Inter-country comparisons of aggregate statistics for 73 countries derived from the International Telecommunications Union [ 62] are shown in Figure 1, below and in additional File 1: Spreadsheet.xls of summary statistics of GDP per capita and mobile subscriptions per capita for various countries.
(, then select Personal income and population summary estimates (CA1-3) pers per capita personal income plus Metropolitan Statistical Areas* Employer Costs for Employee Compensation – June 2002.
We scored and ranked countries based on three summary opportunity metrics: DALYs per capita across the diseases, a composite score of tertile rankings of burden for each disease, and a score combining burden and intervention opportunity.
By far the most visible official summary measure of individual economic well-being is per capita gross domestic product — the annual market value of a country's final goods and services divided by its population.
In summary the payment-method reforms involve: Introducing capitation (per capita payment) to replace DRG for service & FFS for medicines at the primary care level, retaining DRG for Services & Fee for service (FFS) for medicines at Specialist OPD clinics, Hospital referrals and inpatients (district, regional, specialist and teaching hospitals).
Tables 9 and 10 report the presence of both short-run and long-run equilibrium relationship between innovation and per capita economic growth, while Tables 11, 12, and 13 report the summary of short-run Granger causal nexus between these two sets of variables (GDP vs. PAR; GDP vs. PAN; GDP vs. RDE; GDP vs. RRD; GDP vs. THE; and GDP vs. STJ).
In summary, our results clearly do not reject steepening in per capita health care expenditures over time for the 50+ age group, with the exception of 0-year-olds.
GDP per capita does not fully account for all these influences but provides a useful summary variable for the general health of the economy that is available universally and consistently available for most countries unlike, for example, unemployment and poverty rates where local definitions and conventions vary widely.
It is a summary index of 17 economical variables that include, for example, income per capita, electric consumption, taxes and number of vehicles per capita, among others.
Using these methods, country-level summary measures were also estimated and reported graphically in order of ascending per capita gross domestic product (GDP) (expressed in purchasing power parity 2005 international dollars [I$]) (17).
Over this period, inequality increased substantially, irrespective of the measure employed, but with upward and downward movements.10 Figure 6 presents a summary of this evolution by depicting the Gini coefficient for the distribution of household per capita income in the Greater Buenos Aires area (GBA) for years of relative stability.
