| ppiTZA2022 {ppitables} | R Documentation |
Poverty Probability Index (PPI) lookup table for Tanzania 2022
Description
Poverty Probability Index (PPI) lookup table for Tanzania 2022
Usage
ppiTZA2022
Format
A data frame with 21 columns and 100 rows:
scorePPI score
nl_upperNational upper poverty line
nl_lowerNational lower poverty line
extremeExtreme poverty line
nl150National poverty line (150%)
nl200National poverty line (200%)
ppp100Below $1.00 per day purchasing power parity (2011)
ppp190Below $1.90 per day purchasing power parity (2011)
ppp320Below $3.20 per day purchasing power parity (2011)
ppp550Below $5.50 per day purchasing power parity (2011)
ppp800Below $8.00 per day purchasing power parity (2011)
ppp1100Below $11.00 per day purchasing power parity (2011)
ppp1500Below $15.00 per day purchasing power parity (2011)
ppp2170Below $21.70 per day purchasing power parity (2011)
ppp125Below $1.25 per day purchasing power parity (2005)
ppp250Below $2.50 per day purchasing power parity (2005)
ppp500Below $5.00 per day purchasing power parity (2005)
percentile20Below 20th percentile poverty line
percentile40Below 40th percentile poverty line
percentile60Below 50th percentile poverty line
percentile80Below 60th percentile poverty line
Source
Examples
# Access Tanzania PPI table
ppiTZA2022
# Given a specific PPI score (from 0 - 100), get the row of poverty
# probabilities from PPI table it corresponds to
ppiScore <- 50
ppiTZA2022[ppiTZA2022$score == ppiScore, ]
# Use subset() function to get the row of poverty probabilities corresponding
# to specific PPI score
ppiScore <- 50
subset(ppiTZA2022, 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
ppiTZA2022[ppiTZA2022$score == ppiScore, "extreme"]