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 Todd County, SD Series ID: MHICILBSD46121A052NCEN 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 11663 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 14136 1994-01-01 . 1995-01-01 15639 1996-01-01 . 1997-01-01 14649 1998-01-01 15324 1999-01-01 18079 2000-01-01 19019 2001-01-01 18256 2002-01-01 18311 2003-01-01 19521 2004-01-01 20718 2005-01-01 20597 2006-01-01 21394 2007-01-01 21958 2008-01-01 24471 2009-01-01 22143 2010-01-01 23837 2011-01-01 23944 2012-01-01 26607 2013-01-01 28277 2014-01-01 24624 2015-01-01 26217 2016-01-01 26036 2017-01-01 25848 2018-01-01 28288 2019-01-01 29885 2020-01-01 26893 2021-01-01 32112 2022-01-01 36533