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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Centre County, PA
Series ID MHICIUBPA42027A052NCEN
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 30585
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34886
1994-01-01 .
1995-01-01 37910
1996-01-01 .
1997-01-01 41212
1998-01-01 43396
1999-01-01 39866
2000-01-01 41231
2001-01-01 39890
2002-01-01 39856
2003-01-01 40300
2004-01-01 41272
2005-01-01 41121
2006-01-01 44082
2007-01-01 47688
2008-01-01 50664
2009-01-01 50621
2010-01-01 47218
2011-01-01 49895
2012-01-01 52709
2013-01-01 55908
2014-01-01 54053
2015-01-01 58695
2016-01-01 61829
2017-01-01 59719
2018-01-01 62576
2019-01-01 64671
2020-01-01 66453
2021-01-01 71524
2022-01-01 72295

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