Poverty Probability Index (PPI) lookup table for Benin
Format
A data frame with 7 columns and 101 rows:
scorePPI score
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 Benin PPI table
ppiBEN2012
#> score nl100 nl150 nl200 extreme ppp125 ppp250
#> 0 0 87.1 100.0 100.0 49.7 94.0 100.0
#> 1 1 87.1 100.0 100.0 49.7 94.0 100.0
#> 2 2 87.1 100.0 100.0 49.7 94.0 100.0
#> 3 3 87.1 100.0 100.0 49.7 94.0 100.0
#> 4 4 87.1 100.0 100.0 49.7 94.0 100.0
#> 5 5 82.6 93.9 100.0 49.7 85.8 100.0
#> 6 6 82.6 93.9 100.0 49.7 85.8 100.0
#> 7 7 82.6 93.9 100.0 49.7 85.8 100.0
#> 8 8 82.6 93.9 100.0 49.7 85.8 100.0
#> 9 9 82.6 93.9 100.0 49.7 85.8 100.0
#> 10 10 68.7 88.1 95.4 41.1 74.6 96.8
#> 11 11 68.7 88.1 95.4 41.1 74.6 96.8
#> 12 12 68.7 88.1 95.4 41.1 74.6 96.8
#> 13 13 68.7 88.1 95.4 41.1 74.6 96.8
#> 14 14 68.7 88.1 95.4 41.1 74.6 96.8
#> 15 15 64.8 87.5 95.3 35.1 70.4 96.8
#> 16 16 64.8 87.5 95.3 35.1 70.4 96.8
#> 17 17 64.8 87.5 95.3 35.1 70.4 96.8
#> 18 18 64.8 87.5 95.3 35.1 70.4 96.8
#> 19 19 64.8 87.5 95.3 35.1 70.4 96.8
#> 20 20 53.2 83.3 92.9 25.3 62.2 94.7
#> 21 21 53.2 83.3 92.9 25.3 62.2 94.7
#> 22 22 53.2 83.3 92.9 25.3 62.2 94.7
#> 23 23 53.2 83.3 92.9 25.3 62.2 94.7
#> 24 24 53.2 83.3 92.9 25.3 62.2 94.7
#> 25 25 44.4 74.6 89.6 20.4 49.4 91.9
#> 26 26 44.4 74.6 89.6 20.4 49.4 91.9
#> 27 27 44.4 74.6 89.6 20.4 49.4 91.9
#> 28 28 44.4 74.6 89.6 20.4 49.4 91.9
#> 29 29 44.4 74.6 89.6 20.4 49.4 91.9
#> 30 30 33.4 67.9 85.3 12.8 39.4 88.5
#> 31 31 33.4 67.9 85.3 12.8 39.4 88.5
#> 32 32 33.4 67.9 85.3 12.8 39.4 88.5
#> 33 33 33.4 67.9 85.3 12.8 39.4 88.5
#> 34 34 33.4 67.9 85.3 12.8 39.4 88.5
#> 35 35 22.7 56.3 77.0 8.2 28.4 82.0
#> 36 36 22.7 56.3 77.0 8.2 28.4 82.0
#> 37 37 22.7 56.3 77.0 8.2 28.4 82.0
#> 38 38 22.7 56.3 77.0 8.2 28.4 82.0
#> 39 39 22.7 56.3 77.0 8.2 28.4 82.0
#> 40 40 15.6 45.2 69.3 4.7 19.1 74.1
#> 41 41 15.6 45.2 69.3 4.7 19.1 74.1
#> 42 42 15.6 45.2 69.3 4.7 19.1 74.1
#> 43 43 15.6 45.2 69.3 4.7 19.1 74.1
#> 44 44 15.6 45.2 69.3 4.7 19.1 74.1
#> 45 45 11.4 37.9 62.6 3.8 14.4 67.5
#> 46 46 11.4 37.9 62.6 3.8 14.4 67.5
#> 47 47 11.4 37.9 62.6 3.8 14.4 67.5
#> 48 48 11.4 37.9 62.6 3.8 14.4 67.5
#> 49 49 11.4 37.9 62.6 3.8 14.4 67.5
#> 50 50 6.1 25.1 46.6 2.1 7.9 52.4
#> 51 51 6.1 25.1 46.6 2.1 7.9 52.4
#> 52 52 6.1 25.1 46.6 2.1 7.9 52.4
#> 53 53 6.1 25.1 46.6 2.1 7.9 52.4
#> 54 54 6.1 25.1 46.6 2.1 7.9 52.4
#> 55 55 4.3 16.2 34.5 0.9 5.7 38.9
#> 56 56 4.3 16.2 34.5 0.9 5.7 38.9
#> 57 57 4.3 16.2 34.5 0.9 5.7 38.9
#> 58 58 4.3 16.2 34.5 0.9 5.7 38.9
#> 59 59 4.3 16.2 34.5 0.9 5.7 38.9
#> 60 60 2.2 10.3 23.9 0.5 3.1 28.0
#> 61 61 2.2 10.3 23.9 0.5 3.1 28.0
#> 62 62 2.2 10.3 23.9 0.5 3.1 28.0
#> 63 63 2.2 10.3 23.9 0.5 3.1 28.0
#> 64 64 2.2 10.3 23.9 0.5 3.1 28.0
#> 65 65 1.1 4.9 15.5 0.3 1.1 18.6
#> 66 66 1.1 4.9 15.5 0.3 1.1 18.6
#> 67 67 1.1 4.9 15.5 0.3 1.1 18.6
#> 68 68 1.1 4.9 15.5 0.3 1.1 18.6
#> 69 69 1.1 4.9 15.5 0.3 1.1 18.6
#> 70 70 1.1 3.4 12.0 0.2 1.1 15.1
#> 71 71 1.1 3.4 12.0 0.2 1.1 15.1
#> 72 72 1.1 3.4 12.0 0.2 1.1 15.1
#> 73 73 1.1 3.4 12.0 0.2 1.1 15.1
#> 74 74 1.1 3.4 12.0 0.2 1.1 15.1
#> 75 75 0.3 2.4 5.5 0.1 0.3 6.1
#> 76 76 0.3 2.4 5.5 0.1 0.3 6.1
#> 77 77 0.3 2.4 5.5 0.1 0.3 6.1
#> 78 78 0.3 2.4 5.5 0.1 0.3 6.1
#> 79 79 0.3 2.4 5.5 0.1 0.3 6.1
#> 80 80 0.0 1.3 5.1 0.0 0.0 6.1
#> 81 81 0.0 1.3 5.1 0.0 0.0 6.1
#> 82 82 0.0 1.3 5.1 0.0 0.0 6.1
#> 83 83 0.0 1.3 5.1 0.0 0.0 6.1
#> 84 84 0.0 1.3 5.1 0.0 0.0 6.1
#> 85 85 0.0 0.5 1.9 0.0 0.0 2.3
#> 86 86 0.0 0.5 1.9 0.0 0.0 2.3
#> 87 87 0.0 0.5 1.9 0.0 0.0 2.3
#> 88 88 0.0 0.5 1.9 0.0 0.0 2.3
#> 89 89 0.0 0.5 1.9 0.0 0.0 2.3
#> 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
ppiBEN2012[ppiBEN2012$score == ppiScore, ]
#> score nl100 nl150 nl200 extreme ppp125 ppp250
#> 50 50 6.1 25.1 46.6 2.1 7.9 52.4
# Use subset() function to get the row of poverty probabilities corresponding
# to specific PPI score
ppiScore <- 50
subset(ppiBEN2012, score == ppiScore)
#> score nl100 nl150 nl200 extreme ppp125 ppp250
#> 50 50 6.1 25.1 46.6 2.1 7.9 52.4
# Given a specific PPI score (from 0 - 100), get a poverty probability
# based on a specific poverty definition. In this example, the USAID
# extreme poverty definition
ppiScore <- 50
ppiBEN2012[ppiBEN2012$score == ppiScore, "nl100"]
#> [1] 6.1