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 Series Title: Civilian Employment-Population Ratio 65 yrs. & over: SA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2002 12 2212·4
 2002 11 9512·6
 2002 10 1912·7
 2002 09 2212·9
 2002 08 5613.0
 2002 07 7413·1
 2002 06 3413.0
 2002 05 2012·8
 2002 04 9912·8
 2002 03 9612.5
 2002 02 9312·8
 2002 01 6012·7
 2001 12  312·6
 2001 11  4112.6
 2001 10  1012.8
 2001 09  8712·7
 2001 08  4313.0
 2001 07  1712·6
 2001 06  2312.5
 2001 05  7012.5
 2001 04  1912·6
 2001 03  5512.6
 2001 02  9412·7
 2001 01  312·8
 2000 12 5712·5
 2000 11 1212.5
 2000 10 1112·6
 2000 09 412.5
 2000 08 612·7
 2000 07 7012·4
 2000 06 8712·2
 2000 05 1912·5
 2000 04 4312·4
 2000 03 3412·5
 2000 02 6012·4
 2000 01 1612.1
 1999 12  6812.1
 1999 11  3711.9
 1999 10  9311.9
 1999 09  8912.2
 1999 08  712·1
 1999 07  3512.2
 1999 06  7412·2
 1999 05  5811.9
 1999 04  811·9
 1999 03  1111.8
 1999 02  1611·7
 1999 01  6711.5
 1998 12 4911·7
 1998 11 7011·7
 1998 10 5611·6
 1998 09 8411·6
 1998 08 2911.4
 1998 07 4411·7
 1998 06 5811·3
 1998 05 411.6
 1998 04 7411.5
 1998 03 9011.3
 1998 02 811.5
 1998 01 4711.7
 1997 12  3412·1
 1997 11  9011.9
 1997 10  2211.5
 1997 09  5511·5
 1997 08  8511·5
 1997 07  5011.6
 1997 06  3511·8
 1997 05  9911.9
 1997 04  2711·7
 1997 03  111·8
 1997 02  1111·8
 1997 01  7312.0
 1996 12 8511.8
 1996 11 211·8
 1996 10 3811.6
 1996 09 9511.5
 1996 08 911·7
 1996 07 3211·7
 1996 06 2911.7
 1996 05 1011.5
 1996 04 7611·5
 1996 03 9911.7
 1996 02 2211.7
 1996 01 8711.3
 1995 12  8611·5
 1995 11  3411·7
 1995 10  7911.8
 1995 09  2011.8
 1995 08  6311·6
 1995 07  9511·6
 1995 06  8911.5
 1995 05  2911·5
 1995 04  5811·7
 1995 03  6211·7
 1995 02  6411·7
 1995 01  5611·7
 1994 12 4711.6
 1994 11 4311·9
 1994 10 4311.7
 1994 09 7211·9
 1994 08 3112.1
 1994 07 6811·8
 1994 06 8712·0
 1994 05 7112·0
 1994 04 3311.6
 1994 03 9511.6
 1994 02 8612·0
 1994 01 7212·2
 1993 12  611.1
 1993 11  511·1
 1993 10  5111.1
 1993 09  1810.9
 1993 08  2411.1
 1993 07  511·1
 1993 06  2210.8
 1993 05  8010·7
 1993 04  8710·3
 1993 03  2710.6
 1993 02  6010·8
 1993 01  5110·7
 1992 12 2211.0
 1992 11 2711·4
 1992 10 5311.0
 1992 09 5010·9
 1992 08 7810.9
 1992 07 8610·9
 1992 06 1511.0
 1992 05 2211.0
 1992 04 3111.1
 1992 03 1211.4
 1992 02 8411·1
 1992 01 3511·1
 1991 12  8010·7
 1991 11  3610·9
 1991 10  2111.0
 1991 09  8411.0
 1991 08  5311·0
 1991 07  1511·1
 1991 06  1611·3
 1991 05  8811.2
 1991 04  9811.5
 1991 03  3011.3
 1991 02  8111.3
 1991 01  9111.0
 1990 12 9211·2
 1990 11 8911.2
 1990 10 5411.2
 1990 09 6211·4
 1990 08 3511·5
 1990 07 2111.5
 1990 06 9811.6
 1990 05 9611.6
 1990 04 5211·5
 1990 03 8511.5
 1990 02 011·5
 1990 01 1111·6
 1989 12  9311.5
 1989 11  6211·2
 1989 10  7411·4
 1989 09  5111·2
 1989 08  3411.4
 1989 07  5911·6
 1989 06  5811·4
 1989 05  8711.8
 1989 04  7611·6
 1989 03  711·5
 1989 02  1411·5
 1989 01  1111.6
 1988 12 4311.4
 1988 11 6211·8
 1988 10 3011.3
 1988 09 4311·1
 1988 08 8711·1
 1988 07 710·9
 1988 06 2011·2
 1988 05 2810·9
 1988 04 8111.1
 1988 03 4911·0
 1988 02 2011.2
 1988 01 3411.0
 1987 12  2811·2
 1987 11  1811.0
 1987 10  9411.1
 1987 09  5510.8
 1987 08  5211·1
 1987 07  7111·0
 1987 06  3110.9
 1987 05  1110·7
 1987 04  410.4
 1987 03  9110·6
 1987 02  4210.5
 1987 01  4610·5
 1986 12 5910·6
 1986 11 8310·6
 1986 10 6510.3
 1986 09 2810·6
 1986 08 1710.6
 1986 07 7910.8
 1986 06 6510·7
 1986 05 5310·7
 1986 04 410·7
 1986 03 3710.6
 1986 02 2710·6
 1986 01 3810·8
 1985 12  7010.5
 1985 11  3710.4
 1985 10  6610·5
 1985 09  2910.4
 1985 08  9110·3
 1985 07  8610·1
 1985 06  1910·3
 1985 05  9510·4
 1985 04  6710·5
 1985 03  1610.7
 1985 02  4910·5
 1985 01  2910.4
 1984 12 2410.6
 1984 11 8410.6
 1984 10 4410.8
 1984 09 5110·8
 1984 08 1110.6
 1984 07 7110.6
 1984 06 1710·4
 1984 05 410.7
 1984 04 410.7
 1984 03 8310.8
 1984 02 611.0
 1984 01 5911.1
 1983 12  411.1
 1983 11  5311·4
 1983 10  7311·4
 1983 09  911.6
 1983 08  3611.3
 1983 07  3811.2
 1983 06  711.1
 1983 05  7311·2
 1983 04  5011.3
 1983 03  1811·4
 1983 02  2111.3
 1983 01  9511.3
 1982 12 2211·3
 1982 11 011.3
 1982 10 5111·2
 1982 09 4511·5
 1982 08 5211.3
 1982 07 1611.6
 1982 06 6211.9
 1982 05 1711·9
 1982 04 6611.5
 1982 03 2311.5
 1982 02 4111.5
 1982 01 3011·6
 1981 12  1311·7
 1981 11  311·6
 1981 10  111.7
 1981 09  2811.6
 1981 08  7011·9
 1981 07  6111.9
 1981 06  8012·0
 1981 05  7912·0
 1981 04  3612·2
 1981 03  3012.0
 1981 02  4011.9
 1981 01  7911·8
 1980 12 3811.8
 1980 11 6612.0
 1980 10 7112.0
 1980 09 4712·0
 1980 08 2512·3
 1980 07 5112·0
 1980 06 8312.1
 1980 05 2612.2
 1980 04 7312.2
 1980 03 9112·3
 1980 02 1712·6
 1980 01 8512.6
 1979 12  8212·5
 1979 11  1912.6
 1979 10  3312·4
 1979 09  2012.5
 1979 08  7812.6
 1979 07  9012·4
 1979 06  2112·7
 1979 05  4812·6
 1979 04  1112.8
 1979 03  8712.7
 1979 02  9312.9
 1979 01  1512·8
 1978 12 5612.8
 1978 11 1512.6
 1978 10 8712·5
 1978 09 8912.6
 1978 08 1512.7
 1978 07 812.8
 1978 06 6613.1
 1978 05 6412.7
 1978 04 1112·8
 1978 03 2112.5
 1978 02 1712·6
 1978 01 6012·8
 1977 12  9612.7
 1977 11  3612·7
 1977 10  5412.5
 1977 09  2112·4
 1977 08  4512.2
 1977 07  5912.1
 1977 06  1512·1
 1977 05  1512.3
 1977 04  5812.4
 1977 03  2312·2
 1977 02  6312·3
 1977 01  3712.0
 1976 12 6212·6
 1976 11 8312·4
 1976 10 8412.3
 1976 09 712·5
 1976 08 512·3
 1976 07 2212.2
 1976 06 9312·3
 1976 05 6712.4
 1976 04 6412·3
 1976 03 4712·5
 1976 02 2712·7
 1976 01 8812·7
 1975 12  3912·4
 1975 11  8812·6
 1975 10  4912·7
 1975 09  6412.8
 1975 08  5512·9
 1975 07  313·2
 1975 06  4713.1
 1975 05  1313.2
 1975 04  6313.4
 1975 03  7213·3
 1975 02  3413.3
 1975 01  8013.3
 1974 12 3813.4
 1974 11 413·1
 1974 10 4713.7
 1974 09 3413·6
 1974 08 8013.6
 1974 07 2913.5
 1974 06 5013.6
 1974 05 6913·5
 1974 04 1613·6
 1974 03 413·5
 1974 02 3113.7
 1974 01 413·6
 1973 12  9413·8
 1973 11  1014.0
 1973 10  114.0
 1973 09  8413.9
 1973 08  9214.3
 1973 07  5514.3
 1973 06  114.3
 1973 05  7714.3
 1973 04  814.3
 1973 03  7014.4
 1973 02  9114·2
 1973 01  7814.0
 1972 12 6914·6
 1972 11 1214·6
 1972 10 6015.0
 1972 09 515.1
 1972 08 2515·0
 1972 07 6115.0
 1972 06 2115.0
 1972 05 414·9
 1972 04 5114·8
 1972 03 2615·4
 1972 02 1215·3
 1972 01 4215·4
 1971 12  4815.5
 1971 11  3715.4
 1971 10  9615.5
 1971 09  1515.6
 1971 08  4015.6
 1971 07  5115·8
 1971 06  6015·8
 1971 05  4116.0
 1971 04  8015.7
 1971 03  5015.5
 1971 02  1815.5
 1971 01  6516.2
 1970 12 4016.0
 1970 11 4116·0
 1970 10 716.1
 1970 09 5516·0
 1970 08 2416.2
 1970 07 5416.2
 1970 06 9116·3
 1970 05 616·5
 1970 04 5416·8
 1970 03 4717.1
 1970 02 5616.9
 1970 01 3716.8
 1969 12  8316.5
 1969 11  216·8
 1969 10  1716.6
 1969 09  9217·0
 1969 08  8516·9
 1969 07  2516.7
 1969 06  1016·9
 1969 05  4017·0
 1969 04  6117.2
 1969 03  4717·3
 1969 02  017.1
 1969 01  7516·7
 1968 12 3616·9
 1968 11 2616·9
 1968 10 7316.9
 1968 09 1716.7
 1968 08 6016·6
 1968 07 4217·0
 1968 06 4317·1
 1968 05 1017·0
 1968 04 1016·3
 1968 03 316.3
 1968 02 4716.5
 1968 01 2216.5
 1967 12  8516·9
 1967 11  4016·9
 1967 10  4916·9
 1967 09  4916.7
 1967 08  1016.6
 1967 07  1016·8
 1967 06  3617·0
 1967 05  816.4
 1967 04  3716.4
 1967 03  9516.3
 1967 02  2116.6
 1967 01  4417·0
 1966 12 4016.5
 1966 11 116.9
 1966 10 4216·6
 1966 09 2716.7
 1966 08 2016·8
 1966 07 5916·4
 1966 06 6216.5
 1966 05 5016.4
 1966 04 216.9
 1966 03 2716.9
 1966 02 6916·9
 1966 01 3317·0
 1965 12  3717·0
 1965 11  8616.7
 1965 10  7617·2
 1965 09  2017·3
 1965 08  017·1
 1965 07  4217·2
 1965 06  2017.2
 1965 05  7917.6
 1965 04  9117.1
 1965 03  2817.6
 1965 02  6517·5
 1965 01  617·3
 1964 12 3717·2
 1964 11 017.0
 1964 10 9817·0
 1964 09 1916·9
 1964 08 8617·2
 1964 07 4017·6
 1964 06 3317.3
 1964 05 6218.0
 1964 04 1517.8
 1964 03 5317.5
 1964 02 617·4
 1964 01 417.1
 1963 12  2416.6
 1963 11  7317·1
 1963 10  8217.2
 1963 09  4017.6
 1963 08  3917·7
 1963 07  5517.7
 1963 06  4817.6
 1963 05  8917·0
 1963 04  916·7
 1963 03  8117·2
 1963 02  1717·0
 1963 01  9417·1
 1962 12 1117.1
 1962 11 5917·4
 1962 10 2617.7
 1962 09 2618·2
 1962 08 4418.0
 1962 07 1817.7
 1962 06 3918·2
 1962 05 7818·7
 1962 04 3418·5
 1962 03 1719·1
 1962 02 4419.1
 1962 01 6918·8
 1961 12  3118·6
 1961 11  3618·1
 1961 10  5318.1
 1961 09  4317·9
 1961 08  1118.4
 1961 07  8318.8
 1961 06  419.2
 1961 05  7018.9
 1961 04  7519·3
 1961 03  8920.2
 1961 02  6120.4
 1961 01  4420.8
 1960 12 4720.9
 1960 11 1020·7
 1960 10 1119.9
 1960 09 8320.2
 1960 08 7719·8
 1960 07 2919·8
 1960 06 6619.8
 1960 05 3320.1
 1960 04 4219·9
 1960 03 5219·5
 1960 02 6619·8
 1960 01 6220·1
 1959 12  4220·4
 1959 11  1020·1
 1959 10  7220·6
 1959 09  6420·4
 1959 08  220.5
 1959 07  6020.5
 1959 06  7320·2
 1959 05  5820·1
 1959 04  7220·0
 1959 03  8520.2
 1959 02  8119.6
 1959 01  8919·5
 1958 12 2819.7
 1958 11 9020.2
 1958 10 3520.3
 1958 09 2620.2
 1958 08 7120.5
 1958 07 720·6
 1958 06 9820.9
 1958 05 6221.2
 1958 04 2521.2
 1958 03 9221.6
 1958 02 5621.6
 1958 01 1821.4
 1957 12  4121·8
 1957 11  2921·4
 1957 10  2421.4
 1957 09  3621.7
 1957 08  9421·9
 1957 07  2222.2
 1957 06  3822.7
 1957 05  8722.3
 1957 04  8622.3
 1957 03  422.8
 1957 02  6322·7
 1957 01  6422·3
 1956 12 4023.2
 1956 11 3123.4
 1956 10 8523.0
 1956 09 8723·6
 1956 08 923.2
 1956 07 8523.5
 1956 06 1823·6
 1956 05 024·0
 1956 04 6624.0
 1956 03 7323·6
 1956 02 023.1
 1956 01 7124.3
 1955 12  1223.8
 1955 11  2624.0
 1955 10  9323·8
 1955 09  9523.5
 1955 08  7423.3
 1955 07  223·0
 1955 06  8522.6
 1955 05  9123·0
 1955 04  023.4
 1955 03  8022·8
 1955 02  9022.5
 1955 01  422·5
 1954 12 6722.6
 1954 11 6922.5
 1954 10 4423·3
 1954 09 223.1
 1954 08 7523.3
 1954 07 022.6
 1954 06 1222·7
 1954 05 7922·5
 1954 04 5022·8
 1954 03 2922.9
 1954 02 8123.4
 1954 01 5622.6
 1953 12  4122·4
 1953 11  3822·7
 1953 10  6323·8
 1953 09  7423·6
 1953 08  2425·3
 1953 07  3425·0
 1953 06  9724.5
 1953 05  524·1
 1953 04  023.9
 1953 03  4824.8
 1953 02  4625.2
 1953 01  4225·5
 1952 12 9424.9
 1952 11 3824·8
 1952 10 9724.0
 1952 09 524.4
 1952 08 5523·6
 1952 07 8424·1
 1952 06 6324.3
 1952 05 3623.8
 1952 04 6123.2
 1952 03 9322·7
 1952 02 8324.0
 1952 01 625·0
 1951 12  1124·4
 1951 11  9724·3
 1951 10  1924.3
 1951 09  925·0
 1951 08  3025·2
 1951 07  5325.0
 1951 06  5925.1
 1951 05  6325.9
 1951 04  6925.3
 1951 03  4225.2
 1951 02  1624·7
 1951 01  1424.1
 1950 12 325.0
 1950 11 7125·1
 1950 10 2824·8
 1950 09 2925·2
 1950 08 3325·7
 1950 07 7225.6
 1950 06 5725·6
 1950 05 425·4
 1950 04 8425.9
 1950 03 126.2
 1950 02 9226·0
 1950 01 5725·9
 1949 12  626·3
 1949 11  3926.3
 1949 10  4626.7
 1949 09  3326.0
 1949 08  7525·5
 1949 07  9425.6
 1949 06  5625.5
 1949 05  025·6
 1949 04  9225·8
 1949 03  9725·5
 1949 02  8526.3
 1949 01  5326·3
 1948 12 8126.7
 1948 11 526.5
 1948 10 2126·4
 1948 09 1126.1
 1948 08 9326·5
 1948 07 9926.2
 1948 06 7726.4
 1948 05 1826·0
 1948 04 326·0
 1948 03 8625·2
 1948 02 9225.9
 1948 01 4325·5
Economagic: Economic Chart Dispenser

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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: Civilian Employment-Population Ratio 65 yrs. & over: SA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

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