Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lawrence County, TN
Series ID MHICILBTN47099A052NCEN
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 1:12 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 19046
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23085
1994-01-01 .
1995-01-01 25727
1996-01-01 .
1997-01-01 26261
1998-01-01 27401
1999-01-01 28361
2000-01-01 28962
2001-01-01 28441
2002-01-01 28631
2003-01-01 29823
2004-01-01 30807
2005-01-01 33680
2006-01-01 30387
2007-01-01 33188
2008-01-01 33569
2009-01-01 31909
2010-01-01 32542
2011-01-01 31505
2012-01-01 33670
2013-01-01 36660
2014-01-01 31843
2015-01-01 36863
2016-01-01 38477
2017-01-01 38070
2018-01-01 39520
2019-01-01 40363
2020-01-01 44216
2021-01-01 44960
2022-01-01 50353

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