Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Allegany County, NY Series ID: MHICILBNY36003A052NCEN 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 2019-01-01 Last Updated: 2020-12-11 1:20 AM 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 21362 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 25120 1994-01-01 . 1995-01-01 26494 1996-01-01 . 1997-01-01 28191 1998-01-01 29197 1999-01-01 29474 2000-01-01 30492 2001-01-01 29949 2002-01-01 30334 2003-01-01 30861 2004-01-01 31683 2005-01-01 34563 2006-01-01 35824 2007-01-01 35265 2008-01-01 38816 2009-01-01 36800 2010-01-01 39498 2011-01-01 37288 2012-01-01 38916 2013-01-01 39467 2014-01-01 39932 2015-01-01 41377 2016-01-01 42284 2017-01-01 44148 2018-01-01 43337 2019-01-01 46772