household Energy Survey, July 2010
West Bank and Gaza, 2010
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Reference ID
PSE-PCBS-HES-2010-JUL-V1.0
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Palestinian Central Bureau of Statistics
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Identification
Survey ID Number
PSE-PCBS-HES-2010-JUL-V1.0
Title
household Energy Survey, July 2010
Translated Title
مسح الطاقة المنزلي -تموز 2010
Country
| Name | Country code |
|---|---|
| Palestine | PS |
Study type
Other Household Health Survey [hh/hea]
Series Information
The energy statistics program has implemented seventeen rounds of the Household Energy Survey during 1999-2010.
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.
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
The energy statistics program has implemented seventeen rounds of the Household Energy Survey during 1999-2010.
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.
This survey aimed to provide data on energy consumption in the household sector and to provide data on energy consumption behavior and patterns in the society by type of energy.
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, conditioning, lighting, and Water Heating).
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.
This survey aimed to provide data on energy consumption in the household sector and to provide data on energy consumption behavior and patterns in the society by type of energy.
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, conditioning, lighting, and Water Heating).
Kind of Data
Sample survey data [ssd]
Unit of Analysis
households
Version
Version Description
V0.1: File for publishing at internet for public use.
Version Date
2011-04-26
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, conditioning, lighting, and Water Heating).
Topics
| Topic | Vocabulary | URI |
|---|---|---|
| natural resources and energy [9.3] | CESSDA | Link |
Coverage
Geographic Coverage
Geographic Coverage
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 | PNA |
Funding Agency/Sponsor
| Name | Abbreviation |
|---|---|
| Palestinian National Authority | PNA |
| Representative Office of Norway | |
| Swiss Development and Cooperation Agency | SDC |
| The Core Funding Group | CFG |
Other Identifications/Acknowledgments
| Name | Affiliation |
|---|---|
| Representative Office of Norway | |
| Swiss Development and Cooperation Agency | SDC |
| The Core Funding Group | CFG |
Sampling
Sampling Procedure
Sample Frame
The sample is a two-stage stratified cluster random sample.
Target Population
The target population was all Palestinian households living in the Palestinian Territory.
Sampling Frame
The sampling frame is a master sample from the overall sample that was updated in 2003 for the households that were visited a third or fourth time in the Labor Force Survey, while the households to be visited for the first and second time were chosen from the Master Sampling frame of the Population, Housing and Establishment Census 2007. The sampling frame consists of a list of enumeration areas used as PSU's in the first stage of selection, and the households frame was used to choose households in the second level.
Sampling Design
The sample of this survey is a sub-sample of the Labor Force Survey (LFS) sample, which is conducted periodically since September 1995. The sample of LFS is distributed over 13 weeks. The sample of the Household Energy Survey occupies six weeks of the first quarter of 2010 of the LFS.
Stratification:
In designing the sample of the 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 enumeration areas (clusters) from the master sample. In the second stage, the sampling units are households.
Analysis Unit:
The unit of analysis is the household.
Sample Size:
The sample size is comprised of (3,312) Palestinian households in the West Bank and Gaza Strip, where this sample was distributed according to locality type (urban, rural and refugee camps).
The sample is a two-stage stratified cluster random sample.
Target Population
The target population was all Palestinian households living in the Palestinian Territory.
Sampling Frame
The sampling frame is a master sample from the overall sample that was updated in 2003 for the households that were visited a third or fourth time in the Labor Force Survey, while the households to be visited for the first and second time were chosen from the Master Sampling frame of the Population, Housing and Establishment Census 2007. The sampling frame consists of a list of enumeration areas used as PSU's in the first stage of selection, and the households frame was used to choose households in the second level.
Sampling Design
The sample of this survey is a sub-sample of the Labor Force Survey (LFS) sample, which is conducted periodically since September 1995. The sample of LFS is distributed over 13 weeks. The sample of the Household Energy Survey occupies six weeks of the first quarter of 2010 of the LFS.
Stratification:
In designing the sample of the 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 enumeration areas (clusters) from the master sample. In the second stage, the sampling units are households.
Analysis Unit:
The unit of analysis is the household.
Sample Size:
The sample size is comprised of (3,312) Palestinian households in the West Bank and Gaza Strip, where this sample was distributed according to locality type (urban, rural and refugee camps).
Response Rate
During fieldwork 3,312 households were visited in the Palestinian Territory. 2,876 questionnaire were Completed in the Palestinian Territory.
Weighting
Since the sampling weight is inversely proportional with the percentage of the sample from the frame, and as this ratio is different from the percentage sample for the population in the reference period, the weight was adjusted to show the total population at the middle of 2010. The weights were also adjusted to make the distribution of persons in the sample by region, sex, and age structure to become identical to the distribution in the census 2007. Finally, weights were adjusted to compensate for incomplete cases that occur during data collection.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2010-08-22 | 2010-09-30 | 58 |
Time periods
| Start date | End date |
|---|---|
| 2010-08-22 | 2010-09-30 |
Data Collection Mode
Face-to-face [f2f]
Supervision
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 distributed to all governorates proportional to the sample size of each governorate. The fieldwork team consisted of 24 members, including one fieldwork coordinator, 4 supervisors, 4 editors and 15 interviewers.
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.
Fieldworkers were distributed to all governorates proportional to the sample size of each governorate. The fieldwork team consisted of 24 members, including one fieldwork coordinator, 4 supervisors, 4 editors and 15 interviewers.
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 Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Palestinian Central Pureau of Statistics | PCBS | PNA |
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
It 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:
1. Sampling Errors
These types of errors evolved as a result of studying a part of the population and not all of it. Because this is a sampled survey , the data will be affected by sampling errors due to using a sample and not the whole frame of the population. Differences appear compared with the actual values that could be obtained through a census. For this survey, variance calculations were made for average household consumption and total consumption for the different types of energy in the Palestinian Territory.
2. 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 some parts depend partially on estimation, (b) diversity of sources (e.g., the interviewers, respondents, editors, coders, data entry operator, etc).
The sources of these errors can be summarized as:
Some of the households were not in their houses and the interviewers could not meet them.
Some of the households did not give attention to the questionnaire.
Some errors occurred due to the way the questions were asked by interviewers.
Misunderstanding of the questions by the respondents.
Answering the questions related to consumption by making estimations.
None response rate = Sum of none response cases x 100%
Net sample
= 48 x 100% = 1.45%
3.312
Response rate = 100% - none response rate
= 100% - 1.45% = 98.55%
1. Sampling Errors
These types of errors evolved as a result of studying a part of the population and not all of it. Because this is a sampled survey , the data will be affected by sampling errors due to using a sample and not the whole frame of the population. Differences appear compared with the actual values that could be obtained through a census. For this survey, variance calculations were made for average household consumption and total consumption for the different types of energy in the Palestinian Territory.
2. 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 some parts depend partially on estimation, (b) diversity of sources (e.g., the interviewers, respondents, editors, coders, data entry operator, etc).
The sources of these errors can be summarized as:
Some of the households were not in their houses and the interviewers could not meet them.
Some of the households did not give attention to the questionnaire.
Some errors occurred due to the way the questions were asked by interviewers.
Misunderstanding of the questions by the respondents.
Answering the questions related to consumption by making estimations.
None response rate = Sum of none response cases x 100%
Net sample
= 48 x 100% = 1.45%
3.312
Response rate = 100% - none response rate
= 100% - 1.45% = 98.55%
Data Appraisal
The data of the Household Energy Survey is comparable geographically and over time by comparing the data between different geographical areas with the data of previous surveys and census 2007.
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Division of user services | Palestinian Central Bureau of Statistics | diwan@pcbs.gov.pss | 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 Statistics, 2010. Household Energy Survey:
(July 2010) Main Results. V 1.0 (04-2011). Ramallah - Palestine.
(July 2010) Main Results. V 1.0 (04-2011). Ramallah - Palestine.
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Palestinian Central Pureau of Statistics | PNA | diwan@pcbc.gov.ps | www.pcbs.gov.ps |
Disclaimer and copyrights
Disclaimer
The Palestinian Central Bureau of Statistics (PCBS) provide you with the data as is, without any warranty or responsibility implied. PCBS accepts no responsibility for the results and/or implications of any analysis and/or other actions conducted with this data.
Copyright
©All rights reserved. Palestinian Central Bureau of Statistics, 2010. Household Energy Survey: (July 2010) Main Results. Ramallah - Palestine.
Metadata production
DDI Document ID
DDI-PSE-PCBS-HES-2010-JUL-V1.0
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | PNA | Produce Survey from idea to Publishing |
Date of Metadata Production
2011-04-26
DDI Document version
v1.0