Poverty Probability Index (PPI) lookup table for Bangladesh
Format
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)
Examples
# 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
#> 100 100 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
# 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