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 Series Title: Percent of Total New Entrants 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 04 415·4
 2012 03 6014·7
 2012 02 1913·8
 2012 01 613·2
 2011 12  7416.3
 2011 11  7713·3
 2011 10  719.5
 2011 09  4223.2
 2011 08  5517.3
 2011 07  3619.7
 2011 06  6819·5
 2011 05  2017.5
 2011 04  9719·8
 2011 03  194.2
 2011 02  2316.1
 2011 01  8417.8
 2010 12 7412.4
 2010 11 3317·9
 2010 10 7320.6
 2010 09 413·2
 2010 08 8714.2
 2010 07 814·4
 2010 06 8130.1
 2010 05 7424.8
 2010 04 636·8
 2010 03 314·2
 2010 02 3614.8
 2010 01 1320.5
 2009 12  506.2
 2009 11  9714·0
 2009 10  4915.6
 2009 09  6621.9
 2009 08  2415.9
 2009 07  9919·0
 2009 06  6021·2
 2009 05  019.8
 2009 04  8729.8
 2009 03  4023.8
 2009 02  3124.6
 2009 01  1120.9
 2008 12 6314.8
 2008 11 7616·1
 2008 10 4921·8
 2008 09 1719.1
 2008 08 226·3
 2008 07 8915·6
 2008 06 2840·2
 2008 05 6332·0
 2008 04 809·7
 2008 03 8527.0
 2008 02 625.7
 2008 01 1833.9
 2007 12  9837.1
 2007 11  9729.7
 2007 10  4526·3
 2007 09  7641·8
 2007 08  8046·6
 2007 07  8120.7
 2007 06  3357·6
 2007 05  5643.2
 2007 04  7845.0
 2007 03  1827.4
 2007 02  848·7
 2007 01  237·3
 2006 12 6627.8
 2006 11 1526.9
 2006 10 3542.9
 2006 09 8428.5
 2006 08 4533·5
 2006 07 444·3
 2006 06 4945.7
 2006 05 9529.4
 2006 04 4137.0
 2006 03 4228·6
 2006 02 1332.6
 2006 01 5430.5
 2005 12  327·6
 2005 11  1050·7
 2005 10  4228·6
 2005 09  728.3
 2005 08  728·6
 2005 07  1421·3
 2005 06  7239.9
 2005 05  2140·6
 2005 04  5420.8
 2005 03  8719.3
 2005 02  6737.6
 2005 01  9220·4
 2004 12 6916.2
 2004 11 8529.4
 2004 10 1418·8
 2004 09 3829.0
 2004 08 216.7
 2004 07 9028.8
 2004 06 2728.1
 2004 05 329.7
 2004 04 2934·4
 2004 03 813·3
 2004 02 4332·3
 2004 01 5718·5
 2003 12  4922·8
 2003 11  7127·0
 2003 10  2515.8
 2003 09  9325·7
 2003 08  9020·7
 2003 07  3533·8
 2003 06  6135·8
 2003 05  3140·7
 2003 04  026.0
 2003 03  8339·7
 2003 02  6417.0
 2003 01  1510.6
 2002 12 5526.2
 2002 11 2121·0
 2002 10 7143·2
 2002 09 1425·7
 2002 08 5627·6
 2002 07 8022·8
 2002 06 4738.1
 2002 05 2243.7
 2002 04 2827·4
 2002 03 1729·1
 2002 02 7824·3
 2002 01 5925.2
 2001 12  2128·1
 2001 11  1436·1
 2001 10  7822·3
 2001 09  6823.2
 2001 08  1243·0
 2001 07  7846.0
 2001 06  8438.2
 2001 05  1945·9
 2001 04  9942·3
 2001 03  3935·4
 2001 02  5945·4
 2001 01  636.6
 2000 12 929·1
 2000 11 5631.7
 2000 10 9134·1
 2000 09 4734·9
 2000 08 9221.7
 2000 07 827·6
 2000 06 9472.1
 2000 05 8845·4
 2000 04 2348·3
 2000 03 452·4
 2000 02 426·2
 2000 01 9640.2
 1999 12  424·1
 1999 11  7443·0
 1999 10  8529·9
 1999 09  6739·9
 1999 08  5824·6
 1999 07  7642·4
 1999 06  2539·7
 1999 05  2040·2
 1999 04  3720·2
 1999 03  9032·6
 1999 02  3726.2
 1999 01  9840.6
 1998 12 1525·3
 1998 11 2433·0
 1998 10 5842.5
 1998 09 7135.7
 1998 08 9429.5
 1998 07 1026·6
 1998 06 5141·1
 1998 05 3346.4
 1998 04 9925.1
 1998 03 329·8
 1998 02 529·5
 1998 01 319·1
 1997 12  8020·3
 1997 11  8531.4
 1997 10  3232·5
 1997 09  2532.4
 1997 08  1323.1
 1997 07  6424.5
 1997 06  7042.0
 1997 05  6834·6
 1997 04  9720·6
 1997 03  7119·4
 1997 02  8221·3
 1997 01  2730·6
 1996 12 5831.6
 1996 11 6226.1
 1996 10 5630·2
 1996 09 2016.4
 1996 08 4830.5
 1996 07 1839.8
 1996 06 454·0
 1996 05 9229·5
 1996 04 4034·3
 1996 03 4825·7
 1996 02 6524.2
 1996 01 1235·3
 1995 12  3639.0
 1995 11  8231.8
 1995 10  245.6
 1995 09  7432·1
 1995 08  6055·6
 1995 07  7733·6
 1995 06  240.3
 1995 05  9828·6
 1995 04  6423.8
 1995 03  1521·8
 1995 02  7822·8
 1995 01  2633·8
 1994 12 2230·4
 1994 11 125.0
 1994 10 6919·4
 1994 09 2928.3
 1994 08 3622.9
 1994 07 6922·9
 1994 06 3626.8
 1994 05 137·5
 1994 04 3031.6
 1994 03 7429.2
 1994 02 6926.5
 1994 01 6035·6
 1993 12  5450·6
 1993 11  9930.9
 1993 10  8043.1
 1993 09  5143.3
 1993 08  8541·6
 1993 07  4953.3
 1993 06  648·1
 1993 05  4351.6
 1993 04  2252.4
 1993 03  5644·7
 1993 02  1147.3
 1993 01  3047.9
 1992 12 9239.7
 1992 11 7836·3
 1992 10 8238.7
 1992 09 3241·2
 1992 08 4345.4
 1992 07 9631.3
 1992 06 3351·5
 1992 05 9258·4
 1992 04 5339·9
 1992 03 1545·7
 1992 02 135.8
 1992 01 8054.5
 1991 12  2039.2
 1991 11  6941·6
 1991 10  4950.7
 1991 09  8948.0
 1991 08  7253.1
 1991 07  1447·5
 1991 06  6657·4
 1991 05  3953.6
 1991 04  5755.2
 1991 03  3147·7
 1991 02  6360·0
 1991 01  7460·3
 1990 12 5149.9
 1990 11 2648.5
 1990 10 8043.4
 1990 09 6350·6
 1990 08 5557.0
 1990 07 3348.5
 1990 06 7862·0
 1990 05 168·8
 1990 04 9456.9
 1990 03 645.0
 1990 02 4560.6
 1990 01 652·8
 1989 12  1965·7
 1989 11  2954.9
 1989 10  9660.2
 1989 09  2265·3
 1989 08  457.4
 1989 07  646·3
 1989 06  6667.6
 1989 05  2055·9
 1989 04  5152·6
 1989 03  7164·6
 1989 02  2158·8
 1989 01  9251·2
 1988 12 8447.7
 1988 11 8052·7
 1988 10 4654.8
 1988 09 5866·9
 1988 08 5557·7
 1988 07 1554·2
 1988 06 5564·5
 1988 05 6252·4
 1988 04 3848.6
 1988 03 8147.0
 1988 02 8742.8
 1988 01 7359.0
 1987 12  3346·6
 1987 11  1152.8
 1987 10  350·5
 1987 09  8657·4
 1987 08  6754.8
 1987 07  6150·0
 1987 06  9257·8
 1987 05  1958·0
 1987 04  9047.6
 1987 03  1333.7
 1987 02  6740.9
 1987 01  1746·1
 1986 12 7646.8
 1986 11 7441·3
 1986 10 6540·9
 1986 09 4948·5
 1986 08 2741·4
 1986 07 7640.3
 1986 06 5055·5
 1986 05 959·1
 1986 04 6852.1
 1986 03 7448.9
 1986 02 947·0
 1986 01 1658.2
 1985 12  4834.4
 1985 11  5054.9
 1985 10  5539.9
 1985 09  1459·6
 1985 08  4548.3
 1985 07  1247.6
 1985 06  2755.7
 1985 05  7256·2
 1985 04  5750.5
 1985 03  9144·7
 1985 02  8645·3
 1985 01  8555.0
 1984 12 1133·0
 1984 11 4340·9
 1984 10 2251.8
 1984 09 7251·7
 1984 08 5644.2
 1984 07 5042.4
 1984 06 4651.0
 1984 05 7753.7
 1984 04 6950.9
 1984 03 1936.9
 1984 02 9744·2
 1984 01 6842.4
 1983 12  4935.6
 1983 11  8242·9
 1983 10  3738·3
 1983 09  4041·1
 1983 08  2240.8
 1983 07  9447.9
 1983 06  5553·6
 1983 05  1348.8
 1983 04  3855.9
 1983 03  3845.7
 1983 02  6446·7
 1983 01  3045.8
 1982 12 7335·8
 1982 11 2135.5
 1982 10 035.3
 1982 09 6146.4
 1982 08 2741·3
 1982 07 7338.5
 1982 06 2846·9
 1982 05 9951·1
 1982 04 2550·7
 1982 03 5241·7
 1982 02 3549.5
 1982 01 6452·5
 1981 12  1935·8
 1981 11  3950·0
 1981 10  3340.8
 1981 09  046.6
 1981 08  8240·0
 1981 07  4152.8
 1981 06  6252·3
 1981 05  7646.9
 1981 04  1650.5
 1981 03  9042·6
 1981 02  8347·0
 1981 01  8764·9
 1980 12 4653·5
 1980 11 4243.4
 1980 10 8556.1
 1980 09 5073·3
 1980 08 2350·6
 1980 07 7846·1
 1980 06 8066·4
 1980 05 1157·9
 1980 04 2248.0
 1980 03 654·2
 1980 02 754·6
 1980 01 3962·7
 1979 12  4246·0
 1979 11  5748.9
 1979 10  2855.7
 1979 09  2864·4
 1979 08  1056.0
 1979 07  8853.5
 1979 06  3166.3
 1979 05  9648.8
 1979 04  7747.3
 1979 03  8046.8
 1979 02  2945.1
 1979 01  8836.4
 1978 12 1647.1
 1978 11 4050·0
 1978 10 6045.8
 1978 09 7458.8
 1978 08 2951·6
 1978 07 053.3
 1978 06 8758.4
 1978 05 4753.8
 1978 04 4243.5
 1978 03 1650.9
 1978 02 9845·0
 1978 01 2747.7
 1977 12  445.4
 1977 11  7056·8
 1977 10  545.9
 1977 09  5745·3
 1977 08  9139·6
 1977 07  6838·8
 1977 06  4760·0
 1977 05  745.9
 1977 04  348·6
 1977 03  4341·5
 1977 02  8649·6
 1977 01  7044.0
 1976 12 6643.0
 1976 11 5144·6
 1976 10 1051·5
 1976 09 6757.0
 1976 08 3055.7
 1976 07 7360·7
 1976 06 3362.7
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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 New Entrants 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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