Poverty Probability Index (PPI) lookup table for Afghanistan
ppiAFG2012
A data frame with 7 columns and 101 rows:
scorePPI score
nlNational poverty line
nu150National poverty line (150%)
nu200National poverty line (200%)
extremeUSAID extreme poverty
ppp125Below $1.25 per day purchasing power parity (2005)
ppp250Below $2.50 per day purchasing power parity (2005)
# Access Afghanistan PPI table ppiAFG2012#> score nl nu150 nu200 extreme ppp125 ppp250 #> 0 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 #> 2 2 100.0 100.0 100.0 100.0 100.0 100.0 #> 3 3 100.0 100.0 100.0 100.0 100.0 100.0 #> 4 4 100.0 100.0 100.0 100.0 100.0 100.0 #> 5 5 68.8 90.2 96.7 44.4 22.2 79.0 #> 6 6 68.8 90.2 96.7 44.4 22.2 79.0 #> 7 7 68.8 90.2 96.7 44.4 22.2 79.0 #> 8 8 68.8 90.2 96.7 44.4 22.2 79.0 #> 9 9 68.8 90.2 96.7 44.4 22.2 79.0 #> 10 10 66.1 89.5 96.5 39.2 19.5 82.8 #> 11 11 66.1 89.5 96.5 39.2 19.5 82.8 #> 12 12 66.1 89.5 96.5 39.2 19.5 82.8 #> 13 13 66.1 89.5 96.5 39.2 19.5 82.8 #> 14 14 66.1 89.5 96.5 39.2 19.5 82.8 #> 15 15 59.5 89.1 97.2 35.2 13.6 79.9 #> 16 16 59.5 89.1 97.2 35.2 13.6 79.9 #> 17 17 59.5 89.1 97.2 35.2 13.6 79.9 #> 18 18 59.5 89.1 97.2 35.2 13.6 79.9 #> 19 19 59.5 89.1 97.2 35.2 13.6 79.9 #> 20 20 51.3 85.5 96.4 28.8 10.7 72.5 #> 21 21 51.3 85.5 96.4 28.8 10.7 72.5 #> 22 22 51.3 85.5 96.4 28.8 10.7 72.5 #> 23 23 51.3 85.5 96.4 28.8 10.7 72.5 #> 24 24 51.3 85.5 96.4 28.8 10.7 72.5 #> 25 25 43.5 81.1 93.2 20.0 6.8 68.6 #> 26 26 43.5 81.1 93.2 20.0 6.8 68.6 #> 27 27 43.5 81.1 93.2 20.0 6.8 68.6 #> 28 28 43.5 81.1 93.2 20.0 6.8 68.6 #> 29 29 43.5 81.1 93.2 20.0 6.8 68.6 #> 30 30 31.9 74.5 90.4 13.6 3.6 57.3 #> 31 31 31.9 74.5 90.4 13.6 3.6 57.3 #> 32 32 31.9 74.5 90.4 13.6 3.6 57.3 #> 33 33 31.9 74.5 90.4 13.6 3.6 57.3 #> 34 34 31.9 74.5 90.4 13.6 3.6 57.3 #> 35 35 24.6 66.9 87.3 7.9 1.8 46.9 #> 36 36 24.6 66.9 87.3 7.9 1.8 46.9 #> 37 37 24.6 66.9 87.3 7.9 1.8 46.9 #> 38 38 24.6 66.9 87.3 7.9 1.8 46.9 #> 39 39 24.6 66.9 87.3 7.9 1.8 46.9 #> 40 40 15.2 58.0 82.8 4.5 0.5 35.8 #> 41 41 15.2 58.0 82.8 4.5 0.5 35.8 #> 42 42 15.2 58.0 82.8 4.5 0.5 35.8 #> 43 43 15.2 58.0 82.8 4.5 0.5 35.8 #> 44 44 15.2 58.0 82.8 4.5 0.5 35.8 #> 45 45 11.4 47.9 73.4 4.2 0.5 26.2 #> 46 46 11.4 47.9 73.4 4.2 0.5 26.2 #> 47 47 11.4 47.9 73.4 4.2 0.5 26.2 #> 48 48 11.4 47.9 73.4 4.2 0.5 26.2 #> 49 49 11.4 47.9 73.4 4.2 0.5 26.2 #> 50 50 6.0 37.2 68.4 2.6 0.9 19.3 #> 51 51 6.0 37.2 68.4 2.6 0.9 19.3 #> 52 52 6.0 37.2 68.4 2.6 0.9 19.3 #> 53 53 6.0 37.2 68.4 2.6 0.9 19.3 #> 54 54 6.0 37.2 68.4 2.6 0.9 19.3 #> 55 55 2.7 26.1 61.3 0.5 0.0 12.9 #> 56 56 2.7 26.1 61.3 0.5 0.0 12.9 #> 57 57 2.7 26.1 61.3 0.5 0.0 12.9 #> 58 58 2.7 26.1 61.3 0.5 0.0 12.9 #> 59 59 2.7 26.1 61.3 0.5 0.0 12.9 #> 60 60 0.9 21.0 50.4 0.5 0.0 7.1 #> 61 61 0.9 21.0 50.4 0.5 0.0 7.1 #> 62 62 0.9 21.0 50.4 0.5 0.0 7.1 #> 63 63 0.9 21.0 50.4 0.5 0.0 7.1 #> 64 64 0.9 21.0 50.4 0.5 0.0 7.1 #> 65 65 0.0 14.3 37.1 0.0 0.0 6.0 #> 66 66 0.0 14.3 37.1 0.0 0.0 6.0 #> 67 67 0.0 14.3 37.1 0.0 0.0 6.0 #> 68 68 0.0 14.3 37.1 0.0 0.0 6.0 #> 69 69 0.0 14.3 37.1 0.0 0.0 6.0 #> 70 70 3.0 14.3 29.2 0.0 0.0 6.7 #> 71 71 3.0 14.3 29.2 0.0 0.0 6.7 #> 72 72 3.0 14.3 29.2 0.0 0.0 6.7 #> 73 73 3.0 14.3 29.2 0.0 0.0 6.7 #> 74 74 3.0 14.3 29.2 0.0 0.0 6.7 #> 75 75 0.0 1.4 5.1 0.0 0.0 1.4 #> 76 76 0.0 1.4 5.1 0.0 0.0 1.4 #> 77 77 0.0 1.4 5.1 0.0 0.0 1.4 #> 78 78 0.0 1.4 5.1 0.0 0.0 1.4 #> 79 79 0.0 1.4 5.1 0.0 0.0 1.4 #> 80 80 0.0 0.0 9.5 0.0 0.0 0.0 #> 81 81 0.0 0.0 9.5 0.0 0.0 0.0 #> 82 82 0.0 0.0 9.5 0.0 0.0 0.0 #> 83 83 0.0 0.0 9.5 0.0 0.0 0.0 #> 84 84 0.0 0.0 9.5 0.0 0.0 0.0 #> 85 85 0.0 0.0 15.2 0.0 0.0 0.0 #> 86 86 0.0 0.0 15.2 0.0 0.0 0.0 #> 87 87 0.0 0.0 15.2 0.0 0.0 0.0 #> 88 88 0.0 0.0 15.2 0.0 0.0 0.0 #> 89 89 0.0 0.0 15.2 0.0 0.0 0.0 #> 90 90 0.0 0.0 0.0 0.0 0.0 0.0 #> 91 91 0.0 0.0 0.0 0.0 0.0 0.0 #> 92 92 0.0 0.0 0.0 0.0 0.0 0.0 #> 93 93 0.0 0.0 0.0 0.0 0.0 0.0 #> 94 94 0.0 0.0 0.0 0.0 0.0 0.0 #> 95 95 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 #> 97 97 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 #> 99 99 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# Given a specific PPI score (from 0 - 100), get the row of poverty # probabilities from PPI table it corresponds to ppiScore <- 50 ppiAFG2012[ppiAFG2012$score == ppiScore, ]#> score nl nu150 nu200 extreme ppp125 ppp250 #> 50 50 6 37.2 68.4 2.6 0.9 19.3# Use subset() function to get the row of poverty probabilities corresponding # to specific PPI score ppiScore <- 50 subset(ppiAFG2012, score == ppiScore)#> score nl nu150 nu200 extreme ppp125 ppp250 #> 50 50 6 37.2 68.4 2.6 0.9 19.3# Given a specific PPI score (from 0 - 100), get a poverty probability # based on a specific poverty definition. In this example, the USAID # extreme poverty definition ppiScore <- 50 ppiAFG2012[ppiAFG2012$score == ppiScore, "extreme"]#> [1] 2.6