Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Polk County, TN
Series ID MHICIUBTN47139A052NCEN
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 2:31 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 22372
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26250
1994-01-01 .
1995-01-01 30423
1996-01-01 .
1997-01-01 30865
1998-01-01 32153
1999-01-01 31400
2000-01-01 33181
2001-01-01 31920
2002-01-01 32427
2003-01-01 32594
2004-01-01 34556
2005-01-01 34521
2006-01-01 36175
2007-01-01 37824
2008-01-01 37029
2009-01-01 37652
2010-01-01 38304
2011-01-01 38641
2012-01-01 39297
2013-01-01 40538
2014-01-01 40429
2015-01-01 42535
2016-01-01 45511
2017-01-01 44615
2018-01-01 46271
2019-01-01 51036
2020-01-01 55170
2021-01-01 56223
2022-01-01 60230
2023-01-01 63567

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