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Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Orange County, NY

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Orange County, NY
Series ID MHICIUBNY36071A052NCEN
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 (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.
DATE VALUE
1989-01-01 37836
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 43486
1994-01-01 .
1995-01-01 46393
1996-01-01 .
1997-01-01 49346
1998-01-01 52288
1999-01-01 52704
2000-01-01 57277
2001-01-01 55544
2002-01-01 56436
2003-01-01 56498
2004-01-01 58228
2005-01-01 64285
2006-01-01 66490
2007-01-01 67787
2008-01-01 73110
2009-01-01 70396
2010-01-01 67261
2011-01-01 67951
2012-01-01 68376
2013-01-01 70394
2014-01-01 72004
2015-01-01 74602
2016-01-01 75422
2017-01-01 80914
2018-01-01 78566
2019-01-01 86619
2020-01-01 83740
2021-01-01 92778
2022-01-01 92460

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