Labour Force Survey 2013 - Sri Lanka

Abstract
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The employment/unemployment data are required at very short intervals to monitor the program made in the employment generating policies of the government. To satisfy this need, Sri Lanka Labour Force Survey was designed as a quarterly basis survey to measure the levels and trends of employment, unemployment and labour force in Sri Lanka. Thus the survey is repeated four times each year (in most years) since the first quarter of 1990.

Key objectives of the survey
- To study the economically active / inactive population.
- To analyze employment by major industry group and employment status.
- To determine unemployment rates by level of education and by age group
- To study the informal sector employment.
- To determine the underemployment rates by sector and by major industries

In January 2006, significant improvements have been made to the survey schedule in such aspects as literacy, household economic activities, informal sector employment, underemployment etc. The survey covered all 25 districts in 2013.

Geographic coverage
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National coverage.

Analysis unit
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Individuals from the population aged 10 years or more

Universe
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Working age population (10 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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2.1 Sampling plan and the sampling frame

A two stage stratified sampling procedure was adopted to select a sample of 25,000 housing units to be enumerated in the survey. The master sampling frame prepared for 2012 - Census of Population and Housing was used as the sampling frame for the selection of sample for the Labour Force Survey 2013.

2.2 Sample size

The quarterly survey was conducted since 1990 using a sample of 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. However, in 1992 and 1997, an annual sample of 20,000 housing units was selected to give reliable district level estimates. 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. As such, in 2013, the annual sample of 25,000 housing units was selected.

2.3 Sample Allocation

Allocation of 2,500 Primary Sampling Units (PSU's) for the Districts and sectors were done using the Neymann Allocation procedure. In other words, the allocation of PSU's to strata was disproportionate, designed to produce estimates of acceptable reliability for each area for which separate estimates were needed. Then The District sample was equally distributed among the 12 monthly rounds. Table 1 gives the sample distributions by District for year 2013.

Table 1: Sample allocation by District - 2013.

District Housing District Housing
Units Units
Total 25,000 Mullaitivu 360
Colombo 2,270 Kilinochchi 360
Gampaha 2,590 Batticaloa 860
Kalutara 1,250 Ampara 1,010
Kandy 2,150 Trncomalee 500
Matale 570 Kurunegala 2,100
Nuwara-eliya 590 Puttalam 680
Galle 1,300 Anuradhapura 670
Matara 1,200 Polonnaruwa 530
Hambantota 1,000 Badulla 890
Jaffna 600 Moneragala 460
Mannar 360 Ratnapura 1,180
Vavuniya 360 Kegalle 1,160

2.4 Selection of Primary Sampling Units (PSU)

Primary sampling units are the census blocks prepared for the Census of Population and Housing - 2012. 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 2,500 primary sampling units was selected from the sampling frame for the 2013 labour force survey.

2.5 Selection of Secondary Sampling Units (SSU)

Secondary Sampling Units are the housing units in the selected 2,500 primary sampling units (census blocks). From each primary sampling unit 10 housing units (SSU) were selected for the survey.

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

Research instrument
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In the beginning of January 2006, some significant improvements were made to the labour force survey schedule in order to fulfill the requirements of it's users and also to provide additional information for the planning purposes. This was
done after carefully reviewing of the LFS schedule with the Assistance of Economic and Social Commission for Asia and the Pacific (ESCAP) Adviser. The revision was made focusing on literacy, household economic activities, informal
sector employment and underemployment etc. This revised version was introduced for the survey conducted in 2006 first quarter, and it will be used in future as well.

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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为监控政府就业创造政策实施效果，需在极短的时间间隔内获取就业/失业数据。为此，斯里兰卡劳动力调查被设计为一项季度性调查，用以衡量斯里兰卡就业、失业及劳动力水平。因此，自1990年第一季度起，该调查每年（大多数年份）重复四次。

调查的关键目标
- 研究经济活跃/非活跃人口。
- 分析主要行业分组和就业状态下的就业情况。
- 根据教育水平和年龄组确定失业率。
- 研究非正规部门就业。
- 根据部门和主要行业确定过剩就业率。

2006年1月，对调查日程进行了重大改进，包括识字、家庭经济活动、非正规部门就业、过剩就业等方面。2013年，调查覆盖了全国25个区。

地理覆盖范围
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全国。

分析单元
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10岁及以上的人口个体

总体
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居住在斯里兰卡非机构家庭中的工作年龄人口（10岁及以上）

数据类型
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样本调查数据 [ssd]

抽样程序
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2.1 抽样计划和抽样框架

采用两阶段分层抽样程序，选择25,000个住房单位作为调查的样本。为2012年人口和住房普查准备的抽样框架被用作2013年劳动力调查样本选择的抽样框架。

2.2 样本量

自1990年以来，季度调查在除北部和东部以外的地区使用每季度2,000个住房单位的样本。1996年，样本量增加到每季度4,000个住房单位，并持续至今。然而，在1992年和1997年，选择了20,000个住房单位的年度样本，以提供可靠的区级估计。2004年再次选择了20,000个住房单位进行调查。然而，为了精确提供区级估计，决定使用20,000-25,000个住房单位作为年度样本。因此，2013年选择了25,000个住房单位的年度样本。

2.3 样本分配

使用Neymann分配程序对区县和部门的2,500个一级抽样单位（PSU）进行分配。换句话说，PSU的分配在层中是不成比例的，旨在为需要单独估计的每个地区产生可接受的可靠性估计。然后，区样本在12个月份中均匀分配。表1给出了2013年按区划分的样本分布。

表1：2013年按区分配的样本。

区县 住房单位

总计 25,000
Colombo 2,270
Gampaha 2,590
Kalutara 1,250
Kandy 2,150
Matale 570
Nuwara-eliya 590
Galle 1,300
Matara 1,200
Hambantota 1,000
Jaffna 600
Mannar 360
Vavuniya 360

2.4 选择一级抽样单位（PSU）

一级抽样单位是为2012年人口和住房普查准备的普查区块。样本框架，即域内所有普查区块的集合，被用于选择一级抽样单位。为2013年劳动力调查从抽样框架中选择了2,500个一级抽样单位。

2.5 选择二级抽样单位（SSU）

二级抽样单位是在选定的2,500个一级抽样单位（普查区块）中的住房单位。从每个一级抽样单位中选择了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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在2006年1月初，为了满足用户的需求并为进一步规划提供额外信息，对劳动力调查日程进行了某些重大改进。这是在亚洲及太平洋经济社会委员会（ESCAP）顾问的协助下，经过仔细审查LFS日程后进行的。修订重点放在识字、家庭经济活动、非正规部门就业和过剩就业等方面。修订后的版本首次用于2006年第一季度进行的调查，并将继续在未来使用。

抽样误差估计
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估计程序见年度报告第2.6节。
年度报告附在外部资源部分。

数据评估
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年度报告第2.7节中给出了非响应调整。
年度报告附在外部资源部分。