Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Jefferson County, PA
Series ID MHICILBPA42065A052NCEN
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 2:05 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 21395
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23948
1994-01-01 .
1995-01-01 25330
1996-01-01 .
1997-01-01 27355
1998-01-01 28667
1999-01-01 29765
2000-01-01 30807
2001-01-01 29904
2002-01-01 30131
2003-01-01 30925
2004-01-01 32297
2005-01-01 31903
2006-01-01 32978
2007-01-01 34643
2008-01-01 35274
2009-01-01 35994
2010-01-01 35451
2011-01-01 36422
2012-01-01 38884
2013-01-01 39603
2014-01-01 41842
2015-01-01 43274
2016-01-01 40292
2017-01-01 40820
2018-01-01 43313
2019-01-01 47940
2020-01-01 49976
2021-01-01 46761
2022-01-01 51073
2023-01-01 45449

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