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| Series Title: Employment level, Nonagriculture, government wage and salary workers, Female, 16-17 yrs; (Thousands): NSA |
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1976 06 1592 Link to Series in Level 2 Subscription Site 1976 07 4241. Link to Series in Level 1 Subscription Site 1976 08 25169 Link to Series in Level 0 Subscription Site 1976 09 647 1976 10 042. 1976 11 6066. 1976 12 4168 1977 01 3166. 1977 02 9574 1977 03 5885. 1977 04 271 1977 05 9866 1977 06 50109. 1977 07 80218. 1977 08 21167 1977 09 5261 1977 10 4265 1977 11 3266 1977 12 3570 1978 01 6190 1978 02 69102 1978 03 4798. 1978 04 897 1978 05 2087 1978 06 59123 1978 07 80226. 1978 08 26214. 1978 09 4885 1978 10 6096 1978 11 14104 1978 12 4104 1979 01 89100. 1979 02 4985 1979 03 5585 1979 04 7964 1979 05 1381 1979 06 25111 1979 07 35211 1979 08 13137 1979 09 1365 1979 10 1581. 1979 11 1096 1979 12 9684. 1980 01 882. 1980 02 6871 1980 03 6277 1980 04 3969 1980 05 4377 1980 06 61110 1980 07 97217 1980 08 81155 1980 09 8768 1980 10 9279. 1980 11 4881. 1980 12 8475 1981 01 3481. 1981 02 8992 1981 03 7191 1981 04 3676. 1981 05 378. 1981 06 1101. 1981 07 47187 1981 08 51129 1981 09 3839. 1981 10 359. 1981 11 8364 1981 12 6659. 1982 01 969 1982 02 9654 1982 03 1253 1982 04 4454 1982 05 954. 1982 06 552. 1982 07 88142 1982 08 73107 1982 09 5831 1982 10 8255 1982 11 9559. 1982 12 6563 1983 01 9961. 1983 02 059 1983 03 3942 1983 04 5948. 1983 05 343. 1983 06 6185. 1983 07 51175 1983 08 18136 1983 09 6351 1983 10 9057. 1983 11 8850. 1983 12 3037 1984 01 9735 1984 02 3736. 1984 03 3230. 1984 04 635 1984 05 5238. 1984 06 7868. 1984 07 89150. 1984 08 86102 1984 09 9468 1984 10 1262. 1984 11 9167 1984 12 3267 1985 01 2064. 1985 02 6755 1985 03 9446 1985 04 3233 1985 05 4737. 1985 06 9175 1985 07 81154 1985 08 9998 1985 09 2052. 1985 10 6060 1985 11 5843 1985 12 7153 1986 01 851. 1986 02 7547. 1986 03 5652. 1986 04 1142. 1986 05 629 1986 06 6166. 1986 07 32153 1986 08 6103 1986 09 3141. 1986 10 6959. 1986 11 6846 1986 12 7051 1987 01 3044. 1987 02 7336. 1987 03 7147. 1987 04 4051 1987 05 6931 1987 06 7568. 1987 07 72125 1987 08 79115 1987 09 4533 1987 10 9939 1987 11 2748 1987 12 7548. 1988 01 7646 1988 02 9646. 1988 03 1935 1988 04 4251. 1988 05 528 1988 06 4170 1988 07 53119 1988 08 1690. 1988 09 329 1988 10 3539 1988 11 6346. 1988 12 6246 1989 01 6342 1989 02 437. 1989 03 438 1989 04 6640 1989 05 528 1989 06 9770 1989 07 57114. 1989 08 4189. 1989 09 7229 1989 10 9038. 1989 11 3038 1989 12 2636. 1990 01 3426 1990 02 8334. 1990 03 5533 1990 04 8440. 1990 05 8548. 1990 06 282. 1990 07 87123 1990 08 261 1990 09 4428. 1990 10 9637. 1990 11 836 1990 12 9343. 1991 01 5535 1991 02 4344 1991 03 2637 1991 04 9525. 1991 05 8735 1991 06 4172. 1991 07 72116 1991 08 7171. 1991 09 3531. 1991 10 1748 1991 11 240 1991 12 932 1992 01 1736 1992 02 2041 1992 03 9838. 1992 04 2142. 1992 05 7934 1992 06 2670. 1992 07 66132. 1992 08 46124. 1992 09 8843 1992 10 3644 1992 11 3948 1992 12 4738. 1993 01 3928. 1993 02 7533. 1993 03 7315 1993 04 1131 1993 05 5151 1993 06 9361 1993 07 50136 1993 08 5297 1993 09 6941 1993 10 6535 1993 11 7640 1993 12 640. 1994 01 6140. 1994 02 9346 1994 03 8347 1994 04 3842. 1994 05 2147. 1994 06 164. 1994 07 27118. 1994 08 3596 1994 09 7026 1994 10 3938 1994 11 9043. 1994 12 949. 1995 01 5047. 1995 02 8454 1995 03 7953. 1995 04 9930. 1995 05 3136 1995 06 3664. 1995 07 2689 1995 08 6855. 1995 09 737. 1995 10 1931.
A 20,000% Gain in Real Estate
by Kevin Kingston.
1995 11 2235 1995 12 5842 1996 01 4235. 1996 02 5938 1996 03 6535. 1996 04 523 1996 05 5118 1996 06 6863 1996 07 97100. 1996 08 7774 1996 09 7840 1996 10 6932. 1996 11 456 1996 12 3945. 1997 01 6848 1997 02 9047. 1997 03 9645 1997 04 8343. 1997 05 9534. 1997 06 8687. 1997 07 7137. 1997 08 25102 1997 09 5647 1997 10 3455. 1997 11 9847 1997 12 552. 1998 01 7237. 1998 02 3836. 1998 03 5232. 1998 04 9040. 1998 05 9242. 1998 06 2760. 1998 07 80108 1998 08 7185 1998 09 8728. 1998 10 5348 1998 11 1747 1998 12 6346. 1999 01 5541. 1999 02 9748 1999 03 2256. 1999 04 862 1999 05 1834 1999 06 6057 1999 07 80115. 1999 08 7294. 1999 09 2340. 1999 10 7253. 1999 11 048. 1999 12 4637 2000 01 4357 2000 02 8642 2000 03 1840 2000 04 4544 2000 05 7547. 2000 06 8177. 2000 07 9489 2000 08 1168. 2000 09 4055. 2000 10 6054. 2000 11 1141 2000 12 1050. 2001 01 8731 2001 02 5231 2001 03 8139 2001 04 3328. 2001 05 8824 2001 06 1057. 2001 07 37101 2001 08 9666 2001 09 3960. 2001 10 1257 2001 11 3935. 2001 12 3939 2002 01 6442 2002 02 6342 2002 03 7348 2002 04 2933. 2002 05 931 2002 06 9159. 2002 07 4797. 2002 08 5798 2002 09 4655. 2002 10 4853 2002 11 9739. 2002 12 3936 2003 01 7442. 2003 02 1545 2003 03 8338 2003 04 1628 2003 05 1318. 2003 06 9468. 2003 07 88107 2003 08 5476 2003 09 1331 2003 10 1329 2003 11 2432 2003 12 4442. 2004 01 4332 2004 02 2738 2004 03 2447 2004 04 235. 2004 05 327 2004 06 1453 2004 07 4990. 2004 08 6864 2004 09 1435 2004 10 7739 2004 11 8348 2004 12 1038 2005 01 2450 2005 02 4539. 2005 03 3725. 2005 04 1830. 2005 05 435. 2005 06 7247. 2005 07 4493. 2005 08 869. 2005 09 5333 2005 10 3532. 2005 11 6430. 2005 12 2027 2006 01 9239 2006 02 3830 2006 03 8322. 2006 04 2246. 2006 05 6842 2006 06 1146 2006 07 1074. 2006 08 457 2006 09 5429. 2006 10 641. 2006 11 8052 2006 12 8240 2007 01 4742. 2007 02 232 2007 03 5234. 2007 04 9739 2007 05 7053. 2007 06 386. 2007 07 1291 2007 08 1560. 2007 09 6934 2007 10 3632 2007 11 6948 2007 12 2755. 2008 01 1845 2008 02 5650. 2008 03 5747 2008 04 4922 2008 05 1237 2008 06 4161. 2008 07 38102. 2008 08 2358. 2008 09 7535 2008 10 9532
| Series Title: Employment level, Nonagriculture, government wage and salary workers, Female, 16-17 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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