Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Davidson County, TN
Series ID MHICIUBTN47037A052NCEN
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 1:51 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 30072
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32827
1994-01-01 .
1995-01-01 37806
1996-01-01 .
1997-01-01 41894
1998-01-01 43959
1999-01-01 41960
2000-01-01 43260
2001-01-01 42189
2002-01-01 42223
2003-01-01 43415
2004-01-01 44504
2005-01-01 41737
2006-01-01 43310
2007-01-01 47828
2008-01-01 48002
2009-01-01 47599
2010-01-01 45218
2011-01-01 45615
2012-01-01 46737
2013-01-01 48478
2014-01-01 49993
2015-01-01 53313
2016-01-01 56762
2017-01-01 60503
2018-01-01 62416
2019-01-01 66145
2020-01-01 68000
2021-01-01 68293
2022-01-01 74634

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