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 Series Title: Number Unemployed for 7-10 weeks 16-19 yrs. Female: 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 85107.
 1976 07 69140·
 1976 08 54212·
 1976 09 571.
 1976 10 11107.
 1976 11 63142·
 1976 12 5595·
 1977 01  11107·
 1977 02  34109·
 1977 03  87104·
 1977 04  8972·
 1977 05  4893·
 1977 06  687·
 1977 07  22150.
 1977 08  68203.
 1977 09  5887.
 1977 10  191·
 1977 11  75109.
 1977 12  2961.
 1978 01 1275·
 1978 02 2083·
 1978 03 7893·
 1978 04 3777.
 1978 05 385.
 1978 06 88115.
 1978 07 87147·
 1978 08 78208·
 1978 09 5072.
 1978 10 55105·
 1978 11 84117.
 1978 12 6585.
 1979 01  9882·
 1979 02  98119·
 1979 03  7584·
 1979 04  3861·
 1979 05  1679.
 1979 06  1695.
 1979 07  93139·
 1979 08  57177·
 1979 09  9884.
 1979 10  3499.
 1979 11  93108·
 1979 12  1287.
 1980 01 6293·
 1980 02 4109·
 1980 03 58127.
 1980 04 1563.
 1980 05 5478.
 1980 06 086·
 1980 07 95170.
 1980 08 4204.
 1980 09 4395·
 1980 10 23128·
 1980 11 33122.
 1980 12 4290.
 1981 01  2176.
 1981 02  98111.
 1981 03  32101·
 1981 04  1782.
 1981 05  10114·
 1981 06  7687.
 1981 07  71161·
 1981 08  42164·
 1981 09  5299·
 1981 10  32117.
 1981 11  58111.
 1981 12  5495·
 1982 01 17109·
 1982 02 66146.
 1982 03 2596.
 1982 04 1780.
 1982 05 9999·
 1982 06 4108·
 1982 07 27193.
 1982 08 19228·
 1982 09 17118·
 1982 10 97142.
 1982 11 47151.
 1982 12 7186.
 1983 01  15102.
 1983 02  1999·
 1983 03  91110·
 1983 04  1397·
 1983 05  63100·
 1983 06  71122·
 1983 07  91238.
 1983 08  7234·
 1983 09  5581.
 1983 10  78111·
 1983 11  4126·
 1983 12  4072.
 1984 01 951·
 1984 02 9274·
 1984 03 11102·
 1984 04 2775.
 1984 05 7097·
 1984 06 8674.
 1984 07 18151.
 1984 08 4151.
 1984 09 778·
 1984 10 6284.
 1984 11 5880.
 1984 12 3581·
 1985 01  1488·
 1985 02  4565.
 1985 03  8787·
 1985 04  864.
 1985 05  1165·
 1985 06  8665.
 1985 07  87140.
 1985 08  35143·
 1985 09  4180·
 1985 10  5992·
 1985 11  6484.
 1985 12  5465·
 1986 01 7379.
 1986 02 65103.
 1986 03 5199.
 1986 04 2996.
 1986 05 268·
 1986 06 3080·
 1986 07 395.
 1986 08 4794.
 1986 09 4762·
 1986 10 3116·
 1986 11 2102·
 1986 12 2078·
 1987 01  5274·
 1987 02  61105·
 1987 03  5589·
 1987 04  8887·
 1987 05  8741·
 1987 06  477.
 1987 07  94116.
 1987 08  12107.
 1987 09  4453·
 1987 10  5761·
 1987 11  7565.
 1987 12  8147·
 1988 01 4444·
 1988 02 7055·
 1988 03 8067·
 1988 04 758·
 1988 05 3080.
 1988 06 1952.
 1988 07 15125·
 1988 08 29123.
 1988 09 7255.
 1988 10 554·
 1988 11 1248·
 1988 12 969·
 1989 01  6459.
 1989 02  5231·
 1989 03  2947.
 1989 04  3652·
 1989 05  2564·
 1989 06  1136·
 1989 07  4568·
 1989 08  2189·
 1989 09  9935.
 1989 10  5742·
 1989 11  6955.
 1989 12  456·
 1990 01 5653·
 1990 02 9278·
 1990 03 3178·
 1990 04 4656.
 1990 05 8855·
 1990 06 3957·
 1990 07 8978·
 1990 08 3796·
 1990 09 1753·
 1990 10 5157.
 1990 11 2462.
 1990 12 8877·
 1991 01  8585.
 1991 02  181·
 1991 03  4296.
 1991 04  3780·
 1991 05  6174.
 1991 06  9072·
 1991 07  76112·
 1991 08  48128·
 1991 09  4166·
 1991 10  4591·
 1991 11  8190·
 1991 12  893·
 1992 01 4360·
 1992 02 1492.
 1992 03 4193.
 1992 04 3174.
 1992 05 1173·
 1992 06 7473.
 1992 07 60150.
 1992 08 54141·
 1992 09 1489·
 1992 10 25102.
 1992 11 7187·
 1992 12 3973·
 1993 01  4763.
 1993 02  92102·
 1993 03  3173.
 1993 04  7647·
 1993 05  2991·
 1993 06  2750.
 1993 07  2088·
 1993 08  76119·
 1993 09  335.
 1993 10  374.
 1993 11  4779·
 1993 12  7862·
 1994 01 4051·
 1994 02 2194.
 1994 03 4174.
 1994 04 45109.
 1994 05 3263.
 1994 06 891.
 1994 07 61145.
 1994 08 64122·
 1994 09 067.
 1994 10 1387.
 1994 11 8896·
 1994 12 4969.
 1995 01  8763·
 1995 02  1190·
 1995 03  2885.
 1995 04  3665·
 1995 05  6278·
 1995 06  496·
 1995 07  12215·
 1995 08  90137.
 1995 09  2091.
 1995 10  16104·
 1995 11  9997.
 1995 12  9891.
 1996 01 80108.
 1996 02 9889·
 1996 03 68106·
 1996 04 73120·
 1996 05 8677·
 1996 06 2567·
 1996 07 28133.
 1996 08 53139.
 1996 09 758.
 1996 10 9889.
 1996 11 995·
 1996 12 081·
 1997 01  3780.
 1997 02  42130.
 1997 03  6884·
 1997 04  367·
 1997 05  9683·
 1997 06  788.
 1997 07  87161.
 1997 08  75113·
 1997 09  2789·
 1997 10  7094.
 1997 11  72107·
 1997 12  5261.
 1998 01 069·
 1998 02 2967·
 1998 03 5668.
 1998 04 068·
 1998 05 858·
 1998 06 1195·
 1998 07 94125.
 1998 08 494·
 1998 09 71101·
 1998 10 6673.
 1998 11 6983·
 1998 12 7877·
 1999 01  3482·
 1999 02  6988·
 1999 03  8698.
 1999 04  6077.
 1999 05  6481.
 1999 06  2177·
 1999 07  7879·
 1999 08  13127.
 1999 09  5788·
 1999 10  4791·
 1999 11  280·
 1999 12  2547.
 2000 01 3263.
 2000 02 9887.
 2000 03 3895·
 2000 04 957·
 2000 05 3265.
 2000 06 4867·
 2000 07 94104.
 2000 08 2112·
 2000 09 2755·
 2000 10 9982·
 2000 11 178.
 2000 12 6756.
 2001 01  1058·
 2001 02  7655·
 2001 03  1673.
 2001 04  9378.
 2001 05  283.
 2001 06  2957.
 2001 07  21110·
 2001 08  91105·
 2001 09  4666·
 2001 10  33109.
 2001 11  2185.


 2001 12  162.
 2002 01 1189·
 2002 02 8994·
 2002 03 5096.
 2002 04 8574·
 2002 05 9273.
 2002 06 23101.
 2002 07 62151.
 2002 08 31128.
 2002 09 786.
 2002 10 8496.
 2002 11 41100·
 2002 12 5185.
 2003 01  174·
 2003 02  4878.

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
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

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