The sampling proportion may be used to scale up the results from a sample to that of the population. It is also used for designing stratified sampling.
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p-hat is the 'proportion in your sample.' It may be given as a percentage, a proportion or you will have to figure it out as a fraction (proportion).
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A point estimate of a population parameter is a single value of a statistic. For example, the sample mean x is a point estimate of the population mean μ. Similarly, the sample proportion p is a point estimate of the population proportion P.
In a stratified sample, the sampling proportion is the same for each stratum. In a random sample it should be but, due to randomness, need not be.
The mean of a proportion, p, is X/n; where X is the number of instances & n is the sample size; and its standard deviation is sqrt[p(1-p)]