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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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 1976 06 43171.
 1976 07 90227.
 1976 08 0197·
 1976 09 69171·
 1976 10 20176·
 1976 11 73165·
 1976 12 55172.
 1977 01  18165·
 1977 02  0187·
 1977 03  93149·
 1977 04  48202.
 1977 05  4170·
 1977 06  35184.
 1977 07  30235.
 1977 08  93214.
 1977 09  69163.
 1977 10  99178·
 1977 11  91172.
 1977 12  27187.
 1978 01 84181.
 1978 02 93151.
 1978 03 8157·
 1978 04 13179.
 1978 05 43205·
 1978 06 43181.
 1978 07 38239.
 1978 08 39252.
 1978 09 64182·
 1978 10 99190·
 1978 11 62156.
 1978 12 17185·
 1979 01  93160·
 1979 02  35174.
 1979 03  87173.
 1979 04  87202·
 1979 05  97186·
 1979 06  53193.
 1979 07  44236·
 1979 08  10217·
 1979 09  71183·
 1979 10  79172·
 1979 11  91174.
 1979 12  75205.
 1980 01 35202·
 1980 02 61158·
 1980 03 8199.
 1980 04 94201.
 1980 05 32209·
 1980 06 76239.
 1980 07 2288·
 1980 08 6247·
 1980 09 32188.
 1980 10 25171·
 1980 11 6147.
 1980 12 72154·
 1981 01  28138.
 1981 02  32120.
 1981 03  75134.
 1981 04  82183·
 1981 05  40160.
 1981 06  48168·
 1981 07  91205·
 1981 08  48193·
 1981 09  13140.
 1981 10  48111·
 1981 11  62120.
 1981 12  8135.
 1982 01 14125·
 1982 02 33130·
 1982 03 17101·
 1982 04 24125.
 1982 05 39158·
 1982 06 28151·
 1982 07 16191.
 1982 08 85188.
 1982 09 6124·
 1982 10 83103.
 1982 11 3899.
 1982 12 4121.
 1983 01  5985.
 1983 02  7599·
 1983 03  9089.
 1983 04  18114.
 1983 05  69133.
 1983 06  2184·
 1983 07  5221.
 1983 08  90171.
 1983 09  28118.
 1983 10  9184·
 1983 11  3886·
 1983 12  9122.
 1984 01 5699.
 1984 02 93104·
 1984 03 72144·
 1984 04 87164·
 1984 05 97158·
 1984 06 81186.
 1984 07 13208.
 1984 08 62221·
 1984 09 21161.
 1984 10 58136.
 1984 11 93115·
 1984 12 96138.
 1985 01  21130.
 1985 02  48101.
 1985 03  67117·
 1985 04  79146·
 1985 05  16133·
 1985 06  1163·
 1985 07  19189·
 1985 08  22206.
 1985 09  51127.
 1985 10  93127·
 1985 11  55132·
 1985 12  64129.
 1986 01 95112·
 1986 02 2576.
 1986 03 6121.
 1986 04 67154·
 1986 05 42142·
 1986 06 22203·
 1986 07 29253.
 1986 08 19237·
 1986 09 11155.
 1986 10 33143.
 1986 11 5191.
 1986 12 34170.
 1987 01  46133·
 1987 02  36132.
 1987 03  41125.
 1987 04  49176·
 1987 05  17172.
 1987 06  29234·
 1987 07  70281.
 1987 08  27245.
 1987 09  17157.
 1987 10  38116.
 1987 11  46133·
 1987 12  55150·
 1988 01 66124.
 1988 02 15125·
 1988 03 53139.
 1988 04 48155.
 1988 05 7168.
 1988 06 33217.
 1988 07 97298·
 1988 08 42311·
 1988 09 11147·
 1988 10 94174.
 1988 11 9197.
 1988 12 1157.
 1989 01  70148.
 1989 02  23137·
 1989 03  46149.
 1989 04  12145.
 1989 05  5188.
 1989 06  70202·
 1989 07  90277.
 1989 08  89295.
 1989 09  60143·
 1989 10  10163.
 1989 11  47161·
 1989 12  69112·
 1990 01 2140.
 1990 02 45122·
 1990 03 49128·
 1990 04 15137·
 1990 05 28134.
 1990 06 0199·
 1990 07 52237.
 1990 08 15266·
 1990 09 55142·
 1990 10 24127·
 1990 11 39155·
 1990 12 82148·
 1991 01  28143·
 1991 02  93125·
 1991 03  16139.
 1991 04  54130.
 1991 05  16145·
 1991 06  8140·
 1991 07  14219.
 1991 08  94232·
 1991 09  13140.
 1991 10  94143.
 1991 11  90137·
 1991 12  8987·
 1992 01 39106.
 1992 02 2118.
 1992 03 26136·
 1992 04 53120.
 1992 05 37133·
 1992 06 6158·
 1992 07 29206.
 1992 08 23204.
 1992 09 77112.
 1992 10 8154.
 1992 11 29136.
 1992 12 62200.
 1993 01  53116.
 1993 02  32126·
 1993 03  85103.
 1993 04  58119·
 1993 05  83109.
 1993 06  29179.
 1993 07  77241·
 1993 08  25229·
 1993 09  13133.
 1993 10  7497.
 1993 11  11118·
 1993 12  99166·
 1994 01 11170.
 1994 02 68134·
 1994 03 21166.
 1994 04 45126·
 1994 05 71121.
 1994 06 37250.
 1994 07 61291·
 1994 08 49268.
 1994 09 12143.
 1994 10 30157·
 1994 11 15163·
 1994 12 24140.
 1995 01  80133.
 1995 02  22127.
 1995 03  88134·
 1995 04  9128·
 1995 05  42208.
 1995 06  15272·
 1995 07  12326.
 1995 08  67245·
 1995 09  92154·
 1995 10  34149·
 1995 11  45124·
 1995 12  85143.
 1996 01 51158·
 1996 02 29144.
 1996 03 66172·
 1996 04 76158·
 1996 05 62138.
 1996 06 76215·
 1996 07 84317.
 1996 08 78279·
 1996 09 95199.
 1996 10 74166.
 1996 11 30146·
 1996 12 54137·
 1997 01  43137·
 1997 02  50136·
 1997 03  60146.
 1997 04  91173.
 1997 05  25180.
 1997 06  53239.
 1997 07  56252.
 1997 08  4208.
 1997 09  86165·
 1997 10  59157.
 1997 11  24146.
 1997 12  29164·
 1998 01 95143.
 1998 02 69106·
 1998 03 97167·
 1998 04 30209·
 1998 05 47145·
 1998 06 8317.
 1998 07 31313·
 1998 08 94298.
 1998 09 59157·
 1998 10 26163.
 1998 11 8211·
 1998 12 34186.
 1999 01  76178.
 1999 02  98157·
 1999 03  34169·
 1999 04  89210·
 1999 05  68198·
 1999 06  26264·
 1999 07  40384.
 1999 08  21343·
 1999 09  29176·
 1999 10  33193.
 1999 11  85176.
 1999 12  17159·
 2000 01 77180·
 2000 02 72165·
 2000 03 48198.
 2000 04 92212·
 2000 05 58224·
 2000 06 17266·
 2000 07 37369.
 2000 08 82299·
 2000 09 39234.
 2000 10 68200.
 2000 11 84178.
 2000 12 51192.
 2001 01  15186·
 2001 02  52165.
 2001 03  45181·
 2001 04  87162.
 2001 05  6174.
 2001 06  18282.
 2001 07  1384.
 2001 08  2281.
 2001 09  55177.
 2001 10  41158.
 2001 11  60156·


 2001 12  34221.
 2002 01 32174.
 2002 02 23168·
 2002 03 53161·
 2002 04 46181.
 2002 05 30176·
 2002 06 88215·
 2002 07 37232.
 2002 08 27271.
 2002 09 69159.
 2002 10 87169.
 2002 11 93178·
 2002 12 88160·
 2003 01  93112·
 2003 02  95149·

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 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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