Household Energy Survey, July 2013
West Bank and Gaza, 2013
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Reference ID
PSE-PCBS-HES-2013-JUL-V1.0
Producer(s)
Palestinian Central Bureau of Statistics
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Aug 31, 2020
Last modified
Aug 31, 2020
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Identification
Survey ID Number
PSE-PCBS-HES-2013-JUL-V1.0
Title
Household Energy Survey, July 2013
Translated Title
مسح الطاقة المنزلي، تموز 2013
Country
| Name | Country code |
|---|---|
| Palestine | PSE |
Study type
Other Household Survey [hh/oth]
Series Information
PCBS implemented the household energy survey 2013. 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 21/08/2013 - 01/10/2013.
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
2014-01-15
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
Palestine.
Universe
The target population was all Palestinian households living in the Palestine.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Palestinian Central Bureau of Statistics | State of Palestine |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| State of Palestine | Survey Fund | |
| Representative Office of Norway | NOR | Survey Fund |
| Swiss Development and Cooperation Agency | SDC | Survey Fund |
| The European Union | EU | Survey Fund |
| The Core Funding Group | CFG | Survey Fund |
Other Identifications/Acknowledgments
| Name | Affiliation | Role |
|---|---|---|
| The Core Funding Group | CFG | Survey Fund |
Sampling
Sampling Procedure
Sample Frame
The sampling frame consists of all the enumeration areas enumerated in 2007: each enumeration area consists of buildings and housing units with an average of around 124 households. These enumeration areas are used as primary sampling units (PSUs) in the first stage of the sampling selection.
Sample size
The estimated sample size is 3,184 households.
Sampling Design:
The sample of this survey is a part of the main sample of the Labor Force Survey (LFS), which is implemented quarterly (distributed over 13 weeks) by PCBS since 1995. This survey was attached to the LFS in the third quarter of 2013 and the sample comprised six weeks, from the eighth week to the thirteen week of the third round of the Labor Force Survey of 2013.
The sample is two-stage stratified cluster sample:
First stage: selection of a stratified systematic random sample of 206 enumeration areas for the semi-round.
Second stage: selection of a random area sample of an average of 16 households from each enumeration area selected in the first stage.
Sample strata
The population was divided by:
1. Governorate (16 governorates)
2. Type of locality (urban, rural, refugee camps)
The sampling frame consists of all the enumeration areas enumerated in 2007: each enumeration area consists of buildings and housing units with an average of around 124 households. These enumeration areas are used as primary sampling units (PSUs) in the first stage of the sampling selection.
Sample size
The estimated sample size is 3,184 households.
Sampling Design:
The sample of this survey is a part of the main sample of the Labor Force Survey (LFS), which is implemented quarterly (distributed over 13 weeks) by PCBS since 1995. This survey was attached to the LFS in the third quarter of 2013 and the sample comprised six weeks, from the eighth week to the thirteen week of the third round of the Labor Force Survey of 2013.
The sample is two-stage stratified cluster sample:
First stage: selection of a stratified systematic random sample of 206 enumeration areas for the semi-round.
Second stage: selection of a random area sample of an average of 16 households from each enumeration area selected in the first stage.
Sample strata
The population was divided by:
1. Governorate (16 governorates)
2. Type of locality (urban, rural, refugee camps)
Response Rate
During fieldwork 3,184 families were visited in the Palestinian Territory, There is 2,692 complete questioner. , this percent was about 85%.
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 a two-stage stratified cluster sample. In the first stage, we calculate the weight of enumeration areas based on the probability of each enumeration area (a systematic random sample). In the second stage, we calculate the weight of households in each enumeration area. The initial weight of households is the result of the product of the weight of the first stage and the weight of the second stage. The final weight of households was obtained after adjustment of the initial weights with the household estimates of mid-2013 in terms of design strata (governorate, locality type).
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2013-08-21 | 2013-10-01 | 18 |
Time periods
| Start date | End date | Cycle |
|---|---|---|
| 2013-07-01 | 2013-07-31 | 18 |
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
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 | State of Palestine |
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 prior to data entry: all questionnaires were edited and coded in the office using the same instructions adopted for editing in the field.
Data entry:
The household energy survey questionnaire was programmed onto handheld devices and data were entered directly using these devices in the West Bank. With regard to Jerusalem J1 and the Gaza Strip, data were entered into the computer in the offices in Ramallah and Gaza. At this stage, data were entered into the computer using a data entry template developed in Access. The data entry program was prepared to satisfy a number of requirements:
· To prevent the duplication of questionnaires during data entry.
· To apply checks on the integrity and consistency of entered data.
· To handle errors in a 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 prior to data entry: all questionnaires were edited and coded in the office using the same instructions adopted for editing in the field.
Data entry:
The household energy survey questionnaire was programmed onto handheld devices and data were entered directly using these devices in the West Bank. With regard to Jerusalem J1 and the Gaza Strip, data were entered into the computer in the offices in Ramallah and Gaza. At this stage, data were entered into the computer using a data entry template developed in Access. The data entry program was prepared to satisfy a number of requirements:
· To prevent the duplication of questionnaires during data entry.
· To apply checks on the integrity and consistency of entered data.
· To handle errors in a 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
Data of this survey may be affected by sampling errors due to use of a sample and not a complete enumeration. Therefore, certain differences are anticipated in comparison with the real values obtained through censuses. The variance was calculated for the most important indicators: the variance table is attached with the final report. There is no problem in the dissemination of results at national and regional level (North, Middle, South of West Bank, Gaza Strip) and by locality. However, the indicator of averages of household consumption for certain fuels by region show a high variance.
Non Sampling Errors
The implementation of the survey encountered non-response where the household was not present at home during the field work visit and where the housing unit was vacant: these made up a high percentage of the non-response cases. The total non-response rate was 10.8%, which is very low when compared to the household surveys conducted by PCBS. The refusal rate was 3.3%, which is very low compared to the household surveys conducted by PCBS and may be attributed to the short and clear questionnaire.
The survey sample consisted of around 3,184 households, of which 2,692 households completed the interview: 1,757 households from the West Bank and 935 households in the Gaza Strip. Weights were modified to account for the non-response rate. The response rate in the West Bank was 86.8 % while in the Gaza Strip it was 94.3%.
Non-Response Cases
No. of cases non-response cases
2,692 Household completed
35 Household traveling
17 Unit does not exist
111 No one at home
102 Refused to cooperate
152 Vacant housing unit
5 No available information
70 Other
3,184 Total sample size
Response and non-response formulas:
Percentage of over coverage errors = Total cases of over coverage x 100%
Number of cases in original sample
= 5.3%
Non response rate = Total cases of non response x 100%
Net Sample size
= 10.8%
Net sample = Original sample - cases of over coverage
Response rate = 100% - non-response rate
= 89.2%
Treatment of non-response cases using weight adjustment
Where
: the primary weight before adjustment for the household i
g: adjustment group by ( governorate, locality type ).
fg: weight adjustment factor for the group g.
: Total weights in group g
cases : Total weights of over coverage
: Total weights of response cases
We calculate fg for each group ,and final we obtain the final household weight () by using the following formula:
Comparability
The data of the survey are comparable geographically and over time by comparing data from different geographical areas to data of previous surveys and the 2007 census.
Data quality assurance procedures
Several procedures were undertaken to ensure appropriate quality control in the survey. Field workers were trained on the main skills prior to data collection, field visits were conducted to field workers to ensure the integrity of data collection, editing of questionnaires took place prior to data entry and a data entry application was used that prevents errors during the data entry process, then the data were reviewed. This was done to ensure that data were error free, while cleaning and inspection of anomalous values were carried out to ensure harmony between the different questions on the questionnaire.
Technical notes
The following are important technical notes on the indicators presented in the results of the survey:
· Some households were not present in their houses and could not be seen by interviewers.
· Some households were not accurate in answering the questions in the questionnaire.
· Some errors occurred due to the way the questions were asked by interviewers.
· Misunderstanding of the questions by the respondents.
· Answering questions related to consumption based on estimations.
· In all calculations related to gasoline, the average of all available types of gasoline was used.
· In this survey, data were collected about the consumption of olive cake and coal in households, but due to lack of relevant data and fairly high variance, the data were grouped with others in the statistical tables.
· The increase in consumption of electricity and the decrease in the consumption of the other types of fuel in the Gaza Strip reflected the Israeli siege imposed on the territory.
Data of this survey may be affected by sampling errors due to use of a sample and not a complete enumeration. Therefore, certain differences are anticipated in comparison with the real values obtained through censuses. The variance was calculated for the most important indicators: the variance table is attached with the final report. There is no problem in the dissemination of results at national and regional level (North, Middle, South of West Bank, Gaza Strip) and by locality. However, the indicator of averages of household consumption for certain fuels by region show a high variance.
Non Sampling Errors
The implementation of the survey encountered non-response where the household was not present at home during the field work visit and where the housing unit was vacant: these made up a high percentage of the non-response cases. The total non-response rate was 10.8%, which is very low when compared to the household surveys conducted by PCBS. The refusal rate was 3.3%, which is very low compared to the household surveys conducted by PCBS and may be attributed to the short and clear questionnaire.
The survey sample consisted of around 3,184 households, of which 2,692 households completed the interview: 1,757 households from the West Bank and 935 households in the Gaza Strip. Weights were modified to account for the non-response rate. The response rate in the West Bank was 86.8 % while in the Gaza Strip it was 94.3%.
Non-Response Cases
No. of cases non-response cases
2,692 Household completed
35 Household traveling
17 Unit does not exist
111 No one at home
102 Refused to cooperate
152 Vacant housing unit
5 No available information
70 Other
3,184 Total sample size
Response and non-response formulas:
Percentage of over coverage errors = Total cases of over coverage x 100%
Number of cases in original sample
= 5.3%
Non response rate = Total cases of non response x 100%
Net Sample size
= 10.8%
Net sample = Original sample - cases of over coverage
Response rate = 100% - non-response rate
= 89.2%
Treatment of non-response cases using weight adjustment
Where
: the primary weight before adjustment for the household i
g: adjustment group by ( governorate, locality type ).
fg: weight adjustment factor for the group g.
: Total weights in group g
cases : Total weights of over coverage
: Total weights of response cases
We calculate fg for each group ,and final we obtain the final household weight () by using the following formula:
Comparability
The data of the survey are comparable geographically and over time by comparing data from different geographical areas to data of previous surveys and the 2007 census.
Data quality assurance procedures
Several procedures were undertaken to ensure appropriate quality control in the survey. Field workers were trained on the main skills prior to data collection, field visits were conducted to field workers to ensure the integrity of data collection, editing of questionnaires took place prior to data entry and a data entry application was used that prevents errors during the data entry process, then the data were reviewed. This was done to ensure that data were error free, while cleaning and inspection of anomalous values were carried out to ensure harmony between the different questions on the questionnaire.
Technical notes
The following are important technical notes on the indicators presented in the results of the survey:
· Some households were not present in their houses and could not be seen by interviewers.
· Some households were not accurate in answering the questions in the questionnaire.
· Some errors occurred due to the way the questions were asked by interviewers.
· Misunderstanding of the questions by the respondents.
· Answering questions related to consumption based on estimations.
· In all calculations related to gasoline, the average of all available types of gasoline was used.
· In this survey, data were collected about the consumption of olive cake and coal in households, but due to lack of relevant data and fairly high variance, the data were grouped with others in the statistical tables.
· The increase in consumption of electricity and the decrease in the consumption of the other types of fuel in the Gaza Strip reflected the Israeli siege imposed on the territory.
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 Statistics, 2013 Household Energy Survey: (July 2013) V1.0 (01-2014).Ramallah - Palestine.
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | State of Palestine | 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 Statistics, Household Energy Survey: Main Results July 2013). Ramallah - Palestine.
Metadata production
DDI Document ID
DDI-PSE-PCBS-HES-JUL-2013-V1.0
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | (PCBS) | State of Palestine | Collection, processing and dissemination data |
Date of Metadata Production
2014-01-15
DDI Document version
Version 1.0 (May / 2012)