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 Orange County, NY Series ID: MHICILBNY36071A052NCEN 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 1:54 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 33789 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 39268 1994-01-01 . 1995-01-01 40798 1996-01-01 . 1997-01-01 43529 1998-01-01 46499 1999-01-01 46496 2000-01-01 49813 2001-01-01 48751 2002-01-01 49470 2003-01-01 50039 2004-01-01 51519 2005-01-01 59260 2006-01-01 60611 2007-01-01 61811 2008-01-01 67580 2009-01-01 65718 2010-01-01 63763 2011-01-01 63345 2012-01-01 63146 2013-01-01 66104 2014-01-01 66452 2015-01-01 67722 2016-01-01 68504 2017-01-01 74298 2018-01-01 71530 2019-01-01 79757 2020-01-01 73708 2021-01-01 84210 2022-01-01 84604