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This is the map and list of Asian countries by monthly average wage (annual divided by 12 months) gross and net income (after taxes) average wages for full-time employees in their local currency and in US Dollar. The chart below reflects the average (mean) wage as reported by various data providers.
The gross average monthly wage estimates for 2023 are computed by converting national currency figures from the United Nations Economic Commission for Europe (UNECE) Statistical Database, compiled from national and international (the CIS, Eurostat, the OECD) official sources. Wages in U.S. dollars are computed by the UNECE Secretariat using ...
The salary distribution is right-skewed, therefore more than 50% of people earn less than the average net salary. These figures have been shrunk after the application of the income tax . In certain countries, actual incomes may exceed those listed in the table due to the existence of grey economies .
Services accounted for 58.2% of Sri Lanka's economy in 2019 up from 54.6% in 2010, industry 27.4% up from 26.4% a decade earlier and agriculture 7.4%. [41] Though there is a competitive export agricultural sector, technological advances have been slow to enter the protected domestic sector. [42]
Reuters reported last week that the World Bank is likely to approve $700 million in budgetary and welfare support for Sri Lanka at its board meeting on June 28, out of which $200 million will be ...
Head of state annual salary (USD from 2019 IMF exchange rate) Head of government annual salary ... Sri Lanka: 7,380 USD 5,600 USD (Prime Minister) [154] ...
UBS publishes various statistics relevant for calculating net wealth. These figures are influenced by real estate prices, equity market prices, exchange rates, liabilities, debts, adult percentage of the population, human resources, natural resources and capital and technological advancements, which may create new assets or render others worthless in the future.
A country's gross domestic product (GDP) at purchasing power parity (PPP) per capita is the PPP value of all final goods and services produced within an economy in a given year, divided by the average (or mid-year) population for the same year.