This statistic shows the share of economic sectors in the gross domestic product (GDP) in Sri Lanka from 2013 to 2023. In 2023, the share of agriculture in Sri Lanka's gross domestic product was 8.28 percent, industry contributed approximately 25.59 percent and the services sector contributed about 59.93 percent.

Sri Lanka LK: GDP: % of GDP: Gross Value Added: Industry: Manufacturing data was reported at 18.518 % in 2017. This records an increase from the previous number of 18.394 % for 2016. Sri Lanka LK: GDP: % of GDP: Gross Value Added: Industry: Manufacturing data is updated yearly, averaging 16.474 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 22.037 % in 1977 and a record low of 13.123 % in 1983. Sri Lanka LK: GDP: % of GDP: Gross Value Added: Industry: Manufacturing 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. Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Note: For VAB countries, gross value added at factor cost is used as the denominator.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average; Note: Data for OECD countries are based on ISIC, revision 4.

Abstract

The Department of Census and Statistics continues to conduct the Annual Survey of Industries which commenced in 1984, replacing the Annual Survey of Manufacturing Industries and covers all activities categorized under the three industrial divisions, namely : Mining & Quarrying, Manufacturing and Distribution of Electricity, Gas and Water.

This survey helps to derive estimates for important industrial indicators in respect of all the industrial establishments that have been included in the register of industrial establishments for the year 1996.

Information had to be adjusted for non-responding establishments and the sample data inflated.

The Objectives of the Annual Survey of Industries are:

1. To provide indicators of the performance and the structure of the industrial sector.
2. To update the list of industrial establishments already available.

Geographic coverage

National coverage

Analysis unit

Industrial establishments

Statistical unit of ASI is the establishment which is defined as a unit engaged in the single or related activities of Mining and Quarrying, Manufacturing and Generation and Distribution of Electricity, Gas and Water in one location under a single ownership or control. However, industrial enterprises which are engaged in production of more than one related activity in one location or one activity in several locations were treated as one unit of enumeration whenever no separate records are available. Any way in the analysis, the ideal definition of the establishment was followed. The information collected of enterprise level was disaggregated into establishment level using the proportion of output. Ancillary units such as warehouses, garages, etc were treated as part of the main establishments.

Universe

All industrial establishments where five or more persons are engaged.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sampling Procedure

ASI is predominantly a postal survey . But Statistical Officers are send to the non responding establishments to get the questionnaires completed.

All industrial establishments with 5 or more persons engaged is the target population of ASI. The list of industries with 5 or more persons as in the Census of Industry - 1983 was the frame ( sample population ) of ASI.

The whole frame was divided into two sectors as establishments with 25 or more persons engaged and establishments with 5-24 persons engaged. All establishments in the 25 or more sector ( census part ) and probability sample of 5 to 24 sector (survey part ) were canvassed. The census part of the frame updated from time to time and the survey part remained unchanged.

The survey part was further stratified according to the geographical locations, industrial activity and size. Geographical strata were 24 administrative districts. Industrial activities were defined as the industry group levels (4 digit level of ISIC]. The persons engaged size classes which were defined as 5-9, 10-14 and 15-24 persons engaged, were used as the size strata.

There were approximately 2500 establishments in the census part and approximately another 2500 were selected for the sample out of about 12000 industries. Higher probabilities were given to select rare industries. The sample was selected systematically within the strata.

The estimated value of a variable was given by (pl see the report Sample design section)

           Y(hat) = (Sigma i=1 to 24[Sigma j=1 to 84[Sigma k=1 to 3 Nijk Yijk
                                                         ------
                                                         nijk
                           Where N = total no of units in the population
                                 n = number of units responded
                                 k = size class of persons engaged
                                 j  = industry group of ISIC
                                 i = District

Mode of data collection

Mail Questionnaire [mail]

Research instrument

There were 20 questions in the questionnaire. The first 14 questions were on identification information. Questions 15-18 were on inputs and output and question number 19 and 20 were about the investment and labor of the establishments.

The value of goods moved out, receipt of industrial services done for others and opening and closing stocks of output were collected to compile the gross output.

Inputs were the addition of value of raw materials consumed of the year 1996. (i.e. Cost of raw materials adjusted for stocks ) and the consumption of electricity, fuel and water. Book value at the beginning of the year, gross additions during the year, and Depreciation were canvassed under the four components of fixed assets namely, Land, Building and Other Constructions, Machinery and Other Equipment and Transport Equipment.

The information on employment and earnings, was collected under two sub categories National and Non-Nationals. The number of mail and female national persons engaged were collected separately, but salaries were canvassed only for the total number of employees. In addition to the above non-national employees and their salaries also were canvassed.

Further information extracted from the report : -

Output Information on output has been collected on shipment basis. The variables canvassed were the value of products moved out from the establishment, value of stocks of finished goods and receipts from industrial services rendered to others.

a. Value of products moved out i. Value of products made by the establishment using its own raw materials. ii. Products made by another establishment using material inputs owned by the establishment, have been considered, as the products made by the establishment and the following three situations have been considered as the moving out. i. sending to another establishment or a person ii. sending to another branch of the same enterprise iii. sending abroad

These products were valued at the price at which the producer disposes of his goods to the customer (i.e. producer's price). All duties and taxes which fell on the products when they leave the establishment are included and subsidies recovered are excluded. Price rebates, discounts and allowances on returned goods allowed to the customer have been deducted and any transport charges which may be invoiced to the purchaser or user have been excluded. Products released to other establishments of the same enterprise have been treated as though sold and valued at producer's prices.

b. Stocks of finished goods The values of stocks of finished goods at the beginning and at the end of the year 1996 have been collected. This consists of all finished goods made by the establishment using their own raw materials and manufactured by another establishment using raw materials owned by this establishment and ready for release. Finished goods held by the establishment which were made from materials owned by others have been excluded. Valuation is in producer's prices.

c. Receipts from Industrial Services The total value of receipts from i. Contract and Commission work done for others on materials owned by them, ii. Repairs and installation work done for others, iii. Sales of scraps and refuses, iv. Own account investment work, have been included here.

d. Value of output The value of output was obtained from the value of shipments and other receipts of Industrial Services adjusted for changes in the values of stocks of finished goods during the reference period. Value of Output = (Value of products moved out) + (Closing stocks of finished goods) - (Opening stocks of finished goods) + (Receipts from Industrial Services)

Inputs Information on inputs has been collected covering the costs of a. Raw materials, parts and components and packing materials (Imported and Indigenous) consumed, b. Industrial services done by others for the establishment, c. Fuel, Electricity & Water consumed.

a. Cost of raw materials, parts and components and packing materials i. Cost of raw materials, packing materials purchased All material inputs ( Raw materials, parts, components containers and supplies) purchased by the establishment for the production process either in this establishment or in another establishment have been included. All materials have been valued at purchaser's prices. ie. The delivered value at the establishment, including the purchase price transport charges, cost of insurance, all taxes and duties on the goods. Discounts or rebates allowed to the purchaser and the value of packing materials returned to the supplier have been deducted. The value of materials owned by others and received by the establishment for production process have been excluded and material inputs received by the establishment from other establishments of the same enterprise (not purchased) for processing have been valued as if purchased. ii. Values of stocks of raw materials and packing materials etc. The opening and closing stocks of all input materials (imported and indigenous) including packing materials which are purchased (or treated as purchased) have been included. The valuation was at purchaser's prices. The stocks of raw material used for own account work for producing own fixed assets have been excluded.

b. Cost of industrial services done by others The total cost of i. Contract and commission work done by others on materials supplied by the

Abstract

This data set belongs to the first Census of Trade & Services in Sri Lanka that successfully covered the entire island based on field enumeration carried out in two phases from October through November 2003 and from June through December 2006 respectively.

Over the past several decades, initiatives taken by the DCS to launch a Census of Trade & Services covering entire island have been unsuccessful due to unforeseen circumstances beyond its control. However, the DCS has successfully completed the "Census of Trade & Services 2003/2006" in December 2006 covering entire island for the first time in the history of the Census of Trade & Services.

Prior to this census, the DCS had done a Census of Trade & Services and published a report titling " Census of Trade & Services 1996/1999 " in 2003. However, there are differences in coverage and compilation methodology between these two Censuses.

The "Distribution Census" in 1968 was the first ever recorded attempt made to collect information on Trade & Services sector by the DCS. After this, a survey on "Distribution Trade Activities" was undertaken in 1987 in order to collect information on Trade & Services sector. The DCS was not able to cover the entire country of this exercise as expected. Except some information of these efforts of collecting services sector data, no records are available until mid 90s to write a much more complete account of the history of the Census of Trade & Services conducted by the DCS.

The Census of Trade & Service (2003 - 2006) was designed to collect information across the country and to Initiate as much uncovered areas and establishments as possible.

The operation of this Census began along with the listing operation of the Census of Industries which took place in 2003. The Trade & Service establishments of both rural and urban sectors were covered in Northern and Eastern Provinces. However, for the rest of the seven provinces, the DCS was able to list the Trade and Service establishments only in rural areas during the listing operation of the Census of Industries 2003. The Census of Trade and Services of urban sector was resumed in mid 2006 with a view to collect information which had not been collected during the operation of Census of Industries 2003. Polonnaruwa and Moneragala districts were not included in this urban census as those districts do not possess urban areas. These two districts were completely subject to listing under rural sector in the Census of Industries 2003. With the urban sector Census, all urban areas of15 Districts were enumerated for Trade & Service activities.

Geographic coverage

National Coverage

The Census covered the establishments engaged primarily in the following activities in accordance with SLSIC.

Wholesale and retail trade, hotels and restaurants Transport, storage and communications Financial, intermediation, real estate, renting and business activities Pubic administration & defense, compulsory social security, education, health & social work, other community social & personal service activities, repair of motor vehicles, motor cycles and personal and household goods

Analysis unit

Establishment (Owner/Person) in charge of the Industrial unit.

(The recommended ststistical unit used in Census of Industries 2003 was the establishment. Hence the same concept was used for the Census of Trade and Services)

Universe

Establishment : This census needs following characteristics in order to be qualified as an establishment.

             Availability of its own trade or service facilities
             Maintaining ofaccounts pertaining to the establishment
              Availability of distinct management and suitable location

Statistical Unit : The statistical unit is the entity for which the required items of data are gathered and compiled. The recommended statistical unit used in Census of Industries 2003 was the establishment. Hence, the same concept was used for the Census of Trade & Services.

No. of Persons Engaged : This is defined as the total number of persons who work in or for the establishment including working proprietors, active partners and unpaid family workers.

ISlC Revision 3 : This is a manual called International Standard Industrial Classification of All Economic Activities (Revision 3) which has been prepared by the UN in order to be used for coding and classifying all sectors of the economy. In order to match the Sri Lankan context a national code list titling "SRI LANKAN STANDARD INDUSTRIAL CLASSIFICATION" (SLSIC) was prepared by the DCS, based on the UN manual (series M No.4, Rev. 3) of ISIC.

Kind of data

Census/enumeration data [cen]

Mode of data collection

Face-to-face [f2f]

Research instrument

The Items Covered in the Questionnaire were:

        Name of the establishnlent
        Location of the establishment
        Contact person's telephone number
        Commencement of the commercial operation
        Description of activity/ activities
        No of persons engaged

The statistic shows the distribution of employment in Sri Lanka by economic sector from 2013 to 2023. In 2023, 26.26 percent of the employees in Sri Lanka were active in the agricultural sector, 26.4 percent in industry and 47.34 percent in the service sector.

The Sri Lanka Hospitality Industry Report is Segmented by Type (Chain Hotels and Independent Hotels) and Segment (Service Apartments, Budget and Economy Hotels, Mid and Upper-Mid-Scale Hotels, and Luxury Hotels). The Report Offers Market Sizes and Forecasts in Terms of Value (USD) for all the Above Segments.

Sri Lanka LK: GDP: % of GDP: Gross Value Added: Industry data was reported at 27.201 % in 2017. This records a decrease from the previous number of 27.287 % for 2016. Sri Lanka LK: GDP: % of GDP: Gross Value Added: Industry data is updated yearly, averaging 26.888 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 30.642 % in 2006 and a record low of 19.994 % in 1967. Sri Lanka LK: GDP: % of GDP: Gross Value Added: Industry 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. Industry corresponds to ISIC divisions 10-45 and includes manufacturing (ISIC divisions 15-37). It comprises value added in mining, manufacturing (also reported as a separate subgroup), construction, electricity, water, and gas. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3 or 4.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average; Note: Data for OECD countries are based on ISIC, revision 4.

This chart offers an insightful look at the store count by category in Sri Lanka. Leading the way is Apparel, with 1.26K stores, which is 17.17% of the total stores in the region. Next is Food & Drink, contributing 746 stores, or 10.21% of the region's total. Home & Garden also has a notable presence, with 722 stores, making up 9.88% of the store count in Sri Lanka. This breakdown provides a clear picture of the diverse retail landscape in Sri Lanka, showcasing the variety and scale of stores across different categories.

In Sri Lanka, the estimated sales amount across various store categories provides key insights into the market's dynamics. Travel, as a prominent category, generates significant sales, totaling $17.09M, which is 21.45% of the region's total sales in this sector. Food & Drink follows with robust sales figures, achieving $15.83M in sales and comprising 19.87% of the region's total. Computers contributes a considerable amount to the regional market, with sales of $3.32M, accounting for 4.17% of the total sales in Sri Lanka. This breakdown highlights the varying economic impacts of different categories within the region, showcasing the diversity and strengths of each sector.

Abstract

The 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.

Geographic coverage

National

Analysis unit

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.

Universe

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.

Kind of data

Sample survey data [ssd]

Sampling procedure

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.

Mode of data collection

Face-to-face [f2f]

Research instrument

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.

Cleaning operations

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.

Response rate

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.

Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Data are in current U.S. dollars.

Abstract

The Objectives of the Annual Survey of Industries are:

1. To provide indicators of the performance and the structure of the industrial sector.
2. To update the list of industrial establishments already available.

Geographic coverage

National Coverage.

Analysis unit

Industrial establishments

Statistical unit of ASI is the establishment which is defined as an unit engaged in the single or related activities of Mining and Quarrying, Manufacturing and Generation and Distribution of Electricity, Gas and Water in one location under a single ownership or control. However, industrial enterprises which are engaged in production of more than one related activity in one location or one activity in several locations were treated as one unit of enumeration whenever no separate records are available. Any way in the analysis, the ideal definition of the establishment was followed. The information collected of enterprise level was disaggregated into establishment level using the proportion of output. Ancillary units such as warehouses, garages, etc were treated as part of the main establishments.

Universe

All industries with 25 or more persons engaged.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sampling Procedure

ASI is predominantly a postal survey . But Statistical Officers are send to the non responding establishments to get the questionnaires completed.

All industrial establishments with 5 or more persons engaged is the target population of ASI. The list of industries with 5 or more persons as in the Census of Industry - 1983 was the frame ( sample population ) of ASI.

The whole frame was divided into two sectors as establishments with 25 or more persons engaged and establishments with 5-24 persons engaged. All establishments in the 25 or more sector ( census part ) and probability sample of 5 to 24 sector (survey part ) were canvassed. The census part of the frame updated from time to time and the survey part remained unchanged.

The survey part was further stratified according to the geographical locations, industrial activity and size. Geographical strata were 24 administrative districts. Industrial activities were defined as the industry group levels (4 digit level of ISIC]. The persons engaged size classes which were defined as 5-9, 10-14 and 15-24 persons engaged, were used as the size strata.

There were approximately 2500 establishments in the census part and approximately another 2500 were selected for the sample out of about 12000 industries. Higher probabilities were given to select rare industries. The sample was selected systematically within the strata.

The estimated value of a variable will be given by (pl see the report Sample design section)

           Y(hat) = (Sigma i=1 to 24[Sigma j=1 to 84[Sigma k=1 to 3 Nijk Yijk
                                                         ------
                                                         nijk
                           Where N = total no of units in the population
                                 n = number of units responded
                                 k = size class of persons engaged
                                 j  = industry group of ISIC
                                 i = district

Mode of data collection

Mail Questionnaire [mail]

Research instrument

There were 18 questions in the questionnaire. The first 12 questions were on identification information. Questions 13-16 were on inputs and output and question number 17 and 18 were about the investment and labor of the establishments.

The value of goods moved out, receipt of industrial services done for others and opening and closing stocks of output were collected to compile the gross output.

Inputs were the addition of value of raw materials consumed of the year 2002. (i.e. Cost of raw materials adjusted for stocks ) and the consumption of electricity, fuel and water. Book value at the beginning of the year, gross additions during the year, and Depreciation were canvassed under the four components of fixed assets namely, Land, Building and Other Constructions, Machinery and Other Equipment and Transport Equipment.

The information on employment and earnings, was collected under two sub categories National and Non-Nationals. The number of male and female national persons engaged were collected separately, but salaries were canvassed only for the total number of employees. In addition to the above non-national employees and their salaries also were canvassed.

Further information extracted from the report : -

Output Information on output has been collected on shipment basis. The variables canvassed were the value of products moved out from the establishment, value of stocks of finished goods and receipts from industrial services rendered to others.

a. Value of products moved out i. Value of products made by the establishment using its own raw materials. ii. Products made by another establishment using material inputs owned by the establishment, have been considered, as the products made by the establishment and the following three situations have been considered as the moving out. i. sending to another establishment or a person ii. sending to another branch of the same enterprise iii. sending abroad

These products were valued at the price at which the producer disposes of his goods to the customer (i.e. producer's price). All duties and taxes which fell on the products when they leave the establishment are included and subsidies recovered are excluded. Price rebates, discounts and allowances on returned goods allowed to the customer have been deducted and any transport charges which may be invoiced to the purchaser or user have been excluded. Products released to other establishments of the same enterprise have been treated as though sold and valued at producer's prices.

b. Stocks of finished goods The values of stocks of finished goods at the beginning and at the end of the year 2002 have been collected. This consists of all finished goods made by the establishment using their own raw materials and manufactured by another establishment using raw materials owned by this establishment and ready for release. Finished goods held by the establishment which were made from materials owned by others have been excluded. Valuation is in producer's prices.

c. Receipts from Industrial Services The total value of receipts from i. Contract and Commission work done for others on materials owned by them, ii. Repairs and installation work done for others, iii. Sales of scraps and refuses, iv. Own account investment work, have been included here.

d. Value of output The value of output was obtained from the value of shipments and other receipts of Industrial Services adjusted for changes in the values of stocks of finished goods during the reference period. Value of Output = (Value of products moved out) + (Closing stocks of finished goods) - (Opening stocks of finished goods) + (Receipts from Industrial Services)

Inputs Information on inputs has been collected covering the costs of a. Raw materials, parts and components and packing materials (Imported and Indigenous) consumed, b. Industrial services done by others for the establishment, c. Fuel, Electricity & Water consumed.

a. Cost of raw materials, parts and components and packing materials i. Cost of raw materials, packing materials purchased All material inputs ( Raw materials, parts, components containers and supplies) purchased by the establishment for the production process either in this establishment or in another establishment have been included. All materials have been valued at purchaser's prices. ie. The delivered value at the establishment, including the purchase price transport charges, cost of insurance, all taxes and duties on the goods. Discounts or rebates allowed to the purchaser and the value of packing materials returned to the supplier have been deducted. The value of materials owned by others and received by the establishment for production process have been excluded and material inputs received by the establishment from other establishments of the same enterprise (not purchased) for processing have been valued as if purchased. ii. Values of stocks of raw materials and packing materials etc. The opening and closing stocks of all input materials (imported and indigenous) including packing materials which are purchased (or treated as purchased) have been included. The valuation was at purchaser's prices. The stocks of raw material used for own account work for producing own fixed assets have been excluded.

b. Cost of industrial services done by others The total cost of i. Contract and commission work done by others on materials supplied by the establishments and ii. Repairs and maintenance services provided by others. are included.

c. Fuel, electricity and water consumed The total of the values of Fuel (LP Gas, Coal and Charcoal, Petrol, Diesel Oil, Furnace Oil, Kerosene Oil, Firewood and others) Electricity and Water consumed has been included.

Raw Materials Consumed Raw materials consumed (i.e. actually used) has been computed by adjusting stocks of raw materials to the total value of raw materials (imported and indigenous) and packing materials purchased. Raw materials and packing materials consumed; = (Raw materials and packing materials purchased (Imported + Indigenous)) +(Opening stocks of materials)

Sri Lanka Container Glass Market Report is Segmented by End-User Industry ((Beverages (Alcoholic Beverages (Beer and Cider, and Other Alcoholic Beverages) and Non-Alcoholic Beverages (Carbonated Soft Drinks, Juices, Water, and Other Non-Alcoholic Beverages)), Food, Cosmetics, Pharmaceutical, and Other End-User Industries). The Market Sizes and Forecasts are Provided in Terms of Volume (tons) for all the Above Segments.

The pie chart showcases the distribution of app/software spending by store category in Sri Lanka, providing insights into how eCommerce stores allocate their resources on the app or software they utilize. Among the store categories, Apparel exhibits the highest spending, with a total expenditure of $122.36K units representing 33.77% of the overall spending. Following closely behind is Beauty & Fitness with a spend of $51.78K units, comprising 14.29% of the total. Food & Drink also contributes significantly with a spend of $42.93K units, accounting for 11.85% of the overall app/software spending. This data sheds light on the investment patterns of eCommerce stores within each category, reflecting their priorities and resource allocation towards app or software solutions.

Sri Lanka LK: Child Employment in Manufacturing: % of Economically Active Children Aged 7-14 data was reported at 15.280 % in 2009. This records an increase from the previous number of 13.110 % for 1999. Sri Lanka LK: Child Employment in Manufacturing: % of Economically Active Children Aged 7-14 data is updated yearly, averaging 14.195 % from Dec 1999 (Median) to 2009, with 2 observations. The data reached an all-time high of 15.280 % in 2009 and a record low of 13.110 % in 1999. Sri Lanka LK: Child Employment in Manufacturing: % of Economically Active Children Aged 7-14 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: Employment and Unemployment. Employment by economic activity refers to the distribution of economically active children by the major industrial categories of the International Standard Industrial Classification (ISIC). Manufacturing corresponds to division 3 (ISIC revision 2), category D (ISIC revision 3), or category C (ISIC revision 4). Economically active children refer to children involved in economic activity for at least one hour in the reference week of the survey.; ; Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.; ;

Sri Lanka's Shipping and Freight Forwarding Industry Report is Segmented by Function (freight Transport, Freight Forwarding, Warehousing, Value-Added Services, and Other Services) and End-User (manufacturing and Automotive, Oil and Gas, Mining, and Quarrying, Agriculture, Fishing, and Forestry, Construction, Distributive Trade, Healthcare and Pharmaceutical, and Other End-Users (chemicals, Telecommunications, Etc. ). The Sri Lankan Freight and Logistics Market Report Offers the Market Size and Forecast Value (USD) for all the Above Segments.

Sri Lanka LK: CO2 Emissions from Manufacturing Industries and Construction: % of Total Fuel Combustion data was reported at 5.914 % in 2014. This records a decrease from the previous number of 7.351 % for 2013. Sri Lanka LK: CO2 Emissions from Manufacturing Industries and Construction: % of Total Fuel Combustion data is updated yearly, averaging 10.011 % from Dec 1971 (Median) to 2014, with 44 observations. The data reached an all-time high of 18.339 % in 1974 and a record low of 5.914 % in 2014. Sri Lanka LK: CO2 Emissions from Manufacturing Industries and Construction: % of Total Fuel Combustion 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: Environment: Pollution. CO2 emissions from manufacturing industries and construction contains the emissions from combustion of fuels in industry. The IPCC Source/Sink Category 1 A 2 includes these emissions. However, in the 1996 IPCC Guidelines, the IPCC category also includes emissions from industry autoproducers that generate electricity and/or heat. The IEA data are not collected in a way that allows the energy consumption to be split by specific end-use and therefore, autoproducers are shown as a separate item (Unallocated Autoproducers). Manufacturing industries and construction also includes emissions from coke inputs into blast furnaces, which may be reported either in the transformation sector, the industry sector or the separate IPCC Source/Sink Category 2, Industrial Processes.; ; IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/; Weighted average; Restricted use: Please contact the International Energy Agency for third-party use of these data.

Abstract

The Census of industry 2004 covered establishments engaged in the economic activities of

1. Mining & quarrying
2. Manufacturing
3. Generation and Distribution of Electricity, Gas and Water

Three questionnaires Long Form, Short Form and M&Q Form were used to canvess Large and Medium scale industrial establishments, Small scale establishments and Mining and Quarrying establisdhments respectively.

The final Census was conducted during October - November 2004 by posting the questionnaires to approximately 9000 large and medium scale industrial (person engaged 10 and more) establishments and by personally visiting approximately 21000 establishments which is a representative sample of small scale industries (persons engaged less than 10).

The Department of Census and Statistics (DCS) usually conducts Census of Industry once in ten years in order to have a full coverage of industrial establishments within the territorial boundary of Sri Lanka. The earliest attempt made at seeking information from the industrial sector was in the "Census of Agriculture and Industries", which was conducted in conjunction with the Population Census in 1946. With the steady increase in industrial activities in Sri Lanka and the growing recognition of the importance of industrial statistics for the purposes of planning, a systematic attempt was made to collect data on industrial production through the Census of Industry in 1952.

This covered Mining and Quarrying, Manufacturing, Electricity and Gas and also Construction. The Census of Industry, 1952 was confined only to the factory type of establishments, i.e. industrial establishments which had not less than 5 paid employees and which had employed a capital of not less than Rs. 3,000 and used mechanical power in any of its production processes. Among the major agro-based export industries, coconut and oil milling were covered in the 1952 census, while tea factories and rubber mills were excluded, and brought instead within the scope of the Census of Agriculture.

The next Census of Industry was conducted in 1964, the scope and coverage of which was similar to that of the 1952 census. The frame for this census was based on a list of buildings prepared for the Census of Population 1963. However, there was considerable difficulty in identifying the buildings in which industrial activities were carried out. As a result the list of industrial establishments compiled on this basis did not provide a satisfactory frame to determine the overall magnitude of "factory establishments" in the industrial sector. The results as analyzed from the limited number of census returns received, could thus prove to be inadequate for depicting a sufficiently realistic picture of the level and structure of industrial activity in the country.

The Census of Industry conducted by the Department of Census & Statistics in 1983 in accordance with the United Nations program was the last Census of Industry. The 1983 Census of Industry, consisted of two stages and in the first stage, information relating to industries included in the pre-listing schedule F1, in which all buildings were listed in the Census of Population and Housing in 1981, was copied into a separate form and updated depending on the nature of Industry and the number of employees engaged.

In 1983 Sri Lanka participated in the 1983 world programmed Industrial Statistics by carrying out a Census of Industry, on a nation - wide scale. The DCS was supposed to have undertaken the Census of Industry in 1993, but had to postpone until 2003 due to the prolonged unrest prevailed in certain areas of the country.

The Census of Industry held in 2004 is the sixth of its kind in a series of Industrial Censuses conducted by the Department of Census and Statistics for over nearly six decades. It covers establishments engaged in the activities of Mining and Quarrying, Manufacturing and the Generation and Distribution of Electricity, Gas and Water according to the International Standard Industrial Classification (ISIC) Revision - 3 of the United Nations (UN).

Geographic coverage

National Coverage.

The target population for this questionnaire was the Mining and Quarrying establishments in Sri Lanka.

Analysis unit

A questionnaire has to be completed for each establishment (plant, factory, mill, mine, workshop etc.) or jointly for a group of establishments on one site or several sites in the same Grama Niladhari division or ward under one accounting system.

A qualified establishment has its own manufacturing facility its own accounting and a distinct management and location

Ancillary units including administrative offices, warehouses. such as garages, repair shops(which primarily serve the production units) should be treated as part of the establishment.

Industrial establishments - Defined as the unit directed by a single owning or controlling entity that is engaged in the production of the most homogeneous group of goods and services, usually at one location but sometimes over a wider area, for which separate records are available(eg. plant, factory, mill, mine, workshop etc)

In cases where industrial enterprises were engaged in the production of more than one homogeneous group of goods and services in different locations, separate returns were generally obtained for each such product group and location. In cases where establishments operated by a single owner or enterprise was located within the area of one GS Division or Ward, these several units could furnish a single return and this would be reckoned as one establishment.

Ancillary units including warehouses, garages repair shops electric plants which primarily served the needs of a single establishment, if they were in the same site within the same GS division , or Ward were treated as part of the main establishment. Otherwise these were treated as separate establishments but classified to the same industry as the parent establishment.

Universe

The census covered establishments engaged primarily in the activities of Mining and Quarrying, Manufacturing and the production and distribution of Electricity, Gas and water which correspond to major divisions 2,3 and 4 respectively of the UN classification of ISIC and represented the industrial sector specified for census coverage.

The questionnaire (called Mining and Quarrying Form) to which this data set belongs was administered to the Mining and Quarrying establishments which belongs to the Large and Medium scale or the Small scale category.

Kind of data

Sample survey data [ssd]

Sampling procedure

In October-November 2003, DCS conducted a listing operation of Census of Industry prior to the canvass of detailed information on establishments. The census registry was based mainly on notations made during door-to-door canvassing in mid 2000 for the Census of Population and Housing. List of Establishments by Grama Niladhari Divisions were sent in latter part of 2003 to each Grama Niladhari with a request to be updated for industrial establishments (mostly newer ones) that were lacking in 2001, the closures of older ones and for some changes on establishments. The updated list of all industrial establishments was employed as the sampling frame. The whole frame was divided into two groups as establishments with less than 10 persons engaged (Small establishments) and establishments with 10 and more persons engaged (Medium and Large establishments). The small establishments that had less than 10 persons engaged was further divided into two groups as establishments with less than 30 same type of industries (ISIC 4 digits level) and establishments with 30 and more same type of industries (ISIC 4 digits level) in each district.

A total of 30,913establishments were selected. Those 9,950 establishments that have 10 and more persons engaged were selected with certainty. The small establishments with less than 30 same kind of industries were selected with certainty totaling 9089 while others (i.e. establishment with 30 and more same kind of industries) were selected by using the stratified simple random sample design. In general, strata were defined by the kind of industries at ISIC 4 digits level and district groups In absence of any other auxiliary variables in the list frame that could be used in the sample allocation and selection, sample sizes across strata were determined using proportional allocation. That is, if Nh is the population size in stratum h and N IS the population size, the first iteration sample size nh in stratum h is derived by

Nh=Nh x11874/ N

Sampling deviation

The non-response weight is the ratio the sample size to the total respondents. The establishments that were considered as non-respondents are those who refused to participate in the Census. The following are considered with frame problems:
those establishments that cannot be located, those that were closed (they should not be included in the sampling frame), those that are out-of-scope (the ISIC classification was not specified correctly) and those that were duplicates and mergers.

Of the small establishments with 30 and more same kind of industries in the sampling frame, 10.9% should not have been included. This is rather a big percentage of the such small establishments and therefore, requires an adjustment factor to be incorporated in the weight. To illustrate, if Nh is the population size for stratum hand nh is the corresponding sample size, then the corresponding selection probability Ph is

               Ph = nh/Nh

If given the stratum h, qlh is the proportion of establishments with frame problems (proportion of those that should not be included in the frame) and q2h is the proportion of establishments

This page displays a table with Sri Lanka Exports By Category in U.S. dollars, according to the United Nations COMTRADE database on international trade.

Sri Lanka LK: Child Employment in Agriculture: % of Economically Active Children Aged 7-14 data was reported at 66.490 % in 2009. This records a decrease from the previous number of 71.230 % for 1999. Sri Lanka LK: Child Employment in Agriculture: % of Economically Active Children Aged 7-14 data is updated yearly, averaging 68.860 % from Dec 1999 (Median) to 2009, with 2 observations. The data reached an all-time high of 71.230 % in 1999 and a record low of 66.490 % in 2009. Sri Lanka LK: Child Employment in Agriculture: % of Economically Active Children Aged 7-14 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: Employment and Unemployment. Employment by economic activity refers to the distribution of economically active children by the major industrial categories of the International Standard Industrial Classification (ISIC). Agriculture corresponds to division 1 (ISIC revision 2), categories A and B (ISIC revision 3), or category A (ISIC revision 4) and includes hunting, forestry, and fishing. Economically active children refer to children involved in economic activity for at least one hour in the reference week of the survey.; ; Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.; ;