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 Series Title: Number At work part-time, usually work full-timeEconomic reasons 30-34 hours 25-34 yrs.: NSA (Thousands)
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 1976 06 1132·
 1976 07 15144.
 1976 08 47135.
 1976 09 41150·
 1976 10 69123·
 1976 11 3143·
 1976 12 18121·
 1977 01  19126.
 1977 02  91203·
 1977 03  76142·
 1977 04  78143.
 1977 05  83167.
 1977 06  17159.
 1977 07  17136.
 1977 08  39135·
 1977 09  78132.
 1977 10  22149·
 1977 11  33150.
 1977 12  39167.
 1978 01 72130.
 1978 02 8160·
 1978 03 54203·
 1978 04 42138.
 1978 05 59138.
 1978 06 99170.
 1978 07 38128·
 1978 08 34155·
 1978 09 59147.
 1978 10 46135·
 1978 11 66136·
 1978 12 29124.
 1979 01  17141·
 1979 02  24190.
 1979 03  44211·
 1979 04  65172·
 1979 05  0157·
 1979 06  34167·
 1979 07  5135·
 1979 08  5182·
 1979 09  3165·
 1979 10  0154·
 1979 11  6212·
 1979 12  36198·
 1980 01 46192·
 1980 02 74197.
 1980 03 27198.
 1980 04 72243·
 1980 05 72269.
 1980 06 31279.
 1980 07 75200·
 1980 08 50234.
 1980 09 50185·
 1980 10 71196·
 1980 11 82237.
 1980 12 33234·
 1981 01  76219.
 1981 02  19222·
 1981 03  5241·
 1981 04  9187.
 1981 05  67214.
 1981 06  27199·
 1981 07  26208.
 1981 08  91242·
 1981 09  68211.
 1981 10  68292·
 1981 11  50228.
 1981 12  17323·
 1982 01 48230.
 1982 02 44347.
 1982 03 10318·
 1982 04 50324·
 1982 05 2302.
 1982 06 81299·
 1982 07 62302·
 1982 08 78287.
 1982 09 48325.
 1982 10 28320.
 1982 11 88293·
 1982 12 13382.
 1983 01  30356.
 1983 02  60292.
 1983 03  94283.
 1983 04  93292·
 1983 05  18257·
 1983 06  79287·
 1983 07  13215·
 1983 08  82226.
 1983 09  6197.
 1983 10  10239.
 1983 11  0245·
 1983 12  67256.
 1984 01 14280.
 1984 02 3236·
 1984 03 38223·
 1984 04 61217·
 1984 05 84220.
 1984 06 33251·
 1984 07 33205·
 1984 08 3248.
 1984 09 86229·
 1984 10 1211.
 1984 11 16249·
 1984 12 54227.
 1985 01  15256.
 1985 02  32233.
 1985 03  45263.
 1985 04  2216.
 1985 05  89272·
 1985 06  77262.
 1985 07  1232·
 1985 08  62228·
 1985 09  53229·
 1985 10  11218·
 1985 11  90234.
 1985 12  70213.
 1986 01 76280.
 1986 02 34242·
 1986 03 45217.
 1986 04 90271·
 1986 05 52313·
 1986 06 72233·
 1986 07 22266·
 1986 08 9261·
 1986 09 0258.
 1986 10 75259·
 1986 11 2232.
 1986 12 40213.
 1987 01  64233·
 1987 02  18289·
 1987 03  92271.
 1987 04  21247.
 1987 05  13197.
 1987 06  3221.
 1987 07  24263.
 1987 08  15236·
 1987 09  42157.
 1987 10  54215·
 1987 11  55253.
 1987 12  10228.
 1988 01 70266·
 1988 02 22289·
 1988 03 66275·
 1988 04 19272.
 1988 05 41299.
 1988 06 81274·
 1988 07 63240·
 1988 08 80239.
 1988 09 23225·
 1988 10 34194.
 1988 11 79228·
 1988 12 55238·
 1989 01  12260.
 1989 02  4226.
 1989 03  70293·
 1989 04  33277.
 1989 05  25233.
 1989 06  42208·
 1989 07  18267.
 1989 08  26234·
 1989 09  8231.
 1989 10  24248.
 1989 11  29246.
 1989 12  72231.
 1990 01 30322·
 1990 02 51281·
 1990 03 35312·
 1990 04 35217.
 1990 05 84221.
 1990 06 46245·
 1990 07 92233·
 1990 08 1279·
 1990 09 90269·
 1990 10 62243.
 1990 11 83292·
 1990 12 85306.
 1991 01  92335.
 1991 02  73382·
 1991 03  13365·
 1991 04  23318.
 1991 05  60274·
 1991 06  79264·
 1991 07  15297.
 1991 08  79298·
 1991 09  86264·
 1991 10  7396·
 1991 11  46361·
 1991 12  41361.
 1992 01 90376.
 1992 02 6399·
 1992 03 86316.
 1992 04 21291·
 1992 05 18282·
 1992 06 51358·
 1992 07 42231·
 1992 08 57244.
 1992 09 36219.
 1992 10 44292.
 1992 11 47297·
 1992 12 13278·
 1993 01  41293·
 1993 02  10337.
 1993 03  56295.
 1993 04  76238·
 1993 05  50341.
 1993 06  98260·
 1993 07  52291.
 1993 08  59223·
 1993 09  9282.
 1993 10  85229·
 1993 11  40302.
 1993 12  0242.
 1994 01 85194.
 1994 02 71157·
 1994 03 54213·
 1994 04 61170.
 1994 05 74155.
 1994 06 80170·
 1994 07 48165·
 1994 08 32140.
 1994 09 95145.
 1994 10 65167·
 1994 11 6127·
 1994 12 24148.
 1995 01  91246·
 1995 02  99160·
 1995 03  33197.
 1995 04  75164.
 1995 05  32195·
 1995 06  83169·
 1995 07  61170.
 1995 08  49190.
 1995 09  12190.
 1995 10  44137.
 1995 11  47174·
 1995 12  33205·
 1996 01 50159.
 1996 02 30181.
 1996 03 73167·
 1996 04 41199.
 1996 05 90146.
 1996 06 18154·
 1996 07 44148.
 1996 08 9163·
 1996 09 1144.
 1996 10 8153·
 1996 11 94171.
 1996 12 2151·
 1997 01  78166.
 1997 02  25198·
 1997 03  78160.
 1997 04  6220·
 1997 05  39160·
 1997 06  19126.
 1997 07  77171·
 1997 08  35130·
 1997 09  29146·
 1997 10  67121.
 1997 11  0149·
 1997 12  26160.
 1998 01 17212.
 1998 02 68192.
 1998 03 77153.
 1998 04 43140·
 1998 05 97183.
 1998 06 48121·
 1998 07 65153.
 1998 08 74165.
 1998 09 88107.
 1998 10 58150·
 1998 11 4584·
 1998 12 31161·
 1999 01  35159·
 1999 02  71179.
 1999 03  25164.
 1999 04  52142.
 1999 05  6122.
 1999 06  90140·
 1999 07  36129·
 1999 08  0126.
 1999 09  95130·
 1999 10  40113·
 1999 11  34134·
 1999 12  63134.
 2000 01 22127·
 2000 02 70150·
 2000 03 1116.
 2000 04 54136·
 2000 05 32123.
 2000 06 56136.
 2000 07 44126.
 2000 08 11130·
 2000 09 92137·
 2000 10 99128.
 2000 11 95163.
 2000 12 96157·
 2001 01  97184.
 2001 02  24160·
 2001 03  10188·
 2001 04  98141·
 2001 05  66138.
 2001 06  81151.
 2001 07  70136.
 2001 08  29129·
 2001 09  44199.
 2001 10  46229·
 2001 11  83218·


 2001 12  28192.
 2002 01 0212·
 2002 02 19190·
 2002 03 80191.
 2002 04 57227.
 2002 05 27152.
 2002 06 25153·
 2002 07 17171.
 2002 08 4199.
 2002 09 45173.
 2002 10 16151·
 2002 11 77133.
 2002 12 82160.
 2003 01  98183·
 2003 02  66202·

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 work full-timeEconomic reasons 30-34 hours 25-34 yrs.: 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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