Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wayne County, NY
Series ID MHICILBNY36117A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:32 AM 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 30283
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34089
1994-01-01 .
1995-01-01 36576
1996-01-01 .
1997-01-01 37251
1998-01-01 37924
1999-01-01 38973
2000-01-01 40838
2001-01-01 40755
2002-01-01 40692
2003-01-01 41393
2004-01-01 42635
2005-01-01 44888
2006-01-01 45189
2007-01-01 49382
2008-01-01 52057
2009-01-01 46491
2010-01-01 47752
2011-01-01 48792
2012-01-01 46265
2013-01-01 48141
2014-01-01 45295
2015-01-01 48678
2016-01-01 54989
2017-01-01 49621
2018-01-01 58284
2019-01-01 57028
2020-01-01 57001
2021-01-01 61665
2022-01-01 65063
2023-01-01 67541

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