Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Rusk County, TX
Series ID MHICIUBTX48401A052NCEN
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 25029
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27384
1994-01-01 .
1995-01-01 30040
1996-01-01 .
1997-01-01 32504
1998-01-01 33680
1999-01-01 33703
2000-01-01 35888
2001-01-01 35174
2002-01-01 35242
2003-01-01 35934
2004-01-01 37629
2005-01-01 40575
2006-01-01 43245
2007-01-01 45545
2008-01-01 45515
2009-01-01 46520
2010-01-01 46785
2011-01-01 45627
2012-01-01 47738
2013-01-01 48038
2014-01-01 49923
2015-01-01 52886
2016-01-01 50567
2017-01-01 53750
2018-01-01 54342
2019-01-01 60132
2020-01-01 62424
2021-01-01 58938
2022-01-01 60543

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