Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wayne County, PA
Series ID MHICILBPA42127A052NCEN
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 21632
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25546
1994-01-01 .
1995-01-01 27136
1996-01-01 .
1997-01-01 28369
1998-01-01 29423
1999-01-01 31257
2000-01-01 32577
2001-01-01 32023
2002-01-01 32757
2003-01-01 34363
2004-01-01 36009
2005-01-01 35736
2006-01-01 38236
2007-01-01 38991
2008-01-01 43222
2009-01-01 43085
2010-01-01 41165
2011-01-01 45096
2012-01-01 41350
2013-01-01 43238
2014-01-01 45556
2015-01-01 47017
2016-01-01 45144
2017-01-01 45974
2018-01-01 49394
2019-01-01 52340
2020-01-01 50178
2021-01-01 49942
2022-01-01 51672
2023-01-01 62888

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