Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Jefferson County, PA
Series ID MHICIUBPA42065A052NCEN
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 2:31 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 25912
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28482
1994-01-01 .
1995-01-01 31484
1996-01-01 .
1997-01-01 33542
1998-01-01 34776
1999-01-01 33927
2000-01-01 35803
2001-01-01 34381
2002-01-01 34639
2003-01-01 35131
2004-01-01 36731
2005-01-01 36660
2006-01-01 37373
2007-01-01 37894
2008-01-01 39827
2009-01-01 40733
2010-01-01 40371
2011-01-01 41680
2012-01-01 42868
2013-01-01 43671
2014-01-01 45778
2015-01-01 47724
2016-01-01 45048
2017-01-01 47002
2018-01-01 50189
2019-01-01 53638
2020-01-01 55736
2021-01-01 55437
2022-01-01 57423
2023-01-01 53411

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