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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Herkimer County, NY
Series ID MHICILBNY36043A052NCEN
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 21866
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24692
1994-01-01 .
1995-01-01 25576
1996-01-01 .
1997-01-01 27234
1998-01-01 28339
1999-01-01 30168
2000-01-01 31484
2001-01-01 30827
2002-01-01 31114
2003-01-01 31963
2004-01-01 33081
2005-01-01 34623
2006-01-01 36193
2007-01-01 36494
2008-01-01 37726
2009-01-01 37724
2010-01-01 40144
2011-01-01 38073
2012-01-01 43029
2013-01-01 39638
2014-01-01 40974
2015-01-01 47436
2016-01-01 46934
2017-01-01 43270
2018-01-01 49165
2019-01-01 51892
2020-01-01 54701
2021-01-01 56227
2022-01-01 58031

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