Household Energy Survey, January 2015
West Bank and Gaza, 2015
Get Microdata
Reference ID
PSE-PCBS-HES-JAN-2015-V1.0
Producer(s)
Palestinian Central Bureau of Statistics
Collections
Created on
Aug 31, 2020
Last modified
Aug 31, 2020
Page views
51061
Downloads
680
Identification
Survey ID Number
PSE-PCBS-HES-JAN-2015-V1.0
Title
Household Energy Survey, January 2015
Translated Title
مسح الطاقة المنزلي، ;كانون ثاني 2015
Country
| Name | Country code |
|---|---|
| Palestine | PSE |
Study type
Other Household Survey [hh/oth]
Series Information
PCBS implemented the household energy survey 2015. 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 24/03/2015 - 31/05/2015.
Abstract
Countries collect official statistics on energy use due to its vital role in the infrastructure, economy and living standards of any given country.
In Palestine, additional attention is warranted for energy statistics due to scarce natural resources, the high cost of energy and high population density. These factors demand comprehensive and high quality statistics.
Due to high residential consumption of energy, PCBS decided to conduct a special Household Energy Survey to provide high quality data about energy consumption by type of energy, the different energy consuming devices used by households, and energy consumption behavior. To this end, a questionnaire was attached as a module within the Area Statistics Survey.
PCBS conducted the Household Energy Survey to cover the month of January 2015 to ascertain energy consumption behavior.
The survey aimed to provide data on energy consumption by households and also on public energy consumption behavior and patterns by type of energy.
The survey covered data on energy indicators in households in Palestine, including statistical data on electricity and other types of fuel consumption in activities like cooking, baking, heating, lighting and water heating.
The report of the Household Energy Survey (January 2015) comprises three chapters: the first chapter briefly describes the main findings; the second chapter presents the methodology used in the survey, including the questionnaire design, sampling design, field work operations, data processing, data quality and technical notes; while the third chapter describes the concepts and definitions.
In Palestine, additional attention is warranted for energy statistics due to scarce natural resources, the high cost of energy and high population density. These factors demand comprehensive and high quality statistics.
Due to high residential consumption of energy, PCBS decided to conduct a special Household Energy Survey to provide high quality data about energy consumption by type of energy, the different energy consuming devices used by households, and energy consumption behavior. To this end, a questionnaire was attached as a module within the Area Statistics Survey.
PCBS conducted the Household Energy Survey to cover the month of January 2015 to ascertain energy consumption behavior.
The survey aimed to provide data on energy consumption by households and also on public energy consumption behavior and patterns by type of energy.
The survey covered data on energy indicators in households in Palestine, including statistical data on electricity and other types of fuel consumption in activities like cooking, baking, heating, lighting and water heating.
The report of the Household Energy Survey (January 2015) comprises three chapters: the first chapter briefly describes the main findings; the second chapter presents the methodology used in the survey, including the questionnaire design, sampling design, field work operations, data processing, data quality and technical notes; while the third chapter describes the concepts and definitions.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Households
Version
Version Description
V1.1: (public use file)
Version Date
2016-01-29
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
It consists of all Palestinian households who are staying normally in Palestine during 2015
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Palestinian Central Bureau of Statistics | Palestine |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Palestine | PSE | 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 |
| Representative Office of Norway | NOR | Survey Fund |
| Swiss Development and Cooperation Agency | SDC | Survey Fund |
| The European Union | EU | Survey Fund |
| Palestine | PSE | Survey Fund |
Sampling
Sampling Procedure
The sampling frame was based on master sample which was update in 2013-2014 for (Expenditure and Consumption Survey (PECS) and Multiple Indicator Cluster Survey (MICS)) surveys, and the frame consists from enumeration areas. These enumeration areas are used as primary sampling units (PSUs) in the first stage of the sampling selection.
Sample size:
The sample size is 7,690 households for Palestine level, 6,609 households responded.
Sampling Design:
The sample is two stage stratified cluster sample as following:
First stage: selection of a PPS random sample of 370 enumeration areas.
Second stage: A random area sample of 20 households from each enumeration area selected in the first stage.
Sample strata:
The population was divided by:
1- Governorate
2- locality type (Urban, rural, camps)
Sample size:
The sample size is 7,690 households for Palestine level, 6,609 households responded.
Sampling Design:
The sample is two stage stratified cluster sample as following:
First stage: selection of a PPS random sample of 370 enumeration areas.
Second stage: A random area sample of 20 households from each enumeration area selected in the first stage.
Sample strata:
The population was divided by:
1- Governorate
2- locality type (Urban, rural, camps)
Response Rate
percent was about 89.5%.
Weighting
The weight of statistical units (sampling units) 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. Thus, in the first stage we calculate the weight of enumeration areas depending on the probability of each enumeration area. second stage we calculate the weight of households in each enumeration area. Initial household weights resulted from the product of the weight of the first stage and the weight of the second stage. Final household weights were obtained after adjustment of initial weights with the household estimates of the beginning of 2015 with regard to design strata (governorate, locality type).
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2015-03-24 | 2015-05-31 |
Time periods
| Start date | End date | Cycle |
|---|---|---|
| 2015-01-01 | 2015-01-31 | 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
Field work activities started on 24/03/2015 and lasted until 31/05/2015. This survey covered the month of January 2015. Field workers were distributed to all governorates according to the sample size of each governorate. The field work team consisted of 55 members, including 10 supervisors, 7 editors and 38 fieldworkers.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | Palestine |
Questionnaires
Questionnaires
The design of the questionnaire 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 Palestine.
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.
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.
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, Household Energy Survey (January 2015) V1.1 (01-2016), Ramallah - Palestine.
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | 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, January 2015
Metadata production
DDI Document ID
DDI-PSE-PCBS-HES-JAN-2015-V1.0
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | (PCBS) | Palestine | Collection, processing and dissemination data |
Date of Metadata Production
2016-01-29
DDI Document version
Version 1.0