Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Franklin County, NY Series ID: MHICILBNY36033A052NCEN 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 19179 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 23173 1994-01-01 . 1995-01-01 24374 1996-01-01 . 1997-01-01 26131 1998-01-01 27447 1999-01-01 28755 2000-01-01 29792 2001-01-01 29209 2002-01-01 29681 2003-01-01 30594 2004-01-01 31846 2005-01-01 33741 2006-01-01 34412 2007-01-01 36512 2008-01-01 37425 2009-01-01 37645 2010-01-01 38046 2011-01-01 36898 2012-01-01 42583 2013-01-01 39331 2014-01-01 42313 2015-01-01 42226 2016-01-01 46477 2017-01-01 47553 2018-01-01 46093 2019-01-01 46035 2020-01-01 54812 2021-01-01 50801 2022-01-01 54570