Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Charles City County, VA
Series ID MHICILBVA51036A052NCEN
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 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
1989-01-01 23448
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29806
1994-01-01 .
1995-01-01 31277
1996-01-01 .
1997-01-01 34047
1998-01-01 36944
1999-01-01 36981
2000-01-01 39268
2001-01-01 39127
2002-01-01 39823
2003-01-01 40639
2004-01-01 42142
2005-01-01 42448
2006-01-01 45045
2007-01-01 43710
2008-01-01 46143
2009-01-01 43690
2010-01-01 41995
2011-01-01 42094
2012-01-01 43400
2013-01-01 43749
2014-01-01 44624
2015-01-01 46967
2016-01-01 52217
2017-01-01 48707
2018-01-01 50866
2019-01-01 50437
2020-01-01 52611
2021-01-01 56247
2022-01-01 59881

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