Poverty Probability Index (PPI) lookup table for Palestine
Format
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)
Examples
# 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
#> 90 90 0.0 0.0 0.0 6.0 0.0 0.0 0.0 0.0 0.0 0.0
#> 91 91 0.0 0.0 0.0 6.0 0.0 0.0 0.0 0.0 0.0 0.0
#> 92 92 0.0 0.0 0.0 6.0 0.0 0.0 0.0 0.0 0.0 0.0
#> 93 93 0.0 0.0 0.0 6.0 0.0 0.0 0.0 0.0 0.0 0.0
#> 94 94 0.0 0.0 0.0 6.0 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 0.0 0.0 0.0
#> 96 96 0.0 0.0 0.0 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 0.0 0.0 0.0
#> 98 98 0.0 0.0 0.0 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 0.0 0.0 0.0
#> 100 100 0.0 0.0 0.0 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
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