Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Clarion County, PA
Series ID MHICIUBPA42031A052NCEN
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 3:11 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 25358
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28268
1994-01-01 .
1995-01-01 31449
1996-01-01 .
1997-01-01 33636
1998-01-01 35182
1999-01-01 33354
2000-01-01 34797
2001-01-01 33633
2002-01-01 34183
2003-01-01 34921
2004-01-01 36332
2005-01-01 37047
2006-01-01 39811
2007-01-01 38013
2008-01-01 44493
2009-01-01 39672
2010-01-01 39920
2011-01-01 43849
2012-01-01 44499
2013-01-01 43040
2014-01-01 45501
2015-01-01 43123
2016-01-01 47332
2017-01-01 48756
2018-01-01 49532
2019-01-01 52847
2020-01-01 58414
2021-01-01 58380
2022-01-01 62169
2023-01-01 61917

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