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 Series Title: Number Unemployed for 7-10 weeks 16-19 yrs. Female: NSA (Thousands)
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 1976 06 7107.
 1976 07 57140.
 1976 08 54212.
 1976 09 4971·
 1976 10 22107.
 1976 11 49142.
 1976 12 1395.
 1977 01  23107·
 1977 02  72109·
 1977 03  9104.
 1977 04  4172·
 1977 05  6493.
 1977 06  787.
 1977 07  17150·
 1977 08  52203.
 1977 09  1687·
 1977 10  491.
 1977 11  81109·
 1977 12  8461·
 1978 01 4975.
 1978 02 6183·
 1978 03 3293.
 1978 04 9977·
 1978 05 5785·
 1978 06 6115·
 1978 07 26147.
 1978 08 85208.
 1978 09 5972.
 1978 10 87105·
 1978 11 47117.
 1978 12 5685.
 1979 01  9982·
 1979 02  81119·
 1979 03  9984·
 1979 04  4861.
 1979 05  4779·
 1979 06  8895.
 1979 07  15139·
 1979 08  25177·
 1979 09  9584.
 1979 10  3299·
 1979 11  51108·
 1979 12  7587·
 1980 01 6593.
 1980 02 66109.
 1980 03 89127·
 1980 04 1163·
 1980 05 9978·
 1980 06 6386·
 1980 07 36170·
 1980 08 70204.
 1980 09 6695.
 1980 10 25128.
 1980 11 23122.
 1980 12 1690·
 1981 01  6276.
 1981 02  77111.
 1981 03  7101·
 1981 04  3682·
 1981 05  5114.
 1981 06  6887.
 1981 07  70161.
 1981 08  43164.
 1981 09  3999.
 1981 10  76117·
 1981 11  18111·
 1981 12  7695·
 1982 01 33109·
 1982 02 99146·
 1982 03 8296·
 1982 04 9680.
 1982 05 8299·
 1982 06 64108.
 1982 07 21193·
 1982 08 93228·
 1982 09 5118.
 1982 10 20142·
 1982 11 14151.
 1982 12 7886.
 1983 01  45102·
 1983 02  4399·
 1983 03  69110·
 1983 04  9097·
 1983 05  73100·
 1983 06  34122.
 1983 07  17238·
 1983 08  91234·
 1983 09  8181·
 1983 10  18111·
 1983 11  15126.
 1983 12  7072.
 1984 01 9051.
 1984 02 4574·
 1984 03 45102·
 1984 04 3975·
 1984 05 4397.
 1984 06 9174.
 1984 07 14151.
 1984 08 37151.
 1984 09 978·
 1984 10 5684·
 1984 11 5280.
 1984 12 2581·
 1985 01  8488·
 1985 02  6665.
 1985 03  1787·
 1985 04  9364.
 1985 05  8565.
 1985 06  7065.
 1985 07  90140.
 1985 08  53143·
 1985 09  5780.
 1985 10  4492·
 1985 11  7884·
 1985 12  4265·
 1986 01 6979·
 1986 02 89103.
 1986 03 1399.
 1986 04 2496·
 1986 05 1568·
 1986 06 3180.
 1986 07 5095·
 1986 08 8794.
 1986 09 1462.
 1986 10 18116.
 1986 11 73102.
 1986 12 4378.
 1987 01  1174·
 1987 02  27105·
 1987 03  8789.
 1987 04  3187.
 1987 05  7541·
 1987 06  5977.
 1987 07  24116·
 1987 08  13107.
 1987 09  053.
 1987 10  3861·
 1987 11  4065·
 1987 12  7747.
 1988 01 444.
 1988 02 1555.
 1988 03 1867.
 1988 04 3658.
 1988 05 3280·
 1988 06 6652·
 1988 07 64125·
 1988 08 28123.
 1988 09 5455.
 1988 10 9054·
 1988 11 1048.
 1988 12 1669·
 1989 01  6359·
 1989 02  1331.
 1989 03  1247·
 1989 04  8752.
 1989 05  7864·
 1989 06  8636.
 1989 07  5268·
 1989 08  5589.
 1989 09  4435·
 1989 10  8442·
 1989 11  3655·
 1989 12  5856.
 1990 01 3053·
 1990 02 878·
 1990 03 9778·
 1990 04 5856·
 1990 05 3055·
 1990 06 8157·
 1990 07 9178·
 1990 08 4496.
 1990 09 6353·
 1990 10 5757·
 1990 11 9962.
 1990 12 2777·
 1991 01  7285.
 1991 02  881·
 1991 03  2896.
 1991 04  4780·
 1991 05  2974.
 1991 06  3672·
 1991 07  10112·
 1991 08  65128·
 1991 09  2566.
 1991 10  6791.
 1991 11  190.
 1991 12  7193·
 1992 01 8260.
 1992 02 5192·
 1992 03 8393·
 1992 04 7674·
 1992 05 4273·
 1992 06 6273.
 1992 07 63150.
 1992 08 19141·
 1992 09 7589·
 1992 10 2102·
 1992 11 7387·
 1992 12 6273.
 1993 01  7563·
 1993 02  96102.
 1993 03  6873·
 1993 04  9447·
 1993 05  6191.
 1993 06  9350·
 1993 07  3188.
 1993 08  27119·
 1993 09  7735.
 1993 10  7174.
 1993 11  6879·
 1993 12  9962.
 1994 01 9351·
 1994 02 2994·
 1994 03 1174·
 1994 04 73109.
 1994 05 263.
 1994 06 9291.
 1994 07 17145.
 1994 08 37122.
 1994 09 2467·
 1994 10 1087·
 1994 11 6696·
 1994 12 569.
 1995 01  463.
 1995 02  6090.
 1995 03  6785.
 1995 04  1265.
 1995 05  978·
 1995 06  4296.
 1995 07  50215·
 1995 08  24137.
 1995 09  3491·
 1995 10  80104.
 1995 11  7297·
 1995 12  2791.
 1996 01 98108·
 1996 02 2689·
 1996 03 15106·
 1996 04 35120.
 1996 05 4677·
 1996 06 5567·
 1996 07 85133·
 1996 08 84139.
 1996 09 4758.
 1996 10 6689.
 1996 11 1495·
 1996 12 3981.
 1997 01  9480.
 1997 02  87130.
 1997 03  5984.
 1997 04  8767.
 1997 05  783·
 1997 06  6688·
 1997 07  2161·
 1997 08  41113·
 1997 09  3089.
 1997 10  7994·
 1997 11  48107·
 1997 12  3961·
 1998 01 3269·
 1998 02 2767.
 1998 03 2968·
 1998 04 4468·
 1998 05 758.
 1998 06 3695·
 1998 07 3125.
 1998 08 4494.
 1998 09 75101·
 1998 10 5473.
 1998 11 5183.
 1998 12 5077.
 1999 01  8082·
 1999 02  5988.
 1999 03  7998.
 1999 04  377.
 1999 05  9081.
 1999 06  5077.
 1999 07  2079.
 1999 08  64127.
 1999 09  088·
 1999 10  5291.
 1999 11  2980.
 1999 12  2047·
 2000 01 2863.
 2000 02 1787.
 2000 03 8995.
 2000 04 8757.
 2000 05 2165·
 2000 06 1967.
 2000 07 5104·
 2000 08 0112·
 2000 09 4555.
 2000 10 5982·
 2000 11 1178·
 2000 12 2356·
 2001 01  9558.
 2001 02  6255·
 2001 03  6173·
 2001 04  4378.
 2001 05  9283.
 2001 06  7857.
 2001 07  39110·
 2001 08  75105·
 2001 09  7866·
 2001 10  84109·
 2001 11  5185.


 2001 12  5562.
 2002 01 2289·
 2002 02 7994·
 2002 03 2796·
 2002 04 4674.
 2002 05 2073.
 2002 06 89101·
 2002 07 26151·
 2002 08 37128.
 2002 09 9086.
 2002 10 6496·
 2002 11 28100·
 2002 12 4085·
 2003 01  7674.
 2003 02  7978·

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 7-10 weeks 16-19 yrs. Female: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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