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 Series Title: Population Level: 45 years and over, White: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 37102142.
 2012 03 13102050·
 2012 02 98101962·
 2012 01 45101878.
 2011 12  30101088·
 2011 11  33100997.
 2011 10  35100895.
 2011 09  46100779.
 2011 08  58100663·
 2011 07  21100547.
 2011 06  42100450·
 2011 05  15100355·
 2011 04  72100265·
 2011 03  57100187·
 2011 02  31100108.
 2011 01  96100031.
 2010 12 47100113.
 2010 11 49100002·
 2010 10 4199888·
 2010 09 5799751.
 2010 08 8299609.
 2010 07 2899472·
 2010 06 3499355·
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 2010 04 599136.
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 2010 02 9998918.
 2010 01 2398809.
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 2008 12 4497043.
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 1998 04 9376666·
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 1998 01 3976357.
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 1996 03 6973504.
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 1996 01 2073393·
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 1995 11  773127.
 1995 10  3572994.
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 1995 08  3272704·
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 1994 12 6471747·
 1994 11 8771646.
 1994 10 671530·
 1994 09 5171410.
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 1994 07 5871151.
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 1994 03 9270762.
 1994 02 170678.
 1994 01 3870583.
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 1993 05  7969657.
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 1992 11 6069049.
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 1989 02  9965913.
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 1988 12 5265777.
 1988 11 5465704·
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 1988 08 9465487.
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 1988 06 7865350.
 1988 05 1365266·
 1988 04 7465205·
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 1988 02 6965072.
 1988 01 6564998·
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 1987 04  6864341·
 1987 03  564296.
 1987 02  7864243.
 1987 01  8264196.
 1986 12 5264130·
 1986 11 4464060.
 1986 10 3664006·
 1986 09 5563944.
 1986 08 2563890.
 1986 07 4963853·
 1986 06 663811·
 1986 05 8163757·
 1986 04 1363726·
 1986 03 7663689·
 1986 02 7563650.
 1986 01 7963618.
 1985 12  6663621.
 1985 11  663578·
 1985 10  5663530.
 1985 09  9363474.
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 1984 12 9563039·
 1984 11 962990·
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 1984 09 4962951.
 1984 08 1362892.
 1984 07 7062856.
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 1984 04 2362842.
 1984 03 1762859·
 1984 02 4662792.
 1984 01 262746·
 1983 12  2562691·
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 1983 10  7262577.
 1983 09  4062487·
 1983 08  4562430.
 1983 07  2462386·
 1983 06  9962315·
 1983 05  462239.
 1983 04  3462213·
 1983 03  2262212·
 1983 02  4362159·
 1983 01  3762165·
 1982 12 6662192·
 1982 11 8362168·
 1982 10 3962140·
 1982 09 962112·
 1982 08 4262099·
 1982 07 3862071·
 1982 06 5161991.
 1982 05 1361933·
 1982 04 8861929.
 1982 03 4661884·
 1982 02 6861803·
 1982 01 6961847·
 1981 12  5361816.
 1981 11  8761802.
 1981 10  161800.
 1981 09  2161756·
 1981 08  1461712·
 1981 07  6761659·
 1981 06  9061611.
 1981 05  3861568·
 1981 04  7161546.
 1981 03  1961472·
 1981 02  9661465·
 1981 01  1561450.
 1980 12 4861389.
 1980 11 061362·
 1980 10 761341·
 1980 09 6961311.
 1980 08 9761276.
 1980 07 9061236·
 1980 06 3761182·
 1980 05 4661139.
 1980 04 9361110·
 1980 03 9661073.
 1980 02 2461021.
 1980 01 1560979.
 1979 12  3660937.
 1979 11  5160895·
 1979 10  2960861·
 1979 09  7060774.
 1979 08  5160733·
 1979 07  1060684.
 1979 06  4260639.
 1979 05  2960593.
 1979 04  9060509.
 1979 03  5660537·
 1979 02  7560435·
 1979 01  3860403·
 1978 12 2660363.
 1978 11 9460325.
 1978 10 6660299·
 1978 09 6460243·
 1978 08 6260193.
 1978 07 5860159.
 1978 06 7860107.
 1978 05 360054·
 1978 04 2260006·
 1978 03 259966.
 1978 02 9859934·
 1978 01 7459895.
 1977 12  5659853.
 1977 11  1059810·
 1977 10  4059795.
 1977 09  2059756.
 1977 08  4059713·
 1977 07  8759665.
 1977 06  4259612·
 1977 05  1159554·
 1977 04  7559486·
 1977 03  6559443.
 1977 02  6659407·
 1977 01  4159369·
 1976 12 8559331.
 1976 11 159316·
 1976 10 059281.
 1976 09 2859227.
 1976 08 2159179·
 1976 07 7659129.
 1976 06 5759073.
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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: 45 years and over, White: 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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