Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Dinwiddie County, VA
Series ID MHICILBVA51053A052NCEN
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 2:32 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 28930
1994-01-01 .
1995-01-01 30008
1996-01-01 .
1997-01-01 31699
1998-01-01 34157
1999-01-01 37240
2000-01-01 38833
2001-01-01 37076
2002-01-01 37745
2003-01-01 39576
2004-01-01 41588
2005-01-01 44807
2006-01-01 44962
2007-01-01 43392
2008-01-01 45467
2009-01-01 46022
2010-01-01 46458
2011-01-01 46808
2012-01-01 46761
2013-01-01 47411
2014-01-01 48232
2015-01-01 49136
2016-01-01 50473
2017-01-01 51479
2018-01-01 51282
2019-01-01 52334
2020-01-01 55685
2021-01-01 59157
2022-01-01 67111
2023-01-01 77461

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