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 Series Title: Men, employed government wage and salary workers in Finance and insurance: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 7247·
 2012 03 1742·
 2012 02 2654.
 2012 01 2739.
 2011 12  7147.
 2011 11  1256.
 2011 10  755.
 2011 09  4164.
 2011 08  8052·
 2011 07  4943.
 2011 06  3226·
 2011 05  9732·
 2011 04  5030.
 2011 03  1142.
 2011 02  1550.
 2011 01  3968.
 2010 12 5568·
 2010 11 272.
 2010 10 9367·
 2010 09 3857.
 2010 08 9756·
 2010 07 5664·
 2010 06 2964.
 2010 05 8644·
 2010 04 039·
 2010 03 2826.
 2010 02 1215·
 2010 01 327.
 2009 12  1548·
 2009 11  144·
 2009 10  5462·
 2009 09  3363.
 2009 08  1863.
 2009 07  8175·
 2009 06  9353.
 2009 05  4643·
 2009 04  940.
 2009 03  027.
 2009 02  9238·
 2009 01  3541.
 2008 12 1258.
 2008 11 1453·
 2008 10 3844·
 2008 09 1944·
 2008 08 8046.
 2008 07 538.
 2008 06 4549·
 2008 05 4448·
 2008 04 8646·
 2008 03 7954.
 2008 02 5153·
 2008 01 7753·
 2007 12  3258·
 2007 11  6966.
 2007 10  1872·
 2007 09  1377·
 2007 08  4354·
 2007 07  3144.
 2007 06  3557·
 2007 05  7142·
 2007 04  6845·
 2007 03  4743.
 2007 02  1345·
 2007 01  9526.
 2006 12 8532·
 2006 11 2245·
 2006 10 9256·
 2006 09 5556.
 2006 08 9257.
 2006 07 8968·
 2006 06 3482·
 2006 05 4480·
 2006 04 1688·
 2006 03 568·
 2006 02 2745·
 2006 01 8232·
 2005 12  626·
 2005 11  5138.
 2005 10  8443.
 2005 09  1247.
 2005 08  3842·
 2005 07  3446·
 2005 06  4266.
 2005 05  551·
 2005 04  1353.
 2005 03  8557·
 2005 02  6549.
 2005 01  5438·
 2004 12 5640.
 2004 11 6160.
 2004 10 4049.
 2004 09 7755.
 2004 08 1741.
 2004 07 4431.
 2004 06 8119.
 2004 05 2139·
 2004 04 7240.
 2004 03 4032·
 2004 02 2532.
 2004 01 5338·
 2003 12  2142.
 2003 11  8146.
 2003 10  3534·
 2003 09  6732.
 2003 08  8951.
 2003 07  2439·
 2003 06  039.
 2003 05  8334·
 2003 04  2815·
 2003 03  4914·
 2003 02  3117·
 2003 01  4513.
 2002 12 1116·
 2002 11 6520·
 2002 10 6719.
 2002 09 2334.
 2002 08 4030·
 2002 07 235.
 2002 06 7029·
 2002 05 923.
 2002 04 4019.
 2002 03 1820.
 2002 02 2925.
 2002 01 2421·
 2001 12  6211·
 2001 11  9328.
 2001 10  5725.
 2001 09  1133.
 2001 08  8043·
 2001 07  3518.
 2001 06  9118.
 2001 05  4032.
 2001 04  9636·
 2001 03  7428·
 2001 02  9543·
 2001 01  538.
 2000 12 3446·
 2000 11 6957.
 2000 10 5544·
 2000 09 2431.
 2000 08 4528·
 2000 07 029.
 2000 06 8628.
 2000 05 4337.
 2000 04 437.
 2000 03 7337.
 2000 02 2441·
 2000 01 3023.
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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 Finance and insurance: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

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