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 Conejos County, CO Series ID: MHICILBCO08021A052NCEN 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 1:54 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 12255 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 15406 1994-01-01 . 1995-01-01 17125 1996-01-01 . 1997-01-01 17401 1998-01-01 18523 1999-01-01 22475 2000-01-01 23433 2001-01-01 23103 2002-01-01 23280 2003-01-01 25094 2004-01-01 25403 2005-01-01 25452 2006-01-01 26044 2007-01-01 27484 2008-01-01 27714 2009-01-01 27497 2010-01-01 29231 2011-01-01 29427 2012-01-01 29042 2013-01-01 31755 2014-01-01 30741 2015-01-01 33667 2016-01-01 30962 2017-01-01 32904 2018-01-01 34727 2019-01-01 36350 2020-01-01 35048 2021-01-01 40791 2022-01-01 43269