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.

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: 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.

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: 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.

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: 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: 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.

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.

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.

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: 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.

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 different 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

Sample Design A two stage stratified random sample design was used in this survey. Bach domain for which separate estimates were required was made a separate stratum. As such each sector (Urban, Rural, Estate) within each district was considered as a separate stratum.

Sample Size In this design the first stage units (FSU) were the census blocks prepared at the 1981 Census of Population and the second stage units (SSU) were the housing units. It was decided to select 10 housing units from each selected census block. Thus, a first stage sample of about 2,500 census blocks have to be selected from the entire island.

Sample Allocation and Method of Selection The allocation of 2,500 census blocks to each district was made proportional. to the square root of the population· ( as at 1981 Census ) in that district. These values have been rounded to multiples of twelve. ( Refer page 5 of the final report attached in the external resources section) It was decided to over sample the urban sector in each district in comparison to the rural and estate sectors with the objective of allocating roughly by one-third of the total sample.

Allocation between the rural and estate sectors in each district was proportional to 1981 population. Within each stratum, the assigned number of FSU's were selected with probability proportionate to size (using the Census or adjusted housing unit counts ) with replacement.

The lists of census units prepared for the Census of Population and Housing 1981, of each selected block were updated to include new ·housing units and to exclude ones which are no longer in existence. This updating operation was also staggered over a period of twelve months starting from May 1990 to April 1991. For each FSU, updating was done about one month prior to the scheduled interviewing.

Sampling deviation

Non-Response Of a sample of 25080 housing units selected only 19,401 households were covered in the survey. Northern and Eastern provinces were excluded in the survey due to the prevailing conditions in the area.

Mode of data collection

Face-to-face [f2f]

Research instrument

Questionnaires

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

Out of 19401 households 95 percent the households were fully completed while 0.2 percent have refused. Sector wise completion rates show that Urban sector had 93 percent, Rural sector 96 percent and the Estate sector 97 percent.

Sampling error estimates

Refer the pages 7 to 10 of the final report attached in the External Resources section.

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 - excluding the Nothern Province and the Trincomalee District

Analysis unit

• Household
• Individual

Kind of data

Sample survey data [ssd]

Sampling procedure

A two stage stratified random sample design was used in the survey. Urban, rural and estate sectors of the District are the domains for stratification. The sample frame is the list of buildings that were prepared for the Census of Population and Housing 2001.

Selection of Primary Sampling Units (PSU's): Primary Sampling Units are the census blocks prepared for the Census of Population and Housing - 2001. The sample frame, which is a collection of all census blocks in the domain, was used for the selection of primary sampling units. A sample of 2500 primary sampling units was selected from the sampling frame for the survey. Each selected block was updated to include newly built housing units and excluded demolished housing units, which are no longer in existence. This updating operation was also carried out over a period of 12 months, starting from June 2006 to May 2007. For each PSU, updating was done about one month prior to the scheduled interviewing.

Selection of Secondary Sampling Units (SSU's): Secondary Sampling Units are the housing units in the selected 2500 primary sampling units (census blocks). From each primary sampling unit 10 housing units (SSU) were selected for the survey. The total sample size of 25000 housing units was selected and distributed among Districts in Sri Lanka.

Sample Allocation: Allocation of the number of Primary Sampling Units for the districts and sectors were done proportionately to the number of housing units and the standard deviation of the expenditure values reported in the respective domains in the Household Income and Expenditure survey 2002 (Neymann Allocation). The district sample was equally distributed among the 12 monthly rounds.

Note: Details of sample design information is presented in the survey final report.

Mode of data collection

Face-to-face [f2f]

Research instrument

The survey questionnaire consists of nine parts. i. Demographic Characteristics ii. School education (Aged 5 to 20 years) iii. Information related to health vi. Household expenditure v. Household income vi. part a : Inventory of durable goods vi. part b : Debts of the household vii. Access to facilities in the area viii. Information about housing ix. Agriculture holdings and livestock

Response rate

The all Island response rate was 91%.

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: 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.

Sri Lanka Average Daily Wage: Paddy: Transplanting: Male data was reported at 2,484.000 LKR in Sep 2024. This records an increase from the previous number of 2,465.000 LKR for Aug 2024. Sri Lanka Average Daily Wage: Paddy: Transplanting: Male data is updated monthly, averaging 1,070.000 LKR from Jul 2008 (Median) to Sep 2024, with 195 observations. The data reached an all-time high of 2,529.000 LKR in Jun 2024 and a record low of 519.000 LKR in Jul 2008. Sri Lanka Average Daily Wage: Paddy: Transplanting: Male 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: 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.