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 Series Title: Employment-Population Ratio: 25-54 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1948 01 1461.7
 1948 02 8961.8
 1948 03 1962.0
 1948 04 8162.5
 1948 05 7762·8
 1948 06 1063.8
 1948 07 8863·5
 1948 08 4563.0
 1948 09 9963.8
 1948 10 2364·0
 1948 11 5163·8
 1948 12 263.4
 1949 01  3261·8
 1949 02  1061·6
 1949 03  2261.9
 1949 04  9661·8
 1949 05  5062·5
 1949 06  7762.6
 1949 07  3961.7
 1949 08  9561·9
 1949 09  5562.3
 1949 10  5762·1
 1949 11  6362·7
 1949 12  9461.9
 1950 01 7260·7
 1950 02 560·7
 1950 03 8461·2
 1950 04 1262·1
 1950 05 5162.9
 1950 06 463·8
 1950 07 1562·8
 1950 08 9363·6
 1950 09 6763.8
 1950 10 6064·6
 1950 11 9264·4
 1950 12 663·7
 1951 01  2063.1
 1951 02  463·1
 1951 03  7963·9
 1951 04  4663·9
 1951 05  3864.8
 1951 06  9464.3
 1951 07  6364.5
 1951 08  3164·4
 1951 09  6864.8
 1951 10  1165.7
 1951 11  5965.3
 1951 12  665·2
 1952 01 8864·2
 1952 02 6164·3
 1952 03 364.7
 1952 04 4064·6
 1952 05 9765·4
 1952 06 7765·3
 1952 07 5864.5
 1952 08 2664·5
 1952 09 2165·8
 1952 10 1465·7
 1952 11 1365.9
 1952 12 8565.6
 1953 01  1064·9
 1953 02  5564.9
 1953 03  8065.4
 1953 04  6065.1
 1953 05  3965·2
 1953 06  765·7
 1953 07  9865·1
 1953 08  2165·2
 1953 09  1065.6
 1953 10  066·1
 1953 11  2866·0
 1953 12  6164.6
 1954 01 4763·3
 1954 02 9163.7
 1954 03 5963.5
 1954 04 9963.6
 1954 05 064.1
 1954 06 6363·9
 1954 07 463·3
 1954 08 8163·3
 1954 09 4664.3
 1954 10 2264·7
 1954 11 064·7
 1954 12 7464·1
 1955 01  8463·6
 1955 02  9863.6
 1955 03  1263·8
 1955 04  7464.4
 1955 05  4165·4
 1955 06  5065.5
 1955 07  2565·5
 1955 08  9865.8
 1955 09  6566.4
 1955 10  5966.7
 1955 11  5466.3
 1955 12  9366·0
 1956 01 3365·1
 1956 02 3164.8
 1956 03 3765·0
 1956 04 2565·6
 1956 05 4566.3
 1956 06 9866.2
 1956 07 3565.6
 1956 08 9065.9
 1956 09 2766·7
 1956 10 1667.1
 1956 11 3766.5
 1956 12 765.8
 1957 01  2864.5
 1957 02  6865.2
 1957 03  5765·6
 1957 04  2065.9
 1957 05  2566.5
 1957 06  5966.3
 1957 07  3166·2
 1957 08  9865·9
 1957 09  1866.7
 1957 10  2267.1
 1957 11  2366.3
 1957 12  3565·5
 1958 01 3163·9
 1958 02 1363.4
 1958 03 2063.6
 1958 04 5164.1
 1958 05 1664·8
 1958 06 1464·5
 1958 07 3664.3
 1958 08 8964·6
 1958 09 4765·5
 1958 10 3266·1
 1958 11 965.7
 1958 12 1965.1
 1959 01  2664.1
 1959 02  9764·1
 1959 03  065.0
 1959 04  3465·8
 1959 05  7866.5
 1959 06  6766.4
 1959 07  9965·8
 1959 08  5565.5
 1959 09  5266·1
 1959 10  2466.7
 1959 11  1865·9
 1959 12  2465·8
 1960 01 2564.5
 1960 02 7464·9
 1960 03 9564·7
 1960 04 1266·0
 1960 05 9666·7
 1960 06 4866.4
 1960 07 9365.8
 1960 08 1265.8
 1960 09 9266·9
 1960 10 366·6
 1960 11 9966·3
 1960 12 4365.1
 1961 01  6264·0
 1961 02  2263.9
 1961 03  2764.8
 1961 04  5065.3
 1961 05  8265·8
 1961 06  1065.9
 1961 07  1465·0
 1961 08  264.9
 1961 09  5365.8
 1961 10  9966·6
 1961 11  2466.1
 1961 12  9365.3
 1962 01 9964.5
 1962 02 4665.0
 1962 03 4465.4
 1962 04 4165.8
 1962 05 7166·7
 1962 06 3266·2
 1962 07 8865.6
 1962 08 9265·9
 1962 09 4566.9
 1962 10 6567·2
 1962 11 9266.7
 1962 12 1565.9
 1963 01  2164.9
 1963 02  7565·2
 1963 03  2065·9
 1963 04  266.6
 1963 05  2467.1
 1963 06  2066·8
 1963 07  6166.1
 1963 08  7566.0
 1963 09  567·1
 1963 10  8167.6
 1963 11  2567.3
 1963 12  7666.7
 1964 01 3865·6
 1964 02 6566·1
 1964 03 5366.4
 1964 04 7567.3
 1964 05 2568·0
 1964 06 267.3
 1964 07 666.6
 1964 08 6666·6
 1964 09 9167·4
 1964 10 5167·7
 1964 11 7367.6
 1964 12 6867.1
 1965 01  8766·4
 1965 02  9366.5
 1965 03  6567.0
 1965 04  2567·6
 1965 05  8668.1
 1965 06  3368.0
 1965 07  2267.4
 1965 08  767.4
 1965 09  9168·1
 1965 10  568·6
 1965 11  668·6
 1965 12  768.2
 1966 01 2667·3
 1966 02 6467·6
 1966 03 567.9
 1966 04 4668.4
 1966 05 4268·9
 1966 06 9268.4
 1966 07 3267.7
 1966 08 6667·8
 1966 09 1569.2
 1966 10 9669·6
 1966 11 2569.7
 1966 12 3769.2
 1967 01  4368.4
 1967 02  868.5
 1967 03  4668·5
 1967 04  5369·0
 1967 05  5469·0
 1967 06  8468·5
 1967 07  8468.3
 1967 08  3368.4
 1967 09  9769.3
 1967 10  569.9
 1967 11  5169·9
 1967 12  2269.9
 1968 01 4868·6
 1968 02 7969.0
 1968 03 8669·3
 1968 04 8969·5
 1968 05 770·0
 1968 06 3769·5
 1968 07 5168.7
 1968 08 2768.6
 1968 09 069.7
 1968 10 3570·1
 1968 11 3370·3
 1968 12 5670.2
 1969 01  7669.4
 1969 02  5669.8
 1969 03  4769.8
 1969 04  2069.9
 1969 05  1270.1
 1969 06  569.6
 1969 07  3069.1
 1969 08  8869.3
 1969 09  770·2
 1969 10  1670.8
 1969 11  4470·8
 1969 12  5570.8
 1970 01 8869.8
 1970 02 4369.7
 1970 03 7969·9
 1970 04 3870.2
 1970 05 469.9
 1970 06 6969·4
 1970 07 4568.8
 1970 08 8468·7
 1970 09 3169.4
 1970 10 170·0
 1970 11 8270.0
 1970 12 6069·5
 1971 01  6968.7
 1971 02  7068.9
 1971 03  5368.8
 1971 04  6169.0
 1971 05  4469·3
 1971 06  3368.8
 1971 07  4568·1
 1971 08  668·2
 1971 09  569.3
 1971 10  7169.8
 1971 11  7069.9
 1971 12  3969.6
 1972 01 3068.9
 1972 02 9169·1
 1972 03 6869·5
 1972 04 2969.6
 1972 05 1769·7
 1972 06 2569·1
 1972 07 168.7
 1972 08 7168·8
 1972 09 9269.8
 1972 10 2970·3
 1972 11 5670·3
 1972 12 8370·4
 1973 01  669.3
 1973 02  8569.8
 1973 03  4870.0
 1973 04  1070.4
 1973 05  3470·6
 1973 06  070·2
 1973 07  1270·0
 1973 08  2169.8
 1973 09  7671·1
 1973 10  571.8
 1973 11  1371·8
 1973 12  971·4
 1974 01 5870.5
 1974 02 5770.6
 1974 03 3970·7
 1974 04 9570·7
 1974 05 3071.3
 1974 06 3870·7
 1974 07 270·4
 1974 08 2270.3
 1974 09 6871.2
 1974 10 5471.6
 1974 11 4071.1
 1974 12 6070·4
 1975 01  7268.8
 1975 02  3668.6
 1975 03  1668.8
 1975 04  169·0
 1975 05  6769·2
 1975 06  4268·8
 1975 07  1768·6
 1975 08  6769·0
 1975 09  470·0
 1975 10  5470·7
 1975 11  5870·4
 1975 12  070.1
 1976 01 5869.6
 1976 02 7769·7
 1976 03 7570·2
 1976 04 7170·7
 1976 05 2970·9
 1976 06 4370.4
 1976 07 3269·8
 1976 08 7270·2
 1976 09 4371.2
 1976 10 971·7
 1976 11 1771.6
 1976 12 2471·4
 1977 01  5170·4
 1977 02  5770.7
 1977 03  4171·2
 1977 04  7071·7
 1977 05  2772.1
 1977 06  9371·6
 1977 07  4471.1
 1977 08  7971·3
 1977 09  7372·7
 1977 10  5073.1
 1977 11  8873.3
 1977 12  4773.2
 1978 01 1372·5
 1978 02 8372.8
 1978 03 6273·2
 1978 04 9173·6
 1978 05 9773·6
 1978 06 7473·2
 1978 07 7772.7
 1978 08 5572.8
 1978 09 274·4
 1978 10 3074.9
 1978 11 7274.9
 1978 12 1074.6
 1979 01  2873.7
 1979 02  8274·0
 1979 03  974.4
 1979 04  5074·3
 1979 05  9974.6
 1979 06  8874.1
 1979 07  7774.1
 1979 08  9274·1
 1979 09  6875·5
 1979 10  2875·7
 1979 11  8975·4
 1979 12  8275·6
 1980 01 774·6
 1980 02 1074·7
 1980 03 8274.7
 1980 04 8974·5
 1980 05 1974·4
 1980 06 6573·7
 1980 07 2073.1
 1980 08 673·3
 1980 09 2974.6
 1980 10 5074·9
 1980 11 8974·9
 1980 12 5474·7
 1981 01  8773.9
 1981 02  4674·2
 1981 03  474·8
 1981 04  7575·1
 1981 05  6875·4
 1981 06  6074.5
 1981 07  174.2
 1981 08  3974.2
 1981 09  7275·0
 1981 10  2375·3
 1981 11  4475.1
 1981 12  4174.3
 1982 01 2673.4
 1982 02 9373·7
 1982 03 2273.7
 1982 04 073.7
 1982 05 8074·1
 1982 06 5173·4
 1982 07 4573.1
 1982 08 5973.2
 1982 09 873·7
 1982 10 473.8
 1982 11 5373.4
 1982 12 8873.0
 1983 01  1272.2
 1983 02  8272·2
 1983 03  972·6
 1983 04  8073.1
 1983 05  1673.4
 1983 06  4473·4
 1983 07  073.4
 1983 08  5673·8
 1983 09  7274·9
 1983 10  7075.1
 1983 11  3975.3
 1983 12  5975.0
 1984 01 5474·2
 1984 02 6774·7
 1984 03 6475.2
 1984 04 5875·5
 1984 05 6276·3
 1984 06 6776·0
 1984 07 3875.6
 1984 08 4875·9
 1984 09 2476.5
 1984 10 2676·9
 1984 11 4976.7
 1984 12 4776.5
 1985 01  8775.7
 1985 02  2676·0
 1985 03  976.4
 1985 04  076·5
 1985 05  2976.8
 1985 06  7476.4
 1985 07  5876·1
 1985 08  7676.4
 1985 09  5077·4
 1985 10  277·7
 1985 11  5677·6
 1985 12  6977.3
 1986 01 7476·7
 1986 02 6576·4
 1986 03 9476·8
 1986 04 9877·0
 1986 05 5277·3
 1986 06 4677.1
 1986 07 8277·0
 1986 08 777.2
 1986 09 6078.0
 1986 10 5178·3
 1986 11 6078·1
 1986 12 6678.0
 1987 01  9877.1
 1987 02  1277.4
 1987 03  8977.7
 1987 04  6878·2
 1987 05  9278.7
 1987 06  8578.3
 1987 07  5978·1
 1987 08  3378.2
 1987 09  9179.0
 1987 10  5379.3
 1987 11  8279·3
 1987 12  579.0
 1988 01 7178·2
 1988 02 2278.4
 1988 03 9578·8
 1988 04 5379·2
 1988 05 3379.4
 1988 06 2378.9
 1988 07 6278·9
 1988 08 7278·9
 1988 09 279·6
 1988 10 1380·1
 1988 11 7180.1
 1988 12 7979.8
 1989 01  2979.4
 1989 02  7479.4
 1989 03  3479.5
 1989 04  2079.8
 1989 05  8880·1
 1989 06  1279·8
 1989 07  8979·5
 1989 08  6379·6
 1989 09  8080.3
 1989 10  5980.6
 1989 11  9980·7
 1989 12  480.3
 1990 01 3179·4
 1990 02 7279.5
 1990 03 5379·7
 1990 04 6079.8
 1990 05 9080·3
 1990 06 3279.9
 1990 07 6279·5
 1990 08 7679.4
 1990 09 3479·8
 1990 10 4680.1
 1990 11 6679.6
 1990 12 2179·1
 1991 01  6378.1
 1991 02  4678·2
 1991 03  2678·3
 1991 04  8978.9
 1991 05  279·0
 1991 06  8878·8
 1991 07  3178·5
 1991 08  078.4
 1991 09  179·0
 1991 10  5479·2
 1991 11  9378·8
 1991 12  9778.4
 1992 01 3677·6
 1992 02 5077·5
 1992 03 5177.9
 1992 04 5078·4
 1992 05 778·7
 1992 06 878.6
 1992 07 6778.3
 1992 08 5378·2
 1992 09 4078.6
 1992 10 8578.9
 1992 11 3078·6
 1992 12 2578·3
 1993 01  8577.5
 1993 02  6377·6
 1993 03  5178.0
 1993 04  1078.2
 1993 05  1878.8
 1993 06  4878.6
 1993 07  7078·4
 1993 08  7778.5
 1993 09  3879.0
 1993 10  7179.3
 1993 11  4879·4
 1993 12  2179.3
 1994 01 7178.2
 1994 02 9078.4
 1994 03 7478·7
 1994 04 6078·9
 1994 05 6979·5
 1994 06 8578·8
 1994 07 6178.9
 1994 08 3979·0
 1994 09 580.0
 1994 10 6580·2
 1994 11 4780·3
 1994 12 2780.0
 1995 01  8079·0
 1995 02  5979·5
 1995 03  9479·7
 1995 04  1779·8
 1995 05  2080·0
 1995 06  2679.5
 1995 07  9079.5
 1995 08  3079·4
 1995 09  7680.1
 1995 10  4680·4
 1995 11  4880.2
 1995 12  979.9
 1996 01 2279.1
 1996 02 2679·5
 1996 03 779·7
 1996 04 2379·9
 1996 05 5980.2
 1996 06 9880·0
 1996 07 2880·1
 1996 08 6780·3
 1996 09 1280.8
 1996 10 1881.2
 1996 11 181.0
 1996 12 6080.7
 1997 01  3279.9
 1997 02  6980·0
 1997 03  3780·5
 1997 04  4580·7
 1997 05  9480.8
 1997 06  5680.8
 1997 07  7580.8
 1997 08  9281·0
 1997 09  9981.4
 1997 10  1281·6
 1997 11  7881.5
 1997 12  9681·2
 1998 01 7180.4
 1998 02 9380.6
 1998 03 3380·9
 1998 04 7481·1
 1998 05 6281.3
 1998 06 8080.9
 1998 07 5380·8
 1998 08 7280·9
 1998 09 4781·5
 1998 10 8181·6
 1998 11 7781·7
 1998 12 5981.5
 1999 01  2581·3
 1999 02  2781.1
 1999 03  6781·2
 1999 04  2881.4
 1999 05  2381·6
 1999 06  7481·3
 1999 07  1180·8
 1999 08  9981·0
 1999 09  9181·6
 1999 10  581·9
 1999 11  2282.0
 1999 12  1681.7
 2000 01 481·3
 2000 02 2581.5
 2000 03 3781.6
 2000 04 4882.0
 2000 05 6381.8
 2000 06 6781.4
 2000 07 2180.9
 2000 08 8980.8
 2000 09 9381·4
 2000 10 8781.6
 2000 11 5981·7
 2000 12 5881·6
 2001 01  4480·9
 2001 02  6781.0
 2001 03  6781.2
 2001 04  081·0
 2001 05  9281.1
 2001 06  1380.5
 2001 07  8180.2
 2001 08  8480.0
 2001 09  3880.4
 2001 10  5880·4
 2001 11  6480.0
 2001 12  380·0
 2002 01 579.0
 2002 02 5779.5
 2002 03 479.5
 2002 04 7779.6
 2002 05 4679·6
 2002 06 9279.1
 2002 07 1478.7
 2002 08 5179.1
 2002 09 3579.7
 2002 10 7179.7
 2002 11 3279·1
 2002 12 9279.1
 2003 01  7378·4
 2003 02  2478·6
 2003 03  2178.9
 2003 04  9679·2
 2003 05  8579·1
 2003 06  878·8
 2003 07  6978·4
 2003 08  8178·5
 2003 09  2278·9
 2003 10  679·1
 2003 11  8879·1
 2003 12  9278·9
 2004 01 5978·4
 2004 02 2378·5
 2004 03 1778.6
 2004 04 9879·0
 2004 05 9579·2
 2004 06 9179.0
 2004 07 1978·9
 2004 08 9378·9
 2004 09 5879·3
 2004 10 6779·5
 2004 11 8079.5
 2004 12 9579·1
 2005 01  9778.6
 2005 02  3278·8
 2005 03  1578·9
 2005 04  5079·4
 2005 05  8779.7
 2005 06  9479.1
 2005 07  6179.1
 2005 08  2679·5
 2005 09  2979·8
 2005 10  8379·9
 2005 11  8079.6
 2005 12  1879·5
 2006 01 4879.1
 2006 02 5779.2
 2006 03 6279.5
 2006 04 4479.7
 2006 05 9579.9
 2006 06 9679·7
 2006 07 1879.5
 2006 08 4979·7
 2006 09 4680.2
 2006 10 980.7
 2006 11 8780·5
 2006 12 280.3
 2007 01  9979·8
 2007 02  2679·6
 2007 03  3279.9
 2007 04  9780.0
 2007 05  8180·2
 2007 06  379·8
 2007 07  4079·5
 2007 08  5379.8
 2007 09  4380.1
 2007 10  2480.2
 2007 11  2480.2
 2007 12  1479.9
 2008 01 5979·4
 2008 02 9379.3
 2008 03 2279·4
 2008 04 5079·7
 2008 05 3179·6
 2008 06 4479·3
 2008 07 9878·9
 2008 08 5478·8
 2008 09 8279.1
 2008 10 3279·1
 2008 11 3878.6
 2008 12 4677·7
 2009 01  6576·5
 2009 02  3976.1
 2009 03  5675·9
 2009 04  7076.3
 2009 05  5376.1
 2009 06  7275·8
 2009 07  9075.5
 2009 08  9575.5
 2009 09  4875·5
 2009 10  6275.6
 2009 11  375.6
 2009 12  1574·8
 2010 01 7674.6
 2010 02 6774.6
 2010 03 8274.8
 2010 04 5075.5
 2010 05 8575.3
 2010 06 6775·1
 2010 07 4174.8
 2010 08 4375·0
 2010 09 5275·4
 2010 10 7075·6
 2010 11 1775.2
 2010 12 6375·1
 2011 01  7874.6
 2011 02  774.6
 2011 03  7375·0
 2011 04  575.2
 2011 05  8775.4
 2011 06  3474.9
 2011 07  9774.8
 2011 08  8875.0
 2011 09  2975·3
 2011 10  3375.4
 2011 11  375.6
 2011 12  5675·4
 2012 01 8275.0
 2012 02 1275·1
 2012 03 2775·5
 2012 04 7875·8
 2012 05 4376·0
 2012 06 175·6
 2012 07 3375·4
 2012 08 4875·6
 2012 09 4076.3
 2012 10 5876.5
 2012 11 876.1
 2012 12 8675·9
 2013 01  2375·1
 2013 02  6375·4
 2013 03  6675·6
 2013 04  3676·1
 2013 05  6676.3
 2013 06  2375·9
 2013 07  4575·8
 2013 08  6675.9
 2013 09  7176·3
 2013 10  7176.0
 2013 11  776.3
 2013 12  7076.1
 2014 01 6275·9
 2014 02 6376·1
 2014 03 4076·4
 2014 04 6976.7
 2014 05 9076.8
 2014 06 8076·8
 2014 07 5776·4
 2014 08 676.7
 2014 09 3177.1
 2014 10 2977·3
 2014 11 9677·2
 2014 12 5077.0
 2015 01  8476·7
 2015 02  4276.9
 2015 03  2077·1
 2015 04  9677.4
 2015 05  7677.5
 2015 06  7577.2
 2015 07  1776·8
 2015 08  6277·1
 2015 09  5677.6
 2015 10  1077.5
 2015 11  077·7
 2015 12  9377.4
 2016 01 177·3
 2016 02 5477·6
 2016 03 677·9
 2016 04 5777.9
 2016 05 978.1
 2016 06 3877·8
 2016 07 9977.6
 2016 08 5077.6
 2016 09 878·3
 2016 10 1978.5
 2016 11 6578.4
 2016 12 9078·1
 2017 01  4677.8
 2017 02  7878·1
 2017 03  2078.4


 2017 04  2178·8
 2017 05  078.7
 2017 06  2378·4
 2017 07  9978·3
 2017 08  1278·1
 2017 09  7179.2
 2017 10  8579·1
 2017 11  6679.3
 2017 12  5879·1
 2018 01 8278.5
 2018 02 2079.1
 2018 03 1079.2
 2018 04 7779.3
 2018 05 8579·5
 2018 06 1079.2
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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

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      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-Population Ratio: 25-54 years: NSA
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