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Household Energy Survey 2005

West Bank and Gaza, 2005
Reference ID
WBG_2005_HES-S1_v01_M
Producer(s)
Palestinian Central Bureau of Statistics
Metadata
DDI/XML JSON
Study website
Created on
Feb 19, 2014
Last modified
Mar 29, 2019
Page views
10095
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  • Study Description
  • Data Dictionary
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  • Related Publications
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data processing
  • Data appraisal
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    WBG_2005_HES-S1_v01_M

    Title

    Household Energy Survey 2005

    Subtitle

    January (First Quarter)

    Country
    Name Country code
    West Bank and Gaza WBG
    Study type

    Other Household Survey [hh/oth]

    Series Information

    The energy statistics program has implemented many rounds of the Household Energy Survey during 1999-2005. Because of the importance of the household sector and due to its 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.

    Abstract

    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.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Households

    Version

    Version Description

    V1.0: (public use file)

    Version Date

    2012-03-12

    Scope

    Notes

    The survey presents data on energy indicators pertaining to households in the Palestinian Territory. This includes statistical data on electricity and other fuel consumption by households covering type of fuel for different activities (cooking, baking, heating, lighting, and water heating).

    Topics
    Topic Vocabulary URI
    natural resources and energy [9.3] CESSDA http://www.nesstar.org/rdf/common
    Keywords
    Electricity Fuel

    Coverage

    Geographic Coverage

    West Bank and Gaza

    Universe

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

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Palestinian Central Bureau of Statistics Palestinian National Authority
    Funding Agency/Sponsor
    Name Role
    Palestinian National Authority Survey Fund
    Representative Office of Norway Survey Fund
    Swiss Development and Cooperation Agency Survey Fund
    The Core Funding Group Survey Fund
    UK Department for International Development Survey Fund
    The European Commission Survey Fund
    The World Bank Survey Fund
    Other Identifications/Acknowledgments
    Name Affiliation Role
    Representative Office of Norway NOR Survey Fund
    Swiss Development and Cooperation Agency SDC Survey Fund
    The Core Funding Group CFG Survey Fund
    UK Department for International Development DFID Survey Fund
    The European Commission EC Survey Fund
    The World Bank WB Survey Fund

    Sampling

    Sampling Procedure

    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.

    Response Rate

    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%.

    Weighting

    The weight of statistical units (sampling unit) in the sample is defined as the mathematical inverse of the selection probability where the sample of the survey is two stage stratified cluster sample, so In the first stage, we calculate the weight of enumeration areas which depending on the probability of each enumeration area(a systematic random sample), then In the second stage we calculate weight of households in each enumeration area, Initial households weights resulted from product of weight of first stage and weight of second stage ,final households weights obtained after adjustment of initial weights with the households estimates mid 2005 on the level of design strata (governorate, locality type).

    Survey instrument

    Questionnaires

    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.

    Data collection

    Dates of Data Collection
    Start End Cycle
    2005-02-19 2005-03-31 36
    Time periods
    Start date End date Cycle
    2005-01-01 2005-01-31 36
    Data Collectors
    Name Affiliation
    Palestinian Central Bureau of Statistics Palestinian National Authority
    Supervision

    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.

    Several measures had been taken to ensure the efficiency of quality controls in the survey, such as: the training of fieldworkers on the main skills before the start of data collection, conducting field visits to fieldworkers to ensure the integrity of data collection, editing of questionnaires before data entry, using data entry application that does not allow any mistakes during the process of data entry, and then examining the data. This was done to ensure data is error free ; while cleaning and inspection of the anomalous values have been made to ensure harmony between the different questions on the questionnaire.

    Data Collection Notes

    Fieldworkers were trained on the main skills relevant to the survey before the start of data collection. Instructions for filling the questionnaire were made available for the interviewers. The training provided fieldworkers with aims and definitions of the different indicators of the survey.

    Data processing

    Data Editing

    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.

    Data appraisal

    Estimates of Sampling Error

    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

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

    Data Access

    Access authority
    Name Affiliation URL Email
    Palestinian Central Bureau of Statistics Palestinian National Authority www.pcbs.gov.ps diwan@pcbs.gov.ps
    Confidentiality
    Is signing of a confidentiality declaration required? Confidentiality declaration text
    yes General Statistics Law No. (5) for Year 2000 Article (17) 1. All individual information and data submitted to the Bureau for statistical purposes shall be treated as confidential and shall not be divulged, in whole or in part, to any individual or to a public or private body, or used for any purpose other than for preparing statistical tables. 2. The Bureau shall endeavor to issue official statistical publications in aggregate tables, which do not disclose individual data, in conformity with the confidentiality of statistical data.
    Access conditions
    1. Pledges the utilization of “data” or any copies thereof shall be limited to the purposes agreed upon including not granting any third parties any access to these data. Restrictions applies to any data duplication or transformed setting for purposes other than meeting the requirements of the statistical programs used in data analysis.
    2. Utilization of “data” or any copies thereof is limited to personal computers normally .
    3. Pledges not to alter the value of any observation in the original “data”; nevertheless, this does not apply on subjecting data to any processes or procedures aiming to derive new variables. The first party does not bear any professional, administrative or financial responsibility for any losses incurred as a result of changes in the variables values.
    Citation requirements

    Palestinian Central Bureau of Statistics, 2005 Household Energy Survey: (January 2005) V1.0 (03-2012).Ramallah - Palestine.

    Disclaimer and copyrights

    Disclaimer

    PCBS provid data collected for purely statistical purposes, and therefore does not assume any responsibility for legal or professional from any claim or analysis or interpretation or misuse of this data.

    Copyright

    (c) All Rights Reserved. Palestinian Central Bureau of Statistics, 2005. Household Energy Survey: Main Results (January 2005). Ramallah - Palestine.

    Contacts

    Contacts
    Name Affiliation Email URL
    Division of User Services Palestinian Central Bureau of Statistics diwan@pcbs.gov.ps www.pcbs.gov.ps
    World Bank Microdata Library World Bank

    Metadata production

    Producers
    Name Affiliation Role
    Palestinian Central Bureau of Statistics Palestinian National Authority Collection, processing and dissemination data
    Date of Metadata Production

    2014-01-23

    Metadata version

    DDI Document version

    Versiob 1.1 (January 2014)
    Adaptation of DDI-PSE-PCBS-HES-2005 Jan -V1.0

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