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 Taylor County, TX Series ID: MHICIUBTX48441A052NCEN 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 26162 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 29901 1994-01-01 . 1995-01-01 32090 1996-01-01 . 1997-01-01 34675 1998-01-01 35469 1999-01-01 34873 2000-01-01 37295 2001-01-01 36236 2002-01-01 35513 2003-01-01 35857 2004-01-01 37079 2005-01-01 37253 2006-01-01 41182 2007-01-01 42601 2008-01-01 43645 2009-01-01 45054 2010-01-01 43779 2011-01-01 43834 2012-01-01 45689 2013-01-01 46399 2014-01-01 48163 2015-01-01 50963 2016-01-01 51388 2017-01-01 53782 2018-01-01 50750 2019-01-01 58122 2020-01-01 58239 2021-01-01 56783 2022-01-01 65795