Poverty Probability Index (PPI) lookup table for Mozambique
Format
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)
Examples
# 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