Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Henrico County, VA
Series ID MHICIUBVA51087A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 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
1989-01-01 37925
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 41443
1994-01-01 .
1995-01-01 44128
1996-01-01 .
1997-01-01 47085
1998-01-01 50072
1999-01-01 51024
2000-01-01 53763
2001-01-01 53141
2002-01-01 54188
2003-01-01 54370
2004-01-01 56287
2005-01-01 58127
2006-01-01 59145
2007-01-01 60906
2008-01-01 63511
2009-01-01 59332
2010-01-01 62342
2011-01-01 60669
2012-01-01 61672
2013-01-01 62084
2014-01-01 64735
2015-01-01 68950
2016-01-01 69744
2017-01-01 69870
2018-01-01 71414
2019-01-01 72389
2020-01-01 83986
2021-01-01 82074
2022-01-01 85437

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