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 Series Title: Civilian Employment-Population Ratio 65 yrs. & overMale: SA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2002 12 716·4
 2002 11 2616.6
 2002 10 6816·8
 2002 09 1017.2
 2002 08 5617·4
 2002 07 817.4
 2002 06 7217·6
 2002 05 8517·6
 2002 04 6417·4
 2002 03 8117·1
 2002 02 7217.2
 2002 01 5317.1
 2001 12  8317.1
 2001 11  2916.9
 2001 10  7917.1
 2001 09  5816·9
 2001 08  8717.4
 2001 07  5817·0
 2001 06  3116.9
 2001 05  6816·9
 2001 04  7817·3
 2001 03  9817·2
 2001 02  9217·4
 2001 01  7817·6
 2000 12 8116.8
 2000 11 717.0
 2000 10 4917·1
 2000 09 716·9
 2000 08 4517·6
 2000 07 6716·8
 2000 06 1516.8
 2000 05 9917.0
 2000 04 4716·5
 2000 03 8317.3
 2000 02 2817·0
 2000 01 2316.5
 1999 12  8716·5
 1999 11  8916.4
 1999 10  5116·5
 1999 09  7417·0
 1999 08  9016·7
 1999 07  4016.8
 1999 06  7116.8
 1999 05  7016·4
 1999 04  716.4
 1999 03  1715.9
 1999 02  316·0
 1999 01  5615.8
 1998 12 1216.1
 1998 11 2916.1
 1998 10 8315.9
 1998 09 016.5
 1998 08 715.6
 1998 07 516.5
 1998 06 7415·6
 1998 05 9816·0
 1998 04 1716·0
 1998 03 415.2
 1998 02 6515.9
 1998 01 6816·1
 1997 12  9216·7
 1997 11  616.7
 1997 10  6816·5
 1997 09  5416·3
 1997 08  816·3
 1997 07  1816·4
 1997 06  2116·6
 1997 05  2516·7
 1997 04  6416.5
 1997 03  7216.6
 1997 02  8716.3
 1997 01  7616·7
 1996 12 8716·5
 1996 11 2516·7
 1996 10 5416·4
 1996 09 2616·2
 1996 08 2616.5
 1996 07 5716·5
 1996 06 3516·3
 1996 05 1816.1
 1996 04 5815.7
 1996 03 7716·5
 1996 02 6816·2
 1996 01 2215·8
 1995 12  8216·1
 1995 11  1516.1
 1995 10  1516.2
 1995 09  3316·0
 1995 08  2415·6
 1995 07  2715·6
 1995 06  6416.0
 1995 05  6815.5
 1995 04  3516·3
 1995 03  9716·4
 1995 02  2916.4
 1995 01  7316·4
 1994 12 8916.2
 1994 11 3016.0
 1994 10 4815.9
 1994 09 1716·2
 1994 08 8716·6
 1994 07 5716.1
 1994 06 8216.2
 1994 05 9316·3
 1994 04 5416.2
 1994 03 3715.8
 1994 02 2015·9
 1994 01 2116.4
 1993 12  4215·0
 1993 11  4915·2
 1993 10  7615·5
 1993 09  4515.3
 1993 08  2415·3
 1993 07  215.4
 1993 06  8615·0
 1993 05  3414.9
 1993 04  314·2
 1993 03  2614·7
 1993 02  1415.1
 1993 01  8215·1
 1992 12 215.3
 1992 11 7816·3
 1992 10 4715.3
 1992 09 915.5
 1992 08 7315.4
 1992 07 4015·2
 1992 06 9915·5
 1992 05 5815.5
 1992 04 9015.6
 1992 03 1816.1
 1992 02 715.7
 1992 01 9815.2
 1991 12  5514.6
 1991 11  4515.1
 1991 10  3515·1
 1991 09  2515.1
 1991 08  9315.0
 1991 07  7615.3
 1991 06  7015·6
 1991 05  5615.3
 1991 04  5315·8
 1991 03  9315.3
 1991 02  2415.0
 1991 01  3615.0
 1990 12 1215.4
 1990 11 415·3
 1990 10 3715·4
 1990 09 3515·7
 1990 08 6915·9
 1990 07 3916·0
 1990 06 7115·7
 1990 05 4615.9
 1990 04 5116.0
 1990 03 5516.2
 1990 02 1316·2
 1990 01 8816·5
 1989 12  716.1
 1989 11  3515·6
 1989 10  7716·1
 1989 09  615·4
 1989 08  1316.1
 1989 07  8416.4
 1989 06  016·1
 1989 05  6916.4
 1989 04  6916.7
 1989 03  3416.6
 1989 02  4616·5
 1989 01  7016.6
 1988 12 216·4
 1988 11 4216·4
 1988 10 216·3
 1988 09 3016·2
 1988 08 6016·3
 1988 07 8916.1
 1988 06 8116.5
 1988 05 9215·9
 1988 04 2015·9
 1988 03 8315.8
 1988 02 2216·1
 1988 01 2515.8
 1987 12  8116·5
 1987 11  5416·4
 1987 10  8616·3
 1987 09  2416.0
 1987 08  7016·3
 1987 07  6015.8
 1987 06  6216.2
 1987 05  715·9
 1987 04  3715.4
 1987 03  8215·5
 1987 02  6315.2
 1987 01  1915·3
 1986 12 5615.7
 1986 11 2615.3
 1986 10 2614·8
 1986 09 2915·0
 1986 08 2915.1
 1986 07 2515.4
 1986 06 1615.5
 1986 05 3115·5
 1986 04 8115.7
 1986 03 3515·7
 1986 02 1815.7
 1986 01 4416.3
 1985 12  6215.5
 1985 11  3715·3
 1985 10  4715.6
 1985 09  1215·6
 1985 08  4815.3
 1985 07  3914.6
 1985 06  4015.0
 1985 05  515·1
 1985 04  3915·3
 1985 03  7115.7
 1985 02  6015.3
 1985 01  1615.1
 1984 12 6015.2
 1984 11 9115·3
 1984 10 9415.7
 1984 09 6616·1
 1984 08 6215·6
 1984 07 8015·7
 1984 06 5715·6
 1984 05 9715.7
 1984 04 2015.7
 1984 03 4515.9
 1984 02 8616.4
 1984 01 7916.5
 1983 12  3516.3
 1983 11  1816·9
 1983 10  4316.8
 1983 09  616·9
 1983 08  3216·8
 1983 07  5417·0
 1983 06  1716.6
 1983 05  9716·3
 1983 04  6116.8
 1983 03  3717.0
 1983 02  2016.6
 1983 01  9716.7
 1982 12 9716·8
 1982 11 7116.7
 1982 10 9116·4
 1982 09 7416·8
 1982 08 4216.5
 1982 07 9017·2
 1982 06 9118.0
 1982 05 2317.6
 1982 04 2117.4
 1982 03 4917.4
 1982 02 1017·4
 1982 01 6317·4
 1981 12  8317·6
 1981 11  3117.3
 1981 10  6017·7
 1981 09  3817.4
 1981 08  517·8
 1981 07  4217.7
 1981 06  7817·9
 1981 05  1818·1
 1981 04  8618.5
 1981 03  1318.0
 1981 02  2918·0
 1981 01  9517·9
 1980 12 5318.0
 1980 11 118·0
 1980 10 9918.1
 1980 09 9018·1
 1980 08 5518·5
 1980 07 8818.0
 1980 06 218·2
 1980 05 4618·4
 1980 04 6718.5
 1980 03 8118.8
 1980 02 7519·3
 1980 01 3318.9
 1979 12  9118·8
 1979 11  1119.2
 1979 10  8118·8
 1979 09  4519.3
 1979 08  5219.2
 1979 07  3519.3
 1979 06  919.4
 1979 05  119·2
 1979 04  019·3
 1979 03  3419.3
 1979 02  7019.6
 1979 01  4519.7
 1978 12 1019·7
 1978 11 1519.6
 1978 10 419.7
 1978 09 4619·4
 1978 08 8319·4
 1978 07 1019.4
 1978 06 7320.1
 1978 05 9919·4
 1978 04 4419.5
 1978 03 7519·1
 1978 02 6419·3
 1978 01 2219·5
 1977 12  4419.7
 1977 11  9219.5
 1977 10  9119·3
 1977 09  6019·0
 1977 08  5818·9
 1977 07  6819.0
 1977 06  9218·8
 1977 05  8118·9
 1977 04  8618·4
 1977 03  3418·3
 1977 02  2918.7
 1977 01  8118·6
 1976 12 5419.2
 1976 11 4718.9
 1976 10 9118·9
 1976 09 7819·4
 1976 08 1219.0
 1976 07 8919·0
 1976 06 8919·0
 1976 05 1619.0
 1976 04 3619.1
 1976 03 6519.2
 1976 02 6319.3
 1976 01 6419.4
 1975 12  2619.2
 1975 11  919·4
 1975 10  7519·6
 1975 09  1720.2
 1975 08  720.3
 1975 07  7620.7
 1975 06  1320.3
 1975 05  9320.9
 1975 04  3021.2
 1975 03  4821.3
 1975 02  8921·3
 1975 01  3821·2
 1974 12 6921.5
 1974 11 3220·9
 1974 10 4322.1
 1974 09 1921·8
 1974 08 2721·6
 1974 07 5921.5
 1974 06 3521·6
 1974 05 3121.5
 1974 04 2721·9
 1974 03 8621.6
 1974 02 5621·8
 1974 01 9421·5
 1973 12  2121.6
 1973 11  9521·8
 1973 10  1621·9
 1973 09  5121·4
 1973 08  8322·0
 1973 07  9222.0
 1973 06  5522·2
 1973 05  7122·3
 1973 04  1422.2
 1973 03  1022.9
 1973 02  3522·1
 1973 01  4921·9
 1972 12 4022.8
 1972 11 322.7
 1972 10 4523.3
 1972 09 423·5
 1972 08 1123.4
 1972 07 5523·6
 1972 06 9623·4
 1972 05 8023.2
 1972 04 223·1
 1972 03 7224·0
 1972 02 2623·8
 1972 01 4624.4
 1971 12  1324·2
 1971 11  8624.3
 1971 10  024.3
 1971 09  9624·6
 1971 08  7124·6
 1971 07  5224.7
 1971 06  425.1
 1971 05  5025·3
 1971 04  2524.7
 1971 03  5424·3
 1971 02  5224·1
 1971 01  5124.9
 1970 12 5025.0
 1970 11 9725.1
 1970 10 8125.4
 1970 09 6825·1
 1970 08 4825·4
 1970 07 1225.5
 1970 06 5425·8
 1970 05 9726.5
 1970 04 4426.8
 1970 03 5826·7
 1970 02 5926·8
 1970 01 5526.6
 1969 12  8726.3
 1969 11  1526·5
 1969 10  1026.3
 1969 09  8726.8
 1969 08  5426.5
 1969 07  9026.1
 1969 06  4326·3
 1969 05  6326.4
 1969 04  4526·7
 1969 03  1527·1
 1969 02  2327·1
 1969 01  7526.5
 1968 12 8526.7
 1968 11 4526.7
 1968 10 3626·6
 1968 09 4526·6
 1968 08 2426·7
 1968 07 6427.0
 1968 06 9527.4
 1968 05 1526.6
 1968 04 3925·9
 1968 03 7825.7
 1968 02 3926·0
 1968 01 5426.1
 1967 12  2826·8
 1967 11  1726·7
 1967 10  3126·6
 1967 09  5826·4
 1967 08  1926.6
 1967 07  4026.6
 1967 06  5827.1
 1967 05  4525.9
 1967 04  6025.9
 1967 03  2625·5
 1967 02  3325.8
 1967 01  5826.0
 1966 12 2826·1
 1966 11 8426.4
 1966 10 9426·3
 1966 09 6926.2
 1966 08 2326.5
 1966 07 4526·2
 1966 06 426.2
 1966 05 6925.6
 1966 04 7026·4
 1966 03 6526·0
 1966 02 5026·3
 1966 01 7926.3
 1965 12  2026·7
 1965 11  2725.9
 1965 10  4726.9
 1965 09  4327.1
 1965 08  4726·7
 1965 07  3626·7
 1965 06  3126·8
 1965 05  3027·5
 1965 04  5426.3
 1965 03  2427·6
 1965 02  6627·4
 1965 01  3427.0
 1964 12 6426·8
 1964 11 4826·8
 1964 10 3926·8
 1964 09 7426·7
 1964 08 2826.7
 1964 07 9027.1
 1964 06 6326.7
 1964 05 9427·5
 1964 04 2227.4
 1964 03 5627.1
 1964 02 7726·8
 1964 01 6426.6
 1963 12  4625·7
 1963 11  7826·7
 1963 10  4326·9
 1963 09  7727·5
 1963 08  2527.6
 1963 07  1228.0
 1963 06  4827·7
 1963 05  5326.9
 1963 04  1126.3
 1963 03  4127.4
 1963 02  727.1
 1963 01  3627·3
 1962 12 7727·2
 1962 11 7127.4
 1962 10 5627·9
 1962 09 9528.5
 1962 08 2528·7
 1962 07 3328·8
 1962 06 5929.2
 1962 05 2430·0
 1962 04 8029·4
 1962 03 8430.4
 1962 02 430·3
 1962 01 4329·7
 1961 12  9229.2
 1961 11  529.2
 1961 10  228.5
 1961 09  9528·3
 1961 08  3729·0
 1961 07  429·3
 1961 06  9429.8
 1961 05  4929·9
 1961 04  1530.4
 1961 03  1332.3
 1961 02  4031.8
 1961 01  032.0
 1960 12 5232·1
 1960 11 8632·0
 1960 10 2931.7
 1960 09 6731·6
 1960 08 9731·2
 1960 07 831·4
 1960 06 7531·2
 1960 05 9431.7
 1960 04 2731·8
 1960 03 8331.6
 1960 02 1432·1
 1960 01 5032.7
 1959 12  4233·2
 1959 11  4332.6
 1959 10  1033·2
 1959 09  2932·7
 1959 08  6632.8
 1959 07  4632.9
 1959 06  5132.4
 1959 05  5132.2
 1959 04  5232.4
 1959 03  7332.7
 1959 02  5031·7
 1959 01  5931.8
 1958 12 7332.2
 1958 11 3032·8
 1958 10 4333·0
 1958 09 2332·8
 1958 08 3033.4
 1958 07 4933.5
 1958 06 9633.9
 1958 05 3734.3
 1958 04 4934·2
 1958 03 8734.7
 1958 02 9435.2
 1958 01 2034·9
 1957 12  8035·9
 1957 11  2635·6
 1957 10  5135·4
 1957 09  1635·8
 1957 08  9836·0
 1957 07  7136·3
 1957 06  637.2
 1957 05  9436·9
 1957 04  436·2
 1957 03  5636·6
 1957 02  2037.0
 1957 01  4936.2
 1956 12 2437·9
 1956 11 3537.8
 1956 10 8238·1
 1956 09 9938.5
 1956 08 738·2
 1956 07 9238.2
 1956 06 538·8
 1956 05 8939.0
 1956 04 2939·7
 1956 03 3238.9
 1956 02 2638·7
 1956 01 8739·7
 1955 12  9038.3
 1955 11  8838.8
 1955 10  938.6
 1955 09  8938·6
 1955 08  1738.6
 1955 07  1538·3
 1955 06  4137.4
 1955 05  1237.7
 1955 04  5837.9
 1955 03  9637·5
 1955 02  3636·9
 1955 01  237·2
 1954 12 9037.5
 1954 11 3738·1
 1954 10 3038.8
 1954 09 2838·9
 1954 08 1338.9
 1954 07 7037·9
 1954 06 8838.8
 1954 05 8238·4
 1954 04 5238·9
 1954 03 5239.0
 1954 02 9640·3
 1954 01 8638·7
 1953 12  5838.3
 1953 11  6339·3
 1953 10  6940·2
 1953 09  8239·1
 1953 08  640.3
 1953 07  1241.0
 1953 06  4340·2
 1953 05  4040·7
 1953 04  9740.9
 1953 03  2842·0
 1953 02  8142.6
 1953 01  5542.5
 1952 12 5541.8
 1952 11 7041·3
 1952 10 7240.5
 1952 09 4441.5
 1952 08 3240·5
 1952 07 1841·6
 1952 06 2941·9
 1952 05 5340·8
 1952 04 240.4
 1952 03 8039.8
 1952 02 8842.1
 1952 01 5143.7
 1951 12  6742.8
 1951 11  8742.8
 1951 10  1443·0
 1951 09  3143·8
 1951 08  5144.1
 1951 07  9544.0
 1951 06  9444·1
 1951 05  1345·3
 1951 04  543.5
 1951 03  8742.7
 1951 02  4042.0
 1951 01  4041.0
 1950 12 442·3
 1950 11 6842.6
 1950 10 9242.0
 1950 09 8343·2
 1950 08 4843.7
 1950 07 7143·4
 1950 06 1143·4
 1950 05 3544·3
 1950 04 6444.4
 1950 03 5244.8
 1950 02 8644·6
 1950 01 1644.9
 1949 12  145·3
 1949 11  9344.9
 1949 10  2945·4
 1949 09  6944.2
 1949 08  3543·5
 1949 07  044·2
 1949 06  7944.1
 1949 05  6344.0
 1949 04  6644.7
 1949 03  544.3
 1949 02  9844·7
 1949 01  9345·3
 1948 12 2046.2
 1948 11 6546.0
 1948 10 7446.1
 1948 09 7945.2
 1948 08 4745·6
 1948 07 6244.7
 1948 06 2045.1
 1948 05 6344·4
 1948 04 2244.6
 1948 03 143.5
 1948 02 7545·8
 1948 01 1545.0
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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 3: Get Population Level Data for Workers





 Series Title: Civilian Employment-Population Ratio 65 yrs. & overMale: SA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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