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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 48171.
 1976 07 14227·
 1976 08 50197.
 1976 09 88171.
 1976 10 88176·
 1976 11 8165.
 1976 12 12172·
 1977 01  91165.
 1977 02  19187.
 1977 03  25149.
 1977 04  0202·
 1977 05  18170·
 1977 06  91184·
 1977 07  47235·
 1977 08  26214·
 1977 09  12163.
 1977 10  81178.
 1977 11  81172·
 1977 12  29187·
 1978 01 43181.
 1978 02 89151.
 1978 03 58157.
 1978 04 72179·
 1978 05 6205.
 1978 06 39181·
 1978 07 35239.
 1978 08 43252.
 1978 09 18182.
 1978 10 82190·
 1978 11 94156.
 1978 12 53185·
 1979 01  25160·
 1979 02  95174·
 1979 03  42173·
 1979 04  42202.
 1979 05  96186·
 1979 06  76193·
 1979 07  9236.
 1979 08  72217·
 1979 09  24183·
 1979 10  52172.
 1979 11  53174·
 1979 12  31205·
 1980 01 29202.
 1980 02 72158·
 1980 03 55199·
 1980 04 32201·
 1980 05 54209.
 1980 06 13239·
 1980 07 22288·
 1980 08 13247·
 1980 09 70188.
 1980 10 75171.
 1980 11 85147.
 1980 12 37154·
 1981 01  70138·
 1981 02  82120·
 1981 03  2134.
 1981 04  91183·
 1981 05  74160·
 1981 06  86168·
 1981 07  53205.
 1981 08  88193.
 1981 09  25140.
 1981 10  62111.
 1981 11  46120.
 1981 12  67135·
 1982 01 92125.
 1982 02 10130·
 1982 03 12101.
 1982 04 91125·
 1982 05 71158·
 1982 06 56151.
 1982 07 7191·
 1982 08 46188·
 1982 09 79124·
 1982 10 49103·
 1982 11 1499.
 1982 12 47121·
 1983 01  6185.
 1983 02  6699.
 1983 03  3989.
 1983 04  30114.
 1983 05  87133·
 1983 06  7184.
 1983 07  14221·
 1983 08  59171·
 1983 09  50118.
 1983 10  9784.
 1983 11  9586·
 1983 12  22122.
 1984 01 6999.
 1984 02 86104.
 1984 03 63144.
 1984 04 32164.
 1984 05 89158.
 1984 06 50186·
 1984 07 27208.
 1984 08 26221.
 1984 09 79161·
 1984 10 90136·
 1984 11 16115.
 1984 12 68138·
 1985 01  32130·
 1985 02  30101.
 1985 03  89117.
 1985 04  44146.
 1985 05  69133·
 1985 06  22163·
 1985 07  26189·
 1985 08  69206·
 1985 09  33127.
 1985 10  40127·
 1985 11  34132·
 1985 12  80129.
 1986 01 93112·
 1986 02 8476·
 1986 03 45121.
 1986 04 40154·
 1986 05 43142·
 1986 06 82203·
 1986 07 15253·
 1986 08 37237.
 1986 09 4155·
 1986 10 81143.
 1986 11 26191·
 1986 12 84170·
 1987 01  18133.
 1987 02  59132·
 1987 03  85125.
 1987 04  18176.
 1987 05  54172.
 1987 06  15234·
 1987 07  23281.
 1987 08  3245·
 1987 09  8157.
 1987 10  76116·
 1987 11  97133·
 1987 12  26150.
 1988 01 98124.
 1988 02 90125·
 1988 03 89139·
 1988 04 0155.
 1988 05 69168·
 1988 06 34217.
 1988 07 5298.
 1988 08 64311.
 1988 09 88147·
 1988 10 8174.
 1988 11 77197·
 1988 12 79157·
 1989 01  52148·
 1989 02  37137.
 1989 03  62149.
 1989 04  35145.
 1989 05  78188·
 1989 06  72202·
 1989 07  40277.
 1989 08  44295·
 1989 09  11143·
 1989 10  89163·
 1989 11  20161.
 1989 12  43112.
 1990 01 20140·
 1990 02 87122.
 1990 03 32128.
 1990 04 96137·
 1990 05 99134·
 1990 06 91199·
 1990 07 33237·
 1990 08 90266.
 1990 09 67142.
 1990 10 54127·
 1990 11 5155.
 1990 12 39148.
 1991 01  69143.
 1991 02  49125·
 1991 03  54139·
 1991 04  80130·
 1991 05  73145·
 1991 06  77140·
 1991 07  12219.
 1991 08  77232·
 1991 09  74140·
 1991 10  64143·
 1991 11  36137·
 1991 12  1687·
 1992 01 91106.
 1992 02 59118.
 1992 03 7136.
 1992 04 12120·
 1992 05 68133.
 1992 06 39158·
 1992 07 32206.
 1992 08 1204·
 1992 09 74112·
 1992 10 4154·
 1992 11 42136·
 1992 12 47200·
 1993 01  4116·
 1993 02  78126.
 1993 03  95103.
 1993 04  38119·
 1993 05  75109·
 1993 06  13179·
 1993 07  72241·
 1993 08  86229.
 1993 09  34133.
 1993 10  8497.
 1993 11  79118·
 1993 12  30166·
 1994 01 48170.
 1994 02 92134·
 1994 03 48166·
 1994 04 32126·
 1994 05 11121.
 1994 06 61250·
 1994 07 37291.
 1994 08 81268.
 1994 09 44143.
 1994 10 42157.
 1994 11 25163.
 1994 12 88140·
 1995 01  90133·
 1995 02  10127·
 1995 03  21134·
 1995 04  92128.
 1995 05  18208.
 1995 06  66272.
 1995 07  55326.
 1995 08  57245.
 1995 09  23154.
 1995 10  36149·
 1995 11  85124.
 1995 12  69143.
 1996 01 23158·
 1996 02 69144.
 1996 03 91172·
 1996 04 42158·
 1996 05 63138.
 1996 06 41215·
 1996 07 81317.
 1996 08 13279.
 1996 09 11199.
 1996 10 52166·
 1996 11 87146.
 1996 12 46137.
 1997 01  63137·
 1997 02  28136.
 1997 03  64146·
 1997 04  28173.
 1997 05  37180·
 1997 06  20239.
 1997 07  95252.
 1997 08  73208·
 1997 09  77165·
 1997 10  2157.
 1997 11  87146·
 1997 12  17164·
 1998 01 52143.
 1998 02 74106·
 1998 03 70167·
 1998 04 25209.
 1998 05 57145·
 1998 06 64317·
 1998 07 1313.
 1998 08 83298.
 1998 09 10157.
 1998 10 20163·
 1998 11 63211.
 1998 12 5186·
 1999 01  56178·
 1999 02  18157.
 1999 03  61169.
 1999 04  29210·
 1999 05  65198.
 1999 06  58264·
 1999 07  28384·
 1999 08  18343.
 1999 09  29176.
 1999 10  67193.
 1999 11  19176·
 1999 12  59159·
 2000 01 69180·
 2000 02 94165.
 2000 03 18198.
 2000 04 65212·
 2000 05 27224·
 2000 06 14266.
 2000 07 29369·
 2000 08 75299·
 2000 09 75234·
 2000 10 28200·
 2000 11 86178.
 2000 12 51192.
 2001 01  5186·
 2001 02  62165.
 2001 03  44181.
 2001 04  80162.
 2001 05  37174.
 2001 06  66282·
 2001 07  86384·
 2001 08  77281·
 2001 09  15177.
 2001 10  15158.
 2001 11  17156.


 2001 12  79221·
 2002 01 7174·
 2002 02 10168.
 2002 03 70161.
 2002 04 48181·
 2002 05 9176·
 2002 06 76215.
 2002 07 1232·
 2002 08 73271.
 2002 09 40159·
 2002 10 63169.
 2002 11 92178·
 2002 12 66160·
 2003 01  43112.
 2003 02  47149·

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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