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 Gillespie County, TX Series ID: MHICIUBTX48171A052NCEN 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 1:51 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 23387 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 28628 1994-01-01 . 1995-01-01 32559 1996-01-01 . 1997-01-01 34563 1998-01-01 35883 1999-01-01 38814 2000-01-01 41575 2001-01-01 40770 2002-01-01 41402 2003-01-01 42751 2004-01-01 44460 2005-01-01 45487 2006-01-01 49072 2007-01-01 54268 2008-01-01 60688 2009-01-01 53487 2010-01-01 51534 2011-01-01 55968 2012-01-01 55852 2013-01-01 55040 2014-01-01 58432 2015-01-01 59466 2016-01-01 63816 2017-01-01 64450 2018-01-01 67118 2019-01-01 68017 2020-01-01 70448 2021-01-01 79645 2022-01-01 85321