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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Oswego County, NY
Series ID MHICILBNY36075A052NCEN
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 27058
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29937
1994-01-01 .
1995-01-01 31146
1996-01-01 .
1997-01-01 32849
1998-01-01 34264
1999-01-01 33906
2000-01-01 34993
2001-01-01 34356
2002-01-01 34935
2003-01-01 35934
2004-01-01 36827
2005-01-01 38654
2006-01-01 37196
2007-01-01 42554
2008-01-01 40482
2009-01-01 43320
2010-01-01 41978
2011-01-01 40900
2012-01-01 44222
2013-01-01 43216
2014-01-01 43770
2015-01-01 47182
2016-01-01 50088
2017-01-01 49672
2018-01-01 50666
2019-01-01 54088
2020-01-01 54770
2021-01-01 56079
2022-01-01 56915
2023-01-01 63879
2024-01-01 62996

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