Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Patrick County, VA
Series ID MHICILBVA51141A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 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
1989-01-01 20395
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23145
1994-01-01 .
1995-01-01 24166
1996-01-01 .
1997-01-01 26613
1998-01-01 27624
1999-01-01 27259
2000-01-01 27958
2001-01-01 27223
2002-01-01 27461
2003-01-01 28117
2004-01-01 28709
2005-01-01 28802
2006-01-01 30664
2007-01-01 30307
2008-01-01 31294
2009-01-01 30062
2010-01-01 30902
2011-01-01 31370
2012-01-01 31149
2013-01-01 31353
2014-01-01 31416
2015-01-01 33566
2016-01-01 34586
2017-01-01 36462
2018-01-01 38899
2019-01-01 39439
2020-01-01 39124
2021-01-01 42018
2022-01-01 43468
2023-01-01 44951

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