Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Adams County, WI Series ID: MHICILBWI55001A052NCEN 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 2021-01-01 Last Updated: 2022-12-21 9:58 AM 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 18503 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 22375 1994-01-01 . 1995-01-01 25325 1996-01-01 . 1997-01-01 27186 1998-01-01 28593 1999-01-01 30421 2000-01-01 31421 2001-01-01 30851 2002-01-01 31609 2003-01-01 32954 2004-01-01 33502 2005-01-01 34776 2006-01-01 34590 2007-01-01 35696 2008-01-01 35784 2009-01-01 36640 2010-01-01 39808 2011-01-01 37084 2012-01-01 39145 2013-01-01 41190 2014-01-01 39278 2015-01-01 39690 2016-01-01 39134 2017-01-01 40710 2018-01-01 39766 2019-01-01 48422 2020-01-01 47026 2021-01-01 48942