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 Saratoga County, NY Series ID: MHICIUBNY36091A052NCEN 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 1:09 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 37540 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 42967 1994-01-01 . 1995-01-01 46662 1996-01-01 . 1997-01-01 49236 1998-01-01 51300 1999-01-01 51449 2000-01-01 54959 2001-01-01 54734 2002-01-01 56105 2003-01-01 57132 2004-01-01 59213 2005-01-01 61655 2006-01-01 59932 2007-01-01 64976 2008-01-01 66656 2009-01-01 70057 2010-01-01 68506 2011-01-01 66880 2012-01-01 69340 2013-01-01 73345 2014-01-01 75217 2015-01-01 78646 2016-01-01 78948 2017-01-01 86505 2018-01-01 86923 2019-01-01 92844 2020-01-01 87347 2021-01-01 91865 2022-01-01 97966