公布几组数据供大家参考(Sg就业收入报告94~05)

此地无银 · 发表于 3-9-2005 10:11:37|来自：新加坡

<TABLE width="100%">

<TR>
<TD>
JOB VACANCY</TD>
<TD align=right>Last Updated : 15 June 2005</TD></TR></TABLE>
<TABLE cellSpacing=2 cellPadding=2 width="100%" border=0>

<TR bgColor=#eeeeee>
<TD bgColor=#eeeeee colSpan=2></TD>
<TD align=middle width=34>1994</TD>
<TD align=middle width=34>1995</TD>
<TD align=middle width=34>1996</TD>
<TD align=middle width=34>1997</TD>
<TD align=middle width=34>1998</TD>
<TD align=middle width=34>1999</TD>
<TD class="" width=34>2000</TD>
<TD align=middle width=48>2001</TD>
<TD align=middle width=46>2002</TD>
<TD align=middle width=46>2003</TD>
<TD align=middle width=46>2004</TD>
<TD class="" align=middle width=46 re_3_="undefined">2005</TD></TR>
<TR bgColor=#f7f7f7>
<TD width=215 bgColor=#eff3f7 colSpan=2>Job Vacancy ('000)</TD>
<TD width=34></TD>
<TD width=34></TD>
<TD width=34></TD>
<TD width=34></TD>
<TD width=34></TD>
<TD width=34></TD>
<TD class="" width=34></TD>
<TD width=48></TD>
<TD width=46></TD>
<TD width=46></TD>
<TD width=46></TD>
<TD class="" width=46 re_3_="undefined"></TD></TR>
<TR bgColor=#f7f3ea>
<TD width=21 bgColor=#eff3f7></TD>
<TD width=188 bgColor=#eff3f7>Annual Average</TD>
<TD width=34>43.7</TD>
<TD width=34>46.2</TD>
<TD width=34>44.2</TD>
<TD width=34>42.1</TD>
<TD width=34>18.3</TD>
<TD width=34>20.8</TD>
<TD class="" width=34>27.6</TD>
<TD width=48>15.9</TD>
<TD width=46>15.1</TD>
<TD width=46>12.6</TD>
<TD width=46>16.5</TD>
<TD class="" width=46 re_3_="undefined">n.a.</TD></TR>
<TR bgColor=#f7f7f7>
<TD width=21 bgColor=#eff3f7></TD>
<TD width=188 bgColor=#eff3f7>As at Mar</TD>
<TD width=34>44.0</TD>
<TD width=34>47.8</TD>
<TD width=34>48.6</TD>
<TD width=34>46.9</TD>
<TD width=34>26.1</TD>
<TD width=34>16.8</TD>
<TD class="" width=34>26.2</TD>
<TD width=48>19.8</TD>
<TD width=46>13.9</TD>
<TD width=46>12.1</TD>
<TD width=46>15.4</TD>
<TD class="" width=46 re_3_="undefined">17.5</TD></TR>
<TR bgColor=#f7f3ea>
<TD width=21 bgColor=#eff3f7></TD>
<TD width=188 bgColor=#eff3f7>As at Jun</TD>
<TD width=34>44.3</TD>
<TD width=34>48.4</TD>
<TD width=34>46.7</TD>
<TD width=34>44.7</TD>
<TD width=34>19.1</TD>
<TD width=34>19.3</TD>
<TD class="" width=34>29.8</TD>
<TD width=48>17.3</TD>
<TD width=46>16.1</TD>
<TD width=46>12.0</TD>
<TD width=46>15.4</TD>
<TD class="" width=46 re_3_="undefined">n.a.</TD></TR>
<TR bgColor=#f7f7f7>
<TD width=21 bgColor=#eff3f7></TD>
<TD width=188 bgColor=#eff3f7>As at Sep</TD>
<TD width=34>46.5</TD>
<TD width=34>47.8</TD>
<TD width=34>44.3</TD>
<TD width=34>44.6</TD>
<TD width=34>15.5</TD>
<TD width=34>25.1</TD>
<TD class="" width=34>32.4</TD>
<TD width=48>14.1</TD>
<TD width=46>17.2</TD>
<TD width=46>13.1</TD>
<TD width=46>18.9</TD>
<TD class="" width=46 re_3_="undefined">n.a.</TD></TR>
<TR bgColor=#f7f3ea>
<TD width=21 bgColor=#eff3f7></TD>
<TD width=188 bgColor=#eff3f7>As at Dec</TD>
<TD width=34>40.0</TD>
<TD width=34>40.7</TD>
<TD width=34>37.3</TD>
<TD width=34>32.0</TD>
<TD width=34>12.6</TD>
<TD width=34>22.0</TD>
<TD class="" width=34>22.1</TD>
<TD width=48>12.5</TD>
<TD width=46>12.9</TD>
<TD width=46>13.1</TD>
<TD width=46>16.2</TD>
<TD class="" width=46 re_3_="undefined">n.a.</TD></TR>
<TR bgColor=#f7f7f7>
<TD width=215 bgColor=#eff3f7 colSpan=2>Job Vacancy Rate (%)</TD>
<TD width=34></TD>
<TD width=34></TD>
<TD width=34></TD>
<TD width=34></TD>
<TD width=34></TD>
<TD width=34></TD>
<TD width=48></TD>
<TD width=48></TD>
<TD width=46></TD>
<TD width=46></TD>
<TD width=46></TD>
<TD class="" width=46 re_3_="undefined"></TD></TR>
<TR bgColor=#f7f3ea>
<TD width=215 bgColor=#eff3f7 colSpan=2>Annual Average</TD>
<TD width=34>5.2</TD>
<TD width=34>5.2</TD>
<TD width=34>4.8</TD>
<TD width=34>4.4</TD>
<TD width=34>1.9</TD>
<TD width=34>2.2</TD>
<TD class="" width=34>2.8</TD>
<TD width=48>1.5</TD>
<TD width=46>1.5 </TD>
<TD width=46>1.2</TD>
<TD width=46>1.6</TD>
<TD class="" width=46 re_3_="undefined">n.a.</TD></TR>
<TR bgColor=#f7f7f7>
<TD width=21 bgColor=#eff3f7></TD>
<TD width=188 bgColor=#eff3f7>As at Mar</TD>
<TD width=34>5.4</TD>
<TD width=34>5.5</TD>
<TD width=34>5.3</TD>
<TD width=34>5.0</TD>
<TD width=34>2.7</TD>
<TD width=34>1.8</TD>
<TD class="" width=34>2.7</TD>
<TD width=48>1.9</TD>
<TD width=46>1.4</TD>
<TD width=46>1.2</TD>
<TD width=46>1.5</TD>
<TD class="" width=46 re_3_="undefined">1.6</TD></TR>
<TR bgColor=#f7f3ea>
<TD width=21 bgColor=#eff3f7></TD>
<TD width=188 bgColor=#eff3f7>As at Jun</TD>
<TD width=34>5.4</TD>
<TD width=34>5.6</TD>
<TD width=34>5.1</TD>
<TD width=34>4.7</TD>
<TD width=34>2.0</TD>
<TD width=34>2.0</TD>
<TD class="" width=34>3.0</TD>
<TD width=48>1.7</TD>
<TD width=46>1.6</TD>
<TD width=46>1.2</TD>
<TD width=46>1.5</TD>
<TD class="" width=46 re_3_="undefined">n.a.</TD></TR>
<TR bgColor=#f7f7f7>
<TD width=21 bgColor=#eff3f7></TD>
<TD width=188 bgColor=#eff3f7>As at Sep</TD>
<TD width=34>5.4</TD>
<TD width=34>5.2</TD>
<TD width=34>4.6</TD>
<TD width=34>4.4</TD>
<TD width=34>1.5</TD>
<TD width=34>2.5</TD>
<TD class="" width=34>3.1</TD>
<TD width=48>1.3</TD>
<TD width=46>1.6</TD>
<TD width=46>1.3</TD>
<TD width=46>1.7</TD>
<TD class="" width=46 re_3_="undefined">n.a.</TD></TR>
<TR bgColor=#f7f3ea>
<TD width=21 bgColor=#eff3f7></TD>
<TD width=188 bgColor=#eff3f7>As at Dec</TD>
<TD width=34>4.6</TD>
<TD width=34>4.4</TD>
<TD width=34>4.1</TD>
<TD width=34>3.3</TD>
<TD width=34>1.3</TD>
<TD width=34>2.3</TD>
<TD class="" width=34>2.2</TD>
<TD width=48>1.2</TD>
<TD width=46>1.2</TD>
<TD width=46>1.3</TD>
<TD width=46>1.5</TD>
<TD class="" width=46 re_3_="undefined">n.a.</TD></TR>
<TR bgColor=#f7f7f7>
<TD width=215 bgColor=#eff3f7 colSpan=2>Job Vacancy to Unemployed Person Ratio </TD>
<TD width=34></TD>
<TD width=34></TD>
<TD width=34></TD>
<TD width=34></TD>
<TD width=34></TD>
<TD width=34></TD>
<TD class="" width=34></TD>
<TD width=48></TD>
<TD width=46></TD>
<TD width=46></TD>
<TD width=46></TD>
<TD class="" width=46 re_3_="undefined"></TD></TR>
<TR bgColor=#f7f7f7>
<TD width=215 bgColor=#eff3f7 colSpan=2>Seasonally Adjusted</TD>
<TD width=34></TD>
<TD width=34></TD>
<TD width=34></TD>
<TD width=34></TD>
<TD width=34></TD>
<TD width=34></TD>
<TD class="" width=34></TD>
<TD width=48></TD>
<TD width=46></TD>
<TD width=46></TD>
<TD width=46></TD>
<TD class="" width=46 re_3_="undefined"></TD></TR>
<TR bgColor=#f7f3ea>
<TD width=21 bgColor=#eff3f7></TD>
<TD width=188 bgColor=#eff3f7>As at Mar</TD>
<TD width=34>2.33</TD>
<TD width=34>2.37</TD>
<TD width=34>2.16</TD>
<TD width=34>2.60</TD>
<TD width=34>1.13</TD>
<TD width=34>0.41</TD>
<TD class="" width=34>0.73</TD>
<TD width=48>0.74</TD>
<TD width=46>0.30</TD>
<TD width=46>0.25</TD>
<TD width=46>0.29</TD>
<TD class="" width=46 re_3_="undefined">0.36P</TD></TR>
<TR bgColor=#f7f7f7>
<TD width=21 bgColor=#eff3f7></TD>
<TD width=188 bgColor=#eff3f7>As at Jun</TD>
<TD width=34>2.48</TD>
<TD width=34>2.50</TD>
<TD width=34>2.11</TD>
<TD width=34>2.39</TD>
<TD width=34>0.74</TD>
<TD width=34>0.49</TD>
<TD class="" width=34>0.71 </TD>
<TD width=48>0.55</TD>
<TD width=46>0.35</TD>
<TD width=46>0.24</TD>
<TD width=46>0.30</TD>
<TD class="" width=46 re_3_="undefined">n.a.</TD></TR>
<TR bgColor=#f7f3ea>
<TD width=21 bgColor=#eff3f7></TD>
<TD width=188 bgColor=#eff3f7>As at Sep</TD>
<TD width=34>2.48</TD>
<TD width=34>2.65</TD>
<TD width=34>2.48</TD>
<TD width=34>2.52</TD>
<TD width=34>0.34</TD>
<TD width=34>0.64</TD>
<TD class="" width=34>1.15</TD>
<TD width=48>0.32</TD>
<TD width=46>0.33 </TD>
<TD width=46>0.19</TD>
<TD width=46>0.41</TD>
<TD class="" width=46 re_3_="undefined">n.a.</TD></TR>
<TR bgColor=#f7f7f7>
<TD width=21 bgColor=#eff3f7></TD>
<TD width=188 bgColor=#eff3f7>As at Dec</TD>
<TD width=34>2.27</TD>
<TD width=34>2.34</TD>
<TD width=34>2.39</TD>
<TD width=34>1.87</TD>
<TD width=34>0.32</TD>
<TD width=34>0.82</TD>
<TD class="" width=34>0.82</TD>
<TD width=48>0.28</TD>
<TD width=46>0.29</TD>
<TD width=46>0.28</TD>
<TD width=46>0.41</TD>
<TD class="" width=46 re_3_="undefined">n.a.</TD></TR></TABLE>
<TABLE width="100%">

<TR>
<TD align=right>Source : Labour Market Survey </TD></TR></TABLE>
第一部分在职业空缺上可以看到98金融风暴对新加坡就业市场的打击有多么的大...97之前始终保持100个职位有4-5个空缺, 98~2005只剩下不到2个职位....
就业空缺缩小意味着更难找到新工作和老板对员工将更加挑剔...值得注意的是, 98之后新加坡就业市场的结构性调整, 实际情况是某些行业空缺加大,某些行业空缺紧缩....

[此贴子已经被作者于2005-9-3 11:49:03编辑过]

此地无银 · 发表于 3-9-2005 10:13:10|来自：新加坡

<TABLE width="100%">

<TR>
<TD>
UNEMPLOYMENTR</TD>
<TD align=right>Last Updated : 08 Aug 2005</TD></TR></TABLE>
<TABLE cellSpacing=2 cellPadding=2 width="100%" border=0>

<TR bgColor=#eeeeee>
<TD colSpan=2></TD>
<TD align=middle rE_3_="undefined">1992</TD>
<TD align=middle rE_3_="undefined">1993</TD>
<TD align=middle>1994</TD>
<TD align=middle>1995</TD>
<TD align=middle>1996</TD>
<TD align=middle>1997</TD>
<TD align=middle>1998</TD>
<TD align=middle>1999</TD>
<TD align=middle>2000</TD>
<TD align=middle>2001</TD>
<TD align=middle>2002</TD>
<TD align=middle>2003</TD>
<TD align=middle>2004</TD>
<TD align=middle re_3_="undefined">2005</TD></TR>
<TR bgColor=#f7f7f7>
<TD bgColor=#eff3f7 colSpan=2>Unemployment Rate (%)</TD>
<TD rE_3_="undefined"></TD>
<TD rE_3_="undefined"></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD re_3_="undefined"></TD></TR>
<TR bgColor=#f7f3ea>
<TD bgColor=#eff3f7></TD>
<TD bgColor=#eff3f7>Annual Average</TD>
<TD rE_3_="undefined">1.8 </TD>
<TD rE_3_="undefined">1.7</TD>
<TD>1.7</TD>
<TD>1.8</TD>
<TD>1.7</TD>
<TD>1.4</TD>
<TD>2.5</TD>
<TD>2.8</TD>
<TD>2.7</TD>
<TD>2.7</TD>
<TD>3.6</TD>
<TD>4.0</TD>
<TD>3.4</TD>
<TD re_3_="undefined">n.a.</TD></TR>
<TR bgColor=#f7f7f7>
<TD bgColor=#eff3f7></TD>
<TD bgColor=#eff3f7>Seasonally Adjusted as at</TD>
<TD rE_3_="undefined"></TD>
<TD rE_3_="undefined"></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD re_3_="undefined"></TD></TR>
<TR bgColor=#f7f3ea>
<TD bgColor=#eff3f7></TD>
<TD bgColor=#eff3f7>Mar</TD>
<TD rE_3_="undefined">1.8</TD>
<TD rE_3_="undefined">1.5</TD>
<TD>1.7</TD>
<TD>1.7</TD>
<TD>1.8</TD>
<TD>1.4</TD>
<TD>1.7</TD>
<TD>3.1</TD>
<TD>2.8</TD>
<TD>1.9</TD>
<TD>3.6</TD>
<TD>3.7</TD>
<TD>3.8</TD>
<TD re_3_="undefined">3.3</TD></TR>
<TR bgColor=#f7f7f7>
<TD bgColor=#eff3f7></TD>
<TD bgColor=#eff3f7>Jun</TD>
<TD rE_3_="undefined">1.8</TD>
<TD rE_3_="undefined">1.8</TD>
<TD>1.7</TD>
<TD>1.9</TD>
<TD>1.8</TD>
<TD>1.5</TD>
<TD>2.0</TD>
<TD>2.9</TD>
<TD>3.6</TD>
<TD>2.2</TD>
<TD>3.4</TD>
<TD>3.7</TD>
<TD>3.6</TD>
<TD re_3_="undefined">3.4P</TD></TR>
<TR bgColor=#f7f3ea>
<TD bgColor=#eff3f7></TD>
<TD bgColor=#eff3f7>Sep</TD>
<TD rE_3_="undefined">2.0</TD>
<TD rE_3_="undefined">1.8</TD>
<TD>1.7</TD>
<TD>1.5</TD>
<TD>1.4</TD>
<TD>1.3</TD>
<TD>3.0</TD>
<TD>2.8</TD>
<TD>1.9</TD>
<TD>2.8</TD>
<TD>3.6</TD>
<TD>4.8</TD>
<TD>3.0</TD>
<TD re_3_="undefined">n.a.</TD></TR>
<TR bgColor=#f7f7f7>
<TD bgColor=#eff3f7></TD>
<TD bgColor=#eff3f7>Dec</TD>
<TD rE_3_="undefined">1.6</TD>
<TD rE_3_="undefined">1.6</TD>
<TD>1.9</TD>
<TD>1.7</TD>
<TD>1.5</TD>
<TD>1.5</TD>
<TD>3.3</TD>
<TD>2.4</TD>
<TD>2.2</TD>
<TD>
3.6</TD>
<TD>3.6</TD>
<TD>3.8</TD>
<TD>3.0</TD>
<TD re_3_="undefined">n.a.</TD></TR>
<TR bgColor=#f7f7f7>
<TD bgColor=#eff3f7 colSpan=2>Resident Unemployment Rate (%)</TD>
<TD rE_3_="undefined"></TD>
<TD rE_3_="undefined"></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD re_3_="undefined"></TD></TR>
<TR bgColor=#f7f3ea>
<TD bgColor=#eff3f7></TD>
<TD bgColor=#eff3f7>Annual Average</TD>
<TD rE_3_="undefined">2.2</TD>
<TD rE_3_="undefined">2.1</TD>
<TD>2.2</TD>
<TD>2.2</TD>
<TD>2.2</TD>
<TD>2.0</TD>
<TD>3.5</TD>
<TD>3.8</TD>
<TD>3.7</TD>
<TD>3.7</TD>
<TD>4.8</TD>
<TD>5.2</TD>
<TD>4.4</TD>
<TD re_3_="undefined">n.a.</TD></TR>
<TR bgColor=#f7f7f7>
<TD bgColor=#eff3f7></TD>
<TD bgColor=#eff3f7>Seasonally Adjusted as at</TD>
<TD rE_3_="undefined"></TD>
<TD rE_3_="undefined"></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD re_3_="undefined"></TD></TR>
<TR bgColor=#f7f3ea>
<TD bgColor=#eff3f7></TD>
<TD bgColor=#eff3f7>Mar</TD>
<TD rE_3_="undefined">2.2</TD>
<TD rE_3_="undefined">1.9</TD>
<TD>2.2</TD>
<TD>2.2</TD>
<TD>2.3</TD>
<TD>1.9</TD>
<TD>2.4</TD>
<TD>4.2</TD>
<TD>3.9</TD>
<TD>2.6</TD>
<TD>5.0</TD>
<TD>5.0</TD>
<TD>5.1</TD>
<TD re_3_="undefined">4.4</TD></TR>
<TR bgColor=#f7f7f7>
<TD bgColor=#eff3f7></TD>
<TD bgColor=#eff3f7>Jun</TD>
<TD rE_3_="undefined">2.1</TD>
<TD rE_3_="undefined">2.1</TD>
<TD>2.0</TD>
<TD>2.4</TD>
<TD>2.3</TD>
<TD>1.9</TD>
<TD>2.7</TD>
<TD>3.9</TD>
<TD>4.9</TD>
<TD>3.1</TD>
<TD>4.6</TD>
<TD>4.8</TD>
<TD>4.7</TD>
<TD re_3_="undefined">4.5P</TD></TR>
<TR bgColor=#f7f3ea>
<TD bgColor=#eff3f7></TD>
<TD bgColor=#eff3f7>Sep</TD>
<TD rE_3_="undefined">2.4</TD>
<TD rE_3_="undefined">2.2</TD>
<TD>2.1</TD>
<TD>1.9</TD>
<TD>1.9</TD>
<TD>1.8</TD>
<TD>4.2</TD>
<TD>3.8</TD>
<TD>2.6</TD>
<TD>3.9</TD>
<TD>4.9</TD>
<TD>6.3</TD>
<TD>4.0</TD>
<TD re_3_="undefined">n.a.</TD></TR>
<TR bgColor=#f7f7f7>
<TD bgColor=#eff3f7></TD>
<TD bgColor=#eff3f7>Dec</TD>
<TD rE_3_="undefined">2.0</TD>
<TD rE_3_="undefined">2.0</TD>
<TD>2.3</TD>
<TD>2.2</TD>
<TD>2.0</TD>
<TD>2.1</TD>
<TD>4.6</TD>
<TD>3.2</TD>
<TD>3.0</TD>
<TD>5.1</TD>
<TD>
4.8</TD>
<TD>5.0</TD>
<TD>4.0</TD>
<TD re_3_="undefined">n.a.</TD></TR>
<TR bgColor=#f7f7f7>
<TD bgColor=#eff3f7 colSpan=2>Resident Unemployed Persons ('000)</TD>
<TD rE_3_="undefined"></TD>
<TD rE_3_="undefined"></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD re_3_="undefined"></TD></TR>
<TR bgColor=#f7f3ea>
<TD bgColor=#eff3f7></TD>
<TD bgColor=#eff3f7>Annual Average</TD>
<TD rE_3_="undefined">30.4</TD>
<TD rE_3_="undefined">29.4</TD>
<TD>31.2</TD>
<TD>32.5</TD>
<TD>33.0</TD>
<TD>30.4</TD>
<TD>54.4</TD>
<TD>60.8</TD>
<TD>59.4</TD>
<TD>62.0</TD>
<TD>81.0</TD>
<TD>91.2</TD>
<TD>78.4</TD>
<TD re_3_="undefined">n.a.</TD></TR>
<TR bgColor=#f7f7f7>
<TD bgColor=#eff3f7></TD>
<TD bgColor=#eff3f7>Seasonally Adjusted as at</TD>
<TD rE_3_="undefined"></TD>
<TD rE_3_="undefined"></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD></TD>
<TD re_3_="undefined"></TD></TR>
<TR bgColor=#f7f3ea>
<TD bgColor=#eff3f7></TD>
<TD bgColor=#eff3f7>Mar</TD>
<TD rE_3_="undefined">31.3</TD>
<TD rE_3_="undefined">26.6</TD>
<TD>31.0</TD>
<TD>32.3</TD>
<TD>35.7</TD>
<TD>29.8</TD>
<TD>37.3</TD>
<TD>68.3</TD>
<TD>62.1</TD>
<TD>44.2</TD>
<TD>83.7</TD>
<TD>88.0</TD>
<TD>88.1</TD>
<TD re_3_="undefined">80.1</TD></TR>
<TR bgColor=#f7f7f7>
<TD bgColor=#eff3f7></TD>
<TD bgColor=#eff3f7>Jun</TD>
<TD rE_3_="undefined">29.8</TD>
<TD rE_3_="undefined">29.8</TD>
<TD>29.7</TD>
<TD>34.1</TD>
<TD>35.6</TD>
<TD>30.1</TD>
<TD>42.1</TD>
<TD>63.4</TD>
<TD>77.7</TD>
<TD>51.2</TD>
<TD>77.4</TD>
<TD>82.7</TD>
<TD>82.5</TD>
<TD re_3_="undefined">78.9P</TD></TR>
<TR bgColor=#f7f3ea>
<TD bgColor=#eff3f7></TD>
<TD bgColor=#eff3f7>Sep</TD>
<TD rE_3_="undefined">34.2</TD>
<TD rE_3_="undefined">32.0</TD>
<TD>31.1</TD>
<TD>29.2</TD>
<TD>28.5</TD>
<TD>27.7</TD>
<TD>67.3</TD>
<TD>60.7</TD>
<TD>43.0</TD>
<TD>65.1</TD>
<TD>82.4</TD>
<TD>110.1</TD>
<TD>71.4</TD>
<TD re_3_="undefined">n.a.</TD></TR>
<TR bgColor=#f7f7f7>
<TD bgColor=#eff3f7></TD>
<TD bgColor=#eff3f7>Dec</TD>
<TD rE_3_="undefined">27.7</TD>
<TD rE_3_="undefined">29.2</TD>
<TD>33.6</TD>
<TD>33.0</TD>
<TD>30.9</TD>
<TD>32.9</TD>
<TD>71.8</TD>
<TD>51.6</TD>
<TD>49.7</TD>
<TD>85.6</TD>
<TD>
82.1</TD>
<TD>
88.5</TD>
<TD>72.0</TD>
<TD re_3_="undefined">n.a.</TD></TR>
<TR bgColor=#f7f3ea>
<TD bgColor=#eff3f7 colSpan=2>Resident Median Duration of
Unemployment as at Jun (Weeks)
(Non-Seasonally Adjusted)2</TD>
<TD rE_3_="undefined">6.0</TD>
<TD rE_3_="undefined">6.0</TD>
<TD>4.0</TD>
<TD>n.a.</TD>
<TD>4.0</TD>
<TD>8.0</TD>
<TD>8.0</TD>
<TD>12.0</TD>
<TD>n.a.</TD>
<TD>8.0</TD>
<TD>12.0</TD>
<TD>12.0</TD>
<TD>12.0</TD>
<TD re_3_="undefined">n.a.</TD></TR></TABLE>
<TABLE width="100%" border=0>

<TR>
<TD align=right></TD></TR>
<TR>
<TD align=right rE_3_="undefined"></TD></TR></TABLE>
<TABLE cellSpacing=2 cellPadding=2 width=744 border=0>

<TR bgColor=#eeeeee>
<TD width=244 bgColor=#eeeeee colSpan=2>Resident Long-Term Unemployment </TD>
<TD align=middle width=38 rE_3_="undefined">1992</TD>
<TD align=middle width=38>1993</TD>
<TD align=middle width=34>1994</TD>
<TD align=middle width=38>1995</TD>
<TD align=middle width=36>1996</TD>
<TD align=middle width=35>1997</TD>
<TD align=middle width=36>1998</TD>
<TD align=middle width=36>1999</TD>
<TD align=middle width=33>2000</TD>
<TD align=middle width=37>2001</TD>
<TD align=middle width=36>2002</TD>
<TD align=middle width=33>2003</TD>
<TD align=middle width=32>2004</TD></TR>
<TR>
<TD width=12 bgColor=#eff3f7></TD>
<TD width=226 bgColor=#eff3f7>Annual Average</TD>
<TD class="" width=38 bgColor=#ebf4fe rE_3_="undefined"></TD>
<TD width=38 bgColor=#eff3f7></TD>
<TD width=34 bgColor=#eff3f7></TD>
<TD width=38 bgColor=#eff3f7></TD>
<TD width=36 bgColor=#eff3f7></TD>
<TD width=35 bgColor=#eff3f7></TD>
<TD width=36 bgColor=#eff3f7></TD>
<TD width=36 bgColor=#eff3f7></TD>
<TD width=33 bgColor=#eff3f7></TD>
<TD width=37 bgColor=#eff3f7></TD>
<TD width=36 bgColor=#eff3f7></TD>
<TD width=33 bgColor=#eff3f7></TD>
<TD width=32 bgColor=#eff3f7></TD></TR>
<TR>
<TD width=12 bgColor=#eff3f7></TD>
<TD width=226 bgColor=#eff3f7>Rate (%)</TD>
<TD class="" width=38 bgColor=#ebf4fe rE_3_="undefined">0.3</TD>
<TD width=38 bgColor=#eff3f7>0.3</TD>
<TD width=34 bgColor=#eff3f7>0.3</TD>
<TD width=38 bgColor=#eff3f7>0.3</TD>
<TD width=36 bgColor=#eff3f7>0.4</TD>
<TD width=35 bgColor=#eff3f7>0.4</TD>
<TD width=36 bgColor=#eff3f7>0.8</TD>
<TD width=36 bgColor=#eff3f7>1.2</TD>
<TD width=33 bgColor=#eff3f7>n.a.</TD>
<TD width=37 bgColor=#eff3f7>0.9</TD>
<TD width=36 bgColor=#eff3f7>1.4</TD>
<TD width=33 bgColor=#eff3f7>1.4</TD>
<TD width=32 bgColor=#eff3f7>1.3</TD></TR>
<TR>
<TD width=12 bgColor=#eff3f7></TD>
<TD width=226 bgColor=#eff3f7>Number ('000)</TD>
<TD class="" width=38 bgColor=#ebf4fe rE_3_="undefined">4.2</TD>
<TD width=38 bgColor=#eff3f7>4.2</TD>
<TD width=34 bgColor=#eff3f7>4.5</TD>
<TD width=38 bgColor=#eff3f7>4.0</TD>
<TD width=36 bgColor=#eff3f7>5.5</TD>
<TD width=35 bgColor=#eff3f7>5.7</TD>
<TD width=36 bgColor=#eff3f7>11.8</TD>
<TD width=36 bgColor=#eff3f7>18.3</TD>
<TD width=33 bgColor=#eff3f7>n.a.</TD>
<TD width=37 bgColor=#eff3f7>15.1</TD>
<TD width=36 bgColor=#eff3f7>23.4</TD>
<TD width=33 bgColor=#eff3f7>24.8</TD>
<TD width=32 bgColor=#eff3f7>22.5</TD></TR>
<TR bgColor=#f7f7f7>
<TD align=right width=740 bgColor=#ffffff colSpan=15>
Source: Labour Force Survey
General Household Survey
Census of Population</TD></TR></TABLE>
第三部分是失业率... 惊叹98之前的新加坡失业率那么低... 这个也是和第一部分的就业市场相互因素的结果... 金融风暴过后, 新加坡失业率一直到现在应该都说是维持在相对高位... 
值得注意的是,在2003年事业率曾经达到6.3%的高位, 并在5.0%以上维持几个季度... 当时也造成政府和国民相当高的关注... 数据也可以看出国民失业率要相对偏高... 失业率的高低影响到政府在工作准证上的态度, 可以提供给申请工作准证的朋友们参考分析... 
失业率升高是区域国家经济洗牌和中国印度高速发展, 新加坡工薪升高, 政府调整产业结构的综合因素造成的... 劳动密集型企业的出走, 和数码科技竖立起来的就业区隔, 使得低技术工种产业大量失业....

[此贴子已经被作者于2005-9-3 11:42:13编辑过]

此地无银 · 发表于 3-9-2005 10:12:23|来自：新加坡

<TABLE cellPadding=0 width="100%" border=0>

<TR>
<TD>
EARNINGS AND WAGES</TD>
<TD>
Last Updated : 15 June 2005</TD></TR></TABLE>




<TABLE cellPadding=0 width="100%" border=0>

<TR>
<TD width="28%" colSpan=2>
Average Monthly Nominal Earnings</TD>
<TD width="8%">
1994</TD>
<TD>
1995</TD>
<TD>
1996</TD>
<TD>
1997</TD>
<TD>
1998</TD>
<TD>
1999</TD>
<TD>
2000</TD>
<TD>
2001</TD>
<TD>
2002</TD>
<TD>
2003</TD>
<TD>
2004</TD>
<TD>
2005</TD></TR>
<TR>
<TD width="28%" colSpan=2>
<st1:country-region w:st="on"><st1:place w:st="on">Singapore</st1:place></st1:country-region> $ per employee</TD>
<TD width="8%">

</TD>
<TD>



</TD>
<TD>


</TD>
<TD>


</TD>
<TD>


</TD>
<TD>


</TD>
<TD>


</TD>
<TD>


</TD>
<TD>


</TD>
<TD>


</TD>
<TD>


</TD>
<TD>


</TD></TR>
<TR>
<TD>


</TD>
<TD width="24%">
Annual</TD>
<TD width="8%">
2,086</TD>
<TD>
2,219</TD>
<TD>
2,347</TD>
<TD>
2,480</TD>
<TD>
2,740</TD>
<TD>
2,813</TD>
<TD>
3,063</TD>
<TD>
3,134</TD>
<TD>
3,158</TD>
<TD>
3,213</TD>
<TD>
3,329</TD>
<TD>
n.a.</TD></TR>
<TR>
<TD>


</TD>
<TD width="24%">
1st Qtr</TD>
<TD width="8%">
2,023</TD>
<TD>
2,167</TD>
<TD>
2,317</TD>
<TD>
2,436</TD>
<TD>
2,800</TD>
<TD>
2,793</TD>
<TD>
3,018</TD>
<TD>
3,189</TD>
<TD>
3,206</TD>
<TD>
3,283</TD>
<TD>
3,428</TD>
<TD>
3,592</TD></TR>
<TR>
<TD>


</TD>
<TD width="24%">
2nd Qtr</TD>
<TD width="8%">
1,937</TD>
<TD>
2,067</TD>
<TD>
2,188</TD>
<TD>
2,319</TD>
<TD>
2,544</TD>
<TD>
2,570</TD>
<TD>
2,755</TD>
<TD>
2,919</TD>
<TD>
2,931</TD>
<TD>
2,975</TD>
<TD>
3,097</TD>
<TD>
n.a.</TD></TR>
<TR>
<TD>


</TD>
<TD width="24%">
3rd Qtr</TD>
<TD width="8%">
1,974</TD>
<TD>
2,114</TD>
<TD>
2,219</TD>
<TD>
2,335</TD>
<TD>
2,511</TD>
<TD>
2,600</TD>
<TD>
2,826</TD>
<TD>
2,963</TD>
<TD>
2,949</TD>
<TD>
2,988</TD>
<TD>
3,030</TD>
<TD>
n.a.</TD></TR>
<TR>
<TD>


</TD>
<TD width="24%">
4th Qtr</TD>
<TD width="8%">
2,408</TD>
<TD>
2,527</TD>
<TD>
2,665</TD>
<TD>
2,831</TD>
<TD>
3,104</TD>
<TD>
3,287</TD>
<TD>
3,653</TD>
<TD>
3,463</TD>
<TD>
3,548</TD>
<TD>
3,605</TD>
<TD>
3,762</TD>
<TD>
n.a.</TD></TR>
<TR>
<TD width="28%" colSpan=2>
Growth Rate (%)</TD>
<TD width="8%">


</TD>
<TD>


</TD>
<TD>


</TD>
<TD>


</TD>
<TD>


</TD>
<TD>


</TD>
<TD>


</TD>
<TD>


</TD>
<TD>


</TD>
<TD>


</TD>
<TD>


</TD>
<TD>


</TD></TR>
<TR>
<TD>


</TD>
<TD width="24%">
Annual</TD>
<TD width="8%">
8.8</TD>
<TD>
6.4</TD>
<TD>
5.8</TD>
<TD>
5.7</TD>
<TD>
2.8</TD>
<TD>
2.7</TD>
<TD>
8.9</TD>
<TD>
2.3</TD>
<TD>
0.8</TD>
<TD>
1.7</TD>
<TD>
3.6</TD>
<TD>
n.a.</TD></TR>
<TR>
<TD>


</TD>
<TD width="24%">
1st Qtr</TD>
<TD width="8%">
9.1</TD>
<TD>
7.1</TD>
<TD>
6.9</TD>
<TD>
5.1</TD>
<TD>
4.8</TD>
<TD>
-0.3</TD>
<TD>
8.1</TD>
<TD>
5.7</TD>
<TD>
0.5</TD>
<TD>
2.4</TD>
<TD>
4.4</TD>
<TD>
4.8</TD></TR>
<TR>
<TD>


</TD>
<TD width="24%">
2nd Qtr</TD>
<TD width="8%">
8.9</TD>
<TD>
6.7</TD>
<TD>
5.9</TD>
<TD>
6.0</TD>
<TD>
4.3</TD>
<TD>
1.0</TD>
<TD>
7.2</TD>
<TD>
6.0</TD>
<TD>
0.4</TD>
<TD>
1.5</TD>
<TD>
4.1</TD>
<TD>
n.a.</TD></TR>
<TR>
<TD>


</TD>
<TD width="24%">
3rd Qtr</TD>
<TD width="8%">
8.9</TD>
<TD>
7.1</TD>
<TD>
5.0</TD>
<TD>
5.2</TD>
<TD>
2.9</TD>
<TD>
3.5</TD>
<TD>
8.7</TD>
<TD>
4.8</TD>
<TD>
-0.5</TD>
<TD>
1.3</TD>
<TD>
1.4</TD>
<TD>
n.a.</TD></TR>
<TR>
<TD>


</TD>
<TD width="24%">
4th Qtr</TD>
<TD width="8%">
8.2</TD>
<TD>
4.9</TD>
<TD>
5.5</TD>
<TD>
6.2</TD>
<TD>
-0.3</TD>
<TD>
5.9</TD>
<TD>
11.1</TD>
<TD>
-5.2</TD>
<TD>
2.5</TD>
<TD>
1.6</TD>
<TD>
4.4</TD>
<TD>
n.a.</TD></TR></TABLE>




<TABLE cellPadding=0 width="100%" border=0>

<TR>
<TD>
Source : Central Provident Fund Board </TD></TR></TABLE>
第二部分是收入走势. 可以看到98之后收入出现波动, 并出现几个季度的负增长... 在这两年收入又重新出现良好势头,按照数据公布,2005年第一季度的平均收入是S$3,592... 
这一方面是房地产价格在那个期间出现比较大的波动... 在低位工薪阶层并没有很大的变动, 倒是高增值行业和高薪阶层拉动整个收入弧度....

[此贴子已经被作者于2005-9-3 12:05:02编辑过]

此地无银 · 发表于 3-9-2005 10:15:09|来自：新加坡

<TABLE cellPadding=0 width="100%" border=0>

<TR>
<TD>
EMPLOYMENT</TD>
<TD>
Last Updated : 08 Aug 2005</TD></TR></TABLE>




<TABLE cellSpacing=1 cellPadding=0 width="100%" border=0>

<TR>
<TD width=175 colSpan=2>


</TD>
<TD width=69>
1994</TD>
<TD width=72>
1995</TD>
<TD width=70>
1996</TD>
<TD width=69>
1997</TD>
<TD width=66>
1998</TD>
<TD width=65>
1999</TD>
<TD width=64>
2000</TD>
<TD width=62>
2001</TD>
<TD width=58>
2002</TD>
<TD width=63>
2003</TD>
<TD width=62>
2004</TD>
<TD width=49>
2005</TD></TR>
<TR>
<TD width=175 colSpan=2>
Employment as at year-end ('000)</TD>
<TD width=69>
1,714.2</TD>
<TD width=72>
1,823.2</TD>
<TD width=70>
1,925.8</TD>
<TD width=69>
2,046.1</TD>
<TD width=66>
2,022.7</TD>
<TD width=65>
2,062.6</TD>
<TD width=64>
2,171.1</TD>
<TD width=62>
2,171.0</TD>
<TD width=58>
2,148.1</TD>
<TD width=63>
2,135.2</TD>
<TD width=62>
2,206.6</TD>
<TD width=49>
n.a.</TD></TR>
<TR>
<TD width=175 colSpan=2>
Employment by Sector as at year-end (%)</TD>
<TD width=69>
100.0</TD>
<TD width=72>
100.0</TD>
<TD width=70>
100.0</TD>
<TD width=69>
100.0</TD>
<TD width=66>
100.0</TD>
<TD width=65>
100.0</TD>
<TD width=64>
100.0</TD>
<TD width=62>
100.0</TD>
<TD width=58>
100.0</TD>
<TD width=63>
100.0</TD>
<TD width=62>
100.0</TD>
<TD width=49>
100.0</TD></TR>
<TR>
<TD width=38>


</TD>
<TD width=131>
Manufacturing</TD>
<TD width=69>
25.3</TD>
<TD width=72>
24.5</TD>
<TD width=70>
22.8</TD>
<TD width=69>
21.6</TD>
<TD width=66>
20.5</TD>
<TD width=65>
20.3</TD>
<TD width=64>
20.5</TD>
<TD width=62>
19.8</TD>
<TD width=58>
19.8</TD>
<TD width=63>
19.7</TD>
<TD width=62>
20.3</TD>
<TD width=49>
n.a.</TD></TR>
<TR>
<TD width=38>


</TD>
<TD width=131>
Construction</TD>
<TD width=69>
11.1</TD>
<TD width=72>
12.7</TD>
<TD width=70>
14.7</TD>
<TD width=69>
16.1</TD>
<TD width=66>
16.0</TD>
<TD width=65>
14.9</TD>
<TD width=64>
14.2</TD>
<TD width=62>
13.2</TD>
<TD width=58>
11.8</TD>
<TD width=63>
11.0</TD>
<TD width=62>
10.3</TD>
<TD width=49>
n.a.</TD></TR>
<TR>
<TD width=38>


</TD>
<TD width=131>
Services</TD>
<TD width=69>
62.9</TD>
<TD width=72>
62.3</TD>
<TD width=70>
61.9</TD>
<TD width=69>
61.7</TD>
<TD width=66>
62.8</TD>
<TD width=65>
64.2</TD>
<TD width=64>
64.7</TD>
<TD width=62>
66.4</TD>
<TD width=58>
67.9</TD>
<TD width=63>
68.7</TD>
<TD width=62>
68.9</TD>
<TD width=49>
n.a.</TD></TR>
<TR>
<TD width=38>


</TD>
<TD width=131>
Others</TD>
<TD width=69>
0.7</TD>
<TD width=72>
0.6</TD>
<TD width=70>
0.6</TD>
<TD width=69>
0.6</TD>
<TD width=66>
0.6</TD>
<TD width=65>
0.6</TD>
<TD width=64>
0.6</TD>
<TD width=62>
0.5</TD>
<TD width=58>
0.5</TD>
<TD width=63>
0.6</TD>
<TD width=62>
0.5</TD>
<TD width=49>
n.a.</TD></TR>
<TR>
<TD width=143 colSpan=2>
Employment Change ('000)</TD>
<TD width=77>
72.1</TD>
<TD width=81>
109.0</TD>
<TD width=61>
102.6</TD>
<TD width=63>
120.3</TD>
<TD width=62>
-23.4</TD>
<TD width=59>
39.9</TD>
<TD width=64>
108.5</TD>
<TD width=65>
-0.1</TD>
<TD width=57>
-22.9</TD>
<TD width=63>
-12.9</TD>
<TD width=60>
71.4</TD>
<TD width=36>
n.a.</TD></TR>
<TR>
<TD width=29>


</TD>
<TD width=121>
1st Qtr</TD>
<TD width=77>
9.0</TD>
<TD width=81>
14.2</TD>
<TD width=61>
17.4</TD>
<TD width=63>
16.2</TD>
<TD width=62>
9.1</TD>
<TD width=59>
-9.6</TD>
<TD width=64>
13.7</TD>
<TD width=65>
23.2</TD>
<TD width=57>
-10.3</TD>
<TD width=63>
-4.1</TD>
<TD width=60>
13.7</TD>
<TD width=36>
17.8</TD></TR>
<TR>
<TD width=29>


</TD>
<TD width=121>
2nd Qtr</TD>
<TD width=77>
28.9</TD>
<TD width=81>
27.1</TD>
<TD width=61>
23.3</TD>
<TD width=63>
37.2</TD>
<TD width=62>
-5.9</TD>
<TD width=59>
15.5</TD>
<TD width=64>
29.7</TD>
<TD width=65>
3.3</TD>
<TD width=57>
-3.8</TD>
<TD width=63>
-26.0</TD>
<TD width=60>
10.9</TD>
<TD width=36>
27.7P</TD></TR>
<TR>
<TD width=29>


</TD>
<TD width=121>
3rd Qtr</TD>
<TD width=77>
7.9</TD>
<TD width=81>
20.4</TD>
<TD width=61>
22.1</TD>
<TD width=63>
31.1</TD>
<TD width=62>
-20.3</TD>
<TD width=59>
7.7</TD>
<TD width=64>
30.0</TD>
<TD width=65>
-12.5</TD>
<TD width=57>
-8.5</TD>
<TD width=63>
0.9</TD>
<TD width=60>
14.1</TD>
<TD width=36>
n.a.</TD></TR>
<TR>
<TD width=38>


</TD>
<TD width=121>
4th Qtr</TD>
<TD width=77>
26.3</TD>
<TD width=81>
47.3</TD>
<TD width=61>
39.8</TD>
<TD width=63>
35.8</TD>
<TD width=62>
-6.3</TD>
<TD width=59>
26.3</TD>
<TD width=64>
35.1</TD>
<TD width=65>
-14.1</TD>
<TD width=57>
-0.3</TD>
<TD width=63>
16.2</TD>
<TD width=60>
32.7</TD>
<TD width=36>
n.a.</TD></TR></TABLE>




<TABLE cellPadding=0 width="100%" border=0>

<TR>
<TD>
Source : Administrative Records </TD></TR></TABLE>第四部分的产业就业结构, 可以看到制造业和建筑业就业市场都不景气, 主要源于大型电子企业的迁移... 在某些产业如造船业等市场情况仍然红火...

[此贴子已经被作者于2005-9-3 11:42:43编辑过]

此地无银 · 发表于 3-9-2005 10:17:54|来自：新加坡

数据格式有部分问题, 希望大家见谅...

[此贴子已经被作者于2005-9-3 11:46:02编辑过]

此地无银 · 发表于 3-9-2005 10:17:23|来自：新加坡

<TABLE cellPadding=0 width="100%" border=0>

<TR>
<TD>
RETRENCHMENT</TD>
<TD>
Last Updated : 08 Aug 2005</TD></TR></TABLE>




<TABLE cellPadding=0 width="100%" border=0>

<TR>
<TD>
<DIV align=right>
<TABLE cellPadding=0 width="100%" border=0>

<TR>
<TD colSpan=2>


</TD>
<TD>
1994</TD>
<TD>
1995</TD>
<TD>
1996</TD>
<TD>
1997</TD>
<TD>
1998</TD>
<TD>
1999</TD>
<TD>
2000</TD>
<TD>
2001</TD>
<TD>
2002</TD>
<TD>
2003</TD>
<TD>
2004</TD>
<TD>
2005</TD></TR>
<TR>
<TD colSpan=2>
Retrenched Workers (Number)</TD>
<TD>
9,444</TD>
<TD>
8,788</TD>
<TD>
10,956</TD>
<TD>
9,784</TD>
<TD>
29,086</TD>
<TD>
14,622</TD>
<TD>
11,624</TD>
<TD>
25,838</TD>
<TD>
19,086</TD>
<TD>
16,400</TD>
<TD>
10,191</TD>
<TD>
n.a.</TD></TR>
<TR>
<TD>


</TD>
<TD>
1st Qtr</TD>
<TD>
1,628</TD>
<TD>
2,248</TD>
<TD>
2,705</TD>
<TD>
1,582</TD>
<TD>
7,131</TD>
<TD>
3,402</TD>
<TD>
6,046</TD>
<TD>
3,248</TD>
<TD>
4,857</TD>
<TD>
4,411</TD>
<TD>
2,962</TD>
<TD>
2,168</TD></TR>
<TR>
<TD>


</TD>
<TD>
2nd Qtr</TD>
<TD>
1,903</TD>
<TD>
1,626</TD>
<TD>
2,104</TD>
<TD>
2,561</TD>
<TD>
7,309</TD>
<TD>
3,350</TD>
<TD>
1,857</TD>
<TD>
5,631</TD>
<TD>
4,091</TD>
<TD>
5,144</TD>
<TD>
2,055</TD>
<TD>
1,900P</TD></TR>
<TR>
<TD>


</TD>
<TD>
3rd Qtr</TD>
<TD>
1,956</TD>
<TD>
2,216</TD>
<TD>
3,326</TD>
<TD>
1,363</TD>
<TD>
6,633</TD>
<TD>
3,395</TD>
<TD>
1,755</TD>
<TD>
8,368</TD>
<TD>
4,187</TD>
<TD>
4,061</TD>
<TD>
1,967</TD>
<TD>
n.a.</TD></TR>
<TR>
<TD>


</TD>
<TD>
4th Qtr</TD>
<TD>
3,957</TD>
<TD>
2,698</TD>
<TD>
2,821</TD>
<TD>
4,278</TD>
<TD>
8,013</TD>
<TD>
4,475</TD>
<TD>
1,966</TD>
<TD>
8,591</TD>
<TD>
5,951 </TD>
<TD>
2,784</TD>
<TD>
3,207</TD>
<TD>
n.a.</TD></TR>
<TR>
<TD colSpan=2>
Number Retrenched Per 1,000 Paid Workers</TD>
<TD>
11.6</TD>
<TD>
10.2</TD>
<TD>
11.9</TD>
<TD>
10.1</TD>
<TD>
29.0</TD>
<TD>
15.2</TD>
<TD>
11.5</TD>
<TD>
24.7</TD>
<TD>
18.2</TD>
<TD>
15.8</TD>
<TD>
9.7</TD>
<TD>
n.a.</TD></TR>
<TR>
<TD colSpan=2>
Retrenching Establishments (Number)</TD>
<TD>
295</TD>
<TD>
351</TD>
<TD>
399</TD>
<TD>
358</TD>
<TD>
1,235</TD>
<TD>
781</TD>
<TD>
525</TD>
<TD>
1,239</TD>
<TD>
1,149</TD>
<TD>
1,106</TD>
<TD>
723</TD>
<TD>
n.a.</TD></TR></TABLE></DIV>
Source : Labour Market Survey 
 
 </TD></TR></TABLE>
第五部分是裁员情况. 这个部分上应该是过了前几年的大裁员(1998/29,086)(2001/25,838)(2002/19,086)的情况, 目前处于相对稳定的情况...

[此贴子已经被作者于2005-9-3 11:43:31编辑过]