A dataset extending Gleditsch's population of independent states list (available at http://privatewww.essex.ac.uk/~ksg/data/exppop.txt) with the World Development Indicators "SP.POP.TOTL" variable and the World Population data assembled by Max Roser (at http://ourworldindata.org/data/population-growth-vital-statistics/world-population-growth/).

population_data

Format

An object of class tbl_df (inherits from tbl, data.frame) with 20165 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 224 distinct values. Most common: Andorra (199), Argentina (199), China (199), Denmark (199), France (199), Iran (Persia) (199), Italy/Sardinia (199), Japan (199), Liechtenstein (199), Monaco (199), Nepal (199), Netherlands (199), Oman (199), Paraguay (199), Portugal (199), Russia (Soviet Union) (199), San Marino (199), Spain (199), Sweden (199), Switzerland (199), Thailand (199), Turkey (Ottoman Empire) (199), United Kingdom (199), United States of America (199). NAs = 0.

GWn
Gleditsch-Ward numeric country code. See Gleditsch and Ward (1999). Numeric. Max = 990, min = 2, distinct = 224, mean = 410.741, sd = 258.788, NAs = 0.

GWc
Gleditsch-Ward alphabetic country code. See Gleditsch and Ward (1999). Character with 224 distinct values. Most common: AND (199), ARG (199), CHN (199), DEN (199), FRN (199), IRN (199), ITA (199), JPN (199), LIE (199), MNC (199), NEP (199), NTH (199), OMA (199), PAR (199), POR (199), RUS (199), SNM (199), SPN (199), SWD (199), SWZ (199), THI (199), TUR (199), UKG (199), USA (199). NAs = 0.

year
Year. Numeric. Max = 2014, min = 1816, distinct = 199, mean = 1942.609, sd = 56.87, NAs = 0.

pop
Population. Numeric. Max = 1364270000, min = 320, distinct = 15578, mean = 22167792.194, sd = 85273337.885, NAs = 0.

source
Source: either the World Development Indicators, or Gleditsch's list of population for independent states (which in turn gives a further source). Character with 6 distinct values. Most common: Gleditsch: 0 Estimate from COW nation... (12971), Gleditsch: 3 Extrapolated values, bas... (1558), World Development Indicators (3436). NAs = 0.

world_pop
World population, from Ortiz-Ospina and Roser 2016, who in turn cite Kremer 1993 and the UN population division. Numeric. Max = 7265785946, min = 1262682074, distinct = 72, mean = 4781070998.929, sd = 1456572974.297, NAs = 8072.

world_pop_interp
World population, interpolated with splines, Ortiz-Ospina and Roser 2016. Numeric. Max = 7265785946, min = 1061729942, distinct = 199, mean = 3503787372.408, sd = 1944080746.446, NAs = 0.

prop
Proportion of the world's population accounted for by the country-year. Numeric. Max = 0.348, min = 0, distinct = 20100, mean = 0.008, sd = 0.028, NAs = 0.

cown
Correlates of War numeric country code. Differs from GWn for a few country-years. See Gleditsch and Ward (1999). Numeric. Max = 990, min = 2, distinct = 231, mean = 410.302, sd = 258.229, NAs = 0.

region
Region. Character with 23 distinct values. Most common: South America (2030), Southern Europe (2092), Western Europe (2111). NAs = 0.

continent
Continent. Character with 5 distinct values. Most common: Americas (4645), Asia (4444), Europe (6493). 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. Date. Max = 2011-07-09, min = 1816-01-01, distinct = 170, NAs = 0.

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. Date. Max = 2016-04-15, min = 1830-07-05, distinct = 30, NAs = 0.

microstate
Indicator of whether the state is a microstate, according to Gleditsch's list of microstates. Logical. TRUE = 1713, FALSE = 18452, NAs = 0.

lat
Latitude. Numeric. Max = 64.963, min = -40.901, distinct = 219, mean = 22.301, sd = 25.257, NAs = 0.

lon
Longitude. Numeric. Max = 178.68, min = -175.198, distinct = 219, mean = 9.683, sd = 66.963, NAs = 0.

in_cow
Whether the country-year is in the Correlates of War system of states. Logical. TRUE = 15864, FALSE = 4301, NAs = 0.

in_system
Whether the country-year is in the Gleditsch-Ward system of states. See Gleditsch and Ward (1999). Logical. TRUE = 18646, FALSE = 1519, NAs = 0.

References

Gleditsch, Kristian (2010). Expanded population data. Version 1.0, posted 13 May 2010

Kremer, Martin (1993) "Population Growth and Technological Change: One Million B.C. to 1990", Quarterly Journal of Economics., August 1993, pp.681-716.

Ortiz-Ospina, Esteban and Max Roser (2016) "World Population Growth". Published online at OurWorldInData.org. Retrieved from: http://ourworldindata.org/data/population-growth-vital-statistics/world-population-growth/ [Online Resource]

See also

Other economic data: economic_data, swiid_summary_5