Household Budget Survey 2006 - Kazakhstan

Abstract
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The Agency of Statistics of the Republic of Kazakhstan has been conducting redesigned annual Household Budget Surveys since 2001. The HBS introduced in 2001, adopted different sample design and data gathering instruments compared to previous household budget surveys. A new probability sample based on a sampling frame from the 1999 Population Census has been used. A stratified multi-stage cluster sample of 12,000 households is drawn. The HBS questionnaires were redesigned to be more suitable and flexible instruments for multi-purpose analysis and poverty monitoring.

Kazakhstan Household Budget Survey covers household and respondents' characteristics, housing, consumption patterns, sources of income, labor force participation and unemployment, as well as access to education and health services. The data is gathered through face-to-face interviews, 7-day expenditure diaries and quarterly expenditure and income diaries.

Geographic coverage
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National coverage

Analysis unit
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- Households,
- Individuals.

Universe
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The universe includes all households residing in either an individual house, part of a house or individual apartment. It excludes households and individuals residing in institutions, and the homeless.

Kind of data
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Sample survey data [ssd]

Sampling procedure
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The sampling of households was created by multi-probabilistic (random) sample. This principle guarantees the independence of the selection of the sample results and avoid deliberate its mistakes. Formation of a sample of households was carried out by the territorial principle-based register (list) of housing facilities, set up following the National Census of the Republic of Kazakhstan. Network representative as to the national and at regional level.

General population was divided into six strata: large, medium and small cities of Almaty, Astana, and the countryside.

- The first stratum includes households of major cities with the number of households over 30 thousand units.
- The second stratum comprises households with medium-sized cities of households over 10 thousand units, but less than 30 thousand.
- The third stratum includes households in small towns and townships with the number of households no more than 10 thousand units.
- The fourth stratum comprises households in Almaty.
- The fifth stratum includes households of the city of Astana.
- The sixth stratum includes households of rural settlements.

The sample size was formed on the basis of the objectives of the survey, the degree of heterogeneity of the population studied in terms of properties and financing.
The sample size for each stratum was determined using the following formula:

Ni
ni =-------*n ,
N
where:

n = 12000
ni - rounded to a multiple of 30,
i = 1, 2, 3, 4, 5, 6.

All cities included in the first stratum, Almaty and Astana were selected with a probability equal to unity. Therefore, in the first stratum sample size of households was determined for each of the following formula:

N1j
n1j =-------* n1,
N1
where:

N1 - all households first stratum,
N1j - the number of households of the j-th first stratum,
n1 - a sample size first stratum,
n1j - a sample size of the j-th first stratum (values rounded to a multiple of 30)

The sample medium, small cities and towns by the method of simple random sampling (PSV) using the software package SPSS. All medium-sized cities that are included in the second stratum, located from west to east in the following order:
1. West Kazakhstan region;
2. Atyrau region;
3. Mangystau;
4. Aktobe region;
5. Kyzylorda region;
6. Kostanay;
7. South Kazakhstan region;
8. Aqmola;
9. Karaganda region;
10. North Kazakhstan region;
11. Zhambyl;
12. Pavlodar region;
13. Almaty region;
14. East Kazakhstan region

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

Research instrument
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The survey instrument consists of the following parts:

1) The main interview designed to list all household members for demographic characteristics of households, data on housing conditions, ownership of land and appointment of the next visit. Prior to that, a household receives a letter about the upcoming survey, which indicates the date and time of first visit.

2) Four quarterly interview in April, July and October of this year and in January of next year. Each quarterly interview covers the three previous months and collects information on major expenses and income. At the beginning of the quarter a household receives a register of quarterly expenses, which the interviewer uses an interview during the quarter.

3) Diary account of daily expenses, filled with household within a month of each quarter in accordance with the scheme of rotating groups.

摘要
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哈萨克斯坦共和国统计局自2001年起开展重新设计的年度家庭预算调查。2001年引入的家庭预算调查相较于之前的家庭预算调查，采用了不同的抽样设计和数据收集工具。新引入的概率样本基于1999年人口普查的抽样框架。抽取了一个由12,000户家庭组成的分层多阶段聚类样本。家庭预算调查问卷经过重新设计，以更适宜且灵活的仪器进行多目的分析和贫困监测。
哈萨克斯坦家庭预算调查涵盖了家庭和受访者的特征、住房、消费模式、收入来源、劳动力参与和失业状况，以及教育和服务健康服务的可及性。数据通过面对面访谈、7日支出日记和季度支出与收入日记收集。
地理覆盖范围
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全国覆盖
分析单位
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- 家庭,
- 个人。
总体
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总体包括居住在独立房屋、房屋的一部分或独立公寓中的所有家庭。不包括居住在机构中的家庭和个人，以及无家可归者。
数据类型
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样本调查数据 [ssd]
抽样程序
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家庭的抽样是通过多概率（随机）样本进行的。这一原则保证了样本结果选择的独立性，并避免了故意错误。家庭的样本是通过基于哈萨克斯坦共和国国家普查后建立的住宅设施的地域原则注册（列表）形成的。网络代表在国家及地区层面。
总人口被划分为六个层级：阿拉木图、阿斯塔纳的大、中、小城市和乡村。
- 第一层级包括拥有超过30,000个家庭单位的中心城市家庭。
- 第二层级包括拥有超过10,000个家庭但不足30,000个家庭的中小型城市家庭。
- 第三层级包括家庭数量不超过10,000个的小城镇和城镇家庭。
- 第四层级包括阿拉木图的家庭。
- 第五层级包括阿斯塔纳市的家庭。
- 第六层级包括乡村定居点的家庭。
样本量是在调查目标、研究人口在属性和资金方面的异质性程度的基础上形成的。
每个层级的样本量使用以下公式确定：

Ni
ni =-------*n ,
N
其中：
n = 12000
ni - 四舍五入到30的倍数，
i = 1, 2, 3, 4, 5, 6。
所有包含在第一层级的城市，阿拉木图和阿斯塔纳，以等概率被选中。因此，第一层级的家庭样本量是根据以下公式确定的：

N1j
n1j =-------* n1,
N1
其中：
N1 - 第一层级的所有家庭，
N1j - 第j个第一层级的家庭数量，
n1 - 第一层级的样本量，
n1j - 第j个第一层级的样本量（四舍五入到30的倍数）。
中等、小型城市和城镇通过SPSS软件包的简单随机抽样（PSV）方法进行抽样。所有包含在第二层级的中小型城市，按从西向东的以下顺序排列：
1. 西哈萨克斯坦地区；
2. 阿特劳地区；
3. 马ング什套；
4. 阿克托别地区；
5. 克孜勒奥尔达地区；
6. 科斯塔奈；
7. 南哈萨克斯坦地区；
8. 阿克莫拉；
9. 卡拉干达地区；
10. 北哈萨克斯坦地区；
11. 贾姆拜尔；
12. 帕夫洛达尔地区；
13. 阿拉木图地区；
14. 东哈萨克斯坦地区。
数据收集方式
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面对面 [f2f]
研究工具
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调查工具由以下部分组成：
1) 主要访谈，旨在列出所有家庭成员的统计数据，包括家庭住房条件、土地所有权以及下一次访问的预约。在此之前，家庭将收到一封信，告知即将进行的调查日期和时间。
2) 本年度的四月、七月、十月以及次年的一月进行四次季度访谈。每次季度访谈涵盖前三个月的主要支出和收入信息。在季度开始时，家庭将收到季度支出登记表，访谈员将在季度访谈中使用该登记表。
3) 每个季度末的一个月内，家庭需填写日常支出日记，按照轮换组的方案进行。