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 Caldwell County, MO Series ID: MHICIUBMO29025A052NCEN 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 1:11 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 21435 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 24972 1994-01-01 . 1995-01-01 27958 1996-01-01 . 1997-01-01 31854 1998-01-01 33146 1999-01-01 33580 2000-01-01 35683 2001-01-01 35382 2002-01-01 36221 2003-01-01 37114 2004-01-01 37511 2005-01-01 37768 2006-01-01 41080 2007-01-01 41572 2008-01-01 43158 2009-01-01 41302 2010-01-01 42604 2011-01-01 47773 2012-01-01 44495 2013-01-01 44779 2014-01-01 46817 2015-01-01 47709 2016-01-01 49062 2017-01-01 49092 2018-01-01 51851 2019-01-01 57845 2020-01-01 53359 2021-01-01 58343 2022-01-01 61411