Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Covington City, VA
Series ID MHICILBVA51580A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:12 AM 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 21739
1994-01-01 .
1995-01-01 23050
1996-01-01 .
1997-01-01 24606
1998-01-01 25859
1999-01-01 28077
2000-01-01 29247
2001-01-01 29081
2002-01-01 29443
2003-01-01 29733
2004-01-01 30612
2005-01-01 32239
2006-01-01 31624
2007-01-01 31557
2008-01-01 32192
2009-01-01 30044
2010-01-01 30917
2011-01-01 32519
2012-01-01 33123
2013-01-01 30851
2014-01-01 32655
2015-01-01 31753
2016-01-01 33946
2017-01-01 34001
2018-01-01 36204
2019-01-01 36823
2020-01-01 34210
2021-01-01 38582
2022-01-01 40823
2023-01-01 43175

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