Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Halifax County, VA
Series ID MHICIUBVA51083A052NCEN
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 1:51 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
1993-01-01 27305
1994-01-01 .
1995-01-01 26744
1996-01-01 .
1997-01-01 31571
1998-01-01 32447
1999-01-01 31509
2000-01-01 32933
2001-01-01 31745
2002-01-01 31676
2003-01-01 32017
2004-01-01 33026
2005-01-01 35171
2006-01-01 36170
2007-01-01 35008
2008-01-01 37528
2009-01-01 38250
2010-01-01 38925
2011-01-01 37749
2012-01-01 39353
2013-01-01 38774
2014-01-01 42406
2015-01-01 43291
2016-01-01 43271
2017-01-01 46371
2018-01-01 46278
2019-01-01 47504
2020-01-01 49629
2021-01-01 49314
2022-01-01 55990

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