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 Texas Series ID: MHICIUBTX48000A052NCEN 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 12:51 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 27003 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 29765 1994-01-01 . 1995-01-01 32572 1996-01-01 33986 1997-01-01 35700 1998-01-01 36684 1999-01-01 39246 2000-01-01 40418 2001-01-01 41382 2002-01-01 41352 2003-01-01 41153 2004-01-01 42811 2005-01-01 42410 2006-01-01 45227 2007-01-01 47867 2008-01-01 50268 2009-01-01 48528 2010-01-01 48963 2011-01-01 49776 2012-01-01 51012 2013-01-01 51952 2014-01-01 53440 2015-01-01 55981 2016-01-01 56881 2017-01-01 59678 2018-01-01 60910 2019-01-01 64540 2020-01-01 66731 2021-01-01 67470 2022-01-01 72719