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 Holt County, MO Series ID: MHICILBMO29087A052NCEN 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 1:12 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 16572 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 19622 1994-01-01 . 1995-01-01 20596 1996-01-01 . 1997-01-01 24858 1998-01-01 25515 1999-01-01 27205 2000-01-01 28439 2001-01-01 28185 2002-01-01 28080 2003-01-01 29644 2004-01-01 30721 2005-01-01 29582 2006-01-01 33443 2007-01-01 32844 2008-01-01 33741 2009-01-01 34948 2010-01-01 36112 2011-01-01 37173 2012-01-01 36225 2013-01-01 38795 2014-01-01 37807 2015-01-01 39482 2016-01-01 38375 2017-01-01 42433 2018-01-01 42582 2019-01-01 42028 2020-01-01 43716 2021-01-01 48236 2022-01-01 46207