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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Otsego County, NY
Series ID MHICILBNY36077A052NCEN
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 21760
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26183
1994-01-01 .
1995-01-01 27072
1996-01-01 .
1997-01-01 29391
1998-01-01 30391
1999-01-01 30780
2000-01-01 31823
2001-01-01 31352
2002-01-01 31684
2003-01-01 32249
2004-01-01 34246
2005-01-01 36025
2006-01-01 39236
2007-01-01 40274
2008-01-01 38589
2009-01-01 38507
2010-01-01 39757
2011-01-01 40457
2012-01-01 44897
2013-01-01 45081
2014-01-01 40662
2015-01-01 44911
2016-01-01 47892
2017-01-01 47526
2018-01-01 51796
2019-01-01 47432
2020-01-01 53741
2021-01-01 57404
2022-01-01 65947
2023-01-01 58542
2024-01-01 61388

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