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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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 2003 02  80202.
 2003 01  25183.
 2002 12 88160.
 2002 11 5133·
 2002 10 32151.
 2002 09 31173.
 2002 08 63199·
 2002 07 20171.
 2002 06 76153.
 2002 05 60152·
 2002 04 63227.
 2002 03 59191.
 2002 02 61190.
 2002 01 95212·
 2001 12  2192·
 2001 11  66218·
 2001 10  63229·
 2001 09  41199.
 2001 08  18129·
 2001 07  10136.
 2001 06  83151.
 2001 05  31138·
 2001 04  73141.
 2001 03  85188·
 2001 02  46160.
 2001 01  21184.
 2000 12 56157.
 2000 11 10163·
 2000 10 2128·
 2000 09 92137·
 2000 08 79130·
 2000 07 29126·
 2000 06 27136.
 2000 05 52123.
 2000 04 81136·
 2000 03 12116.
 2000 02 21150.
 2000 01 32127.
 1999 12  23134·
 1999 11  53134·
 1999 10  9113.
 1999 09  88130·
 1999 08  95126.
 1999 07  70129.
 1999 06  42140·
 1999 05  2122.
 1999 04  8142·
 1999 03  8164·
 1999 02  96179·
 1999 01  82159.
 1998 12 2161.
 1998 11 3784.
 1998 10 70150.
 1998 09 58107·
 1998 08 38165.
 1998 07 49153.
 1998 06 90121.
 1998 05 87183.
 1998 04 4140·
 1998 03 65153·
 1998 02 6192.
 1998 01 51212·
 1997 12  14160·
 1997 11  29149.
 1997 10  94121.
 1997 09  56146·
 1997 08  6130·
 1997 07  9171·
 1997 06  55126·
 1997 05  34160.
 1997 04  42220·
 1997 03  0160·
 1997 02  13198.
 1997 01  43166.
 1996 12 10151.
 1996 11 21171·
 1996 10 19153.
 1996 09 62144.
 1996 08 23163·
 1996 07 15148·
 1996 06 48154·
 1996 05 0146·
 1996 04 19199·
 1996 03 53167·
 1996 02 2181.
 1996 01 87159.
 1995 12  60205.
 1995 11  29174.
 1995 10  4137·
 1995 09  80190·
 1995 08  36190.
 1995 07  61170·
 1995 06  6169·
 1995 05  61195.
 1995 04  58164·
 1995 03  93197.
 1995 02  82160·
 1995 01  37246.
 1994 12 65148·
 1994 11 95127.
 1994 10 35167.
 1994 09 39145·
 1994 08 19140·
 1994 07 61165·
 1994 06 87170.
 1994 05 24155·
 1994 04 8170·
 1994 03 10213·
 1994 02 91157.
 1994 01 74194.
 1993 12  45242·
 1993 11  87302·
 1993 10  22229.
 1993 09  94282·
 1993 08  69223·
 1993 07  59291·
 1993 06  79260·
 1993 05  17341.
 1993 04  41238·
 1993 03  23295.
 1993 02  89337.
 1993 01  0293·
 1992 12 51278.
 1992 11 95297.
 1992 10 1292·
 1992 09 24219.
 1992 08 10244.
 1992 07 22231.
 1992 06 91358·
 1992 05 95282·
 1992 04 56291.
 1992 03 71316·
 1992 02 60399.
 1992 01 46376.
 1991 12  54361·
 1991 11  37361.
 1991 10  33396·
 1991 09  33264.
 1991 08  89298·
 1991 07  40297.
 1991 06  60264·
 1991 05  37274·
 1991 04  76318·
 1991 03  23365.
 1991 02  16382.
 1991 01  66335·
 1990 12 52306.
 1990 11 55292·
 1990 10 3243.
 1990 09 50269.
 1990 08 80279.
 1990 07 31233·
 1990 06 44245·
 1990 05 47221.
 1990 04 49217.
 1990 03 69312.
 1990 02 92281·
 1990 01 38322.
 1989 12  70231.
 1989 11  15246·
 1989 10  21248.
 1989 09  30231.
 1989 08  81234·
 1989 07  36267·
 1989 06  31208·
 1989 05  55233.
 1989 04  47277.
 1989 03  28293.
 1989 02  49226.
 1989 01  68260.
 1988 12 54238·
 1988 11 9228·
 1988 10 23194.
 1988 09 52225·
 1988 08 15239.
 1988 07 23240·
 1988 06 31274.
 1988 05 14299.
 1988 04 69272·
 1988 03 40275·
 1988 02 72289·
 1988 01 85266·
 1987 12  78228·
 1987 11  53253.
 1987 10  71215.
 1987 09  21157·
 1987 08  30236·
 1987 07  83263·
 1987 06  79221.
 1987 05  5197·
 1987 04  38247.
 1987 03  72271.
 1987 02  71289·
 1987 01  42233.
 1986 12 40213·
 1986 11 91232.
 1986 10 48259.
 1986 09 65258·
 1986 08 98261·
 1986 07 33266.
 1986 06 35233.
 1986 05 31313·
 1986 04 1271.
 1986 03 17217.
 1986 02 83242.
 1986 01 20280·
 1985 12  62213.
 1985 11  88234·
 1985 10  67218.
 1985 09  39229·
 1985 08  19228.
 1985 07  14232·
 1985 06  86262·
 1985 05  21272·
 1985 04  33216·
 1985 03  91263.
 1985 02  68233.
 1985 01  22256.
 1984 12 94227.
 1984 11 36249·
 1984 10 61211.
 1984 09 23229·
 1984 08 14248.
 1984 07 94205·
 1984 06 42251·
 1984 05 31220·
 1984 04 31217.
 1984 03 35223·
 1984 02 11236·
 1984 01 78280·
 1983 12  8256.
 1983 11  52245.
 1983 10  93239.
 1983 09  20197·
 1983 08  32226·
 1983 07  65215·
 1983 06  38287·
 1983 05  39257·
 1983 04  18292.
 1983 03  17283·
 1983 02  23292.
 1983 01  42356·
 1982 12 2382.
 1982 11 78293·
 1982 10 47320·
 1982 09 60325·
 1982 08 47287·
 1982 07 42302.
 1982 06 36299.
 1982 05 50302·
 1982 04 42324.
 1982 03 28318.
 1982 02 39347·
 1982 01 93230·
 1981 12  98323.
 1981 11  81228·
 1981 10  34292·
 1981 09  97211·
 1981 08  56242.
 1981 07  68208·
 1981 06  19199.
 1981 05  92214·
 1981 04  76187.
 1981 03  86241.
 1981 02  21222·
 1981 01  36219·
 1980 12 47234·
 1980 11 52237.
 1980 10 89196·
 1980 09 10185.
 1980 08 81234·
 1980 07 11200.
 1980 06 0279·
 1980 05 21269·
 1980 04 18243.
 1980 03 31198·
 1980 02 53197·
 1980 01 0192.
 1979 12  19198·
 1979 11  8212·
 1979 10  74154.
 1979 09  5165·
 1979 08  72182·
 1979 07  60135.
 1979 06  13167.
 1979 05  15157·
 1979 04  91172.
 1979 03  32211·
 1979 02  46190.
 1979 01  40141.
 1978 12 13124.
 1978 11 91136.
 1978 10 73135.
 1978 09 9147.
 1978 08 2155·
 1978 07 34128·
 1978 06 20170.
 1978 05 80138·
 1978 04 44138·
 1978 03 78203.
 1978 02 36160·
 1978 01 34130·
 1977 12  53167·
 1977 11  69150·
 1977 10  98149·
 1977 09  77132.
 1977 08  67135·
 1977 07  74136·
 1977 06  5159.
 1977 05  43167.
 1977 04  49143.
 1977 03  89142·
 1977 02  83203.
 1977 01  86126.
 1976 12 86121.
 1976 11 32143·
 1976 10 83123.
 1976 09 90150.
 1976 08 92135.
 1976 07 47144.
 1976 06 79132·
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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 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
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