Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Covington City, VA
Series ID MHICIUBVA51580A052NCEN
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 1:51 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 26324
1994-01-01 .
1995-01-01 29221
1996-01-01 .
1997-01-01 30874
1998-01-01 32106
1999-01-01 31997
2000-01-01 33995
2001-01-01 33379
2002-01-01 33842
2003-01-01 33772
2004-01-01 34765
2005-01-01 38488
2006-01-01 37880
2007-01-01 38257
2008-01-01 39332
2009-01-01 36557
2010-01-01 37007
2011-01-01 39323
2012-01-01 40009
2013-01-01 36957
2014-01-01 40351
2015-01-01 38995
2016-01-01 41862
2017-01-01 41999
2018-01-01 44804
2019-01-01 46861
2020-01-01 47156
2021-01-01 47568
2022-01-01 52361

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