Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Columbia County, NY Series ID: MHICILBNY36021A052NCEN 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 24991 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 29978 1994-01-01 . 1995-01-01 30961 1996-01-01 . 1997-01-01 33620 1998-01-01 35416 1999-01-01 37016 2000-01-01 39118 2001-01-01 38342 2002-01-01 38471 2003-01-01 38884 2004-01-01 40468 2005-01-01 44096 2006-01-01 47936 2007-01-01 49798 2008-01-01 49349 2009-01-01 45975 2010-01-01 46689 2011-01-01 49308 2012-01-01 48887 2013-01-01 53523 2014-01-01 51882 2015-01-01 55229 2016-01-01 52686 2017-01-01 55634 2018-01-01 61889 2019-01-01 66921 2020-01-01 58113 2021-01-01 63221 2022-01-01 78126