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 Series Title: Total 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 52125·
 2012 03 21142·
 2012 02 74134·
 2012 01 32115.
 2011 12  41128·
 2011 11  49143.
 2011 10  4134.
 2011 09  88129·
 2011 08  60107.
 2011 07  37113.
 2011 06  98102·
 2011 05  5110·
 2011 04  57114.
 2011 03  69121·
 2011 02  68145.
 2011 01  27162.
 2010 12 9159.
 2010 11 49136·
 2010 10 53147·
 2010 09 2499·
 2010 08 17108·
 2010 07 11140·
 2010 06 14143·
 2010 05 89124·
 2010 04 4131.
 2010 03 1095.
 2010 02 4091.
 2010 01 42106·
 2009 12  22132.
 2009 11  28129.
 2009 10  45148.
 2009 09  27151·
 2009 08  47137.
 2009 07  72150·
 2009 06  65133.
 2009 05  1397.
 2009 04  78107.
 2009 03  73107·
 2009 02  63130·
 2009 01  94152·
 2008 12 41196.
 2008 11 89159·
 2008 10 28147.
 2008 09 89134·
 2008 08 87124·
 2008 07 0113·
 2008 06 73120·
 2008 05 43154.
 2008 04 90125·
 2008 03 13168·
 2008 02 35176.
 2008 01 24153·
 2007 12  51182·
 2007 11  61163·
 2007 10  77161.
 2007 09  27170·
 2007 08  96119·
 2007 07  99140.
 2007 06  87153·
 2007 05  71137.
 2007 04  75139·
 2007 03  10125.
 2007 02  78130.
 2007 01  0125·
 2006 12 63146.
 2006 11 99142·
 2006 10 89167·
 2006 09 83150.
 2006 08 61149·
 2006 07 99171·
 2006 06 80190·
 2006 05 15195.
 2006 04 94190·
 2006 03 67153.
 2006 02 42121·
 2006 01 13119·
 2005 12  12109·
 2005 11  83123.
 2005 10  86135.
 2005 09  24139·
 2005 08  91148·
 2005 07  54156.
 2005 06  50170.
 2005 05  14158.
 2005 04  32165·
 2005 03  13145·
 2005 02  98118.
 2005 01  80116·
 2004 12 59128.
 2004 11 16163·
 2004 10 17150·
 2004 09 40157·
 2004 08 23133.
 2004 07 44123.
 2004 06 2094·
 2004 05 38105.
 2004 04 091·
 2004 03 4102·
 2004 02 46134·
 2004 01 43137.
 2003 12  89140·
 2003 11  28151.
 2003 10  56123.
 2003 09  50117·
 2003 08  17125·
 2003 07  72117·
 2003 06  38103.
 2003 05  77104.
 2003 04  3386·
 2003 03  1876·
 2003 02  794.
 2003 01  6888·
 2002 12 1388·
 2002 11 7279·
 2002 10 9976.
 2002 09 9487.
 2002 08 5887·
 2002 07 6795.
 2002 06 7873·
 2002 05 4771.
 2002 04 9275·
 2002 03 5971·
 2002 02 3083·
 2002 01 4876.
 2001 12  6765·
 2001 11  3078·
 2001 10  7195·
 2001 09  40110·
 2001 08  57125.
 2001 07  8559·
 2001 06  3659.
 2001 05  9290.
 2001 04  6393·
 2001 03  5898.
 2001 02  89112·
 2001 01  99108·
 2000 12 1098.
 2000 11 4127·
 2000 10 1894·
 2000 09 7967·
 2000 08 4971.
 2000 07 569.
 2000 06 3664·
 2000 05 7880·
 2000 04 5681·
 2000 03 6781·
 2000 02 8188.
 2000 01 6393·
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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 Finance and insurance: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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