Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Salem City, VA
Series ID MHICILBVA51775A052NCEN
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 31637
1994-01-01 .
1995-01-01 31123
1996-01-01 .
1997-01-01 34026
1998-01-01 36194
1999-01-01 36613
2000-01-01 38087
2001-01-01 37991
2002-01-01 38144
2003-01-01 37980
2004-01-01 38987
2005-01-01 38738
2006-01-01 40628
2007-01-01 42931
2008-01-01 41628
2009-01-01 45423
2010-01-01 43153
2011-01-01 40673
2012-01-01 43793
2013-01-01 43998
2014-01-01 50158
2015-01-01 44230
2016-01-01 53844
2017-01-01 49487
2018-01-01 52405
2019-01-01 50400
2020-01-01 64126
2021-01-01 53712
2022-01-01 56473

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