Household Energy Survey 2008
West Bank and Gaza, 2008
Identification
WBG_2008_HES-S2_v01_M
Household Energy Survey 2008
April (Second Quarter)
| Name | Country code |
|---|---|
| West Bank and Gaza | WBG |
1-2-3 Survey, phase 2 [hh/123-2]
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.
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.
Sample survey data [ssd]
Households
Version
2011-12-19
Scope
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).
| Topic | Vocabulary | URI |
|---|---|---|
| Natural resources and energy [9.3] | CESSDA | http://www.nesstar.org/rdf/common |
Coverage
Wesst Bank, Gaza Strip
The target population was all Palestinian households living in the Palestinian Territory.
Producers and sponsors
| Name | Affiliation |
|---|---|
| Palestinian Central Bureau of Statistics | PNA |
| Name | Role |
|---|---|
| Palestinian National Authority | Survey Fund |
| Representative Office of Norway | Survey Fund |
| Swiss Development and Cooperation Agency | Survey Fund |
| The Core Funding Group | Survey Fund |
| 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 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.
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
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).
Survey instrument
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 collection
| Start | End | Cycle |
|---|---|---|
| 2008-05-25 | 2008-07-03 | 49 |
| Start date | End date | Cycle |
|---|---|---|
| 2008-04-01 | 2008-04-30 | 49 |
| Name | Affiliation |
|---|---|
| Palestinian Central Bureau of Statistics | PNA |
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.
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 processing
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.
Data appraisal
This 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:
- 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.
- 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.
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.
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | PNA | www.pcbs.gov.ps | diwan@pcbs.gov.ps |
| Is signing of a confidentiality declaration required? | Confidentiality declaration text |
|---|---|
| yes | 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. |
- Pedges 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.
- Utilization of "data" or any copies thereof is limited to personal computers normally .
- Pedges 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.
Palestinian Central Bureau of Statistics, 2008. Household Energy Survey: (April 2008) V1.0 (12-2011).Ramallah - Palestine.
Disclaimer and copyrights
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.
© September, 2008. All rights reserved. Suggested Citation: Palestinian Central Bureau of Statistics, 2008. Household Energy Survey: Main Results
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Users Services Division | Palestinian Central Bureau of Statistics (PCBS) | diwan@pcbs.gov.ps | www.pcbs.gov.ps |
| World Bank Microdata Library | World Bank |
Metadata production
DDI_WBG_2008_HES-S1_v01_M
| Name | Affiliation |
|---|---|
| Palestinian Central Bureau of Statistics | PNA |
2014-01-22
Metadata version
Version 1.1 (January 2014)
Adaptation of PSE-PCBS-HES-2008Apr-V1.0