Labour Force Survey 2016 - 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 25,750 housing units to be enumerated at the survey. The sampling frame prepared for 2012 Census of Population and Housing is used as the sampling frame for the sample selection of LFS in 2016.

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. In 2016, both Labour Force & Household Income and Expenditure Surveys were conducted parallely using same sample therefore the optimal sample size is 25,750.

Sample Allocation
In 2016, 2575 Primary sampling Units (PSUs) were 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 distributed for 12 months.

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 2575 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 made to LFS schedule to fulfill the requirements of data users and also to provide additional information for planning purposes.
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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国家统计局普查与统计部门（DCS）为持续测量斯里兰卡就业、失业和劳动力水平及趋势，定期（每季度）设计并实施了劳动力调查（LFS）。该调查自1990年第一季度起开始，自那时起在USAID的技术援助下启动，并由DCS继续进行。
主要信息如下：
1. 从人口中筛选出的经济活跃或不活跃个体。
2. 按主要行业分组和就业状态划分的就业情况。
3. 按教育水平和年龄组划分的失业率。
4. 非正规部门就业情况。
5. 按部门和主要行业划分的隐性失业率。
6. 斯里兰卡总就业人数，包括次级就业。
7. 文盲率。
8. 计算机素养。
地理覆盖范围
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全国范围
分析单位
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年龄在15岁或以上的总人口个体
总体
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居住在斯里兰卡非机构性家庭中的15岁及以上工作年龄人口。
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25,750个住房单元进行调查。用于2012年人口和住房普查的抽样框架被用作2016年LFS样本选择的抽样框架。
样本量
1990年开始，非东北地区的样本量每个季度为2,000个住房单元，并在1996年增加到每个季度4,000个住房单元，此后持续如此。在1992年和1997年，选取了20,000个住房单元的年度样本，以提供可靠的地域级别估计。2004年再次选取了20,000个住房单元进行调研。然而，为了精确提供地域级别估计，决定从2006年到2010年每年使用20,000至25,000个住房单元作为样本。从2011年起，每年选取25,000个住房单元。2016年，劳动力调查和家庭收入与支出调查并行进行，使用相同的样本，因此最佳的样本量为25,750。
样本分配
2016年，每个地区和每个部门（城市、农村和种植园）分配了2,575个一级抽样单位（PSU），使用Neymann分配方法，该方法通常考虑失业率的方差。分配给每个地区的样本随后在12个月内平均分配。
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
二级抽样单位是所选2,575个一级抽样单位（普查区块）中的住房单元。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个住房单元（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，多年来进行了一些改进，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，以满足数据使用者的需求，并为规划目的提供额外信息。
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第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第2.7节中给出。年度报告作为外部资源附上。