Poverty Probability Index (PPI) lookup table for Sierra Leone
ppiSLE2011
A data frame with 8 columns and 101 rows:
scorePPI score
nl100National poverty line (100%)
nlFoodFood poverty line
nl75National poverty line (75%)
nl150National poverty line (150%)
extremeUSAID extreme poverty
ppp125Below $1.25 per day purchasing power parity (2005)
ppp250Below $2.50 per day purchasing power parity (2005)
# Access Sierra Leone PPI table ppiSLE2011#> score nl100 nlFood nl75 nl150 extreme ppp125 ppp250 #> 0 0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 #> 1 1 100.0 100.0 100.0 100.0 100.0 100.0 100.0 #> 2 2 100.0 100.0 100.0 100.0 100.0 100.0 100.0 #> 3 3 100.0 100.0 100.0 100.0 100.0 100.0 100.0 #> 4 4 100.0 100.0 100.0 100.0 100.0 100.0 100.0 #> 5 5 100.0 100.0 100.0 100.0 100.0 100.0 100.0 #> 6 6 100.0 100.0 100.0 100.0 100.0 100.0 100.0 #> 7 7 100.0 100.0 100.0 100.0 100.0 100.0 100.0 #> 8 8 100.0 100.0 100.0 100.0 100.0 100.0 100.0 #> 9 9 100.0 100.0 100.0 100.0 100.0 100.0 100.0 #> 10 10 100.0 100.0 100.0 100.0 100.0 100.0 100.0 #> 11 11 100.0 100.0 100.0 100.0 100.0 100.0 100.0 #> 12 12 100.0 100.0 100.0 100.0 100.0 100.0 100.0 #> 13 13 100.0 100.0 100.0 100.0 100.0 100.0 100.0 #> 14 14 100.0 100.0 100.0 100.0 100.0 100.0 100.0 #> 15 15 97.3 47.3 88.5 97.3 80.5 88.5 97.3 #> 16 16 97.3 47.3 88.5 97.3 80.5 88.5 97.3 #> 17 17 97.3 47.3 88.5 97.3 80.5 88.5 97.3 #> 18 18 97.3 47.3 88.5 97.3 80.5 88.5 97.3 #> 19 19 97.3 47.3 88.5 97.3 80.5 88.5 97.3 #> 20 20 97.6 45.2 82.9 99.4 61.6 85.8 99.4 #> 21 21 97.6 45.2 82.9 99.4 61.6 85.8 99.4 #> 22 22 97.6 45.2 82.9 99.4 61.6 85.8 99.4 #> 23 23 97.6 45.2 82.9 99.4 61.6 85.8 99.4 #> 24 24 97.6 45.2 82.9 99.4 61.6 85.8 99.4 #> 25 25 98.6 48.0 90.3 99.3 62.3 91.2 99.3 #> 26 26 98.6 48.0 90.3 99.3 62.3 91.2 99.3 #> 27 27 98.6 48.0 90.3 99.3 62.3 91.2 99.3 #> 28 28 98.6 48.0 90.3 99.3 62.3 91.2 99.3 #> 29 29 98.6 48.0 90.3 99.3 62.3 91.2 99.3 #> 30 30 90.5 33.1 69.2 98.9 45.1 74.4 98.9 #> 31 31 90.5 33.1 69.2 98.9 45.1 74.4 98.9 #> 32 32 90.5 33.1 69.2 98.9 45.1 74.4 98.9 #> 33 33 90.5 33.1 69.2 98.9 45.1 74.4 98.9 #> 34 34 90.5 33.1 69.2 98.9 45.1 74.4 98.9 #> 35 35 85.2 35.1 70.3 93.8 48.4 69.0 94.3 #> 36 36 85.2 35.1 70.3 93.8 48.4 69.0 94.3 #> 37 37 85.2 35.1 70.3 93.8 48.4 69.0 94.3 #> 38 38 85.2 35.1 70.3 93.8 48.4 69.0 94.3 #> 39 39 85.2 35.1 70.3 93.8 48.4 69.0 94.3 #> 40 40 81.3 25.3 58.2 96.0 36.8 62.4 96.2 #> 41 41 81.3 25.3 58.2 96.0 36.8 62.4 96.2 #> 42 42 81.3 25.3 58.2 96.0 36.8 62.4 96.2 #> 43 43 81.3 25.3 58.2 96.0 36.8 62.4 96.2 #> 44 44 81.3 25.3 58.2 96.0 36.8 62.4 96.2 #> 45 45 74.1 16.9 47.6 96.4 27.2 51.5 96.9 #> 46 46 74.1 16.9 47.6 96.4 27.2 51.5 96.9 #> 47 47 74.1 16.9 47.6 96.4 27.2 51.5 96.9 #> 48 48 74.1 16.9 47.6 96.4 27.2 51.5 96.9 #> 49 49 74.1 16.9 47.6 96.4 27.2 51.5 96.9 #> 50 50 57.3 12.8 36.5 89.0 17.7 36.9 88.2 #> 51 51 57.3 12.8 36.5 89.0 17.7 36.9 88.2 #> 52 52 57.3 12.8 36.5 89.0 17.7 36.9 88.2 #> 53 53 57.3 12.8 36.5 89.0 17.7 36.9 88.2 #> 54 54 57.3 12.8 36.5 89.0 17.7 36.9 88.2 #> 55 55 45.0 5.8 28.2 71.5 14.9 27.5 77.7 #> 56 56 45.0 5.8 28.2 71.5 14.9 27.5 77.7 #> 57 57 45.0 5.8 28.2 71.5 14.9 27.5 77.7 #> 58 58 45.0 5.8 28.2 71.5 14.9 27.5 77.7 #> 59 59 45.0 5.8 28.2 71.5 14.9 27.5 77.7 #> 60 60 28.2 1.4 13.8 70.7 7.5 13.8 80.8 #> 61 61 28.2 1.4 13.8 70.7 7.5 13.8 80.8 #> 62 62 28.2 1.4 13.8 70.7 7.5 13.8 80.8 #> 63 63 28.2 1.4 13.8 70.7 7.5 13.8 80.8 #> 64 64 28.2 1.4 13.8 70.7 7.5 13.8 80.8 #> 65 65 21.3 1.5 9.9 51.5 5.6 9.6 57.6 #> 66 66 21.3 1.5 9.9 51.5 5.6 9.6 57.6 #> 67 67 21.3 1.5 9.9 51.5 5.6 9.6 57.6 #> 68 68 21.3 1.5 9.9 51.5 5.6 9.6 57.6 #> 69 69 21.3 1.5 9.9 51.5 5.6 9.6 57.6 #> 70 70 15.4 0.8 3.1 50.6 2.6 3.1 43.4 #> 71 71 15.4 0.8 3.1 50.6 2.6 3.1 43.4 #> 72 72 15.4 0.8 3.1 50.6 2.6 3.1 43.4 #> 73 73 15.4 0.8 3.1 50.6 2.6 3.1 43.4 #> 74 74 15.4 0.8 3.1 50.6 2.6 3.1 43.4 #> 75 75 10.5 0.0 8.9 30.5 8.9 8.9 29.2 #> 76 76 10.5 0.0 8.9 30.5 8.9 8.9 29.2 #> 77 77 10.5 0.0 8.9 30.5 8.9 8.9 29.2 #> 78 78 10.5 0.0 8.9 30.5 8.9 8.9 29.2 #> 79 79 10.5 0.0 8.9 30.5 8.9 8.9 29.2 #> 80 80 4.1 0.0 1.9 36.1 1.9 1.9 19.7 #> 81 81 4.1 0.0 1.9 36.1 1.9 1.9 19.7 #> 82 82 4.1 0.0 1.9 36.1 1.9 1.9 19.7 #> 83 83 4.1 0.0 1.9 36.1 1.9 1.9 19.7 #> 84 84 4.1 0.0 1.9 36.1 1.9 1.9 19.7 #> 85 85 0.0 0.0 0.0 10.4 0.0 0.0 10.4 #> 86 86 0.0 0.0 0.0 10.4 0.0 0.0 10.4 #> 87 87 0.0 0.0 0.0 10.4 0.0 0.0 10.4 #> 88 88 0.0 0.0 0.0 10.4 0.0 0.0 10.4 #> 89 89 0.0 0.0 0.0 10.4 0.0 0.0 10.4 #> 90 90 0.0 0.0 0.0 18.3 0.0 0.0 16.1 #> 91 91 0.0 0.0 0.0 18.3 0.0 0.0 16.1 #> 92 92 0.0 0.0 0.0 18.3 0.0 0.0 16.1 #> 93 93 0.0 0.0 0.0 18.3 0.0 0.0 16.1 #> 94 94 0.0 0.0 0.0 18.3 0.0 0.0 16.1 #> 95 95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 96 96 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 97 97 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 98 98 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 99 99 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 100 100 0.0 0.0 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 ppiSLE2011[ppiSLE2011$score == ppiScore, ]#> score nl100 nlFood nl75 nl150 extreme ppp125 ppp250 #> 50 50 57.3 12.8 36.5 89 17.7 36.9 88.2# Use subset() function to get the row of poverty probabilities corresponding # to specific PPI score ppiScore <- 50 subset(ppiSLE2011, score == ppiScore)#> score nl100 nlFood nl75 nl150 extreme ppp125 ppp250 #> 50 50 57.3 12.8 36.5 89 17.7 36.9 88.2# Given a specific PPI score (from 0 - 100), get a poverty probability # based on a specific poverty definition. In this example, the national # poverty line definition ppiScore <- 50 ppiSLE2011[ppiSLE2011$score == ppiScore, "nl100"]#> [1] 57.3