Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Knox County, TX
Series ID MHICIUBTX48275A052NCEN
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 20820
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22811
1994-01-01 .
1995-01-01 24614
1996-01-01 .
1997-01-01 26939
1998-01-01 28379
1999-01-01 26815
2000-01-01 28295
2001-01-01 27750
2002-01-01 27315
2003-01-01 28447
2004-01-01 29201
2005-01-01 30468
2006-01-01 33368
2007-01-01 33284
2008-01-01 34542
2009-01-01 34538
2010-01-01 34025
2011-01-01 36772
2012-01-01 35999
2013-01-01 37737
2014-01-01 40610
2015-01-01 46256
2016-01-01 41591
2017-01-01 41754
2018-01-01 44029
2019-01-01 45577
2020-01-01 52595
2021-01-01 50897
2022-01-01 52748

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