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 Series Title: Population Level: 20 years and over, Women: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 37117353·
 2012 03 54117260·
 2012 02 67117170.
 2012 01 98117082·
 2011 12  93115602·
 2011 11  98115526.
 2011 10  64115437·
 2011 09  70115338.
 2011 08  76115238·
 2011 07  2115138·
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 2011 05  2114954·
 2011 04  40114868.
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 2011 02  59114714.
 2011 01  40114637·
 2010 12 57114894.
 2010 11 45114801.
 2010 10 9114704.
 2010 09 52114596.
 2010 08 30114481·
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 2010 01 2113796·
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 1988 11 889887.
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 1988 02 389178.
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 1987 12  9489010.
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 1986 12 5388016.
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 1986 10 6987856·
 1986 09 387779.
 1986 08 1387689·
 1986 07 7087629·
 1986 06 2287547·
 1986 05 2387444.
 1986 04 8187355.
 1986 03 3887263·
 1986 02 6987185.
 1986 01 1087112·
 1985 12  986988.
 1985 11  486901·
 1985 10  2186810.
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 1985 08  7186652.
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 1984 02 7584962.
 1984 01 3384860.
 1983 12  8484666·
 1983 11  6384553·
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 1983 08  3584224.
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 1983 06  9084008.
 1983 05  1983899·
 1983 04  4883794·
 1983 03  7883699.
 1983 02  5483593.
 1983 01  8483490·
 1982 12 9883383.
 1982 11 1983385·
 1982 10 6583271·
 1982 09 8283152.
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 1982 07 4782926.
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 1982 05 682707·
 1982 04 3882591.
 1982 03 2282478·
 1982 02 682367.
 1982 01 7682260·
 1981 12  382151·
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 1981 10  3681920.
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 1981 05  5381308.
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 1981 03  5781076.
 1981 02  480966.
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 1980 12 5980732·
 1980 11 7980616.
 1980 10 9380502·
 1980 09 6880383.
 1980 08 8280264·
 1980 07 580151.
 1980 06 9579996.
 1980 05 2779863·
 1980 04 4679746.
 1980 03 4179626.
 1980 02 4679506.
 1980 01 7279385.
 1979 12  5179255.
 1979 11  1879127.
 1979 10  1178998.
 1979 09  9678805.
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 1979 07  9478553.
 1979 06  7678421.
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 1979 04  1078121.
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 1979 01  8577779.
 1978 12 9077655·
 1978 11 9377524.
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 1978 07 5477014.
 1978 06 3276880.
 1978 05 4776743.
 1978 04 5376610.
 1978 03 9076490.
 1978 02 8076382.
 1978 01 5676266.
 1977 12  1276142.
 1977 11  8376015.
 1977 10  4475895.
 1977 09  3475768.
 1977 08  1575645.
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 1977 05  5175243·
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 1977 01  174747.
 1976 12 7774627.
 1976 11 9474569.
 1976 10 3074444·
 1976 09 274341·
 1976 08 1374212.
 1976 07 3074085·
 1976 06 8473958·
 1976 05 073832.
 1976 04 4473712.
 1976 03 673605.
 1976 02 9273484·
 1976 01 6273373·
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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: Population Level: 20 years and over, Women: SA
   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 to know how State economies fared during the Clinton Administration? Use the Reporter.

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