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 Phelps County, MO Series ID: MHICIUBMO29161A052NCEN 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 1:52 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 24528 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 27406 1994-01-01 . 1995-01-01 30377 1996-01-01 . 1997-01-01 32593 1998-01-01 34397 1999-01-01 32016 2000-01-01 33200 2001-01-01 32236 2002-01-01 33293 2003-01-01 34563 2004-01-01 35928 2005-01-01 36001 2006-01-01 40691 2007-01-01 39386 2008-01-01 40086 2009-01-01 41505 2010-01-01 42482 2011-01-01 42807 2012-01-01 41745 2013-01-01 41957 2014-01-01 44341 2015-01-01 43134 2016-01-01 44803 2017-01-01 44635 2018-01-01 46478 2019-01-01 49598 2020-01-01 55856 2021-01-01 54872 2022-01-01 59934