| ppiIDN2023 | R Documentation |
Poverty Probability Index (PPI) lookup table for Indonesia for 2023
ppiIDN2023
A data frame with 10 columns and 101 rows:
scorePPI score
nl100National poverty line (100%)
ppp365Below $3.65 per day purchasing power parity (2017)
ppp685Below $6.85 per day purchasing power parity (2017)
ppp320Below $3.20 per day purchasing power parity (2011)
ppp550Below $5.50 per day purchasing power parity (2011)
percentile20Below 20th percentile poverty line
percentile40Below 40th percentile poverty line
percentile60Below 50th percentile poverty line
percentile80Below 60th percentile poverty line
# Access Indonesia PPI table
ppiIDN2023
# Given a specific PPI score (from 0 - 100), get the row of poverty
# probabilities from PPI table it corresponds to
ppiScore <- 50
ppiIDN2023[ppiIDN2023$score == ppiScore, ]
# Use subset() function to get the row of poverty probabilities corresponding
# to specific PPI score
ppiScore <- 50
subset(ppiIDN2023, score == ppiScore)
# 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
ppiIDN2023[ppiIDN2023$score == ppiScore, "nl100"]
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