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Survey of Living Conditions 1995 - Azerbaijan

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Abstract --------------------------- Living Standards Measurement Study surveys have been developed by the World Bank to collect the information necessary to measure living standards and evaluate government interventions in the areas of poverty alleviation and social services. The Azerbaijan Survey of Living Conditions (ASLC) applies many of the features of LSMS surveys to provide data for the World Bank Poverty Assessment. Geographic coverage --------------------------- National Analysis unit --------------------------- - Households - Individuals - Community Kind of data --------------------------- Sample survey data [ssd] Sampling procedure --------------------------- Design The methodology that was chosen reflects the purpose of the survey. To balance a desire for a large, representative sample with the expense of a detailed survey instrument, a sample size of 2,016 households was selected. Three separate populations were covered: households in Baku, households outside of Baku and households of Displaced Persons. Within each of those populations, the sample was chosen in such a manner that each household had an equal probability of being selected. At the same time, the logistics of locating the households and conducting the interviews within a specific time frame required that the households be grouped into "work loads" of 12 households each. The size of the workload was determined by the number of interviews that could be carried out in one day by one team of three interviewers and a supervisor. The Azerbaijan Survey of Living Conditions sample design included 408 households in the eleven raions that make up the city of Baku, 1200 households in the population outside of Baku, and 408 households among the registered Internally Displaced Persons residing throughout the country. This results in an oversampling of the Internally Displaced Persons population and an undersampling of the urban population of Baku. In order to use all data to provide nationally representative estimates, weighting factors must be applied to the data to account for the difference between the population and sample distributions. Outside of Baku The most recent data on population came from the 1989 census, the most recent data on number of households was reported in 1994 by the National Statistical Committee. The country is divided into towns, villages of the town type, and villages. Every household is located in one of those three types of population points. A list prepared by the National Statistical Committee contains just over 4,250 of these population points. To choose the sample outside of Baku, Baku was excluded from this list as were all the population points located in raions of the country currently occupied (Agdam, Xankendi, Xodjali, Xodjvendi, Susha, Kubatli, Zangelan, Kelbadjar, Lachin, Fizuli and Djebrali). The remainder of the country included 3453 population points. Information on the number of households was not available for all population points, specifically, "villages of the town type" and cities did not have this information. Average household size was calculated for those points that had both population and the number of households and this number was used to impute the number of households for those population points where it was missing. Average household size was 4.25 which is smaller than expected but reflects the fact that numerator is a 1989 statistic and the denominator is from 1994. First stage of sampling: Using the list of actual and estimated number of households for each population point, 100 workloads were spread across the population points in the following manner: 1. the sampling interval, i, was calculated to be the total number of households outside of Baku divided by 100, 2. the random start, s, was calculated by taking the integer portion of [random number * i + 1], 3. the population point containing the sth household, the (s+i)th household, the (s+2i)th household, etc. were then selected. 4. in the event that more than one interval landed on the same population point, multiple workloads of 12 households were surveyed in that population point. In this manner 100 workloads were distributed in 91 population points. Second stage of sampling: In order to select the households within the selected population points, household lists maintained by the administrative office of each Selsoviet were used. Selsoviets are administrative units that cover from one to ten population points. In the population points covered by a single group of 12 households, 16 dwellings were selected--12 to be interviewed and 4 to be used as replacements if necessary. The sampling interval used was the total number of households on the list divided by 16. Each population point had been assigned a randomly generated number with which to calculate a starting point. In population points with more that one group of 12 households, 16 households were selected for each workload and the sampling interval was number of households divided by 16 multiplied by the number of workloads. It is possible that a second household with separate finances could occupy a dwelling that was only listed once in the Selsoviet’s list. If an interviewer discovered more than one family living in a single dwelling, separate questionnaires were to be filled out for both, and a household randomly selected from among the households not yet interviewed on the list for that population point was taken off the list. This replacement of households, opposed to adding households, was adopted because the schedule did not allow time for more than 12 interviews per workload. Baku In February of 1995, SORGU was commissioned to do a random sampling survey in Baku. At that time a list was compiled of 2000 households in Baku. The 2000 households were distributed across the 11 raions of Baku according to each raion’s proportion of the total population. In each raion, the passport office lists were consulted to select the required number of addresses. In each office, the depth of each drawer full of cards was measured, the total length was divided by the number of households to be selected from that raion and cards were then pulled out at those intervals. From each card a specific address in Baku was noted. There is one passport for each dwelling in that raion regardless of the number of separate household/family units occupied the dwelling. The passport lists are, in principle, continuously updated with information from the housing maintenance offices. However, dwellings that are used for business, unoccupied, abandoned or rented to foreigners may remain listed. Furthermore, it is not clear how new privately built housing units would be listed.The 408 households and 92 replacements for this survey were selected by choosing a random number between 1 and 4, starting with that number and then selecting every fifth address from the existing list. Internally Displaced Population The National Statistical Committee prepared a listing of population and number of households of internally displaced persons by raion in July 1995. From that list, 34 workloads of 12 households each were selected from 26 raions and 11 Baku Administrative Regions using with a sampling interval and a random start similar to the method used outside of Baku. Ten workloads were selected in Baku and 24 were selected in 17 raions. As before, some raions received more than one workload. In each raion, the administrative offices for the Ministry of Refugees was consulted to locate the internally displaced persons. Each office should have a list of internally displaced persons by households. An additional level of sampling took place to choose three places and four interviews will be conducted in each place. These places were buildings, towns, or tent camps depending on how the households were listed. Sampling as Implemented In the course of the field work, it was discovered that population lists are not maintained in major urban areas. In Kuba, Xachmas, Devichi, Qaxi, Sheki, Ali Bairamli, Gojai and Agdash, supervisors had to improvise. In some cases passport registration lists were used, as was done in Baku. In other cases electric users lists, gas office books and butter/meat coupon distribution lists were used in order to capture a sample that was as representative as possible. During field work, one population point, Xandar, was not accessible due to security concerns and its proximity to the occupied region. A second population point, Sofukent, was not accessible because of the weather. In both cases, it was not practicable to replace the population points with two other population points randomly selected from the national list. Instead, field teams were instructed to visit the nearest population point of approximately the same size to the chosen population point. The only major disruption to fieldwork occurred in Naxicevan where interviewers were shot at by terrorists, fortunately none was hurt. Mode of data collection --------------------------- Face-to-face [f2f] Research instrument --------------------------- DEVELOPMENT OF QUESTIONNAIRES A questionnaire based on the Living Standards Measurement Study surveys was adapted for use in Azerbaijan. Significant reductions in the number of questions reflected the need to conduct the survey in a short period of time and the more limited scope of a poverty assessment as compared to a full-blown government policy analysis. Questionnaire development was done using the Russian language version. The finalized versions were translated into Azeri by SORGU personnel. A special version of the questionnaire with both Russian and English was prepared for use by data analysts. DESCRIPTION OF QUESTIONNAIRES The survey includes questionnaires at both the household and population point (community) levels. Population point is an administrative designation that can be a village, a "village of the town type" or a town. All households in the country belong to one population point. First stage sampling was based on population points and second stage sampling was based on the household lists in selected population points. The population point served as the community in the ASLC. Both questionnaires reflect the content and methodology used in many LSMS surveys. The household questionnaire, was abridged significantly to conform to the time frame and purpose of the survey. LSMS surveys are often designed to facilitate the analysis of the impact of a broad range of government policies on households. The Poverty Assessment required an assessment of economic well-being of each household and several broad measures of employment, education, health, housing and other areas of household activity. The scope of questions asked in the ASLC was much narrower than for a standard LSMS especially in the field of economic activities. It covers all of the topics covered in most LSMS surveys but contains far fewer questions, and therefore, less detail. The household questionnaire collects information at the individual and household level on all aspects of life and activity. The population point questionnaire gathers information common to all households in the sampling unit, thus limiting the length of the household questionnaire. Information collected for the population point includes the type and quality of social services available, predominant economic activities, the distance to regional and national centers, and a price survey. Household Questionnaire The household questionnaire contains nine modules: demographic information, housing, education, health, economic activities, migration, consumption and expenditure, household property and agriculture. The entire questionnaire was administered to the head of the household. Interviews were generally carried out in the main room of the dwelling with other household members present. The household head was invited to consult with other household members but other household members were not interviewed separately. Interviewers were instructed to collect information for all people who usually reside in the dwelling, eat together and share expenses and anyone who was in the dwelling the night before the interview. Section 1, DEMOGRAPHIC INFORMATION, collects the age, sex, relation to household head, marital status of all individuals, and the ID codes of the mother, father, and spouse if any of them are members of the same household so that children and parents can be linked. Section 1B gathers information on the sharing of expenses, length and reason of absence during the last 12 months. This information allows the researcher to vary, somewhat, the definition of household. Section 2, DWELLING, gathers information on the size and type of dwelling, expenditures on rent or mortgage and utilities, source of water, heating, lighting and telephone for the household. These variables both reflect and have an impact on the health and welfare of the household members. Section 3, EDUCATION, gathers information for all individuals 5 years and older on years of schooling and highest degree obtained. For household members who continue to study, information is collected on meals provided at school and reasons for absences of more than four weeks from school. Section 4, HEALTH, collects, for each individual, information on health during the last 4 weeks, person from whom care was received, place where care was administered, and whether or not preventative care was received. Section 5A, EMPLOYMENT AND INCOME, is completed for all household members 7 years and older. Information on sector, position and renumeration for primary and additional work was collected. Part 5B gathers information on search for work, and other economic activities. Part 5C gathers information on additional sources of income for the household including the sale of food products, gifts, pensions and state allowances. Section 6, MIGRATION, gathers information for all individuals 7 years and older on years lived at current residence, previous place of residence, reason for movement to current place, official residential status, and type of work done in previous place of residence. For households that include internally displaced persons (IDPs), Section 6B gathers information on the degree of contact with people from the place of origin and assistance currently received. Section 6C gathers information on the property that these displaced persons had before the displacement, that which they were able to bring with them and that which they lost. Section 6B and 6C represent a substantial departure from standard LSMS survey questionnaires. Section 7, CONSUMPTION AND EXPENDITURES, gathers expenditures in the last month for 17 categories of expenditure in Section 7A and the amount spent, value of home production consumed, and value received as gifts for 20 categories of food products in Section 7B. Section 8, LIST OF DURABLE GOODS, gathers information on durable goods currently owned by the household including year of acquisition and goods sold within the last 12 months by the household. Section 9, AGRICULTURE, covers land ownership and agricultural activities, expenditures and revenues in Section 9A and the number and total value of agricultural assets including animals, vehicles and equipment in Section 9B. Population Point Questionnaire One population point questionnaire was completed for each sampling point. Interviewers were instructed to interview as many community leaders as necessary in order to complete the questionnaire. Section 1, DEMOGRAPHIC INFORMATION, asks for information on population, ethnic composition, and migration. Section 2, INFRASTRUCTURE, collects information on roads, electricity, water, sewer, and garbage collection in the community. There are also questions on the time and expense of a trip to the capital and regional center and on telephones, TV and newspapers in the community. Section 3, ECONOMY, collects information on major economic activities, unemployment, the closing of state enterprises and the degree of independent economic activity. Section 4, DISPLACED PERSONS, gathers information on the presence and living conditions of Internally Displaced Persons. Section 5, EDUCATION, collects information on the proportion of girls and boys in school and the reason for non-attendance, the condition of the schools and whether there have been improvements or deterioration in the last 5 years. Section 6, HEALTH, collects information on health problems of adults, children, and the effectiveness of health services, the place where women most often give birth, the existence of immunization campaigns in the last five years and the availability of drugs. Section 7, AGRICULTURE, collects information on crops, agricultural activity, conditions and prevailing wage rates in the sector. Section 8, INSTITUTIONS, collects information on the institutions in the community and for those that do not exist in the community, the distance and time required to reach the nearest one. Finally, for each sampling point, three observations are made on the prices of 33 common food and household items.

摘要 --------------------------- 世界银行为了收集衡量生活水平并评估政府在减贫和社会服务领域的干预措施所需的信息,开发了生活水平测量研究调查。阿塞拜疆生活水平调查(ASLC)借鉴了LSMS调查的许多特征,以向世界银行贫困评估提供数据。 地理覆盖范围 --------------------------- 全国 分析单位 --------------------------- - 家庭 - 个人 - 社区 数据类型 --------------------------- 样本调查数据 [ssd] 抽样程序 --------------------------- 设计 所选方法反映了调查的目的。为了在大型代表性样本和详细调查工具的昂贵成本之间取得平衡,选择了2,016户家庭的样本量。覆盖了三个不同的群体:巴库的家庭、巴库以外的家庭和流动人口家庭。在每个群体中,样本的选择方式确保每个家庭都有同等的机会被选中。同时,在特定时间段内定位家庭和进行访谈的物流要求将家庭分成每组12户的“工作量”。工作量的规模由一个由三名访谈员和一名督导员组成的团队在一天内可以进行的访谈数量决定。 阿塞拜疆生活水平调查的样本设计包括巴库的11个区中的408户家庭、巴库以外的1,200户家庭以及全国各地的408户流动人口家庭。这导致流动人口群体的过度抽样和巴库城市人口的不足抽样。为了利用所有数据提供全国代表性的估计,必须应用加权因子来补偿人口和样本分布之间的差异。 巴库以外 最新的关于人口的数据来自1989年的普查,关于家庭数量的最新数据由国家统计局在1994年报告。国家分为城镇、城镇类型的村庄和村庄。每个家庭都位于这三种人口点之一。由国家统计局编制的名单中包含了略超过4,250个这样的人口点。 在巴库以外选择样本时,将巴库排除在这个名单之外,以及所有位于国家目前占领的区(阿达明、谢万、霍贾利、霍贾温迪、苏沙、库巴蒂、赞格兰、凯拉巴赫、拉钦、菲祖里和杰布拉利)的人口点。该国的其余部分包括3,453个人口点。 并非所有人口点都有关于家庭数量的信息,特别是“城镇类型的村庄”和城市没有这方面的信息。对于同时拥有人口和家庭数量的点,计算了平均家庭规模,并使用这个数字来推断那些缺失家庭数量的点。平均家庭规模为4.25,低于预期,但反映了分子是1989年的统计数据,分母是1994年的数据。 第一阶段抽样:使用每个人口点的实际和估计的家庭数量列表,将100个工作量分配到人口点,方法如下: 1. 计算抽样间隔,i,为巴库以外的家庭总数除以100, 2. 通过取随机数乘以i加1的整数部分来计算随机起始点,s, 3. 选择包含第st个家庭、第(s+i)个家庭、第(s+2i)个家庭等的人口点。 4. 如果多个间隔落在同一个人口点上,则在那个人口点进行了多个12户家庭的工作量调查。这样,100个工作量分布在91个人口点上。 第二阶段抽样:为了在选定的人口点中选择家庭,使用了每个Selsoviet行政办公室维护的家庭名单。Selsoviets是覆盖一个到十个人口点的行政单位。在由单个12户家庭组成的每个人口点中,选择了16个住所——12个用于访谈,4个作为必要时使用的替代品。使用的抽样间隔是名单上家庭总数除以16。每个人口点都被分配了一个随机生成的数字,用于计算起始点。在一个人口点中有多个12户家庭组的情况下,为每个工作量选择了16个家庭,抽样间隔是家庭数量除以16乘以工作量的数量。 如果一栋住宅中居住着两个有单独财务的家庭,而Selsoviet名单中只列出了一个,那么在访谈员发现一个住宅中有多个家庭居住时,必须为这两个家庭分别填写问卷,并从该人口点的名单上随机选择一个尚未访谈的家庭进行替换。采用替换家庭而不是添加家庭的做法,是因为时间表不允许每个工作量进行超过12次访谈。 巴库 1995年2月,SORGU被委托在巴库进行随机抽样调查。当时,编制了一个包含巴库2,000户家庭的名单。这2,000户家庭根据每个区的总人口比例分布在巴库的11个区。在每个区,根据该区的人口比例,查阅了护照办公室的名单以选择所需数量的地址。在每个办公室,测量了每个抽屉满卡片的高度,将总长度除以该区要选择的家庭数量,然后以这些间隔抽取卡片。从每张卡片上记下巴库的一个特定地址。该区每个住宅只有一个护照,无论住宅中有多少独立的家庭/家庭单位居住。原则上,护照名单会持续更新,包括来自住房维护办公室的信息。然而,用于商业、空置、废弃或租给外国人的住宅可能仍然列在名单上。此外,不清楚新的私人住房单元如何被列入名单。通过选择1到4之间的随机数,从现有名单中选择408户家庭和92个替代品进行此调查,从每个区选择所需数量的地址。每个区的深度被测量,然后根据该区要选择的家庭数量除以总长度,然后抽取卡片。从每张卡片上记下巴库的一个特定地址。该区每个住宅只有一个护照,无论住宅中有多少独立的家庭/家庭单位居住。原则上,护照名单会持续更新,包括来自住房维护办公室的信息。然而,用于商业、空置、废弃或租给外国人的住宅可能仍然列在名单上。此外,不清楚新的私人住房单元如何被列入名单。通过选择1到4之间的随机数,从现有名单中选择408户家庭和92个替代品进行此调查,从每个区选择所需数量的地址。每个区的深度被测量,然后根据该区要选择的家庭数量除以总长度,然后抽取卡片。从每张卡片上记下巴库的一个特定地址。该区每个住宅只有一个护照,无论住宅中有多少独立的家庭/家庭单位居住。原则上,护照名单会持续更新,包括来自住房维护办公室的信息。然而,用于商业、空置、废弃或租给外国人的住宅可能仍然列在名单上。此外,不清楚新的私人住房单元如何被列入名单。通过选择1到4之间的随机数,从现有名单中选择408户家庭和92个替代品进行此调查,从每个区选择所需数量的地址。每个区的深度被测量,然后根据该区要选择的家庭数量除以总长度,然后抽取卡片。从每张卡片上记下巴库的一个特定地址。该区每个住宅只有一个护照,无论住宅中有多少独立的家庭/家庭单位居住。原则上,护照名单会持续更新,包括来自住房维护办公室的信息。然而,用于商业、空置、废弃或租给外国人的住宅可能仍然列在名单上。此外,不清楚新的私人住房单元如何被列入名单。通过选择1到4之间的随机数,从现有名单中选择408户家庭和92个替代品进行此调查,从每个区选择所需数量的地址。每个区的深度被测量,然后根据该区要选择的家庭数量除以总长度,然后抽取卡片。从每张卡片上记下巴库的一个特定地址。该区每个住宅只有一个护照,无论住宅中有多少独立的家庭/家庭单位居住。原则上,护照名单会持续更新,包括来自住房维护办公室的信息。然而,用于商业、空置、废弃或租给外国人的住宅可能仍然列在名单上。此外,不清楚新的私人住房单元如何被列入名单。通过选择1到4之间的随机数,从现有名单中选择408户家庭和92个替代品进行此调查,从每个区选择所需数量的地址。每个区的深度被测量,然后根据该区要选择的家庭数量除以总长度,然后抽取卡片。从每张卡片上记下巴库的一个特定地址。该区每个住宅只有一个护照,无论住宅中有多少独立的家庭/家庭单位居住。原则上,护照名单会持续更新,包括来自住房维护办公室的信息。然而,用于商业、空置、废弃或租给外国人的住宅可能仍然列在名单上。此外,不清楚新的私人住房单元如何被列入名单。通过选择1到4之间的随机数,从现有名单中选择408户家庭和92个替代品进行此调查,从每个区选择所需数量的地址。每个区的深度被测量,然后根据该区要选择的家庭数量除以总长度,然后抽取卡片。从每张卡片上记下巴库的一个特定地址。该区每个住宅只有一个护照,无论住宅中有多少独立的家庭/家庭单位居住。原则上,护照名单会持续更新,包括来自住房维护办公室的信息。然而,用于商业、空置、废弃或租给外国人的住宅可能仍然列在名单上。此外,不清楚新的私人住房单元如何被列入名单。通过选择1到4之间的随机数,从现有名单中选择408户家庭和92个替代品进行此调查,从每个区选择所需数量的地址。每个区的深度被测量,然后根据该区要选择的家庭数量除以总长度,然后抽取卡片。从每张卡片上记下巴库的一个特定地址。该区每个住宅只有一个护照,无论住宅中有多少独立的家庭/家庭单位居住。原则上,护照名单会持续更新,包括来自住房维护办公室的信息。然而,用于商业、空置、废弃或租给外国人的住宅可能仍然列在名单上。此外,不清楚新的私人住房单元如何被列入名单。通过选择1到4之间的随机数,从现有名单中选择408户家庭和92个替代品进行此调查,从每个区选择所需数量的地址。每个区的深度被测量,然后根据该区要选择的家庭数量除以总长度,然后抽取卡片。从每张卡片上记下巴库的一个特定地址。该区每个住宅只有一个护照,无论住宅中有多少独立的家庭/家庭单位居住。原则上,护照名单会持续更新,包括来自住房维护办公室的信息。然而,用于商业、空置、废弃或租给外国人的住宅可能仍然列在名单上。此外,不清楚新的私人住房单元如何被列入名单。通过选择1到4之间的随机数,从现有名单中选择408户家庭和92个替代品进行此调查,从每个区选择所需数量的地址。每个区的深度被测量,然后根据该区要选择的家庭数量除以总长度,然后抽取卡片。从每张卡片上记下巴库的一个特定地址。该区每个住宅只有一个护照,无论住宅中有多少独立的家庭/家庭单位居住。原则上,护照名单会持续更新,包括来自住房维护办公室的信息。然而,用于商业、空置、废弃或租给外国人的住宅可能仍然列在名单上。此外,不清楚新的私人住房单元如何被列入名单。通过选择1到4之间的随机数,从现有名单中选择408户家庭和92个替代品进行此调查,从每个区选择所需数量的地址。每个区的深度被测量,然后根据该区要选择的家庭数量除以总长度,然后抽取卡片。从每张卡片上记下巴库的一个特定地址。该区每个住宅只有一个护照,无论住宅中有多少独立的家庭/家庭单位居住。原则上,护照名单会持续更新,包括来自住房维护办公室的信息。然而,用于商业、空置、废弃或租给外国人的住宅可能仍然列在名单上。此外,不清楚新的私人住房单元如何被列入名单。通过选择1到4之间的随机数,从现有名单中选择408户家庭和92个替代品进行此调查,从每个区选择所需数量的地址。每个区的深度被测量,然后根据该区要选择的家庭数量除以总长度,然后抽取卡片。从每张卡片上记下巴库的一个特定地址。该区每个住宅只有一个护照,无论住宅中有多少独立的家庭/家庭单位居住。原则上,护照名单会持续更新,包括来自住房维护办公室的信息。然而,用于商业、空置、废弃或租给外国人的住宅可能仍然列在名单上。此外,不清楚新的私人住房单元如何被列入名单。通过选择1到4之间的随机数,从现有名单中选择408户家庭和92个替代品进行此调查,从每个区选择所需数量的地址。每个区的深度被测量,然后根据该区要选择的家庭数量除以总长度,然后抽取卡片。从每张卡片上记下巴库的一个特定地址。该区每个住宅只有一个护照,无论住宅中有多少独立的家庭/家庭单位居住。原则上,护照名单会持续更新,包括来自住房维护办公室的信息。然而,用于商业、空置、废弃或租给外国人的住宅可能仍然列在名单上。此外,不清楚新的私人住房单元如何被列入名单。通过选择1到4之间的随机数,从现有名单中选择408户家庭和92个替代品进行此调查,从每个区选择所需数量的地址。每个区的深度被测量,然后根据该区要选择的家庭数量除以总长度,然后抽取卡片。从每张卡片上记下巴库的一个特定地址。该区每个住宅只有一个护照,无论住宅中有多少独立的家庭/家庭单位居住。原则上,护照名单会持续更新,包括来自住房维护办公室的信息。然而,用于商业、空置、废弃或租给外国人的住宅可能仍然列在名单上。此外,不清楚新的私人住房单元如何被列入名单。通过选择1到4之间的随机数,从现有名单中选择408户家庭和92个替代品进行此调查,从每个区选择所需数量的地址。每个区的深度被测量,然后根据该区要选择的家庭数量除以总长度,然后抽取卡片。从每张卡片上记下巴库的一个特定地址。该区每个住宅只有一个护照,无论住宅中有多少独立的家庭/家庭单位居住。原则上,护照名单会持续更新,包括来自住房维护办公室的信息。然而,用于商业、空置、废弃或租给外国人的住宅可能仍然列在名单上。此外,不清楚新的私人住房单元如何被列入名单。通过选择1到4之间的随机数,从现有名单中选择408户家庭和92个替代品进行此调查,从每个区选择所需数量的地址。每个区的深度被测量,然后根据该区要选择的家庭数量除以总长度,然后抽取卡片。从每张卡片上记下巴库的一个特定地址。该区每个住宅只有一个护照,无论住宅中有多少独立的家庭/家庭单位居住。原则上,护照名单会持续更新,包括来自住房维护办公室的信息。然而,用于商业、空置、废弃或租给外国人的住宅可能仍然列在名单上。此外,不清楚新的私人住房单元如何被列入名单。通过选择1到4之间的随机数,从现有名单中选择408户家庭和92个替代品进行此调查,从每个区选择所需数量的地址。每个区的深度被测量,然后根据该区要选择的家庭数量除以总长度,然后抽取卡片。从每张卡片上记下巴库的一个特定地址。该区每个住宅只有一个护照,无论住宅中有多少独立的家庭/家庭单位居住。原则上,护照名单会持续更新,包括来自住房维护办公室的信息。然而,用于商业、空置、废弃或租给外国人的住宅可能仍然列在名单上。此外,不清楚新的私人住房单元如何被列入名单。通过选择1到4之间的随机数,从现有名单中选择408户家庭和92个替代品进行此调查,从每个区选择所需数量的地址。每个区的深度被测量,然后根据该区要选择的家庭数量除以总长度,然后抽取卡片。从每张卡片上记下巴库的一个特定地址。该区每个住宅只有一个护照,无论住宅中有多少独立的家庭/家庭单位居住。原则上,护照名单会持续更新,包括来自住房维护办公室的信息。然而,用于商业、空置、废弃或租给外国人的住宅可能仍然列在名单上。此外,不清楚新的私人住房单元如何被列入名单。通过选择1到4之间的随机数,从现有名单中选择408户家庭和92个替代品进行此调查,从每个区选择所需数量的地址。每个区的深度被测量,然后根据该区要选择的家庭数量除以总长度,然后抽取卡片。从每张卡片上记下巴库的一个特定地址。该区每个住宅只有一个护照,无论住宅中有多少独立的家庭/家庭单位居住。原则上,护照名单会持续更新,包括来自住房维护办公室的信息。然而,用于商业、空置、废弃或租给外国人的住宅可能仍然列在名单上。此外,不清楚新的私人住房单元如何被列入名单。通过选择1到4之间的随机数,从现有名单中选择408户家庭和92个替代品进行此调查,从每个区选择所需数量的地址。每个区的深度被测量,然后根据该区要选择的家庭数量除以总长度,然后抽取卡片。从每张卡片上记下巴库的一个特定地址。该区每个住宅只有一个护照,无论住宅中有多少独立的家庭/家庭单位居住。原则上,护照名单会持续更新,包括来自住房维护办公室的信息。然而,用于商业、空置、废弃或租给外国人的住宅可能仍然列在名单上。此外,不清楚新的私人住房单元如何被列入名单。通过选择1到4之间的随机数,从现有名单中选择408户家庭和92个替代品进行此调查,从每个区选择所需数量的地址。每个区的深度被测量,然后根据该区要选择的家庭数量除以总长度,然后抽取卡片。从每张卡片上记下巴库的一个特定地址。该区每个住宅只有一个护照,无论住宅中有多少独立的家庭/家庭单位居住。原则上,护照名单会持续更新,包括来自住房维护办公室的信息。然而,用于商业、空置、废弃或租给外国人的住宅可能仍然列在名单上。此外,不清楚新的私人住房单元如何被列入名单。通过选择1到4之间的随机数,从现有名单中选择408户家庭和92个替代品进行此调查,从每个区选择所需数量的地址。每个区的深度被测量,然后根据该区要选择的家庭数量除以总长度,然后抽取卡片。从每张卡片上记下巴库的一个特定地址。该区每个住宅只有一个护照,无论住宅中有多少独立的家庭/家庭单位居住。原则上,护照名单会持续更新,包括来自住房维护办公室的信息。然而,用于商业、空置、废弃或租给外国人的住宅可能仍然列在名单上。此外,不清楚新的私人住房单元如何被列入名单。通过选择1到4之间的随机数,从现有名单中选择408户家庭和92个替代品进行此调查,从每个区选择所需数量的地址。每个区的深度被测量,然后根据该区要选择的家庭数量除以总长度,然后抽取卡片。从每张卡片上记下巴库的一个特定地址。该区每个住宅只有一个护照,无论住宅中有多少独立的家庭/家庭单位居住。原则上,护照名单会持续更新,包括来自住房维护办公室的信息。然而,用于商业、空置、废弃或租给外国人的住宅可能仍然列在名单上。此外,不清楚新的私人住房单元如何被列入名单。通过选择1
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