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| Series Title: Employment level, Nonagriculture, unpaid family workers, Female, 65 yrs & over; (Thousands): NSA |
| For this series: Numerical Data | Forecast | GIF Chart | PDF Chart | Excel file | Self-updating Excel file |
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1976 06 812. Link to Series in Level 2 Subscription Site 1976 07 515. Link to Series in Level 1 Subscription Site 1976 08 7522. Link to Series in Level 0 Subscription Site 1976 09 9527. 1976 10 6916 1976 11 9919 1976 12 9215. 1977 01 8318. 1977 02 9010. 1977 03 8625 1977 04 423. 1977 05 6433. 1977 06 2117. 1977 07 4614. 1977 08 2314 1977 09 8116 1977 10 3812 1977 11 8716 1977 12 8812. 1978 01 313. 1978 02 4213. 1978 03 4014 1978 04 6116 1978 05 2622. 1978 06 5714. 1978 07 6118 1978 08 3119. 1978 09 6724. 1978 10 3422 1978 11 3322 1978 12 924. 1979 01 7120 1979 02 4821. 1979 03 6323 1979 04 3529. 1979 05 817. 1979 06 018 1979 07 8014. 1979 08 7016. 1979 09 7124. 1979 10 1625. 1979 11 4433. 1979 12 425. 1980 01 8014 1980 02 4514. 1980 03 348 1980 04 479. 1980 05 7916. 1980 06 6318. 1980 07 5818 1980 08 4013 1980 09 3615 1980 10 7115 1980 11 4720 1980 12 4418 1981 01 4613 1981 02 936 1981 03 5813 1981 04 4715. 1981 05 2819. 1981 06 8023. 1981 07 7216. 1981 08 6317 1981 09 2713. 1981 10 916. 1981 11 9713. 1981 12 2814 1982 01 117 1982 02 776. 1982 03 6415 1982 04 710 1982 05 7415. 1982 06 1316. 1982 07 2916 1982 08 8610 1982 09 3619 1982 10 6525. 1982 11 7420 1982 12 8017. 1983 01 4116. 1983 02 911. 1983 03 611. 1983 04 2517. 1983 05 5825. 1983 06 4611. 1983 07 5616 1983 08 8521. 1983 09 8119 1983 10 019. 1983 11 8118. 1983 12 4722 1984 01 2913 1984 02 2312. 1984 03 639 1984 04 2412. 1984 05 4610. 1984 06 909 1984 07 99. 1984 08 5516. 1984 09 211 1984 10 010 1984 11 4916 1984 12 212 1985 01 917 1985 02 806 1985 03 4112. 1985 04 5311 1985 05 3111. 1985 06 806 1985 07 662 1985 08 206. 1985 09 6810. 1985 10 7517 1985 11 316 1985 12 437 1986 01 6913 1986 02 6614. 1986 03 6715. 1986 04 838. 1986 05 309 1986 06 789 1986 07 323. 1986 08 298 1986 09 6914 1986 10 619 1986 11 68 1986 12 9411 1987 01 3018. 1987 02 9111 1987 03 9713. 1987 04 1512 1987 05 8411. 1987 06 6915. 1987 07 3610. 1987 08 556. 1987 09 224. 1987 10 196 1987 11 805. 1987 12 25 1988 01 665 1988 02 917 1988 03 1015 1988 04 697 1988 05 596. 1988 06 6316 1988 07 336 1988 08 943 1988 09 703. 1988 10 3312. 1988 11 817 1988 12 4010 1989 01 9411. 1989 02 279. 1989 03 912 1989 04 9512. 1989 05 4816 1989 06 9516 1989 07 19 1989 08 726 1989 09 7913. 1989 10 1415. 1989 11 637 1989 12 89. 1990 01 549. 1990 02 838. 1990 03 256 1990 04 669. 1990 05 686. 1990 06 2812. 1990 07 468 1990 08 3410 1990 09 4119. 1990 10 9819. 1990 11 621 1990 12 2610 1991 01 159 1991 02 719 1991 03 128. 1991 04 7919. 1991 05 6118 1991 06 4528. 1991 07 9614 1991 08 5613 1991 09 7214. 1991 10 4612 1991 11 1410 1991 12 448. 1992 01 679 1992 02 252 1992 03 4819 1992 04 5824. 1992 05 9221 1992 06 5711 1992 07 513 1992 08 348 1992 09 147 1992 10 437. 1992 11 166 1992 12 354 1993 01 297. 1993 02 717 1993 03 3913 1993 04 5011. 1993 05 5415. 1993 06 18 1993 07 5413. 1993 08 9111 1993 09 3511 1993 10 994 1993 11 689. 1993 12 974. 1994 01 4010. 1994 02 24. 1994 03 133. 1994 04 294. 1994 05 642. 1994 06 361 1994 07 452. 1994 08 773 1994 09 261. 1994 10 516. 1994 11 4710. 1994 12 524 1995 01 693. 1995 02 212 1995 03 243. 1995 04 934 1995 05 646. 1995 06 483. 1995 07 97. 1995 08 637. 1995 09 46 1995 10 586. 1995 11 596 1995 12 497. 1996 02 75. 1996 03 991. 1996 04 530. 1996 05 652 1996 06 204 1996 07 486 1996 08 10 1996 09 481. 1996 10 105. 1996 12 63 1997 01 325. 1997 02 611 1997 03 712 1997 04 977. 1997 05 45 1997 06 929. 1997 07 241
1997 08 201. 1997 09 953 1997 10 972. 1997 11 484 1997 12 904. 1998 01 658. 1998 02 408 1998 03 353 1998 04 973. 1998 05 812 1998 06 690 1998 07 74. 1998 08 704. 1998 09 518 1998 10 747 1998 11 356. 1998 12 639 1999 01 118 1999 02 7311 1999 03 178. 1999 04 534 1999 05 215 1999 06 62. 1999 07 751. 1999 08 456. 1999 09 653. 1999 10 394 1999 11 577. 1999 12 6612. 2000 01 536 2000 02 626 2000 03 357. 2000 04 717. 2000 05 204. 2000 06 935 2000 07 63 2000 08 383 2000 09 255. 2000 10 723. 2000 11 924 2000 12 704. 2001 01 535 2001 02 659. 2001 03 403. 2001 04 969. 2001 05 1510. 2001 06 625. 2001 07 248. 2001 08 704. 2001 09 457. 2001 10 814. 2001 11 396. 2001 12 693 2002 01 28. 2002 02 626. 2002 03 99 2002 04 989. 2002 05 717. 2002 06 718. 2002 08 815. 2002 09 852 2002 10 632. 2002 11 010 2002 12 267 2003 01 844 2003 02 124. 2003 03 632. 2003 04 433 2003 05 721 2003 06 777 2003 07 34 2003 08 533. 2003 09 547. 2003 10 4416. 2003 11 845. 2003 12 49 2004 01 581 2004 02 226. 2004 03 9910. 2004 04 681 2004 06 385 2004 07 452. 2004 08 632. 2004 09 423. 2004 10 722. 2004 11 754. 2004 12 184. 2005 01 486. 2005 02 6313. 2005 03 956 2005 04 285 2005 05 345. 2005 07 412. 2005 08 165. 2005 09 868. 2005 10 735. 2005 11 589 2005 12 714 2006 01 74. 2006 02 605. 2006 03 936. 2006 04 210. 2006 05 324 2006 06 194 2006 07 504 2006 08 512 2006 09 283. 2006 10 9710. 2006 11 574 2006 12 716 2007 01 854 2007 02 674. 2007 03 682 2007 04 143 2007 05 192 2007 06 246. 2007 07 613 2007 08 416. 2007 09 727. 2007 11 923. 2007 12 390. 2008 01 375 2008 02 97 2008 03 188 2008 04 328 2008 05 113. 2008 06 211. 2008 07 743. 2008 08 930 2008 09 983.
| Series Title: Employment level, Nonagriculture, unpaid family workers, Female, 65 yrs & over; (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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