Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Clearfield County, PA
Series ID MHICIUBPA42033A052NCEN
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 1:09 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 25187
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28023
1994-01-01 .
1995-01-01 31394
1996-01-01 .
1997-01-01 33250
1998-01-01 34402
1999-01-01 33374
2000-01-01 35160
2001-01-01 33778
2002-01-01 34421
2003-01-01 35197
2004-01-01 36424
2005-01-01 34819
2006-01-01 35995
2007-01-01 38791
2008-01-01 39320
2009-01-01 39593
2010-01-01 39484
2011-01-01 43953
2012-01-01 43134
2013-01-01 42705
2014-01-01 42763
2015-01-01 47018
2016-01-01 49259
2017-01-01 50412
2018-01-01 50030
2019-01-01 50329
2020-01-01 53091
2021-01-01 57822
2022-01-01 62909

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