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    Home / Central Data Catalog / HOUSEHOLD-FARMING / PSE-PCBS-HFS-2015-V1.0
Household-Farming

Household Farming Survey 2015

West Bank and Gaza, 2015 - 2016
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Reference ID
PSE-PCBS-HFS-2015-V1.0
Producer(s)
Palestinian Central Bureau of Statistics
Collections
Household Farming
Metadata
DDI/XML JSON
Created on
Sep 27, 2020
Last modified
Sep 27, 2020
Page views
38607
Downloads
598
  • 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-HFS-2015-V1.0
Title
Household Farming Survey 2015
Translated Title
مسح الزراعة الأسرية ‏2015
Country
Name Country code
Palestine PSE
Study type
Agricultural Survey [ag/oth]
Series Information
the survey was carried out first time
Abstract
Data on agriculture is necessary to draw up policies and plans for the future development of this sector. Agriculture plays a vital role and represents a significant share of the Palestinian Gross Domestic Product (GDP), and of the Palestinian labour force. Statistical data on Household Farming is a components of agricultural sector and with direct to the economy; PCBS has henceforth implemented a survey on Household Farming.

Household Farming Survey 2015 conducted from 24 March 2015 to 31 May 2015 aims to provide data on the structure of Household Farming sector to inform future policies and plans for development.

Data include availability of a garden, use of garden in agricultural activity and the reasons of unused arable area, as well as the numbers of reared livestock (domestic), distribution patterns of the production from garden and Livestock (Domestic).
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Household

Version

Version Description
V1.0: Edited, anonymous dataset for public distribution.
Version Date
2016-06-15

Scope

Notes
Data include availability of a garden, use of garden in agricultural activity and the reasons of unused arable area, as well as the numbers of reared livestock (domestic), distribution patterns of the production from garden and Livestock (Domestic).
Topics
Topic Vocabulary URI
housing [10.1] CESSDA Link
Keywords
Keyword Vocabulary URI
Household Farming Household Farming Link

Coverage

Geographic Coverage
Satae of Palestine
Universe
All Palestinian households who reside normally in Palestine during 2015.

Producers and sponsors

Primary investigators
Name Affiliation
Palestinian Central Bureau of Statistics State of Palestine
Funding Agency/Sponsor
Name Abbreviation Role
State of Palestine PSE funding
The Core Funding Group CFG funding
Other Identifications/Acknowledgments
Name Affiliation Role
The Palestinian Government and the Core Funding Group CFG funding

Sampling

Sampling Procedure
Sampling Frame:
The sampling frame was based on a master sample which was updated 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, of which 6,609 households responded.

Sampling Design:
Two stage stratified cluster (PPS) sample as following:

First stage: selection of a PPS random sample of 370 enumeration areas.

Second stage: A random systematic 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
86.0%
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 (PPS) 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 middle of 2015 with regard to design strata (governorate, locality type).

Data Collection

Dates of Data Collection
Start End
2015-03-24 2016-05-31
Time periods
Start date End date
2013-10-01 2014-09-30
Data Collection Mode
Face-to-face [f2f]
Supervision
It was carried visiting to a field .
Data Collection Notes
Fieldwork 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 field workers.
Data Collectors
Name Abbreviation Affiliation
Palestinian Central Bureau of Statistics PCBS Palestinian National Authority

Questionnaires

Questionnaires
The questionnaire for the Household Farming Survey 2015 was designed based on the recommendations of the United Nations, and the questionnaire used for Survey of the Impact of the Israeli Unilateral Measures on the Social, Economic, and Environmental Conditions of the Palestinian Households. The specific situation of Palestine was taken into account, in addition to the requirements of the technical phase of field work and of data processing and analysis.

Data Processing

Data Editing
The data processing stage consisted of the following operations:
1. 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.

2. Data entry:
The Household Farming 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
Data of this survey may be affected by sampling errors due to use of a sample rather than 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
Data Appraisal
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, fieldworkers received intensive training on how to conduct interviews, interview tips, things that should be avoided. The training had, practical and theoretical exercises. Fieldworkers also received a guide 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-based data, Also data entry staff were trained on the data entry program, which was tested before starting the data entry process.

Access policy

Contacts
Name Affiliation Email 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.
Citation requirements
Palestinian Central Bureau of Statistics,Household Farming Survey, 2015. Virsion 1.1 (08,2016).Ramallah - Palestine
Access authority
Name Affiliation Email URL
Palestinian Central Bureau of Statistics State of 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, 2015.

Metadata production

DDI Document ID
DDI-PSE-PCBS-HFS-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
2016-06-15
DDI Document version
V1.0
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