Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Montgomery County, PA Series ID: MHICILBPA42091A052NCEN 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 1:11 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 38721 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 44792 1994-01-01 . 1995-01-01 49729 1996-01-01 . 1997-01-01 53062 1998-01-01 55278 1999-01-01 56288 2000-01-01 60669 2001-01-01 60388 2002-01-01 61043 2003-01-01 61786 2004-01-01 62249 2005-01-01 66515 2006-01-01 69509 2007-01-01 71980 2008-01-01 76293 2009-01-01 73179 2010-01-01 73924 2011-01-01 74441 2012-01-01 75136 2013-01-01 74683 2014-01-01 77118 2015-01-01 81097 2016-01-01 81805 2017-01-01 84942 2018-01-01 87193 2019-01-01 90405 2020-01-01 91412 2021-01-01 100109 2022-01-01 104496