Poverty Probability Index (PPI) lookup table for Palestine
ppiPSE2014
A data frame with 11 columns and 101 rows:
scorePPI score
deepDeep poverty
nl100National poverty line (100%)
nl150National poverty line (150%)
nl200National poverty line (200%)
medianPoorest 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)
ppp375Below $3.75 per day purchasing power parity (2005)
ppp500Below $5.00 per day purchasing power parity (2005)
# Access Palestine PPI table ppiPSE2014#> score deep nl100 nl150 nl200 median ppp125 ppp200 ppp250 ppp375 ppp500 #> 0 0 100.0 100.0 100.0 100.0 100.0 2.0 26.5 26.5 100.0 100.0 #> 1 1 100.0 100.0 100.0 100.0 100.0 2.0 26.5 26.5 100.0 100.0 #> 2 2 100.0 100.0 100.0 100.0 100.0 2.0 26.5 26.5 100.0 100.0 #> 3 3 100.0 100.0 100.0 100.0 100.0 2.0 26.5 26.5 100.0 100.0 #> 4 4 100.0 100.0 100.0 100.0 100.0 2.0 26.5 26.5 100.0 100.0 #> 5 5 100.0 100.0 100.0 100.0 73.5 2.0 26.5 26.5 73.5 100.0 #> 6 6 100.0 100.0 100.0 100.0 73.5 2.0 26.5 26.5 73.5 100.0 #> 7 7 100.0 100.0 100.0 100.0 73.5 2.0 26.5 26.5 73.5 100.0 #> 8 8 100.0 100.0 100.0 100.0 73.5 2.0 26.5 26.5 73.5 100.0 #> 9 9 100.0 100.0 100.0 100.0 73.5 2.0 26.5 26.5 73.5 100.0 #> 10 10 72.5 94.2 97.1 99.1 59.3 2.0 9.0 13.7 53.1 93.5 #> 11 11 72.5 94.2 97.1 99.1 59.3 2.0 9.0 13.7 53.1 93.5 #> 12 12 72.5 94.2 97.1 99.1 59.3 2.0 9.0 13.7 53.1 93.5 #> 13 13 72.5 94.2 97.1 99.1 59.3 2.0 9.0 13.7 53.1 93.5 #> 14 14 72.5 94.2 97.1 99.1 59.3 2.0 9.0 13.7 53.1 93.5 #> 15 15 54.1 83.9 94.5 98.4 53.3 2.0 3.1 9.3 45.6 86.1 #> 16 16 54.1 83.9 94.5 98.4 53.3 2.0 3.1 9.3 45.6 86.1 #> 17 17 54.1 83.9 94.5 98.4 53.3 2.0 3.1 9.3 45.6 86.1 #> 18 18 54.1 83.9 94.5 98.4 53.3 2.0 3.1 9.3 45.6 86.1 #> 19 19 54.1 83.9 94.5 98.4 53.3 2.0 3.1 9.3 45.6 86.1 #> 20 20 46.8 74.1 94.5 98.4 52.3 1.4 2.9 9.3 45.0 71.7 #> 21 21 46.8 74.1 94.5 98.4 52.3 1.4 2.9 9.3 45.0 71.7 #> 22 22 46.8 74.1 94.5 98.4 52.3 1.4 2.9 9.3 45.0 71.7 #> 23 23 46.8 74.1 94.5 98.4 52.3 1.4 2.9 9.3 45.0 71.7 #> 24 24 46.8 74.1 94.5 98.4 52.3 1.4 2.9 9.3 45.0 71.7 #> 25 25 32.3 56.4 88.5 98.4 33.5 0.0 2.0 5.4 31.2 59.3 #> 26 26 32.3 56.4 88.5 98.4 33.5 0.0 2.0 5.4 31.2 59.3 #> 27 27 32.3 56.4 88.5 98.4 33.5 0.0 2.0 5.4 31.2 59.3 #> 28 28 32.3 56.4 88.5 98.4 33.5 0.0 2.0 5.4 31.2 59.3 #> 29 29 32.3 56.4 88.5 98.4 33.5 0.0 2.0 5.4 31.2 59.3 #> 30 30 27.8 48.1 82.3 96.5 27.4 0.0 1.1 3.7 24.9 50.4 #> 31 31 27.8 48.1 82.3 96.5 27.4 0.0 1.1 3.7 24.9 50.4 #> 32 32 27.8 48.1 82.3 96.5 27.4 0.0 1.1 3.7 24.9 50.4 #> 33 33 27.8 48.1 82.3 96.5 27.4 0.0 1.1 3.7 24.9 50.4 #> 34 34 27.8 48.1 82.3 96.5 27.4 0.0 1.1 3.7 24.9 50.4 #> 35 35 17.5 40.1 74.7 91.3 19.4 0.0 0.5 2.7 16.2 36.8 #> 36 36 17.5 40.1 74.7 91.3 19.4 0.0 0.5 2.7 16.2 36.8 #> 37 37 17.5 40.1 74.7 91.3 19.4 0.0 0.5 2.7 16.2 36.8 #> 38 38 17.5 40.1 74.7 91.3 19.4 0.0 0.5 2.7 16.2 36.8 #> 39 39 17.5 40.1 74.7 91.3 19.4 0.0 0.5 2.7 16.2 36.8 #> 40 40 11.3 32.0 70.1 86.0 10.3 0.0 0.1 1.1 7.3 25.5 #> 41 41 11.3 32.0 70.1 86.0 10.3 0.0 0.1 1.1 7.3 25.5 #> 42 42 11.3 32.0 70.1 86.0 10.3 0.0 0.1 1.1 7.3 25.5 #> 43 43 11.3 32.0 70.1 86.0 10.3 0.0 0.1 1.1 7.3 25.5 #> 44 44 11.3 32.0 70.1 86.0 10.3 0.0 0.1 1.1 7.3 25.5 #> 45 45 9.5 23.6 60.0 84.2 4.3 0.0 0.0 0.0 3.0 18.8 #> 46 46 9.5 23.6 60.0 84.2 4.3 0.0 0.0 0.0 3.0 18.8 #> 47 47 9.5 23.6 60.0 84.2 4.3 0.0 0.0 0.0 3.0 18.8 #> 48 48 9.5 23.6 60.0 84.2 4.3 0.0 0.0 0.0 3.0 18.8 #> 49 49 9.5 23.6 60.0 84.2 4.3 0.0 0.0 0.0 3.0 18.8 #> 50 50 2.0 8.4 42.7 71.1 1.3 0.0 0.0 0.0 0.8 7.2 #> 51 51 2.0 8.4 42.7 71.1 1.3 0.0 0.0 0.0 0.8 7.2 #> 52 52 2.0 8.4 42.7 71.1 1.3 0.0 0.0 0.0 0.8 7.2 #> 53 53 2.0 8.4 42.7 71.1 1.3 0.0 0.0 0.0 0.8 7.2 #> 54 54 2.0 8.4 42.7 71.1 1.3 0.0 0.0 0.0 0.8 7.2 #> 55 55 1.9 6.4 35.6 65.0 1.3 0.0 0.0 0.0 0.8 5.9 #> 56 56 1.9 6.4 35.6 65.0 1.3 0.0 0.0 0.0 0.8 5.9 #> 57 57 1.9 6.4 35.6 65.0 1.3 0.0 0.0 0.0 0.8 5.9 #> 58 58 1.9 6.4 35.6 65.0 1.3 0.0 0.0 0.0 0.8 5.9 #> 59 59 1.9 6.4 35.6 65.0 1.3 0.0 0.0 0.0 0.8 5.9 #> 60 60 0.5 3.0 24.6 47.0 0.4 0.0 0.0 0.0 0.3 2.0 #> 61 61 0.5 3.0 24.6 47.0 0.4 0.0 0.0 0.0 0.3 2.0 #> 62 62 0.5 3.0 24.6 47.0 0.4 0.0 0.0 0.0 0.3 2.0 #> 63 63 0.5 3.0 24.6 47.0 0.4 0.0 0.0 0.0 0.3 2.0 #> 64 64 0.5 3.0 24.6 47.0 0.4 0.0 0.0 0.0 0.3 2.0 #> 65 65 0.1 1.1 22.0 43.6 0.1 0.0 0.0 0.0 0.1 1.0 #> 66 66 0.1 1.1 22.0 43.6 0.1 0.0 0.0 0.0 0.1 1.0 #> 67 67 0.1 1.1 22.0 43.6 0.1 0.0 0.0 0.0 0.1 1.0 #> 68 68 0.1 1.1 22.0 43.6 0.1 0.0 0.0 0.0 0.1 1.0 #> 69 69 0.1 1.1 22.0 43.6 0.1 0.0 0.0 0.0 0.1 1.0 #> 70 70 0.1 1.1 14.2 34.2 0.1 0.0 0.0 0.0 0.1 0.8 #> 71 71 0.1 1.1 14.2 34.2 0.1 0.0 0.0 0.0 0.1 0.8 #> 72 72 0.1 1.1 14.2 34.2 0.1 0.0 0.0 0.0 0.1 0.8 #> 73 73 0.1 1.1 14.2 34.2 0.1 0.0 0.0 0.0 0.1 0.8 #> 74 74 0.1 1.1 14.2 34.2 0.1 0.0 0.0 0.0 0.1 0.8 #> 75 75 0.0 0.7 7.9 17.2 0.0 0.0 0.0 0.0 0.0 0.0 #> 76 76 0.0 0.7 7.9 17.2 0.0 0.0 0.0 0.0 0.0 0.0 #> 77 77 0.0 0.7 7.9 17.2 0.0 0.0 0.0 0.0 0.0 0.0 #> 78 78 0.0 0.7 7.9 17.2 0.0 0.0 0.0 0.0 0.0 0.0 #> 79 79 0.0 0.7 7.9 17.2 0.0 0.0 0.0 0.0 0.0 0.0 #> 80 80 0.0 0.0 4.2 8.7 0.0 0.0 0.0 0.0 0.0 0.0 #> 81 81 0.0 0.0 4.2 8.7 0.0 0.0 0.0 0.0 0.0 0.0 #> 82 82 0.0 0.0 4.2 8.7 0.0 0.0 0.0 0.0 0.0 0.0 #> 83 83 0.0 0.0 4.2 8.7 0.0 0.0 0.0 0.0 0.0 0.0 #> 84 84 0.0 0.0 4.2 8.7 0.0 0.0 0.0 0.0 0.0 0.0 #> 85 85 0.0 0.0 2.7 8.1 0.0 0.0 0.0 0.0 0.0 0.0 #> 86 86 0.0 0.0 2.7 8.1 0.0 0.0 0.0 0.0 0.0 0.0 #> 87 87 0.0 0.0 2.7 8.1 0.0 0.0 0.0 0.0 0.0 0.0 #> 88 88 0.0 0.0 2.7 8.1 0.0 0.0 0.0 0.0 0.0 0.0 #> 89 89 0.0 0.0 2.7 8.1 0.0 0.0 0.0 0.0 0.0 0.0 #> [ reached getOption("max.print") -- omitted 11 rows ]# Given a specific PPI score (from 0 - 100), get the row of poverty # probabilities from PPI table it corresponds to ppiScore <- 50 ppiPSE2014[ppiPSE2014$score == ppiScore, ]#> score deep nl100 nl150 nl200 median ppp125 ppp200 ppp250 ppp375 ppp500 #> 50 50 2 8.4 42.7 71.1 1.3 0 0 0 0.8 7.2# Use subset() function to get the row of poverty probabilities corresponding # to specific PPI score ppiScore <- 50 subset(ppiPSE2014, score == ppiScore)#> score deep nl100 nl150 nl200 median ppp125 ppp200 ppp250 ppp375 ppp500 #> 50 50 2 8.4 42.7 71.1 1.3 0 0 0 0.8 7.2# 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 ppiPSE2014[ppiPSE2014$score == ppiScore, "nl100"]#> [1] 8.4