Poverty Probability Index (PPI) lookup table for Pakistan
Format
A data frame with 10 columns and 101 rows:
scorePPI score
nl100National poverty line (100%)
nl50National poverty line (50%)
nl75National poverty line (75%)
nl125National poverty line (125%)
nl200National poverty line (200%)
extremeUSAID extreme poverty
ppp125Poorest half below 100 national
ppp250Below $1.25 per day purchasing power parity (2005)
ppp375Below $2.50 per day purchasing power parity (2005)
Examples
# Access Pakistan PPI table
ppiPAK2009
#> score nl100 nl50 nl75 nl125 nl200 extreme ppp125 ppp250 ppp375
#> 1 0 95.4 0.0 73.8 95.4 100.0 72.9 95.4 100.0 100.0
#> 2 1 95.4 0.0 73.8 95.4 100.0 72.9 95.4 100.0 100.0
#> 3 2 95.4 0.0 73.8 95.4 100.0 72.9 95.4 100.0 100.0
#> 4 3 95.4 0.0 73.8 95.4 100.0 72.9 95.4 100.0 100.0
#> 5 4 95.4 0.0 73.8 95.4 100.0 72.9 95.4 100.0 100.0
#> 6 5 95.1 2.4 71.2 97.9 100.0 68.4 95.0 100.0 100.0
#> 7 6 95.1 2.4 71.2 97.9 100.0 68.4 95.0 100.0 100.0
#> 8 7 95.1 2.4 71.2 97.9 100.0 68.4 95.0 100.0 100.0
#> 9 8 95.1 2.4 71.2 97.9 100.0 68.4 95.0 100.0 100.0
#> 10 9 95.1 2.4 71.2 97.9 100.0 68.4 95.0 100.0 100.0
#> 11 10 84.1 9.9 39.7 94.5 100.0 54.5 79.1 100.0 100.0
#> 12 11 84.1 9.9 39.7 94.5 100.0 54.5 79.1 100.0 100.0
#> 13 12 84.1 9.9 39.7 94.5 100.0 54.5 79.1 100.0 100.0
#> 14 13 84.1 9.9 39.7 94.5 100.0 54.5 79.1 100.0 100.0
#> 15 14 84.1 9.9 39.7 94.5 100.0 54.5 79.1 100.0 100.0
#> 16 15 68.0 5.8 38.9 91.3 99.6 43.1 67.5 99.2 99.6
#> 17 16 68.0 5.8 38.9 91.3 99.6 43.1 67.5 99.2 99.6
#> 18 17 68.0 5.8 38.9 91.3 99.6 43.1 67.5 99.2 99.6
#> 19 18 68.0 5.8 38.9 91.3 99.6 43.1 67.5 99.2 99.6
#> 20 19 68.0 5.8 38.9 91.3 99.6 43.1 67.5 99.2 99.6
#> 21 20 57.6 2.6 18.9 75.5 99.2 36.1 56.8 98.7 99.4
#> 22 21 57.6 2.6 18.9 75.5 99.2 36.1 56.8 98.7 99.4
#> 23 22 57.6 2.6 18.9 75.5 99.2 36.1 56.8 98.7 99.4
#> 24 23 57.6 2.6 18.9 75.5 99.2 36.1 56.8 98.7 99.4
#> 25 24 57.6 2.6 18.9 75.5 99.2 36.1 56.8 98.7 99.4
#> 26 25 47.1 1.0 12.7 78.0 97.3 25.0 47.5 96.0 100.0
#> 27 26 47.1 1.0 12.7 78.0 97.3 25.0 47.5 96.0 100.0
#> 28 27 47.1 1.0 12.7 78.0 97.3 25.0 47.5 96.0 100.0
#> 29 28 47.1 1.0 12.7 78.0 97.3 25.0 47.5 96.0 100.0
#> 30 29 47.1 1.0 12.7 78.0 97.3 25.0 47.5 96.0 100.0
#> 31 30 39.5 0.4 8.7 67.0 97.3 16.2 36.4 96.1 99.8
#> 32 31 39.5 0.4 8.7 67.0 97.3 16.2 36.4 96.1 99.8
#> 33 32 39.5 0.4 8.7 67.0 97.3 16.2 36.4 96.1 99.8
#> 34 33 39.5 0.4 8.7 67.0 97.3 16.2 36.4 96.1 99.8
#> 35 34 39.5 0.4 8.7 67.0 97.3 16.2 36.4 96.1 99.8
#> 36 35 29.8 0.1 5.8 55.8 91.4 12.9 27.2 91.4 98.5
#> 37 36 29.8 0.1 5.8 55.8 91.4 12.9 27.2 91.4 98.5
#> 38 37 29.8 0.1 5.8 55.8 91.4 12.9 27.2 91.4 98.5
#> 39 38 29.8 0.1 5.8 55.8 91.4 12.9 27.2 91.4 98.5
#> 40 39 29.8 0.1 5.8 55.8 91.4 12.9 27.2 91.4 98.5
#> 41 40 17.4 0.0 2.6 42.6 90.1 7.0 14.2 88.6 98.8
#> 42 41 17.4 0.0 2.6 42.6 90.1 7.0 14.2 88.6 98.8
#> 43 42 17.4 0.0 2.6 42.6 90.1 7.0 14.2 88.6 98.8
#> 44 43 17.4 0.0 2.6 42.6 90.1 7.0 14.2 88.6 98.8
#> 45 44 17.4 0.0 2.6 42.6 90.1 7.0 14.2 88.6 98.8
#> 46 45 16.9 0.9 4.6 38.4 87.0 8.0 12.0 84.6 97.0
#> 47 46 16.9 0.9 4.6 38.4 87.0 8.0 12.0 84.6 97.0
#> 48 47 16.9 0.9 4.6 38.4 87.0 8.0 12.0 84.6 97.0
#> 49 48 16.9 0.9 4.6 38.4 87.0 8.0 12.0 84.6 97.0
#> 50 49 16.9 0.9 4.6 38.4 87.0 8.0 12.0 84.6 97.0
#> 51 50 10.7 0.0 1.2 29.9 79.3 3.9 7.1 72.8 94.7
#> 52 51 10.7 0.0 1.2 29.9 79.3 3.9 7.1 72.8 94.7
#> 53 52 10.7 0.0 1.2 29.9 79.3 3.9 7.1 72.8 94.7
#> 54 53 10.7 0.0 1.2 29.9 79.3 3.9 7.1 72.8 94.7
#> 55 54 10.7 0.0 1.2 29.9 79.3 3.9 7.1 72.8 94.7
#> 56 55 7.4 0.2 0.3 18.9 66.4 2.8 4.0 58.4 91.4
#> 57 56 7.4 0.2 0.3 18.9 66.4 2.8 4.0 58.4 91.4
#> 58 57 7.4 0.2 0.3 18.9 66.4 2.8 4.0 58.4 91.4
#> 59 58 7.4 0.2 0.3 18.9 66.4 2.8 4.0 58.4 91.4
#> 60 59 7.4 0.2 0.3 18.9 66.4 2.8 4.0 58.4 91.4
#> 61 60 5.1 0.0 0.3 16.1 64.1 0.9 1.3 54.8 83.9
#> 62 61 5.1 0.0 0.3 16.1 64.1 0.9 1.3 54.8 83.9
#> 63 62 5.1 0.0 0.3 16.1 64.1 0.9 1.3 54.8 83.9
#> 64 63 5.1 0.0 0.3 16.1 64.1 0.9 1.3 54.8 83.9
#> 65 64 5.1 0.0 0.3 16.1 64.1 0.9 1.3 54.8 83.9
#> 66 65 0.7 0.0 0.0 7.9 57.2 0.4 0.7 48.2 81.2
#> 67 66 0.7 0.0 0.0 7.9 57.2 0.4 0.7 48.2 81.2
#> 68 67 0.7 0.0 0.0 7.9 57.2 0.4 0.7 48.2 81.2
#> 69 68 0.7 0.0 0.0 7.9 57.2 0.4 0.7 48.2 81.2
#> 70 69 0.7 0.0 0.0 7.9 57.2 0.4 0.7 48.2 81.2
#> 71 70 0.4 0.0 0.4 4.8 31.7 0.0 0.4 26.8 67.1
#> 72 71 0.4 0.0 0.4 4.8 31.7 0.0 0.4 26.8 67.1
#> 73 72 0.4 0.0 0.4 4.8 31.7 0.0 0.4 26.8 67.1
#> 74 73 0.4 0.0 0.4 4.8 31.7 0.0 0.4 26.8 67.1
#> 75 74 0.4 0.0 0.4 4.8 31.7 0.0 0.4 26.8 67.1
#> 76 75 1.1 0.0 0.0 3.2 31.5 0.0 0.8 26.0 51.6
#> 77 76 1.1 0.0 0.0 3.2 31.5 0.0 0.8 26.0 51.6
#> 78 77 1.1 0.0 0.0 3.2 31.5 0.0 0.8 26.0 51.6
#> 79 78 1.1 0.0 0.0 3.2 31.5 0.0 0.8 26.0 51.6
#> 80 79 1.1 0.0 0.0 3.2 31.5 0.0 0.8 26.0 51.6
#> 81 80 0.0 0.0 0.0 2.5 15.6 0.0 0.0 11.7 45.9
#> 82 81 0.0 0.0 0.0 2.5 15.6 0.0 0.0 11.7 45.9
#> 83 82 0.0 0.0 0.0 2.5 15.6 0.0 0.0 11.7 45.9
#> 84 83 0.0 0.0 0.0 2.5 15.6 0.0 0.0 11.7 45.9
#> 85 84 0.0 0.0 0.0 2.5 15.6 0.0 0.0 11.7 45.9
#> 86 85 0.0 0.0 0.0 0.0 20.9 0.0 0.0 16.1 50.8
#> 87 86 0.0 0.0 0.0 0.0 20.9 0.0 0.0 16.1 50.8
#> 88 87 0.0 0.0 0.0 0.0 20.9 0.0 0.0 16.1 50.8
#> 89 88 0.0 0.0 0.0 0.0 20.9 0.0 0.0 16.1 50.8
#> 90 89 0.0 0.0 0.0 0.0 20.9 0.0 0.0 16.1 50.8
#> 91 90 0.0 0.0 0.0 0.9 14.4 0.0 0.0 3.1 23.6
#> 92 91 0.0 0.0 0.0 0.9 14.4 0.0 0.0 3.1 23.6
#> 93 92 0.0 0.0 0.0 0.9 14.4 0.0 0.0 3.1 23.6
#> 94 93 0.0 0.0 0.0 0.9 14.4 0.0 0.0 3.1 23.6
#> 95 94 0.0 0.0 0.0 0.9 14.4 0.0 0.0 3.1 23.6
#> 96 95 0.0 0.0 0.0 0.0 3.5 0.0 0.0 3.5 27.7
#> 97 96 0.0 0.0 0.0 0.0 3.5 0.0 0.0 3.5 27.7
#> 98 97 0.0 0.0 0.0 0.0 3.5 0.0 0.0 3.5 27.7
#> 99 98 0.0 0.0 0.0 0.0 3.5 0.0 0.0 3.5 27.7
#> 100 99 0.0 0.0 0.0 0.0 3.5 0.0 0.0 3.5 27.7
#> 101 100 0.0 0.0 0.0 0.0 3.5 0.0 0.0 3.5 27.7
# Given a specific PPI score (from 0 - 100), get the row of poverty
# probabilities from PPI table it corresponds to
ppiScore <- 50
ppiPAK2009[ppiPAK2009$score == ppiScore, ]
#> score nl100 nl50 nl75 nl125 nl200 extreme ppp125 ppp250 ppp375
#> 51 50 10.7 0 1.2 29.9 79.3 3.9 7.1 72.8 94.7
# Use subset() function to get the row of poverty probabilities corresponding
# to specific PPI score
ppiScore <- 50
subset(ppiPAK2009, score == ppiScore)
#> score nl100 nl50 nl75 nl125 nl200 extreme ppp125 ppp250 ppp375
#> 51 50 10.7 0 1.2 29.9 79.3 3.9 7.1 72.8 94.7
# 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
ppiPAK2009[ppiPAK2009$score == ppiScore, "nl100"]
#> [1] 10.7