Poverty Probability Index (PPI) lookup table for Haiti
ppiHTI2016
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)
# 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 #> [ reached getOption("max.print") -- omitted 1 row ]# 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