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 Brown County, TX Series ID: MHICIUBTX48049A052NCEN 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 22493 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 25388 1994-01-01 . 1995-01-01 28380 1996-01-01 . 1997-01-01 30054 1998-01-01 31375 1999-01-01 31977 2000-01-01 33969 2001-01-01 32838 2002-01-01 33029 2003-01-01 33906 2004-01-01 34863 2005-01-01 36842 2006-01-01 38949 2007-01-01 41040 2008-01-01 43454 2009-01-01 38828 2010-01-01 40481 2011-01-01 41916 2012-01-01 45779 2013-01-01 42031 2014-01-01 44618 2015-01-01 45616 2016-01-01 47478 2017-01-01 44591 2018-01-01 51337 2019-01-01 59471 2020-01-01 53908 2021-01-01 53882 2022-01-01 57379