Community: County & State Statistics

Numerous statistics are gathered about our county and state. Below are some which focus on:

Economic Statistics

   

County Workforce Profile for Langlade County is available from the Office of Economic Advisors (OEA) within the Dept. of Workforce Development (DWD). The profile provides a snapshot of our labor market, with:

  • data on current and projected population dynamics
  • the county's industries and employers
  • occupational patterns within industries and average wages
  • and total personal income

The report for Langlade County can be printed from the PDF copy available at this site.

North Central Wisconsin Employment Projections are also available from the Office of Economic Advisers (OEA) within the Dept. of Workforce Development (DWD). You can find both short- and long-term projections for all occupations and by occupation groups. Wisconsin Blue Book, published biennially, gives a wide variety of statistics about Wisconsin. It provides information on employment, industries, income, and benefits.
WORKnet is the Dept. of Workforce Development's information system on our state's workforce and labor market. It includes links to publications, maps, etc., on various labor topics, including census data for Wisconsin's labor force and related wages and salaries.
State of Wisconsin Demographic Services Center develops annual total population estimates for the next 30 years for all towns, villages, and cities. The site also estimates the voting age population for all municipalities and population estimates for Zip Code Areas, and develops population projections by age and gender for the counties, total population for all municipalities, and total housing units and households for all counties. COWS is a national policy center and field laboratory for high-road economic development. Its stated goals are "a competitve market economy of shared prosperity, environmental sustainability, and capable democratic government." Located at UW-Madison, COWS' program focuses are:economic and workforce development, sectoral strategies and career pathways, clean energy and energy efficiency, strategies for improving low-wage work, etc.
Unemployment Rates for Langlade County -- by month for 2007 -- as compiled by the OEA of the DWD
Mon.
Civilian Labor
Force
Those
Employed
Those
Unemployed
Unemp
Rate
   
Jan.
10,692
9,897
795
7.4
   
Feb.
10,646
9,835
811
7.6
   
Mar.
10,773
9,973
800
7.4
   
Apr.
10,749
9,988
761
7.1
   
May
10,688
10,080
608
5.7
 
Jun.
10,972
10,280
692
6.3
 
Jul.
10,820
10,186
634
5.9
 
Aug.
10,570
9,995
575
5.4
 
Sept.
10,658
10,162
496
4.7
 
Oct.
10,798
10,217
581
5.4
 
Nov.
10,705
10,122
583
5.4
   
Dec.
10,646
9,998
648
6.1
 
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Education opportunities and measurements for the state

Governor Doyle's Wisconsin Covenant

The Wisconsin Covenant is a simple set of expectations and promises between eighth grade students in the state of Wisconsin and insitutions of higher education in Wisconsin. In the covenant, students commit to:

  • completing the classes they need for graduation;
  • maintaining a "B" average; and
  • being a good citizen

In return, the state promises:

  • a spot in either the UW System, the WI Technical College System, or at one of the state's 20 private, nonprofit, and independent colleges; and
  • to provide financial assistance to meet their family's determined needs so that all can afford a higher education

The deadline for signing the covenant for current freshmen in high school: Sept. 30, 2008. This year's eighth graders will be invited to sign the pledge in the spring.

How Do We Measure Up?

The Annie E. Casey Foundation, aside from offering limited grant opportunities, compiles data about children and young people at risk. Their datasource is called KidsCount, and the following data on Wisconsin came from their web site:

 

 

4th graders who scored at or above proficient math level (Showing most recent 5 years)
1996 2000 2003 2005 2007 US 2007
27% N.A. 35% 40% 47% 39%

4th graders who scored at or above proficient reading level (Showing most recent 5 years)
2000 2002 2003 2005 2007 US 2007
N.A. N.A. 33% 33% 36% 32%

4th graders who scored at or above proficient science level
1996 2000 2005 US 2005
N.A. N.A. 35% 27%

4th graders who scored at or above proficient writing level
1998 2002 US 2002
N.A. N.A. 27%

4th graders who scored below basic math level (Showing most recent 5 years)
1996 2000 2003 2005 2007 US 2007
26% N.A. 21% 16% 15% 19%

4th graders who scored below basic reading level (Showing most recent 5 years)
2000 2002 2003 2005 2007 US 2007
N.A. N.A. 32% 33% 30% 34%

4th graders who scored below basic science level
1996 2000 2005 US 2005
N.A. N.A. 23% 34%

4th graders who scored below basic writing level
1998 2002 US 2002
N.A. N.A. 15%

8th graders who scored at or above proficient math level (Showing most recent 5 years)
1996 2000 2003 2005 2007 US 2007
32% N.A. 35% 36% 37% 31%

8th graders who scored at or above proficient reading level (Showing most recent 5 years)
1998 2002 2003 2005 2007 US 2007
34% N.A. 37% 35% 33% 29%

8th graders who scored at or above proficient science level
1996 2000 2005 US 2005
39% N.A. 39% 27%

8th graders who scored at or above proficient writing level
1998 2002 2007 US 2007
28% N.A. 36% 31%

8th graders who scored below basic math level (Showing most recent 5 years)
1996 2000 2003 2005 2007 US 2007
25% N.A. 25% 24% 24% 30%

8th graders who scored below basic reading level (Showing most recent 5 years)
1998 2002 2003 2005 2007 US 2007
22% N.A. 23% 23% 24% 27%

8th graders who scored below basic science level
1996 2000 2005 US 2005
27% N.A. 30% 43%

8th graders who scored below basic writing level
1998 2002 2007 US 2007
12% N.A. 11% 13%

Children enrolled in nursery school, preschool or kindergarten, by Age Group (Showing most recent 5 years)
Age Group 2002 2003 2004 2005 2006 US 2006
3 to 4 46% 37% 37% 42% 41% 46%
3 to 5 60% 53% 53% 55% 54% 58%

Children in households where the household head is a high school dropout (Showing most recent 5 years)
2002 2003 2004 2005 2006 US 2006
13% 11% 11% 10% 10% 16%

Children in households where the householder has a bachelor's degree or higher (Showing most recent 5 years)
2002 2003 2004 2005 2006 US 2006
24% 25% 28% 27% 28% 27%

Children that have difficulty speaking English (Showing most recent 5 years)
2002 2003 2004 2005 2006 US 2006
3% 4% 3% 3% 3% 5%

Children that speak a language other than English at home (Showing most recent 5 years)
2002 2003 2004 2005 2006 US 2006
8% 9% 8% 10% 10% 20%

Children without a computer at home
1997-1998 2000 2001 US 2001
42% 33% 28% 31%

Children without Internet access at home
1997-1998 2000 2001 US 2001
73% 49% 37% 41%

High school graduates age 25-29 who have completed a bachelor's degree or higher (Showing most recent 5 years)
2002 2003 2004 2005 2006 US 2006
26% 27% 30% 30% 27% 27%

Teens who are high school dropouts (Showing most recent 5 years)
2002 2003 2004 2005 2006 US 2006
7% 4% 7% 6% 5% 7%

Teens who are high school dropouts, by Race (Showing most recent 5 years)
Race 2002 2003 2004 2005 2006 US 2006
Non-Hispanic White N.A. N.A. N.A. 5% 4% 5%
Black or African American N.A. N.A. N.A. 9% 10% 8%
American Indian N.A. N.A. N.A. S 9% 11%
Asian and Pacific Islander N.A. N.A. N.A. S 4% 2%
Hispanic or Latino N.A. N.A. N.A. 16% S 12%
Total 7% 4% 7% 6% 5% 7%

Young adults enrolled in or completed college (Showing most recent 5 years)
2002 2003 2004 2005 2006 US 2006
37% 37% 39% 42% 46% 45%

N.A.    Data is not available.
 
 
 
 
 
 
17-Nov-2008