Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Rusk County, TX Series ID: MHICILBTX48401A052NCEN 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 1:53 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 (https://www.census.gov/programs-surveys/saipe/about.html) (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 (https://www.census.gov/programs-surveys/saipe/guidance/confidence-intervals.html). DATE VALUE 1989-01-01 20539 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 22868 1994-01-01 . 1995-01-01 23866 1996-01-01 . 1997-01-01 26315 1998-01-01 27568 1999-01-01 29608 2000-01-01 30915 2001-01-01 30679 2002-01-01 30721 2003-01-01 31687 2004-01-01 33196 2005-01-01 34454 2006-01-01 37554 2007-01-01 38266 2008-01-01 39628 2009-01-01 39746 2010-01-01 39851 2011-01-01 38053 2012-01-01 41218 2013-01-01 40660 2014-01-01 42931 2015-01-01 45808 2016-01-01 42275 2017-01-01 45994 2018-01-01 45234 2019-01-01 51940 2020-01-01 51484 2021-01-01 47434 2022-01-01 49627