Labour Force Survey 2015 - Sri Lanka

Abstract
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Department of Census and Statistics (DCS) designed a Labour Force Survey(LFS) on a quarterly basis to measure the levels and trends of employment, unemployment and labour force in Sri Lanka on a continuous basis. This survey commenced from the first quarter 1990 with USAID technical assistance and is being continued by the DCS.
Mainly, following information can be obtained by the survey.
1.The economically active / inactive from population.
2.Employment by major industry group and employment status.
3.Unemployment rates by level of education and by age group
4.The informal sector employment.
5.The underemployment rates by sector and by major industries
6.Total Jobs in Sri Lanka with Secondary Employment
7.Literacy
8.Computer Literacy

Geographic coverage
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National Coverage

Analysis unit
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Individuals from the population aged 15 years or more

Universe
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Working age population (15 years and above) living in the non-institutional households in Sri Lanka.

Kind of data
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Sample survey data [ssd]

Sampling procedure
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Sampling plan and the sampling frame
Two stage stratified sampling procedure is adopted to select a sample of 25,000 housing units to be enumerated at the survey. The sampling frame prepared in 2011 for Census of Population and Housing 2012 is used as the sampling frame for the sample selection of LFS in 2015.

Sample size
At the beginning in 1990, the sample size was 2,000 housing units per quarter in areas other than North and East, and the sample size was increased to 4,000 housing units per quarter in 1996 and continued thereafter. In 1992 and 1997, an annual sample of 20,000 housing units was selected to give reliable estimates by district level. In 2004 again 20,000 housing units were selected for the survey. However, in order to provide district level estimates precisely, it was decided to use 20,000 -25,000 housing units as the annual sample from 2006 to 2010. From 2011 onward annual sample of 25,000 housing units were selected.

Sample Allocation
In 2015, 2500 Primary sampling Units (PSUs) are allocated to each district and to each sector (Urban,Rural and Estate) by using the Neymann allocation method which considers the variance of unemployment rate as usually. The allocated sample for each district then equally distributedfor 12 months.
The survey was conducted from January till December in 2015.

Selection of Primary Sampling Units (PSU)
Primary sampling units are the census blocks prepared at the Census of Population and Housing -2012.

Selection of Secondary Sampling Units (SSU)
Secondary Sampling Units are the housing units in the selected 2500 primary sampling units (census blocks). From each selected primary sampling unit, 10 housing units (SSU) are selected for the survey using systematic random sampling method.

Mode of data collection
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Face-to-face [f2f]

Research instrument
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Survey Schedule
Current survey concepts and methods are very similar to those introduced at the beginning.However, some changes have been made over the years to improve the accuracy and usefulness of the data.In 2006, some significant improvements were madeto LFS schedule to fulfill the requirements of data users and also to provide additional information for planning purposes.
The revision focused on literacy, household economic activities, informal sector employment and underemployment etc. and that had been using from first quarter 2006, till 4th quarter 2012.
In 2013, new questions were included to the surveyschedule. These were to improve statistics onemployment, employment on informal sector, secondary occupation, training received and on computer literacy.
The questionnaire is attached as an external resource.

Sampling error estimates
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The estimation procedure is given in the section 2.6 in the Annual Report.The Annual Report is attched in the External Resources Section.

Data appraisal
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The adjustments for non-response is given in the section 2.7 in the Annual Report.The Annual Report is attched in the External Resources Section.

摘要
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国家统计局部门（DCS）设计了一套劳动力调查（LFS），以季度为周期，持续测量斯里兰卡就业、失业和劳动力水平及其趋势。该调查自1990年第一季度开始，在USAID的技术协助下启动，并由DCS持续进行。
主要信息如下。
1. 从人口中识别经济活跃或非活跃人群。
2. 按主要行业组和就业状况划分的就业情况。
3. 按教育水平和年龄组的失业率。
4. 非正式部门就业情况。
5. 按部门和主要行业划分的过剩就业率。
6. 斯里兰卡总就业岗位，包括二级就业。
7. 识字率。
8. 计算机素养。
地理覆盖范围
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全国范围
分析单元
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15岁及以上的总人口个体
总体
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居住在斯里兰卡非机构家庭的15岁及以上劳动年龄人口。
数据类型
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样本调查数据 [ssd]
抽样程序
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抽样计划和抽样框架
采用两阶段分层抽样程序，选取25,000个住房单位进行调查。2011年为人口和住房普查2012年准备的抽样框架被用作2015年LFS样本选择的抽样框架。
样本量
1990年最初，除北区和东区以外的地区每季度样本量为2,000个住房单位，1996年样本量增至每季度4,000个住房单位，并持续至今。1992年和1997年，为通过区级提供可靠估计，选取了20,000个住房单位的年度样本。2004年再次选取了20,000个住房单位进行调查。然而，为了精确提供区级估计，从2006年到2010年决定使用20,000-25,000个住房单位的年度样本。从2011年起，每年选取25,000个住房单位的样本。
样本分配
2015年，使用Neymann分配方法，根据失业率的方差考虑因素，将每个区及每个部门（城市、农村和种植园）分配了2,500个一级抽样单位（PSU）。然后，将每个区的分配样本平均分配到12个月中。
调查从2015年1月持续至12月。
一级抽样单位的选取
一级抽样单位是在2012年人口和住房普查中准备的普查区块。
二级抽样单位的选取
二级抽样单位是选定的2,500个一级抽样单位（普查区块）中的住房单位。从每个选定的一级抽样单位中，使用系统随机抽样方法选取10个住房单位（SSU）进行调查。
数据收集方式
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面对面 [f2f]
研究工具
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调查问卷
当前调查的概念和方法与最初引入的非常相似。然而，多年来已进行了一些修改，以提高数据的准确性和实用性。2006年，对LFS问卷进行了重大改进，以满足数据用户的需求，并为规划目的提供额外信息。修订重点在于识字率、家庭经济活动、非正式部门就业和过剩就业等，这些内容自2006年第一季度起使用，直至2012年第四季度。
2013年，调查问卷中增加了新问题，以提高就业、非正式部门就业、二级职业、接受的培训以及计算机素养等方面的统计数据。
问卷作为外部资源附上。
抽样误差估计
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估计程序在年度报告的2.6节中给出。年度报告作为外部资源附上。
数据评估
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非响应调整在年度报告的2.7节中给出。年度报告作为外部资源附上。