Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Wayne County, PA
Series ID MHICIUBPA42127A052NCEN
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 26184
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30108
1994-01-01 .
1995-01-01 33268
1996-01-01 .
1997-01-01 34633
1998-01-01 35639
1999-01-01 35570
2000-01-01 37841
2001-01-01 36715
2002-01-01 37587
2003-01-01 38975
2004-01-01 40876
2005-01-01 41128
2006-01-01 42688
2007-01-01 44522
2008-01-01 48250
2009-01-01 48987
2010-01-01 46089
2011-01-01 50552
2012-01-01 47180
2013-01-01 48376
2014-01-01 51770
2015-01-01 52837
2016-01-01 53570
2017-01-01 53996
2018-01-01 57810
2019-01-01 60190
2020-01-01 61076
2021-01-01 58730
2022-01-01 62274

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