Poverty Probability Index (PPI) lookup table for Malawi using PBM poverty definitions
Source:R/00_malawi.R
ppiMWI2015_pbm.RdPoverty Probability Index (PPI) lookup table for Malawi using PBM poverty definitions
Format
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)
Examples
# 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
#> 76 76 0.6 3.5 11.7 23.3 0.7 10.3 30.2 45.8 84.8 94.1
#> 77 77 0.6 3.5 11.7 23.3 0.7 10.3 30.2 45.8 84.8 94.1
#> 78 78 0.6 3.5 11.7 23.3 0.7 10.3 30.2 45.8 84.8 94.1
#> 79 79 0.6 3.5 11.7 23.3 0.7 10.3 30.2 45.8 84.8 94.1
#> 80 80 0.4 1.5 7.1 18.9 0.7 6.4 27.9 43.3 76.9 93.4
#> 81 81 0.4 1.5 7.1 18.9 0.7 6.4 27.9 43.3 76.9 93.4
#> 82 82 0.4 1.5 7.1 18.9 0.7 6.4 27.9 43.3 76.9 93.4
#> 83 83 0.4 1.5 7.1 18.9 0.7 6.4 27.9 43.3 76.9 93.4
#> 84 84 0.4 1.5 7.1 18.9 0.7 6.4 27.9 43.3 76.9 93.4
#> 85 85 0.0 0.8 4.2 13.7 0.7 2.4 18.1 30.4 70.5 91.8
#> 86 86 0.0 0.8 4.2 13.7 0.7 2.4 18.1 30.4 70.5 91.8
#> 87 87 0.0 0.8 4.2 13.7 0.7 2.4 18.1 30.4 70.5 91.8
#> 88 88 0.0 0.8 4.2 13.7 0.7 2.4 18.1 30.4 70.5 91.8
#> 89 89 0.0 0.8 4.2 13.7 0.7 2.4 18.1 30.4 70.5 91.8
#> 90 90 0.0 0.8 2.0 10.7 0.7 1.3 11.2 18.9 69.1 83.0
#> 91 91 0.0 0.8 2.0 10.7 0.7 1.3 11.2 18.9 69.1 83.0
#> 92 92 0.0 0.8 2.0 10.7 0.7 1.3 11.2 18.9 69.1 83.0
#> 93 93 0.0 0.8 2.0 10.7 0.7 1.3 11.2 18.9 69.1 83.0
#> 94 94 0.0 0.8 2.0 10.7 0.7 1.3 11.2 18.9 69.1 83.0
#> 95 95 0.0 0.0 0.0 0.0 0.0 0.0 7.8 12.0 46.3 76.0
#> 96 96 0.0 0.0 0.0 0.0 0.0 0.0 7.8 12.0 46.3 76.0
#> 97 97 0.0 0.0 0.0 0.0 0.0 0.0 7.8 12.0 46.3 76.0
#> 98 98 0.0 0.0 0.0 0.0 0.0 0.0 7.8 12.0 46.3 76.0
#> 99 99 0.0 0.0 0.0 0.0 0.0 0.0 7.8 12.0 46.3 76.0
#> 100 100 0.0 0.0 0.0 0.0 0.0 0.0 7.8 12.0 46.3 76.0
#> 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
#> 76 17.8 46.5
#> 77 17.8 46.5
#> 78 17.8 46.5
#> 79 17.8 46.5
#> 80 13.4 43.8
#> 81 13.4 43.8
#> 82 13.4 43.8
#> 83 13.4 43.8
#> 84 13.4 43.8
#> 85 6.7 30.4
#> 86 6.7 30.4
#> 87 6.7 30.4
#> 88 6.7 30.4
#> 89 6.7 30.4
#> 90 4.3 18.9
#> 91 4.3 18.9
#> 92 4.3 18.9
#> 93 4.3 18.9
#> 94 4.3 18.9
#> 95 0.0 12.0
#> 96 0.0 12.0
#> 97 0.0 12.0
#> 98 0.0 12.0
#> 99 0.0 12.0
#> 100 0.0 12.0
# 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