Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Colonial Heights City, VA
Series ID MHICILBVA51570A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:12 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
1993-01-01 34680
1994-01-01 .
1995-01-01 35380
1996-01-01 .
1997-01-01 37830
1998-01-01 39010
1999-01-01 40163
2000-01-01 40922
2001-01-01 39794
2002-01-01 40170
2003-01-01 41016
2004-01-01 43262
2005-01-01 42682
2006-01-01 44728
2007-01-01 43927
2008-01-01 46553
2009-01-01 43501
2010-01-01 44578
2011-01-01 44425
2012-01-01 47346
2013-01-01 45656
2014-01-01 48094
2015-01-01 41781
2016-01-01 47180
2017-01-01 49017
2018-01-01 51562
2019-01-01 50837
2020-01-01 59508
2021-01-01 52911
2022-01-01 62444
2023-01-01 63222

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