8 4.4 23.7 55.4
#> 61 61 0.9 9.3 25.8 0.2 1.5 2.8 4.4 23.7 55.4
#> 62 62 0.9 9.3 25.8 0.2 1.5 2.8 4.4 23.7 55.4
#> 63 63 0.9 9.3 25.8 0.2 1.5 2.8 4.4 23.7 55.4
#> 64 64 0.9 9.3 25.8 0.2 1.5 2.8 4.4 23.7 55.4
#> 65 65 0.9 9.3 25.8 0.2 1.4 2.2 3.4 15.8 44.4
#> 66 66 0.9 9.3 25.8 0.2 1.4 2.2 3.4 15.8 44.4
#> 67 67 0.9 9.3 25.8 0.2 1.4 2.2 3.4 15.8 44.4
#> 68 68 0.9 9.3 25.8 0.2 1.4 2.2 3.4 15.8 44.4
#> 69 69 0.9 9.3 25.8 0.2 1.4 2.2 3.4 15.8 44.4
#> 70 70 0.9 9.3 25.8 0.2 1.4 2.2 3.4 12.3 36.3
#> 71 71 0.9 9.3 25.8 0.2 1.4 2.2 3.4 12.3 36.3
#> 72 72 0.9 9.3 25.8 0.2 1.4 2.2 3.4 12.3 36.3
#> 73 73 0.9 9.3 25.8 0.2 1.4 2.2 3.4 12.3 36.3
#> 74 74 0.9 9.3 25.8 0.2 1.4 2.2 3.4 12.3 36.3
#> 75 75 0.9 9.3 25.8 0.2 1.4 2.0 2.9 7.2 23.0
#> 76 76 0.9 9.3 25.8 0.2 1.4 2.0 2.9 7.2 23.0
#> 77 77 0.9 9.3 25.8 0.2 1.4 2.0 2.9 7.2 23.0
#> 78 78 0.9 9.3 25.8 0.2 1.4 2.0 2.9 7.2 23.0
#> 79 79 0.9 9.3 25.8 0.2 1.4 2.0 2.9 7.2 23.0
#> 80 80 0.9 9.3 25.8 0.2 0.6 0.6 0.6 2.1 16.4
#> 81 81 0.9 9.3 25.8 0.2 0.6 0.6 0.6 2.1 16.4
#> 82 82 0.9 9.3 25.8 0.2 0.6 0.6 0.6 2.1 16.4
#> 83 83 0.9 9.3 25.8 0.2 0.6 0.6 0.6 2.1 16.4
#> 84 84 0.9 9.3 25.8 0.2 0.6 0.6 0.6 2.1 16.4
#> 85 85 0.9 9.3 25.8 0.2 0.0 0.0 0.0 1.7 10.7
#> 86 86 0.9 9.3 25.8 0.2 0.0 0.0 0.0 1.7 10.7
#> 87 87 0.9 9.3 25.8 0.2 0.0 0.0 0.0 1.7 10.7
#> 88 88 0.9 9.3 25.8 0.2 0.0 0.0 0.0 1.7 10.7
#> 89 89 0.9 9.3 25.8 0.2 0.0 0.0 0.0 1.7 10.7
#> 90 90 0.9 9.3 25.8 0.2 0.0 0.0 0.0 0.0 3.0
#> 91 91 0.9 9.3 25.8 0.2 0.0 0.0 0.0 0.0 3.0
#> 92 92 0.9 9.3 25.8 0.2 0.0 0.0 0.0 0.0 3.0
#> 93 93 0.9 9.3 25.8 0.2 0.0 0.0 0.0 0.0 3.0
#> 94 94 0.9 9.3 25.8 0.2 0.0 0.0 0.0 0.0 3.0
#> 95 95 0.9 9.3 25.8 0.2 0.0 0.0 0.0 0.0 0.0
#> 96 96 0.9 9.3 25.8 0.2 0.0 0.0 0.0 0.0 0.0
#> 97 97 0.9 9.3 25.8 0.2 0.0 0.0 0.0 0.0 0.0
#> 98 98 0.9 9.3 25.8 0.2 0.0 0.0 0.0 0.0 0.0
#> 99 99 0.9 9.3 25.8 0.2 0.0 0.0 0.0 0.0 0.0
#> 100 100 0.9 9.3 25.8 0.2 0.0 0.0 0.0 0.0 0.0
# Given a specific PPI score (from 0 - 100), get the row of poverty
# probabilities from PPI table it corresponds to
ppiScore <- 50
ppiBOL2015[ppiBOL2015$score == ppiScore, ]
#> score nl100 nl150 nl200 half100 ppp125 ppp200 ppp250 ppp500 ppp844
#> 50 50 1.2 11.4 34.6 0.2 2 4.7 8.5 40 72.7
# Use subset() function to get the row of poverty probabilities corresponding
# to specific PPI score
ppiScore <- 50
subset(ppiBOL2015, score == ppiScore)
#> score nl100 nl150 nl200 half100 ppp125 ppp200 ppp250 ppp500 ppp844
#> 50 50 1.2 11.4 34.6 0.2 2 4.7 8.5 40 72.7
# Given a specific PPI score (from 0 - 100), get a poverty probability
# based on a specific poverty definition. In this example, the food
# poverty line definition
ppiScore <- 50
ppiBOL2015[ppiBOL2015$score == ppiScore, "nl100"]
#> [1] 1.2