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 Series Title: Number At work part-time, usually work full-timeEconomic reasons 30-34 hours 55-64 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  1239·
 2003 01  4797.
 2002 12 9068·
 2002 11 3177.
 2002 10 8661·
 2002 09 6990.
 2002 08 192·
 2002 07 2990.
 2002 06 8253·
 2002 05 4761·
 2002 04 69105.
 2002 03 8173·
 2002 02 5173.
 2002 01 6077.
 2001 12  856·
 2001 11  3374.
 2001 10  6883·
 2001 09  1766·
 2001 08  5447·
 2001 07  5268·
 2001 06  3476·
 2001 05  4848·
 2001 04  7167.
 2001 03  3472·
 2001 02  7460·
 2001 01  1179.
 2000 12 4765.
 2000 11 9857.
 2000 10 3955.
 2000 09 8650·
 2000 08 9559·
 2000 07 8740·
 2000 06 443·
 2000 05 8143.
 2000 04 5263.
 2000 03 7144.
 2000 02 6962·
 2000 01 2789.
 1999 12  8148.
 1999 11  4348·
 1999 10  5936·
 1999 09  8132·
 1999 08  7154·
 1999 07  2445.
 1999 06  2632.
 1999 05  2557.
 1999 04  3348.
 1999 03  5752.
 1999 02  4556·
 1999 01  6569·
 1998 12 747.
 1998 11 1149·
 1998 10 1525.
 1998 09 3228.
 1998 08 5552.
 1998 07 8164·
 1998 06 6246·
 1998 05 8441.
 1998 04 6559.
 1998 03 8638·
 1998 02 3759·
 1998 01 253.
 1997 12  4952·
 1997 11  6963·
 1997 10  1652·
 1997 09  9243·
 1997 08  4766·
 1997 07  047·
 1997 06  9745.
 1997 05  8748·
 1997 04  1956.
 1997 03  7371.
 1997 02  864·
 1997 01  4378.
 1996 12 5537.
 1996 11 747·
 1996 10 9856.
 1996 09 4254·
 1996 08 6779·
 1996 07 4647·
 1996 06 4247·
 1996 05 8971.
 1996 04 9450.
 1996 03 6068·
 1996 02 4185.
 1996 01 1857.
 1995 12  9757.
 1995 11  4236.
 1995 10  2155.
 1995 09  8464·
 1995 08  6664·
 1995 07  1361·
 1995 06  3247·
 1995 05  6948·
 1995 04  1256.
 1995 03  1556·
 1995 02  4867·
 1995 01  8059.
 1994 12 7538.
 1994 11 1849·
 1994 10 7245.
 1994 09 4938·
 1994 08 1557.
 1994 07 1659.
 1994 06 2753·
 1994 05 3250·
 1994 04 2339.
 1994 03 2968·
 1994 02 6535.
 1994 01 1051·
 1993 12  1082.
 1993 11  047.
 1993 10  6065·
 1993 09  9154.
 1993 08  1477.
 1993 07  9871·
 1993 06  1467.
 1993 05  668·
 1993 04  9875·
 1993 03  1854.
 1993 02  5152.
 1993 01  1163·
 1992 12 5061·
 1992 11 7965·
 1992 10 2269·
 1992 09 8954·
 1992 08 8451.
 1992 07 2565.
 1992 06 262·
 1992 05 4550·
 1992 04 3659.
 1992 03 2688·
 1992 02 9282·
 1992 01 1387.
 1991 12  7076.
 1991 11  7466.
 1991 10  1765·
 1991 09  4787.
 1991 08  7462.
 1991 07  9050.
 1991 06  2781.
 1991 05  3176.
 1991 04  6095·
 1991 03  17113·
 1991 02  99114·
 1991 01  6964.
 1990 12 6789·
 1990 11 2698.
 1990 10 31101.
 1990 09 9582.
 1990 08 5767.
 1990 07 973.
 1990 06 5170·
 1990 05 6569.
 1990 04 1849·
 1990 03 8567·
 1990 02 762.
 1990 01 6092·
 1989 12  6371·
 1989 11  159·
 1989 10  7657.
 1989 09  8860.
 1989 08  3057·
 1989 07  2351·
 1989 06  5769·
 1989 05  7879·
 1989 04  8384.
 1989 03  4736·
 1989 02  7782·
 1989 01  9086.
 1988 12 855.
 1988 11 9170·
 1988 10 8661.
 1988 09 355·
 1988 08 1839.
 1988 07 058·
 1988 06 5853.
 1988 05 2545·
 1988 04 5356.
 1988 03 4386.
 1988 02 9586·
 1988 01 8767.
 1987 12  7379·
 1987 11  1363·
 1987 10  2256.
 1987 09  4646·
 1987 08  6866.
 1987 07  3190.
 1987 06  8841.
 1987 05  8459·
 1987 04  5163.
 1987 03  4077.
 1987 02  7178.
 1987 01  675.
 1986 12 5873·
 1986 11 1074.
 1986 10 6963.
 1986 09 4670·
 1986 08 5481.
 1986 07 3359.
 1986 06 973.
 1986 05 5972·
 1986 04 2566.
 1986 03 3164.
 1986 02 4066·
 1986 01 2786.
 1985 12  8597·
 1985 11  4754·
 1985 10  3861·
 1985 09  5768·
 1985 08  7273·
 1985 07  4957.
 1985 06  457.
 1985 05  8166·
 1985 04  4864.
 1985 03  3275.
 1985 02  6363·
 1985 01  5483.
 1984 12 2104·
 1984 11 1666·
 1984 10 6569·
 1984 09 5994.
 1984 08 4753.
 1984 07 4441.
 1984 06 8652.
 1984 05 262·
 1984 04 1947·
 1984 03 8653.
 1984 02 2675.
 1984 01 1682·
 1983 12  8381.
 1983 11  3580.
 1983 10  1066·
 1983 09  5677·
 1983 08  2577·
 1983 07  1169·
 1983 06  9096.
 1983 05  474·
 1983 04  60112.
 1983 03  5892.
 1983 02  39111.
 1983 01  67124.
 1982 12 25117·
 1982 11 45146·
 1982 10 59151·
 1982 09 76134.
 1982 08 82102·
 1982 07 6695.
 1982 06 75120·
 1982 05 89136·
 1982 04 19137·
 1982 03 41129.
 1982 02 38151.
 1982 01 8690·
 1981 12  51120·
 1981 11  13105·
 1981 10  2282.
 1981 09  7540·
 1981 08  1356.
 1981 07  5166.
 1981 06  2968·
 1981 05  8774·
 1981 04  7053.
 1981 03  5191·
 1981 02  8390.
 1981 01  79100·
 1980 12 979·
 1980 11 3063.
 1980 10 3588.
 1980 09 3286·
 1980 08 4390.
 1980 07 3390·
 1980 06 61102·
 1980 05 53109.
 1980 04 1081.
 1980 03 3076·
 1980 02 6065.
 1980 01 7454.
 1979 12  7365.
 1979 11  1452.
 1979 10  5834.
 1979 09  5157·
 1979 08  2072·
 1979 07  455·
 1979 06  662.
 1979 05  6655·
 1979 04  6380.
 1979 03  4538·
 1979 02  7952.
 1979 01  2552·
 1978 12 4143.
 1978 11 641.
 1978 10 7740.
 1978 09 6155·
 1978 08 1661.
 1978 07 8166.
 1978 06 2655·
 1978 05 2940·
 1978 04 7652·
 1978 03 8946·
 1978 02 7660·
 1978 01 1259·
 1977 12  3562·
 1977 11  7442.
 1977 10  347·
 1977 09  1634.
 1977 08  2935·
 1977 07  566.
 1977 06  657.
 1977 05  7350·
 1977 04  2350.
 1977 03  7772·
 1977 02  1288.
 1977 01  4073·
 1976 12 360.
 1976 11 863·
 1976 10 7056·
 1976 09 9774.
 1976 08 8369·
 1976 07 4351·
 1976 06 5775·
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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 55-64 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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