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: Labor Force Participation Rate: Hispanic or Latino 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  |  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
 2012 04 1756·4
 2012 03 3256.6
 2012 02 3357·0
 2012 01 3356.1
 2011 12  7356·1
 2011 11  9456·3
 2011 10  4056.8
 2011 09  8356·1
 2011 08  7856.0
 2011 07  3655.1
 2011 06  2955.9
 2011 05  1255.5
 2011 04  8055.9
 2011 03  3955·4
 2011 02  1354·7
 2011 01  6556.5
 2010 12 5556·1
 2010 11 1056·9
 2010 10 3056·3
 2010 09 1256·5
 2010 08 556·2
 2010 07 8156.2
 2010 06 4356.1
 2010 05 4656·6
 2010 04 5356·4
 2010 03 856.8
 2010 02 3956.7
 2010 01 8657·0
 2009 12  5156.3
 2009 11  7356·8
 2009 10  3256·1
 2009 09  7856·1
 2009 08  7456·0
 2009 07  8257.1
 2009 06  6057.0
 2009 05  8856.5
 2009 04  2257·1
 2009 03  6856·9
 2009 02  8556.5
 2009 01  1356·0
 2008 12 2156.1
 2008 11 8655.6
 2008 10 9655.7
 2008 09 7155.9
 2008 08 2156·9
 2008 07 1956·5
 2008 06 456·7
 2008 05 656.8
 2008 04 9856·5
 2008 03 7355·4
 2008 02 4955.8
 2008 01 8756·0
 2007 12  5156.1
 2007 11  8056·7
 2007 10  9256·6
 2007 09  956.9
 2007 08  757·4
 2007 07  9757.1
 2007 06  2356·3
 2007 05  9056.1
 2007 04  1555·9
 2007 03  455.8
 2007 02  5356.1
 2007 01  7556.4
 2006 12 5156.6
 2006 11 956.3
 2006 10 2156.1
 2006 09 3355.3
 2006 08 1655.8
 2006 07 4356·5
 2006 06 8956.8
 2006 05 5856.4
 2006 04 3556·3
 2006 03 6455.4
 2006 02 4655.7
 2006 01 6955.9
 2005 12  5855.9
 2005 11  5256·0
 2005 10  455.6
 2005 09  1055.0
 2005 08  6055.4
 2005 07  1455·5
 2005 06  155·4
 2005 05  5155.5
 2005 04  4355·2
 2005 03  8254.6
 2005 02  055.1
 2005 01  8654·4
 2004 12 3155·8
 2004 11 1255·4
 2004 10 8956.2
 2004 09 3356·3
 2004 08 7556.5
 2004 07 8756.6
 2004 06 8256·9
 2004 05 3756.5
 2004 04 5056.2
 2004 03 1356.7
 2004 02 1455·2
 2004 01 6755.2
 2003 12  5654.7
 2003 11  2155.3
 2003 10  5155.5
 2003 09  1754·9
 2003 08  2055·5
 2003 07  6855·9
 2003 06  7956.6
 2003 05  655·9
 2003 04  9156·7
 2003 03  3656.7
 2003 02  1156·5
 2003 01  7957.0
 2002 12 4456·8
 2002 11 3156·7
 2002 10 8657·1
 2002 09 557·6
 2002 08 8157·2
 2002 07 8557·9
 2002 06 6657.6
 2002 05 7757·1
 2002 04 2658·2
 2002 03 5558.1
 2002 02 3958.4
 2002 01 1558·1
 2001 12  3058.1
 2001 11  2257·4
 2001 10  1858.4
 2001 09  6357.1
 2001 08  6957·7
 2001 07  9356·9
 2001 06  4156·7
 2001 05  9057.0
 2001 04  4257.1
 2001 03  058.7
 2001 02  7158·2
 2001 01  9157.4
 2000 12 7558.1
 2000 11 9958·5
 2000 10 9557·8
 2000 09 8358·4
 2000 08 1956.7
 2000 07 7256·0
 2000 06 2757·3
 2000 05 1357·3
 2000 04 4857.0
 2000 03 2558.0
 2000 02 557·3
 2000 01 4857·7
 1999 12  6456.4
 1999 11  9156·0
 1999 10  9156·0
 1999 09  8356.4
 1999 08  9256·1
 1999 07  2555.7
 1999 06  7256·3
 1999 05  3755.4
 1999 04  8155·0
 1999 03  956·6
 1999 02  6356·2
 1999 01  5455·4
 1998 12 855.8
 1998 11 5154·6
 1998 10 255·9
 1998 09 356·7
 1998 08 7355.7
 1998 07 8155·9
 1998 06 4956·6
 1998 05 7955·7
 1998 04 155.1
 1998 03 5756.2
 1998 02 9555.0
 1998 01 054.0
 1997 12  4355·3
 1997 11  6054.7
 1997 10  5255.4
 1997 09  1155.4
 1997 08  7456·0
 1997 07  9656·5
 1997 06  5754.8
 1997 05  8054.4
 1997 04  9453·2
 1997 03  9854·7
 1997 02  7355·3
 1997 01  355·7
 1996 12 2855.1
 1996 11 2156.1
 1996 10 8954.6
 1996 09 9854.3
 1996 08 2854·3
 1996 07 4853.2
 1996 06 1752.0
 1996 05 951.5
 1996 04 6951·8
 1996 03 8652.5
 1996 02 9552·5
 1996 01 552·2
 1995 12  5052·4
 1995 11  6553.2
 1995 10  8653.8
 1995 09  8153·9
 1995 08  9853·0
 1995 07  4253·2
 1995 06  7852·4
 1995 05  5651.4
 1995 04  6352.2
 1995 03  052.2
 1995 02  8451.9
 1995 01  7351.5
 1994 12 1952·7
 1994 11 4453.6
 1994 10 4253·7
 1994 09 253·2
 1994 08 6953.0
 1994 07 753·4
 1994 06 1452.8
 1994 05 3853·0
 1994 04 3652·7
 1994 03 4553·1
 1994 02 8852.2
 1994 01 9950·8
 1993 12  7152·4
 1993 11  3952·5
 1993 10  7852·7
 1993 09  2951·2
 1993 08  5051.7
 1993 07  9752·7
 1993 06  2152.2
 1993 05  9752·1
 1993 04  7351.9
 1993 03  5052.5
 1993 02  8151.3
 1993 01  9851.5
 1992 12 6651·6
 1992 11 5451.8
 1992 10 4451.6
 1992 09 5152·3
 1992 08 7853·3
 1992 07 9254.3
 1992 06 2553.9
 1992 05 053.3
 1992 04 8653.0
 1992 03 6953·5
 1992 02 6052.6
 1992 01 1452.4
 1991 12  8952.0
 1991 11  1851.7
 1991 10  1352.5
 1991 09  8751.9
 1991 08  1352.9
 1991 07  9554.1
 1991 06  7153.0
 1991 05  3952·2
 1991 04  952.0
 1991 03  8252·2
 1991 02  4851.8
 1991 01  1352·0
 1990 12 5251·2
 1990 11 8651·0
 1990 10 8151·5
 1990 09 7852.5
 1990 08 4253·9
 1990 07 3754·8
 1990 06 3455·3
 1990 05 3054·2
 1990 04 453·6
 1990 03 9353.4
 1990 02 9452.7
 1990 01 8652·9
 1989 12  8953.2
 1989 11  3654.3
 1989 10  7351·8
 1989 09  9152·5
 1989 08  7353.7
 1989 07  7155.0
 1989 06  1154.1
 1989 05  1554·6
 1989 04  5554.3
 1989 03  3152·8
 1989 02  7053·1
 1989 01  5153·1
 1988 12 6252·1
 1988 11 7353.9
 1988 10 3753·6
 1988 09 1853.2
 1988 08 4353·1
 1988 07 7753·7
 1988 06 2654.7
 1988 05 6152·3
 1988 04 7452.0
 1988 03 5152.1
 1988 02 7454·5
 1988 01 4952.9
 1987 12  5652·2
 1987 11  2653.2
 1987 10  4553·0
 1987 09  7652·0
 1987 08  1352.8
 1987 07  5951·9
 1987 06  2652·4
 1987 05  6052.2
 1987 04  9652·3
 1987 03  3250·7
 1987 02  3050·9
 1987 01  4750.0
 1986 12 8150·6
 1986 11 5050·7
 1986 10 9651·8
 1986 09 551.4
 1986 08 6751.6
 1986 07 4751.8
 1986 06 8551·4
 1986 05 2948.7
 1986 04 8148.7
 1986 03 7748.1
 1986 02 8648.6
 1986 01 3748.3
 1985 12  7348.4
 1985 11  2449·5
 1985 10  1250·3
 1985 09  7450.7
 1985 08  1850.1
 1985 07  9449.6
 1985 06  048·5
 1985 05  947·9
 1985 04  1648·8
 1985 03  1749.6
 1985 02  1449.2
 1985 01  3648·3
 1984 12 9350·5
 1984 11 5250·3
 1984 10 4250.3
 1984 09 7450·5
 1984 08 9950.5
 1984 07 8050.6
 1984 06 9550·1
 1984 05 6748·9
 1984 04 948.3
 1984 03 649.3
 1984 02 1347.4
 1984 01 8548.9
 1983 12  2547·9
 1983 11  6448.5
 1983 10  5847.5
 1983 09  2248.4
 1983 08  7149.0
 1983 07  948·9
 1983 06  1848.3
 1983 05  9646.8
 1983 04  9847·1
 1983 03  2346.4
 1983 02  646.6
 1983 01  5247·0
 1982 12 8247.2
 1982 11 1347·8
 1982 10 6048·5
 1982 09 5948.0
 1982 08 2148·5
 1982 07 1049·2
 1982 06 4248.5
 1982 05 1149.3
 1982 04 4348.2
 1982 03 7247·4
 1982 02 4147·6
 1982 01 2746.8
 1981 12  9747.2
 1981 11  7948·6
 1981 10  6948·6
 1981 09  5247·3
 1981 08  5948.8
 1981 07  3949·8
 1981 06  6448·4
 1981 05  5448·6
 1981 04  2948·3
 1981 03  8347.2
 1981 02  9048.6
 1981 01  2947·7
 1980 12 3247·5
 1980 11 6748.0
 1980 10 3447.7
 1980 09 9446.0
 1980 08 1948.0
 1980 07 7448·4
 1980 06 947·6
 1980 05 9447.0
 1980 04 6647·1
 1980 03 947·4
 1980 02 5246.9
 1980 01 9847·6
 1979 12  7348.5
 1979 11  548·2
 1979 10  2847·9
 1979 09  047.3
 1979 08  6447.1
 1979 07  1947·4
 1979 06  2347.1
 1979 05  2046·0
 1979 04  9146.8
 1979 03  3147.2
 1979 02  5048.3
 1979 01  147·5
 1978 12 2949·1
 1978 11 4949·0
 1978 10 4949·4
 1978 09 1346.7
 1978 08 7846·3
 1978 07 447.0
 1978 06 8046·6
 1978 05 5045.5
 1978 04 6445·5
 1978 03 5245.5
 1978 02 3344·0
 1978 01 3144.5
 1977 12  3645·0
 1977 11  7645.0
 1977 10  1944·6
 1977 09  045.1
 1977 08  7144·9
 1977 07  8345·3
 1977 06  7844.7
 1977 05  2643.6
 1977 04  7043.8
 1977 03  243·0
 1977 02  7243.4
 1977 01  442.4
 1976 12 5644·3
 1976 11 9344·3
 1976 10 8844.7
 1976 09 5245.2
 1976 08 8143.8
 1976 07 3545.4
 1976 06 4045.6
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: 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: Labor Force Participation Rate: Hispanic or Latino 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

What do people say about Economagic?

 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