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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 9025.6
 1972 02 026.8
 1972 03 6224.4
 1972 04 221.8
 1972 05 7420.8
 1972 06 3026·5
 1972 07 2725.1
 1972 08 5020.3
 1972 09 6722·9
 1972 10 121.9
 1972 11 3622.6
 1972 12 4120.1
 1973 01  2120·3
 1973 02  9721.3
 1973 03  320.1
 1973 04  1820·9
 1973 05  1120.1
 1973 06  2327·2
 1973 07  6624·5
 1973 08  5118·8
 1973 09  3722·8
 1973 10  1119.2
 1973 11  8720·3
 1973 12  3318·2
 1974 01 2521·8
 1974 02 1822·7
 1974 03 5422.8
 1974 04 8520·3
 1974 05 2420.2
 1974 06 2528·2
 1974 07 8026·4
 1974 08 4921·7
 1974 09 1125·6
 1974 10 3923.7
 1974 11 325.3
 1974 12 9625.9
 1975 01  8630.6
 1975 02  9229·6
 1975 03  8631.4
 1975 04  2029.6
 1975 05  7529·0
 1975 06  4133·7
 1975 07  1729.3
 1975 08  3929·8
 1975 09  2631·8
 1975 10  6628.5
 1975 11  928·6
 1975 12  9726.8
 1976 01 1729·2
 1976 02 7528·5
 1976 03 9927.9
 1976 04 6427.0
 1976 05 4726·2
 1976 06 9933·3
 1976 07 5128·3
 1976 08 3528.0
 1976 09 4229.8
 1976 10 9628·1
 1976 11 5128·4
 1976 12 2727·1
 1977 01  5230.2
 1977 02  4530.1
 1977 03  1529.8
 1977 04  8626.4
 1977 05  5328·3
 1977 06  5533·9
 1977 07  7831.4
 1977 08  8030·8
 1977 09  4531·6
 1977 10  5729·3
 1977 11  429·8
 1977 12  327.0
 1978 01 5329·8
 1978 02 728.5
 1978 03 8128·3
 1978 04 7627·2
 1978 05 2726.4
 1978 06 8732.1
 1978 07 2229.8
 1978 08 4124.4
 1978 09 4427·7
 1978 10 424·9
 1978 11 6526·9
 1978 12 6825·6
 1979 01  325·1
 1979 02  9027·2
 1979 03  7225.8
 1979 04  5124.4
 1979 05  3124.7
 1979 06  030·3
 1979 07  3226·5
 1979 08  924.6
 1979 09  7626.0
 1979 10  1826·0
 1979 11  5725·2
 1979 12  8724·8
 1980 01 1528.3
 1980 02 4828.3
 1980 03 8626·1
 1980 04 5325·0
 1980 05 4926·5
 1980 06 2332.5
 1980 07 8030·7
 1980 08 226·6
 1980 09 129.1
 1980 10 029·7
 1980 11 2929.3
 1980 12 5229.1
 1981 01  2429·1
 1981 02  6129.3
 1981 03  4430.3
 1981 04  4928.4
 1981 05  9227.2
 1981 06  1135·3
 1981 07  6531·5
 1981 08  6030.9
 1981 09  532.2
 1981 10  8233.3
 1981 11  5332·6
 1981 12  8133·7
 1982 01 9034.0
 1982 02 3234.9
 1982 03 9635·6
 1982 04 3033.7
 1982 05 9634·7
 1982 06 4240·1
 1982 07 835.9
 1982 08 5234·0
 1982 09 9836.7
 1982 10 1838·2
 1982 11 2736.8
 1982 12 1536.5
 1983 01  9837·0
 1983 02  9236·2
 1983 03  1436·1
 1983 04  1436.7
 1983 05  2137.2
 1983 06  2140.6
 1983 07  5935.7
 1983 08  6836.9
 1983 09  1636·8
 1983 10  8637.0
 1983 11  7434·8
 1983 12  2134.7
 1984 01 6033.6
 1984 02 9432·9
 1984 03 9732·7
 1984 04 4332·3
 1984 05 5329.9
 1984 06 7731·6
 1984 07 9132.1
 1984 08 2630.8
 1984 09 2032·0
 1984 10 9129·7
 1984 11 4328·0
 1984 12 9128·1
 1985 01  1128·9
 1985 02  1831·5
 1985 03  6729·3
 1985 04  8229·2
 1985 05  229·9
 1985 06  6431.5
 1985 07  130.2
 1985 08  6726·6
 1985 09  9429.8
 1985 10  6230.9
 1985 11  729·8
 1985 12  4227.7
 1986 01 1128·5
 1986 02 6829.4
 1986 03 7330·9
 1986 04 2429.3
 1986 05 527·5
 1986 06 6331·9
 1986 07 1329·6
 1986 08 5828·1
 1986 09 4930.5
 1986 10 5429.0
 1986 11 6325·7
 1986 12 1426·0
 1987 01  4628.4
 1987 02  7328·4
 1987 03  8729.1
 1987 04  8627.7
 1987 05  2027.5
 1987 06  7729.9
 1987 07  7425·2
 1987 08  9122.3
 1987 09  2224·3
 1987 10  4624.2
 1987 11  3524.0
 1987 12  7622·7
 1988 01 2724.1
 1988 02 8825.4
 1988 03 826·6
 1988 04 925.3
 1988 05 3527.0
 1988 06 3527.6
 1988 07 5825.3
 1988 08 8321·6
 1988 09 7222.3
 1988 10 4221·4
 1988 11 7020.1
 1988 12 1919.8
 1989 01  8822·4
 1989 02  9223.7
 1989 03  5921·7
 1989 04  6020·8
 1989 05  5923·0
 1989 06  9128.4
 1989 07  6222.8
 1989 08  7520.5
 1989 09  8524·2
 1989 10  7122.9
 1989 11  4223·5
 1989 12  5921.4
 1990 01 9221.3
 1990 02 8921·0
 1990 03 8721.8
 1990 04 3122·4
 1990 05 2922.7
 1990 06 2625.4
 1990 07 1024·4
 1990 08 3523.8
 1990 09 7225.1
 1990 10 8923·5
 1990 11 4925·3
 1990 12 3925.1
 1991 01  2225.2
 1991 02  925·4
 1991 03  6625·7
 1991 04  3924.7
 1991 05  427.0
 1991 06  4329·1
 1991 07  5025·8
 1991 08  5322.9
 1991 09  6825.9
 1991 10  7327·8
 1991 11  1426.1
 1991 12  2626.8
 1992 01 9027·4
 1992 02 527·6
 1992 03 9425.9
 1992 04 2626·2
 1992 05 7031·8
 1992 06 7234.3
 1992 07 5530·4
 1992 08 4826·8
 1992 09 3329.7
 1992 10 2928.8
 1992 11 8427·9
 1992 12 1028.5
 1993 01  3128.6
 1993 02  5829·2
 1993 03  9429.7
 1993 04  5829.0
 1993 05  3830·1
 1993 06  6632·3
 1993 07  2327.0
 1993 08  6023·6
 1993 09  5424.4
 1993 10  8523.6
 1993 11  3326.5
 1993 12  1022·2
 1994 01 627·3
 1994 02 7125·0
 1994 03 1425·3
 1994 04 2724.0
 1994 05 4327·4
 1994 06 628·7
 1994 07 7624.9
 1994 08 5624.3
 1994 09 4122.0
 1994 10 9624·0
 1994 11 6021.3
 1994 12 6619·9
 1995 01  021.0
 1995 02  7423.0
 1995 03  2622·1
 1995 04  5021.8
 1995 05  4624.4
 1995 06  9527.9
 1995 07  6427.7
 1995 08  2926·7
 1995 09  2927.2
 1995 10  4222·4
 1995 11  8619.9
 1995 12  4620.3
 1996 01 2424·1
 1996 02 2123·1
 1996 03 3024.0
 1996 04 6921.6
 1996 05 3321·8
 1996 06 6326.4
 1996 07 5925.4
 1996 08 9524·2
 1996 09 7924·6
 1996 10 2624·8
 1996 11 6024.0
 1996 12 4122.5
 1997 01  1424.6
 1997 02  9124·9
 1997 03  4724.9
 1997 04  5122·0
 1997 05  1325.0
 1997 06  6427·7
 1997 07  5822.6
 1997 08  9520.2
 1997 09  7621.7
 1997 10  7821.2
 1997 11  5622·3
 1997 12  6820.9
 1998 01 3021.9
 1998 02 8923.6
 1998 03 2721·3
 1998 04 8718.4
 1998 05 2321.6
 1998 06 7821.8
 1998 07 8624·8
 1998 08 9821.5
 1998 09 3221·0
 1998 10 5217·6
 1998 11 7018.4
 1998 12 6916·0
 1999 01  5718.9
 1999 02  4421·0
 1999 03  4220·3
 1999 04  9417.3
 1999 05  2317·0
 1999 06  819·7
 1999 07  9021·9
 1999 08  9318·5
 1999 09  8119.6
 1999 10  2820·3
 1999 11  2718.4
 1999 12  1016.2
 2000 01 618.1
 2000 02 919.1
 2000 03 9019·4
 2000 04 1416.0
 2000 05 9820·2
 2000 06 8421.3
 2000 07 4320.1
 2000 08 9919.1
 2000 09 8417·2
 2000 10 916.4
 2000 11 7414·8
 2000 12 8515.8
 2001 01  1218.0
 2001 02  6618.6
 2001 03  9419.4
 2001 04  1420·1
 2001 05  6018·7
 2001 06  6122·7
 2001 07  4319·8
 2001 08  5722·0
 2001 09  2620·4
 2001 10  2620.9
 2001 11  8422·7
 2001 12  821·3
 2002 01 3722·4
 2002 02 1722.9
 2002 03 325·7
 2002 04 8621.9
 2002 05 4320·3
 2002 06 1724.6
 2002 07 1422.4
 2002 08 3423·2
 2002 09 1921.3
 2002 10 3121·2
 2002 11 5522.7
 2002 12 2321.0
 2003 01  6621·1
 2003 02  9221.8
 2003 03  8922.9
 2003 04  4522.7
 2003 05  824·3
 2003 06  5728.6
 2003 07  326.6
 2003 08  2225·4
 2003 09  9723.7
 2003 10  624·8
 2003 11  1121.2
 2003 12  9519.3
 2004 01 823·3
 2004 02 4621.7
 2004 03 5023.5
 2004 04 3519.1
 2004 05 4223·0
 2004 06 1025.5
 2004 07 8426·6
 2004 08 3621·9
 2004 09 2219·5
 2004 10 5322·2
 2004 11 9920·1
 2004 12 1718·3
 2005 01  122·5
 2005 02  5823·8
 2005 03  1022.6
 2005 04  2221·6
 2005 05  5324.5
 2005 06  3026·2
 2005 07  5323.2
 2005 08  2024·2
 2005 09  7921.4
 2005 10  219·2
 2005 11  9323.1
 2005 12  618·5
 2006 01 420.8
 2006 02 3122.2
 2006 03 1621·0
 2006 04 9819·2
 2006 05 7818·3
 2006 06 9721·6
 2006 07 3624·7
 2006 08 4119·1
 2006 09 7819.8
 2006 10 820.1
 2006 11 9018·9
 2006 12 316·1
 2007 01  318·4
 2007 02  9617·7
 2007 03  4218·1
 2007 04  7918.7
 2007 05  7817·5
 2007 06  1622·9
 2007 07  7920.5
 2007 08  8818·9
 2007 09  5518·9
 2007 10  5019.2
 2007 11  1418.3
 2007 12  7521·8
 2008 01 821·7
 2008 02 620·9
 2008 03 8520.4
 2008 04 816·4
 2008 05 3821.8
 2008 06 1424.1
 2008 07 5524.8
 2008 08 8122·6
 2008 09 7022·9
 2008 10 3222.2
 2008 11 1220.4
 2008 12 1421.5
 2009 01  5524·3
 2009 02  4126.8
 2009 03  6925·3
 2009 04  5026·9
 2009 05  6829.2
 2009 06  4831.0
 2009 07  6331·2
 2009 08  6027.3
 2009 09  930·4
 2009 10  8430.5
 2009 11  5831·7
 2009 12  3630·8
 2010 01 532.5
 2010 02 628.8
 2010 03 4130·7
 2010 04 9930.6
 2010 05 427.0
 2010 06 9531.1
 2010 07 2633.4
 2010 08 9230.8
 2010 09 8332.0
 2010 10 5929.7
 2010 11 4928.3
 2010 12 8427·0
 2011 01  4230·0
 2011 02  2827·3
 2011 03  7526.5
 2011 04  7027.8
 2011 05  729.5
 2011 06  6131·4
 2011 07  9131·0
 2011 08  6932.4
 2011 09  2729.5
 2011 10  3725·7
 2011 11  1028·0
 2011 12  2528.3
 2012 01 7926.3
 2012 02 6426.0
 2012 03 6926·3
 2012 04 623.3
 2012 05 6225.8
 2012 06 7430.2
 2012 07 3228·6
 2012 08 828.5
 2012 09 225·1
 2012 10 2227.6
 2012 11 8725·4
 2012 12 4927.4
 2013 01  4928·0
 2013 02  9229.7
 2013 03  4626.7
 2013 04  7424·9
 2013 05  7928·2
 2013 06  8831·9
 2013 07  4728·2
 2013 08  5127·3
 2013 09  9325.2
 2013 10  4425·1
 2013 11  5422.9
 2013 12  7420.7
 2014 01 1426.2
 2014 02 1623.5
 2014 03 5423·6
 2014 04 6421·4
 2014 05 9523·8
 2014 06 8523·3
 2014 07 5924.8
 2014 08 6323·6
 2014 09 1023.1
 2014 10 5722.0
 2014 11 920.4
 2014 12 4221·7
 2015 01  6020·7
 2015 02  6520·9
 2015 03  6518·3
 2015 04  9415·8
 2015 05  7020.7
 2015 06  6623·4
 2015 07  1620.7
 2015 08  3919·4
 2015 09  9019·7
 2015 10  4018.1
 2015 11  7417.4
 2015 12  2014·9
 2016 01 9614.9
 2016 02 9514·5
 2016 03 7817·9
 2016 04 617·8
 2016 05 8918.7
 2016 06 6222·4
 2016 07 9120.6
 2016 08 9315.7
 2016 09 9317.3
 2016 10 9818·3
 2016 11 9916·6
 2016 12 9814·8
 2017 01  5914·9
 2017 02  8416·2
 2017 03  1714.3
 2017 04  6713.9
 2017 05  6214.6
 2017 06  2715·7
 2017 07  8116·2
 2017 08  6814·2
 2017 09  414.2
 2017 10  5914.3


 2017 11  5613·7
 2017 12  9513·3
 2018 01 817·8
 2018 02 3714·1
 2018 03 2813·3
 2018 04 6812.7
 2018 05 2713.0
 2018 06 4115.9
 2018 07 1116·5
 2018 08 3012·1
 2018 09 3411.4
 2018 10 7912.8
 2018 11 4311·2
 2018 12 5112·5
 2019 01  3016.3
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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

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