ppiTZA2022 | R Documentation |
Poverty Probability Index (PPI) lookup table for Tanzania 2022
ppiTZA2022
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 $5.00 per day purchasing power parity (2005)
percentile20
Below 20th percentile poverty line
percentile40
Below 40th percentile poverty line
percentile60
Below 50th percentile poverty line
percentile80
Below 60th percentile poverty line
# Access Tanzania PPI table
ppiTZA2022
# Given a specific PPI score (from 0 - 100), get the row of poverty
# probabilities from PPI table it corresponds to
ppiScore <- 50
ppiTZA2022[ppiTZA2022$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"]
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