Downloads (and caches) the Gini coefficient of disposable income for OECD member countries from the OECD Income Distribution Database (IDD).
Arguments
- countries
Character vector of ISO 3166-1 alpha-3 country codes, or
"all"for all available OECD members. Defaults to"all". Runlist_oecd_countries()to see available codes.- start_year
Numeric. Earliest year to include. Defaults to
1990.- refresh
Logical. If
TRUE, re-download even if a cached copy exists. Defaults toFALSE.
Value
A data frame with columns:
- country
ISO 3166-1 alpha-3 country code (character)
- country_name
English country name (character)
- year
Calendar year (integer)
- series
"GINI"(character)- value
Gini coefficient of disposable income (numeric)
- unit
"Gini coefficient (0-1)"(character)
Details
The Gini coefficient measures income inequality on a scale from 0 (perfect equality) to 1 (maximum inequality). Disposable income is household income after taxes and transfers. The series follows the OECD METH2012 methodology where available for consistency across countries and time.
See also
Other social indicators:
get_oecd_education(),
get_oecd_health()
Examples
# \donttest{
op <- options(readoecd.cache_dir = tempdir())
gini <- try(get_oecd_inequality(c("AUS", "GBR", "USA", "DNK"), start_year = 2000))
#> Downloading from OECD API...
if (!inherits(gini, "try-error")) head(gini)
#> country country_name year series value unit
#> 40 AUS Australia 2012 GINI 0.3260 Gini coefficient (0-1)
#> 41 AUS Australia 2014 GINI 0.3370 Gini coefficient (0-1)
#> 42 AUS Australia 2016 GINI 0.3300 Gini coefficient (0-1)
#> 43 AUS Australia 2018 GINI 0.3250 Gini coefficient (0-1)
#> 39 AUS Australia 2020 GINI 0.3190 Gini coefficient (0-1)
#> 2 DNK Denmark 2011 GINI 0.2505 Gini coefficient (0-1)
options(op)
# }