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 Unemployed for 5-6 weeks 25-34 yrs. Female: 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 1348.
 1976 07 8070.
 1976 08 1582·
 1976 09 6252.
 1976 10 9383·
 1976 11 8087.
 1976 12 9959·
 1977 01  5363.
 1977 02  2880·
 1977 03  6646·
 1977 04  7145·
 1977 05  2951·
 1977 06  6668·
 1977 07  2077.
 1977 08  4572.
 1977 09  3660·
 1977 10  8455·
 1977 11  4861·
 1977 12  5855.
 1978 01 4353.
 1978 02 8370·
 1978 03 8165·
 1978 04 7361·
 1978 05 4360·
 1978 06 8659·
 1978 07 7880.
 1978 08 7794.
 1978 09 5656·
 1978 10 4672·
 1978 11 1868·
 1978 12 8559·
 1979 01  2571·
 1979 02  3660·
 1979 03  958.
 1979 04  3448.
 1979 05  2145·
 1979 06  5851.
 1979 07  83104·
 1979 08  8671·
 1979 09  3747·
 1979 10  3769·
 1979 11  9666·
 1979 12  2960.
 1980 01 9270·
 1980 02 2485·
 1980 03 2969·
 1980 04 7875·
 1980 05 3168·
 1980 06 9367.
 1980 07 9093·
 1980 08 6882.
 1980 09 2287·
 1980 10 4585·
 1980 11 1089.
 1980 12 6489.
 1981 01  5984.
 1981 02  699·
 1981 03  4571.
 1981 04  5278.
 1981 05  6396·
 1981 06  2671·
 1981 07  78126.
 1981 08  4772·
 1981 09  7794.
 1981 10  8099·
 1981 11  15105.
 1981 12  8699.
 1982 01 6964·
 1982 02 6976.
 1982 03 8780.
 1982 04 3179·
 1982 05 3696.
 1982 06 1881·
 1982 07 52115·
 1982 08 7199·
 1982 09 94131·
 1982 10 77113·
 1982 11 90103.
 1982 12 18113.
 1983 01  8984·
 1983 02  22105.
 1983 03  981·
 1983 04  1165·
 1983 05  9078·
 1983 06  5486·
 1983 07  40115·
 1983 08  13102.
 1983 09  9094·
 1983 10  97117.
 1983 11  4082.
 1983 12  1087.
 1984 01 1068.
 1984 02 298·
 1984 03 9081·
 1984 04 1764.
 1984 05 9283·
 1984 06 4578.
 1984 07 98103.
 1984 08 7185.
 1984 09 788.
 1984 10 2587.
 1984 11 9467.
 1984 12 3478.
 1985 01  4972.
 1985 02  69102.
 1985 03  3588.
 1985 04  9689·
 1985 05  3580·
 1985 06  2673·
 1985 07  3103.
 1985 08  6880·
 1985 09  12106.
 1985 10  72113·
 1985 11  5105·
 1985 12  8898.
 1986 01 4787.
 1986 02 8113.
 1986 03 7292.
 1986 04 2078.
 1986 05 3670·
 1986 06 5974·
 1986 07 6299·
 1986 08 5282·
 1986 09 9699·
 1986 10 74108·
 1986 11 54107.
 1986 12 9592.
 1987 01  73103·
 1987 02  30127.
 1987 03  5787·
 1987 04  8961·
 1987 05  3572·
 1987 06  2793.
 1987 07  263·
 1987 08  9689·
 1987 09  7699·
 1987 10  9184.
 1987 11  45100.
 1987 12  487·
 1988 01 1686·
 1988 02 7177.
 1988 03 6865.
 1988 04 2549.
 1988 05 9955·
 1988 06 4386·
 1988 07 78104.
 1988 08 9847·
 1988 09 9455.
 1988 10 892·
 1988 11 795·
 1988 12 8679.
 1989 01  9582·
 1989 02  9180·
 1989 03  1082.
 1989 04  7658.
 1989 05  2272.
 1989 06  4269·
 1989 07  7093.
 1989 08  8279·
 1989 09  1779.
 1989 10  3680·
 1989 11  9454·
 1989 12  4195·
 1990 01 5171.
 1990 02 7596.
 1990 03 1277.
 1990 04 1685.
 1990 05 1865.
 1990 06 8369·
 1990 07 82108·
 1990 08 9563.
 1990 09 37110·
 1990 10 1180·
 1990 11 8589·
 1990 12 9182·
 1991 01  5169·
 1991 02  35114·
 1991 03  2877.
 1991 04  4179·
 1991 05  3195·
 1991 06  5487.
 1991 07  4390.
 1991 08  1065.
 1991 09  7092.
 1991 10  94101.
 1991 11  8695.
 1991 12  8497·
 1992 01 87109·
 1992 02 5101·
 1992 03 3884.
 1992 04 7684.
 1992 05 2690·
 1992 06 63111.
 1992 07 7101.
 1992 08 2581.
 1992 09 58104·
 1992 10 6983·
 1992 11 2492·
 1992 12 94117·
 1993 01  7580.
 1993 02  47104.
 1993 03  4670.
 1993 04  6993.
 1993 05  9772·
 1993 06  4890.
 1993 07  5486.
 1993 08  6479.
 1993 09  6877·
 1993 10  4784.
 1993 11  5574·
 1993 12  1893.
 1994 01 5753·
 1994 02 4593·
 1994 03 8154·
 1994 04 9246.
 1994 05 5856.
 1994 06 6748.
 1994 07 8870.
 1994 08 7588.
 1994 09 9156·
 1994 10 6491·
 1994 11 5843·
 1994 12 7960.
 1995 01  028·
 1995 02  1198.
 1995 03  9870.
 1995 04  4342·
 1995 05  5350.
 1995 06  876.
 1995 07  3855·
 1995 08  3058.
 1995 09  4651.
 1995 10  8172·
 1995 11  3780·
 1995 12  2671.
 1996 01 9644·
 1996 02 7985·
 1996 03 7557·
 1996 04 4638·
 1996 05 4843·
 1996 06 8067.
 1996 07 5953.
 1996 08 2781·
 1996 09 7226.
 1996 10 8299·
 1996 11 2162.
 1996 12 3289.
 1997 01  6153.
 1997 02  1261.
 1997 03  1857·
 1997 04  4937·
 1997 05  3553·
 1997 06  1964.
 1997 07  3064.
 1997 08  9058·
 1997 09  3828·
 1997 10  7957·
 1997 11  6563.
 1997 12  9558·
 1998 01 3823·
 1998 02 9384.
 1998 03 5561·
 1998 04 2414·
 1998 05 3131·
 1998 06 8561·
 1998 07 5551.
 1998 08 6757.
 1998 09 3563.
 1998 10 749.
 1998 11 4877.
 1998 12 3759·
 1999 01  9442.
 1999 02  3372·
 1999 03  4055·
 1999 04  7028.
 1999 05  7729.
 1999 06  6543·
 1999 07  6352·
 1999 08  3128·
 1999 09  7935.
 1999 10  2739.
 1999 11  7446.
 1999 12  644.
 2000 01 1923·
 2000 02 6946·
 2000 03 5433·
 2000 04 1033.
 2000 05 4014.
 2000 06 6833·
 2000 07 933.
 2000 08 7944.
 2000 09 1334·
 2000 10 2329·
 2000 11 7340·
 2000 12 7761·
 2001 01  3148.
 2001 02  6146·
 2001 03  058·
 2001 04  9133·
 2001 05  1337.
 2001 06  3042·
 2001 07  7346.
 2001 08  3548.
 2001 09  326·
 2001 10  844·
 2001 11  9889.


 2001 12  4692.
 2002 01 7145.
 2002 02 9374.
 2002 03 744.
 2002 04 8745.
 2002 05 1157·
 2002 06 1251.
 2002 07 5734·
 2002 08 4753.
 2002 09 4232.
 2002 10 1540·
 2002 11 3053.
 2002 12 3756·
 2003 01  740·
 2003 02  7854·

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 Unemployed for 5-6 weeks 25-34 yrs. Female: 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

Economagic has unemployment data for every county?
Click here for every Georgia county and then find your own.

Sites of Interest: GGG Marketing SEO Experts * homes for sale - pelican marsh * Invokana Attorneys * 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