Household environment survey 2015
West Bank and Gaza, 2015
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Reference ID
PSE-PCBS-HENS-2015-V1.0
Producer(s)
Palestinian Central Bureau of Statistics
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Mar 25, 2021
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Identification
Survey ID Number
PSE-PCBS-HENS-2015-V1.0
Title
Household environment survey 2015
Translated Title
مسح البيئة المنزلي 2015
Country
| Name | Country code |
|---|---|
| Palestine | PSE |
Study type
Other Household Survey [hh/oth]
Abstract
Environmental statistics relating to households are an important instrument for making decisions, planning, and drawing up strategies for the environment. Due to the lack of data on this subject in Palestine, PCBS is building and developing a database on the environment in the household sector.
This survey is based on a household sample survey conducted during the period from 24 March 2015 to 31 May 2015. It provides basic statistics on various aspects of the environment, including water, solid waste, wastewater, noise, and air pollution. A special questionnaire was designed in accordance with United Nations standards and recommendations in the field of environmental statistics and adapted to Palestinian conditions.
This survey presents data on various environmental household indicators in Palestine and on water consumption for the household sector by water source, methods of solid waste disposal and their main components, the disposal of wastewater, and the existence of cesspits and water wells, in addition to exposure to noise and air pollution by source and time.
This report is divided into three chapters: the first chapter defines the main findings of the report. The second chapter explains the methodology of data collection and tabulation, in addition to details regarding data quality and estimates of data sources. The third chapter contains the concepts and definitions used in this report
This survey is based on a household sample survey conducted during the period from 24 March 2015 to 31 May 2015. It provides basic statistics on various aspects of the environment, including water, solid waste, wastewater, noise, and air pollution. A special questionnaire was designed in accordance with United Nations standards and recommendations in the field of environmental statistics and adapted to Palestinian conditions.
This survey presents data on various environmental household indicators in Palestine and on water consumption for the household sector by water source, methods of solid waste disposal and their main components, the disposal of wastewater, and the existence of cesspits and water wells, in addition to exposure to noise and air pollution by source and time.
This report is divided into three chapters: the first chapter defines the main findings of the report. The second chapter explains the methodology of data collection and tabulation, in addition to details regarding data quality and estimates of data sources. The third chapter contains the concepts and definitions used in this report
Kind of Data
Sample survey data [ssd]
Unit of Analysis
household
Version
Version Description
V1.0
Version Date
2015-12-31
Scope
Notes
This survey presents data on various environmental household indicators in Palestine and on water consumption for the household sector by water source, methods of solid waste disposal and their main components, the disposal of wastewater, and the existence of cesspits and water wells, in addition to exposure to noise and air pollution by source and time.
The questionnaire covered the following items:
· Source of water supply in houses.
· Household solid waste disposal, its components, and its approximate quantity.
· Wastewater disposal and the existence and use of cesspits in houses.
· Air pollution in the area of the house by smell, dust and smoke.
· Exposure to noise.
The questionnaire covered the following items:
· Source of water supply in houses.
· Household solid waste disposal, its components, and its approximate quantity.
· Wastewater disposal and the existence and use of cesspits in houses.
· Air pollution in the area of the house by smell, dust and smoke.
· Exposure to noise.
Topics
| Topic | Vocabulary | URI |
|---|---|---|
| social behaviour and attitudes [13.6] | CESSDA | Link |
Coverage
Geographic Coverage
It consists of all Palestinian households who are staying normally in Palestine during 2015.
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 | State of Palestine |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Palestinian central Bureau of Statistics | State of Palestine | data collection, processing and analysis |
Funding Agency/Sponsor
| Name | Abbreviation |
|---|---|
| Palestine | PSE |
| Core Fundinf Group | CFG |
Other Identifications/Acknowledgments
| Name | Affiliation | Role |
|---|---|---|
| Core Funding Group | CFG | funding the survey |
Sampling
Sampling Procedure
Sample and Frame
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.
Sampling Design:
Two stage stratified cluster sample as following:
First stage: selection of a PPS random sample of 370 enumeration areas.
Second stage: A systematic random 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.
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.
Sampling Design:
Two stage stratified cluster sample as following:
First stage: selection of a PPS random sample of 370 enumeration areas.
Second stage: A systematic random 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.
Response Rate
7,690 households had been reached as a representative sample to Palestine, where the number of completed questionnaires amounted to 6,609 questionnaires of which 4,536 questionnaires were in West Bank and 2,073 questionnaires in Gaza Strip. Weights were amended at the level of design strata to modify effects of refusals rates and non response.
Response rate = 100% - the percentage of non-response.
And equal to = 89.5%
Response rate = 100% - the percentage of non-response.
And equal to = 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 |
|---|---|
| 2015-03-24 | 2015-05-31 |
Data Collection Mode
Face-to-face [f2f]
Supervision
Field work activities started on 24/03/2015 and lasted until 31/05/2015. 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 Collection Notes
This part presents important technical notes on the indicators presented in the results of the survey:
Data concerning the assessment of data quality, solid waste and water quantities are reported data.
The definition of the water network includes a private contractor in which the owner of an artisan well sells water to some of the inhabitants of a community for a fee.
Data concerning noise, smell, dust and smoke indicators were based on the respondent's evaluation.
Variance exists between some indicators between the West Bank and Gaza Strip due to conditions in Gaza Strip.
Care must be taken in making a comparison between the data published in this report and the reports published before, due to the differences in methodology.
Data concerning the assessment of data quality, solid waste and water quantities are reported data.
The definition of the water network includes a private contractor in which the owner of an artisan well sells water to some of the inhabitants of a community for a fee.
Data concerning noise, smell, dust and smoke indicators were based on the respondent's evaluation.
Variance exists between some indicators between the West Bank and Gaza Strip due to conditions in Gaza Strip.
Care must be taken in making a comparison between the data published in this report and the reports published before, due to the differences in methodology.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | State of Palestine |
Questionnaires
Questionnaires
The environmental questionnaire was designed in accordance with similar international experiences and with 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 Environmental survey questionnaire was programmed and the data were entered into the computer in the offices in Nablus, Hebron, 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 Environmental survey questionnaire was programmed and the data were entered into the computer in the offices in Nablus, Hebron, 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
The concept of data quality covers many aspects, starting from the initial planning of the survey to the dissemination of the results and how well users understand and use the data. There are seven dimensions of statistical quality: relevance, accuracy, timeliness and punctuality, accessibility and clarity, comparability, coherence and completeness.
Accuracy
This includes many aspects of the survey, mainly statistical errors due to the use of a sample, and also non-statistical errors from workers and survey tools. It also includes the response rates in this survey and their effect on the assumptions. This section includes:
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 expected in comparison with the real values obtained through censuses. Variances were calculated for the most important indicators and the variance table is attached with the final report. There is no problem with the dissemination of results on national and regional level (North, Middle, South West Bank, Gaza Strip) or by locality type.
Non Sampling Errors:
The non-sampling errors are possible to occur at all phases of implementing the project, through data collection and entry which could be summarized as non-response errors, and responding errors (respondents), and interview errors (fieldworkers) and data-entry errors. To avoid errors and reduce the impact, it had been made ??great efforts through extensive training of fieldworkers on how to conduct interviews, things that ought to be followed during an interview, things that should be avoided, making some practical and theoretical exercises during training session, in addition to providing them with a manual booklet for fieldworkers which contained a private key questions of questionnaire, mechanism to fill questionnaire and methods of dealing with respondents to reduce refusal rates and providing correct and non-biased data, Also data entry staff were trained on the data entry program, which was tested before starting the data entry process.
As for office work, they had been trained for a special auditing of questionnaires and error detection, which greatly reduced rates of errors during field work. In order to reduce the percentage of errors during data entry, the program was designed to enter data so as not to allow any mistakes during the process and contained many of logical terms. This process led to disclosure of most of errors that had not been found in earlier phases of the work, where they were correcting all the errors that had been discovered.
After the completion of the aforesaid audits, data consistency was examined by computer using frequency and cross tables as turned out to be quite consistent, Errors impact was not detectable on data quality. This in turn gave a good impression of those in charge of the survey that we could rely on this data and extract reliable statistical and high significant indicators on the reality of corruption in Palestine.
Accuracy
This includes many aspects of the survey, mainly statistical errors due to the use of a sample, and also non-statistical errors from workers and survey tools. It also includes the response rates in this survey and their effect on the assumptions. This section includes:
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 expected in comparison with the real values obtained through censuses. Variances were calculated for the most important indicators and the variance table is attached with the final report. There is no problem with the dissemination of results on national and regional level (North, Middle, South West Bank, Gaza Strip) or by locality type.
Non Sampling Errors:
The non-sampling errors are possible to occur at all phases of implementing the project, through data collection and entry which could be summarized as non-response errors, and responding errors (respondents), and interview errors (fieldworkers) and data-entry errors. To avoid errors and reduce the impact, it had been made ??great efforts through extensive training of fieldworkers on how to conduct interviews, things that ought to be followed during an interview, things that should be avoided, making some practical and theoretical exercises during training session, in addition to providing them with a manual booklet for fieldworkers which contained a private key questions of questionnaire, mechanism to fill questionnaire and methods of dealing with respondents to reduce refusal rates and providing correct and non-biased data, Also data entry staff were trained on the data entry program, which was tested before starting the data entry process.
As for office work, they had been trained for a special auditing of questionnaires and error detection, which greatly reduced rates of errors during field work. In order to reduce the percentage of errors during data entry, the program was designed to enter data so as not to allow any mistakes during the process and contained many of logical terms. This process led to disclosure of most of errors that had not been found in earlier phases of the work, where they were correcting all the errors that had been discovered.
After the completion of the aforesaid audits, data consistency was examined by computer using frequency and cross tables as turned out to be quite consistent, Errors impact was not detectable on data quality. This in turn gave a good impression of those in charge of the survey that we could rely on this data and extract reliable statistical and high significant indicators on the reality of corruption in Palestine.
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Division of user services | Palestinian Central Bureau of Statistics | Dus@pcbs.gov.ps | www.pcbs.gov.ps |
| Mail office | 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.
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, 2015. Household Environmental Survey - 2015: Main Findings . Ramallah - Palestine.
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | State of Palestine | diwan@pcbs.gov.ps | www.pcbs.gov.ps |
| Palestinian Central Bureau of Statistics | State of Palestine | dus@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,2015 V1.0 Ramallh - Palestine
Metadata production
DDI Document ID
PSE-PCBS-HENS-2015-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
2020-10-14
DDI Document version
V1.0