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 Castro County, TX Series ID: MHICILBTX48069A052NCEN 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 21642 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 23029 1994-01-01 . 1995-01-01 23619 1996-01-01 . 1997-01-01 24795 1998-01-01 26368 1999-01-01 27816 2000-01-01 29072 2001-01-01 29000 2002-01-01 26789 2003-01-01 32379 2004-01-01 31338 2005-01-01 30936 2006-01-01 30750 2007-01-01 31460 2008-01-01 33131 2009-01-01 31155 2010-01-01 32670 2011-01-01 34335 2012-01-01 36981 2013-01-01 36950 2014-01-01 39346 2015-01-01 39232 2016-01-01 40376 2017-01-01 37667 2018-01-01 41052 2019-01-01 46680 2020-01-01 46977 2021-01-01 56988 2022-01-01 52943