Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Dickson County, TN
Series ID MHICILBTN47043A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:53 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
1989-01-01 22428
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26779
1994-01-01 .
1995-01-01 29177
1996-01-01 .
1997-01-01 31027
1998-01-01 33042
1999-01-01 35237
2000-01-01 36490
2001-01-01 35979
2002-01-01 36058
2003-01-01 36930
2004-01-01 38032
2005-01-01 38872
2006-01-01 40341
2007-01-01 42402
2008-01-01 42702
2009-01-01 40144
2010-01-01 40085
2011-01-01 39399
2012-01-01 40366
2013-01-01 41947
2014-01-01 41808
2015-01-01 44590
2016-01-01 48721
2017-01-01 45317
2018-01-01 53423
2019-01-01 55703
2020-01-01 55678
2021-01-01 56974
2022-01-01 63521

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