Standard error measures the uncertainty or variability associated with a sample estimate when compared to the true population parameter. The standard error of a statistic (like a mean or percentage) indicates how much that statistic is expected to vary from the true population value.
The standard error is also inversely proportional to the sample size; the larger the sample size, the smaller the standard error.
Source: Stat Trek Statistics Dictionary.