NOTE: THIS DATA FILE WILL CHANGE! To improve accessibility of data for all users, we will convert this file from a text format to an html table by the end of June 2024. Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Onondaga County, NY Series ID: MHICILBNY36067A052NCEN 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 29777 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 34142 1994-01-01 . 1995-01-01 34372 1996-01-01 . 1997-01-01 35659 1998-01-01 37173 1999-01-01 36796 2000-01-01 38472 2001-01-01 38152 2002-01-01 38635 2003-01-01 39517 2004-01-01 40973 2005-01-01 43177 2006-01-01 44494 2007-01-01 46683 2008-01-01 49181 2009-01-01 48155 2010-01-01 48881 2011-01-01 51417 2012-01-01 50999 2013-01-01 50627 2014-01-01 51203 2015-01-01 55710 2016-01-01 55157 2017-01-01 55781 2018-01-01 57644 2019-01-01 59916 2020-01-01 60908 2021-01-01 63816 2022-01-01 68686