Poverty Probability Index (PPI) lookup table for India using r59 poverty definitions
ppiIND2016_r59
A data frame with 4 columns and 101 rows:
scorePPI score
saxenaNational saxena
ppp108Below $1.08 per day purchasing power parity (1993)
ppp216Below $2.16 per day purchasing power parity (1993)
# Access India PPI table ppiIND2016_r59#> score saxena ppp108 ppp216 #> 0 0 56.3 73.1 99.2 #> 1 1 56.3 73.1 99.2 #> 2 2 56.3 73.1 99.2 #> 3 3 56.3 73.1 99.2 #> 4 4 56.3 73.1 99.2 #> 5 5 44.0 61.7 98.7 #> 6 6 44.0 61.7 98.7 #> 7 7 44.0 61.7 98.7 #> 8 8 44.0 61.7 98.7 #> 9 9 44.0 61.7 98.7 #> 10 10 34.5 53.2 98.4 #> 11 11 34.5 53.2 98.4 #> 12 12 34.5 53.2 98.4 #> 13 13 34.5 53.2 98.4 #> 14 14 34.5 53.2 98.4 #> 15 15 21.8 42.8 96.9 #> 16 16 21.8 42.8 96.9 #> 17 17 21.8 42.8 96.9 #> 18 18 21.8 42.8 96.9 #> 19 19 21.8 42.8 96.9 #> 20 20 17.3 35.2 95.7 #> 21 21 17.3 35.2 95.7 #> 22 22 17.3 35.2 95.7 #> 23 23 17.3 35.2 95.7 #> 24 24 17.3 35.2 95.7 #> 25 25 12.8 26.8 92.2 #> 26 26 12.8 26.8 92.2 #> 27 27 12.8 26.8 92.2 #> 28 28 12.8 26.8 92.2 #> 29 29 12.8 26.8 92.2 #> 30 30 8.0 18.8 88.6 #> 31 31 8.0 18.8 88.6 #> 32 32 8.0 18.8 88.6 #> 33 33 8.0 18.8 88.6 #> 34 34 8.0 18.8 88.6 #> 35 35 5.9 12.5 82.4 #> 36 36 5.9 12.5 82.4 #> 37 37 5.9 12.5 82.4 #> 38 38 5.9 12.5 82.4 #> 39 39 5.9 12.5 82.4 #> 40 40 4.0 9.1 75.1 #> 41 41 4.0 9.1 75.1 #> 42 42 4.0 9.1 75.1 #> 43 43 4.0 9.1 75.1 #> 44 44 4.0 9.1 75.1 #> 45 45 3.1 6.1 60.7 #> 46 46 3.1 6.1 60.7 #> 47 47 3.1 6.1 60.7 #> 48 48 3.1 6.1 60.7 #> 49 49 3.1 6.1 60.7 #> 50 50 1.5 3.3 50.6 #> 51 51 1.5 3.3 50.6 #> 52 52 1.5 3.3 50.6 #> 53 53 1.5 3.3 50.6 #> 54 54 1.5 3.3 50.6 #> 55 55 0.8 1.2 36.5 #> 56 56 0.8 1.2 36.5 #> 57 57 0.8 1.2 36.5 #> 58 58 0.8 1.2 36.5 #> 59 59 0.8 1.2 36.5 #> 60 60 0.3 0.3 30.4 #> 61 61 0.3 0.3 30.4 #> 62 62 0.3 0.3 30.4 #> 63 63 0.3 0.3 30.4 #> 64 64 0.3 0.3 30.4 #> 65 65 0.1 0.3 22.0 #> 66 66 0.1 0.3 22.0 #> 67 67 0.1 0.3 22.0 #> 68 68 0.1 0.3 22.0 #> 69 69 0.1 0.3 22.0 #> 70 70 0.1 0.1 15.5 #> 71 71 0.1 0.1 15.5 #> 72 72 0.1 0.1 15.5 #> 73 73 0.1 0.1 15.5 #> 74 74 0.1 0.1 15.5 #> 75 75 0.0 0.0 8.2 #> 76 76 0.0 0.0 8.2 #> 77 77 0.0 0.0 8.2 #> 78 78 0.0 0.0 8.2 #> 79 79 0.0 0.0 8.2 #> 80 80 0.0 0.0 5.4 #> 81 81 0.0 0.0 5.4 #> 82 82 0.0 0.0 5.4 #> 83 83 0.0 0.0 5.4 #> 84 84 0.0 0.0 5.4 #> 85 85 0.0 0.0 2.4 #> 86 86 0.0 0.0 2.4 #> 87 87 0.0 0.0 2.4 #> 88 88 0.0 0.0 2.4 #> 89 89 0.0 0.0 2.4 #> 90 90 0.0 0.0 0.3 #> 91 91 0.0 0.0 0.3 #> 92 92 0.0 0.0 0.3 #> 93 93 0.0 0.0 0.3 #> 94 94 0.0 0.0 0.3 #> 95 95 0.0 0.0 0.0 #> 96 96 0.0 0.0 0.0 #> 97 97 0.0 0.0 0.0 #> 98 98 0.0 0.0 0.0 #> 99 99 0.0 0.0 0.0 #> 100 100 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 ppiIND2016_r59[ppiIND2016_r59$score == ppiScore, ]#> score saxena ppp108 ppp216 #> 50 50 1.5 3.3 50.6# Use subset() function to get the row of poverty probabilities corresponding # to specific PPI score ppiScore <- 50 subset(ppiIND2016_r59, score == ppiScore)#> score saxena ppp108 ppp216 #> 50 50 1.5 3.3 50.6# Given a specific PPI score (from 0 - 100), get a poverty probability # based on a specific poverty definition. In this example, the saxena # poverty definition ppiScore <- 50 ppiIND2016_r59[ppiIND2016_r59$score == ppiScore, "saxena"]#> [1] 1.5