Livestock Survey 2013
West Bank and Gaza, 2012
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Identification
Survey ID Number
PSE-PCBS-LSS-2013-V1.0
Title
Livestock Survey 2013
Translated Title
مسح الثروة الحيوانية 2013
Country
| Name | Country code |
|---|---|
| Palestine | PSE |
Study type
Agricultural Survey [ag/oth]
Series Information
Survey carried out for the first time in 2013
Abstract
The Livestock Survey, 2013 aims to provide data on the structure of the livestock sector as the basis for formulating future policies and plans for development. It will also update existing data on agricultural holdings from the Agricultural Census of 2010 and build a database that will facilitate the collection of agricultural data in the future via administrative records
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Agricultural holding
Version
Version Description
Public use file V0.1
Version Date
2014-05-20
Scope
Notes
Agricultural Statistics
Topics
| Topic | Vocabulary | URI |
|---|---|---|
| agricultural, forestry and rural industry [2.1] | CESSDA | Link |
Keywords
| Keyword | Vocabulary | URI |
|---|---|---|
| Animal Holding | Glossary of Statistical Terms | Link |
Coverage
Geographic Coverage
Palestine
Universe
All animal and mixed holdings in Palestine during 2013.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Palestinian Central Bureau of Statistics | Palestinian National Authority |
| Ministry of Agriculture | Palestinian National Authority |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Core Funding Group | CFG | Financial support |
| Europe United | EU | Financial support |
Other Identifications/Acknowledgments
| Name | Role |
|---|---|
| Core Funding Group | Financial support |
| Europe United | Financial support |
Sampling
Sampling Procedure
Sampling Frame
The animal and mixed agricultural holdings frame was created from the agricultural census data of 2010 and extracted based on the following criteria: any number of cattle or camels, at least five sheep or goats, at least 50 poultry birds (layers and broilers), or 50 rabbits, or other poultry like turkeys, ducks, common quail, or a mixture of them, or at least three beehives controlled by the holder.
A master sample of 7,297 holdings from the animal and mixed holdings frame was updated prior to sample selection.
Sample Size
The estimated sample size is 5,000 holdings.
Sample Design
The sample is a one-stage stratified systematic random sample.
Sample Strata
The animal and mixed holdings are stratified into three levels, which are:
1. Governorates.
2. The main agricultural activities were identified by the highest holding size in the category: these activities are the raising cattle, raising sheep and goats, raising camels, poultry farming, beehives, mixed animals.
The size of the holdings were classified into five categories
The animal and mixed agricultural holdings frame was created from the agricultural census data of 2010 and extracted based on the following criteria: any number of cattle or camels, at least five sheep or goats, at least 50 poultry birds (layers and broilers), or 50 rabbits, or other poultry like turkeys, ducks, common quail, or a mixture of them, or at least three beehives controlled by the holder.
A master sample of 7,297 holdings from the animal and mixed holdings frame was updated prior to sample selection.
Sample Size
The estimated sample size is 5,000 holdings.
Sample Design
The sample is a one-stage stratified systematic random sample.
Sample Strata
The animal and mixed holdings are stratified into three levels, which are:
1. Governorates.
2. The main agricultural activities were identified by the highest holding size in the category: these activities are the raising cattle, raising sheep and goats, raising camels, poultry farming, beehives, mixed animals.
The size of the holdings were classified into five categories
Response Rate
Response rate was 94.3%
Weighting
Weight is known as an inverse probability of selection of the unit in the sample and can be explained as how units are represented in the population from the unit in the sample. The weights were adjusted for non-response during data processing.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2012-10-21 | 2012-11-21 |
Time periods
| Start date | End date |
|---|---|
| 2013 | 2013 |
Data Collection Mode
Face-to-face [f2f]
Supervision
Special follow-up forms were designed for the submission and receipt of questionnaires by all levels, as well as the daily achievements of the interviewers. Supervisors had the task of allocating work to the teams using the map and the sample list. They provided daily reports to the field work coordinator clarifying the interviews completed, cases of refusal, non-applicable cases and other interview results. The report was then sent to the project manager. In addition, technicians and field work coordinators conducted visits to monitor field work, ensure the quality of data and to assist in solving any problems faced by the field work team.
Data Collection Notes
PCBS prepared a plan to execute the field work of the main survey in the West Bank and Gaza Strip. This plan included formulation of the field work team, the field work tools (questionnaires, maps, sample lists), and the distribution of field workers to different governorates. In total, there were 44 field workers, ten supervisors, and three field work editors in West Bank governorates, plus seven field workers, two supervisors, two editors and a field work coordinator in Gaza Strip governorates. The field work for the survey lasted from 21 October to 1 December 2013.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | Palestinian National Authority |
Questionnaires
Questionnaires
The questionnaire for the Livestock Survey 2013 was designed based on the recommendations of the Food and Agriculture Organization of the United Nations (FAO) and the questionnaire used for the Agricultural Census of 2010. The special situation of Palestine was taken into account, in addition to the specific requirements of the technical phase of field work and of data processing and analysis
The questionnaire consisted of the main items as follows:
Identification data:
Indicators about the holder, the holding and the respondent.
Data on holder:
Included indicators on the sex, age, educational attainment, number in household, legal status of holder, and other indicators.
Holding data:
Included indicators on the type of holding, tenure, main purpose of production, and other indicators.
Livestock data:
Included indicators on the type, number, strain, age, sex, system of raising, main purpose of raising, number acquired or disposed of, quantity and value production, slaughtered in a holding, value of slaughtered, and other indicators.
Poultry data:
Included indicators on the type, area of worked barns, average cycles per year, system of raising, quantity and value production, and other indicators.
Domestic poultry & equines data:
Included indicators on type and number.
Beehive data:
Included indicators such as the type, number, strain, quantity and value of production??.
Agricultural practices data:
Included indicators on agricultural practices for livestock, poultry and bees.
Agricultural labor force data:
Included indicators on the agricultural labor force in a holding such as the number, employment status, sex, age, average daily working hours, number of work days in an agricultural year and average daily wage.
Agricultural machinery and equipment:
Included indicators on the number and source of machinery.
Agricultural buildings data:
Included indicators on the type and area of building.
Animal intermediate consumption:
Included indicators on the type, quantity and value of animal intermediate consumption.
The questionnaire consisted of the main items as follows:
Identification data:
Indicators about the holder, the holding and the respondent.
Data on holder:
Included indicators on the sex, age, educational attainment, number in household, legal status of holder, and other indicators.
Holding data:
Included indicators on the type of holding, tenure, main purpose of production, and other indicators.
Livestock data:
Included indicators on the type, number, strain, age, sex, system of raising, main purpose of raising, number acquired or disposed of, quantity and value production, slaughtered in a holding, value of slaughtered, and other indicators.
Poultry data:
Included indicators on the type, area of worked barns, average cycles per year, system of raising, quantity and value production, and other indicators.
Domestic poultry & equines data:
Included indicators on type and number.
Beehive data:
Included indicators such as the type, number, strain, quantity and value of production??.
Agricultural practices data:
Included indicators on agricultural practices for livestock, poultry and bees.
Agricultural labor force data:
Included indicators on the agricultural labor force in a holding such as the number, employment status, sex, age, average daily working hours, number of work days in an agricultural year and average daily wage.
Agricultural machinery and equipment:
Included indicators on the number and source of machinery.
Agricultural buildings data:
Included indicators on the type and area of building.
Animal intermediate consumption:
Included indicators on the type, quantity and value of animal intermediate consumption.
Data Processing
Data Editing
Preparation of Data Entry Program
The data entry program was prepared using Oracle software and data entry screens were designed. Rules of data entry were established to guarantee successful entry of questionnaires and queries were used to check data after each entry. These queries examined variables on the questionnaire.
2.5.2 Data Entry
Having designed the data entry program and tested it to verify readiness, and after training staff on data entry programs, data entry began on 4 November 2013 and finished on 8 January 2014 with 15 staff engaged in the data entry process.
2.5.3 Editing of Entered Data
Special rules were formulated for editing the stored data to guarantee reliability and ensure accurate and clean data.
2.5.4 Results Extraction and Data Tabulation
An SPSS program was used for extracting the results and empty tables were prepared in advance to facilitate the tabulation process. The report tables were formulated based on international recommendations, while taking the Palestinian situation into consideration in the data tabulation of the survey.
The data entry program was prepared using Oracle software and data entry screens were designed. Rules of data entry were established to guarantee successful entry of questionnaires and queries were used to check data after each entry. These queries examined variables on the questionnaire.
2.5.2 Data Entry
Having designed the data entry program and tested it to verify readiness, and after training staff on data entry programs, data entry began on 4 November 2013 and finished on 8 January 2014 with 15 staff engaged in the data entry process.
2.5.3 Editing of Entered Data
Special rules were formulated for editing the stored data to guarantee reliability and ensure accurate and clean data.
2.5.4 Results Extraction and Data Tabulation
An SPSS program was used for extracting the results and empty tables were prepared in advance to facilitate the tabulation process. The report tables were formulated based on international recommendations, while taking the Palestinian situation into consideration in the data tabulation of the survey.
Data Appraisal
Estimates of Sampling Error
Includes multiple aspects of data quality, beginning with the initial planning of the survey up to the final publication, plus how to understand and use the data. There are seven dimensions of statistical quality: relevance, accuracy, timeliness, accessibility, comparability, coherence, and completeness.
2.6.1 Data Accuracy
Includes checking the accuracy of data in multiple aspects, primarily statistical errors due to the use of a sample, as well as errors due to non-statistical staff and survey tools, in addition to response rates in the survey and the most important effects on estimates. This section includes the following:
Statistical Errors
Survey data may be affected by sampling errors resulting from the use of a sample instead of a census. Variance estimation was carried out for the main estimates and the results were acceptable within the publishing domains as shown in the tables of variance estimation.
2.6.1 Data Accuracy
Includes checking the accuracy of data in multiple aspects, primarily statistical errors due to the use of a sample, as well as errors due to non-statistical staff and survey tools, in addition to response rates in the survey and the most important effects on estimates. This section includes the following:
Statistical Errors
Survey data may be affected by sampling errors resulting from the use of a sample instead of a census. Variance estimation was carried out for the main estimates and the results were acceptable within the publishing domains as shown in the tables of variance estimation.
Data Appraisal
Non-sampling Errors
Non-statistical errors are probable in all stages of the project, during data collection and processing. These are referred to as non-response errors, interviewing errors, and data entry errors. To avoid and reduce the impact of these errors, efforts were exerted through intensive training on how to conduct interviews and factors to be followed and avoided during the interview, in addition to practical and theoretical exercises.
Re-interview survey was conducted for 5% of the main survey and re-interview data proved that there is high level of consistency with the main indicators.
Non-statistical errors are probable in all stages of the project, during data collection and processing. These are referred to as non-response errors, interviewing errors, and data entry errors. To avoid and reduce the impact of these errors, efforts were exerted through intensive training on how to conduct interviews and factors to be followed and avoided during the interview, in addition to practical and theoretical exercises.
Re-interview survey was conducted for 5% of the main survey and re-interview data proved that there is high level of consistency with the main indicators.
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Division of user services | Palestinian National Authority | 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.
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
License Agreement for the Use of Micro Data in PCBS
items(10,11,12) as following:
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.
ar any professional, administrative or financial responsibility for any losses incurred as a result of changes in the variables values.
items(10,11,12) as following:
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.
ar 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 2014, Livestock Survey 2013. V 1.0 (05-2014). Ramallah - Palestine.
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | 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
© All Rights Reserved. Palestinian Central Bureau of Statistics, Livestock Survey 2013
Metadata production
DDI Document ID
DDI-PSE-PCBS-LSS-2013-V1.0
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | Palestine | Production survey from idea to publication |
Date of Metadata Production
2014-05-20
DDI Document version
V1.0Version 1.0 (May / 2014)