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 Series Title: Unemployment rate: 16 to 24 years, Black or African American: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1972 01 7725.6
 1972 02 1726·8
 1972 03 9124·4
 1972 04 5121.8
 1972 05 7620.8
 1972 06 4326.5
 1972 07 3425.1
 1972 08 5920.3
 1972 09 1022.9
 1972 10 3721.9
 1972 11 4722·6
 1972 12 3420.1
 1973 01  3020·3
 1973 02  8021·3
 1973 03  4320.1
 1973 04  2120·9
 1973 05  1120.1
 1973 06  7827.2
 1973 07  5924·5
 1973 08  8918·8
 1973 09  5322·8
 1973 10  6319·2
 1973 11  5820·3
 1973 12  3118.2
 1974 01 8221.8
 1974 02 9222.7
 1974 03 2922·8
 1974 04 6720.3
 1974 05 4820·2
 1974 06 4728.2
 1974 07 8326·4
 1974 08 4221·7
 1974 09 2625·6
 1974 10 3423.7
 1974 11 6025·3
 1974 12 2425.9
 1975 01  1730·6
 1975 02  8429.6
 1975 03  2231·4
 1975 04  729·6
 1975 05  4629.0
 1975 06  5533.7
 1975 07  5629.3
 1975 08  1029.8
 1975 09  6431.8
 1975 10  2728·5
 1975 11  7628.6
 1975 12  7926·8
 1976 01 4629·2
 1976 02 828·5
 1976 03 2027.9
 1976 04 8127·0
 1976 05 9226.2
 1976 06 3033·3
 1976 07 5028·3
 1976 08 1128.0
 1976 09 2829.8
 1976 10 4828·1
 1976 11 5428.4
 1976 12 8827·1
 1977 01  430·2
 1977 02  4530.1
 1977 03  4629.8
 1977 04  5626·4
 1977 05  9628.3
 1977 06  2833.9
 1977 07  6331·4
 1977 08  8530·8
 1977 09  331.6
 1977 10  2729.3
 1977 11  6829.8
 1977 12  6927.0
 1978 01 5229.8
 1978 02 9928.5
 1978 03 4828·3
 1978 04 2627·2
 1978 05 9326·4
 1978 06 2732.1
 1978 07 1829.8
 1978 08 024.4
 1978 09 127.7
 1978 10 1624·9
 1978 11 1426·9
 1978 12 6225·6
 1979 01  7625.1
 1979 02  9927·2
 1979 03  025.8
 1979 04  524·4
 1979 05  4424·7
 1979 06  3130·3
 1979 07  6326.5
 1979 08  4824·6
 1979 09  5626·0
 1979 10  9626.0
 1979 11  1725·2
 1979 12  3524·8
 1980 01 8628·3
 1980 02 9828.3
 1980 03 9926.1
 1980 04 3625.0
 1980 05 3526·5
 1980 06 7132·5
 1980 07 7230.7
 1980 08 4526·6
 1980 09 2929.1
 1980 10 7029.7
 1980 11 2429.3
 1980 12 8029·1
 1981 01  1829.1
 1981 02  7829·3
 1981 03  6830·3
 1981 04  8728·4
 1981 05  7727·2
 1981 06  035·3
 1981 07  4231.5
 1981 08  3330.9
 1981 09  632·2
 1981 10  6933.3
 1981 11  832.6
 1981 12  1433·7
 1982 01 3234.0
 1982 02 4134·9
 1982 03 5535.6
 1982 04 4833.7
 1982 05 434.7
 1982 06 9840·1
 1982 07 9635.9
 1982 08 7934.0
 1982 09 9736·7
 1982 10 4638·2
 1982 11 6836·8
 1982 12 7736.5
 1983 01  1337.0
 1983 02  1836·2
 1983 03  3436.1
 1983 04  3636·7
 1983 05  7737·2
 1983 06  6940.6
 1983 07  8335.7
 1983 08  7536.9
 1983 09  3836·8
 1983 10  8137.0
 1983 11  2634·8
 1983 12  3734.7
 1984 01 7333.6
 1984 02 6232.9
 1984 03 232.7
 1984 04 9332.3
 1984 05 8229.9
 1984 06 4231·6
 1984 07 7532.1
 1984 08 3730.8
 1984 09 9032·0
 1984 10 7829·7
 1984 11 3128·0
 1984 12 8628.1
 1985 01  4728·9
 1985 02  5231.5
 1985 03  8329·3
 1985 04  8729·2
 1985 05  2929·9
 1985 06  7131·5
 1985 07  7030·2
 1985 08  726·6
 1985 09  3729.8
 1985 10  6630.9
 1985 11  5529.8
 1985 12  4127.7
 1986 01 9528·5
 1986 02 9429·4
 1986 03 2430·9
 1986 04 829.3
 1986 05 5527.5
 1986 06 3631.9
 1986 07 9229·6
 1986 08 5228.1
 1986 09 9030·5
 1986 10 029.0
 1986 11 9625·7
 1986 12 4326·0
 1987 01  328.4
 1987 02  1628.4
 1987 03  9929.1
 1987 04  7427·7
 1987 05  1827.5
 1987 06  4229·9
 1987 07  8925.2
 1987 08  6522·3
 1987 09  8624·3
 1987 10  5924·2
 1987 11  7924·0
 1987 12  5922·7
 1988 01 8224·1
 1988 02 7325.4
 1988 03 626·6
 1988 04 2625·3
 1988 05 627.0
 1988 06 1727·6
 1988 07 3325·3
 1988 08 6121·6
 1988 09 8422.3
 1988 10 4621.4
 1988 11 5020.1
 1988 12 8119·8
 1989 01  6622·4
 1989 02  4423.7
 1989 03  6721·7
 1989 04  3220·8
 1989 05  2823.0
 1989 06  1528·4
 1989 07  2422·8
 1989 08  8220·5
 1989 09  7024.2
 1989 10  9322.9
 1989 11  8223·5
 1989 12  2621.4
 1990 01 1821.3
 1990 02 3321·0
 1990 03 3121.8
 1990 04 8322.4
 1990 05 2122.7
 1990 06 1725.4
 1990 07 8224.4
 1990 08 9623·8
 1990 09 5525·1
 1990 10 5223.5
 1990 11 7525·3
 1990 12 3525·1
 1991 01  2125.2
 1991 02  6925.4
 1991 03  7025·7
 1991 04  9524·7
 1991 05  4427·0
 1991 06  2629·1
 1991 07  5825.8
 1991 08  9422·9
 1991 09  7425.9
 1991 10  327.8
 1991 11  5026·1
 1991 12  7626.8
 1992 01 8727·4
 1992 02 727.6
 1992 03 8425·9
 1992 04 1126·2
 1992 05 8331·8
 1992 06 7134·3
 1992 07 2330·4
 1992 08 9326.8
 1992 09 8829.7
 1992 10 5028.8
 1992 11 5627·9
 1992 12 4028·5
 1993 01  5128.6
 1993 02  2729.2
 1993 03  9429.7
 1993 04  9729.0
 1993 05  4930.1
 1993 06  732·3
 1993 07  7627.0
 1993 08  3423.6
 1993 09  8224.4
 1993 10  2323·6
 1993 11  6626·5
 1993 12  4422.2
 1994 01 7427·3
 1994 02 3225.0
 1994 03 4925.3
 1994 04 4624·0
 1994 05 7727·4
 1994 06 1428.7
 1994 07 4124·9
 1994 08 8524·3
 1994 09 6622.0
 1994 10 7724·0
 1994 11 7721.3
 1994 12 2919·9
 1995 01  4221·0
 1995 02  5123.0
 1995 03  2222·1
 1995 04  7321.8
 1995 05  2924·4
 1995 06  9527·9
 1995 07  6427.7
 1995 08  3726·7
 1995 09  7727.2
 1995 10  8922.4
 1995 11  1419·9
 1995 12  6320·3
 1996 01 6424.1
 1996 02 4023.1
 1996 03 1224.0
 1996 04 2221.6
 1996 05 8821·8
 1996 06 8026.4
 1996 07 1925·4
 1996 08 724·2
 1996 09 7524.6
 1996 10 6524·8
 1996 11 2424·0
 1996 12 3722·5
 1997 01  7624.6
 1997 02  7724·9
 1997 03  4024·9
 1997 04  5822·0
 1997 05  6625.0
 1997 06  2327.7
 1997 07  422.6
 1997 08  3720.2
 1997 09  4621.7
 1997 10  3421.2
 1997 11  8022·3
 1997 12  6920·9
 1998 01 4021.9
 1998 02 6723·6
 1998 03 5521·3
 1998 04 7318·4
 1998 05 9921·6
 1998 06 321·8
 1998 07 4224·8
 1998 08 9321.5
 1998 09 9921·0
 1998 10 5017.6
 1998 11 8018·4
 1998 12 9916.0
 1999 01  4018·9
 1999 02  3821.0
 1999 03  3120.3
 1999 04  8417.3
 1999 05  4717.0
 1999 06  2519·7
 1999 07  8221.9
 1999 08  6818·5
 1999 09  7119.6
 1999 10  9220.3
 1999 11  4718·4
 1999 12  9516·2
 2000 01 8718.1
 2000 02 4619.1
 2000 03 6419·4
 2000 04 3416.0
 2000 05 9620.2
 2000 06 1821·3
 2000 07 9620.1
 2000 08 7819.1
 2000 09 2217.2
 2000 10 6516·4
 2000 11 3014·8
 2000 12 4815.8
 2001 01  1718·0
 2001 02  6918.6
 2001 03  7919.4
 2001 04  8820.1
 2001 05  5518·7
 2001 06  3622·7
 2001 07  8219.8
 2001 08  6622.0
 2001 09  3820.4
 2001 10  9820.9
 2001 11  022·7
 2001 12  7621.3
 2002 01 9022.4
 2002 02 1222.9
 2002 03 2325.7
 2002 04 3921·9
 2002 05 6220.3
 2002 06 5924.6
 2002 07 6322·4
 2002 08 9723.2
 2002 09 2921.3
 2002 10 4621·2
 2002 11 5722.7
 2002 12 2021.0
 2003 01  9121.1
 2003 02  421.8
 2003 03  6922·9
 2003 04  322.7
 2003 05  7524.3
 2003 06  9128.6
 2003 07  8726.6
 2003 08  6425·4
 2003 09  3023·7
 2003 10  8724·8
 2003 11  2421.2
 2003 12  4719·3
 2004 01 3223·3
 2004 02 021·7
 2004 03 1623.5
 2004 04 2219.1
 2004 05 8123.0
 2004 06 6125.5
 2004 07 2826.6
 2004 08 8321·9
 2004 09 319.5
 2004 10 2622.2
 2004 11 4720·1
 2004 12 4818·3
 2005 01  4822.5
 2005 02  7823·8
 2005 03  8722·6
 2005 04  6321·6
 2005 05  9124.5
 2005 06  2326·2
 2005 07  8423·2
 2005 08  9624·2
 2005 09  3321·4
 2005 10  9219.2
 2005 11  223.1
 2005 12  4118.5
 2006 01 9920·8
 2006 02 4322·2
 2006 03 2821·0
 2006 04 1819.2
 2006 05 3918.3
 2006 06 5721.6
 2006 07 7624.7
 2006 08 7019·1
 2006 09 3019.8
 2006 10 4020.1
 2006 11 8418.9
 2006 12 6816.1
 2007 01  7118.4
 2007 02  2517·7
 2007 03  1418·1
 2007 04  418.7
 2007 05  8717.5
 2007 06  6722.9
 2007 07  5520.5
 2007 08  9818.9
 2007 09  3018.9
 2007 10  4919·2
 2007 11  1918·3
 2007 12  9421.8
 2008 01 7421·7
 2008 02 7720·9
 2008 03 4320·4
 2008 04 6116.4
 2008 05 2021·8
 2008 06 8224·1
 2008 07 9224·8
 2008 08 9522·6
 2008 09 9322.9
 2008 10 2322·2
 2008 11 5220·4
 2008 12 1221.5
 2009 01  4424.3
 2009 02  7926.8
 2009 03  3825·3
 2009 04  5826·9
 2009 05  4829.2
 2009 06  5831·0
 2009 07  8531·2
 2009 08  327.3
 2009 09  530.4
 2009 10  9130.5
 2009 11  5931·7
 2009 12  3930.8
 2010 01 4232·5
 2010 02 3528·8
 2010 03 4630·7
 2010 04 8630.6
 2010 05 727.0
 2010 06 7231.1
 2010 07 5933·4
 2010 08 8930.8
 2010 09 7732·0
 2010 10 829·7
 2010 11 3628.3
 2010 12 1627.0
 2011 01  5330.0
 2011 02  7527.3
 2011 03  4026·5
 2011 04  6227·8
 2011 05  5829·5
 2011 06  2931·4
 2011 07  6031.0
 2011 08  4632.4
 2011 09  4429·5
 2011 10  5325.7
 2011 11  728·0
 2011 12  1128.3
 2012 01 8726·3
 2012 02 5226·0
 2012 03 2026·3
 2012 04 2723.3
 2012 05 8625·8
 2012 06 5930·2
 2012 07 6128·6
 2012 08 8928·5
 2012 09 6725·1
 2012 10 3027·6
 2012 11 2025.4
 2012 12 1527·4
 2013 01  8028.0
 2013 02  4629·7
 2013 03  726.7
 2013 04  4924.9
 2013 05  228.2
 2013 06  1631·9
 2013 07  6228·2
 2013 08  6127·3
 2013 09  3125.2
 2013 10  6925.1
 2013 11  4722·9
 2013 12  4420·7
 2014 01 9426.2
 2014 02 6223·5
 2014 03 5023·6
 2014 04 1821.4
 2014 05 4123.8
 2014 06 7823.3
 2014 07 8424·8
 2014 08 2823.6
 2014 09 4723.1
 2014 10 2322.0
 2014 11 8720.4
 2014 12 4121·7
 2015 01  1220.7
 2015 02  2920·9
 2015 03  2218·3
 2015 04  5315·8
 2015 05  6320.7
 2015 06  5223.4
 2015 07  7720.7
 2015 08  8219.4
 2015 09  4919.7
 2015 10  7318.1
 2015 11  6417.4
 2015 12  7314·9
 2016 01 4714·9
 2016 02 014.5
 2016 03 2117.9
 2016 04 9417.8
 2016 05 5518.7
 2016 06 6522·4
 2016 07 1220·6
 2016 08 4115.7
 2016 09 017.3
 2016 10 2318·3
 2016 11 2416.6
 2016 12 3114·8
 2017 01  3214.9
 2017 02  5616·2
 2017 03  7014·3
 2017 04  913·9
 2017 05  2714·6
 2017 06  7215.7
 2017 07  8816·2
 2017 08  4514·2


 2017 09  8414·2
 2017 10  114.3
 2017 11  4113.7
 2017 12  3213·3
 2018 01 3017·8
 2018 02 014.1
 2018 03 1713.3
 2018 04 8912.7
 2018 05 1413.0
 2018 06 5215·9
 2018 07 2816·5
 2018 08 6212.1
 2018 09 1211·4
 2018 10 6212.8
 2018 11 1311.2
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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: Unemployment rate: 16 to 24 years, Black or African American: 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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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