Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Miami County, IN Series ID: MHICILBIN18103A052NCEN 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 1:54 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 22483 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 26907 1994-01-01 . 1995-01-01 27971 1996-01-01 . 1997-01-01 31665 1998-01-01 33817 1999-01-01 35688 2000-01-01 37131 2001-01-01 36458 2002-01-01 36508 2003-01-01 37159 2004-01-01 38769 2005-01-01 37970 2006-01-01 40027 2007-01-01 40942 2008-01-01 40418 2009-01-01 36037 2010-01-01 37175 2011-01-01 39933 2012-01-01 40038 2013-01-01 39961 2014-01-01 38135 2015-01-01 43359 2016-01-01 43669 2017-01-01 44615 2018-01-01 43376 2019-01-01 50751 2020-01-01 48444 2021-01-01 53765 2022-01-01 58094