Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Pulaski County, VA
Series ID MHICILBVA51155A052NCEN
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 3:12 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 22367
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23627
1994-01-01 .
1995-01-01 25794
1996-01-01 .
1997-01-01 28704
1998-01-01 30921
1999-01-01 31826
2000-01-01 32665
2001-01-01 31784
2002-01-01 32181
2003-01-01 33523
2004-01-01 34189
2005-01-01 32211
2006-01-01 36150
2007-01-01 37161
2008-01-01 36687
2009-01-01 36531
2010-01-01 38720
2011-01-01 35860
2012-01-01 39054
2013-01-01 40013
2014-01-01 42468
2015-01-01 44735
2016-01-01 47508
2017-01-01 45978
2018-01-01 47226
2019-01-01 50317
2020-01-01 46068
2021-01-01 48287
2022-01-01 52101
2023-01-01 53911

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