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 Putnam County, MO Series ID: MHICIUBMO29171A052NCEN 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 17830 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 20824 1994-01-01 . 1995-01-01 22808 1996-01-01 . 1997-01-01 26236 1998-01-01 27084 1999-01-01 27546 2000-01-01 29598 2001-01-01 28672 2002-01-01 29036 2003-01-01 29858 2004-01-01 32208 2005-01-01 32814 2006-01-01 33934 2007-01-01 33789 2008-01-01 36187 2009-01-01 35079 2010-01-01 35434 2011-01-01 37583 2012-01-01 38183 2013-01-01 37549 2014-01-01 38047 2015-01-01 41085 2016-01-01 42805 2017-01-01 42247 2018-01-01 45253 2019-01-01 47443 2020-01-01 53307 2021-01-01 51375 2022-01-01 55470