Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Kiowa County, CO Series ID: MHICIUBCO08061A052NCEN 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 33586 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 31387 1994-01-01 . 1995-01-01 34362 1996-01-01 . 1997-01-01 35798 1998-01-01 36872 1999-01-01 34131 2000-01-01 35473 2001-01-01 35284 2002-01-01 31903 2003-01-01 33401 2004-01-01 31384 2005-01-01 34239 2006-01-01 36034 2007-01-01 37609 2008-01-01 42494 2009-01-01 40847 2010-01-01 41212 2011-01-01 45593 2012-01-01 44194 2013-01-01 46604 2014-01-01 45652 2015-01-01 46411 2016-01-01 48621 2017-01-01 48614 2018-01-01 49480 2019-01-01 51901 2020-01-01 56797 2021-01-01 64203 2022-01-01 62706