Household Energy Survey 2011
West Bank and Gaza, 2011
Identification
WBG_2011_HES-S1_v01_M
Household Energy Survey 2011
January (First Quarter)
| Name | Country code |
|---|---|
| West Bank and Gaza | WBG |
1-2-3 Survey, phase 2 [hh/123-2]
The energy statistics program has implemented many rounds of the Household Energy Survey during 1999-2011. 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.
The energy statistics program has implemented many rounds of the Household Energy Survey during 1999-2011. 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).
Sample survey data [ssd]
Households
Version
2011-11-01
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
West Bank and Gaza
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
Sample Frame
The sample is a two-stage stratified cluster random sample.
Target Population:
The target population was all Palestinian households whom are living in the Palestinian territory.
Sampling Frame:
The sample of this survey is a part of the main sample of Labor Force Survey (LFS) which implemented periodically every quarter by PCBS since 1995, so this survey implement every quarter in the year (distributed over 13 weeks), the survey attached with the LFS in the first quarter of 2011, and the sample contain of 6 weeks from the eighth week to the thirteen week from the round 60 of labor force. The sample is two stage stratified cluster sample with two stages, first stage we selected a systematic random sample of 211 enumeration areas for the semi round, then in the second stage we select a random area sample of average 16 households from each enumeration area selected in the first stage.
Sampling Design:
The sample of this survey is a sub-sample of the Labor Force Survey (LFS) sample, which has been conducted periodically since September 1995. The sample of LFS is distributed over 13 weeks. The sample of the survey occupies six weeks of the first quarter of 2011 within implementing LFS.
Stratification by number of households:
In designing the sample of the LFS, three levels of stratification by number of households were made:
Stratification by number of households:
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 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 (3,313) Palestinian households in the West Bank and Gaza Strip, where this sample was distributed according to locality type (urban, rural and refugee camps).
The survey sample consists of about 3313 households of which 3029 households completed the interview; whereas 1950 households from the West Bank and 1079 households in Gaza Strip. Weights were modified to account for non-response rate. The response rate in the West Bank reached 95. % while in the Gaza Strip it reached 98%.
Non-response cases
No of cases non-response cases
3029 Household completed
22 Traveling households
19 Unit does not exist
56 No one at home
22 Refused to cooperate
139 Vacant Housing unit
1 No available information
25 Other
3313 Total sample size
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 mid 2011 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 |
|---|---|---|
| 2011-02-20 | 2011-03-31 | 60 |
| Start date | End date | Cycle |
|---|---|---|
| 2011-01-01 | 2011-01-31 | 60 |
| Name | Affiliation |
|---|---|
| Palestinian Central Pureau of Statistics | PNA |
This survey was conducted to cover the month of January 2011. Fieldworkers were distributed to all governorates accordance 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.
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 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
It includes many aspects of the survey, mainly statistical errors due to the sample, and non statistical errors referring to the workers and tools of the survey. It includes also the response rates in the 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 population and not all of it. Because this is a sampled survey, the data will be affected by sampling errors due to using a sample and not the whole frame of the population. Differences appear compared to 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 gasoline, wood, charcoal and olive cake suffer 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 at the geographical level (North of the West Bank, Middle of the West Bank, South of the West Bank and Gaza Strip). However, publishing data at the governorate level is not possible due to the high variance, especially for wood, charcoal and olive cake. The variances for the main indicators of this survey are as follows:
95% Confidence Interval C.V % Standard Error Estimate Variable
Upper Lower Value Unit
99.9 99.5 0.001 0.1 99.8 % Main Electricity Source
66.2 61.2 0.020 1.3 63.7 % Use of Solar Heaters
98.5 97.5 0.003 0.2 98.1 % Use of LPG
273 259 0.013 3.44 266 KWh Average Electricity Consumption
264 191 0.081 18.47 228 Kg Average wood Consumption
50.5 41.8 0.047 2.19 46 Liter Average Gasoline Consumption
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, where some parts depend partially on 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 questions in 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.
The data of the survey is comparable geographically and over time by comparing the data between different geographical areas to data of previous surveys and census 2007.
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| Palestinian Central Pureau 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. |
- 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. - Utilization of "data" or any copies thereof is limited to personal computers normally .
- 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.
Palestinian Central Bureau of Statistics, 2011. Household Energy Survey: (January 2011) V1.0 (11-2011).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.
© June, 2011.Palestinian Central Bureau of Statistics
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_2011_HES-S1_v01_M
| Name | Affiliation | Role |
|---|---|---|
| Palestinian Central Bureau of Statistics | PNA | Collection, processing and dissemination of data |
2014-01-28
Metadata version
Version 1.1 (January 2014)
Adaptation of DDI-PSE-PCBS-HES-2011Jan-V1.0