Poverty Probability Index (PPI) lookup table for Nicaragua
Format
A data frame with 10 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)
ppp375Below $3.75 per day purchasing power parity (2005)
ppp800Below $8.00 per day purchasing power parity (2005)
Examples
# Access Nicaragua PPI table
ppiNIC2013
#> score nlFood nl100 nl150 nl200 extreme ppp125 ppp250 ppp375 ppp800
#> 0 0 80.5 100.0 100.0 100.0 85.1 66.8 89.3 100.0 100.0
#> 1 1 80.5 100.0 100.0 100.0 85.1 66.8 89.3 100.0 100.0
#> 2 2 80.5 100.0 100.0 100.0 85.1 66.8 89.3 100.0 100.0
#> 3 3 80.5 100.0 100.0 100.0 85.1 66.8 89.3 100.0 100.0
#> 4 4 80.5 100.0 100.0 100.0 85.1 66.8 89.3 100.0 100.0
#> 5 5 61.8 97.6 100.0 100.0 71.8 37.7 89.3 99.5 100.0
#> 6 6 61.8 97.6 100.0 100.0 71.8 37.7 89.3 99.5 100.0
#> 7 7 61.8 97.6 100.0 100.0 71.8 37.7 89.3 99.5 100.0
#> 8 8 61.8 97.6 100.0 100.0 71.8 37.7 89.3 99.5 100.0
#> 9 9 61.8 97.6 100.0 100.0 71.8 37.7 89.3 99.5 100.0
#> 10 10 52.1 93.7 100.0 100.0 60.7 28.4 84.3 98.7 100.0
#> 11 11 52.1 93.7 100.0 100.0 60.7 28.4 84.3 98.7 100.0
#> 12 12 52.1 93.7 100.0 100.0 60.7 28.4 84.3 98.7 100.0
#> 13 13 52.1 93.7 100.0 100.0 60.7 28.4 84.3 98.7 100.0
#> 14 14 52.1 93.7 100.0 100.0 60.7 28.4 84.3 98.7 100.0
#> 15 15 43.4 87.6 98.7 100.0 53.0 13.7 78.6 96.3 100.0
#> 16 16 43.4 87.6 98.7 100.0 53.0 13.7 78.6 96.3 100.0
#> 17 17 43.4 87.6 98.7 100.0 53.0 13.7 78.6 96.3 100.0
#> 18 18 43.4 87.6 98.7 100.0 53.0 13.7 78.6 96.3 100.0
#> 19 19 43.4 87.6 98.7 100.0 53.0 13.7 78.6 96.3 100.0
#> 20 20 21.4 71.6 98.3 99.9 34.4 5.7 62.5 92.8 100.0
#> 21 21 21.4 71.6 98.3 99.9 34.4 5.7 62.5 92.8 100.0
#> 22 22 21.4 71.6 98.3 99.9 34.4 5.7 62.5 92.8 100.0
#> 23 23 21.4 71.6 98.3 99.9 34.4 5.7 62.5 92.8 100.0
#> 24 24 21.4 71.6 98.3 99.9 34.4 5.7 62.5 92.8 100.0
#> 25 25 14.2 67.7 94.4 99.4 24.5 2.7 48.5 89.3 100.0
#> 26 26 14.2 67.7 94.4 99.4 24.5 2.7 48.5 89.3 100.0
#> 27 27 14.2 67.7 94.4 99.4 24.5 2.7 48.5 89.3 100.0
#> 28 28 14.2 67.7 94.4 99.4 24.5 2.7 48.5 89.3 100.0
#> 29 29 14.2 67.7 94.4 99.4 24.5 2.7 48.5 89.3 100.0
#> 30 30 11.1 59.3 90.6 98.4 21.6 1.1 44.5 78.9 100.0
#> 31 31 11.1 59.3 90.6 98.4 21.6 1.1 44.5 78.9 100.0
#> 32 32 11.1 59.3 90.6 98.4 21.6 1.1 44.5 78.9 100.0
#> 33 33 11.1 59.3 90.6 98.4 21.6 1.1 44.5 78.9 100.0
#> 34 34 11.1 59.3 90.6 98.4 21.6 1.1 44.5 78.9 100.0
#> 35 35 4.1 40.4 81.5 96.9 11.1 0.8 21.9 70.9 99.9
#> 36 36 4.1 40.4 81.5 96.9 11.1 0.8 21.9 70.9 99.9
#> 37 37 4.1 40.4 81.5 96.9 11.1 0.8 21.9 70.9 99.9
#> 38 38 4.1 40.4 81.5 96.9 11.1 0.8 21.9 70.9 99.9
#> 39 39 4.1 40.4 81.5 96.9 11.1 0.8 21.9 70.9 99.9
#> 40 40 2.9 21.3 62.6 89.0 6.8 0.4 12.1 49.2 98.6
#> 41 41 2.9 21.3 62.6 89.0 6.8 0.4 12.1 49.2 98.6
#> 42 42 2.9 21.3 62.6 89.0 6.8 0.4 12.1 49.2 98.6
#> 43 43 2.9 21.3 62.6 89.0 6.8 0.4 12.1 49.2 98.6
#> 44 44 2.9 21.3 62.6 89.0 6.8 0.4 12.1 49.2 98.6
#> 45 45 0.4 14.6 54.3 80.3 4.0 0.0 7.9 37.6 94.4
#> 46 46 0.4 14.6 54.3 80.3 4.0 0.0 7.9 37.6 94.4
#> 47 47 0.4 14.6 54.3 80.3 4.0 0.0 7.9 37.6 94.4
#> 48 48 0.4 14.6 54.3 80.3 4.0 0.0 7.9 37.6 94.4
#> 49 49 0.4 14.6 54.3 80.3 4.0 0.0 7.9 37.6 94.4
#> 50 50 0.0 6.7 43.4 70.2 1.0 0.0 2.9 25.7 89.8
#> 51 51 0.0 6.7 43.4 70.2 1.0 0.0 2.9 25.7 89.8
#> 52 52 0.0 6.7 43.4 70.2 1.0 0.0 2.9 25.7 89.8
#> 53 53 0.0 6.7 43.4 70.2 1.0 0.0 2.9 25.7 89.8
#> 54 54 0.0 6.7 43.4 70.2 1.0 0.0 2.9 25.7 89.8
#> 55 55 0.0 3.1 27.8 55.7 0.2 0.0 0.8 16.5 86.2
#> 56 56 0.0 3.1 27.8 55.7 0.2 0.0 0.8 16.5 86.2
#> 57 57 0.0 3.1 27.8 55.7 0.2 0.0 0.8 16.5 86.2
#> 58 58 0.0 3.1 27.8 55.7 0.2 0.0 0.8 16.5 86.2
#> 59 59 0.0 3.1 27.8 55.7 0.2 0.0 0.8 16.5 86.2
#> 60 60 0.0 1.3 16.1 41.7 0.2 0.0 0.3 8.0 74.3
#> 61 61 0.0 1.3 16.1 41.7 0.2 0.0 0.3 8.0 74.3
#> 62 62 0.0 1.3 16.1 41.7 0.2 0.0 0.3 8.0 74.3
#> 63 63 0.0 1.3 16.1 41.7 0.2 0.0 0.3 8.0 74.3
#> 64 64 0.0 1.3 16.1 41.7 0.2 0.0 0.3 8.0 74.3
#> 65 65 0.0 0.2 7.6 28.1 0.0 0.0 0.0 3.9 58.2
#> 66 66 0.0 0.2 7.6 28.1 0.0 0.0 0.0 3.9 58.2
#> 67 67 0.0 0.2 7.6 28.1 0.0 0.0 0.0 3.9 58.2
#> 68 68 0.0 0.2 7.6 28.1 0.0 0.0 0.0 3.9 58.2
#> 69 69 0.0 0.2 7.6 28.1 0.0 0.0 0.0 3.9 58.2
#> 70 70 0.0 0.0 6.3 12.0 0.0 0.0 0.0 1.6 38.7
#> 71 71 0.0 0.0 6.3 12.0 0.0 0.0 0.0 1.6 38.7
#> 72 72 0.0 0.0 6.3 12.0 0.0 0.0 0.0 1.6 38.7
#> 73 73 0.0 0.0 6.3 12.0 0.0 0.0 0.0 1.6 38.7
#> 74 74 0.0 0.0 6.3 12.0 0.0 0.0 0.0 1.6 38.7
#> 75 75 0.0 0.0 0.2 5.8 0.0 0.0 0.0 0.0 27.7
#> 76 76 0.0 0.0 0.2 5.8 0.0 0.0 0.0 0.0 27.7
#> 77 77 0.0 0.0 0.2 5.8 0.0 0.0 0.0 0.0 27.7
#> 78 78 0.0 0.0 0.2 5.8 0.0 0.0 0.0 0.0 27.7
#> 79 79 0.0 0.0 0.2 5.8 0.0 0.0 0.0 0.0 27.7
#> 80 80 0.0 0.0 0.0 4.6 0.0 0.0 0.0 0.0 25.2
#> 81 81 0.0 0.0 0.0 4.6 0.0 0.0 0.0 0.0 25.2
#> 82 82 0.0 0.0 0.0 4.6 0.0 0.0 0.0 0.0 25.2
#> 83 83 0.0 0.0 0.0 4.6 0.0 0.0 0.0 0.0 25.2
#> 84 84 0.0 0.0 0.0 4.6 0.0 0.0 0.0 0.0 25.2
#> 85 85 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 9.3
#> 86 86 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 9.3
#> 87 87 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 9.3
#> 88 88 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 9.3
#> 89 89 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 9.3
#> 90 90 0.0 0.0 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 0.0 0.0
#> 92 92 0.0 0.0 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 0.0 0.0
#> 94 94 0.0 0.0 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 0.0 0.0
#> 96 96 0.0 0.0 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 0.0 0.0
#> 98 98 0.0 0.0 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 0.0 0.0
#> 100 100 0.0 0.0 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
ppiNIC2013[ppiNIC2013$score == ppiScore, ]
#> score nlFood nl100 nl150 nl200 extreme ppp125 ppp250 ppp375 ppp800
#> 50 50 0 6.7 43.4 70.2 1 0 2.9 25.7 89.8
# Use subset() function to get the row of poverty probabilities corresponding
# to specific PPI score
ppiScore <- 50
subset(ppiNIC2013, score == ppiScore)
#> score nlFood nl100 nl150 nl200 extreme ppp125 ppp250 ppp375 ppp800
#> 50 50 0 6.7 43.4 70.2 1 0 2.9 25.7 89.8
# 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
ppiNIC2013[ppiNIC2013$score == ppiScore, "nl100"]
#> [1] 6.7