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 Series Title: Number Unemployed for 7-10 weeks 16-19 yrs.: NSA (Thousands)
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 2003 02  87185·
 2003 01  29168·
 2002 12 27189.
 2002 11 88211·
 2002 10 46192·
 2002 09 36231·
 2002 08 96290·
 2002 07 92301·
 2002 06 72201.
 2002 05 42172.
 2002 04 66188.
 2002 03 95204·
 2002 02 15171.
 2002 01 28187·
 2001 12  50133.
 2001 11  40253·
 2001 10  50221·
 2001 09  0148·
 2001 08  86235.
 2001 07  98241.
 2001 06  77144·
 2001 05  91174·
 2001 04  36165.
 2001 03  61183.
 2001 02  22154·
 2001 01  57182·
 2000 12 89128·
 2000 11 50185·
 2000 10 36177.
 2000 09 80144.
 2000 08 57234.
 2000 07 8237.
 2000 06 93159.
 2000 05 66145·
 2000 04 78144.
 2000 03 5212.
 2000 02 94176·
 2000 01 47174·
 1999 12  16133·
 1999 11  34177.
 1999 10  65204·
 1999 09  79164·
 1999 08  57262.
 1999 07  15163·
 1999 06  55131·
 1999 05  45172·
 1999 04  16162·
 1999 03  92206.
 1999 02  41196·
 1999 01  50207.
 1998 12 29197.
 1998 11 34203.
 1998 10 23173.
 1998 09 28202·
 1998 08 60225.
 1998 07 35294·
 1998 06 25220·
 1998 05 33144·
 1998 04 97166·
 1998 03 15195.
 1998 02 99161·
 1998 01 48196.
 1997 12  52128·
 1997 11  17208.
 1997 10  20177·
 1997 09  79189.
 1997 08  63267·
 1997 07  11346·
 1997 06  88193.
 1997 05  59202·
 1997 04  94139·
 1997 03  90233.
 1997 02  28254.
 1997 01  43198.
 1996 12 32211.
 1996 11 75221.
 1996 10 91213·
 1996 09 14177.
 1996 08 90295.
 1996 07 8334.
 1996 06 53154.
 1996 05 77180·
 1996 04 5229.
 1996 03 60237·
 1996 02 14203·
 1996 01 66238.
 1995 12  42196.
 1995 11  24199.
 1995 10  99266.
 1995 09  35197·
 1995 08  88284·
 1995 07  20461.
 1995 06  58208.
 1995 05  68179.
 1995 04  55199·
 1995 03  91181.
 1995 02  67213·
 1995 01  70161·
 1994 12 81181.
 1994 11 7191.
 1994 10 27203·
 1994 09 73148.
 1994 08 30310·
 1994 07 61356.
 1994 06 62194·
 1994 05 34186·
 1994 04 89227.
 1994 03 74177·
 1994 02 23239.
 1994 01 35156·
 1993 12  72151.
 1993 11  89237·
 1993 10  86169.
 1993 09  81125·
 1993 08  15257·
 1993 07  75245·
 1993 06  51150·
 1993 05  6197.
 1993 04  82146.
 1993 03  27176.
 1993 02  43238.
 1993 01  65144.
 1992 12 62193.
 1992 11 64220·
 1992 10 13179.
 1992 09 40166·
 1992 08 66290.
 1992 07 29311.
 1992 06 35160.
 1992 05 37188.
 1992 04 32170.
 1992 03 92245·
 1992 02 12230.
 1992 01 89163·
 1991 12  24206.
 1991 11  47202·
 1991 10  67211.
 1991 09  52161.
 1991 08  30257·
 1991 07  13246.
 1991 06  51163.
 1991 05  8167.
 1991 04  62170·
 1991 03  34203.
 1991 02  40180·
 1991 01  62192·
 1990 12 58179.
 1990 11 80139·
 1990 10 34147·
 1990 09 48108.
 1990 08 81220.
 1990 07 45178·
 1990 06 58110.
 1990 05 21139·
 1990 04 19121·
 1990 03 47136.
 1990 02 63182.
 1990 01 63155.
 1989 12  85152·
 1989 11  31136.
 1989 10  24140.
 1989 09  8284·
 1989 08  17221·
 1989 07  66183.
 1989 06  4295.
 1989 05  7138·
 1989 04  77102·
 1989 03  47123.
 1989 02  42105.
 1989 01  97132·
 1988 12 54125.
 1988 11 91118.
 1988 10 74136.
 1988 09 32123.
 1988 08 60253.
 1988 07 44240·
 1988 06 14117·
 1988 05 20168.
 1988 04 34156.
 1988 03 75207.
 1988 02 62190·
 1988 01 92150·
 1987 12  38132.
 1987 11  77153.
 1987 10  44156.
 1987 09  4102.
 1987 08  59263·
 1987 07  70243·
 1987 06  9139.
 1987 05  39113·
 1987 04  12200.
 1987 03  98185·
 1987 02  34238.
 1987 01  3163·
 1986 12 34194·
 1986 11 30206·
 1986 10 18237.
 1986 09 27148.
 1986 08 88225.
 1986 07 61207.
 1986 06 88157.
 1986 05 69157·
 1986 04 61192.
 1986 03 9206·
 1986 02 93198·
 1986 01 9178.
 1985 12  67174.
 1985 11  18206·
 1985 10  9211.
 1985 09  55163.
 1985 08  43319.
 1985 07  58326.
 1985 06  36136.
 1985 05  38145·
 1985 04  52141·
 1985 03  23213.
 1985 02  0187·
 1985 01  15192·
 1984 12 83207.
 1984 11 32172·
 1984 10 51177·
 1984 09 67156·
 1984 08 48284·
 1984 07 29304·
 1984 06 64151.
 1984 05 1217.
 1984 04 85151·
 1984 03 84234·
 1984 02 40198·
 1984 01 49145.
 1983 12  57183.
 1983 11  90268·
 1983 10  5219.
 1983 09  67184·
 1983 08  51461.
 1983 07  66435·
 1983 06  8250·
 1983 05  38219·
 1983 04  81211·
 1983 03  57253·
 1983 02  25243·
 1983 01  67240·
 1982 12 85215·
 1982 11 32336.
 1982 10 56276·
 1982 09 86249·
 1982 08 26509·
 1982 07 84425.
 1982 06 27259·
 1982 05 52241.
 1982 04 90209·
 1982 03 34228.
 1982 02 89315.
 1982 01 47270·
 1981 12  92228.
 1981 11  25279·
 1981 10  15232.
 1981 09  76167.
 1981 08  69376·
 1981 07  27319.
 1981 06  8174·
 1981 05  73239.
 1981 04  84204·
 1981 03  33245.
 1981 02  92263.
 1981 01  93233·
 1980 12 25211·
 1980 11 62287.
 1980 10 18263·
 1980 09 18202·
 1980 08 4415·
 1980 07 60344.
 1980 06 61192·
 1980 05 55203·
 1980 04 61144.
 1980 03 94275.
 1980 02 22258.
 1980 01 36210.
 1979 12  57196.
 1979 11  60225·
 1979 10  25195.
 1979 09  16171.
 1979 08  80329·
 1979 07  75291·
 1979 06  22177·
 1979 05  78150·
 1979 04  44161·
 1979 03  85189·
 1979 02  87276·
 1979 01  29212.
 1978 12 86211.
 1978 11 59249.
 1978 10 22198.
 1978 09 99145·
 1978 08 69374·
 1978 07 90285·
 1978 06 50195·
 1978 05 46182·
 1978 04 82163.
 1978 03 98221.
 1978 02 24229·
 1978 01 51187.
 1977 12  36171.
 1977 11  27257·
 1977 10  18185.
 1977 09  21158·
 1977 08  70403.
 1977 07  46319.
 1977 06  33215.
 1977 05  88192.
 1977 04  46145.
 1977 03  50267·
 1977 02  94257·
 1977 01  7216·
 1976 12 54189·
 1976 11 56295.
 1976 10 51224.
 1976 09 62170.
 1976 08 4412.
 1976 07 10316.
 1976 06 80228·
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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

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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.: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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