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 Series Title: Persons At Work in Nonagricultural Industries, 20 years and over: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 6131088·
 2012 03 17130954·
 2012 02 67131013·
 2012 01 16130237·
 2011 12  46131096·
 2011 11  42131521·
 2011 10  92130710.
 2011 09  13130434·
 2011 08  2125023·
 2011 07  16123663.
 2011 06  68126330·
 2011 05  58130106·
 2011 04  25130052·
 2011 03  19129122·
 2011 02  7128336·
 2011 01  97127430·
 2010 12 91129641·
 2010 11 60129870·
 2010 10 48129529.
 2010 09 97129570·
 2010 08 98124629.
 2010 07 69122998.
 2010 06 54126941.
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 2010 04 74129184·
 2010 03 3127948.
 2010 02 12126649·
 2010 01 86126975·
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 2009 11  43129309.
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 2008 12 38132644.
 2008 11 96133948.
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 2008 07 80127181.
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 2006 12 26134195.
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 2005 05  47129773·
 2005 04  23129508.
 2005 03  31128103.
 2005 02  47127999·
 2005 01  4127119.
 2004 12 38129151·
 2004 11 68129099.
 2004 10 98128310·
 2004 09 43127582.
 2004 08 78122543·
 2004 07 19121150.
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 2002 05 51124409.
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 1999 08  85113588.
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 1999 04  70119123.
 1999 03  2118688.
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 1998 12 62119677·
 1998 11 88119290·
 1998 10 76118293.
 1998 09 13116762.
 1998 08 60111577·
 1998 07 31111073·
 1998 06 92114432.
 1998 05 86117440.
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 1998 03 89116720·
 1998 02 74116588·
 1998 01 74115936·
 1997 12  3117786.
 1997 11  42117670·
 1997 10  36117149·
 1997 09  19116059.
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 1997 07  98108880.
 1997 06  15113214.
 1997 05  93115624·
 1997 04  2115332·
 1997 03  88115040.
 1997 02  74114254.
 1997 01  88113490·
 1996 12 14114843·
 1996 11 68115398.
 1996 10 1114711.
 1996 09 24113780·
 1996 08 60108198·
 1996 07 21106924.
 1996 06 10110331.
 1996 05 45112601.
 1996 04 15110831.
 1996 03 53112007·
 1996 02 37111701.
 1996 01 21108985.
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 1995 11  95112850.
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 1994 12 12112125.
 1994 11 77112009·
 1994 10 68111354·
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 1994 02 69108321.
 1994 01 30107094·
 1993 12  46109473.
 1993 11  93109355.
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 1991 12  84105315.
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 1991 01  60103414.
 1990 12 84105892·
 1990 11 14105625·
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 1990 09 4105064.
 1990 08 5898765·
 1990 07 2998216·
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 1990 04 72102724.
 1990 03 17104355.
 1990 02 76104073·
 1990 01 76103541·
 1989 12  79104867.
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 1989 09  66103015·
 1989 08  5296370.
 1989 07  6596189.
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 1989 05  44103249.
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 1989 02  25101841.
 1989 01  2101926·
 1988 12 27103336.
 1988 11 11103339.
 1988 10 54102314.
 1988 09 61101385·
 1988 08 494212·
 1988 07 9194140·
 1988 06 7397893.
 1988 05 64100837.
 1988 04 0100648·
 1988 03 10100139.
 1988 02 2099919·
 1988 01 8199229.
 1987 12  15100967·
 1987 11  98100953·
 1987 10  5999983.
 1987 09  598132·
 1987 08  7492356·
 1987 07  1392347·
 1987 06  7796111.
 1987 05  5698570·
 1987 04  2896106.
 1987 03  3697460.
 1987 02  8697275.
 1987 01  7897181.
 1986 12 5398316·
 1986 11 7498045·
 1986 10 2697425·
 1986 09 4096533.
 1986 08 4889872.
 1986 07 5988366.
 1986 06 5893372.
 1986 05 3695830·
 1986 04 3995713·
 1986 03 4695044.
 1986 02 7194188.
 1986 01 8595048·
 1985 12  7795755.
 1985 11  1995873.
 1985 10  7795473.
 1985 09  3294215·
 1985 08  3687360·
 1985 07  8386200·
 1985 06  1490820.
 1985 05  4693627.
 1985 04  1892036.
 1985 03  7093152.
 1985 02  4692127·
 1985 01  2192029.
 1984 12 4793830.
 1984 11 3693466·
 1984 10 6092698.
 1984 09 7591857·
 1984 08 7485433.
 1984 07 6484871.
 1984 06 6989009·
 1984 05 5392013·
 1984 04 7491085.
 1984 03 6190262.
 1984 02 1189898.
 1984 01 2589265·
 1983 12  4990748.
 1983 11  5690614.
 1983 10  4989415.
 1983 09  8488649·
 1983 08  2280715·
 1983 07  880589·
 1983 06  7183857.
 1983 05  4986738·
 1983 04  4586695.
 1983 03  9885909.
 1983 02  8985317·
 1983 01  6585407.
 1982 12 9386735·
 1982 11 3386846.
 1982 10 4286196.
 1982 09 185798.
 1982 08 6679251·
 1982 07 4378822.
 1982 06 9284071.
 1982 05 5186447·
 1982 04 9084914·
 1982 03 8785948·
 1982 02 2785658.
 1982 01 3484699·
 1981 12  1587233·
 1981 11  4587424.
 1981 10  6186833.
 1981 09  9485227.
 1981 08  1779284.
 1981 07  2479550·
 1981 06  3083710·
 1981 05  086395·
 1981 04  9584831·
 1981 03  5686210·
 1981 02  9985451.
 1981 01  4685108.
 1980 12 7686278.
 1980 11 9786270·
 1980 10 5485380·
 1980 09 5384238·
 1980 08 977551·
 1980 07 2975861·
 1980 06 1081461.
 1980 05 6384127·
 1980 04 7183440.
 1980 03 5984615·
 1980 02 284369·
 1980 01 4684259.
 1979 12  6086316·
 1979 11  1985492·
 1979 10  9685100·
 1979 09  9684322·
 1979 08  477395·
 1979 07  6476409.
 1979 06  7780652·
 1979 05  3283802·
 1979 04  5281884.
 1979 03  7783402.
 1979 02  6082494.
 1979 01  9882088.
 1978 12 8084002·
 1978 11 6483506.
 1978 10 8382766.
 1978 09 6481540.
 1978 08 8774276.
 1978 07 5773501.
 1978 06 778558·
 1978 05 2381156.
 1978 04 081190.
 1978 03 1380065·
 1978 02 2179136.
 1978 01 9678335.
 1977 12  6980386.
 1977 11  1380211·
 1977 10  3879118·
 1977 09  2578200·
 1977 08  6970854.
 1977 07  6370322.
 1977 06  9674616.
 1977 05  8077563.
 1977 04  076573·
 1977 03  9676904.
 1977 02  5876020·
 1977 01  5575022·
 1976 12 8977295.
 1976 11 6876994.
 1976 10 1176124.
 1976 09 6975299.
 1976 08 8567860·
 1976 07 6167321·
 1976 06 6872491·
Economagic: Economic Chart Dispenser

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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, 20 years and over: 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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