Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Waynesboro City, VA
Series ID MHICILBVA51820A052NCEN
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 27380
1994-01-01 .
1995-01-01 27864
1996-01-01 .
1997-01-01 30039
1998-01-01 31555
1999-01-01 30930
2000-01-01 32204
2001-01-01 31988
2002-01-01 32074
2003-01-01 32317
2004-01-01 33315
2005-01-01 34083
2006-01-01 35019
2007-01-01 39913
2008-01-01 37226
2009-01-01 36669
2010-01-01 37302
2011-01-01 36271
2012-01-01 40528
2013-01-01 38874
2014-01-01 41709
2015-01-01 39488
2016-01-01 37485
2017-01-01 39943
2018-01-01 44484
2019-01-01 40292
2020-01-01 46076
2021-01-01 48495
2022-01-01 51705

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