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 Cattaraugus County, NY Series ID: MHICIUBNY36009A052NCEN 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 26324 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 29303 1994-01-01 . 1995-01-01 32275 1996-01-01 . 1997-01-01 34229 1998-01-01 34924 1999-01-01 34868 2000-01-01 37223 2001-01-01 35735 2002-01-01 35932 2003-01-01 37106 2004-01-01 38447 2005-01-01 39305 2006-01-01 40950 2007-01-01 42546 2008-01-01 44926 2009-01-01 40717 2010-01-01 43024 2011-01-01 41498 2012-01-01 45086 2013-01-01 43323 2014-01-01 46545 2015-01-01 43210 2016-01-01 49134 2017-01-01 50764 2018-01-01 50664 2019-01-01 53153 2020-01-01 57121 2021-01-01 58561 2022-01-01 56392