Survey of Living Conditions and Household Budgets 2005-2006 - St. Lucia

Abstract
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The main objective of the survey is to assess the living conditions of the population of St Lucia and to develop a national basket of goods and services for updating of the consumer price index. The survey contains information on housing conditions, cost of accomodation, cost of rountine household maintenance and repairs, annual cost of purching furniture and furishings for the household, cost of vehicle operations, where items are purchased, migration, anthopometric data, demographics, health, education, labour force, crime, clothing expenses, health expenses and income.

Geographic coverage
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National coverage, all Administrative Districts

Analysis unit
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Individuals, households, spenders (defined as persons age 18 and over and employed)

Universe
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The survey covered all de jure household members (usual residents), the fertility section of the person questionnaire covers all women aged 15-49 years resident in the household, the anthropometic section covers all children aged 0-4 years (under age 5) resident in the household and the expenditure data covers all spenders 18 year of age and over and employed.

Kind of data
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Sample survey data [ssd]

Sampling procedure
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1302 households were selected for the sample. Of these, 1222 were occupied households and were successfully interviewed for a response rate of 94%. Within these households, 4319 persons were successfully interviewed (response rate 93.9%).

The stratification is done by district and is based on the percentage of agricultural workers for rural EDs (Enumeration Districts) and percentage of professional workers for urban EDs. There are two stages of selection, firstly the selection of EDs in all Districts then the selection of households using a random start and systematic selection proceedure. Households which refused or could not be contacted were replaced.

The sample frame used was based on the May 2001 Census and the sample size was 2.78% of the frame. Stratification was done on the district (District) and then by ED (Enumeration District) and finally by household (hhno).

Sampling deviation
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There was no deviation from the sample design.

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

Research instrument
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Four Questionnaires were administered to each household; each household was visited at least three times. On the first visit the Household and the Individual Questionnaires were administered. At the start of the first week one Daily Diary of Expenditure Questionnaire for the household and a Memory Jogger notebook for each spender in the household was left with household respondents to record all purchases over the next one-week period. The 2nd visit to the household occurred at the end of the first week at which point the Daily Diary completed by the household for the first week and all memory jogger notebooks were collected and the second week’s Diary and memory joggers were left. The 3rd visit to the household occurred at the end of the second week at which point the Daily Diary completed by the household and memory joggers from each spender for the second week was collected.

THE HOUSEHOLD EXPENDITURE SURVEY QUESTIONNAIRES

There are four (4) questionnaires to be administered in the survey.
1. S.L.C.H.B Household Questionnaire
2. S.L.C.H.B Individual/Person Questionnaire
3. S.L.C.H.B Memory Jogger
4. S.L.C.H.B Household Daily Diary of Expenditure

THE STRUCTURE OF THE QUESTIONNAIRES
Household Questionnaire
Front Page: Identification and control
Section 1: Housing conditions and household assets
Section 2 Part 1,2,3: Expenditure on accommodation, owned and rented
Section 2 Part 4: Expenditure on accommodation - Repair and maintenance of dwelling
Section 3 : Major types of household expenses
Section 4 Part 1: Furniture, furnishings and household equipment
Section 4 Part 2: Repairs and servicing of household articles
Section 5 : Agriculture products produced and consumed at home
Section 6: Transportation
Section 7: Regularity of purchase and main type of outlet
Section 8: For Heads of households only (Status of previous household head)
Section 9: To be completed for all former household members living away from the household in the past five years
Section 10: For children under the age of five years

Person Questionnaire
Control: Identification and control
Section 1: Characteristics – For all persons
Section 2: Migration – For all persons
Section 3: Health – For all persons
Section 4: Education – For all persons
Section 5: Employment – For person 15 years and over
Section 6: Marital, union status and fertility for persons – For persons over the age of 15 years
Section 7: Crime
Section 8: Clothing and footwear consumed in the last 3 months
Section 9: Other expenses
Section 10: Other Disbursements
Section 11: Income

Memory Jogger
Front Page: Identification and control
Daily Record: Pages 1 to 7
Back Page: Notes on the method of completing the daily diary

Daily Diary of Expenditure
Front Page: Identification and control
Pages 2 – 3: Notes on the method of completing the daily diary
Example: Example of method of completion (Pages 4, 5, 6)
Day One: Daily expenditures (Pages 7, 8, 9, 10)
Day Two: Daily expenditures (Pages 11, 12, 13, 14)
Day Three: Daily expenditures (Pages 15, 16, 17, 18)
Day Four: Daily expenditures (Pages 19, 20, 21, 22)
Day Five: Daily expenditures (Pages 23, 24, 25, 26)
Day Six: Daily expenditures (Pages 27, 28, 29, 30)
Day Seven: Daily expenditures (Pages 31, 32, 33, 34)

Cleaning operations
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Data editing took place at a number of stages throughout the processing, including:
a) Office editing and coding
b) During data capture which involved the scanning and verification of the data
c) Structure checking and completeness was done in SQL 2000 Enterprise Server
d) Secondary editing was done in SPSS
e) Structural checking of SPSS data files
Detailed documentation of the editing of data can be found in the "Data Editing and coding guidelines" document provided as an external resource.

Response rate
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Response rates by Administrative District follow:
Castries Urban: 98.5%
Castries Rural: 94.8%
Anse-La-raye/Canaries: 98.4%
Soufriere: 86.7%
Choiseul: 100.0%
Laborie: 94.5%
Vieuxfort: 89.1%
Micoud: 88.1%
Dennery: 97.0%
GrosIslet: 92.4%

Sampling error estimates
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Estimates from a sample survey are affected by two types of errors: 1) non-sampling errors and 2) sampling errors. Non-sampling errors are the results of mistakes made in the implementation of data collection and data processing. Numerous efforts were made during implementation of the 2005-2006 MICS to minimize this type of error, however, non-sampling errors are impossible to avoid and difficult to evaluate statistically.

If the sample of respondents had been a simple random sample, it would have been possible to use straightforward formulae for calculating sampling errors. However, the SLC/HBS 2005-2006 sample is the result of a multi-stage stratified design, and consequently needs to use more complex formulae. The CENVAR module of the IMPS 4.1 has been used to calculate sampling errors for the SLC/HBS 2005-2006. This module uses the Taylor linearization method of variance estimation for survey estimates that are means or proportions.

Sampling errors have been calculated for a select set of statistics (all of which are proportions due to the limitations of the Taylor linearization method) for the national sample, urban and rural areas, and for each of the five regions. For each statistic, the estimate, its standard error, the coefficient of variation (or relative error -- the ratio between the standard error and the estimate), the design effect, and the square root design effect (DEFT -- the ratio between the standard error using the given sample design and the standard error that would result if a simple random sample had been used), as well as the 95 percent confidence intervals (+/-2 standard errors).

Details of the sampling errors are presented in the sampling errors appendix to the report and in the sampling errors table presented in the external resources.

Data appraisal
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A series of data quality tables and graphs are available to review the quality of the data and include the following:
- Age distribution of the household population
- Age distribution of eligible children and children for whom the mother or caretaker was interviewed
- Age distribution of children under age 5 by 3 month groups
- Presence of mother in the household and person interviewed for the under 5 questionnaire
- School attendance by single year age
- Sex ratio at birth among children ever born, surviving and dead by age of respondent
- Distribution of women by time since last birth
- Scatter plot of weight by height, weight by age and height by age
- Graph of male and female population by single years of age
- Population pyramid

The results of each of these data quality tables are shown in the appendix of the final report and are also given in the external resources section.

The general rule for presentation of missing data in the final report tabulations is that a column is presented for missing data if the percentage of cases with missing data is 1% or more. Cases with missing data on the background characteristics (e.g. education) are included in the tables, but the missing data rows are suppressed and noted at the bottom of the tables in the report (not in the SPSS output, however).

摘要
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本调查的主要目的是评估圣卢西亚人口的生活状况，并制定一套国民商品和服务篮，以更新消费者价格指数。调查内容包括住房条件、住宿成本、日常家庭维护和修理成本、购买家具和家居用品的年度成本、车辆运营成本、购买地点、移民、人体测量数据、人口统计学、健康、教育、劳动力、犯罪、服装支出、医疗支出和收入。
地理覆盖范围
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全国覆盖，所有行政区域
分析单元
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个人、家庭、消费者（定义为18岁及以上且就业的人员）
总体
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调查涵盖了所有法定家庭成员（常住居民），人口问卷的生育部分涵盖了所有居住在家庭中的15-49岁女性，人体测量部分涵盖了所有居住在家庭中的0-4岁儿童（5岁以下），支出数据涵盖了所有18岁及以上且就业的消费者。
数据类型
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样本调查数据 [ssd]
抽样程序
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从样本中选取了1302个家庭。其中，1222个家庭被成功占用并接受了调查，响应率为94%。在这些家庭中，4319人被成功采访（响应率93.9%）。
分层是根据地区进行的，基于农村ED（普查区）的农业工人百分比和城市ED的专业工人百分比。有两个选择阶段，首先是在所有地区选择ED，然后使用随机起始和系统选择程序选择家庭。拒绝或无法联系的家庭被替换。
所使用的样本框架基于2001年5月的普查，样本量占框架的2.78%。分层是在地区（地区）进行的，然后是ED（普查区），最后是家庭（hhno）。
抽样偏差
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没有偏离样本设计。
数据收集方式
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面对面 [f2f]
研究工具
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向每个家庭发放了四份问卷；每个家庭至少被访问三次。第一次访问时，发放了家庭和个人问卷。在一周的开始，向家庭受访者留下了一份家庭支出日记问卷和每名家庭消费者的记忆 jogger笔记本，以记录接下来一周期间的所有购买。第一次访问发生在第一周结束时，此时家庭完成了第一周的日记，并收集了所有记忆 jogger 笔记本，并留下了第二周的日记和记忆 jogger。第三次访问发生在第二周结束时，此时收集了家庭完成的日记和每个消费者第二周的日记。
家庭支出调查问卷
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调查中有四个（4）问卷需要发放。
1. S.L.C.H.B 家庭问卷
2. S.L.C.H.B 个人/人员问卷
3. S.L.C.H.B 记忆 jogger
4. S.L.C.H.B 家庭每日支出日记
问卷的结构
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家庭问卷
封面页：识别和控制
第1节：住房条件和家庭资产
第2部分1、2、3：住宿支出，自有和租赁
第2部分4：住宿支出 - 住宅的维修和维护
第3节：主要家庭费用类型
第4部分1：家具、家居用品和家庭设备
第4部分2：家庭用品的维修和保养
第5节：在家生产和消费的农业产品
第6节：交通
第7节：购买频率和主要销售点类型
第8节：仅限于家庭负责人（前家庭负责人的状态）
第9节：过去五年内远离家庭的以前家庭成员需填写
第10节：5岁以下儿童
个人问卷
控制：识别和控制
第1节：特征 - 所有人员
第2节：迁移 - 所有人员
第3节：健康 - 所有人员
第4节：教育 - 所有人员
第5节：就业 - 15岁及以上的人员
第6节：婚姻、伴侣状态和生育率 - 15岁及以上的人员
第7节：犯罪
第8节：过去3个月内消费的服装和鞋类
第9节：其他费用
第10节：其他支出
第11节：收入
记忆 jogger
封面页：识别和控制
每日记录：第1至7页
背面：每日日记的完成方法说明
每日支出日记
封面页：识别和控制
第2-3页：每日日记的完成方法说明
示例：完成方法示例（第4、5、6页）
第一天：每日支出（第7、8、9、10页）
第二天：每日支出（第11、12、13、14页）
第三天：每日支出（第15、16、17、18页）
第四天：每日支出（第19、20、21、22页）
第五天：每日支出（第23、24、25、26页）
第六天：每日支出（第27、28、29、30页）
第七天：每日支出（第31、32、33、34页）
数据清理操作
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数据编辑在处理过程中的多个阶段进行，包括：
a) 办公室编辑和编码
b) 在数据捕获过程中，涉及数据的扫描和验证
c) 在 SQL 2000 企业服务器上执行结构检查和完整性

d) 在 SPSS 中进行二级编辑
e) SPSS 数据文件的结构检查
有关数据编辑的详细文档可在“数据编辑和编码指南”文档中找到，该文档作为外部资源提供。
响应率
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以下是按行政区域划分的响应率：
Castries Urban：98.5%
Castries Rural：94.8%
Anse-La-raye/Canaries：98.4%
Soufriere：86.7%
Choiseul：100.0%
Laborie：94.5%
Vieuxfort：89.1%
Micoud：88.1%
Dennery：97.0%
GrosIslet：92.4%
抽样误差估计
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样本调查的估计受到两种类型误差的影响：1) 非抽样误差和2) 抽样误差。非抽样误差是数据收集和处理实施中出现的错误的结果。在2005-2006年MICS的实施过程中，做出了大量努力来最小化此类错误，然而，非抽样误差是无法避免且难以进行统计评估的。
如果受访者的样本是一个简单随机样本，就可以使用简单的公式来计算抽样误差。然而，SLC/HBS 2005-2006的样本是多层次分层设计的产物，因此需要使用更复杂的公式。已使用IMPS 4.1的CENVAR模块来计算SLC/HBS 2005-2006的抽样误差。此模块使用泰勒线性化方法进行方差估计，用于调查估计均值或比例。
已为选定的一组统计数据（所有这些数据都是比例，由于泰勒线性化方法的限制）计算了抽样误差，包括全国样本、城市和农村地区，以及每个五个地区。对于每个统计数据，估计值、其标准误差、变异系数（或相对误差 - 标准误差与估计值之比）、设计效应以及平方根设计效应（DEFT - 使用给定样本设计时的标准误差与如果使用简单随机样本将产生的标准误差之比），以及95%置信区间（±2个标准误差）。
抽样误差的详细信息可在报告的抽样误差附录和外部资源中提供的抽样误差表中找到。
数据评估
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有一系列数据质量表格和图表可用于审查数据质量，包括以下内容：
- 家庭人口的年龄分布
- 有资格的儿童和接受母亲或照顾者访谈的儿童的年龄分布
- 5岁以下儿童的3个月年龄组分布
- 家庭中母亲的存在以及接受5岁以下问卷的人员
- 单一年龄的学校出席率
- 孩子出生时的性别比，根据受访者的年龄
- 女性的分娩时间分布
- 体重与身高、体重与年龄以及身高与年龄的散点图
- 按单一年龄划分的男性和女性人口图
- 人口金字塔

每个这些数据质量表格的结果都显示在最终报告的附录中，也在外部资源部分提供。

在最终报告的表格中呈现缺失数据的通用规则是，如果缺失数据的案例百分比达到1%或更多，则应呈现缺失数据列。具有背景特征（例如教育）缺失数据的案例包含在表格中，但缺失数据行被抑制，并在报告的底部注明（但不在SPSS输出中）。