Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lee County, VA
Series ID MHICIUBVA51105A052NCEN
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 18081
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19141
1994-01-01 .
1995-01-01 23489
1996-01-01 .
1997-01-01 24747
1998-01-01 25757
1999-01-01 24660
2000-01-01 25840
2001-01-01 24995
2002-01-01 25843
2003-01-01 26773
2004-01-01 27886
2005-01-01 27852
2006-01-01 29438
2007-01-01 32231
2008-01-01 31217
2009-01-01 32315
2010-01-01 33553
2011-01-01 32612
2012-01-01 32973
2013-01-01 35158
2014-01-01 34698
2015-01-01 34732
2016-01-01 35868
2017-01-01 35522
2018-01-01 38426
2019-01-01 39998
2020-01-01 44168
2021-01-01 42316
2022-01-01 46737
2023-01-01 49512

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