Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Stewart County, TN
Series ID MHICILBTN47161A052NCEN
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 2:32 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 18053
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22372
1994-01-01 .
1995-01-01 24891
1996-01-01 .
1997-01-01 25424
1998-01-01 27472
1999-01-01 29784
2000-01-01 30799
2001-01-01 30430
2002-01-01 31134
2003-01-01 32725
2004-01-01 33756
2005-01-01 32362
2006-01-01 34654
2007-01-01 41142
2008-01-01 37106
2009-01-01 35005
2010-01-01 36680
2011-01-01 36601
2012-01-01 37675
2013-01-01 39498
2014-01-01 37411
2015-01-01 40642
2016-01-01 40489
2017-01-01 43024
2018-01-01 41845
2019-01-01 46184
2020-01-01 47732
2021-01-01 50329
2022-01-01 52948
2023-01-01 53332

Subscribe to the FRED newsletter


Follow us

Back to Top