Poverty Probability Index (PPI) lookup table for Syria
Format
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)
Examples
# 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