Poverty Probability Index (PPI) lookup table for India using r68 poverty definitions
Source:R/04_data.R
ppiIND2016_r68.Rd
Poverty Probability Index (PPI) lookup table for India using r68 poverty definitions
Format
A data frame with 16 columns and 101 rows:
score
PPI score
rangarajan100
National rangarajan (100%)
rangarajan150
National rangarajan (150%)
rangarajan200
National rangarajan (200%)
half100
Poorest half below 100% national
rbiUrban
RBI urban
rbiRural
RBI rural
ppp190
Below $1.90 per day purchasing power parity (2011)
ppp310
Below $3.10 per day purchasing power parity (2011)
ppp380
Below $3.80 per day purchasing power parity (2011)
ppp400
Below $4.00 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
Examples
# 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
#> 62 62 3.1 21.9 48.1 0.5 73.4 58.6
#> 63 63 3.1 21.9 48.1 0.5 73.4 58.6
#> 64 64 3.1 21.9 48.1 0.5 73.4 58.6
#> 65 65 1.8 18.6 43.3 0.1 66.6 50.9
#> 66 66 1.8 18.6 43.3 0.1 66.6 50.9
#> 67 67 1.8 18.6 43.3 0.1 66.6 50.9
#> 68 68 1.8 18.6 43.3 0.1 66.6 50.9
#> 69 69 1.8 18.6 43.3 0.1 66.6 50.9
#> 70 70 0.9 11.9 33.9 0.0 62.1 46.9
#> 71 71 0.9 11.9 33.9 0.0 62.1 46.9
#> 72 72 0.9 11.9 33.9 0.0 62.1 46.9
#> 73 73 0.9 11.9 33.9 0.0 62.1 46.9
#> 74 74 0.9 11.9 33.9 0.0 62.1 46.9
#> 75 75 0.5 7.8 26.8 0.0 56.0 40.1
#> 76 76 0.5 7.8 26.8 0.0 56.0 40.1
#> 77 77 0.5 7.8 26.8 0.0 56.0 40.1
#> 78 78 0.5 7.8 26.8 0.0 56.0 40.1
#> 79 79 0.5 7.8 26.8 0.0 56.0 40.1
#> 80 80 0.1 4.1 17.9 0.0 54.0 38.1
#> 81 81 0.1 4.1 17.9 0.0 54.0 38.1
#> 82 82 0.1 4.1 17.9 0.0 54.0 38.1
#> 83 83 0.1 4.1 17.9 0.0 54.0 38.1
#> 84 84 0.1 4.1 17.9 0.0 54.0 38.1
#> 85 85 0.0 3.1 11.7 0.0 54.0 36.3
#> 86 86 0.0 3.1 11.7 0.0 54.0 36.3
#> 87 87 0.0 3.1 11.7 0.0 54.0 36.3
#> 88 88 0.0 3.1 11.7 0.0 54.0 36.3
#> 89 89 0.0 3.1 11.7 0.0 54.0 36.3
#> 90 90 0.0 0.5 4.1 0.0 54.0 36.3
#> 91 91 0.0 0.5 4.1 0.0 54.0 36.3
#> 92 92 0.0 0.5 4.1 0.0 54.0 36.3
#> 93 93 0.0 0.5 4.1 0.0 54.0 36.3
#> 94 94 0.0 0.5 4.1 0.0 54.0 36.3
#> 95 95 0.0 0.0 0.0 0.0 48.9 36.3
#> 96 96 0.0 0.0 0.0 0.0 48.9 36.3
#> 97 97 0.0 0.0 0.0 0.0 48.9 36.3
#> 98 98 0.0 0.0 0.0 0.0 48.9 36.3
#> 99 99 0.0 0.0 0.0 0.0 48.9 36.3
#> 100 100 0.0 0.0 0.0 0.0 48.9 36.3
#> 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
#> 62 0.2 5.7 16.4 19.2 1.1 4.9 10.5
#> 63 0.2 5.7 16.4 19.2 1.1 4.9 10.5
#> 64 0.2 5.7 16.4 19.2 1.1 4.9 10.5
#> 65 0.1 4.2 13.6 16.8 0.8 2.8 6.6
#> 66 0.1 4.2 13.6 16.8 0.8 2.8 6.6
#> 67 0.1 4.2 13.6 16.8 0.8 2.8 6.6
#> 68 0.1 4.2 13.6 16.8 0.8 2.8 6.6
#> 69 0.1 4.2 13.6 16.8 0.8 2.8 6.6
#> 70 0.1 2.0 7.8 10.7 0.2 1.5 3.7
#> 71 0.1 2.0 7.8 10.7 0.2 1.5 3.7
#> 72 0.1 2.0 7.8 10.7 0.2 1.5 3.7
#> 73 0.1 2.0 7.8 10.7 0.2 1.5 3.7
#> 74 0.1 2.0 7.8 10.7 0.2 1.5 3.7
#> 75 0.1 1.2 4.2 6.6 0.1 0.7 1.6
#> 76 0.1 1.2 4.2 6.6 0.1 0.7 1.6
#> 77 0.1 1.2 4.2 6.6 0.1 0.7 1.6
#> 78 0.1 1.2 4.2 6.6 0.1 0.7 1.6
#> 79 0.1 1.2 4.2 6.6 0.1 0.7 1.6
#> 80 0.0 0.7 3.0 3.8 0.0 0.1 0.5
#> 81 0.0 0.7 3.0 3.8 0.0 0.1 0.5
#> 82 0.0 0.7 3.0 3.8 0.0 0.1 0.5
#> 83 0.0 0.7 3.0 3.8 0.0 0.1 0.5
#> 84 0.0 0.7 3.0 3.8 0.0 0.1 0.5
#> 85 0.0 0.2 1.9 2.5 0.0 0.1 0.2
#> 86 0.0 0.2 1.9 2.5 0.0 0.1 0.2
#> 87 0.0 0.2 1.9 2.5 0.0 0.1 0.2
#> 88 0.0 0.2 1.9 2.5 0.0 0.1 0.2
#> 89 0.0 0.2 1.9 2.5 0.0 0.1 0.2
#> 90 0.0 0.0 0.4 0.4 0.0 0.0 0.1
#> 91 0.0 0.0 0.4 0.4 0.0 0.0 0.1
#> 92 0.0 0.0 0.4 0.4 0.0 0.0 0.1
#> 93 0.0 0.0 0.4 0.4 0.0 0.0 0.1
#> 94 0.0 0.0 0.4 0.4 0.0 0.0 0.1
#> 95 0.0 0.0 0.0 0.0 0.0 0.0 0.0
#> 96 0.0 0.0 0.0 0.0 0.0 0.0 0.0
#> 97 0.0 0.0 0.0 0.0 0.0 0.0 0.0
#> 98 0.0 0.0 0.0 0.0 0.0 0.0 0.0
#> 99 0.0 0.0 0.0 0.0 0.0 0.0 0.0
#> 100 0.0 0.0 0.0 0.0 0.0 0.0 0.0
#> 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
#> 62 18.2 50.1
#> 63 18.2 50.1
#> 64 18.2 50.1
#> 65 13.2 41.8
#> 66 13.2 41.8
#> 67 13.2 41.8
#> 68 13.2 41.8
#> 69 13.2 41.8
#> 70 8.4 36.2
#> 71 8.4 36.2
#> 72 8.4 36.2
#> 73 8.4 36.2
#> 74 8.4 36.2
#> 75 4.6 24.9
#> 76 4.6 24.9
#> 77 4.6 24.9
#> 78 4.6 24.9
#> 79 4.6 24.9
#> 80 2.1 14.3
#> 81 2.1 14.3
#> 82 2.1 14.3
#> 83 2.1 14.3
#> 84 2.1 14.3
#> 85 1.2 10.5
#> 86 1.2 10.5
#> 87 1.2 10.5
#> 88 1.2 10.5
#> 89 1.2 10.5
#> 90 0.1 6.8
#> 91 0.1 6.8
#> 92 0.1 6.8
#> 93 0.1 6.8
#> 94 0.1 6.8
#> 95 0.0 1.3
#> 96 0.0 1.3
#> 97 0.0 1.3
#> 98 0.0 1.3
#> 99 0.0 1.3
#> 100 0.0 1.3
# 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