Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Potter County, PA
Series ID MHICIUBPA42105A052NCEN
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 23845
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27357
1994-01-01 .
1995-01-01 31130
1996-01-01 .
1997-01-01 33638
1998-01-01 35805
1999-01-01 34971
2000-01-01 37272
2001-01-01 36245
2002-01-01 37155
2003-01-01 37403
2004-01-01 38467
2005-01-01 36332
2006-01-01 41206
2007-01-01 40534
2008-01-01 38910
2009-01-01 38693
2010-01-01 43545
2011-01-01 43017
2012-01-01 44474
2013-01-01 43508
2014-01-01 43738
2015-01-01 45260
2016-01-01 48091
2017-01-01 44247
2018-01-01 48565
2019-01-01 52845
2020-01-01 58566
2021-01-01 56319
2022-01-01 58278

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