Poverty Probability Index (PPI) lookup table for Paraguay
Format
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%)
extremeUSAID extreme poverty
ppp125Below $1.25 per day purchasing power parity (2005)
ppp250Below $2.50 per day purchasing power parity (2005)
Examples
# Access Paraguay PPI table
ppiPRY2012
#> score nlFood nl100 nl150 nl200 extreme ppp125 ppp250
#> 0 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
#> 2 2 100.0 100.0 100.0 100.0 100.0 100.0 100.0
#> 3 3 100.0 100.0 100.0 100.0 100.0 100.0 100.0
#> 4 4 100.0 100.0 100.0 100.0 100.0 100.0 100.0
#> 5 5 100.0 100.0 100.0 100.0 100.0 100.0 100.0
#> 6 6 100.0 100.0 100.0 100.0 100.0 100.0 100.0
#> 7 7 100.0 100.0 100.0 100.0 100.0 100.0 100.0
#> 8 8 100.0 100.0 100.0 100.0 100.0 100.0 100.0
#> 9 9 100.0 100.0 100.0 100.0 100.0 100.0 100.0
#> 10 10 100.0 100.0 100.0 100.0 100.0 100.0 100.0
#> 11 11 100.0 100.0 100.0 100.0 100.0 100.0 100.0
#> 12 12 100.0 100.0 100.0 100.0 100.0 100.0 100.0
#> 13 13 100.0 100.0 100.0 100.0 100.0 100.0 100.0
#> 14 14 100.0 100.0 100.0 100.0 100.0 100.0 100.0
#> 15 15 84.9 95.9 100.0 100.0 84.9 27.9 84.9
#> 16 16 84.9 95.9 100.0 100.0 84.9 27.9 84.9
#> 17 17 84.9 95.9 100.0 100.0 84.9 27.9 84.9
#> 18 18 84.9 95.9 100.0 100.0 84.9 27.9 84.9
#> 19 19 84.9 95.9 100.0 100.0 84.9 27.9 84.9
#> 20 20 77.9 94.0 99.5 100.0 76.4 25.8 76.4
#> 21 21 77.9 94.0 99.5 100.0 76.4 25.8 76.4
#> 22 22 77.9 94.0 99.5 100.0 76.4 25.8 76.4
#> 23 23 77.9 94.0 99.5 100.0 76.4 25.8 76.4
#> 24 24 77.9 94.0 99.5 100.0 76.4 25.8 76.4
#> 25 25 73.8 94.1 99.5 100.0 68.0 24.9 65.2
#> 26 26 73.8 94.1 99.5 100.0 68.0 24.9 65.2
#> 27 27 73.8 94.1 99.5 100.0 68.0 24.9 65.2
#> 28 28 73.8 94.1 99.5 100.0 68.0 24.9 65.2
#> 29 29 73.8 94.1 99.5 100.0 68.0 24.9 65.2
#> 30 30 67.8 85.8 94.9 98.8 57.7 20.6 55.2
#> 31 31 67.8 85.8 94.9 98.8 57.7 20.6 55.2
#> 32 32 67.8 85.8 94.9 98.8 57.7 20.6 55.2
#> 33 33 67.8 85.8 94.9 98.8 57.7 20.6 55.2
#> 34 34 67.8 85.8 94.9 98.8 57.7 20.6 55.2
#> 35 35 41.2 73.0 89.4 95.4 37.7 5.6 30.8
#> 36 36 41.2 73.0 89.4 95.4 37.7 5.6 30.8
#> 37 37 41.2 73.0 89.4 95.4 37.7 5.6 30.8
#> 38 38 41.2 73.0 89.4 95.4 37.7 5.6 30.8
#> 39 39 41.2 73.0 89.4 95.4 37.7 5.6 30.8
#> 40 40 33.2 67.0 87.2 94.3 29.3 4.2 23.8
#> 41 41 33.2 67.0 87.2 94.3 29.3 4.2 23.8
#> 42 42 33.2 67.0 87.2 94.3 29.3 4.2 23.8
#> 43 43 33.2 67.0 87.2 94.3 29.3 4.2 23.8
#> 44 44 33.2 67.0 87.2 94.3 29.3 4.2 23.8
#> 45 45 19.9 42.6 69.7 83.1 18.0 2.1 13.1
#> 46 46 19.9 42.6 69.7 83.1 18.0 2.1 13.1
#> 47 47 19.9 42.6 69.7 83.1 18.0 2.1 13.1
#> 48 48 19.9 42.6 69.7 83.1 18.0 2.1 13.1
#> 49 49 19.9 42.6 69.7 83.1 18.0 2.1 13.1
#> 50 50 11.2 25.7 52.8 75.0 8.2 0.5 7.5
#> 51 51 11.2 25.7 52.8 75.0 8.2 0.5 7.5
#> 52 52 11.2 25.7 52.8 75.0 8.2 0.5 7.5
#> 53 53 11.2 25.7 52.8 75.0 8.2 0.5 7.5
#> 54 54 11.2 25.7 52.8 75.0 8.2 0.5 7.5
#> 55 55 1.9 14.4 38.2 56.8 2.3 0.2 1.2
#> 56 56 1.9 14.4 38.2 56.8 2.3 0.2 1.2
#> 57 57 1.9 14.4 38.2 56.8 2.3 0.2 1.2
#> 58 58 1.9 14.4 38.2 56.8 2.3 0.2 1.2
#> 59 59 1.9 14.4 38.2 56.8 2.3 0.2 1.2
#> 60 60 0.6 6.1 26.6 45.2 1.1 0.1 0.5
#> 61 61 0.6 6.1 26.6 45.2 1.1 0.1 0.5
#> 62 62 0.6 6.1 26.6 45.2 1.1 0.1 0.5
#> 63 63 0.6 6.1 26.6 45.2 1.1 0.1 0.5
#> 64 64 0.6 6.1 26.6 45.2 1.1 0.1 0.5
#> 65 65 0.1 3.3 14.2 24.9 0.6 0.0 0.1
#> 66 66 0.1 3.3 14.2 24.9 0.6 0.0 0.1
#> 67 67 0.1 3.3 14.2 24.9 0.6 0.0 0.1
#> 68 68 0.1 3.3 14.2 24.9 0.6 0.0 0.1
#> 69 69 0.1 3.3 14.2 24.9 0.6 0.0 0.1
#> 70 70 0.0 2.6 9.1 18.6 0.1 0.0 0.0
#> 71 71 0.0 2.6 9.1 18.6 0.1 0.0 0.0
#> 72 72 0.0 2.6 9.1 18.6 0.1 0.0 0.0
#> 73 73 0.0 2.6 9.1 18.6 0.1 0.0 0.0
#> 74 74 0.0 2.6 9.1 18.6 0.1 0.0 0.0
#> 75 75 0.0 0.2 4.0 10.8 0.0 0.0 0.0
#> 76 76 0.0 0.2 4.0 10.8 0.0 0.0 0.0
#> 77 77 0.0 0.2 4.0 10.8 0.0 0.0 0.0
#> 78 78 0.0 0.2 4.0 10.8 0.0 0.0 0.0
#> 79 79 0.0 0.2 4.0 10.8 0.0 0.0 0.0
#> 80 80 0.0 0.0 0.0 3.0 0.0 0.0 0.0
#> 81 81 0.0 0.0 0.0 3.0 0.0 0.0 0.0
#> 82 82 0.0 0.0 0.0 3.0 0.0 0.0 0.0
#> 83 83 0.0 0.0 0.0 3.0 0.0 0.0 0.0
#> 84 84 0.0 0.0 0.0 3.0 0.0 0.0 0.0
#> 85 85 0.0 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 0.0
#> 87 87 0.0 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 0.0
#> 89 89 0.0 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 0.0
#> 91 91 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
#> 93 93 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
#> 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
ppiPRY2012[ppiPRY2012$score == ppiScore, ]
#> score nlFood nl100 nl150 nl200 extreme ppp125 ppp250
#> 50 50 11.2 25.7 52.8 75 8.2 0.5 7.5
# Use subset() function to get the row of poverty probabilities corresponding
# to specific PPI score
ppiScore <- 50
subset(ppiPRY2012, score == ppiScore)
#> score nlFood nl100 nl150 nl200 extreme ppp125 ppp250
#> 50 50 11.2 25.7 52.8 75 8.2 0.5 7.5
# 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
ppiPRY2012[ppiPRY2012$score == ppiScore, "nl100"]
#> [1] 25.7