Labour Force Survey 2019 - 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 2019.

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 2019 25,750 Housing units were selected for the sample.

Sample Allocation
In 2019, 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 as an external resource.

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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国家统计局部（DCS）设计了一项劳动力调查（LFS），以每季度为基础，持续监测斯里兰卡就业、失业和劳动力水平及趋势。该调查自1990年第一季度开始，在USAID的技术援助下启动，并由DCS持续进行。
主要，以下信息可通过该调查获得。
1. 经济活跃或非活跃人口。
2. 按主要产业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。
5. 按部门和主要产业划分的过剩就业率。
6. 斯里兰卡总就业岗位，包括次级就业。
7. 斯里兰卡的非正规就业。
8. 识字率。
9. 计算机素养。
地理覆盖范围
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全国覆盖
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中的15岁及以上的工作年龄人口。
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个住房单位作为调查样本。用于2012年人口和住房普查的抽样框架用于2019年LFS的样本选择。
样本量
1990年初，除东北部以外的地区每季度样本量为2,000个住房单位，1996年样本量增加到每季度4,000个住房单位，并持续至今。1992年、1997年和2004年，每年选取20,000个住房单位作为样本，以提供可靠的区县级估计。然而，为了精确提供区县级估计，决定从2006年到2010年使用20,000-25,000个住房单位作为年度样本。2019年选取了25,750个住房单位作为样本。
样本分配
2019年，每个区和每个部门（城市、农村和种植园）分配了2,575个初级抽样单位（PSU），使用Neymann分配方法，该方法通常考虑失业率的方差。分配给每个区的样本随后在12个月内均等分配。
初级抽样单位的选取
初级抽样单位是人口和住房普查-2012中准备的普查区。
次级抽样单位的选取
次级抽样单位是在选定的2,575个初级抽样单位（普查区）中的住房单位。从每个选定的初级抽样单位中，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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计算机辅助个人访谈 [capi]
研究工具
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调查日程和CAPI程序
当前的调查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，为提高数据的准确性和实用性，进行了一些更改。
问卷作为外部资源附上。
数据清洗操作
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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. 通过每个区的办事处将数据发送到总部。
使用计算机编辑检查程序来捕捉数据文件中的异常观察值。
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。年度报告附在外部资源部分。
数据评估
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非响应调整在年度报告的第2.7节中给出。年度报告附在外部资源部分。