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 Series Title: Labor Force Participation Rate: White Men: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 7371·0
 2012 03 9971.1
 2012 02 8871·2
 2012 01 171.1
 2011 12  2071·2
 2011 11  3071·3
 2011 10  1971.3
 2011 09  471·3
 2011 08  8271.2
 2011 07  1071·2
 2011 06  171.3
 2011 05  5671·4
 2011 04  1271·2
 2011 03  2071·1
 2011 02  4771·3
 2011 01  071·2
 2010 12 8371·5
 2010 11 6771·6
 2010 10 9471.6
 2010 09 772.0
 2010 08 9772·1
 2010 07 8272·1
 2010 06 672·0
 2010 05 7072·2
 2010 04 7972·6
 2010 03 2272·1
 2010 02 7072.0
 2010 01 871.9
 2009 12  7971·8
 2009 11  6972.4
 2009 10  072.7
 2009 09  6572.7
 2009 08  7373.0
 2009 07  2973.0
 2009 06  3373.2
 2009 05  1173.4
 2009 04  6173.1
 2009 03  3472·9
 2009 02  3373.2
 2009 01  4073·3
 2008 12 6973.3
 2008 11 4173·5
 2008 10 8673·7
 2008 09 7073.6
 2008 08 4673.6
 2008 07 3174.0
 2008 06 673·7
 2008 05 4673·9
 2008 04 6873.7
 2008 03 1073.8
 2008 02 3173·9
 2008 01 3774·1
 2007 12  3773·9
 2007 11  1273.8
 2007 10  2473·7
 2007 09  3873·7
 2007 08  7673.5
 2007 07  9173.8
 2007 06  7274.1
 2007 05  6774.1
 2007 04  3674.3
 2007 03  3074.4
 2007 02  8974·5
 2007 01  6874.6
 2006 12 9474.6
 2006 11 3674.3
 2006 10 1274·3
 2006 09 1174·1
 2006 08 4874.2
 2006 07 4074·0
 2006 06 474·2
 2006 05 9074.3
 2006 04 2674.3
 2006 03 9874.4
 2006 02 5474.3
 2006 01 2374.4
 2005 12  7674·0
 2005 11  9373·9
 2005 10  7374·0
 2005 09  5674·0
 2005 08  7474.2
 2005 07  3174.1
 2005 06  174·1
 2005 05  5774.2
 2005 04  2274·2
 2005 03  4474.1
 2005 02  9974.1
 2005 01  2073.9
 2004 12 4374·0
 2004 11 8774·2
 2004 10 5774·1
 2004 09 6573·8
 2004 08 8974·2
 2004 07 4474·4
 2004 06 8574.1
 2004 05 3574.0
 2004 04 3574·1
 2004 03 2073·9
 2004 02 2474·1
 2004 01 074·3
 2003 12  8174·2
 2003 11  4874·4
 2003 10  3474·1
 2003 09  5474.2
 2003 08  5374·1
 2003 07  8374.3
 2003 06  574.3
 2003 05  1674·1
 2003 04  174.4
 2003 03  874·1
 2003 02  4974·4
 2003 01  3174·2
 2002 12 174·3
 2002 11 2974·5
 2002 10 474.7
 2002 09 6674·9
 2002 08 5274.8
 2002 07 7774.9
 2002 06 3374.8
 2002 05 1775·0
 2002 04 8174.8
 2002 03 1174.7
 2002 02 2474·9
 2002 01 374·7
 2001 12  3875·0
 2001 11  1075.0
 2001 10  9075.1
 2001 09  6775·1
 2001 08  9774·9
 2001 07  8175·0
 2001 06  6875·0
 2001 05  7975.0
 2001 04  6075.3
 2001 03  5875·5
 2001 02  2275.5
 2001 01  3475.7
 2000 12 5275.3
 2000 11 9575.1
 2000 10 4075·2
 2000 09 4975·3
 2000 08 2375·6
 2000 07 7475.2
 2000 06 3375·5
 2000 05 7075.4
 2000 04 4875.6
 2000 03 375·9
 2000 02 4176.0
 2000 01 6575.9
 1999 12  2975.5
 1999 11  1375·4
 1999 10  2675·3
 1999 09  2975·4
 1999 08  9075·6
 1999 07  6175.6
 1999 06  7675·5
 1999 05  8075.5
 1999 04  8275.5
 1999 03  2775.7
 1999 02  375·8
 1999 01  6375.8
 1998 12 8075·7
 1998 11 2075·7
 1998 10 4775·7
 1998 09 4875.7
 1998 08 8475.5
 1998 07 6975.5
 1998 06 6975·5
 1998 05 2775·7
 1998 04 2175·5
 1998 03 3375.6
 1998 02 5775·7
 1998 01 2175.7
 1997 12  4075.8
 1997 11  9376·0
 1997 10  2575·8
 1997 09  7375.7
 1997 08  1675.8
 1997 07  5575·8
 1997 06  1175.9
 1997 05  5375·8
 1997 04  5176·0
 1997 03  5175·9
 1997 02  7675.8
 1997 01  5475.9
 1996 12 6975·8
 1996 11 3875·8
 1996 10 1076·1
 1996 09 9775.8
 1996 08 2275.7
 1996 07 9776·0
 1996 06 2475·9
 1996 05 2475.9
 1996 04 8375.8
 1996 03 3575·7
 1996 02 5875.8
 1996 01 575·6
 1995 12  5475·5
 1995 11  8375.5
 1995 10  7375.7
 1995 09  3575.8
 1995 08  6175.6
 1995 07  9975.7
 1995 06  5875.7
 1995 05  3275·6
 1995 04  5275·9
 1995 03  6376.0
 1995 02  2676·0
 1995 01  4176.1
 1994 12 576.2
 1994 11 8476·0
 1994 10 1476·0
 1994 09 3075.8
 1994 08 1976·0
 1994 07 9175·7
 1994 06 8575·5
 1994 05 9575·6
 1994 04 2075·8
 1994 03 4275·6
 1994 02 2775.9
 1994 01 5376.1
 1993 12  5775.9
 1993 11  1875.9
 1993 10  5476.3
 1993 09  4976.0
 1993 08  776.4
 1993 07  2776·4
 1993 06  276·4
 1993 05  5376.2
 1993 04  7076·2
 1993 03  9976.3
 1993 02  3676·2
 1993 01  5876.2
 1992 12 7176·3
 1992 11 9176.2
 1992 10 4276·3
 1992 09 8376.6
 1992 08 6176.6
 1992 07 8676.7
 1992 06 3476·8
 1992 05 7376·7
 1992 04 1576·6
 1992 03 8976·4
 1992 02 5076·3
 1992 01 9776.4
 1991 12  3376.1
 1991 11  3276.3
 1991 10  5276.4
 1991 09  4976·5
 1991 08  4076·4
 1991 07  7376·6
 1991 06  2876.6
 1991 05  4876.6
 1991 04  8876·8
 1991 03  9276·7
 1991 02  9176.7
 1991 01  3976.7
 1990 12 5276·9
 1990 11 9676.9
 1990 10 8076·9
 1990 09 8976.8
 1990 08 3277·1
 1990 07 1777·0
 1990 06 5777.0
 1990 05 9577·1
 1990 04 5277·2
 1990 03 1177·3
 1990 02 977.4
 1990 01 7377·5
 1989 12  6577.1
 1989 11  6077.2
 1989 10  5177·2
 1989 09  7076.8
 1989 08  4577.2
 1989 07  7277.2
 1989 06  1977.3
 1989 05  5477·0
 1989 04  9277.3
 1989 03  7677.2
 1989 02  7777·0
 1989 01  1877·2
 1988 12 3276·8
 1988 11 3176·9
 1988 10 1276.8
 1988 09 8376.9
 1988 08 1577·1
 1988 07 1776·9
 1988 06 3776·9
 1988 05 9376·9
 1988 04 1876·8
 1988 03 4276.7
 1988 02 9176·9
 1988 01 1576·8
 1987 12  3976.8
 1987 11  3676.7
 1987 10  3676·9
 1987 09  4676.7
 1987 08  476·8
 1987 07  5776.6
 1987 06  6076.7
 1987 05  377.1
 1987 04  6576.7
 1987 03  8776·9
 1987 02  7677·0
 1987 01  3177.0
 1986 12 9677.1
 1986 11 3177.1
 1986 10 2276·9
 1986 09 077.0
 1986 08 9776.8
 1986 07 2276.9
 1986 06 6077.0
 1986 05 276.8
 1986 04 9476·8
 1986 03 1676.9
 1986 02 7976·9
 1986 01 5876.9
 1985 12  3876·8
 1985 11  9476·9
 1985 10  9177·2
 1985 09  1177·0
 1985 08  476·8
 1985 07  6476·9
 1985 06  3577.0
 1985 05  3177.1
 1985 04  9277.1
 1985 03  5877.0
 1985 02  7376.9
 1985 01  1276·9
 1984 12 2777·2
 1984 11 3177·1
 1984 10 9477·0
 1984 09 7277·2
 1984 08 6076·9
 1984 07 6577·1
 1984 06 977·5
 1984 05 5777.0
 1984 04 6777.0
 1984 03 6777.0
 1984 02 5776.9
 1984 01 3576.9
 1983 12  4877·2
 1983 11  6977.3
 1983 10  177·2
 1983 09  077·3
 1983 08  2777.4
 1983 07  2777.4
 1983 06  2977.5
 1983 05  7276.9
 1983 04  5676.8
 1983 03  2476.7
 1983 02  5476·8
 1983 01  9476.7
 1982 12 1177.3
 1982 11 6477.5
 1982 10 1377·6
 1982 09 3677·6
 1982 08 9077.4
 1982 07 8177·3
 1982 06 6977·4
 1982 05 9277·8
 1982 04 2077·5
 1982 03 3177.4
 1982 02 1177.5
 1982 01 8177.4
 1981 12  5277·5
 1981 11  9577.6
 1981 10  5077.6
 1981 09  4777·5
 1981 08  5977·7
 1981 07  8177.7
 1981 06  2677.7
 1981 05  6078·4
 1981 04  4478.3
 1981 03  1978·3
 1981 02  178.3
 1981 01  1378·1
 1980 12 3177·7
 1980 11 6678·0
 1980 10 6378.0
 1980 09 2577·9
 1980 08 7178.1
 1980 07 578.3
 1980 06 2478·3
 1980 05 4178·6
 1980 04 3878.4
 1980 03 4178·5
 1980 02 2378·8
 1980 01 3178.6
 1979 12  3478·5
 1979 11  778·3
 1979 10  2378·2
 1979 09  8778.5
 1979 08  8478·3
 1979 07  5878·6
 1979 06  1178·5
 1979 05  2978·3
 1979 04  3878.6
 1979 03  7778.8
 1979 02  079.2
 1979 01  279.1
 1978 12 7278·7
 1978 11 7178.6
 1978 10 2878.4
 1978 09 7478·3
 1978 08 8678·7
 1978 07 7078.4
 1978 06 5978.8
 1978 05 4078.5
 1978 04 578.5
 1978 03 3278.4
 1978 02 7978·6
 1978 01 1878.6
 1977 12  8078.7
 1977 11  3878·8
 1977 10  378·7
 1977 09  5378·2
 1977 08  8778·5
 1977 07  9578.3
 1977 06  6778·7
 1977 05  1478.4
 1977 04  2478.4
 1977 03  3478·3
 1977 02  3578·4
 1977 01  9678.0
 1976 12 1978.3
 1976 11 1278.4
 1976 10 9478.4
 1976 09 1778·4
 1976 08 2178·6
 1976 07 1278·5
 1976 06 5878.3
 1976 05 2178·4
 1976 04 678.5
 1976 03 3878·2
 1976 02 6478·2
 1976 01 7878·2
 1975 12  7478.0
 1975 11  2478·2
 1975 10  7578·4
 1975 09  8178·6
 1975 08  5078·7
 1975 07  2578·9
 1975 06  7978.8
 1975 05  5079·1
 1975 04  8678·8
 1975 03  2378·8
 1975 02  9078·7
 1975 01  2978.9
 1974 12 5679·1
 1974 11 2679.3
 1974 10 4479·4
 1974 09 8879·4
 1974 08 6079·2
 1974 07 6379.1
 1974 06 579·4
 1974 05 2079.4
 1974 04 2479·3
 1974 03 9479.5
 1974 02 6079.8
 1974 01 4479.9
 1973 12  9979·6
 1973 11  9879·5
 1973 10  2479·4
 1973 09  479·3
 1973 08  6079·2
 1973 07  8279·5
 1973 06  3279.6
 1973 05  7179·2
 1973 04  779.5
 1973 03  7979·7
 1973 02  4979.4
 1973 01  3779.1
 1972 12 6679.5
 1972 11 4479.4
 1972 10 6279·6
 1972 09 2279·7
 1972 08 8779·7
 1972 07 6079.5
 1972 06 8579·6
 1972 05 7079.4
 1972 04 4579·5
 1972 03 3379·6
 1972 02 5479.4
 1972 01 5179.6
 1971 12  4179.7
 1971 11  9579.7
 1971 10  3379.5
 1971 09  5879.5
 1971 08  179.8
 1971 07  279.8
 1971 06  1079.4
 1971 05  1079.9
 1971 04  7379.7
 1971 03  3679.3
 1971 02  9879·5
 1971 01  5279·8
 1970 12 3579.9
 1970 11 380.0
 1970 10 3479.9
 1970 09 5379.9
 1970 08 8779.8
 1970 07 3680·0
 1970 06 8280·0
 1970 05 780·3
 1970 04 5380.3
 1970 03 9180·4
 1970 02 2980·3
 1970 01 3380.1
 1969 12  8480.0
 1969 11  4980.1
 1969 10  8880·2
 1969 09  7580.4
 1969 08  5680.3
 1969 07  1880·1
 1969 06  9780.1
 1969 05  380.0
 1969 04  6880.2
 1969 03  2880.3
 1969 02  2080.3
 1969 01  1080·1
 1968 12 4780·3
 1968 11 3780.0
 1968 10 4380.2
 1968 09 1680·2
 1968 08 4380·7
 1968 07 2680.6
 1968 06 8080.8
 1968 05 6580.4
 1968 04 3180·2
 1968 03 180.2
 1968 02 6980.4
 1968 01 2580.1
 1967 12  1280.6
 1967 11  9580.6
 1967 10  7280·7
 1967 09  9280.6
 1967 08  1081.0
 1967 07  6580·8
 1967 06  7880.8
 1967 05  8480.5
 1967 04  7780·4
 1967 03  9080.4
 1967 02  9980·6
 1967 01  4580.7
 1966 12 8780·7
 1966 11 7980·6
 1966 10 7480·5
 1966 09 4580·3
 1966 08 4180.5
 1966 07 6380·5
 1966 06 6480·8
 1966 05 7780·5
 1966 04 6580.7
 1966 03 9980.7
 1966 02 5980.5
 1966 01 6180·7
 1965 12  980·7
 1965 11  6880·3
 1965 10  7180·6
 1965 09  4280·5
 1965 08  4880·8
 1965 07  7681.0
 1965 06  3780.7
 1965 05  8781.3
 1965 04  8281·1
 1965 03  5780.9
 1965 02  2181.1
 1965 01  9180·8
 1964 12 3880.8
 1964 11 6580·8
 1964 10 1181·0
 1964 09 7481·2
 1964 08 6581·1
 1964 07 8381·2
 1964 06 1981·1
 1964 05 7981·4
 1964 04 3981·4
 1964 03 1881.1
 1964 02 8481.1
 1964 01 7681·1
 1963 12  6081.1
 1963 11  181·5
 1963 10  6781·4
 1963 09  5981·5
 1963 08  5381.4
 1963 07  8881.6
 1963 06  5881·4
 1963 05  4681.4
 1963 04  7081.5
 1963 03  6281·5
 1963 02  6981·6
 1963 01  8381·5
 1962 12 8581.6
 1962 11 2881·6
 1962 10 3881·9
 1962 09 3882.1
 1962 08 9982.1
 1962 07 2081·7
 1962 06 2882.3
 1962 05 582·4
 1962 04 3682.2
 1962 03 9382·6
 1962 02 2782·6
 1962 01 382.4
 1961 12  4982·7
 1961 11  2882.7
 1961 10  4782·6
 1961 09  7882.5
 1961 08  1183·0
 1961 07  3383·0
 1961 06  2783.2
 1961 05  9783.0
 1961 04  2482·9
 1961 03  4083·2
 1961 02  2983.0
 1961 01  5583.4
 1960 12 1283.3
 1960 11 483·6
 1960 10 4183·3
 1960 09 7083.4
 1960 08 2783·2
 1960 07 883.1
 1960 06 7683.3
 1960 05 8983·4
 1960 04 4383·7
 1960 03 5783·1
 1960 02 7383·6
 1960 01 7883.8
 1959 12  6183·9
 1959 11  8583.6
 1959 10  9483·8
 1959 09  3383·9
 1959 08  683.6
 1959 07  4783·9
 1959 06  2683·5
 1959 05  7283·7
 1959 04  2984·0
 1959 03  2583·7
 1959 02  8383·7
 1959 01  4183.8
 1958 12 483.8
 1958 11 2684.0
 1958 10 384.6
 1958 09 784.6
 1958 08 3484.8
 1958 07 8184.6
 1958 06 4884.3
 1958 05 6584·6
 1958 04 4284.4
 1958 03 4784.0
 1958 02 784·2
 1958 01 3484.2
 1957 12  7984·6
 1957 11  584.5
 1957 10  9284·6
 1957 09  5984·8
 1957 08  2184.6
 1957 07  6385.0
 1957 06  4185·3
 1957 05  884·8
 1957 04  6885·0
 1957 03  5285.2
 1957 02  1785.2
 1957 01  7685·0
 1956 12 4685·2
 1956 11 2885·3
 1956 10 885.0
 1956 09 8185·3
 1956 08 485·3
 1956 07 7485·4
 1956 06 2785.6
 1956 05 6885.7
 1956 04 1885·7
 1956 03 9585·9
 1956 02 1285·9
 1956 01 686.3
 1955 12  8985·8
 1955 11  2485.8
 1955 10  2685·6
 1955 09  9085·4
 1955 08  4285.3
 1955 07  1785·2
 1955 06  5684.8
 1955 05  3785.2
 1955 04  2885.5
 1955 03  5585.1
 1955 02  1585.1
 1955 01  9485.2
 1954 12 2184·8
 1954 11 4685.1
 1954 10 4285·3
 1954 09 2786·0
 1954 08 2285·9
 1954 07 2185.3
 1954 06 9985·1
 1954 05 3385.6
 1954 04 5686·0
 1954 03 3785.9
 1954 02 7486.5
 1954 01 2986·1
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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: Labor Force Participation Rate: White Men: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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