Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Richmond County, VA
Series ID MHICILBVA51159A052NCEN
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 1:11 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
1989-01-01 20192
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23965
1994-01-01 .
1995-01-01 25099
1996-01-01 .
1997-01-01 26193
1998-01-01 27348
1999-01-01 29600
2000-01-01 30746
2001-01-01 29730
2002-01-01 29756
2003-01-01 30932
2004-01-01 32171
2005-01-01 32511
2006-01-01 34447
2007-01-01 36661
2008-01-01 49386
2009-01-01 36506
2010-01-01 36840
2011-01-01 35570
2012-01-01 37305
2013-01-01 39195
2014-01-01 37788
2015-01-01 39490
2016-01-01 40879
2017-01-01 44136
2018-01-01 44241
2019-01-01 43996
2020-01-01 47973
2021-01-01 47346
2022-01-01 58379

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