Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Madison County, NY
Series ID MHICIUBNY36053A052NCEN
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 31441
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35650
1994-01-01 .
1995-01-01 39002
1996-01-01 .
1997-01-01 41338
1998-01-01 42849
1999-01-01 41745
2000-01-01 44222
2001-01-01 42820
2002-01-01 42846
2003-01-01 42807
2004-01-01 44040
2005-01-01 47108
2006-01-01 49406
2007-01-01 54132
2008-01-01 53298
2009-01-01 53900
2010-01-01 53541
2011-01-01 52347
2012-01-01 51048
2013-01-01 54585
2014-01-01 54657
2015-01-01 60890
2016-01-01 61491
2017-01-01 60896
2018-01-01 62240
2019-01-01 66783
2020-01-01 69491
2021-01-01 71407
2022-01-01 73563

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