Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Clarion County, PA
Series ID MHICILBPA42031A052NCEN
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 3:13 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 20932
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23840
1994-01-01 .
1995-01-01 25396
1996-01-01 .
1997-01-01 27471
1998-01-01 29101
1999-01-01 29242
2000-01-01 29937
2001-01-01 29310
2002-01-01 29772
2003-01-01 30773
2004-01-01 32024
2005-01-01 32497
2006-01-01 36124
2007-01-01 34033
2008-01-01 39691
2009-01-01 36636
2010-01-01 35560
2011-01-01 38997
2012-01-01 38577
2013-01-01 37046
2014-01-01 40903
2015-01-01 36853
2016-01-01 42008
2017-01-01 42558
2018-01-01 43036
2019-01-01 45499
2020-01-01 46870
2021-01-01 52722
2022-01-01 53519
2023-01-01 51905

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