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 Series Title: Employment Level: Puerto Rican, Building and Grounds Cleaning and Maintenance Occupations: NSA
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 2000 01 4567·
 2000 02 1260·
 2000 03 3358.
 2000 04 5954.
 2000 05 6762.
 2000 06 3775·
 2000 07 4984.
 2000 08 1592.
 2000 09 2590.
 2000 10 2956·
 2000 11 3669·
 2000 12 3976.
 2001 01  6970·
 2001 02  7166·
 2001 03  561·
 2001 04  7445.
 2001 05  7350.
 2001 06  6768.
 2001 07  9558·
 2001 08  9099.
 2001 09  3876·
 2001 10  5172.
 2001 11  6759.
 2001 12  8163.
 2002 01 9060.
 2002 02 7958.
 2002 03 1167·
 2002 04 6574.
 2002 05 8091·
 2002 06 32103·
 2002 07 40111.
 2002 08 88107·
 2002 09 81111.
 2002 10 1793·
 2002 11 9075.
 2002 12 1883.
 2003 01  9657·
 2003 02  6551.
 2003 03  2558·
 2003 04  5063.
 2003 05  4882·
 2003 06  3468.
 2003 07  3368.
 2003 08  282·
 2003 09  8969·
 2003 10  6107.
 2003 11  26112.
 2003 12  19103·
 2004 01 9565·
 2004 02 8557·
 2004 03 4377·
 2004 04 6956·
 2004 05 6476.
 2004 06 592.
 2004 07 4799·
 2004 08 48101·
 2004 09 2490·
 2004 10 2289·
 2004 11 2569·
 2004 12 73100.
 2005 01  2393·
 2005 02  1893.
 2005 03  9096.
 2005 04  90100.
 2005 05  3895·
 2005 06  9887·
 2005 07  8077·
 2005 08  6888.
 2005 09  7095·
 2005 10  96108.
 2005 11  5894·
 2005 12  9975·
 2006 01 4287.
 2006 02 6689.
 2006 03 12122·
 2006 04 5106·
 2006 05 689.
 2006 06 9290·
 2006 07 5578·
 2006 08 28105·
 2006 09 3790.
 2006 10 8088·
 2006 11 2574·
 2006 12 3878·
 2007 01  3691.
 2007 02  6174.
 2007 03  8487.
 2007 04  2986.
 2007 05  2886.
 2007 06  9389·
 2007 07  2195.
 2007 08  2193.
 2007 09  6375.
 2007 10  5577·
 2007 11  4899·
 2007 12  5783.
 2008 01 1695.
 2008 02 5774.
 2008 03 362·
 2008 04 688.
 2008 05 8986.
 2008 06 2891.
 2008 07 5088.
 2008 08 6363.
 2008 09 674·
 2008 10 2583·
 2008 11 7569·
 2008 12 4785·
 2009 01  1880.
 2009 02  3182·
 2009 03  9391.
 2009 04  275.
 2009 05  195.
 2009 06  5269.
 2009 07  4096·
 2009 08  9797.
 2009 09  5478·
 2009 10  1975.
 2009 11  8073·
 2009 12  2679.
 2010 01 378.
 2010 02 9097·
 2010 03 1105.
 2010 04 8110.
 2010 05 98106·
 2010 06 4591.
 2010 07 1583·
 2010 08 8885.
 2010 09 1584·
 2010 10 9263.
 2010 11 6061·
 2010 12 3481.
 2011 01  5568.
 2011 02  6247·
 2011 03  062·
 2011 04  4280·
 2011 05  4295.
 2011 06  1199·
 2011 07  2297·
 2011 08  29111·
 2011 09  26101.
 2011 10  2289·
 2011 11  3874·
 2011 12  4070·
 2012 01 8580·
 2012 02 192.
 2012 03 88104·
 2012 04 44102·
 2012 05 1794·
 2012 06 7990·
 2012 07 3485·
 2012 08 3693·
 2012 09 4892.
 2012 10 14105.
 2012 11 6397.
 2012 12 34112·
 2013 01  29101.
 2013 02  87108.
 2013 03  89105.
 2013 04  8395.


 2013 05  3594·
 2013 06  478·
 2013 07  5082·
 2013 08  5283·
 2013 09  6696·
 2013 10  9892·
 2013 11  8103.
 2013 12  34103.
 2014 01 47102.
 2014 02 24104·
 2014 03 51117·
 2014 04 50111.
 2014 05 3096.
 2014 06 6592·
 2014 07 92108.
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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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