Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Clearfield County, PA Series ID: MHICILBPA42033A052NCEN 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 20665 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 23491 1994-01-01 . 1995-01-01 25253 1996-01-01 . 1997-01-01 27085 1998-01-01 28312 1999-01-01 29308 2000-01-01 30274 2001-01-01 29434 2002-01-01 29981 2003-01-01 31015 2004-01-01 32090 2005-01-01 31083 2006-01-01 32559 2007-01-01 34540 2008-01-01 35327 2009-01-01 35067 2010-01-01 34566 2011-01-01 38863 2012-01-01 39904 2013-01-01 37119 2014-01-01 37697 2015-01-01 41654 2016-01-01 43087 2017-01-01 45224 2018-01-01 43382 2019-01-01 43605 2020-01-01 44497 2021-01-01 51256