Poverty Probability Index (PPI) lookup table for Bangladesh
ppiBGD2013
A data frame with 10 columns and 101 rows:
scorePPI score
nlNational lower poverty line
nu100National upper poverty line (100%)
nu150National upper poverty line (150%)
nu200National upper poverty line (200%)
extremeUSAID extreme poverty
ppp125Below $1.25 per day purchasing power parity (2005)
ppp175Below $1.75 per day purchasing power parity (2005)
ppp200Below $2.00 per day purchasing power parity (2005)
ppp250Below $2.50 per day purchasing power parity (2005)
# Access Bangladesh PPI table ppiBGD2013#> score nl nu100 nu150 nu200 extreme ppp125 ppp175 ppp200 ppp250 #> 0 0 76.2 87.3 98.4 100.0 65.8 97.9 98.8 100.0 100.0 #> 1 1 76.2 87.3 98.4 100.0 65.8 97.9 98.8 100.0 100.0 #> 2 2 76.2 87.3 98.4 100.0 65.8 97.9 98.8 100.0 100.0 #> 3 3 76.2 87.3 98.4 100.0 65.8 97.9 98.8 100.0 100.0 #> 4 4 76.2 87.3 98.4 100.0 65.8 97.9 98.8 100.0 100.0 #> 5 5 70.6 84.6 97.7 99.5 65.6 89.3 98.2 98.7 99.7 #> 6 6 70.6 84.6 97.7 99.5 65.6 89.3 98.2 98.7 99.7 #> 7 7 70.6 84.6 97.7 99.5 65.6 89.3 98.2 98.7 99.7 #> 8 8 70.6 84.6 97.7 99.5 65.6 89.3 98.2 98.7 99.7 #> 9 9 70.6 84.6 97.7 99.5 65.6 89.3 98.2 98.7 99.7 #> 10 10 63.6 82.1 97.6 99.5 57.2 88.8 98.2 98.7 99.7 #> 11 11 63.6 82.1 97.6 99.5 57.2 88.8 98.2 98.7 99.7 #> 12 12 63.6 82.1 97.6 99.5 57.2 88.8 98.2 98.7 99.7 #> 13 13 63.6 82.1 97.6 99.5 57.2 88.8 98.2 98.7 99.7 #> 14 14 63.6 82.1 97.6 99.5 57.2 88.8 98.2 98.7 99.7 #> 15 15 46.4 68.0 96.2 99.5 42.5 81.6 96.9 98.6 99.7 #> 16 16 46.4 68.0 96.2 99.5 42.5 81.6 96.9 98.6 99.7 #> 17 17 46.4 68.0 96.2 99.5 42.5 81.6 96.9 98.6 99.7 #> 18 18 46.4 68.0 96.2 99.5 42.5 81.6 96.9 98.6 99.7 #> 19 19 46.4 68.0 96.2 99.5 42.5 81.6 96.9 98.6 99.7 #> 20 20 37.1 62.7 96.1 99.5 32.7 78.0 96.3 98.4 99.7 #> 21 21 37.1 62.7 96.1 99.5 32.7 78.0 96.3 98.4 99.7 #> 22 22 37.1 62.7 96.1 99.5 32.7 78.0 96.3 98.4 99.7 #> 23 23 37.1 62.7 96.1 99.5 32.7 78.0 96.3 98.4 99.7 #> 24 24 37.1 62.7 96.1 99.5 32.7 78.0 96.3 98.4 99.7 #> 25 25 26.6 50.4 88.7 97.9 22.9 65.8 91.6 95.3 98.7 #> 26 26 26.6 50.4 88.7 97.9 22.9 65.8 91.6 95.3 98.7 #> 27 27 26.6 50.4 88.7 97.9 22.9 65.8 91.6 95.3 98.7 #> 28 28 26.6 50.4 88.7 97.9 22.9 65.8 91.6 95.3 98.7 #> 29 29 26.6 50.4 88.7 97.9 22.9 65.8 91.6 95.3 98.7 #> 30 30 19.1 40.9 84.3 96.0 16.9 57.0 87.9 93.5 98.2 #> 31 31 19.1 40.9 84.3 96.0 16.9 57.0 87.9 93.5 98.2 #> 32 32 19.1 40.9 84.3 96.0 16.9 57.0 87.9 93.5 98.2 #> 33 33 19.1 40.9 84.3 96.0 16.9 57.0 87.9 93.5 98.2 #> 34 34 19.1 40.9 84.3 96.0 16.9 57.0 87.9 93.5 98.2 #> 35 35 15.0 36.0 80.8 93.6 13.8 50.3 83.6 90.7 96.9 #> 36 36 15.0 36.0 80.8 93.6 13.8 50.3 83.6 90.7 96.9 #> 37 37 15.0 36.0 80.8 93.6 13.8 50.3 83.6 90.7 96.9 #> 38 38 15.0 36.0 80.8 93.6 13.8 50.3 83.6 90.7 96.9 #> 39 39 15.0 36.0 80.8 93.6 13.8 50.3 83.6 90.7 96.9 #> 40 40 12.7 26.7 76.1 91.9 11.1 40.8 79.6 87.4 94.9 #> 41 41 12.7 26.7 76.1 91.9 11.1 40.8 79.6 87.4 94.9 #> 42 42 12.7 26.7 76.1 91.9 11.1 40.8 79.6 87.4 94.9 #> 43 43 12.7 26.7 76.1 91.9 11.1 40.8 79.6 87.4 94.9 #> 44 44 12.7 26.7 76.1 91.9 11.1 40.8 79.6 87.4 94.9 #> 45 45 6.6 19.6 65.8 86.6 5.4 33.5 68.8 79.6 91.5 #> 46 46 6.6 19.6 65.8 86.6 5.4 33.5 68.8 79.6 91.5 #> 47 47 6.6 19.6 65.8 86.6 5.4 33.5 68.8 79.6 91.5 #> 48 48 6.6 19.6 65.8 86.6 5.4 33.5 68.8 79.6 91.5 #> 49 49 6.6 19.6 65.8 86.6 5.4 33.5 68.8 79.6 91.5 #> 50 50 3.9 14.7 55.0 81.3 4.5 24.2 60.3 74.2 87.9 #> 51 51 3.9 14.7 55.0 81.3 4.5 24.2 60.3 74.2 87.9 #> 52 52 3.9 14.7 55.0 81.3 4.5 24.2 60.3 74.2 87.9 #> 53 53 3.9 14.7 55.0 81.3 4.5 24.2 60.3 74.2 87.9 #> 54 54 3.9 14.7 55.0 81.3 4.5 24.2 60.3 74.2 87.9 #> 55 55 1.5 7.1 42.6 75.6 1.8 14.5 50.4 65.2 84.3 #> 56 56 1.5 7.1 42.6 75.6 1.8 14.5 50.4 65.2 84.3 #> 57 57 1.5 7.1 42.6 75.6 1.8 14.5 50.4 65.2 84.3 #> 58 58 1.5 7.1 42.6 75.6 1.8 14.5 50.4 65.2 84.3 #> 59 59 1.5 7.1 42.6 75.6 1.8 14.5 50.4 65.2 84.3 #> 60 60 0.9 5.3 34.8 64.9 1.0 10.9 40.4 54.6 73.2 #> 61 61 0.9 5.3 34.8 64.9 1.0 10.9 40.4 54.6 73.2 #> 62 62 0.9 5.3 34.8 64.9 1.0 10.9 40.4 54.6 73.2 #> 63 63 0.9 5.3 34.8 64.9 1.0 10.9 40.4 54.6 73.2 #> 64 64 0.9 5.3 34.8 64.9 1.0 10.9 40.4 54.6 73.2 #> 65 65 0.4 4.4 28.6 52.5 0.1 8.7 32.2 44.5 63.3 #> 66 66 0.4 4.4 28.6 52.5 0.1 8.7 32.2 44.5 63.3 #> 67 67 0.4 4.4 28.6 52.5 0.1 8.7 32.2 44.5 63.3 #> 68 68 0.4 4.4 28.6 52.5 0.1 8.7 32.2 44.5 63.3 #> 69 69 0.4 4.4 28.6 52.5 0.1 8.7 32.2 44.5 63.3 #> 70 70 0.2 2.3 24.6 51.0 0.0 5.6 31.5 42.9 60.4 #> 71 71 0.2 2.3 24.6 51.0 0.0 5.6 31.5 42.9 60.4 #> 72 72 0.2 2.3 24.6 51.0 0.0 5.6 31.5 42.9 60.4 #> 73 73 0.2 2.3 24.6 51.0 0.0 5.6 31.5 42.9 60.4 #> 74 74 0.2 2.3 24.6 51.0 0.0 5.6 31.5 42.9 60.4 #> 75 75 0.0 1.2 21.4 40.3 0.0 4.3 25.8 34.0 50.7 #> 76 76 0.0 1.2 21.4 40.3 0.0 4.3 25.8 34.0 50.7 #> 77 77 0.0 1.2 21.4 40.3 0.0 4.3 25.8 34.0 50.7 #> 78 78 0.0 1.2 21.4 40.3 0.0 4.3 25.8 34.0 50.7 #> 79 79 0.0 1.2 21.4 40.3 0.0 4.3 25.8 34.0 50.7 #> 80 80 0.0 0.5 17.0 32.0 0.0 2.7 19.7 26.7 40.9 #> 81 81 0.0 0.5 17.0 32.0 0.0 2.7 19.7 26.7 40.9 #> 82 82 0.0 0.5 17.0 32.0 0.0 2.7 19.7 26.7 40.9 #> 83 83 0.0 0.5 17.0 32.0 0.0 2.7 19.7 26.7 40.9 #> 84 84 0.0 0.5 17.0 32.0 0.0 2.7 19.7 26.7 40.9 #> 85 85 0.0 0.0 8.3 24.9 0.0 0.0 10.7 14.6 33.3 #> 86 86 0.0 0.0 8.3 24.9 0.0 0.0 10.7 14.6 33.3 #> 87 87 0.0 0.0 8.3 24.9 0.0 0.0 10.7 14.6 33.3 #> 88 88 0.0 0.0 8.3 24.9 0.0 0.0 10.7 14.6 33.3 #> 89 89 0.0 0.0 8.3 24.9 0.0 0.0 10.7 14.6 33.3 #> 90 90 0.0 0.0 3.9 9.9 0.0 0.0 5.1 6.6 12.3 #> 91 91 0.0 0.0 3.9 9.9 0.0 0.0 5.1 6.6 12.3 #> 92 92 0.0 0.0 3.9 9.9 0.0 0.0 5.1 6.6 12.3 #> 93 93 0.0 0.0 3.9 9.9 0.0 0.0 5.1 6.6 12.3 #> 94 94 0.0 0.0 3.9 9.9 0.0 0.0 5.1 6.6 12.3 #> 95 95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 96 96 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 97 97 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 98 98 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 99 99 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> [ reached getOption("max.print") -- omitted 1 row ]# Given a specific PPI score (from 0 - 100), get the row of poverty # probabilities from PPI table it corresponds to ppiScore <- 50 ppiBGD2013[ppiBGD2013$score == ppiScore, ]#> score nl nu100 nu150 nu200 extreme ppp125 ppp175 ppp200 ppp250 #> 50 50 3.9 14.7 55 81.3 4.5 24.2 60.3 74.2 87.9# Use subset() function to get the row of poverty probabilities corresponding # to specific PPI score ppiScore <- 50 subset(ppiBGD2013, score == ppiScore)#> score nl nu100 nu150 nu200 extreme ppp125 ppp175 ppp200 ppp250 #> 50 50 3.9 14.7 55 81.3 4.5 24.2 60.3 74.2 87.9# Given a specific PPI score (from 0 - 100), get a poverty probability # based on a specific poverty definition. In this example, the USAID # extreme poverty definition ppiScore <- 50 ppiBGD2013[ppiBGD2013$score == ppiScore, "extreme"]#> [1] 4.5