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 Series Title: Number At work part-time, usually work full-timeEconomic reasons 30-34 hours 16-19 yrs.: NSA (Thousands)
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 1976 06 3889·
 1976 07 6584.
 1976 08 5192.
 1976 09 1274.
 1976 10 8954.
 1976 11 2055·
 1976 12 5251.
 1977 01  5622·
 1977 02  8640·
 1977 03  5662·
 1977 04  3456.
 1977 05  7982·
 1977 06  8287.
 1977 07  5388·
 1977 08  12102·
 1977 09  2672.
 1977 10  5272·
 1977 11  1751·
 1977 12  2326·
 1978 01 6631.
 1978 02 9559.
 1978 03 8265·
 1978 04 3051.
 1978 05 9463.
 1978 06 37113·
 1978 07 3125·
 1978 08 2094·
 1978 09 2868·
 1978 10 2945.
 1978 11 6155·
 1978 12 735·
 1979 01  1336·
 1979 02  4551.
 1979 03  6439.
 1979 04  2846·
 1979 05  1842·
 1979 06  87101.
 1979 07  4488.
 1979 08  4758·
 1979 09  3640·
 1979 10  8038·
 1979 11  5660.
 1979 12  5170·
 1980 01 8753.
 1980 02 7467.
 1980 03 8340.
 1980 04 5454·
 1980 05 1663·
 1980 06 44115.
 1980 07 3199.
 1980 08 92121·
 1980 09 9156.
 1980 10 9161·
 1980 11 3156·
 1980 12 2958·
 1981 01  755.
 1981 02  4149.
 1981 03  4131.
 1981 04  5450·
 1981 05  8254.
 1981 06  4382·
 1981 07  4381·
 1981 08  7792·
 1981 09  6025.
 1981 10  7359·
 1981 11  4156.
 1981 12  3962·
 1982 01 1247.
 1982 02 3162·
 1982 03 6958·
 1982 04 146.
 1982 05 3153.
 1982 06 4493.
 1982 07 8367·
 1982 08 5180·
 1982 09 3679·
 1982 10 6166.
 1982 11 6566.
 1982 12 352·
 1983 01  7141.
 1983 02  5734.
 1983 03  2144.
 1983 04  9461·
 1983 05  537.
 1983 06  3381.
 1983 07  8386·
 1983 08  8773·
 1983 09  3329.
 1983 10  1523·
 1983 11  730·
 1983 12  7049·
 1984 01 7436·
 1984 02 5250.
 1984 03 7647.
 1984 04 5632·
 1984 05 7238.
 1984 06 2188·
 1984 07 9587·
 1984 08 8369·
 1984 09 9625·
 1984 10 2143.
 1984 11 9755.
 1984 12 1346·
 1985 01  4055·
 1985 02  7948.
 1985 03  3844·
 1985 04  3541·
 1985 05  2344·
 1985 06  4373.
 1985 07  9981·
 1985 08  6161.
 1985 09  9051·
 1985 10  9141·
 1985 11  8841.
 1985 12  3049.
 1986 01 931·
 1986 02 2162·
 1986 03 3634.
 1986 04 342·
 1986 05 7535·
 1986 06 6086.
 1986 07 060.
 1986 08 7079.
 1986 09 766.
 1986 10 5844·
 1986 11 6138.
 1986 12 4351·
 1987 01  4837·
 1987 02  9073·
 1987 03  2648·
 1987 04  6038·
 1987 05  6954.
 1987 06  5758·
 1987 07  26101·
 1987 08  8385·
 1987 09  6441·
 1987 10  8437·
 1987 11  1946.
 1987 12  140.
 1988 01 5045.
 1988 02 2233.
 1988 03 8527·
 1988 04 2728.
 1988 05 7333·
 1988 06 4573·
 1988 07 32104.
 1988 08 9884·
 1988 09 256·
 1988 10 5450·
 1988 11 9259.
 1988 12 7835·
 1989 01  3128·
 1989 02  7635·
 1989 03  2037·
 1989 04  5329.
 1989 05  7831.
 1989 06  5971·
 1989 07  9867·
 1989 08  3866·
 1989 09  8932·
 1989 10  8033·
 1989 11  3362.
 1989 12  7042.
 1990 01 3246.
 1990 02 3871.
 1990 03 5859.
 1990 04 1134.
 1990 05 224.
 1990 06 6080.
 1990 07 2785.
 1990 08 5151·
 1990 09 1734.
 1990 10 9657.
 1990 11 2344.
 1990 12 146·
 1991 01  2144·
 1991 02  2036·
 1991 03  5434.
 1991 04  017·
 1991 05  8522·
 1991 06  3472·
 1991 07  4989·
 1991 08  1058.
 1991 09  152·
 1991 10  6237·
 1991 11  6655.
 1991 12  2028.
 1992 01 9054·
 1992 02 5638·
 1992 03 8723·
 1992 04 4137·
 1992 05 9428·
 1992 06 9065·
 1992 07 1898.
 1992 08 1359.
 1992 09 8434·
 1992 10 6531.
 1992 11 9145·
 1992 12 9829.
 1993 01  5439·
 1993 02  737·
 1993 03  6226.
 1993 04  8443·
 1993 05  2239·
 1993 06  6558.
 1993 07  1372.
 1993 08  8356·
 1993 09  3448.
 1993 10  1654.
 1993 11  5239.
 1993 12  3547·
 1994 01 5742·
 1994 02 5922·
 1994 03 828.
 1994 04 120.
 1994 05 8639.
 1994 06 1949·
 1994 07 4057.
 1994 08 6970·
 1994 09 4040·
 1994 10 4915.
 1994 11 2811.
 1994 12 5322·
 1995 01  6416·
 1995 02  2120·
 1995 03  808.
 1995 04  9012·
 1995 05  2641·
 1995 06  3855.
 1995 07  2657.
 1995 08  4329·
 1995 09  219.
 1995 10  2514·
 1995 11  2432.
 1995 12  019.
 1996 01 6826·
 1996 02 3124.
 1996 03 5521·
 1996 04 7413.
 1996 05 1023·
 1996 06 3232.
 1996 07 2746.
 1996 08 343·
 1996 09 1826·
 1996 10 2916.
 1996 11 6910.
 1996 12 5046·
 1997 01  8540.
 1997 02  4734·
 1997 03  4012.
 1997 04  219.
 1997 05  3024.
 1997 06  3759.
 1997 07  2166.
 1997 08  7255·
 1997 09  9825.
 1997 10  7323.
 1997 11  1827.
 1997 12  9931.
 1998 01 5733.
 1998 02 578.
 1998 03 6329·
 1998 04 4623·
 1998 05 339·
 1998 06 1338.
 1998 07 1335·
 1998 08 9943·
 1998 09 5319.
 1998 10 9219.
 1998 11 4912·
 1998 12 7328·
 1999 01  5213.
 1999 02  6943·
 1999 03  7932·
 1999 04  433.
 1999 05  6931·
 1999 06  4664·
 1999 07  3342.
 1999 08  5753·
 1999 09  9926.
 1999 10  4617·
 1999 11  6821.
 1999 12  1836.
 2000 01 6034·
 2000 02 2135·
 2000 03 6613·
 2000 04 043·
 2000 05 9753·
 2000 06 4646·
 2000 07 3462.
 2000 08 4238.
 2000 09 7829.
 2000 10 2144·
 2000 11 236.
 2000 12 723.
 2001 01  9933·
 2001 02  7216.
 2001 03  298·
 2001 04  8217.
 2001 05  7728.
 2001 06  4953.
 2001 07  9548.
 2001 08  8031·
 2001 09  5830.
 2001 10  2723.
 2001 11  830.


 2001 12  3952.
 2002 01 948·
 2002 02 89.
 2002 03 9838·
 2002 04 2234.
 2002 05 2748.
 2002 06 1553·
 2002 07 2257.
 2002 08 1745.
 2002 09 2921.
 2002 10 112.
 2002 11 6312.
 2002 12 3624.
 2003 01  6033·
 2003 02  3923.

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 16-19 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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