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 Grayson County, TX Series ID: MHICIUBTX48181A052NCEN 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 27718 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 30413 1994-01-01 . 1995-01-01 33520 1996-01-01 . 1997-01-01 36203 1998-01-01 37647 1999-01-01 38069 2000-01-01 40769 2001-01-01 39542 2002-01-01 39500 2003-01-01 40209 2004-01-01 41258 2005-01-01 42535 2006-01-01 45139 2007-01-01 47055 2008-01-01 47823 2009-01-01 45909 2010-01-01 47419 2011-01-01 46993 2012-01-01 48990 2013-01-01 47083 2014-01-01 52657 2015-01-01 51291 2016-01-01 53797 2017-01-01 58204 2018-01-01 53254 2019-01-01 60771 2020-01-01 62554 2021-01-01 66712 2022-01-01 69349