Poverty Probability Index (PPI) lookup table for Malawi using government poverty definitions
Source:R/00_malawi.R
ppiMWI2015_gov.RdPoverty Probability Index (PPI) lookup table for Malawi using government poverty definitions
Format
A data frame with 14 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)
ppp1000Below $10.00 per day purchasing power parity (2011)
Examples
# Access Malawi PPI table
ppiMWI2015_gov
#> 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 81.3 97.1 99.7 100.0 81.3 99.7 100.0 100.0 100.0 100.0
#> 6 6 81.3 97.1 99.7 100.0 81.3 99.7 100.0 100.0 100.0 100.0
#> 7 7 81.3 97.1 99.7 100.0 81.3 99.7 100.0 100.0 100.0 100.0
#> 8 8 81.3 97.1 99.7 100.0 81.3 99.7 100.0 100.0 100.0 100.0
#> 9 9 81.3 97.1 99.7 100.0 81.3 99.7 100.0 100.0 100.0 100.0
#> 10 10 71.8 95.7 98.6 100.0 73.3 98.6 100.0 100.0 100.0 100.0
#> 11 11 71.8 95.7 98.6 100.0 73.3 98.6 100.0 100.0 100.0 100.0
#> 12 12 71.8 95.7 98.6 100.0 73.3 98.6 100.0 100.0 100.0 100.0
#> 13 13 71.8 95.7 98.6 100.0 73.3 98.6 100.0 100.0 100.0 100.0
#> 14 14 71.8 95.7 98.6 100.0 73.3 98.6 100.0 100.0 100.0 100.0
#> 15 15 70.3 94.4 98.5 100.0 72.3 98.5 100.0 100.0 100.0 100.0
#> 16 16 70.3 94.4 98.5 100.0 72.3 98.5 100.0 100.0 100.0 100.0
#> 17 17 70.3 94.4 98.5 100.0 72.3 98.5 100.0 100.0 100.0 100.0
#> 18 18 70.3 94.4 98.5 100.0 72.3 98.5 100.0 100.0 100.0 100.0
#> 19 19 70.3 94.4 98.5 100.0 72.3 98.5 100.0 100.0 100.0 100.0
#> 20 20 55.7 87.4 96.3 98.6 60.3 95.8 99.3 99.9 100.0 100.0
#> 21 21 55.7 87.4 96.3 98.6 60.3 95.8 99.3 99.9 100.0 100.0
#> 22 22 55.7 87.4 96.3 98.6 60.3 95.8 99.3 99.9 100.0 100.0
#> 23 23 55.7 87.4 96.3 98.6 60.3 95.8 99.3 99.9 100.0 100.0
#> 24 24 55.7 87.4 96.3 98.6 60.3 95.8 99.3 99.9 100.0 100.0
#> 25 25 49.9 80.0 94.7 98.1 51.3 92.9 98.8 99.6 100.0 100.0
#> 26 26 49.9 80.0 94.7 98.1 51.3 92.9 98.8 99.6 100.0 100.0
#> 27 27 49.9 80.0 94.7 98.1 51.3 92.9 98.8 99.6 100.0 100.0
#> 28 28 49.9 80.0 94.7 98.1 51.3 92.9 98.8 99.6 100.0 100.0
#> 29 29 49.9 80.0 94.7 98.1 51.3 92.9 98.8 99.6 100.0 100.0
#> 30 30 36.4 72.0 94.7 97.6 37.4 91.3 98.5 99.6 100.0 100.0
#> 31 31 36.4 72.0 94.7 97.6 37.4 91.3 98.5 99.6 100.0 100.0
#> 32 32 36.4 72.0 94.7 97.6 37.4 91.3 98.5 99.6 100.0 100.0
#> 33 33 36.4 72.0 94.7 97.6 37.4 91.3 98.5 99.6 100.0 100.0
#> 34 34 36.4 72.0 94.7 97.6 37.4 91.3 98.5 99.6 100.0 100.0
#> 35 35 27.6 70.2 90.1 96.4 29.0 88.5 97.5 99.5 100.0 100.0
#> 36 36 27.6 70.2 90.1 96.4 29.0 88.5 97.5 99.5 100.0 100.0
#> 37 37 27.6 70.2 90.1 96.4 29.0 88.5 97.5 99.5 100.0 100.0
#> 38 38 27.6 70.2 90.1 96.4 29.0 88.5 97.5 99.5 100.0 100.0
#> 39 39 27.6 70.2 90.1 96.4 29.0 88.5 97.5 99.5 100.0 100.0
#> 40 40 21.5 57.4 82.7 93.2 23.6 79.8 96.3 98.9 100.0 100.0
#> 41 41 21.5 57.4 82.7 93.2 23.6 79.8 96.3 98.9 100.0 100.0
#> 42 42 21.5 57.4 82.7 93.2 23.6 79.8 96.3 98.9 100.0 100.0
#> 43 43 21.5 57.4 82.7 93.2 23.6 79.8 96.3 98.9 100.0 100.0
#> 44 44 21.5 57.4 82.7 93.2 23.6 79.8 96.3 98.9 100.0 100.0
#> 45 45 16.5 47.9 76.8 90.3 18.0 71.4 93.4 97.0 100.0 100.0
#> 46 46 16.5 47.9 76.8 90.3 18.0 71.4 93.4 97.0 100.0 100.0
#> 47 47 16.5 47.9 76.8 90.3 18.0 71.4 93.4 97.0 100.0 100.0
#> 48 48 16.5 47.9 76.8 90.3 18.0 71.4 93.4 97.0 100.0 100.0
#> 49 49 16.5 47.9 76.8 90.3 18.0 71.4 93.4 97.0 100.0 100.0
#> 50 50 9.4 30.5 57.1 80.5 9.1 52.1 86.2 92.2 99.8 100.0
#> 51 51 9.4 30.5 57.1 80.5 9.1 52.1 86.2 92.2 99.8 100.0
#> 52 52 9.4 30.5 57.1 80.5 9.1 52.1 86.2 92.2 99.8 100.0
#> 53 53 9.4 30.5 57.1 80.5 9.1 52.1 86.2 92.2 99.8 100.0
#> 54 54 9.4 30.5 57.1 80.5 9.1 52.1 86.2 92.2 99.8 100.0
#> 55 55 5.6 24.9 48.9 74.4 6.1 46.2 81.5 88.2 98.7 99.8
#> 56 56 5.6 24.9 48.9 74.4 6.1 46.2 81.5 88.2 98.7 99.8
#> 57 57 5.6 24.9 48.9 74.4 6.1 46.2 81.5 88.2 98.7 99.8
#> 58 58 5.6 24.9 48.9 74.4 6.1 46.2 81.5 88.2 98.7 99.8
#> 59 59 5.6 24.9 48.9 74.4 6.1 46.2 81.5 88.2 98.7 99.8
#> 60 60 4.0 20.0 44.1 67.1 3.7 41.1 72.3 82.4 96.5 98.9
#> 61 61 4.0 20.0 44.1 67.1 3.7 41.1 72.3 82.4 96.5 98.9
#> 62 62 4.0 20.0 44.1 67.1 3.7 41.1 72.3 82.4 96.5 98.9
#> 63 63 4.0 20.0 44.1 67.1 3.7 41.1 72.3 82.4 96.5 98.9
#> 64 64 4.0 20.0 44.1 67.1 3.7 41.1 72.3 82.4 96.5 98.9
#> 65 65 2.2 12.4 34.1 53.0 2.2 30.5 63.3 77.0 95.8 98.4
#> 66 66 2.2 12.4 34.1 53.0 2.2 30.5 63.3 77.0 95.8 98.4
#> 67 67 2.2 12.4 34.1 53.0 2.2 30.5 63.3 77.0 95.8 98.4
#> 68 68 2.2 12.4 34.1 53.0 2.2 30.5 63.3 77.0 95.8 98.4
#> 69 69 2.2 12.4 34.1 53.0 2.2 30.5 63.3 77.0 95.8 98.4
#> 70 70 1.0 6.5 23.3 38.3 0.7 20.8 48.3 62.4 90.6 97.4
#> 71 71 1.0 6.5 23.3 38.3 0.7 20.8 48.3 62.4 90.6 97.4
#> 72 72 1.0 6.5 23.3 38.3 0.7 20.8 48.3 62.4 90.6 97.4
#> 73 73 1.0 6.5 23.3 38.3 0.7 20.8 48.3 62.4 90.6 97.4
#> 74 74 1.0 6.5 23.3 38.3 0.7 20.8 48.3 62.4 90.6 97.4
#> 75 75 0.6 5.3 17.7 31.2 0.6 15.8 39.2 52.1 87.0 95.7
#> 76 76 0.6 5.3 17.7 31.2 0.6 15.8 39.2 52.1 87.0 95.7
#> 77 77 0.6 5.3 17.7 31.2 0.6 15.8 39.2 52.1 87.0 95.7
#> 78 78 0.6 5.3 17.7 31.2 0.6 15.8 39.2 52.1 87.0 95.7
#> 79 79 0.6 5.3 17.7 31.2 0.6 15.8 39.2 52.1 87.0 95.7
#> 80 80 0.4 2.7 11.5 24.5 0.4 9.7 34.0 44.8 82.4 93.5
#> 81 81 0.4 2.7 11.5 24.5 0.4 9.7 34.0 44.8 82.4 93.5
#> 82 82 0.4 2.7 11.5 24.5 0.4 9.7 34.0 44.8 82.4 93.5
#> 83 83 0.4 2.7 11.5 24.5 0.4 9.7 34.0 44.8 82.4 93.5
#> 84 84 0.4 2.7 11.5 24.5 0.4 9.7 34.0 44.8 82.4 93.5
#> 85 85 0.0 1.1 3.7 13.3 0.0 3.7 15.9 23.6 73.3 90.8
#> 86 86 0.0 1.1 3.7 13.3 0.0 3.7 15.9 23.6 73.3 90.8
#> 87 87 0.0 1.1 3.7 13.3 0.0 3.7 15.9 23.6 73.3 90.8
#> 88 88 0.0 1.1 3.7 13.3 0.0 3.7 15.9 23.6 73.3 90.8
#> 89 89 0.0 1.1 3.7 13.3 0.0 3.7 15.9 23.6 73.3 90.8
#> 90 90 0.0 1.1 2.4 8.8 0.0 2.1 11.2 15.3 57.8 80.0
#> 91 91 0.0 1.1 2.4 8.8 0.0 2.1 11.2 15.3 57.8 80.0
#> 92 92 0.0 1.1 2.4 8.8 0.0 2.1 11.2 15.3 57.8 80.0
#> 93 93 0.0 1.1 2.4 8.8 0.0 2.1 11.2 15.3 57.8 80.0
#> 94 94 0.0 1.1 2.4 8.8 0.0 2.1 11.2 15.3 57.8 80.0
#> 95 95 0.0 0.0 0.0 0.6 0.0 0.0 3.4 10.1 49.6 69.1
#> 96 96 0.0 0.0 0.0 0.6 0.0 0.0 3.4 10.1 49.6 69.1
#> 97 97 0.0 0.0 0.0 0.6 0.0 0.0 3.4 10.1 49.6 69.1
#> 98 98 0.0 0.0 0.0 0.6 0.0 0.0 3.4 10.1 49.6 69.1
#> 99 99 0.0 0.0 0.0 0.6 0.0 0.0 3.4 10.1 49.6 69.1
#> 100 100 0.0 0.0 0.0 0.6 0.0 0.0 3.4 10.1 49.6 69.1
#> ppp190 ppp310 ppp1000
#> 0 100.0 100.0 100.0
#> 1 100.0 100.0 100.0
#> 2 100.0 100.0 100.0
#> 3 100.0 100.0 100.0
#> 4 100.0 100.0 100.0
#> 5 100.0 100.0 100.0
#> 6 100.0 100.0 100.0
#> 7 100.0 100.0 100.0
#> 8 100.0 100.0 100.0
#> 9 100.0 100.0 100.0
#> 10 100.0 100.0 100.0
#> 11 100.0 100.0 100.0
#> 12 100.0 100.0 100.0
#> 13 100.0 100.0 100.0
#> 14 100.0 100.0 100.0
#> 15 100.0 100.0 100.0
#> 16 100.0 100.0 100.0
#> 17 100.0 100.0 100.0
#> 18 100.0 100.0 100.0
#> 19 100.0 100.0 100.0
#> 20 97.9 99.9 100.0
#> 21 97.9 99.9 100.0
#> 22 97.9 99.9 100.0
#> 23 97.9 99.9 100.0
#> 24 97.9 99.9 100.0
#> 25 96.4 99.6 100.0
#> 26 96.4 99.6 100.0
#> 27 96.4 99.6 100.0
#> 28 96.4 99.6 100.0
#> 29 96.4 99.6 100.0
#> 30 96.4 99.6 100.0
#> 31 96.4 99.6 100.0
#> 32 96.4 99.6 100.0
#> 33 96.4 99.6 100.0
#> 34 96.4 99.6 100.0
#> 35 94.5 99.6 100.0
#> 36 94.5 99.6 100.0
#> 37 94.5 99.6 100.0
#> 38 94.5 99.6 100.0
#> 39 94.5 99.6 100.0
#> 40 88.7 99.2 100.0
#> 41 88.7 99.2 100.0
#> 42 88.7 99.2 100.0
#> 43 88.7 99.2 100.0
#> 44 88.7 99.2 100.0
#> 45 84.9 97.2 100.0
#> 46 84.9 97.2 100.0
#> 47 84.9 97.2 100.0
#> 48 84.9 97.2 100.0
#> 49 84.9 97.2 100.0
#> 50 69.1 92.2 100.0
#> 51 69.1 92.2 100.0
#> 52 69.1 92.2 100.0
#> 53 69.1 92.2 100.0
#> 54 69.1 92.2 100.0
#> 55 64.3 88.3 99.8
#> 56 64.3 88.3 99.8
#> 57 64.3 88.3 99.8
#> 58 64.3 88.3 99.8
#> 59 64.3 88.3 99.8
#> 60 56.5 82.7 99.1
#> 61 56.5 82.7 99.1
#> 62 56.5 82.7 99.1
#> 63 56.5 82.7 99.1
#> 64 56.5 82.7 99.1
#> 65 43.6 77.3 98.8
#> 66 43.6 77.3 98.8
#> 67 43.6 77.3 98.8
#> 68 43.6 77.3 98.8
#> 69 43.6 77.3 98.8
#> 70 31.1 62.5 97.8
#> 71 31.1 62.5 97.8
#> 72 31.1 62.5 97.8
#> 73 31.1 62.5 97.8
#> 74 31.1 62.5 97.8
#> 75 24.5 52.6 96.4
#> 76 24.5 52.6 96.4
#> 77 24.5 52.6 96.4
#> 78 24.5 52.6 96.4
#> 79 24.5 52.6 96.4
#> 80 18.0 47.1 95.8
#> 81 18.0 47.1 95.8
#> 82 18.0 47.1 95.8
#> 83 18.0 47.1 95.8
#> 84 18.0 47.1 95.8
#> 85 9.4 23.6 92.6
#> 86 9.4 23.6 92.6
#> 87 9.4 23.6 92.6
#> 88 9.4 23.6 92.6
#> 89 9.4 23.6 92.6
#> 90 6.1 15.3 85.4
#> 91 6.1 15.3 85.4
#> 92 6.1 15.3 85.4
#> 93 6.1 15.3 85.4
#> 94 6.1 15.3 85.4
#> 95 0.6 10.1 72.5
#> 96 0.6 10.1 72.5
#> 97 0.6 10.1 72.5
#> 98 0.6 10.1 72.5
#> 99 0.6 10.1 72.5
#> 100 0.6 10.1 72.5
# Given a specific PPI score (from 0 - 100), get the row of poverty
# probabilities from PPI table it corresponds to
ppiScore <- 50
ppiMWI2015_gov[ppiMWI2015_gov$score == ppiScore, ]
#> score nlFood nl100 nl150 nl200 half100 ppp125 ppp200 ppp250 ppp500 ppp844
#> 50 50 9.4 30.5 57.1 80.5 9.1 52.1 86.2 92.2 99.8 100
#> ppp190 ppp310 ppp1000
#> 50 69.1 92.2 100
# Use subset() function to get the row of poverty probabilities corresponding
# to specific PPI score
ppiScore <- 50
subset(ppiMWI2015_gov, score == ppiScore)
#> score nlFood nl100 nl150 nl200 half100 ppp125 ppp200 ppp250 ppp500 ppp844
#> 50 50 9.4 30.5 57.1 80.5 9.1 52.1 86.2 92.2 99.8 100
#> ppp190 ppp310 ppp1000
#> 50 69.1 92.2 100
# 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_gov[ppiMWI2015_gov$score == ppiScore, "nl100"]
#> [1] 30.5