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 Series Title: Employment Level: Puerto Rican, Building and Grounds Cleaning and Maintenance Occupations: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 3367.
 2000 02 6760.
 2000 03 5758·
 2000 04 7354·
 2000 05 1362·
 2000 06 7275·
 2000 07 5284.
 2000 08 8192·
 2000 09 7190·
 2000 10 8856·
 2000 11 6169·
 2000 12 176·
 2001 01  5870.
 2001 02  9766·
 2001 03  9661.
 2001 04  7545·
 2001 05  5050.
 2001 06  568.
 2001 07  9558.
 2001 08  7499.
 2001 09  4776·
 2001 10  4372.
 2001 11  2159·
 2001 12  9263.
 2002 01 7560.
 2002 02 7058·
 2002 03 6267·
 2002 04 4774.
 2002 05 8391·
 2002 06 65103.
 2002 07 31111·
 2002 08 85107.
 2002 09 47111.
 2002 10 3693.
 2002 11 6675·
 2002 12 7383.
 2003 01  6857·
 2003 02  1551·
 2003 03  3058·
 2003 04  663·
 2003 05  7182·
 2003 06  5868.
 2003 07  1068.
 2003 08  482·
 2003 09  669.
 2003 10  47107.
 2003 11  19112·
 2003 12  10103.
 2004 01 4965.
 2004 02 8857.
 2004 03 9677·
 2004 04 9456.
 2004 05 176·
 2004 06 1292·
 2004 07 399.
 2004 08 49101.
 2004 09 8590.
 2004 10 7889·
 2004 11 2869.
 2004 12 95100.
 2005 01  5493·
 2005 02  6693.
 2005 03  8496·
 2005 04  76100·
 2005 05  8295.
 2005 06  8387.
 2005 07  977·
 2005 08  6288.
 2005 09  6995.
 2005 10  60108·
 2005 11  6594·
 2005 12  4575·
 2006 01 4287·
 2006 02 5589·
 2006 03 42122·
 2006 04 46106.
 2006 05 5089.
 2006 06 4890.
 2006 07 5178.
 2006 08 9105·
 2006 09 6990.
 2006 10 4788·
 2006 11 3074·
 2006 12 278.
 2007 01  091·
 2007 02  8374.
 2007 03  4387.
 2007 04  2086.
 2007 05  6786·
 2007 06  1389.
 2007 07  7695.
 2007 08  8393.
 2007 09  2175·
 2007 10  1977.
 2007 11  4499.
 2007 12  3383.
 2008 01 3795·
 2008 02 674.
 2008 03 8462·
 2008 04 4088.
 2008 05 1686.
 2008 06 791.
 2008 07 5988.
 2008 08 9963.
 2008 09 8474.
 2008 10 7983.
 2008 11 5769·
 2008 12 2985·
 2009 01  9080.
 2009 02  282·
 2009 03  9091·
 2009 04  7375·
 2009 05  1095.
 2009 06  8469.
 2009 07  9796·
 2009 08  197·
 2009 09  4578·
 2009 10  5675.
 2009 11  4173.
 2009 12  679·
 2010 01 1978·
 2010 02 7697·
 2010 03 8105·
 2010 04 9110.
 2010 05 83106·
 2010 06 2391·
 2010 07 1383.
 2010 08 5485·
 2010 09 1384.
 2010 10 663.
 2010 11 9361.
 2010 12 881.
 2011 01  968.
 2011 02  5647.
 2011 03  1162·
 2011 04  6780.
 2011 05  9695.
 2011 06  2999.
 2011 07  5597·
 2011 08  50111·
 2011 09  25101·
 2011 10  889.
 2011 11  3874.
 2011 12  170·
 2012 01 7280.
 2012 02 9892.
 2012 03 98104.
 2012 04 88102·
 2012 05 3594.
 2012 06 3190·
 2012 07 9785.
 2012 08 793·
 2012 09 4292.
 2012 10 65105.
 2012 11 2397.
 2012 12 76112.
 2013 01  41101.
 2013 02  80108.
 2013 03  90105·
 2013 04  3995·
 2013 05  1094·
 2013 06  8378·
 2013 07  3682.
 2013 08  6683.
 2013 09  4896·


 2013 10  792.
 2013 11  22103.
 2013 12  50103.
 2014 01 80102·
 2014 02 7104.
 2014 03 37117.
 2014 04 11111·
 2014 05 5696·
 2014 06 6592.
 2014 07 95108·
 2014 08 93105·
 2014 09 54121.
 2014 10 88100·
 2014 11 32111.
 2014 12 6598.
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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 Level: Puerto Rican, Building and Grounds Cleaning and Maintenance Occupations: 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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