Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Cheatham County, TN
Series ID MHICIUBTN47021A052NCEN
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 1:09 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 30785
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 37599
1994-01-01 .
1995-01-01 43115
1996-01-01 .
1997-01-01 44096
1998-01-01 45705
1999-01-01 47375
2000-01-01 50469
2001-01-01 49318
2002-01-01 50031
2003-01-01 51153
2004-01-01 52431
2005-01-01 53542
2006-01-01 54294
2007-01-01 56531
2008-01-01 61378
2009-01-01 55583
2010-01-01 54475
2011-01-01 53743
2012-01-01 55810
2013-01-01 56281
2014-01-01 55769
2015-01-01 62018
2016-01-01 63659
2017-01-01 63249
2018-01-01 67731
2019-01-01 66459
2020-01-01 86798
2021-01-01 81997
2022-01-01 85136

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