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 Series Title: Total employed government wage and salary workers in Real estate and rental and leasing: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 2288.
 2012 03 65117·
 2012 02 26108.
 2012 01 1393.
 2011 12  5995·
 2011 11  086·
 2011 10  73105·
 2011 09  45105.
 2011 08  63105.
 2011 07  34104.
 2011 06  22122.
 2011 05  76136.
 2011 04  84109·
 2011 03  48106.
 2011 02  84142.
 2011 01  49112.
 2010 12 9796·
 2010 11 49108.
 2010 10 9779.
 2010 09 35124·
 2010 08 3106.
 2010 07 6893·
 2010 06 26104.
 2010 05 2779·
 2010 04 2679·
 2010 03 6295.
 2010 02 5794·
 2010 01 44110.
 2009 12  1886·
 2009 11  1387.
 2009 10  380·
 2009 09  3081.
 2009 08  5378.
 2009 07  2784·
 2009 06  2100.
 2009 05  55105.
 2009 04  3295·
 2009 03  3687.
 2009 02  1860.
 2009 01  1268.
 2008 12 8164·
 2008 11 9665·
 2008 10 3884·
 2008 09 2172·
 2008 08 5074·
 2008 07 9071·
 2008 06 7475·
 2008 05 2697·
 2008 04 1489·
 2008 03 2480.
 2008 02 6678·
 2008 01 9669·
 2007 12  7382.
 2007 11  2993·
 2007 10  7599·
 2007 09  2689.
 2007 08  54118·
 2007 07  62104·
 2007 06  8998.
 2007 05  34107·
 2007 04  685.
 2007 03  680·
 2007 02  2377·
 2007 01  6492·
 2006 12 5108·
 2006 11 65106·
 2006 10 1297.
 2006 09 8683·
 2006 08 51114·
 2006 07 73108.
 2006 06 2185.
 2006 05 9391.
 2006 04 6972·
 2006 03 8588·
 2006 02 3794.
 2006 01 683.
 2005 12  1185.
 2005 11  8483.
 2005 10  7350·
 2005 09  6884.
 2005 08  5176·
 2005 07  7675.
 2005 06  6782.
 2005 05  47106·
 2005 04  90117·
 2005 03  92117.
 2005 02  82108·
 2005 01  4076.
 2004 12 5293·
 2004 11 9083·
 2004 10 573.
 2004 09 6373·
 2004 08 9078·
 2004 07 5065.
 2004 06 5079·
 2004 05 6279.
 2004 04 7784·
 2004 03 8197·
 2004 02 5595·
 2004 01 6100·
 2003 12  1593.
 2003 11  1288.
 2003 10  8268·
 2003 09  8964·
 2003 08  2871·
 2003 07  190.
 2003 06  19110·
 2003 05  30101.
 2003 04  68103·
 2003 03  3081.
 2003 02  8081.
 2003 01  73100.
 2002 12 9114·
 2002 11 5109.
 2002 10 2107·
 2002 09 8887·
 2002 08 5291·
 2002 07 5789·
 2002 06 4794.
 2002 05 68106·
 2002 04 2299·
 2002 03 44116·
 2002 02 4122.
 2002 01 3293.
 2001 12  7085.
 2001 11  4799·
 2001 10  87105·
 2001 09  25109.
 2001 08  70106·
 2001 07  7399.
 2001 06  3199.
 2001 05  17106.
 2001 04  25100·
 2001 03  5384·
 2001 02  293·
 2001 01  095.
 2000 12 58118·
 2000 11 44125.
 2000 10 85112·
 2000 09 94131·
 2000 08 20135·
 2000 07 28120.
 2000 06 95110·
 2000 05 44103·
 2000 04 87118·
 2000 03 11134.
 2000 02 69133·
 2000 01 18111·
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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: Total employed government wage and salary workers in Real estate and rental and leasing: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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