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 Murray County, OK Series ID: MHICILBOK40099A052NCEN 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 17432 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 19117 1994-01-01 . 1995-01-01 20362 1996-01-01 . 1997-01-01 22160 1998-01-01 23240 1999-01-01 27122 2000-01-01 28270 2001-01-01 28039 2002-01-01 28438 2003-01-01 29260 2004-01-01 30707 2005-01-01 30413 2006-01-01 33920 2007-01-01 34661 2008-01-01 36346 2009-01-01 35030 2010-01-01 36563 2011-01-01 36798 2012-01-01 38697 2013-01-01 47229 2014-01-01 39572 2015-01-01 41053 2016-01-01 43500 2017-01-01 41728 2018-01-01 45839 2019-01-01 45477 2020-01-01 48113 2021-01-01 49688 2022-01-01 54529