Poverty Probability Index (PPI) lookup table for Senegal
Format
A data frame with 11 columns and 101 rows:
scorePPI score
nl100National poverty line (100%)
nlFoodFood poverty line
extremeUSAID extreme poverty
nl75National poverty line (75%)
nl125National poverty line (125%)
nl150National poverty line (150%)
nl200National poverty line (200%)
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)
Examples
# Access Senegal PPI table
ppiSEN2009
#> score nl100 nlFood extreme nl75 nl125 nl150 nl200 ppp125 ppp250 ppp375
#> 0 0 58.2 24.2 28.5 38.8 77.1 89.0 95.7 36.4 83.9 97.8
#> 1 1 58.2 24.2 28.5 38.8 77.1 89.0 95.7 36.4 83.9 97.8
#> 2 2 58.2 24.2 28.5 38.8 77.1 89.0 95.7 36.4 83.9 97.8
#> 3 3 58.2 24.2 28.5 38.8 77.1 89.0 95.7 36.4 83.9 97.8
#> 4 4 58.2 24.2 28.5 38.8 77.1 89.0 95.7 36.4 83.9 97.8
#> 5 5 65.0 24.9 28.5 35.0 79.1 82.8 96.4 39.8 85.6 95.4
#> 6 6 65.0 24.9 28.5 35.0 79.1 82.8 96.4 39.8 85.6 95.4
#> 7 7 65.0 24.9 28.5 35.0 79.1 82.8 96.4 39.8 85.6 95.4
#> 8 8 65.0 24.9 28.5 35.0 79.1 82.8 96.4 39.8 85.6 95.4
#> 9 9 65.0 24.9 28.5 35.0 79.1 82.8 96.4 39.8 85.6 95.4
#> 10 10 68.3 30.8 37.7 45.3 81.2 88.6 96.0 43.9 88.3 96.6
#> 11 11 68.3 30.8 37.7 45.3 81.2 88.6 96.0 43.9 88.3 96.6
#> 12 12 68.3 30.8 37.7 45.3 81.2 88.6 96.0 43.9 88.3 96.6
#> 13 13 68.3 30.8 37.7 45.3 81.2 88.6 96.0 43.9 88.3 96.6
#> 14 14 68.3 30.8 37.7 45.3 81.2 88.6 96.0 43.9 88.3 96.6
#> 15 15 58.6 23.6 28.9 35.0 75.3 83.2 92.3 33.5 82.7 93.5
#> 16 16 58.6 23.6 28.9 35.0 75.3 83.2 92.3 33.5 82.7 93.5
#> 17 17 58.6 23.6 28.9 35.0 75.3 83.2 92.3 33.5 82.7 93.5
#> 18 18 58.6 23.6 28.9 35.0 75.3 83.2 92.3 33.5 82.7 93.5
#> 19 19 58.6 23.6 28.9 35.0 75.3 83.2 92.3 33.5 82.7 93.5
#> 20 20 56.0 16.4 26.2 29.9 74.3 82.8 91.2 30.4 80.0 91.7
#> 21 21 56.0 16.4 26.2 29.9 74.3 82.8 91.2 30.4 80.0 91.7
#> 22 22 56.0 16.4 26.2 29.9 74.3 82.8 91.2 30.4 80.0 91.7
#> 23 23 56.0 16.4 26.2 29.9 74.3 82.8 91.2 30.4 80.0 91.7
#> 24 24 56.0 16.4 26.2 29.9 74.3 82.8 91.2 30.4 80.0 91.7
#> 25 25 46.9 15.5 25.2 29.7 57.0 69.8 81.1 27.6 63.4 82.5
#> 26 26 46.9 15.5 25.2 29.7 57.0 69.8 81.1 27.6 63.4 82.5
#> 27 27 46.9 15.5 25.2 29.7 57.0 69.8 81.1 27.6 63.4 82.5
#> 28 28 46.9 15.5 25.2 29.7 57.0 69.8 81.1 27.6 63.4 82.5
#> 29 29 46.9 15.5 25.2 29.7 57.0 69.8 81.1 27.6 63.4 82.5
#> 30 30 51.3 7.8 21.4 28.2 72.1 78.5 95.5 19.3 77.2 97.2
#> 31 31 51.3 7.8 21.4 28.2 72.1 78.5 95.5 19.3 77.2 97.2
#> 32 32 51.3 7.8 21.4 28.2 72.1 78.5 95.5 19.3 77.2 97.2
#> 33 33 51.3 7.8 21.4 28.2 72.1 78.5 95.5 19.3 77.2 97.2
#> 34 34 51.3 7.8 21.4 28.2 72.1 78.5 95.5 19.3 77.2 97.2
#> 35 35 42.3 7.7 16.9 18.5 65.3 72.8 89.8 16.1 72.1 89.2
#> 36 36 42.3 7.7 16.9 18.5 65.3 72.8 89.8 16.1 72.1 89.2
#> 37 37 42.3 7.7 16.9 18.5 65.3 72.8 89.8 16.1 72.1 89.2
#> 38 38 42.3 7.7 16.9 18.5 65.3 72.8 89.8 16.1 72.1 89.2
#> 39 39 42.3 7.7 16.9 18.5 65.3 72.8 89.8 16.1 72.1 89.2
#> 40 40 34.8 1.5 18.5 15.1 58.4 72.6 85.1 14.5 61.9 88.1
#> 41 41 34.8 1.5 18.5 15.1 58.4 72.6 85.1 14.5 61.9 88.1
#> 42 42 34.8 1.5 18.5 15.1 58.4 72.6 85.1 14.5 61.9 88.1
#> 43 43 34.8 1.5 18.5 15.1 58.4 72.6 85.1 14.5 61.9 88.1
#> 44 44 34.8 1.5 18.5 15.1 58.4 72.6 85.1 14.5 61.9 88.1
#> 45 45 27.9 1.5 12.0 12.4 56.0 79.5 90.9 6.5 67.7 91.7
#> 46 46 27.9 1.5 12.0 12.4 56.0 79.5 90.9 6.5 67.7 91.7
#> 47 47 27.9 1.5 12.0 12.4 56.0 79.5 90.9 6.5 67.7 91.7
#> 48 48 27.9 1.5 12.0 12.4 56.0 79.5 90.9 6.5 67.7 91.7
#> 49 49 27.9 1.5 12.0 12.4 56.0 79.5 90.9 6.5 67.7 91.7
#> 50 50 37.4 1.1 12.9 15.7 46.2 61.2 80.3 12.3 57.7 82.0
#> 51 51 37.4 1.1 12.9 15.7 46.2 61.2 80.3 12.3 57.7 82.0
#> 52 52 37.4 1.1 12.9 15.7 46.2 61.2 80.3 12.3 57.7 82.0
#> 53 53 37.4 1.1 12.9 15.7 46.2 61.2 80.3 12.3 57.7 82.0
#> 54 54 37.4 1.1 12.9 15.7 46.2 61.2 80.3 12.3 57.7 82.0
#> 55 55 22.2 0.2 9.2 8.2 46.3 62.4 89.9 5.5 56.4 88.5
#> 56 56 22.2 0.2 9.2 8.2 46.3 62.4 89.9 5.5 56.4 88.5
#> 57 57 22.2 0.2 9.2 8.2 46.3 62.4 89.9 5.5 56.4 88.5
#> 58 58 22.2 0.2 9.2 8.2 46.3 62.4 89.9 5.5 56.4 88.5
#> 59 59 22.2 0.2 9.2 8.2 46.3 62.4 89.9 5.5 56.4 88.5
#> 60 60 21.9 0.1 10.8 8.8 46.9 62.4 79.5 4.9 55.3 80.8
#> 61 61 21.9 0.1 10.8 8.8 46.9 62.4 79.5 4.9 55.3 80.8
#> 62 62 21.9 0.1 10.8 8.8 46.9 62.4 79.5 4.9 55.3 80.8
#> 63 63 21.9 0.1 10.8 8.8 46.9 62.4 79.5 4.9 55.3 80.8
#> 64 64 21.9 0.1 10.8 8.8 46.9 62.4 79.5 4.9 55.3 80.8
#> 65 65 19.9 0.7 7.6 8.4 40.0 54.3 74.8 3.5 48.8 78.5
#> 66 66 19.9 0.7 7.6 8.4 40.0 54.3 74.8 3.5 48.8 78.5
#> 67 67 19.9 0.7 7.6 8.4 40.0 54.3 74.8 3.5 48.8 78.5
#> 68 68 19.9 0.7 7.6 8.4 40.0 54.3 74.8 3.5 48.8 78.5
#> 69 69 19.9 0.7 7.6 8.4 40.0 54.3 74.8 3.5 48.8 78.5
#> 70 70 20.3 0.6 13.5 16.3 33.0 40.9 74.0 5.3 34.5 72.3
#> 71 71 20.3 0.6 13.5 16.3 33.0 40.9 74.0 5.3 34.5 72.3
#> 72 72 20.3 0.6 13.5 16.3 33.0 40.9 74.0 5.3 34.5 72.3
#> 73 73 20.3 0.6 13.5 16.3 33.0 40.9 74.0 5.3 34.5 72.3
#> 74 74 20.3 0.6 13.5 16.3 33.0 40.9 74.0 5.3 34.5 72.3
#> 75 75 17.7 0.0 5.5 3.8 32.2 44.6 67.1 2.0 34.6 70.4
#> 76 76 17.7 0.0 5.5 3.8 32.2 44.6 67.1 2.0 34.6 70.4
#> 77 77 17.7 0.0 5.5 3.8 32.2 44.6 67.1 2.0 34.6 70.4
#> 78 78 17.7 0.0 5.5 3.8 32.2 44.6 67.1 2.0 34.6 70.4
#> 79 79 17.7 0.0 5.5 3.8 32.2 44.6 67.1 2.0 34.6 70.4
#> 80 80 8.6 3.4 5.6 4.1 13.5 25.3 54.2 3.4 17.6 68.0
#> 81 81 8.6 3.4 5.6 4.1 13.5 25.3 54.2 3.4 17.6 68.0
#> 82 82 8.6 3.4 5.6 4.1 13.5 25.3 54.2 3.4 17.6 68.0
#> 83 83 8.6 3.4 5.6 4.1 13.5 25.3 54.2 3.4 17.6 68.0
#> 84 84 8.6 3.4 5.6 4.1 13.5 25.3 54.2 3.4 17.6 68.0
#> 85 85 4.3 0.0 0.0 0.0 16.6 43.0 54.7 0.0 42.4 63.8
#> 86 86 4.3 0.0 0.0 0.0 16.6 43.0 54.7 0.0 42.4 63.8
#> 87 87 4.3 0.0 0.0 0.0 16.6 43.0 54.7 0.0 42.4 63.8
#> 88 88 4.3 0.0 0.0 0.0 16.6 43.0 54.7 0.0 42.4 63.8
#> 89 89 4.3 0.0 0.0 0.0 16.6 43.0 54.7 0.0 42.4 63.8
#> 90 90 12.2 0.2 0.4 0.4 17.5 24.2 35.1 0.4 18.3 35.9
#> 91 91 12.2 0.2 0.4 0.4 17.5 24.2 35.1 0.4 18.3 35.9
#> 92 92 12.2 0.2 0.4 0.4 17.5 24.2 35.1 0.4 18.3 35.9
#> 93 93 12.2 0.2 0.4 0.4 17.5 24.2 35.1 0.4 18.3 35.9
#> 94 94 12.2 0.2 0.4 0.4 17.5 24.2 35.1 0.4 18.3 35.9
#> 95 95 1.9 0.0 1.9 1.9 11.4 21.4 48.7 1.9 11.4 40.1
#> 96 96 1.9 0.0 1.9 1.9 11.4 21.4 48.7 1.9 11.4 40.1
#> 97 97 1.9 0.0 1.9 1.9 11.4 21.4 48.7 1.9 11.4 40.1
#> 98 98 1.9 0.0 1.9 1.9 11.4 21.4 48.7 1.9 11.4 40.1
#> 99 99 1.9 0.0 1.9 1.9 11.4 21.4 48.7 1.9 11.4 40.1
#> 100 100 1.9 0.0 1.9 1.9 11.4 21.4 48.7 1.9 11.4 40.1
# Given a specific PPI score (from 0 - 100), get the row of poverty
# probabilities from PPI table it corresponds to
ppiScore <- 50
ppiSEN2009[ppiSEN2009$score == ppiScore, ]
#> score nl100 nlFood extreme nl75 nl125 nl150 nl200 ppp125 ppp250 ppp375
#> 50 50 37.4 1.1 12.9 15.7 46.2 61.2 80.3 12.3 57.7 82
# Use subset() function to get the row of poverty probabilities corresponding
# to specific PPI score
ppiScore <- 50
subset(ppiSEN2009, score == ppiScore)
#> score nl100 nlFood extreme nl75 nl125 nl150 nl200 ppp125 ppp250 ppp375
#> 50 50 37.4 1.1 12.9 15.7 46.2 61.2 80.3 12.3 57.7 82
# 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
ppiSEN2009[ppiSEN2009$score == ppiScore, "nl100"]
#> [1] 37.4