Poverty Probability Index (PPI) lookup table for Syria
ppiSYR2010
A data frame with 8 columns and 101 rows:
scorePPI score
nu100National upper poverty line (100%)
nl100National lower poverty line (100%)
nu150National upper poverty line (150%)
nu200National upper poverty line (200%)
ppp250Below $2.50 per day purchasing power parity (2005)
ppp375Below $3.75 per day purchasing power parity (2005)
ppp500Below $5.00 per day purchasing power parity (2005)
# Access Syria PPI table ppiSYR2010#> score nu100 nl100 nu150 nu200 ppp250 ppp375 ppp500 #> 0 0 59.3 42.9 92.8 100.0 33.5 59.3 92.8 #> 1 1 59.3 42.9 92.8 100.0 33.5 59.3 92.8 #> 2 2 59.3 42.9 92.8 100.0 33.5 59.3 92.8 #> 3 3 59.3 42.9 92.8 100.0 33.5 59.3 92.8 #> 4 4 59.3 42.9 92.8 100.0 33.5 59.3 92.8 #> 5 5 72.2 43.8 100.0 100.0 24.4 76.2 100.0 #> 6 6 72.2 43.8 100.0 100.0 24.4 76.2 100.0 #> 7 7 72.2 43.8 100.0 100.0 24.4 76.2 100.0 #> 8 8 72.2 43.8 100.0 100.0 24.4 76.2 100.0 #> 9 9 72.2 43.8 100.0 100.0 24.4 76.2 100.0 #> 10 10 39.6 20.8 75.8 93.7 16.5 39.6 85.7 #> 11 11 39.6 20.8 75.8 93.7 16.5 39.6 85.7 #> 12 12 39.6 20.8 75.8 93.7 16.5 39.6 85.7 #> 13 13 39.6 20.8 75.8 93.7 16.5 39.6 85.7 #> 14 14 39.6 20.8 75.8 93.7 16.5 39.6 85.7 #> 15 15 54.3 30.7 82.8 96.3 19.4 55.3 89.8 #> 16 16 54.3 30.7 82.8 96.3 19.4 55.3 89.8 #> 17 17 54.3 30.7 82.8 96.3 19.4 55.3 89.8 #> 18 18 54.3 30.7 82.8 96.3 19.4 55.3 89.8 #> 19 19 54.3 30.7 82.8 96.3 19.4 55.3 89.8 #> 20 20 51.2 23.4 85.2 95.0 15.4 54.2 91.0 #> 21 21 51.2 23.4 85.2 95.0 15.4 54.2 91.0 #> 22 22 51.2 23.4 85.2 95.0 15.4 54.2 91.0 #> 23 23 51.2 23.4 85.2 95.0 15.4 54.2 91.0 #> 24 24 51.2 23.4 85.2 95.0 15.4 54.2 91.0 #> 25 25 45.5 15.5 81.9 93.9 9.0 48.0 88.9 #> 26 26 45.5 15.5 81.9 93.9 9.0 48.0 88.9 #> 27 27 45.5 15.5 81.9 93.9 9.0 48.0 88.9 #> 28 28 45.5 15.5 81.9 93.9 9.0 48.0 88.9 #> 29 29 45.5 15.5 81.9 93.9 9.0 48.0 88.9 #> 30 30 41.0 8.8 79.5 89.8 6.7 42.9 84.5 #> 31 31 41.0 8.8 79.5 89.8 6.7 42.9 84.5 #> 32 32 41.0 8.8 79.5 89.8 6.7 42.9 84.5 #> 33 33 41.0 8.8 79.5 89.8 6.7 42.9 84.5 #> 34 34 41.0 8.8 79.5 89.8 6.7 42.9 84.5 #> 35 35 30.3 8.5 70.1 85.2 6.0 32.0 78.5 #> 36 36 30.3 8.5 70.1 85.2 6.0 32.0 78.5 #> 37 37 30.3 8.5 70.1 85.2 6.0 32.0 78.5 #> 38 38 30.3 8.5 70.1 85.2 6.0 32.0 78.5 #> 39 39 30.3 8.5 70.1 85.2 6.0 32.0 78.5 #> 40 40 21.7 2.8 62.8 81.8 2.3 23.8 73.7 #> 41 41 21.7 2.8 62.8 81.8 2.3 23.8 73.7 #> 42 42 21.7 2.8 62.8 81.8 2.3 23.8 73.7 #> 43 43 21.7 2.8 62.8 81.8 2.3 23.8 73.7 #> 44 44 21.7 2.8 62.8 81.8 2.3 23.8 73.7 #> 45 45 13.4 1.7 49.2 72.3 0.9 13.6 60.4 #> 46 46 13.4 1.7 49.2 72.3 0.9 13.6 60.4 #> 47 47 13.4 1.7 49.2 72.3 0.9 13.6 60.4 #> 48 48 13.4 1.7 49.2 72.3 0.9 13.6 60.4 #> 49 49 13.4 1.7 49.2 72.3 0.9 13.6 60.4 #> 50 50 9.2 0.8 32.8 62.6 0.5 10.3 46.0 #> 51 51 9.2 0.8 32.8 62.6 0.5 10.3 46.0 #> 52 52 9.2 0.8 32.8 62.6 0.5 10.3 46.0 #> 53 53 9.2 0.8 32.8 62.6 0.5 10.3 46.0 #> 54 54 9.2 0.8 32.8 62.6 0.5 10.3 46.0 #> 55 55 2.0 0.4 21.3 48.8 0.4 2.0 32.1 #> 56 56 2.0 0.4 21.3 48.8 0.4 2.0 32.1 #> 57 57 2.0 0.4 21.3 48.8 0.4 2.0 32.1 #> 58 58 2.0 0.4 21.3 48.8 0.4 2.0 32.1 #> 59 59 2.0 0.4 21.3 48.8 0.4 2.0 32.1 #> 60 60 2.1 0.0 11.2 37.6 0.0 2.1 21.4 #> 61 61 2.1 0.0 11.2 37.6 0.0 2.1 21.4 #> 62 62 2.1 0.0 11.2 37.6 0.0 2.1 21.4 #> 63 63 2.1 0.0 11.2 37.6 0.0 2.1 21.4 #> 64 64 2.1 0.0 11.2 37.6 0.0 2.1 21.4 #> 65 65 2.3 0.0 6.3 27.3 0.0 2.3 12.1 #> 66 66 2.3 0.0 6.3 27.3 0.0 2.3 12.1 #> 67 67 2.3 0.0 6.3 27.3 0.0 2.3 12.1 #> 68 68 2.3 0.0 6.3 27.3 0.0 2.3 12.1 #> 69 69 2.3 0.0 6.3 27.3 0.0 2.3 12.1 #> 70 70 0.0 0.0 5.2 19.0 0.0 0.0 8.6 #> 71 71 0.0 0.0 5.2 19.0 0.0 0.0 8.6 #> 72 72 0.0 0.0 5.2 19.0 0.0 0.0 8.6 #> 73 73 0.0 0.0 5.2 19.0 0.0 0.0 8.6 #> 74 74 0.0 0.0 5.2 19.0 0.0 0.0 8.6 #> 75 75 0.0 0.0 7.6 29.0 0.0 0.0 22.6 #> 76 76 0.0 0.0 7.6 29.0 0.0 0.0 22.6 #> 77 77 0.0 0.0 7.6 29.0 0.0 0.0 22.6 #> 78 78 0.0 0.0 7.6 29.0 0.0 0.0 22.6 #> 79 79 0.0 0.0 7.6 29.0 0.0 0.0 22.6 #> 80 80 0.0 0.0 0.0 5.1 0.0 0.0 0.0 #> 81 81 0.0 0.0 0.0 5.1 0.0 0.0 0.0 #> 82 82 0.0 0.0 0.0 5.1 0.0 0.0 0.0 #> 83 83 0.0 0.0 0.0 5.1 0.0 0.0 0.0 #> 84 84 0.0 0.0 0.0 5.1 0.0 0.0 0.0 #> 85 85 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 86 86 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 87 87 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 88 88 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 89 89 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 90 90 0.0 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 0.0 #> 92 92 0.0 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 0.0 #> 94 94 0.0 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 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 ppiSYR2010[ppiSYR2010$score == ppiScore, ]#> score nu100 nl100 nu150 nu200 ppp250 ppp375 ppp500 #> 50 50 9.2 0.8 32.8 62.6 0.5 10.3 46# Use subset() function to get the row of poverty probabilities corresponding # to specific PPI score ppiScore <- 50 subset(ppiSYR2010, score == ppiScore)#> score nu100 nl100 nu150 nu200 ppp250 ppp375 ppp500 #> 50 50 9.2 0.8 32.8 62.6 0.5 10.3 46# 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 ppiSYR2010[ppiSYR2010$score == ppiScore, "nl100"]#> [1] 0.8