Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Caroline County, VA
Series ID MHICIUBVA51033A052NCEN
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 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
1989-01-01 28107
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33451
1994-01-01 .
1995-01-01 36145
1996-01-01 .
1997-01-01 37687
1998-01-01 39901
1999-01-01 40565
2000-01-01 44149
2001-01-01 42718
2002-01-01 43944
2003-01-01 44210
2004-01-01 47002
2005-01-01 49501
2006-01-01 52503
2007-01-01 56201
2008-01-01 58648
2009-01-01 61393
2010-01-01 56768
2011-01-01 57504
2012-01-01 58976
2013-01-01 59357
2014-01-01 61486
2015-01-01 60204
2016-01-01 59980
2017-01-01 68050
2018-01-01 72319
2019-01-01 70037
2020-01-01 76842
2021-01-01 79335
2022-01-01 80599
2023-01-01 88045

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