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 Colorado County, TX Series ID: MHICILBTX48089A052NCEN 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 1:11 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 18496 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 21568 1994-01-01 . 1995-01-01 23775 1996-01-01 . 1997-01-01 25868 1998-01-01 27012 1999-01-01 29464 2000-01-01 30358 2001-01-01 29976 2002-01-01 29728 2003-01-01 30538 2004-01-01 31797 2005-01-01 31968 2006-01-01 33726 2007-01-01 35553 2008-01-01 35679 2009-01-01 37998 2010-01-01 38131 2011-01-01 39485 2012-01-01 37259 2013-01-01 38736 2014-01-01 42648 2015-01-01 43443 2016-01-01 43062 2017-01-01 43987 2018-01-01 43674 2019-01-01 53121 2020-01-01 45762 2021-01-01 57439 2022-01-01 52328