Household Energy Survey, April 2008
West Bank and Gaza, 2008
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Reference ID
PSE-PCBS-HES-2008-APR-V1.0
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Palestinian Central Bureau of Statistics
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Identification
Survey ID Number
PSE-PCBS-HES-2008-APR-V1.0
Title
Household Energy Survey, April 2008
Translated Title
مسح الطاقة المنزلي، نيسان 2008
Country
| Name | Country code |
|---|---|
| Palestine | PSE |
Study type
1-2-3 Survey, phase 2 [hh/123-2]
Series Information
The energy statistics program has
implemented maney rounds of the
Household Energy Survey during
1999-2008.
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 maney rounds of the
Household Energy Survey during
1999-2008.
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.
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
2011-12-19
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 |
|---|---|---|
| Representative Office of Norway | NOR | Survey Fund |
| Swiss Development and Cooperation Agency | SDC | Survey Fund |
| The Core Funding Group | CFG | Survey Fund |
Sampling
Sampling Procedure
Target Population
All Palestinian households living within the Palestinian Territory.
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 is a two-stage stratified cluster random sample, which is a sub-sample of Labour Force Survey (LFS) sample, that is conducted every 13 weeks. The total sample of Household Energy Survey is about 3,094 households occupies six weeks of the second quarter 2008 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 (3,094) 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.
All Palestinian households living within the Palestinian Territory.
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 is a two-stage stratified cluster random sample, which is a sub-sample of Labour Force Survey (LFS) sample, that is conducted every 13 weeks. The total sample of Household Energy Survey is about 3,094 households occupies six weeks of the second quarter 2008 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 (3,094) 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 2,649 Households were visited in the Palestinian Territory, the end results for the interview become as following:
(2,251) Complete questioner
(31) Traveling households
(24) Housing unit not existed
(109) Cases no body in the house
(43) Objection cases
(137) Housing unit abandoned
(21) Household can't give data
(33) Other cases
The percent of completed questioner were 85% of the total questioner
(2,251) Complete questioner
(31) Traveling households
(24) Housing unit not existed
(109) Cases no body in the house
(43) Objection cases
(137) Housing unit abandoned
(21) Household can't give data
(33) Other cases
The percent of completed questioner were 85% of the total questioner
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 midle of 2008
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 midle of 2008
on the level of design strata (governorate,
locality type).
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2008-05-25 | 2008-07-03 | 49 |
Time periods
| Start date | End date | Cycle |
|---|---|---|
| 2008-04-01 | 2008-04-30 | 49 |
Data Collection Mode
Face-to-face [f2f]
Supervision
Fieldwork teams were distributed to all districts 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.
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 entered template written in CSpro. Data entry was done decentralized in Nablus, Hebron, in addition to the central office in Al-Bireh. The data entry program was prepared to satisfy a number of requirements such as:
·Duplication of the questionnaires on the computer screen.
·Logical and consistency check of data entered.
·Possibility for internal editing of question answers.
·Maintaining a minimum of digital data entry and fieldwork errors.
·User friendly handling.
·Possibility of transferring data into another format to be used and analyzed using other statistical analytic systems 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 entered template written in CSpro. Data entry was done decentralized in Nablus, Hebron, in addition to the central office in Al-Bireh. The data entry program was prepared to satisfy a number of requirements such as:
·Duplication of the questionnaires on the computer screen.
·Logical and consistency check of data entered.
·Possibility for internal editing of question answers.
·Maintaining a minimum of digital data entry and fieldwork errors.
·User friendly handling.
·Possibility of transferring data into another format to be used and analyzed using other statistical analytic systems such as SPSS.
Data Appraisal
Estimates of Sampling Error
It includes many aspects of the survey mainly the statistical errors due to the sample, and also not statistical errors refers to the workers and survey tools, and 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, and because this survey is a sample based the data of this survey will be affected by sampling errors due to using a sample and not the whole frame of the society, and so differences appear compared with the actual values that could be obtained through 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, a tension should be taken when dealing with the average household consumption of these types of fuel, keeping I mind that there is no problem in publishing the data among the geographical level (North of the West Bank, Middle of the West Bank, South of the West Bank and Gaza Strip), publishing data among the governorate level is not possible due to the high variance especially to the 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 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:
1.Some of the households were not in their houses and the interviewers couldn't meet them.
2.Some of the households didn't show attention toward the questionnaire.
3.Some errors occurred due to the way the questions were asked by interviewers.
4.Misunderstood of the questions by the respondents.
5.Answering the questions related to consumption by making estimations.
It is important to mention that a 5% from the sample of this survey was re-interviewed, 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 consumed when the interviewer 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, and because this survey is a sample based the data of this survey will be affected by sampling errors due to using a sample and not the whole frame of the society, and so differences appear compared with the actual values that could be obtained through 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, a tension should be taken when dealing with the average household consumption of these types of fuel, keeping I mind that there is no problem in publishing the data among the geographical level (North of the West Bank, Middle of the West Bank, South of the West Bank and Gaza Strip), publishing data among the governorate level is not possible due to the high variance especially to the 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 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:
1.Some of the households were not in their houses and the interviewers couldn't meet them.
2.Some of the households didn't show attention toward the questionnaire.
3.Some errors occurred due to the way the questions were asked by interviewers.
4.Misunderstood of the questions by the respondents.
5.Answering the questions related to consumption by making estimations.
It is important to mention that a 5% from the sample of this survey was re-interviewed, 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 consumed when the interviewer 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 (PCBS) | diwan@pcbs.gov.ps | www.pcbs.gov.ps |
Confidentiality
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, 2008. Household Energy Survey:(April 2008) V1.0 (12-2011).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
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
© September, 2008. All rights reserved. Suggested Citation: Palestinian Central Bureau of Statistics, 2008. Household Energy Survey: Main Results
Metadata production
DDI Document ID
DDI-PSE-PCBS-HES-2008-ABR-V1.0
Producers
| Name | Abbreviation | Affiliation |
|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | PNA |
Date of Metadata Production
2011-12-19
DDI Document version
V1.0