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 Larimer County, CO Series ID: MHICILBCO08069A052NCEN 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 28162 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 33176 1994-01-01 . 1995-01-01 38492 1996-01-01 . 1997-01-01 40951 1998-01-01 42984 1999-01-01 44819 2000-01-01 46429 2001-01-01 46072 2002-01-01 46515 2003-01-01 47384 2004-01-01 48014 2005-01-01 47657 2006-01-01 51594 2007-01-01 50868 2008-01-01 54885 2009-01-01 53161 2010-01-01 52395 2011-01-01 53595 2012-01-01 54471 2013-01-01 56730 2014-01-01 54716 2015-01-01 62292 2016-01-01 63938 2017-01-01 65276 2018-01-01 68569 2019-01-01 72643 2020-01-01 76976 2021-01-01 74775 2022-01-01 82935