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 Series Title: Civilian labor force participation rate, 55-64 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 9862.3
 2002 11 1062·8
 2002 10 8862·9
 2002 09 7962.8
 2002 08 5461.9
 2002 07 8561.8
 2002 06 4761.8
 2002 05 4561.8
 2002 04 6361·1
 2002 03 4660·7
 2002 02 9461.4
 2002 01 9661·0
 2001 12  7760·7
 2001 11  7460.5
 2001 10  4360·4
 2001 09  7860.5
 2001 08  7060·2
 2001 07  7760.2
 2001 06  3160.3
 2001 05  6060·5
 2001 04  4360.2
 2001 03  8659·9
 2001 02  2159·7
 2001 01  3559·7
 2000 12 2259·2
 2000 11 5758·8
 2000 10 059·1
 2000 09 2359.1
 2000 08 5659·4
 2000 07 7259·2
 2000 06 8359.3
 2000 05 6758.8
 2000 04 2258.8
 2000 03 3959.3
 2000 02 759.6
 2000 01 3859·5
 1999 12  1959·3
 1999 11  8758·9
 1999 10  3459·1
 1999 09  2959·1
 1999 08  7359·8
 1999 07  7559.7
 1999 06  5259.6
 1999 05  5959.1
 1999 04  3459·3
 1999 03  8359·3
 1999 02  7659.2
 1999 01  7259.4
 1998 12 7959·4
 1998 11 1959·5
 1998 10 4159.5
 1998 09 3859.4
 1998 08 659.0
 1998 07 1458·8
 1998 06 1259.3
 1998 05 5159.6
 1998 04 4259.2
 1998 03 2559·0
 1998 02 7559·3
 1998 01 3059.2
 1997 12  3759·3
 1997 11  3259.7
 1997 10  4559·4
 1997 09  1959·0
 1997 08  6659.1
 1997 07  4458.4
 1997 06  5958.7
 1997 05  8659.1
 1997 04  2958·7
 1997 03  9258·8
 1997 02  7958·2
 1997 01  2758.2
 1996 12 5358.2
 1996 11 3158·0
 1996 10 9458.1
 1996 09 6158·3
 1996 08 8858·1
 1996 07 4558·4
 1996 06 1758·1
 1996 05 3157.6
 1996 04 857·0
 1996 03 3857.6
 1996 02 8557·6
 1996 01 757·5
 1995 12  1457.0
 1995 11  4457·7
 1995 10  6157·9
 1995 09  8257·6
 1995 08  3357·2
 1995 07  1957·4
 1995 06  3356·6
 1995 05  7756.8
 1995 04  1357·0
 1995 03  4556·7
 1995 02  1557·1
 1995 01  3457·4
 1994 12 3057·7
 1994 11 2757.4
 1994 10 4457·2
 1994 09 2456·7
 1994 08 8656·6
 1994 07 9856·2
 1994 06 8256·4
 1994 05 4057.1
 1994 04 456.3
 1994 03 1456·2
 1994 02 1956.4
 1994 01 256.9
 1993 12  3756·3
 1993 11  5856·0
 1993 10  6656.1
 1993 09  5456·1
 1993 08  5856.3
 1993 07  3555·7
 1993 06  6157.0
 1993 05  6457·0
 1993 04  6956·7
 1993 03  7756.6
 1993 02  6856.9
 1993 01  2755·8
 1992 12 9455.9
 1992 11 4155·8
 1992 10 7555·8
 1992 09 6356.3
 1992 08 8556·3
 1992 07 957·0
 1992 06 9356.7
 1992 05 1456.6
 1992 04 1656·4
 1992 03 8656·3
 1992 02 6255.9
 1992 01 5155.9
 1991 12  8855·5
 1991 11  655.6
 1991 10  4455·4
 1991 09  6855·8
 1991 08  2655·4
 1991 07  2455·5
 1991 06  2755.7
 1991 05  8355·3
 1991 04  8155.5
 1991 03  2355·5
 1991 02  2355·5
 1991 01  4155.7
 1990 12 2956·4
 1990 11 856.2
 1990 10 7156.2
 1990 09 1156.0
 1990 08 6956.0
 1990 07 1155.6
 1990 06 3455·4
 1990 05 8756·0
 1990 04 2655·5
 1990 03 8955·6
 1990 02 9955·8
 1990 01 8855.9
 1989 12  5256·1
 1989 11  2555·9
 1989 10  8055.4
 1989 09  5955·4
 1989 08  2255·1
 1989 07  2355·5
 1989 06  1455·7
 1989 05  6855·4
 1989 04  3655·5
 1989 03  1655·5
 1989 02  6455·2
 1989 01  1055.5
 1988 12 1955.0
 1988 11 6154.6
 1988 10 1854·6
 1988 09 454.6
 1988 08 2254·7
 1988 07 4054·1
 1988 06 8954.1
 1988 05 9354.3
 1988 04 2054.9
 1988 03 5854.4
 1988 02 1454.7
 1988 01 4854.5
 1987 12  1454·7
 1987 11  4754.8
 1987 10  5854.8
 1987 09  6154.3
 1987 08  2954·1
 1987 07  6554·3
 1987 06  754.5
 1987 05  5454·7
 1987 04  1654·3
 1987 03  9354·2
 1987 02  7453·9
 1987 01  6854.3
 1986 12 4953.8
 1986 11 3754.1
 1986 10 9854·1
 1986 09 7454.1
 1986 08 2954.6
 1986 07 2954·6
 1986 06 4254·6
 1986 05 6654.0
 1986 04 8253·7
 1986 03 2553·7
 1986 02 9253.3
 1986 01 6353·7
 1985 12  5853.7
 1985 11  953.9
 1985 10  6254·1
 1985 09  954.0
 1985 08  3254·4
 1985 07  8554.2
 1985 06  9154.3
 1985 05  7454·2
 1985 04  654.3
 1985 03  8554·6
 1985 02  4054·1
 1985 01  5054.0
 1984 12 354.4
 1984 11 6754·0
 1984 10 9853·7
 1984 09 5854.3
 1984 08 7554·2
 1984 07 1254·3
 1984 06 7754.4
 1984 05 4254.3
 1984 04 9654·5
 1984 03 2754.2
 1984 02 1654·4
 1984 01 7054·2
 1983 12  6854·8
 1983 11  4354.6
 1983 10  7854·5
 1983 09  3754.4
 1983 08  1654.2
 1983 07  1654.4
 1983 06  5054.6
 1983 05  6354·2
 1983 04  9054·3
 1983 03  2954·3
 1983 02  4454·7
 1983 01  9054.8
 1982 12 6554·9
 1982 11 8955.2
 1982 10 055·1
 1982 09 8955·8
 1982 08 4355.2
 1982 07 2655·2
 1982 06 8055.2
 1982 05 5355.0
 1982 04 4755.2
 1982 03 9755.0
 1982 02 7254·3
 1982 01 254·7
 1981 12  2954.4
 1981 11  8454.4
 1981 10  8854.6
 1981 09  8054.5
 1981 08  6454.8
 1981 07  9455.1
 1981 06  6855·1
 1981 05  5555.6
 1981 04  5355·4
 1981 03  5955.6
 1981 02  7255·4
 1981 01  2355·3
 1980 12 2155·0
 1980 11 3455·2
 1980 10 9055·4
 1980 09 155.5
 1980 08 1755.9
 1980 07 255.8
 1980 06 3555.8
 1980 05 3555·8
 1980 04 1956.0
 1980 03 6955.8
 1980 02 4356.2
 1980 01 9456.1
 1979 12  2556.0
 1979 11  6856.1
 1979 10  7956·5
 1979 09  7156.2
 1979 08  6256.1
 1979 07  5356·1
 1979 06  2955·9
 1979 05  8656·1
 1979 04  8055·9
 1979 03  856·5
 1979 02  856·7
 1979 01  8256·9
 1978 12 5356·6
 1978 11 3956·8
 1978 10 5256·1
 1978 09 3056·3
 1978 08 8455.9
 1978 07 7756.2
 1978 06 2556·3
 1978 05 2256.1
 1978 04 9656·3
 1978 03 7956·1
 1978 02 1456.1
 1978 01 8056·2
 1977 12  4156·5
 1977 11  2756.6
 1977 10  3356·6
 1977 09  4556.3
 1977 08  9355.7
 1977 07  2756.0
 1977 06  1956.2
 1977 05  8856.7
 1977 04  5456·4
 1977 03  1256·1
 1977 02  3556·2
 1977 01  356·3
 1976 12 4856.4
 1976 11 3756.4
 1976 10 7056·7
 1976 09 856.8
 1976 08 2657·0
 1976 07 8456.7
 1976 06 3556.5
 1976 05 4956.2
 1976 04 6356.5
 1976 03 6056·4
 1976 02 7056.6
 1976 01 9456.8
 1975 12  6056.8
 1975 11  9756·6
 1975 10  3657.0
 1975 09  3757.0
 1975 08  4257·1
 1975 07  5157.4
 1975 06  2157.2
 1975 05  9757.4
 1975 04  6057.3
 1975 03  457.3
 1975 02  4057·5
 1975 01  1957.5
 1974 12 8857.2
 1974 11 6256.7
 1974 10 2857.1
 1974 09 7257.4
 1974 08 2857·8
 1974 07 5857.9
 1974 06 5057.9
 1974 05 4957·9
 1974 04 458·4
 1974 03 4758·6
 1974 02 9458·6
 1974 01 7158.3
 1973 12  6858.0
 1973 11  1257.9
 1973 10  7158·2
 1973 09  8058·3
 1973 08  9358·2
 1973 07  5858.4
 1973 06  2058.4
 1973 05  4758.2
 1973 04  8258·3
 1973 03  1958.8
 1973 02  559.1
 1973 01  6558·8
 1972 12 5959·3
 1972 11 5059.4
 1972 10 1259.9
 1972 09 5460.1
 1972 08 7460·0
 1972 07 3260·0
 1972 06 5460.3
 1972 05 5860.4
 1972 04 460·3
 1972 03 7460.2
 1972 02 7160·2
 1972 01 4560.7
 1971 12  4861.1
 1971 11  661·6
 1971 10  2361·2
 1971 09  1061.0
 1971 08  3160·8
 1971 07  8460.5
 1971 06  061.0
 1971 05  7361·3
 1971 04  561.4
 1971 03  9161.7
 1971 02  1561.7
 1971 01  7662·0
 1970 12 4461.6
 1970 11 3461.7
 1970 10 461.8
 1970 09 9061·6
 1970 08 5061·6
 1970 07 4361·9
 1970 06 3262.0
 1970 05 961.9
 1970 04 4662·1
 1970 03 7562.2
 1970 02 8562·0
 1970 01 5161.8
 1969 12  8562.0
 1969 11  1361·7
 1969 10  7762.2
 1969 09  6162·1
 1969 08  4062·2
 1969 07  6362.2
 1969 06  4662.1
 1969 05  862.2
 1969 04  1362.3
 1969 03  5562.0
 1969 02  5562.3
 1969 01  8661.8
 1968 12 2962.2
 1968 11 4862.3
 1968 10 9161.9
 1968 09 1462·1
 1968 08 3862.2
 1968 07 2362.3
 1968 06 6762·7
 1968 05 3662·8
 1968 04 1662·0
 1968 03 8662·3
 1968 02 2162·2
 1968 01 2361·7
 1967 12  6362.5
 1967 11  6962.6
 1967 10  1762.7
 1967 09  6662.8
 1967 08  562.7
 1967 07  2862.4
 1967 06  4262.4
 1967 05  8762.2
 1967 04  9162·1
 1967 03  4661.6
 1967 02  962·0
 1967 01  2862.2
 1966 12 9762.2
 1966 11 2862.5
 1966 10 5562.2
 1966 09 6062.6
 1966 08 2462·5
 1966 07 762.4
 1966 06 4462.0
 1966 05 7662.2
 1966 04 9861·8
 1966 03 3961.9
 1966 02 6461.7
 1966 01 9561.9
 1965 12  6761·8
 1965 11  661·5
 1965 10  2761.7
 1965 09  6161.2
 1965 08  961.7
 1965 07  1562.0
 1965 06  7262·4
 1965 05  4462.0
 1965 04  2262.0
 1965 03  9662·0
 1965 02  6162·2
 1965 01  3862.0
 1964 12 3361.6
 1964 11 861.7
 1964 10 8262.3
 1964 09 6261·8
 1964 08 9361·7
 1964 07 3061.5
 1964 06 4862·1
 1964 05 6062.3
 1964 04 7562.6
 1964 03 7161.7
 1964 02 9761.8
 1964 01 161.8
 1963 12  8161·9
 1963 11  6162.3
 1963 10  9262·1
 1963 09  8062.1
 1963 08  3761·4
 1963 07  5861.8
 1963 06  2061·8
 1963 05  1562.2
 1963 04  9262·3
 1963 03  4262.0
 1963 02  9661·9
 1963 01  5061·9
 1962 12 2261·7
 1962 11 2161.4
 1962 10 5561.5
 1962 09 5661.9
 1962 08 2761·7
 1962 07 2661.2
 1962 06 6361·4
 1962 05 2561·5
 1962 04 3361·5
 1962 03 1461·5
 1962 02 561·4
 1962 01 7760·9
 1961 12  9061·3
 1961 11  6761·4
 1961 10  9661.2
 1961 09  5761·0
 1961 08  7461·7
 1961 07  9061.6
 1961 06  7261.6
 1961 05  3261.3
 1961 04  8460·9
 1961 03  1762·0
 1961 02  9861·9
 1961 01  9962·0
 1960 12 4761.9
 1960 11 361.8
 1960 10 6061.6
 1960 09 7461.5
 1960 08 1261·2
 1960 07 2960·7
 1960 06 7260.9
 1960 05 460·4
 1960 04 5660.7
 1960 03 459·5
 1960 02 7260·4
 1960 01 5660.5
 1959 12  7861·0
 1959 11  5860·8
 1959 10  2361.4
 1959 09  2661.1
 1959 08  361.2
 1959 07  4861·2
 1959 06  1160.8
 1959 05  3161·1
 1959 04  8360.8
 1959 03  5560·6
 1959 02  5160.2
 1959 01  1761.1
 1958 12 9360.8
 1958 11 8760·5
 1958 10 8160·5
 1958 09 5360·8
 1958 08 3260.0
 1958 07 7560·4
 1958 06 6260.8
 1958 05 3260.7
 1958 04 2760.6
 1958 03 7560.6
 1958 02 8360.6
 1958 01 7360.0
 1957 12  2860.4
 1957 11  6959·8
 1957 10  5759.9
 1957 09  2259·7
 1957 08  1059·4
 1957 07  6460·2
 1957 06  2260·3
 1957 05  4760.2
 1957 04  7459·9
 1957 03  9260.7
 1957 02  4160·6
 1957 01  4160.3
 1956 12 4460·6
 1956 11 860.5
 1956 10 160.5
 1956 09 2560·8
 1956 08 7260.8
 1956 07 9661.1
 1956 06 1561.0
 1956 05 4361·4
 1956 04 3361.3
 1956 03 6061·2
 1956 02 2260·3
 1956 01 6360·3
 1955 12  2760·1
 1955 11  3460.1
 1955 10  8460·2
 1955 09  7959·8
 1955 08  7960·3
 1955 07  7460.1
 1955 06  8959.4
 1955 05  1259.1
 1955 04  4059.0
 1955 03  6058·6
 1955 02  5058·3
 1955 01  558.7
 1954 12 8559.1
 1954 11 159.4
 1954 10 559.2
 1954 09 2659·2
 1954 08 1658.5
 1954 07 2758·0
 1954 06 1758.1
 1954 05 7158·8
 1954 04 5659·0
 1954 03 9658·5
 1954 02 7458.4
 1954 01 5958·3
 1953 12  5757·5
 1953 11  8857.9
 1953 10  8858.2
 1953 09  3258.1
 1953 08  9357·9
 1953 07  1158·3
 1953 06  9758·5
 1953 05  6257·7
 1953 04  6658.6
 1953 03  9659·1
 1953 02  6557.5
 1953 01  4257.0
 1952 12 157·8
 1952 11 059·0
 1952 10 7958·1
 1952 09 9058.7
 1952 08 4757.9
 1952 07 457·0
 1952 06 5256.1
 1952 05 5257.4
 1952 04 8156·6
 1952 03 1556·8
 1952 02 2257.0
 1952 01 9557·0
 1951 12  357.0
 1951 11  6556.9
 1951 10  5256.6
 1951 09  1656.4
 1951 08  3856.7
 1951 07  1057.2
 1951 06  3057·0
 1951 05  3156·8
 1951 04  3757.2
 1951 03  3258·0
 1951 02  6856.8
 1951 01  8756·4
 1950 12 7556·5
 1950 11 3856.5
 1950 10 556·4
 1950 09 5156.4
 1950 08 5256·5
 1950 07 5956·6
 1950 06 357.0
 1950 05 1857·4
 1950 04 9456.5
 1950 03 5256.3
 1950 02 5156·6
 1950 01 756.6
 1949 12  5156·8
 1949 11  9957.1
 1949 10  6156.7
 1949 09  6357.0
 1949 08  9856.4
 1949 07  656·0
 1949 06  7155.9
 1949 05  5455·9
 1949 04  3755·9
 1949 03  456·1
 1949 02  4556·1
 1949 01  7456·2
 1948 12 9156.6
 1948 11 5156.3
 1948 10 6956.5
 1948 09 4356·7
 1948 08 1356.9
 1948 07 2957.3
 1948 06 5757.3
 1948 05 556·7
 1948 04 7757·3
 1948 03 4357·1
 1948 02 4657.2
 1948 01 2957.0
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 labor force participation rate, 55-64 yrs.: SA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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