This data set contains the mean annual exposure levels to ambient PM2.5 air pollution across various countries, measured in micrograms per cubic meter.
Format
A data frame with 13,910 observations with 13 variables
- country
Country name (character)
- iso2c
2-letter ISO country code (character)
- iso3c
3-letter ISO country code (character)
- year
Calendar year representing the time index of the observation (integer)
- EN.ATM.PM25.MC.M3
Observational values for the specified indicator code (numeric)
- status
An empty variable meant to indicate the operational status of variables (character)
- lastupdated
Timestamp that indicates the most recent update of the indicator date (character)
- region
Geographical region variable (character)
- capital
Name of the capital city of each country (character)
- longitude
Geographic coordinate that measures the longitude of the city (character)
- latitude
Geographic coordinate that measures the latitude of the city (character)
- income
World Bank income classification variable (character)
- lending
World Bank income classification variable (character)
Examples
data(pm_data)
head(pm_data)
#> country iso2c iso3c year EN.ATM.PM25.MC.M3 status lastupdated region
#> 1 Afghanistan AF AFG 2013 73.13182 2025-07-01 South Asia
#> 2 Afghanistan AF AFG 2012 70.92232 2025-07-01 South Asia
#> 3 Afghanistan AF AFG 2014 77.14373 2025-07-01 South Asia
#> 4 Afghanistan AF AFG 2009 51.00144 2025-07-01 South Asia
#> 5 Afghanistan AF AFG 2008 54.19114 2025-07-01 South Asia
#> 6 Afghanistan AF AFG 2007 58.08379 2025-07-01 South Asia
#> capital longitude latitude income lending
#> 1 Kabul 69.1761 34.5228 Low income IDA
#> 2 Kabul 69.1761 34.5228 Low income IDA
#> 3 Kabul 69.1761 34.5228 Low income IDA
#> 4 Kabul 69.1761 34.5228 Low income IDA
#> 5 Kabul 69.1761 34.5228 Low income IDA
#> 6 Kabul 69.1761 34.5228 Low income IDA