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 Chautauqua County, NY Series ID: MHICILBNY36013A052NCEN 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 1:11 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 21908 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 25286 1994-01-01 . 1995-01-01 26762 1996-01-01 . 1997-01-01 28202 1998-01-01 29189 1999-01-01 30501 2000-01-01 32090 2001-01-01 31328 2002-01-01 31383 2003-01-01 31958 2004-01-01 32671 2005-01-01 33813 2006-01-01 35598 2007-01-01 37246 2008-01-01 37766 2009-01-01 35679 2010-01-01 37887 2011-01-01 39537 2012-01-01 39745 2013-01-01 38554 2014-01-01 40080 2015-01-01 41587 2016-01-01 40179 2017-01-01 43523 2018-01-01 43556 2019-01-01 47695 2020-01-01 46448 2021-01-01 44828 2022-01-01 52473