Labour Force Survey 2006 - 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

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 has been started only in February for 2006 in the Northern and the Eastern Provinces but sufficient information could not be collected. Therefore the national level estimates were worked out without taking those two Districts into account.

Geographic coverage
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National coverage, excluding the Northern and the Eastern Provinces

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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Sampling Plan and The Sampling Frame
A two stage stratified sampling procedure was adopted to select a sample of 22,000 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 2006.

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 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 2006, the annual sample of 22,000 housing units was selected.

Sample Allocation
Allocation of 2,000 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.

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 is a collection of all census blocks in the domain, was used for the selection of primary sampling units. A sample of 2,200 primary sampling units was selected from the sampling frame for the 2006 labour force survey.

Selection of Secondary Sampling Units (SSU)
Secondary Sampling Units are the housing units in the selected 2,200 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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The 2006 LFS concepts and methods were 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.

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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为确保对政府就业促进政策的实施情况进行实时监控，需在极短的时间间隔内收集就业与失业数据。为此，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、失业及劳动力水平的变化趋势。因此，自1990年第一季度起，该调查每年重复四次。

调查的主要目标
- 研究经济活跃/非活跃人口。
- 分析主要产业组和就业状态下的就业情况。
- 确定不同教育水平和年龄组的失业率。
- 研究非正式部门的就业情况。
- 确定不同行业和部门的就业不足率。

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、非正式部门就业和就业不足等方面。2006年，仅在北部和东部省份的2月启动了调查，但未能收集到足够的信息。因此，在未考虑这两个地区的情况下，进行了全国水平的估计。

地理覆盖范围
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全国范围，不包括北部和东部省份

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
[sd]

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，以选取22,000个住房单元作为调查对象。为2001年人口和住房普查准备的母抽样框架被用作2006年劳动力调查样本选择的抽样框架。

样本量
自1990年以来，季度调查在其他地区使用每个季度2,000个住房单元的样本进行，1996年样本量增至每个季度4,000个住房单元，并持续至今。然而，在1992年和1997年，选定了20,000个住房单元的年度样本，以提供可靠的区级估计。2004年再次选定了20,000个住房单元进行调查。然而，为了精确提供区级估计，决定使用20,000-25,000个住房单元作为年度样本。因此，在2006年，选定了22,000个住房单元的年度样本。

样本分配
使用Neymann分配程序对区县和行业进行了2,000个初级抽样单元（PSU）的分配。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，区级样本在12个月份的轮次中均匀分配。

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。用于选择初级抽样单元的样本框架，即在该领域内所有普查区块的集合。为2006年劳动力调查从样本框架中选出了2,200个初级抽样单元。

次级抽样单元（SSU）的选择
次级抽样单元是在选出的2,200个初级抽样单元（普查区块）中的住房单元。从每个初级抽样单元中选出了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]

研究工具
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2006年劳动力调查的概念和方法与调查开始时的1990年非常相似。然而，多年来为了提高数据的准确性和实用性，进行了一些调整。

在2006年1月初，为了满足用户的需求并为规划目的提供更多信息，对劳动力调查计划进行了重大改进。这是在仔细审查了亚洲及太平洋经济社会委员会（ESCAP）顾问的协助下进行的。修订的重点是识字率、家庭经济活动、非正式部门就业和就业不足等。修订后的版本于2006年第一季度进行调查，并将用于未来的调查。

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。

年度报告附在外部资源部分。

数据评估
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年度报告的2.7节中给出了非响应调整。

年度报告附在外部资源部分。