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| Series Title: Employment level, Agriculture and related industries, unpaid family workers, 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 2450 Link to Series in Level 2 Subscription Site 1976 07 7447 Link to Series in Level 1 Subscription Site 1976 08 1539. Link to Series in Level 0 Subscription Site 1976 09 3532 1976 10 4924 1976 11 7321. 1976 12 2719. 1977 01 5919 1977 02 9619 1977 03 2716 1977 04 9722. 1977 05 3837. 1977 06 1758 1977 07 1733. 1977 08 3738 1977 09 1625. 1977 10 8610 1977 11 5122 1977 12 8520. 1978 01 6221. 1978 02 311. 1978 03 5816. 1978 04 422. 1978 05 7031 1978 06 9554 1978 07 9854. 1978 08 8138 1978 09 6027 1978 10 1125 1978 11 5020 1978 12 3021. 1979 01 7623 1979 02 2816 1979 03 2122. 1979 04 8927. 1979 05 8644 1979 06 4448. 1979 07 4452 1979 08 2047. 1979 09 8623 1979 10 8727 1979 11 7433. 1979 12 1124. 1980 01 9321 1980 02 521. 1980 03 9525 1980 04 7527. 1980 05 5331 1980 06 7541 1980 07 1139 1980 08 5135 1980 09 3328 1980 10 9736. 1980 11 5530 1980 12 019. 1981 01 3018 1981 02 9626 1981 03 8322 1981 04 1230. 1981 05 6127 1981 06 2237. 1981 07 7834 1981 08 9838 1981 09 7027 1981 10 5232 1981 11 4525. 1981 12 9625. 1982 01 2832. 1982 02 8533. 1982 03 1627 1982 04 7022 1982 05 2722. 1982 06 4734 1982 07 4945. 1982 08 837 1982 09 8846. 1982 10 8927 1982 11 2420. 1982 12 2224. 1983 01 5422. 1983 02 8515. 1983 03 4828
A 20,000% Gain in Real Estate
by Kevin Kingston.
1983 04 7732. 1983 05 5734. 1983 06 3045 1983 07 5351 1983 08 3436. 1983 09 7228. 1983 10 1730 1983 11 6520. 1983 12 6426. 1984 01 6423 1984 02 6913. 1984 03 3611. 1984 04 8313 1984 05 3028 1984 06 6435. 1984 07 2743 1984 08 3031 1984 09 9320. 1984 10 610. 1984 11 2315. 1984 12 7315 1985 01 9915 1985 02 2320. 1985 03 3323 1985 04 222 1985 05 2222. 1985 06 6833 1985 07 9328. 1985 08 3431. 1985 09 5825. 1985 10 2119 1985 11 6115 1985 12 913 1986 01 298. 1986 02 848 1986 03 237. 1986 04 9315 1986 05 8414 1986 06 8716 1986 07 8822. 1986 08 7827. 1986 09 9315 1986 10 8317 1986 11 9118. 1986 12 799 1987 01 5613 1987 02 499. 1987 03 9312 1987 04 376 1987 05 9216 1987 06 9120 1987 07 7715 1987 08 1926 1987 09 5110 1987 10 365. 1987 11 5312. 1987 12 156. 1988 01 43 1988 02 374 1988 03 5713. 1988 04 4215. 1988 05 4813. 1988 06 7413. 1988 07 4813. 1988 08 4019. 1988 09 69. 1988 10 5011. 1988 11 107. 1988 12 7510. 1989 01 2610 1989 02 9310. 1989 03 5416. 1989 04 408. 1989 05 783 1989 06 5719. 1989 07 1411. 1989 08 4819 1989 09 618. 1989 10 2112 1989 11 519. 1989 12 4215. 1990 01 975. 1990 02 8711 1990 03 483. 1990 04 883 1990 05 337. 1990 06 857 1990 07 1514 1990 08 7615. 1990 09 412 1990 10 6811. 1990 11 897. 1990 12 238. 1991 01 198. 1991 02 148 1991 03 279. 1991 04 705. 1991 05 898. 1991 06 2715 1991 07 1516 1991 08 8213. 1991 09 9810 1991 10 369 1991 11 638 1991 12 503 1992 01 183. 1992 02 948 1992 03 58 1992 04 926 1992 05 477. 1992 06 7916. 1992 07 110. 1992 08 4714. 1992 09 714 1992 10 9510 1992 11 3620. 1992 12 812 1993 01 457. 1993 02 718 1993 03 2010. 1993 04 877. 1993 05 3313 1993 06 6013 1993 07 8811 1993 08 7918. 1993 09 704. 1993 10 403. 1993 11 985. 1993 12 982 1994 01 7615 1994 02 169 1994 03 373. 1994 04 126. 1994 05 011 1994 06 159. 1994 07 149. 1994 08 1013 1994 09 138 1994 10 914 1994 11 637 1994 12 94. 1995 01 136 1995 02 233 1995 03 447. 1995 04 507. 1995 05 228. 1995 06 143. 1995 07 429 1995 08 9811. 1995 09 874 1995 10 934. 1995 11 683. 1995 12 465. 1996 01 818. 1996 02 136 1996 03 557 1996 04 84 1996 05 12 1996 06 524 1996 07 6315 1996 08 268. 1996 09 6811. 1996 10 150. 1996 11 775. 1996 12 668 1997 01 326. 1997 03 307 1997 04 710. 1997 05 185. 1997 06 633. 1997 07 506 1997 08 886. 1997 09 07 1997 10 5811. 1997 11 534. 1997 12 806 1998 01 523. 1998 04 421. 1998 05 445. 1998 06 669 1998 07 398. 1998 08 596 1998 09 515 1998 10 585. 1998 11 5316 1998 12 839 1999 01 276. 1999 02 894. 1999 03 112 1999 04 112 1999 05 513 1999 06 202 1999 07 526. 1999 08 665 1999 09 266. 1999 10 354 1999 11 438. 1999 12 944 2000 01 819 2000 02 4412. 2000 03 767 2000 04 686. 2000 05 706 2000 06 827. 2000 07 653 2000 08 844 2000 09 705. 2000 10 83. 2000 11 526. 2000 12 676 2001 01 866 2001 02 86 2001 03 46. 2001 04 6114. 2001 05 4612. 2001 06 907 2001 09 101 2001 10 412 2001 11 33. 2001 12 917. 2002 01 8812. 2002 03 22. 2002 04 362. 2002 05 6910 2002 06 774 2002 07 682. 2002 08 491. 2002 09 101. 2002 10 450. 2003 01 864. 2003 02 694 2003 03 235. 2003 04 823. 2003 05 280. 2003 06 518. 2003 07 426 2003 08 41. 2003 09 900. 2003 10 733 2003 11 293. 2003 12 523. 2004 02 975. 2004 04 393. 2004 05 676 2004 06 929 2004 07 941. 2004 08 776. 2004 09 6610. 2004 10 168. 2004 11 535 2004 12 407. 2005 01 610. 2005 03 386 2005 04 734 2005 05 74. 2005 06 1110. 2005 07 112. 2005 08 762. 2005 09 824. 2005 10 38. 2005 11 708. 2005 12 84. 2006 01 934 2006 02 4411 2006 03 374. 2006 04 436. 2006 05 943. 2006 06 7111. 2006 07 167 2006 08 774. 2006 09 636. 2006 10 422 2006 11 508 2007 02 323. 2007 03 37. 2007 04 436 2007 05 44. 2007 06 567. 2007 07 4410. 2007 08 831 2007 11 702. 2008 04 214 2008 05 381 2008 06 9811. 2008 07 631 2008 08 254. 2008 09 654.
| Series Title: Employment level, Agriculture and related industries, unpaid family workers, 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 |
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