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 Series Title: Number Unemployed for 5-6 weeks 16-19 yrs. Male: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1976 06 5895·
 1976 07 19220·
 1976 08 4797.
 1976 09 8861.
 1976 10 1399·
 1976 11 9482·
 1976 12 680·
 1977 01  5485.
 1977 02  23105.
 1977 03  5554·
 1977 04  5451·
 1977 05  658·
 1977 06  36101.
 1977 07  84210.
 1977 08  286.
 1977 09  8843.
 1977 10  29109.
 1977 11  8657.
 1977 12  9062·
 1978 01 6966·
 1978 02 259·
 1978 03 9572.
 1978 04 8058.
 1978 05 4454·
 1978 06 8151.
 1978 07 66191.
 1978 08 6069.
 1978 09 3251.
 1978 10 15102.
 1978 11 8266·
 1978 12 43100·
 1979 01  7776.
 1979 02  81106·
 1979 03  4863.
 1979 04  6660·
 1979 05  4758·
 1979 06  7872.
 1979 07  97172·
 1979 08  9363.
 1979 09  3870·
 1979 10  32100.
 1979 11  8482·
 1979 12  1277·
 1980 01 6889.
 1980 02 9485.
 1980 03 9349·
 1980 04 3565·
 1980 05 8249.
 1980 06 38101.
 1980 07 29251·
 1980 08 072·
 1980 09 4863.
 1980 10 65115·
 1980 11 2495·
 1980 12 7172.
 1981 01  6163.
 1981 02  189·
 1981 03  3481·
 1981 04  3571.
 1981 05  3989.
 1981 06  96111.
 1981 07  42164.
 1981 08  475.
 1981 09  2864·
 1981 10  2594·
 1981 11  5482.
 1981 12  1872·
 1982 01 9690.
 1982 02 89103.
 1982 03 186·
 1982 04 3868.
 1982 05 3782.
 1982 06 13111.
 1982 07 40236·
 1982 08 5391·
 1982 09 7088·
 1982 10 4789.
 1982 11 5475·
 1982 12 7680.
 1983 01  4089.
 1983 02  6799.
 1983 03  4870.
 1983 04  4476.
 1983 05  1657·
 1983 06  7496.
 1983 07  54224·
 1983 08  20103.
 1983 09  9180·
 1983 10  92114.
 1983 11  2981·
 1983 12  9372.
 1984 01 8689.
 1984 02 7276.
 1984 03 5462·
 1984 04 7459.
 1984 05 4454.
 1984 06 9075.
 1984 07 36197.
 1984 08 377.
 1984 09 3470·
 1984 10 45113.
 1984 11 767·
 1984 12 4274.
 1985 01  5065.
 1985 02  6473·
 1985 03  2444·
 1985 04  7882·
 1985 05  1282.
 1985 06  9685.
 1985 07  67174.
 1985 08  2581·
 1985 09  6346·
 1985 10  17100·
 1985 11  4453·
 1985 12  2161·
 1986 01 7374·
 1986 02 2876.
 1986 03 8681.
 1986 04 2860·
 1986 05 3763·
 1986 06 5390·
 1986 07 50154·
 1986 08 3459.
 1986 09 7263.
 1986 10 4476.
 1986 11 1859·
 1986 12 5355·
 1987 01  2443.
 1987 02  7585.
 1987 03  9683·
 1987 04  2157.
 1987 05  6158.
 1987 06  4768.
 1987 07  16142.
 1987 08  368.
 1987 09  7743·
 1987 10  8695.
 1987 11  3467·
 1987 12  8681·
 1988 01 9358·
 1988 02 4152·
 1988 03 3239·
 1988 04 8252.
 1988 05 5158.
 1988 06 8859.
 1988 07 17139.
 1988 08 3146·
 1988 09 2140.
 1988 10 2880·
 1988 11 2055.
 1988 12 9340.
 1989 01  9765·
 1989 02  8687.
 1989 03  9927·
 1989 04  5932.
 1989 05  9836.
 1989 06  1268.
 1989 07  34131·
 1989 08  3980·
 1989 09  6852·
 1989 10  8168.
 1989 11  3275·
 1989 12  7348.
 1990 01 7885.
 1990 02 9560.
 1990 03 2659·
 1990 04 2350.
 1990 05 1952.
 1990 06 7849.
 1990 07 71126.
 1990 08 7743.
 1990 09 1336.
 1990 10 81104.
 1990 11 4943·
 1990 12 4870·
 1991 01  264.
 1991 02  80103·
 1991 03  6763.
 1991 04  7446·
 1991 05  5767.
 1991 06  7490.
 1991 07  57152.
 1991 08  1756·
 1991 09  7163.
 1991 10  8978.
 1991 11  7479·
 1991 12  6658·
 1992 01 6368.
 1992 02 7591.
 1992 03 265·
 1992 04 3437.
 1992 05 7863.
 1992 06 877.
 1992 07 46147.
 1992 08 5863.
 1992 09 8452.
 1992 10 8979·
 1992 11 3860·
 1992 12 161.
 1993 01  7673.
 1993 02  4176.
 1993 03  3557·
 1993 04  5159·
 1993 05  7366·
 1993 06  1786·
 1993 07  18135.
 1993 08  2286·
 1993 09  1946.
 1993 10  92107.
 1993 11  9455.
 1993 12  5070·
 1994 01 8338·
 1994 02 6562.
 1994 03 9542·
 1994 04 9935.
 1994 05 5974.
 1994 06 6277·
 1994 07 7773.
 1994 08 5782.
 1994 09 6717.
 1994 10 3462.
 1994 11 2255·
 1994 12 3779·
 1995 01  5153.
 1995 02  5656.
 1995 03  3647.
 1995 04  7618.
 1995 05  7978·
 1995 06  2867.
 1995 07  52124.
 1995 08  3771.
 1995 09  4745.
 1995 10  7565·
 1995 11  2666.
 1995 12  963.
 1996 01 7243·
 1996 02 4989.
 1996 03 3937·
 1996 04 444.
 1996 05 9960.
 1996 06 2580.
 1996 07 98103.
 1996 08 6051.
 1996 09 9821·
 1996 10 287·
 1996 11 3570·
 1996 12 4063·
 1997 01  6334.
 1997 02  666·
 1997 03  651.
 1997 04  3137·
 1997 05  1139·
 1997 06  8983·
 1997 07  94115.
 1997 08  4888·
 1997 09  8917.
 1997 10  2452·
 1997 11  441.
 1997 12  2746.
 1998 01 6520.
 1998 02 13104.
 1998 03 6860.
 1998 04 3234.
 1998 05 3240·
 1998 06 8069.
 1998 07 44109·
 1998 08 5044.
 1998 09 1131·
 1998 10 7772·
 1998 11 12104.
 1998 12 9430·
 1999 01  4537·
 1999 02  7858·
 1999 03  7938.
 1999 04  245·
 1999 05  362.
 1999 06  8549·
 1999 07  77130.
 1999 08  3840.
 1999 09  8034.
 1999 10  2172·
 1999 11  6364·
 1999 12  8971.
 2000 01 9533·
 2000 02 3976.
 2000 03 1841·
 2000 04 6731.
 2000 05 9137·
 2000 06 1365.
 2000 07 4898·
 2000 08 1162·
 2000 09 3919·
 2000 10 4339·
 2000 11 8629.
 2000 12 8465.
 2001 01  3244.
 2001 02  5566.
 2001 03  8851·
 2001 04  7441·
 2001 05  8923·
 2001 06  049·
 2001 07  3698.
 2001 08  9258.
 2001 09  5455.
 2001 10  5362·
 2001 11  3738·


 2001 12  7849·
 2002 01 9725.
 2002 02 1369.
 2002 03 2136·
 2002 04 9553.
 2002 05 1236·
 2002 06 782·
 2002 07 46127.
 2002 08 2960.
 2002 09 1839.
 2002 10 8534.
 2002 11 9340.
 2002 12 9545·
 2003 01  5813.
 2003 02  2268·

Similar Series

Skip to Data / More Chart Options

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: Number Unemployed for 5-6 weeks 16-19 yrs. Male: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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