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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Erie County, PA
Series ID MHICILBPA42049A052NCEN
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 1:11 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 25269
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28747
1994-01-01 .
1995-01-01 31809
1996-01-01 .
1997-01-01 32495
1998-01-01 33040
1999-01-01 33744
2000-01-01 35260
2001-01-01 34481
2002-01-01 34367
2003-01-01 34957
2004-01-01 35643
2005-01-01 38346
2006-01-01 38054
2007-01-01 41042
2008-01-01 41802
2009-01-01 40832
2010-01-01 40667
2011-01-01 40478
2012-01-01 44185
2013-01-01 42397
2014-01-01 43587
2015-01-01 44645
2016-01-01 46743
2017-01-01 48519
2018-01-01 45988
2019-01-01 50100
2020-01-01 51876
2021-01-01 53612
2022-01-01 54003

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