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 Series Title: Number At work part-time, usually PT Noneconomicreasons 30-34 hrs 16-19 yrs Male: NSA (Thousands)
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 2003 02  14149·
 2003 01  44112·
 2002 12 18160.
 2002 11 5178·
 2002 10 3169.
 2002 09 9159·
 2002 08 22271.
 2002 07 73232.
 2002 06 71215.
 2002 05 84176.
 2002 04 40181.
 2002 03 51161·
 2002 02 67168·
 2002 01 52174·
 2001 12  85221·
 2001 11  85156.
 2001 10  69158·
 2001 09  19177·
 2001 08  93281·
 2001 07  44384·
 2001 06  75282·
 2001 05  18174·
 2001 04  29162.
 2001 03  21181·
 2001 02  12165·
 2001 01  3186.
 2000 12 79192.
 2000 11 36178.
 2000 10 30200.
 2000 09 58234.
 2000 08 58299.
 2000 07 32369.
 2000 06 3266.
 2000 05 89224.
 2000 04 2212.
 2000 03 80198.
 2000 02 34165·
 2000 01 27180·
 1999 12  75159.
 1999 11  72176·
 1999 10  46193.
 1999 09  29176.
 1999 08  64343·
 1999 07  30384.
 1999 06  91264.
 1999 05  77198·
 1999 04  83210.
 1999 03  95169·
 1999 02  43157·
 1999 01  77178·
 1998 12 69186·
 1998 11 38211·
 1998 10 4163.
 1998 09 62157.
 1998 08 85298.
 1998 07 53313.
 1998 06 98317·
 1998 05 87145·
 1998 04 20209.
 1998 03 58167·
 1998 02 76106.
 1998 01 34143·
 1997 12  85164·
 1997 11  99146·
 1997 10  13157·
 1997 09  10165.
 1997 08  20208·
 1997 07  44252·
 1997 06  10239·
 1997 05  47180.
 1997 04  86173·
 1997 03  87146·
 1997 02  92136.
 1997 01  1137·
 1996 12 71137·
 1996 11 47146·
 1996 10 10166·
 1996 09 54199·
 1996 08 90279.
 1996 07 69317·
 1996 06 38215·
 1996 05 12138·
 1996 04 78158·
 1996 03 22172·
 1996 02 78144.
 1996 01 8158·
 1995 12  0143·
 1995 11  99124.
 1995 10  54149.
 1995 09  97154.
 1995 08  44245.
 1995 07  21326·
 1995 06  18272·
 1995 05  62208·
 1995 04  21128.
 1995 03  30134.
 1995 02  43127.
 1995 01  8133·
 1994 12 70140·
 1994 11 97163·
 1994 10 32157.
 1994 09 69143·
 1994 08 55268·
 1994 07 15291.
 1994 06 9250.
 1994 05 0121·
 1994 04 62126·
 1994 03 4166·
 1994 02 24134.
 1994 01 82170.
 1993 12  4166·
 1993 11  8118·
 1993 10  5497.
 1993 09  24133·
 1993 08  21229.
 1993 07  95241·
 1993 06  98179·
 1993 05  56109.
 1993 04  73119.
 1993 03  60103·
 1993 02  81126.
 1993 01  34116·
 1992 12 50200·
 1992 11 23136.
 1992 10 55154·
 1992 09 41112·
 1992 08 65204·
 1992 07 26206.
 1992 06 94158·
 1992 05 84133·
 1992 04 54120·
 1992 03 40136.
 1992 02 0118.
 1992 01 93106.
 1991 12  8287·
 1991 11  59137·
 1991 10  96143.
 1991 09  25140·
 1991 08  35232.
 1991 07  1219·
 1991 06  35140·
 1991 05  63145.
 1991 04  27130·
 1991 03  11139.
 1991 02  90125.
 1991 01  13143·
 1990 12 96148·
 1990 11 58155·
 1990 10 63127·
 1990 09 5142·
 1990 08 5266·
 1990 07 36237·
 1990 06 79199·
 1990 05 98134·
 1990 04 41137·
 1990 03 64128.
 1990 02 88122·
 1990 01 73140·
 1989 12  17112.
 1989 11  86161.
 1989 10  66163.
 1989 09  36143.
 1989 08  71295.
 1989 07  73277.
 1989 06  13202·
 1989 05  19188·
 1989 04  67145·
 1989 03  16149·
 1989 02  55137·
 1989 01  78148·
 1988 12 92157·
 1988 11 37197·
 1988 10 41174.
 1988 09 96147·
 1988 08 59311.
 1988 07 78298·
 1988 06 47217·
 1988 05 78168·
 1988 04 5155·
 1988 03 10139·
 1988 02 74125.
 1988 01 57124·
 1987 12  94150·
 1987 11  26133·
 1987 10  48116.
 1987 09  89157·
 1987 08  14245·
 1987 07  45281·
 1987 06  17234.
 1987 05  56172.
 1987 04  77176·
 1987 03  11125·
 1987 02  59132·
 1987 01  65133·
 1986 12 22170.
 1986 11 94191·
 1986 10 72143·
 1986 09 46155.
 1986 08 11237.
 1986 07 88253·
 1986 06 83203·
 1986 05 58142·
 1986 04 32154·
 1986 03 12121.
 1986 02 4376.
 1986 01 80112·
 1985 12  98129.
 1985 11  10132·
 1985 10  25127·
 1985 09  21127·
 1985 08  47206·
 1985 07  51189·
 1985 06  31163.
 1985 05  11133·
 1985 04  42146.
 1985 03  30117·
 1985 02  87101.
 1985 01  8130·
 1984 12 70138.
 1984 11 65115·
 1984 10 42136.
 1984 09 92161·
 1984 08 46221.
 1984 07 0208.
 1984 06 72186.
 1984 05 71158·
 1984 04 5164·
 1984 03 6144·
 1984 02 77104.
 1984 01 7699·
 1983 12  13122.
 1983 11  7586.
 1983 10  8384.
 1983 09  64118.
 1983 08  55171.
 1983 07  27221.
 1983 06  40184.
 1983 05  17133.
 1983 04  46114·
 1983 03  789.
 1983 02  2499.
 1983 01  4085·
 1982 12 22121·
 1982 11 8299·
 1982 10 34103.
 1982 09 67124.
 1982 08 48188.
 1982 07 49191.
 1982 06 97151·
 1982 05 53158·
 1982 04 10125·
 1982 03 24101·
 1982 02 62130.
 1982 01 79125.
 1981 12  22135·
 1981 11  54120.
 1981 10  6111·
 1981 09  54140.
 1981 08  22193.
 1981 07  6205·
 1981 06  28168.
 1981 05  8160.
 1981 04  73183·
 1981 03  76134·
 1981 02  53120·
 1981 01  98138.
 1980 12 61154·
 1980 11 81147.
 1980 10 33171·
 1980 09 5188.
 1980 08 1247·
 1980 07 67288·
 1980 06 43239·
 1980 05 37209.
 1980 04 31201.
 1980 03 3199.
 1980 02 82158·
 1980 01 25202.
 1979 12  12205·
 1979 11  82174·
 1979 10  77172·
 1979 09  25183·
 1979 08  33217·
 1979 07  23236·
 1979 06  78193·
 1979 05  19186.
 1979 04  7202·
 1979 03  72173.
 1979 02  60174.
 1979 01  14160.
 1978 12 72185.
 1978 11 97156·
 1978 10 24190.
 1978 09 42182·
 1978 08 91252.
 1978 07 91239·
 1978 06 94181.
 1978 05 58205·
 1978 04 51179·
 1978 03 75157.
 1978 02 22151·
 1978 01 46181·
 1977 12  65187·
 1977 11  93172.
 1977 10  83178·
 1977 09  10163.
 1977 08  72214.
 1977 07  13235.
 1977 06  77184.
 1977 05  84170·
 1977 04  34202.
 1977 03  29149.
 1977 02  29187.
 1977 01  24165·
 1976 12 39172·
 1976 11 62165·
 1976 10 90176·
 1976 09 10171.
 1976 08 0197.
 1976 07 55227·
 1976 06 35171·
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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 2: Get Employment Data for Workers in the "Retail Trade" Industry







      Example 3: Get Population Level Data for Workers





 Series Title: Number At work part-time, usually PT Noneconomicreasons 30-34 hrs 16-19 yrs Male: 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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