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 Cotton County, OK Series ID: MHICIUBOK40033A052NCEN 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 1:51 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 21410 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 25528 1994-01-01 . 1995-01-01 26036 1996-01-01 . 1997-01-01 30300 1998-01-01 31359 1999-01-01 29826 2000-01-01 31065 2001-01-01 30429 2002-01-01 29697 2003-01-01 31191 2004-01-01 32443 2005-01-01 33626 2006-01-01 37512 2007-01-01 39962 2008-01-01 47949 2009-01-01 46832 2010-01-01 43320 2011-01-01 41816 2012-01-01 41702 2013-01-01 44228 2014-01-01 45445 2015-01-01 47225 2016-01-01 47106 2017-01-01 46671 2018-01-01 48087 2019-01-01 51675 2020-01-01 53296 2021-01-01 54250 2022-01-01 56809