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 Series Title: Civilian Employment-Population Ratio 55 to 64 yrs.: SA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2002 12 7659.6
 2002 11 5360·6
 2002 10 6960·6
 2002 09 8760·5
 2002 08 9959.4
 2002 07 9459.4
 2002 06 6759·1
 2002 05 4159.2
 2002 04 1958.7
 2002 03 6558.5
 2002 02 9759.0
 2002 01 2458·9
 2001 12  8858.4
 2001 11  4758·5
 2001 10  7358·3
 2001 09  8158.5
 2001 08  8058.3
 2001 07  4758.5
 2001 06  3158.6
 2001 05  8258·8
 2001 04  9558.5
 2001 03  9658·3
 2001 02  3658·0
 2001 01  2058·0
 2000 12 6057.8
 2000 11 5257·2
 2000 10 7457·5
 2000 09 1457·7
 2000 08 2557.8
 2000 07 9657·8
 2000 06 5858·0
 2000 05 957.4
 2000 04 6457.5
 2000 03 3457.8
 2000 02 2758.1
 2000 01 7458.0
 1999 12  7957.8
 1999 11  9957.5
 1999 10  4457.6
 1999 09  257.8
 1999 08  9458.2
 1999 07  4657·9
 1999 06  9657·9
 1999 05  1457·5
 1999 04  6057.6
 1999 03  5857.7
 1999 02  9557·6
 1999 01  5357.7
 1998 12 5357·9
 1998 11 4157.9
 1998 10 8158.0
 1998 09 8857.9
 1998 08 7357.4
 1998 07 2757.2
 1998 06 1657.8
 1998 05 1358·1
 1998 04 4557·8
 1998 03 7257.4
 1998 02 8857·8
 1998 01 4957.7
 1997 12  2057.7
 1997 11  5858.1
 1997 10  1057·8
 1997 09  3757.3
 1997 08  7357·4
 1997 07  9256·7
 1997 06  1956.9
 1997 05  4957·3
 1997 04  456.9
 1997 03  657.0
 1997 02  7956·5
 1997 01  7856·5
 1996 12 3956·3
 1996 11 5556.3
 1996 10 7756·3
 1996 09 4356.3
 1996 08 2956·3
 1996 07 2256.2
 1996 06 2656·1
 1996 05 8855·6
 1996 04 4755·2
 1996 03 1355.5
 1996 02 6555.4
 1996 01 8355.5
 1995 12  9655·0
 1995 11  6055·5
 1995 10  5655·9
 1995 09  2255.7
 1995 08  155.1
 1995 07  1955.4
 1995 06  8654·5
 1995 05  2354·7
 1995 04  1154.8
 1995 03  7354·8
 1995 02  7055·1
 1995 01  3155·2
 1994 12 255.6
 1994 11 2755.3
 1994 10 4455.0
 1994 09 1554·5
 1994 08 7554·2
 1994 07 1454.0
 1994 06 7254.1
 1994 05 6954.7
 1994 04 5553·9
 1994 03 9053·6
 1994 02 4153·8
 1994 01 1254.2
 1993 12  9253.7
 1993 11  3753.5
 1993 10  6553·3
 1993 09  8953·3
 1993 08  6253.8
 1993 07  6153.1
 1993 06  8154·4
 1993 05  6854.4
 1993 04  6654·1
 1993 03  9454.1
 1993 02  5354.2
 1993 01  4453·2
 1992 12 2753·1
 1992 11 9353·0
 1992 10 6752.9
 1992 09 3653.4
 1992 08 9853.3
 1992 07 3953·8
 1992 06 3853.5
 1992 05 8853.8
 1992 04 5353.7
 1992 03 3953.6
 1992 02 253·3
 1992 01 6953.4
 1991 12  9252.9
 1991 11  2553·2
 1991 10  2353·2
 1991 09  7353.6
 1991 08  4253.1
 1991 07  5353·3
 1991 06  8953.2
 1991 05  2053·0
 1991 04  5253·2
 1991 03  453.2
 1991 02  1253.3
 1991 01  5453.7
 1990 12 9854·3
 1990 11 8754.1
 1990 10 3154·1
 1990 09 4354.0
 1990 08 8054.2
 1990 07 3153·8
 1990 06 853.8
 1990 05 8154·3
 1990 04 2453·7
 1990 03 9453.9
 1990 02 3253·9
 1990 01 8953·9
 1989 12  8054.1
 1989 11  5854·0
 1989 10  1453.7
 1989 09  1053·6
 1989 08  2453.4
 1989 07  2853·7
 1989 06  9453.8
 1989 05  1353.7
 1989 04  5553·9
 1989 03  3754.0
 1989 02  3353.6
 1989 01  9353·7
 1988 12 9953·3
 1988 11 4253.0
 1988 10 2053·0
 1988 09 6852·9
 1988 08 753·0
 1988 07 2452.5
 1988 06 6852.5
 1988 05 8352.4
 1988 04 5453·1
 1988 03 8952.7
 1988 02 1452.9
 1988 01 652.6
 1987 12  4152.9
 1987 11  6952.8
 1987 10  2252.9
 1987 09  3352.4
 1987 08  9252·3
 1987 07  2252.5
 1987 06  7952·5
 1987 05  8252.6
 1987 04  5852.3
 1987 03  2852·2
 1987 02  9952.2
 1987 01  9752·4
 1986 12 1551·9
 1986 11 9451·9
 1986 10 1851·8
 1986 09 4751·8
 1986 08 6352·4
 1986 07 5252·4
 1986 06 152.4
 1986 05 2751.9
 1986 04 2751·4
 1986 03 5851.3
 1986 02 3450·9
 1986 01 5551.5
 1985 12  5851·5
 1985 11  9551·7
 1985 10  3251.9
 1985 09  7651·7
 1985 08  3152.0
 1985 07  6851.7
 1985 06  3051·8
 1985 05  6051.8
 1985 04  4752.0
 1985 03  1052·4
 1985 02  9451.8
 1985 01  9951·6
 1984 12 3051.9
 1984 11 7751·5
 1984 10 1051.0
 1984 09 1351.8
 1984 08 3251.6
 1984 07 5051·7
 1984 06 9151.7
 1984 05 4751·9
 1984 04 2852·0
 1984 03 3751.7
 1984 02 7651·8
 1984 01 7051·4
 1983 12  1751·9
 1983 11  6851·8
 1983 10  2751·7
 1983 09  7551.6
 1983 08  2651.3
 1983 07  251.4
 1983 06  3251·3
 1983 05  8251·1
 1983 04  550·9
 1983 03  1851.0
 1983 02  351·4
 1983 01  3551.6
 1982 12 2951.6
 1982 11 2552·0
 1982 10 8051·9
 1982 09 252.8
 1982 08 9952·2
 1982 07 5252.1
 1982 06 2452·0
 1982 05 7952.1
 1982 04 4052·2
 1982 03 5852·2
 1982 02 2451·7
 1982 01 8552·2
 1981 12  252.1
 1981 11  2452.3
 1981 10  9252.5
 1981 09  6352.3
 1981 08  6152.8
 1981 07  5753·1
 1981 06  6753.3
 1981 05  8253.7
 1981 04  1753·5
 1981 03  8753·5
 1981 02  1153·3
 1981 01  3853.3
 1980 12 9653.0
 1980 11 7253·3
 1980 10 1253.5
 1980 09 4853.5
 1980 08 4754.0
 1980 07 9353·9
 1980 06 8353.9
 1980 05 5753·9
 1980 04 4854·1
 1980 03 5854.1
 1980 02 6354.6
 1980 01 3554.2
 1979 12  9654.5
 1979 11  9754·4
 1979 10  1254·8
 1979 09  7454.7
 1979 08  1954·4
 1979 07  6754·3
 1979 06  2154·3
 1979 05  9654·5
 1979 04  6754.3
 1979 03  5054·8
 1979 02  155.0
 1979 01  4355·3
 1978 12 1455·0
 1978 11 5355.1
 1978 10 9154.4
 1978 09 8454.6
 1978 08 6254·4
 1978 07 754·7
 1978 06 5354.8
 1978 05 1554·6
 1978 04 3654.7
 1978 03 6954·5
 1978 02 7654·3
 1978 01 5354.3
 1977 12  8554·5
 1977 11  2054·5
 1977 10  7254.3
 1977 09  4454·1
 1977 08  8753.8
 1977 07  6853.9
 1977 06  7854.1
 1977 05  5654.5
 1977 04  4054·2
 1977 03  4353.8
 1977 02  5953.7
 1977 01  8454·0
 1976 12 7054·0
 1976 11 354·0
 1976 10 254·2
 1976 09 4654·2
 1976 08 2854.4
 1976 07 2954.0
 1976 06 1953.9
 1976 05 8753·8
 1976 04 8953.8
 1976 03 2753·9
 1976 02 4954.1
 1976 01 7654.3
 1975 12  5354.2
 1975 11  3054.1
 1975 10  5454.2
 1975 09  654.4
 1975 08  4754.5
 1975 07  9354.7
 1975 06  2354·4
 1975 05  9854.8
 1975 04  1954.6
 1975 03  054·7
 1975 02  6855·0
 1975 01  9655·1
 1974 12 4655·0
 1974 11 5555·0
 1974 10 2755.4
 1974 09 6755·7
 1974 08 2956.0
 1974 07 9256.3
 1974 06 6456.3
 1974 05 856.4
 1974 04 9157.0
 1974 03 6557·1
 1974 02 6557.0
 1974 01 3656·8
 1973 12  8556.6
 1973 11  5956.4
 1973 10  4456·6
 1973 09  9556·8
 1973 08  8456·7
 1973 07  7856.9
 1973 06  3957·0
 1973 05  5656.8
 1973 04  9056·8
 1973 03  5457.2
 1973 02  1357·4
 1973 01  1257.2
 1972 12 2857.5
 1972 11 4457.8
 1972 10 5357.9
 1972 09 8358.3
 1972 08 4958·0
 1972 07 3157.9
 1972 06 7358·2
 1972 05 1158.3
 1972 04 2758.2
 1972 03 1958·1
 1972 02 1058.2
 1972 01 6858·8
 1971 12  6359.1
 1971 11  4259.6
 1971 10  2759·5
 1971 09  4659.1
 1971 08  8358·8
 1971 07  5558·6
 1971 06  1259·0
 1971 05  6559·2
 1971 04  3759·3
 1971 03  4159.6
 1971 02  7859·5
 1971 01  6959·8
 1970 12 059·6
 1970 11 559·8
 1970 10 6359·9
 1970 09 2759.7
 1970 08 7359.9
 1970 07 8060.2
 1970 06 3060·3
 1970 05 3360·1
 1970 04 8160·5
 1970 03 2260·5
 1970 02 6660·6
 1970 01 760.5
 1969 12  7460.6
 1969 11  1460.5
 1969 10  8560.8
 1969 09  9260·8
 1969 08  2860.9
 1969 07  6061.0
 1969 06  2560·9
 1969 05  5861.2
 1969 04  4461.1
 1969 03  9460·9
 1969 02  4861·1
 1969 01  9960.7
 1968 12 4661.0
 1968 11 7261.1
 1968 10 4260·7
 1968 09 3361·0
 1968 08 8561.0
 1968 07 7561.0
 1968 06 2061·5
 1968 05 661.6
 1968 04 3761.0
 1968 03 1061·0
 1968 02 2060.8
 1968 01 8660.2
 1967 12  161.1
 1967 11  861·1
 1967 10  561.3
 1967 09  6861.5
 1967 08  461·1
 1967 07  2761.0
 1967 06  6361·1
 1967 05  7060.7
 1967 04  9560·6
 1967 03  4960·0
 1967 02  760·5
 1967 01  3760·4
 1966 12 5060.7
 1966 11 7861·1
 1966 10 7460·7
 1966 09 3761.2
 1966 08 7061.0
 1966 07 4860·8
 1966 06 2760·6
 1966 05 6660·5
 1966 04 7960·3
 1966 03 1560·2
 1966 02 5560·0
 1966 01 4160·2
 1965 12  2960.1
 1965 11  6059·7
 1965 10  7059.8
 1965 09  859·4
 1965 08  9459·7
 1965 07  9160·2
 1965 06  1060·3
 1965 05  3660.2
 1965 04  7559.9
 1965 03  3960·0
 1965 02  3960.0
 1965 01  1760.0
 1964 12 9759.7
 1964 11 5959.8
 1964 10 4360·1
 1964 09 7359.3
 1964 08 1259.5
 1964 07 3559·4
 1964 06 3659.8
 1964 05 4660·1
 1964 04 9360.2
 1964 03 7359·2
 1964 02 5559.2
 1964 01 659·2
 1963 12  4259·3
 1963 11  459·8
 1963 10  6559·7
 1963 09  4759·7
 1963 08  8359·2
 1963 07  8659·3
 1963 06  5159.1
 1963 05  8959.6
 1963 04  6859·6
 1963 03  9859.6
 1963 02  2859.2
 1963 01  7559·4
 1962 12 7259·0
 1962 11 5058.5
 1962 10 3458·7
 1962 09 7459.1
 1962 08 9559.1
 1962 07 7158·7
 1962 06 3059.0
 1962 05 8159.0
 1962 04 6259·2
 1962 03 1859·1
 1962 02 659.0
 1962 01 1558·1
 1961 12  2458·2
 1961 11  7458.4
 1961 10  7358·0
 1961 09  2057·6
 1961 08  5658.2
 1961 07  4557.9
 1961 06  7058·2
 1961 05  6557·9
 1961 04  5957.5
 1961 03  6258·7
 1961 02  6058.7
 1961 01  4458·9
 1960 12 5859.1
 1960 11 8359·0
 1960 10 3158.7
 1960 09 7658.9
 1960 08 358·4
 1960 07 8858·2
 1960 06 9558.3
 1960 05 658·2
 1960 04 7158·3
 1960 03 8557.0
 1960 02 9058·1
 1960 01 257.9
 1959 12  6058·3
 1959 11  558.2
 1959 10  8058.5
 1959 09  6058·5
 1959 08  9758.8
 1959 07  458·6
 1959 06  5258·5
 1959 05  9758·4
 1959 04  3258.3
 1959 03  6557.9
 1959 02  1957.2
 1959 01  5858.2
 1958 12 4057·6
 1958 11 9457.3
 1958 10 1957·2
 1958 09 1257.4
 1958 08 2256·6
 1958 07 2257.1
 1958 06 1457·5
 1958 05 5457.5
 1958 04 457.3
 1958 03 757.5
 1958 02 9457.7
 1958 01 257·5
 1957 12  3458·0
 1957 11  3057·5
 1957 10  7057·8
 1957 09  157.7
 1957 08  9057·4
 1957 07  9758·3
 1957 06  8058·3
 1957 05  2058.1
 1957 04  7158.1
 1957 03  4158.8
 1957 02  8858·6
 1957 01  5258·4
 1956 12 358.4
 1956 11 1758·3
 1956 10 8158·5
 1956 09 1858.7
 1956 08 3658·9
 1956 07 859.1
 1956 06 7358·7
 1956 05 6159·1
 1956 04 4558·9
 1956 03 2059·1
 1956 02 058.4
 1956 01 5058·1
 1955 12  3157·9
 1955 11  8457·8
 1955 10  2757.4
 1955 09  7957·5
 1955 08  2057.6
 1955 07  5957·6
 1955 06  4056·8
 1955 05  6856·6
 1955 04  6156.6
 1955 03  2456·3
 1955 02  5355·7
 1955 01  6156·0
 1954 12 3056·4
 1954 11 8756·7
 1954 10 356.4
 1954 09 2756·4
 1954 08 2855·9
 1954 07 7955.2
 1954 06 5455.3
 1954 05 6056·0
 1954 04 7956.2
 1954 03 5755·7
 1954 02 9456·0
 1954 01 7856.1
 1953 12  3555·4
 1953 11  356·0
 1953 10  3556.6
 1953 09  2856·3
 1953 08  7056.4
 1953 07  2356·7
 1953 06  1557.3
 1953 05  7656.4
 1953 04  8657·2
 1953 03  4857.6
 1953 02  9756·0
 1953 01  1955·5
 1952 12 756.5
 1952 11 3757·7
 1952 10 6956.9
 1952 09 7457.2
 1952 08 8356.3
 1952 07 6955·4
 1952 06 4454.8
 1952 05 8555.9
 1952 04 9155·3
 1952 03 5355·4
 1952 02 6055·6
 1952 01 2355·5
 1951 12  3055·4
 1951 11  1955·1
 1951 10  7954·6
 1951 09  8154·9
 1951 08  2755·3
 1951 07  2455·5
 1951 06  9055.5
 1951 05  7855·2
 1951 04  3055·5
 1951 03  4956.4
 1951 02  554·8
 1951 01  5954·4
 1950 12 1754·1
 1950 11 254·3
 1950 10 6354.2
 1950 09 9254·3
 1950 08 8654·3
 1950 07 1454.2
 1950 06 2553.8
 1950 05 7254·6
 1950 04 6453·2
 1950 03 4253·2
 1950 02 8153.5
 1950 01 1853.4
 1949 12  153.6
 1949 11  6753.8
 1949 10  4353·1
 1949 09  7453.2
 1949 08  7252·8
 1949 07  9652.6
 1949 06  4952·9
 1949 05  952.9
 1949 04  7853·4
 1949 03  6053·7
 1949 02  6253.8
 1949 01  1754.2
 1948 12 4554·6
 1948 11 1754·2
 1948 10 6954.8
 1948 09 1854·8
 1948 08 2155.1
 1948 07 4855·7
 1948 06 8455.6
 1948 05 5555.0
 1948 04 8355·5
 1948 03 5955.5
 1948 02 4455.4
 1948 01 9855.3
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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

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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: Civilian Employment-Population Ratio 55 to 64 yrs.: SA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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