Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Fredericksburg City, VA

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Fredericksburg City, VA
Series ID MHICILBVA51630A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1993-01-01 to 2022-01-01
Last Updated 2023-12-14 1:11 PM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1993-01-01 28129
1994-01-01 .
1995-01-01 30174
1996-01-01 .
1997-01-01 32338
1998-01-01 33893
1999-01-01 33108
2000-01-01 34328
2001-01-01 34895
2002-01-01 35640
2003-01-01 34343
2004-01-01 35094
2005-01-01 34967
2006-01-01 38391
2007-01-01 39297
2008-01-01 41610
2009-01-01 39855
2010-01-01 41083
2011-01-01 46794
2012-01-01 43033
2013-01-01 43890
2014-01-01 46071
2015-01-01 45925
2016-01-01 48684
2017-01-01 51152
2018-01-01 52791
2019-01-01 55565
2020-01-01 66430
2021-01-01 75422
2022-01-01 63389

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