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 Series Title: Number At work part-time, usually work part-timeEconomic reasons 30-34 hours 55-64 yrs. Male: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2003 02  1331·
 2003 01  7830·
 2002 12 5943.
 2002 11 1234.
 2002 10 2134·
 2002 09 7220.
 2002 08 5223·
 2002 07 7723·
 2002 06 4723.
 2002 05 1526.
 2002 04 9625.
 2002 03 9220·
 2002 02 3822·
 2002 01 8721.
 2001 12  514.
 2001 11  9925.
 2001 10  7220.
 2001 09  9618.
 2001 08  157.
 2001 07  689·
 2001 06  495.
 2001 05  7411·
 2001 04  8913.
 2001 03  9418.
 2001 02  933.
 2001 01  777·
 2000 12 1614·
 2000 11 947·
 2000 10 5616·
 2000 09 8628·
 2000 08 818·
 2000 07 1413.
 2000 06 126.
 2000 05 97·
 2000 04 47·
 2000 03 2235.
 2000 02 637.
 2000 01 7614.
 1999 12  6612·
 1999 11  139·
 1999 09  3314.
 1999 08  4622·
 1999 07  8124.
 1999 06  628.
 1999 05  7319.
 1999 04  9821.
 1999 03  6439.
 1999 02  4520.
 1999 01  58
 1998 12 4011.
 1998 11 5131·
 1998 10 9912.
 1998 09 887.
 1998 08 413.
 1998 07 723·
 1998 06 6222.
 1998 05 9017·
 1998 04 4614.
 1998 03 1723.
 1998 02 535·
 1998 01 136·
 1997 12  4812.
 1997 11  9727.
 1997 10  1719.
 1997 09  3315.
 1997 08  1626·
 1997 07  8222.
 1997 06  2216·
 1997 05  5016.
 1997 04  8230.
 1997 03  3717.
 1997 02  6326.
 1997 01  9017.
 1996 12 316·
 1996 11 4911.
 1996 10 6016.
 1996 09 38.
 1996 08 6117.
 1996 07 3127·
 1996 06 5523·
 1996 05 6419·
 1996 04 6118.
 1996 03 2221·
 1996 02 1812·
 1996 01 7329.
 1995 12  3619.
 1995 11  8215.
 1995 10  4427·
 1995 09  5724.
 1995 08  4222·
 1995 07  220·
 1995 06  5115.
 1995 05  6615·
 1995 04  6126.
 1995 03  9320.
 1995 02  8426.
 1995 01  7433·
 1994 12 028.
 1994 11 9418.
 1994 10 1215·
 1994 09 8314·
 1994 08 9018.
 1994 07 6720.
 1994 06 2829.
 1994 05 1813·
 1994 04 8814·
 1994 03 120·
 1994 02 5314·
 1994 01 2824.
 1993 12  7515·
 1993 11  723·
 1993 10  2918.
 1993 09  9025.
 1993 08  5926·
 1993 07  2527·
 1993 06  2732.
 1993 05  435·
 1993 04  7023.
 1993 03  1632.
 1993 02  4123.
 1993 01  9533·
 1992 12 6523.
 1992 11 7015.
 1992 10 8924.
 1992 09 1434·
 1992 08 2740.
 1992 07 9823·
 1992 06 1617·
 1992 05 3623·
 1992 04 6140.
 1992 03 3936.
 1992 02 9037.
 1992 01 6231.
 1991 12  024.
 1991 11  5528·
 1991 10  721.
 1991 09  1628.
 1991 08  028.
 1991 07  3540.
 1991 06  8519.
 1991 05  4937·
 1991 04  4234·
 1991 03  9119·
 1991 02  6815·
 1991 01  3820·
 1990 12 3327·
 1990 11 6125.
 1990 10 2625·
 1990 09 8132·
 1990 08 639·
 1990 07 923·
 1990 06 5222.
 1990 05 420.
 1990 04 1624·
 1990 03 2119.
 1990 02 6615.
 1990 01 5818.
 1989 12  4517·
 1989 11  1116·
 1989 10  1223.
 1989 09  1918·
 1989 08  9923.
 1989 07  1721.
 1989 06  5915.
 1989 05  8618.
 1989 04  1218·
 1989 03  230.
 1989 02  119·
 1989 01  8518·
 1988 12 3811.
 1988 11 5319.
 1988 10 5726·
 1988 09 6620·
 1988 08 6016.
 1988 07 8328·
 1988 06 7229·
 1988 05 612.
 1988 04 8534·
 1988 03 3128·
 1988 02 1418.
 1988 01 322.
 1987 12  4318·
 1987 11  5921.
 1987 10  7824·
 1987 09  8432.
 1987 08  9320·
 1987 07  5526·
 1987 06  8338.
 1987 05  9821·
 1987 04  1430·
 1987 03  3225.
 1987 02  7324.
 1987 01  2217.
 1986 12 1535.
 1986 11 2820·
 1986 10 1714·
 1986 09 5629·
 1986 08 2620.
 1986 07 627·
 1986 06 914.
 1986 05 2528.
 1986 04 426·
 1986 03 5419.
 1986 02 6811·
 1986 01 7921·
 1985 12  3125.
 1985 11  8427·
 1985 10  4033.
 1985 09  9423·
 1985 08  1328.
 1985 07  3435·
 1985 06  9135·
 1985 05  7132.
 1985 04  8313·
 1985 03  6829·
 1985 02  1823.
 1985 01  3426.
 1984 12 9726·
 1984 11 7330.
 1984 10 3915·
 1984 09 3420.
 1984 08 3627.
 1984 07 6234.
 1984 06 9837.
 1984 05 4632.
 1984 04 731.
 1984 03 7320.
 1984 02 6428.
 1984 01 7231·
 1983 12  4133·
 1983 11  6931·
 1983 10  3128.
 1983 09  3518.
 1983 08  9613·
 1983 07  3824·
 1983 06  1933·
 1983 05  8827.
 1983 04  5312.
 1983 03  9228·
 1983 02  7234·
 1983 01  442·
 1982 12 1924·
 1982 11 7022·
 1982 10 5828.
 1982 09 8425·
 1982 08 2526.
 1982 07 3524.
 1982 06 7333.
 1982 05 5530.
 1982 04 2825·
 1982 03 7325.
 1982 02 3418.
 1982 01 6513·
 1981 12  928.
 1981 11  023·
 1981 10  8722·
 1981 09  9123·
 1981 08  7622·
 1981 07  5130.
 1981 06  022.
 1981 05  3328·
 1981 04  5932.
 1981 03  9023·
 1981 02  6818·
 1981 01  179·
 1980 12 1610.
 1980 11 515·
 1980 10 1017·
 1980 09 9222.
 1980 08 2826.
 1980 07 925·
 1980 06 6929.
 1980 05 3426·
 1980 04 113.
 1980 03 3921.
 1980 02 1520.
 1980 01 449·
 1979 12  689.
 1979 11  6018·
 1979 10  4210.
 1979 09  4624.
 1979 08  869·
 1979 07  5720.
 1979 06  6920·
 1979 05  9216.
 1979 04  3421.
 1979 03  4516·
 1979 02  4110.
 1979 01  579·
 1978 12 216·
 1978 11 6213.
 1978 10 277·
 1978 09 4016.
 1978 08 795·
 1978 07 6912·
 1978 06 2014.
 1978 05 6915·
 1978 04 629.
 1978 03 559·
 1978 02 3915·
 1978 01 92
 1977 12  5414.
 1977 11  3413·
 1977 10  30
 1977 09  8510·
 1977 08  6112·
 1977 07  4222·
 1977 06  6121·
 1977 05  4917·
 1977 04  1410.
 1977 03  4315.
 1977 02  2613·
 1977 01  93.
 1976 12 7010·
 1976 11 249·
 1976 10 449.
 1976 09 1522.
 1976 08 126.
 1976 07 9919·
 1976 06 6018·
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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 55-64 yrs. Male: 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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