Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for McKean County, PA
Series ID MHICILBPA42083A052NCEN
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 1:11 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 21333
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25252
1994-01-01 .
1995-01-01 27578
1996-01-01 .
1997-01-01 29414
1998-01-01 30587
1999-01-01 30992
2000-01-01 31834
2001-01-01 31083
2002-01-01 31275
2003-01-01 32375
2004-01-01 32959
2005-01-01 34075
2006-01-01 35815
2007-01-01 35164
2008-01-01 35777
2009-01-01 36546
2010-01-01 37625
2011-01-01 37780
2012-01-01 38302
2013-01-01 39862
2014-01-01 41422
2015-01-01 43416
2016-01-01 40156
2017-01-01 42143
2018-01-01 43846
2019-01-01 48852
2020-01-01 46347
2021-01-01 50355
2022-01-01 53284

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