Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Southampton County, VA
Series ID MHICIUBVA51175A052NCEN
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 1:09 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 31446
1994-01-01 .
1995-01-01 35458
1996-01-01 .
1997-01-01 36996
1998-01-01 38762
1999-01-01 35546
2000-01-01 37407
2001-01-01 36306
2002-01-01 36528
2003-01-01 37672
2004-01-01 38883
2005-01-01 43574
2006-01-01 42011
2007-01-01 47529
2008-01-01 47107
2009-01-01 46754
2010-01-01 47123
2011-01-01 47285
2012-01-01 47805
2013-01-01 50469
2014-01-01 51092
2015-01-01 52633
2016-01-01 54235
2017-01-01 54202
2018-01-01 57950
2019-01-01 66368
2020-01-01 68157
2021-01-01 64138
2022-01-01 68801

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