Wages in Sri Lanka decreased to 1135 LKR/Day in February from 1147.20 LKR/Day in January of 2018. This dataset provides - Sri Lanka Wage Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Sri Lanka Average Daily Wage: Agriculture data was reported at 543.760 LKR in 2016. This records an increase from the previous number of 452.310 LKR for 2015. Sri Lanka Average Daily Wage: Agriculture data is updated yearly, averaging 100.960 LKR from Dec 1986 (Median) to 2016, with 31 observations. The data reached an all-time high of 543.760 LKR in 2016 and a record low of 16.730 LKR in 1986. Sri Lanka Average Daily Wage: Agriculture data remains active status in CEIC and is reported by Department of Labour. The data is categorized under Global Database’s Sri Lanka – Table LK.G026: Average Daily Wage.

Key information about Sri Lanka Household Income per Capita

• Sri Lanka Annual Household Income per Capita reached 1,422.182 USD in Jun 2019, compared with the previous value of 1,385.427 USD in Jun 2016.
• Sri Lanka Annual Household Income per Capita data is updated yearly, available from Jun 1981 to Jun 2019, with an averaged value of 577.877 USD.
• The data reached an all-time high of 1,422.182 USD in Jun 2019 and a record low of 125.248 USD in Jun 1981.

CEIC calculates Annual Household Income per Capita from Monthly Average Household Income per Capita multiplied by 12 and converts it into USD. The Department of Census and Statistics provides Average Household Income per Capita in local currency. Federal Reserve Board average market exchange rate is used for currency conversions. Household Income per Capita is in annual frequency, ending in June of each year.

Sri Lanka Average Daily Wage: Manufacturing data was reported at 413.950 LKR in 2016. This records an increase from the previous number of 411.070 LKR for 2015. Sri Lanka Average Daily Wage: Manufacturing data is updated yearly, averaging 105.060 LKR from Dec 1986 (Median) to 2016, with 31 observations. The data reached an all-time high of 413.950 LKR in 2016 and a record low of 25.320 LKR in 1986. Sri Lanka Average Daily Wage: Manufacturing data remains active status in CEIC and is reported by Department of Labour. The data is categorized under Global Database’s Sri Lanka – Table LK.G026: Average Daily Wage.

Sri Lanka Average Daily Wage: Tea & Rubber Estate Workers data was reported at 405.000 LKR in 2016. This stayed constant from the previous number of 405.000 LKR for 2015. Sri Lanka Average Daily Wage: Tea & Rubber Estate Workers data is updated yearly, averaging 116.460 LKR from Dec 1994 (Median) to 2016, with 23 observations. The data reached an all-time high of 405.000 LKR in 2016 and a record low of 61.410 LKR in 1994. Sri Lanka Average Daily Wage: Tea & Rubber Estate Workers data remains active status in CEIC and is reported by Department of Labour. The data is categorized under Global Database’s Sri Lanka – Table LK.G026: Average Daily Wage.

Explore the progression of average salaries for graduates in Information And Communication Technology 3Year Sri Lankan Degree from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Information And Communication Technology 3Year Sri Lankan Degree relative to other fields. This data is essential for students assessing the return on investment of their education in Information And Communication Technology 3Year Sri Lankan Degree, providing a clear picture of financial prospects post-graduation.

Sri Lanka Average Daily Wage: Master Mason data was reported at 2,037.000 LKR in Aug 2018. This records an increase from the previous number of 1,986.000 LKR for Jul 2018. Sri Lanka Average Daily Wage: Master Mason data is updated monthly, averaging 389.470 LKR from Jan 1984 (Median) to Aug 2018, with 416 observations. The data reached an all-time high of 2,037.000 LKR in Aug 2018 and a record low of 61.670 LKR in Feb 1984. Sri Lanka Average Daily Wage: Master Mason data remains active status in CEIC and is reported by Central Bank of Sri Lanka. The data is categorized under Global Database’s Sri Lanka – Table LK.G026: Average Daily Wage.

Sri Lanka Average Daily Wage: Rubber Tapping data was reported at 815.000 LKR in Aug 2018. This records an increase from the previous number of 811.000 LKR for Jul 2018. Sri Lanka Average Daily Wage: Rubber Tapping data is updated monthly, averaging 143.470 LKR from Jan 1984 (Median) to Aug 2018, with 416 observations. The data reached an all-time high of 860.000 LKR in Apr 2018 and a record low of 26.380 LKR in Mar 1984. Sri Lanka Average Daily Wage: Rubber Tapping data remains active status in CEIC and is reported by Central Bank of Sri Lanka. The data is categorized under Global Database’s Sri Lanka – Table LK.G026: Average Daily Wage.

Sri Lanka: Bank cost to income ratio, in percent: The latest value from 2021 is 43.49 percent, a decline from 48.27 percent in 2020. In comparison, the world average is 54.80 percent, based on data from 133 countries. Historically, the average for Sri Lanka from 2011 to 2021 is 50.69 percent. The minimum value, 43.49 percent, was reached in 2021 while the maximum of 55.6 percent was recorded in 2011.

Sri Lanka Average Daily Wage: Coconut Digging Pits data was reported at 1,435.000 LKR in Aug 2018. This records an increase from the previous number of 1,412.000 LKR for Jul 2018. Sri Lanka Average Daily Wage: Coconut Digging Pits data is updated monthly, averaging 300.960 LKR from Jan 1984 (Median) to Aug 2018, with 416 observations. The data reached an all-time high of 1,435.000 LKR in Aug 2018 and a record low of 32.130 LKR in Apr 1984. Sri Lanka Average Daily Wage: Coconut Digging Pits data remains active status in CEIC and is reported by Central Bank of Sri Lanka. The data is categorized under Global Database’s Sri Lanka – Table LK.G026: Average Daily Wage.

Sri Lanka: Bank non-interest income to total income, in percent: The latest value from 2021 is 23.15 percent, a decline from 23.56 percent in 2020. In comparison, the world average is 38.13 percent, based on data from 133 countries. Historically, the average for Sri Lanka from 2011 to 2021 is 24.17 percent. The minimum value, 20.78 percent, was reached in 2019 while the maximum of 27.61 percent was recorded in 2014.

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

Sri Lanka Average Daily Wage: Master Carpenter data was reported at 2,026.000 LKR in Aug 2018. This records an increase from the previous number of 2,007.000 LKR for Jul 2018. Sri Lanka Average Daily Wage: Master Carpenter data is updated monthly, averaging 396.430 LKR from Jan 1984 (Median) to Aug 2018, with 416 observations. The data reached an all-time high of 2,026.000 LKR in Aug 2018 and a record low of 62.410 LKR in Feb 1984. Sri Lanka Average Daily Wage: Master Carpenter data remains active status in CEIC and is reported by Central Bank of Sri Lanka. The data is categorized under Global Database’s Sri Lanka – Table LK.G026: Average Daily Wage.

The Personal Income Tax Rate in Sri Lanka stands at 18 percent. This dataset provides - Sri Lanka Personal Income Tax Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Abstract

This survey provides information on household income and expenditure to be able to measure the levels and changes in the living condition of the people, to observe the consumption patterns and to compute various other indicators such as poverty, food ratio, gini co-efficient of income and expenditure etc. Key objectives of the survey - To identify the income patterns in Urban, Rural, Estate Sector and Districts. - To identify the income patterns by income levels. - Average consumption of food items and non food items. - Expenditure patterns by sector and by different income levels. - To identify the incidence of poverty by sector and income levels

Geographic coverage

National coverage. For this survey a sample of buildings and the occupants therein was drawn from the whole island.

Analysis unit

Household, Individuals

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample design of the survey is two stage stratified and the Urban, Rural and the Estate sectors in each district of the country are the selection domains thus the district is the main domain used for the stratification. The sampling frame is the list of housing units prepared for the Census of Population and Housing (CPH) 2011.

Selection of Primary Sampling Units Primary sampling units (PSUs) are the census blocks selected for the survey. The sampling frame, which is the collection of all the census blocks prepared in CPH 2011 in Sri Lanka, is used for the selection of the PSUs at the first stage of the selection. The PSU selection is done within all the independent- selection domains that are assigned different sample size allocations to total the targeted sample size of 2,500 PSUs. The method of selection of the PSUs at the first stage is systematic with a selection probability given to each census block proportionate to the number of housing units available in the census blocks within the selection domains (PPS). The selected PSUs are updated to include newly built housing units and to exclude demolished or vacated housing units, which are no longer considered as housing units according to the survey definitions, to capture variation of natural growth and to make necessary adjustments for the same. The PSU updating operation in field is generally done less than one month prior to the survey and it was carried out for the 12 months starting from October 2015 to September 2016 to support the scheduled 12 survey months started from January to December in 2016 for the HIES 2016.

Selection of Secondary Sampling Units Secondary Sampling Units (SSUs) or Final sampling units (FSUs) are the housing units selected at the second stage from the 2,500 PSUs selected at the first stage. From each PSU, 10 SSUs (housing units) are systematically selected giving each housing unit in the PSU an equal probability to be selected for the survey. The total sample of size 25,000 housing units is resulted at the end of the sampling process and this sample represents the whole country in different probabilities depend on the different sample sizes allocated for the selection domains.

Mode of data collection

Face-to-face [f2f]

Research instrument

All the Questionnaires are included in the final report of HIES 2016

Cleaning operations

No content available

Response rate

See page number 2 for further details

Sri Lanka Average Daily Wage: Construction data was reported at 493.500 LKR in 2016. This stayed constant from the previous number of 493.500 LKR for 2015. Sri Lanka Average Daily Wage: Construction data is updated yearly, averaging 155.000 LKR from Dec 1986 (Median) to 2016, with 31 observations. The data reached an all-time high of 493.500 LKR in 2016 and a record low of 34.000 LKR in 1986. Sri Lanka Average Daily Wage: Construction data remains active status in CEIC and is reported by Department of Labour. The data is categorized under Global Database’s Sri Lanka – Table LK.G026: Average Daily Wage.

Abstract

The Colombo Consumers' Price Index (CCPI) which was introduced in 1952 by the Department of Census and Statistics and which is now published on the last working day of every month is the official index by which changes in price levels of consumer goods and services in Sri Lanka are measured. Since then the index has been used to date for very vital purposes as described below. It is used for multi-purpose functions such as :

                              for conversion of total current values of national income up to fixed values, 
                              policy making on monetary income and wages, 
                              payment of salaries and wages, 
                              providing social security facilities and analysis of economic and social activities. 

Thus the government mechanism and the non-government organizations use this index as the vital official measurement unit in the fields of financial, revenue, salaries, wages and socio-economic policy making.

Geographic coverage

All Urban Divisions in Colombo District

Analysis unit

Commodities (in Retail outlets in Colombo City)

Universe

Retail commodity prices of the goods in Colombo MC and suburban areas

Kind of data

Observation data/ratings [obs]

Sampling procedure

The Weekly Test Purchases operation is not a sample survey. But the following points should be noted:-

From each market, about five outlets have been identified for this operation. Out of the five outlets three are visited by the enumeretors regularly. The selected three outlets in each market are usually visited in every price collection day of the week. The fourth & the fifth outlets will be kept as optional in case the regular outlets are not operational due to some reason.

Mode of data collection

Face-to-face [f2f]

Research instrument

There are two types of questionnaires,

  01  A , B , C , D , E - Food Items

  02  Mis01,Mis02,Mis03,Mis04,Mis05,Mis06,Mis07,Mis08 - Non Food Items

General Instructions in filling Forms:

***Group I Form

Price quotations should be collected in few representative and fixed open market retail outlets or stalls in the main marketing area of the Town on morning (9 to 12) of Tuesdays 1st and 3rd week

This price schedule should be perfected and sent by post to the Director Prices and Wages Division in the same week.

***Group II Form

Price quotations required should be obtained once a month from the same outlets, which should be chosen from the selected establishments listed above.

If a particular item is not available in the selected retail outlet, Price quotations may be obtained from the other establishments, whose address should be given. If the item is not available at all in the town, the price of substitute item which resembles most closely the specified item should be priced and brand name, weight should be entered in the form. Brand name and weight of "other" item where it is priced should also be given.

***Group III Form

The item should be selected under specification which has been mentioned here. Two price quotations should be obtained quarterly from the same establishments as far as possible and prices should be collected from the same establishment in future too.

If a particular item is not available in the selected retail outlets, price quotations may be obtained from the reserve or other establishments whose address should be given. If the item is not available at all in the town, the price of a substitute item which resembles most closely the specified item should be entered in the form. Brand name and Weight of "Other" item where it is priced should also be given.

Where transactions take place in other than metric units, the weight of volume of the item priced should be carefully recorded in grams or milli-liters in the space provided.

When you complete item 4 in 1st page of schedule cross out months except the price collection month.

***Producers' Prices Form

You are instructed to obtain the Producers' prices once a month from selected two main producing centers, and few other production centers are selected for all other agriculture production. The district officer can select the producing centers with the help of the field officer in the respective DS Division. The farm-gate price of every item should be completed in column 4,5,and 6 by the field officer and monthly average prices given in the pricing schedules should be recorded systematically in a price list or in the register maintained in your office.

The average price for three columns (4,5 and 6) should be computed and recorded in the 7th column. If there is noticeable change in average price of column 7 and 8 or if current available price in column 7 is not available. Please give your reasons in column 9. Livestock prices should be collected quarterly and for this purpose the second month of each quarter is more appropriate. (Feb, May, Aug, Nov)

You are advised to collect the prices during the second week of each month and the completed forms should be sent to the Director, Prices and Wages Division by post on or before the given date.

PRODUCERS' PRICE - This is at the farm-gate price or at village market price (pola) charged to customer/buyer. This value figures should include all duties and taxes which fall on products when they leave the farm-gate, but should exclude any subsidies received. This valuation should exclude any transport charges that may be invoiced to the purchaser or user.

Cleaning operations

Usually the prices collected should fall within a range accepted by the Prices and Wages Division staff. If by chance, an abnormally high or a low price have been recorded, that price item will be discarded and not taken for computation purposes.

In a rare situation where the prices of a commodity have not been recorded due to a problem in the market, then the previous day's recording will be assumed for the respective price collection round.

Sri Lanka Average Daily Wage: Paddy Ploughing data was reported at 1,405.000 LKR in Aug 2018. This records a decrease from the previous number of 1,438.000 LKR for Jul 2018. Sri Lanka Average Daily Wage: Paddy Ploughing data is updated monthly, averaging 246.170 LKR from Jan 1984 (Median) to Aug 2018, with 416 observations. The data reached an all-time high of 1,467.000 LKR in May 2018 and a record low of 37.000 LKR in Jan 1986. Sri Lanka Average Daily Wage: Paddy Ploughing data remains active status in CEIC and is reported by Central Bank of Sri Lanka. The data is categorized under Global Database’s Sri Lanka – Table LK.G026: Average Daily Wage.

Abstract

This survey provides information on household income and expenditure to be able to measure the levels and changes in the living condition of the people and to observe the consumption patterns .

Key objectives of the survey - To identify the income patterns in Urban, Rural and Estate Sectors & provinces. - To identify the income patterns by income levels. - Average consumption of food items and non food items - Expenditure patterns by sector and by differnt income levels.

Geographic coverage

National coverage.

Analysis unit

Household, Individuals

Universe

For this survey a sample of buildings and the occupants therein was drawn from the whole island

Kind of data

Sample survey data [ssd]

Sampling procedure

A multi-stage stratified random sample design was used in this survey. Sectors of the District are the domains for stratification. The Master sample frame prepared for the Demographic Survey 1994 was used in this survey. There were about 4000 Primary Sampling Units ( PSUs) in the frame. From this frame, a sample of 1061 PSU's were drawn for Income and Expenditure Survey 1995/96. From each sampled PSU, 20 numbers of housing units ( final sampling units ) were drawn to reach a sample of 21,220 housing units. Therefore the weighting factors calculated for Income and Expenditure Survey 1995/96 were based on the corresponding factors of the Demographic Survey 1994.

Sample allocation

The District and Sector allocation of the number of housing units to be surveyed was done proportionate to the square root of the total number of housing units in the District and Sector. However selected areas under the urban sector of the Colombo District and the Gampaha District were over-sampled to obtain a better representative sample and to obtain weighting factors for computation of Consumer Price Indices.

( Refer section 1.3 of the Final Report attached in the external resources section )

Estimation Procedure ( Refer section 1.4 of the Final Report attached in the external resources section )

Mode of data collection

Face-to-face [f2f]

Research instrument

Questionaires

The survey schedule was designed to collect data on household basis and separate schedules were used for each household (identified according to the definition of the household) within the housing units selected for the survey.The survey Schedule consists of three main sections .

       1. Demographic section 
       2. Expenditure
       3. Income

The demographic characteristics and usual activities of the inmates belonging to the household are reported in the Demographic section of the schedule and close relatives temporarily living away are also listed in the section. Expenditure section has two sub sections to report food and non-food consumption data separately. Expenditure incurred on their own decisions by boarders and servants are recorded in the sub section under the expenditure section. The income has seven sub sections categorized according to the main sources of income.

Response rate

The all Island response rate was

Sampling error estimates

Refer the section 1.4 of the final report attached in the External Resources section.

Sri Lanka Average Daily Wage: Unskilled Male Government Workers data was reported at 32,034.000 LKR in 2016. This records an increase from the previous number of 29,530.000 LKR for 2015. Sri Lanka Average Daily Wage: Unskilled Male Government Workers data is updated yearly, averaging 9,350.090 LKR from Dec 1994 (Median) to 2016, with 23 observations. The data reached an all-time high of 32,034.000 LKR in 2016 and a record low of 2,660.000 LKR in 1994. Sri Lanka Average Daily Wage: Unskilled Male Government Workers data remains active status in CEIC and is reported by Department of Labour. The data is categorized under Global Database’s Sri Lanka – Table LK.G026: Average Daily Wage.