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: Employment Level: Nonagriculture, Unpaid Family Workers, 20-24 years, Women: NSA
   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 9821·
 1976 07 2316·
 1976 08 2316.
 1976 09 3616·
 1976 10 2816.
 1976 11 6513·
 1976 12 1612·
 1977 01  787.
 1977 02  3112.
 1977 03  1224.
 1977 04  1620·
 1977 05  2515.
 1977 06  5719.
 1977 07  4512.
 1977 08  3713·
 1977 09  2115.
 1977 10  8215·
 1977 11  7119.
 1977 12  1512·
 1978 01 359.
 1978 02 510.
 1978 03 2220·
 1978 04 1420·
 1978 05 6224.
 1978 06 5222.
 1978 07 5422.
 1978 08 2217·
 1978 09 2020·
 1978 10 7417·
 1978 11 4919.
 1978 12 5217·
 1979 01  5317.
 1979 02  4521·
 1979 03  1423·
 1979 04  4120.
 1979 05  3215.
 1979 06  6826·
 1979 07  7920.
 1979 08  5219.
 1979 09  4912.
 1979 10  6514.
 1979 11  312·
 1979 12  7413·
 1980 01 2410.
 1980 02 8911·
 1980 03 6625·
 1980 04 1918·
 1980 05 211.
 1980 06 1521·
 1980 07 7514·
 1980 08 2521.
 1980 09 5115.
 1980 10 429.
 1980 11 62
 1980 12 5413.
 1981 01  659.
 1981 02  9611.
 1981 03  8414·
 1981 04  969.
 1981 05  6412.
 1981 06  2813.
 1981 07  2122.
 1981 08  6314.
 1981 09  9112.
 1981 10  1424.
 1981 11  8123·
 1981 12  9226·
 1982 01 1728·
 1982 02 5216.
 1982 03 9622·
 1982 04 4611·
 1982 05 3420·
 1982 06 7027·
 1982 07 2129.
 1982 08 1418.
 1982 09 638.
 1982 10 1713·
 1982 11 3914·
 1982 12 912.
 1983 01  4712·
 1983 02  6813.
 1983 03  5611.
 1983 04  6720.
 1983 05  5511·
 1983 06  2424.
 1983 07  420·
 1983 08  5314·
 1983 09  839.
 1983 10  1119.
 1983 11  4016·
 1983 12  549.
 1984 01 479.
 1984 02 795.
 1984 03 4514·
 1984 04 8220·
 1984 05 9414·
 1984 06 312.
 1984 07 269·
 1984 08 7616.
 1984 09 9110.
 1984 10 837.
 1984 11 1422.
 1984 12 99
 1985 01  3415.
 1985 02  4516·
 1985 03  6616·
 1985 04  3815·
 1985 05  4120.
 1985 06  4018·
 1985 07  647·
 1985 08  712·
 1985 09  576·
 1985 10  4210.
 1985 11  1416·
 1985 12  4317·
 1986 01 5019·
 1986 02 538.
 1986 03 486.
 1986 04 109·
 1986 05 1511·
 1986 06 9712.
 1986 07 2310.
 1986 08 9411.
 1986 09 705·
 1986 10 2512.
 1986 11 2115·
 1986 12 917.
 1987 01  6111.
 1987 02  1212.
 1987 03  474·
 1987 04  948·
 1987 05  558·
 1987 06  5916.
 1987 07  3411.
 1987 08  106.
 1987 09  4813.
 1987 10  918.
 1987 11  3815·
 1987 12  4512·
 1988 01 59
 1988 02 596.
 1988 03 40
 1988 04 1412·
 1988 05 316.
 1988 06 3715.
 1988 07 499·
 1988 08 523.
 1988 11 344·
 1988 12 272·
 1989 01  948.
 1989 02  2411·
 1989 03  6116·
 1989 04  536.
 1989 05  344.
 1989 06  185.
 1989 07  33
 1989 08  675·
 1989 09  483.
 1989 10  454·
 1989 11  928·
 1989 12  438.
 1990 01 4511.
 1990 02 4513·
 1990 03 99·
 1990 04 8116.
 1990 05 5618.
 1990 06 797·
 1990 07 776·
 1990 08 8
 1990 09 3610·
 1990 10 36
 1990 11 16
 1990 12 746.
 1991 01  69
 1991 02  294.
 1991 03  6912.
 1991 04  538.
 1991 05  618.
 1991 06  957.
 1991 07  714·
 1991 08  472.
 1991 09  425.
 1991 10  9814·
 1991 11  2217·
 1991 12  8111·
 1992 01 7111·
 1992 02 255·
 1992 03 345.
 1992 04 420.
 1992 05 2815·
 1992 06 8914.
 1992 07 8821·
 1992 08 947.
 1992 09 206.
 1992 10 285.
 1992 11 527.
 1992 12 493·
 1993 01  799.
 1993 02  61.
 1993 03  2012.
 1993 04  96
 1993 05  625.
 1993 06  96.
 1993 07  133.
 1993 08  848.
 1993 09  505.
 1993 10  524·
 1993 11  728·
 1993 12  893.
 1994 01 49
 1994 03 708·
 1994 04 693·
 1994 05 124·
 1994 06 928·
 1994 07 297.
 1994 08 975.
 1994 09 784.
 1994 10 35
 1994 11 15
 1994 12 761.
 1995 01  383·
 1995 02  60
 1995 03  417·
 1995 04  486.
 1995 05  655·
 1995 06  737.
 1995 07  469.
 1995 08  847.
 1995 09  622.
 1995 10  51·
 1995 11  910.
 1995 12  783.
 1996 02 542·
 1996 03 152·
 1996 04 66
 1996 05 4911·
 1996 08 9019·
 1996 09 8210·
 1996 10 83
 1996 11 402.
 1996 12 47
 1997 01  153.
 1997 02  793·
 1997 03  21
 1997 04  243·
 1997 05  443·
 1997 06  185.
 1997 07  872.
 1997 08  4712·
 1997 09  268.
 1997 10  887·
 1997 11  563·
 1997 12  660.
 1998 01 436.
 1998 02 12.
 1998 03 733.
 1998 04 58
 1998 05 26·
 1998 06 963.
 1998 07 6
 1998 08 21
 1998 09 33
 1998 10 354·
 1998 11 504.
 1998 12 832.
 1999 01  943·
 1999 02  69·
 1999 03  243.
 1999 06  927·
 1999 07  672.
 1999 08  222·
 1999 09  721.
 1999 10  245.
 1999 11  582·
 2000 03 213·
 2000 05 632·
 2000 06 812.
 2000 07 981.
 2000 08 662·
 2000 10 923.
 2000 11 864.
 2000 12 443.
 2001 03  455.
 2001 06  762·
 2001 07  912·
 2001 08  791·
 2001 09  701·
 2001 10  626.
 2001 12  712·
 2002 01 82.
 2002 02 803.
 2002 03 17
 2002 04 261.
 2002 08 63
 2002 09 37
 2002 10 378·
 2002 11 82
 2002 12 11·
 2003 01  291.
 2003 03  392.
 2003 05  892.
 2003 06  35.
 2003 07  705.
 2003 08  680.
 2003 09  23
 2003 10  770·
 2003 12  961.
 2004 01 943·
 2004 02 8316·
 2004 03 546·
 2004 04 72
 2004 06 102.
 2004 07 962.
 2004 08 893.
 2004 10 84
 2004 11 363·
 2004 12 113.
 2005 01  663.
 2005 02  476.
 2005 03  163·
 2005 05  53·
 2005 07  913·
 2005 08  963.
 2005 09  180·
 2005 10  770.
 2005 11  955.
 2005 12  973.
 2006 01 385.
 2006 02 538.
 2006 03 343.
 2006 05 36
 2006 06 93
 2006 07 823·
 2006 08 921.
 2006 09 261.
 2006 10 294.
 2006 11 426.
 2006 12 744.
 2007 01  50·
 2007 02  151.
 2007 03  323·
 2007 05  114·
 2007 06  366.
 2007 07  435.
 2007 08  771·
 2007 12  613.
 2008 01 75·
 2008 02 354·
 2008 03 274·
 2008 04 64.
 2008 05 32
 2008 06 34
 2008 07 598·
 2008 08 514.
 2009 01  461.
 2009 02  80.
 2009 06  730.
 2009 07  280.
 2009 08  150.
 2009 09  534.
 2009 10  945·
 2009 11  9513·
 2009 12  254.
 2010 01 871.
 2010 02 710·
 2010 03 320.
 2010 04 900.
 2010 05 544·
 2010 06 820.
 2010 07 470.
 2010 08 460.
 2010 09 240.
 2010 10 264.
 2010 11 715·
 2010 12 589.
 2011 01  919·
 2011 02  2815·
 2011 03  609·
 2011 04  148·
 2011 05  745·
 2011 06  391.
 2011 07  97
 2011 08  25
 2011 09  160.
 2011 10  357.
 2011 11  884·
 2011 12  306.
 2012 01 885.
 2012 02 153·
 2012 03 640.
 2012 04 911.
 2012 05 836.
 2012 06 50.
 2012 07 823.
 2012 08 980·
 2012 09 200·
 2012 10 560·
 2012 11 250·
 2012 12 622.
 2013 01  444.
 2013 02  43
 2013 03  9810·
 2013 04  214.
 2013 05  240.
 2013 06  653·
 2013 07  323.
 2013 08  396.
 2013 09  530.
 2013 10  504·
 2013 11  860·
 2013 12  30.
 2014 01 520·
 2014 02 470·
 2014 03 400.
 2014 04 260.
 2014 05 634·
 2014 06 314.
 2014 07 20·
 2014 08 460·
 2014 09 570.
 2014 10 30.
 2014 11 20·
 2014 12 260.
 2015 01  270.
 2015 02  880.
 2015 03  970·
 2015 04  542·
 2015 05  930.
 2015 06  360·
 2015 07  690.
 2015 08  420.
 2015 09  980·
 2015 10  248·
 2015 11  259.
 2015 12  295.
 2016 01 133·
 2016 02 513.
 2016 03 961.
 2016 04 783.
 2016 05 306·
 2016 06 432·
 2016 07 393.
 2016 08 752.


 2016 09 692·
 2016 10 500.
 2016 11 360.
 2016 12 35
 2017 01  750.
 2017 02  470.
 2017 03  920·
 2017 04  960·
 2017 05  162.
 2017 06  365·
 2017 07  415·
 2017 08  191·
 2017 09  861·
 2017 10  410.
 2017 11  380.
Economagic: Year Chart
Economagic: Economic Chart Dispenser

Click on chart to change display options.


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: Employment Level: Nonagriculture, Unpaid Family Workers, 20-24 years, Women: NSA
   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

Want Personal Workspace access from any computer?

Sites of Interest: GGG Marketing SEO Experts * homes for sale - pelican marsh * Parker Waichman - Personal Injury Attorney * cheap wedding dresses - trusted supplier Weddingdresstrend.com * The Wall Street Examiner: Be prepared. Stay ahead of the herd

 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