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 Series Title: Total 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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 2012 04 93213·
 2012 03 61259·
 2012 02 10242·
 2012 01 78209·
 2011 12  32222·
 2011 11  36229·
 2011 10  61239.
 2011 09  3234·
 2011 08  42212.
 2011 07  16217.
 2011 06  19224.
 2011 05  33247.
 2011 04  76223.
 2011 03  82227.
 2011 02  97288.
 2011 01  12275·
 2010 12 8255·
 2010 11 41244·
 2010 10 33225·
 2010 09 9223.
 2010 08 39214.
 2010 07 24233.
 2010 06 90246.
 2010 05 18203.
 2010 04 94211·
 2010 03 89189·
 2010 02 56185·
 2010 01 59216.
 2009 12  24218.
 2009 11  17216.
 2009 10  43228·
 2009 09  75232.
 2009 08  4215·
 2009 07  14234·
 2009 06  90233·
 2009 05  36202.
 2009 04  33202.
 2009 03  13194.
 2009 02  59190·
 2009 01  36220.
 2008 12 39259.
 2008 11 69224·
 2008 10 39232.
 2008 09 94206.
 2008 08 71198·
 2008 07 65184·
 2008 06 41195·
 2008 05 55251·
 2008 04 4214.
 2008 03 7248·
 2008 02 5255·
 2008 01 86222.
 2007 12  39264·
 2007 11  27256.
 2007 10  93261.
 2007 09  83259.
 2007 08  1238·
 2007 07  81244.
 2007 06  93251·
 2007 05  65244·
 2007 04  41223·
 2007 03  51205·
 2007 02  17207·
 2007 01  76217.
 2006 12 34254.
 2006 11 44247.
 2006 10 4264.
 2006 09 84233.
 2006 08 81263·
 2006 07 91279·
 2006 06 16275·
 2006 05 84285·
 2006 04 6261.
 2006 03 50241.
 2006 02 42215.
 2006 01 96202·
 2005 12  61195·
 2005 11  1206·
 2005 10  94185.
 2005 09  63223.
 2005 08  20224·
 2005 07  51232·
 2005 06  11252.
 2005 05  54264.
 2005 04  84282·
 2005 03  32261.
 2005 02  54226.
 2005 01  64193·
 2004 12 79221.
 2004 11 0246.
 2004 10 12223·
 2004 09 11230.
 2004 08 54210·
 2004 07 38188.
 2004 06 99174.
 2004 05 41184.
 2004 04 86175·
 2004 03 51200·
 2004 02 51229·
 2004 01 21237·
 2003 12  74233.
 2003 11  72238·
 2003 10  31191·
 2003 09  47181.
 2003 08  44196·
 2003 07  57207·
 2003 06  28212·
 2003 05  36205·
 2003 04  46190·
 2003 03  88157·
 2003 02  55176·
 2003 01  35189·
 2002 12 57203.
 2002 11 71188·
 2002 10 49183.
 2002 09 11175.
 2002 08 75178·
 2002 07 38184·
 2002 06 73166.
 2002 05 58177·
 2002 04 27175.
 2002 03 46187·
 2002 02 15205.
 2002 01 97169·
 2001 12  63151·
 2001 11  76178.
 2001 10  89201.
 2001 09  70220·
 2001 08  58230.
 2001 07  35158.
 2001 06  31158·
 2001 05  47195·
 2001 04  13193.
 2001 03  55182.
 2001 02  5205·
 2001 01  23203·
 2000 12 53216.
 2000 11 91251.
 2000 10 98206.
 2000 09 17198.
 2000 08 28206·
 2000 07 27189·
 2000 06 24174.
 2000 05 71183.
 2000 04 14199·
 2000 03 68215·
 2000 02 21221·
 2000 01 57204.
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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: Total 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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