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 Series Title: Employment-Population Ratio: Less than a High School Diploma 25 years and over, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 1992 01 3426·5
 1992 02 6026.2
 1992 03 9326·3
 1992 04 2927.0
 1992 05 9026·7
 1992 06 9827.0
 1992 07 7827·0
 1992 08 8326·0
 1992 09 5125.9
 1992 10 7225.2
 1992 11 125.3
 1992 12 7324·7
 1993 01  6524·3
 1993 02  6425.0
 1993 03  7525.3
 1993 04  4425.4
 1993 05  925·6
 1993 06  8025·5
 1993 07  3925.3
 1993 08  6325.6
 1993 09  8325.5
 1993 10  5225·9
 1993 11  5425·7
 1993 12  2725·2
 1994 01 1224·7
 1994 02 3725·5
 1994 03 1025·6
 1994 04 5326·1
 1994 05 4725.8
 1994 06 1525.5
 1994 07 1924.7
 1994 08 8625·3
 1994 09 6426.2
 1994 10 9526·6
 1994 11 1826.8
 1994 12 9526·5
 1995 01  6225.9
 1995 02  726·3
 1995 03  7127.0
 1995 04  7427·1
 1995 05  6626·8
 1995 06  826·0
 1995 07  6525.0
 1995 08  4225·7
 1995 09  2927.2
 1995 10  8027.3
 1995 11  1427.6
 1995 12  4427·0
 1996 01 2426.5
 1996 02 2926.1
 1996 03 5526·1
 1996 04 4826.0
 1996 05 5226.3
 1996 06 8725.9
 1996 07 5225.9
 1996 08 4926.9
 1996 09 3927·3
 1996 10 1126.8
 1996 11 9127·8
 1996 12 6627.8
 1997 01  3427·0
 1997 02  8226·5
 1997 03  8727·2
 1997 04  4327.3
 1997 05  1427·9
 1997 06  727·7
 1997 07  7627.2
 1997 08  4928.3
 1997 09  7928·7
 1997 10  1728·1
 1997 11  2228·2
 1997 12  7928·8
 1998 01 5328.3
 1998 02 7028·4
 1998 03 1328·7
 1998 04 5028.8
 1998 05 8829.0
 1998 06 4729.0
 1998 07 6127·8
 1998 08 928·2
 1998 09 5929·6
 1998 10 5428.5
 1998 11 528.9
 1998 12 2330.2
 1999 01  6729·8
 1999 02  2328.9
 1999 03  729.3
 1999 04  8628.9
 1999 05  3628.6
 1999 06  1229·4
 1999 07  5628·4
 1999 08  1929.1
 1999 09  1729·6
 1999 10  029·3
 1999 11  6329·6
 1999 12  6530.0
 2000 01 8529.9
 2000 02 9629.7
 2000 03 6729·7
 2000 04 9329.5
 2000 05 4129.2
 2000 06 3029·7
 2000 07 3229.6
 2000 08 9830·0
 2000 09 1130·9
 2000 10 6030.0
 2000 11 4429.5
 2000 12 9829.5
 2001 01  4430·0
 2001 02  6630·3
 2001 03  1730·8
 2001 04  3830·5
 2001 05  1630·3
 2001 06  5629·1
 2001 07  8829.1
 2001 08  8629.8
 2001 09  2729·7
 2001 10  6230.1
 2001 11  2129.7
 2001 12  3829.3
 2002 01 329.2
 2002 02 3928.8
 2002 03 329·2
 2002 04 1230·0
 2002 05 9530.0
 2002 06 7029·7
 2002 07 4828·4
 2002 08 5229·3
 2002 09 7730·1
 2002 10 6229.2
 2002 11 9229·4
 2002 12 2729·2
 2003 01  4928.7
 2003 02  4527·9
 2003 03  029.2
 2003 04  3230·5
 2003 05  3930.5
 2003 06  7629.9
 2003 07  5829.0
 2003 08  8529·6
 2003 09  9528·8
 2003 10  3830·2
 2003 11  8030·1
 2003 12  3129·3
 2004 01 9328.6
 2004 02 3628·1
 2004 03 428.8
 2004 04 4029.4
 2004 05 3329.9
 2004 06 329·6
 2004 07 9328.8
 2004 08 429·5
 2004 09 4229.4
 2004 10 9428·6
 2004 11 3429·8
 2004 12 4430·0
 2005 01  6929·3
 2005 02  9328.8
 2005 03  4029·1
 2005 04  229.4
 2005 05  8930·4
 2005 06  430·7
 2005 07  5029·9
 2005 08  5030·1
 2005 09  329.8
 2005 10  6129.0
 2005 11  2630·0
 2005 12  8030.4
 2006 01 3729.7
 2006 02 1929.6
 2006 03 5529.6
 2006 04 1230.3
 2006 05 4131·0
 2006 06 6131.9
 2006 07 5231.2
 2006 08 9030.8
 2006 09 9030.9
 2006 10 9230.8
 2006 11 5430·3
 2006 12 8231.2
 2007 01  8531.0
 2007 02  4531·5
 2007 03  2331·4
 2007 04  8431·0
 2007 05  5131.2
 2007 06  7629·7
 2007 07  4830·0
 2007 08  1529.8
 2007 09  3830·4
 2007 10  6729.6
 2007 11  4129·3
 2007 12  1829.8
 2008 01 2230.0
 2008 02 2429.8
 2008 03 4130·0
 2008 04 6231.2
 2008 05 330.7
 2008 06 7930.6
 2008 07 1030·0
 2008 08 4330·2
 2008 09 730·2
 2008 10 9030·4
 2008 11 3630·0
 2008 12 7829·2
 2009 01  8429.5
 2009 02  3628.9
 2009 03  3228·9
 2009 04  1229.2
 2009 05  928·6
 2009 06  2528·9
 2009 07  3629.7
 2009 08  1529.3
 2009 09  8329·2
 2009 10  8928·4
 2009 11  1128·9
 2009 12  7928·8
 2010 01 3128.9
 2010 02 8528·2
 2010 03 4528.3
 2010 04 2628·9
 2010 05 329.0
 2010 06 9328·9
 2010 07 5028·8
 2010 08 9828.5
 2010 09 7628·8
 2010 10 2127.8
 2010 11 6528.9
 2010 12 6428.9
 2011 01  4928.2
 2011 02  027.3
 2011 03  5227.8
 2011 04  2028.4
 2011 05  4728·2
 2011 06  8728·5
 2011 07  028·0
 2011 08  8328·3
 2011 09  2229·6
 2011 10  6329·3
 2011 11  2029·1
 2011 12  9929.1
 2012 01 4828.1


 2012 02 3627·8
 2012 03 5229·4
 2012 04 3629·6
 2012 05 2628.8
 2012 06 3629.1
 2012 07 5828.9
 2012 08 8928·8
 2012 09 8129·6
 2012 10 2028·6
 2012 11 2527.9
 2012 12 7628.9
 2013 01  6428·7
 2013 02  7128·6
 2013 03  6828·7
 2013 04  4227·9
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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: Employment-Population Ratio: Less than a High School Diploma 25 years and over, 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

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