<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    	
    <dataIdInfo>
        		
        <idCitation>
            			
            <resTitle>Labour Force Survey Job Permanency</resTitle>
            			
            <date>
                				
                <createDate>2001-07-01</createDate>
                				
                <pubDate>2020-04-16T09:30:44.416-04:00</pubDate>
                				
                <reviseDate>2020-04-16T09:30:45.227-04:00</reviseDate>
                			
            </date>
            			
            <citRespParty>
                				
                <rpOrgName>Statistics Canada</rpOrgName>
                				
                <role>
                    					
                    <RoleCd value="003"/>
                    				
                </role>
                			
            </citRespParty>
            		
        </idCitation>
        		
        <idAbs>The Labour Force Survey (LFS) is the only survey conducted by Statistics Canada designed to provide the official unemployment rate every month, with a monthly sample size of approximately 56,000 households. It is the earliest and most timely indicator of the pulse of the labour market in Canada. Statistics Canada provides a &lt;a href='https://www150.statcan.gc.ca/n1/pub/71-543-g/71-543-g2020001-eng.htm' rel='nofollow ugc' target='_blank'&gt;Guide to the Labour Force Survey&lt;/a&gt;.&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;b&gt;Note:&lt;/b&gt; This dataset primarily focuses on employees: those who do paid work for others. Therefore, totals do not align to totals in &lt;a href='https://data.peelregion.ca/datasets/labour-force-characteristics' rel='nofollow ugc' target='_blank'&gt;Labour Force Characteristics dataset&lt;/a&gt;, which focuses on everyone in the labour force.&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;b&gt;Definitions&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;ul&gt;&lt;li&gt;Employee - A person who does paid work for others.&lt;/li&gt;&lt;li&gt;Work - Includes any work for pay or profit, that is, paid work in the context of an employer-employee relationship or self-employment. It also includes work performed by those working in family business without pay (unpaid family workers).&lt;/li&gt;&lt;li&gt;Permanent - A permanent job is one that is expected to last as long as the employee wants it, business conditions permitting. That is, there is no predetermined termination date.&lt;/li&gt;&lt;li&gt;Temporary - A temporary job has a predetermined end date, or will end as soon as a specified project is completed. Information is collected to allow the sub-classification of temporary jobs into four groups: seasonal; temporary, term or contract, including work done through a temporary help agency; casual job; and other temporary work.&lt;/li&gt;&lt;li&gt;Employment - Employed persons are those who, during the reference week, did any work for pay or profit or had a job and were absent from work. &lt;/li&gt;&lt;li&gt;Self-employment - Working owners of an incorporated business, farm or professional practice, or working owners of an unincorporated business, farm or professional practice. The latter group also includes self-employed workers who do not own a business (such as babysitters and newspaper carriers). Self-employed workers are further subdivided by those with or without paid help. Also included among the self-employed are unpaid family workers. They are persons who work without pay on a farm or in a business or professional practice owned and operated by another family member living in the same dwelling. They represented approximately 1% of the self-employed in 2016.&lt;/li&gt;&lt;li&gt;Unemployment - Unemployed persons are those who, during reference week, were without work, were available for work and were either on temporary layoff, had looked for work in the past four weeks or had a job to start within the next four weeks.&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;</idAbs>
        		
        <idPurp>The permanency dataset includes the number of self-employed, but primarily focuses on employees: those who do paid work for others. There is further classification of employees into full-time, part-time, permanent, and temporary status.</idPurp>
        		
        <idCredit>Statistics Canada</idCredit>
        		
        <dataChar>
            			
            <CharSetCd value="004"/>
            		
        </dataChar>
        		
        <searchKeys>
            			
            
            			
            
            			
            
            			
            
            			
            
            			
            
            			
            
            			
            
            			
            
            			
            
            			
            
            			
            
            		
        <keyword>Open Data</keyword><keyword>Economic Activity</keyword><keyword>employment</keyword><keyword>jobs</keyword><keyword>labour force</keyword><keyword>part time</keyword><keyword>full time</keyword><keyword>employees</keyword><keyword>businesses</keyword><keyword>Labour Force Survey</keyword><keyword>unemployment</keyword><keyword>Statistics Canada</keyword><keyword>seasonal</keyword><keyword>temporary</keyword><keyword>permanent</keyword></searchKeys>
        		
        <dataExt>
            			
            <geoEle>
                				
                <GeoBndBox>
                    					
                    <westBL>-80.16067187494525</westBL>
                    					
                    <eastBL>-79.51122290033702</eastBL>
                    					
                    <southBL>43.4452465528198</southBL>
                    					
                    <northBL>44.00863596585509</northBL>
                    				
                </GeoBndBox>
                			
            </geoEle>
            		
        </dataExt>
        		
        <idPoC>
            			
            <rpOrgName>Statistics Canada</rpOrgName>
            			
            <role>
                				
                <RoleCd value="002"/>
                			
            </role>
            		
        </idPoC>
        		
        <resConst>
            			
            <Consts>
                				
                <useLimit>&lt;a href='https://data.peelregion.ca/pages/license' rel='nofollow ugc'&gt;Open Data Licence for The Regional Municipality of Peel (Version 1.0)&lt;/a&gt;</useLimit>
                			
            </Consts>
            		
        </resConst>
        	
    </dataIdInfo>
    	
    <distInfo>
        		
        <distTranOps>
            			
            <onLineSrc>
                				
                <linkage>https://services6.arcgis.com/ONZht79c8QWuX759/arcgis/rest/services/Labour_Force_Survey_Job_Permanency/FeatureServer</linkage>
                			
            </onLineSrc>
            		
        </distTranOps>
        	
    </distInfo>
    	
    <Esri>
        		
        <ArcGISstyle>ISO 19139 Metadata Implementation Specification GML3.2</ArcGISstyle>
        		
        <CreaDate>2020-04-16</CreaDate>
        		
        <CreaTime>09:29:38.54</CreaTime>
        		
        <ModDate>2020-05-04</ModDate>
        		
        <ModTime>09:06:40.47</ModTime>
        		
        <ArcGISFormat>1.0</ArcGISFormat>
        		
        <ArcGISProfile>ISO19139</ArcGISProfile>
        		
        <PublishStatus>editor:esri.dijit.metadata.editor</PublishStatus>
        	
    </Esri>
    	
    <mdDateSt>2020-04-16</mdDateSt>
    	
    <mdFileID>2662faf209204bb18ea2d5d55dfff7ff</mdFileID>
    	
    <mdChar>
        		
        <CharSetCd value="004"/>
        	
    </mdChar>
    	
    <mdContact>
        		
        <role>
            			
            <RoleCd value="007"/>
            		
        </role>
        	
    </mdContact>
    	
    <Binary>
        		
        <Thumbnail>
            			
            <Data EsriPropertyType="PictureX">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</Data>
            		
        </Thumbnail>
        	
    </Binary>
    
</metadata>