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 Saguache County, CO Series ID: MHICIUBCO08109A052NCEN 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 18331 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 22809 1994-01-01 . 1995-01-01 24448 1996-01-01 . 1997-01-01 26171 1998-01-01 26718 1999-01-01 26172 2000-01-01 27224 2001-01-01 25974 2002-01-01 25147 2003-01-01 25705 2004-01-01 25530 2005-01-01 28465 2006-01-01 30820 2007-01-01 33161 2008-01-01 36599 2009-01-01 31753 2010-01-01 33874 2011-01-01 33720 2012-01-01 33048 2013-01-01 38118 2014-01-01 34531 2015-01-01 37590 2016-01-01 37273 2017-01-01 40491 2018-01-01 40716 2019-01-01 41455 2020-01-01 59372 2021-01-01 48679 2022-01-01 50837