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:
score
PPI score
nl_upper
National upper poverty line
nl_lower
National lower poverty line
extreme
Extreme poverty line
nl150
National poverty line (150%)
nl200
National poverty line (200%)
ppp100
Below $1.00 per day purchasing power parity (2011)
ppp190
Below $1.90 per day purchasing power parity (2011)
ppp320
Below $3.20 per day purchasing power parity (2011)
ppp550
Below $5.50 per day purchasing power parity (2011)
ppp800
Below $8.00 per day purchasing power parity (2011)
ppp1100
Below $11.00 per day purchasing power parity (2011)
ppp1500
Below $15.00 per day purchasing power parity (2011)
ppp2170
Below $21.70 per day purchasing power parity (2011)
ppp125
Below $1.25 per day purchasing power parity (2005)
ppp250
Below $2.50 per day purchasing power parity (2005)
ppp500
Below $5.00 per day purchasing power parity (2005)
percentile20
Below 20th percentile poverty line
percentile40
Below 40th percentile poverty line
percentile60
Below 50th percentile poverty line
percentile80
Below 60th percentile poverty line
Source
Examples
# Access Tanzania PPI table
ppiTZA2022
# Given a specific PPI score (from 0 - 100), get the row of poverty
# probabilities from PPI table it corresponds to
ppiScore <- 50
ppiTZA2022[ppiTZA2022$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"]