Poverty Probability Index (PPI) lookup table for Mozambique
ppiMOZ2013
A data frame with 7 columns and 101 rows:
scorePPI score
ppp100National poverty line (100%)
nl150National poverty line (150%)
nl200National poverty line (200%)
extremeUSAID extreme poverty
ppp125Below $1.25 per day purchasing power parity (2005)
ppp250Below $2.50 per day purchasing power parity (2005)
# Access Mozambique PPI table ppiMOZ2013#> score ppp100 nl150 nl200 extreme ppp125 ppp250 #> 0 0 97.1 100.0 100.0 77.7 100.0 100.0 #> 1 1 97.1 100.0 100.0 77.7 100.0 100.0 #> 2 2 97.1 100.0 100.0 77.7 100.0 100.0 #> 3 3 97.1 100.0 100.0 77.7 100.0 100.0 #> 4 4 97.1 100.0 100.0 77.7 100.0 100.0 #> 5 5 93.0 98.6 100.0 65.6 96.9 100.0 #> 6 6 93.0 98.6 100.0 65.6 96.9 100.0 #> 7 7 93.0 98.6 100.0 65.6 96.9 100.0 #> 8 8 93.0 98.6 100.0 65.6 96.9 100.0 #> 9 9 93.0 98.6 100.0 65.6 96.9 100.0 #> 10 10 89.9 97.5 99.6 62.9 92.6 100.0 #> 11 11 89.9 97.5 99.6 62.9 92.6 100.0 #> 12 12 89.9 97.5 99.6 62.9 92.6 100.0 #> 13 13 89.9 97.5 99.6 62.9 92.6 100.0 #> 14 14 89.9 97.5 99.6 62.9 92.6 100.0 #> 15 15 79.4 93.4 97.7 52.3 84.1 98.5 #> 16 16 79.4 93.4 97.7 52.3 84.1 98.5 #> 17 17 79.4 93.4 97.7 52.3 84.1 98.5 #> 18 18 79.4 93.4 97.7 52.3 84.1 98.5 #> 19 19 79.4 93.4 97.7 52.3 84.1 98.5 #> 20 20 76.1 91.8 97.3 42.9 81.6 98.1 #> 21 21 76.1 91.8 97.3 42.9 81.6 98.1 #> 22 22 76.1 91.8 97.3 42.9 81.6 98.1 #> 23 23 76.1 91.8 97.3 42.9 81.6 98.1 #> 24 24 76.1 91.8 97.3 42.9 81.6 98.1 #> 25 25 72.0 91.1 97.3 35.0 78.3 98.1 #> 26 26 72.0 91.1 97.3 35.0 78.3 98.1 #> 27 27 72.0 91.1 97.3 35.0 78.3 98.1 #> 28 28 72.0 91.1 97.3 35.0 78.3 98.1 #> 29 29 72.0 91.1 97.3 35.0 78.3 98.1 #> 30 30 60.8 88.2 96.9 27.0 68.5 97.8 #> 31 31 60.8 88.2 96.9 27.0 68.5 97.8 #> 32 32 60.8 88.2 96.9 27.0 68.5 97.8 #> 33 33 60.8 88.2 96.9 27.0 68.5 97.8 #> 34 34 60.8 88.2 96.9 27.0 68.5 97.8 #> 35 35 50.8 78.4 89.2 19.9 59.3 91.8 #> 36 36 50.8 78.4 89.2 19.9 59.3 91.8 #> 37 37 50.8 78.4 89.2 19.9 59.3 91.8 #> 38 38 50.8 78.4 89.2 19.9 59.3 91.8 #> 39 39 50.8 78.4 89.2 19.9 59.3 91.8 #> 40 40 31.7 67.1 84.3 12.9 41.5 88.0 #> 41 41 31.7 67.1 84.3 12.9 41.5 88.0 #> 42 42 31.7 67.1 84.3 12.9 41.5 88.0 #> 43 43 31.7 67.1 84.3 12.9 41.5 88.0 #> 44 44 31.7 67.1 84.3 12.9 41.5 88.0 #> 45 45 28.8 52.1 73.8 9.7 33.0 78.2 #> 46 46 28.8 52.1 73.8 9.7 33.0 78.2 #> 47 47 28.8 52.1 73.8 9.7 33.0 78.2 #> 48 48 28.8 52.1 73.8 9.7 33.0 78.2 #> 49 49 28.8 52.1 73.8 9.7 33.0 78.2 #> 50 50 21.4 45.1 67.8 5.7 26.3 73.4 #> 51 51 21.4 45.1 67.8 5.7 26.3 73.4 #> 52 52 21.4 45.1 67.8 5.7 26.3 73.4 #> 53 53 21.4 45.1 67.8 5.7 26.3 73.4 #> 54 54 21.4 45.1 67.8 5.7 26.3 73.4 #> 55 55 8.5 30.6 50.7 3.2 11.9 58.6 #> 56 56 8.5 30.6 50.7 3.2 11.9 58.6 #> 57 57 8.5 30.6 50.7 3.2 11.9 58.6 #> 58 58 8.5 30.6 50.7 3.2 11.9 58.6 #> 59 59 8.5 30.6 50.7 3.2 11.9 58.6 #> 60 60 7.2 24.9 43.5 0.0 10.1 51.6 #> 61 61 7.2 24.9 43.5 0.0 10.1 51.6 #> 62 62 7.2 24.9 43.5 0.0 10.1 51.6 #> 63 63 7.2 24.9 43.5 0.0 10.1 51.6 #> 64 64 7.2 24.9 43.5 0.0 10.1 51.6 #> 65 65 3.2 15.6 27.1 0.0 5.0 31.7 #> 66 66 3.2 15.6 27.1 0.0 5.0 31.7 #> 67 67 3.2 15.6 27.1 0.0 5.0 31.7 #> 68 68 3.2 15.6 27.1 0.0 5.0 31.7 #> 69 69 3.2 15.6 27.1 0.0 5.0 31.7 #> 70 70 0.6 4.8 15.6 0.0 1.4 21.0 #> 71 71 0.6 4.8 15.6 0.0 1.4 21.0 #> 72 72 0.6 4.8 15.6 0.0 1.4 21.0 #> 73 73 0.6 4.8 15.6 0.0 1.4 21.0 #> 74 74 0.6 4.8 15.6 0.0 1.4 21.0 #> 75 75 0.0 1.3 9.9 0.0 0.0 13.5 #> 76 76 0.0 1.3 9.9 0.0 0.0 13.5 #> 77 77 0.0 1.3 9.9 0.0 0.0 13.5 #> 78 78 0.0 1.3 9.9 0.0 0.0 13.5 #> 79 79 0.0 1.3 9.9 0.0 0.0 13.5 #> 80 80 0.0 0.0 0.0 0.0 0.0 0.0 #> 81 81 0.0 0.0 0.0 0.0 0.0 0.0 #> 82 82 0.0 0.0 0.0 0.0 0.0 0.0 #> 83 83 0.0 0.0 0.0 0.0 0.0 0.0 #> 84 84 0.0 0.0 0.0 0.0 0.0 0.0 #> 85 85 0.0 0.0 0.0 0.0 0.0 0.0 #> 86 86 0.0 0.0 0.0 0.0 0.0 0.0 #> 87 87 0.0 0.0 0.0 0.0 0.0 0.0 #> 88 88 0.0 0.0 0.0 0.0 0.0 0.0 #> 89 89 0.0 0.0 0.0 0.0 0.0 0.0 #> 90 90 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 #> 92 92 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 #> 94 94 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 #> 96 96 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 #> 98 98 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 #> 100 100 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 ppiMOZ2013[ppiMOZ2013$score == ppiScore, ]#> score ppp100 nl150 nl200 extreme ppp125 ppp250 #> 50 50 21.4 45.1 67.8 5.7 26.3 73.4# Use subset() function to get the row of poverty probabilities corresponding # to specific PPI score ppiScore <- 50 subset(ppiMOZ2013, score == ppiScore)#> score ppp100 nl150 nl200 extreme ppp125 ppp250 #> 50 50 21.4 45.1 67.8 5.7 26.3 73.4# 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 ppiMOZ2013[ppiMOZ2013$score == ppiScore, "nl100"]#> NULL