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 Series Title: Number At work part-time, usually work full-timeEconomic reasons 30-34 hours 20-24 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  23108.
 2003 01  36144.
 2002 12 85108.
 2002 11 51113·
 2002 10 4594.
 2002 09 7593·
 2002 08 54131·
 2002 07 2490·
 2002 06 8101.
 2002 05 86128.
 2002 04 9877.
 2002 03 70102·
 2002 02 62121.
 2002 01 53110.
 2001 12  3292.
 2001 11  34112.
 2001 10  8487.
 2001 09  8192·
 2001 08  9252·
 2001 07  8496.
 2001 06  74101.
 2001 05  3102.
 2001 04  4278·
 2001 03  1681.
 2001 02  5663·
 2001 01  7589.
 2000 12 6978·
 2000 11 48103·
 2000 10 8249.
 2000 09 7866.
 2000 08 8789.
 2000 07 2559.
 2000 06 2683·
 2000 05 20103.
 2000 04 3371.
 2000 03 1596·
 2000 02 8988·
 2000 01 3280·
 1999 12  7074.
 1999 11  1269.
 1999 10  9781·
 1999 09  7054·
 1999 08  8686.
 1999 07  3758.
 1999 06  097·
 1999 05  1770.
 1999 04  9469·
 1999 03  3289.
 1999 02  73102.
 1999 01  7848·
 1998 12 3260.
 1998 11 6876·
 1998 10 1677·
 1998 09 8648.
 1998 08 6373.
 1998 07 37112·
 1998 06 5654·
 1998 05 9766.
 1998 04 7474.
 1998 03 6077·
 1998 02 4261.
 1998 01 9382.
 1997 12  7986.
 1997 11  8171·
 1997 10  5055.
 1997 09  8081·
 1997 08  1574.
 1997 07  6878.
 1997 06  8083.
 1997 05  9170·
 1997 04  4583·
 1997 03  1669·
 1997 02  5793·
 1997 01  8175.
 1996 12 5789·
 1996 11 4481·
 1996 10 33100·
 1996 09 3269·
 1996 08 6577·
 1996 07 9564.
 1996 06 8295.
 1996 05 5256·
 1996 04 585·
 1996 03 41109.
 1996 02 492·
 1996 01 7171.
 1995 12  4255.
 1995 11  7359.
 1995 10  2683·
 1995 09  4685·
 1995 08  62113.
 1995 07  1286·
 1995 06  9893·
 1995 05  60114.
 1995 04  7886.
 1995 03  160·
 1995 02  94108.
 1995 01  18107.
 1994 12 3076·
 1994 11 1055·
 1994 10 1659.
 1994 09 5261·
 1994 08 7881.
 1994 07 3474·
 1994 06 8884·
 1994 05 1955.
 1994 04 1268·
 1994 03 9091.
 1994 02 6190·
 1994 01 081·
 1993 12  44102.
 1993 11  2395·
 1993 10  11115.
 1993 09  3114.
 1993 08  12148·
 1993 07  3126.
 1993 06  38159·
 1993 05  58100.
 1993 04  79131·
 1993 03  23134·
 1993 02  67125.
 1993 01  23145.
 1992 12 33140.
 1992 11 3137·
 1992 10 49150.
 1992 09 7872.
 1992 08 86148.
 1992 07 86177.
 1992 06 59165.
 1992 05 32168.
 1992 04 78112.
 1992 03 42115.
 1992 02 97125·
 1992 01 15178.
 1991 12  69174.
 1991 11  66130.
 1991 10  90140·
 1991 09  83137·
 1991 08  49171·
 1991 07  75163·
 1991 06  86158·
 1991 05  20134·
 1991 04  31125.
 1991 03  15185.
 1991 02  62182.
 1991 01  30173.
 1990 12 52149·
 1990 11 54156·
 1990 10 18145.
 1990 09 47104.
 1990 08 74150·
 1990 07 87168.
 1990 06 79149.
 1990 05 26124·
 1990 04 87124·
 1990 03 33166·
 1990 02 97151·
 1990 01 49131·
 1989 12  3108.
 1989 11  35102·
 1989 10  45127·
 1989 09  2399·
 1989 08  59123.
 1989 07  64131.
 1989 06  25140.
 1989 05  80108·
 1989 04  1998·
 1989 03  13106·
 1989 02  62140.
 1989 01  75153·
 1988 12 70122·
 1988 11 0127.
 1988 10 699.
 1988 09 91157.
 1988 08 26128·
 1988 07 72168.
 1988 06 33123·
 1988 05 35130·
 1988 04 24144·
 1988 03 96159.
 1988 02 43144.
 1988 01 38126.
 1987 12  28133.
 1987 11  66128·
 1987 10  62125·
 1987 09  56125.
 1987 08  24137.
 1987 07  3147·
 1987 06  40133·
 1987 05  72120.
 1987 04  2796.
 1987 03  49116.
 1987 02  51114·
 1987 01  91141·
 1986 12 73112.
 1986 11 75133·
 1986 10 98122·
 1986 09 46131.
 1986 08 26129·
 1986 07 74148.
 1986 06 5116.
 1986 05 94139·
 1986 04 74144.
 1986 03 65130·
 1986 02 22125.
 1986 01 15133.
 1985 12  30141.
 1985 11  93154.
 1985 10  25123·
 1985 09  17125·
 1985 08  30140.
 1985 07  26108.
 1985 06  14124.
 1985 05  31159.
 1985 04  40131.
 1985 03  60121.
 1985 02  15110.
 1985 01  13151.
 1984 12 45153.
 1984 11 12132·
 1984 10 78137·
 1984 09 46135·
 1984 08 59176·
 1984 07 27128.
 1984 06 79153.
 1984 05 36128·
 1984 04 21116·
 1984 03 75123·
 1984 02 17161·
 1984 01 15156.
 1983 12  92150·
 1983 11  49145·
 1983 10  18150·
 1983 09  39165·
 1983 08  61122.
 1983 07  69146·
 1983 06  33154·
 1983 05  91156.
 1983 04  41148.
 1983 03  78141.
 1983 02  38187·
 1983 01  75215·
 1982 12 70151·
 1982 11 46156.
 1982 10 31146.
 1982 09 25217·
 1982 08 10211·
 1982 07 67174.
 1982 06 39208.
 1982 05 97185.
 1982 04 49188.
 1982 03 61197.
 1982 02 13159·
 1982 01 73138·
 1981 12  0174·
 1981 11  70154.
 1981 10  27149·
 1981 09  59110·
 1981 08  2165.
 1981 07  65167.
 1981 06  81145·
 1981 05  86148·
 1981 04  16123·
 1981 03  39165·
 1981 02  3150.
 1981 01  12172·
 1980 12 32144.
 1980 11 12129·
 1980 10 41125.
 1980 09 18157.
 1980 08 61145·
 1980 07 28174·
 1980 06 71197·
 1980 05 11175·
 1980 04 42128·
 1980 03 56137·
 1980 02 93148·
 1980 01 22151.
 1979 12  38126·
 1979 11  90116·
 1979 10  34129·
 1979 09  8123·
 1979 08  36170·
 1979 07  49130.
 1979 06  43140.
 1979 05  51130·
 1979 04  4996·
 1979 03  77154·
 1979 02  95115·
 1979 01  58103·
 1978 12 16131.
 1978 11 44124·
 1978 10 92103·
 1978 09 59131.
 1978 08 99134.
 1978 07 44123·
 1978 06 58124·
 1978 05 12107.
 1978 04 8598.
 1978 03 95141·
 1978 02 44100·
 1978 01 98108·
 1977 12  89103.
 1977 11  42102·
 1977 10  25101·
 1977 09  24112·
 1977 08  48105.
 1977 07  55107·
 1977 06  2133·
 1977 05  21126.
 1977 04  2492.
 1977 03  2690.
 1977 02  99118·
 1977 01  46108·
 1976 12 677·
 1976 11 7698·
 1976 10 68129.
 1976 09 82108.
 1976 08 6134.
 1976 07 4991.
 1976 06 84120·
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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 20-24 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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