Household Energy Survey 2005 - West Bank and Gaza

Abstract
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Because of the importance of the household sector and due to it's large contribution to energy consumption in the Palestinian Territory, PCBS decided to conduct a special household energy survey to cover energy indicators in the household sector. To achieve this, a questionnaire was attached to the Labor Force Survey.
This survey aimed to provide data on energy consumption in the household sector and to provide data on energy consumption behavior in the society by type of energy.

Geographic coverage
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West Bank and Gaza

Analysis unit
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Households

Universe
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The target population was all Palestinian households living in the Palestinian Territory.

Kind of data
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Sample survey data [ssd]

Sampling procedure
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Sampling Frame
Sampling frame is a master sample from the Population, Housing and Establishment Census 1997. It consists of a list of enumeration areas, which were used as PSU's in the first stage of selection.
Sampling Design
The sample of this survey is a sub-sample of Labour Force Survey (LFS) sample, that is conducted every 13 weeks. The total sample of LFS is about 7,559 households distributed over 13 weeks. The sample of the Household Energy Survey occupies six weeks of the first quarter 2005 of LFS.
Stratification:
In designing the sample of LFS, four levels of stratification were made:

Stratification by governorate.
Stratification by place of residence which comprises:
(a) Urban (b) Rural (c) Refugee camps
Stratification by locality size.
Stratification by classifying localities, excluding governorate capitals, into three strata based on the ownership of households within these localities of durable goods.

Sample Unit:
In the first stage, the sampling units are the enumerator areas (clusters) in the master sample. In the second stage, the sampling units are households.
Analysis Unit:
Analysis units are composed of households.
Sample Size:
The sample size is of (3,477) Palestinian households in West Bank and Gaza Strip, where this sample has been distributed according to the locality in urban areas, in rural areas and in refugee camps.

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

Research instrument
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The design of the questionnaire for the Household Energy Survey was based on the experiences of similar countries as well as on international standards and recommendations for the most important indicators, taking into account the special situation of the Palestinian Territory.

Cleaning operations
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The data processing stage consisted of the following operations:
Editing and coding before data entry: All questionnaires were edited and coded in the office using the same instructions adopted for editing in the field.

Data entry: At this stage, data was entered into the computer using a data entry template developed in Access.
The data entry program was prepared to satisfy a number of requirements such as:
· To prevent the duplication of the questionnaires during data entry.
· To apply integrity and consistency checks of entered data.
· To handle errors in user friendly manner.
· The ability to transfer captured data to another format for data analysis using statistical analysis software such as SPSS.

Response rate
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During fieldwork 3,477 families were visited in the Palestinian Territory, the end results for the interview become as following:
(3022) complete questioner
(34) traveling family
(69) housing unit not existed
(67) cases no body in the house
(16) objection cases
(185) housing unit abandoned
(28) family can't give data
(56) other cases
During fieldwork 3,477 families were visited in the Palestinian Territory, There is 3,022 complete questioner, this percent was about 87%.

Sampling error estimates
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This includes many aspects of the survey, mainly statistical errors due to the sample, and non statistical errors referring to the workers and tools of the survey. It includes also the response rates in the survey and their effect on the assumptions. This section includes:

Sampling Errors:
These types of errors evolved as a result of studying a part of the society and not all of it. For this survey, variance calculations were made for average household consumption and total consumption for the different types of energy in the Palestinian Territory.
Non Sampling Errors:
These errors are due to non-response cases as well as the implementation of surveys. In this survey, these errors emerged because of (a) the special situation of the questionnaire itself which depends on type of estimation (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator …etc).
The sources of these errors can be summarized in:
Some of the households were not in their houses and the interviewers couldn't meet them.
Some of the households didn't show attention toward the questionnaire.
Some errors occurred due to the way the questions were asked by interviewers.
Misunderstood of the questions by the respondents.
Answering the questions related to consumption by making estimations.

Special Technical Notes:
This part presents the important technical notes on the indicators presented in the main results of the survey:

In all calculations related to Gasoline, we dealt with the average of all available types of Gasoline.

Data appraisal
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The data of the survey is comparable geographically and over time by comparing the data between different geographical areas to data of previous surveys.

摘要
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鉴于家庭部门的重要性及其对巴勒斯坦领土能源消耗的巨大贡献，巴勒斯坦中央统计局决定开展一项特殊的家庭能源调查，以涵盖家庭部门的能源指标。为此，将问卷附加到劳动力调查中。该调查旨在提供家庭部门能源消耗数据，并通过能源类型提供社会能源消耗行为数据。
地理覆盖范围
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西岸和加沙地带
分析单元
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家庭
总体
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目标总体为居住在巴勒斯坦领土的所有巴勒斯坦家庭。
数据类型
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样本调查数据 [ssd]
抽样程序
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抽样框架
抽样框架是来自1997年人口、住房和单位普查的总样本。它由一组抽样单元（群）组成，这些单元在第一阶段的选择中用作抽样单元。
抽样设计
本调查的样本是劳动力调查（LFS）样本的一个子样本，LFS每13周进行一次。LFS的总样本量约为7,559户，分布在13周内。家庭能源调查的样本占据了2005年第一季度LFS的前六周。
分层
在LFS样本的设计中，进行了四个层面的分层：
按省份分层。
按居住地分层，包括：
（a）城市
（b）农村
（c）难民营
按地区规模分层。
按地区分类分层，将不包括省会的地方分为三个层次，基于这些地区家庭耐用品的拥有情况。
抽样单元
在第一阶段，抽样单元是主样本中的抽样单元（群）。在第二阶段，抽样单元是家庭。
分析单元
分析单元由家庭组成。
样本量
样本量为（3,477）户巴勒斯坦家庭，分布在西岸和加沙地带，其中该样本根据城市地区、农村地区和难民营的地区进行分配。
数据收集方式
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面对面 [f2f]
研究工具
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家庭能源调查问卷的设计基于类似国家的经验以及国际标准和建议，考虑了巴勒斯坦领土的特殊情况。
数据清洗操作
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数据加工阶段包括以下操作：
数据录入前的编辑和编码：所有问卷都在办公室使用与现场编辑相同的指导方针进行编辑和编码。
数据录入：在此阶段，数据使用在Access中开发的模板录入计算机。
数据录入程序准备以满足以下要求：
· 防止数据录入期间问卷的重复。
· 对录入数据进行完整性和一致性检查。
· 以用户友好的方式处理错误。
· 能够使用统计分析软件（如SPSS）将捕获的数据传输到其他格式进行分析。
响应率
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在实地工作中，巴勒斯坦领土共访问了3,477个家庭，访谈的最终结果如下：
（3022）完整问卷
（34）旅行家庭
（69）住房单元不存在
（67）无人居住的住房单元
（16）反对案例
（185）废弃的住房单元
（28）家庭无法提供数据
（56）其他情况
在巴勒斯坦领土的实地工作中，共访问了3,477个家庭，有3,022份完整问卷，这一比例约为87%。
抽样误差估计
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这包括调查的许多方面，主要是由于样本导致的统计误差，以及与调查工作人员和工具相关的非统计误差。它还包括调查中的响应率和它们对假设的影响。本部分包括：
抽样误差：这些类型的误差是由于研究社会的部分而不是全部而产生的。对于本调查，计算了巴勒斯坦领土不同类型能源的平均家庭消费和总消费的方差。
非抽样误差：这些误差是由于非响应案例以及调查的实施而产生的。在本调查中，这些误差是由于（a）问卷本身的特殊情况，这取决于估计类型（b）来源的多样性（例如，采访者、受访者、编辑者、编码者、数据录入操作员等）。
这些误差的来源可以概括为：
一些家庭不在其住所中，采访者无法遇到他们。
一些家庭对问卷没有表现出关注。
一些错误是由于采访者提问的方式而产生的。
受访者对问题理解错误。
通过估计回答与消费相关的问题。
特殊技术说明：
本部分介绍了调查主要结果中呈现的指标的重要技术说明：
在所有与汽油相关的计算中，我们处理了所有可用的汽油类型的平均值。
数据评估
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调查数据可以通过比较不同地理区域的现有数据与之前调查的数据，在地理上和时间上进行比较。