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 Upper Bound of Estimate of Median Household Income for Cayuga County, NY Series ID: MHICIUBNY36011A052NCEN 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 1:51 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 28867 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 32678 1994-01-01 . 1995-01-01 35845 1996-01-01 . 1997-01-01 38567 1998-01-01 39689 1999-01-01 38265 2000-01-01 40755 2001-01-01 39716 2002-01-01 39998 2003-01-01 40613 2004-01-01 42007 2005-01-01 43794 2006-01-01 46539 2007-01-01 47499 2008-01-01 50192 2009-01-01 50627 2010-01-01 50187 2011-01-01 50552 2012-01-01 51151 2013-01-01 51901 2014-01-01 54995 2015-01-01 54798 2016-01-01 56660 2017-01-01 58426 2018-01-01 56587 2019-01-01 61679 2020-01-01 65310 2021-01-01 66246 2022-01-01 67153