Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Prowers County, CO Series ID: MHICIUBCO08099A052NCEN 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 2018-01-01 Last Updated: 2019-12-13 11:35 AM 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 24312 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 27190 1994-01-01 . 1995-01-01 29554 1996-01-01 . 1997-01-01 31985 1998-01-01 33558 1999-01-01 31674 2000-01-01 33308 2001-01-01 32171 2002-01-01 31197 2003-01-01 31404 2004-01-01 31690 2005-01-01 33767 2006-01-01 34824 2007-01-01 37924 2008-01-01 39063 2009-01-01 36427 2010-01-01 37708 2011-01-01 40083 2012-01-01 40059 2013-01-01 42237 2014-01-01 43224 2015-01-01 43960 2016-01-01 44240 2017-01-01 45298 2018-01-01 46831