Household Energy Survey January 2009
West Bank and Gaza, 2009
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Reference ID
PSE-PCBS-HES-2009-JAN-V1.0
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Palestinian Central Bureau of Statistics
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Identification
Survey ID Number
PSE-PCBS-HES-2009-JAN-V1.0
Title
Household Energy Survey January 2009
Translated Title
مسح الطاقة المنزلي كانون اول 2009
Country
| Name | Country code |
|---|---|
| Palestine | PSE |
Study type
Other Household Health Survey [hh/hea]
Series Information
The energy statistics program has
implemented fourteen rounds of the
Household Energy Survey during
1999-2009.
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.
implemented fourteen rounds of the
Household Energy Survey during
1999-2009.
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 fourteen rounds of the
Household Energy Survey during
1999-2009.
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, heating, lighting,
and water heating).
implemented fourteen rounds of the
Household Energy Survey during
1999-2009.
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, heating, 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
2011-09-19
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
Palestinian Territory
Universe
The target population was all Palestinian
households living in the Palestinian
Territory.
households living in the Palestinian
Territory.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Palestinian Central Bureau of Statistics | PNA |
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 |
Other Identifications/Acknowledgments
| Name | Affiliation | Role |
|---|---|---|
| Swiss Development and Cooperation Agency | SDC | Survey Fund |
| The Core Funding Group | CFG | Survey Fund |
| Representative Office of Norway | NOR | Survey Fund |
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 within the Palestinian Territory.
Sampling Frame
The sampling frame is a master sample from the Population, Housing and Establishment Census 1997 for the households that were visited a second or third or fourth time, while the households to be visited for the first time were chosen from the general frame of Population, Housing and Establishment Census 2007. It consists of a list of enumeration areas used as PSU's in the first stage of selection, and the household frame was used in the enumerator areas to choose households in the second level. The frame of the households has been updated in the enumerator areas for the new general sample at the end of year 2003.
Sampling Design
The sample of this survey is a sub-sample of the Labour Force Survey (LFS) sample, which is conducted every 13 weeks. The sample of LFS is distributed over 13 weeks. The sample of the Household Energy Survey occupies six weeks of the first quarter of 2009 of the LFS.
Sample allocation
The sample allocation was according to the number of households in the stratum using three levels which are District, Locality type (urban,rural,refufugee camps), and the locality population size(Number of households within locality).
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 (3,850) Palestinian households in the 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.
The sample is a two-stage stratified cluster random sample.
Target Population
The target population was all Palestinian households living within the Palestinian Territory.
Sampling Frame
The sampling frame is a master sample from the Population, Housing and Establishment Census 1997 for the households that were visited a second or third or fourth time, while the households to be visited for the first time were chosen from the general frame of Population, Housing and Establishment Census 2007. It consists of a list of enumeration areas used as PSU's in the first stage of selection, and the household frame was used in the enumerator areas to choose households in the second level. The frame of the households has been updated in the enumerator areas for the new general sample at the end of year 2003.
Sampling Design
The sample of this survey is a sub-sample of the Labour Force Survey (LFS) sample, which is conducted every 13 weeks. The sample of LFS is distributed over 13 weeks. The sample of the Household Energy Survey occupies six weeks of the first quarter of 2009 of the LFS.
Sample allocation
The sample allocation was according to the number of households in the stratum using three levels which are District, Locality type (urban,rural,refufugee camps), and the locality population size(Number of households within locality).
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 (3,850) Palestinian households in the 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 3,850 Households were visited in the Palestinian Territory, the end results for the interview become as following:
complete questioner (3,357)
traveling households (43)
housing unit not existed (32)
cases no body in the house (140)
objection cases (47)
housing unit abandoned (177)
household can't give data (26)
other cases (28)
complete questioner (3,357)
traveling households (43)
housing unit not existed (32)
cases no body in the house (140)
objection cases (47)
housing unit abandoned (177)
household can't give data (26)
other cases (28)
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 start 2009
on the level of design strata (governorate,
locality type).
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 start 2009
on the level of design strata (governorate,
locality type).
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2009-02-22 | 2009-04-02 | 52 |
Time periods
| Start date | End date | Cycle |
|---|---|---|
| 2009-01-01 | 2009-01-31 | 52 |
Data Collection Mode
Face-to-face [f2f]
Supervision
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.
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 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.
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 | 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.
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.
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
It includes many aspects of the survey, mainly statistical errors due to the sample, and not statistical errors referring to the workers and survey tools. It includes also the response rates in this 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 society and not all of it. Because this survey is a sample, the data of this survey will be affected by sampling errors due to using a sample and not the whole frame of the society. 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.
The results of wood, charcoal and olive cake suffers from a high variance. This problem should be taken into consideration when dealing with the average household consumption of these types of fuel, keeping in mind that there are no problems in publishing the data for the geographical level (North of the West Bank, Middle of the West Bank, South of the West Bank and Gaza Strip). However, publishing data for the governorate level is not possible due to the high variance, especially for wood, charcoal and olive cake.
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 depends on a type of 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.
It is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for wood, charcoal and olive cake when the interviewee is different between the one who answers for the main survey questionnaire and the one who answers the re-interview questionnaire.
1. Sampling Errors
These types of errors evolved as a result of studying a part of the society and not all of it. Because this survey is a sample, the data of this survey will be affected by sampling errors due to using a sample and not the whole frame of the society. 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.
The results of wood, charcoal and olive cake suffers from a high variance. This problem should be taken into consideration when dealing with the average household consumption of these types of fuel, keeping in mind that there are no problems in publishing the data for the geographical level (North of the West Bank, Middle of the West Bank, South of the West Bank and Gaza Strip). However, publishing data for the governorate level is not possible due to the high variance, especially for wood, charcoal and olive cake.
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 depends on a type of 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.
It is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for wood, charcoal and olive cake when the interviewee is different between the one who answers for the main survey questionnaire and the one who answers the re-interview questionnaire.
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.
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.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 Statistics,
2009. Household Energy Survey:
(January 2009) V1.0 (09-2011).
Ramallah - Palestine.
2009. Household Energy Survey:
(January 2009) V1.0 (09-2011).
Ramallah - Palestine.
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | PNA | diwan@pcbs.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.
implications of any analysis and/or other actions conducted with this data.
Copyright
© June, 2009. All rights reserved. Suggested Citation: Palestinian Central Bureau of Statistics, 2009. Household Energy Survey: Main Results
Metadata production
DDI Document ID
DDI-PSE-PCBS-HES-2009-JAN-V1.0
Producers
| Name | Abbreviation | Affiliation |
|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | PNA |
Date of Metadata Production
2011-09-19
DDI Document version
v1.0