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 Bexar County, TX Series ID: MHICIUBTX48029A052NCEN 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 24515 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 28218 1994-01-01 . 1995-01-01 31987 1996-01-01 . 1997-01-01 34771 1998-01-01 36617 1999-01-01 38442 2000-01-01 42057 2001-01-01 41343 2002-01-01 40758 2003-01-01 40824 2004-01-01 40984 2005-01-01 42865 2006-01-01 43849 2007-01-01 45736 2008-01-01 46915 2009-01-01 46365 2010-01-01 48911 2011-01-01 47760 2012-01-01 50698 2013-01-01 50700 2014-01-01 51579 2015-01-01 53158 2016-01-01 54237 2017-01-01 55427 2018-01-01 55616 2019-01-01 60257 2020-01-01 62330 2021-01-01 64377 2022-01-01 67739