Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Moore County, TN
Series ID MHICIUBTN47127A052NCEN
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 29816
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34639
1994-01-01 .
1995-01-01 38789
1996-01-01 .
1997-01-01 40013
1998-01-01 40748
1999-01-01 38436
2000-01-01 40163
2001-01-01 40115
2002-01-01 41228
2003-01-01 43070
2004-01-01 45537
2005-01-01 47124
2006-01-01 48794
2007-01-01 51852
2008-01-01 50000
2009-01-01 51370
2010-01-01 49220
2011-01-01 53007
2012-01-01 51651
2013-01-01 55598
2014-01-01 55629
2015-01-01 58267
2016-01-01 60529
2017-01-01 61354
2018-01-01 64355
2019-01-01 67924
2020-01-01 72813
2021-01-01 70191
2022-01-01 76388

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