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 Lower Bound of Estimate of Median Household Income for Medina County, TX Series ID: MHICILBTX48325A052NCEN 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 1:53 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 18914 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 23449 1994-01-01 . 1995-01-01 25992 1996-01-01 . 1997-01-01 26528 1998-01-01 28116 1999-01-01 31533 2000-01-01 33144 2001-01-01 32651 2002-01-01 32772 2003-01-01 33910 2004-01-01 35373 2005-01-01 35712 2006-01-01 40409 2007-01-01 41202 2008-01-01 40895 2009-01-01 41336 2010-01-01 43693 2011-01-01 43093 2012-01-01 48462 2013-01-01 50654 2014-01-01 49040 2015-01-01 47936 2016-01-01 46903 2017-01-01 51638 2018-01-01 54647 2019-01-01 54314 2020-01-01 57089 2021-01-01 57162 2022-01-01 64031