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 Series Title: Number At work part-time, usually work part-timeEconomic reasons 30-34 hours 25-34 yrs.: NSA (Thousands)
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 1976 06 185·
 1976 07 2766.
 1976 08 470.
 1976 09 6460.
 1976 10 67112·
 1976 11 73111.
 1976 12 42101.
 1977 01  6991·
 1977 02  2587·
 1977 03  41101.
 1977 04  789.
 1977 05  9768.
 1977 06  2489·
 1977 07  15102.
 1977 08  10108.
 1977 09  93115.
 1977 10  4181.
 1977 11  093.
 1977 12  9054·
 1978 01 2665·
 1978 02 7574·
 1978 03 2983.
 1978 04 9119·
 1978 05 9097.
 1978 06 5191·
 1978 07 5899·
 1978 08 5680·
 1978 09 453.
 1978 10 22119.
 1978 11 6892.
 1978 12 4383·
 1979 01  1274.
 1979 02  6078·
 1979 03  67104·
 1979 04  9117.
 1979 05  84134.
 1979 06  68110·
 1979 07  86103.
 1979 08  1582·
 1979 09  1479·
 1979 10  7189.
 1979 11  81104·
 1979 12  51100·
 1980 01 2070·
 1980 02 1881·
 1980 03 35113.
 1980 04 29122·
 1980 05 48134.
 1980 06 85116.
 1980 07 53125·
 1980 08 86139·
 1980 09 65110.
 1980 10 73128.
 1980 11 68112.
 1980 12 86104·
 1981 01  67127.
 1981 02  7114.
 1981 03  36146.
 1981 04  17122.
 1981 05  72177.
 1981 06  38173.
 1981 07  39169·
 1981 08  91170·
 1981 09  25113.
 1981 10  40167.
 1981 11  84163·
 1981 12  47128.
 1982 01 94136·
 1982 02 15182.
 1982 03 1197·
 1982 04 46208·
 1982 05 74210.
 1982 06 87224.
 1982 07 48224·
 1982 08 78207.
 1982 09 83203·
 1982 10 7253.
 1982 11 7266.
 1982 12 55257.
 1983 01  67271·
 1983 02  51244·
 1983 03  83233·
 1983 04  15234.
 1983 05  94260·
 1983 06  18248·
 1983 07  10259·
 1983 08  21223·
 1983 09  59264·
 1983 10  34253.
 1983 11  42256.
 1983 12  61241.
 1984 01 80236·
 1984 02 50249.
 1984 03 62247·
 1984 04 47220.
 1984 05 1209·
 1984 06 41246.
 1984 07 77220.
 1984 08 18264.
 1984 09 92257·
 1984 10 7259·
 1984 11 18228.
 1984 12 36322·
 1985 01  48231.
 1985 02  74228·
 1985 03  42232.
 1985 04  89197.
 1985 05  86264.
 1985 06  92202·
 1985 07  31221·
 1985 08  91230·
 1985 09  51255.
 1985 10  37252·
 1985 11  90249.
 1985 12  78246·
 1986 01 13228.
 1986 02 8264.
 1986 03 53267.
 1986 04 15254.
 1986 05 65300.
 1986 06 32264·
 1986 07 75234·
 1986 08 88230·
 1986 09 27285·
 1986 10 58321·
 1986 11 37253·
 1986 12 11263.
 1987 01  42286·
 1987 02  62285·
 1987 03  48296.
 1987 04  22229·
 1987 05  81280·
 1987 06  45249.
 1987 07  38257·
 1987 08  83262·
 1987 09  36229.
 1987 10  32243·
 1987 11  63252.
 1987 12  83244.
 1988 01 28276.
 1988 02 73228·
 1988 03 7291·
 1988 04 34227.
 1988 05 0179.
 1988 06 43241.
 1988 07 74239.
 1988 08 74163·
 1988 09 21209·
 1988 10 44258.
 1988 11 98254·
 1988 12 66270·
 1989 01  86231.
 1989 02  0270·
 1989 03  34229.
 1989 04  98244.
 1989 05  13258.
 1989 06  62210·
 1989 07  64234.
 1989 08  84208·
 1989 09  48236·
 1989 10  4224.
 1989 11  95266·
 1989 12  59193·
 1990 01 58267.
 1990 02 29254·
 1990 03 59274·
 1990 04 89265.
 1990 05 39235·
 1990 06 60248·
 1990 07 11243.
 1990 08 60227·
 1990 09 9237.
 1990 10 49247.
 1990 11 35247.
 1990 12 85282·
 1991 01  12246.
 1991 02  71297·
 1991 03  35324·
 1991 04  3264·
 1991 05  18251.
 1991 06  25265.
 1991 07  45272.
 1991 08  76276.
 1991 09  21311.
 1991 10  39286·
 1991 11  21300.
 1991 12  92321·
 1992 01 39321·
 1992 02 61304·
 1992 03 43347.
 1992 04 64321·
 1992 05 18248·
 1992 06 67303.
 1992 07 20291.
 1992 08 30299·
 1992 09 26342·
 1992 10 58304·
 1992 11 82328·
 1992 12 53277·
 1993 01  56330.
 1993 02  60310·
 1993 03  86278·
 1993 04  20379.
 1993 05  30333.
 1993 06  21304·
 1993 07  15329.
 1993 08  45308.
 1993 09  90322.
 1993 10  19310·
 1993 11  73312.
 1993 12  65296·
 1994 01 5328·
 1994 02 53235.
 1994 03 94275·
 1994 04 44229.
 1994 05 71274·
 1994 06 48225.
 1994 07 34184.
 1994 08 69242·
 1994 09 5220.
 1994 10 56209·
 1994 11 74215·
 1994 12 53283.
 1995 01  52209·
 1995 02  51242·
 1995 03  21289.
 1995 04  34269·
 1995 05  82228·
 1995 06  33219·
 1995 07  7198·
 1995 08  75259.
 1995 09  88219.
 1995 10  29274·
 1995 11  88188·
 1995 12  64217.
 1996 01 90225·
 1996 02 89229·
 1996 03 46235·
 1996 04 13258·
 1996 05 31191·
 1996 06 88218.
 1996 07 88276.
 1996 08 61195.
 1996 09 81179.
 1996 10 26231·
 1996 11 45196.
 1996 12 70244.
 1997 01  35217·
 1997 02  28217·
 1997 03  74271.
 1997 04  29198.
 1997 05  10221.
 1997 06  46166.
 1997 07  57170·
 1997 08  50203.
 1997 09  51186·
 1997 10  55198·
 1997 11  0184·
 1997 12  71184.
 1998 01 28201.
 1998 02 54211·
 1998 03 34230.
 1998 04 55205·
 1998 05 35156.
 1998 06 70140.
 1998 07 17181.
 1998 08 90183·
 1998 09 90195.
 1998 10 53165.
 1998 11 30151.
 1998 12 89155.
 1999 01  37179.
 1999 02  77169.
 1999 03  80179·
 1999 04  90177.
 1999 05  47162·
 1999 06  44141.
 1999 07  98142.
 1999 08  55129·
 1999 09  13129·
 1999 10  79169.
 1999 11  42155.
 1999 12  72174·
 2000 01 54143.
 2000 02 33149·
 2000 03 92183.
 2000 04 55132·
 2000 05 15112.
 2000 06 80175.
 2000 07 55153·
 2000 08 41119·
 2000 09 64104·
 2000 10 2197.
 2000 11 63155.
 2000 12 94130.
 2001 01  95148·
 2001 02  81132·
 2001 03  73155·
 2001 04  0162.
 2001 05  29182·
 2001 06  12161·
 2001 07  66153.
 2001 08  73140·
 2001 09  8160.
 2001 10  87213·
 2001 11  49183·


 2001 12  52193.
 2002 01 2231·
 2002 02 9184·
 2002 03 53190.
 2002 04 97179.
 2002 05 6171.
 2002 06 1173.
 2002 07 36192·
 2002 08 99166·
 2002 09 38203.
 2002 10 15205.
 2002 11 78233.
 2002 12 69233.
 2003 01  43256.
 2003 02  25259·

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 part-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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