In some cases, the mean is computed incorrectly. Numpy however does the correct calculation. There is no problem with the standard deviation calculation. The following is an example.
In [11]: np.array(stateemp.area.tolist()).mean()
Out[11]: 23785.447812211703
In [12]: stateemp.area.mean()
Out[12]: 58.927762478114879
In [13]: np.array(stateemp.area.tolist()).std()
Out[13]: 22883.862745218048
In [14]: stateemp.area.std()
Out[14]: 22883.864924811925
In [15]: pd.__version__
Out[15]: '0.13.1'
In [16]: np.__version__
Out[16]: '1.8.1'
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