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 Series Title: Number At work part-time, usually work part-timeEconomic reasons 30-34 hours 45-54 yrs.: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2003 02  47145.
 2003 01  73137.
 2002 12 92123·
 2002 11 7120.
 2002 10 46114.
 2002 09 36101.
 2002 08 1096·
 2002 07 2774.
 2002 06 29132.
 2002 05 17109.
 2002 04 47108.
 2002 03 64154.
 2002 02 49160·
 2002 01 9692.
 2001 12  1798·
 2001 11  62110.
 2001 10  7980.
 2001 09  81116.
 2001 08  5792.
 2001 07  91108.
 2001 06  20122.
 2001 05  393.
 2001 04  30100·
 2001 03  46103·
 2001 02  98108.
 2001 01  1993.
 2000 12 2591·
 2000 11 4486.
 2000 10 6364.
 2000 09 1064.
 2000 08 5469·
 2000 07 3077·
 2000 06 9068.
 2000 05 8499.
 2000 04 5591.
 2000 03 7394.
 2000 02 80105·
 2000 01 7193.
 1999 12  9195.
 1999 11  6873.
 1999 10  5998·
 1999 09  2898.
 1999 08  5057·
 1999 07  3380·
 1999 06  7682.
 1999 05  3798·
 1999 04  4475·
 1999 03  1382·
 1999 02  794.
 1999 01  565.
 1998 12 12103.
 1998 11 7774·
 1998 10 5275.
 1998 09 6372.
 1998 08 1673·
 1998 07 1984·
 1998 06 37111.
 1998 05 6982.
 1998 04 45103.
 1998 03 58101.
 1998 02 13107·
 1998 01 2105.
 1997 12  1197.
 1997 11  38117·
 1997 10  5488·
 1997 09  71110·
 1997 08  5296.
 1997 07  2994·
 1997 06  6084·
 1997 05  7111·
 1997 04  31111.
 1997 03  24127.
 1997 02  59101·
 1997 01  66105·
 1996 12 36137·
 1996 11 4299.
 1996 10 99112.
 1996 09 30114·
 1996 08 7997.
 1996 07 29129·
 1996 06 56110·
 1996 05 6107·
 1996 04 0103.
 1996 03 52107·
 1996 02 30117.
 1996 01 26111·
 1995 12  6093·
 1995 11  7113·
 1995 10  48118.
 1995 09  45119.
 1995 08  47116·
 1995 07  12103.
 1995 06  58118·
 1995 05  4699·
 1995 04  75108.
 1995 03  11144.
 1995 02  38111·
 1995 01  36110.
 1994 12 81110.
 1994 11 7395.
 1994 10 86101.
 1994 09 45104·
 1994 08 2992.
 1994 07 94113·
 1994 06 29126.
 1994 05 31117.
 1994 04 5159·
 1994 03 91153·
 1994 02 17139.
 1994 01 76117.
 1993 12  23153.
 1993 11  9152.
 1993 10  25133.
 1993 09  85126·
 1993 08  21136·
 1993 07  17102.
 1993 06  54121·
 1993 05  90180.
 1993 04  62138·
 1993 03  9126.
 1993 02  29128·
 1993 01  49104·
 1992 12 33180.
 1992 11 5186.
 1992 10 0153·
 1992 09 43126·
 1992 08 48112.
 1992 07 48134.
 1992 06 43126.
 1992 05 78161·
 1992 04 44162.
 1992 03 8158·
 1992 02 58136.
 1992 01 86140·
 1991 12  85111.
 1991 11  78132.
 1991 10  71124.
 1991 09  23138·
 1991 08  57144·
 1991 07  79112.
 1991 06  31123·
 1991 05  73123.
 1991 04  75141.
 1991 03  53115·
 1991 02  15119·
 1991 01  40103·
 1990 12 76103.
 1990 11 71107·
 1990 10 2362·
 1990 09 5799·
 1990 08 2297·
 1990 07 2658·
 1990 06 8096·
 1990 05 8091·
 1990 04 296·
 1990 03 38106.
 1990 02 3774.
 1990 01 91102·
 1989 12  29112.
 1989 11  50103.
 1989 10  68106·
 1989 09  9686·
 1989 08  4081·
 1989 07  3275.
 1989 06  75110·
 1989 05  2884.
 1989 04  9990·
 1989 03  77103.
 1989 02  83108.
 1989 01  4287.
 1988 12 93104·
 1988 11 692·
 1988 10 4199·
 1988 09 2271·
 1988 08 3593·
 1988 07 6274·
 1988 06 2677.
 1988 05 72111·
 1988 04 63111.
 1988 03 14107·
 1988 02 3996.
 1988 01 2584·
 1987 12  4092.
 1987 11  57101·
 1987 10  3101.
 1987 09  3788.
 1987 08  5480·
 1987 07  1076.
 1987 06  7090·
 1987 05  9198.
 1987 04  1885.
 1987 03  16108.
 1987 02  1594·
 1987 01  9293·
 1986 12 7098·
 1986 11 45110·
 1986 10 38101·
 1986 09 72102.
 1986 08 7176·
 1986 07 9175·
 1986 06 66111.
 1986 05 89131.
 1986 04 12111·
 1986 03 73105.
 1986 02 47111·
 1986 01 23108.
 1985 12  383·
 1985 11  3692.
 1985 10  5877.
 1985 09  8198·
 1985 08  8469.
 1985 07  4783.
 1985 06  9977·
 1985 05  9596.
 1985 04  17119.
 1985 03  3120·
 1985 02  9690·
 1985 01  2294·
 1984 12 9078.
 1984 11 21122.
 1984 10 98113.
 1984 09 42101·
 1984 08 1679.
 1984 07 4677·
 1984 06 82106.
 1984 05 6486.
 1984 04 3294·
 1984 03 47118.
 1984 02 47113.
 1984 01 1882.
 1983 12  272·
 1983 11  1980.
 1983 10  19101·
 1983 09  61106·
 1983 08  14113·
 1983 07  7999·
 1983 06  4877·
 1983 05  75128.
 1983 04  80117.
 1983 03  73113.
 1983 02  11115·
 1983 01  67109.
 1982 12 38103·
 1982 11 70111.
 1982 10 6119·
 1982 09 67109·
 1982 08 5296·
 1982 07 6382.
 1982 06 60106.
 1982 05 3381.
 1982 04 980·
 1982 03 7299·
 1982 02 23115·
 1982 01 4682.
 1981 12  2184.
 1981 11  4182.
 1981 10  7083.
 1981 09  1455.
 1981 08  2847·
 1981 07  4049·
 1981 06  149·
 1981 05  6668·
 1981 04  9160·
 1981 03  6164.
 1981 02  4353.
 1981 01  6181·
 1980 12 9977.
 1980 11 2562.
 1980 10 4675.
 1980 09 8063.
 1980 08 6554.
 1980 07 7668.
 1980 06 8462·
 1980 05 3055.
 1980 04 2640.
 1980 03 8238·
 1980 02 5851·
 1980 01 4153·
 1979 12  4558·
 1979 11  3848.
 1979 10  9430·
 1979 09  7236.
 1979 08  1026·
 1979 07  6328·
 1979 06  4233.
 1979 05  250.
 1979 04  3529.
 1979 03  143.
 1979 02  7843·
 1979 01  4050·
 1978 12 5744.
 1978 11 2133.
 1978 10 140·
 1978 09 1642·
 1978 08 3839.
 1978 07 1832.
 1978 06 3847.
 1978 05 8857·
 1978 04 6844·
 1978 03 1049.
 1978 02 3856·
 1978 01 3741.
 1977 12  5847·
 1977 11  4259.
 1977 10  7858·
 1977 09  7050.
 1977 08  4633·
 1977 07  8350·
 1977 06  5634·
 1977 05  1753·
 1977 04  9643.
 1977 03  2767.
 1977 02  049.
 1977 01  3753·
 1976 12 9555·
 1976 11 9369·
 1976 10 5849·
 1976 09 1023·
 1976 08 5732.
 1976 07 2543.
 1976 06 757.
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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 45-54 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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