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 Series Title: Number At work part-time, usually work part-timeEconomic reasons 30-34 hours 16-19 yrs.: NSA (Thousands)
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 1976 06 22133·
 1976 07 73262.
 1976 08 49197.
 1976 09 5282.
 1976 10 1055·
 1976 11 5165·
 1976 12 677.
 1977 01  3659·
 1977 02  8358.
 1977 03  4562·
 1977 04  8262.
 1977 05  3762.
 1977 06  91185·
 1977 07  39285.
 1977 08  91253·
 1977 09  083·
 1977 10  1088·
 1977 11  3877·
 1977 12  7070·
 1978 01 9368.
 1978 02 4073.
 1978 03 7492.
 1978 04 8362·
 1978 05 1163.
 1978 06 7176.
 1978 07 4270.
 1978 08 17238·
 1978 09 7384.
 1978 10 6177.
 1978 11 959.
 1978 12 8556·
 1979 01  2343.
 1979 02  7839.
 1979 03  9747.
 1979 04  2559.
 1979 05  3161.
 1979 06  57147·
 1979 07  98243.
 1979 08  0217·
 1979 09  9090.
 1979 10  2565·
 1979 11  6969.
 1979 12  9854.
 1980 01 1967·
 1980 02 3153·
 1980 03 9369·
 1980 04 3168.
 1980 05 6376·
 1980 06 51162·
 1980 07 75288.
 1980 08 38249.
 1980 09 91109·
 1980 10 85108.
 1980 11 4799.
 1980 12 81108·
 1981 01  9772·
 1981 02  5981.
 1981 03  6685·
 1981 04  4982.
 1981 05  069.
 1981 06  24199.
 1981 07  14347·
 1981 08  54254·
 1981 09  44127·
 1981 10  54108·
 1981 11  9792.
 1981 12  34108·
 1982 01 9952.
 1982 02 5079·
 1982 03 4780.
 1982 04 52111.
 1982 05 58105.
 1982 06 37167·
 1982 07 20344.
 1982 08 96307.
 1982 09 4180·
 1982 10 66130.
 1982 11 98142.
 1982 12 79134·
 1983 01  91133·
 1983 02  12115·
 1983 03  88120.
 1983 04  38105·
 1983 05  79124·
 1983 06  76278·
 1983 07  22389·
 1983 08  38285·
 1983 09  9784·
 1983 10  82106·
 1983 11  55108.
 1983 12  64113·
 1984 01 66104.
 1984 02 82108·
 1984 03 7195.
 1984 04 3198.
 1984 05 2997·
 1984 06 51265.
 1984 07 74377·
 1984 08 76272·
 1984 09 56114.
 1984 10 88109.
 1984 11 98103.
 1984 12 62114·
 1985 01  4182.
 1985 02  2081.
 1985 03  9883·
 1985 04  7872·
 1985 05  2101·
 1985 06  97222.
 1985 07  56329.
 1985 08  35338.
 1985 09  84152·
 1985 10  94100·
 1985 11  7990·
 1985 12  7297·
 1986 01 5682.
 1986 02 1288.
 1986 03 9979.
 1986 04 5290·
 1986 05 12102·
 1986 06 76192.
 1986 07 72321·
 1986 08 62312.
 1986 09 7289.
 1986 10 36117.
 1986 11 7994·
 1986 12 1692.
 1987 01  7987·
 1987 02  6883·
 1987 03  2880·
 1987 04  5293.
 1987 05  371.
 1987 06  72205.
 1987 07  50329·
 1987 08  31278·
 1987 09  3895·
 1987 10  74120.
 1987 11  276·
 1987 12  43110·
 1988 01 288·
 1988 02 2479.
 1988 03 6568.
 1988 04 065·
 1988 05 4183.
 1988 06 97228.
 1988 07 47334·
 1988 08 39270.
 1988 09 2295.
 1988 10 9491.
 1988 11 7875.
 1988 12 2595·
 1989 01  4272·
 1989 02  4058.
 1989 03  1571.
 1989 04  4474·
 1989 05  1785·
 1989 06  86226.
 1989 07  40254.
 1989 08  10245·
 1989 09  93106.
 1989 10  693·
 1989 11  5981.
 1989 12  6069·
 1990 01 3994.
 1990 02 262·
 1990 03 587·
 1990 04 5895·
 1990 05 4980.
 1990 06 99210·
 1990 07 34323·
 1990 08 91178·
 1990 09 42100.
 1990 10 4687·
 1990 11 2796.
 1990 12 7264.
 1991 01  6287.
 1991 02  2193.
 1991 03  9183.
 1991 04  3981·
 1991 05  78103·
 1991 06  22179·
 1991 07  58272.
 1991 08  56173·
 1991 09  85120.
 1991 10  7577.
 1991 11  8586.
 1991 12  985·
 1992 01 266·
 1992 02 3166·
 1992 03 5263.
 1992 04 1287.
 1992 05 72102·
 1992 06 65186.
 1992 07 67239·
 1992 08 2279·
 1992 09 65122·
 1992 10 78108·
 1992 11 6297.
 1992 12 43105.
 1993 01  7586.
 1993 02  94100.
 1993 03  9275·
 1993 04  2261·
 1993 05  2190.
 1993 06  65164·
 1993 07  40329.
 1993 08  53252·
 1993 09  48105.
 1993 10  65105·
 1993 11  1369·
 1993 12  7393.
 1994 01 2466.
 1994 02 9586·
 1994 03 4168.
 1994 04 4562·
 1994 05 4462.
 1994 06 81168.
 1994 07 82185.
 1994 08 57141·
 1994 09 2658·
 1994 10 7277·
 1994 11 1784.
 1994 12 2180.
 1995 01  1579·
 1995 02  4594.
 1995 03  5270·
 1995 04  7780·
 1995 05  8072·
 1995 06  99147.
 1995 07  21187·
 1995 08  86113·
 1995 09  1682·
 1995 10  6070.
 1995 11  7874.
 1995 12  3769.
 1996 01 4033·
 1996 02 7881·
 1996 03 639·
 1996 04 4255·
 1996 05 9851.
 1996 06 30126·
 1996 07 11198·
 1996 08 39109.
 1996 09 5966·
 1996 10 1455.
 1996 11 2637.
 1996 12 9244·
 1997 01  1655.
 1997 02  5787·
 1997 03  668·
 1997 04  8861·
 1997 05  8961·
 1997 06  9124·
 1997 07  33156·
 1997 08  40105·
 1997 09  2366·
 1997 10  4576.
 1997 11  1472·
 1997 12  8579.
 1998 01 8552·
 1998 02 6670.
 1998 03 8191·
 1998 04 8846.
 1998 05 7078.
 1998 06 9799.
 1998 07 90160.
 1998 08 3587.
 1998 09 9845·
 1998 10 8876.
 1998 11 2365.
 1998 12 3962.
 1999 01  1374·
 1999 02  1569·
 1999 03  8751.
 1999 04  3952·
 1999 05  8352.
 1999 06  79100.
 1999 07  12166.
 1999 08  9873.
 1999 09  366·
 1999 10  443·
 1999 11  5749.
 1999 12  258·
 2000 01 9260.
 2000 02 4165.
 2000 03 155.
 2000 04 6659.
 2000 05 9589·
 2000 06 66130.
 2000 07 53114·
 2000 08 2773.
 2000 09 7961.
 2000 10 7889·
 2000 11 4433·
 2000 12 4755.
 2001 01  4064·
 2001 02  473.
 2001 03  3062·
 2001 04  1653.
 2001 05  9653.
 2001 06  93122.
 2001 07  93118.
 2001 08  4585·
 2001 09  9285.
 2001 10  2285·
 2001 11  3996.


 2001 12  7286·
 2002 01 9746·
 2002 02 8968·
 2002 03 153.
 2002 04 6152·
 2002 05 580.
 2002 06 22127.
 2002 07 34138.
 2002 08 057.
 2002 09 3584·
 2002 10 6989·
 2002 11 22101·
 2002 12 062·
 2003 01  3155.
 2003 02  871.
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: 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 16-19 yrs.: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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