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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 45-54 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 8718.
 2012 03 3919.
 2012 02 2029·
 2012 01 1329.
 2011 12  2621.
 2011 11  7014·
 2011 10  566.
 2011 09  2710.
 2011 08  619.
 2011 07  7322·
 2011 06  6826·
 2011 05  1617.
 2011 04  7810.
 2011 03  3222.
 2011 02  6923·
 2011 01  2218·
 2010 12 1722·
 2010 11 5321.
 2010 10 968·
 2010 09 159.
 2010 08 2413.
 2010 07 6723.
 2010 06 1329·
 2010 05 8930.
 2010 04 2340.
 2010 03 3126.
 2010 02 820·
 2010 01 6310·
 2009 12  6612·
 2009 11  2615·
 2009 10  9316.
 2009 09  8222.
 2009 08  285.
 2009 07  6010.
 2009 06  616.
 2009 05  1427.
 2009 04  823.
 2009 03  6425·
 2009 02  1013·
 2009 01  5414·
 2008 12 3312.
 2008 11 9523.
 2008 10 9421·
 2008 09 2021·
 2008 08 5327.
 2008 07 3324.
 2008 06 6935·
 2008 05 5832·
 2008 04 4328·
 2008 03 8719·
 2008 02 7422·
 2008 01 3510·
 2007 12  417·
 2007 11  8722·
 2007 10  7220.
 2007 09  4733.
 2007 08  6150.
 2007 07  9146.
 2007 06  5044.
 2007 05  1232·
 2007 04  6419.
 2007 03  7931.
 2007 02  2214.
 2007 01  7530.
 2006 12 8931·
 2006 11 5824.
 2006 10 2524·
 2006 09 421·
 2006 08 3621·
 2006 07 6118·
 2006 06 2311·
 2006 05 9413.
 2006 04 3119·
 2006 03 4316.
 2006 02 217.
 2006 01 6411·
 2005 12  2413·
 2005 11  8716.
 2005 10  7710.
 2005 09  598.
 2005 08  9025.
 2005 07  9827·
 2005 06  8518.
 2005 05  466.
 2005 04  3018.
 2005 03  1021·
 2005 02  8828.
 2005 01  2042·
 2004 12 6930.
 2004 11 7717·
 2004 10 7525.
 2004 09 119.
 2004 08 5721·
 2004 07 8319.
 2004 06 5930.
 2004 05 3325.
 2004 04 7124.
 2004 03 3334·
 2004 02 7729·
 2004 01 8423·
 2003 12  1024·
 2003 11  5929·
 2003 10  9341.
 2003 09  5038·
 2003 08  9927·
 2003 07  1825·
 2003 06  9421.
 2003 05  4831.
 2003 04  9029.
 2003 03  9230·
 2003 02  9328·
 2003 01  2416·
 2002 12 5721·
 2002 11 8722.
 2002 10 2822.
 2002 09 4622·
 2002 08 116·
 2002 07 3420·
 2002 06 6333·
 2002 05 825·
 2002 04 4731.
 2002 03 9140·
 2002 02 8424·
 2002 01 3036.
 2001 12  4634.
 2001 11  3924.
 2001 10  526.
 2001 09  5522·
 2001 08  7329·
 2001 07  8518·
 2001 06  6314.
 2001 05  5431.
 2001 04  2927.
 2001 03  6032·
 2001 02  2240.
 2001 01  2029.
 2000 12 3834·
 2000 11 2140·
 2000 10 6927.
 2000 09 7125·
 2000 08 5222.
 2000 07 4910.
 2000 06 1813.
 2000 05 5316.
 2000 04 4524.
 2000 03 5219.
 2000 02 617·
 2000 01 3519.
 1999 12  1819·
 1999 11  6124.
 1999 10  9616.
 1999 09  1017·
 1999 08  9718·
 1999 07  3215.
 1999 06  7517.
 1999 05  9814.
 1999 04  3111.
 1999 03  4727·
 1999 02  5820·
 1999 01  4225.
 1998 12 9727.
 1998 11 1420.
 1998 10 8221.
 1998 09 1326·
 1998 08 9419.
 1998 07 6224.
 1998 06 917·
 1998 05 413·
 1998 04 4822·
 1998 03 5031·
 1998 02 2724·
 1998 01 3431.
 1997 12  934·
 1997 11  5828·
 1997 10  5127·
 1997 09  4726.
 1997 08  5432·
 1997 07  9434·
 1997 06  1632.
 1997 05  1337.
 1997 04  8126·
 1997 03  8925.
 1997 02  8728·
 1997 01  2634·
 1996 12 1728·
 1996 11 033.
 1996 10 5027·
 1996 09 531.
 1996 08 1222·
 1996 07 725.
 1996 06 2029·
 1996 05 9429.
 1996 04 4125.
 1996 03 1927·
 1996 02 3425.
 1996 01 6123·
 1995 12  428·
 1995 11  6732·
 1995 10  5421.
 1995 09  220.
 1995 08  2826·
 1995 07  624·
 1995 06  6922.
 1995 05  3618.
 1995 04  6329.
 1995 03  2037.
 1995 02  9239.
 1995 01  631·
 1994 12 8329·
 1994 11 1327.
 1994 10 6027.
 1994 09 8231·
 1994 08 8926·
 1994 07 1924.
 1994 06 3632·
 1994 05 5725·
 1994 04 831.
 1994 03 9425·
 1994 02 839·
 1994 01 5233·
 1993 12  8849.
 1993 11  2048·
 1993 10  9068.
 1993 09  969.
 1993 08  540·
 1993 07  244.
 1993 06  1929.
 1993 05  9945.
 1993 04  6142·
 1993 03  7366·
 1993 02  5744·
 1993 01  1551.
 1992 12 7956.
 1992 11 8943·
 1992 10 9447.
 1992 09 7741.
 1992 08 1249·
 1992 07 3346.
 1992 06 4145·
 1992 05 2952·
 1992 04 3350.
 1992 03 1070.
 1992 02 3653.
 1992 01 3955.
 1991 12  4449·
 1991 11  5254·
 1991 10  4364·
 1991 09  253.
 1991 08  6946·
 1991 07  1648·
 1991 06  5064.
 1991 05  3851.
 1991 04  6049.
 1991 03  8471.
 1991 02  6860.
 1991 01  8953.
 1990 12 9153·
 1990 11 6149·
 1990 10 3742·
 1990 09 2645·
 1990 08 6351·
 1990 07 8166.
 1990 06 1950.
 1990 05 4363.
 1990 04 158.
 1990 03 9979.
 1990 02 265.
 1990 01 5864.
 1989 12  5663·
 1989 11  9862.
 1989 10  9843.
 1989 09  1668·
 1989 08  451.
 1989 07  8350·
 1989 06  4661·
 1989 05  8658.
 1989 04  4474.
 1989 03  8686·
 1989 02  968·
 1989 01  6264·
 1988 12 178·
 1988 11 6473·
 1988 10 7461·
 1988 09 6358·
 1988 08 2754·
 1988 07 052.
 1988 06 5558·
 1988 05 3474·
 1988 04 9765.
 1988 03 9861·
 1988 02 8952.
 1988 01 4341.
 1987 12  1150.
 1987 11  9148.
 1987 10  3955·
 1987 09  8564.
 1987 08  9457·
 1987 07  3662·
 1987 06  9358·
 1987 05  7958.
 1987 04  9774·
 1987 03  1569·
 1987 02  6445·
 1987 01  6841.
 1986 12 9546.
 1986 11 3351·
 1986 10 8964·
 1986 09 2360·
 1986 08 8946.
 1986 07 2254·
 1986 06 3355·
 1986 05 3654.
 1986 04 451.
 1986 03 4065.
 1986 02 8259·
 1986 01 2948.
 1985 12  9158.
 1985 11  6851.
 1985 10  4950·
 1985 09  4351·
 1985 08  2469·
 1985 07  1270·
 1985 06  7365.
 1985 05  4959·
 1985 04  476·
 1985 03  483.
 1985 02  1761.
 1985 01  4172·
 1984 12 5757.
 1984 11 075·
 1984 10 6761·
 1984 09 3864·
 1984 08 3369·
 1984 07 8481·
 1984 06 3789.
 1984 05 8481.
 1984 04 763·
 1984 03 6070.
 1984 02 6643.
 1984 01 4971·
 1983 12  8185·
 1983 11  60101.
 1983 10  1586·
 1983 09  2595·
 1983 08  7868.
 1983 07  4268.
 1983 06  7380·
 1983 05  3385.
 1983 04  5084.
 1983 03  8788·
 1983 02  5263.
 1983 01  1778.
 1982 12 7166·
 1982 11 278·
 1982 10 9185.
 1982 09 4578.
 1982 08 4393.
 1982 07 1887·
 1982 06 5398·
 1982 05 12111.
 1982 04 9199·
 1982 03 9196·
 1982 02 2578·
 1982 01 3878.
 1981 12  6584.
 1981 11  480.
 1981 10  19108·
 1981 09  6577·
 1981 08  4076·
 1981 07  6474·
 1981 06  7590·
 1981 05  6493.
 1981 04  1875·
 1981 03  194.
 1981 02  5594·
 1981 01  28113·
 1980 12 2281.
 1980 11 7279·
 1980 10 4785.
 1980 09 7775·
 1980 08 480·
 1980 07 5990·
 1980 06 63105·
 1980 05 55132·
 1980 04 39103.
 1980 03 69126.
 1980 02 4394·
 1980 01 3084·
 1979 12  2876·
 1979 11  3482.
 1979 10  4788.
 1979 09  98107.
 1979 08  9692·
 1979 07  991.
 1979 06  65105.
 1979 05  76121·
 1979 04  92106.
 1979 03  77125.
 1979 02  10111.
 1979 01  10116.
 1978 12 94116.
 1978 11 44106.
 1978 10 18102.
 1978 09 69112.
 1978 08 0101·
 1978 07 43119.
 1978 06 54139.
 1978 05 46145.
 1978 04 37130.
 1978 03 28142·
 1978 02 4110·
 1978 01 61107.
 1977 12  5599·
 1977 11  83112.
 1977 10  83120.
 1977 09  57127·
 1977 08  28115.
 1977 07  14123·
 1977 06  27127.
 1977 05  5133·
 1977 04  59112·
 1977 03  52139.
 1977 02  0103.
 1977 01  9796.
 1976 12 7192.
 1976 11 5498·
 1976 10 89118·
 1976 09 55119·
 1976 08 16119.
 1976 07 2113.
 1976 06 8128.
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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.
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      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: Employment Level: Nonagriculture, Unpaid Family Workers, 45-54 years: 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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