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 Series Title: Percent of Total Reentrants 20 years and over, Women Unemployed Less than 5 Weeks: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 7315.7
 2012 03 3414·5
 2012 02 8514·0
 2012 01 7919·0
 2011 12  9314.9
 2011 11  615.2
 2011 10  9815.0
 2011 09  8220·4
 2011 08  4815·2
 2011 07  4513.8
 2011 06  8220.6
 2011 05  5220.8
 2011 04  8816.1
 2011 03  3315.6
 2011 02  4813.4
 2011 01  3522.0
 2010 12 8914.6
 2010 11 7612.0
 2010 10 3415.5
 2010 09 9718.7
 2010 08 5118.1
 2010 07 719.1
 2010 06 420·0
 2010 05 3518·2
 2010 04 013·5
 2010 03 8114.2
 2010 02 4516·1
 2010 01 6721·9
 2009 12  8615·6
 2009 11  8115·3
 2009 10  7022.9
 2009 09  3616.6
 2009 08  8521·2
 2009 07  1320.8
 2009 06  1725·8
 2009 05  1323.8
 2009 04  9618.9
 2009 03  920·7
 2009 02  4921·7
 2009 01  9230.3
 2008 12 4622·8
 2008 11 2525.6
 2008 10 5324.5
 2008 09 9124·2
 2008 08 8426.7
 2008 07 4326.8
 2008 06 4429·6
 2008 05 5435.2
 2008 04 8623·9
 2008 03 6927·9
 2008 02 5830.5
 2008 01 5230.2
 2007 12  5228·6
 2007 11  3629·1
 2007 10  5829·6
 2007 09  7734.9
 2007 08  935.9
 2007 07  032·1
 2007 06  3337.5
 2007 05  5033.5
 2007 04  528·9
 2007 03  4231·1
 2007 02  9531·7
 2007 01  1431.6
 2006 12 1725·3
 2006 11 7032.0
 2006 10 8234.4
 2006 09 3832.8
 2006 08 4528.5
 2006 07 1433·4
 2006 06 5735.5
 2006 05 1636·4
 2006 04 1431.8
 2006 03 3228.2
 2006 02 828·8
 2006 01 6934.1
 2005 12  7528·0
 2005 11  533·0
 2005 10  4831.9
 2005 09  3936.2
 2005 08  430·6
 2005 07  3929·0
 2005 06  1537.7
 2005 05  9637.2
 2005 04  9924.9
 2005 03  6729·3
 2005 02  7127.7
 2005 01  3430·1
 2004 12 8826·7
 2004 11 4528·5
 2004 10 429.5
 2004 09 7234.1
 2004 08 2025·0
 2004 07 5527·2
 2004 06 2837.3
 2004 05 5533.7
 2004 04 7026.7
 2004 03 325.4
 2004 02 8024·9
 2004 01 5133.5
 2003 12  4019·8
 2003 11  2126.8
 2003 10  2434.2
 2003 09  5530·8
 2003 08  5432.5
 2003 07  6627.9
 2003 06  4632.2
 2003 05  8639.7
 2003 04  6326.8
 2003 03  1929.0
 2003 02  6030.1
 2003 01  8732·4
 2002 12 4229.0
 2002 11 8629·3
 2002 10 529·4
 2002 09 2938.1
 2002 08 9234.4
 2002 07 034·7
 2002 06 4137.2
 2002 05 534.8
 2002 04 3828.5
 2002 03 1831.5
 2002 02 5929.4
 2002 01 3438.6
 2001 12  3032.2
 2001 11  2038.3
 2001 10  7036·9
 2001 09  6136.7
 2001 08  4438·3
 2001 07  1437.3
 2001 06  1245.0
 2001 05  5444·0
 2001 04  8038.3
 2001 03  3031.8
 2001 02  4935·5
 2001 01  840·8
 2000 12 6434·3
 2000 11 2739.6
 2000 10 6740.1
 2000 09 4345·2
 2000 08 4639.8
 2000 07 8441.2
 2000 06 8148·3
 2000 05 145·2
 2000 04 136·1
 2000 03 1040·6
 2000 02 2843·5
 2000 01 5243.7
 1999 12  3039.8
 1999 11  3535·7
 1999 10  7039·6
 1999 09  9141.7
 1999 08  5843·7
 1999 07  1740.4
 1999 06  9746.8
 1999 05  3643.6
 1999 04  3640.1
 1999 03  3734·2
 1999 02  2035.9
 1999 01  3139.9
 1998 12 3834.8
 1998 11 137.4
 1998 10 7738.6
 1998 09 4739·5
 1998 08 6644.6
 1998 07 4133.9
 1998 06 3244·7
 1998 05 7640.4
 1998 04 4538.3
 1998 03 1436.7
 1998 02 7232.5
 1998 01 3940.3
 1997 12  2432·7
 1997 11  235·0
 1997 10  1034·2
 1997 09  7837.1
 1997 08  8139·5
 1997 07  1129·2
 1997 06  8433.9
 1997 05  6436·1
 1997 04  1430.7
 1997 03  7232.0
 1997 02  5825·7
 1997 01  9137·9
 1996 12 4927·0
 1996 11 4335.8
 1996 10 1831·2
 1996 09 7740·7
 1996 08 3735.1
 1996 07 533·1
 1996 06 7739·3
 1996 05 6638·6
 1996 04 5326·2
 1996 03 6528·2
 1996 02 7533.8
 1996 01 2935·4
 1995 12  9828·4
 1995 11  5429·9
 1995 10  7335.8
 1995 09  5838.6
 1995 08  9636·4
 1995 07  2934·0
 1995 06  5938·4
 1995 05  7437·7
 1995 04  9936.6
 1995 03  7230.0
 1995 02  4731.9
 1995 01  2037·9
 1994 12 8127·9
 1994 11 8932.9
 1994 10 7431·3
 1994 09 6634·7
 1994 08 4333.0
 1994 07 1137.3
 1994 06 338.1
 1994 05 537.6
 1994 04 1129·5
 1994 03 9731.0
 1994 02 2229·8
 1994 01 5740.4
 1993 12  3542.6
 1993 11  2643.0
 1993 10  4443.7
 1993 09  6649·3
 1993 08  8946·0
 1993 07  645·4
 1993 06  654·8
 1993 05  050·5
 1993 04  7547·2
 1993 03  6941.1
 1993 02  7247.2
 1993 01  5545.3
 1992 12 1938.0
 1992 11 7145.8
 1992 10 3044·5
 1992 09 4947.4
 1992 08 6945.9
 1992 07 9350.2
 1992 06 9250.4
 1992 05 2750·7
 1992 04 244·4
 1992 03 4345.9
 1992 02 9740·9
 1992 01 5748·7
 1991 12  1943·3
 1991 11  5247·9
 1991 10  650.3
 1991 09  3459.6
 1991 08  4447·8
 1991 07  7749·1
 1991 06  954·9
 1991 05  7760.6
 1991 04  2748.1
 1991 03  9946·2
 1991 02  1851·2
 1991 01  2953·4
 1990 12 4649.0
 1990 11 2546.6
 1990 10 7152.7
 1990 09 6157·2
 1990 08 9955.3
 1990 07 8655.0
 1990 06 3064·2
 1990 05 6653.3
 1990 04 1150.5
 1990 03 4054.8
 1990 02 8453·2
 1990 01 6459.5
 1989 12  3552·7
 1989 11  6754·7
 1989 10  4658.5
 1989 09  9861.5
 1989 08  4458·6
 1989 07  7558.6
 1989 06  5359·3
 1989 05  3858.4
 1989 04  4051.2
 1989 03  9550.7
 1989 02  6855·6
 1989 01  7756·4
 1988 12 4750·7
 1988 11 8458·0
 1988 10 8058.3
 1988 09 3665.3
 1988 08 1653.7
 1988 07 2355·4
 1988 06 163.2
 1988 05 5855.8
 1988 04 2351.3
 1988 03 2048.2
 1988 02 6850.4
 1988 01 1253·6
 1987 12  6746.5
 1987 11  553·8
 1987 10  4652·1
 1987 09  9257.6
 1987 08  7553.1
 1987 07  3555.4
 1987 06  2157·7
 1987 05  1855.3
 1987 04  9649.6
 1987 03  9351.8
 1987 02  746.4
 1987 01  3351.6
 1986 12 745·1
 1986 11 8449.7
 1986 10 4249·4
 1986 09 855·2
 1986 08 652·2
 1986 07 4048·4
 1986 06 8855·2
 1986 05 3551.1
 1986 04 2148·3
 1986 03 1848.6
 1986 02 3448.7
 1986 01 3555.2
 1985 12  144·9
 1985 11  048.1
 1985 10  9151·4
 1985 09  5056·6
 1985 08  2152.8
 1985 07  9252.3
 1985 06  9954.6
 1985 05  5150·7
 1985 04  8249·0
 1985 03  2651·1
 1985 02  2048.4
 1985 01  3255·8
 1984 12 943.6
 1984 11 5851·8
 1984 10 4251·4
 1984 09 1153.5
 1984 08 5455.1
 1984 07 7050·8
 1984 06 7751·7
 1984 05 3349.9
 1984 04 9049·2
 1984 03 6945.5
 1984 02 6545.4
 1984 01 6749·0
 1983 12  1949·4
 1983 11  8749.0
 1983 10  6649.2
 1983 09  760·0
 1983 08  6653.5
 1983 07  7947·6
 1983 06  7150.7
 1983 05  7351·2
 1983 04  8142·5
 1983 03  2844·2
 1983 02  9044·2
 1983 01  748·2
 1982 12 3945.2
 1982 11 4146·2
 1982 10 6345·0
 1982 09 8152·9
 1982 08 4254·0
 1982 07 4851·0
 1982 06 5252.1
 1982 05 8652.4
 1982 04 1448.3
 1982 03 746.5
 1982 02 4543.4
 1982 01 4457·2
 1981 12  744·1
 1981 11  054·4
 1981 10  5554·7
 1981 09  9860.3
 1981 08  9454·5
 1981 07  3252·7
 1981 06  2058·1
 1981 05  1655.8
 1981 04  7751·0
 1981 03  3552·8
 1981 02  347.5
 1981 01  9457·2
 1980 12 8144.2
 1980 11 6750.4
 1980 10 9158.4
 1980 09 5058·2
 1980 08 5656.8
 1980 07 952.5
 1980 06 9760.2
 1980 05 2957·4
 1980 04 7954.4
 1980 03 6756·3
 1980 02 6053.0
 1980 01 9959.8
 1979 12  4846.4
 1979 11  7354.2
 1979 10  4355.1
 1979 09  5563·0
 1979 08  9060.6
 1979 07  8454.2
 1979 06  3260.9
 1979 05  1648·5
 1979 04  5552·7
 1979 03  8151·6
 1979 02  4255·3
 1979 01  2657·9
 1978 12 1951·1
 1978 11 7153·5
 1978 10 953·2
 1978 09 5564·5
 1978 08 8154·0
 1978 07 8656·9
 1978 06 9758.4
 1978 05 9560.2
 1978 04 6751·3
 1978 03 8253·6
 1978 02 9450·2
 1978 01 6756.5
 1977 12  2846·3
 1977 11  4152.3
 1977 10  1359.3
 1977 09  1560.7
 1977 08  3951·7
 1977 07  7050.2
 1977 06  9155·7
 1977 05  752.7
 1977 04  054.8
 1977 03  051.8
 1977 02  9148.1
 1977 01  3958.7
 1976 12 3741·9
 1976 11 8748.0
 1976 10 251·0
 1976 09 2861.4
 1976 08 056·1
 1976 07 1451·8
 1976 06 3654·5
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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: Percent of Total Reentrants 20 years and over, Women Unemployed Less than 5 Weeks: 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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