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 Wise County, TX Series ID: MHICILBTX48497A052NCEN 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 1:11 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 24472 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 27538 1994-01-01 . 1995-01-01 30319 1996-01-01 . 1997-01-01 33089 1998-01-01 35685 1999-01-01 38193 2000-01-01 40032 2001-01-01 39997 2002-01-01 40568 2003-01-01 42123 2004-01-01 43425 2005-01-01 46930 2006-01-01 47267 2007-01-01 49203 2008-01-01 52797 2009-01-01 50697 2010-01-01 49054 2011-01-01 50402 2012-01-01 50026 2013-01-01 53794 2014-01-01 55353 2015-01-01 53460 2016-01-01 53301 2017-01-01 55455 2018-01-01 60665 2019-01-01 64057 2020-01-01 62192 2021-01-01 71384 2022-01-01 74752