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Tourist Arrivals in Sri Lanka decreased to 158971 in September from 198235 in August of 2025. This dataset provides - Sri Lanka Tourist Arrivals - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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Key information about Sri Lanka Visitor Arrivals
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Tourism Revenues in Sri Lanka increased to 186.10 USD Million in October from 182.90 USD Million in September of 2025. This dataset provides - Sri Lanka Tourism Revenues- actual values, historical data, forecast, chart, statistics, economic calendar and news.
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Sri Lanka Tourism Contribution: GDP data was reported at 2.500 % in 2023. This records an increase from the previous number of 0.800 % for 2020. Sri Lanka Tourism Contribution: GDP data is updated yearly, averaging 3.400 % from Dec 2018 (Median) to 2023, with 4 observations. The data reached an all-time high of 4.900 % in 2018 and a record low of 0.800 % in 2020. Sri Lanka Tourism Contribution: GDP data remains active status in CEIC and is reported by Sri Lanka Tourism Development Authority. The data is categorized under Global Database’s Sri Lanka – Table LK.Q007: Tourism Receipts.
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Key information about Sri Lanka Tourism Revenue Growth
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Actual value and historical data chart for Sri Lanka International Tourism Number Of Arrivals
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International tourism, number of departures in Sri Lanka was reported at 305000 in 2020, according to the World Bank collection of development indicators, compiled from officially recognized sources. Sri Lanka - International tourism, number of departures - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.
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Key information about Sri Lanka Visitor Arrivals
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TwitterThe number of international tourist arrivals in Sri Lanka was forecast to continuously increase between 2024 and 2029 by in total *** million arrivals (+***** percent). The arrivals is estimated to amount to **** million arrivals in 2029. Depicted is the number of inbound international tourists. According to World Bank this refers to tourists travelling to a country which is not their usual residence, whereby the main purpose is not work related and the planned visitation period does not exceed 12 months. The forecast has been adjusted for the expected impact of COVID-19.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than *** countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).Find more key insights for the number of international tourist arrivals in countries like India and Nepal.
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Comprehensive dataset containing 452 verified Tourist information center businesses in Sri Lanka with complete contact information, ratings, reviews, and location data.
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Sri Lanka LK: International Tourism: Expenditures: for Passenger Transport Items data was reported at 753.000 USD mn in 2016. This records an increase from the previous number of 732.000 USD mn for 2015. Sri Lanka LK: International Tourism: Expenditures: for Passenger Transport Items data is updated yearly, averaging 265.500 USD mn from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 753.000 USD mn in 2016 and a record low of 91.000 USD mn in 1996. Sri Lanka LK: International Tourism: Expenditures: for Passenger Transport Items 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: Tourism Statistics. International tourism expenditures for passenger transport items are expenditures of international outbound visitors in other countries for all services provided during international transportation by nonresident carriers. Also included are passenger services performed within an economy by nonresident carriers. Excluded are passenger services provided to nonresidents by resident carriers within the resident economies; these are included in travel items. In addition to the services covered by passenger fares--including fares that are a part of package tours but excluding cruise fares, which are included in travel--passenger services include such items as charges for excess baggage, vehicles, or other personal accompanying effects and expenditures for food, drink, or other items for which passengers make expenditures while on board carriers. Data are in current U.S. dollars.; ; World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.; Gap-filled total;
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Sri Lanka Visitor Arrivals: Asia: East: North: Japan data was reported at 2,831.000 Person in Oct 2018. This records a decrease from the previous number of 4,480.000 Person for Sep 2018. Sri Lanka Visitor Arrivals: Asia: East: North: Japan data is updated monthly, averaging 1,384.500 Person from Jan 1987 (Median) to Oct 2018, with 382 observations. The data reached an all-time high of 5,625.000 Person in Aug 2018 and a record low of 342.000 Person in May 1987. Sri Lanka Visitor Arrivals: Asia: East: North: Japan data remains active status in CEIC and is reported by Sri Lanka Tourism Development Authority. The data is categorized under Global Database’s Sri Lanka – Table LK.Q001: Visitor Arrivals.
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Comprehensive dataset containing 5,398 verified Tourist attraction businesses in Sri Lanka with complete contact information, ratings, reviews, and location data.
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Sri Lanka Tourist Price Index data was reported at 7,258.000 1973-1974=100 in 2016. This records an increase from the previous number of 7,121.000 1973-1974=100 for 2015. Sri Lanka Tourist Price Index data is updated yearly, averaging 1,572.000 1973-1974=100 from Dec 1974 (Median) to 2016, with 43 observations. The data reached an all-time high of 7,258.000 1973-1974=100 in 2016 and a record low of 107.000 1973-1974=100 in 1974. Sri Lanka Tourist Price Index data remains active status in CEIC and is reported by Sri Lanka Tourism Development Authority. The data is categorized under Global Database’s Sri Lanka – Table LK.Q005: Tourist Price Index.
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Sri Lanka Hotel Nights of Stay: Local Guest: Greater Colombo data was reported at 21,596.000 Unit in Dec 2016. This records an increase from the previous number of 15,127.000 Unit for Nov 2016. Sri Lanka Hotel Nights of Stay: Local Guest: Greater Colombo data is updated monthly, averaging 11,983.500 Unit from Jan 1991 (Median) to Dec 2016, with 312 observations. The data reached an all-time high of 54,784.000 Unit in Nov 2011 and a record low of 3,446.000 Unit in Mar 1993. Sri Lanka Hotel Nights of Stay: Local Guest: Greater Colombo data remains active status in CEIC and is reported by Sri Lanka Tourism Development Authority. The data is categorized under Global Database’s Sri Lanka – Table LK.Q007: Average Length of Stay.
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TwitterThe Management Practices Survey was conducted in Sri Lanka by the World Bank between June and November 2011. The survey was administered to a representative sample of firms in the non-agricultural formal private economy. Data from 836 establishments in services, manufacturing, ICT manufacturing and services, hospitality and health sectors was analyzed.
The objective of the survey was to obtain feedback from enterprises on the state of the private sector in Sri Lanka. The topics included infrastructure, sales and supplies, finance, regulations, business-government relations, corruption, informality, use of information and communications technology, labor, perceptions about obstacles to doing business, and operational practices in product and process innovation and management. Health care providers and tourism firms were also asked industry specific questions.
Three survey instruments were used in the research. Management Practices across Sectors Questionnaire was administered to manufacturing and services firms, Health Sector Questionnaire was used for private health providers, and hospitality firms were interviewed with the help of Tourism Sector Questionnaire.
This study was carried out simultaneously with Sri Lanka Enterprise Survey, also an initiative of the World Bank. The Management Practices Survey and Enterprise Surveys have similar sampling and implementation techniques, and for some topics - corresponding questions.
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The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.
The whole population, or universe of the study, is the non-agricultural economy. It comprises: all manufacturing sectors according to the group classification of ISIC Revision 3.1: (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities-sectors. The universe also included private health care providers.
Sample survey data [ssd]
The sample for Sri Lanka was selected using stratified random sampling. Three levels of stratification were used: industry, establishment size, and region.
For industry stratification, the universe was divided into three manufacturing sectors, two services industries, and two residual sectors. Each industry had a target of 120 interviews, while the residual sectors had a target of 100 interviews each.
Size stratification was defined the following way: small (5 to 19 employees), medium (20 to 99 employees), and large (more than 99 employees). For stratification purposes, the number of employees was defined on the basis of reported permanent full-time workers. Size stratification was not possible in the ICT manufacturing and services, health, and tourism sectors as the lists used did not contain size information.
Regional stratification was defined by nine regions: Eastern, Western, Southern, Central, Northern, North-Central, North-West, Uva, Sabaragamuwa.
Several sampling frames were used in the survey. The first sample frame was obtained from the Department of Census and Statistics (DCS) of Sri Lanka, the information was from 2003. Additional lists were used to supplement the DCS frame for the IT, health and tourism sectors. These lists were from: - ICT/Computer Association; - Federation of Information Technology Industry Sri Lanka; - Sri Lanka Association of Software and Service Companies; - Sri Lanka Tourism Promotion Bureau; - Local Chamber of Commerce/Trade Associations.
The quality of the frame was assessed at the onset of the project through calls to a random subset of firms, and local contractor knowledge. The sample frame was not immune from the typical problems found in establishment surveys: positive rates of non-eligibility, repetition, non-existent units, etc. Due to response rate and ineligibility issues, additional sample had to be extracted by Department of Census and Statistics of Sri Lanka and the World Bank in order to obtain enough eligible contacts and meet the sample targets.
Given the impact that non-eligible units included in the sample universe may have on the results, adjustments may be needed when computing the appropriate weights for individual observations. The percentage of confirmed non-eligible units as a proportion of the total number of sampled establishments contacted for the survey was 54% (860 out of 1593 establishments).
Breaking down by industry, the following numbers of establishments were surveyed: food - 121, light manufacturing - 125, ICT manufacturing and services - 106, other manufacturing - 116, private healthcare services - 120, tourism related services - 124, and other services - 124.
Face-to-face [f2f]
The following survey instruments are available: - Management Practices across Sectors Questionnaire; - Tourism Sector Questionnaire; - Health Sector Questionnaire; - Screener Questionnaire.
Management Practices across Sectors Questionnaire is a core questionnaire. It is based on the Enterprise Surveys questionnaire, but adds some specific questions relevant to management practices. Tourism Sector Questionnaire adds to the core specific questions relevant to the tourism industry. Similarly, Health Sector Questionnaire contains many of the core items from the first questionnaire, but is custom tailored to the technology and services present in the health sector.
Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments.
The number of contacted establishments per realized interview was 1.39. This number is the result of two factors: explicit refusals to participate in the survey, as reflected by the rate of rejection (which includes rejections of the screener and the main survey) and the quality of the sample frame, as represented by the presence of ineligible units. The number of rejections per contact was 0.287.
Item non-response was addressed by two strategies: a- For sensitive questions that may generate negative reactions from the respondent, such as corruption or tax evasion, enumerators were instructed to collect the refusal to respond as a different option from don’t know. b- Establishments with incomplete information were re-contacted in order to complete this information, whenever necessary.
Survey non-response was addressed by maximizing efforts to contact establishments that were initially selected for interview. Attempts were made to contact the establishment for interview at different times/days of the week before a replacement establishment (with similar strata characteristics) was suggested for interview. Survey non-response did occur but substitutions were made in order to potentially achieve strata-specific goals.
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Sri Lanka Tourist Price Index: Accommodation: Beaches data was reported at 9,145.000 1973-1974=100 in 2016. This records an increase from the previous number of 8,993.000 1973-1974=100 for 2015. Sri Lanka Tourist Price Index: Accommodation: Beaches data is updated yearly, averaging 1,842.000 1973-1974=100 from Dec 1974 (Median) to 2016, with 43 observations. The data reached an all-time high of 9,145.000 1973-1974=100 in 2016 and a record low of 119.000 1973-1974=100 in 1975. Sri Lanka Tourist Price Index: Accommodation: Beaches data remains active status in CEIC and is reported by Sri Lanka Tourism Development Authority. The data is categorized under Global Database’s Sri Lanka – Table LK.Q005: Tourist Price Index.
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Sri Lanka Tourist Price Index: Food data was reported at 7,803.000 1973-1974=100 in 2016. This records an increase from the previous number of 7,646.000 1973-1974=100 for 2015. Sri Lanka Tourist Price Index: Food data is updated yearly, averaging 2,001.000 1973-1974=100 from Dec 1974 (Median) to 2016, with 43 observations. The data reached an all-time high of 7,803.000 1973-1974=100 in 2016 and a record low of 104.000 1973-1974=100 in 1974. Sri Lanka Tourist Price Index: Food data remains active status in CEIC and is reported by Sri Lanka Tourism Development Authority. The data is categorized under Global Database’s Sri Lanka – Table LK.Q005: Tourist Price Index.
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Tourist Arrivals in Sri Lanka decreased to 158971 in September from 198235 in August of 2025. This dataset provides - Sri Lanka Tourist Arrivals - actual values, historical data, forecast, chart, statistics, economic calendar and news.