Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Franklin County, TN
Series ID MHICILBTN47051A052NCEN
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 21632
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25035
1994-01-01 .
1995-01-01 27186
1996-01-01 .
1997-01-01 28899
1998-01-01 29937
1999-01-01 32412
2000-01-01 33671
2001-01-01 32935
2002-01-01 33103
2003-01-01 34372
2004-01-01 36113
2005-01-01 37042
2006-01-01 37412
2007-01-01 37985
2008-01-01 37624
2009-01-01 37443
2010-01-01 37658
2011-01-01 36782
2012-01-01 38584
2013-01-01 38105
2014-01-01 40418
2015-01-01 43450
2016-01-01 44479
2017-01-01 45204
2018-01-01 45337
2019-01-01 48790
2020-01-01 42376
2021-01-01 52185
2022-01-01 56368
2023-01-01 57361

Subscribe to the FRED newsletter


Follow us

Back to Top