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 Cleburne County, AL Series ID: MHICIUBAL01029A052NCEN 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 1:53 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 24664 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 27080 1994-01-01 . 1995-01-01 29841 1996-01-01 . 1997-01-01 32170 1998-01-01 34206 1999-01-01 32523 2000-01-01 33949 2001-01-01 33284 2002-01-01 33550 2003-01-01 34946 2004-01-01 36340 2005-01-01 37483 2006-01-01 38067 2007-01-01 41722 2008-01-01 41156 2009-01-01 41539 2010-01-01 40781 2011-01-01 42942 2012-01-01 41716 2013-01-01 44226 2014-01-01 44624 2015-01-01 46121 2016-01-01 47824 2017-01-01 50299 2018-01-01 50531 2019-01-01 57151 2020-01-01 57876 2021-01-01 54850 2022-01-01 54445