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| Series Title: Employment level, Nonagriculture, unpaid family workers, Male, 20-24 yrs; (Thousands): NSA |
| For this series: Numerical Data | Forecast | GIF Chart | PDF Chart | Excel file | Self-updating Excel file |
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1976 06 5714. Link to Series in Level 2 Subscription Site 1976 07 1118. Link to Series in Level 1 Subscription Site 1976 08 328. Link to Series in Level 0 Subscription Site 1976 09 9710. 1976 10 96 1976 11 7210. 1976 12 918 1977 01 27 1977 02 228 1977 03 2612. 1977 04 4514 1977 05 011 1977 06 4615 1977 07 5318 1977 08 714. 1977 09 3416 1977 10 558 1977 11 616 1977 12 143. 1978 01 746 1978 02 5115 1978 03 8116 1978 04 298 1978 05 1319. 1978 06 587 1978 07 706 1978 08 412 1978 09 726 1978 10 2710 1978 11 911 1978 12 626 1979 01 943 1979 02 349 1979 03 68. 1979 04 298. 1979 05 479. 1979 06 789. 1979 07 9113 1979 08 79 1979 09 289 1979 10 865. 1979 11 214 1979 12 825. 1980 01 5410 1980 02 712 1980 03 7920. 1980 04 6812. 1980 05 6915 1980 06 1828. 1980 07 7021. 1980 08 322 1980 09 4418. 1980 10 176. 1980 11 2611 1980 12 4910 1981 01 7113 1981 02 328. 1981 03 48. 1981 04 958. 1981 05 718 1981 06 126. 1981 07 8614. 1981 08 526. 1981 09 8618. 1981 10 3214. 1981 11 7811. 1981 12 6011. 1982 01 8712. 1982 02 938 1982 03 125 1982 04 814. 1982 05 683. 1982 06 2011. 1982 07 4412 1982 08 313 1982 09 4712 1982 10 658 1982 11 564 1982 12 387. 1983 01 698 1983 02 16 1983 03 5515. 1983 04 2510 1983 05 38. 1983 06 307. 1983 07 7311. 1983 08 276. 1983 09 4311. 1983 10 776. 1983 11 654. 1983 12 324. 1984 01 97. 1984 02 928. 1984 03 1410 1984 04 5116 1984 05 4316. 1984 06 5022 1984 07 2712 1984 08 2414. 1984 09 1713. 1984 10 537. 1984 11 3413 1984 12 1318 1985 01 227 1985 02 258. 1985 03 9314. 1985 04 610 1985 05 809. 1985 06 1818. 1985 07 8613 1985 08 1613. 1985 09 346 1985 10 53. 1985 11 189 1985 12 8112 1986 01 524 1986 02 883. 1986 03 2111 1986 04 649 1986 05 3012 1986 06 9215 1986 07 533 1986 08 529. 1986 09 867. 1986 10 6711 1986 11 953. 1986 12 5810 1987 01 656. 1987 02 905 1987 03 5311 1987 04 219 1987 05 3511 1987 06 5912. 1987 07 5916. 1987 08 414. 1987 09 9123. 1987 10 115 1987 11 7015. 1987 12 939 1988 01 529. 1988 02 666 1988 03 678 1988 04 314. 1988 05 627. 1988 06 3018. 1988 07 5720 1988 08 7011. 1988 09 915. 1988 10 923. 1988 11 724 1988 12 581. 1989 01 315 1989 02 784. 1989 03 685 1989 04 555 1989 05 38 1989 06 398. 1989 07 271. 1989 08 7412. 1989 09 515. 1989 10 506. 1989 11 561. 1989 12 529 1990 01 436 1990 02 1125 1990 03 8611. 1990 04 528. 1990 05 7517 1990 06 4816 1990 07 7312. 1990 08 639. 1990 09 6414 1990 10 114 1990 11 017 1990 12 9717. 1991 01 5618 1991 02 7510 1991 03 748. 1991 04 925 1991 05 1912 1991 06 419 1991 07 257 1991 08 114. 1991 10 475 1991 11 3520 1991 12 1013. 1992 01 4210 1992 02 608 1992 03 68. 1992 04 1213. 1992 05 978. 1992 06 123 1992 07 309. 1992 08 3610. 1992 09 1611 1992 10 412 1992 11 84. 1992 12 146. 1993 01 598. 1993 02 7310 1993 03 6515. 1993 04 420. 1993 05 1611 1993 06 1510 1993 07 5111. 1993 08 8611. 1993 09 02. 1993 10 132 1993 11 416 1993 12 678. 1994 01 474 1994 02 366. 1994 03 376. 1994 04 793. 1994 05 2210. 1994 06 7716. 1994 07 6216. 1994 08 797. 1994 09 1214 1994 10 565. 1994 11 692 1994 12 483. 1995 01 291 1995 02 163 1995 03 322. 1995 06 934. 1995 07 125 1995 08 284. 1995 09 511. 1995 10 450 1995 11 240. 1995 12 854. 1996 01 5310 1996 02 6116. 1996 03 5311 1996 04 611. 1996 05 8611. 1996 06 237 1996 07 118. 1996 08 364 1996 09 281 1996 10 377. 1996 11 362. 1996 12 432 1997 01 775 1997 02 3610. 1997 03 911. 1997 04 211 1997 05 615. 1997 06 756 1997 07 655. 1997 08 911. 1997 09 280. 1997 10 360 1997 11 690 1997 12 961 1998 01 544. 1998 02 266. 1998 03 424. 1998 04 56. 1998 05 409 1998 06 776 1998 07 483. 1998 08 124 1998 10 110. 1998 11 452. 1998 12 727
1999 01 847. 1999 02 765 1999 03 9912 1999 04 633 1999 06 553. 1999 07 46 1999 08 706. 1999 09 556 1999 10 474 1999 11 785 1999 12 191 2000 05 9110 2000 06 52 2000 07 247. 2000 08 5611. 2000 09 6210 2000 10 417. 2000 11 986 2000 12 1512. 2001 01 8411 2001 02 395 2001 03 7812. 2001 04 561 2001 05 972. 2001 07 332 2001 08 672. 2001 09 655 2001 10 697 2001 11 337 2001 12 934. 2002 01 505 2002 04 892. 2002 05 1210 2002 06 116. 2002 07 473 2002 08 733 2002 10 675. 2003 02 9810. 2003 03 1610 2003 05 642. 2003 06 2012. 2003 07 591 2004 02 4010. 2004 03 276. 2004 04 195. 2004 05 214 2004 06 312 2004 07 526. 2004 08 3515 2004 09 387 2004 10 223 2004 12 5610 2005 01 6611. 2005 02 9014 2005 03 7318. 2005 04 814. 2005 06 341 2005 07 786 2005 08 709 2005 09 914 2005 10 873. 2005 11 333 2006 03 221 2006 04 783 2006 05 965. 2006 06 66. 2006 07 635. 2006 09 582 2006 10 597 2006 11 785. 2006 12 545. 2007 01 725. 2007 02 998 2007 03 513 2007 04 793 2007 06 862 2007 07 626 2007 09 549 2007 10 4823 2007 11 915. 2007 12 211 2008 01 401 2008 02 969 2008 03 38. 2008 04 7316. 2008 05 8810 2008 06 834 2008 07 6315 2008 08 4010. 2008 09 17.
| Series Title: Employment level, Nonagriculture, unpaid family workers, Male, 20-24 yrs; (Thousands): NSA |
| 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 |
A 20,000% Gain in Real Estate
by Kevin Kingston.
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