Poverty Probability Index (PPI) lookup table for Haiti
Format
A data frame with 10 columns and 101 rows:
scorePPI score
nlFoodFood poverty line
nl100National poverty line (100%)
nl150National poverty line (150%)
nl200National poverty line (200%)
half100Poorest 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)
ppp500Below $5.00 per day purchasing power parity (2005)
Examples
# Access Haiti PPI table
ppiHTI2016
#> score nlFood nl100 nl150 nl200 half100 ppp125 ppp200 ppp250 ppp500
#> 0 0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
#> 1 1 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
#> 2 2 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
#> 3 3 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
#> 4 4 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
#> 5 5 87.4 100.0 100.0 100.0 83.7 87.4 100.0 100.0 100.0
#> 6 6 87.4 100.0 100.0 100.0 83.7 87.4 100.0 100.0 100.0
#> 7 7 87.4 100.0 100.0 100.0 83.7 87.4 100.0 100.0 100.0
#> 8 8 87.4 100.0 100.0 100.0 83.7 87.4 100.0 100.0 100.0
#> 9 9 87.4 100.0 100.0 100.0 83.7 87.4 100.0 100.0 100.0
#> 10 10 83.8 97.3 99.7 100.0 83.3 85.5 97.3 97.3 100.0
#> 11 11 83.8 97.3 99.7 100.0 83.3 85.5 97.3 97.3 100.0
#> 12 12 83.8 97.3 99.7 100.0 83.3 85.5 97.3 97.3 100.0
#> 13 13 83.8 97.3 99.7 100.0 83.3 85.5 97.3 97.3 100.0
#> 14 14 83.8 97.3 99.7 100.0 83.3 85.5 97.3 97.3 100.0
#> 15 15 62.9 95.8 99.4 100.0 69.9 70.3 93.8 96.8 100.0
#> 16 16 62.9 95.8 99.4 100.0 69.9 70.3 93.8 96.8 100.0
#> 17 17 62.9 95.8 99.4 100.0 69.9 70.3 93.8 96.8 100.0
#> 18 18 62.9 95.8 99.4 100.0 69.9 70.3 93.8 96.8 100.0
#> 19 19 62.9 95.8 99.4 100.0 69.9 70.3 93.8 96.8 100.0
#> 20 20 56.5 94.4 99.4 99.8 61.6 61.4 88.4 96.6 99.8
#> 21 21 56.5 94.4 99.4 99.8 61.6 61.4 88.4 96.6 99.8
#> 22 22 56.5 94.4 99.4 99.8 61.6 61.4 88.4 96.6 99.8
#> 23 23 56.5 94.4 99.4 99.8 61.6 61.4 88.4 96.6 99.8
#> 24 24 56.5 94.4 99.4 99.8 61.6 61.4 88.4 96.6 99.8
#> 25 25 51.5 94.0 98.8 99.6 55.2 54.0 87.9 96.6 99.6
#> 26 26 51.5 94.0 98.8 99.6 55.2 54.0 87.9 96.6 99.6
#> 27 27 51.5 94.0 98.8 99.6 55.2 54.0 87.9 96.6 99.6
#> 28 28 51.5 94.0 98.8 99.6 55.2 54.0 87.9 96.6 99.6
#> 29 29 51.5 94.0 98.8 99.6 55.2 54.0 87.9 96.6 99.6
#> 30 30 32.8 83.6 95.5 98.7 38.8 35.6 72.0 86.8 99.1
#> 31 31 32.8 83.6 95.5 98.7 38.8 35.6 72.0 86.8 99.1
#> 32 32 32.8 83.6 95.5 98.7 38.8 35.6 72.0 86.8 99.1
#> 33 33 32.8 83.6 95.5 98.7 38.8 35.6 72.0 86.8 99.1
#> 34 34 32.8 83.6 95.5 98.7 38.8 35.6 72.0 86.8 99.1
#> 35 35 22.0 76.5 93.8 98.1 32.3 27.3 62.0 79.8 99.1
#> 36 36 22.0 76.5 93.8 98.1 32.3 27.3 62.0 79.8 99.1
#> 37 37 22.0 76.5 93.8 98.1 32.3 27.3 62.0 79.8 99.1
#> 38 38 22.0 76.5 93.8 98.1 32.3 27.3 62.0 79.8 99.1
#> 39 39 22.0 76.5 93.8 98.1 32.3 27.3 62.0 79.8 99.1
#> 40 40 13.7 62.7 90.7 96.3 20.2 15.9 47.6 69.7 97.9
#> 41 41 13.7 62.7 90.7 96.3 20.2 15.9 47.6 69.7 97.9
#> 42 42 13.7 62.7 90.7 96.3 20.2 15.9 47.6 69.7 97.9
#> 43 43 13.7 62.7 90.7 96.3 20.2 15.9 47.6 69.7 97.9
#> 44 44 13.7 62.7 90.7 96.3 20.2 15.9 47.6 69.7 97.9
#> 45 45 7.9 44.8 77.2 90.0 15.0 10.4 30.8 49.6 92.8
#> 46 46 7.9 44.8 77.2 90.0 15.0 10.4 30.8 49.6 92.8
#> 47 47 7.9 44.8 77.2 90.0 15.0 10.4 30.8 49.6 92.8
#> 48 48 7.9 44.8 77.2 90.0 15.0 10.4 30.8 49.6 92.8
#> 49 49 7.9 44.8 77.2 90.0 15.0 10.4 30.8 49.6 92.8
#> 50 50 5.3 40.1 72.3 89.4 12.6 6.6 26.4 47.6 89.6
#> 51 51 5.3 40.1 72.3 89.4 12.6 6.6 26.4 47.6 89.6
#> 52 52 5.3 40.1 72.3 89.4 12.6 6.6 26.4 47.6 89.6
#> 53 53 5.3 40.1 72.3 89.4 12.6 6.6 26.4 47.6 89.6
#> 54 54 5.3 40.1 72.3 89.4 12.6 6.6 26.4 47.6 89.6
#> 55 55 1.6 27.7 65.8 80.7 7.5 2.2 19.3 31.6 82.8
#> 56 56 1.6 27.7 65.8 80.7 7.5 2.2 19.3 31.6 82.8
#> 57 57 1.6 27.7 65.8 80.7 7.5 2.2 19.3 31.6 82.8
#> 58 58 1.6 27.7 65.8 80.7 7.5 2.2 19.3 31.6 82.8
#> 59 59 1.6 27.7 65.8 80.7 7.5 2.2 19.3 31.6 82.8
#> 60 60 0.5 16.4 48.8 71.9 2.9 1.0 8.1 20.1 74.3
#> 61 61 0.5 16.4 48.8 71.9 2.9 1.0 8.1 20.1 74.3
#> 62 62 0.5 16.4 48.8 71.9 2.9 1.0 8.1 20.1 74.3
#> 63 63 0.5 16.4 48.8 71.9 2.9 1.0 8.1 20.1 74.3
#> 64 64 0.5 16.4 48.8 71.9 2.9 1.0 8.1 20.1 74.3
#> 65 65 0.0 8.8 28.4 54.4 1.8 0.0 4.9 11.6 60.3
#> 66 66 0.0 8.8 28.4 54.4 1.8 0.0 4.9 11.6 60.3
#> 67 67 0.0 8.8 28.4 54.4 1.8 0.0 4.9 11.6 60.3
#> 68 68 0.0 8.8 28.4 54.4 1.8 0.0 4.9 11.6 60.3
#> 69 69 0.0 8.8 28.4 54.4 1.8 0.0 4.9 11.6 60.3
#> 70 70 0.0 4.7 16.5 42.8 1.8 0.0 1.9 5.2 47.8
#> 71 71 0.0 4.7 16.5 42.8 1.8 0.0 1.9 5.2 47.8
#> 72 72 0.0 4.7 16.5 42.8 1.8 0.0 1.9 5.2 47.8
#> 73 73 0.0 4.7 16.5 42.8 1.8 0.0 1.9 5.2 47.8
#> 74 74 0.0 4.7 16.5 42.8 1.8 0.0 1.9 5.2 47.8
#> 75 75 0.0 2.2 11.8 35.5 0.2 0.0 1.8 2.2 38.8
#> 76 76 0.0 2.2 11.8 35.5 0.2 0.0 1.8 2.2 38.8
#> 77 77 0.0 2.2 11.8 35.5 0.2 0.0 1.8 2.2 38.8
#> 78 78 0.0 2.2 11.8 35.5 0.2 0.0 1.8 2.2 38.8
#> 79 79 0.0 2.2 11.8 35.5 0.2 0.0 1.8 2.2 38.8
#> 80 80 0.0 0.0 8.0 17.5 0.0 0.0 0.0 0.0 22.7
#> 81 81 0.0 0.0 8.0 17.5 0.0 0.0 0.0 0.0 22.7
#> 82 82 0.0 0.0 8.0 17.5 0.0 0.0 0.0 0.0 22.7
#> 83 83 0.0 0.0 8.0 17.5 0.0 0.0 0.0 0.0 22.7
#> 84 84 0.0 0.0 8.0 17.5 0.0 0.0 0.0 0.0 22.7
#> 85 85 0.0 0.0 3.1 6.2 0.0 0.0 0.0 0.0 10.6
#> 86 86 0.0 0.0 3.1 6.2 0.0 0.0 0.0 0.0 10.6
#> 87 87 0.0 0.0 3.1 6.2 0.0 0.0 0.0 0.0 10.6
#> 88 88 0.0 0.0 3.1 6.2 0.0 0.0 0.0 0.0 10.6
#> 89 89 0.0 0.0 3.1 6.2 0.0 0.0 0.0 0.0 10.6
#> 90 90 0.0 0.0 0.0 5.5 0.0 0.0 0.0 0.0 7.0
#> 91 91 0.0 0.0 0.0 5.5 0.0 0.0 0.0 0.0 7.0
#> 92 92 0.0 0.0 0.0 5.5 0.0 0.0 0.0 0.0 7.0
#> 93 93 0.0 0.0 0.0 5.5 0.0 0.0 0.0 0.0 7.0
#> 94 94 0.0 0.0 0.0 5.5 0.0 0.0 0.0 0.0 7.0
#> 95 95 0.0 0.0 0.0 5.5 0.0 0.0 0.0 0.0 7.0
#> 96 96 0.0 0.0 0.0 5.5 0.0 0.0 0.0 0.0 7.0
#> 97 97 0.0 0.0 0.0 5.5 0.0 0.0 0.0 0.0 7.0
#> 98 98 0.0 0.0 0.0 5.5 0.0 0.0 0.0 0.0 7.0
#> 99 99 0.0 0.0 0.0 5.5 0.0 0.0 0.0 0.0 7.0
#> 100 100 0.0 0.0 0.0 5.5 0.0 0.0 0.0 0.0 7.0
# Given a specific PPI score (from 0 - 100), get the row of poverty
# probabilities from PPI table it corresponds to
ppiScore <- 50
ppiHTI2016[ppiHTI2016$score == ppiScore, ]
#> score nlFood nl100 nl150 nl200 half100 ppp125 ppp200 ppp250 ppp500
#> 50 50 5.3 40.1 72.3 89.4 12.6 6.6 26.4 47.6 89.6
# Use subset() function to get the row of poverty probabilities corresponding
# to specific PPI score
ppiScore <- 50
subset(ppiHTI2016, score == ppiScore)
#> score nlFood nl100 nl150 nl200 half100 ppp125 ppp200 ppp250 ppp500
#> 50 50 5.3 40.1 72.3 89.4 12.6 6.6 26.4 47.6 89.6
# 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
ppiHTI2016[ppiHTI2016$score == ppiScore, "nl100"]
#> [1] 40.1