Poverty Probability Index (PPI) lookup table for Ghana based on legacy definitions
ppiGHA2015
A data frame with 8 columns and 101 rows:
scorePPI score
nlFoodFood poverty line
nl100National poverty line (100%)
nl150National poverty line (150%)
nl200National poverty line (200%)
ppp125Below $1.25 per day purchasing power parity (2005)
ppp250Below $2.50 per day purchasing power parity (2005)
ppp375Below $2.75 per day purchasing power parity (2005)
# Access Ghana PPI table ppiGHA2015#> score nlFood nl100 nl150 nl200 ppp125 ppp250 ppp375 #> 0 0 70.4 89.0 97.9 99.1 83.9 97.9 100.0 #> 1 1 70.4 89.0 97.9 99.1 83.9 97.9 100.0 #> 2 2 70.4 89.0 97.9 99.1 83.9 97.9 100.0 #> 3 3 70.4 89.0 97.9 99.1 83.9 97.9 100.0 #> 4 4 70.4 89.0 97.9 99.1 83.9 97.9 100.0 #> 5 5 70.4 89.0 97.9 99.1 83.9 97.9 100.0 #> 6 6 70.4 89.0 97.9 99.1 83.9 97.9 100.0 #> 7 7 70.4 89.0 97.9 99.1 83.9 97.9 100.0 #> 8 8 70.4 89.0 97.9 99.1 83.9 97.9 100.0 #> 9 9 70.4 89.0 97.9 99.1 83.9 97.9 100.0 #> 10 10 50.7 74.4 88.2 96.3 59.6 93.5 97.9 #> 11 11 50.7 74.4 88.2 96.3 59.6 93.5 97.9 #> 12 12 50.7 74.4 88.2 96.3 59.6 93.5 97.9 #> 13 13 50.7 74.4 88.2 96.3 59.6 93.5 97.9 #> 14 14 50.7 74.4 88.2 96.3 59.6 93.5 97.9 #> 15 15 38.4 62.3 85.5 94.2 47.3 88.2 96.4 #> 16 16 38.4 62.3 85.5 94.2 47.3 88.2 96.4 #> 17 17 38.4 62.3 85.5 94.2 47.3 88.2 96.4 #> 18 18 38.4 62.3 85.5 94.2 47.3 88.2 96.4 #> 19 19 38.4 62.3 85.5 94.2 47.3 88.2 96.4 #> 20 20 31.0 58.7 84.9 91.8 39.4 86.1 96.3 #> 21 21 31.0 58.7 84.9 91.8 39.4 86.1 96.3 #> 22 22 31.0 58.7 84.9 91.8 39.4 86.1 96.3 #> 23 23 31.0 58.7 84.9 91.8 39.4 86.1 96.3 #> 24 24 31.0 58.7 84.9 91.8 39.4 86.1 96.3 #> 25 25 21.5 48.0 75.8 89.1 31.1 79.4 94.4 #> 26 26 21.5 48.0 75.8 89.1 31.1 79.4 94.4 #> 27 27 21.5 48.0 75.8 89.1 31.1 79.4 94.4 #> 28 28 21.5 48.0 75.8 89.1 31.1 79.4 94.4 #> 29 29 21.5 48.0 75.8 89.1 31.1 79.4 94.4 #> 30 30 15.1 33.9 65.5 81.9 20.3 69.4 87.5 #> 31 31 15.1 33.9 65.5 81.9 20.3 69.4 87.5 #> 32 32 15.1 33.9 65.5 81.9 20.3 69.4 87.5 #> 33 33 15.1 33.9 65.5 81.9 20.3 69.4 87.5 #> 34 34 15.1 33.9 65.5 81.9 20.3 69.4 87.5 #> 35 35 8.1 24.2 53.7 73.9 10.6 54.9 79.6 #> 36 36 8.1 24.2 53.7 73.9 10.6 54.9 79.6 #> 37 37 8.1 24.2 53.7 73.9 10.6 54.9 79.6 #> 38 38 8.1 24.2 53.7 73.9 10.6 54.9 79.6 #> 39 39 8.1 24.2 53.7 73.9 10.6 54.9 79.6 #> 40 40 5.4 16.6 39.2 65.2 7.8 42.0 74.5 #> 41 41 5.4 16.6 39.2 65.2 7.8 42.0 74.5 #> 42 42 5.4 16.6 39.2 65.2 7.8 42.0 74.5 #> 43 43 5.4 16.6 39.2 65.2 7.8 42.0 74.5 #> 44 44 5.4 16.6 39.2 65.2 7.8 42.0 74.5 #> 45 45 2.2 10.1 30.9 53.4 3.5 31.3 64.3 #> 46 46 2.2 10.1 30.9 53.4 3.5 31.3 64.3 #> 47 47 2.2 10.1 30.9 53.4 3.5 31.3 64.3 #> 48 48 2.2 10.1 30.9 53.4 3.5 31.3 64.3 #> 49 49 2.2 10.1 30.9 53.4 3.5 31.3 64.3 #> 50 50 1.3 5.0 21.1 40.8 1.5 22.5 49.4 #> 51 51 1.3 5.0 21.1 40.8 1.5 22.5 49.4 #> 52 52 1.3 5.0 21.1 40.8 1.5 22.5 49.4 #> 53 53 1.3 5.0 21.1 40.8 1.5 22.5 49.4 #> 54 54 1.3 5.0 21.1 40.8 1.5 22.5 49.4 #> 55 55 1.2 3.6 14.5 30.4 1.5 15.5 41.7 #> 56 56 1.2 3.6 14.5 30.4 1.5 15.5 41.7 #> 57 57 1.2 3.6 14.5 30.4 1.5 15.5 41.7 #> 58 58 1.2 3.6 14.5 30.4 1.5 15.5 41.7 #> 59 59 1.2 3.6 14.5 30.4 1.5 15.5 41.7 #> 60 60 0.4 1.7 8.5 22.7 0.7 9.0 31.3 #> 61 61 0.4 1.7 8.5 22.7 0.7 9.0 31.3 #> 62 62 0.4 1.7 8.5 22.7 0.7 9.0 31.3 #> 63 63 0.4 1.7 8.5 22.7 0.7 9.0 31.3 #> 64 64 0.4 1.7 8.5 22.7 0.7 9.0 31.3 #> 65 65 0.1 0.7 4.9 15.4 0.1 5.6 22.4 #> 66 66 0.1 0.7 4.9 15.4 0.1 5.6 22.4 #> 67 67 0.1 0.7 4.9 15.4 0.1 5.6 22.4 #> 68 68 0.1 0.7 4.9 15.4 0.1 5.6 22.4 #> 69 69 0.1 0.7 4.9 15.4 0.1 5.6 22.4 #> 70 70 0.1 0.7 3.7 9.7 0.1 3.7 15.5 #> 71 71 0.1 0.7 3.7 9.7 0.1 3.7 15.5 #> 72 72 0.1 0.7 3.7 9.7 0.1 3.7 15.5 #> 73 73 0.1 0.7 3.7 9.7 0.1 3.7 15.5 #> 74 74 0.1 0.7 3.7 9.7 0.1 3.7 15.5 #> 75 75 0.0 0.2 0.9 4.6 0.0 0.8 7.7 #> 76 76 0.0 0.2 0.9 4.6 0.0 0.8 7.7 #> 77 77 0.0 0.2 0.9 4.6 0.0 0.8 7.7 #> 78 78 0.0 0.2 0.9 4.6 0.0 0.8 7.7 #> 79 79 0.0 0.2 0.9 4.6 0.0 0.8 7.7 #> 80 80 0.0 0.0 0.2 1.1 0.0 0.5 2.2 #> 81 81 0.0 0.0 0.2 1.1 0.0 0.5 2.2 #> 82 82 0.0 0.0 0.2 1.1 0.0 0.5 2.2 #> 83 83 0.0 0.0 0.2 1.1 0.0 0.5 2.2 #> 84 84 0.0 0.0 0.2 1.1 0.0 0.5 2.2 #> 85 85 0.0 0.0 0.0 0.4 0.0 0.2 0.7 #> 86 86 0.0 0.0 0.0 0.4 0.0 0.2 0.7 #> 87 87 0.0 0.0 0.0 0.4 0.0 0.2 0.7 #> 88 88 0.0 0.0 0.0 0.4 0.0 0.2 0.7 #> 89 89 0.0 0.0 0.0 0.4 0.0 0.2 0.7 #> 90 90 0.0 0.0 0.0 0.0 0.0 0.0 0.2 #> 91 91 0.0 0.0 0.0 0.0 0.0 0.0 0.2 #> 92 92 0.0 0.0 0.0 0.0 0.0 0.0 0.2 #> 93 93 0.0 0.0 0.0 0.0 0.0 0.0 0.2 #> 94 94 0.0 0.0 0.0 0.0 0.0 0.0 0.2 #> 95 95 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 #> 97 97 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 #> 99 99 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# Given a specific PPI score (from 0 - 100), get the row of poverty # probabilities from PPI table it corresponds to ppiScore <- 50 ppiGHA2015[ppiGHA2015$score == ppiScore, ]#> score nlFood nl100 nl150 nl200 ppp125 ppp250 ppp375 #> 50 50 1.3 5 21.1 40.8 1.5 22.5 49.4# Use subset() function to get the row of poverty probabilities corresponding # to specific PPI score ppiScore <- 50 subset(ppiGHA2015, score == ppiScore)#> score nlFood nl100 nl150 nl200 ppp125 ppp250 ppp375 #> 50 50 1.3 5 21.1 40.8 1.5 22.5 49.4# 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 ppiGHA2015[ppiGHA2015$score == ppiScore, "nl100"]#> [1] 5