Poverty Probability Index (PPI) lookup table for Cambodia
Format
A data frame with 9 columns and 101 rows:
scorePPI score
nl100National poverty line (100%)
nl150National poverty line (150%)
nl200National poverty line (200%)
medianMedian poverty line
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)
ppp500Below $5.00 per day purchasing power parity (2005)
Examples
# Access Cambodia PPI table
ppiKHM2015_gov
#> score nl100 nl150 nl200 median ppp125 ppp200 ppp250 ppp500
#> 0 0 100.0 100.0 100.0 55.8 41.4 100.0 100.0 100.0
#> 1 1 100.0 100.0 100.0 55.8 41.4 100.0 100.0 100.0
#> 2 2 100.0 100.0 100.0 55.8 41.4 100.0 100.0 100.0
#> 3 3 100.0 100.0 100.0 55.8 41.4 100.0 100.0 100.0
#> 4 4 100.0 100.0 100.0 55.8 41.4 100.0 100.0 100.0
#> 5 5 91.9 97.8 100.0 55.8 41.4 91.9 95.4 100.0
#> 6 6 91.9 97.8 100.0 55.8 41.4 91.9 95.4 100.0
#> 7 7 91.9 97.8 100.0 55.8 41.4 91.9 95.4 100.0
#> 8 8 91.9 97.8 100.0 55.8 41.4 91.9 95.4 100.0
#> 9 9 91.9 97.8 100.0 55.8 41.4 91.9 95.4 100.0
#> 10 10 74.5 95.8 100.0 55.8 26.4 80.8 91.3 100.0
#> 11 11 74.5 95.8 100.0 55.8 26.4 80.8 91.3 100.0
#> 12 12 74.5 95.8 100.0 55.8 26.4 80.8 91.3 100.0
#> 13 13 74.5 95.8 100.0 55.8 26.4 80.8 91.3 100.0
#> 14 14 74.5 95.8 100.0 55.8 26.4 80.8 91.3 100.0
#> 15 15 59.8 95.8 100.0 31.7 11.8 64.3 88.0 100.0
#> 16 16 59.8 95.8 100.0 31.7 11.8 64.3 88.0 100.0
#> 17 17 59.8 95.8 100.0 31.7 11.8 64.3 88.0 100.0
#> 18 18 59.8 95.8 100.0 31.7 11.8 64.3 88.0 100.0
#> 19 19 59.8 95.8 100.0 31.7 11.8 64.3 88.0 100.0
#> 20 20 50.5 94.8 100.0 25.8 10.0 59.7 87.3 100.0
#> 21 21 50.5 94.8 100.0 25.8 10.0 59.7 87.3 100.0
#> 22 22 50.5 94.8 100.0 25.8 10.0 59.7 87.3 100.0
#> 23 23 50.5 94.8 100.0 25.8 10.0 59.7 87.3 100.0
#> 24 24 50.5 94.8 100.0 25.8 10.0 59.7 87.3 100.0
#> 25 25 41.4 87.3 96.0 23.1 9.6 54.9 80.3 99.7
#> 26 26 41.4 87.3 96.0 23.1 9.6 54.9 80.3 99.7
#> 27 27 41.4 87.3 96.0 23.1 9.6 54.9 80.3 99.7
#> 28 28 41.4 87.3 96.0 23.1 9.6 54.9 80.3 99.7
#> 29 29 41.4 87.3 96.0 23.1 9.6 54.9 80.3 99.7
#> 30 30 29.7 80.5 95.1 15.1 6.3 38.4 75.1 98.5
#> 31 31 29.7 80.5 95.1 15.1 6.3 38.4 75.1 98.5
#> 32 32 29.7 80.5 95.1 15.1 6.3 38.4 75.1 98.5
#> 33 33 29.7 80.5 95.1 15.1 6.3 38.4 75.1 98.5
#> 34 34 29.7 80.5 95.1 15.1 6.3 38.4 75.1 98.5
#> 35 35 21.0 66.4 92.3 8.0 1.0 27.3 58.3 97.6
#> 36 36 21.0 66.4 92.3 8.0 1.0 27.3 58.3 97.6
#> 37 37 21.0 66.4 92.3 8.0 1.0 27.3 58.3 97.6
#> 38 38 21.0 66.4 92.3 8.0 1.0 27.3 58.3 97.6
#> 39 39 21.0 66.4 92.3 8.0 1.0 27.3 58.3 97.6
#> 40 40 9.3 54.0 86.5 3.2 0.7 16.1 44.8 96.7
#> 41 41 9.3 54.0 86.5 3.2 0.7 16.1 44.8 96.7
#> 42 42 9.3 54.0 86.5 3.2 0.7 16.1 44.8 96.7
#> 43 43 9.3 54.0 86.5 3.2 0.7 16.1 44.8 96.7
#> 44 44 9.3 54.0 86.5 3.2 0.7 16.1 44.8 96.7
#> 45 45 7.9 41.6 75.0 2.3 0.3 10.9 31.1 93.5
#> 46 46 7.9 41.6 75.0 2.3 0.3 10.9 31.1 93.5
#> 47 47 7.9 41.6 75.0 2.3 0.3 10.9 31.1 93.5
#> 48 48 7.9 41.6 75.0 2.3 0.3 10.9 31.1 93.5
#> 49 49 7.9 41.6 75.0 2.3 0.3 10.9 31.1 93.5
#> 50 50 4.7 35.8 68.9 2.0 0.1 8.1 25.2 90.6
#> 51 51 4.7 35.8 68.9 2.0 0.1 8.1 25.2 90.6
#> 52 52 4.7 35.8 68.9 2.0 0.1 8.1 25.2 90.6
#> 53 53 4.7 35.8 68.9 2.0 0.1 8.1 25.2 90.6
#> 54 54 4.7 35.8 68.9 2.0 0.1 8.1 25.2 90.6
#> 55 55 3.2 24.1 54.2 0.5 0.1 5.1 16.5 82.8
#> 56 56 3.2 24.1 54.2 0.5 0.1 5.1 16.5 82.8
#> 57 57 3.2 24.1 54.2 0.5 0.1 5.1 16.5 82.8
#> 58 58 3.2 24.1 54.2 0.5 0.1 5.1 16.5 82.8
#> 59 59 3.2 24.1 54.2 0.5 0.1 5.1 16.5 82.8
#> 60 60 1.3 17.5 49.6 0.5 0.0 1.9 7.9 78.9
#> 61 61 1.3 17.5 49.6 0.5 0.0 1.9 7.9 78.9
#> 62 62 1.3 17.5 49.6 0.5 0.0 1.9 7.9 78.9
#> 63 63 1.3 17.5 49.6 0.5 0.0 1.9 7.9 78.9
#> 64 64 1.3 17.5 49.6 0.5 0.0 1.9 7.9 78.9
#> 65 65 1.1 9.3 34.4 0.4 0.0 1.6 6.3 68.8
#> 66 66 1.1 9.3 34.4 0.4 0.0 1.6 6.3 68.8
#> 67 67 1.1 9.3 34.4 0.4 0.0 1.6 6.3 68.8
#> 68 68 1.1 9.3 34.4 0.4 0.0 1.6 6.3 68.8
#> 69 69 1.1 9.3 34.4 0.4 0.0 1.6 6.3 68.8
#> 70 70 0.0 4.2 18.7 0.0 0.0 0.0 0.6 51.7
#> 71 71 0.0 4.2 18.7 0.0 0.0 0.0 0.6 51.7
#> 72 72 0.0 4.2 18.7 0.0 0.0 0.0 0.6 51.7
#> 73 73 0.0 4.2 18.7 0.0 0.0 0.0 0.6 51.7
#> 74 74 0.0 4.2 18.7 0.0 0.0 0.0 0.6 51.7
#> 75 75 0.0 1.1 12.2 0.0 0.0 0.0 0.0 50.8
#> 76 76 0.0 1.1 12.2 0.0 0.0 0.0 0.0 50.8
#> 77 77 0.0 1.1 12.2 0.0 0.0 0.0 0.0 50.8
#> 78 78 0.0 1.1 12.2 0.0 0.0 0.0 0.0 50.8
#> 79 79 0.0 1.1 12.2 0.0 0.0 0.0 0.0 50.8
#> 80 80 0.0 0.0 9.2 0.0 0.0 0.0 0.0 45.4
#> 81 81 0.0 0.0 9.2 0.0 0.0 0.0 0.0 45.4
#> 82 82 0.0 0.0 9.2 0.0 0.0 0.0 0.0 45.4
#> 83 83 0.0 0.0 9.2 0.0 0.0 0.0 0.0 45.4
#> 84 84 0.0 0.0 9.2 0.0 0.0 0.0 0.0 45.4
#> 85 85 0.0 0.0 8.8 0.0 0.0 0.0 0.0 33.8
#> 86 86 0.0 0.0 8.8 0.0 0.0 0.0 0.0 33.8
#> 87 87 0.0 0.0 8.8 0.0 0.0 0.0 0.0 33.8
#> 88 88 0.0 0.0 8.8 0.0 0.0 0.0 0.0 33.8
#> 89 89 0.0 0.0 8.8 0.0 0.0 0.0 0.0 33.8
#> 90 90 0.0 0.0 6.8 0.0 0.0 0.0 0.0 29.1
#> 91 91 0.0 0.0 6.8 0.0 0.0 0.0 0.0 29.1
#> 92 92 0.0 0.0 6.8 0.0 0.0 0.0 0.0 29.1
#> 93 93 0.0 0.0 6.8 0.0 0.0 0.0 0.0 29.1
#> 94 94 0.0 0.0 6.8 0.0 0.0 0.0 0.0 29.1
#> 95 95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 29.1
#> 96 96 0.0 0.0 0.0 0.0 0.0 0.0 0.0 29.1
#> 97 97 0.0 0.0 0.0 0.0 0.0 0.0 0.0 29.1
#> 98 98 0.0 0.0 0.0 0.0 0.0 0.0 0.0 29.1
#> 99 99 0.0 0.0 0.0 0.0 0.0 0.0 0.0 29.1
#> 100 100 0.0 0.0 0.0 0.0 0.0 0.0 0.0 29.1
# Given a specific PPI score (from 0 - 100), get the row of poverty
# probabilities from PPI table it corresponds to
ppiScore <- 50
ppiKHM2015_gov[ppiKHM2015_gov$score == ppiScore, ]
#> score nl100 nl150 nl200 median ppp125 ppp200 ppp250 ppp500
#> 50 50 4.7 35.8 68.9 2 0.1 8.1 25.2 90.6
# Use subset() function to get the row of poverty probabilities corresponding
# to specific PPI score
ppiScore <- 50
subset(ppiKHM2015_gov, score == ppiScore)
#> score nl100 nl150 nl200 median ppp125 ppp200 ppp250 ppp500
#> 50 50 4.7 35.8 68.9 2 0.1 8.1 25.2 90.6
# 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
ppiKHM2015_gov[ppiKHM2015_gov$score == ppiScore, "nl100"]
#> [1] 4.7