Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Mercer County, PA
Series ID MHICIUBPA42085A052NCEN
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 1:51 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 26957
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29272
1994-01-01 .
1995-01-01 33265
1996-01-01 .
1997-01-01 35077
1998-01-01 36212
1999-01-01 36083
2000-01-01 38264
2001-01-01 36836
2002-01-01 37147
2003-01-01 38016
2004-01-01 38936
2005-01-01 40556
2006-01-01 40438
2007-01-01 42837
2008-01-01 42507
2009-01-01 44655
2010-01-01 42175
2011-01-01 42970
2012-01-01 44427
2013-01-01 45941
2014-01-01 45821
2015-01-01 48824
2016-01-01 51292
2017-01-01 49313
2018-01-01 51813
2019-01-01 56497
2020-01-01 56483
2021-01-01 58219
2022-01-01 62220

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