Economagic.com: Economic Time Series Page
 Browse Data Titles  |  Charts  |  Excel  |  Reports  |  Search  |  Maps & Movies  |  Help
 Subscriber Login  |  Subscription Info  |  Turn Advanced Features On  |  Change Defaults

 Series Title: Number At work part-time, usually work full-timeEconomic reasons 30-34 hours 16-17 yrs.: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  Reverse this series  |  Data set page
Link to Series in Level 1 Subscription Site
Link to Series in Level 2 Subscription Site
Link to Series in Level 0 Subscription Site
Go to end of data set
 1976 06 9128·
 1976 07 8529·
 1976 08 6132.
 1976 09 8410.
 1976 10 446.
 1976 11 316·
 1976 12 399.
 1977 01  924·
 1977 02  9411·
 1977 03  68·
 1977 04  4914.
 1977 05  3021.
 1977 06  9226·
 1977 07  9334·
 1977 08  439·
 1977 09  4219·
 1977 10  1412·
 1977 11  9718.
 1977 12  437·
 1978 01 970·
 1978 02 596·
 1978 03 528.
 1978 04 276·
 1978 05 9014·
 1978 06 5441·
 1978 07 1241·
 1978 08 4441·
 1978 09 398·
 1978 10 480·
 1978 11 6120.
 1978 12 98.
 1979 01  896·
 1979 02  1710.
 1979 03  48.
 1979 04  57
 1979 05  81.
 1979 06  6137.
 1979 07  7329.
 1979 08  5311·
 1979 09  915·
 1979 10  67·
 1979 11  258·
 1979 12  8515·
 1980 01 5812·
 1980 02 216·
 1980 03 429.
 1980 04 6511·
 1980 05 5111·
 1980 06 2524.
 1980 07 2923.
 1980 08 3028·
 1980 09 4111.
 1980 10 746.
 1980 11 2017.
 1980 12 45
 1981 01  216·
 1981 02  76
 1981 03  702.
 1981 04  968·
 1981 05  115.
 1981 06  8027·
 1981 07  6131.
 1981 08  9823.
 1981 10  558·
 1981 11  633.
 1981 12  99
 1982 01 875·
 1982 02 216·
 1982 03 2410.
 1982 04 1710.
 1982 05 26
 1982 06 515.
 1982 07 8922·
 1982 08 7121.
 1982 09 412·
 1982 10 2412.
 1982 11 87.
 1982 12 433·
 1983 01  336.
 1983 02  244.
 1983 03  564.
 1983 04  3824.
 1983 05  515·
 1983 06  7424.
 1983 07  3523.
 1983 08  9017·
 1983 09  224·
 1983 10  673·
 1983 11  691.
 1984 01 545·
 1984 02 328·
 1984 03 236·
 1984 04 91·
 1984 05 133·
 1984 06 9530.
 1984 07 8537.
 1984 08 3015·
 1984 09 727.
 1984 10 492·
 1984 11 243·
 1984 12 334·
 1985 01  633.
 1985 02  577.
 1985 03  336·
 1985 04  42
 1985 05  449.
 1985 06  623·
 1985 07  3118.
 1985 08  910·
 1985 09  962·
 1985 10  911.
 1985 11  625.
 1985 12  95·
 1986 01 244·
 1986 02 510.
 1986 03 967.
 1986 05 422·
 1986 06 6225.
 1986 07 5613.
 1986 08 2719.
 1986 09 334·
 1986 10 664.
 1986 11 513·
 1986 12 744.
 1987 01  334.
 1987 02  164.
 1987 03  11.
 1987 04  803·
 1987 05  187·
 1987 06  2113.
 1987 07  4526·
 1987 08  1633.
 1987 09  876·
 1987 10  125.
 1987 11  466.
 1987 12  757·
 1988 01 668.
 1988 02 44
 1988 03 913.
 1988 04 762·
 1988 05 64·
 1988 06 026·
 1988 07 9427·
 1988 08 6426.
 1988 09 82
 1988 10 878·
 1988 11 933·
 1988 12 85·
 1989 03  94
 1989 04  365.
 1989 05  491.
 1989 06  215.
 1989 07  6812.
 1989 08  431·
 1989 09  521.
 1989 10  645.
 1989 11  533.
 1990 01 722.
 1990 02 159.
 1990 03 4011·
 1990 04 2614·
 1990 05 486.
 1990 06 7418.
 1990 07 9830·
 1990 08 879.
 1990 09 625·
 1990 10 931·
 1990 11 325·
 1990 12 6110·
 1991 02  712·
 1991 03  602.
 1991 04  621.
 1991 06  9913·
 1991 07  5713·
 1991 08  8715.
 1991 09  315.
 1991 10  763·
 1991 11  274·
 1991 12  132.
 1992 01 94·
 1992 02 923·
 1992 03 12
 1992 05 13·
 1992 06 9113.
 1992 07 7334.
 1992 08 6912·
 1992 09 372·
 1992 10 941·
 1992 11 699.
 1992 12 801.
 1993 01  372.
 1993 02  649·
 1993 03  552·
 1993 04  5115.
 1993 05  369·
 1993 06  6925.
 1993 07  3319.
 1993 08  1416.
 1993 10  985·
 1993 11  33.
 1993 12  275.
 1994 01 258.
 1994 02 113.
 1994 03 866·
 1994 05 886.
 1994 06 6613.
 1994 07 8828.
 1994 08 6211·
 1994 09 901.
 1994 10 441·
 1994 11 675.
 1994 12 03·
 1995 01  360.
 1995 04  900.
 1995 05  107·
 1995 06  9418.
 1995 07  4922.
 1995 08  6218·
 1995 10  62·
 1995 11  637·
 1996 01 802·
 1996 03 401.
 1996 04 670.
 1996 05 526.
 1996 06 57·
 1996 07 319.
 1996 08 3115·
 1996 09 292·
 1996 10 250.
 1996 11 68
 1996 12 628.
 1997 01  89
 1997 04  632·
 1997 05  62.
 1997 06  4617.
 1997 07  5020·
 1997 08  728.
 1997 09  272.
 1997 11  970·
 1997 12  584.
 1998 01 261.
 1998 02 385·
 1998 03 548·
 1998 05 801·
 1998 06 257.
 1998 07 706.
 1998 08 788.
 1998 11 121.
 1998 12 9511·
 1999 02  813·
 1999 03  572·
 1999 04  722.
 1999 05  874·
 1999 06  5216.
 1999 07  57.
 1999 08  525.
 1999 09  763.
 1999 11  896.
 1999 12  605·
 2000 01 791·
 2000 03 622.
 2000 04 241·
 2000 05 837.
 2000 06 8914.
 2000 07 7017·
 2000 08 1320.
 2000 09 646.
 2000 10 540.
 2000 11 524·
 2000 12 393.
 2001 01  155.
 2001 02  182.
 2001 04  812·
 2001 05  93.
 2001 06  7411·
 2001 07  5019·
 2001 08  6012.


 2001 09  526·
 2001 10  31·
 2001 11  454.
 2001 12  131·
 2002 01 27
 2002 02 922·
 2002 03 212.
 2002 04 907·
 2002 05 1513·
 2002 06 5217·
 2002 07 2212.
 2002 08 675.
 2002 10 234.
 2003 01  211·
 2003 02  194.

Similar Series

Skip to Data / More Chart Options

US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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 16-17 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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

Sites of Interest: Conerly Consulting: Economics for Business Decisions * GGG Marketing SEO Experts * homes for sale - Pelican Marsh * Naples Luxury Real Estate Communities *

 Subscriber Login  |  Subscription Info  |  Turn Advanced Features On  |  Change Defaults  |  Disclaimer
 Browse Data Titles  |  Charts  |  Excel  |  Reports  |  Search  |  Maps & Movies  |  Help  |  About  |  Contact Us
 Economagic.com: Economic Time Series Page
Sitemap