SlideShare ist ein Scribd-Unternehmen logo
1 von 12
Downloaden Sie, um offline zu lesen
State of Rural
  Minnesota
    Report
    2013
Who we are

                                              In 1997, a group of rural Minnesota advocates
                                              came together to create a rural policy “think tank”
                                              that would provide policy makers, rural advocates
                                              and concerned citizens with an objective, unbiased
                                              and politically “unspun” examination of
                                              contemporary rural issues.

                                               Based in St. Peter, Minn.
                                               Non-partisan, non-profit policy research
                                              organization

                                               Dedicated to providing Minnesota’s policy makers
                                              with an unbiased evaluation of issues from a rural
                                              perspective.

                                               The Center is recognized as a leading resource for
                                              rural policy research and development.


Center for Rural Policy & Development, 2013
Growth of Minnesota’s regions,
               1900 to 2010
  450.0%


  400.0%


  350.0%


  300.0%                                                                   Metroplex
  250.0%
                                                                           Southeast River Valley
                                                                           Southwestern Cornbelt
  200.0%
                                                                           Northwest Valley
  150.0%                                                                   Up North
                                                                           Central Lakes
  100.0%


   50.0%


    0.0%
             1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
  -50.0%




Center for Rural Policy & Development, 2013
Population change, 1990-2010

                                                                                                                                                                                                                            !"#$%&'%(%
           -/((,&0                     E&,$"A



                                                                          !"#$%&'%
                                                                          ()$%*&&+,
            6"4,)"33
                                                                                                                                           ?(M%!&A/,
                                                          H$3(4"7/

            8&3#                8$00/01(&0                                                                                                                                                 2&&#
                                                                                                                                                                              !"#$
                                                                                                -&&.)/.)/01
                                E$+%!"#$
                                                                                                 ;(",."
                                                            23$"45"($4




                                                                                                                                                                                                                        From 1990 to 2010, the state’s
                   F&47"0                 6")0&7$0
                                                                         JA99"4+        2",,


                   23"B                  H$.#$4                                                                                                                                                                          population grew by nearly 1
                                                                                                                 :/(#/0
                                                                                                                                                                                                                         million, to 5.3 million. The most
                                                                                                 24&5%*/01                                    2"43(&0                                                                    dramatic growth was seen in the
                                                                           *"+$0"




                                         <(($4%="/3


                                                                                                                                                                                                                         Twin Cities suburbs, stretching up
                     */3#/0

                                                                                                                                              8/0$
                                                                         =&++

                                                                                                                 6/33$%
                                                                                                                                                                                                                         into the Central Lakes area.
                                       >4"0(                                                    6&44/,&0         !".,
                                                                                                                              -"0"9$.




                                                      G&A13",

                                                                                                                                                                          !"#$"%&'$()%*"
                                                                                                        H$0(&0
                                       ?($@$0,    8&C$                                                                       ;,"0(/
                =4"@$4,$                                                 ?($"40,
                                                                                                                                                                                     !"#$%&'()*)+
                                                                                                                                              *",)/01(&0 2)/,"1&




                     H/1%                                                                                ?)$49A40$
                     ?(&0$
                                          ?5/'(                                                                              :0&#"
                                                                                                                                                                                     ',*,+&-$&)*,+
                                                                  -"0+/B&)/
                                                                                      6$$#$4
                                                                                                                                                                                     (*)+&-$&,*,+
                                            2)/CC$5"
                                                                                                                                         ,M




                                                                                                   *4/1)(
                                                                                                                                        E"7




                          !".%NA/%8"43$                                                                           J$00$C/0                                                           ()*)+&-$&.,*,+
                                                                                             6.!$&+
                                                         E$0@/33$                                          2"4@$4
                          D$33&5%6$+/./0$                                                                                                                                            /)*)+&012&03$4"
                                                                                                    ?/93$B
                       !/0.&30 !B&0                                                                               ?.&((                 G"#&("
                                                       E$+5&&+
                                                                                             F/.&33$(                        E/.$
                                                                                                           !$%?A$A4                     >&&+)A$ *"9",)"
                                                                         H4&50
                           8/C$,(&0$




                                                                                                                                 ?($$3$ G&+1$
                                                                                                                    *",$."




                                          6A44"B                              *"(&05"0                                                        <37,($+   */0&0"
                                                         2&((&05&&+
                                                                                                 H3A$%L"4()
                          E&.#           F&93$,                                                                                                                    K/337&4$      J&A,(&0
                                                          I".#,&0                   6"4(/0          K"4/9"A3(        K4$$9&40                  6&5$4                                                                           50-0&6$789":
                                                                                                                                                                                                                       ;*<*&="1676&!78"07>
                                                                                                                                                                                                              ?$@7#0-A$1&B6-AC0-"6&?8$D80C
                                                                                                                                                                                                      E&="1-"8&F$8&G780#&?$#A9H&012&5"4"#$@C"1-




Center for Rural Policy & Development, 2013
Population projections,
                                        2010-2035

                                         30.0%
                                                     25.7%
                                                                                            24.7%
                                         25.0%
                                                                                                    21.5%
                                         20.0%
                                                                             14.3%
                                         15.0%
                                                             11.1%
                                                                                     9.5%
                                         10.0%

                                              5.0%
                                                                     -2.2%
                                              0.0%

                                          -5.0%




Center for Rural Policy & Development, 2013
Decrease in       Increase in         Change in
       County               white             minority            total
                            population        population          population
       Clearwater                     -116                  502         386

       Fillmore                       -243                  332           89

       Hennepin                   -88,200           208,194         119,994

       Kandiyohi                    -1,093             4,571          3,478

       Lyon                         -1,691             2,759          1,068    Fifteen counties that
                                                                               experienced population growth
       Mahnomen                     -1,129             1,498            369    between 1990 and 2010 due to
                                                                               growth in their minority
       Mower                        -3,753             5,531          1,778
                                                                               populations (U.S. Census
       Nobles                       -4,953             6,233          1,280    Bureau, 2010). Twelve of them
                                                                               are not in a Metropolitan
       Pennington                     -175                  799         624    Statistical Area.

       Ramsey                     -80,755           103,630          22,875

       Roseau                           -59                 662         603

       Sibley                         -352             1,212            860

       St. Louis                    -6,678             8,691          2,013

       Todd                           -137             1,669          1,532

       Waseca                         -506             1,563          1,057

Center for Rural Policy & Development, 2013
Workforce in the
    manufacturing sector, 2011

                                                                                                                                                                                                                            Title	
  here
           Kittson                     Roseau



                                                                          Lake of
                                                                          the Woods
            Marshall
                                                                                                                                           St. Louis
                                                          Beltrami

            Polk               Pennington
                                                                                                                                                                                           Cook
                                                                                                                                                                              Lake
                                                                                                Koochiching
                                Red Lake
                                                                                                 Itasca
                                                            Clearwater




                                                                                                                                                                                                                        Despite losing nearly 50,000
                   Norman                 Mahnomen
                                                                         Hubbard        Cass


                   Clay                  Becker                                                                                                                                                                          manufacturing jobs between 2005
                                                                                                                 Aitkin
                                                                                                                                                                                                                         and 2009, Minnesota still has a
                                                                                                 Crow Wing                                    Carlton                                                                    number of counties—mostly rural—
                                                                           Wadena




                                         Otter Tail


                                                                                                                                                                                                                         where employment is concentrated in
                     Wilkin

                                                                                                                                              Pine
                                                                                                                                                                          Percentage of workforce
                                                                         Todd

                                                                                                                 Mille                                                    employed in
                                                                                                                                                                                                                         manufacturing.
                                       Grant                                                    Morrison         Lacs
                                                                                                                              Kanabec




                                                                                                                                                                          manufacturing
                                                      Douglas



                                                                                                        Benton                                                                       Less than 6.0%
                                       Stevens    Pope                   Stearns                                             Isanti
                Traverse
                                                                                                                                                                                     6.0% to 8.9%
                                                                                                                                              Washington Chisago




                     Big                                                                                 Sherburne
                     Stone
                                          Swift                   Kandiyohi                                                  Anoka                                                   9.0% to 11.9%
                                                                                      Meeker
                                            Chippewa                                                                                                                                 12.0% to 16.9%
                                                                                                                                         s.




                                                                                                   Wright
                                                                                                                                        Ram




                          Lac Qui Parle
                                                                                             McLeod
                                                                                                                  Hennepin
                                                                                                                                                                                     17.0% and above
                                                         Renville                                          Carver
                          Yellow Medicine
                                                                                                    Sibley                                                                           No Data
                       Lincoln Lyon                                                                               Scott                 Dakota
                                                       Redwood
                                                                                             Nicollet                        Rice
                                                                                                           Le Sueur                     Goodhue Wabasha
                                                                         Brown
                           Pipestone




                                                                                                                                 Steele Dodge
                                                                                                                    Waseca




                                          Murray                              Watonwan                                                        Olmsted   Winona
                                                         Cottonwood
                                                                                                 Blue Earth
                          Rock           Nobles                                                                                                                                  Houston
                                                          Jackson                   Martin          Faribault        Freeborn                  Mower               Fillmore
                                                                                                                                                                                                                               Data source:
                                                                                                                                                                                                              U.S. Department of Commerce
                                                                                                                                                                                                               Bureau of Economic Analysis
                                                                                                                                                                                                      © Center for Rural Policy and Development




Center for Rural Policy & Development, 2013
Average earnings in farming,
    2011

           -/((,&0                     E&,$"A



                                                                          !"#$%&'%
                                                                          ()$%*&&+,
            6"4,)"33
                                                                                                                                           ?(M%!&A/,
                                                          H$3(4"7/

            8&3#               8$00/01(&0
                                                                                                                                                                                           2&&#
                                                                                                                                                                              !"#$
                                                                                                -&&.)/.)/01
                                E$+%!"#$
                                                                                                 ;(",."
                                                            23$"45"($4




                   F&47"0                 6")0&7$0
                                                                         JA99"4+        2",,                                                                                                                          Farming has had a strong
                   23"B                  H$.#$4
                                                                                                                                                                                                                       presence in Minnesota historically
                                                                                                                 :/(#/0
                                                                                                                                                                                                                       and continues to do so today. The
                                                                                                 24&5%*/01                                    2"43(&0                                                                  distribution of wealth from
                                                                           *"+$0"




                                         <(($4%="/3
                     */3#/0

                                                                                                                                              8/0$
                                                                                                                                                                                                                       farming is apparent.
                                                                         =&++
                                                                                                                                                                          !"#$%&#'#%$()(&*'
                                       >4"0(                                                    6&44/,&0
                                                                                                                 6/33$%
                                                                                                                 !".,                                                     +#$',%$-'./$0#$
                                                                                                                              -"0"9$.




                                                      G&A13",

                                                                                                                                                                                     !"#$%#!&'&&&
                                                                                                        H$0(&0
                =4"@$4,$
                                       ?($@$0,    8&C$                   ?($"40,                                             ;,"0(/                                                  !("'"""#$%#!(&'&&&
                                                                                                                                              *",)/01(&0 2)/,"1&




                     H/1%                                                                                ?)$49A40$
                     ?(&0$                                                                                                                                                           !)"'"""#$%#!*+'&&&
                                          ?5/'(                   -"0+/B&)/                                                  :0&#"
                                                                                      6$$#$4                                                                                         !*,'"""#$%#!,&'&&&
                                            2)/CC$5"
                                                                                                                                         ,M




                                                                                                   *4/1)(
                                                                                                                                                                                     !-"'"""#./0#.1%23
                                                                                                                                        E"7




                          !".%NA/%8"43$                                                                           J$00$C/0
                                                                                             6.!$&+
                          D$33&5%6$+/./0$
                                                         E$0@/33$                                          2"4@$4                                                                    4%#5.$.
                                                                                                    ?/93$B
                       !/0.&30 !B&0                                                                               ?.&((                 G"#&("
                                                       E$+5&&+
                                                                                             F/.&33$(                        E/.$
                                                                                                           !$%?A$A4                     >&&+)A$ *"9",)"
                                                                         H4&50
                           8/C$,(&0$




                                                                                                                                 ?($$3$ G&+1$
                                                                                                                    *",$."




                                          6A44"B                              *"(&05"0                                                        <37,($+   */0&0"
                                                         2&((&05&&+
                                                                                                 H3A$%L"4()
                          E&.#           F&93$,                                                                                                                    K/337&4$      J&A,(&0
                                                          I".#,&0                   6"4(/0          K"4/9"A3(        K4$$9&40                  6&5$4                                                                         5.$.#6%7893:
                                                                                                                                                                                                            ;<=<#53>.8$?3/$#%@#A%??3893
                                                                                                                                                                                                             B783.7#%@#C9%/%?D9#E/.FG6D6
                                                                                                                                                                                                    H#A3/$38#@%8#I78.F#J%FD9G#./0#5323F%>?3/$




Center for Rural Policy & Development, 2013
Health

                                              Percent of
       Region                                 population enrolled
                                              in MinnesotaCare
                                                                    Percent of population
                                                                    enrolled in MinnesotaCare,
       Metroplex                                     1.7%
                                                                    based on average monthly
                                                                    enrollment for 2009
       Southeast River Valley                        2.1%           (Minnesota Department of
                                                                    Human Services, 2011)
       Southwestern Cornbelt                         2.5%

       Northwest Valley                              3.1%

       Up North                                      3.2%

       Central Lakes                                 4.4%

       Minnesota                                     2.1%

Center for Rural Policy & Development, 2013
Graduation Rates, 2009-2010




                                                                                        To calculate the graduation rate
                                                                                         here, the number of graduates
                                                                                         was divided by the number of
                                                                                         ninth-graders four years earlier,
                                                                                         adjusting for students dropping
                                                                                         out or leaving the district.
                                              !"#$%#&'()*+#&,
                                                   !"#$%&%
                                                                                      Districts with graduating classes
                                                   '()*+#,#-(+
                                                                                         under 40 were not included.
                                                   -().+#,#-*+
                                                   -*).+#,#/(+
                                                   /().+#,#/*+
                                                   /*).+#,#.((+




                                                                                         0%&%#1"23456
                                                                    789951"&%#05:%3&;59&#"<#=$24%&8"9
                                                                  >#?59&53#<"3#@23%A#B"A84C#%9$#05D5A":;59&




Center for Rural Policy & Development, 2013
Free lunch eligibility, 2010-2011




                                                                                        For the state of Minnesota, 37.2%
                                                                                         of students were eligible for free
                                                                                         or reduced-price lunch in the
                                                                                         2010-2011 school year. Since
                                                                                         recipients’ families must meet
                                              !"#$"%&'(")*+),&-."%&,)
                                              "/0(01/")+*#)+#"")*#)                      certain income guidelines to
                                              #".-$".)/-%$2                              qualify, free and reduced-price
                                                   !"#$%&%                               lunch can be a good proxy for
                                                   '()*#+#,-(,*                          poverty rates.
                                                   ,-(.*#+#./('*
                                                   ./(0*#+#1'*
                                                   1'(2*#+#/3(0*
                                                   /3()*#+#233*




                                                                                         4%&%#5"6789:
                                                                    ;<==95"&%#49>%7&?9=&#"@#A$68%&<"=
                                                                  B#C9=&97#@"7#D67%E#F"E<8G#%=$#49H9E">?9=&




Center for Rural Policy & Development, 2013
Thank You!
Atlas of Minnesota
      Online

www.ruralmn.org

Weitere ähnliche Inhalte

Andere mochten auch

Andere mochten auch (13)

crea tu pagina web
crea tu pagina webcrea tu pagina web
crea tu pagina web
 
Rural Minnesota Journal: Who Lives in Minnesota?
Rural Minnesota Journal: Who Lives in Minnesota?Rural Minnesota Journal: Who Lives in Minnesota?
Rural Minnesota Journal: Who Lives in Minnesota?
 
Global warming.jasper
Global warming.jasperGlobal warming.jasper
Global warming.jasper
 
Emc new1
Emc new1Emc new1
Emc new1
 
Vocabulary yr
Vocabulary yrVocabulary yr
Vocabulary yr
 
P1457 2010 apr b relay vital
P1457 2010 apr b relay vitalP1457 2010 apr b relay vital
P1457 2010 apr b relay vital
 
Sot 2008 revisi
Sot 2008 revisiSot 2008 revisi
Sot 2008 revisi
 
Vocabulary yr
Vocabulary yrVocabulary yr
Vocabulary yr
 
Budget 2013
Budget 2013Budget 2013
Budget 2013
 
Ebook ringkasan-kitab-hadist-shahih-imam-bukhari
Ebook ringkasan-kitab-hadist-shahih-imam-bukhariEbook ringkasan-kitab-hadist-shahih-imam-bukhari
Ebook ringkasan-kitab-hadist-shahih-imam-bukhari
 
Credit Key Pitch
Credit Key PitchCredit Key Pitch
Credit Key Pitch
 
Chapter 1
Chapter 1Chapter 1
Chapter 1
 
Imc presentation
Imc presentationImc presentation
Imc presentation
 

Ähnlich wie Report Details Growth and Population Changes in Rural Minnesota from 1900-2010

2010 Downtown KC Resident Survey Results
2010 Downtown KC Resident Survey Results2010 Downtown KC Resident Survey Results
2010 Downtown KC Resident Survey ResultsDTC
 
Social Media Tomorrow : conference with LinkedIn VP Mike Gamson ( his deck is...
Social Media Tomorrow : conference with LinkedIn VP Mike Gamson ( his deck is...Social Media Tomorrow : conference with LinkedIn VP Mike Gamson ( his deck is...
Social Media Tomorrow : conference with LinkedIn VP Mike Gamson ( his deck is...Vivendi Content
 
Eurocitie E Inclusion Demand And Offer Digital Divides
Eurocitie E Inclusion Demand And Offer Digital DividesEurocitie E Inclusion Demand And Offer Digital Divides
Eurocitie E Inclusion Demand And Offer Digital DividesEnrico Ferro
 
Community Attractiveness for Newcomers pt.2
Community Attractiveness for Newcomers pt.2Community Attractiveness for Newcomers pt.2
Community Attractiveness for Newcomers pt.2OntarioEast
 

Ähnlich wie Report Details Growth and Population Changes in Rural Minnesota from 1900-2010 (6)

State of Rural Minnesota 2013-full report
State of Rural Minnesota 2013-full reportState of Rural Minnesota 2013-full report
State of Rural Minnesota 2013-full report
 
2010 Downtown KC Resident Survey Results
2010 Downtown KC Resident Survey Results2010 Downtown KC Resident Survey Results
2010 Downtown KC Resident Survey Results
 
Social Media Tomorrow : conference with LinkedIn VP Mike Gamson ( his deck is...
Social Media Tomorrow : conference with LinkedIn VP Mike Gamson ( his deck is...Social Media Tomorrow : conference with LinkedIn VP Mike Gamson ( his deck is...
Social Media Tomorrow : conference with LinkedIn VP Mike Gamson ( his deck is...
 
Eurocitie E Inclusion Demand And Offer Digital Divides
Eurocitie E Inclusion Demand And Offer Digital DividesEurocitie E Inclusion Demand And Offer Digital Divides
Eurocitie E Inclusion Demand And Offer Digital Divides
 
Community Attractiveness for Newcomers pt.2
Community Attractiveness for Newcomers pt.2Community Attractiveness for Newcomers pt.2
Community Attractiveness for Newcomers pt.2
 
2013 year in mobile
2013 year in mobile2013 year in mobile
2013 year in mobile
 

Mehr von Center for Rural Policy & Development

Rural Minnesota Journal: Where will Minnesota's Baby Boomers live in their la...
Rural Minnesota Journal: Where will Minnesota's Baby Boomers live in their la...Rural Minnesota Journal: Where will Minnesota's Baby Boomers live in their la...
Rural Minnesota Journal: Where will Minnesota's Baby Boomers live in their la...Center for Rural Policy & Development
 
Minnesota Business Owners' Perceptions of State and Local Regulations
Minnesota Business Owners' Perceptions of State and Local RegulationsMinnesota Business Owners' Perceptions of State and Local Regulations
Minnesota Business Owners' Perceptions of State and Local RegulationsCenter for Rural Policy & Development
 
2010 Minnesota Internet Survey: A Look at Rural and Metropolitan Broadband Ac...
2010 Minnesota Internet Survey: A Look at Rural and Metropolitan Broadband Ac...2010 Minnesota Internet Survey: A Look at Rural and Metropolitan Broadband Ac...
2010 Minnesota Internet Survey: A Look at Rural and Metropolitan Broadband Ac...Center for Rural Policy & Development
 

Mehr von Center for Rural Policy & Development (16)

Rmj2012 summary
Rmj2012 summaryRmj2012 summary
Rmj2012 summary
 
Rural Minnesota Journal: Where will Minnesota's Baby Boomers live in their la...
Rural Minnesota Journal: Where will Minnesota's Baby Boomers live in their la...Rural Minnesota Journal: Where will Minnesota's Baby Boomers live in their la...
Rural Minnesota Journal: Where will Minnesota's Baby Boomers live in their la...
 
Minnesota Business Owners' Perceptions of State and Local Regulations
Minnesota Business Owners' Perceptions of State and Local RegulationsMinnesota Business Owners' Perceptions of State and Local Regulations
Minnesota Business Owners' Perceptions of State and Local Regulations
 
Perception and-regulation-brief
Perception and-regulation-briefPerception and-regulation-brief
Perception and-regulation-brief
 
Finding the Voice of Rural Minnesota
Finding the Voice of Rural MinnesotaFinding the Voice of Rural Minnesota
Finding the Voice of Rural Minnesota
 
Understanding Skills Shortages and Regional Economies
Understanding Skills Shortages and Regional EconomiesUnderstanding Skills Shortages and Regional Economies
Understanding Skills Shortages and Regional Economies
 
Rural Minnesota Journal: About the authors
Rural Minnesota Journal: About the authorsRural Minnesota Journal: About the authors
Rural Minnesota Journal: About the authors
 
Rural Minnesota Journal: Minnesota Philanthropy
Rural Minnesota Journal: Minnesota PhilanthropyRural Minnesota Journal: Minnesota Philanthropy
Rural Minnesota Journal: Minnesota Philanthropy
 
Rural Minnesota Journal: The Power of Invitation
Rural Minnesota Journal: The Power of InvitationRural Minnesota Journal: The Power of Invitation
Rural Minnesota Journal: The Power of Invitation
 
Rural Minnesota Journal: Rural Community Leadership
Rural Minnesota Journal: Rural Community LeadershipRural Minnesota Journal: Rural Community Leadership
Rural Minnesota Journal: Rural Community Leadership
 
Rural Minnesota Journal: Rural Volunteers
Rural Minnesota Journal: Rural VolunteersRural Minnesota Journal: Rural Volunteers
Rural Minnesota Journal: Rural Volunteers
 
Rural Minnesota Journal: Reshaping Pelican Rapids
Rural Minnesota Journal: Reshaping Pelican RapidsRural Minnesota Journal: Reshaping Pelican Rapids
Rural Minnesota Journal: Reshaping Pelican Rapids
 
Rural Minnesota Journal: Why Everyone Should Care
Rural Minnesota Journal: Why Everyone Should CareRural Minnesota Journal: Why Everyone Should Care
Rural Minnesota Journal: Why Everyone Should Care
 
2012 Minnesota Internet Survey: The Digital Divide 2.0 and Beyond
2012 Minnesota Internet Survey: The Digital Divide 2.0 and Beyond2012 Minnesota Internet Survey: The Digital Divide 2.0 and Beyond
2012 Minnesota Internet Survey: The Digital Divide 2.0 and Beyond
 
2010 Minnesota Internet Survey: A Look at Rural and Metropolitan Broadband Ac...
2010 Minnesota Internet Survey: A Look at Rural and Metropolitan Broadband Ac...2010 Minnesota Internet Survey: A Look at Rural and Metropolitan Broadband Ac...
2010 Minnesota Internet Survey: A Look at Rural and Metropolitan Broadband Ac...
 
2012 Minnesota Internet Survey
2012 Minnesota Internet Survey2012 Minnesota Internet Survey
2012 Minnesota Internet Survey
 

Report Details Growth and Population Changes in Rural Minnesota from 1900-2010

  • 1. State of Rural Minnesota Report 2013
  • 2. Who we are In 1997, a group of rural Minnesota advocates came together to create a rural policy “think tank” that would provide policy makers, rural advocates and concerned citizens with an objective, unbiased and politically “unspun” examination of contemporary rural issues.  Based in St. Peter, Minn.  Non-partisan, non-profit policy research organization  Dedicated to providing Minnesota’s policy makers with an unbiased evaluation of issues from a rural perspective.  The Center is recognized as a leading resource for rural policy research and development. Center for Rural Policy & Development, 2013
  • 3. Growth of Minnesota’s regions, 1900 to 2010 450.0% 400.0% 350.0% 300.0% Metroplex 250.0% Southeast River Valley Southwestern Cornbelt 200.0% Northwest Valley 150.0% Up North Central Lakes 100.0% 50.0% 0.0% 1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010 -50.0% Center for Rural Policy & Development, 2013
  • 4. Population change, 1990-2010 !"#$%&'%(% -/((,&0 E&,$"A !"#$%&'% ()$%*&&+, 6"4,)"33 ?(M%!&A/, H$3(4"7/ 8&3# 8$00/01(&0 2&&# !"#$ -&&.)/.)/01 E$+%!"#$ ;(",." 23$"45"($4   From 1990 to 2010, the state’s F&47"0 6")0&7$0 JA99"4+ 2",, 23"B H$.#$4 population grew by nearly 1 :/(#/0 million, to 5.3 million. The most 24&5%*/01 2"43(&0 dramatic growth was seen in the *"+$0" <(($4%="/3 Twin Cities suburbs, stretching up */3#/0 8/0$ =&++ 6/33$% into the Central Lakes area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enter for Rural Policy & Development, 2013
  • 5. Population projections, 2010-2035 30.0% 25.7% 24.7% 25.0% 21.5% 20.0% 14.3% 15.0% 11.1% 9.5% 10.0% 5.0% -2.2% 0.0% -5.0% Center for Rural Policy & Development, 2013
  • 6. Decrease in Increase in Change in County white minority total population population population Clearwater -116 502 386 Fillmore -243 332 89 Hennepin -88,200 208,194 119,994 Kandiyohi -1,093 4,571 3,478 Lyon -1,691 2,759 1,068 Fifteen counties that experienced population growth Mahnomen -1,129 1,498 369 between 1990 and 2010 due to growth in their minority Mower -3,753 5,531 1,778 populations (U.S. Census Nobles -4,953 6,233 1,280 Bureau, 2010). Twelve of them are not in a Metropolitan Pennington -175 799 624 Statistical Area. Ramsey -80,755 103,630 22,875 Roseau -59 662 603 Sibley -352 1,212 860 St. Louis -6,678 8,691 2,013 Todd -137 1,669 1,532 Waseca -506 1,563 1,057 Center for Rural Policy & Development, 2013
  • 7. Workforce in the manufacturing sector, 2011 Title  here Kittson Roseau Lake of the Woods Marshall St. Louis Beltrami Polk Pennington Cook Lake Koochiching Red Lake Itasca Clearwater   Despite losing nearly 50,000 Norman Mahnomen Hubbard Cass Clay Becker manufacturing jobs between 2005 Aitkin and 2009, Minnesota still has a Crow Wing Carlton number of counties—mostly rural— Wadena Otter Tail where employment is concentrated in Wilkin Pine Percentage of workforce Todd Mille employed in manufacturing. Grant Morrison Lacs Kanabec manufacturing Douglas Benton Less than 6.0% Stevens Pope Stearns Isanti Traverse 6.0% to 8.9% Washington Chisago Big Sherburne Stone Swift Kandiyohi Anoka 9.0% to 11.9% Meeker Chippewa 12.0% to 16.9% s. Wright Ram Lac Qui Parle McLeod Hennepin 17.0% and above Renville Carver Yellow Medicine Sibley No Data Lincoln Lyon Scott Dakota Redwood Nicollet Rice Le Sueur Goodhue Wabasha Brown Pipestone Steele Dodge Waseca Murray Watonwan Olmsted Winona Cottonwood Blue Earth Rock Nobles Houston Jackson Martin Faribault Freeborn Mower Fillmore Data source: U.S. Department of Commerce Bureau of Economic Analysis © Center for Rural Policy and Development Center for Rural Policy & Development, 2013
  • 8. Average earnings in farming, 2011 -/((,&0 E&,$"A !"#$%&'% ()$%*&&+, 6"4,)"33 ?(M%!&A/, H$3(4"7/ 8&3# 8$00/01(&0 2&&# !"#$ -&&.)/.)/01 E$+%!"#$ ;(",." 23$"45"($4 F&47"0 6")0&7$0 JA99"4+ 2",,   Farming has had a strong 23"B H$.#$4 presence in Minnesota historically :/(#/0 and continues to do so today. The 24&5%*/01 2"43(&0 distribution of wealth from *"+$0" <(($4%="/3 */3#/0 8/0$ farming is apparent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enter for Rural Policy & Development, 2013
  • 9. Health Percent of Region population enrolled in MinnesotaCare Percent of population enrolled in MinnesotaCare, Metroplex 1.7% based on average monthly enrollment for 2009 Southeast River Valley 2.1% (Minnesota Department of Human Services, 2011) Southwestern Cornbelt 2.5% Northwest Valley 3.1% Up North 3.2% Central Lakes 4.4% Minnesota 2.1% Center for Rural Policy & Development, 2013
  • 10. Graduation Rates, 2009-2010   To calculate the graduation rate here, the number of graduates was divided by the number of ninth-graders four years earlier, adjusting for students dropping out or leaving the district. !"#$%#&'()*+#&, !"#$%&%   Districts with graduating classes '()*+#,#-(+ under 40 were not included. -().+#,#-*+ -*).+#,#/(+ /().+#,#/*+ /*).+#,#.((+ 0%&%#1"23456 789951"&%#05:%3&;59&#"<#=$24%&8"9 >#?59&53#<"3#@23%A#B"A84C#%9$#05D5A":;59& Center for Rural Policy & Development, 2013
  • 11. Free lunch eligibility, 2010-2011   For the state of Minnesota, 37.2% of students were eligible for free or reduced-price lunch in the 2010-2011 school year. Since recipients’ families must meet !"#$"%&'(")*+),&-."%&,) "/0(01/")+*#)+#"")*#) certain income guidelines to #".-$".)/-%$2 qualify, free and reduced-price !"#$%&% lunch can be a good proxy for '()*#+#,-(,* poverty rates. ,-(.*#+#./('* ./(0*#+#1'* 1'(2*#+#/3(0* /3()*#+#233* 4%&%#5"6789: ;<==95"&%#49>%7&?9=&#"@#A$68%&<"= B#C9=&97#@"7#D67%E#F"E<8G#%=$#49H9E">?9=& Center for Rural Policy & Development, 2013
  • 12. Thank You! Atlas of Minnesota Online www.ruralmn.org