NOTE: THIS DATA FILE WILL CHANGE! To improve accessibility of data for all users, we will convert this file from a text format to an html table by the end of June 2024. Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Sherman County, TX Series ID: MHICIUBTX48421A052NCEN 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 (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 30647 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 34487 1994-01-01 . 1995-01-01 33020 1996-01-01 . 1997-01-01 38448 1998-01-01 40816 1999-01-01 36833 2000-01-01 38518 2001-01-01 38499 2002-01-01 34869 2003-01-01 36650 2004-01-01 37907 2005-01-01 39879 2006-01-01 40413 2007-01-01 42506 2008-01-01 46187 2009-01-01 47020 2010-01-01 45504 2011-01-01 49325 2012-01-01 50562 2013-01-01 52825 2014-01-01 54252 2015-01-01 59258 2016-01-01 61762 2017-01-01 54705 2018-01-01 63367 2019-01-01 62240 2020-01-01 76938 2021-01-01 70501 2022-01-01 81387