Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lexington City, VA
Series ID MHICILBVA51678A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:53 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
1993-01-01 24732
1994-01-01 .
1995-01-01 24331
1996-01-01 .
1997-01-01 26407
1998-01-01 26741
1999-01-01 28287
2000-01-01 28468
2001-01-01 27757
2002-01-01 27831
2003-01-01 28896
2004-01-01 30879
2005-01-01 31033
2006-01-01 32790
2007-01-01 34339
2008-01-01 35672
2009-01-01 36474
2010-01-01 37296
2011-01-01 35951
2012-01-01 36253
2013-01-01 37303
2014-01-01 36455
2015-01-01 39668
2016-01-01 40340
2017-01-01 42334
2018-01-01 43623
2019-01-01 48194
2020-01-01 55567
2021-01-01 46589
2022-01-01 55243

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