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Price
The current value of the Government Payrolls in United States is 7,000 . The Government Payrolls in United States decreased to 7,000 on 4/1/2024, after it was 78,000 on 3/1/2024. From 2/1/1939 to 5/1/2024, the average GDP in United States was 18,877.93 . The all-time high was reached on 8/1/2020 with 450,000 , while the lowest value was recorded on 4/1/2020 with -917,000 .
Government Payrolls ·
3 years
5 years
10 years
25 Years
Max
State payroll accounting | |
---|---|
2/1/1939 | 13,000 |
3/1/1939 | 1,000 |
5/1/1939 | 4,000 |
7/1/1939 | 16,000 |
8/1/1939 | 27,000 |
9/1/1939 | 30,000 |
10/1/1939 | 13,000 |
11/1/1939 | 20,000 |
12/1/1939 | 25,000 |
1/1/1940 | 16,000 |
3/1/1940 | 1,000 |
4/1/1940 | 1,000 |
5/1/1940 | 20,000 |
6/1/1940 | 46,000 |
7/1/1940 | 43,000 |
8/1/1940 | 21,000 |
9/1/1940 | 30,000 |
10/1/1940 | 41,000 |
11/1/1940 | 43,000 |
12/1/1940 | 19,000 |
1/1/1941 | 53,000 |
2/1/1941 | 36,000 |
3/1/1941 | 31,000 |
4/1/1941 | 50,000 |
5/1/1941 | 57,000 |
6/1/1941 | 59,000 |
7/1/1941 | 49,000 |
8/1/1941 | 71,000 |
9/1/1941 | 70,000 |
10/1/1941 | 16,000 |
11/1/1941 | 42,000 |
12/1/1941 | 22,000 |
1/1/1942 | 118,000 |
2/1/1942 | 57,000 |
3/1/1942 | 111,000 |
4/1/1942 | 100,000 |
5/1/1942 | 74,000 |
6/1/1942 | 79,000 |
7/1/1942 | 81,000 |
8/1/1942 | 223,000 |
9/1/1942 | 52,000 |
10/1/1942 | 90,000 |
11/1/1942 | 70,000 |
12/1/1942 | 46,000 |
1/1/1943 | 60,000 |
2/1/1943 | 91,000 |
3/1/1943 | 34,000 |
4/1/1943 | 10,000 |
5/1/1943 | 14,000 |
6/1/1943 | 43,000 |
9/1/1943 | 16,000 |
10/1/1943 | 3,000 |
11/1/1943 | 9,000 |
12/1/1943 | 92,000 |
5/1/1944 | 9,000 |
6/1/1944 | 26,000 |
7/1/1944 | 43,000 |
8/1/1944 | 14,000 |
9/1/1944 | 12,000 |
10/1/1944 | 7,000 |
11/1/1944 | 40,000 |
12/1/1944 | 112,000 |
6/1/1945 | 22,000 |
7/1/1945 | 4,000 |
4/1/1946 | 3,000 |
7/1/1946 | 2,000 |
9/1/1947 | 20,000 |
10/1/1947 | 27,000 |
11/1/1947 | 19,000 |
12/1/1947 | 20,000 |
1/1/1948 | 19,000 |
3/1/1948 | 8,000 |
4/1/1948 | 20,000 |
5/1/1948 | 38,000 |
6/1/1948 | 55,000 |
7/1/1948 | 38,000 |
8/1/1948 | 17,000 |
9/1/1948 | 14,000 |
10/1/1948 | 24,000 |
11/1/1948 | 40,000 |
12/1/1948 | 19,000 |
1/1/1949 | 6,000 |
3/1/1949 | 22,000 |
4/1/1949 | 33,000 |
5/1/1949 | 14,000 |
7/1/1949 | 6,000 |
8/1/1949 | 23,000 |
9/1/1949 | 5,000 |
12/1/1949 | 2,000 |
3/1/1950 | 152,000 |
4/1/1950 | 16,000 |
7/1/1950 | 68,000 |
8/1/1950 | 97,000 |
9/1/1950 | 41,000 |
10/1/1950 | 21,000 |
11/1/1950 | 13,000 |
12/1/1950 | 52,000 |
1/1/1951 | 38,000 |
2/1/1951 | 30,000 |
3/1/1951 | 28,000 |
4/1/1951 | 41,000 |
6/1/1951 | 82,000 |
7/1/1951 | 39,000 |
9/1/1951 | 33,000 |
10/1/1951 | 25,000 |
11/1/1951 | 49,000 |
12/1/1951 | 62,000 |
2/1/1952 | 61,000 |
3/1/1952 | 12,000 |
5/1/1952 | 32,000 |
6/1/1952 | 18,000 |
7/1/1952 | 25,000 |
9/1/1952 | 16,000 |
10/1/1952 | 82,000 |
12/1/1952 | 134,000 |
2/1/1953 | 3,000 |
6/1/1953 | 17,000 |
8/1/1953 | 31,000 |
10/1/1953 | 15,000 |
1/1/1954 | 17,000 |
2/1/1954 | 23,000 |
3/1/1954 | 13,000 |
4/1/1954 | 10,000 |
5/1/1954 | 23,000 |
6/1/1954 | 17,000 |
7/1/1954 | 22,000 |
8/1/1954 | 24,000 |
9/1/1954 | 2,000 |
10/1/1954 | 6,000 |
11/1/1954 | 64,000 |
3/1/1955 | 15,000 |
4/1/1955 | 21,000 |
5/1/1955 | 32,000 |
6/1/1955 | 29,000 |
7/1/1955 | 29,000 |
9/1/1955 | 44,000 |
10/1/1955 | 51,000 |
12/1/1955 | 49,000 |
1/1/1956 | 35,000 |
2/1/1956 | 45,000 |
3/1/1956 | 40,000 |
4/1/1956 | 24,000 |
5/1/1956 | 91,000 |
7/1/1956 | 38,000 |
8/1/1956 | 46,000 |
9/1/1956 | 30,000 |
10/1/1956 | 38,000 |
11/1/1956 | 34,000 |
12/1/1956 | 31,000 |
1/1/1957 | 36,000 |
2/1/1957 | 26,000 |
3/1/1957 | 26,000 |
4/1/1957 | 29,000 |
5/1/1957 | 12,000 |
7/1/1957 | 52,000 |
8/1/1957 | 3,000 |
10/1/1957 | 19,000 |
11/1/1957 | 1,000 |
12/1/1957 | 77,000 |
2/1/1958 | 11,000 |
3/1/1958 | 16,000 |
4/1/1958 | 20,000 |
5/1/1958 | 26,000 |
6/1/1958 | 32,000 |
7/1/1958 | 46,000 |
8/1/1958 | 40,000 |
9/1/1958 | 4,000 |
10/1/1958 | 15,000 |
12/1/1958 | 72,000 |
1/1/1959 | 5,000 |
2/1/1959 | 11,000 |
3/1/1959 | 16,000 |
4/1/1959 | 10,000 |
5/1/1959 | 11,000 |
7/1/1959 | 30,000 |
8/1/1959 | 8,000 |
9/1/1959 | 58,000 |
10/1/1959 | 26,000 |
11/1/1959 | 19,000 |
12/1/1959 | 84,000 |
2/1/1960 | 19,000 |
3/1/1960 | 199,000 |
4/1/1960 | 9,000 |
7/1/1960 | 10,000 |
8/1/1960 | 30,000 |
9/1/1960 | 22,000 |
10/1/1960 | 8,000 |
11/1/1960 | 14,000 |
12/1/1960 | 81,000 |
2/1/1961 | 23,000 |
3/1/1961 | 24,000 |
4/1/1961 | 18,000 |
5/1/1961 | 35,000 |
6/1/1961 | 24,000 |
7/1/1961 | 36,000 |
8/1/1961 | 40,000 |
9/1/1961 | 32,000 |
10/1/1961 | 9,000 |
11/1/1961 | 7,000 |
12/1/1961 | 24,000 |
1/1/1962 | 15,000 |
2/1/1962 | 27,000 |
3/1/1962 | 23,000 |
4/1/1962 | 21,000 |
5/1/1962 | 36,000 |
6/1/1962 | 42,000 |
7/1/1962 | 26,000 |
8/1/1962 | 37,000 |
9/1/1962 | 26,000 |
10/1/1962 | 25,000 |
11/1/1962 | 31,000 |
1/1/1963 | 78,000 |
2/1/1963 | 27,000 |
3/1/1963 | 14,000 |
4/1/1963 | 19,000 |
5/1/1963 | 24,000 |
6/1/1963 | 14,000 |
7/1/1963 | 32,000 |
8/1/1963 | 34,000 |
9/1/1963 | 49,000 |
10/1/1963 | 62,000 |
11/1/1963 | 5,000 |
12/1/1963 | 13,000 |
1/1/1964 | 65,000 |
2/1/1964 | 19,000 |
3/1/1964 | 30,000 |
4/1/1964 | 33,000 |
5/1/1964 | 26,000 |
7/1/1964 | 8,000 |
8/1/1964 | 55,000 |
9/1/1964 | 54,000 |
10/1/1964 | 59,000 |
11/1/1964 | 34,000 |
12/1/1964 | 18,000 |
1/1/1965 | 40,000 |
2/1/1965 | 37,000 |
3/1/1965 | 36,000 |
4/1/1965 | 41,000 |
5/1/1965 | 43,000 |
6/1/1965 | 34,000 |
7/1/1965 | 73,000 |
8/1/1965 | 70,000 |
9/1/1965 | 67,000 |
10/1/1965 | 40,000 |
11/1/1965 | 58,000 |
12/1/1965 | 63,000 |
1/1/1966 | 42,000 |
2/1/1966 | 70,000 |
3/1/1966 | 81,000 |
4/1/1966 | 67,000 |
5/1/1966 | 62,000 |
6/1/1966 | 81,000 |
7/1/1966 | 72,000 |
8/1/1966 | 32,000 |
9/1/1966 | 57,000 |
10/1/1966 | 64,000 |
11/1/1966 | 76,000 |
12/1/1966 | 53,000 |
1/1/1967 | 59,000 |
2/1/1967 | 38,000 |
3/1/1967 | 44,000 |
4/1/1967 | 38,000 |
5/1/1967 | 39,000 |
6/1/1967 | 60,000 |
7/1/1967 | 10,000 |
8/1/1967 | 46,000 |
9/1/1967 | 33,000 |
10/1/1967 | 19,000 |
11/1/1967 | 53,000 |
12/1/1967 | 40,000 |
1/1/1968 | 59,000 |
2/1/1968 | 25,000 |
3/1/1968 | 23,000 |
4/1/1968 | 36,000 |
5/1/1968 | 27,000 |
6/1/1968 | 82,000 |
7/1/1968 | 31,000 |
8/1/1968 | 24,000 |
9/1/1968 | 25,000 |
10/1/1968 | 34,000 |
11/1/1968 | 6,000 |
12/1/1968 | 38,000 |
1/1/1969 | 64,000 |
2/1/1969 | 15,000 |
3/1/1969 | 5,000 |
4/1/1969 | 16,000 |
5/1/1969 | 39,000 |
6/1/1969 | 75,000 |
8/1/1969 | 33,000 |
9/1/1969 | 6,000 |
10/1/1969 | 51,000 |
11/1/1969 | 18,000 |
12/1/1969 | 29,000 |
1/1/1970 | 19,000 |
2/1/1970 | 22,000 |
3/1/1970 | 85,000 |
4/1/1970 | 102,000 |
7/1/1970 | 30,000 |
8/1/1970 | 14,000 |
9/1/1970 | 30,000 |
10/1/1970 | 52,000 |
11/1/1970 | 37,000 |
12/1/1970 | 15,000 |
1/1/1971 | 33,000 |
3/1/1971 | 31,000 |
4/1/1971 | 37,000 |
5/1/1971 | 25,000 |
6/1/1971 | 38,000 |
7/1/1971 | 3,000 |
8/1/1971 | 30,000 |
9/1/1971 | 27,000 |
10/1/1971 | 47,000 |
11/1/1971 | 33,000 |
12/1/1971 | 42,000 |
1/1/1972 | 76,000 |
2/1/1972 | 32,000 |
3/1/1972 | 31,000 |
4/1/1972 | 29,000 |
5/1/1972 | 58,000 |
7/1/1972 | 77,000 |
8/1/1972 | 48,000 |
9/1/1972 | 45,000 |
10/1/1972 | 31,000 |
11/1/1972 | 37,000 |
12/1/1972 | 41,000 |
1/1/1973 | 6,000 |
2/1/1973 | 21,000 |
3/1/1973 | 34,000 |
4/1/1973 | 32,000 |
5/1/1973 | 40,000 |
6/1/1973 | 55,000 |
8/1/1973 | 39,000 |
10/1/1973 | 85,000 |
11/1/1973 | 58,000 |
12/1/1973 | 35,000 |
1/1/1974 | 20,000 |
2/1/1974 | 45,000 |
3/1/1974 | 17,000 |
4/1/1974 | 39,000 |
5/1/1974 | 30,000 |
6/1/1974 | 18,000 |
7/1/1974 | 49,000 |
8/1/1974 | 40,000 |
9/1/1974 | 94,000 |
10/1/1974 | 62,000 |
11/1/1974 | 48,000 |
12/1/1974 | 27,000 |
1/1/1975 | 65,000 |
2/1/1975 | 123,000 |
3/1/1975 | 7,000 |
4/1/1975 | 41,000 |
5/1/1975 | 32,000 |
7/1/1975 | 77,000 |
8/1/1975 | 9,000 |
10/1/1975 | 76,000 |
11/1/1975 | 3,000 |
12/1/1975 | 43,000 |
1/1/1976 | 23,000 |
2/1/1976 | 12,000 |
3/1/1976 | 6,000 |
7/1/1976 | 30,000 |
8/1/1976 | 14,000 |
10/1/1976 | 57,000 |
11/1/1976 | 45,000 |
12/1/1976 | 2,000 |
4/1/1977 | 25,000 |
5/1/1977 | 57,000 |
6/1/1977 | 75,000 |
7/1/1977 | 92,000 |
8/1/1977 | 29,000 |
9/1/1977 | 75,000 |
10/1/1977 | 60,000 |
11/1/1977 | 52,000 |
12/1/1977 | 23,000 |
1/1/1978 | 73,000 |
2/1/1978 | 60,000 |
3/1/1978 | 60,000 |
4/1/1978 | 66,000 |
5/1/1978 | 37,000 |
6/1/1978 | 18,000 |
7/1/1978 | 49,000 |
10/1/1978 | 39,000 |
11/1/1978 | 36,000 |
12/1/1978 | 17,000 |
1/1/1979 | 26,000 |
2/1/1979 | 10,000 |
3/1/1979 | 9,000 |
4/1/1979 | 21,000 |
5/1/1979 | 13,000 |
6/1/1979 | 55,000 |
7/1/1979 | 105,000 |
8/1/1979 | 79,000 |
10/1/1979 | 8,000 |
11/1/1979 | 37,000 |
12/1/1979 | 7,000 |
1/1/1980 | 21,000 |
2/1/1980 | 25,000 |
3/1/1980 | 70,000 |
4/1/1980 | 287,000 |
10/1/1980 | 56,000 |
11/1/1980 | 5,000 |
7/1/1981 | 16,000 |
10/1/1981 | 38,000 |
11/1/1981 | 9,000 |
3/1/1982 | 13,000 |
6/1/1982 | 13,000 |
8/1/1982 | 40,000 |
10/1/1982 | 33,000 |
11/1/1982 | 21,000 |
12/1/1982 | 4,000 |
1/1/1983 | 42,000 |
3/1/1983 | 1,000 |
5/1/1983 | 15,000 |
6/1/1983 | 15,000 |
8/1/1983 | 5,000 |
9/1/1983 | 26,000 |
11/1/1983 | 11,000 |
12/1/1983 | 11,000 |
1/1/1984 | 2,000 |
2/1/1984 | 15,000 |
3/1/1984 | 5,000 |
4/1/1984 | 45,000 |
5/1/1984 | 28,000 |
6/1/1984 | 24,000 |
7/1/1984 | 45,000 |
8/1/1984 | 52,000 |
9/1/1984 | 31,000 |
10/1/1984 | 19,000 |
11/1/1984 | 37,000 |
1/1/1985 | 54,000 |
2/1/1985 | 13,000 |
3/1/1985 | 46,000 |
4/1/1985 | 35,000 |
5/1/1985 | 44,000 |
6/1/1985 | 24,000 |
7/1/1985 | 122,000 |
9/1/1985 | 19,000 |
10/1/1985 | 16,000 |
11/1/1985 | 20,000 |
12/1/1985 | 20,000 |
1/1/1986 | 21,000 |
2/1/1986 | 44,000 |
4/1/1986 | 10,000 |
5/1/1986 | 25,000 |
8/1/1986 | 21,000 |
9/1/1986 | 110,000 |
10/1/1986 | 59,000 |
11/1/1986 | 36,000 |
12/1/1986 | 16,000 |
1/1/1987 | 24,000 |
3/1/1987 | 28,000 |
4/1/1987 | 45,000 |
5/1/1987 | 3,000 |
6/1/1987 | 12,000 |
7/1/1987 | 36,000 |
8/1/1987 | 12,000 |
10/1/1987 | 134,000 |
11/1/1987 | 30,000 |
12/1/1987 | 48,000 |
1/1/1988 | 18,000 |
2/1/1988 | 24,000 |
3/1/1988 | 58,000 |
4/1/1988 | 5,000 |
5/1/1988 | 29,000 |
6/1/1988 | 34,000 |
8/1/1988 | 50,000 |
9/1/1988 | 90,000 |
10/1/1988 | 36,000 |
11/1/1988 | 76,000 |
1/1/1989 | 38,000 |
2/1/1989 | 38,000 |
3/1/1989 | 10,000 |
4/1/1989 | 18,000 |
5/1/1989 | 36,000 |
6/1/1989 | 36,000 |
8/1/1989 | 84,000 |
9/1/1989 | 38,000 |
10/1/1989 | 6,000 |
11/1/1989 | 24,000 |
12/1/1989 | 18,000 |
1/1/1990 | 76,000 |
2/1/1990 | 26,000 |
3/1/1990 | 117,000 |
4/1/1990 | 83,000 |
5/1/1990 | 222,000 |
7/1/1990 | 4,000 |
10/1/1990 | 6,000 |
11/1/1990 | 7,000 |
12/1/1990 | 18,000 |
1/1/1991 | 6,000 |
2/1/1991 | 8,000 |
3/1/1991 | 6,000 |
5/1/1991 | 13,000 |
6/1/1991 | 63,000 |
7/1/1991 | 37,000 |
10/1/1991 | 50,000 |
11/1/1991 | 34,000 |
12/1/1991 | 14,000 |
1/1/1992 | 47,000 |
2/1/1992 | 1,000 |
3/1/1992 | 26,000 |
4/1/1992 | 24,000 |
5/1/1992 | 14,000 |
6/1/1992 | 9,000 |
7/1/1992 | 55,000 |
8/1/1992 | 66,000 |
11/1/1992 | 13,000 |
12/1/1992 | 37,000 |
1/1/1993 | 23,000 |
2/1/1993 | 1,000 |
3/1/1993 | 5,000 |
4/1/1993 | 31,000 |
5/1/1993 | 13,000 |
6/1/1993 | 18,000 |
7/1/1993 | 91,000 |
9/1/1993 | 13,000 |
10/1/1993 | 1,000 |
11/1/1993 | 26,000 |
12/1/1993 | 41,000 |
1/1/1994 | 38,000 |
2/1/1994 | 3,000 |
3/1/1994 | 40,000 |
4/1/1994 | 33,000 |
5/1/1994 | 41,000 |
6/1/1994 | 10,000 |
7/1/1994 | 27,000 |
8/1/1994 | 5,000 |
9/1/1994 | 31,000 |
10/1/1994 | 7,000 |
11/1/1994 | 23,000 |
12/1/1994 | 21,000 |
1/1/1995 | 9,000 |
2/1/1995 | 10,000 |
3/1/1995 | 20,000 |
4/1/1995 | 7,000 |
6/1/1995 | 27,000 |
9/1/1995 | 1,000 |
10/1/1995 | 34,000 |
12/1/1995 | 3,000 |
2/1/1996 | 35,000 |
3/1/1996 | 47,000 |
5/1/1996 | 14,000 |
7/1/1996 | 19,000 |
9/1/1996 | 63,000 |
11/1/1996 | 11,000 |
12/1/1996 | 6,000 |
1/1/1997 | 22,000 |
2/1/1997 | 5,000 |
3/1/1997 | 10,000 |
6/1/1997 | 59,000 |
7/1/1997 | 26,000 |
9/1/1997 | 62,000 |
10/1/1997 | 59,000 |
11/1/1997 | 23,000 |
12/1/1997 | 5,000 |
1/1/1998 | 4,000 |
2/1/1998 | 16,000 |
3/1/1998 | 6,000 |
4/1/1998 | 24,000 |
5/1/1998 | 59,000 |
6/1/1998 | 4,000 |
7/1/1998 | 51,000 |
8/1/1998 | 29,000 |
9/1/1998 | 26,000 |
10/1/1998 | 16,000 |
11/1/1998 | 43,000 |
12/1/1998 | 35,000 |
1/1/1999 | 5,000 |
2/1/1999 | 60,000 |
3/1/1999 | 24,000 |
4/1/1999 | 69,000 |
6/1/1999 | 43,000 |
7/1/1999 | 67,000 |
8/1/1999 | 36,000 |
9/1/1999 | 29,000 |
10/1/1999 | 53,000 |
11/1/1999 | 39,000 |
12/1/1999 | 44,000 |
1/1/2000 | 31,000 |
2/1/2000 | 28,000 |
3/1/2000 | 134,000 |
4/1/2000 | 69,000 |
5/1/2000 | 345,000 |
10/1/2000 | 8,000 |
11/1/2000 | 17,000 |
12/1/2000 | 44,000 |
1/1/2001 | 31,000 |
2/1/2001 | 71,000 |
3/1/2001 | 39,000 |
4/1/2001 | 47,000 |
5/1/2001 | 37,000 |
6/1/2001 | 108,000 |
7/1/2001 | 48,000 |
8/1/2001 | 33,000 |
9/1/2001 | 24,000 |
10/1/2001 | 33,000 |
11/1/2001 | 51,000 |
12/1/2001 | 29,000 |
1/1/2002 | 22,000 |
2/1/2002 | 13,000 |
3/1/2002 | 41,000 |
4/1/2002 | 12,000 |
5/1/2002 | 71,000 |
6/1/2002 | 35,000 |
8/1/2002 | 45,000 |
10/1/2002 | 13,000 |
11/1/2002 | 22,000 |
12/1/2002 | 7,000 |
1/1/2003 | 38,000 |
6/1/2003 | 39,000 |
7/1/2003 | 27,000 |
10/1/2003 | 54,000 |
12/1/2003 | 11,000 |
2/1/2004 | 12,000 |
3/1/2004 | 38,000 |
4/1/2004 | 26,000 |
7/1/2004 | 5,000 |
8/1/2004 | 20,000 |
9/1/2004 | 9,000 |
10/1/2004 | 21,000 |
11/1/2004 | 36,000 |
12/1/2004 | 1,000 |
1/1/2005 | 42,000 |
2/1/2005 | 9,000 |
4/1/2005 | 14,000 |
5/1/2005 | 27,000 |
7/1/2005 | 94,000 |
8/1/2005 | 6,000 |
11/1/2005 | 30,000 |
12/1/2005 | 20,000 |
2/1/2006 | 31,000 |
3/1/2006 | 25,000 |
4/1/2006 | 16,000 |
5/1/2006 | 7,000 |
7/1/2006 | 51,000 |
8/1/2006 | 38,000 |
9/1/2006 | 71,000 |
11/1/2006 | 15,000 |
12/1/2006 | 5,000 |
1/1/2007 | 7,000 |
2/1/2007 | 36,000 |
3/1/2007 | 18,000 |
4/1/2007 | 26,000 |
5/1/2007 | 18,000 |
6/1/2007 | 14,000 |
8/1/2007 | 55,000 |
9/1/2007 | 53,000 |
10/1/2007 | 18,000 |
11/1/2007 | 37,000 |
12/1/2007 | 42,000 |
1/1/2008 | 12,000 |
2/1/2008 | 29,000 |
3/1/2008 | 26,000 |
4/1/2008 | 7,000 |
5/1/2008 | 33,000 |
6/1/2008 | 34,000 |
7/1/2008 | 51,000 |
10/1/2008 | 12,000 |
11/1/2008 | 11,000 |
1/1/2009 | 23,000 |
4/1/2009 | 117,000 |
8/1/2009 | 16,000 |
10/1/2009 | 73,000 |
11/1/2009 | 9,000 |
1/1/2010 | 9,000 |
3/1/2010 | 42,000 |
4/1/2010 | 51,000 |
5/1/2010 | 427,000 |
10/1/2010 | 50,000 |
6/1/2011 | 35,000 |
10/1/2011 | 15,000 |
2/1/2012 | 1,000 |
6/1/2012 | 19,000 |
8/1/2012 | 3,000 |
9/1/2012 | 9,000 |
12/1/2012 | 4,000 |
2/1/2013 | 12,000 |
8/1/2013 | 16,000 |
9/1/2013 | 4,000 |
11/1/2013 | 13,000 |
2/1/2014 | 11,000 |
3/1/2014 | 8,000 |
4/1/2014 | 20,000 |
6/1/2014 | 63,000 |
7/1/2014 | 6,000 |
9/1/2014 | 42,000 |
10/1/2014 | 20,000 |
11/1/2014 | 15,000 |
12/1/2014 | 15,000 |
1/1/2015 | 13,000 |
2/1/2015 | 18,000 |
4/1/2015 | 35,000 |
5/1/2015 | 7,000 |
6/1/2015 | 3,000 |
7/1/2015 | 35,000 |
8/1/2015 | 10,000 |
10/1/2015 | 16,000 |
11/1/2015 | 25,000 |
12/1/2015 | 16,000 |
1/1/2016 | 17,000 |
2/1/2016 | 24,000 |
3/1/2016 | 40,000 |
4/1/2016 | 6,000 |
5/1/2016 | 15,000 |
7/1/2016 | 109,000 |
9/1/2016 | 39,000 |
12/1/2016 | 27,000 |
1/1/2017 | 12,000 |
2/1/2017 | 10,000 |
3/1/2017 | 3,000 |
4/1/2017 | 6,000 |
5/1/2017 | 12,000 |
6/1/2017 | 13,000 |
7/1/2017 | 14,000 |
9/1/2017 | 23,000 |
10/1/2017 | 28,000 |
11/1/2017 | 18,000 |
12/1/2017 | 5,000 |
2/1/2018 | 45,000 |
3/1/2018 | 8,000 |
4/1/2018 | 17,000 |
5/1/2018 | 5,000 |
6/1/2018 | 33,000 |
8/1/2018 | 32,000 |
9/1/2018 | 6,000 |
10/1/2018 | 5,000 |
12/1/2018 | 38,000 |
2/1/2019 | 17,000 |
3/1/2019 | 44,000 |
4/1/2019 | 50,000 |
6/1/2019 | 42,000 |
8/1/2019 | 53,000 |
9/1/2019 | 28,000 |
10/1/2019 | 17,000 |
11/1/2019 | 39,000 |
12/1/2019 | 17,000 |
1/1/2020 | 61,000 |
2/1/2020 | 80,000 |
6/1/2020 | 33,000 |
7/1/2020 | 109,000 |
8/1/2020 | 450,000 |
1/1/2021 | 112,000 |
3/1/2021 | 84,000 |
4/1/2021 | 52,000 |
5/1/2021 | 4,000 |
6/1/2021 | 101,000 |
7/1/2021 | 59,000 |
8/1/2021 | 14,000 |
11/1/2021 | 5,000 |
12/1/2021 | 27,000 |
4/1/2022 | 33,000 |
5/1/2022 | 28,000 |
6/1/2022 | 2,000 |
7/1/2022 | 150,000 |
9/1/2022 | 7,000 |
10/1/2022 | 30,000 |
11/1/2022 | 63,000 |
12/1/2022 | 3,000 |
1/1/2023 | 123,000 |
2/1/2023 | 61,000 |
3/1/2023 | 55,000 |
4/1/2023 | 47,000 |
5/1/2023 | 49,000 |
6/1/2023 | 55,000 |
7/1/2023 | 36,000 |
8/1/2023 | 60,000 |
9/1/2023 | 50,000 |
10/1/2023 | 67,000 |
11/1/2023 | 30,000 |
12/1/2023 | 76,000 |
1/1/2024 | 60,000 |
2/1/2024 | 55,000 |
3/1/2024 | 78,000 |
4/1/2024 | 7,000 |
Government Payrolls History
Date | Value |
---|---|
4/1/2024 | 7,000 |
3/1/2024 | 78,000 |
2/1/2024 | 55,000 |
1/1/2024 | 60,000 |
12/1/2023 | 76,000 |
11/1/2023 | 30,000 |
10/1/2023 | 67,000 |
9/1/2023 | 50,000 |
8/1/2023 | 60,000 |
7/1/2023 | 36,000 |
Similar Macro Indicators to Government Payrolls
Name | Current | Previous | Frequency |
---|---|---|---|
🇺🇸 ADP Employment Change | 152,000 | 188,000 | Monthly |
🇺🇸 Announcements of Hiring Plans | 4,236 Persons | 9,802 Persons | Monthly |
🇺🇸 Average Hourly Earnings | 0.4 % | 0.2 % | Monthly |
🇺🇸 Average Hourly Earnings YoY | 4.1 % | 4 % | Monthly |
🇺🇸 Average Weekly Hours | 34.3 Hours | 34.3 Hours | Monthly |
🇺🇸 Cancellation rate | 2.2 % | 2.2 % | Monthly |
🇺🇸 Challenger Job Cuts | 55,597 Persons | 72,821 Persons | Monthly |
🇺🇸 Continued Jobless Claims | 1.875 M | 1.869 M | frequency_weekly |
🇺🇸 Employed persons | 161.496 M | 161.864 M | Monthly |
🇺🇸 Employment Cost Index | 1.2 % | 0.9 % | Quarter |
🇺🇸 Employment Cost Index Benefits | 1.1 % | 0.7 % | Quarter |
🇺🇸 Employment Cost Index Wages | 1.1 % | 1.1 % | Quarter |
🇺🇸 Employment rate | 60.1 % | 60.2 % | Monthly |
🇺🇸 Full-time employment | 133.496 M | 133.66 M | Monthly |
🇺🇸 Initial Jobless Claims | 213,000 | 219,000 | frequency_weekly |
🇺🇸 Job Opportunities | 8.14 M | 7.919 M | Monthly |
🇺🇸 Job Opportunities | 7.418 M | 7.939 M | Monthly |
🇺🇸 Job resignations | 3.459 M | 3.452 M | Monthly |
🇺🇸 Labor costs | 121.983 points | 121.397 points | Quarter |
🇺🇸 Labor force participation rate | 62.6 % | 62.7 % | Monthly |
🇺🇸 Layoffs and Terminations | 1.498 M | 1.678 M | Monthly |
🇺🇸 Long-term unemployment rate | 0.8 % | 0.74 % | Monthly |
🇺🇸 Manufacturing wages | -46,000 | -6,000 | Monthly |
🇺🇸 Minimum Wages | 7.25 USD/Hour | 7.25 USD/Hour | Annually |
🇺🇸 Non-Agricultural Productivity QoQ | 2.2 % | 2.1 % | Quarter |
🇺🇸 Non-farm Payrolls | 272,000 | 165,000 | Monthly |
🇺🇸 Nonfarm Private Employment | 229,000 | 158,000 | Monthly |
🇺🇸 Part-time work | 28.004 M | 27.718 M | Monthly |
🇺🇸 Population | 335.89 M | 334.13 M | Annually |
🇺🇸 Productivity | 111.909 points | 111.827 points | Quarter |
🇺🇸 Retirement Age Men | 66.67 Years | 66.5 Years | Annually |
🇺🇸 Retirement Age Women | 66.67 Years | 66.5 Years | Annually |
🇺🇸 U6 Unemployment Rate | 7.4 % | 7.4 % | Monthly |
🇺🇸 Unemployed Persons | 6.984 M | 6.834 M | Monthly |
🇺🇸 Unemployment Claims 4-Week Average | 240,750 | 238,250 | frequency_weekly |
🇺🇸 Unemployment Rate | 4.1 % | 4.1 % | Monthly |
🇺🇸 Unit Labor Costs QoQ | 1.9 % | 2.4 % | Quarter |
🇺🇸 Wage Growth | 6.4 % | 6.5 % | Monthly |
🇺🇸 Wages | 29.99 USD/Hour | 29.85 USD/Hour | Monthly |
🇺🇸 Wages in Manufacturing | 28.19 USD/Hour | 28.12 USD/Hour | Monthly |
🇺🇸 Youth Unemployment Rate | 9.5 % | 9.2 % | Monthly |
Government Payrolls report the net change in the number of employees within the Government sector in the United States, encompassing Federal, State, and Local governments.
Macro pages for other countries in America
- 🇦🇷Argentina
- 🇦🇼Aruba
- 🇧🇸Bahamas
- 🇧🇧Barbados
- 🇧🇿Belize
- 🇧🇲Bermuda
- 🇧🇴Bolivia
- 🇧🇷Brazil
- 🇨🇦Canada
- 🇰🇾Cayman Islands
- 🇨🇱Chile
- 🇨🇴Colombia
- 🇨🇷Costa Rica
- 🇨🇺Cuba
- 🇩🇴Dominican Republic
- 🇪🇨Ecuador
- 🇸🇻El Salvador
- 🇬🇹Guatemala
- 🇬🇾Guyana
- 🇭🇹Haiti
- 🇭🇳Honduras
- 🇯🇲Jamaica
- 🇲🇽Mexico
- 🇳🇮Nicaragua
- 🇵🇦Panama
- 🇵🇾Paraguay
- 🇵🇪Peru
- 🇵🇷Puerto Rico
- 🇸🇷Suriname
- 🇹🇹Trinidad and Tobago
- 🇺🇾Uruguay
- 🇻🇪Venezuela
- 🇦🇬Antigua and Barbuda
- 🇩🇲Dominica
- 🇬🇩Grenada
What is Government Payrolls?
Government payrolls constitute a critical segment of macroeconomic analysis, helping policymakers, researchers, and stakeholders understand and assess the broader economic health of a country. Labor represents a vital factor in any economy, impacting consumer spending, business investment, and overall economic growth. At Eulerpool, our diligent focus on providing accurate and real-time macroeconomic data extends to government payrolls, offering comprehensive insights for strategic decision-making. Government payrolls encompass the total compensation that government employees receive, including salaries, wages, benefits, and bonuses. Analyzing these figures can offer invaluable perspectives on public sector employment trends, fiscal policies, and the broader economic landscape. The size and composition of a government's payroll can significantly influence several macroeconomic indicators, including inflation rates, gross domestic product (GDP), public debt, and private sector growth. One essential aspect of understanding government payrolls is their correlation with employment levels within the public sector. A rise in government payrolls may signify an increase in public sector employment, which can be indicative of a government investing in public infrastructure, health, education, defense, and other critical services. Conversely, a declining trend in government payrolls could denote budget cuts, austerity measures, or efficiency drives aimed at reducing public expenditure. These fluctuations offer vital data points for macroeconomic modeling and forecasting. Government payroll data is also instrumental for understanding fiscal health and budgeting practices. The proportion of a country's budget allocated to payroll expenses can impact its ability to fund other essential services and invest in capital projects. A high payroll-to-budget ratio may result in increased public debt if a government relies on borrowing to meet its payroll obligations. Conversely, a lower payroll ratio might reflect a leaner, perhaps more efficient, public sector. At Eulerpool, our comprehensive database allows users to track and analyze these ratios over time, providing a valuable tool for economic analysis and policy recommendation. Inflation is another key area where government payroll data serves as a crucial input. Changes in government payrolls can have direct and indirect effects on inflation rates. Increased payroll spending typically raises disposable income levels among public sector workers, potentially boosting consumer demand for goods and services, which could drive up prices and inflation. Moreover, higher payroll costs might pressure governments to adjust taxes or increase public borrowing, both of which can also have inflationary consequences. Monitoring these dynamics is essential for central banks and policymakers aiming to maintain price stability. Private sector dynamics are often influenced by government payroll policies as well. Competitive salaries and benefits in the public sector can attract talent away from private enterprises, affecting labor supply and wage structures in the broader economy. Additionally, extensive government hiring can reduce unemployment rates, enhancing economic stability and consumer confidence, which are vital for sustained economic growth. Conversely, aggressive payroll cuts may swell the pool of job seekers, potentially driving down wages and increasing unemployment rates. Hence, understanding government payroll trends and their broader economic implications enables businesses to strategize effectively. On a more granular level, sector-specific payroll analysis can offer detailed insights into governmental priorities and policy directions. For instance, increased payroll expenditures in the healthcare sector might indicate reforms or expansions in public healthcare provision, reflecting a commitment to improving public health infrastructure. Similarly, payroll data relating to education, defense, or public safety can reveal a government’s priorities and strategic initiatives. Regional analysis of government payrolls provides another layer of insights, particularly in federal or highly decentralized systems where local governments have significant payroll responsibilities. Differences in payroll spending across regions can reflect varying economic conditions, policy priorities, and administrative efficiencies. Comparing regional data can help identify best practices, challenges, and opportunities for interjurisdictional learning and collaboration. Furthermore, international comparisons of government payrolls can yield meaningful insights into how different countries manage and allocate their public sector resources. Variations in payroll spending can be attributed to differences in governance structures, economic conditions, and social priorities. Establishing benchmarks and understanding these differences can inform international development strategies and aid in the global discourse on effective public administration. At Eulerpool, we are committed to providing robust, reliable, and up-to-date macroeconomic data. Our comprehensive coverage of government payrolls includes detailed time-series data, trend analyses, and cross-sectional comparisons, serving as a valuable resource for economists, policymakers, business leaders, and researchers. By leveraging our platform, users can gain nuanced insights into the mechanisms driving public sector employment and compensation, empowering them to make informed decisions rooted in solid empirical evidence. In summary, government payrolls are a pivotal component of the macroeconomic landscape, encapsulating vital information about public sector employment, fiscal health, inflationary trends, private sector implications, sectoral investments, regional disparities, and international comparisons. At Eulerpool, we recognize the paramount importance of this data and strive to deliver an exhaustive and precise repository for comprehensive analysis and strategic insight. Our dedication to fostering a deeper understanding of macroeconomic dynamics makes us a trusted partner for all your economic data needs, enabling you to navigate the complexities of today's economic environment with confidence and clarity.