| ppiECU2022 | R Documentation |
Poverty Probability Index (PPI) lookup table for Ecuador for 2022
ppiECU2022
A data frame with 20 columns and 101 rows:
scorePPI score
nl100National poverty line (100%)
nl_extremeNational poverty line (extreme)
nl150National poverty line (150%)
nl200National poverty line (200%)
ppp215Below $2.15 per day purchasing power parity (2017)
ppp365Below $3.65 per day purchasing power parity (2017)
ppp685Below $6.85 per day purchasing power parity (2017)
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 $21.70 per day purchasing power parity (2011)
percentile20Below 20th percentile poverty line
percentile40Below 40th percentile poverty line
percentile60Below 60th percentile poverty line
percentile80Below 80th percentile poverty line
# Access Ecuador PPI table
ppiECU2015
# Given a specific PPI score (from 0 - 100), get the row of poverty
# probabilities from PPI table it corresponds to
ppiScore <- 50
ppiECU2015[ppiECU2015$score == ppiScore, ]
# Use subset() function to get the row of poverty probabilities corresponding
# to specific PPI score
ppiScore <- 50
subset(ppiECU2015, score == ppiScore)
# 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 definition
ppiScore <- 50
ppiECU2015[ppiECU2015$score == ppiScore, "nl100"]
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.