The Dynamic Power of Ethnic Capital (visit www.ethnictrends.info for data on the ethnic markets)
Sunday, April 30, 2006
Mexican American Workers in MN Industries
Mexican American Workers in MN by Industry, 2000
Bruce P. Corrie, PhD
Professor of Economics
Concordia University-St. Paul.
In 11 broad industry categories in Minnesota there were at least a 1000 workers who classified themselves “Mexican” for their ethnic heritage in Census 2000. The highest number of workers were found in manufacturing (11,475), followed by arts, entertainment, recreation, accommodation and food services (6338), professional, scientific, management, administrative and waste management services (4171), educational, health and social services (3835), retail trade (3250), health care and social assistance (2445), finance, insurance, real estate and rental and leasing (1544), wholesale trade (1298), transportation and warehousing and utilities (1279), and other services except public administration (1542).
There were 39441 Mexican American workers making up 1.5 percent of all workers in Minnesota. In the Food industry they made up 9.5 percent of the workers. For more detailed data please contact corrie@csp.edu.
Thursday, April 27, 2006
Immigrant Workers in MN
Immigrant Workers in Minnesota
Bruce P. Corrie, PhD
corrie@csp.edu
As we remember the contributions of immigrant workers in Minnesota on May 1, the data (Census 2000 EEO data) below provides percentages of Asian and Hispanic workers in occupational categories where Asian and Hispanic/Latino workers make up at least 5 percent of the workforces. Most Asian and Hispanic/Latino workers are foreign born. The data indicates strong presence of these workers in both the high skilled as well as low skilled occupations in Minnesota. For other data and updates on the immigration debate please see my blog: http://ethnictrends.blogspot.com/
Occupation Category
Percent Asian/Hispanic
Total Civilian Labor Force (Asian and Hispanic Workers)
4.62
Miscellaneous Personal Appearance Workers
33.58
Miscellaneous Media and Communication Workers
32.20
Health Diagnosing and Treating Practitioners, All Other
30.53
Butchers and Other Meat, Poultry, and Fish Processing Workers
28.73
Medical Scientists
28.16
Derrick, Rotary Drill, and Service Unit Operators, and Roustabouts, Oil, Gas, and Mining
26.67
Food Cooking Machine Operators and Tenders
25.71
Other Metalworkers and Plastic Workers, Including Milling, Planing, and Multiple Machine Tool Operators
20.34
Physical Scientists, All Other
20.17
Astronomers and Physicists
19.44
Fence Erectors
18.97
Electrical, Electronics, and Electromechanical Assemblers
18.25
Roofers
17.58
Miscellaneous Assemblers and Fabricators
16.67
Dishwashers
16.62
Food Batchmakers
15.25
Cooks
14.49
Graders and Sorters, Agricultural Products
13.27
Computer Software Engineers
13.23
Chemical Engineers
12.82
Food and Tobacco Roasting, Baking, and Drying Machine Operators and Tenders
12.66
Chefs and Head Cooks
12.32
Food Preparation Workers
11.90
Office Machine Operators, Except Computer
11.72
Dining Room and Cafeteria Attendants, Bartender Helpers, and Miscellaneous Food Preparation and Serving Related Workers
11.46
Bakers
10.80
Rolling Machine Setters, Operators, and Tenders, Metal and Plastic
10.74
Physicians and Surgeons
10.47
Maids and Housekeeping Cleaners
10.22
Postsecondary Teachers
10.21
Engine and Other Machine Assemblers
10.17
Computer Programmers
9.62
Cargo and Freight Agents
9.50
Grinding, Lapping, Polishing, and Buffing Machine Tool Setters, Operators, and Tenders, Metal and Plastic
9.36
Gaming Services Workers
8.96
Dancers and Choreographers
8.92
Biological Technicians
8.82
Computer Scientists and Systems Analysts
8.68
Structural Metal Fabricators and Fitters
8.54
Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic
8.51
Economists
8.44
Personal Care and Service Workers, All Other
8.40
Computer Hardware Engineers
8.38
Database Administrators
8.30
Plating and Coating Machine Setters, Operators, and Tenders, Metal and Plastic
8.09
Mail Clerks and Mail Machine Operators, Except Postal Service
7.93
Financial Analysts
7.89
Fishing and Hunting Workers
7.74
Food Service Managers
7.67
Janitors and Building Cleaners
7.54
Geological and Petroleum Technicians
7.41
Archivists, Curators, and Museum Technicians
7.29
Lay-Out Workers, Metal and Plastic
7.27
Electrical and Electronics Repairers, Industrial, Utility, and Transportation Equipment
7.14
Miscellaneous Agricultural Workers, Including Animal Breeders
7.13
Precision Instrument and Equipment Repairers
7.05
Miscellaneous Engineers, Including Agricultural and Biomedical
6.92
First-Line Supervisors/Managers of Housekeeping and Janitorial Workers
6.90
Cutting, Punching, and Press Machine Setters, Operators, and Tenders, Metal and Plastic
6.82
Agents and Business Managers of Artists, Performers, and Athletes
6.80
Other Business Operations Specialists
6.78
Miscellaneous Life, Physical, and Social Science Technicians, Including Social Science Research Assistants and Nuclear Technicians
6.65
Weighers, Measurers, Checkers, and Samplers, Recordkeeping
6.56
Lodging Managers
6.50
Information and Record Clerks, All Other
6.46
Grounds Maintenance Workers
6.40
Market and Survey Researchers
6.40
Locksmiths and Safe Repairers
6.25
Physician Assistants
6.16
Dentists
6.15
Cashiers
6.03
Counter Attendants, Cafeteria, Food Concession, and Coffee Shop
6.02
Shipping, Receiving, and Traffic Clerks
5.96
Glaziers
5.92
Painters, Construction and Maintenance
5.91
Combined Food Preparation and Serving Workers, Including Fast Food
5.91
Hosts and Hostesses, Restaurant, Lounge, and Coffee Shop
5.84
Computer, Automated Teller, and Office Machine Repairers
5.77
Tool Grinders, Filers, and Sharpeners
5.76
Machinists
5.70
Agricultural and Food Scientists
5.70
Postal Service Mail Sorters, Processors, and Processing Machine Operators
5.70
Electrical and Electronics Engineers
5.64
Molders and Molding Machine Setters, Operators, and Tenders, Metal and Plastic
5.64
Waiters and Waitresses
5.62
Telemarketers
5.59
Financial Specialists, All Other
5.58
Network Systems and Data Communications Analysts
5.52
First-Line Supervisors/Managers of Personal Service Workers
5.45
Chemical Technicians
5.35
Natural Sciences Managers
5.27
First-Line Supervisors/Managers of Food Preparation and Serving Workers
5.22
Counter and Rental Clerks
5.18
Biological Scientists
5.15
Food Servers, Nonrestaurant
5.08
Industrial Engineers, Including Health and Safety
5.08
Network and Computer Systems Administrators
5.05
Welding, Soldering, and Brazing Workers
5.05
Athletes, Coaches, Umpires, and Related Workers
5.01
Helpers, Construction Trades
4.96
Tuesday, April 18, 2006
Rapid Growth of Black Firms in MN
Rapid Growth of Black firms in MN
Bruce P. Corrie, PhD
corrie@csp.edu
According to latest data released by the Economic Census today, Black firms expanded rapidly in Minnesota. The number of Black firms increased by 95 percent in Minnesota during the period 1997-2002 and ranked 3rd in the nation in terms of growth of black firms.
In Minnesota, Black firms in Minneapolis grew 123 percent from 1373 firms in 1997 to 3068 firms in 2002. There was an outward movement of Black firms from the Twin Cities to areas such as Brooklyn Park, Eagan and Hopkins and from Hennepin county and Ramsey county to Dakota county, Anoka county and Washington County.
In Minnesota there were 7837 Black firms with 682 million in sales employing 4990 people with an annual payroll of 183 million dollars. For updates please see my blog http://ethnictrends.blogspot.com/
Monday, April 10, 2006
Immigrant Rally April 9th
Immigrant Rally April 9th
Bruce P. Corrie, PhD
corrie@csp.edu
On my way to the rally it already became clear that it was going to be a massive one as I saw the traffic clogged up on the freeway and people walking towards the Capitol from as far as Dale Street. As the crowd made its way to the Capitol the entire stretch of road into the Capitol from across the freeway was filled with a mass of humanity with banners and drums. I was glad to see a multiethnic turnout including a small group representing Korean Americans. As I walked through the crowds from places like Saint Cloud the thought struck me that the average age of the crowd was around 25 – a significant policy implication for Minnesota. This segment is going to be Minnesota’s prime workforce in the future as well as some of the people in the prime tax base. In Minnesota as in the nation we are also beginning to see the silent invisible worker coming out in angry defiance. My inspiration from the people of the rally was dampened by the thought that I have yet to see a comprehensive policy response from our political representatives here at Minnesota and in Washington.
Tuesday, April 04, 2006
An African Perspective on Immigration
Bruce P. Corrie, PhD
corrie@csp.edu
Sometimes it helps to have a global perspective on our challenges else we end up
”falling in love with our sad luck story”…this data is particularly relevant to people who complain about the “costs” of immigrants.
Below is data of the number of “refugees” accepted into a country in relation to the per capita GDP of countries. Africa shines!
North America
Per capita GDP: $38,256
Refugees: 853,300
Africa
Per capita GDP: $879
Refugees: 4,861,400
Europe
Per capita GDP: $19,423
Refugees: 4,429,900
Asia
Per capita GDP: $2,549
Refugees: 6,899,600
Oceania
Per capita GDP: $22,251
Refugees: 82,400
Latin America & Caribbean
Per capita GDP: $3,576
Refugees: 2,070,800
Source: http://www.unhcr.org/statistics/2005_gdp_eng.pdf
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