Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Carroll County, VA
Series ID MHICIUBVA51035A052NCEN
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 3:11 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 26423
1994-01-01 .
1995-01-01 29629
1996-01-01 .
1997-01-01 31455
1998-01-01 32573
1999-01-01 32152
2000-01-01 33815
2001-01-01 32567
2002-01-01 33095
2003-01-01 33924
2004-01-01 34949
2005-01-01 34897
2006-01-01 38121
2007-01-01 38748
2008-01-01 39019
2009-01-01 37232
2010-01-01 37737
2011-01-01 38323
2012-01-01 35348
2013-01-01 39604
2014-01-01 41747
2015-01-01 45820
2016-01-01 43936
2017-01-01 45489
2018-01-01 45067
2019-01-01 50725
2020-01-01 55025
2021-01-01 49869
2022-01-01 57184
2023-01-01 59303

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