Poverty Probability Index (PPI) lookup table for Malawi using PBM poverty definitions
ppiMWI2015_pbm
A data frame with 13 columns and 101 rows:
scorePPI score
nlFoodFood poverty line
nl100National poverty line (100%)
nl150National poverty line (150%)
nl200National poverty line (200%)
half100Poorest half below 100% national
ppp125Below $1.25 per day purchasing power parity (2005)
ppp200Below $2.00 per day purchasing power parity (2005)
ppp250Below $2.50 per day purchasing power parity (2005)
ppp500Below $5.00 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)
# Access Malawi PPI table ppiMWI2015_pbm#> score nlFood nl100 nl150 nl200 half100 ppp125 ppp200 ppp250 ppp500 ppp844 #> 0 0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 #> 1 1 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 #> 2 2 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 #> 3 3 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 #> 4 4 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 #> 5 5 68.1 86.5 99.7 99.7 68.1 97.1 100.0 100.0 100.0 100.0 #> 6 6 68.1 86.5 99.7 99.7 68.1 97.1 100.0 100.0 100.0 100.0 #> 7 7 68.1 86.5 99.7 99.7 68.1 97.1 100.0 100.0 100.0 100.0 #> 8 8 68.1 86.5 99.7 99.7 68.1 97.1 100.0 100.0 100.0 100.0 #> 9 9 68.1 86.5 99.7 99.7 68.1 97.1 100.0 100.0 100.0 100.0 #> 10 10 59.7 85.9 97.1 98.5 60.9 95.9 99.9 100.0 100.0 100.0 #> 11 11 59.7 85.9 97.1 98.5 60.9 95.9 99.9 100.0 100.0 100.0 #> 12 12 59.7 85.9 97.1 98.5 60.9 95.9 99.9 100.0 100.0 100.0 #> 13 13 59.7 85.9 97.1 98.5 60.9 95.9 99.9 100.0 100.0 100.0 #> 14 14 59.7 85.9 97.1 98.5 60.9 95.9 99.9 100.0 100.0 100.0 #> 15 15 58.6 85.6 94.8 98.3 59.9 94.6 99.5 100.0 100.0 100.0 #> 16 16 58.6 85.6 94.8 98.3 59.9 94.6 99.5 100.0 100.0 100.0 #> 17 17 58.6 85.6 94.8 98.3 59.9 94.6 99.5 100.0 100.0 100.0 #> 18 18 58.6 85.6 94.8 98.3 59.9 94.6 99.5 100.0 100.0 100.0 #> 19 19 58.6 85.6 94.8 98.3 59.9 94.6 99.5 100.0 100.0 100.0 #> 20 20 46.5 77.6 91.3 94.6 50.0 90.5 97.4 99.6 99.9 100.0 #> 21 21 46.5 77.6 91.3 94.6 50.0 90.5 97.4 99.6 99.9 100.0 #> 22 22 46.5 77.6 91.3 94.6 50.0 90.5 97.4 99.6 99.9 100.0 #> 23 23 46.5 77.6 91.3 94.6 50.0 90.5 97.4 99.6 99.9 100.0 #> 24 24 46.5 77.6 91.3 94.6 50.0 90.5 97.4 99.6 99.9 100.0 #> 25 25 35.8 64.8 84.2 90.5 38.6 83.4 95.0 98.1 99.3 99.9 #> 26 26 35.8 64.8 84.2 90.5 38.6 83.4 95.0 98.1 99.3 99.9 #> 27 27 35.8 64.8 84.2 90.5 38.6 83.4 95.0 98.1 99.3 99.9 #> 28 28 35.8 64.8 84.2 90.5 38.6 83.4 95.0 98.1 99.3 99.9 #> 29 29 35.8 64.8 84.2 90.5 38.6 83.4 95.0 98.1 99.3 99.9 #> 30 30 25.7 55.1 80.0 90.5 26.8 77.6 95.0 97.1 99.3 99.8 #> 31 31 25.7 55.1 80.0 90.5 26.8 77.6 95.0 97.1 99.3 99.8 #> 32 32 25.7 55.1 80.0 90.5 26.8 77.6 95.0 97.1 99.3 99.8 #> 33 33 25.7 55.1 80.0 90.5 26.8 77.6 95.0 97.1 99.3 99.8 #> 34 34 25.7 55.1 80.0 90.5 26.8 77.6 95.0 97.1 99.3 99.8 #> 35 35 20.0 47.1 77.0 89.5 21.1 73.8 93.7 96.7 99.2 99.8 #> 36 36 20.0 47.1 77.0 89.5 21.1 73.8 93.7 96.7 99.2 99.8 #> 37 37 20.0 47.1 77.0 89.5 21.1 73.8 93.7 96.7 99.2 99.8 #> 38 38 20.0 47.1 77.0 89.5 21.1 73.8 93.7 96.7 99.2 99.8 #> 39 39 20.0 47.1 77.0 89.5 21.1 73.8 93.7 96.7 99.2 99.8 #> 40 40 14.7 39.6 68.1 83.3 17.1 65.5 88.9 94.4 99.1 99.8 #> 41 41 14.7 39.6 68.1 83.3 17.1 65.5 88.9 94.4 99.1 99.8 #> 42 42 14.7 39.6 68.1 83.3 17.1 65.5 88.9 94.4 99.1 99.8 #> 43 43 14.7 39.6 68.1 83.3 17.1 65.5 88.9 94.4 99.1 99.8 #> 44 44 14.7 39.6 68.1 83.3 17.1 65.5 88.9 94.4 99.1 99.8 #> 45 45 10.5 32.5 60.1 78.4 13.6 58.0 83.8 92.5 99.1 99.8 #> 46 46 10.5 32.5 60.1 78.4 13.6 58.0 83.8 92.5 99.1 99.8 #> 47 47 10.5 32.5 60.1 78.4 13.6 58.0 83.8 92.5 99.1 99.8 #> 48 48 10.5 32.5 60.1 78.4 13.6 58.0 83.8 92.5 99.1 99.8 #> 49 49 10.5 32.5 60.1 78.4 13.6 58.0 83.8 92.5 99.1 99.8 #> 50 50 5.6 20.7 43.8 64.4 6.5 41.6 72.3 86.7 99.1 99.8 #> 51 51 5.6 20.7 43.8 64.4 6.5 41.6 72.3 86.7 99.1 99.8 #> 52 52 5.6 20.7 43.8 64.4 6.5 41.6 72.3 86.7 99.1 99.8 #> 53 53 5.6 20.7 43.8 64.4 6.5 41.6 72.3 86.7 99.1 99.8 #> 54 54 5.6 20.7 43.8 64.4 6.5 41.6 72.3 86.7 99.1 99.8 #> 55 55 3.6 16.7 38.1 58.2 5.3 35.2 68.6 82.7 96.7 98.9 #> 56 56 3.6 16.7 38.1 58.2 5.3 35.2 68.6 82.7 96.7 98.9 #> 57 57 3.6 16.7 38.1 58.2 5.3 35.2 68.6 82.7 96.7 98.9 #> 58 58 3.6 16.7 38.1 58.2 5.3 35.2 68.6 82.7 96.7 98.9 #> 59 59 3.6 16.7 38.1 58.2 5.3 35.2 68.6 82.7 96.7 98.9 #> 60 60 2.1 12.8 34.5 53.4 2.5 30.9 64.8 78.1 96.1 98.7 #> 61 61 2.1 12.8 34.5 53.4 2.5 30.9 64.8 78.1 96.1 98.7 #> 62 62 2.1 12.8 34.5 53.4 2.5 30.9 64.8 78.1 96.1 98.7 #> 63 63 2.1 12.8 34.5 53.4 2.5 30.9 64.8 78.1 96.1 98.7 #> 64 64 2.1 12.8 34.5 53.4 2.5 30.9 64.8 78.1 96.1 98.7 #> 65 65 0.9 7.2 27.3 45.3 1.0 24.4 54.3 66.7 93.4 98.0 #> 66 66 0.9 7.2 27.3 45.3 1.0 24.4 54.3 66.7 93.4 98.0 #> 67 67 0.9 7.2 27.3 45.3 1.0 24.4 54.3 66.7 93.4 98.0 #> 68 68 0.9 7.2 27.3 45.3 1.0 24.4 54.3 66.7 93.4 98.0 #> 69 69 0.9 7.2 27.3 45.3 1.0 24.4 54.3 66.7 93.4 98.0 #> 70 70 0.6 4.2 15.1 34.4 0.7 13.3 41.6 56.6 89.4 95.8 #> 71 71 0.6 4.2 15.1 34.4 0.7 13.3 41.6 56.6 89.4 95.8 #> 72 72 0.6 4.2 15.1 34.4 0.7 13.3 41.6 56.6 89.4 95.8 #> 73 73 0.6 4.2 15.1 34.4 0.7 13.3 41.6 56.6 89.4 95.8 #> 74 74 0.6 4.2 15.1 34.4 0.7 13.3 41.6 56.6 89.4 95.8 #> 75 75 0.6 3.5 11.7 23.3 0.7 10.3 30.2 45.8 84.8 94.1 #> ppp190 ppp310 #> 0 100.0 100.0 #> 1 100.0 100.0 #> 2 100.0 100.0 #> 3 100.0 100.0 #> 4 100.0 100.0 #> 5 99.7 100.0 #> 6 99.7 100.0 #> 7 99.7 100.0 #> 8 99.7 100.0 #> 9 99.7 100.0 #> 10 98.4 100.0 #> 11 98.4 100.0 #> 12 98.4 100.0 #> 13 98.4 100.0 #> 14 98.4 100.0 #> 15 97.1 100.0 #> 16 97.1 100.0 #> 17 97.1 100.0 #> 18 97.1 100.0 #> 19 97.1 100.0 #> 20 94.0 99.6 #> 21 94.0 99.6 #> 22 94.0 99.6 #> 23 94.0 99.6 #> 24 94.0 99.6 #> 25 88.5 98.1 #> 26 88.5 98.1 #> 27 88.5 98.1 #> 28 88.5 98.1 #> 29 88.5 98.1 #> 30 88.1 97.1 #> 31 88.1 97.1 #> 32 88.1 97.1 #> 33 88.1 97.1 #> 34 88.1 97.1 #> 35 84.1 96.9 #> 36 84.1 96.9 #> 37 84.1 96.9 #> 38 84.1 96.9 #> 39 84.1 96.9 #> 40 78.0 94.4 #> 41 78.0 94.4 #> 42 78.0 94.4 #> 43 78.0 94.4 #> 44 78.0 94.4 #> 45 72.0 92.6 #> 46 72.0 92.6 #> 47 72.0 92.6 #> 48 72.0 92.6 #> 49 72.0 92.6 #> 50 56.5 86.9 #> 51 56.5 86.9 #> 52 56.5 86.9 #> 53 56.5 86.9 #> 54 56.5 86.9 #> 55 50.9 83.2 #> 56 50.9 83.2 #> 57 50.9 83.2 #> 58 50.9 83.2 #> 59 50.9 83.2 #> 60 46.6 78.6 #> 61 46.6 78.6 #> 62 46.6 78.6 #> 63 46.6 78.6 #> 64 46.6 78.6 #> 65 38.5 66.8 #> 66 38.5 66.8 #> 67 38.5 66.8 #> 68 38.5 66.8 #> 69 38.5 66.8 #> 70 27.5 57.0 #> 71 27.5 57.0 #> 72 27.5 57.0 #> 73 27.5 57.0 #> 74 27.5 57.0 #> 75 17.8 46.5 #> [ reached getOption("max.print") -- omitted 25 rows ]# Given a specific PPI score (from 0 - 100), get the row of poverty # probabilities from PPI table it corresponds to ppiScore <- 50 ppiMWI2015_pbm[ppiMWI2015_pbm$score == ppiScore, ]#> score nlFood nl100 nl150 nl200 half100 ppp125 ppp200 ppp250 ppp500 ppp844 #> 50 50 5.6 20.7 43.8 64.4 6.5 41.6 72.3 86.7 99.1 99.8 #> ppp190 ppp310 #> 50 56.5 86.9# Use subset() function to get the row of poverty probabilities corresponding # to specific PPI score ppiScore <- 50 subset(ppiMWI2015_pbm, score == ppiScore)#> score nlFood nl100 nl150 nl200 half100 ppp125 ppp200 ppp250 ppp500 ppp844 #> 50 50 5.6 20.7 43.8 64.4 6.5 41.6 72.3 86.7 99.1 99.8 #> ppp190 ppp310 #> 50 56.5 86.9# 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 ppiMWI2015_pbm[ppiMWI2015_pbm$score == ppiScore, "nl100"]#> [1] 20.7