Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Richmond County, VA
Series ID MHICIUBVA51159A052NCEN
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 24719
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28502
1994-01-01 .
1995-01-01 31259
1996-01-01 .
1997-01-01 32678
1998-01-01 33753
1999-01-01 33799
2000-01-01 35824
2001-01-01 34253
2002-01-01 34299
2003-01-01 35211
2004-01-01 36670
2005-01-01 39140
2006-01-01 40534
2007-01-01 43731
2008-01-01 55424
2009-01-01 44735
2010-01-01 44352
2011-01-01 43678
2012-01-01 45075
2013-01-01 46281
2014-01-01 46620
2015-01-01 48286
2016-01-01 49927
2017-01-01 52574
2018-01-01 54557
2019-01-01 55520
2020-01-01 63767
2021-01-01 60572
2022-01-01 61981

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