Poverty Probability Index (PPI) lookup table for Nepal using new poverty definitions
ppiNPL2013_a
A data frame with 9 columns and 101 rows:
scorePPI score
nlFoodFood poverty line
nl100National poverty line (100%)
nl150National poverty line (150%)
nl200National poverty line (200%)
extremeUSAID extreme poverty
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)
# Access Nepal PPI table ppiNPL2013_a#> score nlFood nl100 nl150 nl200 extreme ppp125 ppp200 ppp250 #> 0 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 #> 2 2 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 #> 3 3 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 #> 4 4 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 #> 5 5 38.9 100.0 100.0 100.0 66.3 100.0 100.0 100.0 #> 6 6 38.9 100.0 100.0 100.0 66.3 100.0 100.0 100.0 #> 7 7 38.9 100.0 100.0 100.0 66.3 100.0 100.0 100.0 #> 8 8 38.9 100.0 100.0 100.0 66.3 100.0 100.0 100.0 #> 9 9 38.9 100.0 100.0 100.0 66.3 100.0 100.0 100.0 #> 10 10 32.3 77.8 100.0 100.0 45.6 82.1 100.0 100.0 #> 11 11 32.3 77.8 100.0 100.0 45.6 82.1 100.0 100.0 #> 12 12 32.3 77.8 100.0 100.0 45.6 82.1 100.0 100.0 #> 13 13 32.3 77.8 100.0 100.0 45.6 82.1 100.0 100.0 #> 14 14 32.3 77.8 100.0 100.0 45.6 82.1 100.0 100.0 #> 15 15 20.7 64.6 92.7 100.0 41.4 67.5 95.2 100.0 #> 16 16 20.7 64.6 92.7 100.0 41.4 67.5 95.2 100.0 #> 17 17 20.7 64.6 92.7 100.0 41.4 67.5 95.2 100.0 #> 18 18 20.7 64.6 92.7 100.0 41.4 67.5 95.2 100.0 #> 19 19 20.7 64.6 92.7 100.0 41.4 67.5 95.2 100.0 #> 20 20 14.6 59.3 91.2 99.4 32.7 64.8 95.0 99.6 #> 21 21 14.6 59.3 91.2 99.4 32.7 64.8 95.0 99.6 #> 22 22 14.6 59.3 91.2 99.4 32.7 64.8 95.0 99.6 #> 23 23 14.6 59.3 91.2 99.4 32.7 64.8 95.0 99.6 #> 24 24 14.6 59.3 91.2 99.4 32.7 64.8 95.0 99.6 #> 25 25 9.3 49.8 85.1 96.2 25.0 58.4 90.9 98.1 #> 26 26 9.3 49.8 85.1 96.2 25.0 58.4 90.9 98.1 #> 27 27 9.3 49.8 85.1 96.2 25.0 58.4 90.9 98.1 #> 28 28 9.3 49.8 85.1 96.2 25.0 58.4 90.9 98.1 #> 29 29 9.3 49.8 85.1 96.2 25.0 58.4 90.9 98.1 #> 30 30 7.4 38.9 78.0 94.7 20.9 45.1 84.6 96.9 #> 31 31 7.4 38.9 78.0 94.7 20.9 45.1 84.6 96.9 #> 32 32 7.4 38.9 78.0 94.7 20.9 45.1 84.6 96.9 #> 33 33 7.4 38.9 78.0 94.7 20.9 45.1 84.6 96.9 #> 34 34 7.4 38.9 78.0 94.7 20.9 45.1 84.6 96.9 #> 35 35 3.9 25.9 68.3 90.6 9.3 31.2 77.9 92.8 #> 36 36 3.9 25.9 68.3 90.6 9.3 31.2 77.9 92.8 #> 37 37 3.9 25.9 68.3 90.6 9.3 31.2 77.9 92.8 #> 38 38 3.9 25.9 68.3 90.6 9.3 31.2 77.9 92.8 #> 39 39 3.9 25.9 68.3 90.6 9.3 31.2 77.9 92.8 #> 40 40 2.0 17.7 57.3 84.5 5.6 21.6 69.8 86.9 #> 41 41 2.0 17.7 57.3 84.5 5.6 21.6 69.8 86.9 #> 42 42 2.0 17.7 57.3 84.5 5.6 21.6 69.8 86.9 #> 43 43 2.0 17.7 57.3 84.5 5.6 21.6 69.8 86.9 #> 44 44 2.0 17.7 57.3 84.5 5.6 21.6 69.8 86.9 #> 45 45 0.0 9.6 44.6 74.9 2.8 12.7 58.6 80.4 #> 46 46 0.0 9.6 44.6 74.9 2.8 12.7 58.6 80.4 #> 47 47 0.0 9.6 44.6 74.9 2.8 12.7 58.6 80.4 #> 48 48 0.0 9.6 44.6 74.9 2.8 12.7 58.6 80.4 #> 49 49 0.0 9.6 44.6 74.9 2.8 12.7 58.6 80.4 #> 50 50 0.0 5.3 32.5 61.7 1.8 6.4 44.5 65.5 #> 51 51 0.0 5.3 32.5 61.7 1.8 6.4 44.5 65.5 #> 52 52 0.0 5.3 32.5 61.7 1.8 6.4 44.5 65.5 #> 53 53 0.0 5.3 32.5 61.7 1.8 6.4 44.5 65.5 #> 54 54 0.0 5.3 32.5 61.7 1.8 6.4 44.5 65.5 #> 55 55 0.0 3.5 25.2 53.5 0.9 4.6 36.4 57.7 #> 56 56 0.0 3.5 25.2 53.5 0.9 4.6 36.4 57.7 #> 57 57 0.0 3.5 25.2 53.5 0.9 4.6 36.4 57.7 #> 58 58 0.0 3.5 25.2 53.5 0.9 4.6 36.4 57.7 #> 59 59 0.0 3.5 25.2 53.5 0.9 4.6 36.4 57.7 #> 60 60 0.0 1.8 12.3 36.0 0.0 2.3 17.7 42.3 #> 61 61 0.0 1.8 12.3 36.0 0.0 2.3 17.7 42.3 #> 62 62 0.0 1.8 12.3 36.0 0.0 2.3 17.7 42.3 #> 63 63 0.0 1.8 12.3 36.0 0.0 2.3 17.7 42.3 #> 64 64 0.0 1.8 12.3 36.0 0.0 2.3 17.7 42.3 #> 65 65 0.0 0.4 8.2 27.1 0.0 0.8 14.0 34.0 #> 66 66 0.0 0.4 8.2 27.1 0.0 0.8 14.0 34.0 #> 67 67 0.0 0.4 8.2 27.1 0.0 0.8 14.0 34.0 #> 68 68 0.0 0.4 8.2 27.1 0.0 0.8 14.0 34.0 #> 69 69 0.0 0.4 8.2 27.1 0.0 0.8 14.0 34.0 #> 70 70 0.0 2.0 4.6 16.8 0.0 0.4 7.7 19.4 #> 71 71 0.0 2.0 4.6 16.8 0.0 0.4 7.7 19.4 #> 72 72 0.0 2.0 4.6 16.8 0.0 0.4 7.7 19.4 #> 73 73 0.0 2.0 4.6 16.8 0.0 0.4 7.7 19.4 #> 74 74 0.0 2.0 4.6 16.8 0.0 0.4 7.7 19.4 #> 75 75 0.0 0.0 1.8 7.8 0.0 0.3 4.5 9.6 #> 76 76 0.0 0.0 1.8 7.8 0.0 0.3 4.5 9.6 #> 77 77 0.0 0.0 1.8 7.8 0.0 0.3 4.5 9.6 #> 78 78 0.0 0.0 1.8 7.8 0.0 0.3 4.5 9.6 #> 79 79 0.0 0.0 1.8 7.8 0.0 0.3 4.5 9.6 #> 80 80 0.0 0.0 0.9 5.2 0.0 0.2 1.5 7.2 #> 81 81 0.0 0.0 0.9 5.2 0.0 0.2 1.5 7.2 #> 82 82 0.0 0.0 0.9 5.2 0.0 0.2 1.5 7.2 #> 83 83 0.0 0.0 0.9 5.2 0.0 0.2 1.5 7.2 #> 84 84 0.0 0.0 0.9 5.2 0.0 0.2 1.5 7.2 #> 85 85 0.0 0.0 0.0 0.7 0.0 0.0 0.0 3.2 #> 86 86 0.0 0.0 0.0 0.7 0.0 0.0 0.0 3.2 #> 87 87 0.0 0.0 0.0 0.7 0.0 0.0 0.0 3.2 #> 88 88 0.0 0.0 0.0 0.7 0.0 0.0 0.0 3.2 #> 89 89 0.0 0.0 0.0 0.7 0.0 0.0 0.0 3.2 #> 90 90 0.0 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 0.0 #> 92 92 0.0 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 0.0 #> 94 94 0.0 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 0.0 #> 96 96 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 #> 98 98 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 #> 100 100 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 ppiNPL2013_a[ppiNPL2013_a$score == ppiScore, ]#> score nlFood nl100 nl150 nl200 extreme ppp125 ppp200 ppp250 #> 50 50 0 5.3 32.5 61.7 1.8 6.4 44.5 65.5# Use subset() function to get the row of poverty probabilities corresponding # to specific PPI score ppiScore <- 50 subset(ppiNPL2013_a, score == ppiScore)#> score nlFood nl100 nl150 nl200 extreme ppp125 ppp200 ppp250 #> 50 50 0 5.3 32.5 61.7 1.8 6.4 44.5 65.5# 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 ppiNPL2013_a[ppiNPL2013_a$score == ppiScore, "nl100"]#> [1] 5.3