Poverty Probability Index (PPI) lookup table for Afghanistan
Format
A data frame with 7 columns and 101 rows:
scorePPI score
nlNational poverty line
nu150National poverty line (150%)
nu200National 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 Afghanistan PPI table
ppiAFG2012
#> score nl nu150 nu200 extreme ppp125 ppp250
#> 0 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
#> 2 2 100.0 100.0 100.0 100.0 100.0 100.0
#> 3 3 100.0 100.0 100.0 100.0 100.0 100.0
#> 4 4 100.0 100.0 100.0 100.0 100.0 100.0
#> 5 5 68.8 90.2 96.7 44.4 22.2 79.0
#> 6 6 68.8 90.2 96.7 44.4 22.2 79.0
#> 7 7 68.8 90.2 96.7 44.4 22.2 79.0
#> 8 8 68.8 90.2 96.7 44.4 22.2 79.0
#> 9 9 68.8 90.2 96.7 44.4 22.2 79.0
#> 10 10 66.1 89.5 96.5 39.2 19.5 82.8
#> 11 11 66.1 89.5 96.5 39.2 19.5 82.8
#> 12 12 66.1 89.5 96.5 39.2 19.5 82.8
#> 13 13 66.1 89.5 96.5 39.2 19.5 82.8
#> 14 14 66.1 89.5 96.5 39.2 19.5 82.8
#> 15 15 59.5 89.1 97.2 35.2 13.6 79.9
#> 16 16 59.5 89.1 97.2 35.2 13.6 79.9
#> 17 17 59.5 89.1 97.2 35.2 13.6 79.9
#> 18 18 59.5 89.1 97.2 35.2 13.6 79.9
#> 19 19 59.5 89.1 97.2 35.2 13.6 79.9
#> 20 20 51.3 85.5 96.4 28.8 10.7 72.5
#> 21 21 51.3 85.5 96.4 28.8 10.7 72.5
#> 22 22 51.3 85.5 96.4 28.8 10.7 72.5
#> 23 23 51.3 85.5 96.4 28.8 10.7 72.5
#> 24 24 51.3 85.5 96.4 28.8 10.7 72.5
#> 25 25 43.5 81.1 93.2 20.0 6.8 68.6
#> 26 26 43.5 81.1 93.2 20.0 6.8 68.6
#> 27 27 43.5 81.1 93.2 20.0 6.8 68.6
#> 28 28 43.5 81.1 93.2 20.0 6.8 68.6
#> 29 29 43.5 81.1 93.2 20.0 6.8 68.6
#> 30 30 31.9 74.5 90.4 13.6 3.6 57.3
#> 31 31 31.9 74.5 90.4 13.6 3.6 57.3
#> 32 32 31.9 74.5 90.4 13.6 3.6 57.3
#> 33 33 31.9 74.5 90.4 13.6 3.6 57.3
#> 34 34 31.9 74.5 90.4 13.6 3.6 57.3
#> 35 35 24.6 66.9 87.3 7.9 1.8 46.9
#> 36 36 24.6 66.9 87.3 7.9 1.8 46.9
#> 37 37 24.6 66.9 87.3 7.9 1.8 46.9
#> 38 38 24.6 66.9 87.3 7.9 1.8 46.9
#> 39 39 24.6 66.9 87.3 7.9 1.8 46.9
#> 40 40 15.2 58.0 82.8 4.5 0.5 35.8
#> 41 41 15.2 58.0 82.8 4.5 0.5 35.8
#> 42 42 15.2 58.0 82.8 4.5 0.5 35.8
#> 43 43 15.2 58.0 82.8 4.5 0.5 35.8
#> 44 44 15.2 58.0 82.8 4.5 0.5 35.8
#> 45 45 11.4 47.9 73.4 4.2 0.5 26.2
#> 46 46 11.4 47.9 73.4 4.2 0.5 26.2
#> 47 47 11.4 47.9 73.4 4.2 0.5 26.2
#> 48 48 11.4 47.9 73.4 4.2 0.5 26.2
#> 49 49 11.4 47.9 73.4 4.2 0.5 26.2
#> 50 50 6.0 37.2 68.4 2.6 0.9 19.3
#> 51 51 6.0 37.2 68.4 2.6 0.9 19.3
#> 52 52 6.0 37.2 68.4 2.6 0.9 19.3
#> 53 53 6.0 37.2 68.4 2.6 0.9 19.3
#> 54 54 6.0 37.2 68.4 2.6 0.9 19.3
#> 55 55 2.7 26.1 61.3 0.5 0.0 12.9
#> 56 56 2.7 26.1 61.3 0.5 0.0 12.9
#> 57 57 2.7 26.1 61.3 0.5 0.0 12.9
#> 58 58 2.7 26.1 61.3 0.5 0.0 12.9
#> 59 59 2.7 26.1 61.3 0.5 0.0 12.9
#> 60 60 0.9 21.0 50.4 0.5 0.0 7.1
#> 61 61 0.9 21.0 50.4 0.5 0.0 7.1
#> 62 62 0.9 21.0 50.4 0.5 0.0 7.1
#> 63 63 0.9 21.0 50.4 0.5 0.0 7.1
#> 64 64 0.9 21.0 50.4 0.5 0.0 7.1
#> 65 65 0.0 14.3 37.1 0.0 0.0 6.0
#> 66 66 0.0 14.3 37.1 0.0 0.0 6.0
#> 67 67 0.0 14.3 37.1 0.0 0.0 6.0
#> 68 68 0.0 14.3 37.1 0.0 0.0 6.0
#> 69 69 0.0 14.3 37.1 0.0 0.0 6.0
#> 70 70 3.0 14.3 29.2 0.0 0.0 6.7
#> 71 71 3.0 14.3 29.2 0.0 0.0 6.7
#> 72 72 3.0 14.3 29.2 0.0 0.0 6.7
#> 73 73 3.0 14.3 29.2 0.0 0.0 6.7
#> 74 74 3.0 14.3 29.2 0.0 0.0 6.7
#> 75 75 0.0 1.4 5.1 0.0 0.0 1.4
#> 76 76 0.0 1.4 5.1 0.0 0.0 1.4
#> 77 77 0.0 1.4 5.1 0.0 0.0 1.4
#> 78 78 0.0 1.4 5.1 0.0 0.0 1.4
#> 79 79 0.0 1.4 5.1 0.0 0.0 1.4
#> 80 80 0.0 0.0 9.5 0.0 0.0 0.0
#> 81 81 0.0 0.0 9.5 0.0 0.0 0.0
#> 82 82 0.0 0.0 9.5 0.0 0.0 0.0
#> 83 83 0.0 0.0 9.5 0.0 0.0 0.0
#> 84 84 0.0 0.0 9.5 0.0 0.0 0.0
#> 85 85 0.0 0.0 15.2 0.0 0.0 0.0
#> 86 86 0.0 0.0 15.2 0.0 0.0 0.0
#> 87 87 0.0 0.0 15.2 0.0 0.0 0.0
#> 88 88 0.0 0.0 15.2 0.0 0.0 0.0
#> 89 89 0.0 0.0 15.2 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
ppiAFG2012[ppiAFG2012$score == ppiScore, ]
#> score nl nu150 nu200 extreme ppp125 ppp250
#> 50 50 6 37.2 68.4 2.6 0.9 19.3
# Use subset() function to get the row of poverty probabilities corresponding
# to specific PPI score
ppiScore <- 50
subset(ppiAFG2012, score == ppiScore)
#> score nl nu150 nu200 extreme ppp125 ppp250
#> 50 50 6 37.2 68.4 2.6 0.9 19.3
# 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
ppiAFG2012[ppiAFG2012$score == ppiScore, "extreme"]
#> [1] 2.6