Household Energy Survey July 2006
West Bank and Gaza, 2006
Get Microdata
Reference ID
PSE-PCBS-HES-2006-JUL-V1.0
Producer(s)
Palestinian Central Bureau of Statistics
Collections
Created on
Aug 30, 2020
Last modified
Aug 30, 2020
Page views
28268
Downloads
641
Identification
Survey ID Number
PSE-PCBS-HES-2006-JUL-V1.0
Title
Household Energy Survey July 2006
Translated Title
مسح الطاقة المنزلي، تموز 2006
Country
| Name | Country code |
|---|---|
| Palestine | PSE |
Study type
Other Household Survey [hh/oth]
Series Information
PCBS implemented the household energy survey 2006. This survey collected data on household energy indicators (electricity, petroleum fuel) in the household activities (cooking, water heating, lighting, and conditioning). Data collection took place during the period 26/08/2006 - 05/10/2006
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.
Energy statistics program implemented ten rounds of household energy survey during 1999-2006.
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.
Energy statistics program implemented ten rounds of household energy survey during 1999-2006.
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.
This report presents data on various energy households indicators in the Palestinian Territory, and presents statistical data on electricity and other fuel consumption for the household sector, using type of fuel by different activities (cooking, Baking, conditioning, lighting, and water Heating).
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.
This report presents data on various energy households indicators in the Palestinian Territory, and presents statistical data on electricity and other fuel consumption for the household sector, using type of fuel by different activities (cooking, Baking, conditioning, lighting, and water Heating).
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Households
Version
Version Description
V1.0: (public use file)
Version Date
2012-07-05
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).
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 | Link |
Coverage
Geographic Coverage
The Palestinian Territory.
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 | Abbreviation | Role |
|---|---|---|
| Palestinian National Authority | PNA | Survey Fund |
| 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 |
Other Identifications/Acknowledgments
| Name | Role |
|---|---|
| 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 |
Sampling
Sampling Procedure
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 third quarter 2006 of LFS.
Stratification:
In designing the sample of LFS, three 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.
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 (3,115) 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.
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 third quarter 2006 of LFS.
Stratification:
In designing the sample of LFS, three 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.
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 (3,115) 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 3,115 Households were visited in the Palestinian Territory, the end results for the interview become as following:
(2,695) complete questioner
(33) traveling households
(34) housing unit not existed
(102) cases no body in the house
(35) objection cases
(158) housing unit abandoned
(20) household can't give data
(38) other cases
The responce rate was about 92.2%
(2,695) complete questioner
(33) traveling households
(34) housing unit not existed
(102) cases no body in the house
(35) objection cases
(158) housing unit abandoned
(20) household can't give data
(38) other cases
The responce rate was about 92.2%
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 middle of 2006 on the level of
design strata (governorate, locality type).
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 middle of 2006 on the level of
design strata (governorate, locality type).
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2006-08-26 | 2006-10-05 |
Time periods
| Start date | End date |
|---|---|
| 2006-07-01 | 2006-07-31 |
Data Collection Mode
Face-to-face [f2f]
Supervision
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
Field work started on 26/08/2006 and lasted until 05/10/2006. Field work teams were distributed to all districts proportional to the sample size of each governorate. The field work team consisted of 24 members including one field work coordinator, 4 supervisors, 4 editors and 15 interviewers.
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.
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 Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | Palestinian National Authority |
Questionnaires
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 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.
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
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.
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.
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.
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Division of user services | Palestinian Central Bureau of Statistics | diwan@pcbs.gov.ps | www.pcbs.gov.ps |
Confidentiality
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.
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 Statistics2012, 2006 Household Energy Survey: (July 2006) V1.0 (07-2012).Ramallah - Palestine.
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | Palestinian National Authority | diwan@pcbs.gov.ps | www.pcbs.gov.ps |
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 Statistics2012, Household Energy Survey July 2006). Ramallah - Palestine.
Metadata production
DDI Document ID
DDI-PSE-PCBS-HES-2006-JUL-V1.0
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | (PCBS) | Palestinian National Authority | Collection, processing and dissemination data |
Date of Metadata Production
2012-07-05
DDI Document version
Version 1.0 (June / 2012)