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 Lower Bound of Estimate of Median Household Income for Taylor County, TX Series ID: MHICILBTX48441A052NCEN 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 21654 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 25383 1994-01-01 . 1995-01-01 25944 1996-01-01 . 1997-01-01 28519 1998-01-01 29383 1999-01-01 30615 2000-01-01 32105 2001-01-01 31410 2002-01-01 30853 2003-01-01 31529 2004-01-01 32624 2005-01-01 33693 2006-01-01 36599 2007-01-01 37129 2008-01-01 38820 2009-01-01 39931 2010-01-01 39337 2011-01-01 37602 2012-01-01 40673 2013-01-01 41763 2014-01-01 42955 2015-01-01 43813 2016-01-01 45042 2017-01-01 46894 2018-01-01 45330 2019-01-01 50808 2020-01-01 47709 2021-01-01 50857 2022-01-01 57801