Poverty Probability Index (PPI) lookup table for India using r68 poverty definitions
ppiIND2016_r68
A data frame with 16 columns and 101 rows:
scorePPI score
rangarajan100National rangarajan (100%)
rangarajan150National rangarajan (150%)
rangarajan200National rangarajan (200%)
half100Poorest half below 100% national
rbiUrbanRBI urban
rbiRuralRBI rural
ppp190Below $1.90 per day purchasing power parity (2011)
ppp310Below $3.10 per day purchasing power parity (2011)
ppp380Below $3.80 per day purchasing power parity (2011)
ppp400Below $4.00 per day purchasing power parity (2011)
percentile20Below 20th percentile poverty line
percentile40Below 40th percentile poverty line
percentile50Below 50th percentile poverty line
percentile60Below 60th percentile poverty line
percentile80Below 80th percentile poverty line
# Access India PPI table ppiIND2016_r68#> score rangarajan100 rangarajan150 rangarajan200 half100 rbiUrban rbiRural #> 0 0 76.4 98.1 99.5 58.0 99.8 86.0 #> 1 1 76.4 98.1 99.5 58.0 99.8 86.0 #> 2 2 76.4 98.1 99.5 58.0 99.8 86.0 #> 3 3 76.4 98.1 99.5 58.0 99.8 86.0 #> 4 4 76.4 98.1 99.5 58.0 99.8 86.0 #> 5 5 70.9 97.3 99.3 48.3 99.5 86.0 #> 6 6 70.9 97.3 99.3 48.3 99.5 86.0 #> 7 7 70.9 97.3 99.3 48.3 99.5 86.0 #> 8 8 70.9 97.3 99.3 48.3 99.5 86.0 #> 9 9 70.9 97.3 99.3 48.3 99.5 86.0 #> 10 10 61.8 93.8 98.8 41.2 96.7 85.2 #> 11 11 61.8 93.8 98.8 41.2 96.7 85.2 #> 12 12 61.8 93.8 98.8 41.2 96.7 85.2 #> 13 13 61.8 93.8 98.8 41.2 96.7 85.2 #> 14 14 61.8 93.8 98.8 41.2 96.7 85.2 #> 15 15 51.7 90.6 97.2 30.0 94.3 84.4 #> 16 16 51.7 90.6 97.2 30.0 94.3 84.4 #> 17 17 51.7 90.6 97.2 30.0 94.3 84.4 #> 18 18 51.7 90.6 97.2 30.0 94.3 84.4 #> 19 19 51.7 90.6 97.2 30.0 94.3 84.4 #> 20 20 44.6 85.8 97.0 20.8 93.8 84.4 #> 21 21 44.6 85.8 97.0 20.8 93.8 84.4 #> 22 22 44.6 85.8 97.0 20.8 93.8 84.4 #> 23 23 44.6 85.8 97.0 20.8 93.8 84.4 #> 24 24 44.6 85.8 97.0 20.8 93.8 84.4 #> 25 25 37.5 81.5 95.4 17.6 93.0 84.4 #> 26 26 37.5 81.5 95.4 17.6 93.0 84.4 #> 27 27 37.5 81.5 95.4 17.6 93.0 84.4 #> 28 28 37.5 81.5 95.4 17.6 93.0 84.4 #> 29 29 37.5 81.5 95.4 17.6 93.0 84.4 #> 30 30 31.5 77.1 93.2 12.6 93.0 84.4 #> 31 31 31.5 77.1 93.2 12.6 93.0 84.4 #> 32 32 31.5 77.1 93.2 12.6 93.0 84.4 #> 33 33 31.5 77.1 93.2 12.6 93.0 84.4 #> 34 34 31.5 77.1 93.2 12.6 93.0 84.4 #> 35 35 22.9 69.5 88.6 6.9 89.2 83.7 #> 36 36 22.9 69.5 88.6 6.9 89.2 83.7 #> 37 37 22.9 69.5 88.6 6.9 89.2 83.7 #> 38 38 22.9 69.5 88.6 6.9 89.2 83.7 #> 39 39 22.9 69.5 88.6 6.9 89.2 83.7 #> 40 40 16.9 60.8 84.2 5.3 88.8 80.5 #> 41 41 16.9 60.8 84.2 5.3 88.8 80.5 #> 42 42 16.9 60.8 84.2 5.3 88.8 80.5 #> 43 43 16.9 60.8 84.2 5.3 88.8 80.5 #> 44 44 16.9 60.8 84.2 5.3 88.8 80.5 #> 45 45 11.2 46.8 75.4 3.5 88.7 78.0 #> 46 46 11.2 46.8 75.4 3.5 88.7 78.0 #> 47 47 11.2 46.8 75.4 3.5 88.7 78.0 #> 48 48 11.2 46.8 75.4 3.5 88.7 78.0 #> 49 49 11.2 46.8 75.4 3.5 88.7 78.0 #> 50 50 8.0 39.1 67.7 1.8 84.5 71.9 #> 51 51 8.0 39.1 67.7 1.8 84.5 71.9 #> 52 52 8.0 39.1 67.7 1.8 84.5 71.9 #> 53 53 8.0 39.1 67.7 1.8 84.5 71.9 #> 54 54 8.0 39.1 67.7 1.8 84.5 71.9 #> 55 55 5.1 28.2 55.8 0.7 76.3 63.2 #> 56 56 5.1 28.2 55.8 0.7 76.3 63.2 #> 57 57 5.1 28.2 55.8 0.7 76.3 63.2 #> 58 58 5.1 28.2 55.8 0.7 76.3 63.2 #> 59 59 5.1 28.2 55.8 0.7 76.3 63.2 #> 60 60 3.1 21.9 48.1 0.5 73.4 58.6 #> 61 61 3.1 21.9 48.1 0.5 73.4 58.6 #> ppp190 ppp310 ppp380 ppp400 percentile20 percentile40 percentile50 #> 0 32.2 89.6 95.8 96.5 NA 60.0 NA #> 1 32.2 89.6 95.8 96.5 NA 60.0 NA #> 2 32.2 89.6 95.8 96.5 NA 60.0 NA #> 3 32.2 89.6 95.8 96.5 NA 60.0 NA #> 4 32.2 89.6 95.8 96.5 NA 60.0 NA #> 5 21.1 82.9 94.0 95.7 68.5 91.9 95.1 #> 6 21.1 82.9 94.0 95.7 68.5 91.9 95.1 #> 7 21.1 82.9 94.0 95.7 68.5 91.9 95.1 #> 8 21.1 82.9 94.0 95.7 68.5 91.9 95.1 #> 9 21.1 82.9 94.0 95.7 68.5 91.9 95.1 #> 10 18.3 75.2 90.0 92.3 62.2 87.3 93.0 #> 11 18.3 75.2 90.0 92.3 62.2 87.3 93.0 #> 12 18.3 75.2 90.0 92.3 62.2 87.3 93.0 #> 13 18.3 75.2 90.0 92.3 62.2 87.3 93.0 #> 14 18.3 75.2 90.0 92.3 62.2 87.3 93.0 #> 15 13.7 66.1 86.8 89.7 52.1 81.7 88.8 #> 16 13.7 66.1 86.8 89.7 52.1 81.7 88.8 #> 17 13.7 66.1 86.8 89.7 52.1 81.7 88.8 #> 18 13.7 66.1 86.8 89.7 52.1 81.7 88.8 #> 19 13.7 66.1 86.8 89.7 52.1 81.7 88.8 #> 20 11.1 59.4 79.3 83.0 40.9 71.9 84.6 #> 21 11.1 59.4 79.3 83.0 40.9 71.9 84.6 #> 22 11.1 59.4 79.3 83.0 40.9 71.9 84.6 #> 23 11.1 59.4 79.3 83.0 40.9 71.9 84.6 #> 24 11.1 59.4 79.3 83.0 40.9 71.9 84.6 #> 25 7.9 50.3 75.1 79.2 31.2 63.6 75.5 #> 26 7.9 50.3 75.1 79.2 31.2 63.6 75.5 #> 27 7.9 50.3 75.1 79.2 31.2 63.6 75.5 #> 28 7.9 50.3 75.1 79.2 31.2 63.6 75.5 #> 29 7.9 50.3 75.1 79.2 31.2 63.6 75.5 #> 30 5.9 45.1 69.5 74.1 25.0 54.5 69.0 #> 31 5.9 45.1 69.5 74.1 25.0 54.5 69.0 #> 32 5.9 45.1 69.5 74.1 25.0 54.5 69.0 #> 33 5.9 45.1 69.5 74.1 25.0 54.5 69.0 #> 34 5.9 45.1 69.5 74.1 25.0 54.5 69.0 #> 35 3.5 34.6 59.9 65.7 18.0 46.5 62.4 #> 36 3.5 34.6 59.9 65.7 18.0 46.5 62.4 #> 37 3.5 34.6 59.9 65.7 18.0 46.5 62.4 #> 38 3.5 34.6 59.9 65.7 18.0 46.5 62.4 #> 39 3.5 34.6 59.9 65.7 18.0 46.5 62.4 #> 40 2.6 26.8 52.2 57.3 10.8 35.4 50.4 #> 41 2.6 26.8 52.2 57.3 10.8 35.4 50.4 #> 42 2.6 26.8 52.2 57.3 10.8 35.4 50.4 #> 43 2.6 26.8 52.2 57.3 10.8 35.4 50.4 #> 44 2.6 26.8 52.2 57.3 10.8 35.4 50.4 #> 45 1.6 20.1 37.5 42.9 8.2 27.1 41.1 #> 46 1.6 20.1 37.5 42.9 8.2 27.1 41.1 #> 47 1.6 20.1 37.5 42.9 8.2 27.1 41.1 #> 48 1.6 20.1 37.5 42.9 8.2 27.1 41.1 #> 49 1.6 20.1 37.5 42.9 8.2 27.1 41.1 #> 50 1.2 14.2 30.8 35.2 5.6 17.6 26.2 #> 51 1.2 14.2 30.8 35.2 5.6 17.6 26.2 #> 52 1.2 14.2 30.8 35.2 5.6 17.6 26.2 #> 53 1.2 14.2 30.8 35.2 5.6 17.6 26.2 #> 54 1.2 14.2 30.8 35.2 5.6 17.6 26.2 #> 55 0.6 8.8 22.0 25.9 2.7 10.9 18.0 #> 56 0.6 8.8 22.0 25.9 2.7 10.9 18.0 #> 57 0.6 8.8 22.0 25.9 2.7 10.9 18.0 #> 58 0.6 8.8 22.0 25.9 2.7 10.9 18.0 #> 59 0.6 8.8 22.0 25.9 2.7 10.9 18.0 #> 60 0.2 5.7 16.4 19.2 1.1 4.9 10.5 #> 61 0.2 5.7 16.4 19.2 1.1 4.9 10.5 #> percentile60 percentile80 #> 0 80.0 NA #> 1 80.0 NA #> 2 80.0 NA #> 3 80.0 NA #> 4 80.0 NA #> 5 98.3 99.6 #> 6 98.3 99.6 #> 7 98.3 99.6 #> 8 98.3 99.6 #> 9 98.3 99.6 #> 10 97.3 99.5 #> 11 97.3 99.5 #> 12 97.3 99.5 #> 13 97.3 99.5 #> 14 97.3 99.5 #> 15 94.0 99.2 #> 16 94.0 99.2 #> 17 94.0 99.2 #> 18 94.0 99.2 #> 19 94.0 99.2 #> 20 91.4 98.4 #> 21 91.4 98.4 #> 22 91.4 98.4 #> 23 91.4 98.4 #> 24 91.4 98.4 #> 25 86.1 97.5 #> 26 86.1 97.5 #> 27 86.1 97.5 #> 28 86.1 97.5 #> 29 86.1 97.5 #> 30 80.7 96.6 #> 31 80.7 96.6 #> 32 80.7 96.6 #> 33 80.7 96.6 #> 34 80.7 96.6 #> 35 75.9 94.7 #> 36 75.9 94.7 #> 37 75.9 94.7 #> 38 75.9 94.7 #> 39 75.9 94.7 #> 40 66.2 90.0 #> 41 66.2 90.0 #> 42 66.2 90.0 #> 43 66.2 90.0 #> 44 66.2 90.0 #> 45 54.8 85.3 #> 46 54.8 85.3 #> 47 54.8 85.3 #> 48 54.8 85.3 #> 49 54.8 85.3 #> 50 39.9 73.3 #> 51 39.9 73.3 #> 52 39.9 73.3 #> 53 39.9 73.3 #> 54 39.9 73.3 #> 55 29.3 65.9 #> 56 29.3 65.9 #> 57 29.3 65.9 #> 58 29.3 65.9 #> 59 29.3 65.9 #> 60 18.2 50.1 #> 61 18.2 50.1 #> [ 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 ppiIND2016_r68[ppiIND2016_r68$score == ppiScore, ]#> score rangarajan100 rangarajan150 rangarajan200 half100 rbiUrban rbiRural #> 50 50 8 39.1 67.7 1.8 84.5 71.9 #> ppp190 ppp310 ppp380 ppp400 percentile20 percentile40 percentile50 #> 50 1.2 14.2 30.8 35.2 5.6 17.6 26.2 #> percentile60 percentile80 #> 50 39.9 73.3# Use subset() function to get the row of poverty probabilities corresponding # to specific PPI score ppiScore <- 50 subset(ppiIND2016_r68, score == ppiScore)#> score rangarajan100 rangarajan150 rangarajan200 half100 rbiUrban rbiRural #> 50 50 8 39.1 67.7 1.8 84.5 71.9 #> ppp190 ppp310 ppp380 ppp400 percentile20 percentile40 percentile50 #> 50 1.2 14.2 30.8 35.2 5.6 17.6 26.2 #> percentile60 percentile80 #> 50 39.9 73.3# Given a specific PPI score (from 0 - 100), get a poverty probability # based on a specific poverty definition. In this example, the national # rangarajan poverty definition ppiScore <- 50 ppiIND2016_r68[ppiIND2016_r68$score == ppiScore, "rangarajan100"]#> [1] 8