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 Adams County, MS Series ID: MHICILBMS28001A052NCEN 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 1:12 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 14285 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 17270 1994-01-01 . 1995-01-01 19127 1996-01-01 . 1997-01-01 20329 1998-01-01 21715 1999-01-01 23347 2000-01-01 24059 2001-01-01 23442 2002-01-01 23393 2003-01-01 23789 2004-01-01 23546 2005-01-01 24978 2006-01-01 24722 2007-01-01 26524 2008-01-01 27503 2009-01-01 26390 2010-01-01 26126 2011-01-01 24473 2012-01-01 27222 2013-01-01 28614 2014-01-01 29209 2015-01-01 29745 2016-01-01 29895 2017-01-01 27784 2018-01-01 29699 2019-01-01 30662 2020-01-01 32920 2021-01-01 37533 2022-01-01 34712