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 Sabine County, TX Series ID: MHICIUBTX48403A052NCEN 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 19396 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 22207 1994-01-01 . 1995-01-01 26804 1996-01-01 . 1997-01-01 28274 1998-01-01 29929 1999-01-01 29271 2000-01-01 30786 2001-01-01 29507 2002-01-01 29860 2003-01-01 30420 2004-01-01 31746 2005-01-01 29229 2006-01-01 34293 2007-01-01 37456 2008-01-01 36747 2009-01-01 38347 2010-01-01 36985 2011-01-01 38125 2012-01-01 39318 2013-01-01 40823 2014-01-01 39414 2015-01-01 40325 2016-01-01 42492 2017-01-01 41779 2018-01-01 45129 2019-01-01 48902 2020-01-01 55527 2021-01-01 51831 2022-01-01 56428