Federal Reserve Economic Data

Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Nottoway County, VA

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Nottoway County, VA
Series ID MHICIUBVA51135A052NCEN
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 1:51 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 23351
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26101
1994-01-01 .
1995-01-01 28507
1996-01-01 .
1997-01-01 30644
1998-01-01 31616
1999-01-01 31495
2000-01-01 33815
2001-01-01 32560
2002-01-01 32856
2003-01-01 33049
2004-01-01 34280
2005-01-01 38030
2006-01-01 38081
2007-01-01 40990
2008-01-01 41751
2009-01-01 39867
2010-01-01 40350
2011-01-01 40142
2012-01-01 40106
2013-01-01 38150
2014-01-01 42052
2015-01-01 42885
2016-01-01 44485
2017-01-01 44892
2018-01-01 49556
2019-01-01 50900
2020-01-01 57397
2021-01-01 51907
2022-01-01 57013

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