Labour Force Survey - 2012 - 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 2012.

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 19,420 housing units to be enumerated in the survey. The master sampling frame prepared for 2011 - Census of Population and Housing was used as the sampling frame for the selection of sample for the Labour Force Survey 2012.

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 2012, the annual sample of 19,420 housing units was selected.

2.3 Sample Allocation

Allocation of 19,420 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 2012.

Table 1: Sample allocation by District - 2012.

District Housing District Housing
Units Units
Total 19,420 Mullaitivu 360
Colombo 1710 Kilinochchi 360
Gampaha 1670 Batticaloa 540
Kalutara 940 Ampara 610
Kandy 1,470 Trncomalee 380
Matale 410 Kurunegala 1 ,530
Nuwara-eliya 540 Puttalam 610
Galle 1,140 Anuradhapura 630
Matara 1,010 Polonnaruwa 430
Hambantota 770 Badulla 730
Jaffna 690 Moneragala 360
Mannar 360 Ratnapura 970
Vavuniya 390 Kegalle 810

2.4 Selection of Primary Sampling Units (PSU)

Primary sampling units are the census blocks prepared for the Census of Population and Housing - 20011. 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 19,420 primary sampling units was selected from the sampling frame for the 2012 labour force survey.

2.5 Selection of Secondary Sampling Units (SSU)

Secondary Sampling Units are the housing units in the selected 19,420 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]

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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政府就业创造政策的实施情况需在极短的时间间隔内监控，因此，斯里兰卡劳动力调查被设计为季度性调查，用以衡量斯里兰卡就业、失业及劳动力水平及其趋势。自1990年第一季度起，该调查每年（在大多数年份）重复四次。调查的主要目标如下：
- 研究经济活跃/非活跃人口。
- 分析按主要产业分组及就业状态划分的就业情况。
- 确定按教育水平和年龄组划分的失业率。
- 研究非正规部门就业情况。
- 确定按部门和主要产业划分的就业不足率。
2006年1月，对调查计划进行了重大改进，包括识字率、家庭经济活动、非正规部门就业、就业不足等方面。2012年，调查覆盖了斯里兰卡的所有25个区。
地理覆盖范围
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全国。
分析单元
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年龄在10岁或以上的总人口。
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，选取19,420个住房单元作为调查的样本。为2011年人口和住房普查准备的母抽样框架被用作2012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，季度调查一直在进行，除北部和东部地区外，每个季度使用2,000个住房单元的样本。1996年，样本量增加至每个季度4,000个住房单元，并持续至今。然而，在1992年和1997年，选取了20,000个住房单元的年度样本，以提供可靠的区级估计。2004年再次选取了20,000个住房单元进行调查。然而，为了精确地提供区级估计，决定使用20,000至25,000个住房单元作为年度样本。因此，在2012年，选取了19,420个住房单元的年度样本。
2.3 样本分配
使用Neymann分配程序对区划和部门分配了19,420个初级抽样单元（PSU）。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个月份中均等分配。表1给出了2012年的样本分布情况。
表1：按区分配的样本 - 2012。

区
住房单元

总计
19,420
科伦坡
1,710
甘巴拉
1,670
卡卢塔拉
940
康提
1,470
马塔莱
410
努瓦拉埃利亚
540
加勒
1,140
马塔拉
1,010
汉班托塔
770
贾夫纳
690
曼纳尔
360
瓦武尼亚
390

2.4 初级抽样单元（PSU）的选择
初级抽样单元是为2001年人口和住房普查准备的普查区块。样本框架，即该领域所有普查区块的集合，用于选择初级抽样单元。从抽样框架中选取了19,420个初级抽样单元作为2012年劳动力调查的样本。
2.5 次级抽样单元（SSU）的选择
次级抽样单元是所选19,420个初级抽样单元（区块）中的住房单元。从每个初级抽样单元中选取了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]。
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第2.7节中给出。
年度报告附于外部资源部分。