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 Stephens County, TX Series ID: MHICILBTX48429A052NCEN 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 17976 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 19651 1994-01-01 . 1995-01-01 21994 1996-01-01 . 1997-01-01 22985 1998-01-01 24783 1999-01-01 26825 2000-01-01 27951 2001-01-01 27668 2002-01-01 27031 2003-01-01 27588 2004-01-01 28498 2005-01-01 28980 2006-01-01 28736 2007-01-01 32359 2008-01-01 34377 2009-01-01 33401 2010-01-01 34416 2011-01-01 33613 2012-01-01 37252 2013-01-01 39631 2014-01-01 39745 2015-01-01 40952 2016-01-01 38290 2017-01-01 37979 2018-01-01 38570 2019-01-01 41022 2020-01-01 41681 2021-01-01 40725 2022-01-01 44357