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 Ector County, TX Series ID: MHICIUBTX48135A052NCEN 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 26532 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 29387 1994-01-01 . 1995-01-01 31310 1996-01-01 . 1997-01-01 34106 1998-01-01 35131 1999-01-01 32403 2000-01-01 34781 2001-01-01 34456 2002-01-01 34464 2003-01-01 35277 2004-01-01 36366 2005-01-01 37481 2006-01-01 41254 2007-01-01 46918 2008-01-01 50229 2009-01-01 46952 2010-01-01 45293 2011-01-01 50925 2012-01-01 52966 2013-01-01 57025 2014-01-01 59725 2015-01-01 65744 2016-01-01 57634 2017-01-01 58078 2018-01-01 64763 2019-01-01 70235 2020-01-01 70333 2021-01-01 63331 2022-01-01 71809