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 Edwards County, TX Series ID: MHICIUBTX48137A052NCEN 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 18824 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 22048 1994-01-01 . 1995-01-01 22004 1996-01-01 . 1997-01-01 24719 1998-01-01 24048 1999-01-01 25279 2000-01-01 27046 2001-01-01 26410 2002-01-01 26681 2003-01-01 27720 2004-01-01 29373 2005-01-01 30589 2006-01-01 30587 2007-01-01 33144 2008-01-01 34646 2009-01-01 33730 2010-01-01 35826 2011-01-01 36483 2012-01-01 37658 2013-01-01 38903 2014-01-01 39361 2015-01-01 41517 2016-01-01 40534 2017-01-01 39058 2018-01-01 41932 2019-01-01 45332 2020-01-01 52501 2021-01-01 53635 2022-01-01 57333