Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Franklin County, TN
Series ID MHICIUBTN47051A052NCEN
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 26139
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29525
1994-01-01 .
1995-01-01 33317
1996-01-01 .
1997-01-01 35115
1998-01-01 36092
1999-01-01 36922
2000-01-01 39072
2001-01-01 37744
2002-01-01 37964
2003-01-01 38919
2004-01-01 40846
2005-01-01 42611
2006-01-01 43890
2007-01-01 45072
2008-01-01 44156
2009-01-01 43421
2010-01-01 42836
2011-01-01 43088
2012-01-01 45548
2013-01-01 44849
2014-01-01 47284
2015-01-01 51122
2016-01-01 50645
2017-01-01 53988
2018-01-01 55065
2019-01-01 59848
2020-01-01 56606
2021-01-01 63261
2022-01-01 66466

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