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Census Family Total Income - The total income of a census family is the sum of the total incomes of all members of that family.
Average Income of Census Families and Non-family Persons 15 Years of Age and Over - Average census family income refers to the weighted mean total income of census families or non-family persons in 2000. Average income is calculated from unrounded data by dividing the aggregate income of a specified group of families (e.g., husband-wife families with working wives) or non-family persons by the number of families or non-family persons in that respective group, whether or not they reported income. Similarly, the average income of a group of non-family persons is calculated from unrounded data by dividing the aggregate income of the specified group by the number of all non-family persons 15 years of age and over in the group, whether or not they reported income. Median Income of Census Families and Non-family Persons 15 Years of Age and Over - The median income of a specified group of census families or non-family persons 15 years of age and over is that amount which divides their income size distribution into two halves. That is, the incomes of the first half of the families or non-family persons are below the median, while those of the second half are above the median. Median incomes of census families and non-family persons are normally calculated for all units in the specified group, whether or not they reported income. Standard Error of Average Income - Refers to the estimated standard error of average income for an income size distribution. If interpreted as shown below, it serves as a rough indicator of the precision of the corresponding estimate of average income. For about 68% of the samples which could be selected from the sample frame, the difference between the sample estimate of average income and the corresponding figure based on complete enumeration would be less than one standard error. For about 95% of the possible samples, the difference would be less than two standard errors and, in about 99% of the samples, the difference would be approximately two and a half standard errors. |
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