Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Wyoming County, PA
Series ID MHICIUBPA42131A052NCEN
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 1:09 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 29156
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33698
1994-01-01 .
1995-01-01 36214
1996-01-01 .
1997-01-01 38188
1998-01-01 39875
1999-01-01 38747
2000-01-01 40863
2001-01-01 39884
2002-01-01 40484
2003-01-01 41263
2004-01-01 42507
2005-01-01 43141
2006-01-01 48998
2007-01-01 49287
2008-01-01 48295
2009-01-01 46716
2010-01-01 49669
2011-01-01 51988
2012-01-01 50795
2013-01-01 49949
2014-01-01 59142
2015-01-01 55595
2016-01-01 58803
2017-01-01 59768
2018-01-01 61865
2019-01-01 64652
2020-01-01 65875
2021-01-01 66246
2022-01-01 73221

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