Poverty Probability Index (PPI) lookup table for Sri Lanka

ppiLKA2016

Format

A data frame with 16 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

half100

Poorest half below 100% national

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp200

Below $2.00 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp310

Below $3.10 per day purchasing power parity (2011)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile50

Below 50th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Source

www.povertyindex.org

Examples

# Access Sri Lanka PPI table ppiLKA2016
#> score nl100 nl150 nl200 half100 ppp125 ppp200 ppp250 ppp500 ppp190 ppp310 #> 0 0 78.0 95.3 100.0 61.3 61.7 94.8 100.0 100.0 43.6 85.3 #> 1 1 78.0 95.3 100.0 61.3 61.7 94.8 100.0 100.0 43.6 85.3 #> 2 2 78.0 95.3 100.0 61.3 61.7 94.8 100.0 100.0 43.6 85.3 #> 3 3 78.0 95.3 100.0 61.3 61.7 94.8 100.0 100.0 43.6 85.3 #> 4 4 78.0 95.3 100.0 61.3 61.7 94.8 100.0 100.0 43.6 85.3 #> 5 5 57.8 91.3 99.6 35.3 43.2 91.1 97.9 100.0 25.9 76.6 #> 6 6 57.8 91.3 99.6 35.3 43.2 91.1 97.9 100.0 25.9 76.6 #> 7 7 57.8 91.3 99.6 35.3 43.2 91.1 97.9 100.0 25.9 76.6 #> 8 8 57.8 91.3 99.6 35.3 43.2 91.1 97.9 100.0 25.9 76.6 #> 9 9 57.8 91.3 99.6 35.3 43.2 91.1 97.9 100.0 25.9 76.6 #> 10 10 46.4 84.4 97.7 25.3 35.3 83.0 93.8 100.0 15.2 66.7 #> 11 11 46.4 84.4 97.7 25.3 35.3 83.0 93.8 100.0 15.2 66.7 #> 12 12 46.4 84.4 97.7 25.3 35.3 83.0 93.8 100.0 15.2 66.7 #> 13 13 46.4 84.4 97.7 25.3 35.3 83.0 93.8 100.0 15.2 66.7 #> 14 14 46.4 84.4 97.7 25.3 35.3 83.0 93.8 100.0 15.2 66.7 #> 15 15 30.4 71.9 92.7 17.6 22.5 69.9 89.1 99.0 12.0 56.1 #> 16 16 30.4 71.9 92.7 17.6 22.5 69.9 89.1 99.0 12.0 56.1 #> 17 17 30.4 71.9 92.7 17.6 22.5 69.9 89.1 99.0 12.0 56.1 #> 18 18 30.4 71.9 92.7 17.6 22.5 69.9 89.1 99.0 12.0 56.1 #> 19 19 30.4 71.9 92.7 17.6 22.5 69.9 89.1 99.0 12.0 56.1 #> 20 20 19.3 64.3 87.9 10.2 14.1 61.1 81.6 98.8 6.0 44.9 #> 21 21 19.3 64.3 87.9 10.2 14.1 61.1 81.6 98.8 6.0 44.9 #> 22 22 19.3 64.3 87.9 10.2 14.1 61.1 81.6 98.8 6.0 44.9 #> 23 23 19.3 64.3 87.9 10.2 14.1 61.1 81.6 98.8 6.0 44.9 #> 24 24 19.3 64.3 87.9 10.2 14.1 61.1 81.6 98.8 6.0 44.9 #> 25 25 11.5 48.7 79.1 5.3 7.3 46.9 71.5 98.1 1.5 29.0 #> 26 26 11.5 48.7 79.1 5.3 7.3 46.9 71.5 98.1 1.5 29.0 #> 27 27 11.5 48.7 79.1 5.3 7.3 46.9 71.5 98.1 1.5 29.0 #> 28 28 11.5 48.7 79.1 5.3 7.3 46.9 71.5 98.1 1.5 29.0 #> 29 29 11.5 48.7 79.1 5.3 7.3 46.9 71.5 98.1 1.5 29.0 #> 30 30 7.3 36.4 68.5 3.4 4.5 33.9 58.9 97.0 1.4 18.9 #> 31 31 7.3 36.4 68.5 3.4 4.5 33.9 58.9 97.0 1.4 18.9 #> 32 32 7.3 36.4 68.5 3.4 4.5 33.9 58.9 97.0 1.4 18.9 #> 33 33 7.3 36.4 68.5 3.4 4.5 33.9 58.9 97.0 1.4 18.9 #> 34 34 7.3 36.4 68.5 3.4 4.5 33.9 58.9 97.0 1.4 18.9 #> 35 35 4.9 27.9 56.5 2.4 3.2 26.4 48.0 95.6 1.0 14.0 #> 36 36 4.9 27.9 56.5 2.4 3.2 26.4 48.0 95.6 1.0 14.0 #> 37 37 4.9 27.9 56.5 2.4 3.2 26.4 48.0 95.6 1.0 14.0 #> 38 38 4.9 27.9 56.5 2.4 3.2 26.4 48.0 95.6 1.0 14.0 #> 39 39 4.9 27.9 56.5 2.4 3.2 26.4 48.0 95.6 1.0 14.0 #> 40 40 2.4 18.0 45.6 1.0 1.2 16.1 37.9 90.8 0.3 7.7 #> 41 41 2.4 18.0 45.6 1.0 1.2 16.1 37.9 90.8 0.3 7.7 #> 42 42 2.4 18.0 45.6 1.0 1.2 16.1 37.9 90.8 0.3 7.7 #> 43 43 2.4 18.0 45.6 1.0 1.2 16.1 37.9 90.8 0.3 7.7 #> 44 44 2.4 18.0 45.6 1.0 1.2 16.1 37.9 90.8 0.3 7.7 #> 45 45 0.6 9.0 34.2 0.3 0.5 8.1 24.5 85.2 0.1 3.3 #> 46 46 0.6 9.0 34.2 0.3 0.5 8.1 24.5 85.2 0.1 3.3 #> 47 47 0.6 9.0 34.2 0.3 0.5 8.1 24.5 85.2 0.1 3.3 #> 48 48 0.6 9.0 34.2 0.3 0.5 8.1 24.5 85.2 0.1 3.3 #> 49 49 0.6 9.0 34.2 0.3 0.5 8.1 24.5 85.2 0.1 3.3 #> 50 50 0.2 5.5 21.5 0.0 0.1 4.3 14.5 76.8 0.0 1.6 #> 51 51 0.2 5.5 21.5 0.0 0.1 4.3 14.5 76.8 0.0 1.6 #> 52 52 0.2 5.5 21.5 0.0 0.1 4.3 14.5 76.8 0.0 1.6 #> 53 53 0.2 5.5 21.5 0.0 0.1 4.3 14.5 76.8 0.0 1.6 #> 54 54 0.2 5.5 21.5 0.0 0.1 4.3 14.5 76.8 0.0 1.6 #> 55 55 0.0 2.8 11.9 0.0 0.0 2.4 8.0 63.8 0.0 0.3 #> 56 56 0.0 2.8 11.9 0.0 0.0 2.4 8.0 63.8 0.0 0.3 #> 57 57 0.0 2.8 11.9 0.0 0.0 2.4 8.0 63.8 0.0 0.3 #> 58 58 0.0 2.8 11.9 0.0 0.0 2.4 8.0 63.8 0.0 0.3 #> 59 59 0.0 2.8 11.9 0.0 0.0 2.4 8.0 63.8 0.0 0.3 #> 60 60 0.0 1.1 6.8 0.0 0.0 0.9 4.2 50.5 0.0 0.0 #> 61 61 0.0 1.1 6.8 0.0 0.0 0.9 4.2 50.5 0.0 0.0 #> percentile20 percentile40 percentile50 percentile60 percentile80 #> 0 91.5 100.0 100.0 100.0 100.0 #> 1 91.5 100.0 100.0 100.0 100.0 #> 2 91.5 100.0 100.0 100.0 100.0 #> 3 91.5 100.0 100.0 100.0 100.0 #> 4 91.5 100.0 100.0 100.0 100.0 #> 5 85.5 99.4 99.7 100.0 100.0 #> 6 85.5 99.4 99.7 100.0 100.0 #> 7 85.5 99.4 99.7 100.0 100.0 #> 8 85.5 99.4 99.7 100.0 100.0 #> 9 85.5 99.4 99.7 100.0 100.0 #> 10 75.6 95.3 98.3 99.8 100.0 #> 11 75.6 95.3 98.3 99.8 100.0 #> 12 75.6 95.3 98.3 99.8 100.0 #> 13 75.6 95.3 98.3 99.8 100.0 #> 14 75.6 95.3 98.3 99.8 100.0 #> 15 63.8 90.6 94.5 96.5 99.1 #> 16 63.8 90.6 94.5 96.5 99.1 #> 17 63.8 90.6 94.5 96.5 99.1 #> 18 63.8 90.6 94.5 96.5 99.1 #> 19 63.8 90.6 94.5 96.5 99.1 #> 20 57.1 83.6 90.9 95.9 98.9 #> 21 57.1 83.6 90.9 95.9 98.9 #> 22 57.1 83.6 90.9 95.9 98.9 #> 23 57.1 83.6 90.9 95.9 98.9 #> 24 57.1 83.6 90.9 95.9 98.9 #> 25 41.8 74.3 84.2 91.0 98.4 #> 26 41.8 74.3 84.2 91.0 98.4 #> 27 41.8 74.3 84.2 91.0 98.4 #> 28 41.8 74.3 84.2 91.0 98.4 #> 29 41.8 74.3 84.2 91.0 98.4 #> 30 27.4 62.0 77.1 87.2 97.5 #> 31 27.4 62.0 77.1 87.2 97.5 #> 32 27.4 62.0 77.1 87.2 97.5 #> 33 27.4 62.0 77.1 87.2 97.5 #> 34 27.4 62.0 77.1 87.2 97.5 #> 35 21.2 50.8 64.9 79.8 96.0 #> 36 21.2 50.8 64.9 79.8 96.0 #> 37 21.2 50.8 64.9 79.8 96.0 #> 38 21.2 50.8 64.9 79.8 96.0 #> 39 21.2 50.8 64.9 79.8 96.0 #> 40 12.7 39.5 53.9 67.8 91.5 #> 41 12.7 39.5 53.9 67.8 91.5 #> 42 12.7 39.5 53.9 67.8 91.5 #> 43 12.7 39.5 53.9 67.8 91.5 #> 44 12.7 39.5 53.9 67.8 91.5 #> 45 6.6 27.6 42.5 57.2 86.1 #> 46 6.6 27.6 42.5 57.2 86.1 #> 47 6.6 27.6 42.5 57.2 86.1 #> 48 6.6 27.6 42.5 57.2 86.1 #> 49 6.6 27.6 42.5 57.2 86.1 #> 50 3.7 16.6 28.6 42.6 77.9 #> 51 3.7 16.6 28.6 42.6 77.9 #> 52 3.7 16.6 28.6 42.6 77.9 #> 53 3.7 16.6 28.6 42.6 77.9 #> 54 3.7 16.6 28.6 42.6 77.9 #> 55 1.6 8.5 17.2 29.0 65.4 #> 56 1.6 8.5 17.2 29.0 65.4 #> 57 1.6 8.5 17.2 29.0 65.4 #> 58 1.6 8.5 17.2 29.0 65.4 #> 59 1.6 8.5 17.2 29.0 65.4 #> 60 0.2 4.3 10.5 20.3 53.7 #> 61 0.2 4.3 10.5 20.3 53.7 #> [ reached getOption("max.print") -- omitted 39 rows ]
# Given a specific PPI score (from 0 - 100), get the row of poverty # probabilities from PPI table it corresponds to ppiScore <- 50 ppiLKA2016[ppiLKA2016$score == ppiScore, ]
#> score nl100 nl150 nl200 half100 ppp125 ppp200 ppp250 ppp500 ppp190 ppp310 #> 50 50 0.2 5.5 21.5 0 0.1 4.3 14.5 76.8 0 1.6 #> percentile20 percentile40 percentile50 percentile60 percentile80 #> 50 3.7 16.6 28.6 42.6 77.9
# Use subset() function to get the row of poverty probabilities corresponding # to specific PPI score ppiScore <- 50 subset(ppiLKA2016, score == ppiScore)
#> score nl100 nl150 nl200 half100 ppp125 ppp200 ppp250 ppp500 ppp190 ppp310 #> 50 50 0.2 5.5 21.5 0 0.1 4.3 14.5 76.8 0 1.6 #> percentile20 percentile40 percentile50 percentile60 percentile80 #> 50 3.7 16.6 28.6 42.6 77.9
# Given a specific PPI score (from 0 - 100), get a poverty probability # based on a specific poverty definition. In this example, the national # poverty line definition ppiScore <- 50 ppiLKA2016[ppiLKA2016$score == ppiScore, "nl100"]
#> [1] 0.2