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    Home / Central Data Catalog / HOUSEHOLD-ENERGY / PSE-PCBS-HES-2010-JAN-V1.0
Household-Energy

Household Energy Survey January 2010

West Bank and Gaza, 2010
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Reference ID
PSE-PCBS-HES-2010-JAN-V1.0
Producer(s)
Palestinian Central Bureau of Statistics
Collections
Household Energy
Metadata
DDI/XML JSON
Created on
Aug 31, 2020
Last modified
Aug 31, 2020
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  • Study Description
  • Data Description
  • Downloads
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data Collection
  • Questionnaires
  • Data Processing
  • Data Appraisal
  • Access policy
  • Disclaimer and copyrights
  • Metadata production

Identification

Survey ID Number
PSE-PCBS-HES-2010-JAN-V1.0
Title
Household Energy Survey January 2010
Translated Title
مسح الطاقة المنزلي كانون اول 2010
Country
Name Country code
Palestine PSE
Study type
Other Household Health Survey [hh/hea]
Series Information
The energy statistics program has
implemented sixteen 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.
Abstract
The energy statistics program has
implemented sixteen 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, 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
2011-09-04

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).
Topics
Topic Vocabulary URI
natural resources and energy [9.3] CESSDA Link
Keywords
Keyword Vocabulary URI
Electricity Glossary of Statistical Terms Link
Fuel Glossary of Statistical Terms Link

Coverage

Geographic Coverage
Palestinian territory
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 NOR
Swiss Development and Cooperation Agency SDC
The Core Funding Group CFG
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
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 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.

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 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 (2,655) Palestinian households in the West Bank and Gaza Strip, where this sample has been distributed according to locality type (urban, rural and refugee camps).
Response Rate
During fieldwork 2,655 households were
visited in the Palestinian Territory. 2,363
questionnaire were Completed in the
Palestinian Territory. Which were 89% of the households were
visited
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 2010 on the level of design strata (governorate, locality type).

Data Collection

Dates of Data Collection
Start End Cycle
2010-02-21 2010-04-01 56
Time periods
Start date End date
2010-01-01 2010-01-31
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.
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 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.

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 survey tools. 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 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 from the one who answered for the main survey questionnaire and the one who answered 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.

Access policy

Contacts
Name Affiliation Email 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.
Citation requirements
Palestinian Central Bureau of Statistics,
2010. Household Energy Survey:
(January 2010) V1.0 (09-2011).
Ramallah - Palestine.
Access authority
Name Affiliation Email URL
Palestinian Central Bureau 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. Suggested Citation: Palestinian Central Bureau of Statistics, 2010. Household Energy Survey: Main Results

Metadata production

DDI Document ID
DDI-PSE-PCBS-HES-2010-JAN-V1.0
Producers
Name Abbreviation Affiliation
Palestinian Central Bureau of Statistics PCBS PNA
Date of Metadata Production
2011-09-04
DDI Document version
V1.0
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