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 C= over   A= bout   T= OC   1=    2=    3=    4=    5=    6=    7=    8=    9=    1= 0   1= 1   1= 2   1= 3   1= 4   1= 5   1= 6   1= 7   1= 8   1= 9   2= 0   2= 1 
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  A Profile of Socioeco= nomic Measures  
     
  Selected Geographies: Erie County OH

Benchmark Geographies: United States
 
  Produced by   
  Economic Profile System-Human Dimensions Toolkit  
  EPS-HDT  
  February 1, 2011  
 
 
<= /td>
= Style Name Contents
Heading 1 - Black A Profile of Socioeconomic Measures
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Heading 2 - Black
Heading 2 - Black Selected Geographies: Erie County OH

Benchmark Geographies: United States
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Body Text - Red Produced by 
Body Text - Red Economic Profile System-Human Dimensions Toolkit
Body Text - Red February 1, 2011
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  About EPS-HDT  
  About the Economic Profile System-Human Dimensions Toolkit (EPS-HDT)  
   
     
  EPS-HDT i= s a free, easy-to-use software application that produces detailed socioeconomic rep= orts of counties, states, and regions, including custom aggregations.  
   
   
   
  EPS-HDT u= ses published statistics from federal data sources, including Bureau of Econo= mic Analysis and Bureau of the Census, U.S. Department of Commerce; and Burea= u of Labor Statistics, U.S. Department of Labor.   
   
   
  The Burea= u of Land Management and Forest Service have made significant financial and intellectual contributions to the operation and content of EPS-HDT.   
   
   
  See www.headwaterseconomics.org/eps-hdt for more information about the other tools and capabilit= ies of EPS-HDT.   
   
  For technical questio= ns, contact Ray Rasker at eps-hdt@headwaterseconomics.= org, or 406-570-7044.  
   
  3Dhwecon400trans.gif  
   
   
   
   
   
   
   
  www.headwaterseconomics.org  
   
  3D"BLM_TRI_sm.jpg"Headwaters Economics is an independent, nonprofit research group. Our mission is to improve community development and land management decisions in the West.  
   
   
   
   
   
   
   
   
   
   
  www.blm.gov=  
   
  The Bureau of Land Management, an agency within = the U.S. Department of the Interior, administers 249.8 million acres of Ameri= ca's public lands, located primarily in 12 Western States.  It is the mission of the Bureau = of Land Management to sustain the health, diversity, and productivity of the public lands for the use and enjoyment of present and future generations.   
   
   
   
 
3D"FS_Shield_sm.jpg"
 
   
   
   
   
   
   
   
  www.fs.fed.= us  
   
  The Forest Service, an agency of the U.S. Depart= ment of Agriculture, administers national forests and grasslands encompassing = 193 million acres.  The Forest Service’s mission is to achieve quality land management under the &= quot;sustainable multiple-use management concept" to meet the diverse needs of people while protecting the resource. Significant intellectual, conceptual, and content contributions were provided by the following individuals: Dr. Pat Reed, Dr. Jessica Montag, Doug Smith, M.S., Fred Clark, M.S., Dr. Susan A. Winter, and Dr. Ashley Goldhor-Wilcock.   
   
   
   
   
   
   
     
     
     
  About EPS-HDT  
 
 
=
= Style Name Contents
Heading 1 - Black About EPS-HDT
Heading 2 - HE Blue= About the Economic Profile System-Human Dimensions Tool= kit (EPS-HDT)
Body Text - Black EPS-HDT is a f= ree, easy-to-use software application that produces detailed socioeconomic rep= orts of counties, states, and regions, including custom aggregations.
Body Text - Black EPS-HDT uses p= ublished statistics from federal data sources, including Bureau of Economic Analys= is and Bureau of the Census, U.S. Department of Commerce; and Bureau of Labor Statistics, U.S. Department of Labor. 
Body Text - Black The Bureau of = Land Management and Forest Service have made significant financial and intellectual contributions to the operation and content of EPS-HDT. 
Empty Line
logo_he_img
Body Text - Black Headwaters Eco= nomics is an independent, nonprofit research group. Our mission is to improve commu= nity development and land management decisions in the West.
Body Text - Blue www.headwaterseconomics.org
Empty Line
logo_blm_img
Body Text - Black The Bureau of= Land Management, an agency within the U.S. Department of the Interior, adminis= ters 249.8 million acres of America's public lands, located primarily in 12 Western States.  It is the m= ission of the Bureau of Land Management to sustain the health, diversity, and productivity of the public lands for the use and enjoyment of present and future generations. 
Body Text - Blue www.blm.gov
Empty Line
logo_fs_img
Body Text - Black The Forest Se= rvice, an agency of the U.S. Department of Agriculture, administers national forests and grasslands encompassing 193 million acres.  The Forest Service’s missi= on is to achieve quality land management under the "sustainable multiple-u= se management concept" to meet the diverse needs of people while protec= ting the resource. Significant intellectual, conceptual, and content contribut= ions were provided by the following individuals: Dr. Pat Reed, Dr. Jessica Mon= tag, Doug Smith, M.S., Fred Clark, M.S., Dr. Susan A. Winter, and Dr. Ashley Goldhor-Wilcock. 
Body Text - Blue www.fs.fed.us
Page Break
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        Table of Contents  
           
           
           
           
        Page  
    Trends    
      How have population, employment, and personal income changed? 1  
           
    Components    
    How have the components of population changed? 2  
      How have the components of employment changed?   3  
      How has the mix of wage and salary and proprietors income changed? 4  
      How has the mix of labor earnings and non-labor inc= ome changed? 5  
       
    Industry Secto= rs    
      How has employment by industry changed historically= ? 6-7  
      How has employment by industry changed recently? 8-9  
      How has personal income by industry changed historically? 10-11  
    How has personal income by industry changed recentl= y? 12-13  
       
    Performance    
    How have earnings per job and per capita income changed? 14  
    How do wages compare across industries?<= ![endif]> 15  
      How has the unemployment rate changed? 16  
      What are the commuting patterns in the region? 17  
      Do national recessions affect local employment? 18  
           
    Benchmarks    
      How does performance compare to the benchmark? 19-20  
       
    Data Sources & Methods 21-22  
       
  Note to Users:=  
  This report is one of fourteen reports that can be produced with the EPS-HDT software.  You may want to run another EPS-HDT report for eithe= r a different geography or topic.  Topics include land use, demographics, specific industry sectors, the role of non-labor income, the wildland-urban interface, the role of amenities in economic development, = and payments to county governments from federal lands.  For further information and to download the free software, go to: www.headwaterseconomics.org/eps-hdt.  
   
   
   
  This report contains color-coded text.  BLUE TEXT describes data in figures specific to selected geographies.  Blue text appears on report pages next to or below figures.  BLACK TEXT describes what is being measured and data sources u= sed. Black text appears at the top of study guide pages under the heading "What do we measure on this page?"  RED TEXT explains methodologies and the importance of the information.  Red text appears in the middle of study guide pages under the headings "Why is this important?" and "Methods."  GREEN TEXT lists addit= ional resources that help with interpretation of the information.  Gr= een text appears at the bottom of study guide pages under the heading "Additional Resources."  
   
   
   
   
   
  The EPS-HDT software also allows the user to "push" the tables, figures, and interpretive text from a report to a Word document. At that point, you can keep some text (most often blue and black text) and delete other text (mo= st often red and green text).  Blue text can serve as a starting p= oint for additional description and interpretation of data unique to specific geographies.  
   
   
      &n= bsp;    
  Table of Contents  
 
 
<= /td>
St= yle Name Contents
Heading 1 - Black Table of Conte= nts
Heading 2 - HE Blue= Trends
Body Text - HE Blue= How have popul= ation, employment, and personal income changed?
Heading 2 - HE Blue= Components
Body Text - HE Blue= How have the c= omponents of population changed?
Body Text - HE Blue= How have the c= omponents of employment changed?  
Body Text - HE Blue= How has the mi= x of wage and salary and proprietors income changed?
Body Text - HE Blue= How has the mi= x of labor earnings and non-labor income changed?
Heading 2 - HE Blue= Industry Secto= rs
Body Text - HE Blue= How has employ= ment by industry changed historically?
Body Text - HE Blue= How has employ= ment by industry changed recently?
Body Text - HE Blue= How has person= al income by industry changed historically?
Body Text - HE Blue= How has person= al income by industry changed recently?
Heading 2 - HE Blue= Performance
Body Text - HE Blue= How have earni= ngs per job and per capita income changed?
Body Text - HE Blue= How do wages c= ompare across industries?
Body Text - HE Blue= How has the un= employment rate changed?
Body Text - HE Blue= What are the c= ommuting patterns in the region?
Body Text - HE Blue= Do national re= cessions affect local employment?
Body Text - Black
Heading 2 - HE Blue= Data Sources &= amp; Methods
Empty Line
Body Text - Black Note to Users:=
Body Text - Black This report i= s one of fourteen reports that can be produced with the EPS-HDT software.  You may want to run another EPS-HDT report for eithe= r a different geography or topic.  Topics include land use, demographics, specific industry sectors, the role of non-labor income, the wildland-urban interface, the role of amenities in economic development, = and payments to county governments from federal lands.  For further information and to download the free software, go to: www.headwatersecono= mics.org/eps-hdt.
Body Text - Black This report c= ontains color-coded text.  BLUE TEXT describes data in figures specific to selected geographies.  Blue text appears on report pages next to or below figures.  BLACK TEXT describes what= is being measured and data sources used. Black text appears at the top of st= udy guide pages under the heading "What do we measure on this page?"  RED TEXT explains methodologies and the importance of the information.  Red text appears in the middle = of study guide pages under the headings "Why is this important?" a= nd "Methods."  GREEN TEXT lists additional resources that help with interpretation of the information.  Green text appears at the bottom of study guide pages under the heading "Additi= onal Resources."
Body Text - Black The EPS-HDT s= oftware also allows the user to "push" the tables, figures, and interpretive text from a report to a Word document. At that point, you can keep some text (most often blue and black text) and delete other text (mo= st often red and green text).  Blue text can serve as a starting p= oint for additional description and interpretation of data unique to specific geographies.
Page Break
------=_NextPart_01CBC23B.9A9312E0 Content-Location: file:///C:/2F5444F3/Erietrends_sheet004.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii"
                           
     
                Trends     Study Guide and Supplemental Informatio= n    
  How have population, employment, and personal income changed?     How have population, employment, and personal income changed?    
         
  This page describes trends in population, employment, and real personal income. If = this report is for an individual county, it also shows the county (metropolita= n, micropolitan, or rural) classification.
    What do we measure on this page?     
      This pag= e describes trends in population, employment, and real personal income. If this repor= t is for an individual county, it also shows the county (urban-rural) classification.

Population: The tot= al number of people by place of residence.

Employment: = All full and part-time workers, wage and salary jobs (employees), and proprietors = (the self-employed) reported by place of work.

Personal Income: Income from wage and salary employment and proprietors' income (labor earnings), as well as non-labor income sources (dividends, interest, and rent, and transfer payments) reported by place of residence. All income figures in this report are shown in real terms (i.e., adjusted for inflation).  Subsequent sect= ions of this report define labor earnings and non-labor income in more detail.=
   
         
  According= to the U.S. Census Bureau, Erie County, OH is designated as a Central Metropolitan Statistical Area.        
         
  Total Populati= on, Employment, & Real Personal Income Trends, 1970-2008          
   <= /a>   1970 1980 1990 2000 2008    Change 2000-2008         Data Bullet 1 Bullet 2 Bullet 3
  Population  76,111 79,613 76,914 79,603 77,339 -2,264         Min Year 1970 1970 1970
  Employment (fu= ll and part-time jobs) 35,633 39,275 43,874 50,328 48,792 -1,536         Max Year 2008 2008 2008
  Personal Income (thousands of 2009$s) 1,748,337 2,043,823 2,305,044 2,899,281 2,829,540 -69,741         First Value 76111 35633 1748337
  Populatio= n and personal income are reported by place of residence, and employment by place of work on this page.=            Last Value 77339 48792 2829539.6
                        % Change 2 37 62
 
        Grew/Shrank grew grew grew
        Metropolitan Statistical Areas: Counties that have at lea= st one urbanized area of 50,000 or more population, plus adjacent territory that= has a high degree of social and economic integration with the core as measure= d by commuting ties. Metropolitan Statistical Areas are classified as either Central or Outlying.

Micropolitan Statistical Areas: Counties that have at least one urban cluster of at lea= st 10,000 but less than 50,000 population, plus adjacent territory that has a high degree of social and economic integration with the core as measured = by commuting ties. Micropolitan Statistical Areas are classified as either Central or Outlying.

Rural: Count= ies that are not designated as either Metropolitan or Micropolitan.  
    Inc/Dec_1 increase increase increase
         
                       
  From 1970= to 2008, population grew from 76,111 to 77,339 people, a 2% increase.                      
                     
                     
                     
                     
                       
                       
                         
          Why is it important?      
          Long-term= , steady growth of population, employment, and real personal income is generally an indication of a healthy, prosperous economy.  Erratic growth, no-growth, or long-term decline in these indicators are generally an indication of a struggling economy.

Growth can benefit the general population of a place, especially by providing economic opportunities, but it can also stress communities, and lead to income stratification. When considering the benefits of growth, i= t is important to distinguish between standard of living (such as earnings per= job and per capita income) and quality of life (such as leisure time, crime r= ate, and sense of well-being).
     
               
               
               
             
               
             
  From 1970= to 2008, employment grew from 35,633 to 48,792 jobs, a 37% increase.       A related= indicator of economic performance is whether the local economy is negatively affect= ed by periods of national recession.  This issue is explored in depth in the section "Do national recessions affect local employment?" later in this report.

The size of a population and economy (metropolitan, micropolitan, and rural) can have an important bearing on the types of economic activities present as well as opportunities and challenges for area businesses. 
     
             
             
             
             
             
        Additional Resources      
        In additi= on to U.S. Census Bureau county classifications offered here, a number of other coun= ty classification systems are available:
 
The Bureau of Economic Analysis offers a way to classify all counties in the country into "BEA Economic Areas."  These are counties clustered aro= und “nodes” of metropolitan or micropolitan areas.  Maps of BEA Economic Areas can b= e seen at: http://www.bea.gov/regional/docs/econlist.cfm; the methods are availa= ble at: http://www.bea.gov/SCB/PDF/2004/11November/1104Econ-Areas.pdf
 
   
             
             
             
             
             
             
          The Econ= omic Research Service of the U.S. Department of Agriculture offers a county classification system based on economic dependence on particular sectors = (for example, “Farming-dependent,” Mining-dependent”), econo= mic activity (“Non-metro recreation”), and by policy type (for example, “Housing-stress,” and “Persistent poverty”).  Economic Research Service codes can be found at: http://www.ers.usda.gov/Briefing/= Rurality/Typology.  This web site also offers an alternative definition in the form of “Rural-Urban Continuum Codes.” 
 
Headwaters Economics has developed a "Three Wests" county typology for all counties in the 11 contiguous western U.S. states based = on access to markets via highway or air travel.  The following web site offers ma= ps, a journal article on the subject, and an interactive tool that allows the u= ser to compare a county to custom selected peers or benchmark; see: www.headwaterseconomics.org/3wests.php
   
               
  From 1970= to 2008, personal income grew from $1,748.3 million to $2,829.5 million (in real terms), a 62% increase.            
             
             
             
             
             
             
               
             
        Data Sources    
        U.S. Depa= rtment of Commerce. 2010. Bureau of Economic Analysis, Regional Economic Information System, Washington, D.C. Table CA30.    
           
  Data Sources: U.S. Department of Commerce. 2010. Bureau of Economic Analysis, Regional Economic Information System, Washington, D.C. Table CA30.        
      Study Guide    
     
 
=
Styl= e Name Contents
Heading 1 - Black Trends
Heading 2 - HE Blue= How have popul= ation, employment, and personal income changed?
Heading 2 - Black What do we mea= sure on this page? 
Body Text - Black This page des= cribes trends in population, employment, and real personal income. If this repor= t is for an individual county, it also shows the county (urban-rural) classification.

Population: The total number of people by place of residence.

Employment: All full and part-time workers, wage and salary jobs (employees), and proprietors (the self-employed) reported by place of wor= k.

Personal Income: Income from wage and salary employment and proprietors' income (labor earnings), as well as non-labor income sources (dividends, interest, and rent, and transfer payments) reported by place of residence. All income figures in this report are shown in real terms (i.e., adjusted= for inflation).  Subsequent sect= ions of this report define labor earnings and non-labor income in more detail.=
Body Text - Black Metropolitan Statistical Areas: Counties that have at least one urbanized area of 50,0= 00 or more population, plus adjacent territory that has a high degree of soc= ial and economic integration with the core as measured by commuting ties. Metropolitan Statistical Areas are classified as either Central or Outlyi= ng.

Micropolitan Statistical Areas: Counties that have at least one urban cluster of at least 10,000 but less than 50,000 population, plus adjacent territory that has a high degree of social and economic integration with = the core as measured by commuting ties. Micropolitan Statistical Areas are classified as either Central or Outlying.

Rural: Counties that are not designated as either Metropolitan or Micropolitan.  
tbl1a
Body Text - Black Population and= personal income are reported by place of residence, and employment by place of wor= k on this page.  
Body Text - Black According to t= he U.S. Census Bureau, Erie County, OH is designated as a Central Metropolitan Statistical Area.
Chart_p1c1
Body Text - Blue From 1970 to 2= 008, population grew from 76,111 to 77,339 people, a 2% increase.
Chart_p1c2
Body Text - Blue From 1970 to 2= 008, employment grew from 35,633 to 48,792 jobs, a 37% increase.
Chart_p1c3
Body Text - Blue From 1970 to 2= 008, personal income grew from $1,748.3 million to $2,829.5 million (in real terms), a 62% increase.
Heading 2 - Black Data Sources
Body Text - Black U.S. Departmen= t of Commerce. 2010. Bureau of Economic Analysis, Regional Economic Information System, Washington, D.C. Table CA30.
Heading 2 - Red Why is it impo= rtant?
Body Text - Red Long-term, st= eady growth of population, employment, and real personal income is generally an indication of a healthy, prosperous economy.  Erratic growth, no-growth, or long-term decline in these indicators are generally an indication of a struggling economy.

Growth can benefit the general population of a place, especially by providing economic opportunities, but it can also stress communities, and lead to income stratification. When considering the benefits of growth, i= t is important to distinguish between standard of living (such as earnings per= job and per capita income) and quality of life (such as leisure time, crime r= ate, and sense of well-being).
Body Text - Red A related ind= icator of economic performance is whether the local economy is negatively affected = by periods of national recession.  This issue is explored in depth in the section "Do national recessions affect local employment?" later in this report.

The size of a population and economy (metropolitan, micropolitan, and rural) can have an important bearing on the types of economic activities present as well as opportunities and challenges for area businesses. 
Heading 2 - Green Additional Res= ources
Body Text - Green In addition t= o U.S. Census Bureau county classifications offered here, a number of other coun= ty classification systems are available:
 
The Bureau of Economic Analysis offers a way to classify all counties in the country into "BEA Economic Areas."  These are counties clustered aro= und “nodes” of metropolitan or micropolitan areas.  Maps of BEA Economic Areas can b= e seen at: http://www.bea.gov/regional/docs/econlist.cfm; the methods are availa= ble at: http://www.bea.gov/SCB/PDF/2004/11November/1104Econ-Areas.pdf
 
Body Text - Green The Economic = Research Service of the U.S. Department of Agriculture offers a county classificat= ion system based on economic dependence on particular sectors (for example, “Farming-dependent,” Mining-dependent”), economic activ= ity (“Non-metro recreation”), and by policy type (for example, “Housing-stress,” and “Persistent poverty”).  Economic Research Service codes = can be found at: http://www.ers.usda.gov/Briefing/Rurality/Typology.  This web site also offers an alternative definition in the form of “Rural-Urban Continuum Codes.” 
 
Headwaters Economics has developed a "Three Wests" county typology for all counties in the 11 contiguous western U.S. states based = on access to markets via highway or air travel.  The following web site offers ma= ps, a journal article on the subject, and an interactive tool that allows the u= ser to compare a county to custom selected peers or benchmark; see: www.headwaterseconomics.org/3wests.php
Page Break
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                Components     Study Guide and Supplemental Informatio= n    
  How have the components of population changed?     How have the components of population changed?    
         
  This page describes various components of population change.  Total population change is the s= um of natural change (births minus deaths) and migration (international plus domestic).
    What do we measure on this page?     
      This page= describes various components of population change.=   Total population change is the sum of natural change (births minus deaths) and migration (international plus domestic).    
         
         
        Why is it important?    
  Components of = Population Change, 2000-2009       It is use= ful to understand the components of population change because it offers insight = into the causes of growth or decline and it helps highlight important areas of inquiry.  For example, if a = large portion of population growth is from in-migration, it would be helpful to understand what the drivers are behind this trend, including whether peop= le are moving to the area for jobs, quality of life, or both.  If a large portion of population decline is from out-migration, it would similarly be important to underst= and the reasons, including the loss of employment in specific industries, you= th leaving for education or new opportunities, and elderly people leaving for better medical facilities.      
   <= /a>      Change 2000-2009         Data Bullet 1 Bullet 2 Bullet 3
  Population Cha= nge            -2,640         Min Year 2000 2000 2000
  Natural Change= (Births - Deaths)           638         Max Year 2009 2009 2009
  Births           8,320         Change -2,640
  Deaths           7,682     Methods     % -3 83 17
  Net Migration (International + Domestic)         -2,816     The Burea= u of the Census makes a minor statistical correction, called a "residual.&quo= t; This is defined by the Bureau of the Census as resulting from "two p= arts of the estimates process: (1) the application of national population cont= rols to state and county population estimates and (2) the incorporation of accepted challenges and special censuses into the population estimates. T= he residual represents change in the population that cannot be attributed to= any specific demographic component of population change."      Grew/Shrank shrank
  International = Migration           249         Inc/Dec_1 decrease
  Domestic Migra= tion           -3,065        
  Percent of Pop= ulation Change, 2000-2009                  
  Natural Change= (Births - Deaths)           82.8%        
  Births           43.1%     Additional Resources    
  Deaths           39.8%     For a glo= ssary of terms used by the U.S. Census Bureau, see:  http://www.census.gov/popest/topics/terms/states.html.

For methods used by the U.S. Census Bureau, see: http://www.census.gov/popest/topics/methodology/2008-stco-char-meth.pdf.<= br>
For terms used by the U.S. Census Bureau, see: http://www.census.gov/popest/topics/terms/states.html.

For more information on demographics, see the EPS-HDT Demographics repo= rt. 
   
  Net Migration (International + Domestic)         17.2%        
  International = Migration           1.3%        
  Domestic Migra= tion           15.9%        
  The Census Bureau makes a minor statistical correction, called a "residual." Because of this correction, natural change plus net migration may not add to total population change in the table and figure.=        
         
         
         
                 
            Data Sources    
          U.S. Depa= rtment of Commerce. 2010. Census Bureau, Population Division, Washington, D.C.    
             
  From 2000= to 2009, population shrank by -2,640 people, a -3% decrease.              
               
               
               
               
               
               
  From 2000= to 2009, natural change contributed to 83% of population change.              
               
               
               
               
               
               
  From 2000= to 2009, migration contributed to 17% of population change.              
               
               
               
               
             
             
               
               
               
               
             
             
             
             
             
  Data Sources: U.S. Department of Commerce. 2010. Census Bureau, Population Division, Washington, D.C.          
         
      Study Guide    
     
 
=
Style Name Contents[1]
Heading 1 - Black Components
Heading 2 - HE Blue= How have the components of population changed?
Heading 2 - Black What do we measure on this page? 
Body Text - Black This page describes various components of population change.  Total population change is the sum of natural change (births minus deaths) and migration (international plus domestic).
  tbl2a
Body Text - Black The Census Bureau makes a = minor statistical correction, called a "residual." Because of this correction, natural change plus net migration may not add to total popula= tion change in the table and figure.
  Chart_p2c1
Body Text - Blue From 2000 to 2009, populat= ion shrank by -2,640 people, a -3% decrease.
Body Text - Blue From 2000 to 2009, natural= change contributed to 83% of population change.
Body Text - Blue From 2000 to 2009, migrati= on contributed to 17% of population change.
Heading 2 - Black Data Sources
Body Text - Black U.S. Department of Commerc= e. 2010. Census Bureau, Population Division, Washington, D.C.
Heading 2 - Red Why is it important?
Body Text - Red It is useful to understand= the components of population change because it offers insight into the causes= of growth or decline and it helps highlight important areas of inquiry.  For example, if a large portion = of population growth is from in-migration, it would be helpful to understand what the drivers are behind this trend, including whether people are movi= ng to the area for jobs, quality of life, or both.  If a large portion of population decline is from out-migration, it would similarly be important to underst= and the reasons, including the loss of employment in specific industries, you= th leaving for education or new opportunities, and elderly people leaving for better medical facilities.  
Heading 2 - Red Methods
Body Text - Red The Bureau of the Census m= akes a minor statistical correction, called a "residual." This is defi= ned by the Bureau of the Census as resulting from "two parts of the estimates process: (1) the application of national population controls to state and county population estimates and (2) the incorporation of accept= ed challenges and special censuses into the population estimates. The residu= al represents change in the population that cannot be attributed to any spec= ific demographic component of population change." 
Heading 2 - Green Additional Resources
Body Text - Green For a glossary of terms us= ed by the U.S. Census Bureau, see:  http://www.census.gov/popest/topics/terms/states.html.

For methods used by the U.S. Census Bureau, see: http://www.census.gov/popest/topics/methodology/2008-stco-char-meth.pdf.<= br>
For terms used by the U.S. Census Bureau, see: http://www.census.gov/popest/topics/terms/states.html.

For more information on demographics, see the EPS-HDT Demographics repo= rt. 
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                Components     Study Guide and Supplemental Informatio= n    
  How have the components of employment changed?       How have the components of employment changed?      
         
  This page describes changes in two components of employment: wage and salary jobs, = and proprietor jobs.       What do we measure on this page?     
      This pag= e describes the changes in two components of employment: wage and salary employment, = and proprietors.

Wage and Salary: Th= is is a measure of the average annual number of full-time and part-time jobs by p= lace of work. All jobs for which wages and salaries are paid are counted. Full-time and part-time jobs are counted with equal weight.

Proprietors:= This term includes the self-employed in nonfarm and farm sectors by place of work.  Nonfarm self-employme= nt consists of the number of sole proprietorships and the number of individu= al business partners not assumed to be limited partners.  Farm self-employment is defined = as the number of non-corporate farm operators, consisting of sole proprietors and partners. 
   
  Wage and Salary: This is a = measure of the average annual number of full-time and part-time jobs by place of work. All jobs for which wages and salaries are paid are counted. Full-ti= me and part-time jobs are counted with equal weight.        
         
         
  Proprietors: This term incl= udes the self-employed in farm and nonfarm sectors by place of work. Nonfarm self-employment consists of the number of sole proprietorships and the nu= mber of individual business partners not assumed to be limited partners.  Farm self-employment is defined = as the number of non-corporate farm operators, consisting of sole proprietors and partners.        
          Data Bullet 1 Bullet 2
          Min Year 1970 1970
          Max Year 2008 2008
            First Value 31686 3947
  Components of = Employment Change, 1970-2008           Last Value 38729 10063
    1970 1980 1990 2000 2008    Change 2000-2008     Why is it important?     % Change 22 155
  Total Employme= nt 35,633 39,275 43,874 50,328 48,792 -1,536     A high l= evel of growth in proprietors' employment could be interpreted as a sign of entrepreneurial activity, which is a positive indicator of economic health.  However, in some ar= eas, particularly in remote rural areas, it is possible that a high proportion= of self-employed is an indication that there are few jobs available.  People may work for themselves b= ecause it is the only alternative and they may work for themselves in addition to holding a wage and salary job.

One way to see whether growth and a high-level of proprietors' employme= nt is a positive sign for the local economy is to look at the long-term tren= ds in proprietors' personal income.  If proprietors' employment and real personal income are both risin= g, this is a healthy indicator of entrepreneurial activity. If, on the other hand, proprietors' employment is rising and real personal income is falli= ng, this can be a sign of economic stress.&n= bsp; The following section of this report examines this relationship.
    Grew/Shrank grew grew
  Wage and salar= y jobs 31,686 34,658 37,997 42,126 38,729 -3,397         Inc/Dec_1 increase increase
  Number of prop= rietors 3,947 4,617 5,877 8,202 10,063 1,861        
  Percent of Tot= al           % Change 2000-2008        
  Total Employme= nt           -3.1%        
  Wage and salar= y jobs 88.9% 88.2% 86.6% 83.7% 79.4% -8.1%        
  Number of prop= rietors 11.1% 11.8% 13.4% 16.3% 20.6% 22.7%        
  All employment data in the table above are reported by place of work. Includes full-time and part-time wo= rkers.        
         
           
             
          Methods    
          For detai= ls on how the Bureau of Economic Analysis defines proprietors' employment, see: http://www.bea.gov/regional/definitions/nextpage.cfm?key=3DProprietors%20= employment.
   
             
             
 
 
      Additional Resources    
          For a glo= ssary of terms used by the Bureau of Economic Analysis, see: http://www.bea.gov/glossary/glossary.cfm.

For an example of an academic study where proprietors' employment is considered an indication of entrepreneurial activity, see: Mack, E., T.H. Grubesic and E. Kessler. 2007. "Indices of Industrial Diversity and Regional Economic Composition."&nbs= p; Growth and Change. 38(3): 474-509. 

For more information on farm employment and earnings, see the EPS-HDT Agriculture report.
     
               
  From 1970= to 2008, wage and salary employment (people who work for someone else) grew from 31,686 to 38,729, a 22% increase.            
             
             
             
             
             
        Data Sources      
  From 1970= to 2008, proprietors (the self-employed) grew from 3,947 to 10,063, a 155% increas= e.       U.S. Depa= rtment of Commerce. 2010. Bureau of Economic Analysis, Regional Economic Information System, Washington, D.C. Table CA30.      
             
             
               
             
             
               
               
               
               
               
               
               
               
             
               
               
               
               
               
             
           
  Data Sources: U.S. Department of Commerce. 2010. Bureau of Economic Analysis, Regional Economic Information System, Washington, D.C. Table CA30.          
           
      Study Guide    
     
 
=
Styl= e Name Contents
Heading 1 - Black Components
Heading 2 - HE Blue= How have the c= omponents of employment changed?  
Heading 2 - Black What do we mea= sure on this page? 
Body Text - Black This page des= cribes the changes in two components of employment: wage and salary employment, and proprietors.

Wage and Salary: This is a measure of the average annual number of full-time and part-time jobs by place of work. All jobs for which wages a= nd salaries are paid are counted. Full-time and part-time jobs are counted w= ith equal weight.

Proprietors: This term includes the self-employed in nonfarm and farm sectors by place of work.  N= onfarm self-employment consists of the number of sole proprietorships and the nu= mber of individual business partners not assumed to be limited partners.  Farm self-employment is defined = as the number of non-corporate farm operators, consisting of sole proprietors and partners. 
tbl3a
Body Text - Black All employment= data in the table above are reported by place of work. Includes full-time and part-time workers.
Chart_p3c1
Body Text - Blue From 1970 to 2= 008, wage and salary employment (people who work for someone else) grew from 31,686= to 38,729, a 22% increase.
Body Text - Blue From 1970 to 2= 008, proprietors (the self-employed) grew from 3,947 to 10,063, a 155% increas= e.
Heading 2 - Black Data Sources
Body Text - Black U.S. Departmen= t of Commerce. 2010. Bureau of Economic Analysis, Regional Economic Information System, Washington, D.C. Table CA30.
Heading 2 - Red Why is it impo= rtant?
Body Text - Red A high level = of growth in proprietors' employment could be interpreted as a sign of entrepreneur= ial activity, which is a positive indicator of economic health.  However, in some areas, particul= arly in remote rural areas, it is possible that a high proportion of self-empl= oyed is an indication that there are few jobs available.  People may work for themselves b= ecause it is the only alternative and they may work for themselves in addition to holding a wage and salary job.

One way to see whether growth and a high-level of proprietors' employme= nt is a positive sign for the local economy is to look at the long-term tren= ds in proprietors' personal income.  If proprietors' employment and real personal income are both risin= g, this is a healthy indicator of entrepreneurial activity. If, on the other hand, proprietors' employment is rising and real personal income is falli= ng, this can be a sign of economic stress.&n= bsp; The following section of this report examines this relationship.
Heading 2 - Red Methods
Body Text - Red For details o= n how the Bureau of Economic Analysis defines proprietors' employment, see: http://www.bea.gov/regional/definitions/nextpage.cfm?key=3DProprietors%20= employment.
Heading 2 - Green Additional Res= ources
Body Text - Green For a glossar= y of terms used by the Bureau of Economic Analysis, see: http://www.bea.gov/glossary/glossary.cfm.

For an example of an academic study where proprietors' employment is considered an indication of entrepreneurial activity, see: Mack, E., T.H. Grubesic and E. Kessler. 2007. "Indices of Industrial Diversity and Regional Economic Composition."&nbs= p; Growth and Change. 38(3): 474-509. 

For more information on farm employment and earnings, see the EPS-HDT Agriculture report.
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                Components     Study Guide and Supplemental Informatio= n    
  How has the mix of wage and salary and proprietors income changed?     How has the mix of wage and salary and proprietors income changed?    
         
  This page describes the components of labor earnings (in real terms): income from w= age and salary, and proprietors' employment.=   It also looks more closely at proprietors, comparing long-term tre= nds in proprietors' employment and personal income.
    What do we measure on this page?     
      This pag= e describes the components of labor earnings (in real terms): income from wage and salary, and proprietors' employment.&nbs= p; It also looks more closely at proprietors, comparing long-term tre= nds in proprietors' employment and personal income.

Labor Earnings: This represents (on this page) net earnings by place of work.

Wage and Salary: This is a measure of the average annual number of full-time and part-time jobs in each area by place of work. All jobs for which wages and salaries= are paid are counted. Full-time and part-time jobs are counted with equal weight.

Proprietors:= This term includes the self-employed in nonfarm and farm sectors. Nonfarm self-employment consists of the number of sole proprietorships and the nu= mber of individual business partners not assumed to be limited partners.  Farm self-employment is defined = as the number of non-corporate farm operators, consisting of sole proprietors and partners.
   
         
         
           
  Components of = Labor Earnings Change, 1970-2008 (Thousands of 2009 $s)          
    1970 1980 1990 2000 2008    Change 2000-2008         Data Bullet 1 Bullet 2 Bullet 3 Bullet 4
  Earnings by pl= ace of work 1,528,658 1,642,885 1,706,059 2,157,859 1,939,464 -218,396         Min Year 1970 1970 1970 1970
  Wage & sal= ary disbursements 1,265,707 1,304,758 1,321,124 1,616,314 1,352,924 -263,390         Max Year 2008 2008 2008 2008
  Supplements to= wages & salaries 144,635 241,335 278,526 305,979 312,470 6,491         First Value 1265706.5 118315.96 11 8
  Proprietors' i= ncome 118,316 96,791 106,409 235,566 274,069 38,503         Last Value 1352924.1 274069.38 21 15
  Percent of Tot= al           % Change 2000-2008         % Change 7 132 91 88
  Earnings by pl= ace of work           -10.1%     Note that labor earni= ngs are only one component of total personal income.  The other major component, non-l= abor income, is described later in this report.      Grew/Shrank grew grew grew grew
  Wage & sal= ary disbursements 82.8% 79.4% 77.4% 74.9% 69.8% -16.3%           increase/decrease increase increase
  Supplements to= wages & salaries 9.5% 14.7% 16.3% 14.2% 16.1% 2.1%          
  Proprietors' i= ncome 7.7% 5.9% 6.2% 10.9% 14.1% 16.3%     Why is it important?    
  All income data in the table above are reported by place of w= ork, which is different than earnings by place of residence shown on= the following page of this report.     The tabl= e and figures can be used to compare the relative importance, and change in importance, of wage and salary jobs and proprietors as a source of employ= ment and earnings.

Rapid growth and/or high proportions of proprietors' employment and inc= ome can be a sign of a healthy economy that is attracting entrepreneurs and stimulating business development.  Correlating this growth here with patterns of population growth (s= uch as high levels of in-migration) and unemployment rates (robust business development activity tends to be associated with lower rates of unemploym= ent) may support this finding.  H= igh levels of proprietors in an economy can also indicate a weak labor force = and a lack of opportunity.  This= may be the case if proprietors' employment is increasing and labor earnings a= s a whole are flat or declining. 
     
         
         
         
   
 
         
               
               
               
  From 1970= to 2008, labor earnings from wage and salary employment grew from $1,265.7 million= to $1,352.9 million (in real terms), a 7% increase.          
             
             
          Additional Resources    
          Labor Ear= nings is the same as Net Earnings by Place of Work, as defined by the U.S. Department = of Commerce.   For a gloss= ary of terms used by the Bureau of Economic Analysis, see: http://www.bea.gov/regional/definitions.

For more information on farm employment and earnings, see the EPS-HDT Agriculture report. 
   
             
  From 1970= to 2008, labor earnings from proprietors' employment grew from $118.3 million to $274.1 million (in real terms), a 132% increase.          
             
               
                 
          Data Sources      
          U.S. Depa= rtment of Commerce. 2010. Bureau of Economic Analysis, Regional Economic Information System, Washington, D.C. Tables CA05 & CA05N.      
                 
                 
                   
                   
                   
                   
                   
  In 1970, = proprietors represented 11% of total employment. By 2008, proprietors represented 21%= of total employment.              
                 
               
                 
                 
                 
  In 1970, = proprietors represented 8% of total labor earnings. By 2008, proprietors represented = 15% of total labor earnings.              
                 
                 
                 
                 
                 
                   
                   
                   
               
  Data Sources: U.S. Department of Commerce. 2010. Bureau of Economic Analysis, Regional Economic Information System, Washington, D.C. Tables CA05 & CA05N.            
           
      Study Guide    
     
 
=
Styl= e Name Contents
Heading 1 - Black Components
Heading 2 - HE Blue= How has the mi= x of wage and salary and proprietors income changed?
Heading 2 - Black What do we mea= sure on this page? 
Body Text - Black This page des= cribes the components of labor earnings (in real terms): income from wage and salary, and proprietors' employment.  It also looks more closely at proprietors, comparing long-term trends in proprietors' employment and personal income.

Labor Earnings: This represents (on this page) net earnings by place of work.

Wage and Salary: This is a measure of the average annual number of full-time and part-time jobs in each area by place of work. All jobs for which wages and salaries are paid are counted. Full-time and part-time jo= bs are counted with equal weight.

Proprietors: This term includes the self-employed in nonfarm and farm sectors. Nonfarm self-employment consists of the number of sole proprietorships and the number of individual business partners not assume= d to be limited partners.  Farm self-employment is defined as the number of non-corporate farm operators, consisting of sole proprietors and partners.
Body Text - Black Note that lab= or earnings are only one component of total personal income.  The other major component, non-l= abor income, is described later in this report. 
tbl4a
Body Text - Black All income da= ta in the table above are reported by place of work, which is different than earnin= gs by place of residence shown on the following page of this report.
Chart_p4c1
Body Text - Blue From 1970 to = 2008, labor earnings from wage and salary employment grew from $1,265.7 million= to $1,352.9 million (in real terms), a 7% increase.
Body Text - Blue From 1970 to 2= 008, labor earnings from proprietors' employment grew from $118.3 million to $274.1 million (in real terms), a 132% increase.
Chart_p4c2
Body Text - Blue In 1970, propr= ietors represented 11% of total employment. By 2008, proprietors represented 21%= of total employment.
Body Text - Blue In 1970, propr= ietors represented 8% of total labor earnings. By 2008, proprietors represented = 15% of total labor earnings.
Heading 2 - Black Data Sources
Body Text - Black U.S. Departme= nt of Commerce. 2010. Bureau of Economic Analysis, Regional Economic Information System, Washington, D.C. Tables CA05 & CA05N.
Heading 2 - Red Why is it impo= rtant?
Body Text - Red The table and= figures can be used to compare the relative importance, and change in importance,= of wage and salary jobs and proprietors as a source of employment and earnin= gs.

Rapid growth and/or high proportions of proprietors' employment and inc= ome can be a sign of a healthy economy that is attracting entrepreneurs and stimulating business development.  Correlating this growth here with patterns of population growth (s= uch as high levels of in-migration) and unemployment rates (robust business development activity tends to be associated with lower rates of unemploym= ent) may support this finding.  H= igh levels of proprietors in an economy can also indicate a weak labor force = and a lack of opportunity.  This= may be the case if proprietors' employment is increasing and labor earnings a= s a whole are flat or declining. 
Heading 2 - Green Additional Res= ources
Body Text - Green Labor Earning= s is the same as Net Earnings by Place of Work, as defined by the U.S. Department = of Commerce.   For a gloss= ary of terms used by the Bureau of Economic Analysis, see: http://www.bea.gov/regional/definitions.

For more information on farm employment and earnings, see the EPS-HDT Agriculture report. 
Page Break
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