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 Series Title: Number Unemployed for 11-14 yrs. 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 5158·
 1976 07 9933·
 1976 08 3184.
 1976 09 3276·
 1976 10 1033·
 1976 11 7465.
 1976 12 3891·
 1977 01  4272·
 1977 02  1140.
 1977 03  2364.
 1977 04  2049.
 1977 05  2644·
 1977 06  339.
 1977 07  2759.
 1977 08  9166·
 1977 09  2795.
 1977 10  6257.
 1977 11  9362·
 1977 12  8947.
 1978 01 1531.
 1978 02 8958·
 1978 03 5354.
 1978 04 7638.
 1978 05 8549.
 1978 06 958.
 1978 07 6240.
 1978 08 4188·
 1978 09 5476.
 1978 10 7243·
 1978 11 366·
 1978 12 9671·
 1979 01  6855·
 1979 02  5431·
 1979 03  8265·
 1979 04  8033.
 1979 05  9646.
 1979 06  5549·
 1979 07  3125.
 1979 08  5452.
 1979 09  3162.
 1979 10  048·
 1979 11  749·
 1979 12  852·
 1980 01 9330·
 1980 02 4045.
 1980 03 9161.
 1980 04 5454·
 1980 05 2643.
 1980 06 5134.
 1980 07 9054.
 1980 08 2982·
 1980 09 9987·
 1980 10 3249·
 1980 11 3654·
 1980 12 9751·
 1981 01  635.
 1981 02  951.
 1981 03  8457·
 1981 04  4642.
 1981 05  6629·
 1981 06  3238·
 1981 07  1840·
 1981 08  8887·
 1981 09  2488.
 1981 10  7854.
 1981 11  4377.
 1981 12  6156.
 1982 01 4935·
 1982 02 4559·
 1982 03 9076·
 1982 04 2972·
 1982 05 3442.
 1982 06 6051·
 1982 07 1859.
 1982 08 79134·
 1982 09 0135·
 1982 10 7363·
 1982 11 782·
 1982 12 24102.
 1983 01  8955.
 1983 02  6049·
 1983 03  6462·
 1983 04  267.
 1983 05  7247.
 1983 06  2042.
 1983 07  2138.
 1983 08  7684·
 1983 09  4190·
 1983 10  7951.
 1983 11  3461.
 1983 12  3359·
 1984 01 1849.
 1984 02 8856.
 1984 03 8542·
 1984 04 8836·
 1984 05 4533.
 1984 06 2234·
 1984 07 8032·
 1984 08 7684·
 1984 09 9266·
 1984 10 8132.
 1984 11 5241.
 1984 12 6231.
 1985 01  5235.
 1985 02  9132·
 1985 03  5642·
 1985 04  3448·
 1985 05  4636.
 1985 06  228·
 1985 07  7528.
 1985 08  361.
 1985 09  1758·
 1985 10  8945.
 1985 11  1542.
 1985 12  948.
 1986 01 3425·
 1986 02 5429·
 1986 03 858.
 1986 04 1341.
 1986 05 9137·
 1986 06 2032·
 1986 07 1043·
 1986 08 486·
 1986 09 966·
 1986 10 4032·
 1986 11 350·
 1986 12 9642·
 1987 01  3033·
 1987 02  8728·
 1987 03  9443·
 1987 04  2424·
 1987 05  2323.
 1987 06  6324.
 1987 07  1435.
 1987 08  5443.
 1987 09  8452.
 1987 10  9260·
 1987 11  2149·
 1987 12  7137·
 1988 01 3155·
 1988 02 2633·
 1988 03 9520·
 1988 04 9024·
 1988 05 914.
 1988 06 4015.
 1988 07 4317.
 1988 08 4850.
 1988 09 8635·
 1988 10 3323·
 1988 11 9731·
 1988 12 827.
 1989 01  5637·
 1989 02  3226·
 1989 03  1346.
 1989 04  5940.
 1989 05  3934.
 1989 06  8713·
 1989 07  7430.
 1989 08  1243.
 1989 09  7935.
 1989 10  7334·
 1989 11  8540.
 1989 12  637.
 1990 01 4528·
 1990 02 9017.
 1990 03 7931.
 1990 04 328·
 1990 05 3130·
 1990 06 6524·
 1990 07 1216·
 1990 08 9272·
 1990 09 5659·
 1990 10 4636.
 1990 11 6646.
 1990 12 8525·
 1991 01  6531.
 1991 02  1145·
 1991 03  4749·
 1991 04  2147.
 1991 05  2738.
 1991 06  5936.
 1991 07  8839.
 1991 08  6265·
 1991 09  3557.
 1991 10  1551.
 1991 11  4346·
 1991 12  9653·
 1992 01 927·
 1992 02 3038.
 1992 03 9739·
 1992 04 3638.
 1992 05 9326·
 1992 06 7933.
 1992 07 5435.
 1992 08 2075·
 1992 09 5661.
 1992 10 6342·
 1992 11 4658.
 1992 12 1139·
 1993 01  9226·
 1993 02  839.
 1993 03  3137.
 1993 04  9653.
 1993 05  2121·
 1993 06  6250.
 1993 07  9045.
 1993 08  8951.
 1993 09  8655.
 1993 10  337·
 1993 11  2933·
 1993 12  2731·
 1994 01 5763.
 1994 02 3055.
 1994 03 8046.
 1994 04 7471·
 1994 05 2834.
 1994 06 6832·
 1994 07 157.
 1994 08 1775·
 1994 09 1862.
 1994 10 6966.
 1994 11 7142·
 1994 12 6941.
 1995 01  7140·
 1995 02  726·
 1995 03  9940.
 1995 04  6863·
 1995 05  5642·
 1995 06  8239.
 1995 07  1566·
 1995 08  7685.
 1995 09  6859·
 1995 10  2146·
 1995 11  7785·
 1995 12  8351.
 1996 01 2568·
 1996 02 7446.
 1996 03 6538.
 1996 04 065·
 1996 05 7251.
 1996 06 1537.
 1996 07 8846·
 1996 08 6671·
 1996 09 7772·
 1996 10 4641·
 1996 11 7561·
 1996 12 4455.
 1997 01  3653.
 1997 02  9283·
 1997 03  8558.
 1997 04  2040.
 1997 05  6729·
 1997 06  330.
 1997 07  9842.
 1997 08  966.
 1997 09  1483·
 1997 10  5443·
 1997 11  2161.
 1997 12  4846.
 1998 01 4645.
 1998 02 4731.
 1998 03 8634.
 1998 04 136·
 1998 05 5828.
 1998 06 647.
 1998 07 4954·
 1998 08 5448.
 1998 09 6857.
 1998 10 8136·
 1998 11 9360.
 1998 12 2033.
 1999 01  2254·
 1999 02  4954·
 1999 03  2340·
 1999 04  3936·
 1999 05  8738·
 1999 06  930·
 1999 07  7225.
 1999 08  7232.
 1999 09  5881.
 1999 10  8739.
 1999 11  9652.
 1999 12  730.
 2000 01 5528·
 2000 02 3332·
 2000 03 7648.
 2000 04 5832·
 2000 05 2138.
 2000 06 2336·
 2000 07 2037.
 2000 08 6332.
 2000 09 2558.
 2000 10 5730·
 2000 11 5946·
 2000 12 8332.
 2001 01  6228·
 2001 02  6114·
 2001 03  4934·
 2001 04  732·
 2001 05  5135.
 2001 06  8428·
 2001 07  7247·
 2001 08  4829·
 2001 09  3657.
 2001 10  352·
 2001 11  3656·


 2001 12  4543·
 2002 01 8653·
 2002 02 1735.
 2002 03 7141.
 2002 04 5851·
 2002 05 9543·
 2002 06 5236.
 2002 07 3455.
 2002 08 7856.
 2002 09 8259.
 2002 10 5936·
 2002 11 775·
 2002 12 1647·
 2003 01  9245·
 2003 02  1242.

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 11-14 yrs. 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

Sites of Interest: Conerly Consulting: Economics for Business Decisions *

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