Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Sri Lanka LK: GDP: % of GNI: Gross Savings data was reported at 34.826 % in 2017. This records an increase from the previous number of 33.739 % for 2016. Sri Lanka LK: GDP: % of GNI: Gross Savings data is updated yearly, averaging 23.876 % from Dec 1975 (Median) to 2017, with 43 observations. The data reached an all-time high of 34.826 % in 2017 and a record low of 3.418 % in 1976. Sri Lanka LK: GDP: % of GNI: Gross Savings data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sri Lanka – Table LK.World Bank: Gross Domestic Product: Share of GDP. Gross savings are calculated as gross national income less total consumption, plus net transfers.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average;
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Key information about Sri Lanka Real GDP Growth
The gross domestic product (GDP) in current prices in Nepal was forecast to continuously increase between 2024 and 2029 by in total 26.8 billion U.S. dollars (+61.37 percent). After the sixth consecutive increasing year, the GDP is estimated to reach 70.44 billion U.S. dollars and therefore a new peak in 2029. The gross domestic product at current prices is defined based upon the GDP in national currency converted to U.S. dollars using market exchange rates (yearly average). The GDP represents the total value of final goods and services produced during a year.Find more key insights for the gross domestic product (GDP) in current prices in countries like Bhutan, Sri Lanka, and Afghanistan.
FocusEconomics' economic data is provided by official state statistical reporting agencies as well as our global network of leading banks, think tanks and consultancies. Our datasets provide not only historical data, but also Consensus Forecasts and individual forecasts from the aformentioned global network of economic analysts. This includes the latest forecasts as well as historical forecasts going back to 2010. Our global network consists of over 1000 world-renowned economic analysts from which we calculate our Consensus Forecasts. In this specific dataset you will find economic data for Sri Lanka GDP.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Sri Lanka LK: GDP: USD: Gross National Income per Capita: Atlas Method data was reported at 3,840.000 USD in 2017. This records an increase from the previous number of 3,790.000 USD for 2016. Sri Lanka LK: GDP: USD: Gross National Income per Capita: Atlas Method data is updated yearly, averaging 460.000 USD from Dec 1963 (Median) to 2017, with 55 observations. The data reached an all-time high of 3,840.000 USD in 2017 and a record low of 140.000 USD in 1963. Sri Lanka LK: GDP: USD: Gross National Income per Capita: Atlas Method data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sri Lanka – Table LK.World Bank.WDI: Gross Domestic Product: Nominal. GNI per capita (formerly GNP per capita) is the gross national income, converted to U.S. dollars using the World Bank Atlas method, divided by the midyear population. GNI is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. GNI, calculated in national currency, is usually converted to U.S. dollars at official exchange rates for comparisons across economies, although an alternative rate is used when the official exchange rate is judged to diverge by an exceptionally large margin from the rate actually applied in international transactions. To smooth fluctuations in prices and exchange rates, a special Atlas method of conversion is used by the World Bank. This applies a conversion factor that averages the exchange rate for a given year and the two preceding years, adjusted for differences in rates of inflation between the country, and through 2000, the G-5 countries (France, Germany, Japan, the United Kingdom, and the United States). From 2001, these countries include the Euro area, Japan, the United Kingdom, and the United States.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted average;
For the past few years, Sri Lanka’s economy has been thriving. Gross domestic product is soaring, and despite the densely populated country being among the smallest in the Asia Pacific region, its GDP per capita is not – it has almost doubled over the past decade. Sri Lanka’s inflation rate has been through the wringer, however: From around seven percent in 2013 to a sudden slump to around two percent in 2015 with a rapid upturn and peak at 6.5 percent in 2017 again. The slump in 2015 is mainly due to the country amassing national debt, which is soaring just as much as GDP. Sri Lanka has been spending so much money on developing its infrastructure, it needed help from the International Monetary Fund.
Bailed out
The International Monetary Fund does not just bail a country out frivolously, although Sri Lanka is by far not the only one requesting financial aid. Other countries have turned to the IMF for help in the past, the most famous example of asking for a bailout is Greece, which still struggles with the consequences of economic turmoil, austerity, and debt years later. Bailout money comes with terms and conditions, since it is a temporary solution to facilitate resolving an economic crisis. Often, one of these conditions is that countries take matters into their own hands and do everything they can to avoid further crises and to help get themselves out of debt.
Maxing out the cards
Sri Lanka has been living above its means, but prognoses look promising. Inflation is expected to level off around five percent, as is government expenditure at around 20 percent of GDP. Debt is still rising, of course, but trade seems in good shape, as well, with exports increasing, lowering the trade deficit. All in all, it looks like investing in infrastructure may pay off after all.
The gross domestic product (GDP) in current prices in Pakistan increased by 37.1 billion U.S. dollars (+10.99 percent) in 2024. In total, the GDP amounted to 374.6 billion U.S. dollars in 2024. The gross domestic product at current prices is defined based upon the GDP in national currency converted to U.S. dollars using market exchange rates (yearly average). The GDP represents the total value of final goods and services produced during a year.Find more key insights for the gross domestic product (GDP) in current prices in countries like Bangladesh, India, and Sri Lanka.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Key information about Sri Lanka Household Debt: % of GDP
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Inflation Rate in Sri Lanka decreased to -4.20 percent in February from -4 percent in January of 2025. This dataset provides - Sri Lanka Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Key information about Sri Lanka Nominal GDP Growth
The budget balance in relation to the GDP in Bangladesh was forecast to continuously decrease between 2024 and 2029 by in total 0.6 percentage points. According to this forecast, in 2029, the budget balance will have decreased for the fourth consecutive year to -5.23 percent. The indicator describes the general government net lending/borrowing which is calculated as revenue minus total expenditure. The International Monetary Fund defines the general government expenditure as consisting of total expense and the net acquisition of nonfinancial assets. The general government revenue consists of the revenue from taxes, social contributions, grants receivable, and other revenue.Find more key insights for the budget balance in relation to the GDP in countries like Nepal, Pakistan, and Sri Lanka.
Time Use Surveys (TUS) are household-based surveys that measure and analyze time spent by women and men, girls and boys on different activities over a specified period. Unlike data from other surveys, time use results can be specific and comprehensive in revealing the details of a person's daily life. The results of the Time Use Survey enable one to identify what activities are performed, how they are performed and how long it takes to perform such activities. The Department of Census and Statistics (DCS) conducted the first Sri Lanka national survey on time use statistics in 2017. The primary objective of TUS is to measure the participation of men and women in paid and unpaid activities. Moreover, this report contains information on the time spent on unpaid care giving activities, voluntary work, and domestic service of the household members. This also provides information on time spent on learning, socializing, leisure activities and self-care activities of 10 years and above aged Sri Lankans. In this report, statistics were estimated under following three indicators. 1. Participation rate 2. The mean actor time spent on different activities 3. The mean population time spent on different activities
The TUS was conducted in the same households of the fourth quarter Labour Force Survey (LFS) sample in 2017. It was non-independent survey but administered an independent diary and a household module with fourth quarter LFS, 2017. All household members who were age 10 years and above in the sample were provided a diary to record activities done in every 15 minutes within a period of 24 hours (day). The TUS sample covered the household population aged 10 years and above - thus representing an estimated 17.87 million people. Classification of activities Reported activities were coded according to the International Classification of Activities for Time Use Statistics (ICATUS 2016). The ICATUS 2016 has nine broad categories, which aggregate into even broader categories. The categories are consistent with the System of National Accounts (SNA) which underlies the calculation of gross domestic product (GDP). The categories are as follows: 1. Employment and related activities 2. Production of goods for own final use 3. Unpaid domestic services for household and family members 4. Unpaid caregiving services for household and family members 5. Unpaid volunteer, trainee and other unpaid work 6. Learning 7.Socializing and communication, community participation and religious practice 8. Culture, leisure, mass-media and sports practices 9. Self-care and maintenance Activity category number 1 and 2 falls in to SNA production boundary. Therefore, most part be 'counted' in national accounts and the GDP. Activity categories 3 to 5, which cover unpaid household work and unpaid assistance to other households, fall outside the SNA production boundary, although they are recognized as 'productive'. They correspond to what is commonly referred to as unpaid care work. The remaining four activity categories cannot be performed for a person by someone else; people cannot hire someone else to sleep, learn, or eat for them. Hence, they do not qualify as' work 'or' production' in terms of the third-person 'rule'.
The survey collects data from a quarterly sample of 6,440 housing units covering the whole country, also this sample enough to provides national estimates on Time use statistics. It covers persons living in housing units and excludes the institutional population.
Individual,Household
All household members who were age 10 years and above
Sample survey data [ssd]
The sampling frame prepared for 2012 Census of Population and Housing (CPH) is used as sample frame for the sample selection of LFS in 2017. Two stage stratified sampling procedure is adopted to Sri Lanka Time Use Survey Final Report - 2017 1.5 Field Work Select the annual LFS sample of 25,750 housing units. 2,575 Primary Sampling Units (PSU?s) were allocated to each district and to each sector (Urban, Rural and Estate) and equally distributed for 12 months. Housing units are the Secondary Sample Units (SSU). From each selected PSU, 10 housing units (SSU) are selected for the survey using systematic random sampling method. Since, the Time Use survey was planned to disseminate statistics at national level, a quarterly sample of 6,440 housing units of the LFS 4th quarter 2017 sample was selected for the TUS. Also, selected housing units of a PSU were evenly allocated to cover all 7 days of a week including weekends. Sample allocation by sector for TUS - 2017
Number of housing units Sri Lanka6,440 Urban1,000 Rural5,140 Estate300
Face-to-face [f2f]
The Survey was conducted in the same households of the fourth quarter Labour Force Survey (LFS) sample in 2017. It was non-independent survey but consists with other two data collection instruments in PAPI method: a) A household questionnaire b) A time diary with fourth quarter LFS 2017 questionnaire in CAPI method. The household questionnaire was designed only for obtain information on the characteristics of the household. Because the LFS questionnaire collects background information about the demographic and socio-economic characteristics of the respondent, such as their labour force status. All household members who were age 10 years and above in the sample were provided a diary to record activities done in every 15 minutes within a period of 24 hours (day). It captures information on spending the time for main activity, simultaneous activity, where the activity takes place and with whom the activity takes place.
The International Classification of Activities for Time Use Statistics (ICATUS 2016) has been developed based on internationally agreed concepts, definitions and principles in order to improve the consistency and international comparability of time use and other social and economic statistics. Reliable time use statistics have been critical for
(a) the measurement and analysis of quality of life or general well-being; (b) a more comprehensive measurement of all forms of work, including unpaid work and non-market production and the development of household production accounts; and (c) producing data for gender analysis for public policies. Hence, the importance of ICATUS link and consistency with the System of National Accounts (SNA) and the International Conference of Labour Statisticians (ICLS) definition and framework for statistics of work. Additionally, ICATUS will serve as an important input for monitoring progress made towards the achievement of the Sustainable Development Goals (SDGs). ICATUS 2016 is a three-level hierarchical classification (composed of major divisions, divisions, and groups) of all possible activities undertaken by the general population during the 24 hours in a day. 1) The first level, one-digit code or "major division" represents the least detailed level or the broadest group of activities. 2) The second level, two-digit code or "division" represents more detailed activities than the preceding one 3) The third level, three-digit code or "group" is considered the most detailed level of the classification detailing specific activities. The purpose of the classification is to provide a framework that can be used to produce meaningful and comparable statistics on time use across countries and over time.
An important aspect of the UN classification system is the fact that it matches the System of National Accounts (SNA), which forms the basis internationally for calculating gross domestic product (GDP). The classification is organized according to nine broad activity categories. These categories can be distinguished by the first digit of the three-digit activity code The nine broad categories are as follows: SNA Production Activities 1. Employment and related activities 2. Production of goods for own final use
Non -SNA Production Activities 3. Unpaid domestic services for household and family members 4. Unpaid caregiving services for household and family members 5. Unpaid volunteer, trainee and other unpaid work
Non-Productive Activities 6. Learning 7. Socializing and communication, community participation and religious practice 8. Culture, leisure, mass-media and sports practices 9. Self-care and maintenance
Activity categories 1-2, which are the two 'work' divisions referred to above, fall in the SNA production boundary. They would thus be 'counted' in national accounts and the GDP. The only exceptions are the codes for looking for work, and time spent on travelling related to SNA-type activity. Activity categories 3-5, which cover unpaid household work and care work for household and family members and assistance to other households, fall outside the SNA general production boundary, although they are recognized as 'productive'. In this report they are referred to as non-SNA production Activities. The remaining activity categories are not covered by the SNA. These activities cannot be performed for a person by someone else - people cannot hire someone else to sleep, learn, or eat for them. They thus do not qualify as'work 'or 'production' terms of the „third-person rule. In this report they are referred to as non-productive activities. Many of the tables in the report are organized according to either the nine categories, or the three SNA-related groupings of these categories.
Please refer page number 11 and 12 of annual report for
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Key information about Sri Lanka Government Debt: % of GDP
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Key information about Sri Lanka External Debt: Short Term: % of GDP
At 8.07 U.S. dollars, Switzerland has the most expensive Big Macs in the world, according to the July 2024 Big Mac index. Concurrently, the cost of a Big Mac was 5.69 dollars in the U.S., and 6.06 U.S. dollars in the Euro area. What is the Big Mac index? The Big Mac index, published by The Economist, is a novel way of measuring whether the market exchange rates for different countries’ currencies are overvalued or undervalued. It does this by measuring each currency against a common standard – the Big Mac hamburger sold by McDonald’s restaurants all over the world. Twice a year the Economist converts the average national price of a Big Mac into U.S. dollars using the exchange rate at that point in time. As a Big Mac is a completely standardized product across the world, the argument goes that it should have the same relative cost in every country. Differences in the cost of a Big Mac expressed as U.S. dollars therefore reflect differences in the purchasing power of each currency. Is the Big Mac index a good measure of purchasing power parity? Purchasing power parity (PPP) is the idea that items should cost the same in different countries, based on the exchange rate at that time. This relationship does not hold in practice. Factors like tax rates, wage regulations, whether components need to be imported, and the level of market competition all contribute to price variations between countries. The Big Mac index does measure this basic point – that one U.S. dollar can buy more in some countries than others. There are more accurate ways to measure differences in PPP though, which convert a larger range of products into their dollar price. Adjusting for PPP can have a massive effect on how we understand a country’s economy. The country with the largest GDP adjusted for PPP is China, but when looking at the unadjusted GDP of different countries, the U.S. has the largest economy.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Key information about Sri Lanka Consolidated Fiscal Balance: % of GDP
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Sri Lanka LK: GDP: Deflator: Linked Series data was reported at 142.660 2010=100 in 2017. This records an increase from the previous number of 131.795 2010=100 for 2016. Sri Lanka LK: GDP: Deflator: Linked Series data is updated yearly, averaging 49.638 2010=100 from Dec 1989 (Median) to 2017, with 29 observations. The data reached an all-time high of 142.660 2010=100 in 2017 and a record low of 14.228 2010=100 in 1989. Sri Lanka LK: GDP: Deflator: Linked Series data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sri Lanka – Table LK.World Bank: Gross Domestic Product: Nominal. The GDP implicit deflator is calculated as the ratio of GDP in current local currency to GDP in constant local currency. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. The base year varies by country.; ; World Bank staff estimates based on World Bank national accounts data archives, OECD National Accounts, and the IMF WEO database.; ;
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Key information about Sri Lanka GDP Deflator Growth
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Key information about Sri Lanka External Debt: % of GDP
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Sri Lanka LK: GDP: % of GNI: Gross Savings data was reported at 34.826 % in 2017. This records an increase from the previous number of 33.739 % for 2016. Sri Lanka LK: GDP: % of GNI: Gross Savings data is updated yearly, averaging 23.876 % from Dec 1975 (Median) to 2017, with 43 observations. The data reached an all-time high of 34.826 % in 2017 and a record low of 3.418 % in 1976. Sri Lanka LK: GDP: % of GNI: Gross Savings data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sri Lanka – Table LK.World Bank: Gross Domestic Product: Share of GDP. Gross savings are calculated as gross national income less total consumption, plus net transfers.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average;