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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 3361.7
 1948 02 661·8
 1948 03 8962.0
 1948 04 9762·5
 1948 05 7062.8
 1948 06 4963·8
 1948 07 7763.5
 1948 08 2863·0
 1948 09 5663.8
 1948 10 7264.0
 1948 11 4863·8
 1948 12 3963.4
 1949 01  3961.8
 1949 02  5661·6
 1949 03  1361·9
 1949 04  7361.8
 1949 05  9662·5
 1949 06  962·6
 1949 07  1161.7
 1949 08  161·9
 1949 09  2662·3
 1949 10  6162.1
 1949 11  562·7
 1949 12  1661·9
 1950 01 5660·7
 1950 02 6960.7
 1950 03 8361·2
 1950 04 3862·1
 1950 05 3562.9
 1950 06 1563·8
 1950 07 5862.8
 1950 08 1063·6
 1950 09 4063·8
 1950 10 664·6
 1950 11 6664·4
 1950 12 263.7
 1951 01  6963.1
 1951 02  7363.1
 1951 03  7363.9
 1951 04  863·9
 1951 05  4964.8
 1951 06  7264·3
 1951 07  6464.5
 1951 08  4764·4
 1951 09  3064·8
 1951 10  8765.7
 1951 11  5465·3
 1951 12  6465·2
 1952 01 8864.2
 1952 02 2264.3
 1952 03 8064.7
 1952 04 2664.6
 1952 05 2365.4
 1952 06 1065.3
 1952 07 564·5
 1952 08 2964·5
 1952 09 6065.8
 1952 10 865.7
 1952 11 1765·9
 1952 12 9265.6
 1953 01  4964.9
 1953 02  9664.9
 1953 03  2865.4
 1953 04  5865·1
 1953 05  6765·2
 1953 06  8265·7
 1953 07  7765.1
 1953 08  9765·2
 1953 09  1365·6
 1953 10  9866.1
 1953 11  2766.0
 1953 12  364.6
 1954 01 1363·3
 1954 02 063·7
 1954 03 6563.5
 1954 04 9563.6
 1954 05 1764.1
 1954 06 6963·9
 1954 07 463·3
 1954 08 1863.3
 1954 09 164.3
 1954 10 1264·7
 1954 11 8264.7
 1954 12 4064.1
 1955 01  6563·6
 1955 02  6263.6
 1955 03  6363·8
 1955 04  5664·4
 1955 05  3465·4
 1955 06  7365·5
 1955 07  3365·5
 1955 08  8465·8
 1955 09  5966.4
 1955 10  2966·7
 1955 11  766.3
 1955 12  7066·0
 1956 01 1565.1
 1956 02 3664.8
 1956 03 2165·0
 1956 04 8165·6
 1956 05 366·3
 1956 06 2666.2
 1956 07 3965·6
 1956 08 1265·9
 1956 09 4866·7
 1956 10 5467.1
 1956 11 4866.5
 1956 12 8365.8
 1957 01  064·5
 1957 02  365·2
 1957 03  6265.6
 1957 04  3765·9
 1957 05  3566·5
 1957 06  7966.3
 1957 07  1866·2
 1957 08  4465.9
 1957 09  5366.7
 1957 10  1567·1
 1957 11  7966.3
 1957 12  9765·5
 1958 01 7963.9
 1958 02 6663.4
 1958 03 3363.6
 1958 04 1764.1
 1958 05 6564·8
 1958 06 1564.5
 1958 07 9464.3
 1958 08 4664·6
 1958 09 8465.5
 1958 10 6766·1
 1958 11 9865·7
 1958 12 5465.1
 1959 01  3964·1
 1959 02  5564·1
 1959 03  965.0
 1959 04  3665·8
 1959 05  5366.5
 1959 06  3566.4
 1959 07  1465·8
 1959 08  1065·5
 1959 09  7866·1
 1959 10  8966·7
 1959 11  2865.9
 1959 12  2165·8
 1960 01 8964.5
 1960 02 2464.9
 1960 03 8664.7
 1960 04 3766·0
 1960 05 8666.7
 1960 06 7066·4
 1960 07 5365.8
 1960 08 5365.8
 1960 09 9566·9
 1960 10 8666.6
 1960 11 1666.3
 1960 12 8865.1
 1961 01  6664·0
 1961 02  5263.9
 1961 03  8964.8
 1961 04  8765.3
 1961 05  7465.8
 1961 06  7565·9
 1961 07  865.0
 1961 08  1764·9
 1961 09  2065.8
 1961 10  8666.6
 1961 11  3766·1
 1961 12  7465.3
 1962 01 3064·5
 1962 02 4365·0
 1962 03 6465.4
 1962 04 7765·8
 1962 05 5266.7
 1962 06 2766·2
 1962 07 265·6
 1962 08 6965·9
 1962 09 6466·9
 1962 10 4567.2
 1962 11 8866.7
 1962 12 2065·9
 1963 01  6664.9
 1963 02  2865.2
 1963 03  8665·9
 1963 04  2466·6
 1963 05  8267·1
 1963 06  3266·8
 1963 07  8366.1
 1963 08  066·0
 1963 09  6367.1
 1963 10  4167.6
 1963 11  9267.3
 1963 12  9266.7
 1964 01 8565·6
 1964 02 5966·1
 1964 03 5166·4
 1964 04 6967.3
 1964 05 4768.0
 1964 06 2067·3
 1964 07 2466·6
 1964 08 2766·6
 1964 09 7667.4
 1964 10 7867·7
 1964 11 9767.6
 1964 12 8267.1
 1965 01  2266·4
 1965 02  1766.5
 1965 03  8467·0
 1965 04  8167.6
 1965 05  6068.1
 1965 06  4368.0
 1965 07  2367.4
 1965 08  9267·4
 1965 09  9068.1
 1965 10  8768·6
 1965 11  7668·6
 1965 12  868·2
 1966 01 3967·3
 1966 02 667·6
 1966 03 3267.9
 1966 04 5068·4
 1966 05 5568·9
 1966 06 8268.4
 1966 07 367.7
 1966 08 6167·8
 1966 09 1669·2
 1966 10 2169.6
 1966 11 2869·7
 1966 12 1169.2
 1967 01  2068.4
 1967 02  5568.5
 1967 03  6868.5
 1967 04  9469·0
 1967 05  9469·0
 1967 06  4068.5
 1967 07  1368·3
 1967 08  2868.4
 1967 09  8869·3
 1967 10  5969·9
 1967 11  7569.9
 1967 12  5869·9
 1968 01 7768.6
 1968 02 1869.0
 1968 03 9169.3
 1968 04 5369·5
 1968 05 6170·0
 1968 06 4869·5
 1968 07 2568.7
 1968 08 868·6
 1968 09 6769·7
 1968 10 670.1
 1968 11 6570.3
 1968 12 4070.2
 1969 01  4469·4
 1969 02  7569.8
 1969 03  2369.8
 1969 04  9669·9
 1969 05  6870.1
 1969 06  5969·6
 1969 07  3869·1
 1969 08  4269·3
 1969 09  3970.2
 1969 10  9270·8
 1969 11  7170.8
 1969 12  7570·8
 1970 01 8269·8
 1970 02 2969.7
 1970 03 1269.9
 1970 04 1370·2
 1970 05 4969.9
 1970 06 5369.4
 1970 07 7368·8
 1970 08 9968·7
 1970 09 1469.4
 1970 10 7070.0
 1970 11 9270·0
 1970 12 469·5
 1971 01  7768.7
 1971 02  1168·9
 1971 03  3268.8
 1971 04  2169·0
 1971 05  6569·3
 1971 06  3468.8
 1971 07  8168·1
 1971 08  7068·2
 1971 09  2869·3
 1971 10  2069·8
 1971 11  5169.9
 1971 12  9469·6
 1972 01 4068.9
 1972 02 7569·1
 1972 03 8169.5
 1972 04 6369·6
 1972 05 369·7
 1972 06 3169.1
 1972 07 3368·7
 1972 08 7168·8
 1972 09 4169·8
 1972 10 4570·3
 1972 11 9570·3
 1972 12 3770·4
 1973 01  669·3
 1973 02  9969·8
 1973 03  8070·0
 1973 04  570·4
 1973 05  7270.6
 1973 06  9970.2
 1973 07  2770·0
 1973 08  4469·8
 1973 09  3971·1
 1973 10  7671.8
 1973 11  9771·8
 1973 12  4971·4
 1974 01 3570·5
 1974 02 8870.6
 1974 03 8070.7
 1974 04 3970.7
 1974 05 771·3
 1974 06 1670·7
 1974 07 8770·4
 1974 08 5770.3
 1974 09 3371.2
 1974 10 6771.6
 1974 11 5771·1
 1974 12 7370·4
 1975 01  1368·8
 1975 02  7268·6
 1975 03  5268.8
 1975 04  8169·0
 1975 05  7169·2
 1975 06  8868·8
 1975 07  6168·6
 1975 08  169·0
 1975 09  5870.0
 1975 10  9770·7
 1975 11  9670.4
 1975 12  7570·1
 1976 01 5069.6
 1976 02 569.7
 1976 03 9570.2
 1976 04 7470.7
 1976 05 4770·9
 1976 06 4370.4
 1976 07 2169·8
 1976 08 9270.2
 1976 09 7571.2
 1976 10 7071·7
 1976 11 6271·6
 1976 12 4771.4
 1977 01  8370·4
 1977 02  6570.7
 1977 03  3171·2
 1977 04  8571.7
 1977 05  4772.1
 1977 06  3671.6
 1977 07  6671·1
 1977 08  7371.3
 1977 09  6872·7
 1977 10  1573·1
 1977 11  3073·3
 1977 12  673·2
 1978 01 7172·5
 1978 02 5872.8
 1978 03 1073.2
 1978 04 473·6
 1978 05 673.6
 1978 06 4773.2
 1978 07 1972·7
 1978 08 1072.8
 1978 09 4974.4
 1978 10 8874.9
 1978 11 9674·9
 1978 12 9474.6
 1979 01  173·7
 1979 02  1274·0
 1979 03  374.4
 1979 04  4974.3
 1979 05  8574.6
 1979 06  7874·1
 1979 07  2874.1
 1979 08  9574.1
 1979 09  5475·5
 1979 10  6675.7
 1979 11  8475·4
 1979 12  7675·6
 1980 01 8274.6
 1980 02 8374.7
 1980 03 974·7
 1980 04 6274.5
 1980 05 6974.4
 1980 06 6073·7
 1980 07 6573·1
 1980 08 4573·3
 1980 09 4274·6
 1980 10 5574·9
 1980 11 4274·9
 1980 12 4674.7
 1981 01  5073.9
 1981 02  4874.2
 1981 03  5174.8
 1981 04  975·1
 1981 05  6975.4
 1981 06  4774·5
 1981 07  3074·2
 1981 08  274.2
 1981 09  075·0
 1981 10  8375.3
 1981 11  4375.1
 1981 12  2074.3
 1982 01 6773·4
 1982 02 1373.7
 1982 03 7673.7
 1982 04 8373.7
 1982 05 2174·1
 1982 06 1973.4
 1982 07 4473.1
 1982 08 3373.2
 1982 09 3773·7
 1982 10 673.8
 1982 11 8473·4
 1982 12 4073.0
 1983 01  1672.2
 1983 02  772.2
 1983 03  5972.6
 1983 04  9973.1
 1983 05  8473.4
 1983 06  7973.4
 1983 07  5773·4
 1983 08  2973·8
 1983 09  9074.9
 1983 10  275·1
 1983 11  9075·3
 1983 12  7375·0
 1984 01 1074.2
 1984 02 8474.7
 1984 03 9775·2
 1984 04 175·5
 1984 05 4576·3
 1984 06 5676.0
 1984 07 4175.6
 1984 08 675·9
 1984 09 1976·5
 1984 10 7676·9
 1984 11 876·7
 1984 12 976.5
 1985 01  8375·7
 1985 02  2376·0
 1985 03  1376.4
 1985 04  5476·5
 1985 05  1376.8
 1985 06  676.4
 1985 07  9376.1
 1985 08  876.4
 1985 09  977.4
 1985 10  5677.7
 1985 11  1177·6
 1985 12  6777.3
 1986 01 9676.7
 1986 02 2976.4
 1986 03 5576·8
 1986 04 5077·0
 1986 05 2577·3
 1986 06 877.1
 1986 07 3877.0
 1986 08 177·2
 1986 09 7278.0
 1986 10 9878.3
 1986 11 9878.1
 1986 12 8878·0
 1987 01  3577.1
 1987 02  3177·4
 1987 03  9777.7
 1987 04  778·2
 1987 05  4278.7
 1987 06  6578.3
 1987 07  2378.1
 1987 08  7678.2
 1987 09  4179.0
 1987 10  8079.3
 1987 11  9079·3
 1987 12  3979·0
 1988 01 1078·2
 1988 02 8378·4
 1988 03 3678.8
 1988 04 6679.2
 1988 05 4879·4
 1988 06 778.9
 1988 07 2278.9
 1988 08 5078.9
 1988 09 8079·6
 1988 10 780.1
 1988 11 3780.1
 1988 12 1179·8
 1989 01  5679·4
 1989 02  6579.4
 1989 03  9579·5
 1989 04  9379·8
 1989 05  5480.1
 1989 06  8879·8
 1989 07  3279.5
 1989 08  6579.6
 1989 09  7180·3
 1989 10  880.6
 1989 11  1180.7
 1989 12  2280·3
 1990 01 3579·4
 1990 02 8179·5
 1990 03 2279.7
 1990 04 8179.8
 1990 05 9580·3
 1990 06 8979·9
 1990 07 7679·5
 1990 08 8979·4
 1990 09 2779.8
 1990 10 3880·1
 1990 11 1179·6
 1990 12 1279.1
 1991 01  3278·1
 1991 02  6078·2
 1991 03  9078·3
 1991 04  4778·9
 1991 05  3379.0
 1991 06  1278·8
 1991 07  278.5
 1991 08  1278·4
 1991 09  8379·0
 1991 10  7579.2
 1991 11  5978.8
 1991 12  5078.4
 1992 01 5677.6
 1992 02 5677·5
 1992 03 9977·9
 1992 04 3278.4
 1992 05 5378·7
 1992 06 8778.6
 1992 07 8478.3
 1992 08 5178·2
 1992 09 9978·6
 1992 10 2478.9
 1992 11 378.6
 1992 12 2778·3
 1993 01  4577·5
 1993 02  4977.6
 1993 03  6978.0
 1993 04  378.2
 1993 05  6678.8
 1993 06  6978.6
 1993 07  2078.4
 1993 08  4978.5
 1993 09  6179.0
 1993 10  1579·3
 1993 11  1779.4
 1993 12  5979.3
 1994 01 5878.2
 1994 02 4378·4
 1994 03 5078.7
 1994 04 5178.9
 1994 05 679.5
 1994 06 3678.8
 1994 07 3278·9
 1994 08 7179.0
 1994 09 8080.0
 1994 10 180·2
 1994 11 9980.3
 1994 12 8880·0
 1995 01  8179.0
 1995 02  6879·5
 1995 03  1579.7
 1995 04  9579.8
 1995 05  3480·0
 1995 06  9479.5
 1995 07  6879·5
 1995 08  1179·4
 1995 09  9080.1
 1995 10  6280.4
 1995 11  7180·2
 1995 12  8179·9
 1996 01 2479·1
 1996 02 7779·5
 1996 03 6179.7
 1996 04 7479·9
 1996 05 3780.2
 1996 06 7180.0
 1996 07 280·1
 1996 08 8580.3
 1996 09 5380·8
 1996 10 281·2
 1996 11 8281.0
 1996 12 3180.7
 1997 01  2479.9
 1997 02  5080.0
 1997 03  1280.5
 1997 04  5780.7
 1997 05  2480.8
 1997 06  2280·8
 1997 07  3280·8
 1997 08  3381.0
 1997 09  5481.4
 1997 10  5081.6
 1997 11  481.5
 1997 12  5381.2
 1998 01 4080·4
 1998 02 9180.6
 1998 03 1680.9
 1998 04 3581·1
 1998 05 3181.3
 1998 06 2680.9
 1998 07 8180·8
 1998 08 2480·9
 1998 09 481·5
 1998 10 6281·6
 1998 11 3681·7
 1998 12 9081·5
 1999 01  5881·3
 1999 02  3081·1
 1999 03  4581.2
 1999 04  2581.4
 1999 05  1981·6
 1999 06  8781.3
 1999 07  9680·8
 1999 08  5081·0
 1999 09  3881.6
 1999 10  1581·9
 1999 11  182.0
 1999 12  881.7
 2000 01 8981.3
 2000 02 2181·5
 2000 03 9981·6
 2000 04 6882·0
 2000 05 7381·8
 2000 06 3581.4
 2000 07 5180.9
 2000 08 2680.8
 2000 09 1681·4
 2000 10 1581.6
 2000 11 4781.7
 2000 12 9981·6
 2001 01  6880.9
 2001 02  4281·0
 2001 03  9981.2
 2001 04  3281·0
 2001 05  481·1
 2001 06  2480·5
 2001 07  4580·2
 2001 08  9480·0
 2001 09  2580·4
 2001 10  9180·4
 2001 11  4780·0
 2001 12  8080.0
 2002 01 5679·0
 2002 02 079.5
 2002 03 9479·5
 2002 04 879·6
 2002 05 4779·6
 2002 06 3379.1
 2002 07 9978·7
 2002 08 2279·1
 2002 09 7579.7
 2002 10 9679.7
 2002 11 9979.1
 2002 12 9379·1
 2003 01  3878·4
 2003 02  2278·6
 2003 03  5778·9
 2003 04  1379·2
 2003 05  6379.1
 2003 06  6678.8
 2003 07  6278.4
 2003 08  278.5
 2003 09  178·9
 2003 10  1179.1
 2003 11  2579·1
 2003 12  478·9
 2004 01 2578·4
 2004 02 6378·5
 2004 03 8678·6
 2004 04 8879.0
 2004 05 3879.2
 2004 06 5379·0
 2004 07 778·9
 2004 08 4978·9
 2004 09 6379·3
 2004 10 3979·5
 2004 11 7579·5
 2004 12 679.1
 2005 01  5378·6
 2005 02  278.8
 2005 03  478.9
 2005 04  279.4
 2005 05  8179.7
 2005 06  4879.1
 2005 07  3279.1
 2005 08  679.5
 2005 09  4979.8
 2005 10  1079.9
 2005 11  2179.6
 2005 12  1479.5
 2006 01 8179·1
 2006 02 4479.2
 2006 03 5979·5
 2006 04 4479·7
 2006 05 2979.9
 2006 06 3179·7
 2006 07 6079.5
 2006 08 4079.7
 2006 09 6780·2
 2006 10 7880·7
 2006 11 6180.5
 2006 12 7280.3
 2007 01  9679.8
 2007 02  1879.6
 2007 03  2479.9
 2007 04  3380·0
 2007 05  4280·2
 2007 06  579.8
 2007 07  3979.5
 2007 08  4379.8
 2007 09  5480·1
 2007 10  2380·2
 2007 11  1880.2
 2007 12  4579·9
 2008 01 879.4
 2008 02 7879·3
 2008 03 9879.4
 2008 04 1079·7
 2008 05 579·6
 2008 06 179.3
 2008 07 4378·9
 2008 08 3078.8
 2008 09 7079.1
 2008 10 4979.1
 2008 11 4078·6
 2008 12 2677.7
 2009 01  5376·5
 2009 02  376.1
 2009 03  275·9
 2009 04  4176·3
 2009 05  2976.1
 2009 06  7175·8
 2009 07  6875·5
 2009 08  4575·5
 2009 09  075·5
 2009 10  8475.6
 2009 11  075·6
 2009 12  3174.8
 2010 01 9074.6
 2010 02 9974·6
 2010 03 8674·8
 2010 04 1975·5
 2010 05 5075·3
 2010 06 9675·1
 2010 07 3974·8
 2010 08 5375·0
 2010 09 5675.4
 2010 10 8475.6
 2010 11 9775·2
 2010 12 275·1
 2011 01  774·6
 2011 02  9374·6
 2011 03  2375·0
 2011 04  6175·2
 2011 05  2975·4
 2011 06  8074·9
 2011 07  474·8
 2011 08  4775.0
 2011 09  7275.3
 2011 10  2775.4
 2011 11  5375.6
 2011 12  775·4
 2012 01 1275·0
 2012 02 4175·1
 2012 03 975.5
 2012 04 775·8
 2012 05 5076.0
 2012 06 5375·6
 2012 07 3575.4
 2012 08 4475·6
 2012 09 1076·3
 2012 10 1976.5
 2012 11 1776·1
 2012 12 3575·9
 2013 01  4375·1
 2013 02  2275.4
 2013 03  6975·6
 2013 04  2676.1
 2013 05  2476.3
 2013 06  6775·9
 2013 07  3075·8
 2013 08  8575.9
 2013 09  5476·3
 2013 10  8876.0
 2013 11  6176.3
 2013 12  676.1
 2014 01 5975.9
 2014 02 3976.1
 2014 03 5176.4
 2014 04 876·7
 2014 05 8776·8
 2014 06 476.8
 2014 07 1276·4
 2014 08 3676·7
 2014 09 1677.1
 2014 10 8877·3
 2014 11 8477.2
 2014 12 5977.0
 2015 01  4576.7
 2015 02  2376.9
 2015 03  2777.1
 2015 04  7177·4
 2015 05  077·5
 2015 06  6677.2
 2015 07  3176.8
 2015 08  9177·1
 2015 09  3177·6
 2015 10  9977·5
 2015 11  877.7
 2015 12  6377·4
 2016 01 1377·3
 2016 02 2777.6
 2016 03 9677.9
 2016 04 5677·9
 2016 05 4878·1
 2016 06 8477.8
 2016 07 5877.6
 2016 08 6577.6


 2016 09 5978·3
 2016 10 2578·5
 2016 11 8178·4
 2016 12 878.1
 2017 01  9877.8
 2017 02  3278.1
 2017 03  8078.4
 2017 04  3178.8
 2017 05  4178·7
 2017 06  1178·4
 2017 07  9178.3
 2017 08  178·1
 2017 09  8679.2
 2017 10  9579.1
 2017 11  7879·3
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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
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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