Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Dinwiddie County, VA
Series ID MHICIUBVA51053A052NCEN
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 33433
1994-01-01 .
1995-01-01 36191
1996-01-01 .
1997-01-01 37944
1998-01-01 40314
1999-01-01 42325
2000-01-01 44985
2001-01-01 42609
2002-01-01 43385
2003-01-01 44833
2004-01-01 47124
2005-01-01 51512
2006-01-01 52967
2007-01-01 51398
2008-01-01 54904
2009-01-01 53169
2010-01-01 54612
2011-01-01 53496
2012-01-01 55501
2013-01-01 56317
2014-01-01 56344
2015-01-01 56252
2016-01-01 59137
2017-01-01 63089
2018-01-01 63232
2019-01-01 64614
2020-01-01 71449
2021-01-01 73637
2022-01-01 78279

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