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 Series Title: Employment-Population Ratio: Black or African American Women: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 6052·8
 2012 03 952·1
 2012 02 2852·2
 2012 01 7751.0
 2011 12  3950·4
 2011 11  9850.7
 2011 10  4251·8
 2011 09  8851.5
 2011 08  3450·6
 2011 07  3649.7
 2011 06  749.8
 2011 05  4850·5
 2011 04  9750·7
 2011 03  451.0
 2011 02  3651·4
 2011 01  151·3
 2010 12 151.6
 2010 11 851·7
 2010 10 6651·6
 2010 09 1551·1
 2010 08 4851.3
 2010 07 8151·3
 2010 06 6152·0
 2010 05 8652·2
 2010 04 6351.7
 2010 03 7951·8
 2010 02 851·9
 2010 01 3251·6
 2009 12  9651.2
 2009 11  8452·0
 2009 10  2051.3
 2009 09  9751·8
 2009 08  2252.6
 2009 07  253·1
 2009 06  3653.2
 2009 05  5053.1
 2009 04  4353.5
 2009 03  6553·6
 2009 02  1853·9
 2009 01  8754.8
 2008 12 8355.3
 2008 11 2955·2
 2008 10 5455.1
 2008 09 2554.8
 2008 08 9355.6
 2008 07 7756.0
 2008 06 5755·9
 2008 05 956·0
 2008 04 4956.9
 2008 03 1456.6
 2008 02 6556·3
 2008 01 856.0
 2007 12  5056.1
 2007 11  7455.7
 2007 10  4156·3
 2007 09  1656·4
 2007 08  2256·3
 2007 07  1156·6
 2007 06  7256·7
 2007 05  5356·5
 2007 04  1556·7
 2007 03  856·9
 2007 02  7157·2
 2007 01  6257·5
 2006 12 557·2
 2006 11 7157·1
 2006 10 7757·2
 2006 09 1356·1
 2006 08 9357·1
 2006 07 3356.2
 2006 06 5356.2
 2006 05 9956.6
 2006 04 356·0
 2006 03 4956.4
 2006 02 8556.4
 2006 01 4155·9
 2005 12  8655.9
 2005 11  256·1
 2005 10  8757.0
 2005 09  8156·1
 2005 08  1755.9
 2005 07  9856.0
 2005 06  9855·8
 2005 05  9055·6
 2005 04  9755.2
 2005 03  6855·0
 2005 02  7955.0
 2005 01  6155.3
 2004 12 5255.4
 2004 11 7055.3
 2004 10 1955.5
 2004 09 1455·6
 2004 08 3055.8
 2004 07 8455·9
 2004 06 3054·7
 2004 05 9255·0
 2004 04 956.0
 2004 03 1855.8
 2004 02 5255·7
 2004 01 6555·4
 2003 12  8854·3
 2003 11  355·7
 2003 10  4554.8
 2003 09  2755.6
 2003 08  9355·6
 2003 07  9755.4
 2003 06  9955.6
 2003 05  9656.8
 2003 04  7456.1
 2003 03  7956·1
 2003 02  2655.5
 2003 01  1856.4
 2002 12 656·2
 2002 11 5855.9
 2002 10 6456·1
 2002 09 6256.5
 2002 08 9155.7
 2002 07 6455·3
 2002 06 7655.6
 2002 05 2155.5
 2002 04 5255·6
 2002 03 5555·3
 2002 02 4955·9
 2002 01 1455·9
 2001 12  4156·1
 2001 11  1256·2
 2001 10  9856.7
 2001 09  8657·0
 2001 08  3457·5
 2001 07  4258·5
 2001 06  5958.6
 2001 05  658.6
 2001 04  2958.6
 2001 03  7658·7
 2001 02  9658·5
 2001 01  6858.1
 2000 12 5458·7
 2000 11 7158·7
 2000 10 9658·5
 2000 09 9158.1
 2000 08 5858·2
 2000 07 858.1
 2000 06 7258·5
 2000 05 2058.8
 2000 04 1659.0
 2000 03 9558.9
 2000 02 6358.9
 2000 01 2359.0
 1999 12  3058.3
 1999 11  6358.8
 1999 10  3058·7
 1999 09  9458.9
 1999 08  2358·6
 1999 07  6858.7
 1999 06  6358·6
 1999 05  5458.4
 1999 04  4858.7
 1999 03  9258.1
 1999 02  7358·0
 1999 01  4558.7
 1998 12 7958·5
 1998 11 4258·1
 1998 10 057.8
 1998 09 3757·0
 1998 08 1657·3
 1998 07 5057.0
 1998 06 457·1
 1998 05 2456·0
 1998 04 8556.5
 1998 03 7257·1
 1998 02 7657·0
 1998 01 2656.5
 1997 12  3756·4
 1997 11  8955.8
 1997 10  2755·6
 1997 09  8656·4
 1997 08  4756.5
 1997 07  955.9
 1997 06  9554.8
 1997 05  7355·1
 1997 04  1455·4
 1997 03  6355·5
 1997 02  4354·9
 1997 01  8355·0
 1996 12 6554·7
 1996 11 754.8
 1996 10 6054·8
 1996 09 3354·2
 1996 08 5054.4
 1996 07 2454·7
 1996 06 5754.4
 1996 05 6854.6
 1996 04 4554.1
 1996 03 2054·1
 1996 02 7353·8
 1996 01 5754.1
 1995 12  4954·6
 1995 11  2655·5
 1995 10  7154.0
 1995 09  9552·5
 1995 08  8852·8
 1995 07  052·6
 1995 06  3952·9
 1995 05  053.7
 1995 04  1253.3
 1995 03  2253·2
 1995 02  9053·4
 1995 01  1652·5
 1994 12 9852·0
 1994 11 052.3
 1994 10 6052.5
 1994 09 1352·7
 1994 08 4552.7
 1994 07 6552.8
 1994 06 1452.8
 1994 05 8551.7
 1994 04 7852·2
 1994 03 7451·9
 1994 02 4051.8
 1994 01 5151·5
 1993 12  4852.1
 1993 11  851.8
 1993 10  4951·6
 1993 09  5651.3
 1993 08  3151.1
 1993 07  7550.7
 1993 06  8050·5
 1993 05  6750·9
 1993 04  2750.3
 1993 03  550·5
 1993 02  9750.8
 1993 01  8049·5
 1992 12 6150·6
 1992 11 5550·4
 1992 10 8650·8
 1992 09 1351.4
 1992 08 8351·9
 1992 07 751·3
 1992 06 6151·0
 1992 05 1150.4
 1992 04 7050.3
 1992 03 6850.4
 1992 02 5950.3
 1992 01 4350.3
 1991 12  2150·3
 1991 11  6949.7
 1991 10  4449.6
 1991 09  351.2
 1991 08  6150·3
 1991 07  6851·0
 1991 06  350.6
 1991 05  950·9
 1991 04  4251.1
 1991 03  4450.9
 1991 02  4950·8
 1991 01  851.1
 1990 12 3950·9
 1990 11 651·2
 1990 10 2151·2
 1990 09 6651.0
 1990 08 5151·2
 1990 07 8551.4
 1990 06 8052·1
 1990 05 7952.9
 1990 04 552·5
 1990 03 3752.8
 1990 02 1652·9
 1990 01 6652·9
 1989 12  5051·9
 1989 11  4452.0
 1989 10  4051·7
 1989 09  7052·0
 1989 08  6252·0
 1989 07  1352.3
 1989 06  9151·6
 1989 05  6252.3
 1989 04  4251·8
 1989 03  7651.9
 1989 02  3152·0
 1989 01  3451·9
 1988 12 1552.4
 1988 11 8852·1
 1988 10 4951.8
 1988 09 751·4
 1988 08 3251·4
 1988 07 3251.9
 1988 06 5750.1
 1988 05 2450·1
 1988 04 6750.1
 1988 03 1450·6
 1988 02 9450.9
 1988 01 5551·2
 1987 12  2151.5
 1987 11  6751·4
 1987 10  2251.5
 1987 09  9350·5
 1987 08  1951·3
 1987 07  4650.7
 1987 06  2950.2
 1987 05  5849·9
 1987 04  1249.5
 1987 03  3349.2
 1987 02  2749·4
 1987 01  9448.8
 1986 12 7648.7
 1986 11 3549.0
 1986 10 5649.2
 1986 09 7048·8
 1986 08 1048·2
 1986 07 8448.7
 1986 06 7748.9
 1986 05 8049.1
 1986 04 4049.2
 1986 03 3548·9
 1986 02 7948.5
 1986 01 4448.5
 1985 12  1748.6
 1985 11  7248.0
 1985 10  7448.1
 1985 09  547.7
 1985 08  1547.8
 1985 07  047.9
 1985 06  148·6
 1985 05  3348.0
 1985 04  3648.5
 1985 03  5148·2
 1985 02  2247·5
 1985 01  2148·4
 1984 12 448·0
 1984 11 8247·9
 1984 10 2547·3
 1984 09 9047·5
 1984 08 7047.4
 1984 07 7446·9
 1984 06 2347·3
 1984 05 8246.4
 1984 04 1046.1
 1984 03 3445·6
 1984 02 5445.7
 1984 01 6844·4
 1983 12  2344·1
 1983 11  9444·1
 1983 10  8143·9
 1983 09  4144.8
 1983 08  3644·3
 1983 07  1044·4
 1983 06  9243·7
 1983 05  2044.1
 1983 04  9843·8
 1983 03  6444·0
 1983 02  9944·5
 1983 01  5043·8
 1982 12 8544·1
 1982 11 6243.8
 1982 10 4144.0
 1982 09 044.4
 1982 08 9744.3
 1982 07 3744.0
 1982 06 8044·2
 1982 05 6444·0
 1982 04 6043.7
 1982 03 4444.2
 1982 02 444.5
 1982 01 6145·2
 1981 12  2444.9
 1981 11  6745·6
 1981 10  2745·0
 1981 09  3544·6
 1981 08  6544·3
 1981 07  1045.0
 1981 06  8545.1
 1981 05  5545·2
 1981 04  8246.3
 1981 03  645.2
 1981 02  4345·2
 1981 01  1645.7
 1980 12 245.2
 1980 11 1145.3
 1980 10 8845·4
 1980 09 3645·7
 1980 08 7446·0
 1980 07 745.7
 1980 06 3245·4
 1980 05 6045·7
 1980 04 7545·6
 1980 03 145·8
 1980 02 1446.3
 1980 01 5746·4
 1979 12  446.6
 1979 11  2546·5
 1979 10  9646·4
 1979 09  2145.9
 1979 08  8645.3
 1979 07  3446·3
 1979 06  6745·8
 1979 05  7145.4
 1979 04  7345.9
 1979 03  1146.6
 1979 02  3945·8
 1979 01  5245·8
 1978 12 4046·0
 1978 11 6246·0
 1978 10 5046.5
 1978 09 3246·7
 1978 08 8746·6
 1978 07 2045·3
 1978 06 6346·1
 1978 05 545·7
 1978 04 3945.6
 1978 03 3945.4
 1978 02 6745·4
 1978 01 9244·8
 1977 12  4745.0
 1977 11  343·3
 1977 10  7343.5
 1977 09  3543.8
 1977 08  8643.5
 1977 07  1842.9
 1977 06  2043.3
 1977 05  443·7
 1977 04  5643.1
 1977 03  1542·8
 1977 02  7042·5
 1977 01  9342.5
 1976 12 8442·7
 1976 11 5143.3
 1976 10 1342·2
 1976 09 2242.3
 1976 08 1942.5
 1976 07 842.4
 1976 06 5942·8
 1976 05 3443.1
 1976 04 3643·4
 1976 03 9243.8
 1976 02 4842·6
 1976 01 9842·6
 1975 12  3742.1
 1975 11  3541·8
 1975 10  4241.6
 1975 09  941.4
 1975 08  4641·4
 1975 07  9441·7
 1975 06  2942.0
 1975 05  8641.5
 1975 04  1541·4
 1975 03  5141·6
 1975 02  2241.4
 1975 01  7341·8
 1974 12 1742·0
 1974 11 1142.3
 1974 10 5943·5
 1974 09 4044.3
 1974 08 5443·9
 1974 07 743.6
 1974 06 343·8
 1974 05 7943.9
 1974 04 5243.7
 1974 03 9542·9
 1974 02 4243·9
 1974 01 1144.0
 1973 12  5944.0
 1973 11  5744.2
 1973 10  8844·4
 1973 09  8043.9
 1973 08  5344·4
 1973 07  9944·5
 1973 06  7943·1
 1973 05  5443·3
 1973 04  3343·5
 1973 03  5343·8
 1973 02  7943·8
 1973 01  2843.1
 1972 12 2543·9
 1972 11 7743.7
 1972 10 7542·3
 1972 09 2142.7
 1972 08 7842·4
 1972 07 5042.6
 1972 06 8042.9
 1972 05 7743.2
 1972 04 6943·0
 1972 03 8142·9
 1972 02 3242.9
 1972 01 6543.1
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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

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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-Population Ratio: Black or African American Women: SA
   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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