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 Series Title: Persons At Work in Nonagricultural Industries, Wage and Salary Workers: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 37126878.
 2012 03 62126874·
 2012 02 31126995.
 2012 01 42125996.
 2011 12  15127098·
 2011 11  72127352·
 2011 10  38126651.
 2011 09  68126409.
 2011 08  97121334·
 2011 07  18120407.
 2011 06  83122592.
 2011 05  30125698.
 2011 04  33125658·
 2011 03  81124766.
 2011 02  79124115.
 2011 01  72123272·
 2010 12 99125495·
 2010 11 69125545.
 2010 10 65125028·
 2010 09 63124957·
 2010 08 95120921.
 2010 07 13119560·
 2010 06 2122814·
 2010 05 99124794.
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 2010 03 70123572.
 2010 02 80122316·
 2010 01 97122796.
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 2009 11  20124808·
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 2009 07  72119883.
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 2008 12 88129364.
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 2008 10 22130755.
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 2001 12  75122246.
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 1998 12 66118034.
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 1998 08 3110466.
 1998 07 10110257·
 1998 06 61112974.
 1998 05 39115147.
 1998 04 59113077.
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 1998 02 13114426.
 1998 01 43113595.
 1997 12  84115655·
 1997 11  53115303.
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 1997 09  93113509.
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 1997 04  72112481.
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 1997 02  46111494.
 1997 01  32110419·
 1996 12 60112077·
 1996 11 84112703·
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 1996 08 69106500.
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 1995 02  86107996.
 1995 01  90107171.
 1994 12 49109291.
 1994 11 65109044.
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 1993 12  9106136.
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 1991 07  7895771.
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 1991 05  45101146.
 1991 04  45101071·
 1991 03  1100756.
 1991 02  84100653·
 1991 01  83100436·
 1990 12 53102929.
 1990 11 96102595·
 1990 10 61102619·
 1990 09 68102217.
 1990 08 6497286·
 1990 07 9697289·
 1990 06 13100541.
 1990 05 96102684·
 1990 04 4100188·
 1990 03 56101994.
 1990 02 29101893.
 1990 01 85101254·
 1989 12  24102414.
 1989 11  59102266.
 1989 10  21101610.
 1989 09  79100583·
 1989 08  9895310·
 1989 07  1295516.
 1989 06  2799015.
 1989 05  47100875.
 1989 04  27100317·
 1989 03  45100068.
 1989 02  1099623.
 1989 01  8599397.
 1988 12 36101079·
 1988 11 16100774.
 1988 10 5999980.
 1988 09 1099100.
 1988 08 7793372·
 1988 07 693809·
 1988 06 8596764·
 1988 05 6698095.
 1988 04 2398056.
 1988 03 2297817·
 1988 02 2797868.
 1988 01 2497382.
 1987 12  7699052·
 1987 11  9598865·
 1987 10  4797714.
 1987 09  7796013·
 1987 08  6191769.
 1987 07  8292054·
 1987 06  3494734·
 1987 05  4496576·
 1987 04  2893903.
 1987 03  6695273.
 1987 02  195119·
 1987 01  7094911.
 1986 12 5396230.
 1986 11 5195749.
 1986 10 8495373.
 1986 09 2394490.
 1986 08 3789114·
 1986 07 7088095·
 1986 06 4892471.
 1986 05 9894079·
 1986 04 393906.
 1986 03 8193282·
 1986 02 8092367.
 1986 01 1493029·
 1985 12  493854·
 1985 11  6393764·
 1985 10  9393173.
 1985 09  1492196.
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 1985 06  2589693.
 1985 05  6991759·
 1985 04  3490013·
 1985 03  9691172.
 1985 02  3990401·
 1985 01  7390176·
 1984 12 8892066.
 1984 11 3591594.
 1984 10 2290668·
 1984 09 4389838·
 1984 08 2884758.
 1984 07 2484747.
 1984 06 8888210·
 1984 05 2590117.
 1984 04 3088974·
 1984 03 6788159.
 1984 02 7587835·
 1984 01 8887322.
 1983 12  9288994·
 1983 11  9888501.
 1983 10  4487294.
 1983 09  2686633·
 1983 08  4180128.
 1983 07  7280317.
 1983 06  8583042.
 1983 05  5784749·
 1983 04  2784647.
 1983 03  7283919·
 1983 02  1083479·
 1983 01  2783747.
 1982 12 2585233.
 1982 11 485210.
 1982 10 5784584.
 1982 09 484146.
 1982 08 3779061·
 1982 07 078873·
 1982 06 8983350.
 1982 05 8284928.
 1982 04 8683432.
 1982 03 1584536.
 1982 02 9484474·
 1982 01 8183800·
 1981 12  2486354·
 1981 11  3386529.
 1981 10  8485962.
 1981 09  4584333.
 1981 08  2780019.
 1981 07  6080678·
 1981 06  9883790·
 1981 05  4285861.
 1981 04  9384256.
 1981 03  2785588.
 1981 02  9984833.
 1981 01  6884779.
 1980 12 4986102·
 1980 11 9186043·
 1980 10 7485134·
 1980 09 4083865.
 1980 08 4678602.
 1980 07 3377319·
 1980 06 3682339.
 1980 05 483835.
 1980 04 5883331.
 1980 03 6084516.
 1980 02 2384321·
 1980 01 2884494.
 1979 12  8686845·
 1979 11  585917·
 1979 10  9885382·
 1979 09  784552·
 1979 08  5579056·
 1979 07  2278265.
 1979 06  4981970.
 1979 05  5983758.
 1979 04  1682220.
 1979 03  9583704·
 1979 02  8982942·
 1979 01  2982683.
 1978 12 4484685.
 1978 11 3084342·
 1978 10 5583695·
 1978 09 8682257.
 1978 08 4076700·
 1978 07 5876003·
 1978 06 1180327·
 1978 05 2581570·
 1978 04 2881477.
 1978 03 3680119·
 1978 02 4579613·
 1978 01 6378953.
 1977 12  6081326.
 1977 11  4681002·
 1977 10  6979918·
 1977 09  4678619.
 1977 08  1172952·
 1977 07  9472615.
 1977 06  2176089.
 1977 05  4277714.
 1977 04  8076990.
 1977 03  1277157.
 1977 02  6476462·
 1977 01  4675520·
 1976 12 9477881·
 1976 11 5677525.
 1976 10 8776833·
 1976 09 7675732.
 1976 08 369866·
 1976 07 969715.
 1976 06 173895·
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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: Persons At Work in Nonagricultural Industries, Wage and Salary Workers: 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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