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 Mills County, TX Series ID: MHICIUBTX48333A052NCEN 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 1:09 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 20181 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 23030 1994-01-01 . 1995-01-01 24936 1996-01-01 . 1997-01-01 27125 1998-01-01 27571 1999-01-01 30747 2000-01-01 32752 2001-01-01 31549 2002-01-01 31029 2003-01-01 31293 2004-01-01 32902 2005-01-01 35961 2006-01-01 37252 2007-01-01 39178 2008-01-01 38861 2009-01-01 37991 2010-01-01 39574 2011-01-01 42906 2012-01-01 42424 2013-01-01 43969 2014-01-01 42467 2015-01-01 45145 2016-01-01 48145 2017-01-01 47184 2018-01-01 50462 2019-01-01 52380 2020-01-01 56199 2021-01-01 60541 2022-01-01 64201