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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Orleans County, NY
Series ID MHICILBNY36073A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:08 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 25201
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29384
1994-01-01 .
1995-01-01 30564
1996-01-01 .
1997-01-01 31834
1998-01-01 33487
1999-01-01 34074
2000-01-01 35573
2001-01-01 34679
2002-01-01 34210
2003-01-01 34743
2004-01-01 36127
2005-01-01 38569
2006-01-01 43652
2007-01-01 40215
2008-01-01 43138
2009-01-01 39646
2010-01-01 41197
2011-01-01 41078
2012-01-01 42091
2013-01-01 39975
2014-01-01 42683
2015-01-01 44459
2016-01-01 47413
2017-01-01 44449
2018-01-01 49699
2019-01-01 48446
2020-01-01 49941
2021-01-01 50024
2022-01-01 57636
2023-01-01 59369
2024-01-01 65042

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