Labour Force Survey - 2009 - 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 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

Geographic coverage
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National coverage. [Excluding the Northern and the Eastern Provinces] This survey covered persons living in housing units only and, it excludes the institutional population.

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 22,500 housing units to be enumerated in the survey. The master sampling frame prepared for 2001 Census of Population and Housing was used as the sampling frame for the selection of sample for the labour force survey 2009.This main frame was updated after the Tsunami incident in 2007 using quick count method. 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 estimates of 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. As such, in 2009, the annual sample of 22,500 housing units were selected. 2.3 Sample Allocation In 2008, 2,250 Primary Sampling Units (PSU's) are allocated to each district and each sector by using the Neymann Allocation method which considers the variance of unemployment rate as usually. The allocated sample for each district then equally distributed among the 12 months. Table 1 gives the sample distributions by district for year 2009. Table 1: Sample allocation by district - 2009 District Housing District Housing Units Units Total 22,500 Mullaitivu 390 Colombo 2,150 Kilinochchi 360 Gampaha 1,920 Batticaloa 560 Kalutara 1,210 Ampara 900 Kandy 1,400 Trincomalee 390 Matale 610 Kurunegala 1,680 Nuwara Eliya 600 Puttalam 840 Galle 1,200 Anuradhapura 960 Matara 970 Polonnaruwa 500 Hambantota 840 Badulla 860 Jaffna 720 Moneragala 550 Mannar 390 Ratnapura 1,160 Vavuniya 390 Kegalle 950 2.4 Selection of Primary Sampling Units (PSU) Primary sampling units are the census blocks prepared for the Census of Population and Housing - 2001. The sample frame, which was updated after Tsunami has been used for the selection of primary sampling units. 2.5 Selection of Secondary Sampling Units (SSU) Secondary Sampling Units are the housing units in the selected 2,250 primary sampling units (census blocks). From each primary sampling unit 10 housing units (SSU) are selected for the survey using random sampling method.

Sampling deviation
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In 2008, the field work of the survey for the year 2009 was done in all twelve months in 2009.Even though it was planned to conduct the labour force survey in Northern and Eastern provinces, the survey could not be conducted properly in Northern province due to the prevailing conditions. In year 2009 the survey was carried out in Eastern province successfully as in 2008.Therefore, this report is based on an annual sample of 20,260 housing units, excluding only Northern province provoding national, provincial and district level estimates with a stipulated standard errors of labour force characteristics as reported in the relevant reference periods of each 12 months of the year 2009. This survey covers persons living in housing units only and, it excludes the institutional population.

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 of the survey in 1990. However, some changes have been made over the years to improve the accuracy and usefulness of the data. Beginning in 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 technical assistance provided by the 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 of the questionnaire has been using since first quarter, 2006.

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监测需要以极短的时间间隔获取就业/失业数据。为了满足这一需求，斯里兰卡劳动力调查被设计为按季度进行的调查，以衡量斯里兰卡就业、失业和劳动力水平及趋势。因此，自1990年第一季度起，该调查每年重复四次。调查的关键目标包括：研究经济活跃/非活跃人口；分析按主要行业组和就业状况划分的就业情况；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；以及确定按部门和主要行业划分的过剩就业率。
地理覆盖范围
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全国覆盖。[不包括北部和东部省份] 本调查仅覆盖居住在住宅单元中的人员，并排除了机构人口。
分析单位
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10岁及以上的总人口
总体
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居住在斯里兰卡非机构家庭的10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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2.1 抽样计划和抽样框架 采用两阶段分层抽样程序，选择22,500个住宅单元作为调查的样本。为2001年人口和住房普查准备的抽样框架被用作2009年劳动力调查样本选择的抽样框架。该主要框架在2007年海啸事件后使用快速计数法进行了更新。
2.2 样本量 自1990年以来，季度调查使用每个季度2,000个住宅单元的样本在其他地区进行，1996年样本量增加到每个季度4,000个住宅单元，并持续至今。然而，在1992年和1997年，选择了20,000个住宅单元的年度样本，以提供可靠的地级估计。2004年再次选择了20,000个住宅单元进行调查。然而，为了精确提供地级估计，决定从2006年起使用20,000-25,000个住宅单元作为年度样本。因此，在2009年，选择了22,500个住宅单元的年度样本。
2.3 样本分配 2008年，每个区和每个行业分配了2,250个基本抽样单位（PSU）。每个区的分配样本随后在12个月中平均分配。表1给出了2009年的按地区样本分布。
2.4 基本抽样单位的选取 基本抽样单位是为2001年人口和住房普查准备的普查区。
2.5 次级抽样单位的选取 次级抽样单位是选定的2,250个基本抽样单位（普查区）中的住宅单元。从每个基本抽样单位中随机选择10个住宅单元（SSU）进行调查。
抽样偏差
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在2008年，2009年调查的实地工作在2009年的12个月中完成。尽管计划在北部和东部省份进行劳动力调查，但由于当时的条件，北部省份的调查无法顺利进行。在2009年，东部省份的调查成功地进行了，如同2008年。因此，本报告基于20,260个住宅单元的年度样本，仅排除北部省份，提供国家、省级和地级估计，并规定了劳动力特征的标准误差，如每年12个月的相关参考期间所报告的那样。
数据收集方式
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面对面 [f2f]
研究工具
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调查日程表 当前的调查概念和方法与1990年调查开始时引入的非常相似。然而，多年来进行了一些更改，以提高数据的准确性和有用性。自2006年1月开始，对劳动力调查日程表进行了重大改进，以满足用户的需求，并为规划目的提供更多信息。这是在与亚洲及太平洋经济社会委员会（ESCAP）顾问的技术协助下，对LFS日程表进行仔细审查后进行的。修订的重点放在了识字、家庭经济活动、非正规部门就业和过剩就业等方面。自2006年第一季度起，一直在使用修订后的问卷。
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。