This is a summary (with confidence estimates for each country-year_ of the Standardized World Income Inequality Database (Solt 2009, 2016), version 5.0. The original data is available at http://fsolt.org/swiid/

swiid_summary_5

Format

An object of class tbl_df (inherits from tbl, data.frame) with 13090 rows and 19 columns.

Variable descriptions

country_name
Standardized country name. This is the same across all datasets in this package, so you can always join them by country_name and year. Character with 167 distinct values. Most common: New Zealand (184), Singapore (186), United Kingdom (184). NAs = 0.

GWn
Gleditsch-Ward numeric country code. See Gleditsch and Ward (1999). Numeric. Max = 950, min = 2, distinct = 167, mean = 415.435, sd = 250.843, NAs = 0.

year
Year. Numeric. Max = 2013, min = 1960, distinct = 54, mean = 1993.976, sd = 12.43, NAs = 0.

variable
The type of estimate. There are four types: Market gini (before taxes and transfers), net gini (after taxes and transfers), relative redistribution, and absolute redistribution. Factor with 4 levels. Most common: gini_net (4551), gini_market (4549), rel_red (1995), abs_red (1995). NAs = 0.

mean_value
The average value of the estimate. (The original dataset provides 500 different values using multiple imputation - see Solt for details). Numeric. Max = 72.85, min = -11.13, distinct = 13090, mean = 32.789, sd = 15.856, NAs = 0.

se
The standard error of the mean. Numeric. Max = 23.161, min = 0.057, distinct = 13090, mean = 2.071, sd = 1.744, NAs = 0.

pct025
Lower bound of the 95% confidence interval. Numeric. Max = 68.164, min = -45.875, distinct = 13090, mean = 28.73, sd = 16.333, NAs = 0.

pct975
Upper bound of the 95% confidence interval. Numeric. Max = 102.297, min = -0.265, distinct = 13090, mean = 36.849, sd = 16.106, NAs = 0.

swiid_country
Country name in the original dataset. Factor with 174 levels. Most common: Australia (182), New Zealand (184), Norway (182), Singapore (186), Sweden (182), United Kingdom (184), United States (182). NAs = 0.

GWc
Gleditsch-Ward alphabetic country code. See Gleditsch and Ward (1999). Character with 167 distinct values. Most common: NEW (184), SIN (186), UKG (184). NAs = 0.

cown
Correlates of War numeric country code. Differs from GWn for a few country-years. See Gleditsch and Ward (1999). Numeric. Max = 950, min = 2, distinct = 167, mean = 415.479, sd = 250.857, NAs = 0.

region
Region. Character with 20 distinct values. Most common: Eastern Europe (1262), Northern Europe (1466), South America (1166). NAs = 0.

continent
Continent. Character with 5 distinct values. Most common: Americas (2610), Asia (3248), Europe (4926). NAs = 0.

GW_startdate
Date at which the state entered the system of states according to Gleditsch and Ward, or NA if it has never been a member. Other.

GW_enddate
Date at which the state ceased to be a member of the system of states according to Gleditsch and Ward, or NA if it still exists. Other.

microstate
Indicator of whether the state is a microstate, according to Gleditsch's list of microstates. Logical. TRUE = 56, FALSE = 13034, NAs = 0.

lat
Latitude. Numeric. Max = 64.963, min = -40.901, distinct = 167, mean = 25.859, sd = 27.2, NAs = 0.

lon
Longitude. Numeric. Max = 178.065, min = -106.347, distinct = 167, mean = 19.398, sd = 64.105, NAs = 0.

in_system
Whether the country-year is in the Gleditsch-Ward system of states. See Gleditsch and Ward (1999). Logical. TRUE = 12820, FALSE = 270, NAs = 0.

References

Solt, Frederick (2009). "Standardizing the World Income Inequality Database." Social Science Quarterly 90 (2): 231-42. http://fsolt.org/swiid/.

Solt, Frederick (2016). "The Standardized World Income Inequality Database." Social Science Quarterly, n/a-n/a. doi:10.1111/ssqu.12295.

See also

Other economic data: economic_data, population_data