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 Bastrop County, TX Series ID: MHICILBTX48021A052NCEN 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 20316 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 25365 1994-01-01 . 1995-01-01 28402 1996-01-01 . 1997-01-01 30944 1998-01-01 33006 1999-01-01 37684 2000-01-01 40130 2001-01-01 39948 2002-01-01 40004 2003-01-01 41050 2004-01-01 41533 2005-01-01 43293 2006-01-01 46544 2007-01-01 48460 2008-01-01 47494 2009-01-01 45985 2010-01-01 46234 2011-01-01 47513 2012-01-01 46102 2013-01-01 46066 2014-01-01 48422 2015-01-01 52255 2016-01-01 51576 2017-01-01 57832 2018-01-01 56005 2019-01-01 55619 2020-01-01 69306 2021-01-01 65602 2022-01-01 67826