Labour Force Survey 2022 - 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 labourforce in Sri Lanka on a continuous basis. This surveycommenced from the first quarter 1990 with USAID technical assistance and is being continuedby 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.Informal Employment in Sri Lanka
8.Literacy
9.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 2022.

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, 1997 and in 2004 an annual sample of 20,000 housing units was selected to give reliable estimates by district level. However, in order to provide district level estimates precisely, it was decided to use 20,000 -25,000 housing units as the annual sample from2006 to 2010. In 2022 25,750 Housing units were selected for the sample.

Sample Allocation
In 2022, 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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Computer Assisted Personal Interview [capi]

Research instrument
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Survey Schedule and CAPI Programme
Current survey concepts and methods are very Similar to those introduced at the beginning. However, some changes have been made over the years in 2006, 2013, 2015, 2016, 2017 & 2018 to improve the accuracy and usefulness of the data.
The questionnaire is attached in the final report.

Cleaning operations
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Data was processed by following 2 steps,
1. Feeding data to the CAPI system by enumerator.
2. Sending data to the head office through each district offices.

Computer edit check programs are used to capture unusual observations in the data files.

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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国家统计局与普查司（DCS）为持续监测斯里兰卡就业、失业及劳动力水平与趋势，按季度编制了一项劳动力调查（LFS）。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. 经济活跃或非活跃的劳动力人口。
2. 按主要行业分组及就业状态划分的就业情况。
3. 按教育水平和年龄段划分的失业率。
4. 非正规部门的就业情况。
5. 按部门和主要行业划分的就业不足率。
6. 斯里兰卡的总就业岗位，包括二级就业。
7. 斯里兰卡的非正规就业。
8. 文盲率。
9. 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化家庭中的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25,750个住房单元作为调查对象。用于2022年LFS样本选择的抽样框架是2012年人口与住房普查准备的抽样框架。
样本量
1990年开始，除东北部地区外，每季度样本量为2,000个住房单元，1996年样本量增至每季度4,000个住房单元，并持续至今。1992年、1997年和2004年，每年选取20,000个住房单元的样本，以提供可靠的区县级估计。然而，为了精确提供区县级估计，自2006年至2010年决定使用20,000-25,000个住房单元作为年度样本。2022年选取了25,750个住房单元作为样本。
样本分配
2022年，使用Neymann分配方法，根据失业率的方差，将2,575个一级抽样单元（PSU）分配给每个区和每个部门（城市、乡村和种植园）。然后，每个区的分配样本平均分配到12个月。
一级抽样单元（PSU）的选择
一级抽样单元是人口与住房普查-2012中准备的普查区块。
二级抽样单元（SSU）的选择
二级抽样单元是在选定的2,575个一级抽样单元（普查区块）中的住房单元。从每个选定的一级抽样单元中，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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计算机辅助个人访谈 [capi]
研究工具
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调查问卷和CAPI程序
当前调查的概念和方法与最初引入的非常相似。然而，在2006年、2013年、2015年、2016年、2017年和2018年，为了提高数据的准确性和实用性，已对某些方面进行了调整。
问卷附于最终报告中。
数据清理操作
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数据通过以下两步进行处理：
1. 记录员将数据输入CAPI系统。
2. 通过各地区的办公室将数据发送至总部。
使用计算机编辑检查程序来捕捉数据文件中的异常观测值。
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。年度报告附于外部资源部分。
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。年度报告附于外部资源部分。