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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  |  Excel file  |  Self-updating Excel file
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 2003 02  5078.
 2003 01  5174·
 2002 12 9385.
 2002 11 27100·
 2002 10 3296.
 2002 09 8686·
 2002 08 69128·
 2002 07 93151·
 2002 06 49101·
 2002 05 8773·
 2002 04 1574·
 2002 03 2696·
 2002 02 5294·
 2002 01 3889·
 2001 12  4362.
 2001 11  7185·
 2001 10  16109·
 2001 09  4466·
 2001 08  92105·
 2001 07  96110.
 2001 06  4157.
 2001 05  3783.
 2001 04  2478.
 2001 03  9673.
 2001 02  5255.
 2001 01  7458.
 2000 12 2856·
 2000 11 9078.
 2000 10 182.
 2000 09 3655·
 2000 08 15112·
 2000 07 23104.
 2000 06 6267·
 2000 05 3165.
 2000 04 2557.
 2000 03 6295.
 2000 02 3587.
 2000 01 8963.
 1999 12  1947·
 1999 11  380.
 1999 10  4791·
 1999 09  6788·
 1999 08  86127·
 1999 07  6479·
 1999 06  4877·
 1999 05  4881.
 1999 04  3977.
 1999 03  9198.
 1999 02  1388.
 1999 01  3782.
 1998 12 1677.
 1998 11 5083.
 1998 10 4273·
 1998 09 66101·
 1998 08 7994·
 1998 07 38125.
 1998 06 6095·
 1998 05 9258·
 1998 04 1668.
 1998 03 7368·
 1998 02 1967.
 1998 01 9769·
 1997 12  4061.
 1997 11  0107.
 1997 10  9494·
 1997 09  8789.
 1997 08  90113.
 1997 07  86161.
 1997 06  8488·
 1997 05  9483·
 1997 04  2867·
 1997 03  2784·
 1997 02  16130.
 1997 01  7480·
 1996 12 4181.
 1996 11 4295.
 1996 10 4089·
 1996 09 1058.
 1996 08 44139·
 1996 07 75133.
 1996 06 3067.
 1996 05 777.
 1996 04 73120·
 1996 03 94106.
 1996 02 8889.
 1996 01 97108.
 1995 12  9191.
 1995 11  9597·
 1995 10  39104.
 1995 09  3891·
 1995 08  87137.
 1995 07  96215·
 1995 06  3496.
 1995 05  1078.
 1995 04  7465·
 1995 03  4185.
 1995 02  4790.
 1995 01  2163·
 1994 12 8869·
 1994 11 096·
 1994 10 7987·
 1994 09 167·
 1994 08 94122·
 1994 07 66145·
 1994 06 5691.
 1994 05 863·
 1994 04 79109·
 1994 03 5974.
 1994 02 2794.
 1994 01 2351·
 1993 12  5662.
 1993 11  2479·
 1993 10  6974·
 1993 09  5435·
 1993 08  63119·
 1993 07  2888·
 1993 06  8150·
 1993 05  3091·
 1993 04  6247.
 1993 03  6673·
 1993 02  89102·
 1993 01  1063.
 1992 12 4273.
 1992 11 5887·
 1992 10 44102·
 1992 09 7589.
 1992 08 15141.
 1992 07 47150·
 1992 06 2173.
 1992 05 3173.
 1992 04 2074·
 1992 03 393·
 1992 02 1992·
 1992 01 1060·
 1991 12  1993.
 1991 11  2090·
 1991 10  6691·
 1991 09  6966·
 1991 08  0128·
 1991 07  16112.
 1991 06  1072.
 1991 05  8974·
 1991 04  7780.
 1991 03  3796.
 1991 02  2881·
 1991 01  7785.
 1990 12 8677·
 1990 11 5162·
 1990 10 1957·
 1990 09 6553.
 1990 08 9196·
 1990 07 5278·
 1990 06 1057.
 1990 05 1055.
 1990 04 8056.
 1990 03 5978·
 1990 02 5078·
 1990 01 9253.
 1989 12  6556·
 1989 11  1855.
 1989 10  1542.
 1989 09  1835·
 1989 08  8589·
 1989 07  9668·
 1989 06  536.
 1989 05  2164·
 1989 04  252.
 1989 03  8747.
 1989 02  4731.
 1989 01  5759·
 1988 12 569·
 1988 11 1248.
 1988 10 8954·
 1988 09 755·
 1988 08 5123·
 1988 07 14125.
 1988 06 752·
 1988 05 7880.
 1988 04 4258.
 1988 03 6367·
 1988 02 355·
 1988 01 244·
 1987 12  7847·
 1987 11  5265.
 1987 10  161.
 1987 09  3653.
 1987 08  1107·
 1987 07  0116·
 1987 06  5177.
 1987 05  6041·
 1987 04  2387.
 1987 03  5289.
 1987 02  30105.
 1987 01  8374.
 1986 12 8378·
 1986 11 78102·
 1986 10 37116.
 1986 09 3462.
 1986 08 4394·
 1986 07 7095.
 1986 06 9880·
 1986 05 7268.
 1986 04 9296.
 1986 03 4899.
 1986 02 63103.
 1986 01 7779·
 1985 12  4365·
 1985 11  5784.
 1985 10  892.
 1985 09  5680·
 1985 08  32143·
 1985 07  65140.
 1985 06  3365·
 1985 05  4165.
 1985 04  2364.
 1985 03  6687·
 1985 02  6365.
 1985 01  8988.
 1984 12 581·
 1984 11 8180·
 1984 10 4984·
 1984 09 8178·
 1984 08 89151·
 1984 07 52151.
 1984 06 6674.
 1984 05 2497.
 1984 04 1475.
 1984 03 49102·
 1984 02 1574.
 1984 01 4951·
 1983 12  4372·
 1983 11  66126.
 1983 10  20111.
 1983 09  1381·
 1983 08  63234.
 1983 07  23238.
 1983 06  33122.
 1983 05  98100·
 1983 04  8897·
 1983 03  63110·
 1983 02  2999.
 1983 01  11102·
 1982 12 5586.
 1982 11 56151.
 1982 10 8142.
 1982 09 82118·
 1982 08 27228.
 1982 07 95193·
 1982 06 95108.
 1982 05 6999.
 1982 04 9280·
 1982 03 096·
 1982 02 42146·
 1982 01 54109·
 1981 12  6495·
 1981 11  15111.
 1981 10  22117·
 1981 09  4299·
 1981 08  79164·
 1981 07  10161·
 1981 06  3887.
 1981 05  66114.
 1981 04  182.
 1981 03  77101.
 1981 02  13111.
 1981 01  8276·
 1980 12 1790.
 1980 11 37122.
 1980 10 99128·
 1980 09 7295.
 1980 08 41204.
 1980 07 34170.
 1980 06 7186·
 1980 05 4278.
 1980 04 1163.
 1980 03 36127·
 1980 02 29109·
 1980 01 2593.
 1979 12  8987·
 1979 11  38108.
 1979 10  9999.
 1979 09  7684·
 1979 08  63177.
 1979 07  60139·
 1979 06  3095·
 1979 05  7879·
 1979 04  4661.
 1979 03  4484·
 1979 02  0119.
 1979 01  3782.
 1978 12 7685·
 1978 11 60117·
 1978 10 7105·
 1978 09 8572·
 1978 08 16208.
 1978 07 3147.
 1978 06 77115.
 1978 05 7885·
 1978 04 5477.
 1978 03 9193.
 1978 02 6183.
 1978 01 9875·
 1977 12  361.
 1977 11  70109·
 1977 10  3391·
 1977 09  5187·
 1977 08  0203·
 1977 07  6150·
 1977 06  9687.
 1977 05  7093.
 1977 04  972·
 1977 03  96104·
 1977 02  73109.
 1977 01  11107.
 1976 12 1795.
 1976 11 58142·
 1976 10 15107·
 1976 09 5571.
 1976 08 37212·
 1976 07 36140.
 1976 06 98107·
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: 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.
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      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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