Poverty Probability Index (PPI) lookup table for Kenya
Format
A data frame with 11 columns and 101 rows:
scorePPI score
nlFoodFood poverty line
nl100National poverty line (100%)
nl150National poverty line (150%)
extremeUSAID extreme poverty
ppp125Below $1.25 per day purchasing power parity (2005)
ppp250Below $2.50 per day purchasing power parity (2005)
ppp400Below $4.00 per day purchasing power parity (2005)
ppp844Below $8.44 per day purchasing power parity (2005)
ppp190Below $1.90 per day purchasing power parity (2011)
ppp310Below $3.10 per day purchasing power parity (2011)
Examples
# Access Kenya PPI table
ppiKEN2011
#> score nlFood nl100 nl150 extreme ppp125 ppp250 ppp400 ppp844 ppp190 ppp310
#> 0 0 95.4 95.4 100.0 91.5 100.0 100.0 100.0 100.0 100.0 100.0
#> 1 1 95.4 95.4 100.0 91.5 100.0 100.0 100.0 100.0 100.0 100.0
#> 2 2 95.4 95.4 100.0 91.5 100.0 100.0 100.0 100.0 100.0 100.0
#> 3 3 95.4 95.4 100.0 91.5 100.0 100.0 100.0 100.0 100.0 100.0
#> 4 4 95.4 95.4 100.0 91.5 100.0 100.0 100.0 100.0 100.0 100.0
#> 5 5 72.6 95.0 100.0 73.9 97.5 100.0 100.0 100.0 93.3 100.0
#> 6 6 72.6 95.0 100.0 73.9 97.5 100.0 100.0 100.0 93.3 100.0
#> 7 7 72.6 95.0 100.0 73.9 97.5 100.0 100.0 100.0 93.3 100.0
#> 8 8 72.6 95.0 100.0 73.9 97.5 100.0 100.0 100.0 93.3 100.0
#> 9 9 72.6 95.0 100.0 73.9 97.5 100.0 100.0 100.0 93.3 100.0
#> 10 10 57.1 85.8 96.5 57.9 86.2 99.6 100.0 100.0 79.3 96.8
#> 11 11 57.1 85.8 96.5 57.9 86.2 99.6 100.0 100.0 79.3 96.8
#> 12 12 57.1 85.8 96.5 57.9 86.2 99.6 100.0 100.0 79.3 96.8
#> 13 13 57.1 85.8 96.5 57.9 86.2 99.6 100.0 100.0 79.3 96.8
#> 14 14 57.1 85.8 96.5 57.9 86.2 99.6 100.0 100.0 79.3 96.8
#> 15 15 47.4 82.5 95.7 46.9 86.0 99.3 99.7 100.0 79.5 96.4
#> 16 16 47.4 82.5 95.7 46.9 86.0 99.3 99.7 100.0 79.5 96.4
#> 17 17 47.4 82.5 95.7 46.9 86.0 99.3 99.7 100.0 79.5 96.4
#> 18 18 47.4 82.5 95.7 46.9 86.0 99.3 99.7 100.0 79.5 96.4
#> 19 19 47.4 82.5 95.7 46.9 86.0 99.3 99.7 100.0 79.5 96.4
#> 20 20 37.8 77.3 93.2 46.3 81.9 99.0 99.5 100.0 67.6 92.5
#> 21 21 37.8 77.3 93.2 46.3 81.9 99.0 99.5 100.0 67.6 92.5
#> 22 22 37.8 77.3 93.2 46.3 81.9 99.0 99.5 100.0 67.6 92.5
#> 23 23 37.8 77.3 93.2 46.3 81.9 99.0 99.5 100.0 67.6 92.5
#> 24 24 37.8 77.3 93.2 46.3 81.9 99.0 99.5 100.0 67.6 92.5
#> 25 25 32.8 67.9 89.1 36.5 70.1 96.2 99.4 100.0 63.2 87.9
#> 26 26 32.8 67.9 89.1 36.5 70.1 96.2 99.4 100.0 63.2 87.9
#> 27 27 32.8 67.9 89.1 36.5 70.1 96.2 99.4 100.0 63.2 87.9
#> 28 28 32.8 67.9 89.1 36.5 70.1 96.2 99.4 100.0 63.2 87.9
#> 29 29 32.8 67.9 89.1 36.5 70.1 96.2 99.4 100.0 63.2 87.9
#> 30 30 23.5 63.7 83.3 27.6 63.1 95.4 98.6 99.9 52.4 85.7
#> 31 31 23.5 63.7 83.3 27.6 63.1 95.4 98.6 99.9 52.4 85.7
#> 32 32 23.5 63.7 83.3 27.6 63.1 95.4 98.6 99.9 52.4 85.7
#> 33 33 23.5 63.7 83.3 27.6 63.1 95.4 98.6 99.9 52.4 85.7
#> 34 34 23.5 63.7 83.3 27.6 63.1 95.4 98.6 99.9 52.4 85.7
#> 35 35 12.7 46.4 75.7 16.8 49.0 91.8 98.2 99.9 39.4 73.0
#> 36 36 12.7 46.4 75.7 16.8 49.0 91.8 98.2 99.9 39.4 73.0
#> 37 37 12.7 46.4 75.7 16.8 49.0 91.8 98.2 99.9 39.4 73.0
#> 38 38 12.7 46.4 75.7 16.8 49.0 91.8 98.2 99.9 39.4 73.0
#> 39 39 12.7 46.4 75.7 16.8 49.0 91.8 98.2 99.9 39.4 73.0
#> 40 40 9.9 36.9 64.8 15.4 35.1 82.0 95.5 99.8 27.5 62.6
#> 41 41 9.9 36.9 64.8 15.4 35.1 82.0 95.5 99.8 27.5 62.6
#> 42 42 9.9 36.9 64.8 15.4 35.1 82.0 95.5 99.8 27.5 62.6
#> 43 43 9.9 36.9 64.8 15.4 35.1 82.0 95.5 99.8 27.5 62.6
#> 44 44 9.9 36.9 64.8 15.4 35.1 82.0 95.5 99.8 27.5 62.6
#> 45 45 4.7 30.0 64.3 7.4 24.9 75.3 93.8 99.5 14.4 54.6
#> 46 46 4.7 30.0 64.3 7.4 24.9 75.3 93.8 99.5 14.4 54.6
#> 47 47 4.7 30.0 64.3 7.4 24.9 75.3 93.8 99.5 14.4 54.6
#> 48 48 4.7 30.0 64.3 7.4 24.9 75.3 93.8 99.5 14.4 54.6
#> 49 49 4.7 30.0 64.3 7.4 24.9 75.3 93.8 99.5 14.4 54.6
#> 50 50 1.9 17.8 49.4 2.5 9.6 61.1 88.5 98.7 5.9 30.2
#> 51 51 1.9 17.8 49.4 2.5 9.6 61.1 88.5 98.7 5.9 30.2
#> 52 52 1.9 17.8 49.4 2.5 9.6 61.1 88.5 98.7 5.9 30.2
#> 53 53 1.9 17.8 49.4 2.5 9.6 61.1 88.5 98.7 5.9 30.2
#> 54 54 1.9 17.8 49.4 2.5 9.6 61.1 88.5 98.7 5.9 30.2
#> 55 55 0.9 13.9 41.8 2.3 6.8 44.4 75.5 95.6 4.2 22.5
#> 56 56 0.9 13.9 41.8 2.3 6.8 44.4 75.5 95.6 4.2 22.5
#> 57 57 0.9 13.9 41.8 2.3 6.8 44.4 75.5 95.6 4.2 22.5
#> 58 58 0.9 13.9 41.8 2.3 6.8 44.4 75.5 95.6 4.2 22.5
#> 59 59 0.9 13.9 41.8 2.3 6.8 44.4 75.5 95.6 4.2 22.5
#> 60 60 0.5 6.1 32.3 0.3 1.4 29.0 63.2 94.6 0.9 10.2
#> 61 61 0.5 6.1 32.3 0.3 1.4 29.0 63.2 94.6 0.9 10.2
#> 62 62 0.5 6.1 32.3 0.3 1.4 29.0 63.2 94.6 0.9 10.2
#> 63 63 0.5 6.1 32.3 0.3 1.4 29.0 63.2 94.6 0.9 10.2
#> 64 64 0.5 6.1 32.3 0.3 1.4 29.0 63.2 94.6 0.9 10.2
#> 65 65 0.9 4.6 20.4 1.2 0.8 20.3 47.4 87.5 0.4 7.0
#> 66 66 0.9 4.6 20.4 1.2 0.8 20.3 47.4 87.5 0.4 7.0
#> 67 67 0.9 4.6 20.4 1.2 0.8 20.3 47.4 87.5 0.4 7.0
#> 68 68 0.9 4.6 20.4 1.2 0.8 20.3 47.4 87.5 0.4 7.0
#> 69 69 0.9 4.6 20.4 1.2 0.8 20.3 47.4 87.5 0.4 7.0
#> 70 70 0.2 3.8 11.1 0.2 0.1 8.9 31.7 78.7 0.2 1.7
#> 71 71 0.2 3.8 11.1 0.2 0.1 8.9 31.7 78.7 0.2 1.7
#> 72 72 0.2 3.8 11.1 0.2 0.1 8.9 31.7 78.7 0.2 1.7
#> 73 73 0.2 3.8 11.1 0.2 0.1 8.9 31.7 78.7 0.2 1.7
#> 74 74 0.2 3.8 11.1 0.2 0.1 8.9 31.7 78.7 0.2 1.7
#> 75 75 0.0 0.0 4.1 0.0 0.1 5.4 21.1 70.6 0.0 2.3
#> 76 76 0.0 0.0 4.1 0.0 0.1 5.4 21.1 70.6 0.0 2.3
#> 77 77 0.0 0.0 4.1 0.0 0.1 5.4 21.1 70.6 0.0 2.3
#> 78 78 0.0 0.0 4.1 0.0 0.1 5.4 21.1 70.6 0.0 2.3
#> 79 79 0.0 0.0 4.1 0.0 0.1 5.4 21.1 70.6 0.0 2.3
#> 80 80 0.4 0.4 6.7 0.4 0.1 3.0 10.8 60.0 0.4 0.4
#> 81 81 0.4 0.4 6.7 0.4 0.1 3.0 10.8 60.0 0.4 0.4
#> 82 82 0.4 0.4 6.7 0.4 0.1 3.0 10.8 60.0 0.4 0.4
#> 83 83 0.4 0.4 6.7 0.4 0.1 3.0 10.8 60.0 0.4 0.4
#> 84 84 0.4 0.4 6.7 0.4 0.1 3.0 10.8 60.0 0.4 0.4
#> 85 85 0.0 0.0 4.1 0.0 0.0 1.2 4.7 43.3 0.0 0.0
#> 86 86 0.0 0.0 4.1 0.0 0.0 1.2 4.7 43.3 0.0 0.0
#> 87 87 0.0 0.0 4.1 0.0 0.0 1.2 4.7 43.3 0.0 0.0
#> 88 88 0.0 0.0 4.1 0.0 0.0 1.2 4.7 43.3 0.0 0.0
#> 89 89 0.0 0.0 4.1 0.0 0.0 1.2 4.7 43.3 0.0 0.0
#> 90 90 0.0 0.0 0.0 0.0 0.0 0.0 0.0 24.3 0.0 0.0
#> 91 91 0.0 0.0 0.0 0.0 0.0 0.0 0.0 24.3 0.0 0.0
#> 92 92 0.0 0.0 0.0 0.0 0.0 0.0 0.0 24.3 0.0 0.0
#> 93 93 0.0 0.0 0.0 0.0 0.0 0.0 0.0 24.3 0.0 0.0
#> 94 94 0.0 0.0 0.0 0.0 0.0 0.0 0.0 24.3 0.0 0.0
#> 95 95 0.0 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 0.0
#> 97 97 0.0 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 0.0
#> 99 99 0.0 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 0.0
# Given a specific PPI score (from 0 - 100), get the row of poverty
# probabilities from PPI table it corresponds to
ppiScore <- 50
ppiKEN2011[ppiKEN2011$score == ppiScore, ]
#> score nlFood nl100 nl150 extreme ppp125 ppp250 ppp400 ppp844 ppp190 ppp310
#> 50 50 1.9 17.8 49.4 2.5 9.6 61.1 88.5 98.7 5.9 30.2
# Use subset() function to get the row of poverty probabilities corresponding
# to specific PPI score
ppiScore <- 50
subset(ppiKEN2011, score == ppiScore)
#> score nlFood nl100 nl150 extreme ppp125 ppp250 ppp400 ppp844 ppp190 ppp310
#> 50 50 1.9 17.8 49.4 2.5 9.6 61.1 88.5 98.7 5.9 30.2
# 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
ppiKEN2011[ppiKEN2011$score == ppiScore, "extreme"]
#> [1] 2.5