Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Madison County, NY
Series ID MHICILBNY36053A052NCEN
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 1:54 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 27051
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31212
1994-01-01 .
1995-01-01 32931
1996-01-01 .
1997-01-01 35232
1998-01-01 36825
1999-01-01 36728
2000-01-01 38134
2001-01-01 37368
2002-01-01 37376
2003-01-01 37748
2004-01-01 38839
2005-01-01 41901
2006-01-01 43555
2007-01-01 47717
2008-01-01 46407
2009-01-01 48878
2010-01-01 46999
2011-01-01 46305
2012-01-01 45392
2013-01-01 47529
2014-01-01 48543
2015-01-01 55298
2016-01-01 53915
2017-01-01 52058
2018-01-01 55988
2019-01-01 56643
2020-01-01 59267
2021-01-01 61431
2022-01-01 66139

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