Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for King George County, VA
Series ID MHICILBVA51099A052NCEN
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 2:32 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 32294
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 38172
1994-01-01 .
1995-01-01 38864
1996-01-01 .
1997-01-01 42404
1998-01-01 45869
1999-01-01 46148
2000-01-01 48503
2001-01-01 49127
2002-01-01 51223
2003-01-01 53733
2004-01-01 57154
2005-01-01 60690
2006-01-01 58014
2007-01-01 62724
2008-01-01 73471
2009-01-01 62205
2010-01-01 71313
2011-01-01 69252
2012-01-01 70305
2013-01-01 71316
2014-01-01 69463
2015-01-01 74352
2016-01-01 73058
2017-01-01 79180
2018-01-01 77844
2019-01-01 78114
2020-01-01 81292
2021-01-01 88512
2022-01-01 91480
2023-01-01 89844

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