Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Greensville County, VA
Series ID MHICIUBVA51081A052NCEN
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 3:11 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 28867
1994-01-01 .
1995-01-01 30094
1996-01-01 .
1997-01-01 31130
1998-01-01 32412
1999-01-01 31882
2000-01-01 33986
2001-01-01 32041
2002-01-01 31832
2003-01-01 32157
2004-01-01 32826
2005-01-01 40449
2006-01-01 37965
2007-01-01 40560
2008-01-01 40441
2009-01-01 39588
2010-01-01 42119
2011-01-01 41175
2012-01-01 40433
2013-01-01 41447
2014-01-01 40307
2015-01-01 44421
2016-01-01 45789
2017-01-01 49686
2018-01-01 48326
2019-01-01 52449
2020-01-01 55680
2021-01-01 55400
2022-01-01 53167
2023-01-01 60758

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