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 Series Title: Men, employed government wage and salary workers in Financial activities: NSA
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 2012 04 478·
 2012 03 3183.
 2012 02 688·
 2012 01 7680.
 2011 12  1197·
 2011 11  83110.
 2011 10  67122·
 2011 09  68116·
 2011 08  71112.
 2011 07  2097.
 2011 06  1689.
 2011 05  4699·
 2011 04  3781·
 2011 03  2599·
 2011 02  66123·
 2011 01  55127·
 2010 12 81112·
 2010 11 5113.
 2010 10 55106·
 2010 09 63117·
 2010 08 6108·
 2010 07 90105.
 2010 06 47117.
 2010 05 6588·
 2010 04 3690·
 2010 03 3894.
 2010 02 2878·
 2010 01 79101·
 2009 12  22107.
 2009 11  2994·
 2009 10  13108.
 2009 09  50107.
 2009 08  3994·
 2009 07  72116.
 2009 06  3892.
 2009 05  4782.
 2009 04  8887·
 2009 03  9786·
 2009 02  6682·
 2009 01  6583·
 2008 12 9486·
 2008 11 6281.
 2008 10 8790.
 2008 09 2180·
 2008 08 782·
 2008 07 4774.
 2008 06 1183·
 2008 05 61100.
 2008 04 385·
 2008 03 5988.
 2008 02 7894.
 2008 01 5483·
 2007 12  8189·
 2007 11  31100.
 2007 10  50107.
 2007 09  94115.
 2007 08  69124·
 2007 07  18110.
 2007 06  16113·
 2007 05  9994.
 2007 04  1580.
 2007 03  269·
 2007 02  8780·
 2007 01  1469·
 2006 12 9686.
 2006 11 90112·
 2006 10 2113·
 2006 09 8103.
 2006 08 11129·
 2006 07 14137·
 2006 06 24139.
 2006 05 76135.
 2006 04 87133·
 2006 03 30105·
 2006 02 4193.
 2006 01 3683·
 2005 12  7369.
 2005 11  2085.
 2005 10  6574·
 2005 09  3291·
 2005 08  4497.
 2005 07  9195.
 2005 06  34115.
 2005 05  35104.
 2005 04  2110.
 2005 03  74118·
 2005 02  12108·
 2005 01  3777·
 2004 12 7295·
 2004 11 25110·
 2004 10 8685.
 2004 09 5894·
 2004 08 485.
 2004 07 2771.
 2004 06 7064.
 2004 05 4286·
 2004 04 7371.
 2004 03 8682.
 2004 02 077.
 2004 01 5985.
 2003 12  8093.
 2003 11  3399.
 2003 10  4074.
 2003 09  166·
 2003 08  5087·
 2003 07  2681.
 2003 06  7895.
 2003 05  9087.
 2003 04  3471·
 2003 03  4649·
 2003 02  2658.
 2003 01  6864.
 2002 12 776.
 2002 11 084.
 2002 10 2480.
 2002 09 592·
 2002 08 6986.
 2002 07 1890·
 2002 06 3275·
 2002 05 9574.
 2002 04 4655·
 2002 03 5949·
 2002 02 4066.
 2002 01 5759·
 2001 12  8853·
 2001 11  394.
 2001 10  6089·
 2001 09  3586·
 2001 08  71107.
 2001 07  5867·
 2001 06  3167·
 2001 05  9881.
 2001 04  9583·
 2001 03  5465.
 2001 02  1496·
 2001 01  4288·
 2000 12 85107.
 2000 11 49124·
 2000 10 98105.
 2000 09 83111.
 2000 08 91100·
 2000 07 2497·
 2000 06 9686.
 2000 05 6895.
 2000 04 9097.
 2000 03 85110.
 2000 02 46118·
 2000 01 6482·
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: Alternative Measures of Labor Underutilization
Unemployment Rate: Gender
Unemployment Rate: Black: Gender
Unemployment Rate: White: Gender
Unemployment Rate: Race
Unemployment Rate: Age: 16/25/35/45/55
Unemployment Rate: Education
Unemployment Rate: Nonagricultural Industry
Unemployment Rate: Job Category
Median Weeks Unemployed: Age
Median Weeks Unemployed: Race


The US Labor Force Dataset from the BLS contains nearly 15,000 series.
These series are subcategories of the popular series of:

Civilian Labor Force (subcategories)
Employment Level (subcategories)
Unemployment Level (subcategories)
US Unemployment Rate (subcategories)
Population (subcategories)
Employment-Population Ratio (subcategories)
Median Weeks Unemployed (subcategories)
Percent Distribution (subcategories)
Average Hours At Work (subcategories)
Of Total Unemployed (subcategories)

These basic measures are augmented by:

Population
Labor Force Participation Rate
Employment-Population Ratio
Not in Labor Force
Number at work
Average hours at work
Multiple jobholders
Average number of search methods used
Number At work part-time

These series can be subdivided by:

Sex:

Male
Female

Race and Ethnicity:

White
Black
Hispanic
Mexican
Puerto Rican
Cuban

Age:

16 years and over (default)
14_yrs._&_over
16-17_yrs.
16-19_yrs.
16-21_yrs.
16-24_yrs.
18-19_yrs.
20_yrs._&_over
20-24_yrs.
20-64_yrs.
25_yrs._&_over
25-29_yrs.
25-34_yrs.
25-54_yrs.
25-59_yrs.
30-34_yrs.
35-39_yrs.
35-44_yrs.
40-44_yrs.
45_yrs._&_over
45-49_yrs.
45-54_yrs.
50-54_yrs.
55_yrs._&_over
55-59_yrs.
55-64_yrs.
60-61_yrs.
60-64_yrs.
62-64_yrs.
65_yrs._&_over
65-69_yrs.
70_yrs._&_over

Class Of Worker:

Wage_And_Salary_Workers
Private_Wage_And_Salary_Workers
Government_Wage_And_Salary_Workers
Self-employed_Workers
Unpaid_Family_Workers

Industry:

Agriculture_Service
Furniture_And_Fixtures
Motor_Vehicles_&_Motor_Vehicle_Equipment
Aircraft
Tobacco
Eating_And_Drinking
Private_Households
Hospital
Postal
Federal
State
Local
Goods_Producing
Service_Producing
Agriculture_(Excludes_Forestry_And_Fisheries)
Forestry_And_Fisheries
Nonagricultural
Mining
Construction
Manufacturing
Manufacturing,_Durables
Lumber_And_Wood_Products,_Except_Furniture
Stone,_Clay,_And_Glass_Products
Primary_Metal
Fabricated_Metal
Machinery
Electrical_machinery,_equipment,_&_supplies
Transportation_Equipment
Professional_&_photographic_equipment_&_watches
Other_transportation_equipment
Fabricated_Metals
Manufacturing,_Nondurables
Food_And_Kindred_Products
Textile_Mill_Products
Apparel_And_Other_Fabricated_Textile_Products
Paper_And_Allied_Products
Printing,_Publishing,_And_Allied_Industries
Chemicals_And_Allied_Products
Petroleum_And_Coal_Products
Rubber_And_Miscellaneous_Plastic_Products
Leather_And_Leather_Products
Transportation,_Communication,_And_Other_Public_Utilities
Transportation
Transportation_Other_Than_Railroad_And_Railway_Express
Communications_And_Other_Public_Utilities
Communications
Trade
Wholesale_Trade
Retail_Trade
Service_Industries
Finance,_Insurance,_And_Real_Estate
Insurance_And_Real_Estate
Banking_And_Other_Financial_Organizations
Business_And_Repair_Services
Businesses
Repair_Services
Personal_Services
Entertainment_And_Recreation_Services
Professional_And_Related_Services
Medical
Educational_Services
Welfare_And_Religious_Services
Public_Administration

Occupation:

Managerial_&_professional_specialty_occupation
Executive,_administration,_&_managerial
Officials_&_administration,_public_administation
Management_Related_Occupations
Professional_Specialty_Occupations
Engineers
Math_&_Computer_Scientists
Natural_scientists
Health_Diagnosing_Occupations
Health_Assessment_&_Treating
Teachers,_college_&_university
Lawyers_&_Judges
Technical,_sales,_administration_support
Technicians_&_related_support_occupations
Health_technologists_&_technicians
Engineering_&_science_technicians
Technicians
Sales_Occupations
Supervisors_&_Proprietors
Sales_reps,_finance_&_business_services
Sales_reps,_commodities
Sales,_retail_&_personal
Sales_Related_Occupations
Administrative_support
Supervisors
Computer_Equipment_Operators
Secretaries,_stenographers,_&_typists
Financial_Records_Processing
Mail_&_Message_Distributing
Service_Occupation
Private_Household
Protective_Services
Food_Service
Health_Service
Cleaning_&_Building_Service
Personal_Service
Precision_Production,_Craft,_Repair
Mechanics_&_Repairers
Construction_Trades
Operators,_Fabricators,_Laborers
Machine_operators,_assemblers,_inspectors
Operators_&_tenders
Fabricators,_assemblers,_inspectors,_samplers
Transportation,_material_moving
Motor_vehicle_operators
Handlers,_equipment_cleaners,_helpers,_laborers
Construction_Laborers
Freight,_stock_material_handlers
Farming,_Forestry,_Fishing
Farm_Operators_&_Managers
Farm_workers_&_related_occupations
Forestry_&_fishing_occupations

Input your search text below.
or alter the examples after this blank template.







      Example 1: Get Unemployment Rates for people in Computer jobs







      Example 2: Get Employment Data for Workers in the "Retail Trade" Industry







      Example 3: Get Population Level Data for Workers





 Series Title: Men, employed government wage and salary workers in Financial activities: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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