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 Otero County, CO Series ID: MHICIUBCO08089A052NCEN 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 21017 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 23655 1994-01-01 . 1995-01-01 27243 1996-01-01 . 1997-01-01 28248 1998-01-01 29324 1999-01-01 30209 2000-01-01 32281 2001-01-01 30940 2002-01-01 30598 2003-01-01 31265 2004-01-01 32317 2005-01-01 35532 2006-01-01 36206 2007-01-01 34369 2008-01-01 36477 2009-01-01 32717 2010-01-01 37222 2011-01-01 32870 2012-01-01 38242 2013-01-01 39972 2014-01-01 36278 2015-01-01 37861 2016-01-01 40247 2017-01-01 42002 2018-01-01 43895 2019-01-01 48634 2020-01-01 52650 2021-01-01 50605 2022-01-01 52376