The latest version of the PPI for Mozambique was created in June 2024 by Innovations for Poverty Action (IPA) based on data from the 2022 Demographic and Health Survey (DHS).
Format
A data frame with 6 columns and 101 rows:
scorePPI score
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
Examples
# Access Mozambique PPI table
ppiMOZ2024
#> # A tibble: 101 × 6
#> score percentile20 percentile40 percentile50 percentile60 percentile80
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 0 88.7 98.0 99.5 99.9 100.
#> 2 1 86.2 97.3 99.3 99.9 100.
#> 3 2 83.3 96.4 99.2 99.9 100.
#> 4 3 80.0 95.3 99.0 99.9 100.
#> 5 4 76.2 93.7 98.7 99.9 100.
#> 6 5 72.0 91.8 98.3 99.8 100.
#> 7 6 67.3 89.2 97.9 99.8 100.
#> 8 7 62.2 86.0 97.4 99.7 100.
#> 9 8 56.8 82.1 96.7 99.7 100.
#> 10 9 51.3 77.3 95.9 99.6 100.
#> # ℹ 91 more rows
# Given a specific PPI score (from 0 - 100), get the row of poverty
# probabilities from PPI table it corresponds to
ppiScore <- 50
ppiMOZ2024[ppiMOZ2024$score == ppiScore, ]
#> # A tibble: 1 × 6
#> score percentile20 percentile40 percentile50 percentile60 percentile80
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 50 0.0114 0.00178 0.164 10.3 99.0
# Use subset() function to get the row of poverty probabilities
# corresponding to specific PPI score
ppiScore <- 50
subset(ppiMOZ2024, score == ppiScore)
#> # A tibble: 1 × 6
#> score percentile20 percentile40 percentile50 percentile60 percentile80
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 50 0.0114 0.00178 0.164 10.3 99.0
# Given a specific PPI score (from 0 - 100), get a poverty probability
# based on a specific poverty definition. In this example, the national
# poverty line is used
ppiScore <- 50
ppiMOZ2024[ppiMOZ2024$score == ppiScore, "percentile80"]
#> # A tibble: 1 × 1
#> percentile80
#> <dbl>
#> 1 99.0