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 Clarke County, AL Series ID: MHICILBAL01025A052NCEN 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 1:55 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 17758 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 20316 1994-01-01 . 1995-01-01 21997 1996-01-01 . 1997-01-01 23798 1998-01-01 24985 1999-01-01 25930 2000-01-01 26654 2001-01-01 26135 2002-01-01 26103 2003-01-01 26897 2004-01-01 27036 2005-01-01 26940 2006-01-01 27100 2007-01-01 29429 2008-01-01 30886 2009-01-01 29366 2010-01-01 30531 2011-01-01 29383 2012-01-01 31450 2013-01-01 31267 2014-01-01 33045 2015-01-01 33522 2016-01-01 31391 2017-01-01 32871 2018-01-01 36839 2019-01-01 38855 2020-01-01 37403 2021-01-01 40973 2022-01-01 39361